text:
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Zinc Oxide 11%. Inactive Ingredients: beeswax, olea europaea (olive) fruit oil, theobroma cacao (cocoa) seed butter, simmondsia chinensis (jojoba) seed oil, isoamyl laurate, butrospermum parkii (shea) butter, flavor, limnanthes alba (meadowfoam) seed oil, citrus aurantium dulcis (orange) peel wax, jojoba esters, glycine soja (soybean) oil, tocopherol, citric acid, rebaudioside A, polyhydroxystearic acid.
Rated 5 out of 5 by Kiley from Best spf for the lips I use this when surfing. It stays on like a zinc would but feels and smells like a normal lip balm giving me sun protection I actually don't mind using. It does make your lips a little pale though so not the best day to day option.


Hey everyone! If you've been following YouTube or Facebook Page, you'll know I finally caught up with all of my "GO SOLO WITH ME" series. *yay!* I'm so happy it is finally done, and now I could edit my Ipoh trip, Singapore trip and Bangkok trip. HAHAHA.
The view was amazing, and worth the long way up haha. See how it went here.
Personal favorite includes: 7-11 meals, Khao Soi, Thai tea, mango sticky rice and Thailand's McDonald. haha!
9. My stay at i-Wualai hotel.
Good day y'all! Happy weekend! I just came back from Bangkok (follow me on IG @minniechangg) so it's been a little quiet here but no worries, I'm back to make more content :) Today's will be an honest review on The Plant Base's Nature Solution Hydrating Bamboo Water and Skin Essence.
"I LOVE THE SCENT! The light lemongrass scent makes the whole skincare routine much more enjoyable. Plus, I find it intriguing as this is a double-layered shaking toner that combines bamboo water & aragan oil. Definitely not the kind that dries out your skin, instead locks in moisture, leaving a light dewy finish."
"I've been educated that one of the reason for oily/dry skin is that there is not enough oil in it. I know a lot tried to blot away the oil but that may just cause more problems. The best way is to balance it out. One pump of this is enough for my whole face and neck! It does leave a tacky finish at first but slowly, it'll dry out leaving a thin layer to protect the serums I put on beforehand."


text:
Thinking Nutrition is all about presenting the latest nutrition research in plain language and then translating this into what it means for your health. Dr Tim Crowe is a career nutrition research scientist and an Advanced Accredited Practising Dietitian. Tim has over 25 years of research and teaching experience in the university and public health sectors, covering areas of basic laboratory research, clinical nutrition trials and public health nutrition. He now works chiefly as a freelance health and medical writer and science communicator.
Thinking Nutrition Dr Tim Crowe
Is a keto diet effective for strength training?
Ketogenic diets have gained popularity in recent years among athletes. While these diets are just as effective for weight loss as any other diet that causes a calorie deficit, the evidence for a real sporting advantage over other diets is very mixed and it seems only in steady-state endurance sport that they may have some role. But what about in the gym? Is keto a viable option to both shred and bulk up at the same time? That's what I explore in this podcast by looking at the findings of a recent review paper on this very topic.
Links referred to in the podcast
Review of keto diet and effects on resistance training https://pubmed.ncbi.nlm.nih.gov/34578961Episode transcript
To access the full episode transcript, go to the following link and select the individual podcast episode and then click on the 'Transcript' tab https://thinkingnutrition.buzzsprout.com
Instagram: doctimcrowe
Facebook: Thinking Nutrition
Twitter: CroweTim
Alcohol facts and fallacies
Can you cure a hangover? Do drinks with bubbles get you drunk quicker? Are darker drinks worse for you than clear drinks? Is there really such a thing as a beer gut? These questions and more are what I'll be tackling in my annual Christmas special podcast on all things alcohol facts and fallacies.
Systematic review of hangover cures https://www.bmj.com/content/331/7531/1515Beer belly research https://pubmed.ncbi.nlm.nih.gov/19550430Episode transcript
Can curcumin help with PCOS?
Curcumin is the bioactive ingredient found in the popular spice turmeric. Medical science is backing up many of the traditional health claims made about turmeric and the compounds it contains. Conditions such as arthritis, high cholesterol, exercise recovery and even depression all have a growing positive evidence base of research behind them. Now a new research review has looked at the evidence for curcumin supplementation in treating some of the symptoms of PCOS. In this podcast, I give an overview of the use of curcumin in different conditions and explain how it may be effective in PCOS too.
Systematic review of curcumin supplementation for PCOS https://pubmed.ncbi.nlm.nih.gov/34517426Episode transcript
Small intestinal bacterial overgrowth (SIBO): symptoms, causes and treatment
Small intestinal bacterial overgrowth (SIBO) is a condition where there is an abnormal increase in the number of bacteria in the small intestine – especially types of bacteria not normally found in this part of the digestive tract. Most of the focus on gut health is given to the population of bacteria in our large intestine, so in this podcast, I'll look at the consequences of what happens when bacterial growth gets out of control in our small intestine.
Herbal treatments in SIBO https://pubmed.ncbi.nlm.nih.gov/24891990Elemental diet in SIBO https://pubmed.ncbi.nlm.nih.gov/14992438Episode transcript
Why bitter foods are better for you
Many of us describe ourselves as having a sweet tooth. But science is now unlocking the secrets of why having a well-developed taste and tolerance to bitter foods could have a wealth of health benefits. But even with their many health benefits, the bitterness of foods such as broccoli, spinach and turnip can put people off. Now new research finds that the taste perception of bitter foods can change the more they are eaten.
Bitter taste and salivary proteins adaptationhttps://pubmed.ncbi.nlm.nih.gov/31053859Episode transcript
Cutting back on sugar? Here's why fruit should stay on the menu
With all the recent health focus on sugar, poor old fruit has gotten undeserved attention for the simple reason that it is high in sugar. And from that, some very average advice has surfaced that people need to limit how much whole fruit they eat. Now a systematic review puts to bed any health concerns anyone should have about fruit, finding that whole fresh fruit does not contribute to weight gain. Eat up.
Systematic review of the Impact of whole fresh fruit on energy intake and body weight https://www.frontiersin.org/articles/10.3389/fnut.2019.00066/fullFrozen fruit and veg increases consumption https://pubmed.ncbi.nlm.nih.gov/29290348Episode transcript
© 2022 Thinking Nutrition
RochiTP , 21/11/2021
Best nutrition podcast ever
Clear, concise information and really interesting topics. Super entertaining too! Simple, scientific evidence of what's actually true when it comes to nutrition. Highly recommend.
The business sceptic , 26/11/2021
"Why we get sick" by Prof Ben Bikman is a book Dr Tim needs to read then review on this podcast
Unfortunately Dr Tim is not up to date with the latest scientific publications in the low carb and fasting science. The Rest of his podcast content is good
Dr John Stewart BVSc MRCVS
Animal and Human Nutrition Scientist
Handmade007 , 23/10/2021
Quick bites of evidence
Great podcast, quick, to the point, excellent range of topics great listening thanks so much.
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redpajama_set_name: RedPajamaCommonCrawl


text:
Discovery of India
On her maiden visit to the city,she found an interesting intellectual appeal among the people of the City of Joy.
On her maiden trip to Kolkata,Claire Fox was bowled over by the spirit and smell of old books at the stalls of College Street,says Mohana Dam
On her maiden visit to the city,she found an interesting intellectual appeal among the people of the City of Joy. Her reminiscences of Kolkata extend only till the images and stories she built in her mind while being told about the history of British rule in the state.
On her maiden trip to the country,Claire Fox,the director of the Institute of Ideas (UK) which she established to create where ideas can be contested without constraint,recalls the most exciting experience that she had on this trip.
Fox started the institute while being the co-publisher of the controversial and ground breaking current affairs journal LM magazine in UK. A panelist on BBC Radio 4's The Moral Maze,Fox was heavily involved in politics while being a part of the Revolutionary Communist Party in Ireland.
She was in Kolkata recently to promote Debating Matters,a unique school-level debate competition based on extensive research and grilling. Through her interactions with students of the city schools,Fox claimed that she uncovered an immense enthusiasm that the young minds of the city have.
"There is so much of political and social awareness among the young ones. They have a plenty to speak about and opine which is so marvelous," said Fox.
Walking down the streets of Kolkata,Fox could visualise the difference between all the other major metro cities that she visited for the first time,especially Delhi,and compare in her mind the inherent distinction that she believes defines Kolkata.
According to the Britisher,every nook and corner of the city represents humanity because of the people around and the coziness that Kolkata beholds. However,Fox was quick to point out that her feeling of satisfaction got affected every time she saw poverty-stricken people and felt their pain.
What caught the visitor's interest the most was the major architectural heritage that the city has,which is predominantly the ancient British structural designs. According to Fox,the most fascinating experience of all had been the visit to the National Library,where she learnt how a British administrative building could be transformed and used for public purposes for the people of a completely different nationality.
"These buildings that once were created for the British when they were ruling India and which gave priority to the people of one particular nationality,now showcase a library and other important administrative and public buildings for the benefit of the people of Kolkata," said Fox.
On return to her country,the memory that she will be carrying with her about Kolkata is the journey that she had while walking through College Street. Fox remembers how in UK there are massive bookstores with posh décor but somehow lacking the spirit and smell of old books that stalls and ambience at College Street has.
"When I visited College Street,I saw how Kolkatans are drawn to books and spend hours rummaging through the pages of old and a variety of books. Again,when I visited a pub here,which is another side of young India,I was taken by an Indian and it felt good as I got reminded of the times when the British had written Dogs and Indians Not Allowed," said
Claire.
1Batagur baska: The Sundarbans may be the last hope for these critically endangered river turtles
2West Bengal: TMC to seek Jagdeep Dhankhar's removal, roll back of IAS cadre rule in Parliament
3Sandhya Mukhopadhyay tests Covid +ve, in hospital
More from Kolkata
With all her experiences that will help her weave her memoirs,this Britisher takes back with her tales of a New India which is much more dynamic and fresh compared to UK,although it has plenty of challenges that it simultaneously has to deal with.
For all the latest Kolkata News, download Indian Express App.


text:
Biografia
Figlia di un noto antiquario torinese, si appassiona alla musica sin da ragazzina, mentre frequenta il liceo artistico e aiuta nel tempo libero il padre nella sua attività. Il negozio di famiglia si trova in via Verdi, di fronte alla sede della Rai, da cui, avendola notata per la bella presenza, arriva la proposta di partecipare come comparsa e figurante a programmi lì realizzati. Da questo primo contatto col mondo dello spettacolo incomincia per Vanna la carriera di fotomodella, che la porta spesso a lavorare a Milano, dove partecipa anche come attrice ad alcuni fotoromanzi e a spot pubblicitari.

