text:
Look who's talking: sources of variation in information disclosure in the UK
Peccei, R., Bewley, H., Gospel, H. and Willman, P. 2008. Look who's talking: sources of variation in information disclosure in the UK. British Journal of Industrial Relations. 46 (2), pp. 340-366. doi:10.1111/j.1467-8543.2008.00679.x
Peccei, R., Bewley, H., Gospel, H. and Willman, P.
The article examines the correlates of variable levels of information disclosure by management to employees in the UK. It develops several hypotheses that are tested using 1998 and 2004 Workplace Employment Relations Survey data. The results show that managerial perceptions of goal alignment by employees and the existence of direct participation mechanisms are positively associated with disclosure at both dates. The size of the workplace has a generally negative relationship at both dates, but less so in 2004 than in 1998. Other variables such as financial distress and the presence of trade unions and joint consultation have more complicated relationships over the two time periods. The article discusses theoretical and policy implications of the findings.
British Journal of Industrial Relations
The impact of Pathways to Work on work, earnings and self-reported health in the April 2006 expansion areas
Bewley, H., Dorsett, R. and Salis, S. 2009. The impact of Pathways to Work on work, earnings and self-reported health in the April 2006 expansion areas. Norwich Department for Work and Pensions.
Trading Places: Employers, Unions and the Manufacture of Voice, CEP Discussion Paper No. 884
Willman, P., Gomez, R. and Bryson, A. 2008. Trading Places: Employers, Unions and the Manufacture of Voice, CEP Discussion Paper No. 884. London Centre for Economic Performance, LSE.
From the Two Faces of Unionism to the Facebook Society: Union Voice in a 21st Century Context, Manpower Human Resources Lab Discussion Paper No. 6
Gomez, R., Bryson, A. and Willman, P. 2008. From the Two Faces of Unionism to the Facebook Society: Union Voice in a 21st Century Context, Manpower Human Resources Lab Discussion Paper No. 6. London London School of Economics.
Implementation and second-year impacts for lone parents in the UK Employment Retention and Advancement (ERA) demonstration
Riccio, J.A., Bewley, H., Campbell-Barr, V., Dorsett, R., Hamilton, G., Hoggart, L., Marsh, A., Miller, C., Ray, K. and Vegeris, S. 2008. Implementation and second-year impacts for lone parents in the UK Employment Retention and Advancement (ERA) demonstration. Leeds Corporate Document Services.
Implementation and second-year impacts for New Deal 25 Plus customers in the UK Employment Retention and Advancement (ERA) demonstration
Miller, C., Bewley, H., Campbell-Barr, V., Dorsett, R., Hamilton, G., Hoggart, L., Homonoff, T., Marsh, A., Ray, K., Riccio, J.A. and Vegeris, S. 2008. Implementation and second-year impacts for New Deal 25 Plus customers in the UK Employment Retention and Advancement (ERA) demonstration. Leeds Corporate Document Services.
From the two faces of unionism to the Facebook society: union voice in a twenty-first-century context
Bryson, A., Gomez, R. and Willman, P. 2008. From the two faces of unionism to the Facebook society: union voice in a twenty-first-century context. in: Eaton, A.E. (ed.) Proceedings of the 60th Annual Meeting of the Labor and Employment Relations Association, January 4-6, 2008, New Orleans, Louisiana Champaign, IL LERA. pp. 51-60
The impact of Pathways on benefit receipt in the expansion areas
Bewley, H., Dorsett, R. and Salis, S. 2008. The impact of Pathways on benefit receipt in the expansion areas. Norwich Department for Work and Pensions.
Evidence on the effect of Pathways to Work on existing claimants
Bewley, H., Dorsett, R. and Ratto, M. 2008. Evidence on the effect of Pathways to Work on existing claimants. Leeds Corporate Document Services.
The long goodbye: new establishments and the fall of union voice in Britain
Willman, P., Bryson, A. and Gomez, R. 2007. The long goodbye: new establishments and the fall of union voice in Britain. International Journal of Human Resource Management. 18 (7), pp. 1318-1334. doi:10.1080/09585190701393863
The diffusion of workplace voice and high-commitment human resource management practices in Britain, 1984-1998
Bryson, A., Gomez, R., Kretschmer, T. and Willman, P. 2007. The diffusion of workplace voice and high-commitment human resource management practices in Britain, 1984-1998. Industrial and Corporate Change. 16 (3), pp. 395-426. doi:10.1093/icc/dtm009
Patterns of information disclosure and joint consultation in Great Britain: determinants and outcomes
Peccei, R., Bewley, H., Gospel, H. and Willman, P. 2007. Patterns of information disclosure and joint consultation in Great Britain: determinants and outcomes. London Department of Trade and Industry.
Employee voice and human resource management: an empirical analysis using British data
Bryson, A., Willman, P., Gomez, R. and Kretschmer, T. 2007. Employee voice and human resource management: an empirical analysis using British data. London Policy Studies Institute.
The impact of Pathways to Work
Bewley, H., Dorsett, R. and Haile, G.A. 2007. The impact of Pathways to Work. Leeds, UK Corporate Document Services.
Union organization in Great Britain
Willman, P. and Bryson, A. 2007. Union organization in Great Britain. Journal of Labor Research. 28 (1), pp. 93-115.
Raising the Standard?: The regulation of employment, and public sector employment policy
Bewley, H. 2006. Raising the Standard?: The regulation of employment, and public sector employment policy. British Journal of Industrial Relations. 44 (2), pp. 351-372. doi:10.1111/j.1467-8543.2006.00504.x
The sound of silence: which employers choose no employee voice and why?
Willman, P., Bryson, A. and Gomez, R. 2006. The sound of silence: which employers choose no employee voice and why? Socio-Economic Review. 4 (2), pp. 283-299. doi:10.1093/ser/mwl012
Voice at work...what do employers want?: A symposium summary
Bryson, A., Gomez, R. and Willman, P. 2006. Voice at work...what do employers want?: A symposium summary. Socio-Economic Review. 4 (2), pp. 279-282. doi:10.1093/ser/mwl013
Accounting for Collective Action: Resource Acquisition and Mobilization in British Unions
Willman, P. and Bryson, A. 2006. Accounting for Collective Action: Resource Acquisition and Mobilization in British Unions. London Centre for Economic Performance, LSE.
Voice at work ... what do employers want? A symposium summary
Bryson, A., Gomez, R. and Willman, P. 2006. Voice at work ... what do employers want? A symposium summary. Socio-Economic Review. 4, pp. 279-282. doi:10.1093/ser/mwl013
The longer term outcomes of Work-Based Learning for Adults: evidence from administrative data
Speckesser, S. and Bewley, H. 2006. The longer term outcomes of Work-Based Learning for Adults: evidence from administrative data. Leeds, UK Corporate Document Services.
Small and medium-sized enterprises: findings from the 2004 Workplace Employee Relations Survey
Forth, J., Bewley, H. and Bryson, A. 2006. Small and medium-sized enterprises: findings from the 2004 Workplace Employee Relations Survey. London, UK Department of Trade and Industry.
Inside the workplace: findings from the 2004 workplace employment relations survey
Bryson, A., Kersley, B., Alpin, C., Dix, G., Bewley, H., Forth, J. and Oxenbridge, S. 2006. Inside the workplace: findings from the 2004 workplace employment relations survey. London, UK Routledge.
Bewley, H. 2006. Voice recognition. People Management. 12 (18), pp. 40-43.
Is it good to talk?: Information disclosure and organizational performance in the UK
Peccei, R., Bewley, H., Gospel, H. and Willman, P. 2005. Is it good to talk?: Information disclosure and organizational performance in the UK. British Journal of Industrial Relations. 43 (1), pp. 11-39. doi:10.1111/j.1467-8543.2005.00343.x
The content of new voluntary trade union recognition agreements 1998-2002 - volume 2: findings from the survey of employers
Moore, S., McKay, S. and Bewley, H. 2005. The content of new voluntary trade union recognition agreements 1998-2002 - volume 2: findings from the survey of employers. London, UK DTI.
Joint claims for JSA evaluation: synthesis of findings
Bewley, H., Dorsett, R. and Thomas, A. 2005. Joint claims for JSA evaluation: synthesis of findings. Department for Work and Pensions.
Bewley, H., Dorsett, R. and Thomas, A. 2005. Joint claims for JSA evaluation: synthesis of findings. Leeds, UK Corporate Document Services.
How to score goals
Peccei, R., Bewley, H., Gospel, H. and Willman, P. 2004. How to score goals. CentrePiece. 9 (1), pp. 20-28.
The Content of New Voluntary Trade Union Recognition Agreements 1998-2002: Report of preliminary findings
Moore, S. and Bewley, H. 2004. The Content of New Voluntary Trade Union Recognition Agreements 1998-2002: Report of preliminary findings. London, UK Department of Trade and Industry.
The content of new voluntary trade union recognition agreements 1998-2002: volume one - an analysis of new agreements and case studies
Moore, S., McKay, S. and Bewley, H. 2004. The content of new voluntary trade union recognition agreements 1998-2002: volume one - an analysis of new agreements and case studies. London, UK DTI.
Joint claims for JSA age range extension: quantitative evaluation: survey report
Bewley, H. and Dorsett, R. 2004. Joint claims for JSA age range extension: quantitative evaluation: survey report. Sheffield, UK Department for Work and Pensions.
Peccei, R., Bewley, H., Gospel, H. and Willman, P. 2003. Is it good to talk?: Information disclosure and organizational performance in the UK. London Centre for Economic Performance, LSE.
Why do voice regimes differ?
Willman, P., Bryson, A. and Gomez, R. 2003. Why do voice regimes differ? London Centre for Economic Performance, LSE.
Working Families' Tax Credit and Disabled Person's Tax Credit: a survey of employers
Coleman, N., Peters, M., Bryson, A. and Bewley, H. 2003. Working Families' Tax Credit and Disabled Person's Tax Credit: a survey of employers. London, UK Inland Revenue.
What do unions do for women?
Bewley, H. and Fernie, S. 2003. What do unions do for women? in: Gospel, H. and Wood, S. (ed.) Representing workers: trade union recognition and membership in Britain London, UK Routledge.
Permalink - https://westminsterresearch.westminster.ac.uk/item/9125w/look-who-s-talking-sources-of-variation-in-information-disclosure-in-the-uk


