ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions by Pavan Kumar S, Nirav Pravinbhai Bhatt

“…ThermOptCOBRA also facilitates efficient loop detection and removal from flux distributions, improving predictive accuracy across flux analysis methods. …”
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Novel Pt@PCN-Cu-induced cuproptosis amplifies αPD-L1 immunotherapy in pancreatic ductal adenocarcinoma through mitochondrial HK2-mediated PD-L1 upregulation by Pengyu Wang, Weihua Guo, Shuyue Liu, Shouyi Li, Jiaqi Li, Bowen Ding, Fengyi Yin, Yang Yang, Xingjiang Li, Pei Cao, Chaozhe Ma, Wanying Zhang, Yidan Song, Yating Geng, Lantao Liu, Jing Hu, Jihui Hao, Yukuan Feng

“…Methods Pt@PCN-Cu was synthesized via a one-pot method, and its therapeutic potential was assessed in combination with αPD-L1 for the treatment of PDAC. …”
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Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…This study provides a significant advancement over traditional empirical methods by offering a data-driven approach for predicting HSS performance under elevated temperatures, facilitating the design of safer and more efficient structural components in high-temperature applications.…”
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Potential Aphid (Hemiptera: Aphididae) Vectors of Plum-pox Virus (Virus:Potyviridae) and Status of Sharka Disease in Stone Fruit Orchards in the East Mediterranean Region of Turkey by Melike Yurtmen, Hakan Fidan, Adalet Hazır

“…A total of 8 orchards were resulted as PPV-infected with both analyzing methods in the region. Three of these orchards were infected with aphids as well. …”
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Fluconazole Resistance and Heteroresistance in Cryptococcus spp.: Mechanisms and Implications by Izabela de Mesquita Bárcia Moreira, Naira Sulany Oliveira de Sousa, Juan Diego Ribeiro de Almeida, Robert Langlady Lira Rosas Filho, Katia Santana Cruz, Ani Beatriz Jackisch Matsuura, Márcia de Souza Carvalho Melhem, Érica Simplício de Souza, Hagen Frickmann, Marcus Vinícius Guimarães Lacerda, João Vicente Braga de Souza

“…This review addresses the underlying mechanisms of antifungal resistance, the evolution of methods for determining antifungal susceptibility, and the clinical implications of Cryptococcus heteroresistance to fluconazole. …”
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Toward Low-Cost Digital Twins for Urban Transportation Systems by Oskar Wysocki, Michal Kuziemski, Andre Freitas, Michal Wasilczuk, Jacek Czyzewicz

“…Our approach includes developing the DT concept, identifying essential tram components for monitoring, such as the drive train, transmission, electric motor, inverter, suspension, and brakes, and determining the appropriate methods and metrics for their Predictive Maintenance (PM). …”
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ECOLOGY OF AGRICULTURAL LAND USE THE NORTH CAUCASIAN FEDERAL DISTRICT by M. R. Musaev, D. A. Shapovalov, P. V. Klyushin, S. V. Savinova

“…The aim is to make an evaluation of the processes taking place on agricultural lands when intensively used on the territory of the North Caucasus Federal District of the Russian Federation.Methods. Analysis of literary sources and conventional techniques with the use of geo-informational systems.Results. …”
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Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment by Zhenzhen Cheng, Yifan Cheng, Bailing Miao, Tingting Fang, Shoufu Gong

“…Growing consumer demand for high-quality strawberries has highlighted the need for accurate, efficient, and non-destructive methods to assess key postharvest quality traits, such as weight, size uniformity, and quantity. …”
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Graph-Driven Deep Reinforcement Learning for Vehicle Routing Problems with Pickup and Delivery by Dapeng Yan, Qingshu Guan, Bei Ou, Bowen Yan, Hui Cao

