Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Spatiotemporal Analysis of Obesity: The Case of Italian Regions by Elena Grimaccia, Luciano Rota

“…During the period under analysis, obesity prevalence rates in Italy show a tendency to grow, with a sharp increase during the COVID-19 lockdown.…”
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Wellbeing among U.S. Veterans: Results from the 2010 National Survey of Veterans by Thibault Deneve, Ellis Scott Logan

“…Our research focuses on self-rated general health and access to healthcare among veterans. …”
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Features of myocardial damage at COVID-19 by S. H. Hamidov, A. G. Obrezan, P. S. Lobanova, S. V. Azarenko

“…Some studies also provide comparative data on COVID-19+ and COVID-19- patients, complication patterns, and mortality rates. The results of the studied materials shows that, the frequency of cardiac complications and the number of deaths are significantly more common in patients with concomitant diseases such as arterial hypertension, diabetes mellitus, obesity, CKD, arrhythmias. …”
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A novel model for accurate and fast prediction of cancer incidence by Mahmoud Hamed, Berlanty A. Zayed, Fotouh R. Mansour

“…The high degree of similarity between the actual and predicted cancer incidence rates was notable. Similar results were obtained when predicting cancer incidence rates in the countries studied. …”
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Evolution of the Diagnosis and Treatment of Acute Respiratory Distress Syndrome on the Basis of Up-to-Date Medical Technologies by Yu. V. Marchenkov, A. V. Vlasenko, V. V. Moroz, V. N. Yakovlev

“…Negovsky Research Institute of General Reanimatology, Russian Academy of Medical Sciences, in conducting fundamental studies of the morphological, functional, and clinical patterns of the development of acute respiratory distress syndrome (ARDS), by using up-to-date medical technologies. …”
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A Case Study Analysis of Separation Anxiety in the Effect of the Maternal and Paternal Role on Separation Anxiety in Early Childhood by Elena Drazheva

“…The aim is to understand how different patterns of attachment and family dynamics influence the intensity of anxiety reactions. …”
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Effectiveness of the sterile insect technique in controlling Aedes albopictus as part of an integrated control measure: evidence from a first small-scale field trial in Switzerland by Diego Parrondo Monton, Damiana Ravasi, Valentina Campana, Francesco Pace, Arianna Puggioli, Matteo Tanadini, Eleonora Flacio

“…Similar spatial trends were observed for hatch rates and adult females (P < 0.01). These findings highlight both the overall effectiveness of SIT and the influence of mosquito immigration on spatial patterns. …”
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Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis by Lil Meyer-Arndt, Rebekka Rust, Judith Bellmann-Strobl, Tanja Schmitz-Hübsch, Lajos Marko, Sofia Forslund, Michael Scheel, Stefan M. Gold, Stefan Hetzer, Friedemann Paul, Martin Weygandt

“…The fact that a machine learning model trained to associate fMRI fear response patterns with fear ratings in HPs predicts fear ratings from fMRI data across MS groups using an MVPA cross-decoding approach suggests that generic fear processing mechanisms substantially contribute to anxiety in MS.…”
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Effect of cholesterol on distribution, cell uptake, and protein corona of lipid microspheres at sites of cardiovascular inflammatory injury by Lingyan Li, Xingjie Wu, Qianqian Guo, Yu'e Wang, Zhiyong He, Guangqiong Zhang, Shaobo Liu, Liping Shu, Babu Gajendran, Ying Chen, Xiangchun Shen, Ling Tao

“…Then, the slow cellular uptake rate observed for CH@LM contributed to a prolonged duration of drug efficacy. …”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…Additionally, the U-Net-ASPP_Cent and U-Net-ASPP_Diag configurations provided IoU gains of 1.18% and 1.96%, respectively, while also reducing false positive rates. These results highlight the effectiveness of incorporating region-specific dilation strategies, enhancing the model’s ability to detect diverse and challenging fault patterns in complex thermal imagery. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. …”
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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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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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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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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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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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