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The age estimation algorithm realises hierarchical approach (fig. 10). First of all input fragments are divided for three age groups: smaller than 18 years old, from 18 - 45 years old and bigger than 45 years old. Afterwards the results of this in the first stage are more subdivided to seven newer groups with each limiting to one single decade. Thus the problem of multiclass classification is therefore reduced to a set of binary ‘one-against-all’ classifiers (BC).These classifiers calculate: ranks of each of the analyzed class. The total decision is obtained then by the analysis the previously received histogram of ranks.

These BCs are construction is applied with the transitioning to adaptive feature space, equal to this described earlier, and support vector machines classification of images with RBF kernel.

Input fragments were preprocessed for their luminance characteristics to align and to transform them to uniformal scale. Preprocessing includes color-space transformation and scaling, both similar to that of gender recognition algorithm. Features, calculated for each colour component, are combined to form a uniform featured vector.

Training require a huge enough coloring image database: We used state-of-the-art image databases MORPH and FG-NET with our own image database, gathered from some sources, which comprised of 10500 faces. Faces on the images were detected automatically by AdaBoost face detection algorithms.

A total number of seven thousand images were used for age classification algorithm training and testing on the first stage. 3 binary classifiers were made utilizing 144 adaptive features each of.

Classification results on the first stage are: 82 % accuracy for young age, 58 % accuracy for middle age and 92 % accuracy for senior age. Age classification rate in a three age division problem – 77.3 %.

Binary classifiers of the second stage were constructed equal to the first stage described above. A visual example of age estimation by the proposed algorithm on its first stage is presented in figs. 11.

The age estimation algorithm realises hierarchical approach (fig. 10). First of all input fragments are divided into1for three age groups: smaller than 18 years old, from 18 - 45 years old and bigger than 45 years old. Afterwards the results of this in the first stepage are more subdivided to seven smallernewer groups, with each limiteding to one single decade. Thus the problem of multiclass classification is therefore reduced to a set of binary ‘one-against-all’ classifiers (BC).These classifiers calculate: ranks of each of the analyzed class. The total decision is obtained then by the analysis the previously received rank histograms of ranks.

These BCs are constructioned using a two-level approach. After is appliedfirst with the 2transitioning to adaptive feature space, asequal to this3 described earlier, and support vector machines classification of images with RBF kernel.

Input fragments were preprocessed for their luminance characteristics to align and to transform them to uniformal scale. This pPreprocessing step includes color-space transformation and scaling, both operations similar to those used inthat of a gender recognition algorithm. Features, calculated for each colour component, are combined to form a uniform featured4 vector.

Training and testing5 require a sufficientlyhuge largeenough coloring image database: We used state-of-the-art image databases MORPH and FG-NET with our own image database, gathered from some6many sources, which comprised of 10,500 face images. Faces on the images were detected automatically by AdaBoost face detection algorithms.

A total number of seven thousand images were used for age classification algorithm training and testing on the first stage. 3 binary classifiers were made utilizing 144 adaptive features each of.

Classification results on the first stage are: 82 % accuracy for young age, 58 % accuracy for middle age and 92 % accuracy for senior age. Age classification accuracyrate in a three age division problem – 77.3 %.

Binary classifiers of the second stage were constructed equalsame to the first stage described above. A visual example of age estimation by the proposed algorithm on its first stage is presented in figs. 11.  

The proposed age estimation algorithm realisesrealizes hierarchical approach (figFig. 10). First of all, the input fragments are divided into1for three age groups: smallerless than 18 years old, from 18 - 45 years old and biggermore than 45 years old. Afterwards2Second, the results of this in the firstfirst stepage are more further subdivided tointo seven smallernewer groups, with each limiteding to onea single decade. ThusThis reduces the problem oforiginal multiclass classification is therefore reduced problem to a set of binary ‘”one-against-all’”3 classifiers (BC). These classifiers calculate:Each classifier then ranks of each of the analyzedthe images based on the associated class. The total decision is, and the final decisions are obtained then by the analysis the previously received analyzing these rank histograms of ranks.       

These BCs are constructioned4 using a two-level approach. After is appliedfirst with the transitioning to an adaptive feature space, asequal to this5 described earlier, and the images are classified using support vector machines classification of images with radial basis function (RBF) kernels.6

The Iinput fragments wereare preprocessed forto align and transform their luminance characteristics to align and to transform them to uniformala uniform scale. This pPreprocessing step includes color-space transformation and scaling, both operations similar to those used inthat of athe 7gender recognition algorithm. Features, are calculated for each colourcolor component, are and combined to form a uniform featured8 vector.

