Does the removal of fuel subsidies influence the willingness to adopt renewable energy? Evidence from MSMEs in Nigeria by Chinedu C Nsude, Rebecca Loraamm, Natalie Letsa

“…However, on 29 May 2023, the President of Nigeria announced the elimination of the fuel subsidy, resulting in an increase in energy and electricity costs exceeding 300%. This resulted in widespread protests nationwide, significantly affecting all sectors, particularly enterprises. …”
Get full text

Global burden and future projections of geriatric gout (1990–2021): a comprehensive analysis and Bayesian Age-Period-Cohort modeling by Jiqing Wang, Yonghui Zhao, Boya Zhao, Yingang Zhang

“…IntroductionGout is increasingly recognized as a major chronic condition among older adults, contributing significantly to global disease burden, healthcare costs, and disability.MethodsThis study utilized data from the Global Burden of Disease (GBD) database, covering 204 countries and regions from 1990 to 2021. …”
Get full text

A qualitative systematic review protocol for a synthesis of teachers’ and learners’ experiences with the Teaching and Learning Toolkit by Jiri Kantor, Jiri Kantor, Alzbeta Smrckova, Alzbeta Smrckova, Mohammad Zaman, Liliana Belkin, Liliana Belkin, Jana Rozmarinova, Jana Rozmarinova, Zuzana Svobodova, Zuzana Svobodova, Dagmar Sedlackova, Dagmar Sedlackova, Jitka Klugarova

“…The Teaching and Learning Toolkit created by the UK-based Education Endowment Foundation (EEF Toolkit) is recognized as one of the most important tools providing information on effectiveness, costs, and certainty of evidence for 30 education strategies. …”
Get full text

Automatic collaborative water surface coverage and cleaning strategy of UAV and USVs by Tianping Deng, Xiaohui Xu, Zeyan Ding, Xiao Xiao, Ming Zhu, Kai Peng

“…The simulation results show that the proposed algorithms have higher generality and flexibility while effectively improving computational efficiency and reducing actual cleaning costs compared with other schemes.…”
Get full text

A Review of the Impact of Climatic Factors on the Performance of Oxidation Pond (OP) and Its Linkage to the Circular Economy by Kundan Samal, Satya Ranjan Samal, Soumyaranjan Senapati, Alok Kumar Panda, Narala Gangadhara Reddy

“…Among these, oxidation ponds (OPs) have gained significant attention due to their low operational costs and minimal energy requirements. However, the performance of OPs can be shaped by multiple climatic parameters, incorporating sunlight, temperature, wind, precipitation, evaporation and seasonal variation. …”
Get full text

An ISAC-Assisted Beam Alignment Design for HAP-Based 6G Flying Ad-Hoc Networks by Muhammet Kirik, Liza Afeef, Huseyin Arslan

“…Utilizing an antenna activation controller, the proposed method efficiently uses a single antenna array for dual-purpose signals across different frequency bands, reducing deployment costs and enhancing system efficiency. Mathematical analysis and numerical results demonstrate that this method significantly improves system performance by reducing alignment time overhead, while maintaining high communication capacity, beamforming gain, and detection rates for targeted HAPs.…”
Get full text

Exploring the influence of air fractions on the performance of a vapor compression refrigeration system: an energy, exergy, and environmental analysis by Hayder Mohsin Ali, Saif Ali Kadhim, Karrar A. Hammoodi, Ali M. Ashour, Ahmed M. Hassan, Mohammed Azeez Alomari, Ali Habeeb Askar

“…The study highlights the critical need for rigorous system evacuation and leak prevention in refrigeration systems to maintain optimal efficiency and reduce operational costs.…”
Get full text

AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management by Luis Rojas, Álvaro Peña, José Garcia

“…The mining industry faces increasing challenges in maintaining high production levels while minimizing unplanned failures and operational costs. Critical assets, such as crushers, conveyor belts, mills, and ventilation systems, operate under extreme conditions, leading to accelerated wear and failure risks. …”
Get full text

Digital Twin-Based Online Diagnosis Method for Inter-Turn Short Circuit Fault in Stator Windings of Induction Motors by Yujie Chen, Leiting Zhao, Liran Li, Kan Liu, Cunxin Ye

“…It enables real-time monitoring and predictive maintenance, effectively reducing operational costs while preventing catastrophic failures.…”
Get full text

A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude by Hancan Zhu, Hongxia Yang, Yaqing Wang, Keli Hu, Guanghua He, Jia Zhou, Zhong Li, Alzheimer’s Disease Neuroimaging Initiative

“…Additionally, different segmentation tasks frequently require retraining models from scratch, resulting in substantial computational costs. To address these limitations, we propose PDoRA, an innovative parameter-efficient fine-tuning method that leverages knowledge transfer from a pre-trained SwinUNETR model for a wide range of brain image segmentation tasks. …”
Get full text

