Characterization of Key Phytoconstituents in <i>Nigella</i> Oil from Diverse Sources and Their Transfer Efficiency During Oil Processing by Parbat Raj Thani, Joel B. Johnson, Surya Bhattarai, Tieneke Trotter, Kerry Walsh, Daniel Broszczak, Mani Naiker

“…There was no strong correlation observed among TPC, FRAP, CUPRAC, and TQ, and none of the fatty acids showed a strong correlation with these variables.…”
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Study of the effect of food on the bioavailability, safety and tolerability of Aterixen^® 100 mg tablet in healthy volunteers by V. B. Vasilyuk, Yu. A. Dzhurko, A. A. Globenko, L. N. Schitov, V. N. Shabrov, M. A. Pasko, O. V. Kovchan, A. V. Kapashin, A. I. Bashkatova

“…Confidence intervals for the ratio of the geometric means for the primary parameters (AUC(0-t) and Cmax) of XC221GI and AUC(0-∞) were within the 80-125 % acceptance interval, while a small in absolute value, but statistically significant differences were noted in time until Cmax is reached. …”
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SPECIFICS OF ARTERIAL HYPERTENSION DEVELOPMENT IN PENITENTIARY STRESS CIRCUMSTANCES by E. V. Dyuzheva, S. B. Ponomarev

“…Also, heart rhythm variability analysis shows significant decrease of value of LF (%) and predomination of VLF (%) in the wave spectrum. …”
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Anisotropic flexible stress sensors based on Loofah/CN/MWCNTs by 刘璐, 贾晓丽, 黄书童, 张景龙, 李守宝, 柯燎亮

“…To investigate the effects of MWCNTs concentration, CN concentration, and impregnation times on the electrical conductivity of the sensor, an L9(3³) orthogonal experiment was designed with these three factors as variables. …”
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Dynamic survival prediction of end-stage kidney disease using random survival forests for competing risk analysis by Daniel Christiadi, Daniel Christiadi, Daniel Christiadi, Kevin Chai, Aaron Chuah, Bronwyn Loong, Thomas D. Andrews, Aron Chakera, Giles Desmond Walters, Giles Desmond Walters, Giles Desmond Walters, Simon Hee-Tang Jiang, Simon Hee-Tang Jiang, Simon Hee-Tang Jiang

“…The predicted cumulative incidence function (CIF) values were used to generate a personalized dynamic prediction plot.ResultsThe model was developed using baseline demographics and 13 longitudinal clinicopathological variables from 4,950 patients. …”
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Volatile Element Depletion of Carbonaceous Chondrites—Insights from Mass-dependent Zinc, Cadmium, and Tellurium Isotope Variations by Elin M. Morton, Harvey Pickard, Frank Wombacher, Yihang Huang, Emeliana Palk, Rayssa Martins, Sven Kuthning, Maria Schönbächler, Mark Rehkämper

“…In contrast, Cd and Te isotope compositions and concentrations are highly variable in CV and CO (Cd) and CK chondrites (Te). …”
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Emergence of anthropogenic precipitation changes in a future warmer climate by Shoji Kusunoki, Ryo Mizuta, Masahiro Hosaka

“…A total of 10,000 randomized time series representing the time evolution of decadal natural variability enabled us to directly evaluate estimated frequency distributions (EDFs) on a grid point basis. …”
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CONSUMER DYNAMICS FOR POULTRY PURCHASING BEHAVIOUR IN TURKEY by Gulay OZKAN, Simge ER, Ismail Bulent GURBUZ

“…Crosstables were used to verify possible associations among the study variables. Consumers mostly purchased chicken once a week (36.5%) and turkey on special occasions (17.7%) and 1-3 times a year (12.2%). …”
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TECHNICAL EFFICIENCY OF POULTRY ENTERPRENEURS IN ABIA STATE: A STOCHASTIC FRONTIER APPROACH by Obasi Oscar IGWE, Daniel Chinedu NWAOGU, Franca ONYEGBULE

“…Multi-stage sampling technique was adopted in selecting 180 poultry farmers. An estimated gamma value (γ) of 42.11% was highly significant at 1% level of probability implying that 42.11% of random variation in the output of the poultry entrepreneurs was due to the inefficiency in their respective farms and not as a result of random variability. …”
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Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…Case studies demonstrate the practical value of these approaches. Despite recent advances, challenges persist in data interoperability, real-time optimization complexity, scalability, and forecasting uncertainty. …”
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Diurnal variations of the basic physico-chemical characteristics of a small urban river – the Sokołówka in Łódź – a case study by Adam Bartnik, Przemysław Tomalski

“…The variability coefficients of discharge and conductivity increase with the increase in the values thereof. …”
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study by Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

“…We assessed multiple prediction time windows (ie, 0, 1, 3, and 5 y) and ensured robustness through propensity score matching to account for confounding variables including sex, race, ethnicity, and birth year. …”
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Armed conflict and maternal health service utilization in Ethiopia’s Tigray Region: a community-based survey by Mache Tsadik, Hale Teka, Mengistu Welday Gebremichael, Hailay Gebretnsae, Awol Yemane, Girmatsion Fisseha, Tesfay Gebregzabher, Gerezgiher Buruh, Fana Gebresellasie, Mulu Tekie, Gebretsadik Kiros, Mahlet Mehari, Bisrat Tewelde, Yibrah Alemayehu, Fisaha Haile Tesfay, Hagos Godefay

“…A Chi-square test was used for categorical variables and a P-value of 0.05 was considered significant. . …”
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Numerical study of coupled heat transfer between primary and secondary sides of helical coiled tube steam generator for liquid metal fast reactor by LIU Jialun, NING Liang, LIN Jinpeng, XIN Jie, LI Min, LI Huixiong

“…Meanwhile, the relative deviation of the heat flux distribution along the heat flux is 3~4 times larger than the corresponding value of water reactor. …”
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Multi-cancer early detection tests for general population screening: a systematic literature review by Ros Wade, Sarah Nevitt, Yiwen Liu, Melissa Harden, Claire Khouja, Gary Raine, Rachel Churchill, Sofia Dias

“…Outcomes of interest were test accuracy (including sensitivity, specificity, positive and negative predictive values), number and proportion of cancers detected (by site and stage), mortality, time to diagnostic resolution, incidental findings, additional tests and procedures, potential harms, HRQoL, acceptability and satisfaction. …”
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A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network by Kok Poh Wai, Chai Hoon Koo, Yuk Feng Huang, Woon Chan Chong, Ahmed El-Shafie, Mohsen Sherif, Ali Najah Ahmed

“…Study focus: This study presents a multi-step ahead water quality index (WQI) forecasting framework in Klang River to address persistent challenges such as missing data and seasonally variable hydrological patterns. A hybrid deep learning architecture was developed by combining a 1d-Convolutional Neural Network (CNN) with a dual-path Long Short-Term Memory (LSTM) network to capture long-term hydrological memory and site-specific temporal variability. …”
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Potassium Isotope Evidence for Origin of Archean TTG Rocks From Seawater‐Hydrothermally Altered Oceanic Crust by D.‐Y. Xiong, X.‐L. Wang, W. Li, Y.‐F. Zheng, C. R. