Enhancing flood susceptibility mapping in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms by Abu Reza Md. Towfiqul Islam, Md. Uzzal Mia, Nourin Akter Nova, Rabin Chakrabortty, Md. Sanjid Islam Khan, Bonosri Ghose, Subodh Chandra Pal, A. B. M. Mainul Bari, Edris Alam, Md Kamrul Islam, Mohammed Ali Alshehri, Hazem Ghassan Abdo, Romulus Costache

“…The present work will aid decision-makers and local authorities determine flood conditioning problems and efficient flood risk management to lessen the consequences.…”
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Debriefing Methodologies in Nursing Simulation: An Exploratory Study of the Italian Settings by Sonia Lomuscio, Emanuele Capogna, Stefano Sironi, Marco Sguanci, Sara Morales Palomares, Giovanni Cangelosi, Gaetano Ferrara, Stefano Mancin, Antonio Amodeo, Anne Destrebecq, Mauro Parozzi, Susy Dal Bello

“…<b>Background:</b> As part of simulation-based learning, it is well known that debriefing plays a crucial role; ineffective debriefing can lead to a reiteration of errors in decision-making and a poor understanding of one’s limitations, compromising the learner’s psychological safety and making future simulated learning experiences less effective. …”
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State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework by Bohan Shao, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, Jingying Xie

“…This enables the model to provide a more transparent decision-making process, assisting in the discovery and interpretation of key features within battery SOH estimation. …”
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Public perceptions and influencing factors of seasonal influenza vaccine uptake in Makkah region, Saudi Arabia: a cross-sectional study by Mohammed S. Alharthi, Abdullah A. Alshehri, Fahad H. Baali, Nawaf Awd Altuwairqi, Meshari Hassan Altalhi, Rayan Azib Almalki, Meshal Khalid Aljuaid, Majed A. Algarni, Mohmmed S. Alzahrani, Nasser M. Alorfi, Wadia S. Alruqayb

“…An online questionnaire was used, targeting residents aged 18 and over with internet access. A snowball sampling method was applied. Data were collected via Google Forms and analyzed using SPSS version 26, employing descriptive statistics such as frequencies, percentages, and means.ResultsThe total number of respondents is 450 participants, with a response rate of 4.5%. …”
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Environmental factors determining the distribution patterns of invasive Raphidiopsis raciborskii and R. mediterranea in central east Europe by Mikołaj Kokociński, Caio Graco-Roza, Caio Graco-Roza, Iwona Jasser, Jūratė Karosienė, Jūratė Kasperovičienė, Justyna Kobos, Judita Koreivienė, Joanna Mankiewicz-Boczek, Janne Soininen, Agnieszka Szczurowska

“…Here, we aimed to characterize the distribution and biomass of R. raciborskii and R. mediterranea across 112 lakes in Poland and Lithuania in relation to local and regional factors.Research design and methodsIntegrated water samples were collected from 102 Polish and 10 Lithuanian lakes from different regions for phytoplankton and chemical analyses. …”
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Machine learning classification algorithm screening for the main controlling factors of heavy oil CO2 huff and puff by Peng-xiang Diwu, Beichen Zhao, Hangxiangpan Wang, Chao Wen, Siwei Nie, Wenjing Wei, A-qiao Li, Jingjie Xu, Fengyuan Zhang

“…The results demonstrated that logistic regression encounters difficulties when dealing with nonlinear data, whereas the extreme gradient boosting and gradient boosting decision tree algorithms exhibit greater sensitivity to abnormal data. …”
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GO-GREEN GASTRONOMY DELIVERY: THE ROLE OF GREEN-PACKAGE DESIGN ENHANCING QUALITY AND VALUE CREATION ON BANG SAEN’S TOURIST DESTINATION by Parinya NAKPATHOM, Kannapat KANKAEW, Charlton BRUTON, Ali Mohsin Salim Ba AWAIN, Ali Said JABOOB, Hyewon JANG, Chee Keng LEE

“…The study focused on Bang Saen area along the east coast of Thailand. The sample groups were tourists experiencing green gastronomy services during their stays. …”
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Predictive modeling of oil rate for wells under gas lift using machine learning by Famin Ma, Farag M. A. Altalbawy, Pinank Patel, R. Manjunatha, Rishiv Kalia, Shoira Formanova, P. Raja Naveen, Kamal Kant Joshi, Aashna Sinha, Abdolali Yarahmadi Kandahari, Taqi Mohammed Khattab Al-Rubaye, Mohammad Mahtab Alam

“…The dataset, comprised of 169 rigorously validated samples, includes key features such as basic sediment and water content, choke size, pressures, gas injection characteristics, gas lift valve depth, oil density, and temperature. …”
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Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency by Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li