La sua passione però è la musica: dotata di una voce esile ma gradevole, incomincia a esibirsi nella sua città e a Milano. Durante l'estate del 1963, si esibisce anche alla Bussola di Viareggio. Qui viene notata da Bruno Martino, che le procura un provino discografico presso La Voce del Padrone, etichetta che la mette sotto contratto: nel 1964 la fa esordire con il primo 45 giri Come mio padre/Sulla spiaggia non si può, con due brani scritti da Mogol e Pino Massara, a cui segue il secondo E ora te ne vai, scritto da Giorgio e Paolo Conte.

Nel 1965 Mike Bongiorno la convoca come valletta per il suo programma La fiera dei sogni: questo impegno televisivo rallenta la sua attività di cantante; nelle cronache rosa appaiono numerosi articoli riguardo al suo flirt con il presentatore. Nello stesso anno esordisce come attrice cinematografica in Viale della canzone, pellicola diretta da Tullio Piacentini. È tra i cantanti scelti da Giorgio Gaber per le sei puntate del programma televisivo di Rai2 Le nostre serate (dicembre 1965 - gennaio 1966).

Torna a incidere nel 1967 per la GTA records (etichetta legata al Clan Celentano), due brani con le parole scritte da Alberto Testa e le musiche di Gianni Boncompagni (Con la faccia all'ingiù) e Rinaldo Cozzoli (Un po' di malinconia): questi due brani fanno parte della colonna sonora del film Cupido 7. In questo periodo le riviste di gossip si occupano nuovamente di lei per la sua storia d'amore con Renzo Arbore. Nel 1968 passa alla Miura, per cui pubblica Non sei bello ma sei simpatico/L'amore è dappertutto, prodotto da Alberto Testa, con arrangiamenti in stile anni Trenta e liriche scritte dallo stesso Testa. Per la Variety nel 1969 incide Il primo giorno di primavera, che però ottiene molto più successo nella versione dei Dik Dik. L'anno successivo è la volta di Le mele verdi, cover di Little Green Apples di Bobby Russell. Passa poi alla Rare, etichetta francese di proprietà della Barclay, con cui pubblica altri due 45 giri.

Negli anni settanta si dedica anche all'attività di presentatrice televisiva: dopo avere affiancato Raffaele Pisu nel varietà Come quando fuori piove, ottiene popolarità conducendo insieme a Nino Fuscagni il programma della Rai Adesso musica dal 1972 al 1976.
Non abbandona comunque l'attività di cantante, continuando a incidere vari 45 giri. Il 1975 è l'anno della collaborazione con Enzo Jannacci, che scrive per lei le due canzoni del singolo Una vita difficile/Una lettera. Nei primi anni ottanta conduce in radio Canzoni per tutti, programma d'intrattenimento musicale che prima di allora non comprendeva un commento in voce ai brani presentati. Di questo periodo è anche un singolo cantato in coppia con Augusto Martelli, intitolato Colpa di un disco.
Nel 1983 conduce la prima edizione di Napoli prima e dopo, mentre per la stagione 1984/1985 viene scelta da Aldo Biscardi come valletta per Il Processo del Lunedì, in onda su Rai 3.

L'impegno con lo sport prosegue per tutti gli anni ottanta nella trasmissione Domenica Gol e, durante i Mondiali di calcio, con i programmi 90º Mondiali (1990) e Processo ai Mondiali del 1994. A metà degli anni novanta, conduce anche rubriche sportive quotidiane come Sport Sera, della Testata Giornalistica Sportiva della Rai. Nel 1998 la Giallo Records pubblica, in un CD antologico, 4 canzoni di quando cantava per la Variety, tra cui La nostra storia finisce qui, un inedito del 1969 scritto da Claudio Daiano. Muore nel giugno del 2010 a Torino dopo una lunga malattia. Il suo funerale viene celebrato il 21 giugno nella chiesa di San Francesco a Piossasco, piccolo centro del Torinese dove, a partire dalla metà degli anni novanta, Vanna si era ritirata a vita privata nella casa dell'anziana madre.

Vita privata
Negli anni sessanta, dopo un flirt con Mike Bongiorno, ha avuto una lunga relazione con Renzo Arbore. Per la canzone Innocenti evasioni di Lucio Battisti, Mogol trasse ispirazione da un episodio di quest'ultima storia.

Discografia

Singoli
1964 – Come mio padre/Sulla spiaggia non si può (La Voce del Padrone, mq 1884)
1964 – Non rispondo di me/Ed ora te ne vai (La Voce del Padrone, mq 1925)
1967 – Con la faccia all'ingiù/Un po' di malinconia (GTA Records, PON NP 40060)
1968 – Non sei bello ma sei simpatico/L'amore è dappertutto (Miura, PON NP 40077)
1969 – Il primo giorno di primavera/Il vento suonava l'arpa (Variety, FNP-NP 10123)
1970 – Le mele verdi/Proibito ricordare (Variety, FNP-NP 10143)
1971 – Te lo dirò in confidenza/Veleno (Rare, RAR NP 77565)
1972 – Oggi, domani, sempre/L'amore è un'invenzione (Rare, RAR NP 77578)
1973 – Viva noi/Vorrei essere un gabbiano (Fonit, SPF 31305)
1975 – Una vita difficile/Una lettera (Fonit, SP 1592)
1976 – La montagna/Ho sognato di te (Cetra, SP 1617)
1977 – Colpa di un disco/Colpa di un disco (strumentale) (Eleven,  EL 63)
1978 – L'aquilone/L'aquilone (strumentale) (Dig-It, DG 1177)
1980 – Non rompere/Non rompere (strumentale) (Ciao Records, 504; inciso con lo pseudonimo G. Bri)
1981 – Indovina indovinello/Caldo come neve (Cristoforo Colombo Records, CCRC 43006)
1982 – Frutta fuori stagione/La solita storia (Banana Records, BAN 5045021)
1984 – Ho la testa nel pallone/Ho la testa nel pallone (strumentale) (Good Vibes, PM 45003)
1985 – Dai campione/Dai campione (strumentale) (Top Records, TP 66001)

Partecipazioni
 1996 – AA.VV Alto volume 2º 1967-1971 (Giallo Records, FS 1016/2; Vanna Brosio è presente con quattro brani, tra cui l'inedito La nostra storia finisce qui, del 1969)

Filmografia
Dal sabato al lunedì, regia di Guido Guerrasio (1962)
Viale della canzone, regia di Tullio Piacentini (1965)
Mercanti di vergini, regia di Renato Dall'Ara (1969)
Il caso "Venere privata", regia di Yves Boisset (1970)
Bianchi cavalli d'agosto, regia di Raimondo Del Balzo (1975)
Le braghe del padrone, regia di Flavio Mogherini (1978)

Note

Bibliografia

Altri progetti

Collegamenti esterni

Brosio, Vanna
Conduttori televisivi di Rai 1 degli anni 1970
Gruppi e musicisti della Variety
Gruppi e musicisti della Miura

redpajama_set_name: RedPajamaWikipedia


text:
//=================================================================================================

//=================================================================================================

#ifndef _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_
#define _BLAZE_MATH_EXPRESSIONS_TSMATTSMATADDEXPR_H_

//*************************************************************************************************
// Includes
//*************************************************************************************************

#include <utility>
#include <blaze/math/Aliases.h>
#include <blaze/math/constraints/ColumnMajorMatrix.h>
#include <blaze/math/constraints/MatMatAddExpr.h>
#include <blaze/math/constraints/RequiresEvaluation.h>
#include <blaze/math/constraints/SparseMatrix.h>
#include <blaze/math/constraints/Symmetric.h>
#include <blaze/math/constraints/Zero.h>
#include <blaze/math/Exception.h>
#include <blaze/math/expressions/Computation.h>
#include <blaze/math/expressions/Forward.h>
#include <blaze/math/expressions/MatMatAddExpr.h>
#include <blaze/math/expressions/SparseMatrix.h>
#include <blaze/math/shims/IsDefault.h>
#include <blaze/math/shims/Serial.h>
#include <blaze/math/traits/AddTrait.h>
#include <blaze/math/typetraits/IsExpression.h>
#include <blaze/math/typetraits/IsResizable.h>
#include <blaze/math/typetraits/IsRowMajorMatrix.h>
#include <blaze/math/typetraits/IsSymmetric.h>
#include <blaze/math/typetraits/IsTemporary.h>
#include <blaze/math/typetraits/IsZero.h>
#include <blaze/util/Assert.h>
#include <blaze/util/EnableIf.h>
#include <blaze/util/FunctionTrace.h>
#include <blaze/util/IntegralConstant.h>
#include <blaze/util/MaybeUnused.h>
#include <blaze/util/mpl/If.h>
#include <blaze/util/Types.h>
#include <blaze/util/typetraits/IsSame.h>

namespace blaze {

//=================================================================================================
//
//  CLASS TSMATTSMATADDEXPR
//
//=================================================================================================

