Predictive factors of patient length of stay with multiloculated pleural effusion after medical thoracoscopy: single-center retrospective cohort study by Wiwien Heru Wiyono, Mohamad Fahmi Alatas, Andika Chandra Putra, Erlina Burhan, Amirah Nisrina, Elvan Wiyarta, Gita Fajri Gustya, Muhammad Ilham Dhiya Rakasiwi, Adlina Briliani

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SHAP-enhanced interpretive MGTWR-CNN-BILSTM-AM framework for predicting surface subsidence: a case study of Shanghai municipality by Long Wen-Jiang, Yu Xue-Xiang, Zhu Ming-Fei, Xue Li, Zhang Guang-Hui, Wang Lin-Lin

“…The integrated CNN-BiLSTM-AM (CBA) deep learning network extracts critical time-series features to optimize spatiotemporal weights adaptively. …”
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Composition, seasonal and interannual dynamics of zooplankton in Peter the Great Bay (Japan Sea) by Natalia T. Dolganova, Victoria V. Nadtochy

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Perceptual Response Training for Reduction of Injury Risk Among High School Girls’ Soccer Players by Gary B. Wilkerson, Kyle S. Mether, Zoë A. Perrin, Samuel L. Emberton, Lynette M. Carlson, Jennifer A. Hogg, Shellie N. Acocello

“…<b>Methods:</b> The median value of a metric quantifying both the speed and accuracy (i.e., the rate correct per second of response time) of 50 high school female soccer players was used to assign those who exhibited suboptimal performance to a training program. …”
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Joint modeling of predictors of adverse drug reactions and viral load changes over time among adult patients on ART at Nigist Eleni Mohammed Memorial comprehensive specialized hosp... by Mesfin Menza Jaldo, Awoke Abraham, Bereket Aberham Lajore, Hamdi Fekredin Zakaria, Tagese Yakob

“…The ART regimen (AZT/3TC/NVP) (AHR = 2.15: 95% CI: 1.01–4.57), TB co-infection (AHR = 0.79: 95% CI: 0.68–0.87) and ART duration (AHR = 0.96: 95% CI: 0.95–0.97) were significant predictors of ADRs. The time-dependent true value of the viral load log was significantly associated with the risk of adverse drug reaction (α = 1.67: AHR = 5.31: 95% CI: 1.64–7.23). …”
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Forecasting and Evaluation of Non-Performing Loans in the Turkish Banking Sector by Hazar Altınbaş, Gülay Selvi Hanişoğlu

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Predicting Nike Company Stock Price in Stock Market Using NARX Artificial Neural Network Method by Vajiheh Javani, Saeid Ahmadi Bonabi, Malihe Ashena

“…The price data was gathered from NYSE in a certain time period, and other variables such as Volume, Crude Oil Prices Brent – Europe, Effective Federal Funds Rate, Gold Fixing Price, etc. those who are recognized as influential variables on stock price, are gathered from The World Bank data source. …”
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Phonetic imitation by young L2 learners: English VOTs for speakers of Polish by Wieczorek Błażej, Rojczyk Arkadiusz

“…Noticeable variability in the data may have masked the true impact of imitative exposure.…”
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Pediatric Sjögren’s Syndrome: Focus on Ocular Involvement and Diagnostic Challenges by Emanuela Del Giudice, Maria Carmela Saturno, Maria Grazia Fiorino, Danilo Iannetta, Luca Spadea, Vanessa Martucci, Alessia Marcellino, Mariateresa Sanseviero, Angela Mauro, Sandra Cinzia Carlesimo, Nicola Nante, Giovanni Guarducci, Leopoldo Spadea, Riccardo Lubrano, Maria Pia Paroli

“…<i>Results</i>: Tear break-up time values consistently indicated tear film instability (mean RE 7.4 ± 2.5 s; LE 7.7 ± 2.3 s), while Schirmer’s test showed greater variability. …”
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Variations over 20 Years in Vegetation Dynamics and Its Coupled Responses to Individual and Compound Meteorological Drivers in Sichuan Province, China by Qian Deng, Chenfeng Zhang, Jiong Dong, Yanchun Li, Yunyun Li, Yi Huang, Hongxue Zhang, Jingjing Fan