Training and testing9 require a sufficientlyhuge largeenough coloring image database: We used. Here, we combined the state-of-the-art image databases MORPH and FG-NET image databases with our own image database, gathered from some10many sources, which comprised of many sources and comprising 10,500 face images. Faces on. The faces in the images were detected automatically by the AdaBoost face detection algorithms.

A total number of seven thousand7000 images were used for to train and test the first stage of the age classification algorithm training and testing on the first stage. 3 binary classifiers. Three BCs were made utilizingcreated, each with11 144 adaptive features each of.

Classification results on the The first-stage are:classification results showed 82 % accuracy for young agefaces, 58 % accuracy for middle age-aged faces, and 92 % accuracy for seniorelderly faces. The overall age. Age classification accuracyrate in afor the three age division problem –categories was 77.3 %.12

Binary classifiers of tThe second-stage BCs were constructed in the equalsame tomanner as the first stage (described above. A). Fig. 11 shows a visual example of age estimation by the first stage of the proposed algorithm on its first stage is presented in figs. 11..

Leiomyosarcoma are rare tumors of small intestine which arise from the muscularis mucosa or muscularis propria. The most common site of LMS in the small intestine is jejunum followed by ileum and then duodenum. The common presentations include abdominal mass, abdominal pain or overt gastrointestinal bleeding. They are mainly seen in 6th decade of life with slight male preponderance. Preoperative diagnosis of small intestinal tumors is difficult, especially differentiating between benign and malignant tumors. For LMS in small intestine, recent review of literature revealed that CT and MRI-enterography and enteroclysis are good options.Cases of superficial lesion which can be missed by both CT and MRI, can however be detected by water capsule endoscopy with a detection rate of around 80%. Histologically LMS resembles like GIST, however they are CD117 and CD34 negative by immunohistochemistry and positive for smooth muscle antigen (SMA) and desmin. When these tumors are more than 5 cm they commonly spread hematogenously to liver (65%), other GI organs (15%), lung(4%). It also has the capability to spread via lymphatics (13%) or via peritoneal route (18%). The only effective treatment for small intestine LMS is surgery. The primary tumor should be excised radically, including a wide resection of the mesentry. Response to chemotherapy is doubtful, and there is no role for radiotherapy. Therefore, metastasectomy, if possible, should be considered. Large phase II and III studies combining docetaxel and gemcitabine yielded impressive response rates in LMSs (mostly of uterine origin). However, others were not able to confirm the efficacy of this combination. Recently, trabectedin showed response rates up to 56% in LMSs, and it appeared to be especially useful in far-advanced and metastatic LMSs after failure of the combination of anthracyclines and ifosfamide.

Leiomyosarcoma (LMS)1 areis a  rare tumors of small intestine which arise from the muscularis mucosa or muscularis propria. The most common site of LMS in the small intestine is the jejunum, followed by the ileum and then duodenum. The common presentations include abdominal mass, abdominal pain, and2 or overt gastrointestinal bleeding. They are mainly seenobserved3 in 6th decade of life with slight male preponderance. The Ppreoperative diagnosis of small intestinal tumors is difficult, especially in terms of differentiating between benign and malignant tumors. For LMS in the small intestine, a recent review of literature revealed that computed tomography (CT) and magnetic resonance (MR)I- enterography and enteroclysis are good detection4 options. Cases of superficial lesions, which can be missed by both CT and MRI imaging, can however be detected by water capsule endoscopy, with a detection rate of aroundapproximately  80%. Histologically, LMS resembles likegastrointestinal stromal tumorGIST,; however they areit is negative for5  CD117 and CD34 negative by immunohistochemistry and positive for smooth muscle antigenactin6 (SMA) and desmin on immunohistochemistry. When these tumors are more than 5 cm, they commonly spread hematogenously to liver (65%), other gastrointestinalGI organs (15%), and the lungs (4%). It They also has have the capability to spread via the lymphatics system (13%) or via peritoneal route (18%). The only effective treatment for LMS in the small intestine LMS 7is surgery. The primary tumor should be excised radically, including a wide resection of the mesentry. Response to chemotherapy is doubtfulunknown, and there is no role for8of radiotherapy.  Therefore, metastasectomy, if possible, should be considered.  Large phase II and III studies combining docetaxel and gemcitabine yielded impressive response rates forin LMSs (mostly of uterine origin). However, others were not able to confirm the efficacy of this combination. Recently, trabectedin showed response rates up to 56% forin LMSs, and it appeared to be especially useful in far-advanced and metastatic LMSs after failure of the combination of anthracyclines and ifosfamide.

