Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks by Pramit Pandit, Atish Sagar, Bikramjeet Ghose, Moumita Paul, Ozgur Kisi, Dinesh Kumar Vishwakarma, Lamjed Mansour, Krishna Kumar Yadav

“…For the proposed model, an average improvement of RMSE (Root Mean Square Error), Relative RMSE and MAPE (Mean Absolute Percentage Error) values has been observed to be 20.04%, 19.94% and 27.80%, respectively over the other EMD variant-based counterparts and 57.66%, 48.37% and 62.37%, respectively over the other benchmark stochastic and machine learning models. …”
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Physics-Informed Learning for Predicting Transient Voltage Angles in Renewable Power Systems Under Gusty Conditions by Ruoqing Yin, Liz Varga

“…As renewable energy penetration and extreme weather events increase, accurately predicting power system behavior is essential for reducing risks and enabling timely interventions. This study presents a physics-informed learning approach to forecast transient voltage angles in power systems with integrated wind energy under gusty wind conditions. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…Validated on >1M health records, the method achieves a 0.5049 Balanced Error Rate, outperforming six baselines across 42 health categories. …”
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Effects of racemic anisodamine in combination with orthokeratology and defocus incorporated multiple segment spectacle lenses for myopia control in adolescents by Yi Deng, Jie Gao, Yu Mei, Wen-Jing Ran

“…This study provides important clinical evidence for myopia control interventions in adolescents.…”
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Prediction of SDG 6.2 Achievement in Indonesia Using Double Exponential Smoothing by Nazwa Nabila, Adhitia Erfina, Cecep Warman

“…These findings clearly highlight the importance of integrating behavioral interventions and localized strategies to effectively accelerate progress toward SDG 6.2.…”
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Innovative developments in deep brain stimulation devices by Della Torre Attilio, La Torre Domenico, Guzzi Giusy, Volpentesta Giorgio, Lavano Angelo

“…Implementing a multimodal programming strategy and incorporating cutting-edge current fractionation technology and image-guided tools for lead localization and brain sensing reduces reliance on traditional trial-and-error programming methods. This paves the way for a more predictive application of this therapy. …”
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Wastewater-based epidemiology of influenza A virus in Shenzhen: baseline values and implications for multi-pathogen surveillance by Xiuyuan Shi, Shisong Fang, Chen Du, Guixian Luo, Yanpeng Cheng, Zhen Zhang, Qiuying Lv, Xin Wang, Zhigao Chen, Bincai Wei, Ziqi Wu, Bingchan Guo, Panpan Yang, Miaomiao Luo, Weihua Wu, Liping Zhou, Ting Huang, Xuan Zou, Xiaolu Shi, Songzhe Fu, Zhanwei Du, Xinxin Han, Yinghui Li, Qinghua Hu

“…The optimized random forest model (mean absolute error = 2,307, R2 = 0.988) integrated IAV concentration, flow rate, wastewater temperature, chemical oxygen demand, total nitrogen, and phosphorus. …”
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Insights from a codesigned dynamic modelling study of child and adolescent obesity in Australia by Alison Hayes, Rebecca Wyse, Anna Lene Seidler, Kylie E Hunter, Rebecca K Golley, Louise A Baur, Anthony D Okely, Kenny Lawson, Jo-An Occhipinti, Louise Freebairn, Simon Keith Chiu, Joseph Carrello, L Kurt Kreuger

“…The model was calibrated to fit the historical prevalence of obesity (R2=0.97, mean squared error (MSE)=4.94E-04). Intervention-based scenarios were simulated to examine how changes in environmental factors and health-related behaviours may affect the prevalence of obesity. …”
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Job stress and patient safety culture: a qualitative study among hospital nurses in Palestine by Loai M. Zabin, Jamal Qaddumi, Sajed Faisal Ghawadra, Maher M. Battat

“…Factors such as teamwork, workload, staffing, communication, conflict with colleagues, lack of support, and error reporting significantly influence job stress and patient safety culture. …”
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mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study by Ranran Z Mi, Ellie Fan Yang, Alexander Tahk, Adati Tarfa, Lynne M Cotter, Linqi Lu, Sijia Yang, David H Gustafson Sr, Ryan Westergaard, Dhavan Shah