“…The Standardized Precipitation Evapotranspiration Index (SPEI) was calculated using monthly precipitation and temperature data from 45 meteorological stations to examine the influence of composite climatic factors on vegetation growth, while the time lag effects between the NDVI and various climatic variables were also explored. …”
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A dataset on potentially groundwater-dependent vegetation in the Sierra Nevada Protected Area (Southern Spain) and its underlying NDVI-derived ecohydrological attributesZENODO by Javier Cabello, Montserrat Escudero-Clares, Sergio Martos-Rosillo, J. Jesús Casas, Juanma Cintas, Thomas Zakaluk, María J. Salinas-Bonillo

“…Monthly NDVI values were used to extract three ecohydrological indicators: dry-season NDVI, dry–wet seasonal NDVI difference, and interannual NDVI variability. …”
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Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling by Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano

“…The study shows that (i) the statistical downscaling successfully represents mean values and extremes of temperature and precipitation; (ii) its performance remains satisfactory regardless of the number of years used as training; (iii) the shorter is the time window considered for the training, the higher is the sensitivity to changes in the time interval due to the inter-annual variability. …”
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How to assess water quality change in temperate headwater catchments of western Europe under climate change: examples and perspectives by Gascuel-Odoux, Chantal, Fovet, Ophélie, Faucheux, Mikaël, Salmon-Monviola, Jordy, Strohmenger, Laurent

“…We present examples of these effects using a retrospective analysis across European catchments according to three objectives: (i) identification of extreme or anomalous values in climatic and chemical variables at multiple time scales, (ii) assessment of variability in seasonal and inter-annual chemical cycles, and (iii) identification of a general water chemistry response to the North Atlantic Oscillation. …”
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Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics by Lyazat Naizabayeva, Saberikamarposhti Morteza, Nurgul Seilova

“…This study presents a comprehensive quantitative analysis of the interplay between meteorological variables and soil conditions over the period 2018&#x2013;2023 in the Almaty region. …”
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Cardiac Autonomic Modulation and Cognitive Performance in Community-Dwelling Older Adults: A Preliminary Study by Paula Andreatta Maduro, Luiz Alcides Ramires Maduro, Polyana Evangelista Lima, Ana Clara Castro Silva, Rita de Cássia Montenegro da Silva, Alaine Souza Lima Rocha, Maria Jacqueline Silva Ribeiro, Juliana Magalhães Duarte Matoso, Bruno Bavaresco Gambassi, Paulo Adriano Schwingel

“…Participants were classified as without cognitive impairment (WCI) or cognitively impaired and not demented (CIND) based on neuropsychological assessments. Heart rate variability (HRV) was measured at rest, focusing on the time-domain parameters (SDNN, rMSSD, and pNN50). …”
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Índice de área foliar e produtividade do tomate sob condições de ambiente protegido Leaf area index and productivity of tomatoes under greenhouse conditions by Ligia S. Reis, Carlos A. V. de Azevedo, Abel W. Albuquerque, Josué F. S. Junior

“…It was verified that it is possible to determine, in the greenhouse, through mathematical models, the leaf area index of the tomato crop considering the days after the transplanting. Basing on values of leaf area index, the productivity of the crop and the period of the maximum productivity can be determined, aiding the farmers to determine the best sowing and transplanting time of the tomato crop.…”
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Calidad de vida de la población geriátrica de El Oro, Ecuador, en tiempo de pandemia (Quality of life of the geriatric population of El Oro, Ecuador, in times of pandemic) by Ana María Iraizoz Barrios, Viviana García Mir, Germán Brito Sosa, Gisela de los Ángeles León García, Raquel Magali Jaramillo Simbaña, Jovanny Angelina Santos Luna

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Optimizing operating room efficiency in robotic‐assisted total knee arthroplasty through manufacturing efficiency principles by Akito Hiraoka, Bart Swinnen, Aline Vandeputte, Willem Franssen, Geert Leirs

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An Investigation of Extended-Dimension Embedded CKF-SLAM Based on the Akaike Information Criterion by Hanghang Xu, Yijin Chen, Wenhui Song, Lianchao Wang

“…Simultaneous localization and mapping (SLAM) faces significant challenges due to high computational costs, low accuracy, and instability, which are particularly problematic because SLAM systems often operate in real-time environments where timely and precise state estimation is crucial. …”
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Identifying Factors Affecting Self-Development of Iranian TV School Teachers: Report of A Qualitative Study by abbas mohammadi, maede arshadrad

“…Then the text of the interviews was read several times by the researcher to get to know him completely, and the least error would occur in the coding. …”
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