“…The single-head attention decoder then applies a computationally efficient compatibility layer to sequentially determine the next node to visit. …”
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The study begins with dataset description and preparation, followed by the selection of traffic forecasting models, and concludes with performance evaluation based on metrics such as Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Symmetric Mean Absolute Percentage Error (SMAPE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R²). The main contribution of this research is a comprehensive comparison of the three forecasting methods, aiding practitioners and researchers in identifying the best prediction model for specific contexts. …”
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Financial Planning and Self-control on Retirement Well-being through Financial Behaviour: Evidence from a Developing Country by P. A. N. S. Anuradha, T. Udayangani, G. S. Jayarathna

“…Results highlight the critical role that financial behaviour plays in determining retirement well-being, with efficient financial planning having a greater impact than self-control. …”
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Preliminary exploration and application research on the model of gathering distillate according to the quality based on Fourier transform near infrared spectroscopy by LIAO Li, ZHANG Guiyu, ZOU Yongfang, ZHU Xuemei, PENG Houbo, ZHANG Wei, LI Yan

“…Multiplicative scatter correction (MSC), competitive adaptive reweighting algorithms sampling (CARS) and support vector regression (SVR) were better methods to construct the regression prediction model, with coefficient of determination R² and root mean square error (RMSE) mean values of 0.8951 and 0.03, respectively. …”
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Evaluación del efecto del ultrasonido en la homogenización del helado a base de leche by Yesenia Campo-Vera, Nidia Yazmín Luna-Granados, María Fernanda Silva-Pinto

“…This research aims to evaluate the effect of ultrasound at different frequencies (40 and 80 kHz) for 30 min on the viscosity and crystallization parameters of milk-based ice cream at the laboratory level. Methods. For which, the ice cream making process was carried out applying US (40-80 kHz / 30 min) in the homogenization stage. …”
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Rotavirus in Water Environments: A Systematic Review and Meta-Analysis by Aaron Awere-Duodu, Eric S Donkor

“…Further research is needed to find more efficient methods that can effectively eliminate rotavirus to insignificant levels in water environments.…”
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THE CLIMATE VARIABILITY OF THE AGRICULTURAL YEAR 2016- 2017 CASE STUDY: THE SOUTH-WEST OLTENIA REGION, ROMANIA by Dana Maria (OPREA) CONSTANTIN, Ion MARINICĂ, Nicoleta IONAC, Andreea Floriana MARINICĂ, Elena GRIGORE, Elena BOGAN, Florina TATU

“…The variability of the main thermic and water parameters, of each agricultural year, determines the fluctuation of the crops. The analysis of these resources represents the sine qua non conditions for an efficient agricultural management.…”
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Objective Identification of Tropical Cyclone Systems With Potential for Storm Surge Impact in the Western North Pacific by Xiaoqi Zhang, Gregor C. Leckebusch, Kelvin S. Ng

“…This can be addressed by constructing physically consistent large tropical cyclone event sets, for example, from ensemble simulations. To allow efficient construction of these event sets, we propose a combination (M&S‐WiTRACK) of two objective tracking methods relying solely on near‐surface information and validate the performance of the combination on detecting tropical cyclones with potential for storm surge impact using ERA5. …”
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A Review on New Frontiers in Drug-Drug Interaction Predictions and Safety Evaluations with In Vitro Cellular Models by Lara Marques, Nuno Vale

“…These interactions can lead to altered drug exposure, potentially compromising efficacy or increasing the risk of adverse drug reactions (ADRs), thereby posing significant clinical and regulatory concerns. Traditional methods for assessing potential DDIs rely heavily on in vitro models, including enzymatic assays and transporter studies. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. …”
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Relationship between nerve conduction studies and risk of fall in elderly by K G Palani, L D Parmar

“…Methods Using purposive sampling 18 elderly subjects reported healthy were selected and underwent BBS, TUS& TUG. …”
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Physician Review Websites: Understanding Patient Satisfaction with Ophthalmologists Using Natural Language Processing by Jason J. Jo, Christopher P. Cheng, Stephanie Ying, James G. Chelnis

“…Methods. Healthgrades is a PRW where patients submit verified reviews, containing a star rating and a narrative review, of US-based ophthalmologists. …”
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