A just transition pathway for the coal industry from its ashes by Fabio Teixeira Ferreira da Silva, Thiago Aquino, Fernando Zancan, Pedro R.R. Rochedo, Roberto Schaeffer, Alexandre Szklo

“…Results indicate that TSA technology, while exhibiting slightly better energy performance, incurs higher costs compared to chemical absorption. Coal ash from a single power plant can yield up to 78 kt of zeolites annually, of which 15 % is required for CO2 capture at the coal plant, leaving surplus production to support up to four BECCS plants with a combined power capacity of 2.5 GW. …”
Get full text

The Effect of Combined Application of Rhodochrosite Slag and Biochar on Cadmium Uptake in Rice by Jing He, Zhixi Ye, Fugui Chen, Wentao Zhou, Xin Ma, Zhiqiang Fu

“…Cadmium (Cd) contamination in paddy soils severely threatens rice safety and human health. Currently, the high costs and technical barriers of existing Cd remediation methods limit their development, so it’s urgent to find an economical and feasible method. …”
Get full text

A Position- and Similarity-Aware Named Entity Recognition Model for Power Equipment Maintenance Work Orders by Ziming Wei, Shaocheng Qu, Li Zhao, Qianqian Shi, Chen Zhang

“…Next, a novel position- and similarity-aware attention module is proposed, where an innovative position embedding method and attention score calculation are designed to improve the model’s contextual understanding while keeping computational costs low. Further, with this module as the main body, combined with the BERT-wwm-ext and conditional random field (CRF) modules, an efficient NER model is jointly constructed. …”
Get full text

Pinene-Based Chiral Bipyridine Ligands Drive Potent Antibacterial Activity in Rhenium(I) Complexes by Justine Horner, Gozde Demirci, Aurelien Crochet, Aleksandar Pavic, Olimpia Mamula Steiner, Fabio Zobi

“…Antimicrobial resistance (AMR) poses a critical global health threat by rendering existing antibiotics ineffective against infections, leading to increased mortality, prolonged illnesses, and higher healthcare costs. Developing new antibiotics is essential to combat resistant pathogens, safeguard modern medical procedures, and prevent a return to a pre-antibiotic era where common infections become untreatable. …”
Get full text

Predicting Employee Turnover Using Machine Learning Techniques by Adil Benabou, Fatima Touhami, My Abdelouahed Sabri

“…Background: Employee turnover is a persistent issue in human resource management, leading to significant costs for organizations. This study aims to identify the most effective machine learning model for predicting employee attrition, thereby providing organizations with a reliable tool to anticipate turnover and implement proactive retention strategies.Objective: This study aims to address the challenge of employee attrition by applying machine learning techniques to provide predictive insights that can improve retention strategies.Methods: Nine machine learning algorithms are applied to a dataset of 1,470 employee records. …”
Get full text

A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…In order to improve classification performance while reducing costs, this article proposes a multikernel method based on a local binary pattern and random patches (LBPRP-MK), which integrates a local binary pattern (LBP) and deep learning into a multiple-kernel framework. …”
Get full text

Solar dryers: A review of mechanism, methods and critical analysis of transport models applicable in solar drying of product by Onyinyechi Nnamchi, Cyprian Tom, Godwin Akpan, Murphy Umunna, David Ubong, Mathew Ibeh, Adindu Linus–Chibuezeh, Leonard Akuwueke, Stephen Nnamchi, Augustine Ben, Macmanus Ndukwu

“…Solar drying has been demonstrated to be a sustainable and eco-friendly drying process for drying and preserving agricultural products, offering advantages over traditional methods that include faster drying rates, improved product quality, and reduced energy costs. This review examines the mechanisms and methods applicable to solar drying, including indirect and direct solar drying, hybrid systems combining solar drying with other heating sources, and thermal storage materials to address challenges such as intermittent solar radiation. …”
Get full text

Effects of free maternity care on beneficiary satisfaction: Multicentre study conducted in the Binza Météo Health Zone, Kinshasa, Democratic Republic of the Congo by Joel KAFUMBI, M. F. Mumvudi, M. N. Lufwa, N. S. D. Mabakutuvangilanga

“…However, many difficulties remain, including indirect costs (e.g., transportation, drugs, and ultrasound scans), overloaded infrastructure and healthcare staff, and challenges related to hygiene and resource availability. …”
Get full text

Simulation and Optimization of Gas Fractionation Process in Refinery by Dan ZHAO, Yanjuan WANG, Xianliang PAN, Jian ZHANG, Haotian YE

“…pressure double tower propane removal process can save 56.12% of steam load compared to the original process, save 49.83% of hot water load in the ethane removal tower compared to before optimization, reduce total energy consumption by 235.4 kW, and save about 339.71 yuan in thermal utility costs per hour.…”
Get full text

Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

“…This framework uses corroborative multi-source data to analyze current EMS facilities and suggests improvements through preservation, expansion, and new facility introduction, carefully considering construction costs, resident usage efficiency, and access equity. …”
Get full text