//*************************************************************************************************
/*!\brief Expression object for transpose sparse matrix-transpose sparse matrix additions.
// \ingroup sparse_matrix_expression
//
// The TSMatTSMatAddExpr class represents the compile time expression for additions between
// two column-major sparse matrices.
*/
template< typename MT1    // Type of the left-hand side sparse matrix
        , typename MT2 >  // Type of the right-hand side sparse matrix
class TSMatTSMatAddExpr
   : public MatMatAddExpr< SparseMatrix< TSMatTSMatAddExpr<MT1,MT2>, true > >
   , private Computation
{
 private:
   //**Type definitions****************************************************************************
   using RT1 = ResultType_t<MT1>;     //!< Result type of the left-hand side sparse matrix expression.
   using RT2 = ResultType_t<MT2>;     //!< Result type of the right-hand side sparse matrix expression.
   using RN1 = ReturnType_t<MT1>;     //!< Return type of the left-hand side sparse matrix expression.
   using RN2 = ReturnType_t<MT2>;     //!< Return type of the right-hand side sparse matrix expression.
   using CT1 = CompositeType_t<MT1>;  //!< Composite type of the left-hand side sparse matrix expression.
   using CT2 = CompositeType_t<MT2>;  //!< Composite type of the right-hand side sparse matrix expression.
   //**********************************************************************************************

   //**Return type evaluation**********************************************************************
   //! Compilation switch for the selection of the subscript operator return type.
   /*! The \a returnExpr compile time constant expression is a compilation switch for the
       selection of the \a ReturnType. If either matrix operand returns a temporary vector
       or matrix, \a returnExpr will be set to \a false and the subscript operator will
       return it's result by value. Otherwise \a returnExpr will be set to \a true and
       the subscript operator may return it's result as an expression. */
   static constexpr bool returnExpr = ( !IsTemporary_v<RN1> && !IsTemporary_v<RN2> );

   //! Expression return type for the subscript operator.
   using ExprReturnType = decltype( std::declval<RN1>() + std::declval<RN2>() );
   //**********************************************************************************************

   //**Serial evaluation strategy******************************************************************
   /*! \cond BLAZE_INTERNAL */
   //! Helper variable template for the explicit application of the SFINAE principle.
   /*! This variable template is a helper for the selection of the serial evaluation strategy.
       In case the target matrix is column-major and both matrix operands are symmetric, the
       variable is set to 1 and an optimized evaluation strategy is selected. Otherwise the
       variable is set to 0 and the default strategy is chosen. */
   template< typename T1, typename T2, typename T3 >
   static constexpr bool UseSymmetricKernel_v =
      ( IsRowMajorMatrix_v<T1> && IsSymmetric_v<T2> && IsSymmetric_v<T3> );
   /*! \endcond */
   //**********************************************************************************************

   //**Parallel evaluation strategy****************************************************************
   /*! \cond BLAZE_INTERNAL */
   //! Helper variable template for the explicit application of the SFINAE principle.
   /*! This variable template is a helper for the selection of the parallel evaluation strategy.
       In case the target matrix is SMP assignable, the variable is set to 1 and the expression
       specific evaluation strategy is selected. Otherwise the variable is set to 0 and the
       default strategy is chosen. */
   template< typename MT >
   static constexpr bool UseSMPAssign_v = MT::smpAssignable;
   /*! \endcond */
   //**********************************************************************************************

 public:
   //**Type definitions****************************************************************************
   using This          = TSMatTSMatAddExpr<MT1,MT2>;   //!< Type of this TSMatTSMatAddExpr instance.
   using BaseType      = SparseMatrix<This,true>;      //!< Base type of this TSMatTSMatAddExpr instance.
   using ResultType    = AddTrait_t<RT1,RT2>;          //!< Result type for expression template evaluations.
   using OppositeType  = OppositeType_t<ResultType>;   //!< Result type with opposite storage order for expression template evaluations.
   using TransposeType = TransposeType_t<ResultType>;  //!< Transpose type for expression template evaluations.
   using ElementType   = ElementType_t<ResultType>;    //!< Resulting element type.

   //! Return type for expression template evaluations.
   using ReturnType = const If_t< returnExpr, ExprReturnType, ElementType >;

   //! Data type for composite expression templates.
   using CompositeType = const ResultType;

   //! Composite type of the left-hand side sparse matrix expression.
   using LeftOperand = If_t< IsExpression_v<MT1>, const MT1, const MT1& >;

   //! Composite type of the right-hand side sparse matrix expression.
   using RightOperand = If_t< IsExpression_v<MT2>, const MT2, const MT2& >;
   //**********************************************************************************************

   //**Compilation flags***************************************************************************
   //! Compilation switch for the expression template assignment strategy.
   static constexpr bool smpAssignable = false;
   //**********************************************************************************************

   //**Constructor*********************************************************************************
   /*!\brief Constructor for the TSMatTSMatAddExpr class.
   //
   // \param lhs The left-hand side sparse matrix operand of the addition expression.
   // \param rhs The right-hand side sparse matrix operand of the addition expression.
   */
   inline TSMatTSMatAddExpr( const MT1& lhs, const MT2& rhs ) noexcept
      : lhs_( lhs )  // Left-hand side sparse matrix of the addition expression
      , rhs_( rhs )  // Right-hand side sparse matrix of the addition expression
   {
      BLAZE_INTERNAL_ASSERT( lhs.rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( lhs.columns() == rhs.columns(), "Invalid number of columns" );
   }
   //**********************************************************************************************

   //**Access operator*****************************************************************************
   /*!\brief 2D-access to the matrix elements.
   //
   // \param i Access index for the row. The index has to be in the range \f$[0..M-1]\f$.
   // \param j Access index for the column. The index has to be in the range \f$[0..N-1]\f$.
   // \return The resulting value.
   */
   inline ReturnType operator()( size_t i, size_t j ) const {
      BLAZE_INTERNAL_ASSERT( i < lhs_.rows()   , "Invalid row access index"    );
      BLAZE_INTERNAL_ASSERT( j < lhs_.columns(), "Invalid column access index" );
      return lhs_(i,j) + rhs_(i,j);
   }
   //**********************************************************************************************

   //**At function*********************************************************************************
   /*!\brief Checked access to the matrix elements.
   //
   // \param i Access index for the row. The index has to be in the range \f$[0..M-1]\f$.
   // \param j Access index for the column. The index has to be in the range \f$[0..N-1]\f$.
   // \return The resulting value.
   // \exception std::out_of_range Invalid matrix access index.
   */
   inline ReturnType at( size_t i, size_t j ) const {
      if( i >= lhs_.rows() ) {
         BLAZE_THROW_OUT_OF_RANGE( "Invalid row access index" );
      }
      if( j >= lhs_.columns() ) {
         BLAZE_THROW_OUT_OF_RANGE( "Invalid column access index" );
      }
      return (*this)(i,j);
   }
   //**********************************************************************************************

   //**Rows function*******************************************************************************
   /*!\brief Returns the current number of rows of the matrix.
   //
   // \return The number of rows of the matrix.
   */
   inline size_t rows() const noexcept {
      return lhs_.rows();
   }
   //**********************************************************************************************

   //**Columns function****************************************************************************
   /*!\brief Returns the current number of columns of the matrix.
   //
   // \return The number of columns of the matrix.
   */
   inline size_t columns() const noexcept {
      return lhs_.columns();
   }
   //**********************************************************************************************

   //**NonZeros function***************************************************************************
   /*!\brief Returns the number of non-zero elements in the sparse matrix.
   //
   // \return The number of non-zero elements in the sparse matrix.
   */
   inline size_t nonZeros() const {
      return lhs_.nonZeros() + rhs_.nonZeros();
   }
   //**********************************************************************************************

   //**NonZeros function***************************************************************************
   /*!\brief Returns the number of non-zero elements in the specified row.
   //
   // \param i The index of the row.
   // \return The number of non-zero elements of row \a i.
   */
   inline size_t nonZeros( size_t i ) const {
      return lhs_.nonZeros(i) + rhs_.nonZeros(i);
   }
   //**********************************************************************************************

   //**Left operand access*************************************************************************
   /*!\brief Returns the left-hand side transpose sparse matrix operand.
   //
   // \return The left-hand side transpose sparse matrix operand.
   */
   inline LeftOperand leftOperand() const noexcept {
      return lhs_;
   }
   //**********************************************************************************************

   //**Right operand access************************************************************************
   /*!\brief Returns the right-hand side transpose sparse matrix operand.
   //
   // \return The right-hand side transpose sparse matrix operand.
   */
   inline RightOperand rightOperand() const noexcept {
      return rhs_;
   }
   //**********************************************************************************************

   //**********************************************************************************************
   /*!\brief Returns whether the expression can alias with the given address \a alias.
   //
   // \param alias The alias to be checked.
   // \return \a true in case the expression can alias, \a false otherwise.
   */
   template< typename T >
   inline bool canAlias( const T* alias ) const noexcept {
      return ( lhs_.canAlias( alias ) || rhs_.canAlias( alias ) );
   }
   //**********************************************************************************************

