text:
2006-09-06T14:15:38-04:00https://images.c-span.org/Files/f10/20060906143843002_hd.jpgSenators debated an amendment to defense funding legislation expressing a sense of no confidence in the leadership of Secretary of Defense Donald Rumsfeld and calling on President Bush to remove him from the cabinet.
Senators debated an amendment to defense funding legislation expressing a sense of no confidence in the leadership of Secretary of Defense Donald Rumsfeld and calling on President Bush to remove him from the cabinet.
Transcript type Closed Captioning Record Congressional Record Legislative Actions People Graphical Timeline
Filter by Speaker All Speakers Barbara Boxer Tom Carper Saxby Chambliss Hillary Rodham Clinton John Cornyn Mark Dayton Jim DeMint Dick Durbin Judd Gregg Tom Harkin James M. Inhofe Ted Kennedy John F. Kerry Jon Kyl Frank R. Lautenberg Carl Levin John S. McCain III Barbara A. Mikulski Patty Murray Harry Reid Jay Rockefeller IV Paul S. Sarbanes Chuck Schumer Jeff Sessions Ted Stevens Craig Thomas John W. Warner
S.AMDT. 4885
Barbara Boxer U.S. Senator (Class 3) [D] California
Saxby Chambliss U.S. Senator [R] Georgia
Hillary Rodham Clinton U.S. Senator [D] New York
Mark Dayton U.S. Senator [D] Minnesota
Jim DeMint U.S. Senator [R] South Carolina
Judd Gregg U.S. Senator [R] New Hampshire
Tom Harkin U.S. Senator [D] Iowa
Ted Kennedy U.S. Senator [D] Massachusetts
John F. Kerry U.S. Senator [D] Massachusetts
Jon Kyl U.S. Senator (Class 1) [R] Arizona
Frank R. Lautenberg U.S. Senator [D] New Jersey
Carl Levin U.S. Senator [D] Michigan
John S. McCain III U.S. Senator (Class 3) [R] Arizona
Barbara A. Mikulski U.S. Senator (Class 3) [D] Maryland
Harry Reid U.S. Senator (Class 3) [D] Nevada
Jay Rockefeller IV U.S. Senator [D] West Virginia
Paul S. Sarbanes U.S. Senator [D] Maryland
Jeff Sessions U.S. Senator (Class 2) [R] Alabama
Ted Stevens U.S. Senator [R] Alaska
Craig Thomas U.S. Senator [R] Wyoming
John W. Warner U.S. Senator [R] Virginia
More Videos From
Sep 07, 2006 | 4:10am EDT | C-SPAN 2
Sep 06, 2006 | 10:59pm EDT | C-SPAN 2
The Senate convened and began a period of morning business. Thereafter, the Senate resumed consideration of S.3930, the…
The Senate convened and began a period of morning business. Thereafter, the Senate resumed consideration of the…
Senate session continued overnight and into the next day.
The Senate rejected a motion to invoke cloture on the motion to proceed to S. 1257; District of Columbia House Voting…
Sen. Ted Kennedy (D-Massachusetts)
Sen. Carl Levin (D-Michigan)
Sen. Schumer (D-New York)


