Air convection in snow cover of sea ice by P. V. Bogorodskiy, V. A. Borodkin, V. Yu. Kustov, A. A. Sumkina

“…Based on data of ice and meteorological observations made in the winter of 2015/16 in the Western part of the Laptev Sea together with calculations of the fast ice evolution, the values and temporal variability of temperature gradients and the Rayleigh numbers in the snow cover were obtained using a thermodynamic model. …”
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Analysis of the Impact of MSMEs, Wage Levels, Population Size, and Education Levels on Unemployment in East Java Province by Marisa Kurniawati, Muhammad Arif

“…Findings reveal that the independent variables collectively influence unemployment rates, as evidenced by an F-statistic of 10.87244 and a p-value of 0.000000, signifying strong statistical relevance. …”
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AUTOMOTIVE MARKET CHARACTERISTICS WITH SPECIAL REFERENCE TO THE ELECTRIC VEHICLE MARKET by Josipa Višić, Ivana Stanić

“…In this sense, electric cars represent an important segment of the observed market, and over time, it is expected that all producers will focus on this type of vehicle. …”
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The Effect of 12 Weeks of Wrestling+ Specific Warm-Up Program on Dynamic Balance in Cadet Wrestlers by Rasoul Bayati, Ali Shamsi Majelan, Bahman Mirzaei

“…The Intervention group performed a Wrestling+ warm-up program for 12 weeks, three times a week and the control group performed routine warm-up during the same period. …”
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Evaluation the correlation between Inulin and Cystatin C with kidney function tests and GFR in patients with renal disorders by Nawar Mohsin Abd-alaziz, Wasan Nazhan Hussein

“… Background: Kidneys are important organs in the human body because of their great importance in assisting the body to remove waste products that resulting from food metabolism through renal filtration of blood plasma from unwanted substances and excreted through diuresis and recover substances that body needs to the blood, relative effectiveness of the kidney can be estimated by measuring the efficiency of glomerular filteration rate (GRF), represented by amount of inulin filtrate into renal tubules for a specified period of time, any difference in normal value indicates the presence of a disorder in the kidney, which affects on performance of its functions and occurrence of imbalance in internal environment of the body, and leads to disrupting functions of other parts of the body, measuring rate of renal filtration is one of the best ways to know function of the kidneys and diagnose various kidney diseases and prevent their development. …”
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Multiscale risk assessment for subway station construction: safety management and sensitivity analysis by Ping Wu, Yinqi Chen, Yan Liu, Ningfeng Zhang, Qiang Li, Yidong Xu

“…Multiscale risk assessment, as an important method for analysing the evolution of safety risk behaviours, can accurately capture the complexity and variability of risks over time and space. It has become an indispensable tool in risk management research. …”
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Photocatalytic Efficiency of TiO2-Biomass Loaded Mixture for Wastewater Treatment by Devagi Kanakaraju, Soon Pang Wong

“…Given that the highest removal was produced using this mixture sample, further optimisation of sago wastewater treatment was conducted by varying the independent variables, namely, dosage and contact time. Under this optimum condition, 0.10 g of 0.2 g/L TiO2/1% MSB had successfully reduced 52.83% COD in 120 min. …”
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Site Selection of Appropriate Locations for Development of Orchards Using GIS & RS, by Emphasizing Climatic Factors (Case study: Walnut - Tehran Province) by Fatemeh Falahati, Bahlool Alijani, Manizha Ghohrodi Tali, Mohammadjavad Barati

“…Climatic factors are the most important variables among effective factors in agricultural production, which cost us too much to control. …”
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Biochar as an alternative substrate for the production of sugarcane seedlings by Mauro F. C. Mota, Eulina F. Damião, Matheus R. Torres, Rodinei F. Pegoraro, Leidivan A. Frazão, Luiz A. Fernandes

“…To this end, an experiment was carried out based on a completely randomized design, with a 5 × 4 factorial scheme, consisting of five different percentages of biochar (with 0, 25, 50, 75, and 100% v/v substitution of the conventional substrate) and four particle sizes (<1, 2, 4, and 9 mm), with nine repetitions. As seedling growth variables, the average sprouting time, sprouting speed index, plant height, leaf number, leaf length, and width + 2, as well as the dry mass of the aerial parts and roots were evaluated. …”
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Nexus between ESG scores and financial performance: evidence from the Indian banking sector by Ramesh Prasad, Amitava Mondal

