What slows the progress of health systems strengthening at subnational level? A political economy analysis of three districts in Uganda. by Justine Namakula, Xavier Nsabagasani, Ligia Paina, Abigail Neel, Chimwemwe Msukwa, Daniela C Rodriguez, Freddie Ssengooba

“…Our paper presents a political economy analysis featuring a three-district case study in Uganda, where district-based health systems strengthening initiatives were implemented. …”
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Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone by John Gladious, Partha Sarathi Paul, Manas Mukhopadhyay

“…Furthermore, the study explores transforming the regression task into a binary classification problem, categorizing slopes as stable or unstable based on predicted post-monsoon properties. …”
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Use of a spatially distributed in-phase antenna to increase the noise immunity of signal reception by G. V. Kulikov, Yu. A. Polevoda, M. S. Kostin

“…The presented model for a multi-element, spatially-distributed, in-phase receiving antenna of various configurations, featuring an electronically adjustable radiation pattern, is designed to ameliorate the multipath nature of signal propagation. …”
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Mechanical properties and microstructure of low carbon high-strength engineered cementitious composites with supplementary cementitious material by Shuangquan Qing, Chuanxi Li

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Orientation reversal and the Chern-Simons natural boundary by Griffen Adams, Ovidiu Costin, Gerald V. Dunne, Sergei Gukov, Oğuz Öner

“…Abstract We show that the fundamental property of preservation of relations, underlying resurgent analysis, provides a new perspective on crossing a natural boundary, an important general problem in theoretical and mathematical physics. This reveals a deeper rigidity aspect of resurgence in a quantum field theory path integral. …”
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Resources, Potentials and Academic Achievements of Students. Part 2. From Differentiation to Integration of Resources, Potentials and Academic Achievements of Students by L. Ya. Dorfman, A. Yu. Kalugin

“…The systematisation of the main positions of the formed model was performed in accordance with the problem and comparative analysis based on the inductive method.Results and scientific novelty. …”
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Case fatality rate and length of hospital stay among patients with typhoid intestinal perforation in developing countries: a systematic literature review. by Vittal Mogasale, Sachin N Desai, Vijayalaxmi V Mogasale, Jin Kyung Park, R Leon Ochiai, Thomas F Wierzba

“…<h4>Background</h4>Typhoid fever remains a major health problem in the developing world. Intestinal perforation is a lethal complication and continues to occur in impoverished areas despite advances in preventive and therapeutic strategies.…”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…Conclusion TF was found to be higher than the WHO recommended threshold of 10% to say that trachoma is a severe public health problem to conduct MDA and eliminate trachoma as a Public Health problem in a community when the prevalence of TF is less than 5%. …”
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MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments by Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin

“…The enhancements include refining the feature extraction network by integrating a lightweight attention mechanism into the ELAN blocks and replacing the activation function in each convolution layer with a sigmoid-weighted linear unit. …”
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Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks by Magdalena Fafrowicz, Marcin Tutajewski, Igor Sieradzki, Jeremi K. Ochab, Jeremi K. Ochab, Anna Ceglarek-Sroka, Koryna Lewandowska, Tadeusz Marek, Barbara Sikora-Wachowicz, Igor T. Podolak, Paweł Oświęcimka, Paweł Oświęcimka, Paweł Oświęcimka

“…However, it's essential to match the type of learning method to the problem type, and extracting the information about the most important ROI connections might be challenging. …”
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Development and assessment of an online communication skills course to optimise antibiotic prescribing for children in primary care by Lucía Arias-Alonso, Nieves Barragán-Brun, Usue Elizondo-Alzola, Andrea Boldu-Minguell, Claudio Alfonso Rocha-Calderón, Ena Niño-de-Guzmán, Francisca María Santandreu, Fermín Quesada-Carrasco, Ignacio Ricci-Cabello, Pedro Jesús Gorrotxategi-Gorrotxategi, Mariam de la Poza-Abad, Gemma Mas-Dalmau, Anna Gibert-Agulló, Jesús González-Lama, Pablo Alonso-Coello

