The Impact of Cultivated Land Fragmentation on Farmers’ Ecological Efficiency of Cultivated Land Use Based on the Moderating and Mediating Effects of the Cultivated Land Management... by Xianhui Hu, Xiaxia Lin, Gaohui Wen, Yi Zhou, Hao Zhou, Siqi Lin, Dongyang Yue

“…Based on 2023 household data from Changde and Shaoyang, China, empirical tests were conducted using the stochastic frontier analysis method, Tobit model, and structural equation model. …”
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Paradigm predictive analysis of two-phase Eyring–Powell fluid flow over a vertical stretching sheet with temperature-dependent viscosity by multilayer neural networks by Zahoor Shah, Hamza Iqbal, Waqar Azeem Khan, Taseer Muhammad, Muhammad Shoaib

“…PDEs are converted into nonlinear ODEs with similarity transformations, which are solved using the Adam method in Mathematica with varied physical parameters to generate a reference dataset. …”
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Study on Influence of Grouting on Mechanical Characteristics and Stress Concentration in Hole-Containing Rock by Yanshuang Yang, Zhaopeng Kang, Shili Qiu, Lei Yan, Jiancheng Peng

“…Based on the experimental results, discrete element method (DEM) models were established for the three types of specimens, revealing the mesoscopic crack propagation mechanisms and stress distribution in potential stress concentration zones during failure. …”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…We analyzed seven days of preceding data to predict next-day WASO using various machine learning approaches including ARIMA, Random Forest, XGBoost, GRU, TCN, Transformers, and LSTM models.ResultsAmong HRV features, the low-frequency to high-frequency (LF/HF) ratio emerged as the strongest correlate with WASO, showing statistically significant differences between groups (Lower LF/HF: 7.5±2.0 min vs. …”
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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals by Simfukwe C, An SSA, Youn YC

“…Chanda Simfukwe,1 Seong Soo A An,1 Young Chul Youn2 1Department of Bionano Technology, Gachon University, Seongnam-si, South Korea; 2Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South KoreaCorrespondence: Young Chul Youn, Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea, Email neudoc@gmail.comPurpose: This study aims to investigate using eyes-open (EO) and eyes-closed (EC) resting-state EEG data to diagnose cognitive impairment using machine learning methods, enhancing timely intervention and cost-effectiveness in dementia research.Participants and Methods: A total of 890 participants aged 40– 90 were included in the study, comprising 269 healthy controls (HC), 356 individuals with mild cognitive impairment (MCI), and 265 with Alzheimer’s disease (AD) from a cohort study. …”
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Alpha Smooth Muscle Actin Expression in a Case of Ameloblastic Carcinoma: a Case Report by Swati Roy, Vipul Garg

“…Background: The aim of the present article is to report a case of ameloblastic carcinoma and use a marker alpha smooth muscle actin as a tool to differentiate cases of ameloblastic carcinoma from that of ameloblastoma. Methods: Case study reporting a case of ameloblastic carcinoma (AC) with expression of alpha smooth muscle actin (alpha-SMA) as a marker for emergence of stromal myofibroblasts. …”
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Venture capital as a way to develop an innovative model of the Russian economy by L. K. Bzegezheva

“…The objectives of the study include identifying the role and significance of venture capital in the Russian economy transformations. The author used the methods of statistical, financial, dialectical and logical analysis. …”
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metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

“…MetagenomeSeq, edgeR, DESeq2 and Lefse) achieved high sensitivity, they often failed to adequately control the FDR. In contrast, our method demonstrated high sensitivity and specificity when compared to other approaches that successfully controlled the FDR, including ALDEx2, limma-voom, ANCOM, and ANCOM-BC2. …”
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Fintech framing financial ecologies: Conceptual and policy-related implications by Marta Gancarczyk, Óscar Rodil-Marzábal

