Legacy Pipes Unearthed: Decrypting the Enigma of Pressure Dynamics and Burst Events in Limburg, The Netherlands by Mohamad Zeidan, Bram Hillebrand, Mirjam Blokker

“…The results indicate a consistent pattern of higher real positive percentages compared to random detection rates across the years tested. …”
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From School to School: Examining the Contours of Within-Field Switching in the Special Education Teacher Labor Market by Andrew Pendola, Frank Perrone

“…Results show that SETs switch schools at much higher rates, associated with experience, salary, and student demographics, yet generally transfer shorter distances than their peers. …”
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High-Pressure Cylinder Failure under Fire Conditions – Investigation of the Consequences by Vojtech Jankuj, Petr Lepik, Miroslav Mynarz, Stefan Spitzer, Ales Bernatik

“…Hydrogen cylinders failed at pressures significantly lower than their rated destruction pressure due to thermal stress, generating fewer but substantial fragments and a fireball. …”
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Participatory Drawing Methodology for Light in Architecture: Drawing Experienced Space by Ulrika Wänström Lindh

“…Based on a study in which 16 participants’ experiences of different light scenarios were collected through sketches, semantic rating scales, and deep interviews, the participants drew the boundaries of what they experienced as “the room” and spatial directions inside it. …”
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Experimental Reconstruction of a Nineteenth Century Lower Limb Prosthetic Peg Leg – The Box Leg by Charlotte Waller-Cotterhill

“…However, that all societies (past and present) follow a single technological trajectory just at different rates of progress would be an inaccurate assumption (Pfaffenberger, 1992). …”
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Decoding Phthorimaea operculella (Lepidoptera: Gelechiidae) in the new age of change by Silvia I. RONDON

“…Scenarios of climate variation have increased the possibility of changes in pests' biological and ecological patterns by increasing or reducing overwintering length, changes in population growth rates, number of generations, crop-pest relationship, and therefore affecting their expansion. …”
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Heritability and Genetics of Type 2 Diabetes Mellitus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis by Evans Adu Asamoah, Christian Obirikorang, Emmanuel Acheampong, Max Efui Annani-Akollor, Edwin Ferguson Laing, Eddie-Williams Owiredu, Enoch Odame Anto

“…Sub-Saharan Africa (SSA) is observing an accelerating prevalence rate of type 2 diabetes mellitus (T2DM) influenced by gene-environment interaction of modifiable and nonmodifiable factors. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Comparison of Microbiological Profiles of Primary Hip and Knee Peri-Prosthetic Joint Infections Treated at Specialist Centers Around the World by Emin Suha Dedeogullari, Pablo Slullitel, Isabel Horton, Bulent Atilla, Saif Salih, Paul Monk, Ahmet Mazhar Tokgozoglu, Michael Goplen, Bonita Tsang, Martin Buljubasich, Hesham Abdelbary, Simon Garceau, George Grammatopoulos

“…However, most studies are limited to single-center or intra-country multicenter analyses, often including mixed cohorts of primary and revision PJI cases, with limited data regarding global antibiotic resistance patterns. This study compared the microbiological characteristics, polymicrobial culture rates, prevalence of culture-negative infections, and antibiotic resistance patterns in PJI cases across five referral centers from five continents. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Estimating medium-term (40 years) carbon uptake in living biomass from Life Terra’s afforestation and reforestation actions: challenges and recommendations by Jorge Palmero-Barrachina, Petr Blazek, Santiago Sabaté, Santiago Sabaté, Teresa Sauras-Yera, Samuel Allasia-Grau, Daniel Nadal-Sala, Daniel Nadal-Sala, Sven Kallen, Tiago de Santana, Emil Cienciala, Emil Cienciala

“…The study showed significant regional variations in planting density and growth patterns. Initial planting densities in timber plantations varied substantially across biogeographic regions (1,869–7,702 trees/ha), following exponential decline patterns over time. …”
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Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response by Cong Tang, Patrícia Corredeira, Sandra Casimiro, Qi Shi, Qiwei Han, Wesley Sukdao, Ana Cavaco, Cecília Melo-Alvim, Carolina Ochôa Matos, Catarina Abreu, Steven Walsh, Gonçalo Nogueira-Costa, Leonor Ribeiro, Rita Sousa, Ana Lorena Barradas, João Eurico Fonseca, Luís Costa, Emma V. Yates, Gonçalo J. L. Bernardes

“…By measuring the total concentrations of cysteine, free cysteine, lysine, tryptophan, and tyrosine protein-incorporated biomarkers and analyzing the results with supervised machine learning, we identify 78% of cancers with 0% false positive rate (N = 97) with an AUROC of 0.95. The cancer, healthy, and autoimmune/infectious biomarker pattern are statistically significantly different (p < 0.0001). …”
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Influences of coal-rock interface morphology’s spatiotemporal evolutionary characteristics on top coal caving law by Yupeng Shen, Tuo Yang, Jianzhuang Liu, Yang Li, Jianqiao Luo, Xiaonan Zhang

“…The sinusoidal periodic change pattern in top coal caving volume became more evident, which decreased the top coal recovery rate. …”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

“…Abstract Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. …”
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Exciton-phonon coupling and phonon-assisted exciton relaxation dynamics in In1-xGaxP quantum dots by Beiye C. Li, Kailai Lin, Ping-Jui E. Wu, Aritrajit Gupta, Kaiyue Peng, Siddhartha Sohoni, Justin C. Ondry, Zirui Zhou, Caitlin C. Bellora, Young Jay Ryu, Stella Chariton, David J. Gosztola, Vitali B. Prakapenka, Richard D. Schaller, Dmitri V. Talapin, Eran Rabani, Gregory S. Engel

“…We identify a slower hot exciton cooling rate in In0.62Ga0.38P/ZnS, attributed to the presence of ‘energy-retaining’ valley exciton states with strong exciton-phonon coupling. …”
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Community-Based Evaluation of Hypertension Awareness and Knowledge Among Underserved Bateyes in the Dominican Republic by Dang Nguyen, Ryan Shargo, Nityanand Jain, Yusuf Qureshi, Lovepriya Suthaharan, Ramez M. Odat, Cameron Sabet, Miyaz Ansari, Hamzah Khuddus, Phat K. Huynh, Michael J. Diaz, Reginald Kerolle, Ernest Kissi Kontor, Lindy G. Davidson

“…Background: Globally, hypertension rates are rising, particularly in low-income nations where access to healthcare and education remains limited. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Understanding barriers and opportunities for fresh produce access in eThekwini Metro, Durban, South Africa by Scott Drimie, Mieke Faber, Lisanne du Plessis

“… South Africa faces a triple burden of malnutrition – undernutrition, hidden hunger and increasing rates of overweight and obesity driven by poor dietary choices. …”
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