Leiomyosarcoma (LMS)1 areis a  rare tumors of small intestineintestinal tumor, which arises from the muscularis mucosa or muscularis propria. The most common site of occurrence of 2LMS in the small intestine is the jejunum, followed by the ileum and then duodenum. TheIts common presentations manifestations3 include abdominal mass, abdominal pain, and4 or overt gastrointestinal bleeding. They are mainly seenobserved5 in the 6th decade of life with slight male preponderance. In general, the The Ppreoperative diagnosis of small intestinal tumors such as LMSs is difficult, especially in terms of differentiating between benign and malignant tumors. For LMS in the small intestine, 6According to a recent review of literature revealed that review computed tomography (CT) and magnetic resonance (MR)I- enterography and enteroclysis are good 7detection options. Cases of superficial modalities for the assessment of LMS.  Superficial lesions, which can be missed by both CT and MRI imaging, can however be detected by water capsule endoscopy, with a detection rate of aroundapproximately  80%. Histologically, LMS resembles like8gastrointestinal stromal tumorGIST,; however, on immunohistochemical analysis, they areit is has been found to be negative for9  CD117 and CD34 negative by immunohistochemistry and positive for smooth muscle antigenactin (SMA)10 and desmin on immunohistochemistry. When these tumors arethe size of LMS is 11more than 5 cm, they commonly spread it can hematogenously spread to the liver (65%), other gastrointestinalGI organs (15%), and the lungs (4%). It TheyIt can also has have the capability to spread via the lymphatics system (13%) or via peritoneal route (18%). The response of LMS to chemotherapy is unknown, and radiotherapy does not play a role in the treatment. Therefore, surgery is the only effective treatment for LMS in the small intestine. LMS 12is surgery. The primary tumor should be excised radically, including a with wide resection of the mesentry. Response to chemotherapy is doubtfulunknown, and there is no role forof13 radiotherapy.  Therefore, metastasectomy, iIf possible, metastasectomy should be considered.  Large phase II and III studies combiningtrials involving the combination of docetaxel and gemcitabine yieldedhave reported impressive response rates forin LMSs (mostly of uterine origin). However, others weresome studies have14 not been able to confirm the efficacy of this combination. Recently, trabectedinTrabectedin has recently showed response rates of up to 56% forin LMSs, and it appeared to be especiallyparticularly useful inagainst far-advanced and metastatic LMSs after failure of the combination of anthracyclines and ifosfamide, combination therapy.

Motor unit’s relation with electromyogram (EMG)

Motor unit:
A single motoneuron and it’s axons supply not only just a muscle fiber, but also several muscle fibers. The muscle fiber that is supplied by one motor neuron through its single axon along with branches are called a Motor Unit. A variety of muscle fibers are present. It is observed in cat leg muscles that approximately 120¬, 165 fibers are present in one motor unit.

EMG
A motor unit activity is measured through a coaxial electrode in to the muscle that is tobe studied. Next they are connected to electromyography (EMG). A recording is obtained during muscular activity. This recording is called an electromyogram (EMG). A hollow needle can be made in to a coaxial electrode introducing an insulated inner wire with in it. Possible changes are recorded from small volume of the muscles in immediate neighbourhood of the tip of the needle. Thus, it is has been observed that most of the electrical activity is from the active fibers near the electrodes. Sometimes, surface electrodes is used instead of deep muscle coaxial electrode. In this recording method, two surface electrodes are placed over the muscle to be studied at a reasonable distance.
When the muscle is at rest, no action potential is recorded; however, as soon as the muscle becomes active, potentials are recorded. The potential recorded during activity is as a result of the asynchronous discharge of motoneurons in the vicinity of the electrodes. During minimal voluntary activity, only a few number of motor units discharges, and as voluntary effort increases the more number of units is activated. This is called as recruitment of motor units
Gradation of muscular activity is a part of the function of a number of motor units activated. Electrographic studies have clinically importance in the diagnosis of motor unit disorders including peripheral nerve injuries, neuromuscular disorders such as myotonia and myasthenia gravis, so on and so forth.

Motorunit’s relation with electromyogram (EMG)

Motorunit:

A single motor neuronmotoneuronand it’s axonaxons innervate1supply not onlyjust a muscle fiber, but also several muscle fibers. The mMusclefibersthatis supplied innervated by one motor neuron throughits single axon along with branches are called a MmotorUunit.ThenumberA variety of musclefibers ina motor unit variesare present2 .It is has been observedin cat leg muscles that approximately 120–­, 165fibers are present in one motor unit.