text:
Chapter 1676 Celestial Lightning Body Blink
Long Chen had a truly brazen thought. When he had subdued the Black Illusion Dragon Flame, he had thought of a certain diagram.
That was a diagram he had almost forgotten about. Back in the Eastern Wasteland, he had entered the Immemorial Path and obtained the diagram. He had asked the Eastern Wasteland Bell, but it had refused to tell him too many details, saying that his cultivation base was too low. It merely said it was a kind of essence of one of the four major elements.
Afterward, the Eastern Wasteland Bell had repaid Long Chen for his help and disappeared. The matter of the diagram was left forgotten and unsettled.
However, when he had worked together with the Pill Fairy to subdue the Black Illusion Dragon Flame, he happened to glimpse a diagram on the ceiling of the underground palace. That diagram was somewhat similar to the diagram from the Immemorial Path.
Regretfully, he hadn't had time to record it at that time. Shen Bijun had come, and then the palace had exploded.
However, it had served as a reminder. He was now a Soul Transformation expert and no longer the same rookie as back then. If the Eastern Wasteland Bell refused to tell him, he could try to see if he could understand it himself.
Long Chen found himself a private room. However, before entering seclusion, he moved the divine lightning he had swallowed during his tribulation into the primal chaos space.
Lei Long had never managed to fully refine this divine lightning. However, after being suppressed for so long, the destructive will of the divine lightning had been erased, leaving behind its pure energy for Lei Long to absorb.
Once the lightning was moved, his stomach was free to digest an ocean's worth of medicinal pills. Huo Long was busy refining the Black Illusion Dragon Flame's berserk energy, but Long Chen asked it to first help him refine some Soul Transformation Pills. To raise his cultivation base, he would need a huge amount of medicinal pills.
Suddenly, Long Chen thought of the jade tablet he had obtained in the Jade Lake Sacred Land around the time he had killed Wang Shan. He had yet to investigate it.
"Celestial Lightning Body Blink? It's actually a lightning attribute movement art."
Long Chen was stunned. What was recorded in the jade tablet was an extremely ancient lightning movement art. By summoning the power of heavenly lightning to form a lightning domain, you could freely blink anywhere inside with just a thought. There were basically no spatial or temporal limits.
"Damn, I've actually obtained a similar movement art as the human-shaped lightning right before the Devil Abyss erupts?" Back when the Xuantian Dao Sect's Infernal Devil Abyss had erupted, Long Chen had summoned his heavenly tribulation to block the tide.
In the end, there was a certain human-shaped lightning that had appeared. Its speed had been incredible, and it was only thanks to a reminder from Li Tianxuan that he had managed to defeat it.
This movement art recorded in the jade tablet might be a different method, but it had the same result. By filling the space around him with thunderforce, he would arrange spiritual runes that could each be used as a tiny lightning transportation formation. In truth, this kind of ability wasn't speed-based. It depended on using a kind of spatial law.
Previously, in order to raise his speed to its peak, he had come up with his own technique and called it the Lightning Flash Step.
He filled a space with thunderforce, however, his technique relied on creating spatial faults and then charging through those openings to appear in a corresponding exit within a three-thousand-meter area. Back in the Grand Han, he had used the Lightning Flash Step to kill Sha Guangyan and Ye Qingkuang.
However, not only was the Lightning Flash Step's range limited, but when he encountered true experts who were unleashing all their power, their power would compact space and make any spatial faults he made unstable, so he couldn't use it.
On the other hand, the Celestial Lightning Body Blink formed a network of spatial channels with lightning runes. It was like a giant web with runic nodes that he could freely move through. Seeing this technique, he finally understood why that human-shaped lightning had been so difficult to deal with.
"The wisdom of the ancients truly isn't something I can compare to. I didn't even think of such a method. I'm so stupid." Long Chen was filled with admiration and shame.
He had wracked his brain before, but had never thought of using lightning runes to form spatial channels to increase his speed. This Celestial Lightning Body Blink was like a light in the dark. It was like he was seeing a whole new sky. It was extremely enlightening to him.
"I really struck gold this time. That bastard Wang Shan, I suppose he did at least one good thing before dying." Long Chen couldn't help sighing emotionally. If it hadn't been for Wang Shan, he wouldn't have obtained this jade tablet. When it came to killing someone innocent to take their treasure, he really couldn't do it.
The more he studied this technique, the greater his admiration for the creator grew. At the same time, he realized that creating any masterful magical art required being skilled in many different areas.
This Celestial Lightning Body Blink, at the very least, involved changes in thunderforce, cooperation with Spiritual Strength, comprehension of spatial magical arts, and the principles of establishing a formation. A magical art that had truly reached the pinnacle required endless revision, effort, and great intelligence.
The Celestial Lightning Body Blink could only be used by lightning cultivators, and any other lightning cultivator would require a long time to train in it. However, Long Chen instantly mastered it due to his previous research into the Lightning Flash Step. There were definite similarities between them, allowing him to learn it easier. Furthermore, his Spiritual Strength was so vast that he didn't need to slowly and carefully steady each part of it for fear of his Spiritual Strength running out midway and having the magical art explode in his face like others.
There was also one other aspect that made it so easy to learn, and that was that his thunderforce came from Lei Long. Lei Long could help him control his thunderforce. In truth, it would be Lei Long creating the lightning formation, and he just had to know how to use it. It could not be simpler for him.
Long Chen handed the Celestial Lightning Body Blink to Lei Long and had it go study it. When the time came, he would just have to have his Spiritual Strength coordinate with it. This kind of lazy method was something that would make other lightning cultivators die of envy. It was practically as easy as eating a meal for Long Chen.
After tossing the Celestial Lightning Body Blink to Lei Long, Long Chen took out that strange rune from the Immemorial Path. It was a strange octagonal diagram. Eight lines merged together in the center to form a central circle. There were also other thin lines coming out of the exterior and spinning around it, like waves of divine light.
Before, Long Chen couldn't understand anything about it. However, now he felt his aura gathering just by looking at it.
"It's too bad my cultivation base was too low to understand this rune's meaning when I saw it back then. Now, just looking at this recording of it, it's much harder to understand its essence," sighed Long Chen.
A ball of fire appeared in Long Chen's hand. Flame runes condensed together as Long Chen tried to imitate the design of the diagram. When it was done, he suddenly felt an invisible energy concentrating at the center. It was like streams of power were gathering together.
The flame rune in his hand exploded, and its immense power made his hand shake.
"This is…" Long Chen was startled. He had just used the slightest trace of flame energy, but its explosive power had been so immense. "The Eastern Wasteland Bell said that it was the will of one of the four major elements. It seems it's the fire element. Fire. Fire can burn down the heavens and the earth. It is berserk and merciless. Energy gathers within and then explodes outward. When condensed, it can refine the sky and the land, when scattered it can destroy stars. Between the two is a cycle of energy. Gather energy to one point, and when the energy reaches its peak, release it in an instant to exterminate all life…"
Long Chen seemed to be sleep-talking as he faced this enlightenment. The flame rune once again condensed in his hand, but this time he was prepared and examined it closely.
He found that when this rune was condensed, it formed a strange cycle. Without him needing to do anything, it seemed to possess its own life, absorbing energy from the air. Eight streams of energy gathered toward the central point. There were several bright spots at the center like the pistils of a flower, absorbing that energy. A portion of the energy then flowed down and out toward the edges once more, as if this one rune was its own flame world, a cycle of energy in constant motion.
The first time he had summoned it, his energy hadn't been stable enough, causing it to lose its balance and explode. This time, he found the trick and maintained its stability. He carefully observed its motion.
"So, as soon as its form is born, it will naturally absorb flame energy to strengthen itself. Just what level of magical art is this? Or is it even a magical art?" Long Chen suddenly found that even without him pouring in any energy, the rune simply floated in the sky and continued to grow larger and stronger.
It was no wonder the Eastern Wasteland Bell had only told him that it represented one of the four major elements. Without a high enough realm, there was simply no way a person could understand it.
Even Long Chen could only tell that the things he was saying were true. He didn't know the why or the how of it. Even at the Soul Transformation realm, with his immense control over other magical arts, he couldn't fully comprehend this rune.
"It seems to just be a profound law, not a magical art. However, it's even more precious than a hundred or even a thousand magical arts. As long as I can understand it, I will know how to circulate my flame energy in the best possible manner."
Long Chen smiled. So this rune was even better than a magical art. If a magical art was like a precious medicinal ingredient, then this divine rune was the fertile soil from which amazing medicines could be grown. If he properly used this soil, it would benefit him endlessly.
"I should try to see if I can make my own magical art." Long Chen suddenly had a thought.
He carefully examined the flame rune in his hand. Looking at the way it circulated, he poured in eight streams of flame energy. The rune instantly transformed, taking on the shape of an eight-petaled lotus flower.
However, as soon as this lotus flower appeared, it exploded. Long Chen's smile grew brighter. "No, I was wrong. Perhaps this rune is the embryonic form of a magical art. Maybe, I really can make a magical art that belongs solely to myself with it."
Long Chen took a deep breath and concentrated. He began experimenting with the divine rune, testing what shape he could turn it into.

redpajama_set_name: RedPajamaCommonCrawl


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Check out these pictures a customer sent of us his Bible, before and after he treated it with Leather Honey. The difference is almost unbelievable.
The post Before and After: A Leather Bible appeared first on Leather Honey.


text:
Daniel "Danny" Smith är en exekutiv producent, manusförfattare och röstskådespelare för den amerikanska animerade TV-serien Family Guy.

Karriären

Family Guy
Smith har varit med sedan starten av showen och genom åren har han bidragit till flera avsnitt, såsom "Holy crap", "Father, Son and the Holy Fonz", "Chitty Chitty Death Bang" och de speciella jul-temaavsnitten "Road to North Pole" och "A Very Special Family Guy Freakin Christmas".

