Variable selection is an essential and necessary task in the statistical modeling field. Several studies have triedto develop and standardize the process of variable selection, but it isdifficultto do so. The first question a researcher needs to ask himself/herself what are the most significant variables that should be used to describe a given dataset’s response. In thispaper, a new method for variable selection using Gibbs sampler techniqueshas beendeveloped.First, the model is defined, and the posterior distributions for all the parameters are derived.The new variable selection methodis tested usingfour simulation datasets. The new approachiscompared with some existingtechniques: Ordinary Least Squared (OLS), Least Absolute Shrinkage

One hundred and sixty samples from saliva and dental plaque were sellected from patients with caries active at ages from (4-65) years from Umm Qasr Primary School and Al-Ameria Specialist Dental Center in Baghdad. 15 isolates belong to Streptococcus mutans were identified by biochemical tests and Vitek 2 compact system while 22 isolates identified by using Polymerase Chain Reaction ﴾PCR﴿ techniques and sequencing of 16SrRNA with 120 bp by using 16SrRNA the result confermed that these isolates were belong to S.mutans.

 An oil spill is a leakage of pipelines, vessels, oil rigs, or tankers that leads to the release of petroleum products into the marine environment or on land that happened naturally or due to human action, which resulted in severe damages and financial loss. Satellite imagery is one of the powerful tools currently utilized for capturing and getting vital information from the Earth's surface. But the complexity and the vast amount of data make it challenging and time-consuming for humans to process. However, with the advancement of deep learning techniques, the processes are now computerized for finding vital information using real-time satellite images. This paper applied three deep-learning algorithms for satellite image classification

This research has been written as a fullfillment of the researchers
desire of joining the qurannic convoy servos each one from his own place and
this own field of specialization . she has found that the holly quraan is a
parctical field for theories and rules of old and modren phonetic studies also
she has becom a ware of the fact that the quraanic Important –making has
various aspects that neither can be a ware of nor can be vanished by the
courses of ages for science can flourish and reach tops to the extent they
don’t accept any new addition theories can be studied and given laws at last
except the quannice important – making which is new and discovered at
deferent times and places in spite of the shor

Önsöz
Ali Şir Nevai’nin vücuda getirdiği edebi Çağatayca, edebi ve canlı bazı Türk şivelerinin işlenmesinden ve kaynaşmasından hasıl olmuştur. Bu gün bu dilin
fonetik bünyesi hakkında, en çok bilgi veren, yine Nevai’nin kendisidir. Onun―Muhakeemet-ül-luğateyn‖ adlı eseri, bu bakımından büyük bir değer taşımaktadır.Bu eserinde Nevai, bir taraftan Türk dilinin Farsçaya üstünlüğünü ispata kalkışken, bir taraftan da kendi Türkçesinin fonetik ve morfolojik özelliklerini belirtmiştir. O, Arab imlası kaidesi üzerine ayni şekilde yazılarak, semantik yönden başka başka manalarda kullanılan kelimeleri sıralarken, açık bir surette, edebi Çağataya şivesinin fonetik bünyesini d

A medical- service platform is a mobile application through which patients are provided with doctor’s diagnoses based on information gleaned from medical images. The content of these diagnostic results must not be illegitimately altered during transmission and must be returned to the correct patient. In this paper, we present a solution to these problems using blind, reversible, and fragile watermarking based on authentication of the host image. In our proposed algorithm, the binary version of the Bose_Chaudhuri_Hocquengham (BCH) code for patient medical report (PMR) and binary patient medical image (PMI) after fuzzy exclusive or (F-XoR) are used to produce the patient's unique mark using secret sharing schema (SSS). The patient’s un

This paper is concerned with the quaternary nonlinear hyperbolic boundary value problem (QNLHBVP) studding constraints quaternary optimal classical continuous control vector (CQOCCCV), the cost function (CF), and the equality and inequality quaternary state and control constraints vector (EIQSCCV). The existence of a CQOCCCV dominating by the QNLHBVP is stated and demonstrated using the Aubin compactness theorem (ACTH) under appropriate hypotheses (HYPs). Furthermore, mathematical formulation of the quaternary adjoint equations (QAEs) related to the quaternary state equations (QSE) are discovere  so as its weak form (WF) . The directional derivative (DD) of the Hamiltonian (Ham) is calculated. The necessary and sufficient conditions for

     Cloth simulation and animation has been the topic of research since the mid-80's in the field of computer graphics. Enforcing incompressible is very important in real time simulation. Although, there are great achievements in this regard, it still suffers from unnecessary time consumption in certain steps that is common in real time applications.   This research develops a real-time cloth simulator for a virtual human character (VHC) with wearable clothing. This research achieves success in cloth simulation on the VHC through enhancing the position-based dynamics (PBD) framework by computing a series of positional constraints which implement constant densities. Also, the self-collision and collision wit

The theories and applications of speaker identification, recognition, and verification are among the well-established fields. Many publications and advances in the relevant products are still emerging. In this paper, research-related publications of the past 25 years (from 1996 to 2020) were studied and analysed. Our main focus was on speaker identification, speaker recognition, and speaker verification. The study was carried out using the Science Direct databases. Several references, such as review articles, research articles, encyclopaedia, book chapters, conference abstracts, and others, were categorized and investigated. Summary of these kinds of literature is presented in this paper, together with statistical analyses