EMG

A motor unit activity is measured through inserting3 a coaxial electrode in tothe muscle that is to be studied. Next, theelectrode isthey areconnected to an electromyographelectromyography(EMG)4. A recording is obtained during muscular activity. Thisrecording is called an electromyogram (EMG).

A hypodermic hollow5needle can be made in to a coaxial electrode by introducing aninsulated inner wire with in into it. Possiblechanges are recorded from small volume of the muscles in immediate neighbourhoodof the tip of the needle. Thus, it is has been observed that most of theelectrical activity is from the active fibers near the electrodes. Sometimes,surface electrodes is used instead of deep muscle coaxial electrode. In thisrecording method, two surface electrodes are placed over the muscle to bestudied at a reasonable distance.

When themuscle is at rest, no action potential is recorded; however, as soon as themuscle becomes active, action 6potentials are recorded. Thepotential recorded during activity is as a result of the asynchronous dischargeof motoneurons in the vicinity of the electrodes. During minimal voluntaryactivity, only a few number of motor units    aredischargeddischarges, and as voluntary effort activity increases,the morenumberof units areis activated.This is called recruitment of motor units.7

Gradation ofmuscular activity is a function of thea part of thefunction of a number of motor units activated.  Electromyographic8Electrographic studies have clinicallyimportance in diagnosis of motor unit disorders including peripheral nerveinjuries, neuromuscular disorders such as myotonia and myasthenia gravis, so onand so forth.

Motor unit’s and their relationwith electromyograms (EMG)1

Motor unit    :

A single motor neuronmotoneuronand its it’s2axonaxonsinnervate3supply not onlyjust a muscle fiber, but also several muscle fibers; these fibers constitute The mMuscle fibersthatis supplied innervated by one motor neuron throughits single axon along with branches are called a MmotorUunit.The numberA variety of musclefibers ina motor unit variesare present4 .It is has been observedin The motor unit of cat legmuscles that hasapproximately 120–­, 165 fibers are present in one motor unit5.

Electromyography: EMG

A Mmotor unit activity is recorded by measured throughinserting6a coaxial electrode in to the muscle of interest that isto bestudied. Next, the electrode isthey areconnected to an electromyographelectromyography(EMG)7. A and a recording isobtained during of muscularactivity. knownas an electromyogram is obtained. Thisrecording is called an electromyogram (EMG).8

A hypodermic hollow9 needlecan be made in to converted into a coaxial electrode by introducingan insulated inner wire with in into it. Possible Cchangesare recorded from the small volume of themuscles are recorded in the immediate vicinityneighbourhood of the tip of the needle tip.Thus, it is has been observed that most the highest ofthe electrical activity is observedfrom inthe active fibers near the electrodes. Sometimes, surface electrodes are is10used instead of deep muscle coaxial electrodes.In this recording method, two surfaceelectrodes are placed at a reasonable distance onthe skin overlying over themuscle to be studied at a reasonable distance.

When themuscle is at rest, no action potential is recorded;11 however, as soon as themuscle becomes active, action potentials results fromare recorded. The potential recorded duringactivity is as a result of the asynchronous discharge of motor neurons12motoneuronsin the vicinity of the electrodes. During minimal voluntary activity, only afew numberof motor units    are dischargeddischarges,and as voluntary effort activity increases,the morenumberof units areis activated.This is called motor unit recruitment of motor units.13

The Ggradation of muscular activity is a functionof thea part of the function of anumber of activated motor units activated. Electromyographic Electrographic14studies are clinically importanthave clinically importance in the diagnosis of motor unit disorders, including peripheral nerve injuries, and neuromuscular disorders, such asincluding myotonia and myasthenia gravis, so on and so forth15.

Any consideration of the response by twentieth and twenty-first century of Irish poets to holocaust must consider first the historical context of Ireland’s little Jew community and the record of pre-war and wartime immigration into Ireland by refugees from mainland Europe. Available census statistics show that 1861 onwards there was a little but significant Jew community in Ireland mainly based in Dublin but also in cities such as Cork and Limerick. The 1901 census taken three years before the 1904 setting of James Joyce’s Ulysses (1922), suggest that there were just over 3,000 Jew living in Ireland out of a total population of roughly 3,200,000. By 1946, this number had risen only to 5,381 professing Jew on the island of Ireland. These statistics tell their own story of Ireland’s pre-war and wartime inaction in the face of mass expulsions from central and eastern Europe. Even during the years of holocaust, 1942-45, Irish policy was parsimonious at best and according to Dermot Keogh’s authoritative study Jews in TwentiethCentury Ireland (1998), the number admitted during the Second World War “may have been as few as sixty” (Keogh 1998: 192).

