Perspectives of Midwives and Nurse Practitioners in Kentucky on Exercise Counseling During Pregnancy: A Qualitative Study by Madhawa Perera, Taniya S. Nagpal, Maire M. Blankenship, Danilo V. Tolusso, Jordyn M. Cox, Dilini Prashadika, Mark Schafer, Rachel A. Tinius

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Implementation of Solar Heat Energy and Adsorption Cooling Mechanism for Milk Pasteurization Application by G. Ramkumar, B. Arthi, S. D. Sundarsingh Jebaseelan, M. Gopila, P. Bhuvaneswari, R. Radhika, Geremew Geidare Kailo

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Color Confinement, Hadron Dynamics, and Hadron Spectroscopy from Light-Front Holography and Superconformal Algebra by Stanley J. Brodsky

“…The QCD light-front Hamiltonian equation HLFΨ=M2Ψ derived from quantization at fixed LF time τ=t  +  z/c provides a causal, frame-independent method for computing hadron spectroscopy as well as dynamical observables such as structure functions, transverse momentum distributions, and distribution amplitudes. …”
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Modelling the Transmission Dynamics of Meningitis among High and Low-Risk People in Ghana with Cost-Effectiveness Analysis by Nicholas Kwasi-Do Ohene Opoku, Reindorf Nartey Borkor, Andrews Frimpong Adu, Hannah Nyarkoah Nyarko, Albert Doughan, Edwin Moses Appiah, Biigba Yakubu, Isabel Mensah, Samson Pandam Salifu

“…Thus, this article develops a mathematical model that ascertains the dynamics involved in meningitis transmissions by partitioning individuals into low- and high-risk susceptible groups. After computing the basic reproduction number, the model is shown to exhibit a unique local asymptotically stability at the meningitis-free equilibrium E†, when the effective reproduction number R0<1, and the existence of two endemic equilibria for which R0†<R0<1 and exhibits the phenomenon of backward bifurcation, which shows the difficulty of relying only on the reproduction number to control the disease. …”
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HISS: Snakemake-based workflows for performing SMRT-RenSeq assembly, AgRenSeq and dRenSeq for the discovery of novel plant disease resistance genes by Thomas M. Adams, Moray Smith, Yuhan Wang, Lynn H. Brown, Micha M. Bayer, Ingo Hein

“…Since the initial publication of the methodology, it has continued to be developed as new technologies have become available and the increased availability of computing power has made new bioinformatic approaches possible. …”
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SCovid v2.0: a comprehensive resource to decipher the molecular characteristics across tissues in COVID-19 and other human coronaviruses by Zijun Zhu, Xinyu Chen, Guoyou He, Rui Yu, Chao Wang, Changlu Qi, Liang Cheng

“…ABSTRACT SCovid v2.0 (http://bio-annotation.cn/scovid or http://bio-computing.hrbmu.edu.cn/scovid/) is an updated database designed to assist researchers in uncovering the molecular characteristics of coronavirus disease 2019 (COVID-19) across various tissues through transcriptome sequencing. …”
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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

“…Abstract Precise estimation of rock petrophysical parameters are seriously important for the reliable computation of hydrocarbon in place in the underground formations. …”
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Research on(t,k)-diagnosability for exchanged hypercube network by Xi XIONG, Jia-rong LIANG, Qiang MA

