Building a community-driven bioinformatics platform to facilitate Cannabis sativa multi-omics research by Locedie Mansueto, Tobias Kretzschmar, Ramil Mauleon, Graham J. King

“…Use cases demonstrate the API’s utility for various omics analyses, enabling researchers to perform multi-omics analyses efficiently. …”
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Advances in Metal-Organic Frameworks (MOFs) for Rechargeable Batteries and Fuel Cells by Christos Argirusis, Niyaz Alizadeh, Maria-Εleni Katsanou, Nikolaos Argirusis, Georgia Sourkouni

“…Metal-organic frameworks (MOFs) are crucial for achieving clean and efficient energy conversion in fuel cells and storage in batteries and supercapacitors. …”
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Predicting Thermochemical Equilibria with Interacting Defects: Sr_{1−x}Ce_{x}MnO_{3−δ} Alloys for Water Splitting by Anuj Goyal, Michael D. Sanders, Ryan P. O’Hayre, Stephan Lany

“…Solar thermochemical hydrogen is one of the few potential routes towards direct fuel production from renewable energy sources, but the thermodynamic boundary conditions for efficient and economic energy conversion are challenging. …”
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Mining activities and social sustainability: Lessons from coal transport mobilization activities in Jambi Province by Citra Darminto, Riri Maria Fatriani, M. Yusuf

“…The research employs a qualitative method, utilizing documentation from online news sources and official government documents, including regional regulations. …”
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Towards sustainable water resources: A critical review of evaluating traditional and solar-based desalination technologies and innovations by Subodh Kumar Jha, Aritra Ghosh

“…Thermal technologies like Multi-Stage Flashing (MSF) and Multi-Effect Distillation (MED) are also utilized but are usually more energy-intensive. The integration of renewable energy sources, including solar, has improved sustainability, with hybrid solar desalination systems minimizing the energy intake by up to 30 %. …”
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Unveiling the shadows: obstacles, consequences, and challenges of information opacity in healthcare systems by Majid Alizadeh, Nazila Azizi, Samireh Mahdavi, Fouad Baghlani

“…A comprehensive search was conducted across major databases such as PubMed, Scopus, and Google Scholar, utilizing relevant keywords. Selection criteria focused on the relevance, quality, and timeliness of the sources, leading to a critical analysis of the extracted data through thematic synthesis. …”
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A Review on Software-Defined Networking for Internet of Things Inclusive of Distributed Computing, Blockchain, and Mobile Network Technology: Basics, Trends, Challenges, and Future... by Shakila Shafiq, Md. Sazzadur Rahman, Shamim Ahmed Shaon, Imtiaz Mahmud, A. S. M. Sanwar Hosen

“…As both of these concepts are new, they have received increasing attention from academic or industrial sources to emphasize their potential for integration. …”
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The Optimal Power Flow of Multiple Energy Carriers in Networked Multi-Carrier Microgrid by Vahid Amir, mahdi azimian

“…The proposed model is capable of minimizing the system costs by utilizing various sources and integrating the multiple-energy infrastructures as well as handling the energy management of the network. …”
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Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
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Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective by Fei Shi, Jingang Zhang, Tiantian Wu

“…In this study, we employed various data sources, including mobile phone signaling data, residential travel survey data, map API data, and bus credit card data. …”
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A Multi-Level Semi-Automatic Procedure for the Monitoring of Bridges in Road Infrastructure Using MT-DInSAR Data by Diego Alejandro Talledo, Anna Saetta

“…Since existing datasets often provide only point geometries for bridge locations, additional data sources such as OpenStreetMaps-derived repositories have been utilized to obtain linear representations of bridges. …”
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Optimal Subsampling for Upper Expectation Parametric Regression by Zhaolei Liu

“…However, in the realm of big data, it is exceedingly common for the error term to exhibit varying distributions due to discrepancies in data collection timing and sources. In this article, we expand upon and refine the upper expectation parameter regression model, introducing a novel upper expectation loss form, which handles distribution heterogeneity via group-specific <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>μ</mi><mi>i</mi></msub></semantics></math></inline-formula>, to ensure consistent and efficient parameter estimation. …”
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Vision Transformer Embedded Feature Fusion Model with Pre-Trained Transformers for Keratoconus Disease Classification by Md Fatin Ishrak, Md Maruf Rahman, Md Imran Kabir Joy, Anna Tamuly, Salma Akter, Dewan M. Tanim, Shahajada Jawar, Nayeem Ahmed, Md Sadekur Rahman

“…Eight state-of-the-art CNN architectures, including DenseNet121, EfficientNetB0, InceptionResNetV2, InceptionV3, MobileNetV2, ResNet50, VGG16, and VGG19, were utilized for feature extraction, while the ViT served as the classification head, leveraging its global attention mechanism for enhanced contextual learning, achieving near-perfect accuracy (e.g., DenseNet121+ViT: 99.28%). …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…Currently, Machine Learning (ML) and Deep Learning (DL) techniques are utilized to address the security threats in IoT networks. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…Malware detectors play a critical role in this endeavor, utilizing various techniques such as statistical analysis, static and dynamic analysis, and machine learning (ML) to compare signatures and identify threats. …”
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Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…This paper resolves these limitations by proposing a comprehensive scheme for multimodal Closed-Circuit Television (CCTV) video analysis. The utilized techniques in this paper comprise the Multimodal Deep Boltzmann Machine (MDBM), Multimodal Variational Autoencoder (MVAE) and Attention-based Fusion Networks, all of which fully utilize the learned representations. …”
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Designing a new tomato leaf disease classification framework using ran-based adaptive fuzzy c-means with heuristic algorithm model by Kanti Rongali Divya, Rao Gottapu Sasibhushana, Aruna Singam

“…The images related to tomato leaves are aggregated in the initial phase through online sources. Then, the images are forwarded to the pre-processing phase. …”
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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

“…By utilizing a distributed approach, the framework ensures secure, privacy-preserved model training on decentralized devices, enabling the capture of diverse smoking behavior patterns. …”
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Advancements in energy harvesting techniques for sustainable IoT devices by Ahsan Ali, Hamna Shaukat, Hassan Elahi, Shaista Taimur, Muhammad Qasim Manan, Wael A. Altabey, Sallam A. Kouritem, Mohammad Noori

“…The replacement and maintenance process is costly; thus, smart energy management is essential for IoT devices to be energy-efficient. Therefore, energy harvesting is a promising method to supply such low-powered IoT devices by utilizing various energy resources. …”
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Photothermal-promoted anion exchange membrane seawater electrolysis on a nickel-molybdenum-based catalyst by Libo Wu, Wanheng Lu, Wei Li Ong, Andrew See Weng Wong, Yuanming Zhang, Tianxi Zhang, Kaiyang Zeng, Zhifeng Ren, Ghim Wei Ho

“…Abstract Exploring active, durable catalysts and utilizing external renewable energy sources offer notable opportunities for advancing seawater electrolysis. …”
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