“…Abstract Background Antibiotic overprescription is a complex global problem that contributes to antibacterial resistance. …”
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Investigation of predictive factors for fatty liver in children and adolescents using artificial intelligence by Aliakbar Sayyari, Amin Magsudy, Yasamin Moeinipour, Amirhossein Hosseini, Hamidreza Amiri, Mohammadreza Arzaghi, Fereshteh Sohrabivafa, Seyedeh Fatemeh Hamzavi, Ashkan Azizi, Tahereh Hatamii, AmirAli Okhovat, Naghi Dara, Negar Imanzadeh, Farid Imanzadeh, Mahmoud Hajipour

“…BackgroundChildhood obesity is a growing problem worldwide, leading to non-alcoholic fatty liver disease (NAFLD), which is the most common liver disease in children. …”
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Automatic Correction of Labeling Errors Applied to Tomato Detection by Ángel Eduardo Zamora Suárez, Gerardo Antonio Alvarez Hernandez, Juan Irving Vasquez, Hind Taud, Abril Valeria Uriarte-Arcia, Erik Zamora

“…This study addresses the problem of correcting labeling errors in object detection datasets without human intervention. …”
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Two-dimensional QSAR-driven virtual screening for potential therapeutics against Trypanosoma cruzi by Naseer Maliyakkal, Sunil Kumar, Ratul Bhowmik, Harish Chandra Vishwakarma, Prabha Yadav, Bijo Mathew

“…Once considered a local problem, migration and non-vector transmission have caused it to spread. …”
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The potential &amp; limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

“…Cross-view geolocalization (CVGL) describes the general problem of determining a correlation between terrestrial and nadir oriented imagery. …”
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ProstaNet: A Novel Geometric Vector Perceptrons–Graph Neural Network Algorithm for Protein Stability Prediction in Single- and Multiple-Point Mutations with Experimental Validation... by Tianjian Liang, Ze-Yu Sun, Rieko Ishima, Xiang-Qun Xie, Ying Xue, Wei Li, Zhiwei Feng

“…Deep learning offers an efficient solution to this problem. In the present work, we introduced ProstaNet, a deep learning framework that predicts stability changes resulting from single- and multiple-point mutations using geometric vector perceptrons–graph neural network for 3-dimensional feature processing. …”
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Research on intelligent video recognition method for roof water inrush signs in coal mines by Huiqing LIAN, Jia KANG, Shangxian YIN, Bin XU, Guocheng YAN, Xiangxue XIA, Baotong XU

“…Compared with the traditional method, the feature extraction ability is stronger, and the effect is better under complex conditions such as large background noise and small gray value difference. …”
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TERRITORIAL DIFFERENTIATION OF INCOMES ADJUSTED FOR INFLATION by M. V. Moroshkina

“…Significant scientific interest to the problem of regional inequality is obvious over the past several decades. …”
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Models for sustainable management of livestock waste based on neural network architectures by Anatoliy Tryhuba, Krzysztof Mudryk, Inna Tryhuba, Marian Kotsylovskyi, Dmytro Sorokin, Olena Bezaltychna, Pawel Pysz, Taras Hutsol

“…Abstract This study addresses the problem of minimizing the environmental impact of livestock production while improving the efficiency of livestock waste-to-energy conversion. …”
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An AI explained systematic modular approach for enhanced Electricity Theft Detection for urbanized Smart Grid environment by Muhammad Ammar, Nadeem Javaid, Ali Arishi

“…Subsequently, the data balancing module leverages the localized randomized affine shadow sampling to maintain a balanced data distribution by addressing the class imbalance problem. Finally, the proposed SATBlend in the classification module utilizes AlexNet for feature extraction, ShuffleNet for efficient computation, and a temporal convolutional network for temporal correlation detection to enhance the reliability of advanced ETD systems. …”
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