Optimization of Online Moisture Prediction Model for Paddy in Low-Temperature Circulating Heat Pump Drying System with Artificial Neural Network by Yi Zuo, Abdulaziz Nuhu Jibril, Jianchun Yan, Yu Xia, Ruiqiang Liu, Kunjie Chen

“…While existing studies on drying models often rely on laboratory-scale experiments with limited data, real-time and high-frequency data collection under industrial conditions remains underexplored. …”
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Fear of Missing Out (FoMO) Scale: Adaptation to Social Media Context and Testing its Psychometric Properties by Fatih Çelik, Behçet Yalın Özkara

“…Furthermore, the path analysis was conducted to evaluate the antecedent variables of FoMO. FoMO positively predicted smartphone addiction, average daily social media usage time, and average daily social media checking frequency. …”
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Effect of lead zinc mineralization area on heavy metals accumulation and geochemical fractions of agricultural soils in Southwest China by Zhenglu Yu, Xuexian Li, Pan Wu, Zhiwei Han, Jian Zhu, Manzhi Chen, Zhuo Chen

“…The results indicated significant variability in HMs concentrations. Cr, Ni, and Cu levels were comparable to Guizhou Province’s background values, while Cd, Pb, Zn, As, and Hg exceeded these values by 0.54 to 44.98 times. …”
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Volatile Organic Compounds in Early Childhood Education Facilities: Simultaneous Indoor and Outdoor Measurements in the Haifa Bay Area by Ran Darzi, Merav Bareket, Yuval, Yael Dubowski

“…Indoor air quality (IAQ) is of great importance, as people spend up to 90% of their time indoors, leading to significant exposure to air pollutants. …”
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Prevalence and predictors of no-shows to physical therapy for musculoskeletal conditions. by Nrupen A Bhavsar, Shannon M Doerfler, Anna Giczewska, Brooke Alhanti, Adam Lutz, Charles A Thigpen, Steven Z George

“…Our model had moderate discrimination for no-shows (c-statistic:0.72, all appointments; 0.73, first 7 appointments) and was well calibrated, with predicted and observed no-shows in good agreement. Variables predicting higher no-show rates included insurance type; smoking-status; higher BMI; and more prior cancellations, time between visit and scheduling date, and between current and previous visit.…”
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Monitoring water quality parameters using multi-source data-driven machine learning models by Yubo Zhao, Mo Chen, Jinyu He, Yanping Ma

“…For the watershed, the R² values for TP, DO, and COD increased by 0.34, 0.43, and 0.42, respectively. …”
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Pre-emergent herbicides during the off-season of irrigated rice to control weedy rice and reduce the soil seed bank by Tilio Adan Lucas, Simone Puntel, Rafaella Boemo Mario, Leonardo da Silva Bolson, Arícia Ritter Corrêa, Pedro Henrique Folharini, Murilo Vieira Loro, André da Rosa Ulguim

“…The herbicides showed control values below 25% and low reduction of the seed bank in the soil, being considered ineffective in this application modality. …”
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The Variation Characteristics of Temperature and Precipitation in Mogao Grottoes of Dunhuang in Recent 30 Years by Guobin ZHANG, Wanfu WANG, Hongtao ZHAN, Fasi WU, zhengmo ZHANG, Ping XUE, Fei QIU, Wenfang HOU

“…The site of the Dunhuang Mogao Grottoes is situated in a climate zone that is characterized by a high-temperature difference and scarce precipitation.Variations in air temperature and precipitation may bring negative impacts to the supports， floors， and paints of the statues or murals， and thus the degradation and disease of the relics.It is therefore necessary to analyze the causes of mural deterioration and study the characteristics of temperature and precipitation variations in order to protect the murals.The measured air temperature and precipitation at the top of the grottoes over the past 30 years at different time scales （inter-annual， seasonal， and monthly） were analyzed， and the dry climate in the key protection area of Dunhuang Mogao Grottoes and its impact on cultural relics were also discussed.The results indicated that the average air temperature has increased significantly［0.46 °C·（10a）-1］ and that precipitation has also increased significantly［2.21 mm·（10a）-1］in the past 30 years.However， the interannual variability of precipitation was substantial， and the increase was negligible； consequently， the warming and drying trend is evident in the region.The air temperature in spring， summer， autumn， and winter all exhibited an upward trend， with respective growth rates of 0.73 °C·（10a）-1， 0.44 °C·（10a）-1， 0.32 °C·（10a）-1， and 0.26 °C·（10a）-1.The spring and summer temperature increases were primarily responsible for the temperature increase.Spring and summer precipitation increased （1.48 mm·（10a）-1 and 0.85 mm·（10a）-1， respectively）， while autumn precipitation decreased ［-0.29 mm·（10a）-1］ and winter precipitation was relatively stable.On the monthly scale， the highest values of air temperature and precipitation occurring in July and the lowest values occurring in January.Overall， the warm and arid climate of the Dunhuang Mogao Grottos is conducive to the preservation of cultural artifacts.…”
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Global Warming Has Imbalance Impact on Soil Nitrogen Transformation Rates by Di Zhao, Jie Qiu, Zhen Fan, Chaopu Ti, Zelin Huang, Xiaoyuan Yan, Yongqiu Xia

