An early warning model for predicting major adverse kidney events within 30 days in acute pancreatitis patients by Qiulong Wang, Juantao Lv, Dongdong Chen, Xiaojun Yang

“…Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for MAKE30 in the aforementioned patient cohort. …”
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Estimation of the Relative Chlorophyll Content of Pear Leaves Based on Field Spectrometry in Alaer, Xinjiang by Yufen Huang, Zhenqi Fan, Hongxin Wu, Ximeng Zhang, Yanlong Liu

“…The prediction model for relative chlorophyll content established in this study was more accurate for chlorophyll monitoring in pear trees, and thus, it provided a new method for rapid estimation. Moreover, the model provides an important theoretical basis for the efficient management of pear trees.…”
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Pre-treatment subjective sleep quality as a predictive biomarker of tDCS effects in preclinical Alzheimer's disease patients: Secondary analysis of a randomised clinical trial. by Hanna Lu, Xi Ni, Sandra Sau Man Chan, Calvin Pak Wing Cheng, Waichi Chan, Linda Chiu Wa Lam

“…<h4>Methods</h4>This clinical trial aimed to compare the effectiveness of tDCS and cognitive training in mild NCD-AD patients (n =  201). …”
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Correlating Cleaning Thoroughness with Effectiveness and Briefly Intervening to Affect Cleaning Outcomes: How Clean Is Cleaned? by Robert Clifford, Michael Sparks, Eve Hosford, Ana Ong, Douglas Richesson, Susan Fraser, Yoon Kwak, Sonia Miller, Michael Julius, Patrick McGann, Emil Lesho

“…<h4>Objectives</h4>The most efficient approach to monitoring and improving cleaning outcomes remains unresolved. …”
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Sentiment analysis for depression detection: A stacking ensemble-based deep learning approach by Kinza Noor, Mariam Rehman, Maria Anjum, Afzaal Hussain, Rabia Saleem

“…Due to the widespread prevalence of this disorder in society, novel and efficient methods must be developed for effective detection and treatment. …”
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Evaluating the impact of amino acid spray on melon (Cucumis melo L.) growth under hydroponic conditions at Polije SGH by Tri Rini Kusparwanti, Rindha Rentina Darah Pertami, Netty Ermawati, Suwardi Suwardi, Abdurrahman Salim

“…In addition to humans, plants also need amino acids to increase overall yields and quality. Methods: This study aims to determine the effect of providing the best Amino Plant concentration for the growth and production of melon plants. …”
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Exploring factors influencing the selection of primary health care delivery models in conflict-affected settings of North West and South West regions of Cameroon and North-East Nig... by Lundi-Anne Omam, Kelli O'Laughlin, Nicholas Tendongfor, Zara Wudiri, Mohammed Ngubdo Hassan, Alain Metuge, Ooju Oluwafemi, Esther Omam, Rosalind Parkes-Ratanshi

“…However, there is a paucity of evidence on the selection and design of the primary health care delivery models used in humanitarian settings. To ensure efficient use of resources and quality of services, model of care selection should be evidence based and informed by the specific humanitarian context. …”
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Role of metabolic transformation in cancer immunotherapy resistance: molecular mechanisms and therapeutic implications by Sandesh Shende, Jaishriram Rathored, Tanushree Budhbaware

“…Gaining knowledge of metabolic processes can help develop efficient treatments that improve immunotherapy's effectiveness. …”
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Microfluidic Nanobioplatform-Based Immunosensor for Monitoring of 25-Hydroxy Vitamin-D3 by Deepika Chauhan, Zimad Hashmi, Rishi Raj, Pratima R. Solanki

“…Hence, it is important to find new methods for efficient rapid testing for clinical diagnosis and public health prevention. …”
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Effectiveness of a clinical decision support system with prediction modeling to identify patients with health-related social needs in the emergency department: Study protocol. by Olena Mazurenko, Christopher A Harle, Justin Blackburn, Nir Menachemi, Adam Hirsh, Shaun Grannis, Malaz Boustani, Paul I Musey, Titus K Schleyer, Lindsey M Sanner, Joshua R Vest

“…This project aims to implement and evaluate a CDS intervention that offers ED clinicians risk prediction scores to determine which patients will likely screen positive for one or more HRSNs.…”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…ABSTRACT Background and Aims A life‐threatening vector‐borne disease, dengue fever (DF), poses significant global public health and economic threats, including Bangladesh. Determining dengue risk factors is crucial for early warning systems to forecast disease epidemics and develop efficient control strategies. …”
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Recognition of field-grown tobacco plant type characteristics based on three-dimensional point cloud and ensemble learning by JIA Aobo, DONG Tianhao, ZHANG Yan, ZHU Binglin, SUN Yanguo, WU Yuanhua, SHI Yi, MA Yuntao, GUO Yan

“…To develop an efficient method for quantifying tobacco plant types in the field, the three-dimensional (3D) point clouds of individual plant of five tobacco cultivars were reconstructed based on multi-view image sequences using the structure from motion method. …”
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Clinical parameters of the local anesthetic effects of bupivacaine applied with and without a vasoconstrictor in oral implantology by Duka Miloš, Lazić Zoran, Stamatović Novak, Tatić Zoran, Bubalo Marija, Veljović Milić

“…The aim of this investigation was to determine and to compare clinical parameters of the local anesthetic effects of bupivacaine applied with and without a vasoconstrictor. …”
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Comparison of Two High-Intensity Interval Training (HIIT) For Two Weeks on Fat Oxidation, Body Fat Percentage and VO2max in Overweight Young Males by Mehdi Gholizadeh, Mohammadreza Kordi, Ali Akbarnejad

“…Background and Objectives: The purpose of this study was to determine the effect of 6 sessions of High Intensity Interval Training (HIIT) on fat oxidation, VO2max and body fat percentage in sedentary overweight young males. …”
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Application of Advanced Platelet-Rich Fibrin in Oral and Maxillo-Facial Surgery: A Systematic Review by Marek Chmielewski, Andrea Pilloni, Paulina Adamska

“…A-PRF protected areas after free gingival graft very well, promoted more efficient epithelialization of donor sites and enhanced wound healing. …”
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Transnational family support and perspectives from family members back home: a pilot study in Kisumu, Kenya by Lisa Merry, Dominic Mogere, Dan Odindo, Nancy Edwards

“…This pilot study aimed to determine the feasibility of conducting transnational research and gathering data from family members back home using communication technology. …”
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Analysis of noise characteristics of a diode generator in a multi-circuit system by A. Y. Belski, S. M. Satsyk, V. N. Putilin

“…In modern microwave electronics, it is extremely important to evaluate the possibility of efficient generation of highly stable oscillation modes and the creation of low-noise generators with a millimeter wavelength range. …”
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Intubation in propofol-treated status epilepticus: a cohort study by Maya Mikutra-Cencora, Jeanne Teitelbaum

“…We aimed to assess the performance of our treatment algorithm and to determine whether intubation in these patients improves outcomes.MethodsAll adult patients with SE treated with propofol at a tertiary neuro-intensive care unit from 2015 to 2022 were identified through medical records. …”
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Unskilled and unaware? Differences in metacognitive awareness between high and low-ability students in STEM by Jason W. Morphew, Jason W. Morphew

“…The ability to accurately make predictions about one's ability and performance can determine the effectiveness in which students effectively prepare for exams and employ good study strategies. …”
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Multiple Rows Mixers and Hsilu by Xiaobin Yu, Meicheng Liu

“…We employ a generic and extensible approach to determine the parameters of MRM. This approach can automatically generate linear layers that meet the requirements of a given branch number. …”
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