“…Fault diagnosis was an important part in the processing of network system repair.PMC was a diagnosis model which was simple and easy to be understood.Through analysis of the structure of exchanged hypercube,a generalization measure of fault diagnosis for the network system was provided,called (t,k)-fault diagnosis method.By computing,it is shown that EH(s,p) is <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mo>( </mo> <mrow> <msup> <mn>2 </mn> <mrow> <mfrac> <mrow> <mi>s </mi> <mo>+ </mo> <mi>p </mi> <mo>− </mo> <mn>1 </mn> </mrow> <mn>2 </mn> </mfrac> </mrow> </msup> <mo>,</mo> <mi>s </mi> <mo>+ </mo> <mn>1 </mn> </mrow> <mo>) </mo> </mrow> </math>-diagnosable and conditional <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mo>( </mo> <mrow> <mfrac> <mrow> <msup> <mn>2 </mn> <mrow> <mi>s </mi> <mo>+ </mo> <mi>p </mi> <mo>+ </mo> <mn>1 </mn> </mrow> </msup> <mo>− </mo> <mn>2 </mn> <mi>s </mi> </mrow> <mrow> <mi>p </mi> <mo>+ </mo> <mn>1 </mn> </mrow> </mfrac> <mo>,</mo> <mn>2 </mn> <mi>s </mi> </mrow> <mo>) </mo> </mrow> </math> -diagnosable,where 1≤s≤p.The result shows that the(t,k)-diagnosability of EH(s,p) is <math xmlns="http://www.w3.org/1998/Math/MathML"> <msup> <mn>2 </mn> <mrow> <mfrac> <mrow> <mi>s </mi> <mo>+ </mo> <mi>p </mi> <mo>− </mo> <mn>1 </mn> </mrow> <mn>2 </mn> </mfrac> </mrow> </msup> </math> ,which is bigger than its ordinary diagnosability s+1,and the conditional (t,k)-diagnosability is <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mfrac> <mrow> <msup> <mn>2 </mn> <mrow> <mi>s </mi> <mo>+ </mo> <mi>p </mi> <mo>+ </mo> <mn>1 </mn> </mrow> </msup> <mo>− </mo> <mn>2 </mn> <mi>s </mi> </mrow> <mrow> <mi>p </mi> <mo>+ </mo> <mn>1 </mn> </mrow> </mfrac> </mrow> </math>,which is bigger than its ordinary conditional diagnosability 4s-3.Above results present the important theory basis for fault diagnosis of exchanged hypercube network.…”
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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

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A Massively Parallel SMC Sampler for Decision Trees by Efthyvoulos Drousiotis, Alessandro Varsi, Alexander M. Phillips, Simon Maskell, Paul G. Spirakis

“…A widely used approach to reducing an algorithm’s runtime is to employ modern multi-core computer architectures, either with shared memory (SM) or distributed memory (DM), and use parallel computing to accelerate the algorithm. …”
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Balanced Performance Merit on Wind and Solar Energy Contact With Clean Environment Enrichment by Priyan Malarvizhi Kumar, M. M. Kamruzzaman, Badria Sulaiman Alfurhood, Bakri Hossain, Harikumar Nagarajan, Surendar Rama Sitaraman

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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

“…This approach is particularly advantageous for deployment in massively parallel high-throughput synthesis facilities and advanced computing architectures.…”
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Three-Dimensional Inversion of Borehole-Surface Resistivity Method Based on the Unstructured Finite Element by Zhi Wang, Sinan Fang

“…The quasi-Newton method with limited memory (L_BFGS) is used to optimize the objective function in the inversion calculation, and a double-loop recursive method is used to solve the normal equation obtained at each iteration in order to avoid computing and storing the sensitivity matrix explicitly and reduce the amount of calculation. …”
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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

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Bibliometric Analysis on ChatGPT Research with CiteSpace by Dongyan Nan, Xiangying Zhao, Chaomei Chen, Seungjong Sun, Kyeo Re Lee, Jang Hyun Kim

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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems by Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui

“…The main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information security. The original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI mechanisms. …”
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Implementation of an information system for tuberculosis in healthcare facilities in Indonesia: evaluation of its effectiveness and challenges by Rita Dian Pratiwi, Bachti Alisjahbana, Yanri Wijayanti Subronto, Sigit Priyanta, Suharna Suharna

“…SITB utilization is comprehensively assessed using the End-User Computing Satisfaction (EUCS) method, which considers the dimensions of content, accuracy, timeliness, and ease of use. …”
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Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications by Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya

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ASSESSING THE RESULTS OF TRAINING IN DIGITAL ENTREPRENEURSHIP IN THE AGE OF HIGH AND DEEP TECH by Oleg Kaminsky, Julia Yereshko, Sergii Kyrychenko, Maryna Duchenko

“…The article proposes a method of assessing the level of competences of students of economic specialties in the field of learning digital entrepreneurship based on soft computing, and also formulates the key basic competencies that arise during the online course of digital entrepreneurship, which are based on the latest development trends in the field of IT. …”
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Solar Power Generation in Smart Cities Using an Integrated Machine Learning and Statistical Analysis Methods by Ahmad Almadhor, K. Mallikarjuna, R. Rahul, G. Chandra Shekara, Rishu Bhatia, Wesam Shishah, V. Mohanavel, S. Suresh Kumar, Sojan Palukaran Thimothy

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