   //**********************************************************************************************
   /*!\brief Returns whether the expression is aliased with the given address \a alias.
   //
   // \param alias The alias to be checked.
   // \return \a true in case an alias effect is detected, \a false otherwise.
   */
   template< typename T >
   inline bool isAliased( const T* alias ) const noexcept {
      return ( lhs_.isAliased( alias ) || rhs_.isAliased( alias ) );
   }
   //**********************************************************************************************

 private:
   //**Member variables****************************************************************************
   LeftOperand  lhs_;  //!< Left-hand side sparse matrix of the addition expression.
   RightOperand rhs_;  //!< Right-hand side sparse matrix of the addition expression.
   //**********************************************************************************************

   //**Assignment to dense matrices****************************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Assignment of a transpose sparse matrix-transpose sparse matrix addition to a
   //        dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression to be assigned.
   // \return void
   //
   // This function implements the performance optimized assignment of a transpsoe sparse matrix-
   // transpose sparse matrix addition expression to a dense matrix.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline void assign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      assign( ~lhs, rhs.lhs_ );

      if( !IsResizable_v< ElementType_t<MT> > ) {
         addAssign( ~lhs, rhs.rhs_ );
      }
      else
      {
         CT2 B( serial( rhs.rhs_ ) );  // Evaluation of the right-hand side sparse matrix operand

         BLAZE_INTERNAL_ASSERT( B.rows()    == rhs.rhs_.rows()   , "Invalid number of rows"    );
         BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
         BLAZE_INTERNAL_ASSERT( B.rows()    == (~lhs).rows()     , "Invalid number of rows"    );
         BLAZE_INTERNAL_ASSERT( B.columns() == (~lhs).columns()  , "Invalid number of columns" );

         for( size_t j=0UL; j<(~lhs).columns(); ++j ) {
            const auto end( B.end(j) );
            for( auto element=B.begin(j); element!=end; ++element ) {
               if( isDefault( (~lhs)(element->index(),j) ) )
                  (~lhs)(element->index(),j) = element->value();
               else
                  (~lhs)(element->index(),j) += element->value();
            }
         }
      }
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Assignment to row-major sparse matrices*****************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Assignment of a transpose sparse matrix-transpose sparse matrix addition to a
   //        row-major sparse matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side sparse matrix.
   // \param rhs The right-hand side addition expression to be assigned.
   // \return void
   //
   // This function implements the default assignment of a transpose sparse matrix-transpose
   // sparse matrix addition expression to a row-major sparse matrix.
   */
   template< typename MT >  // Type of the target sparse matrix
   friend inline auto assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
      -> DisableIf_t< UseSymmetricKernel_v<MT,MT1,MT2> >
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_CONSTRAINT_MUST_NOT_BE_SYMMETRIC_MATRIX_TYPE( MT );

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      CT1 A( serial( rhs.lhs_ ) );  // Evaluation of the left-hand side sparse matrix operand
      CT2 B( serial( rhs.rhs_ ) );  // Evaluation of the right-hand side sparse matrix operand

      BLAZE_INTERNAL_ASSERT( A.rows()    == rhs.lhs_.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
      BLAZE_INTERNAL_ASSERT( B.rows()    == rhs.rhs_.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
      BLAZE_INTERNAL_ASSERT( A.rows()    == (~lhs).rows()     , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns()  , "Invalid number of columns" );

      const size_t m( rhs.rows()    );
      const size_t n( rhs.columns() );

      // Counting the number of elements per column
      std::vector<size_t> nonzeros( m, 0UL );
      for( size_t j=0UL; j<n; ++j )
      {
         const auto lend( A.end(j) );
         const auto rend( B.end(j) );

         auto l( A.begin(j) );
         auto r( B.begin(j) );

         while( l != lend && r != rend )
         {
            if( l->index() < r->index() ) {
               ++nonzeros[l->index()];
               ++l;
            }
            else if( l->index() > r->index() ) {
               ++nonzeros[r->index()];
               ++r;
            }
            else {
               ++nonzeros[l->index()];
               ++l;
               ++r;
            }
         }

         while( l != lend ) {
            ++nonzeros[l->index()];
            ++l;
         }

         while( r != rend ) {
            ++nonzeros[r->index()];
            ++r;
         }
      }

      // Resizing the left-hand side sparse matrix
      for( size_t i=0UL; i<m; ++i ) {
         (~lhs).reserve( i, nonzeros[i] );
      }

      // Performing the matrix addition
      for( size_t j=0UL; j<n; ++j )
      {
         const auto lend( A.end(j) );
         const auto rend( B.end(j) );

         auto l( A.begin(j) );
         auto r( B.begin(j) );

         while( l != lend && r != rend )
         {
            if( l->index() < r->index() ) {
               (~lhs).append( l->index(), j, l->value() );
               ++l;
            }
            else if( l->index() > r->index() ) {
               (~lhs).append( r->index(), j, r->value() );
               ++r;
            }
            else {
               (~lhs).append( l->index(), j, l->value() + r->value() );
               ++l;
               ++r;
            }
         }

         while( l != lend ) {
            (~lhs).append( l->index(), j, l->value() );
            ++l;
         }

         while( r != rend ) {
            (~lhs).append( r->index(), j, r->value() );
            ++r;
         }
      }
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Assignment to row-major sparse matrices*****************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Assignment of a transpose sparse matrix-transpose sparse matrix addition to a
   //        row-major sparse matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side sparse matrix.
   // \param rhs The right-hand side addition expression to be assigned.
   // \return void
   //
   // This function implements the performance optimized assignment of a transpose sparse matrix-
   // transpose sparse matrix addition expression to a row-major sparse matrix.
   */
   template< typename MT >  // Type of the target sparse matrix
   friend inline auto assign( SparseMatrix<MT,false>& lhs, const TSMatTSMatAddExpr& rhs )
      -> EnableIf_t< UseSymmetricKernel_v<MT,MT1,MT2> >
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_CONSTRAINT_MUST_NOT_BE_SYMMETRIC_MATRIX_TYPE( MT );

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      assign( ~lhs, trans( rhs.lhs_ ) + trans( rhs.rhs_ ) );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Assignment to column-major sparse matrices**************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Assignment of a transpose sparse matrix-transpose sparse matrix addition to a
   //        column-major sparse matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side sparse matrix.
   // \param rhs The right-hand side addition expression to be assigned.
   // \return void
   //
   // This function implements the performance optimized assignment of a transpose sparse matrix-
   // transpose sparse matrix addition expression to a column-major sparse matrix.
   */
   template< typename MT >  // Type of the target sparse matrix
   friend inline void assign( SparseMatrix<MT,true>& lhs, const TSMatTSMatAddExpr& rhs )
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      CT1 A( serial( rhs.lhs_ ) );  // Evaluation of the left-hand side sparse matrix operand
      CT2 B( serial( rhs.rhs_ ) );  // Evaluation of the right-hand side sparse matrix operand

      BLAZE_INTERNAL_ASSERT( A.rows()    == rhs.lhs_.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( A.columns() == rhs.lhs_.columns(), "Invalid number of columns" );
      BLAZE_INTERNAL_ASSERT( B.rows()    == rhs.rhs_.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( B.columns() == rhs.rhs_.columns(), "Invalid number of columns" );
      BLAZE_INTERNAL_ASSERT( A.rows()    == (~lhs).rows()     , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( A.columns() == (~lhs).columns()  , "Invalid number of columns" );

      // Final memory allocation (based on the evaluated operands)
      (~lhs).reserve( A.nonZeros() + B.nonZeros() );

      // Performing the matrix addition
      for( size_t j=0UL; j<(~lhs).columns(); ++j )
      {
         const auto lend( A.end(j) );
         const auto rend( B.end(j) );

         auto l( A.begin(j) );
         auto r( B.begin(j) );

         while( l != lend && r != rend )
         {
            if( l->index() < r->index() ) {
               (~lhs).append( l->index(), j, l->value() );
               ++l;
            }
            else if( l->index() > r->index() ) {
               (~lhs).append( r->index(), j, r->value() );
               ++r;
            }
            else {
               (~lhs).append( l->index(), j, l->value() + r->value() );
               ++l;
               ++r;
            }
         }

         while( l != lend ) {
            (~lhs).append( l->index(), j, l->value() );
            ++l;
         }

         while( r != rend ) {
            (~lhs).append( r->index(), j, r->value() );
            ++r;
         }

         (~lhs).finalize( j );
      }
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Addition assignment to dense matrices*******************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Addition assignment of a transpose sparse matrix-transpose sparse matrix addition
   //        to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression to be added.
   // \return void
   //
   // This function implements the performance optimized addition assignment of a transpose
   // sparse matrix-transpose sparse matrix addition expression to a dense matrix.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline void addAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      addAssign( ~lhs, rhs.lhs_ );
      addAssign( ~lhs, rhs.rhs_ );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Addition assignment to sparse matrices******************************************************
   // No special implementation for the addition assignment to sparse matrices.
   //**********************************************************************************************

   //**Subtraction assignment to dense matrices****************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Subtraction assignment of a transpose sparse matrix-transpose sparse matrix
   //        addition to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression to be subtracted.
   // \return void
   //
   // This function implements the performance optimized subtraction assignment of a transpose
   // sparse matrix-transpose sparse matrix addition expression to a dense matrix.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline void subAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      subAssign( ~lhs, rhs.lhs_ );
      subAssign( ~lhs, rhs.rhs_ );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Subtraction assignment to sparse matrices***************************************************
   // No special implementation for the subtraction assignment to sparse matrices.
   //**********************************************************************************************