Any consideration of the response by twentieth and twenty-first century of Irish poets to the1 Hholocaust must consider first the historical context of Ireland’s little small 2Jewish community and the record of pre-war and wartime immigration into Ireland by refugees from mainland Europe. Available census statistics show that 1861 onwards there was a little small but significant Jewish community in Ireland mainly based in Dublin but also in cities such as Cork and Limerick. The 1901 census taken three years before the 1904 setting of James Joyce’s Ulysses (1922), suggest that there were just over 3,000 Jews3 living in Ireland out of a total population of roughly 3,200,000. By 1946, this number had risen only to 5,381 professing Jews on the island of Ireland. These statistics tell their own story of Ireland’s pre-war and wartime inaction in the face of mass expulsions from central and eastern Europe. Even during the years of the Hholocaust, 1942-45, Irish policy was parsimonious at best and according to Dermot Keogh’s authoritative study “Jews in Twentieth-4Century Ireland (1998)”5, the number of Jewish refugees 6admitted during the Second World War “may have been as few as sixty” (Keogh 1998: 192).

Any consideration of the response offered 1by twentieth and twenty-first century of 2Irish poets to the3 Hholocaust must consider first involve reviewing 4the historical context of Ireland’s little small 5Jewish community and the Ireland’s record of pre-war and wartime immigration into Ireland by acceptance of refugees from mainland Europe. Available census statistics show that 1861 onwards there was a little small but significant Jewish community has existed in Ireland since 1861. This community was primarily mainly based in Dublin but also settled in cities such as Cork and Limerick. The 1901 census, taken three years before the 1904 setting of James Joyce’s Ulysses (1922), suggests that people of Jewish origin constituted there were just over 3,000 Jews6 living inof Ireland’s out of a total population of roughly 3,200,000. By 1946, this number had risen only to 5,381 people professing Jews on the island of Ireland7. These statistics tell narrate 8their own story of Ireland’s pre-war and wartime inaction in the face of mass expulsions from Ccentral and Eeastern Europe. Irish policy was parsimonious at best even between 1942 and 1945, the years of the Holocaust. Even during the years of the Hholocaust, 1942-45, Irish policy was parsimonious at best and Aaccording to Dermot Keogh’s authoritative study “9Jews in Twentieth-10Century Ireland (1998)”11, the number of Jewish refugees 12admitted by Ireland during the Second World War “may have been as few as sixty” (Keogh 1998: 192).

It is definitely advantageous to enter a market first, provided there is an asymmetry in market. A company should be able to make the expert decision on whether being the first to entering an emerging market is worth the sorrow to invest money. This decision would largely depend on their resources.

Companies that adopt first-mover strategy constantly attempt to make more resources and products of before the follower arrives on scene. However, if the follower is able to develop resources that are better than those of the first mover, there is nothing preventing the follower from seizing the market share. The durability of the entering mover’s competitive advantage depends not only on the initial resources of the pioneer but on also the resources which it develops progressively.

It isdefinitely advantageous to enter a market first, provided there is an asymmetryin themarket. A company should be able to make the expertan informed1decision on whether being the first to enteringenteran emerging market is worth the sorrow to invest money.investment.2This decision would largely depend on theirits3resources.

Companies thatadopt first-mover strategy constantly attempt  4to makeusemore resources andto producemore products of 5before the follower arrivesfollowersarrive on scene. However, if the follower is able to developresources that are better than those of the first mover, there is nothingpreventing the follower from seizing the market share. The durability of the entering mover’spioneer’s6competitive advantage depends not only on theitsinitial resources of the pioneer7 but on also theresources which it develops progressively.

It isdefinitely advantageous to be the first to1 enter a market first,provided if there is an asymmetry in the market is asymmetrical. Largely depending on its resources,2 Aa company shouldbe able to must make the an informed3expertdecision on about4whether being the first to entering an emerging market is worth the sorrow to invest moneyinvestment5. This decision would largely depend on their its 6resources.

A Ccompaniesy that adoptsfirst-mover strategy constantly attempts 7tomake use more resources and to produce more 8productsof before the followersarriveson the scene. However, if the follower is able has theability to develop resources that are betterthan those of the first mover, there is nothing preventingprevents9 the follower from seizing the10 market share. The durability of the entering mover’spioneer’s11competitive advantage depends on notonly on the its initial resources of the pioneer12 but on also theresources which that13 it develops progressively.