Leveraging life cycle assessment for energy transition in iron ore production by Mahdi Pouresmaieli, Ali Nouri Qarahasanlou, Abbas Barabadi

“…These findings highlight that integrating clean energy into mining complexes not only supports the fulfillment of international environmental commitments but also enhances economic and social resilience by lowering operational costs and increasing employment. Given that the data used is consistent with the global rate without dependence on the mining sector. …”
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Development and validation of a minimal SNP genotyping panel for the differentiation of Cannabis sativa cultivars by Alex Cull, David L. Joly

“…Conclusions Our key recommendations are to increase sampling density to account for intra-cultivar variability; leverage higher read length paired-end short-read technology; conduct in-depth pre- and post-processing of reads, mapping, and variant calling data; integrate trait-associated loci to develop multi-purpose panels; and use iterative approaches for in vitro validation to ensure that only the most discriminant and performant SNPs are retained.…”
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The relationship of age, sex and prothrombin time related to the severity of COVID-19 patients with diabetes mellitus: a systematic review and meta analysis [version 6; peer review... by Audrey Fabianisa Mirza, Mutiara Indah Sari, Ceria Halim

“…Looking at the prevalence data in the world and in Indonesia, the highest mortality rate due to COVID-19 involves age, gender and comorbidities such as diabetes mellitus. …”
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Identifying Individual Jaguars and Ocelots via Pattern‐Recognition Software: Comparing HotSpotter and Wild‐ID by Robert B. Nipko, Brogan E. Holcombe, Marcella J. Kelly

“…These programs do not provide fully automatic identification of individuals and human involvement is still required to confirm matches, but we found that they are effective tools to expedite processing of camera‐trap data. We also offer usage recommendations for researchers to maximize the benefits of these tools. © 2020 The Wildlife Society.…”
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Effect of grinding wheel type and cooling method on grinding quality of SiCf/SiC ceramic matrix composites by Ben WANG, Jiajie TANG, Hongdi CHU, Qi ZHANG

“…Therefore, from the perspective of processing performance and durability, the sintered diamond grinding wheel in grinding SiCf/SiC composite materials shows better comprehensive performance, especially under water-cooled conditions, where processing quality and stability are more advantageous.Discussion and optimization suggestionsBased on experimental data analysis, to optimize the grinding process of SiCf/SiC composites, the grinding wheel type and cooling method should be reasonably selected according to different processing stages. …”
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Vertical Flow Constructed Wetland Design for Domestic Wastewater Treatment for Communal Scale in DKI Jakarta Environmental Service Dormitory by Giovanni Ruly Putra, Betanti Ridhosari, Evi Siti Sofiyah, Nurulbaiti Listyendah Zahra, Ariyanti Sarwono, I Wayan Koko Suryawan

“…Following more in-depth processing of the available data, it was discovered that the existing outlet wastewater had a low C/N ratio. …”
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Optimizing the automated recognition of individual animals to support population monitoring by Tijmen A. deLorm, Catharine Horswill, Daniella Rabaiotti, Robert M. Ewers, Rosemary J. Groom, Jessica Watermeyer, Rosie Woodroffe

“…However, obtaining individual‐based demographic rates requires long‐term data, which is often costly and difficult to collect. …”
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Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System by Ruihua Shao

“…However, the algorithms used in traditional recommendation technology focus on the single-computer environment and do not consider the performance of the recommendation method when distributed parallel processing is required in the big data environment, so it cannot meet the personalized needs of users in the big data environment. …”
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Aspergillusidone G Exerts Anti-Neuroinflammatory Effects via Inhibiting MMP9 Through Integrated Bioinformatics and Experimental Analysis: Implications for Parkinson’s Disease Inter... by Fangfang Ban, Longjian Zhou, Zhiyou Yang, Yayue Liu, Yi Zhang

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Leveraging Priority Queueing in IoT-Edge-Fog-Cloud Infrastructures for Efficient Healthcare Monitoring by Dang Van Anh, Van-Hau Nguyen

“…The rapid growth of the Internet of Healthcare Things (IoHT) has led to challenges in real-time processing, prioritization, and resource allocation of heterogeneous healthcare data. …”
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Enhancing Healthcare With WBAN and Digital Twins: A Machine Learning Approach for Predictive Health Monitoring by Rishit Mahapatra, Deepak Sethi, Kaushik Mishra

“…The collected data undergoes processing and is then sent to a remote medical server over the Internet. …”
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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The results suggest that our system obtains a high rate of data processing and a reduced time delay in comparison to existing systems. …”
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Analysis of daytime land surface temperature in Iran based on the MODIS sensor output by Mahmoud Ahmadi, AbbasAli Dadashi Roudbari, Hamzeh Ahmadi

“…The present study intends to investigate the state of Daytime LST in Iran in different months of the year based on the output of MODIS Terra images.Materials and methods: In this study, the fifth product of MODIS Terra called (Mod11C3 v005) with a spatial resolution of 5×5 kilometer and a Daytime  time period, which became monthly data after the necessary processing, was used. In this study, considering the significant precision of day-night-based physics algorithm, Wan et al. (2002) has used this method to study Daytime LST in Iran. …”
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EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI by Md. Ehsanul Haque, Mahe Zabin, Jia Uddin

“…Traditional fault detection methods suffer mainly from high false positive and false negative rates, computational complexity, and lack of transparency in decision-making methods. …”
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Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques by Amir Askarinejad, Amirreza Sabahizadeh, Erfan Kohansal, Zahra Ghasemi, Majid Haghjoo

“…The primary outcome was early recurrence of AF within 3 months’ post-ablation. Data preprocessing and feature selection were performed, followed by the development and evaluation of various machine learning models. …”
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Efficient diagnosis of diabetes mellitus using an improved ensemble method by Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam

“…Abstract Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfitting, and data noise. …”
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Unraveling Racial Disparities in Papillary Thyroid Cancer: A Comparative Bulk RNA-Sequencing Gene Expression Analysis by Luiza Barseghyan, Samuel Chan, Celina R. Yamauchi, Andrea Shields, Mia C. Perez, Alfred A. Simental, Salma Khan

“…Preprocessing included quality control, adapter trimming, and genome alignment. …”
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Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction by Tahsien Al-Quraishi, Osamah Albahri, Ahmed Albahri, Abdullah Alamoodi, Iman Mohammed Sharaf

“…The banking industry faces significant challenges, from high customer churn rates to threatening long-term revenue generation. …”
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5G-Enabled Electricity Internet of Things: the Network Architecture and Key Technologies by Ke XIONG, Ruichen ZHANG, Rui WANG, Guidong ZHONG, Yu ZHANG

“…The EIoT would be a typical example of the Smart Energy Internet, which enjoys the features of comprehensive perception, efficient response, and flexible processing. The fifth-generation mobile communication network (5G) has the characteristics of "high rate, high capacity, high reliability, low latency and low energy consumption". …”
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Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network by Fanar E. K. Al-Khuzaie, Oguz Bayat, Adil D. Duru

“…In the literature, several image processing techniques, as well as machine learning strategies, were introduced for the diagnosis of the disease. …”
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