text:
TLBC's Book Blog
Reading Junkie, Insomniac, and Coffee Fiend
How I rate and review
Reviews and promoting
All time favorite's
Happily Ever After (HEA)
OUT NOW!! You will love this duet...The Perfect Duet by: Meghan Quinn...Five star review!
The Left Side Of Perfect – Release Day – August 30
For better or for worse,'til death do us part . . .
The better captured me; she's who stole my heart.
And made me realize I couldn't live without this woman.
The worse of her took my breath away--kicked me when I was down and twisted me into a million knots.
When I first met her, I thought she was someone I would never see again.
The second time I ran into her, it was a random coincidence.
The third?
I didn't know it at the time, but she was the girl I was going to marry.
But life isn't always perfect. You have to take the better and the worse--even if it means giving her up, having her slip between your fingers, and letting her walk away.
I'm getting married.
This is forever, 'til death do us part.
The Right Side Of Forever – Release Day August 31
In sickness and in health, to love and to cherish . . .
It sounds so simple, to love someone unconditionally.
To give them your heart.
So why is she slowly eating away at my soul with every unanswered phone call, every unread text, and every door left unopened?
She said yes, and yet, in order for her to be with me . . . I need to let her go.
My Review (ARC provided)
Five perfect stars!
This duet was genuinely perfect, in my opinion. It's one of my favorite reads this year. Now I have to admit going into these books I was nervous. I loved Colby so much and invested so much into him I was afraid of what his story would bring. Well let me tell you it was one hell of a ride. It had me cussing while reading the prologue, laughing and fanning myself all within the first few chapters.
I was annoyed with heroine #1 at first for seducing him, I thought it was in poor taste, but...after diving into this more I couldn't be, I understood and fell in love with her character.
Heroine #2 was also such a great character, and I didn't know who I wanted Colby with. As this duet went on and I got to know both these women it became evident to me who Colby belonged with.
Let's talk about chemistry. You know how in some books the characters are supposed to have chemistry, but you don't feel it? Well, I thought that at first, but then I realized, ding ding ding nope that's how Meghan brilliantly wrote it. She didn't want you to feel it.
She also didn't handle anything stereotypically, we got angst but not in a catty let's make all the girls hate each other way. I loved that!!
I just don't know what else to say without giving anything away, but Meghan took on many topics in this book and ran. Body image issues, family troubles, and abuse, being content instead of truly happy. So much of this, we see in real life, and it really punched me in the gut.
"Love can be a stepping-stone, a path to the person you're truly supposed to be with."
"I know in the depths of my soul, that the journey was worth traveling. The journey made this perfect."
I couldn't be happier with the conclusion of Colby's story!
Born in New York and raised in Southern California, Meghan has grown into a sassy, peanut butter eating, blonde haired swearing, animal hoarding lady. She is known to bust out and dance if "It's Raining Men" starts beating through the air and heaven forbid you get a margarita in her, protect your legs because they may be humped. Once she started commuting for an hour and twenty minutes every day to work for three years, she began to have conversations play in her head, real life, deep male voices and dainty lady coos kind of conversations. Perturbed and confused, she decided to either see a therapist about the hot and steamy voices running through her head or start writing them down. She decided to go with the cheaper option and started writing… enter her first novel, Caught Looking. Now you can find the spicy, most definitely on the border of lunacy, kind of crazy lady residing in Colorado with the love of her life and her five, furry four legged children, hiking a trail or hiding behind shelves at grocery stores, wondering what kind of lube the nervous stranger will bring home to his wife. Oh and she loves a good boob squeeze! Facebook | Follow on Goodreads | Website | Amazon Author Page | Instagram | Follow on BookBub
Posted by TLBC at 5:00 AM No comments:
Dirty Headlines, an all-new sexy, enemies-to-lovers romance from USA Today bestselling author L.J. Shen is coming September 7th
Here's the first sneak peek!
Célian Laurent.
Manhattan royalty.
Notorious playboy.
Heir to a media empire.
…And my new boss.
I could have impressed him, if not for last month's unforgettable one-night stand.
I left it with more than orgasms and a pleasant memory—namely, his wallet.
Now he's staring me down like I'm the dirt under his Italian loafers, and I'm supposed to take it.
But the thing about being Judith "Jude" Humphry is I have nothing to lose.
Brooklyn girl.
Infamously quirky.
Heir to a stack of medical bills and a tattered couch.
When he looks at me from across the room, I see the glint in his eyes, and that makes us rivals.
He knows it.
Every day in the newsroom is a battle.
Every night in his bed, war.
But it's my heart at stake, and I fear I'll be raising the white flag.
Add to GoodReads: https://bit.ly/2GuCKIB
He had an American accent. Not French. American.Smooth. Familiar. Ordinary. He fired out sentences at the speed of light. I heard him, but I couldn't listen. Shock gripped my body as the pieces of the puzzle fell into place. My dirty one-night stand was my boss. My lying, American boss. And now I had to deal with that—hopefully for a very long time, because I desperately needed this job.
Someone snapped their fingers, and my gaze shot from Célian's face to Grayson.
His forehead had crumpled into a frown. "You look like you're trying hard not to cry or having a really intense orgasm. I'm hoping for you that it's the latter and some kind of a weird-slash-awesome condition. You okay?"
I nodded, scraping up a smile. "Sorry. Zero orgasms happening under this dress. I just zoned out for a second."Lies. I was about to orgasm just remembering how good Célianhad felt parting my thighs with his big, callused hands and dipping his tongue into my slit.
Then words stopped streaming down on everyone's heads like a scalding shower, and I realized that indeed there was something worse than hearing Célianspeak in his perfect American English. And that was not hearing him speak at all. Because now the icicles were pointed at me like a cocked gun.
I glanced up to meet his gaze. He stared at me for exactly one second before his focus snapped to Grayson. "Am I understood, Gregory?" he asked.
Gregory?
"Crystal clear, sir," Grayson bowed, his voice trembling at the edges.
Célian jerked his chin toward me. "Your cover girl material is going downhill."
God. Damn. Bastard.
He recognized me, and I knew it. His eyes had kindled, melting the ice and growing darker the minute our gazes mingled. He remembered, and maybe it killed him that I was here in the same way it buried me.
I want my iPod back, my gaze told him. I had over three thousand songs on that thing, and they were all too good to be wasted on that jerk.
"Jude Humphry. Junior reporter. It's her first day," Grayson highlighted, almost pleadingly. He shifted in my direction, as if he might need to physically protect me from the sharp-tongued, suited monster.
I suppressed a smile when I realized I'd told Célianmy last name was Spears. Well, he certainly wasn't a Timberlake. He was a Laurent. An American monarch through and through. A billionaire, a powerful force, and judging by our one and only encounter—a raging playboy.
This man was inside you, I internally shrieked. And not just once. His cock was buried so deep in you, you screamed. You can still taste the salty, earthy flavor of his cum.You know he has a freckle on his lower back. You know what sound he makes when he empties inside a woman.
I internally thanked my mind for ruining my panties in public, and nodded. "Pleasure to meet you, sir." I offered him my hand, my face flushing with embarrassment at my choice of words.
Everyone was looking at us, and there were at least fifty people in the room. Célian—if that was even his name—ignored my outreached hand. Instead, he turned his face to the man beside him. "Mathias, any other words of wisdom?"
Mathias? Wasn't that his father? Just how cold was the man with the icy blue eyes?
"I think you touched everything," said the big boss—and he did have a heavy French accent, so at least the lie had a seed. Mathias stared at me placidly, like he could read the secret his son and I shared on my face.
Célian spun toward me, uncuffing his cufflinks and rolling his sleeves up his veiny forearms. "Accounting can go back to their unfortunate line of work. Couture is excused from this meeting—though not forgiven for their horrid blog. Miss Humphry?" He snapped his fingers impatiently.
He was already waltzing down the narrow hallway, knowing I'd chase him like a puppy, and no doubt taking pleasure in that fact.
"I have a bone to pick with you."
Bone, boner—same difference, right?
I shot Grayson a please-save-my-butt look. His eyes said, I would but I still have a life to live.
I followed Célian down the hall, my Chucks slapping the floor in a hurry. He sliced through the throng of accountants, then stopped at a corner office, opened the door, barked "Out!" to the man inside, and tilted his head for me to go in. I did. He closed the door, and it was just the two of us.
Two feet of empty space between us.
About LJ Shen:
L.J. Shen is an International #1 best-selling author of Contemporary Romance and New Adult novels. She lives in Northern California with her husband, young son and chubby cat.
Before she'd settled down, L.J. (who thinks referring to herself in the third person is really silly, by the way) traveled the world, and collected friends from all across the globe. Friends who'd be happy to report that she is a rubbish companion, always forgets people's' birthdays and never sends Christmas cards.
She enjoys the simple things in life, like spending time with her family and friends, reading, HBO, Netflix and internet-stalking Stephen James. She reads between three to five books a week and firmly believes Crocs shoes and mullets should be outlawed.
Connect with L.J. Shen:
Facebook: https://www.facebook.com/authorljshen/
Twitter: https://twitter.com/lj_shen
Pinterest: https://www.pinterest.com/authorljshen/
Instagram: https://www.instagram.com/authorljshen/
Stay up to date with L.J. Shen by signing up for her mailing list:
http://bit.ly/2umcYPg
Website: http://www.authorljshen.com/
Posted by TLBC at 3:09 PM No comments:
Cover Reveal! Leisa Rayven-Professor Feelgood -September 16th
What's a girl to do when a man who's countless shades of wrong feels oh-so-right?
Ambitious book editor Asha Tate is a hopeless romantic. Despite her mediocre track record with men, she believes in swooning, sighing, and the everlasting love of true soul mates. Sure, sex is okay, but she's not someone who's ever been driven by her animal urges.
When Asha stumbles upon the scorching hot Instagram feed of someone calling himself Professor Feelgood, she falls in lust for the first time. Not only is she left panting over the professor's insane body, but his angst-filled poetry about losing his one true love speaks straight to her soul.
Desperately in need of a bestseller for her struggling publishing company, Asha knows the professor's potential to sell to his millions of loyal followers could be the lifeline her bosses need. However, the ink is barely dry on a book deal before she realizes she's made a terrible mistake. Sure, the professor is incredibly talented and sexier than any man has a right to be, but the man behind the persona isn't at all who she pictured. In real life, he's intense, arrogant and infuriating, and his uncanny ability to rub her the wrong way turns her dream project into a total nightmare.
Knowing that the professor is everything she doesn't want in a man should help Asha ignore her occasional urges to mount him, but she quickly learns that explosive, unwanted chemistry can make even smart people do stupid things.
Don't miss this sexy new standalone from the international bestselling author of Bad Romeo!
Amazon US: https://goo.gl/UMAViT
iBooks: https://goo.gl/dBbkHZ
B&N: https://goo.gl/Nsv67M
Kobo: https://goo.gl/u395t1
Goodreads: https://goo.gl/QazQbk
Leisa Rayven
https://twitter.com/leisarayven?lang=en
https://leisarayven.com/
https://www.goodreads.com/author/show/8034143.Leisa_Rayven
https://www.amazon.com/Leisa-Rayven/e/B00MDA7RPG
https://www.facebook.com/leisarayvenauthor/
OUT NOW!!!
A Standalone Contemporary Romance Novel
By: NY Times, USA Today, and #1 Wall Street Journal Best Selling Author, Penelope Ward
From New York Times bestselling author Penelope Ward, comes a new, sexy STANDALONE novel.
We met in the least likely of places. It started out innocently enough. I was "ScreenGod" and she was "Montana," but of course, those weren't our actual names, just the virtual cloaks we hid behind.
Logging in at night and talking to her was my escape—my sanctuary.
Her real name was Eden, I'd soon come to find out.
From the first time we connected online, I found myself transfixed.
She was an addiction.
At first, we knew nothing about each other's real identities…and she was adamant that we keep things that way. Anonymity had no effect on our unstoppable chemistry, though. If anything, it allowed us to open up even more in ways we may not have otherwise.