“…We also found Black participants have distinct usage patterns, suggesting the need to tailor mHealth interventions for this subgroup. ConclusionsThese findings highlight the importance of considering the intensity of system engagement, rather than initiation alone, when designing mHealth interventions for people with HIV and tailoring these systems to Black communities.…”
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Sustainability in High-Income Countries: Urbanization, Renewables, and Ecological Footprints by Fayaz Hussain Tunio, Agha Amad Nabi, Rafique Ur Rehman Memon, Tayyab Raza Fraz, Daniela Haluza

“…Using linear Bayesian regression and the Vector Error Correction Model (VECM), the analysis examined short- and long-term impacts to uncover nuanced relationships. …”
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Nexus between energy efficiency, green investment, urbanization and environmental quality: Evidence from MENA region. by Chen Gang, He Sha, Md Qamruzzaman

“…A comprehensive set of econometric tools has been employed to achieve this goal, including the CADF and CIPS panel unit root tests, error correction-based panel cointegration analysis, Cross-sectional ARDL, and asymmetric ARDL models. …”
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Development and psychometric evaluation of the artificial intelligence attitude scale for nurses by Tuğba Öztürk Yıldırım, Mesut Karaman

“…Abstract Background Since artificial intelligence is transforming healthcare, targeted interventions aimed at optimizing its integration and use in clinical settings requires the assessment of nurses’ attitudes towards AI. …”
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Psychological Resilience of Frontline Healthcare Workers in India: A Mixed-Methods Exploratory Study during COVID-19 Pandemic in India by Prabhkeerat Kaur Dhillon, Shankar Das

“…Results: The mean Brief Resilience Scale (BRS), indicative of the workforce’s psychological resilience, was 3.257 with a standard error of 0.07 (Max: 4.66 and Min: 1). The median score was 3.33. …”
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CNReader: a reading practice tool designed for Chinese children with developmental dyslexia by Lijuan Liu, Tuo Fang, Enmao Liu, Shang Shi, Shuo Zhai, Yang Chen, Lingyan Zhang, Yan Shi, Cheng Yao

“…Results demonstrated that CNReader significantly reduced reading error rates, enhanced reading fluency, and improved comprehension. …”
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Impact of tourism, globalization, and technological patents on ecological footprint in ASEAN countries: static and dynamic panel regression approaches by Nazhat Nury Aspy, Liton Chandra Voumik, Miguel Angel Esquivias, Lilik Sugiharti, Mihir Kumar Das, Dulal Chandra Pattak

“…Focusing on eight ASEAN nations (Brunei, Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) for the period between 1990 and 2020, this study employs Driscoll Kraay Standard Error (DKSE) and Quantile Regression methodologies to examine this phenomenon comprehensively. …”
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Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM. by Judita Rudokaite, Sharon Ong, Itir Onal Ertugrul, Mart P Janssen, Elisabeth Huis In 't Veld

“…The results showed that during the classification task, the highest achieved F1 score on high VVR class was 0.74 with a precision of 0.93, recall of 0.61, PR-AUC of 0.86 and an MCC score of 0.61 using a pre-trained ResNet152 model with LSTM on 25 frames and during the regression task the lowest root mean square error achieved was 2.56 using GRU on 50 frames. This study demonstrates that it is possible to predict vasovagal responses during a blood donation using facial features, which supports the further development of interventions to prevent VVR.…”
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GENERATIVE APPROACHES TO BEHDINI-KURDISH STUDENTS' ACQUISITION OF ENGLISH PASSIVIZATION by Shivan Toma

“…Practical results show that explicit instruction and increased exposure to passive constructions in English significantly improve learners' proficiency. In addition, error analysis reveals common problems with verb forms and agent placement, necessitating focused educational interventions. …”
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AI in relationship counselling: Evaluating ChatGPT's therapeutic capabilities in providing relationship advice by Laura M. Vowels, Rachel R.R. Francois-Walcott, Joëlle Darwiche

“…We evaluated the performance of ChatGPT comprising of technical outcomes such as error rate and linguistic accuracy and therapeutic quality such as empathy and therapeutic questioning. …”
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Reliability and Accuracy of Ultrasonographic Muscle Thickness Measurements: Evaluating Key Postural Stabilisers in Rehabilitation by Arkadiusz Żurawski, Natalia Barańska, Aleksandra Tomala, Edyta Majorczyk, Joanna Macierzyńska

“…The transversus abdominis demonstrated the highest measurement precision, with the lowest Standard Error of Measurement (SEM = 0.79-1.05 mm) and Minimal Detectable Change (MDC = 2.19-2.91 mm). …”
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