“…Originality/value – This research investigates the time-sensitive impacts of ESG-centric practices (considering current and lagged effect) on bank performance, undertaken after the implementation of the Reserve Bank of India’s (RBI) 2020 circular relating to mandatory ESG disclosure for the Indian commercial banks.…”
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Evidence on the Beneficial Impact of Food Voucher Programs in Java Island by Nur Afini Muliandari, Rus'an Nasrudin

“…In addition, this method introduces time-variant and time-invariant fixed effects in the OLS estimation. …”
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Seed desiccation tolerance and germination of four Puya (Bromeliaceae) high-andean tropical species from Colombia by Manuela Calderón-Hernández, Laura Victoria Pérez-Martínez

“…These species are distributed in Páramo, a threatened ecosystem despite of its value as a water reservoir and supplier for urban population. …”
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Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients by Yu Zhu, Renrui Liang, Ying Wang, Jian-Jun Yang, Ning Zhou, Cheng-Mao Zhou

“…Subsequently, we utilized R software to develop and validate a nomogram model capable of accurately predicting the incidence of POD. Results The final variables selected by the LASSO method were: Ramelteon, Age, Sex, Alcohol, Viral status, Cardiovascular disease, ASA class, Total bilirubin, Prothrombin time, Laparoscopic approach, and Blood transfusion. …”
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e-Health Strategy for Surgical Prioritization: A Methodology Based on Digital Twins and Reinforcement Learning by Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan

“…We generate prioritization scores by modeling clinical, economic, behavioral, and social variables in real time and optimize access through a reinforcement learning engine designed to maximize long-term system performance. …”
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Aerobic-training effects on CD4 cell count and health related quality of life of people living with human immunodeficiency virus by Ignatius Onyewadume, Thabo Muswere

“…Participants were subjected to 12 weeks of aerobic training, three times a week for 60 minutes per session. The significant differences between CD4 cell count and the HRQoL variables at baseline and week 12 of the participants were compared using the paired t-test. …”
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Magnetohydrodynamic unsteady natural convection slip flow in a vertical parallel plate microchannel heated with constant heat flux by Mohsen Saghafian, Mehdi Moslehi, Omid Ali Akbari

“…As M increases, the average Nusselt number as a function of time diminishes. Also, these variables present at least one overshoot or undershoot in time. …”
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COVID-19 REINFECTION: DOES IT MATTER? by E. Füsun Karaşahin, Ömer Karaşahin, Mehtap Hülya Aslan

“…Materials and Methods: We conducted a retrospective chart review of COVID-19 reinfection cases recorded by the provincial health directorate. The time between infections (days), whether the patient was hospitalized, symptoms at the time of both positive tests, presence of risky contact, occupation, lung imaging results, laboratory findings, and RT-PCR cycle threshold (Ct) values were recorded. …”
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Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial by Dung-Jang Tsai, Chin Lin, Wei-Ting Liu, Chiao-Chin Lee, Chiao-Hsiang Chang, Wen-Yu Lin, Yu-Lan Liu, Da-Wei Chang, Ping-Hsuan Hsieh, Chien-Sung Tsai, Yuan-Hao Chen, Yi-Jen Hung, Chin-Sheng Lin

“…Statistical analysis included hazard ratios (HR) with 95% confidence intervals (CI) for time-to-event outcomes and chi-square tests for categorical variables. …”
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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive... by Boqun Shi, Liangguo Chen, Shuo Pang, Yue Wang, Shen Wang, Fadong Li, Wenxin Zhao, Pengrong Guo, Leli Zhang, Chu Fan, Yi Zou, Xiaofan Wu

“…SWEDEHEART-AI calculated the mortality rate based on each patient’s 21 clinical variables. Qwen-2 and Llama-3 analyzed the content of patients’ discharge records and directly provided a 1-decimal value between 0 and 1 to represent 1-year death risk probabilities. …”
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Integrated framework for assessment and spatial prediction of humus layer properties of forest soils by Felix Thomas, Carina Becker, Rainer Petzold, Karsten Schmidt, Thomas Scholten, Ulrike Werban

“…In order to reduce the amount of laboratory work, we applied the use of vis-NIR spectroscopy to determine the humus layer properties values within the framework. As input variables, we used available information based on soil forming factors and already existing information on mineral soils (soil form class, climate data, satellite data as proxy for vegetation, relief data and parent material and geographic location). …”
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