Eden was funny, intelligent, gorgeous—everything I'd ever wanted in a woman.
But I couldn't really have her.
I had accepted things would have to stay the way they were—until the day I found a clue that led me straight to her.
So I took a chance.
And that was when our love story really began.
Photo/Cover Details:
Cover designer: Letitia Hasser, RBA designs
Cover Model: Eddy Putter
Cover Photography: Nicole Langholz
LINKS TO LOVE ONLINE:
LOVE ONLINE is live early on Amazon and on a limited-time release sale for $3.99! (Changing SOON to $4.99. This will be the ONLY sale ever.) A fun, sexy, refreshing STANDALONE romance! Amazon ➜ https://amzn.to/2obQRa2 iTunes ➜ https://apple.co/2LzO4om B&N ➜ http://bit.ly/2wfHUQO Kobo ➜ http://bit.ly/2MYBexz Google Play ➜ http://bit.ly/2ORdVWT Amazon Paperback ➜ https://amzn.to/2LyWzAb Audible ➜https://adbl.co/2KAWnMq Amazon Audio ➜ https://amzn.to/2KF8tEl
Add to Goodreads ➜ http://bit.ly/2LJjHso
About the Author Penelope Ward is a New York Times, USA Today and #1 Wall Street Journal bestselling author of contemporary romance. She grew up in Boston with five older brothers and spent most of her twenties as a television news anchor. Penelope resides in Rhode Island with her husband, son, and beautiful daughter with autism . With over one-point-five million books sold, she is a twenty-time New York Times bestseller and the author of over twenty novels.
Sign up for Penelope's mailing list: http://eepurl.com/MnXoH
Find Penelope here: Website: http://www.penelopewardauthor.com Gmail: penelopewardauthor@gmail.com Facebook: https://www.facebook.com/penelopewardauthor Facebook Fan Group (Penelope's Peeps): https://www.facebook.com/groups/PenelopesPeeps/ Twitter: https://twitter.com/PenelopeAuthor Instagram: @penelopewardauthor http://instagram.com/PenelopeWardAuthor/ Book Bub: https://www.bookbub.com/authors/penelope-ward Goodreads: http://bit.ly/2LJjHso
OTHER BOOKS BY PENELOPE
Gentleman Nine
Amazon: https://amzn.to/2KoRJC5
iBooks: http://bit.ly/2D7K7Qi
Nook: http://bit.ly/2EPuDCn
Kobo: http://bit.ly/2nMeoP3
Google Play: http://bit.ly/2C9ESTm
Drunk Dial
Amazon: https://amzn.to/2rcBbVl
iBooks: http://apple.co/2tq7dRz
Nook: http://bit.ly/2xeEH2H
Kobo: http://bit.ly/2ihXnMD
Google Play: http://bit.ly/2LzQ2Fg
Mack Daddy
Amazon: https://amzn.to/2regybn
iTunes: http://apple.co/2iNrIPj
B&N: http://hyperurl.co/aiypfj
Kobo: http://hyperurl.co/r3hv19
Google Play: http://bit.ly/2LhHZxB
RoomHate
Amazon: https://amzn.to/2rficJw
iTunes: http://apple.co/1PgsvE7
B&N: http://bit.ly/1PLGnSL
kobo: http://bit.ly/1POvSnW
Google Play: http://bit.ly/2JMo306
Stepbrother Dearest
Amazon: https://amzn.to/2FBxe1G
ITunes: http://bit.ly/YER0mT
B&N: http://bit.ly/1taMFjG
kobo: http://bit.ly/1fJaaBs
Google Play: http://bit.ly/2JJV90V
Neighbor Dearest
Amazon: https://amzn.to/2JJQPz2
iTunes: http://apple.co/29mC6L8
B&N: http://bit.ly/2akQ2aq
Kobo: http://bit.ly/2axt1SY
Google Play: http://bit.ly/2LFzZTn
Jaded and Tyed (A novelette)
Sins of Sevin
Amazon: https://amzn.to/2I6i3T6
iTunes: http://apple.co/1K8mzGg
B&N: http://bit.ly/1hTKAKE
kobo: http://bit.ly/1OaGY3D
Google Play: http://bit.ly/2LImsup
Jake Undone
Amazon: https://amzn.to/2KoQnYd
iTunes: http://apple.co/1fJayQ8
B&N: http://bit.ly/1obAwJ6
kobo: http://bit.ly/1SPKl0M
Google Play: http://bit.ly/2uU45v3
Jake Understood (Jake #2)
Amazon: https://amzn.to/2rbAlZQ
iTunes: http://apple.co/1DQQwgC
B&N: http://bit.ly/1FwJC0z
kobo: http://bit.ly/1LQ7Fvk
Google Play: http://bit.ly/2JHWUM0
My Skylar
Amazon: https://amzn.to/2Fwe78V
iTunes: http://bit.ly/SLNOTR
B&N: http://bit.ly/SLO1qi
kobo: http://bit.ly/1kNrtAB
Google Play: http://bit.ly/2mzqkmn
Amazon: https://amzn.to/2rggfwv
iTunes: http://apple.co/1QTaONj
B&N: http://bit.ly/1KfmLHD
kobo: http://bit.ly/1BGJ2wu
Google Play: http://bit.ly/2zYoXXP
Co-written Novels
The Rush Series (2 Book Series)
Rebel Heir
Amazon: https://amzn.to/2JHynHe
iBooks: https://goo.gl/iG6fmD
B&N: http://smarturl.it/ubjd6b
Kobo: https://goo.gl/iU76VK
Google Play: http://smarturl.it/pe0ir3
Rebel Heart
Amazon: https://amzn.to/2KuY8Me
iBooks: https://apple.co/2oleXyJ
B&N: http://smarturl.it/ew2ggj
Kobo: http://bit.ly/2H7FRCm
Google Play ➜ http://smarturl.it/ko7i8e
Dear Bridget, I Want You
Amazon: https://amzn.to/2I9CSxm
iBooks: http://smarturl.it/y4x3xi
B&N: http://smarturl.it/o780mb
Kobo: http://smarturl.it/kfgc6a
Google Play: http://bit.ly/2LANW8s
Cocky Bastard
Amazon: https://amzn.to/2JIy7HT
iTunes: http://apple.co/1PffE2J
B&N: http://bit.ly/1EjxNpY
Kobo: http://bit.ly/1UxCSUO
Google Play: http://bit.ly/2NCOJTD
Stuck-Up Suit
Amazon: https://amzn.to/2KvRMfE
iBooks: http://apple.co/1Qbwy57
B&N: http://bit.ly/29vrQhV
Kobo: http:// bit.ly/1RJdUif
Google Play: http://bit.ly/2uHy4Hj
Amazon: https://amzn.to/2HFAtec
iBooks: http://apple.co/1Wb06Cf
B&N: bit.ly/2caXPEK
Kobo: http://bit.ly/2cJDXO1
Google Play: http://bit.ly/2LGePV9
Mister Moneybags
Amazon: https://amzn.to/2HFgHzm
iBooks: http://smarturl.it/3y1tuq
B&N: http://smarturl.it/kx7h8m
Kobo http://smarturl.it/qqf5ho
Google Play: http://bit.ly/2A0GTBg
Posted by TLBC at 12:54 PM No comments:
I just finished this duet and its a must read! One of my favorites this year!! Check out the excerpt...
SIGN-UP TO BE NOTIFIED WHEN THE BOOK RELEASES ON AMAZON
Her hands rest on her hips, the navy-blue Grecian-style dress draped down the length of her body, a small slit on the side that barely reaches her knee. "You're really fixated on this, aren't you?" "Nah, didn't care too much. A homemade dinner would have been nice, though." "I can't cook." "Neither can I," I answer honestly. I either eat out, or I make myself scrambled eggs, and that's about it. Rory taught me how to make meatballs once but hell if I can remember how to do that. All I know is that I enjoyed crushing the beef between my fingers. I get by with limited knowledge in the kitchen. She chuckles. "Well, aren't we a pair?" She turns to watch Stryder and Rory together. Apparently not giving a shit about the even bigger elephant in the room, Ryan asks, "Is this weird for you?" "I have a flask in my jacket pocket, so you tell me." She lifts her bouquet and pulls out a mini bottle of alcohol. She wiggles her eyebrows at me. "Thought maybe we'd both need this since we have to sit through having all these pictures taken with them." "Smirnoff? That's what you brought with you?" "It was all I had. Don't judge me." "I'm judging." Playfully she whacks my arm. "You shouldn't be judging me. It was innovative. I carved out a little space in my bouquet for this bottle. If anything, you should congratulate me on this genius idea." "Was it your idea?" "I mean"—she toes the ground—"I might have seen the idea on Pinterest along with a recipe for beer cookies that tasted like vomit." "Beer cookies?" I shake my head and take the little bottle from her. Twist the cap, tilt the bottle back, and swig. I hand it back to her, leaving half the bottle. "Even I know better than to think beer cookies would taste good." "They were for a boyfriend I was trying to impress." "Impress or poison?" "Impress." She laughs. "Although after our breakup, I should probably say poison. Teach all future suitors: if you mess with me, you get poisoned." "It'd keep me away, that's for damn sure." She finishes the rest of the little bottle and returns it to her bouquet. She pats it and says, "I can recycle it later." "Get drunk and save the earth. Sounds like a good combination to me." "Ryan and Colby, can we get you over here for a few pictures?" the photographer calls out. "That's our cue." Ryan pokes my cheek with her index finger, looking sincerely at me. "Don't forget to smile, because these pictures will last forever." "Scowling not in the job description of best man?" As we walk over, she says, "I would normally say no, but given the bride is your ex-girlfriend, one scowl is allowed." "One scowl? Damn, better make it a good one." Born in New York and raised in Southern California, Meghan has grown into a sassy, peanut butter eating, blonde haired swearing, animal hoarding lady. She is known to bust out and dance if "It's Raining Men" starts beating through the air and heaven forbid you get a margarita in her, protect your legs because they may be humped. Once she started commuting for an hour and twenty minutes every day to work for three years, she began to have conversations play in her head, real life, deep male voices and dainty lady coos kind of conversations. Perturbed and confused, she decided to either see a therapist about the hot and steamy voices running through her head or start writing them down. She decided to go with the cheaper option and started writing… enter her first novel, Caught Looking. Now you can find the spicy, most definitely on the border of lunacy, kind of crazy lady residing in Colorado with the love of her life and her five, furry four legged children, hiking a trail or hiding behind shelves at grocery stores, wondering what kind of lube the nervous stranger will bring home to his wife. Oh and she loves a good boob squeeze! Facebook | Follow on Goodreads | Website | Amazon Author Page | Instagram | Follow on BookBub
From New York Times, USA Today, and #1 Wall Street Journal Bestselling Author! Excerpt Reveal!!
Copyright © 2018, Penelope Ward Needing a few seconds to prepare, I closed my eyes the moment I knew he was about to turn on the camera. I don't know why I was so afraid to see him. Maybe I was worried his looks would somehow change the way I viewed him. I hated that I'd even had that thought. I didn't want to be unattracted to him physically because I was so very drawn to him in every other way. Shouldn't those be the ways that mattered? I was scared I would somehow feel differently about him, and he deserved better than to be judged on his physical appearance. "You can open your eyes," he said. My heart felt like it was pounding out of my chest. Here goes. One, two, three… When I saw him right in front of me, my mouth fell open. Oh. Oh my. Oh wow. Big, glowing eyes. Perfect nose. Stubbled, angular jaw. Full lips. Strong arms. I just kept blinking because I couldn't believe my eyes. He looked like a model or a movie star. A rush of insecurity hit me. Is this a joke? No, it wasn't. It was really him. Ryder. Oh my God. The lust consuming me made me feel almost guilty. But I was so damn relieved that he was truly as beautiful on the outside as I believed him to be on the inside. He was almost too beautiful, if there were such a thing. He looked nothing like the vague image I'd formed in my head, which was sort of like a silhouette without a clear face but with a brown beard, kind of like a hipster. Not sure why I'd pictured him like that. It was kind of funny how off base I was. This was not what I'd been expecting. Because how could someone so thoughtful, attentive, creative, and considerate be so strikingly handsome that he made me speechless? And it was clear now that his sexy voice absolutely fit him. "You're…" I hesitated. "Oh shit." He laughed. "What are you thinking?" "No. No, no, no. Nothing bad at all. I just don't even know how to articulate it. You're…beautiful, Ryder. Absolutely beautiful." He let out a breath. "And you're…handsome, Eden. Very handsome." His impish grin was so sexy. I chuckled. "I know beautiful is an odd term for a man, but you are. All this time you've been hiding from me when you're drop-dead gorgeous. Why?" "You really did think I was ashamed of my looks, huh?" "Well, I'd be lying if I said that didn't cross my mind. I wondered if there was something you were self-conscious about. That always made me a little sad. But it never mattered to me, because I've been connecting with you on a deeper level." "I think that's exactly why I didn't want to change things," he said. "Why fix something if it ain't broken?" When I fell silent, he asked, "What are you thinking?" A nervous energy overtook me. "Nothing. I'm…still just taking you in." "Okay. Let me know when you're done so I can stop sucking in my abs."
For more Love Online, PRE-ORDER now to continue reading on August 27th!
iTunes ➜ https://apple.co/2LzO4om B&N ➜ http://bit.ly/2wfHUQO Kobo ➜ http://bit.ly/2MYBexz Google Play ➜ http://bit.ly/2ORdVWT Amazon Paperback ➜ https://amzn.to/2LyWzAb Audible: https://adbl.co/2KAWnMq Amazon Audio: https://amzn.to/2KF8tEl Add to Goodreads: http://bit.ly/2LJjHso Sign up to be alerted when it goes live on Amazon here: http://eepurl.com/MnXoH **No Amazon e-book preorder. Will go live on/around release day.
Other books from Penelope Ward:
OUT NOW!! You will love this duet...The Perfect Du...
Dirty Headlines, an all-new sexy, enemies-to-lover...
Cover Reveal! Leisa Rayven-Professor Feelgood -Sep...
I just finished this duet and its a must read! One...
From New York Times, USA Today, and #1 Wall Street...
Hold You Close, an all-new second chance standalon...
All the Way by Kristen Proby Series: Romancing Man...
Center of Gravity, an all-new emotional standalone...
Over the Edge, the stunning conclusion to the "int...
Cover Reveal!! Dirty Headlines, an all-new sexy, e...
Out Now! Seven Minutes 'til Midnight by: Sunniva D...
Cover Reveal!! The Left Side of Perfect - The Righ...
OUT NOW!! Forever Love by: J. Lum...read my review...
Cover Reveal!
Cover Reveal! I can't wait!!
Excerpt Reveal! I've been waiting for this one!!
His True Queen by Jodi Ellen Malpas Series: Smoke ...
✮ ✮ ✮ HOT SALE ALERT! ✮ ✮ ✮
Out Now!! I'm in love with this cover! Pretty Veno...
Cover Reveal! Big Stick, an all-new standalone Spo...
Awesome Inc. theme. Theme images by suprun. Powered by Blogger.

