IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

“…The proposed model integrates GRU networks with a convolutional autoencoder to improve water quality prediction by capturing trends and managing temporal dependencies. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Prominent IoT devices tailored to integrate edge intelligence include Raspberry Pi, NVIDIA’s Jetson, Arduino Nano 33 BLE Sense, STM32 Microcontrollers, SparkFun Edge, Google Coral Dev Board, and Beaglebone AI. …”
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Association between triglyceride glucose index and adverse cardiovascular prognosis in patients with atrial fibrillation without diabetes: a retrospective cohort study by Aobo Gong, Ying Cao, Zexi Li, Wentao Li, Fanghui Li, Yao Tong, Xianjin Hu, Rui Zeng

“…Conclusions A high Tyg index is associated with poorer prognosis in patients with AF without diabetes. Integrating the Tyg index into the CHA2DS2-VASc model may enhance its predictive performance, offering clinical utility.…”
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Recent Developments to the ANSWERS® Monte Carlo Codes MONK® and MCBEND® by Fildes Jessica, Richards Simon, Bird Adam, Cox Andrew, Fry Timothy, Hanlon David, Jones Brian, Long David, Tantillo Francesco, Wright George, Hiles Richard

“…New developments to the tools available in the accompanying Visual Workshop integrated development environment are also described.…”
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Experiences of infertility among couples in Morocco by Amal Benbella, Amal Benbella, Gitau Mburu, Asmaa Zaidouni, Sanae Elomrani, Abdelhakim Yahyane, Karima Gholbzouri, James Kiarie, Rachid Bezad, Rachid Bezad

“…Solutions addressing these challenging experiences were suggested by interviewed couples including continued quality and respectful care to enhance biomedical experiences; public education campaigns to educate the public and destigmatize infertility to improve social experience, inclusion of psychosocial services as part of fertility integrated care to enhance psychological experiences, and enhanced financial protection, and service decentralisation to mitigate negative financial pressures.ConclusionCouples with infertility are exposed to various challenges in the biomedical, social, psychological, and financial domains. …”
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Can Thinning Foster Forest Genetic Adaptation to Drought? A Demo‐Genetic Modelling Approach With Disturbance Regimes by Victor Fririon, Hendrik Davi, Sylvie Oddou‐Muratorio, Gauthier Ligot, François Lefèvre

“…We conducted a simulation experiment spanning three nonoverlapping generations with the individual‐based demo‐genetic model Luberon2. Luberon2 integrates forest dynamics processes driving survival and mating success, including tree growth, competition, drought impacts and regeneration, with genetic variation in quantitative traits related to these processes. …”
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Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…Future research will integrate advanced machine learning with signal processing to improve fault detection accuracy and evaluate the scalability and adaptability of the system for larger orchards and diverse agricultural applications.…”
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VIBE: an R-package for VIsualization of Bulk RNA Expression data for therapeutic targeting and disease stratification by Indu Khatri, Saskia D. van Asten, Leandro F. Moreno, Brandon W. Higgs, Christiaan Klijn, Christiaan Klijn, Francis Blokzijl, Iris C. R. M. Kolder

“…We demonstrate how VIBE can be used to assist in indication selection and target identification in three user case studies using both simulated and real-world data. VIBE integrates statistics in all graphics, enabling data-informed decision-making.ConclusionsVIBE facilitates detailed visualization of individual and cohort-level summaries such as concordant or discordant expression of two genes or pathways. …”
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OSBPL3 modulates the immunosuppressive microenvironment and predicts therapeutic outcomes in pancreatic cancer by Qihui Sun, Xiaoqi Zhu, Qi Zou, Yang Chen, Tingting Wen, Tingting Jiang, Xiaojia Li, Fang Wei, Keping Xie, Jia Liu

“…Methods We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis. We integrated multi-dataset analyses, single-cell transcriptomic data, and functional experiments to explore the role of OSBPL3 in pancreatic cancer. …”
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Multi-criteria decision-making method for emergency shelter site selection considering flood risk: A case study of Zhuhai, China by Bo Liu, Yingbing Li, Yan Zhang, Zhichao Wu, Yansong Pan, Meiquan Li

“…To address these two issues, this study innovatively proposes a new multi-criteria decision-making model for selecting urban emergency shelter sites. (1) For the first time, the model systematically classifies the factors affecting the location of emergency shelter sites into four categories: hazard, exposure, vulnerability, and relief capacity, from which 11 decision-making indicators, such as flood risk, precipitation, and slope, are selected; (2) The model integrates multiple algorithms, including analytic hierarchy process, entropy weight method, Pearson's correlation coefficient, and TOPSIS, during the decision-making process, and is capable of comprehensively weighing the expert's subjective preferences, objective indicator levels and the relationship between multiple indicators to achieve a more reasonable ranking. …”
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Evaluation of two electronic-rehabilitation programmes for persistent knee pain: protocol for a randomised feasibility trial by Philip G Conaghan, Kim L Bennell, Mark Conner, Rana S Hinman, Sarah R Kingsbury, Elizabeth M A Hensor, Gretl A McHugh, Christine Comer, Dawn Groves-Williams, Rachel K Nelligan