Smith är den enda av Family Guys medarbetare som verkligen kommer från Rhode Island, där seriens fiktiva hemstad Quahog ligger, och spelade därför en viktig roll när stadens utseende i den animerade världen tog form.

Smith har förutom manusskrivandet också gjort några av seriens röster; bland andra för Ernie the Giant Chicken, Buzz Killington och The Evil Monkey.

Övriga serier
Som den erfarne sitcom-författare han är, har Smith skrivit för flera andra TV-shower såsom Tredje klotet från solen, Omaka systrar och Head of the Class.

Referenser

Externa länkar

Amerikanska röstskådespelare
Amerikanska manusförfattare
Personer i USA under 1900-talet
Personer i USA under 2000-talet
Författare från Rhode Island
Födda 1959
Levande personer
Män

redpajama_set_name: RedPajamaWikipedia


text:
using System;
using System.Collections.Generic;
using System.Runtime.InteropServices;
using System.Text;
using OpenCvSharp.Utilities;

namespace OpenCvSharp
{
#if LANG_JP
    /// <summary>
    /// 多次元ヒストグラムの構造体
    /// </summary>
#else
    /// <summary>
    /// Muti-dimensional histogram
    /// </summary>
#endif
    public class CvHistogram : DisposableCvObject
    {
        /// <summary>
        /// Track whether Dispose has been called
        /// </summary>
        private bool disposed = false;

        #region Initialization and Disposal
#if LANG_JP
        /// <summary>
        /// CvHistogram構造体の分のメモリ領域を確保して初期化
        /// </summary>
#else
        /// <summary>
        /// Creates an empty histogram
        /// </summary>
#endif
        public CvHistogram()
        {
            ptr = AllocMemory(SizeOf);
        }
#if LANG_JP
        /// <summary>
        ///
        /// </summary>
#else
        /// <summary>
        /// Creates a histogram from pointer
        /// </summary>
#endif
        public CvHistogram(IntPtr ptr)
        {
            this.ptr = ptr;
        }
#if LANG_JP
        /// <summary>
        /// 指定サイズのヒストグラムを生成し,そのヒストグラムの参照を返す.
        /// </summary>
        /// <param name="sizes">ヒストグラム各次元のサイズを示す配列</param>
        /// <param name="type">ヒストグラム表現フォーマット</param>
#else
        /// <summary>
        /// Creates a histogram of the specified size and returns the pointer to the created histogram.
        /// </summary>
        /// <param name="sizes">Number of histogram dimensions. </param>
        /// <param name="type">Histogram representation format.</param>
        /// <returns></returns>
#endif
        public CvHistogram(int[] sizes, HistogramFormat type)
            : this(sizes, type, null, true)
        {
        }
#if LANG_JP
        /// <summary>
        /// 指定サイズのヒストグラムを生成し,そのヒストグラムの参照を返す.
        /// </summary>
        /// <param name="sizes">ヒストグラム各次元のサイズを示す配列</param>
        /// <param name="type">ヒストグラム表現フォーマット</param>
        /// <param name="ranges">ヒストグラムのビン(bin)(値域)を示す配列.このパラメータの意味はパラメータuniformに依存している.
        /// このレンジは,ヒストグラムを計算したり,またどのヒストグラムのビンが入力画像のどの値やどのデータ要素に対応するかを決めるためのバックプロジェクションで用いられる.
        /// null の場合は,後から関数 cvSetHistBinRanges を用いて決定される.</param>
#else
        /// <summary>
        /// Creates a histogram of the specified size and returns the pointer to the created histogram.
        /// </summary>
        /// <param name="sizes">Number of histogram dimensions. </param>
        /// <param name="type">Histogram representation format.</param>
        /// <param name="ranges">Array of ranges for histogram bins. Its meaning depends on the uniform parameter value. The ranges are used for when histogram is calculated or backprojected to determine, which histogram bin corresponds to which value/tuple of values from the input image[s]. </param>
        /// <returns></returns>
#endif
        public CvHistogram(int[] sizes, HistogramFormat type, float[][] ranges)
            : this(sizes, type, ranges, true)
        {
        }
#if LANG_JP
        /// <summary>
        /// 指定サイズのヒストグラムを生成し,そのヒストグラムの参照を返す.
        /// </summary>
        /// <param name="sizes">ヒストグラム各次元のサイズを示す配列</param>
        /// <param name="type">ヒストグラム表現フォーマット</param>
        /// <param name="ranges">ヒストグラムのビン(bin)(値域)を示す配列.このパラメータの意味はパラメータuniformに依存している.
        /// このレンジは,ヒストグラムを計算したり,またどのヒストグラムのビンが入力画像のどの値やどのデータ要素に対応するかを決めるためのバックプロジェクションで用いられる.
        /// null の場合は,後から関数 cvSetHistBinRanges を用いて決定される.</param>
        /// <param name="uniform">一様性に関するフラグ</param>
#else
        /// <summary>
        /// Creates a histogram of the specified size and returns the pointer to the created histogram.
        /// </summary>
        /// <param name="sizes">Number of histogram dimensions. </param>
        /// <param name="type">Histogram representation format.</param>
        /// <param name="ranges">Array of ranges for histogram bins. Its meaning depends on the uniform parameter value. The ranges are used for when histogram is calculated or backprojected to determine, which histogram bin corresponds to which value/tuple of values from the input image[s]. </param>
        /// <param name="uniform">Uniformity flag.</param>
#endif
        public CvHistogram(int[] sizes, HistogramFormat type, float[][] ranges, bool uniform)
        {
            if (sizes == null)
                throw new ArgumentNullException(nameof(sizes));

            if (ranges == null)
            {
                ptr = NativeMethods.cvCreateHist(sizes.Length, sizes, type, IntPtr.Zero, uniform);
            }
            else
            {
                // float[][]をIntPtr[]に変換する
                using (var rangesPtr = new ArrayAddress2<float>(ranges))
                {
                    ptr = NativeMethods.cvCreateHist(sizes.Length, sizes, type, rangesPtr.Pointer, uniform);
                }
            }
            if (ptr == IntPtr.Zero)
            {
                throw new OpenCvSharpException("Failed to create CvHistogram");
            }

            if (ranges != null)
            {
                SetBinRanges(ranges, uniform);
            }
            Type = type;
        }

#if LANG_JP
        /// <summary>
        /// リソースの解放
        /// </summary>
        /// <param name="disposing">
        /// trueの場合は、このメソッドがユーザコードから直接が呼ばれたことを示す。マネージ・アンマネージ双方のリソースが解放される。
        /// falseの場合は、このメソッドはランタイムからファイナライザによって呼ばれ、もうほかのオブジェクトから参照されていないことを示す。アンマネージリソースのみ解放される。
        ///</param>
#else
        /// <summary>
        /// Clean up any resources being used.
        /// </summary>
        /// <param name="disposing">
        /// If disposing equals true, the method has been called directly or indirectly by a user's code. Managed and unmanaged resources can be disposed.
        /// If false, the method has been called by the runtime from inside the finalizer and you should not reference other objects. Only unmanaged resources can be disposed.
        /// </param>
#endif
        protected override void Dispose(bool disposing)
        {
            if (!disposed)
            {
                try
                {
                    if (disposing)
                    {
                    }
                    if (IsEnabledDispose)
                    {
                        NativeMethods.cvReleaseHist(ref ptr);
                    }
                    disposed = true;
                }
                finally
                {
                    base.Dispose(disposing);
                }
            }
        }
        #endregion

        #region Properties
        /// <summary>
        /// sizeof(CvHistogram)
        /// </summary>
        public static readonly int SizeOf = Marshal.SizeOf(typeof(WCvHistogram));

#if LANG_JP
        /// <summary>
        /// ヒストグラム表現フォーマットを取得する.
        /// </summary>
#else
        /// <summary>
        /// Histogram representation format
        /// </summary>
#endif
        public HistogramFormat Type
        {
            get;
            private set;
        }
#if LANG_JP
        /// <summary>
		/// ヒストグラムのビン(値域)を取得する.
		/// TypeがArrayならCvMatND, SparseならCvSparseMatが返される.
		/// </summary>
#else
        /// <summary>
        /// Histogram bins.
        /// if Type == Array then returns CvMatND, else if Type == Sparse then CvSparseMat
        /// </summary>
#endif
        public CvArr Bins
        {
            get
            {
                IntPtr bins;
                unsafe
                {
                    bins = new IntPtr(((WCvHistogram*)ptr)->bins);
                }
                switch (Type)
                {
                    case HistogramFormat.Array:
                        return new CvMatND(bins, false);
                    case HistogramFormat.Sparse:
                        return new CvSparseMat(bins, false);
                    default:
                        return null;
                }
            }
        }
#if LANG_JP
        /// <summary>
		/// ヒストグラムのビン(値域)を取得する.
		/// TypeがArrayならCvMatND, SparseならCvSparseMatが返される.
		/// </summary>
#else
        /// <summary>
        /// Histogram bins.
        /// if Type == Array then returns CvMatND, else if Type == Sparse then CvSparseMat
        /// </summary>
#endif
        public IntPtr BinsPtr
        {
            get
            {
                unsafe
                {
                    return new IntPtr(((WCvHistogram*)ptr)->bins);
                }
            }
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムの次元
        /// </summary>
#else
        /// <summary>
        /// Number of histogram dimensions.
        /// </summary>
#endif
        public int Dim
        {
            get
            {
                unsafe
                {
                    return ((WCvHistogram*)ptr)->mat.dims;
                }
            }
        }
#if LANG_JP
        /// <summary>
        /// For uniform histograms (thresh).
        /// </summary>
#else
        /// <summary>
        /// For uniform histograms (thresh).
        /// </summary>
#endif
        public PointerAccessor1D_Single Thresh1
        {
            get
            {
                unsafe
                {
                    float* p = ((WCvHistogram*)ptr)->thresh;
                    return new PointerAccessor1D_Single(p);
                }
            }
        }
#if LANG_JP
        /// <summary>
        /// For non-uniform histograms..
        /// </summary>
#else
        /// <summary>
        /// For non-uniform histograms.
        /// </summary>
#endif
        public PointerAccessor2D_Single Thresh2
        {
            get
            {
                unsafe
                {
                    float** p = ((WCvHistogram*)ptr)->thresh2;
                    return new PointerAccessor2D_Single(p);
                }
            }
        }
        #endregion