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: I overwrote OSX with Linux by accident So here is what happened. I installed Ubuntu onto a flashdrive hoping to be able to dual boot Linux/OSX. I burned Ubuntu onto the flash drive on my desktop PC (windows 8.1) with universal USB installer, I believe. I plugged it into my Mac OSX, rebooted, held the option key, and booted from the flash drive (it recognized it as "windows" by the way).
It then started to install and I must have somehow clicked install onto the hard drive because now both my hard drive and my flash drive are Ubuntu (both recognized as "windows" in the boot screen) and I really need to get my Mac OSX back.
I get this screen every time I boot from the hard drive then get stuck at a blank (looks terminal-ish) screen which doesn't load.

I can boot from the flash drive and get this.

It at least boots into Ubuntu.

I'm really not experienced with Ubuntu and I really don't want to have to keep Linux, so please if anyone can help me I would appreciate it.
p.s like I said earlier I have a windows 8.1 PC, so I can use that to help fix it if necessary I just really need my OSX back.
If you need any more information I'll gladly give it. Here is what it looks like with my flashdrive plugged in when I choose where to boot from.

Reference

*

*Need help with linux/restoring to osx!

A: You have two options.

*

*You can restore your OSX using Mac's built-in ⌘ + R.
This requires a little explanation, so here it goes.

*

*Shut down your mac.

*Power-on, while holding down ⌘ + R.  You may release these keys as soon as you see the apple logo.

*When you see the OS X Utilities screen (pictured below), click Reinstall OS X

*This might take a while, but after you're done, you should have OS X installed.  You can update it to the newest version from the Mac App Store.

or...

*You can take your mac to an Apple Store
This should be pretty self-explanatory, due to Apple's good support.

A: The simple way is to turn your Mac in at an authorised service provider or Genius Bar.
What you can try yourself is to make a bootable USB drive with OS X. Since you only have Windows I do not know if this is possible.
You could also try to download OS X and place the dmg file on a USB drive, then try to boot from it.

A: It sounds like you don't have a backup of your original OS X setup, and since you also likely don't have the Recovery partition, you can reinstall in the following way from scratch (assuming you have a relatively recent machine):
See How to use macOS Recovery for reference - but the relevant steps are below:
macOS / OS X Internet Recovery

*

*Restart your Mac, and hold down Command + R at startup until the Apple logo appears.

After your computer finishes starting up, you should see a desktop with an OS X menu bar and an OS X Utilities window with the options listed above. If you see a login window or your own desktop instead of the Utilities window, it's possible that you didn't press Command-R early enough. Restart your computer and try again.
Choose the option you want to use from the Utilities window or the Utilities menu.
In order to reinstall OS X, you need to be connected to the Internet using Ethernet or Wi-Fi. If you're using a wireless Internet connection, click the Wi-Fi menu in the upper-right corner of the screen to select a nearby Wi-Fi network. Choose your preferred network name and enter a username and password to join the network if needed.

A: So basically yes you made a rather large mistake. If if you don't have a backup the chances of getting the data back are slim to none. Even if you are willing to pay a number of Hamiltons to a data recovery company Ubuntu has likely overwritten most if not all of your files. Chalk it up to a learning experience (EG always have a current backup. Always) and work on reinstalling your Mac O/S.
If you do want to play with Ubuntu it would be much easier to use VMWare, Parallels or the free Virtualbox and run it as a virtual machine inside of your Mac OS.
If you really have to have a dual boot, spend some time on the Ubuntu forums looking for advice on dual booting on your Mac.
Basically you'll have to use GParted (a partition editor) to shrink the Mac partition and add the Linux partition. What you did was overwrite the Mac partitions with your Linux partition. Modifying the partitions is not hard to do but it must be done carefully with attention to detail.
And once you have restored your Mac like Scot said, make a backup.

redpajama_set_name: RedPajamaStackExchange


text:
October 2020 SEALED
The Great (and Very, Very) White Way: BIPOC Theatre Artists are Demanding Equity
The Great (and Very, Very) White Way: Why BIPOC Theatre Artists are Demanding Equity
Story | Margaret Baughman
Courtesy | We See You, W. A. T.
"We See You, White American Theatre," started as a call for reckoning of racism embedded into local theaters. Now it is a movement spreading across New York City calling out injustices with a list of demands from BIPOC artists.
"In reaction to civil unrest in our country, we — Black, Indigenous and People of Color (BIPOC) theatremakers — formed a collective of multi-generational, multi-disciplinary, early career, emerging and established artists, theater managers, executives, students, administrators, dramaturges and producers, to address the scope and pervasiveness of anti-Blackness and racism in the American theater," a letter posted on the movement's website said.
When the protests for George Floyd and racial justice began this past summer, there was yet another opening to move the conversation about racism.
The We See You conglomerate to put together a letter of intent and list of demands for producers and other theatre gatekeepers. The open letter was signed by hundreds of theater workers including Lin-Manuel Miranda, Viola Davis, Sandra Oh, Uzo Aduba, Leslie Odom Jr. and Katori Hall to name a few.
For a sense of the disparities in the industry, reviews of the 2017-2018 Asian American Performers Action Coalition Visibility Report show work from white playwrights are produced four times as often as their BIPOC peers. White actors took 61.5% of the NYC roles – which is almost double their respective population size.
The demands set out in a 30-page document call for cultural competency, changes to working conditions, hiring practices and transparency regarding compensation to name a few.
"We demand acknowledgement of the exclusion, exploitation, and misrepresentation of Latinx, Asian, Middle Eastern and all People of color," the demands read. "Though, we hold distinct histories of struggle and vast differences within our communities, we name ourselves present and stand together to demand respect."
Producers and Artistic/Executive Directors hold all of the power of deciding what writers to produce and how the shows will be cast. If it wasn't already obvious, these people are almost all cisgender white men. This includes the Nederlander Organization, (owners of nine Broadway theatres), who donated $160,000 to Donald Trump's 2016 campaign.
For many people, this information will come as a surprise. On the outside, the theatre industry is seen as leaning far to the left, and that is true for many of those working for people like the Nederlanders. Decision makers and gatekeepers, on the other hand, are not.
Smaller companies, like No Exit Theatre Collective, embraced the demands immediately as a guidebook of ways they could work towards actively being anti-racist. No Exit's Co-Artistic Director, who wished to remain anonymous, is a queer, immigrant director, producer and teaching artist.
"We established roles for those already doing work with us to form a staff that would meet and create policies in response to the We See You WAT demands," they said.
She said major theatres have not announced significant shifts to their programming, staffing or institutional plans since the demands were brought forward this summer.
Until then, artists wait for companies to acknowledge the following quote from the demands: "You can't be anti-racist if your leadership is predominately white."
Rather than opening up more seats on executive teams or boards, it seems extraordinarily clear that the way for this to be accomplished is for white people that have been in power in this industry to give up their leadership positions.
"I was thankful and excited to have a call so clear to Predominantly White Institutions [PWIs] that I thought they couldn't ignore," she said. "We now know this to not be the case, and many PWIs' silence has felt very loud."
Previous How to Make Sure Your Vote Counts
Next ESSAY: I Don't Want Children and That's Okay


Quickborn. At the end of August, the total number of customers in the comdirect group stood at 2,187,569 (July: 2,176,509); over 1.5 million were with comdirect bank. The number of custody accounts amounted to 1,418,524 (July: 1,416,715) and total assets under custody totalled EUR 37.54bn in August (July: EUR 37.79bn).
In the B2C business line (comdirect bank), 603,267 securities orders were executed (July: 557,527). The number of customers in August stood at 1,500,153 (July: 1,489,031). At the end of August, the number of custody accounts amounted to 731,843 (July: 729,237). The number of current accounts rose to 604,180 (July: 594,163) and the number of Tagesgeld PLUS ("call money plus") accounts climbed to 1,061,363 (July: 1,046,592). Assets under custody in August amounted to EUR 24.03bn (July: EUR 24.21bn). Of this figure, EUR 14.17bn is attributable to portfolio volume (July: EUR 14.24bn) and EUR 9.86bn to deposit volume (July: EUR 9.97bn).
In the B2B business line (ebase) the number of customers stood at 687,416 customers in August (July: 687,478). Assets under custody in August amounted to EUR 13.51bn (July: EUR 13.58bn).
On the fifth working day following the month-end, the latest comdirect figures are posted on the bank's website at , under "Facts & figures". All press releases are available at .


Can I add a User to the Child Business Manager?
Yes, the Parent Business Manager can grant access to a User if they choose to do so.
Can a User have more than one Child Business Manager?
No, a User cannot be associated with more than one Child Business Manager per Partner.
Can I use this solution if I do not have a Line of Credit open?
Currently we only support Line of Credit payment methods for this setup.
How can I use the Solutions to Onboarding Clients at Scale?


text:
Megaceron australe is a species of beetle in the family Cerambycidae. It was described by Martins in 1960.

See also
 Megaceron

Megaceron antennicrassum

References

Neoibidionini
Beetles described in 1960

redpajama_set_name: RedPajamaWikipedia


After years of learning welding and mechanics on his own, Chris worked as a welder for nearly three years before he came to Troyer Brothers. At Troyer Brothers, he serves as a welder. His mechanical experience is also put to use in assembling new machines.
"Troyer Brothers is committed to personal service. They have been steadfast and done everything in their power to bring our product to market on time with quality assurance."


Join the American Cancer Society Young Professional Committee for a fresh and fun event. Dinner on Huron will be held Saturday, August 3rd, 2019. This one-of-a-kind event will feature a delicious dinner, musical entertainment, dancing, a spectacular raffle, and much more. With your support, the American Cancer Society saves lives, celebrates lives, and leads the fight for a world without cancer.


Which non woven textile company gives better services?
Offers customers competitive customer care support. As we are already acquainted with non woven industry, we are able to quickly identify your problem and conduct the necessary solutions. Backed by extensive industry experience, We have been able to successfully develop a dedicated team of qualified engineers and other support professionals who assist the company in offering precision and prompt service support to the customers. How can we help you? Our dedicated customer service team is available by email, phone and live chat to provide you with the best-possible non woven shopping experience.
HUIZHOU JIAHE NEW MATERIAL SCI-TECH CO.,LTD is company with greater strength in non slip tape industry. can meet the needs of most customers with diverse products. printed non woven fabric series are as follows. Jiahe coated stitchbond fabric is widely used as mattress filler cloth. . Supported by professional technical team, JIAHE fabric bonding tape receive much more high reputation than before. Jiahe coated stitchbond fabric is widely used as mattress filler cloth. The raw material of Jiahe stitchbond is high quality plastic bottle pieces. . JIAHE offers the competitive advantage of fabric for reusable shopping bags,reusable bag fabric in quality.