“…PURPOSE: Financial ecologies (FEs) are place-based governance forms of financial services provision, currently undergoing a transformation through financial technologies (Fintech). …”
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Association of gene polymorphism in ERG rs2836411 with anemia and susceptibility to aortic dissection by Ying Wang, Gaoshan Li, Fangzheng Zeng, Kunyan Li, Wenxu Pan, Mingle Zhang, Hao Yang, Jun Jin

“…Abstract Background The erythroblast transformation-specific related gene (ERG) is expressed in hematopoietic stem and progenitor cells and endothelial cells. …”
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Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space by Aliya Mhd Zahir, Hiroaki Somura, Toshitsugu Moroizumi

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Effect of heat production on MHD natural convection transport of nanofluid flow via a vertical uniform perforated plate: An unsteady analysis by Ashish Barmon, Md Kamrul Hasan, Md Hasibul Haque, Md Hasanuzzaman

“…The ordinary differential equations (ODEs) are derived from the partial differential equations (PDEs) by using of the similarity transformation. The dimensionless ordinary differential equations (ODEs) may be numerically resolved with the help of the MATLAB ODE45 tool and the finite difference method (FDM) along with the shooting strategy. …”
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Discussion on high hydrocarbon generation efficiency of saline lacustrine source rocks with low TOC: A case study of the second member of Funing Formation, Qintong Sag, Subei Basin by GAO Yuqiao, HE Xipeng, CHENG Xiong, TANG Xuan, HUA Caixia, ZAN Ling, ZHANG Peixian, CHEN Xuewu, PANG Yiwei

“…These variations are attributed to differences in the type of organic matter and the hydrocarbon generating activation energy, leading to a higher hydrocarbon transformation rate and TOC recovery coefficient in shales compared to mudstones.…”
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Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation by Stephanie Batista, Miguel Couceiro, Ricardo Filipe, Paulo Rachinhas, Jorge Isidoro, Inês Domingues

“…Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imaging by enabling precise liver segmentation, a crucial task for diagnosing and treating liver diseases. …”
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Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

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Enhancement in heat generation through ternary hybrid nanofluid in a periodic channel by Anum Tanveer, Iram, M.Z. Alqarni, S. Saleem, A. Al-Zubaidi

“…The governing equations of the system are transformed into dimensionless form and solved numerically using the NDSolve in Mathematica, based a fourth-order Runge-Kutta method for accurate and efficient results. …”
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Phenomenological Analysis of Lived Experience of Cancer: A Case Study of Patients at Ayatollah Kashani Hospital in Shahrekord by Hedari Arman, Sayedeh Sapideh Hashemi

“…Consequently, a non-random, purposeful sampling method was employed. Data collection involved two primary techniques: comprehensive observation and semi-structured interviews. …”
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Comparative Evaluation of Qualitative and Nutraceutical Parameters in Fresh Fruit and Processed Products of ‘Lady Cot’ and Vesuvian ‘Pellecchiella’ Apricot Cultivars by Aniello Falciano, Aurora Cirillo, Mariachiara Ramondini, Prospero Di Pierro, Claudio Di Vaio

“…Jam preparation is an ideal method to preserve apricots, and understanding their functional properties is crucial for achieving high-quality products. …”
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Understanding family functioning in mothers and daughters with obesity by Becky Marquez, Florencia Lebensohn-Chialvo, Tala Al-Rousan

“…Purpose This study sought to understand family functioning surrounding weight in Mexican American women with obesity. Methods Semi-structured in-depth interviews were conducted with mothers and adult daughters (N = 116). …”
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Constructing an artificial intelligence-assisted system for the assessment of gastroesophageal valve function based on the hill classification (with video) by Jian Chen, Ganhong Wang, Kaijian Xia, Zhenni Wang, Luojie Liu, Xiaodan Xu

“…McNemar’s test showed a significant difference in classification performance between the model and junior endoscopists (p < 0.05), but no significant difference between the model and senior endoscopists (p ≥ 0.05). …”
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