Study on the mechanical traits, failure mechanisms, energy responses, and influencing factors of columnar jointed basalts under direct and indirect tensile conditions by Dan Liang, Dan Liang, Dan Liang, Haiqing Yang, Haiqing Yang, Zekang Ping, Zekang Ping, Yongyi Wang, Yongyi Wang, Kanglei Song, Kanglei Song, Chiwei Chen, Chiwei Chen, Hao Li, Hao Li, Xingyue Li, Xingyue Li, Lixin Peng, Lixin Peng, Anhua Ju, Anhua Ju

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An Empirical Analysis of Herding Behavior in the Stock Market: Evidence from Various Economic and Social Conditions in Iran by Majid Aghaei

“…Given the critical role of the capital market and its investors as key players in the economy, it is essential to examine their behavior to promote optimal decision-making and ensure proper market functioning. This study utilizes behavioral finance theories and analyzes data related to TSE to investigate investor behavior through the lens of herding behavior. …”
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Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

“…The state of manufacturing resources is listed, and the precedence constraints of features’ operations are analyzed. …”
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A Jurisprudential and Legal Inquiry into the Foundations and Limits of the Liability of Manufacturers of Internet of Things Devices by Zahra Sadat Mirhashemi, Fatemeh Najib Zadeh, Moein Gholamalipour

“… ‌ ∴ Methodology & Framework, if Applicable ∴ ‌This research employs a doctrinal legal methodology, utilizing comprehensive library-based resources to analyze and propose theories related to manufacturer liability in the IoT sector.‌ ∴ Results & Discussion ∴ ‌The research demonstrates that relying solely on the principle of destruction "It’laf" (causing loss) in Islamic jurisprudence is insufficient to establish the liability of IoT device manufacturers. …”
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Enhancing Conservation Efforts in the Qinling Mountains Through Phenotypic Trait Diversity Optimization by Sibo Chen, Xin Fu, Kexin Chen, Jinguo Hua, Qian Rao, Xuewei Feng, Wenli Ji

“…Utilizing diverse types of research data can effectively enhance the recognition of hotspots and conservation gaps. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…Utilizing R software, we performed an initial screen for differentially expressed genes (DEGs), which was followed by the enrichment analyses to elucidate the affected functions and pathways. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…The AMA employs both quantitative and qualitative methods for operational risk modeling, leveraging databases to collect statistical data and utilizing the loss distribution approach (LDA) to model frequency and severity distributions. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…The global market's increasing demand, diverse resource supply options, global competition, and environmental protection needs are driving organizations to adopt sustainable strategies. …”
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Use ATCCfinder to identify commercially available American Type Culture Collection strains based on sequence queries by Samuel I. Koehler, Earl A. Middlebrook, Blake T. Hovde, Erik R. Hanschen

“…ATCCfinder efficiently accesses, queries, and summarizes ATCC resources, identifying purchasable strains homologous to historical sequences, functional genes, operons, and other genetic components.…”
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Thermodynamics and Adsorption of Fe2+ from Oilfield Produced Water using Clay-derived Zeolite by Kingsley Ifeanyi Osuala, Akindele Oyetunde Okewale

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A study on neutrosophic $$\mathscr {T}_{\textrm{1k}}$$ -semantic segmentation for iris image recognition with Gaussian and Poisson noises by Vinoth Dhatchinamoorthy, Ezhilmaran Devarasan, Asima Razzaque, Saima Noor

“…Abstract In this article, we introduce an innovative methodology for image segmentation utilizing neutrosophic sets. Neutrosophic set components exhibit superior reliability in image processing due to their adeptness at managing uncertainty. …”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…The inventory balance index was established based on the standard deviation of the number of steel plates allocated to each reservoir to fully mobilize and balance material storage resources during operation. These three indices were utilized to evaluate the degree of stack allocation and served as the objective function to establish a multi-objective decision optimization model for the stack allocation problem of steel plates. …”
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Integrated in silico identification of cholinesterase inhibitors from Nyctanthes arbor-tristis. by Qazi Mohammad Sajid Jamal, Ali H Alharbi, Varish Ahmad, Khurshid Ahmad

“…This study utilizes an in silico methodology to investigate new cholinesterase inhibitors sourced from Nyctanthes arbor-tristis, a plant known for its abundant bioactive phytochemicals. …”
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Identification of heterogeneity and common characteristics in colorectal carcinoma located in distinct sites by Yuqi Luo, Yiwen Huang, Yanbo Luo, Yating Yin, Peter Wang

“…We isolated 344 tumor and 54 normal cases spanning seven locations: sigmoid, ascending, caecum, rectum, transverse, descending, and recto-sigmoid. Cell biological functions were assessed utilizing CCK8, EdU assays, Transwell assays, and wound healing assays. …”
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Psycho-Theological Learning Model to Improve Mental Resilience in Muslim Adolescents by Muhammad Zamzam, Winsidi Winsidi

“…Data were sourced from purposively selected teachers and students actively engaged in faith-based character education programs. …”
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Synthesis and characterization of dicalcium phosphate dihydrate from marine mollusks (Conasprella bermudensis and Oliva Sayana) by Md. Kawsar, Md. Sahadat Hossain, Tasnimul Quader Tazim, Nazim Uddin, Newaz Mohammed Bahadur, Samina Ahmed

“…FTIR spectra confirmed the presence of key functional groups, including P–O, CO32−, OH−, and H2O. …”
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Pathology-specific experimental antivenoms for haemotoxic snakebite: The impact of immunogen diversity on the in vitro cross-reactivity and in vivo neutralisation of geographically... by Nessrin Alomran, Jaffer Alsolaiss, Laura-Oana Albulescu, Edouard Crittenden, Robert A Harrison, Stuart Ainsworth, Nicholas R Casewell

“…Two different immunogen mixtures, consisting of seven and twelve haemotoxic venoms sourced from geographically diverse and/or medically important snakes, were used to raise ovine polyclonal antibodies, prior to characterisation of their immunological binding characteristics and in vitro neutralisation profiles against each of the venoms. …”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

“…As such, we apply stacked generalization consisting of nearly identical ResNets with different loss functions: one utilizing sparse cross-entropy (CXE) and the other Kullback-Liebler Divergence (KLD). …”
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Causal relationship between immune cells and acute myeloid leukemia: a two-sample Mendelian randomization study by Fanhua Yu, Hao Jiang, Yena Gu

“…Pooled phenotypic data from 3,757 individuals in a Sardinian cohort, encompassing 731 immune cell phenotypes, were utilized. Aggregate data on AML were sourced from the FinnGen project of the Finnish Biobank. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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