This entry was posted on 22/03/2011 at 16:32 and is filed under documentation, information.	You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.


text:
American Journal of Rural Development Home
American Journal of Rural Development Volume 6, 2018 - Issue 2 Website: http://www.sciepub.com/journal/ajrd
Quick Submission Back to Journal Rss Feed
Publications are Open
Access in this journal
ISSN(Print): 2333-4762 ISSN(Online): 2333-4770
Download Manuscript Template
Open Access Peer-reviewed
Farm Level Efficiency of Crop Production in the Central Highlands of Ethiopia
Beneberu Teferra , Belaineh Legesse, Jema Haji, Girma T. Kassie
American Journal of Rural Development. 2018, 6(2), 49-58. DOI: 10.12691/ajrd-6-2-4
Received June 23, 2018; Revised August 02, 2018; Accepted September 02, 2018
The gap between demand for and supply of food can be minimized by improving productivity either through introduction of modern technologies, reallocation of resources or improving the efficiency of production. It is however almost impossible to increase production by bringing more land and capital resources as they are very limiting in the rural parts of the developing world. Wheat, faba bean (horse bean) and lentil are the three most important crops in the central highlands of Ethiopia and enhancing the farm level efficiency of their production is a crucial component of the food security strategy of the government. This study aims at analyzing level and determinants of production efficiency of these crops by smallholder farmers in North Shewa zone. The study generated data from 480 randomly selected smallholder farmers in the 2015/16 production season. The study estimated, technical, allocative and economic efficiencies using Data Envelopment Analysis technique. The results showed that mean technical, allocative and economic efficiencies were 77%, 69% and 53%, respectively, indicating a substantial inefficiency in the production of these important crops. Analysis of determinants of efficiency using a double-bounded Tobit model indicates that age, education, off/non-farm income, livestock holding, credit access, extension contacts, market distance, distance to all weather road and average farm plots distance significantly affect efficiency of production. The findings of the study show that the production efficiency of these crops can be significantly improved through increased integration of the crop and livestock subsystems, investment of basic education and infrastructure, and improvement of the agricultural extension system and the rural credit services.
Keywords: allocative efficiency economic efficiency technical efficiency data envelopment analysis
Agriculture in Ethiopia accounts for 85% of employment, about 36.7% of the annual GDP and 85% of the foreign earnings 1. The issue of improving agricultural productivity has always been among the key development agenda of the Ethiopian government due to, among others, considerable increase in population and food price 2. Given fixed or declining supply of agricultural land, labor and other inputs, economic growth in countries like Ethiopia can hardly depend only on agriculture.
Crop production in North Shewa Zone of central Ethiopian highlands is constrained by technical, economic and environmental factors. These factors made the productivity of wheat, faba bean and lentil very low. The existence of production inefficiency at farm level, lack of and inexistence of improved production technologies are accountable for the low productivity of selected crops, among others 3. Yet, there is no any reliable data or information on the level of productivity and/or efficiency per unit of the limiting factors.
Most of the previous empirical efficiency studies in Ethiopia 4, 5, 6, 7, 8, 9, 10 are limited to either the estimation of technical efficiency; focused on land renting and sharecropping efficiency; or they analyzed specific crop production efficiency. However, this study differs from the previous studies is that it analyzed both technical, allocative and economic efficiency on multiple crops.
Currently, access to improved agricultural technologies and farm inputs is a long-lasting challenge Ethiopian farmers have been living with. Hence, measuring level of production efficiency and the extent of resource use inefficiency given the existing technology and input levels is critically important. Therefore, a question arises as to how farmers are using or combining the available scarce resources to produce the maximum output and sources of inefficiency differentials among farm households. These are key issues whose investigation can be useful for the formulation of policies to strengthen and improve the efficiency of crop production in the study areas. This research focuses on taking a step towards filling the above mentioned problems by collecting cross-sectional data from smallholder farmers of central highlands of Ethiopia. Hence, this research aimed at measuring technical, allocative and economic efficiencies levels and their determinants for the three key crops in the study areas.
2.1. The Study Areas
The study was conducted in Moretna Jiru, Basona Worena and Menz Gera Mdr districts in the central highlands of Ethiopia. Administratively, the districts are located in North Shewa zone of the Amhara region (Figure 1).
North Shewa zone is one of the ten administrative zones in Amhara region. The zone shares borders with south Wollo zone in the north, with Afar regional state in the east, and Oromiya regional state in south and west. The zone has an estimated total population of about 1934759 of which 50.5% are male and the remaining 49.5% are female - with an estimated area of 15954.5 km2 and population density of 121 people per km2 11.
Crop production and livestock rearing are the major sources for the households' economy. The soil in most places is black and vertisol with clay loam texture in some areas. Farmers use draft power for land preparation and other crop production activities that require traction power. The Zone receives an annual rainfall ranging 900-1100 mm. The landscape of the area is predominantly uneven and broken with plain patches of land scattered all over the place.
2.2. Data Sources, Collection and Sampling Techniques
Both primary and secondary data sets were used for this study. Primary data were collected from farmers through an interview with the help of pre-tested semi-structured questionnaire during 2015/16 cropping season. Moreover, focus group discussions were held to capture the communal wisdom on the production of these crops. Secondary data were collected from published and unpublished sources to complement the primary data.
Larger image(png format)
Figures index
Larger figure in new window
View next figure
Figure 1. Map of the study areas
Table 1. Distribution of Sample Farm Household Heads by District and Kebele
Tables index
Full Size Next Table
Three stage random sampling method was used to select sample households. In the first stage, three districts were selected based on wheat, faba bean and lentil production potential and importance of agricultural research and extension interventions. The second stage involved a random selection of two kebeles{1} from each district and the third stage involved random selection of households from each selected kebele with probability proportional to size (Table 1).
The sample size for the study is determined based on the following formula 12.
Where n is the desired sample size, Z is the inverse of the standard cumulative distribution that corresponds to the level of confidence with the value of 1.96, p is the estimated proportion of an attribute present in the population and q = 1-p. N is the size of the total population from which the sample is drawn. Assuming large population but the variability is not known in the proportion about the inputs use, p = 0.5 is considered as suggested by 13 to get the desired minimum sample size of 480 households at 95 % confidence level and ±4.5 % precision (e).
2.3. Methods of Data Analyses
2.3.1. Efficiency Analysis
There are different ways of measuring and analyzing production efficiency. Broadly, the approaches are categorized as parametric and non-parametric. The parametric methods assume that the maximum output that a producer can obtain is determined both by the production function and by random external factors such as luck or unexpected disturbances in a related market and are mainly econometric modeling based and are derived from the broad set of models known as stochastic frontier models.
The non-parametric models, in contrast to the specification of stochastic frontier models, assume the deviation of an observation from the theoretical maximum is attributed solely to the inefficiency of the firm and are mostly based on mathematical programming methods known as data envelopment approach (DEA).
There have been several studies that have analyzed data with both DEA and parametric, deterministic frontier estimators. In both studies, the authors do not observe radical differences in the results with the various procedures. That is perhaps not surprising since the main differences in their specifications concerned functional form-Cobb-Douglas for the parametric models, piecewise linear for the nonparametric ones. The differences in the inferences one draws often differ more sharply when the statistical underpinnings are made more detailed in the stochastic frontier model. In sum, the evidence is mixed, but it does appear that quite frequently, the overall picture drawn by DEA and statistical frontier based techniques are similar.
Reference 14 first introduced DEA and it has served as the corner stone for all subsequent developments in the nonparametric approach. As discussed in 15, DEA has several advantages; i.e., it does not require a prior specific functional form for the production frontier, it can handle multiple outputs and inputs. Furthermore, it also does not require the distributional assumption of the inefficiency term 15.
The disadvantage of DEA, compared to the parametric methods, is that DEA attributes all deviations from the frontier to inefficiency and post-estimation hypothesis testing is not possible. To alleviate this problem, bootstrapping methods was used. In this study, DEA-based clustering with input-oriented Constant Returns to Scale (CRS) model is used to estimate the efficiency measures using DEAP Version 2.1 computer programing as described in 16. Determinants of inefficiency were identified using double-bounded Tobit model.
I. Technical efficiency (TE) estimation
Technical efficiency is the efficiency in converting inputs to outputs. It exists when it is possible to produce more outputs with the fixed inputs available (output- orientated) or to produce a given level of output with less input (input-orientated). The input-oriented constant returns to scale (CRS) DEA frontier for the calculation of technical efficiency (TE) is given by the solution to the linear programming problem of the form
Where xi and yi are input and output vectors of the ith farmer, respectively, X is an /m x n input matrix and Y is an s x n output matrix representing data for all n farmers in the sample, is a scalar, and λ is an n X 1 vector of constants. is always less than or equal to one. Based on 17 definition, a value of one indicates a point on the frontier and hence the existence of a technically efficient farmer. The DEA model (2) has an intuitive interpretation. The problem takes the ith farmer and then seeks for the amount by which the input vector, xi, can be reduced and still attain the same output level.
II. Economic efficiency (EE) estimation
Assuming identical input prices, in order to investigate the economic efficiency or cost efficiency, the input orientated cost minimization DEA is specified as follows:
Where c is a scalar representing cost or budget level, and C is a row vector of observed costs. Intuitively, the problem takes the ith farmer and then seeks for the amounts by which the input cost, ci, can be reduced and remain on the production frontier.
III. Allocative efficiency (AE) estimation
Allocative efficiency can be estimated as the ratio of economic efficiency and technical efficiency as:
2.3.2. Double-bounded Tobit Model
The Tobit model is used to identify determinants of production inefficiency at farm household level. Inefficiency takes values between 0 and 1. The modeling requires limited dependent variable specification and hence double-bounded Tobit model is employed.
Thus, following 18, the study adopted the double-bounded Tobit model which specified as follows:
Where: i refers to the ith farm in the sample; Ui is efficiency scores representing technical, allocative and economic efficiencies of the ith farm. Ui* is the latent variable, βj are parameters of interest to be estimated and μi is random error term that is independently and normally distributed with mean zero and common variance δ 2 of (μi~N (0, δ2)). Zij are socioeconomic, institutional and demographic variables that are expected to affect efficiency scores.
3. Results and Discussion
3.1. Households Characteristics
The average age of the sample household heads was found to be 43.41 years with a standard deviation of 11.16. Of the total sample farmers, about 15% were aged 30 or less years and only about 5% were older than 64 years. The majority of the household heads (80%) were found in the range of 31 and 64 years of age. The average family size of the sample households was 5.16 persons, which is larger than the rural national average (5.04), the regional average (4.50), and comparable with zonal average of 4.19 persons per household respectively 19, 20. The household heads' education level (years), farming experience (years), labour supply (Adult equivalent) and dependency ratio have mean values of 4.05, 19.20, 3.27 and 0.76 respectively and there is significant difference among the districts as shown in Table 2.
Table 2. Descriptive Statistics of Household Characteristics between Districts (N=480)
Full Size Previous Table Next Table
Table 3. Descriptive Statistics of Major Wealth Indicator Variables (N=480)
3.2. Socio-economic Characteristics
Households in the study areas have average farmland size of about 1.14 hectare, which is comparable to the national average (1.14 ha) and smaller than the regional (1.21ha) and zonal average (1.40 ha) 19. Moreover, about 5.6% of sample farmers were landless and about 37.7% of the sample farmers owned land less than 1.00 ha. In terms of crop land cover, wheat was the first covering 33.3% followed by lentil (25.3%), faba bean (18.5%) and others (22.8%) of the total farm land cultivated (1.62ha) in 2015 main cropping season.
In the study areas, land holding, livestock holding and income from sales of crops and livestock are considered as key indicators of the wealth of the households among others. The Gini-coefficient showed low level of inequality among the sample households with respect to own farm land holding and livestock holding. However, there was a high level of inequality among farm households in other wealth indicators (Table 3).
Yield of selected crops was computed based on total grain output per unit of land for those who produce the crop and expressed in quintal (100 kg) per hectare of land (qt/ha). Hence, the average yields were 24.21, 15.52 and 11.24 qt/ha for wheat, faba bean and lentil, respectively. The average yield levels are slightly lower than the national average of 25.43, 18.93 and 13.89 qt/ha, in order, in 2015 main production season 19. Moreover, yield is by far below the research field/potential yield of 44-50, 30-40 and 17-25 qt/ha for wheat, faba bean and lentil, respectively. This implies that there is low level of yield and potential resource use inefficiency in the study areas.
Comparing across the three districts, households in Moretna Jiru district have the highest mean yield for wheat (32.41qt/ha) and faba bean (18.19 qt/ha) whereas households in Menz Gera Mdr district have the highest mean lentil yield (11.81qt/ha). There was a statistically significant difference in wheat and faba bean yield between districts, respectively. However, there was no significant difference in lentil yields between districts during 2015 main production season.
3.3. Descriptive Statistics of Data for Efficiency Measurement
3.3.1. Input-Output Measures
The size of land (both own, rented in and shared in) used for production of the three crops was measured in hectare and its cost was approximated by its rental value. The output of a given crop for a household was aggregated as the sum of all outputs obtained from different plots of that crop regardless of variety differences. Therefore, a household in the study areas produced on average 1329.93 kg of wheat, 435.70 kg of faba bean and 451.63 kg of lentil in 2015 main production season (Table 4).
Table 4. Descriptive Statistics of Input-Output Variables
Table 5. Distribution of Technical, Allocative and Economic Efficiencies (N=480)
3.3.2. Estimation of Efficiency Scores
