Mental health impacts of particulate matter exposure and non-optimal temperature among rural and urban children in eastern China by Yangyang Wu, Jing Wei, Biran Cheng, Hong Sun, Yidong Zhou, Chen Li, Peng Wang, Hao Zhang, Yiyi Wang, Lei Huang, Kai Chen

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CALL FOR PAPERSFOR THE SPECIAL ISSUE OF Zeszyty Teoretyczne Rachunkowości (ZTR – The Theoretical Journal of Accounting) in 2026

“…MotivationRecent academic discourse has emphasized accounting as a technical, social, and moral practice that is committed to sustainable resource utilization and stakeholder accountability (Carnegie et al., 2021). …”
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Pharmacological potential of 3,5-dimethyl-4-(3-(5-nitrofuran-2-yl)allylidenamino)-1-alkyl-1,2,4-triazolium bromides by A. S. Hotsulia, O. I. Panasenko, T. S. Brytanova

“…The synergistic combination of these characteristics provides favorable conditions for the development of complex therapeutic effects, ultimately leading to the creation of novel biologically active substances and offering new avenues for the effective treatment of various diseases. Indeed, the utilization of a diverse array of chemical transformations and functionalizations is crucial for obtaining bioactive molecules with desired properties. …”
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Isolation and Identification of Alkaloid Genes from the Biomass of <i>Fritillaria taipaiensis</i> P.Y. Li by Nong Zhou, Chun-Mei Mei, Fu-Gui Chen, Yu-Wei Zhao, Ming-Guo Ma, Wei-Dong Li

“…Li is a valuable traditional Chinese medicinal herb that utilizes bulbs as medicine, which contain multiple alkaloids. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the GIoU loss function is introduced to replace the traditional IoU, further optimizing bounding box regression through the calculation of the minimum enclosing box. …”
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TOP: A Combined Logical and Physical Obfuscation Method for Securing Networks-on-Chip Against Reverse Engineering Attacks by Mona Hashemi, Siamak Mohammadi, Trevor E. Carlson

“…First, our centralized approach combines power-gating and structure obfuscation, ensuring efficiency and scalability to corrupt the function and traffic pattern of the network when an incorrect key is presented. …”
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Ecological Dynamics of Forest Stands with <i>Castanopsis argentea</i> (Blume) A.DC. in a Mountain Ecosystem: Vegetation Structure, Diversity, and Carbon Stock Under Tourism Pressur... by Reny Sawitri, Nur Muhammad Heriyanto, I Wayan Susi Dharmawan, Rozza Tri Kwatrina, Hendra Gunawan, Raden Garsetiasih, Mariana Takandjandji, Anita Rianti, Vivin Silvaliandra Sihombing, Nina Mindawati, Pratiwi, Titi Kalima, Fenky Marsandi, Marfuah Wardani, Denny, Dodo

“…Its population is limited, and as a valuable biological resource, <i>Castanopsis</i> has traditionally been utilized by indigenous communities, particularly those residing in proximity to the forest. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…The AMA employs both quantitative and qualitative methods for operational risk modeling, leveraging databases to collect statistical data and utilizing the loss distribution approach (LDA) to model frequency and severity distributions. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…The global market's increasing demand, diverse resource supply options, global competition, and environmental protection needs are driving organizations to adopt sustainable strategies. …”
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Artistic Documentary in the Context of Cultural Dialogue and the Expression of a New Nature of Historical Self-knowledge by S.R. Gevorgyan, V.S. Karapetyan, M.M. Ispiryan, A.V. Galstyan, A.G. Marianna, Ye.Zh. Mnatsakanyan, S.A. Margaryan

“…The study employs comparative and contrast methods to examine human-nature relationships, utilizing linguistic hermeneutics to analyze literary works and their original sources. …”
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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

“…Abstract Thyroid disease classification is a critical challenge in medical diagnostics, requiring accurate differentiation between hyperthyroidism, hypothyroidism, and normal thyroid function. This study introduces an advanced machine learning approach that integrates generative adversarial networks (GANs) for data augmentation and Kolmogorov-Arnold networks (KANs) for classification. …”
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Characterizing the magnetic noise power spectrum of dark spins in diamond by Ethan Q Williams, Chandrasekhar Ramanathan

“…We develop techniques utilizing harmonics of the CPMG filter function to improve characterization of high-frequency signals, which we demonstrate on the ^13 C nuclear Larmor frequency. …”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…Clinical and economic outcomes were assessed as a function of varying AMR levels of three Gram-negative pathogens in Japan by up to 100% of the current level…”
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Metallography Specimen Mounting Device Suitable for Industrial or Educational Purposes by Alfredo Márquez-Herrera

“…The device is designed to produce high-quality polymer encapsulated samples that rival those obtained from commercial equipment ($5000–$10,000 USD). Utilizing the House of Quality (HoQ) framework within Quality Function Deployment (QFD), the device prioritizes critical customer requirements, including safety (validated via finite element method, FEM), affordability, and compatibility with standard hydraulic presses. …”
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Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning by Yufei Miao, Wenkang Liu, Sarah Mohammed Saeed Alsallameh, Norah A. Albekairi, Ziyad Tariq Muhseen, Christopher J. Butch

“…This study establishes a groundwork for comprehending the function of the anti-malaria action of C. myxa.…”
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A multi-omics Mendelian randomization identifies putatively causal genes and DNA methylation sites for asthma by Jia Wang, MD, Jinxin Hu, MS, Dan Qin, MD, Dan Han, MD, Jiapeng Hu, MD

“…Employing Summary Data-based Mendelian Randomization (SMR) and Two-Sample Mendelian Randomization (TSMR), we pinpointed asthma causal genes, causal DNA methylation sites, and methylation sites affecting gene expression, cross validated with at least 2 large-scale GWAS from each source. We utilized colocalization for genetic associations, meta-analysis for data integration, two-step MR for methylation-gene-asthma mediation mechanism. …”
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How does soil carbon sequestration affect greenhouse gas emissions from a sheep farming system? Results of an life cycle assessment case study by Pasquale Arca, Enrico Vagnoni, Pierpaolo Duce, Antonello Franca

“… • Extensification of dairy sheep systems determines lower environmental impact per hectare of utilized agricultural area. • Enteric methane emissions are the main source of GHG emissions of the sheep milk life cycle…”
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Machine learning-based model for CD4+ conventional T cell genes to predict survival and immune responses in colorectal cancer by Zijing Wang, Zhanyuan Sun, Hengyi Lv, Wenjun Wu, Hai Li, Tao Jiang

“…In this investigation, transcriptomic and clinical data were sourced from TCGA and GEO. Initially, we pinpointed CD4TGs using single-cell datasets. …”
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Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability by Tawfeeq Shawly, Ahmed A. Alsheikhy

“…The model underwent training, validation, and testing with three publicly accessible EEG datasets sourced from PhysioNet and ResearchGate, thereby ensuring strong generalization across various datasets. …”
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Development and Analysis of a Non-Resonant Wide-Band Tri-Axial Electromagnetic Energy Harvester by Hamid Khan, Farid Ullah Khan

“…Furthermore, the harvester&#x2019;s simple architecture allows the harvester to seamlessly integrate with vibration source equipment, thus easily converting the real tri-axial excitation into electrical power. …”
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