“…Graph neural networks could compare the difference among all samples (nodes in graph) and transmit the interrelationship among them to obtain a global landscape. …”
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Glucose Lowering Therapeutic Strategies for Type 2 Diabetic Patients with Chronic Kidney Disease in Primary Care Setting in France: A Cross-Sectional Study by N. Grandfils, B. Detournay, C. Attali, D. Joly, D. Simon, B. Vergès, M. Toussi, Y. Briand, O. Delaitre

“…A multicenter cross-sectional study was conducted from March to June 2011 among a sample of French GPs who contribute to the IMS Lifelink Disease Analyzer database. …”
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Using Machine Learning for Analysis of Wideband Acoustic Immittance and Assessment of Middle Ear Function in Infants by Shan Peng, Yukun Zhao, Xinyi Yao, Huilin Yin, Bei Ma, Ke Liu, Gang Li, Yang Cao

“…While not intended for diagnosing specific pathologies, the approach provides valuable insights to guide follow-up testing and clinical decision-making, supporting the early identification and management of auditory conditions in newborns.…”
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DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals by Jiashuo Wu, Jiyin Lai, Xilong Zhao, Ziyi Wang, Yongbao Zhang, Liqiang Wang, Yinchun Su, Yalan He, Siyuan Li, Ying Jiang, Junwei Han

“…Further, this work demonstrates the applicability of DeepCCDS on solid tumor samples from The Cancer Genome Atlas. This work believes integrating DeepCCDS into clinical decision‐making processes can potentially improve the selection of personalized treatment strategies for cancer patients.…”
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A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning by Jing Yang, Haoshen Qin, Yiping Sun, Hao Wang, Abdullah Ayub Khan, Lip Yee Por, Roohallah Alizadehsani, Pawel Plawiak

“…We implement a Reinforcement Learning (RL)-based strategy to address an imbalance caused by more fake than real samples in the discriminator. This RL approach, novel in the context of GANs for summarization, views training as a sequence of interconnected decisions, treating each sample as a unique scenario. …”
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A comparative framework to develop transferable species distribution models for animal telemetry data by Joshua A. Cullen, Camila Domit, Margaret M. Lamont, Christopher D. Marshall, Armando J. B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen M. Hart, Mariana M. P. B. Fuentes

“…In predictive modeling, practitioners often use correlative SDMs that only evaluate a single spatial scale and do not account for differences in life stages. These modeling decisions may limit the performance of SDMs beyond the study region or sampling period. …”
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A Consumer Search Behavior Model in the Online Space for Experience-based and Search-based Products by Hashem Aghazadeh, Sajad Khani Pordanjani, Mozhde Khoshnevis

“…Although the Internet is an important source of information for both search and experiential goods, the type of information that consumers seek and how they make decisions about these two types of goods are different. …”
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Why do older adults hesitate to get the flu vaccine? A cross-sectional study on vaccine hesitancy in the post-COVID-19 era by Xinyue Wang, Sanmei Wen, Jiaqian Wu, Ziyi Cui, Hong Shen, Shiyao Hu, Shujun Zeng, Yan Tang

“…Participants were recruited through stratified random sampling. Inclusion criteria were: community-dwelling adults aged ≥60 years in Xuhui District. …”
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Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan’s resource-limited settings by Khaloud Tariq, Huma Tahir, Ushna Malik, Kanza Iqbal, Aqsa Shabbir, Arooj Ul Hassan

“…Abstract Background Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. …”
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Knowledge and associated factors of patients toward informed consent in obstetric and gynecologic surgical procedures at Debre Markos Comprehensive Specialized Hospital, Ethiopia by Addisu Andualem Ferede, Mamaru Getie Fetene, Endinew Beka Mehiretie, Worku Taye Getahun, Aysheshim Asnake Abneh

“…BackgroundInformed consent (IC) is a principle in medical ethics and medical law that a patient must have adequate information and understanding before making decisions about their medical care. It is very essential for both clinician and patient in surgery and should be seen as a usual activity. …”
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Deletion of target gene (histidine-rich protein 2/3) for Plasmodium falciparum rapid diagnostic tests in Amhara region, Ethiopia: a cross-sectional study by Aderaw Adamu, Getaneh Alemu, Mulat Yimer, Banchamlak Tegegne, Sindew Mekasha

“…These 123 discordant samples and 87 samples with concordant RDT and microscopy-positive results (total 210) were recruited for the pfhrp2/3 gene deletion study using PCR. …”
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Breast Cancer Knowledge and Attitude Toward Breast Cancer Screening Practice Among Catholic Nuns in Lake Zone—Tanzania by Gotfrida Marandu, Kija Malale, Rose Laisser, Joseph Mwanga, Peter Rambau

“…To ensure a representative sample, nuns were chosen through simple random sampling, giving each Catholic nun an equal probability of being selected. …”
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