Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The Dynamic Time Warping algorithm calculates the similarity between monitored and simulated leak data, identifying likely leak locations. …”
Get full text

A peer-support lifestyle intervention for preventing type 2 diabetes in India: A cluster-randomized controlled trial of the Kerala Diabetes Prevention Program. by Kavumpurathu R Thankappan, Thirunavukkarasu Sathish, Robyn J Tapp, Jonathan E Shaw, Mojtaba Lotfaliany, Rory Wolfe, Pilvikki Absetz, Elezebeth Mathews, Zahra Aziz, Emily D Williams, Edwin B Fisher, Paul Z Zimmet, Ajay Mahal, Sajitha Balachandran, Fabrizio D'Esposito, Priyanka Sajeev, Emma Thomas, Brian Oldenburg

Get full text

Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…Results The umbrella review found that antiplatelets reduced major cardiovascular disease events in 8/17 meta-analyses (relative risks 0.85–0.97), while statins reduced cardiovascular disease mortality (relative risks 0.71–0.89), all-cause mortality (relative risks 0.66–0.93) and major cardiovascular disease events (relative risks 0.59–0.90). sodium-glucose transport protein 2 inhibitors reduced major cardiovascular disease events by 8% (relative risk 0.92, 95% confidence interval 0.89 to 0.95) and all-cause mortality by 6% (relative risk 0.94, 95% confidence interval 0.90 to 0.98). …”
Get full text

LIVER EXPLANATION TECHNOLOGY OPTIMIZATION by Александр Сергеевич Разумов, Григорий Валерьевич Вавин, Алексей Владимирович Будаев, Игорь Александрович Радионов, Ольга Дмитриевна Сидорова, Е. Е. Ставицкий, Дарья Александровна Раева, Ф. А. Будаев, Вадим Гельевич Мозес

“…Experimental testing of the developed liver explantation algorithm showed a decrease in the laboriousness and invasiveness of the operation, which was expressed in a reduction in the time of its implementation and in a decrease in morphological changes in the transplants during subsequent prolonged static hypothermic preservation.…”
Get full text

Single-cell transcriptomics and machine learning unveil ferroptosis features in tumor-associated macrophages: Prognostic model and therapeutic strategies for lung adenocarcinoma by Ting Ji, Ting Ji, Juanli Jiang, Juanli Jiang, Xin Wang, Xin Wang, Kai Yang, Kai Yang, Shaojin Wang, Shaojin Wang, Bin Pan, Bin Pan

“…Eight machine learning algorithms (LASSO, SVM, XGBoost, etc.) were leveraged to identify prognostic genes and build a Cox regression risk model. …”
Get full text

Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach by Ting Ni, Xiaohong Zhang, Peng Leng, Mark Pelling, Jiuping Xu

Get full text

The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…This study highlights the effectiveness of the EIV method in refining non-landslide sample selection and improving landslide susceptibility prediction, providing valuable insights for disaster risk reduction and land use planning.…”
Get full text

A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…In the measurement experiment, 220 images were used for testing, with manual protractor measurement results as the reference. The algorithm achieved a measurement accuracy of RMSE = 2.93°, MAE = 2.43°, and R2 = 0.94. …”
Get full text

Evaluation of Worker Fatigue During Exoskeleton-Assisted Tasks with Varying Intensities by Daehwi Jo, Gu Young Cho, Kyung-In Kang, Hyunsoo Kim

“…Worker fatigue is a significant concern in construction environments, particularly for high-intensity repetitive tasks that contribute to physical strain and increase the risk of accidents. This study evaluates the impact of exoskeleton-assisted work on fatigue reduction across different construction tasks and intensity levels. …”
Get full text

Integrated Optimization of Emergency Evacuation Routing for Dam Failure-Induced Flooding: A Coupled Flood–Road Network Modeling Approach by Gaoxiang An, Zhuo Wang, Meixian Qu, Shaohua Hu

“…These strategies and routes resulted in a significant reduction in evacuation time and minimized the risks to evacuees. …”
Get full text

COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

“…Despite the comprehensive system of regulation of the turnover of alcoholic products, consumers are still at risk of unconscious purchase of lowquality wine products. …”
Get full text

Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition to the deep convolutional neural network architecture model 4, the research contribution obtained from this research is the use of filter size variations of 3x3, 2x2, and 1x1 with a fixed number of convolutional layers and a reduction in the number of hidden layers in the algorithm structure can reduce the number of model parameters while maintaining high detection capability. …”
Get full text

A longan-picking sequence planning method for UAV system based on multi-target tracking by Kaixuan Wu, Meiqi Zhang, Linlin Shi, Hengxu Chen, Yuju Mai, Mingda Luo, Hengyi Lin, Jun Li

“…Manual harvesting of tall fruit trees is plagued by substantial labor intensity and significant operational risks, while ground-based manipulators encounter substantial challenges in achieving the picking of high-altitude fruits. …”
Get full text

Optimization of State Clustering and Safety Verification in Deep Reinforcement Learning Using KMeans++ and Probabilistic Model Checking by Ryeonggu Kwon, Gihwon Kwon

“…This study proposes a novel safety verification framework that combines state abstraction with probabilistic model checking to quantitatively analyze failure risks. The continuous state space is clustered using the KMeans++ algorithm, enabling efficient state space reduction. …”
Get full text

Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…In addition, this study conducts a real-world case analysis to verify the effectiveness of the proposed model and the algorithm. Furthermore, by deeply exploring the comprehensive impacts of supply disruptions and demand fluctuations on the cold chain network for fresh products, the mechanism of action of resilience strategies in dealing with supply chain risks is highlighted. …”
Get full text

Cyber-Physical System Security for Manufacturing Industry 4.0 Using LSTM-CNN Parallel Orchestration by Salman Saeidlou, Nikdokht Ghadiminia, Kwadwo Oti-Sarpong

“…However, these benefits have unleashed risks of cyber attacks on internet-connected manufacturing units such as autonomous intelligent computer-controlled cutting (ICNC) machines. …”
Get full text

Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Children aged between 72 hours and 18 years admitted to hospital and being treated with IV antibiotics for suspected or confirmed bacterial infection were randomised (1 : 1 ratio of allocation) using minimisation for age and centre and using a secure 24-hour web-based randomisation programme to a PCT-guided algorithm versus usual standard care alone. The sample size of 1942 was determined, based on detecting a 1-day reduction in IV antibiotic use (90% power, two-sided) and on a non-inferiority margin of 5% absolute risk difference (RD) in the composite safety outcome (90% power, one-sided), while allowing for up to 10% loss to follow-up. …”
Get full text

Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation by Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan

“…Existing dimensionality reduction techniques, such as fixed-interval downsampling and autoencoders, either risk discarding informative bands or disrupt spectral continuity, limiting their effectiveness for models like one-dimensional convolutional neural networks (1D-CNNs) that rely on local spectral patterns. …”
Get full text

Polyethylene glycol versus lactulose in the treatment of hepatic encephalopathy: a systematic review and meta-analysis by Gilles Jadd Hoilat, Mohamad Fekredeen Ayas, Judie Noemie Hoilat, Ahmed Abu-Zaid, Ceren Durer, Seren Durer, Talal Adhami, Savio John

“…Compared with lactulose, the pooled effect size demonstrated a significantly lower average HE Scoring Algorithm (HESA) Score at 24 hours (Mean difference (MD)=−0.68, 95% CI (−1.05 to –0.31), p<0.001), a higher proportion of patients with reduction of HESA Score by ≥1 grade at 24 hours (risk ratio (RR)=1.40, 95% CI (1.17 to 1.67), p<0.001), a higher proportion of patients with a HESA Score of grade 0 at 24 hours (RR=4.33, 95% CI (2.27 to 8.28), p<0.0010) and a shorter time to resolution of HE group (MD=−1.45, 95% CI (−1.72 to –1.18), p<0.001) in favour of patients treated with PEG.Conclusion PEG leads to a higher drop in the HESA Score and thus leads to a faster resolution of HE compared with lactulose.…”
Get full text

Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis by Xingmin Wei, Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

“…Additionally, net drift, localized drift, age-specific curves, and period/cohort relative risk were estimated through an age-period-cohort (APC) model implementing the intrinsic estimator (IE) algorithm.ResultsBetween 1990 and 2021, the incidence of AEMT decreased in both South Africa and China. …”
Get full text