   //**Schur product assignment to dense matrices**************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief Schur product assignment of a transpose sparse matrix-transpose sparse matrix
   //        addition to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression for the Schur product.
   // \return void
   //
   // This function implements the performance optimized Schur product assignment of a transpose
   // sparse matrix-transpose sparse matrix addition expression to a dense matrix.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline void schurAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE( ResultType );
      BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE( ResultType );
      BLAZE_CONSTRAINT_MUST_NOT_REQUIRE_EVALUATION( ResultType );

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      const ResultType tmp( serial( rhs ) );
      schurAssign( ~lhs, tmp );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**Schur product assignment to sparse matrices*************************************************
   // No special implementation for the Schur product assignment to sparse matrices.
   //**********************************************************************************************

   //**Multiplication assignment to dense matrices*************************************************
   // No special implementation for the multiplication assignment to dense matrices.
   //**********************************************************************************************

   //**Multiplication assignment to sparse matrices************************************************
   // No special implementation for the multiplication assignment to sparse matrices.
   //**********************************************************************************************

   //**SMP assignment to dense matrices************************************************************
   // No special implementation for the SMP assignment to dense matrices.
   //**********************************************************************************************

   //**SMP assignment to sparse matrices***********************************************************
   // No special implementation for the SMP assignment to sparse matrices.
   //**********************************************************************************************

   //**SMP addition assignment to dense matrices***************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief SMP addition assignment of a transpose sparse matrix-transpose sparse matrix addition
   //        to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression to be added.
   // \return void
   //
   // This function implements the performance optimized SMP addition assignment of a transpose
   // sparse matrix-transpose sparse matrix addition expression to a dense matrix. Due to the
   // explicit application of the SFINAE principle, this function can only be selected by the
   // compiler in case the expression specific parallel evaluation strategy is selected.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline auto smpAddAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
      -> EnableIf_t< UseSMPAssign_v<MT> >
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      smpAddAssign( ~lhs, rhs.lhs_ );
      smpAddAssign( ~lhs, rhs.rhs_ );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**SMP addition assignment to sparse matrices**************************************************
   // No special implementation for the SMP addition assignment to sparse matrices.
   //**********************************************************************************************

   //**SMP subtraction assignment to dense matrices************************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief SMP subtraction assignment of a transpose sparse matrix-transpose sparse matrix
   //        addition to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression to be subtracted.
   // \return void
   //
   // This function implements the performance optimized SMP subtraction assignment of a transpose
   // sparse matrix-transpose sparse matrix addition expression to a dense matrix. Due to the
   // explicit application of the SFINAE principle, this function can only be selected by the
   // compiler in case the expression specific parallel evaluation strategy is selected.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline auto smpSubAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
      -> EnableIf_t< UseSMPAssign_v<MT> >
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      smpSubAssign( ~lhs, rhs.lhs_ );
      smpSubAssign( ~lhs, rhs.rhs_ );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**SMP subtraction assignment to sparse matrices***********************************************
   // No special implementation for the SMP subtraction assignment to sparse matrices.
   //**********************************************************************************************

   //**SMP Schur product assignment to dense matrices**********************************************
   /*! \cond BLAZE_INTERNAL */
   /*!\brief SMP Schur product assignment of a transpose sparse matrix-transpose sparse matrix
   //        addition to a dense matrix.
   // \ingroup sparse_matrix
   //
   // \param lhs The target left-hand side dense matrix.
   // \param rhs The right-hand side addition expression for the Schur product.
   // \return void
   //
   // This function implements the performance optimized SMP Schur product assignment of a
   // transpose sparse matrix-transpose sparse matrix addition expression to a dense matrix.
   // Due to the explicit application of the SFINAE principle, this function can only be
   // selected by the compiler in case the expression specific parallel evaluation strategy
   // is selected.
   */
   template< typename MT  // Type of the target dense matrix
           , bool SO >    // Storage order of the target dense matrix
   friend inline auto smpSchurAssign( DenseMatrix<MT,SO>& lhs, const TSMatTSMatAddExpr& rhs )
      -> EnableIf_t< UseSMPAssign_v<MT> >
   {
      BLAZE_FUNCTION_TRACE;

      BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE( ResultType );
      BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE( ResultType );
      BLAZE_CONSTRAINT_MUST_NOT_REQUIRE_EVALUATION( ResultType );

      BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == rhs.rows()   , "Invalid number of rows"    );
      BLAZE_INTERNAL_ASSERT( (~lhs).columns() == rhs.columns(), "Invalid number of columns" );

      const ResultType tmp( rhs );
      smpSchurAssign( ~lhs, tmp );
   }
   /*! \endcond */
   //**********************************************************************************************

   //**SMP Schur product assignment to sparse matrices*********************************************
   // No special implementation for the SMP Schur product assignment to sparse matrices.
   //**********************************************************************************************

   //**SMP multiplication assignment to dense matrices*********************************************
   // No special implementation for the SMP multiplication assignment to dense matrices.
   //**********************************************************************************************

   //**SMP multiplication assignment to sparse matrices********************************************
   // No special implementation for the SMP multiplication assignment to sparse matrices.
   //**********************************************************************************************

   //**Compile time checks*************************************************************************
   /*! \cond BLAZE_INTERNAL */
   BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE( MT1 );
   BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE( MT1 );
   BLAZE_CONSTRAINT_MUST_BE_SPARSE_MATRIX_TYPE( MT2 );
   BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE( MT2 );
   BLAZE_CONSTRAINT_MUST_FORM_VALID_MATMATADDEXPR( MT1, MT2 );
   /*! \endcond */
   //**********************************************************************************************
};
//*************************************************************************************************

//=================================================================================================
//
//  GLOBAL BINARY ARITHMETIC OPERATORS
//
//=================================================================================================

//*************************************************************************************************
/*! \cond BLAZE_INTERNAL */
/*!\brief Backend implementation of the addition of two column-major sparse matrices (\f$ A=B+C \f$).
// \ingroup sparse_matrix
//
// \param lhs The left-hand side sparse matrix for the addition.
// \param rhs The right-hand side sparse matrix for the addition.
// \return The sum of the two matrices.
//
// This function implements a performance optimized treatment of the addition between two
// column-major sparse matrices.
*/
template< typename MT1  // Type of the left-hand side sparse matrix
        , typename MT2  // Type of the right-hand side sparse matrix
        , DisableIf_t< ( ( IsZero_v<MT1> || IsZero_v<MT2> ) &&
                         IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > ) ||
                       ( IsZero_v<MT1> && IsZero_v<MT2> ) >* = nullptr >
inline const TSMatTSMatAddExpr<MT1,MT2>
   tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
{
   BLAZE_FUNCTION_TRACE;

   BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == (~rhs).rows()   , "Invalid number of rows"    );
   BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );

   return TSMatTSMatAddExpr<MT1,MT2>( ~lhs, ~rhs );
}
/*! \endcond */
//*************************************************************************************************

//*************************************************************************************************
/*! \cond BLAZE_INTERNAL */
/*!\brief Backend implementation of the addition between a column-major sparse matrix and a
//        column-major zero matrix (\f$ A=B+C \f$).
// \ingroup sparse_matrix
//
// \param lhs The left-hand side sparse matrix for the addition.
// \param rhs The right-hand side zero matrix for the addition.
// \return Reference to the left-hand side sparse matrix.
//
// This function implements a performance optimized treatment of the addition between a
// column-major sparse matrix and a column-major zero matrix. It returns a reference to the
// left-hand side sparse matrix.
*/
template< typename MT1  // Type of the left-hand side sparse matrix
        , typename MT2  // Type of the right-hand side sparse matrix
        , EnableIf_t< !IsZero_v<MT1> && IsZero_v<MT2> &&
                      IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
inline const MT1&
   tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
{
   BLAZE_FUNCTION_TRACE;

   MAYBE_UNUSED( rhs );

   BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == (~rhs).rows()   , "Invalid number of rows"    );
   BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );

   return (~lhs);
}
/*! \endcond */
//*************************************************************************************************

//*************************************************************************************************
/*! \cond BLAZE_INTERNAL */
/*!\brief Backend implementation of the addition between a column-major zero matrix and a
//        column-major sparse matrix (\f$ A=B+C \f$).
// \ingroup sparse_matrix
//
// \param lhs The left-hand side zero matrix for the addition.
// \param rhs The right-hand side sparse matrix for the addition.
// \return Reference to the right-hand side sparse matrix.
//
// This function implements a performance optimized treatment of the addition between a
// column-major zero matrix and a column-major sparse matrix. It returns a reference to the
// right-hand side sparse matrix.
*/
template< typename MT1  // Type of the left-hand side sparse matrix
        , typename MT2  // Type of the right-hand side sparse matrix
        , EnableIf_t< IsZero_v<MT1> && !IsZero_v<MT2> &&
                      IsSame_v< ElementType_t<MT1>, ElementType_t<MT2> > >* = nullptr >
inline const MT2&
   tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
{
   BLAZE_FUNCTION_TRACE;

   MAYBE_UNUSED( lhs );

   BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == (~rhs).rows()   , "Invalid number of rows"    );
   BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );

   return (~rhs);
}
/*! \endcond */
//*************************************************************************************************