The average technical efficiency level of production of these crops is 77% and ranges from 27% to 100% (Table 5). This indicates that if the average farmer in the sample was to achieve the technical efficiency level of its most efficient counterpart, then the average farmer could realize a 23% increase in output by improving technical efficiency with existing technology. Among the sample farmers, 119 were fully technically efficient farmers. The average allocative efficiency level was about 69% with six fully efficient farmers. This means that if the average farmer in the sample was to achieve the allocative efficiency level of its most efficient counterpart, then the average farmer could save 31% of their current cost of inputs by using the right inputs and outputs mix given input costs and output prices.
The average mean economic efficiency level of sample households was 53% and six farmers were fully efficient. This means that if the average farmer in the sample was to achieve the economic efficiency level of its most efficient counterpart, then the average farmer could experience 47% increase output by improving the technical and allocative efficiency with the existing technology.
3.4. DEA-Based Clustering Efficiency Scores
Based on variance difference from centroid values, five mutually exclusive clusters were formed using dendrograms through allocation of observations on the degree of belongingness and cut-off size. As shown in Table 6, there were considerable similarities within a cluster and differences between clusters. As indicated in Figure 2, the height of the vertical lines and the range of the (dis)similarity axis give visual clues about the strength of the clustering. Long vertical lines at the top of the dendrogram indicate that the groups represented are well separated from one another and vice versa.
Table 7 summarizes cluster group by efficiency scores and clusters distribution in the study districts. Using the average efficiency scores as comparison criteria, the five cluster groups were found to be significantly different from each other. Generally, G3 > G2 > G4 > G5 > G1 in efficiency performance.
Considering across the study areas, Moretna Jiru district performed better in selected crops production efficiency followed by Bassona Worena district. There was significant difference (p<1%) in efficiency scores among the districts.
One-sample mean comparisons show that on average smallholder farmers are not technically, allocatively and economically efficient (P < 1%), which means average level of efficiency scores are significantly different from unity. Hence, the result showed that there existed substantial inefficiency in the production of the selected crops in the study areas. The average levels of efficiencies of this study were comparable to those from other studies done in Ethiopia 3, 7, 21, 22, 23.
Table 6. Variance Decomposition for the Optimal Cluster Formation/ Classification
View previous figure
Figure 2. Dendrograms for hierarchical cluster analysis of efficiency scores (N=480)
Table 7. DEA-Based Clustering Efficiency Scores by Districts
Table 8. Descriptive Statistics of Variables Hypothesized to Influence Efficiencies (N=480)
3.5. Determinants of Efficiency of Selected Crops Production
The results obtained from DEA model showed the existence of substantial inefficiencies of selected crops production and that there are efficiency variations among farmers. In order to identify key determinants of the efficiency of technical, allocative and economic efficiency scores are separately regressed on selected variables using double bonded Tobit model 24. Table 8 presents descriptive statistics of variables that influence efficiencies in selected crops production.
Model diagnosis showed that normality assumption and multicollinearity were not a problem. However, there was some evidence of heteroscedasticity and hence all the estimation were done using robust standard error specifications 25.
Analysis of the determinants of efficiency differentials among farm households using a double bounded Tobit model indicates that education, participation in off/non-farm activities and livestock holding were positively and significantly affect technical efficiency whereas market and distances to all weather road have negative and significant effect on it. Credit access and extension contacts were found to be positively and significantly affecting allocative efficiency while age, off/non-farm activities, market, distances to all weather road and average farm plots distances have negative and significant effect on it. Education and livestock holding were found to be positive and significantly affecting economic efficiency whereas distances from market, all weather road and farm plots were found to be negatively and significantly affect economic efficiency (Table 9). Age of the household head has a negative and significant effect on AE of selected crops production at 10% level of significance. Though older farmers are expected to have greater access to productive resources, these farmers may be in a position to experience much with their traditional farming practices and usually risk averse than younger farmers. The same results were obtained in the studies of 26, 27.
Education of the household head has a positive and significant effect on TE and EE of selected crops production at 1% and 5% statistical levels. This suggests that better educated household heads can understand agricultural instructions easily, have higher tendency to adopt improved production technologies, have better access to information and be able to apply technical skills. Thus, a one-year increase in educational attainment level of the household head increases the probability and level of the expected value of TE and EE by about 1.2 and 1.0% with an overall increase in the probability and levels of efficiency by 0.9 and 0.6%, respectively. This result is in line with other studies like 7, 28, 29, 30.
Livestock holding has a positive and significant effect on TE and EE in selected crops production. Farmers who own large number of livestock were technically and economically more efficient than those who own less number of livestock. This is because livestock provides draught power, manure and is a source of income that can be used to purchase the necessary agricultural inputs. These results are in agreement with the findings of 7, 8, 9, 22.
Credit is an important element in agricultural production systems. Credit increases farmer's efficiency as it temporarily solves shortage of working capital. The study found positive and significant effect of rural credit on AE of farmers. Studies by 27, 29, 31 found similar results. Extension contacts also have a positive and statistically significant effect on allocative efficiency at 5% level of statistical error. These results are consistent with the findings of 7, 27, 31.
Market distance is another variable affecting TE, AE and EE significantly and negatively at 1% level of statistical error. An increase in market distance by one kilometer would decreases the probability and level of the expected value of TE, AE and EE by about 2.1, 0.9 and 2.4% with an overall decrease in the probability and levels of efficiencies by 1.7, 0.6 and 1.3%, respectively. Similar results were found in the works of 3, 21, 29.
Distance to all weather road is used as proxy for accessibility of transportation to markets. The study discovered that it has a negative and statistically significant effect at 1%, 5% and 10% levels of statistical error on TE, AE and EE, respectively. As the distance to all weather increases, it is expected that the transaction cost of acquiring inputs or time taking products to markets increases and hence undermines the incentive to produce. Similarly, farm distance also has a negative and statistically significant effect at 1% and 5% levels of statistical error to AE and EE scores.
Table 9. Tobit Regression Results on Technical, Allocative and Economic Efficiency of Selected Crops Production and Their Marginal Effects. (Dependent Variables: Technical, Allocative and Economic Efficiency) (N=480)
Full Size Previous Table
4. Conclusion and Recommendations
This study examined production efficiency levels and identified inefficiency factors for selected crops production by smallholder farmers in three districts of North Shewa zone, Amhara region. For this purpose, cross sectional data derived from a randomly selected sample of 480 smallholder farmers in the year 2015 production season was used.
DEA results showed that the mean technical, allocative and economic efficiencies were 77%, 69% and 53% respectively, indicating a substantial level of inefficiencies in the production of selected crops. Analysis of determinants of efficiency using Tobit model indicates that though aged farmers have accumulated resources they tend to be less responsive to innovations and changes, whereas, younger farmers do and are more efficient. The level of education of the household head, livestock holding, credit and extension contact emerge as an important factors in enhancing efficiencies of selected crops production. The study also revealed that distances from market, all weather road and farm plots significantly decrease all efficiency scores.
Hence due attention should be given to improve the productivity of livestock through the provision of improved breed, better health service, improved feed and other necessary supports. Government should give due attention on provision of basic education so that farmers can understand agricultural instructions easily and have better access to product information and use the available resources more competently. Strategies should emphasize on strengthening the existing agricultural extension service through provision of on job training, upgrading the educational level, non-overlapping and consistent responsibilities of extension workers are supreme for improving farming technique with technological innovations in the study area. Moreover, expansion of infrastructures and credit services should take in to consideration.
We express our gratitude to Building Ethiopian's Research Capacity in Economics and Agribusiness (BERCEA) from the Global Development Network (GDN); and International Center for Agricultural Research in the Dry Areas-Austrian Development Agency (ICARDA-ADA) Projects for financial support. We thankful to Debre Birhan Agricultural Research Center (DBARC) for its logistical support. We also gratified farmers in the study area for their collaboration in interviews and participation in focus group discussions.
1. It is the lowest administrative unit in the country.
[1] CBE (Commercial Bank of Ethiopia), "Annual Report 2015/16," National Bank of Ethiopia, Addis Ababa, Ethiopia, 2016.
In article
[2] Conradie, B., Piesse, J., Thirle, C., "District Level Total Factor Productivity in Agriculture: Western Cape Province, South Africa, 1952-2002," Agricultural Economics, 40(3): 265-280, 2009.
In article  View Article
[3] Essa C. Mussa, Gideon A. Obare, Ayalneh Bogale and Franklin P. Simtowe, "Analysis of Resource Use Efficiency in Smallholder Mixed Crop-Livestock Agricultural Systems: Empirical Evidence from the Central Highlands of Ethiopia," Developing Country Studies, 2(9), 2012.
[4] Admassie A. and Heidhues, F., "Estimation of Technical Efficiency of Smallholder Farmers in Central Highlands of Ethiopia," Ethiopian Journal of Agricultural Economics, 1(1):19-35, 1996.
[5] Kassie Menale and Holden, S., "Sharecropping Efficiency in Ethiopia: Threats of Eviction and Kinship," Agricultural Economics, 37:179-188, 2007.
[6] Khairo, S.A., Battese, G.E., "A Study of Technical Inefficiencies of Maize Farmers within and outside the New Agricultural Extension Program in the Harari Region of Ethiopia," South African Journal of Agricultural Extension, 34(1): 136-150, 2004.
[7] Sisay Debebe, Jema Haji, Degye Goshu and Abdi-Khalil Edriss, "Technical, Allocative, and Economic Efficiency among Smallholder Maize Farmers in Southwestern Ethiopia: Parametric Approach," Journal of Development and Agricultural Economics, 7(8): 282-291, 2015.
[8] Solomon Bizuayehu, Economic Efficiency of Wheat Seed Production: The Case of Smallholders in Womberma Woreda of West Gojjam Zone. MSc Thesis. Haramaya University, Haramaya, Ethiopia, 2012.
[9] Tesfay, G., Ruben, R., Pender, J. and Kuyvenhoven, A., "Resource Use Efficiency on Own and Sharecropped Plots in Northern Ethiopia: Determinants and Implications for Sustainability," 2005.
[10] Tolesa Alemu, Bezabih Emana, Jema Haji, and Belaineh Legesse, "Smallholder Wheat Production Efficiency in Selected Agro-Ecological Zones of Ethiopia: A Parametric Approach," Journal of Economics and Sustainable Development, 5(3): 155-163, 2014.
[11] ANRS BoFED (Amhara National Region State Bureau of Finance and Economic Development), Annual statistical bulletin, Bahir Dar, Ethiopia, 2010.
[12] Kothari, C. R., "Research Methodology: Methods and Techniques," 2nd Edition. New Age International, New Delhi, India, 2004.
[13] Israel, Glenn D., "Sampling the Evidence of Extension Program Impact. Program Evaluation and Organizational Development," IFAS, University of Florida, PEOD-5, 1992.
[14] Charnes, A., W. Cooper, and E. Rhodes, "Measuring the Efficiency of Decision Making Units," European Journal of Operational Research, 2: 429-444, 1978.
[15] Coelli, T.J., Prasada Rao, D.S., O'donnell, C.J., and Battese, G.E., "An Introduction to Efficiency and Productivity Analysis," Springer Science, + Business Media Inc., 2005.
[16] Coelli, T.J., "A Guide to DEAP version 2.1: A Data Envelopment Analysis (computer) Program," CEPA working paper No. 8/96. Center for Efficiency and Productivity Analysis, University of New England, 1996.
[17] Farrell, M. J., "The Measurement of Productive Efficiency," Journal of Royal Statistical Society, 120: 253-290, 1957.
[18] Coelli, T. J, Sandura, R., and Colin, T., "Technical, Allocative, Cost and Scale in Bangladesh Rice Production: A Nonparametric Approach," Journal of Agricultural Economics, 53: 607-626. 2002.
[19] CSA (Central Statistical Agency), "Agricultural Sample Survey," Vol 1. Report on Area and Production of Major Crops by Private Peasant Holdings, Meher Season. Statistical Bulletin 578. CSA, Addis Ababa, Ethiopia, 2015.
[20] EDHS (Ethiopia Demographic and Health Survey), "Ethiopia Demographic and Health Survey 2015," Addis Ababa, Ethiopia, 2016.
[21] Alelign Ademe. Crop Productivity, Efficiency and Commercialization of Smallholder Farmers in the Highlands of Eastern Ethiopia. PhD Dissertation. Haramaya University, Haramaya, Ethiopia, 2016.
[22] Hassen Beshir, Bezabih Emana, Belay Kassa and Jema Haji, "Economic Efficiency of Mixed Crop-Livestock Production System in the Northeastern Highlands of Ethiopia: The Stochastic Frontier Approach," Journal of Agricultural Economics and Development, 1(1): 10-20. 2012.
[23] Endrias Geta, Belay Kassa, Ayalneh Bogale, Eyasu Elias, "Productivity and Efficiency Analysis of Smallholder Maize Producers in Southern Ethiopia" Journal of Human Ecology, 41(1):67-75, 2010.
[24] Tobin, "Estimation of Relationships for Limited Dependent Variables," Econometrica, 26: 24-36, 1958.
[25] White H., "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, 48 (4): 817-838, 1980.
[26] Betty, K., Technical Efficiency in Kenyan's Maize Production: An Application of the Stochastic Frontier Approach. M.Sc. Thesis, Colorado State University, Colorado, 2005.
[27] Jema H. and Hans A., "Determinants of Efficiency of Vegetable Production in Smallholder Farms: The Case of Ethiopia," Food Economics-Acta Agricult Scand C, 3: 125-137, 2006.
[28] Aye, G.C. and Mungatana, E.D., "Technological Innovation and Efficiency in the Nigerian Maize Sector: Parametric Stochastic and Non-Parametric Distance Function Approaches," Agrekon: Agricultural Economics Research, 50(4): 1-24, 2011.
[29] Musa Hasen, Economic efficiency of smallholder farmers in maize production: The case of Arsi Negelle District, Oromia National Regional State, Ethiopia. MSc Thesis. Haramaya University, Haramaya, Ethiopia, 2013.
[30] Shumet A. 2011. Analysis of Technical Efficiency of Crop Producing Smallholder Farmers in Tigray, Ethiopia. MPRA Paper No. 40461, 2011. [Online]. Available: http://mpra.ub.uni-uenchen.de/40461/. [Accessed Sept. 16, 2016].
[31] Mekdes Abera, Analysis of Technical Efficiency of Lentil (Lens Culinaris Medikus) Production: The Case of Gimbichu District, Eastern Shewa Zone of Oromia, Ethiopia. MSc Thesis. Haramaya University, Haramaya, Ethiopia, 2011.
Published with license by Science and Education Publishing, Copyright © 2018 Beneberu Teferra, Belaineh Legesse, Jema Haji and Girma T. Kassie
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Beneberu Teferra, Belaineh Legesse, Jema Haji, Girma T. Kassie. Farm Level Efficiency of Crop Production in the Central Highlands of Ethiopia. American Journal of Rural Development. Vol. 6, No. 2, 2018, pp 49-58. http://pubs.sciepub.com/ajrd/6/2/4
Teferra, Beneberu, et al. "Farm Level Efficiency of Crop Production in the Central Highlands of Ethiopia." American Journal of Rural Development 6.2 (2018): 49-58.
Teferra, B. , Legesse, B. , Haji, J. , & Kassie, G. T. (2018). Farm Level Efficiency of Crop Production in the Central Highlands of Ethiopia. American Journal of Rural Development, 6(2), 49-58.
Teferra, Beneberu, Belaineh Legesse, Jema Haji, and Girma T. Kassie. "Farm Level Efficiency of Crop Production in the Central Highlands of Ethiopia." American Journal of Rural Development 6, no. 2 (2018): 49-58.
Like this article()
View in article
Full Size Figure
Conference & Cooperation