        #region Methods
        #region Calc
#if LANG_JP
        /// <summary>
        /// 1つの画像のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像</param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source image.</param>
#endif
        public void Calc(IplImage image)
        {
            Cv.CalcHist(image, this);
        }
#if LANG_JP
        /// <summary>
        /// 1つの画像のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない. </param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source image.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
#endif
        public void Calc(IplImage image, bool accumulate)
        {
            Cv.CalcHist(image, this, accumulate, null);
        }
#if LANG_JP
        /// <summary>
        /// 1つの画像のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない.</param>
        /// <param name="mask">処理マスク.入力画像中のどのピクセルをカウントするかを決定する.</param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source image.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
        /// <param name="mask">The operation mask, determines what pixels of the source images are counted. </param>
#endif
        public void Calc(IplImage image, bool accumulate, CvArr mask)
        {
            Cv.CalcHist(image, this, accumulate, mask);
        }
#if LANG_JP
        /// <summary>
        /// 画像群のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像群.全て同じサイズ・タイプ.</param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source images, all are of the same size and type.</param>
#endif
        public void Calc(IplImage[] image)
        {
            Cv.CalcHist(image, this);
        }
#if LANG_JP
        /// <summary>
        /// 画像群のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像群.全て同じサイズ・タイプ.</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない. </param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source images, all are of the same size and type.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
#endif
        public void Calc(IplImage[] image, bool accumulate)
        {
            Cv.CalcHist(image, this, accumulate, null);
        }
#if LANG_JP
        /// <summary>
        /// 画像群のヒストグラムを計算する (cvCalcHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="image">入力画像群.全て同じサイズ・タイプ.</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない. </param>
        /// <param name="mask">処理マスク.入力画像中のどのピクセルをカウントするかを決定する.</param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="image">Source images, all are of the same size and type.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
        /// <param name="mask">The operation mask, determines what pixels of the source images are counted. </param>
#endif
        public void Calc(IplImage[] image, bool accumulate, CvArr mask)
        {
            Cv.CalcHist(image, this, accumulate, mask);
        }
        #endregion
        #region CalcArr
#if LANG_JP
        /// <summary>
        /// 1つの配列のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列</param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">A Source image (though, you may pass CvMat** as well).</param>
#endif
        public void CalcArr(CvArr arr)
        {
            Cv.CalcArrHist(arr, this);
        }
#if LANG_JP
        /// <summary>
        /// 1つの配列のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない.</param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">A Source image (though, you may pass CvMat** as well).</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
#endif
        public void CalcArr(CvArr arr, bool accumulate)
        {
            Cv.CalcArrHist(arr, this, accumulate, null);
        }
#if LANG_JP
        /// <summary>
        /// 1つの配列のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない.</param>
        /// <param name="mask">処理マスク.入力画像中のどのピクセルをカウントするかを決定する.</param>
#else
        /// <summary>
        /// Calculates the histogram of one single-channel image.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">A Source image (though, you may pass CvMat** as well).</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
        /// <param name="mask">The operation mask, determines what pixels of the source images are counted. </param>
#endif
        public void CalcArr(CvArr arr, bool accumulate, CvArr mask)
        {
            Cv.CalcArrHist(arr, this, accumulate, mask);
        }
#if LANG_JP
        /// <summary>
        /// 配列群のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列群.全て同じサイズ・タイプ.</param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">Source images (though, you may pass CvMat** as well), all are of the same size and type.</param>
#endif
        public void CalcArr(CvArr[] arr)
        {
            Cv.CalcArrHist(arr, this);
        }
#if LANG_JP
        /// <summary>
        /// 配列群のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列群.全て同じサイズ・タイプ.</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない. </param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">Source images (though, you may pass CvMat** as well), all are of the same size and type.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
#endif
        public void CalcArr(CvArr[] arr, bool accumulate)
        {
            Cv.CalcArrHist(arr, this, accumulate, null);
        }
#if LANG_JP
        /// <summary>
        /// 配列群のヒストグラムを計算する (cvCalcArrHist相当).
        /// ヒストグラムのビンを増加(インクリメント)するために用いられるタプルの各要素は, 対応する入力画像群の同じ場所から取り出される.
        /// </summary>
        /// <param name="arr">入力配列群.全て同じサイズ・タイプ.</param>
        /// <param name="accumulate">計算フラグ.セットされている場合は,ヒストグラムは処理前には最初にクリアされない. </param>
        /// <param name="mask">処理マスク.入力画像中のどのピクセルをカウントするかを決定する.</param>
#else
        /// <summary>
        /// Calculates the histogram of single-channel images.
        /// The elements of a tuple that is used to increment a histogram bin are taken at the same location from the corresponding input images.
        /// </summary>
        /// <param name="arr">Source images (though, you may pass CvMat** as well), all are of the same size and type.</param>
        /// <param name="accumulate">Accumulation flag. If it is set, the histogram is not cleared in the beginning. This feature allows user to compute a single histogram from several images, or to update the histogram online. </param>
        /// <param name="mask">The operation mask, determines what pixels of the source images are counted. </param>
#endif
        public void CalcArr(CvArr[] arr, bool accumulate, CvArr mask)
        {
            Cv.CalcArrHist(arr, this, accumulate, mask);
        }
        #endregion
        #region CalcArrBackProject
#if LANG_JP
        /// <summary>
        /// バックプロジェクションの計算を行う
        /// </summary>
        /// <param name="image">入力画像群</param>
        /// <param name="backProject">出力のバックプロジェクション画像.入力画像群と同じタイプ.</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Calculates back projection
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="backProject">Destination back projection image of the same type as the source images. </param>
        /// <returns></returns>
#endif
        public void CalcArrBackProject(CvArr[] image, CvArr backProject)
        {
            Cv.CalcArrBackProject(image, backProject, this);
        }
#if LANG_JP
        /// <summary>
        /// バックプロジェクションの計算を行う
        /// </summary>
        /// <param name="image">入力画像群</param>
        /// <param name="backProject">出力のバックプロジェクション画像.入力画像群と同じタイプ.</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Calculates back projection
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="backProject">Destination back projection image of the same type as the source images. </param>
        /// <returns></returns>
#endif
        public void CalcBackProject(IplImage[] image, CvArr backProject)
        {
            Cv.CalcBackProject(image, backProject, this);
        }
        #endregion
        #region CalcArrBackProjectPatch
#if LANG_JP
        /// <summary>
        /// ヒストグラムの比較に基づき画像内部でのテンプレート位置を求める
        /// </summary>
        /// <param name="image">入力画像群( CvMat** 形式でも構わない).すべて同じサイズ.</param>
        /// <param name="dst">出力画像</param>
        /// <param name="patchSize">入力画像群上をスライドさせるテンプレートのサイズ</param>
        /// <param name="method">比較方法.値は関数 cvCompareHist に渡される(この関数に関する記述を参照)</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Locates a template within image by histogram comparison
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="dst">Destination image. </param>
        /// <param name="patchSize">Size of patch slid though the source images. </param>
        /// <param name="method">Compasion method, passed to cvCompareHist (see description of that function). </param>
        /// <returns></returns>
#endif
        public void CalcArrBackProjectPatch(CvArr[] image, CvArr dst, CvSize patchSize, HistogramComparison method)
        {
            Cv.CalcArrBackProjectPatch(image, dst, patchSize, this, method);
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムの比較に基づき画像内部でのテンプレート位置を求める
        /// </summary>
        /// <param name="image">入力画像群( CvMat** 形式でも構わない).すべて同じサイズ.</param>
        /// <param name="dst">出力画像</param>
        /// <param name="patchSize">入力画像群上をスライドさせるテンプレートのサイズ</param>
        /// <param name="method">比較方法.値は関数 cvCompareHist に渡される(この関数に関する記述を参照)</param>
        /// <param name="factor">ヒストグラムの正規化係数.出力画像の正規化スケールに影響する.値に確信がない場合は,1にする.</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Locates a template within image by histogram comparison
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="dst">Destination image. </param>
        /// <param name="patchSize">Size of patch slid though the source images. </param>
        /// <param name="method">Compasion method, passed to cvCompareHist (see description of that function). </param>
        /// <param name="factor">Normalization factor for histograms, will affect normalization scale of destination image, pass 1. if unsure. </param>
        /// <returns></returns>
#endif
        public void CalcArrBackProjectPatch(CvArr[] image, CvArr dst, CvSize patchSize, HistogramComparison method, float factor)
        {
            Cv.CalcArrBackProjectPatch(image, dst, patchSize, this, method, factor);
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムの比較に基づき画像内部でのテンプレート位置を求める
        /// </summary>
        /// <param name="image">入力画像群( CvMat** 形式でも構わない).すべて同じサイズ.</param>
        /// <param name="dst">出力画像</param>
        /// <param name="patchSize">入力画像群上をスライドさせるテンプレートのサイズ</param>
        /// <param name="method">比較方法.値は関数 cvCompareHist に渡される(この関数に関する記述を参照)</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Locates a template within image by histogram comparison
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="dst">Destination image. </param>
        /// <param name="patchSize">Size of patch slid though the source images. </param>
        /// <param name="method">Compasion method, passed to cvCompareHist (see description of that function). </param>
        /// <returns></returns>
#endif
        public void CalcBackProjectPatch(CvArr[] image, CvArr dst, CvSize patchSize, HistogramComparison method)
        {
            Cv.CalcArrBackProjectPatch(image, dst, patchSize, this, method);
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムの比較に基づき画像内部でのテンプレート位置を求める
        /// </summary>
        /// <param name="image">入力画像群( CvMat** 形式でも構わない).すべて同じサイズ.</param>
        /// <param name="dst">出力画像</param>
        /// <param name="patchSize">入力画像群上をスライドさせるテンプレートのサイズ</param>
        /// <param name="method">比較方法.値は関数 cvCompareHist に渡される(この関数に関する記述を参照)</param>
        /// <param name="factor">ヒストグラムの正規化係数.出力画像の正規化スケールに影響する.値に確信がない場合は,1にする.</param>
        /// <returns></returns>
#else
        /// <summary>
        /// Locates a template within image by histogram comparison
        /// </summary>
        /// <param name="image">Source images (though you may pass CvMat** as well), all are of the same size and type </param>
        /// <param name="dst">Destination image. </param>
        /// <param name="patchSize">Size of patch slid though the source images. </param>
        /// <param name="method">Compasion method, passed to cvCompareHist (see description of that function). </param>
        /// <param name="factor">Normalization factor for histograms, will affect normalization scale of destination image, pass 1. if unsure. </param>
        /// <returns></returns>
#endif
        public void CalcBackProjectPatch(CvArr[] image, CvArr dst, CvSize patchSize, HistogramComparison method, float factor)
        {
            Cv.CalcArrBackProjectPatch(image, dst, patchSize, this, method, factor);
        }
        #endregion
        #region CalcBayesianProb
#if LANG_JP
        /// <summary>
        /// Calculates bayesian probabilistic histograms
        /// </summary>
        /// <param name="src"></param>
        /// <param name="dst"></param>
#else
        /// <summary>
        /// Calculates bayesian probabilistic histograms
        /// </summary>
        /// <param name="src"></param>