//*************************************************************************************************
/*! \cond BLAZE_INTERNAL */
/*!\brief Backend implementation of the addition of two column-major zero matrices (\f$ A=B+C \f$).
// \ingroup sparse_matrix
//
// \param lhs The left-hand side zero matrix for the addition.
// \param rhs The right-hand side zero matrix for the addition.
// \return The resulting zero matrix.
//
// This function implements a performance optimized treatment of the addition between two
// column-major zero matrices. It returns a zero matrix.
*/
template< typename MT1  // Type of the left-hand side sparse matrix
        , typename MT2  // Type of the right-hand side sparse matrix
        , EnableIf_t< IsZero_v<MT1> && IsZero_v<MT2> >* = nullptr >
inline decltype(auto)
   tsmattsmatadd( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
{
   BLAZE_FUNCTION_TRACE;

   MAYBE_UNUSED( rhs );

   BLAZE_INTERNAL_ASSERT( (~lhs).rows()    == (~rhs).rows()   , "Invalid number of rows"    );
   BLAZE_INTERNAL_ASSERT( (~lhs).columns() == (~rhs).columns(), "Invalid number of columns" );

   using ReturnType = const AddTrait_t< ResultType_t<MT1>, ResultType_t<MT2> >;

   BLAZE_CONSTRAINT_MUST_BE_COLUMN_MAJOR_MATRIX_TYPE( ReturnType );
   BLAZE_CONSTRAINT_MUST_BE_ZERO_TYPE( ReturnType );

   return ReturnType( (~lhs).rows(), (~lhs).columns() );
}
/*! \endcond */
//*************************************************************************************************

//*************************************************************************************************
/*!\brief Addition operator for the addition of two column-major sparse matrices (\f$ A=B+C \f$).
// \ingroup sparse_matrix
//
// \param lhs The left-hand side sparse matrix for the matrix addition.
// \param rhs The right-hand side sparse matrix to be added to the left-hand side matrix.
// \return The sum of the two matrices.
// \exception std::invalid_argument Matrix sizes do not match.
//
// This operator represents the addition of two column-major sparse matrices:

   \code
   using blaze::columnMajor;

   blaze::CompressedMatrix<double,columnMajor> A, B, C;
   // ... Resizing and initialization
   C = A + B;
   \endcode

// The operator returns an expression representing a sparse matrix of the higher-order element
// type of the two involved matrix element types \a MT1::ElementType and \a MT2::ElementType.
// Both matrix types \a MT1 and \a MT2 as well as the two element types \a MT1::ElementType
// and \a MT2::ElementType have to be supported by the AddTrait class template.\n
// In case the current number of rows and columns of the two given matrices don't match, a
// \a std::invalid_argument is thrown.
*/
template< typename MT1    // Type of the left-hand side sparse matrix
        , typename MT2 >  // Type of the right-hand side sparse matrix
inline decltype(auto)
   operator+( const SparseMatrix<MT1,true>& lhs, const SparseMatrix<MT2,true>& rhs )
{
   BLAZE_FUNCTION_TRACE;

   if( (~lhs).rows() != (~rhs).rows() || (~lhs).columns() != (~rhs).columns() ) {
      BLAZE_THROW_INVALID_ARGUMENT( "Matrix sizes do not match" );
   }

   return tsmattsmatadd( ~lhs, ~rhs );
}
//*************************************************************************************************

} // namespace blaze

#endif

redpajama_set_name: RedPajamaGithub


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Under an hour from Edinburgh to Tweedbank on the new Borders Railway – well, not on Saturday, the journey ending up double that!
Turning up at Waverley Station for the 4.22pm to Tweedbank, we sat in the train for 20 minutes before being told that there was a fault and it was everybody out!
We were instructed to go to platform one and after sitting in carriages there for around ten minutes, it was announced that this train was having to go to the depot, so it was everybody out! Staff instructed us to go to either platform two or three (it was actually two).
After standing there for around ten minutes, we were then told to proceed to platform 11. Finally, at 5.25pm, passengers on the Borders line were under way – one hour later than scheduled.
Anyone with a difficulty walking, wheelchair-bound people with carers, or mothers with young children, would have found all this very stressful and certainly not a good advert for what is essentially a great service once all the teething problems which are being reported are resolved.
Incidentally, on Saturday morning not a car parking space was to be had at Tweedbank, with a great number of drivers having to leave their cars on the verges.


To say that the Internet is transformational is an understatement. From social networking to news and research sites, the Internet has changed how we connect with friends and family and how we conduct business. And now, it promises to change the way we learn. Coursera is a free, groundbreaking tool that allows university professors to teach college-level courses to thousands around the world.
"This allows us to break away from the one-size-fits-all model of education," Daphne Koller, co-founder of Coursera and a professor in computer science at Stanford, told a group of Penn faculty and students during a campus talk on Oct. 4.
With 1.5 million students, 33 participating universities and 198 course offerings, Coursera has already become immensely popular since its launch in the spring of 2012. Through Coursera, professors can disseminate knowledge much more efficiently than teaching to a few hundred students on a college campus. In fact, Koller stated, it would take one of her colleagues 250 years to teach the same number of students at Stanford as he reaches through one class of 100,000 students on Coursera.
And Coursera does reach nearly every corner of the world. It has users in every country, with the exception of North Korea. While some countries' education systems are plagued by structural inadequacies and capacity restrictions, Coursera is specifically programmed to handle very large classes. This gives all individuals with an Internet connection access to some of the best professors in the world—including those at Wharton and Penn.
But this new platform doesn't signal the end of the university system as we know it. Coursera does not offer college credit, and the certificate a student receives after completing the course is not equivalent to a degree. But, whether degree-granting or not, Coursera offers remote areas of the world access to knowledge that they never had before.
According to Koller, this increase in access can change the world.


text:
Carmen Luisa Arocha de Piñango (Ciudad Bolívar, Venezuela, 12 de mayo de 1930), es una investigadora y médico cirujano venezolana especializada en hematología. Es miembro fundador de la Sociedad Venezolana de Hematología, del Grupo Latinoamericano Hemostasia y Trombosis y del Grupo de Trabajo sobre Fibrinógeno. Es pionera de la fototerapia para tratar la ictericia neonatal en Venezuela.

Biografía
Hija de Carlos Arocha Rodríguez y Mercedes Carvajal de Arocha. Carmen recuerda que de niña jugaba a simular intervenciones quirúrgicas a sus muñecas. Al finalizar la primaria, se establece en Caracas y cursa sus estudios de educación secundaria en el Liceo Aplicación hasta 1947. Ingresa luego a la Escuela de Medicina de la Universidad Central de Venezuela donde se titula como Médico Cirujano en 1954. Ese mismo año recibe una beca otorgada por la Beneficencia Pública del Distrito Federal de Venezuela para estudiar el curso de posgrado de Hematología y Hemoterapia para Médicos en el Banco de Sangre de Caracas.

Al culminar su estadía en el Banco de Sangre, regresa a Ciudad Bolívar donde trabaja primero como Médico Domiciliario y luego como Jefe de Laboratorio del Hospital del Seguro Social. También se desempeñó como Hematólogo Jefe del Banco de Sangre del Hospital Ruiz y Páez, del Ministerio de Sanidad y Asistencia Social en esa misma ciudad.

En 1962 ganó una beca auspiciada por la Universidad de Oriente para hacer estudios de Posgrado en Hematología en el Hospital Monte Sinaí, en Nueva York, Estados Unidos. Ahí se convierte en Investigadora Asociada del Departamento de Coagulación de esa institución.

Regresa a Venezuela y en 1966 se une al Instituto Venezolano de Investigaciones Científicas como Hematólogo (Médico Técnico) del Laboratorio de Fisiopatología. Es nombrada secretaria de la Sociedad Venezolana de Hematología en 1967 y en 1968 el IVIC le otorga una beca para realizar estudios de posgrado en hemostasia en la Escuela Médica Santo Tomás en Londres, Inglaterra, donde primero se desempeña como Investigadora Asistente y luego como Investigadora Asociada.

Al culminar, regresa al IVIC donde asciende a Investigadora Asociada del laboratorio de Fisiopatología en 1972 y es premiada por la Cámara de la Industria Farmacéutica Venezolana (Premio CIFAVE). Dos años más tarde es nombrada Consejera, por Venezuela, de la Sociedad Internacional de Hematología y en 1975 es distinguida con la Orden Andrés Bello en Segunda Clase, conferida por el Estado Venezolano. Es nombrada Vicepresidente de la Sociedad Venezolana de Hematología en 1979, y en 1982 sería receptora nuevamente de este premio pero esta vez en Primera Clase y en 1983 se convierte en miembro de la Academia de Ciencias de Nueva York, Estados Unidos.

Para 1987 es Investigadora Titular del IVIC y preside la Asociación de Investigadores de esa institución por un año. En 1989 asume la jefatura del Centro de Medicina Experimental de esa institución y es premiada por la Gobernación de Caracas por su "Contribución al Avance en la Hematología en Venezuela". Al año siguiente es nombrada como Investigadora Emérita del IVIC.

Hasta el año 2008, ha participado en más de 150 congresos en Venezuela y más de 150 internacionales. Ha publicado, como autora o coautora, más de 100 artículos científicos y ha participado en 13 libros.

El 20 de agosto de 1953 Carmen Luisa Arocha se casó con Arnaldo Piñango y tuvieron tres hijos: María Josefina, Xavier y Luz Marina.

