Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“… Alzheimer’s disease (AD) is a chronic, progressive neurodegenerative disorder that typically affects elderly individuals. …”
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Risk effects of environmental factors on human brucellosis in Aksu Prefecture, Xinjiang, China, 2014–2023 by Di Wu, Xinxiu Shen, Quan Zhou, Jing Zhou, Ruonan Fu, Chang Wang, Yuhua Ma, Chenchen Wang

“…The prevalence of brucellosis is influenced by a range of socio-economic and meteorological factors, and a multifaceted approach is necessary to prevent and control brucellosis.…”
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Cost-effectiveness of watchful waiting versus immediate emergency department transfer after epinephrine autoinjector use in Canada by Yiwei Yin, Moshe Ben Shoshan, Marcus Shaker, Matthew Greenhawt, Kate M. Johnson

“…The analysis was conducted from the Canadian healthcare system perspective with a 1.5% annual discount rate and a willingness-to-pay (WTP) threshold of $50,000 per QALY. …”
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Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…For DL models to predict HF hospitalizations and worsening HF events, we utilized two study designs: with and without a buffer window. For comparison, we also tested multiple traditional machine learning models including logistic regression, random forest, and eXtreme Gradient Boosting (XGBoost). …”
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Specifics of Foreign Assistance Allocation under the Trump Administration: From Inauguration to ‘Ukrainegate’ by V. I. Bartenev

“…Foreign assistance has become the domain where these two dimensions overlapped generating a cumulative effect of an extreme scale manifested by the Ukrainegate and its aftermath.…”
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The origins of “Kaunayen” game fowls of Manipur, India: Insights from mitochondrial D-loop sequence analysis by Robin Singh Mutum, Abhik Das, Sankar Kumar Ghosh, Vidyarani Devi Wangkheimayum

“…We found that Kaunayen fowls share evolutionary traits such as a similar transition/transversion ratio with some Southeast Asian breeds, including a few red jungle fowls. …”
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Randomized radial basis function neural network for solving multiscale elliptic equations by Yuhang Wu, Ziyuan Liu, Wenjun Sun, Xu Qian

“…For each subproblem, similar to the Petrov–Galerkin finite element method, a linear system will be formulated on the foundation of a weak formulation. …”
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Climate change risk trap: low-carbon spatial restructuring and disaster risk in petroleum-based economies by Viktor Rözer, Sara Mehryar, Mohammad M M Alsahli

“…At the same time, the profound economic changes resulting from a low-carbon transition lead to a spatial redistribution of assets and labour, when brown assets and jobs get stranded and new green assets and jobs are created elsewhere. …”
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Screening and Characterization of Thermostable Amylase-Producing Bacteria Isolated from Soil Samples of Afdera, Afar Region, and Molecular Detection of Amylase-Coding Gene by Semira Nureddin Yassin, Tamene Milkessa Jiru, Meera Indracanti

“…Studying thermostable amylase-producing bacteria in extreme environments has a crucial role to overcome different industrial challenges. …”
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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…It is shown that the system’s accuracy and scalability can be enhanced through testing with larger databases, hardware upgrades like higher-resolution cameras, and advanced deep learning algorithms to address challenges such as extreme facial angles. Threshold optimization tests with six male participants revealed a value that effectively balances accuracy and efficiency. …”
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Simulation of Self-Occlusion Virtual Dataset Method for Robust Point Matching Algorithm, With Applications to Positioning of Guide Vanes by Fenglin Han, Hang Peng, Xian Wu, Haonan Ren, Yiwei Sun, Bin Su

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“What’s that on your phone?” The aftermath of parents finding sexual and reproductive health messages on their children’s phone in coastal Kenya by Jefferson Mwaisaka, Lianne Gonsalves, Lale Say, Peter Gichangi

“…Conclusions: In the event that a digital health intervention’s young user’s privacy is compromised, these findings demonstrate that the fears of extreme adverse reactions on the part of parents are likely overstated. …”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

“…Soil loss was formerly modeled by USLE, thus providing non-observation-based reference datasets for the calibration of parcel-specific prediction models using various ML methods (Random Forest, eXtreme Gradient Boosting, Regularized Support Vector Machine with Linear Kernel), which is a well-established approach in digital soil mapping (DSM). …”
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Real-world Bleeding Outcomes and Costs Following Vascular Graft Anastomosis Using PROLENE Sutures with HEMO-SEAL Technology in Patients Undergoing Abdominal Aortic Aneurysm Repair by Nadia Y. Sutton, Niels-Derrek Schmitz

“…Discharge demographics were similar across suture groups, with the exception of disease severity; the HEMO-SEAL suture group had a higher proportion of minor discharges and a lower proportion of extreme discharges compared with the standard PROLENE suture group. …”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…This study introduces the BCR-HDL (Breast Cancer Recurrence using Hybrid Deep Learning) framework, a novel approach designed to predict breast cancer recurrence with high accuracy and interpretability. …”
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Influences of True Triaxial Loading-Unloading Stress Paths on Mechanical Properties and Wave Velocity of Coal Samples subject to Risk of Rock Burst by Wei Shen, Guang-Jian Liu, Lin-Ming Dou, Si-Yuan Gong, Hu He

“…The results showed that when the BRCS was subjected to a triaxial state of stress, the high- and low-velocity regions existed alternately due to the presence of the crack; during the elastic phase, the crack closed during loading in the previous phase was reopened upon unloading, so that the velocity of the sample decreased and a wide range of low-velocity regions could be formed; when entering the yield phase, the original crack continued to expand into a hole-through crack, leading to wider extreme values and ranges of these low- and high-velocity regions; at the breaking phase, multiple microcracks were generated around the hole-through cracks, decreasing the overall velocity, and showing point distributions characteristics of high- and low-velocity regions. …”
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Exploring the Role of Social Workers in Addressing Health Disparities Among Maginalised Population in Kabale District. by Asasira, Precious

“…The study findings further revealed the challenges faced by social workers in addressing the health disparities among marginalized populations include; lack of training, unpredictable Lifestyle, physical distance between the client, difficulty dealing with complicated groups, difficulty in meeting community needs, small communities clients are often worried about having their car identified outside of a social workers or therapist’s office. According to objective three, it was found that respondents from Kabale district Local government that the possible measures to the challenges faced by social workers in addressing the health disparities among marginalized populations include; stopping Family Violence, advancing long and Productive Lives, Create Social Responses to a Changing Environment, eradicate Social Isolation, harness Technology for social good, reduce Extreme Economic Inequality and others .…”
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An Assessment of Socio-Economic Factors explaining Pupil Dropout in UPE Schools of Nyabihoko Sub- County, Ntungamo District by Abert, Musinguzi

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Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

“…A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. …”
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The genomes of Scedosporium between environmental challenges and opportunism by Francesco Venice, Federica Spina, Domenico Davolos, Stefano Ghignone, Giovanna Cristina Varese

“…Abstract Emerging fungal pathogens are a global challenge for humankind. Many efforts have been made to understand the mechanisms underlying pathogenicity in bacteria, and OMICs techniques are largely responsible for those advancements. …”
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