        /// <param name="dst"></param>
#endif
        public static void CalcBayesianProb(CvHistogram[] src, CvHistogram[] dst)
        {
            Cv.CalcBayesianProb(src, dst);
        }
        #endregion
        #region CalcProbDensity
#if LANG_JP
        /// <summary>
        /// 一つのヒストグラムをもう一方のヒストグラムで割る (cvCalcProbDensity相当).
        /// </summary>
        /// <param name="hist1">一番目のヒストグラム(除数)</param>
        /// <param name="hist2">二番目のヒストグラム</param>
        /// <param name="dstHist">出力ヒストグラム</param>
#else
        /// <summary>
        /// Divides one histogram by another.
        /// </summary>
        /// <param name="hist1">first histogram (the divisor). </param>
        /// <param name="hist2">second histogram. </param>
        /// <param name="dstHist">destination histogram. </param>
#endif
        public static void CalcProbDensity(CvHistogram hist1, CvHistogram hist2, CvHistogram dstHist)
        {
            Cv.CalcProbDensity(hist1, hist2, dstHist);
        }
#if LANG_JP
        /// <summary>
        /// 一つのヒストグラムをもう一方のヒストグラムで割る (cvCalcProbDensity相当).
        /// </summary>
        /// <param name="hist1">一番目のヒストグラム(除数)</param>
        /// <param name="hist2">二番目のヒストグラム</param>
        /// <param name="dstHist">出力ヒストグラム</param>
        /// <param name="scale">出力ヒストグラムのスケール係数</param>
#else
        /// <summary>
        /// Divides one histogram by another.
        /// </summary>
        /// <param name="hist1">first histogram (the divisor). </param>
        /// <param name="hist2">second histogram. </param>
        /// <param name="dstHist">destination histogram. </param>
        /// <param name="scale">scale factor for the destination histogram. </param>
#endif
        public static void CalcProbDensity(CvHistogram hist1, CvHistogram hist2, CvHistogram dstHist, double scale)
        {
            Cv.CalcProbDensity(hist1, hist2, dstHist, scale);
        }
        #endregion
        #region Clear
#if LANG_JP
        /// <summary>
        /// ヒストグラムをクリアする (cvClearHist).
        /// 密なヒストグラムの場合,全てのヒストグラムのビンを0にセットする, また疎なヒストグラムの場合は,すべてのヒストグラムのビンを削除する.
        /// </summary>
#else
        /// <summary>
        /// Sets all histogram bins to 0 in case of dense histogram and removes all histogram bins in case of sparse array.
        /// </summary>
#endif
        public void Clear()
        {
            Cv.ClearHist(this);
        }
        #endregion
        #region Compare
#if LANG_JP
        /// <summary>
        /// 2つの密なヒストグラムを比較する (cvCompareHist相当).
        /// 疎なヒストグラム,あるいは重み付けされた点が集まったような,より一般的な構造を比較するためには,関数cvCalcEMD2 を用いる方が良い場合もある.
        /// </summary>
        /// <param name="hist">比較対象の密なヒストグラム</param>
        /// <param name="method">比較手法</param>
#else
        /// <summary>
        /// Compares two dense histograms.
        /// </summary>
        /// <param name="hist">target histogram</param>
        /// <param name="method">Comparison method.</param>
        /// <returns></returns>
#endif
        public double Compare(CvHistogram hist, HistogramComparison method)
        {
            if (hist == null)
            {
                throw new ArgumentNullException(nameof(hist));
            }
            return NativeMethods.cvCompareHist(ptr, hist.CvPtr, method);
        }
        #endregion
        #region Copy
#if LANG_JP
        /// <summary>
        /// ヒストグラムのコピーを作成する (cvCopyHist相当).
        /// コピー先のヒストグラムへのポインタdstがnullの場合は,srcと同じサイズの新しいヒストグラムが作成される.
        /// それ以外の場合は,二つのヒストグラムは同一タイプ,サイズでないといけない.
        /// この関数はコピー元のヒストグラムのビンの値を,コピー先にコピーし, src内に定義されているのと同じビンの値域をセットする.
        /// </summary>
        /// <param name="dst">コピー先のヒストグラムへのポインタ. </param>
#else
        /// <summary>
        /// Makes a copy of the histogram.
        /// If the second histogram dst is null, a new histogram of the same size as src is created.
        /// Otherwise, both histograms must have equal types and sizes.
        /// Then the function copies the source histogram bins values to destination histogram and sets the same bin values ranges as in src.
        /// </summary>
        /// <param name="dst">Reference to destination histogram. </param>
#endif
        public void Copy(CvHistogram dst)
        {
            Cv.CopyHist(this, ref dst);
        }
        #endregion
        #region GetValue*D
#if LANG_JP
        /// <summary>
        /// 1次元ヒストグラムの指定されたビンへのポインタを返す.
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <returns>指定した要素のポインタ</returns>
#else
        /// <summary>
        /// Returns pointer to histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <returns></returns>
#endif
        public IntPtr GetValue1D(int idx0)
        {
            return Cv.GetHistValue_1D(this, idx0);
        }
#if LANG_JP
        /// <summary>
        /// 2次元ヒストグラムの指定されたビンへのポインタを返す.
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <param name="idx1">要素インデックスの,0を基準とした第2成分.</param>
        /// <returns>指定した要素のポインタ</returns>
#else
        /// <summary>
        /// Returns pointer to histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <param name="idx1">2rd index of the bin.</param>
        /// <returns></returns>
#endif
        public IntPtr GetValue2D(int idx0, int idx1)
        {
            return Cv.GetHistValue_2D(this, idx0, idx1);
        }
#if LANG_JP
        /// <summary>
        /// 3次元ヒストグラムの指定されたビンへのポインタを返す.
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <param name="idx1">要素インデックスの,0を基準とした第2成分.</param>
        /// <param name="idx2">要素インデックスの,0を基準とした第3成分.</param>
        /// <returns>指定した要素のポインタ</returns>
#else
        /// <summary>
        /// Returns pointer to histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <param name="idx1">2nd index of the bin.</param>
        /// <param name="idx2">3rd index of the bin.</param>
        /// <returns></returns>
#endif
        public IntPtr GetValue3D(int idx0, int idx1, int idx2)
        {
            return Cv.GetHistValue_3D(this, idx0, idx1, idx2);
        }
#if LANG_JP
        /// <summary>
        /// n次元ヒストグラムの指定されたビンへのポインタを返す.
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx">要素インデックスの配列(可変長引数)</param>
        /// <returns>指定した要素のポインタ</returns>
#else
        /// <summary>
        /// Returns pointer to histogram bin.
        /// </summary>
        /// <param name="idx">Indices of the bin. </param>
        /// <returns></returns>
#endif
        public IntPtr GetValueND(params int[] idx)
        {
            return Cv.GetHistValue_nD(this, idx);
        }
        #endregion
        #region GetMinMaxValue
#if LANG_JP
        /// <summary>
        /// ヒストグラムのビンの最小値/最大値を求める (cvGetMinMaxHistValue相当).
        /// 同じ値の最大値や最小値が複数存在する場合,辞書順に並べたときに最も先頭になるインデックスが返される.
        /// </summary>
        /// <param name="minValue">ヒストグラムの最小値の出力</param>
        /// <param name="maxValue">ヒストグラムの最大値の出力</param>
#else
        /// <summary>
        /// Finds minimum and maximum histogram bins.
        /// </summary>
        /// <param name="minValue">The minimum value of the histogram.</param>
        /// <param name="maxValue">The maximum value of the histogram.</param>
#endif
        public void GetMinMaxValue(out float minValue, out float maxValue)
        {
            Cv.GetMinMaxHistValue(this, out minValue, out maxValue);
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムのビンの最小値/最大値とそれらの場所を求める (cvGetMinMaxHistValue相当).
        /// 同じ値の最大値や最小値が複数存在する場合,辞書順に並べたときに最も先頭になるインデックスが返される.
        /// </summary>
        /// <param name="minValue">ヒストグラムの最小値の出力</param>
        /// <param name="maxValue">ヒストグラムの最大値の出力</param>
        /// <param name="minIdx">最小値の配列中のインデックスの出力</param>
        /// <param name="maxIdx">最大値の配列中のインデックスの出力</param>
#else
        /// <summary>
        /// Finds minimum and maximum histogram bins.
        /// </summary>
        /// <param name="minValue">The minimum value of the histogram.</param>
        /// <param name="maxValue">The maximum value of the histogram.</param>
        /// <param name="minIdx">The array of coordinates for minimum.</param>
        /// <param name="maxIdx">The array of coordinates for maximum.</param>
#endif
        public void GetMinMaxValue(out float minValue, out float maxValue, out int[] minIdx, out int[] maxIdx)
        {
            Cv.GetMinMaxHistValue(this, out minValue, out maxValue, out minIdx, out maxIdx);
        }
        #endregion
        #region Normalize
#if LANG_JP
        /// <summary>
        /// ヒストグラムの正規化を行う (cvNormalizeHist相当).
        /// ビンの値の合計が factor に等しくなるようにスケーリングする事で,ヒストグラムのビンを正規化する.
        /// </summary>
        /// <param name="factor">正規化係数</param>
#else
        /// <summary>
        /// Normalizes the histogram bins by scaling them, such that the sum of the bins becomes equal to factor.
        /// </summary>
        /// <param name="factor">Threshold level. </param>
#endif
        public void Normalize(double factor)
        {
            Cv.NormalizeHist(this, factor);
        }
        #endregion
        #region QueryValue*D
#if LANG_JP
        /// <summary>
        /// 1次元ヒストグラムの指定されたビンの値を返す (cvQueryHistValue_1D相当).
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <returns>指定した要素の値</returns>
#else
        /// <summary>
        /// Queries value of histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <returns></returns>
#endif
        public double QueryValue1D(Int32 idx0)
        {
            return Cv.QueryHistValue_1D(this, idx0);
        }
#if LANG_JP
        /// <summary>
        /// 2次元ヒストグラムの指定されたビンの値を返す (cvQueryHistValue_2D相当).
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <param name="idx1">要素インデックスの,0を基準とした第2成分.</param>
        /// <returns>指定した要素の値</returns>
#else
        /// <summary>
        /// Queries value of histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <param name="idx1">2nd index of the bin.</param>
        /// <returns></returns>
#endif
        public double QueryValue2D(Int32 idx0, Int32 idx1)
        {
            return Cv.QueryHistValue_2D(this, idx0, idx1);
        }
#if LANG_JP
        /// <summary>
        /// 3次元ヒストグラムの指定されたビンの値を返す (cvQueryHistValue_3D相当).
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx0">要素インデックスの,0を基準とした第1成分.</param>
        /// <param name="idx1">要素インデックスの,0を基準とした第2成分.</param>
        /// <param name="idx2">要素インデックスの,0を基準とした第3成分.</param>
        /// <returns>指定した要素の値</returns>
#else
        /// <summary>
        /// Queries value of histogram bin.
        /// </summary>
        /// <param name="idx0">1st index of the bin.</param>
        /// <param name="idx1">2nd index of the bin.</param>
        /// <param name="idx2">3rd index of the bin.</param>
        /// <returns></returns>
#endif
        public double QueryValue3D(Int32 idx0, Int32 idx1, Int32 idx2)
        {
            return Cv.QueryHistValue_3D(this, idx0, idx1, idx2);
        }
#if LANG_JP
        /// <summary>
        /// n次元ヒストグラムの指定されたビンの値を返す (cvQueryHistValue_ND相当).
        /// 疎なヒストグラムの場合で,既にビンが存在している場合以外は,この関数が新しいビンを作成し,0にセットする.
        /// </summary>
        /// <param name="idx">要素インデックスの配列(可変長引数)</param>
        /// <returns>指定した要素の値</returns>
#else
        /// <summary>
        /// Queries value of histogram bin.
        /// </summary>
        /// <param name="idx">Array of indices.</param>
        /// <returns></returns>
#endif
        public double QueryValueND(params int[] idx)
        {
            return Cv.QueryHistValue_nD(this, idx);
        }
        #endregion
        #region SetBinRanges
#if LANG_JP
        /// <summary>
        /// ヒストグラムのビンのレンジをセットする (cvSetHistBinRanges相当).
        /// </summary>
        /// <param name="ranges">ビンのレンジの配列</param>
#else
        /// <summary>
        /// Sets bounds of histogram bins
        /// </summary>
        /// <param name="ranges">Array of bin ranges arrays.</param>
#endif
        public void SetBinRanges(float[][] ranges)
        {
            Cv.SetHistBinRanges(this, ranges);
        }
#if LANG_JP
        /// <summary>
        /// ヒストグラムのビンのレンジをセットする (cvSetHistBinRanges相当).
        /// </summary>
        /// <param name="ranges">ビンのレンジの配列</param>
        /// <param name="uniform">一様性フラグ</param>
#else
        /// <summary>
        /// Sets bounds of histogram bins
        /// </summary>
        /// <param name="ranges">Array of bin ranges arrays.</param>
        /// <param name="uniform">Uniformity flag.</param>
#endif
        public void SetBinRanges(float[][] ranges, bool uniform)
        {
            Cv.SetHistBinRanges(this, ranges, uniform);
        }
        #endregion
        #region Thresh
#if LANG_JP
        /// <summary>
        /// ヒストグラムの閾値処理を行う (cvThreshHist相当).
        /// 指定した閾値以下のヒストグラムのビンをクリアする.
        /// </summary>
        /// <param name="threshold">閾値レベル</param>
#else
        /// <summary>
        /// Clears histogram bins that are below the specified threshold.
        /// </summary>
        /// <param name="threshold">Threshold level. </param>
#endif
        public void Thresh(double threshold)
        {
            Cv.ThreshHist(this, threshold);
        }
        #endregion
        #endregion
    }
}