Lucha por la academia y la investigación en Venezuela
En el año 1987, durante el gobierno de Jaime Lusinchi, los investigadores exigieron un dólar preferencial a 4,30 bolívares para la ciencia. Esto llevó a diversas asociaciones de investigadores a salir a la calle bajo la consigna de "La ciencia está en la calle por justo presupuesto". Este año una marcha salió desde Parque Carabobo, contaba con representantes de AsoVac, APIU, UCV, Carmen Arocha de Piñango por AsoIVIC, y otros del Instituto Venezolano para la investigación Científica.

En el mismo discurso que se pronunció en la Plaza del Venezolano la Dra. Arocha cerró su intervención con las siguientes palabras:

Trayectoria laboral
 Médico domiciliario Hospital del Seguro Social, Ciudad Bolívar 1955 a 1957.

 Jefa de Laboratorio Hospital del Seguro Social Ciudad Bolívar, 1956 a 1963.

 Hematólogo Jefe del Banco de Sangre Hospital Ruíz y Páez (Ministerio de Salud y Asistencia Social) Ciudad Bolívar 1957 a 1966.

 Fellow Research Departament of Coagulación Mount Sinai Hospital, New York, 1962.

 Hematólogo (Médico Técnico) Laboratorio de Fisiopatología Instituto Venezolano de Investigaciones Científicas, Caracas, Mayo 1966 a mayo de 1968.

 Research Assistant, St. Thomas Hospital, Londres, Inglaterra, 1968 a 1971.

 Fellow Research, St. Thomas Hospital, Londres, Inglaterra, 1970 a 1971.

 Investigadora Asociada, Laboratorio de Fisiopatología, Departamento de Medicina Experimental. Instituto Venezolano de Investigaciones Científicas 1972 a 1987.

 Investigadora Titular, Instituto Venezolano de Investigaciones Científicas, desde 1987

 Jefa del Centro de Medicina Experimental, 1989 a 1992.

 Investigadora Emérita, Instituto Venezolano de Investigaciones Científicas, desde 1990.

Premios y honores
 Premio de la CIFAVE, 1972.
 Orden Andrés Bello, Segunda Clase, 1975.
 Orden Andrés Bello, Primera Clase, 1982.
 1er Premio Mejor Trabajo Científico. Jornadas Científicas Policlínica Metropolitana, 1982.
 Premios Rolex a la Iniciativa: Selecting list for publication en Libro Spirit of Enterprise, 1987.
 Premio Investigación en Hemostasia. I Congreso Nacional de la Sociedad Venezolana de Hematología, 1989.
 Premio Gobernador de Caracas por Contribución al Avance en la Hematología en Venezuela, 1989.
 Investigadora Emérita, Instituto Venezolano de Investigaciones Científicas, 1990.
 Condecoración Enrique Tejera Ministerio de Salud y Asistencia Social, Venezuela. 1993.
 Primer Premio Mejor Trabajo Científico realizado en Latinoamérica y presentado al XIII Congreso Iberoamericano de Hemostasia y Trombosis, Grupo CLAHT. San José, Costa Rica, julio de 1993.
 Premio Servicardio Mejor Proyecto Clínico en Cardiología, Hospital Clínico Universitario de Caracas, 1994.
 Premio Internacional Fibrinógeno. XV Congreso Internacional de Cardiología. Santiago de Chile, iciembre de 1995.
 Investigadora Emérita, Sistema de Promoción del Investigador (CONICIT), 1996.
 Segundo Premio al Mejor Trabajo Científico. XV Congreso del Grupo CLAHT, Santo Domingo - República Dominicana, junio de 1997.
 Nombramiento del V Congreso Venezolano de Hematología como "Dra. Cármen Luisa Arocha-Piñango", Puerto Ordaz, Venezuela, octubre de 1997.
 Premio Sociedad Venezolana de Hematología, mención Hematología Experimental, al trabajo presentado durante el V Congreso Venezolano de Hematología, Puerto Ordaz, Venezuela, del 2 al 7 de octubre de 1997.
 Premio Mejor Póster en Diseño y Contenido. IV Jornadas de Investigación de la Facultad de Ciencias Veterinarias de la UCV Maracay, Venezuela, diciembre de 2001
 Premio "Luis Razetti" del Colegio de Médicos del Distrito Metropolitano de Caracas el 4 de marzo de 2002.
 Vicepresidente Honorario, Simposium VII Congreso Caribeño de Angiología y Cirugía Vascular. Grupo CLAHT, La Habana, Cuba, 2002.
 Invitación para actuar como Guest Editor in a special issue of Thrombosis. Fibrinogen: Pathophysiology on Thrombosis. Sarah Shork, Hindaw Publishing Corporation Editors. (No aceptado por problemas de salud). 2012.

Asociaciones Científicas y Profesionales
 Miembro Fundador de la Sociedad Venezolana de Hematología.
 Miembro de la Sociedad Internacional de Transfusión Sanguínea desde 1964.
 Miembro de la Sociedad Internacional de Hematología, desde 1968.
 Miembro de la Sociedad Internacional de Coagulación y Trombosis desde 1970.
 Miembro de la Federación Mundial de Hemofilia desde 1970.
 Miembro Fundador del Grupo Latinoamericano Hemostasia y Trombosis, 1976.
 Miembro American Heart Asociation desde 1981.
 Miembro de la Academia de Ciencias de New York desde 1983.
 Coordinadora: Simposium "Animal venoms and plant products in hemostasis" VIII International Congress on Thrombosis. Estambul, Turquía, 1984.
 Comité Editorial Revista Thrombosis Research, 1984-1988.
 Presidente Asociación de Investigadores del Instituto Venezolano de Investigaciones Científicas, 1987-1988.
 Miembro Liga Mediterránea contra Enfermedades Trombóticas desde 1987.
 Miembro Fundador: Grupo de Trabajo sobre Fibrinógeno, 1990.
 Comité Redactor del Programa de Promoción del Investigador (PPI), 1990.
 Miembro del Comité de Estandarización y Control de Calidad de Reactivas para Coagulación (WHO), desde 1991.
 Comité Editorial. Enciclopedia Iberoamericana de Hematología. Universidad de Salamanca, 1992.
 Miembro Sociedad Internacional de Fibrinólisis, 1993.
 Miembro activo Asociación Venezolana de Aterosclerosis, noviembre de 1993.
 Miembro Correspondiente (Sociedad Peruana de Medicina Interna), noviembre de 1993.
 Coordinadora (Presidenta) Internacional, Grupo Cooperativo Latino Americano de Hemostasia y Trombosis. 1993 - 1997.
 Coordinadora (Organizadora) Simposium "Animal Venoms and Hemostasia" XIII Congreso Sociedad Internacional de Hematología, Estambul, Turquía, septiembre de 1995.
 Miembro del Subcomité en Nomenclatura de Factores Hemostáticos Exógenos" de la Sociedad Internacional de Trombosis y Hemostasia desde 1996.
 Miembro Correspondiente de la Sociedad Cubana de Angiología desde abril de 1997.
 Coordinadora (Organizadora) Simposium: "Exogenous Hemostatic Factors from Animals", XV Congreso Internacional en Trombosis, Antalya, Turquía, octubre de 1998.
 Miembro de la Sociedad Internacional de Toxinología, octubre de 1998.
 Miembro del Grupo FSC (Fibrinogen Studies Collaboration) Cambridge, Inglaterra, octubre de 2001.
 Miembro de la Sociedad Española de Trombosis y Hemostasia (SEHT) desde 2005.

