The impacts of specific place visitations on theft patterns: a case study in Greater London, UK by Tongxin Chen, Kate Bowers, Tao Cheng

“…An explainable machine learning approach was applied to analyse the impacts of place visitations on theft levels: the ‘XGBoost’ algorithm trained a high-performance regression model and ‘SHapley Additive exPlanations’ (SHAP) values were measured to identify the contributions of different visitation variables to theft levels at specific spatial and temporal scales. …”
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Genetic diversity and nutritional analysis of sweet potato [Ipomoea batatas (l.) Lam.] genotypes in Abakaliki, Nigeria by Mulugeta Adamu Merga, Issa Zakari Mahaman Mourtala, Wosene Gebreselassie Abtew, Happiness Ogba Oselebe

“…Conclusion Overall, variability was observed among the studied sweet potato accessions based on agro-morphological, nutritional traits and the SSR markers used. …”
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Adaptation and modification of the professional identity formation scale for postgraduate trainees in basic health science: a mixed method study by Uzma Siddique, Usman Mahboob, Naheed Mahsood, Bushra Mehboob, Ayesha S Abdullah, Munazza Baseer

“…Yet, appropriate measurement tools are lacking. This research aimed to adapt and modify an existing PIF scale to assess the professional identities of postgraduate basic health sciences trainees. …”
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Spatio-temporal variations in past extreme tree-growth reduction events and their resilience components over northern high-latitude regions by Shunsuke Tei

“…Despite decades of research on temporal variability, the long-term stability and regional representativeness of resilience components remain poorly understood, limiting our ability to predict future forest resilience. …”
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Predicting High-Cost Healthcare Utilization Using Machine Learning: A Multi-Service Risk Stratification Analysis in EU-Based Private Group Health Insurance by Eslam Abdelhakim Seyam

“…The models used a comprehensive set of predictor variables including demographics, policy profiles, and patterns of service utilization across multiple domains of healthcare. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…For example, the R2 for COD prediction is 0.99954, while the R2 values for NH4 +-N, TP, and TN predictions reach 0.99989. …”
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Evaluation of seed germination and growth activity of plants of Dianthus awaricus Khar. in the conditions of inner mountain Dagestan by R. M. Osmanov, Z. A. Guseynova, A. N. Alibegova

“…Aim. Study of the growth dynamics of Dianthus awaricus plants in field experimental conditions and of laboratory germination of seeds obtained in the introduction experiment.Material and Methods. …”
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Predicting large-scale spatial patterns of marine meiofauna: implications for environmental monitoring by Fabiane Gallucci, Gustavo Fonseca, Danilo C Vieira, Luciana Erika Yaginuma, Paula Foltran Gheller, Simone Brito, Thais Navajas Corbisier

“… This study aims model the distribution of meiofauna indicators in relation to environmental variables from the Santos Basin continental margin, SE Brazil, using machine learning techniques, to provide baseline information and foster future monitoring programs. …”
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External validation of the PAR-Risk Score to assess potentially avoidable hospital readmission risk in internal medicine patients. by Lukas Higi, Angela Lisibach, Patrick E Beeler, Monika Lutters, Anne-Laure Blanc, Andrea M Burden, Dominik Stämpfli

“…Statistical associations between predictor variables and PAR as outcome were assessed using both univariable and multivariable logistic regression.…”
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Evaluating the Quality of Life in Advanced Laryngeal and Oral Cancer Undergoing Extensive Surgeries by Usha Armo, Harbansh Kumar Singh, Arpita Singh, Nageshwar Venkatesh Reddy, Sushil Kumar Sahoo, AR Lingaraju, Mahesh Ghadage, Dipooja Patil

“…Arbitrary values for QoL scores ranged from 0 (worst) to 100 (best). …”
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Motivations and Attitudes Toward Further Education: A Cross-Sectional, Descriptive Predictive Study by Ivana Sušilović, Marija Ljubičić, Tatjana Matijaš, Ivana Bokan, Mario Marendić