redpajama_set_name: RedPajamaGithub


Phytotechnology – is there a possibility to use it for land reclamation of areas contaminated by Technologically Enhanced Naturally Occurring Radioactive Materials?
Presently, excavation and shipping to a distant waste disposal site is the most commonly used method for handling waste contaminated with radionuclides. Due to international recommendation waste containing enhanced concentration of natural radioactivity should be treated in the same way. In case of TENORMs, which usually occur in huge quantity, this method would be very expensive and can be disruptive to the environment in which the contamination was found as well as direct effects of this pollutant occurrence.
Biological treatment methods, such as phytoextraction or at last phytostabilisation could provide an attractive alternative to the excavation of waste. It is entirely possible that methods successful for heavy metals may be successful for the radioactive elements. Seven-years observation of the a settling pond contaminated with radium isotopes showed that even natural plant transgression into contaminated area can be an effective tool to stabilize pollutants. On the other hand, the assessment of the effectiveness of phytoextraction based on natural plants gave not so promising results.


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You're an independent person who likes to learn in your own way, on your own time. You have certain methods you rely on to take notes, prepare for an exam, and write an essay. They've always worked well for you, so why fix something that isn't broken? But then, you move on to a class that you just don't get. Your usual note taking and studying habits aren't cutting it for this particular subject and you need help. What do you do?
When you're not used to asking for help, or even needing help, figuring out what to do so you can get back on track can seem like a lot of effort. Before you decide that maybe online learning isn't for you after all, check out these easy to use resources and ideas for getting help so you can stress less and keep moving forward.
Realize that it's okay to ask for help.
If you've always been able to figure things out on your own, having to ask for help can feel almost like a failure. the first thing you have to know is that it's okay to ask for help. In fact, asking for help can even improve how much you learn.
In a study conducted by Saint Louis University in 2016, researchers looked at 414 students in a science class. Those who asked instructors for help were more likely to get better grades, but not many students took advantage of office hours or study sessions. Not asking for help doesn't make you smarter or a better student; developing the habit of reaching out when you don't understand something can, though.
Instead of feeling like you should power through a lesson or paper on a topic you just aren't getting, remind yourself it's okay and even beneficial to ask for help from teachers, teaching assistants, and your peers.
If you're still uncomfortable asking for help and think that you'll eventually figure things out on your own, use the five minute rule. If you're stuck on a question or subject for more than five minutes without making progress, it's time to ask for help.
Your school and your instructors are here to help you. That's their job and it's one they love doing! Helping you learn is the number one priority and besides being available to answer questions, they've developed resources to help you get the most out of your education. Here's a few things you can use to help you do your best on your next exam or paper.
The Writer's Block. This is a resource available online 24/7 to help you with everything from outlining a paper, doing proper research, and citing your sources, to helping you improve your grammar and writing style.
Penn Foster Learning Resources: Study Skills and Strategies. This part of the Penn Foster virtual library is dedicated to tips and tricks you can use to improve your study habits. You can get help with setting up a study schedule, study tips for acing exams and quizzes, and more.
The Math Center. If you need help with math courses, this is the place to go! You can get help in several different types of math and feel more confident tackling your next exam.
The Learning Resource Center. Not quite sure where you need help? The homepage for the learning resources in the virtual library is the perfect place to start. You can also learn how to use your student portal, google, and the message center to ask and find the answers you need.
The Student Success and Career Fair. Want advice on being successful in your studies, such as learning the basic skills to navigate being an online student like a pro, or finding out who's here to support you? Don't miss the 2019 Student Success and Career Fair, happening on a computer near you starting April 15th. Don't forget to register for the webinars you're interested in so you don't miss a thing!
Reach out to your teachers and teaching assistants.
Sometimes, talking through a problem you don't understand is the best way to figure it out and learn what to do for next time. Your instructors and education team are here help you learn. If you're stuck, call in to the school to get help. You can also email or chat directly through your student portal. Not sure how? They've made a tutorial to help with that, too!
Take advantage of the benefits of being an online student.
Using your resources and learning to ask for help can make a positive impact on your grades and your self-confidence. But sometimes, even when you do get help, it can take a bit longer to fully understand what you're studying. You might not be ready to take the next exam or submit that paper yet, and that's okay!
When you're an online student with Penn Foster, one of the biggest perks is that it's at your own pace. Not everyone learns at the same speed or in the same style, so being able to tackle subjects in the way that's best for you is a plus.
Struggling with a science course? Take extra time to read and reread your study guides. Not sure about submitting your project? Set it aside for a few days and come back with a fresh outlook. However and whenever you learn, Penn Foster is here for you.


Everyone likes when the leaflet is colorful, aesthetic and legible. However, a lot depends on the project itself, in other words, graphics preparing the files for printing. He must be aware of the basic matters regarding composition and layout. A well-made leaflet will certainly have a better effect than a short, ugly one. A lot also depends on the printing house and the selection of paper and the type of printing.


I am a huge foodie. Something I only discovered when I got to college and love spending time eating and/or making amazing food. In fact, when I was very annoyed when I was pregnant because my body only wanted healthy food. Any good with spice or variety made me ill.
So when I found out we were moving to Glendale I was thrilled. In Orlando, we have good food but it's mainly large, chain restaurants. California is home to a wide variety of food and restaurants.
I'll really miss all these amazing culinary experiences.


text:
Booz Allen to Increase Readiness on the Digital Battlefield
The U.S. Army Awards Booz Allen a $561M Task Order to Maximize Performance of Soldiers
MCLEAN, Va.–(BUSINESS WIRE)–The U.S. Army Combat Capabilities Development Command (CCDC) Aviation & Missile Center's Systems Simulation, Software and Integration Directorate (AvMC S3I) have awarded Booz Allen Hamilton (NYSE: BAH) a task order of up to $561 million for up to five years to improve human performance within the Army and other federal agencies. Formerly known as AMRDEC, CCDC AvMC provides research, engineering and analytical expertise that enables the Army to deter and decisively defeat any adversary. AvMC's S3I specializes in software engineering, modeling and simulation, and systems development to advance the capabilities of its wide range of customers.
"Increasing warfighter effectiveness and reducing potential loss of life require a deep understanding of the U.S. Army's mission, expertise in the latest technologies, and access to cross-sector partnerships," said Greg Wenzel, executive vice president at Booz Allen. "Booz Allen is the only open technology integrator that offers a vision and roadmap to a fully connected, digital battlefield where intelligence and operations converge at the speed of need. Using an open yet secure architecture that quickly and easily integrates the best emerging tech on the market, Booz Allen is helping the Army arm the digital soldier with the latest cross-reality, artificial intelligence, and data-centric solutions to improve their physical and psychological performance as well as tactical equipment design and implementation."
Within the scope of this task order, Booz Allen will deploy an athlete management system used by some of the top professional sports associations around the world to provide elite-level holistic fitness guidance to our service men and women in uniform. This sport performance platform will leverage cognitive services to deliver deep insights into the trainings using data and artificial intelligence. This tactical human dimension training program will include augmented and virtual reality simulations to create a cohesive platform that improves not only physical performance but also elements of cognitive performance. By applying data science and analytics to these data streams, AvMC S3I will have the ability to closely monitor the results, impacts and efficacy of the programs executed by these tactical athletes. These trainings will aid a number of agencies across the military and government, including US Air Force 17th Training Group, U.S. Army Intelligence Center of Excellence, U.S. Army Cyber Center of Excellence and many others.
"The cutting-edge technology that Booz Allen brings to bear will help the Systems Simulation, Software and Integration directorate offer state-of-the-art, performance-enhancing trainings for our nation's soldiers, as well as other members of the military and government," said Booz Allen senior vice president Lincoln Hudson. "We will bring our best in class data analytics capabilities that, in collaboration with our local partners in Huntsville, Alabama, will help maximize performance of the U.S. Army."
Read more about Booz Allen's experience in supporting all four branches of the U.S. military, here: https://www.boozallen.com/markets/defense-and-intelligence.html
About Booz Allen Hamilton
For more than 100 years, business, government, and military leaders have turned to Booz Allen Hamilton to solve their most complex problems. They trust us to bring together the right minds: those who devote themselves to the challenge at hand, who speak with relentless candor, and who act with courage and character. They expect original solutions where there are no roadmaps. They rely on us because they know that—together—we will find the answers and change the world.
We solve the most difficult management and technology problems through a combination of consulting, analytics, digital solutions, engineering, and cyber expertise. With global headquarters in McLean, Virginia, our firm employs more than 26,400 people globally, and had revenue of $6.7 billion for the 12 months ended March 31, 2019. To learn more, visit www.boozallen.com. (NYSE: BAH)
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Investor Relations – Nick Veasey, Veasey_Nicholas@bah.com, 703-377-5332
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Jonah Feingold
Jonah Feingold's debut feature film, Dating & New York, starring Jaboukie Young-White and Francesca Reale, is out now in theaters and on demand through IFC Films. Feingold was born and raised in New York City, with a camera in his hands as soon as he could hold one, and When Harry Met Sally on repeat. He is a graduate of the USC School of Cinematic Arts, and has directed a variety of shorts including the viral fan-film hit Bangarang and a short for Facebook Watch called Maybe: Josh, produced by Sofia Vergara. He is the former host of the official Hinge Dating Podcast Dating Sucks, now titled Seeing Other People. After 10 years in L.A., he moved back to New York, mainly for the bacon, egg, and cheese sandwiches. (Photo courtesy IFC Films.)
@jonahfeingold
@minhalbaig what city
How I Got Hook-ed on Movies
By Jonah Feingold | September 10, 2021
Dating & New York's Jonah Feingold on how dyslexia and Spielberg's misunderstood masterpiece made him the filmmaker he is today.


Have interest in becoming a CNA in Gunter, Texas? You've come to the right place. Learn everything you need to become a CNA with our CNA classes in Gunter TX. With demand for Certified Nursing Assistants in Gunter TX soaring higher and higher in today's job market, there is not a better time than today to start CNA classes in Gunter and become a Certified Nursing Assistant.
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GleanerNow
Northwest Adventists in Action
Latest Issue — 01.2020
Urban Ministry Conference Addresses Purposeful City Living
April 28, 2015 | Heidi Baumgartner
Gaspar Colón gives an overview of the opportunities and challenges of urban ministry to ministry leaders attending the first-ever Urban Ministries Conference in western Washington.
Gerson P. Santos, General Conference global missions director, discusses five urban ministry models: small groups, missional communities, church planting, leadership development and centers of influence.
Keith Goodman, a pastor from Philadelphia, shares how he pastors his parish with purpose by balancing ministry and evangelism to meet the needs of his community.
Katia Reinert, North America Division health ministries director, says every person can do a form of medical mission work by sharing a smile. She encourages leaders to pursue a comprehensive health education ministry approach that is biblically sound, in line with Adventist health principles and evidenced by science.
Will James, Paradise Valley (Calif.) senior pastor, provides a ministry consultation session for Colette Newer, Washington Conference outreach ministries associate director. Consultation sessions allowed for specific ministry coaching and advice gleaning.
Byron Dulan, Washington Conference outreach ministries director and convener, encourages church representatives to pursue Christ's model of mingling with people, meeting their needs and inviting them to follow Jesus.
Adventist Church co-founder and prolific writer Ellen White wrote extensively about city and country living. In much of her writing, she urged Adventists to pursue country living. But she didn't forget ministry to the cities.
She, in fact, urged Adventists to live in the city with purpose. What, then, are the best ways to live and minister with purpose in urban settings? This question served as a central point for a three-day Urban Ministries Conference in mid-March.
"We need to understand the landscape of our cities," says Marc Woodson, who shared about Bridges to Health, a San Francisco Bay Area health initiative. Woodson, along with fellow presenters, outlined the need to identify problems, pray for communities, find solutions, and build bridges between churches, conferences and communities.
The training conference attracted 80 local and regional community service leaders, pastors and church leaders with a few national and international guests who desire to better serve the needs of their communities.
The practical keynote presentations, workshops and ministry consultations featured urban ministry experts such as Gaspar Colón, May-Ellen Colón, Katia Reinert, Keith Goodman, Gerson Santos, Will and Peggy James, and Rico Hill. The presenters shared how to assess community needs, create centers of influence, pray for communities and mobilize the church for ministry.
"Our cities in the world are in crisis and experiencing a global revolution," says David Jamieson, a senior pastor from Aldergrove, British Columbia, Canada, in his keynote address. "There is an unprecedented desire in our cities for change. What the world needs is not a revolution but a 'servolution' to break down barriers, open hearts and love people."
Washington Conference
Heidi Baumgartner
Washington Conference communication director
featured in May 2015
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Detail: Clint Frazier
CF/LF
2019 Yankees 69 225 60 14 0 12 2 31 38 1 2 16 1 2 3 0 .267 .317 .489 .347
2018 Yankees 15 34 9 3 0 0 0 9 1 0 0 5 0 2 0 0 .265 .390 .353 .343
2017 Yankees 39 134 31 9 4 4 1 16 17 1 0 7 0 0 1 0 .231 .268 .448 .312
Total MLB 123 393 100 26 4 16 3 56 56 2 2 28 1 4 4 0 .254 .308 .463 .335
2017 Spring 6 11 2 1 0 0 1 1 1 1 0 0 0 0 1 0 .182 .167 .273 .275
Marcel 0 181 47 10 1 5 2 23 21 3 1 15 1 2 1 1 .261 .318 .416 .330
2017-10-01 v Tor LF 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-27 v TB RF 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-26 v TB LF 4 1 0 0 0 0 1 0 0 0 0 0 0 0 0 .250 .250 .250 .225
2017-09-25 v KC PR,LF 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-22 @ Tor LF 2 0 0 0 0 0 0 0 0 0 1 0 0 0 0 .000 .333 .000 .233
2017-09-20 v Min PH,LF 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1.000 1.000 3.000 1.600
2017-09-17 v Bal LF 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-16 v Bal PH,LF 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-14 v Bal LF 3 2 1 0 0 0 2 0 0 0 1 0 0 0 0 .667 .750 1.000 .712
2017-09-13 @ TB RF 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-09-12 @ TB LF 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-08-06 @ Cle LF 4 1 1 0 0 0 2 0 0 0 1 0 0 0 0 .250 .400 .500 .390
2017-08-03 @ Cle RF 4 1 1 0 0 0 0 0 0 0 0 0 0 0 0 .250 .250 .500 .312
2017-08-01 v Det LF 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-07-28 v TB LF 4 1 0 0 1 0 1 3 0 0 0 0 0 0 0 .250 .250 1.000 .500
2017-07-27 v TB DH 5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 .200 .200 .200 .180
2017-07-26 v Cin RF 4 2 0 0 0 0 1 2 0 0 1 0 0 0 0 .500 .600 .500 .500
2017-07-25 v Cin LF 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-07-23 @ Sea LF 5 1 1 0 0 0 0 2 0 0 0 0 0 0 0 .200 .200 .400 .250
2017-07-19 @ Min RF 4 2 0 0 0 0 1 0 0 0 0 0 0 0 0 .500 .500 .500 .450
2017-07-18 @ Min LF 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-07-17 @ Min LF 4 2 2 0 0 0 0 0 0 0 0 0 0 0 0 .500 .500 1.000 .625
2017-07-16 @ Bos LF 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 .250 .250 .250 .225
2017-07-09 v Mil DH 4 1 0 0 1 0 1 2 0 0 0 0 0 0 0 .250 .250 1.000 .500
2017-07-08 v Mil LF 4 3 0 1 1 0 1 4 0 0 0 0 0 0 0 .750 .750 2.000 1.125
2017-07-07 v Mil LF 3 1 0 1 0 0 0 1 0 0 0 0 0 1 0 .333 .250 1.000 .400
2017-07-04 v Tor RF 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-07-02 @ Hou LF 3 0 0 0 0 0 0 0 0 0 1 0 0 0 0 .000 .250 .000 .175
2017-07-01 @ Hou RF 4 2 1 0 1 0 2 1 0 0 0 0 0 0 0 .500 .500 1.500 .812
Total 89 24 6 3 4 1 10 17 1 0 4 0 0 1 0 .270 .298 .539 .363
2017-03-31 @ Atl PH,LF 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 .000 .000 .000 .000
2017-03-20 @ Was PH,DH 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 .000 .000 .000 .125
2017-03-17 @ Det LF 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 .000 .000 .000 .900
2017-03-10 @ Phi LF 3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 .333 .333 .333 .300
2017-02-27 @ Bal RF 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1.000 1.000 2.000 1.250
Wed Oct 9 2019 04:39 LEADING OFF: Nats-Dodgers and Cards-Braves set for Game 5
Tue Oct 8 2019 18:08 Injured Yankees CF Hicks feels ready to return to roster
Sat Sep 28 2019 23:43 N.Y. Yankees-Texas Runs
Sat Sep 21 2019 16:20 Toronto-N.Y. Yankees Runs
Fri Sep 20 2019 22:40 Toronto-N.Y. Yankees Runs
Thu Sep 19 2019 21:29 L.A. Angels-N.Y. Yankees Runs
Tue Sep 17 2019 23:38 Yanks' Stanton to be activated Wednesday or Thursday
Sat Sep 14 2019 19:07 N.Y. Yankees-Toronto Runs
Fri Sep 13 2019 23:26 N.Y. Yankees-Toronto Runs
Thu Sep 12 2019 17:06 N.Y. Yankees-Detroit Runs
Tue Sep 10 2019 22:29 N.Y. Yankees-Detroit Runs
Mon Sep 2 2019 19:19 Texas-N.Y. Yankees Runs
Sun Sep 1 2019 16:48 Oakland-N.Y. Yankees Runs
Sun Sep 1 2019 12:38 Yankees recall OF Frazier after 2½ months at Triple-A
Sun Sep 1 2019 02:38 LEADING OFF: Carrasco, Frazier, Zobrist up as rosters expand
Sat Aug 31 2019 18:58 LEADING OFF: Carrasco, Frazier, Zobrist up as rosters expand