“…Feasibility variables, patient-reported outcomes and clinical findings measured at baseline, 3 and 9 months will be assessed and integrated with qualitative interview data from a subset of Group E-Rehab and My Knee UK participants. …”
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Temporally enhanced RSEI and nighttime lights reveal long-term ecological changes and effective protection in China’s inaugural national parks by Chunhui Wen, Tengfei Long, Guojin He, Weili Jiao, Wei Jiang

“…The results indicate that: 1) The temporally enhanced RSEI (tRSEI) effectively integrates the dynamic changes of multiple variables and offers better temporal comparability for long-term ecological monitoring; 2) From 2000 to 2022, the ecological environment quality within the inaugural NPs significantly improved, with more noticeable improvements observed following the implementation of pilot conservation programs; 3) The spatial variation in ecological quality within these NPs is driven by the interaction of multiple factors, including human activities, climate variability, and topographical conditions, with significant differences among the parks; 4) Although overall NTL intensity both inside and outside the NPs increased between 2000 and 2022, especially with accelerated growth in surrounding areas post-pilot program implementation, NTL levels within the parks remained relatively low. …”
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Taking a partnership approach to embed physical activity in local policy and practice: a Bradford District case study by Jennifer Hall, Elliot Lever, Nathan Dawkins, Emma Young, Jamie Crowther, Rachel Williams, John Pickavance, Sally Barber, Andy Daly-Smith, Anna Chalkley, On behalf of the wider JU:MP team

“…These included: collaboration and sector integration, co-productive working, governance and leadership, and cultivating a learning culture. …”
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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

“…The proposed model utilizes machine learning algorithms such as Support Vector Machine (SVM), Decision Trees, K-Neighbors Classifier, and Gradient Boosting Classifier, enhanced with Explainable AI (XAI) techniques like SHAP and LIME. With the integration of explainable AI techniques like SHapley Additive exPlanations (SHAP), and Local Interpretable Model-agnostic Explanations (LIME), the proposed model offers insights into the underlying factors influencing anaemia predictions. …”
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Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke by Zhenyu Wang, Yuan Shen, Xianxian Zhang, Qingqing Li, Congsong Dong, Shu Wang, Haihua Sun, Mingzhu Chen, Xiaolu Xu, Pinglei Pan, Pinglei Pan, Zhenyu Dai, Fei Chen, Fei Chen

“…The prognostic prediction of AIS was notably influenced by the baseline NIHSS score, age, as well as texture and shape features of CBF.ConclusionThe integration of clinical data and multi-PLD ASL radiomics features in a model offers a secure and dependable approach for predicting the prognosis of AIS, particularly beneficial for patients with contraindications to contrast agents. …”
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Model-Based Optimization of a Sliding Vane Rotary Pump for Micro-Organic Rankine Cycle by Fabio Fatigati, Giammarco Di Giovine, Roberto Cipollone

“…Hence, a significant effort is required to develop technological solutions to enable decarbonization. The integration of Organic Rankine Cycle (ORC)-based units with renewable sources at a micro-scale of cogeneration units is commonly believed to be one of the most important technological alternatives. …”
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Hierarchizing multi-scale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese or... by Caumette, Cécile, Diatta, Paterne, Piry, Sylvain, Chapuis, Marie-Pierre, Faye, Emile, Sigrist, Fabio, Martin, Olivier, Papaïx, Julien, Brévault, Thierry, Berthier, Karine

“…Implementing integrated pest management programs to limit agricultural pest damage requires an understanding of the interactions between the environmental variability and population demographic processes. …”
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A comparative study between condensed polytetrafluoroethylene mesh versus other composite meshes in Endo-laparoscopic ventral herniorrhaphy by Meredeth Chin, James Lee Wai Kit, Sujith Wijerathne, Avelyn Aw, Daryl Chia Kai Ann, Sean Lee Kien Fatt, Tharun Ragupathi, Harry Ng Ho Man, Davide Lomanto

“…A new generation of monolayer condensed polytetrafluoroethylene (cPTFE) Omyra® mesh, which theoretically has better tissue integration with parietal tissue and possibly lesser adhesions with visceral organs is now available for use. …”
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A ribodepletion and tagging protocol to multiplex samples for RNA-seq based virus detection: application to the cassava virome by Daniel H. Otron, Justin S. Pita, Murielle Hoareau, Fidèle Tiendrébéogo, Jean-Michel Lett, Pierre Lefeuvre

“…Conclusions The use of the Ribo-M-Seq protocol will pave the way for large-scale sample analyses of collections with potentially complex viromes, such as those collected in the West African cassava integrated pest management program.…”
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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Functional enrichment analysis showed that these genes were mainly involved in pathways such as oxidative phosphorylation, phagosome, synaptic vesicle cycle, and pathways of neurodegeneration. We integrated the genes screened by three machine learning models (LASSO, SVM, and Random Forest), and CXCR4 was identified as a key gene with potential therapeutic value in DFUs. …”
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