“…<b>Objectives</b>: This study aimed to examine the relationships among nurses’ personal factors, motivations, and attitudes toward further education. …”
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Assessment of MELD Scores as Predictors of Mortality in Patients with Decompensated Chronic Liver Disease with Variceal Hemorrhage at a third-level care center. by Laura V. Cupil-Escobedo, Karina Cazarin-Chavez, María F. Higuera-De La Tijera

“…Hemoglobin level has been used to classify severity; however, it is unreliable. This study aims to evaluate MELD scores as predictors of mortality in patients with variceal hemorrhage. …”
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Nursing Students’ views on Code of Ethics, Commitment to the Ethic of, Academic Dishonesty and Neutralization behaviors by Nasrin Mokhtari Lakeh, Mehran Nafar, Atefe Ghanbari Khanghah, Ehsan Kazemnezhad Leili

“…Introduction: Commitment to the ethics of caring in nursing profession is the center of nursing values and it necessitates honesty as its fundamental element. …”
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RELIABILITY AND VALIDITY OF VARIOUS FORCE-TIME INDICATORS FOR THE ASSESSMENT OF FINGER AND SHOULDER GIRDLE STRENGTH IN CLIMBING by Michail Michailov, Jiří Baláš

“…Intersession reliability of the finger fl exor T50%BW and T75%BW reached excellent values (ICC = .949 and ICC = .978, respectively). …”
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Early Death Among COVID-19 Patients: A Cross-sectional Analysis of the First 10,000 COVID-19 Deaths from the Indian State of Tamil Nadu by Zarin Pilakkadavath, Janice M. Weinberg, Serin Kuriakose, Shahul H. Ebrahim, Lekha D. Bhat, Bindhya Vijayan, Salman Khan, Soji D. Jose, Premini Rajeev, Jinbert L. Azariah, Shaffi Fazaludeen Koya

“…Methods We conducted a cross sectional analysis of state government administrative data to describe deaths, examine the differences between early deaths and non-early deaths, and calculate the risks of early death for several independent variables. All p-values < 0.05 were considered statistically significant. …”
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Parallel Hatching: A New Method of Hand Deformity Surgery in Epidermolysis Bullosa by Siamak Farokh Forghani, MD, Rana Irilouzadian, MD, Ali Shabbak, MD, Amir Saraee, MD

“…Treatment is a challenge in the hand surgery field because of the recurring nature of this inherited disease. We aim to evaluate the results of our surgery method for the hand deformities in EB patients. …”
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Estimating Energy Consumption During Soil Cultivation Using Geophysical Scanning and Machine Learning Methods by Jasper Tembeck Mbah, Katarzyna Pentoś, Krzysztof S. Pieczarka, Tomasz Wojciechowski

“…Among these, SVM achieved the best performance, showing a MAPE of 4% and a strong correlation (R = 0.97) between predicted and actual productivity values. For fuel consumption, the optimal method was MLP (MAPE = 4% and R = 0.63). …”
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Using ecological niche modeling to model invasion risk of hornets (Hymenoptera: Vespidae) in Iran by Ehsan Rahimi, Chuleui Jung

“…Using ecological niche modeling, we analyzed species occurrence data alongside climatic variables with minimal correlation to predict the potential distribution of these hornets across Iran. …”
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Morphological Model for Erosion Prediction of India’s Largest Braided River Using MIKE 21C Model by Kuldeep Pareta

“…Model runs were conducted to predict design variables across these river reaches, encompassing different hydrological scenarios and development-planning scenarios. …”
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Response Surface Optimization of CuS Photocatalytic Process Using UV‐vis Irradiation for Wastewater Treatment by Caressa Munien, Emmanuel Kweinor Tetteh, Sudesh Rathilal

“…The efficiency of the CuS photocatalyst was evaluated as a function of three input variables viz. (A) catalyst load (1–2 g/L), (B) mixing speed (60–120 rpm), and (C) exposure time (10–60 min) by using Box–Behnken design (BBD) adapted from RSM. …”
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