Have you ever wondered how you can use machine learning in your work? It would be easy to assume that this type of advanced technology isn't available to you because of simple logistics or complexities. The truth is, machine learning is more accessible than ever before – and even easy-to-use. Microsoft Azure Cloud Architect Beth Zeranski explains.
Together, Microsoft and MicroStrategy can help users create powerful, cloud-based machine learning applications through self-service analytics. MicroStrategy Desktop™, combined with Microsoft Azure ML, uses a drag-n-drop interface so users can efficiently plan, create and glean insights from a predictive dashboard.
April 18-20 at MicroStrategy World in Washington, DC, Microsoft will use a hands-on workshop to demonstrate how users can go from nothing to a fully-functional predictive data visualization built on machine learning within an hour. The three tools we'll use are Microsoft R Open, Azure Machine Learning, and MicroStrategy 10 Desktop.
We invite you to attend the session and see it in action first-hand. If you can't make the trip to MicroStrategy World, check out our step-by-step guide that we'll review with the audience.
Sound like an easy way to begin using Machine Learning in your work? Here's some more information on the three tools you need to get up and running in an hour.
Microsoft R Open, formerly known as Revolution R Open (RRO), is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. The current version, Microsoft R Open 3.3.2, is based on (and 100% compatible with) R-3.3.2, the most widely used statistics software in the world, and is therefore fully compatible with all packages, scripts, and applications that work with that version of R. It includes additional capabilities for improved performance, reproducibility, as well as support for Windows and Linux-based platforms.
Data can hold secrets, especially if you have lots of it. With lots of data about something, you can examine that data in intelligent ways to find patterns. And those patterns, which are typically too complex for you to detect yourself, can tell you how to solve a problem.
This is exactly what machine learning does: It examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications. Azure Machine Learning enables you to build powerful, cloud-based machine learning applications.
Enterprise organizations use MicroStrategy Desktop to answer some of their most difficult business questions.
Available for Mac and PC, MicroStrategy Desktop is a powerful data discovery tool that allows users to access data on their own and build dashboards. With MicroStrategy Desktop, users can access over 70 data sources, from personal spreadsheets to relational databases and big data sources like Hadoop. With the ability to prepare, blend, and profile datasets with built-in data wrangling, users can go from data to dashboards in minutes on a single interface. MicroStrategy Desktop allows departmental users to visualize information with hundreds of chart and graph options, empowering them to make decisions on their own.
Come join us at MicroStrategy World or try the workshop out for yourself.
This post was originally published on the Microsoft Azure Blog.


cutflowers, foliage plants, flowering ornamentals etc. Following are some examples.
Evaluation of cultural practices such as water level for growing of Cryptocorina Sp.
• Ascertain the most suitable growth media for Osbeckia octandra.
• Evaluation of the combined effects of fertilizer application patterns in different media for Licuala rumphii.
• Fertilizer application patterns have also been evaluated for Dracaena sanderiana, D.reflexa and Aglaonema Sp.