Referencias

Médicas de Venezuela
Hematólogas


This article has been created with the purpose to explain how to remove the Mac Auto Fixer program from your computer and help protect it against such programs In the future as well.
Mac Auto Fixer is one of those programs which aim to get users to download it, thinking it will fix the performance issues on their MacBooks and then remove any malware. However, this is not entirely the case as Mac Auto Fixer may display misleading information to users which aims to trick them into believing that the program has detected various types of malicious files on their computers in order to convince users to purchase it's full version, whose main goal is to remove the detected errors. Since these detected errors may not even be real, we recommend that you immediately remove Mac Auto Fixer if you have added this app, preferably by using the information in this article.
Short Description May pretend to have discovered errors on your Mac but in reality might only want you to purchase it's full version and uses your Mac security as a reason.
Symptoms May run automatically and initiate system scans automatically on your computer.
User Experience Join Our Forum to Discuss Mac Auto Fixer.
The primary method via which this software may land itself on your computer is usually bundling within third-party freeware installers. This program may land itself on your computer as a result of it's installation files being merged with the installer of a program which you may have recently downloaded. Such programs can be often used software from the likes of media players, video converters, document converters or any other useful and free programs out there. These programs are often offered for free on third-party websites and then there are those sites that offer them with a "promotional offer". Such offer can be Mac Auto Fixer which may be advertised on one of the installation steps of the program, while posing as a free extra to your current installation. And it is not easy to discover it either as the program is located in the "Advanced" or "Custom" installation options and this is why it is very easy to miss it out.
Another method via which tis app is installed on users machines is via a fake page claiming that your Mac needs an update. This "update" actually pushes the Mac Auto Fixer software automatically.
Once Mac Auto Fixer has been added as an app to your Mac, the program may start to show up automatically when you start your machine. The software is originally advertised as a legitimate program that aims to serve as a cleanup utility for Mac. After some research we have discovered that this program may have something to do with a program, called Mac Tonic, to which the software actually links.
The program may also initiate an automated scan on your computer which may immediately result in errors that are detected. But be advised that these errors may not be all that you hope for as they may not even be real. The main reason behind this is the fact that the program cannot remove those errors until you purchase it's full version. And this is not all. Users have reported the software to also add browser extensions on the computers it's installed on which do a lot more than just catch errors. The extensions which were detected may be other fake helper programs that aim to improve your browsing experience.
This activity may result in you being misled to various websites you should not visit, such as phishing sites, scam sites or websites that may directly infect your mac with malware. Only one more reason to consider removing Mac Auto Fixer and it's extensions from your Mac.
Warning! In some cases the Mac Auto Fixer instances can mask as legitimate tools that are distributed by Apple and/or their partners. This is not a system utility that is promoted by the company and is made by a completely different third-party company.
One of the dangerous aspects of having this threat installed is that it may be programmed into installing various elements that cannot be removed using the ordinary uninstall method. It can also install itself as a persistent threat — the underlying engine will be started automatically once the computer is powered on.
In order to remove Mac Auto Fixer from your computer, we would recommend that you use a specific software that is designed to scan for and detect all of the related files and objects to Mac Auto Fixer and remove them. Such program also aims to ensure that your Mac remains protected against such invasive programs and malware in the future too, while also maintaining good performance of your machine.
Threats such as Mac Auto Fixer may be persistent. They tend to re-appear if not fully deleted. A malware removal tool like Combo Cleaner will help you to remove malicious programs, saving you the time and the struggle of tracking down numerous malicious files.
Threats such as Mac Auto Fixer may be persistent on your system. They tend to re-appear if not fully deleted. A malware removal tool like SpyHunter will help you to remove malicious programs, saving you the time and the struggle of tracking down numerous malicious files.
Note! Your computer system may be affected by Mac Auto Fixer and other threats.
SpyHunter is a powerful malware removal tool designed to help users with in-depth system security analysis, detection and removal of threats such as Mac Auto Fixer.
1. Install SpyHunter to scan for Mac Auto Fixer and remove them.
2. Scan with SpyHunter, Detect and Remove Mac Auto Fixer.
Ransomware infections and Mac Auto Fixer aim to encrypt your files using an encryption algorithm which may be very difficult to decrypt. This is why we have suggested several alternative methods that may help you go around direct decryption and try to restore your files. Bear in mind that these methods may not be 100% effective but may also help you a little or a lot in different situations.
Note! Your computer system may be affected by Mac Auto Fixer or other threats.
Remove Mac Auto Fixer by cleaning your Browser and Registry.
Fix registry entries created by Mac Auto Fixer on your PC.
Combo Cleaner is a powerful malware removal tool designed to help users with in-depth system security analysis, detection and removal of threats such as Mac Auto Fixer.
Step 5: In the Applications menu, look for any suspicious app or an app with a name, similar or identical to Mac Auto Fixer. If you find it, right-click on the app and select "Move to Trash".
Step 6: Select Accounts, after which click on the Login Items preference. Your Mac will then show you a list of items that start automatically when you log in. Look for any suspicious apps identical or similar to Mac Auto Fixer. Check the app you want to stop from running automatically and then select on the Minus ("–") icon to hide it.
Remove Mac Auto Fixer – related extensions from your Mac's browsers.
A pop-up window will appear asking for confirmation to uninstall the extension. Select 'Uninstall' again, and the Mac Auto Fixer will be removed.
When you are facing problems on your Mac as a result of unwanted scripts and programs such as Mac Auto Fixer, the recommended way of eliminating the threat is by using an anti-malware program. Combo Cleaner offers advanced security features along with other modules that will improve your Mac's security and protect it in the future.
Hey !, I found this information for you: "Mac Auto Fixer "Virus" Program – How to Remove It from Your Mac". Here is the website link: https://sensorstechforum.com/mac-auto-fixer-virus-program-remove/. Thank you.


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Q: How to draw multiple surface plots at the same mesh in MATLAB? I use this code to draw a Gaussian normal distribution. I want to plot several distributions at an equal distance from the original one (like the figure).

lambda = 1;               % wavelength

E0 = 1;                   % max value of E-field amplitude

% ==================================================================
% prepare the coordinates mesh
% ----------------------------

zLin = linspace(-201,201,400) * lambda;     % z-coordinate (horizontal)

rLin = linspace(-65,65,100) * lambda;       % radius-coordinate (vertical)

[z,r] = meshgrid(zLin,rLin);                % create mesh

% ===================================================================

wFactor = 4;

w0 = wFactor * lambda;                  % minimal waist

zR = pi* w0^2 / lambda;                 % Rayleigh length

w = w0 * sqrt( 1 + (z / zR) .^2 );      % Beam radius at any arbitrary distance (equ. 3)

% Irradiance
eta = 377;                              % for free space
I0 = abs(E0)^2/eta;

I = I0 .* (w0 ./ w).^2 .* exp( -2*(r./w).^2 );

surf(z,r,I); shading interp

redpajama_set_name: RedPajamaStackExchange


text:
Q: Android: DOM vs SAX vs XMLPullParser parsing? I am parsing XML Document using SAX Parser.
I want to know which is better and faster to work with DOM, SAX Parser or XMLPullParser.

A: it depends on what are you doing , if you have very large files then you should use SAX parser since it will fire events and releasing them  ,nothing is stored in memory ,and using SAX parser you can't access element in a random way there is no going back ! , but Dom let you access any part of the xml file since it keeps the whole file/document in memory .  hope this answer you question .
if you want to know which fastest parser  Xerces is going to be the fastest you'll find and SAX parser should give you more performance than Dom

A: The SAX XML Parser already available into the Android SDK.
http://developer.android.com/reference/org/xml/sax/XMLReader.html
so it is easy to access.

A: One aspect by which different kinds of parsers can be classified is whether they need to load the entire XML document into memory up front. Parsers based on the Document Object Model (DOM) do that: they parse XML documents into a tree structure, which can then be traversed in-memory to read its contents. This allows you to traverse a document in arbitrary order, and gives rise to some useful APIs that can be slapped on top of DOM, such as XPath, a path query language that has been specifically designed for extracting information from trees. Using DOM alone isn't much of a benefit because its API is clunky and it's expensive to always read everything into memory even if you don't need to. Hence, DOM parsers are, in most cases, not the optimal choice to parse XML on Android.
There are class of parsers that don't need to load a document up front. These parsers are stream-based, which means they process an XML document while still reading it from the data source (the Web or a disk). This implies
that you do not have random access to the XML tree as with DOM because no internal representation of the document is being maintained. Stream parsers can be further distinguished from each other. There are push parsers that, while streaming the document, will call back to your application when encountering a new element. SAX parsers, fall into this class. Then there are pull parsers, which are more like iterators or cursors: here the client must explicitly ask for the next element to be retrieved.
Source: Android in Practice.


United Free Methodist Church, St. Thomas Road, Launceston | Launceston Then!
United Free Methodist Church, St. Thomas Road.
In 1840, the local members purchased the site of the present chapel, in the Station Road (St Thomas New Road), opposite the Rev. Childs Clarke's Grammar School. This good building will accommodate 350 persons, and has a schoolroom on its basement floor. The adjoining preacher's house was built in the year 1876, and the chapel was reseated and otherwise improved in 1881. It is conveniently arranged as a place of worship, and has an enclosed frontage.
East Cornwall Times, 11th September, 1875. To Builders. TENDERS are invited by the Trustees of the United Methodist Free Church Property, St Thomas Road, Launceston, for Building a New Residence for their Minister. Plans and Specifications may be seen at Mr H Burt's, Newport Square. Tenders to be delivered on or before Monday, the 27th. inst., to Mr John Nicolls, Clifton Villa. The Trustees do not bind themselves to accept the lowest or any tender. Sep 11th, 1875.
The buildings were closed as a chapel in 1946, and was purchased in 1947, becoming the Cornish Brush Factory, which then moved from Western Road. The business was later taken over by Mr John Hodgson, and continued to manufacture wire machine brushes until becoming too outdated for the business, which was then transferred to Dockacre, beneath part of Mr Gables garage.
The old chapel and house then had a number of uses, becoming in turn, Mr Joe Vidler's Furniture Storage & Removals Depot, Mr Olver Harris' undertakers Chapel of Rest and garage, a music recording studio, a slot machine repair workshop, and later purchased and altered into residential flats c.1999. The old chapel was taken down in 1998, and rebuilt as accommodation flats, with parking spaces in the front.
In November 2002, the old preacher's cottage in St Thomas Road was put up for sale through Miller & Son, of Launceston, with an asking price of £245,000 for the Freehold property.


The delivery company will be giving out 100 tonnes of free food across the UK.
Deliveroo has announced the launch of the RooBus, which will be touring the UK throughout 2019 and giving away over 100 tonnes worth of free food to Brits.
The Bus began its 10-month tour, leaving Deliveroo on March 19 with its first official stop at Edinburgh University on March 20.
KFC, Pizza Express, Barburitto and Yo Sushi! Are some of the restaurant working with Deliveroo to give food to Brits at the RooBus' tour stops.
Customers will be able to take part in a food-themed escape room on the upper deck, solving food-related puzzles and riddles.


It's about characterization, fantastic dialogue – and ultimately, creating a character that feels like it has a soul. Not sure how to do that? This is where you find out.
How to use incredible character archetypes to create characters that really move us – with intention. Plus 3 points you need BEFORE you draft a profile.
There are many aspects of story that inform certain things about your character, and in turn the character informs what must happen in the story. It's a seamless dependence, round and round – so where do you as the creator of story start? You start with what matters most: character.
Expressing a character's Inner Thoughts is the exact opposite of the whole "show don't tell" mantra and philosophy we hear from every corner. But still – we DO need those Inner Thoughts. Here's how to do it right.
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