Harnessing the dual role of hydroxyl radicals in a membrane microalgal-bacterial system for sustainable management of sulfamethoxazole-containing wastewater

IoT-enabled monitoring system for battery management in inverter systems

Practical realization and full cycle performance of an “hourglass” system for transient thermal management based on dynamic melting

A comprehensive review of microgrids with hydrogen energy systems: energy management strategies and system optimization

Pharmaceutical footprint in the river ecosystem: Suspect screening approach with high resolution mass spectrometry.

Preparation of methyl stearate phase change emulsion and its application in the thermal management system of a lithium-ion battery pack

A dual-strategy thermal management system for lithium-ion battery: integrating immersion cooling with shape-stable phase change materials

Research on the fuzzy proportional-integral-derivative control strategy of a hybrid battery thermal management system under different ambient temperatures

The challenges of being "Always Online": A qualitative study on the work-life balance predicament of counselors in Chinese universities - An analysis based on NVivo15.

Load demand forecasting of chhattisgarh state for demand management system with optimal feature selection using XGBOOST approach

Optimal energy management system for a community microgrid: A case study from the Gambia

Design and performance analysis of a multi-stage phase change material-based thermal management system for lithium-ion batteries

In the era of time-domain astronomy, automated and efficient data processing is a crucial factor in ensuring astronomical scientific output. With the international collaboration trend in large-scale sky survey projects, data processing algorithms developed through multi-institutional collaboration face challenges in system integration, scheduling capability, extensibility, and traceability. In this work, we employ containerized execution modules to resolve dependency issues in multi-institutional software integration, implement complex workflow orchestration through message queue control modules, including cyclic dependencies, dynamic parallel relationships, and resource/priority-based scheduling. The system also non-intrusively implements the International Virtual Observatory Alliance (IVOA) provenance data model through aspect injection mechanisms, ensuring traceability and reproducibility of data products. In Einstein Probe (EP) data processing, the system has processed over 20,000 general observations, 170,000 FXT observations, and 21,000 VHF and Beidou alerts, supported over 300 agile algorithm updates, and detected more than 17,000 sources and nearly 200 transient events. The system demonstrates excellent generality and portability, smoothly migrating from the single-module LEIA to the 12-module EP, and supporting data fusion for new payload FXT and multiple data transmission links. This workflow management system provides a flexible, extensible, and standardized data processing framework for future large-scale astronomical observation projects, effectively addressing key issues such as multi-institutional collaboration, complex workflow orchestration, and scientific data reproducibility.

Light-driven switchable polyacrylamide/chitosan-based hydrogel dressings for outdoor wound temperature regulation and enhanced skin regeneration.

Development of IoT-based energy management system to maximize energy savings in Iraq

Thermal study of the battery thermal management system based on electric mining trucks under different working conditions

The red-haired bark beetle (RHB), Hylurgus ligniperda (Fabricius), is a significant invasive pest responsible for widespread mortality in pine forests. Current control methods are largely ineffective and poorly integrated, failing to halt the spread of RHB. This study aimed to develop and validate an integrated management system that leverages the beetle's behavioral patterns and implements stratified management strategies based on the severity of infestation levels. We first enhanced trapping efficiency by optimizing key technologies, including trap design, deployment methods, and lure formulations. Building on this foundation, we developed a stratified management plan with the following key measures: in newly colonized stands, a strategy combining benzyl alcohol repellents and optimized lure attractants, along with flight-interception traps, significantly reduced spread, decreasing the proportion of dead trees from 12.5% to 2.6%. In outbreak stands, intensive measures such as stump removal and mass trapping reduced the RHB population density by 99.05%. Additionally, replanting alters stand volatiles, reducing their attractiveness to the beetles. The stratified management strategy, applied to both newly colonized and outbreak stands of RHB, proved highly effective in suppressing population growth and preventing further dispersal. This approach offers a key technical solution for restoring damaged coastal ecosystems and provides a valuable reference for managing similar invasive pests worldwide. © 2025 Society of Chemical Industry.

West Nile Virus human cases in Türkiye in 2024.

This study aims to analyze and classify best-selling and least-selling products in the Babygear.Project store using the Naïve Bayes algorithm. The data used includes sales and user interaction data collected from the store management system, then a preprocessing stage is carried out to ensure data quality before being used in modeling. The testing process is carried out by dividing the dataset into training data and test data using a 60:40 ratio. The test results show that the Naïve Bayes model has an accuracy of 92.68%, with consistently high precision, recall, and F1-score values across both product categories. Further analysis reveals that the features of sales volume, purchase frequency, product category, product price, and user interaction are the most dominant factors in the classification process. The implementation of this model provides strategic benefits, especially in optimizing stock management, promotional planning, and data-driven decision making to improve operational efficiency and customer satisfaction. This study also opens up opportunities for further development, such as the addition of predictor variables, the use of larger datasets, and testing benchmark algorithms to improve prediction accuracy in the future.

The article examines marketing logistics as an integrated management system within transport enterprises, emphasizing its role in creating sustainable competitive advantages through the effective management of flows and delivery of services that preserve consumer value. In modern economic conditions, traditional isolated application of marketing and logistics tools often fails to ensure the achievement of strategic objectives, particularly under circumstances of high uncertainty, resource limitations, and disruptions in supply chains, such as those experienced during martial law. Marketing logistics emerges as an integrative mechanism that combines market-oriented approaches with process- and flow-oriented logistics, aligning demand generation with the enterprise’s operational capabilities. A critical review of domestic and international literature reveals a lack of unified conceptual understanding of marketing logistics. Foreign studies tend to interpret it from a logistics perspective, emphasizing operational efficiency and physical distribution, while domestic research increasingly views it as a comprehensive, integrative system that coordinates marketing and logistics decisions to achieve long-term competitive advantages. The article classifies approaches to marketing logistics into three groups: functional-distributional, integration-oriented, and value-oriented (synthetic), reflecting its evolution from a narrowly operational function to a strategic management concept. The study offers a conceptual generalization of marketing logistics as an integrated management system under conditions of high uncertainty. The study identifies key objectives and tactical tasks of marketing logistics, including ensuring full and timely satisfaction of consumer demand, optimizing logistics costs, maintaining service quality, enhancing resilience, and supporting sustainable development and digital transformation. The article further delineates the core functions of marketing logistics — analytical, planning, organizational, coordination, control, and value-oriented — demonstrating their integrative nature in harmonizing marketing and logistics processes. Comparative analysis highlights that marketing logistics not only delivers physical products but also generates additional value for the consumer by balancing service levels with operational efficiency. The findings underscore the relevance of marketing logistics as a holistic management tool for transport enterprises operating in dynamic and uncertain environments. Prospects for further research include the development of digital, data-driven, and adaptive approaches to enhance efficiency, resilience, and sustainability in marketing logistics processes.