“…Our results revealed variations in Q10 values across different N transformation processes and ecosystem types, with an average of 1.96 for Nmin, 1.90 for Nnit, and 2.19 for Nde. …”
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Ground Measurements and Remote Sensing Modeling of Gross Primary Productivity and Water Use Efficiency in Almond Agroecosystems by Clara Gabaldón-Leal, Álvaro Sánchez-Virosta, Carolina Doña, José González-Piqueras, Juan Manuel Sánchez, Ramón López-Urrea

“…Maximum carbon-fixing values were observed at ET values of around 4–5 mm/d. …”
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A machine learning–based risk prediction model for atrial fibrillation in critically ill patients by Laith Alomari, MD, Yaman Jarrar, MD, Zaid Al-Fakhouri, MD, Emmanuel Otabor, MBBS, Justin Lam, MD, Jana Alomari

“…The compact model, with a satisfactory AUROC, can be a valuable tool for identifying high-risk patients and facilitating timely interventions.…”
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Spatial and temporal heterogeneity of soil respiration in a bare-soil Mediterranean olive grove by S. Aranda-Barranco, S. Aranda-Barranco, P. Serrano-Ortiz, P. Serrano-Ortiz, A. S. Kowalski, A. S. Kowalski, E. P. Sánchez-Cañete, E. P. Sánchez-Cañete

“…However, temporal and spatial variability has not been studied extensively in semi-arid systems such as olive groves. …”
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Monitoring respiratory function with telemedicine devices in asthmatic children by Katalin Kapus, Katalin Kapus, Ferenc Rárosi, Zoltán Novák, Ferenc Peták, József Tolnai

“…Bland–Altman analyses confirmed good agreement between home and clinical assessments, with narrow limits of agreement for FVC, FEV1, and Tiff, whereas PEF and FEF25–75 showed greater variability. When expressed as percentage predicted values, similar trends were observed, with FVC% showing the strongest correlation.ConclusionThe difference in peak flow indices measured at home and lung function labs in asthmatic children highlights the importance of patient education, and the reliabilities indicate the need for frequent assessments. …”
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Deep Learning Approaches for Morphological Classification of Intestinal Organoids by Giovanni Cicceri, Sebastiano Di Bella, Simone Di Franco, Giorgio Stassi, Matilde Todaro, Salvatore Vitabile

“…To date, the classification of organoids is performed manually by microscope and, therefore, in a data-driven application, is time-consuming, inaccurate, and difficult to morphological analysis process. …”
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The effect of core training on speed, agility, strength and jumping performance in 10-12 year old female badminton players by Muhammed Zahit Kahraman, Serkan Kızılca

“…No significant time × group interactions were found for sprint, leg strength, or hand grip strength variables (p > 0.05). …”
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Fuzzy Logic-Based Performance Enhancement of FSO Systems Under Adverse Weather Conditions by Hassan Yousif Ahmed, Medien Zeghid, Akhtar Nawaz Khan, Somia A. Abd El-Mottaleb

“…The computational efficiency and real-time feasibility of the FSO-FLC are also analyzed. …”
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Continuous and funnel-gate configurations of a permeable reactive barrier for reclamation of groundwater laden with tetracycline: experimental and simulation approaches by Ayad A.H. Faisal, Layla Abdulkareem Mokif, Waqed H. Hassan, Radhi AlZubaidi, Saeed Al Marri, Khalid Hashim, Mohammad Amir Khan, Osamah J. Al-sareji

“…However, in the tank test (2D), time (day) is signified as an influential parameter with a relative importance of 31.207%.…”
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The relationship between preoperative inflammatory indexes and adherent perinephric fat in laparoscopic partial nephrectomy by Çil Gökhan, Yilmaz Mehmet, Yentur Serhat, Çolakerol Aykut, Canıtez İbrahim Ogulcan

“…The APF-positive group had significantly higher C-reactive protein (CRP) levels and longer operation times (p = 0.016 and p = 0.001, respectively). Elevated MAP scores and systemic inflammatory index (SII) values were also observed in the APF-positive group (p = 0.002 and p = 0.001, respectively). …”
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Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia by Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage

“…The moisture content within pavements exhibits considerable dynamism and directly influenced by environmental factors such as precipitation, air temperature, and relative humidity. This variability underscores the importance of monitoring moisture changes using real-time climatic data to assess pavement conditions for operational management or incorporating these effects during pavement design based on historical climate data. …”
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Prevalence of Stroke and Associated Factors in a Middle-aged and Older Chinese Population: A Cross-sectional Study by Juan Guo, Qingmin Guo, Yuzhen Chen, Jinmei Zou, Hanjia Gao

“…Independent samples t-test and χ2 test were used to examine differences in associated factors between the stroke and non-stroke groups. Variables with P-values ≤0.1 in all univariate comparisons were included in the final binary logistic regression model to identify the independent factors associated with stroke. …”
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