Optimum Conditions for Pyomelanin Production and Characterization from Local Isolates of Pseudomonas aeruginosa by Naz Fuad H. Khorshid, Nisreen Hadi Odaa

“…Materials and Methods: P. aeruginosa was isolated from various clinical sources, including urinary tract infections, burn patients, and wound infections. …”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

“…This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. …”
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LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning by Junlong Ma, Heng Chen, Ji Sun, Juanjuan Huang, Gefei He, Guoping Yang

“…Electronic medical records contain comprehensive clinical information and have gained increasing attention as a potential resource for DDI detection. However, a substantial portion of adverse drug reaction (ADR) information is hidden in unstructured narrative text, which has yet to be efficiently harnessed, thereby introducing bias into the research. …”
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Epidemic Process of Haemophilus influenzae Infection in WHO Regions by S. O. Vysokochanskaya, S. Y. Kombarova, R. V. Polibin, A. A. Basov

“…Although Hib infection is classified as vaccine-preventable, WHO and CDC do not post annual incidence information on their resources, unlike other vaccine-preventable infections. …”
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Ferro-aluminosilicate composite generated from coal gasification fine slag for the preconcentration and adsorptive removal of selected artificial sweeteners from water by Xoliswa Cingo, Azile Nqombolo, Buhle Xakalashe, Xolisa Goso, Luthando Nyaba, Odwa Mapazi, Philiswa Nosizo Nomngongo

“…Furthermore, converting CGFS into functional adsorbents aligns seamlessly with the principles of a circular economy, emphasising resource reutilization and sustainability. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

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Assessing the Impact of Covid19-Pandemic on the Household Income in Kamuganguzi Sub-County Kabale District. by Arinda, Redeemer Present

“…Additionally, the government should establish a physical and automated platform for coordination and resource mobilization to support poor students and the most vulnerable groups affected by COVID-19-related lockdowns.…”
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Community, facility and individual level impact of integrating mental health screening and treatment into the primary healthcare system in Sehore district, Madhya Pradesh, India by Crick Lund, Vikram Patel, Rahul Shidhaye, Emily Baron, Vaibhav Murhar, Sujit Rathod, Azaz Khan, Abhishek Singh, Sanjay Shrivastava, Shital Muke, Ritu Shrivastava

“…Patients with depression who received care as part of the MHCP had higher rates of response (52.2% in the treatment group vs 26.9% in the comparison/usual care group), early remission (70.2% in the treatment group vs 44.8% in the comparison/usual care group) and recovery (56.1% in the treatment group vs 28.5% in the comparison/usual care group), but there was no impact of treatment on their functioning.Conclusions While dedicated human resources (eg, Case Managers) and dedicated space for mental health clinics (eg, Mann-Kaksha) strengthen the ‘formal’ healthcare platform, without substantial additional investments in staff, such as Community Health Workers/Accredited Social Health Activists to improve community level processes and provision of community-based continuing care to patients, we are unlikely to see major changes in coverage or clinical outcomes.…”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…Multimodal neural network systems for analyzing heterogeneous dermatological data, using the proposed optimization algorithms, can be applied as a tool for auxiliary medical diagnostics, which will reduce the consumption of financial and labor resources involved in the medical industry, as well as increase the chance of early detection of pigmentary oncopathologies.…”
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Proteinuria Ratio and Related Factors İn Type 2 DM Patients: A Hospital-Based Study in Somalia by Gökhan Alıcı, Ahmed Muhammad Bashir

“…Understanding these factors is crucial for early detection and intervention to prevent kidney damage in this population. …”
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3D Seismic Attribute Conditioning Using Multiscale Sheet-Enhancing Filtering by Taiyin Zhao, Yuehua Yue, Tian Chen, Feng Qian

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Performance of the National Tuberculosis Control Program in the post conflict Liberia. by Kassaye Tekie Desta, T E Masango, Zerish Zethu Nkosi

“…Despite these improvements, the TB treatment, laboratory services and human resource capacity lagged behind. The TB programme of Liberia needs to develop new strategies to address its challenges.…”
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Unsustainable anthropogenic mortality threatens the long-term viability of lion populations in Mozambique. by João Almeida, Willem D Briers-Louw, Agostinho Jorge, Colleen Begg, Marnus Roodbol, Hans Bauer, Andrew Loveridge, Matthew Wijers, Rob Slotow, Peter Lindsey, Kristoffer Everatt, Holly Rosier, Sean Nazerali, Lizanne Roxburgh, Hugo Pereira, Mercia da Conceicao, Armindo Araman, Osvaldo J Abrao, Alison J Leslie, Franziska Steinbruch, Vincent N Naude, Samantha K Nicholson

“…Our findings suggest that resilience to anthropogenic threats is largely a function of lion population size as well as resource and management capacity. …”
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Diagnosing skin neglected tropical diseases with the aid of digital health tools: A scoping review. by Ewelina Julia Barnowska, Anil Fastenau, Srilekha Penna, Ann-Kristin Bonkass, Sophie Stuetzle, Ricky Janssen

“…Recent developments in digital health have given rise to approaches that could increase access to diagnosis in resource-poor areas affected by skin NTDs. This scoping review provides an overview of current digital health approaches that aim to aid in the diagnosis of skin NTDs and provides an insight into the diverse functionalities of current digital health tools, their feasibility, usability, and the current gaps in research around these digital health approaches. …”
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Preventive home visits for mortality, morbidity, and institutionalization in older adults: a systematic review and meta-analysis. by Evan Mayo-Wilson, Sean Grant, Jennifer Burton, Amanda Parsons, Kristen Underhill, Paul Montgomery

“…<h4>Background</h4>Home visits for older adults aim to prevent cognitive and functional impairment, thus reducing institutionalization and mortality. …”
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A new fluorescent probe based on BODIPY for testing NO2 released from propellants by Ying-cui Cui, De-bin Xia, Zhong-yu Cui, Yu-jing Li, Jian Zhang, Ping Wang, Ting Guo, Kai-feng Lin, Yu-lin Yang

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Lower reclamation of coastal lagoon conserves higher waterbird assemblage phylogenetic diversity by Xianli Che, Min Zhang, Wangming Li, YanYan Zhao, Xuebing Zhao, Yisheng Peng, Alexandra Ashley Grossi, Zhaohui Pang, Fasheng Zou

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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…Intervention functions were designed using the Behavior Change Wheel, and behavior change techniques were selected for the DHI features. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Moreover, integrating machine learning into risk management enhances decision-making by providing precise, data-driven predictions, allowing for more effective strategies and efficient resource allocation.Future research could incorporate additional data, such as historical records, economic indicators, and internal process information, to further improve prediction accuracy. …”
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