Serving St. Mark's Parish in Plano Texas for over 50 years.
is part of an international organization of Catholic men devoted to serving the Catholic Church. Our Focus is on Families, Youth, Our Parish, & Our Community.
If you are a practicing Catholic man at least 18 yrs of age and you want to associate with Catholic men who share your values and beliefs, if you want to give back to your church and your community, and if you feel family values are important, then you belong with the Knights of Columbus!
Our next Bingo is Saturday November 3rd. We start at 6:00 PM with a social hour. The first bingo game starts at 7:00.
This event helps sponsor our support for Military and Veterans activities such as VA Hospital, USO, St. Michael's Society,etc.
To Register Click Here and click "Shop". We also have informational and paper registration form here.


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YouTube can be a platform for success, and perhaps no one (well, except maybe Justin Bieber) knows that better than actress Felicia Day. In April, Day launched Geek & Sundry, a multimedia company and premium YouTube channel dedicated to indie geek entertainment, and the sixth season of her web series The Guild will be released on Geek & Sundry soon, along with six new web shows.
Day's been a staple on the web video scene for years, having co-starred in Joss Whedon's Internet musical Dr. Horrible's Sing-Along Blog, which was ranked in the "Top 10 Best TV of 2008" by Time, Entertainment Weekly and People and won an Emmy in 2009. She also created and stars in the web series The Guild, which just finished its fifth season, partnered with Microsoft and Xbox Live. The Guild has won the YouTube, Yahoo, Streamy and SXSW Best Web Series Awards and was recently nominated for a PGA for best web series.
While shooting season six, Day let us follow her around to see what it's like to be in her shoes. (Hint: It involves long days and a lot of caffeine.)
Read more: http://mashable.com/2012/09/10/felicia-day-video/
A Day in the Life of YouTube Star Felicia Day
by Gamegeek - January 26, 2016
Day's been a staple on the web video scene for years, having co-starred in Joss Whedon's Internet musical Dr. Horrible's Sing-Along Blog, which was ranked in the "Top 10 Best TV of 2008" by Time, Entertainment Weekly and People and won an Emmy in 2009. She also created and stars in the web series The Guild, which just finished its fifth season, partnered with Microsoft and Xbox Live. The Guild has won the YouTube, Yahoo, Streamy and SXSW Best Web Series Awards and was recently nominated for a PGA for best web series.
While shooting season six, Day let us follow her around to see what it's like to be in her shoes. (Hint: It involves long days and a lot of caffeine.)
in Uncategorized aloft, Day In The Life Series, felicia day, film, Lifestyle, Startups, Video, Work & Play, YouTube	0
The 19 Greatest Comics Of The...
The Picturesque Beauty Of The...


Few things are greater in sports than an epic comeback. A team coming back from a double digit points to regain the lead at the last minute; an injured star returning to the starting lineup just when the team is in their time of greatest need; even a poker player, who is down to virtually nothing in chips, storming back to beat out the other players with a final epic hand.
Conversely, few things are worse than an epic collapse. A late game meltdown; an end of the season choke in a clutch moment; your best players not rising to the occasion. Buffalo Sabres fans are probably a little confused right now, as the end of their 2011-2012 season featured both an epic comeback and an epic collapse.
Let's time travel, shall we, back a couple months to February 6th, when the Sabres were in terrible shape and a full 10 points out of playoff contention. Starting on February 19th, the Buffalo Sabres embarked on a 15-2-3 streak to recover 33 points in the conference standings and position themselves for the 8th place playoff spot in the East. Point-wise, it was one of the greatest team comebacks in NHL history. Or, it would have been, had it heralded them into the playoffs.
One of the principal story lines behind this miraculous comeback was the startling and sudden return to form of goalie Ryan Miller. Winner of the 2010 Vezina award for NHL's top goalie, Miller helped to carry the USA team to the silver medal in the 2010 Winter Olympics. But since then, Miller had been a veritable phantom of that MVP caliber player, which is precisely why his incredible return to form in the last 2 months was all the more dramatic. Since February 19th, Ryan Miller was 14-1-3 with a .939 save percentage, which, had it been sustained over the whole season, would have been 2nd in the league.
For Sabres fans, who have watched their team's roller coaster season with consternation, this may be the hope they can bring into the off-season, the hope of rebuilding and coming back again strong.


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Stephen Clapp (November 27, 1939 – January 26, 2014) was a violinist and Dean Emeritus of the Juilliard School.

Education
Clapp earned the B.M degree from the Oberlin Conservatory and the M.S. degree from the Juilliard School. He was a student of Dorothy DeLay, Ivan Galamian, and  Andor Toth. He studied chamber music with Claus Adam, Robert Mann, Felix Galimir, Raphael Hillyer, Louis Persinger, and Walter Trampler.

Performance

As a member of the Beaux-Arts String Quartet, Clapp won the first Naumburg Chamber Music Award. He won the Josef Gingold Prize of the Cleveland Society for Strings while a student at the Oberlin Conservatory. Clapp was concertmaster of the Aspen Chamber Symphony, Nashville Symphony,  and the Austin Symphony Orchestra.

Clapp performed in numerous summer festivals in Europe and North America. He was a founding faculty member of Credo Chamber Music, at Oberlin Conservatory.  He was first violinist in the Blair String Quartet from 1967-72.

In 1982, Clapp was the founding violinist of the Oberlin Trio, along with cellist Andor Toth Jr. and pianist Joseph Schwartz.

On April 28, 1985, Tim Page (music critic) of the New York Times had this to say about Clapps's playing in a New York debut recital: "Mr. Clapp, who was ably accompanied by the pianist Frances Walker, plays sweetly and songfully, with innate taste; he produces a dark, affecting tone from his instrument, which sounded almost like a viola at times.  . . . a vigorous interpretation, which it received Sunday."

Teaching
Clapp taught violin at a number of schools.
 Aspen Music Festival and School, 1971–94
 Peabody College, Nashville, TN), 1967–72
 University of Texas at Austin, TX, 1972–79
 Oberlin Conservatory, 1978–90
 The Juilliard School, 1987–2014
  Credo Music  1999-2013

Selected discography
 Leon Kirchner Piano Trio, performed by the Oberlin Trio
 20th-century American Piano Trios
 French Trios  - Maurice Ravel, Jean Baptiste Loeillet of Ghent, Claude Debussy

References

External links
 Stephen Clapp, violin
  Juilliard Biography
  Official Biography, PDF file
  Violinists who studied with Stephen Clapp
  Stephen Clapp on "flickr" speaking at Ball State University

Violin pedagogues
American classical violinists
Male classical violinists
American male violinists
Aspen Music Festival and School faculty
Concertmasters
American music educators
Oberlin Conservatory of Music alumni
Juilliard School alumni
1939 births
2014 deaths
Place of birth missing
20th-century classical violinists
20th-century American male musicians
20th-century American violinists


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