Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$ Z ^ -Information by Shahzaib Ashraf, Amna Khalid, Bushra Batool, Mehdi Tlija, Chiranjibe Jana, Dragan Pamucar

“…This integration is to enhance the ability of the model to address completely unclear decisions utilizing the peculiarities of $${\hat{Z}}$$ Z ^ -numbers. …”
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Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review by Wagner Martins dos Santos, Lady Daiane Costa de Sousa Martins, Alan Cezar Bezerra, Luciana Sandra Bastos de Souza, Alexandre Maniçoba da Rosa Ferraz Jardim, Marcos Vinícius da Silva, Carlos André Alves de Souza, Thieres George Freire da Silva

“…With the growing demand for efficient solutions to face the challenges posed by population growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a promising solution for monitoring biophysical and physiological parameters in forage crops due to their ability to collect high-frequency and high-resolution data. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“…Bone tissue as an object of research and superimposition of tomographic evaluation results, is unique in terms of analysis capacities that by its structure allows the efficient use of surface parameters and the voxel characteristics algorithms for image overlaying. …”
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Dynamic Boronate Ester Based Hydrogel with Enhanced Mechanical Properties and Multi-Stimuli-Triggered Release for Tissue Repair and Antioxidant Therapy by Fangyi Liu, Gaoyang Li, Zhenhui An, Sijia Wang, Shouhong Xu, Honglai Liu

“…Additionally, cell viability tests verified the hydrogel’s outstanding biocompatibility, and antioxidant experiments demonstrated its efficient ability to scavenge intracellular ROS. In conclusion, this injectable and biodegradable hydrogel possesses multi-stimuli responsiveness, controllable drug release behavior, and antioxidant capacity, presenting a promising approach to alleviate oxidative damage and promote tissue repair. …”
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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

“…Our approach significantly reduces computational costs and improves efficiency and model generalizability ability. Furthermore, it eliminates the requirements of data preprocessing, manual annotation, and model training compared with traditional methods. …”
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Comparative Analysis of Load Profile Forecasting: LSTM, SVR, and Ensemble Approaches for Singular and Cumulative Load Categories by Ahmad Fayyazbakhsh, Thomas Kienberger, Julia Vopava-Wrienz

“…Nevertheless, visual analysis clearly showed the strong ability of LSTM to capture peaks. This LSTM potential was also shown by the mean absolute percentage error (MAPE) and symmetric mean absolute percentage error (SMAPE) during the on-peak period, with around 3–5% improvement compared to SVR and the blended model. …”
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Deep-Learning-Based Segmentation of Cells and Analysis (DL-SCAN) by Alok Bhattarai, Jan Meyer, Laura Petersilie, Syed I. Shah, Louis A. Neu, Christine R. Rose, Ghanim Ullah

“…We demonstrate the program’s ability to automate cell identification and study cellular ion dynamics using synthetic image stacks with varying SNR. …”
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Lightweight highland barley detection based on improved YOLOv5 by Minghui Cai, Hui Deng, Jianwei Cai, Weipeng Guo, Zhipeng Hu, Dongzheng Yu, Houxi Zhang

“…Abstract Accurate and efficient assessment of highland barley (Hordeum vulgare L.) density is crucial for optimizing cultivation and management practices. …”
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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…RGB sensors) and the ability to predict yield from observations across growth stages. …”
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Dynamics of the Traveling Wave Solutions of Fractional Date–Jimbo–Kashiwara–Miwa Equation via Riccati–Bernoulli Sub-ODE Method through Bäcklund Transformation by M. Mossa Al-Sawalha, Saima Noor, Mohammad Alqudah, Musaad S. Aldhabani, Roman Ullah

“…The dynamical wave solutions of the time–space fractional Date–Jimbo–Kashiwara–Miwa (DJKM) equation have been obtained in this article using an innovative and efficient technique including the Riccati–Bernoulli sub-ODE method through Bäcklund transformation. …”
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Adaptive distributed honeypot detection network for enhanced cybersecurity against DoS and DDoS attacks by V. Selva Kumar, K.R. Mohan Raj, S. Gopalakrishnan, G. Vennila, D. Dhinakaran, P. Kavitha

“…These attacks, characterized by their ability to disrupt services and compromise resources, require innovative and robust detection mechanisms to safeguard highly interactive environments such as honeypot systems. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…[Objective] Photovoltaic power forecasting is a key technology to improve the efficiency of solar energy utilization and reduce operating costs. …”
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Harnessing chitosan for zinc and hydroxychloroquine delivery, interactions with fibronectin, and antibacterial activity by Anju Manuja, Juhi Nagra, Dharvi Chhabra, Kanish Manuja, Monika Sihag, Minakshi Prasad, Balvinder Kumar

“…Chitosan was selected as an efficient carrier for zinc (Zn) and hydroxychloroquine (HC) due to its ability to mitigate their adverse effects. …”
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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…This study's objective was to evaluate the ability of biomass derived from Prosopis juliflora fruit to uptake arsenic from wastewater.METHODS: Following the drying process, the harvested biosorbent was processed into a fine powder through grinding. …”
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An FPGA-accelerated multi-level AI-integrated simulation framework for multi-time domain power systems with high penetration of power converters by Chen Liu, Peng Su, Hao Bai, Xizheng Guo, Alber Filbà Martínez, Jose Luis Dominguez Garcia

“…The results confirm the framework’s ability to capture multiphysics interactions, optimize energy distribution, and ensure system stability under dynamic conditions, providing an efficient and scalable solution for advanced DC microgrid simulations.…”
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Effect of Composition and Processing Conditions on Selected Properties of Potato-Based Pellets and Microwave-Expanded Snacks Supplemented with Fresh Beetroot Pulp by Katarzyna Lisiecka, Agnieszka Wójtowicz, Agnieszka Sujak

“…The addition of fresh beetroot pulp diminished the expansion ability and increased the content of β-sheet proteins. …”
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Research of the process of obtaining capillary-porous materials from metal powders for heat pipes by L. P. Pilinevich, M. V. Tumilovich, A. G. Kravtsov, D. M. Rumiantsav, K. V. Hryb

“…Their main advantages are their high heat transfer capacity, as well as the ability to retain the coolant in a capillary-porous structure under dynamic power loads. …”
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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…Integrating DenseNet169 and ResNet50 strengthens the feature reuse by connecting each layer to every other layer in a dense manner for efficient gradient flow thus reducing the number of parameters. …”
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A single-stranded based library preparation method for virome characterization by Xichuan Zhai, Alex Gobbi, Witold Kot, Lukasz Krych, Dennis Sandris Nielsen, Ling Deng

“…Conclusion We introduce and improve a fast, simple, and efficient ligation-based single-stranded DNA library preparation for gut virome study. …”
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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…We find that the real-time object detector YOLOv8 has the best mean average precision of 96% as compared to EfficientNet, 83%, and SSD, 77%, with the ability to detect smaller defects. …”
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