This is a compelling book that takes a reader by the collar and leads them into some dark places. Yet it is not an easy work to review, because so tightly woven that pulling on a single thread threatens to dismantle the intricate stitching of the plot, or introduce spoilers that will decimate the tensions.
Superficially it follows a simple time weave between Now and Then which alternate until they become a single psychological whole. Antony Ashurst, the principal character, is with very good reasons, a distracted damaged (and emotionally very young) wanderer, who falls down an open manhole and seems lost to view and to reason. 'The Bet' was the leaving of that mantrap open and shepherding him towards it. How he will climb again to the light is uncertain, indeed perilous.
Yet that is far from the book's whole substance, merely the means whereby to examine much larger issues about our world of exploitation, manipulation and acquisition. (And superficiality; he is too good looking for his own good) What is insanity when the innocence of a young man can provide the vulnerable core that almost all see as an opportunity for gain? His innocence is the mirror in which guilt and punishment, justification and complacency are reflected. Like a crystal that provides a different facet to engage each who encounters him, he is so self-effacing he is unconscious of why that happens. Clarity lies in seeking nothing for himself, but without any carapace to protect that clarity. This is a book about sight, deep in some, superficial in others.
Behind that are deeper issues of destiny and self worth: seeking the light finds help, just as the darkness does. The characters that manifest light (and they are there) arrive when he is liberated to receive them, the dark had found him with savage intent. As a reader one cares deeply about his integrated survival, and that's as far as I can go without spoiling it for a reader.
The work's disquiet remains after the book is closed, and that's usually the sign of a unique vision.
I am sure Viv will be happy with your 'share' Paul. Thanks for leaving your footprint here too.
Thanks for an excellent review. 'The Bet' is next on my TBR list, and I've taken the liberty of sharing a link to this review on FB (hope that's OK).


Manchester City will play against Tottenham Hotspur on 2019-04-17, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Manchester City and Tottenham Hotspur, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Porto will play against Liverpool on 2019-04-17, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Porto and Liverpool, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Barcelona will play against Manchester United on 2019-04-16, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Barcelona and Manchester United, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Juventus will play against Ajax on 2019-04-16, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Juventus and Ajax, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Manchester United will play against Barcelona on 2019-04-10, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Manchester United and Barcelona, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Ajax will play against Juventus on 2019-04-10, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Ajax and Juventus, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Tottenham Hotspur will play against Manchester City on 2019-04-09, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Tottenham Hotspur and Manchester City, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Liverpool will play against Porto on 2019-04-09, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Liverpool and Porto, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Bayern München will play against Liverpool on 2019-03-13, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Bayern München and Liverpool, get an overview over what happened in previous meetings, each team's form and what could happen in this game.
Barcelona will play against Olympique Lyonnais on 2019-03-13, in a UEFA Champions League meetup. It is interesting to see the latest head-to-head stats between Barcelona and Olympique Lyonnais, get an overview over what happened in previous meetings, each team's form and what could happen in this game.


That is a popular quote in addiction recovery, and it is the reason groups like Alcoholics Anonymous (AA) and Narcotics Anonymous (NA) were formed. Recovery from substance abuse can be lasting when you are supported by those who understand your struggle with addiction.
Alcoholics Anonymous meetings and Narcotics Anonymous meetings can help you enter treatment for substance abuse. They can also help you work through recovery and maintain sobriety. AA and NA meetings in Longmont are a fellowship of like-minded people, all working toward achieving and maintaining a life free of addiction.
Many people attend their first AA or NA meeting as part of a treatment program in an alcohol and drug rehab in Longmont. However, you can also find many standalone locations for meetings throughout the area.
Alcoholics Anonymous meetings are open to anyone battling alcohol addiction. AA meetings in Longmont are spiritually based and focus on a set of principles referred to as the 12-steps. These 12 principles help participants release their reliance on alcohol to lead healthier and happier lives.
If you need support stepping into recovery, AA meetings in Longmont can help you take that first step. Likewise, if you are currently in rehabilitation or have completed treatment, participation in Longmont AA meetings strengthens your commitment to sobriety. Surrounded by your peers, Alcoholics Anonymous meetings offer support and compassion for anyone struggling with alcohol addiction.
All Longmont AA meetings are similar, but they may differ in several ways. For instance, depending upon the group leader and participants, the mood and topics discussed will vary. Also, some meetings are more beneficial for people just entering treatment, while others are suitable for those who are currently in or have completed rehabilitation. You may need to attend several different AA meetings in Longmont to find one that suits your individual needs.
Where is the meeting held? You will find AA meetings held in churches, rehabilitation centers, and homes. You may feel more comfortable in one setting as opposed to another.
Is smoking permitted? Some groups may permit smoking.
Is the group co-ed? Some meetings may be all male or all female.
Who leads the group? Meetings are led by a counselor or group leader, and the leader affects the tone of the meeting and the topics discussed.
How large is the group? The group size can affect how comfortable you are with sharing.
Is the meeting for alcoholics only or can anyone attend? Some AA meetings in Longmont may be open to alcoholics and others.
Narcotics Anonymous is the second largest 12-step organization and was founded in 1953. Similar to AA meetings, participation in NA meetings are free and open to anyone battling an addiction to narcotics (e.g. opioids, heroin, etc.). The only requirement for participation in Longmont AA meetings is your desire to beat your addiction to drugs.
NA meetings in Longmont focus on the benefits of practicing honesty, open-mindedness, and the willingness to change. Narcotics Anonymous meetings use the AA 12-step principles to help you turn away from addiction and start a new life. Participation in Longmont NA meetings is helpful if you need help entering treatment, and they offer ongoing support during and after recovery. Longmont NA meetings are held weekly and can strengthen your commitment to a life free of substance abuse.
You can find a list of NA meetings in Longmont by zip code on the Narcotics Anonymous website. You may also search online for "NA meetings near me". After choosing a few meeting locations in your area, you will want to attend several to find one that offers the type of support you need.
The Recovery Village can also assist you in finding Longmont AA and NA meetings, as well as addiction recovery programs. We believe group support is key to ongoing sobriety, and 12-step support is included in all levels of care. We can help you or any of your loved ones who are battling substance abuse.
When dealing with addiction, it can hard to break old patterns. Twelve-step group support can keep you on the path to sobriety. Call The Recovery Village for information about treatment programs and AA and NA meetings in Longmont. We can help you find your way out of addiction and into a life of health and happiness.


text:
Institutions 1-17 of 17 Whose Category is Hispanic-Serving Institution, Institution Type is 4 Year and STEM Degree is Neurobiology and Neurosciences Sorted By Name in Ascending Order
Predominantly Black Institutions
Doctoral Universities: High Research Activity
Doctoral/Professional Universities
Master's Colleges & Universities: Medium Programs
Master's Colleges & Universities: Small Programs
ABET Accreditation
New England Commission of Higher Education
Science Technologies/Technicians, General
Systems Science and Theory
College of Staten Island CUNY
Web Address http://www.csi.cuny.edu(Opens in New Window; Non-NASA Link)
CUNY Queens College
Web Address https://www.qc.cuny.edu(Opens in New Window; Non-NASA Link)
River Forest, IL
Web Address http://www.dom.edu/(Opens in New Window; Non-NASA Link)
Web Address http://www.fau.edu/(Opens in New Window; Non-NASA Link)
Inter American University of Puerto Rico-Metro
Web Address http://www.metro.inter.edu/(Opens in New Window; Non-NASA Link)
La Sierra University
Web Address https://lasierra.edu(Opens in New Window; Non-NASA Link)
Web Address http://www.nova.edu(Opens in New Window; Non-NASA Link)
Rutgers University-Newark
Web Address https://www.newark.rutgers.edu(Opens in New Window; Non-NASA Link)
Saint Edward's University
Web Address https://www.stedwards.edu(Opens in New Window; Non-NASA Link)
Web Address http://www.utsa.edu/(Opens in New Window; Non-NASA Link)
Capability Statement 1
Universidad Central de Bayamon
Bayam, PR
Web Address http://www.ucb.edu.pr(Opens in New Window; Non-NASA Link)
University of California-Irvine
Web Address http://www.uci.edu/(Opens in New Window; Non-NASA Link)
University of California-Santa Barbara
Web Address http://www.ucsb.edu(Opens in New Window; Non-NASA Link)
University of California-Santa Cruz
Web Address http://www.ucsc.edu/(Opens in New Window; Non-NASA Link)
University of Connecticut-Stamford
Web Address http://uconn.edu/(Opens in New Window; Non-NASA Link)


Dhaka, Jan 20 (IBNS): Another key suspect in the 2016 Dhaka cafe attack has been arrested by Bangladesh security forces on Saturday, media reports said on Sunday.
The arrested person was identified as Md Mammunur Rashid alias Ripon alias Rezaul Karim alias Reza.
A local court on Sunday send the Jamaat-ul-Mujahideen Bangladesh (JMB) member to five-day remand.
Earlier on Saturday night, Rab men arrested Md Mammunur Rashid alias Ripon alias Rezaul Karim alias Reza, a surah member of banned militant outfit JMB and also the supplier of money and arms to the cafe attackers, reported The Independent.
Acting on a tip-off, a team of the elite force conducted a drive in Boardbazar area and arrested the JMB member along with Tk 1.5lakh, Rab sources told the newspaper.
In 2016, Bangladesh witnessed a massive terrorist attack when militants attacked a cafe at Gulshan area in Dhaka and killed at least 20 people.
The attack had left the entire Muslim majority nation and even people across the globe shocked.
The Bangladesh Police in 2018 filed charge sheet against eight terrorists in connection with the 2016 Dhaka cafe attack.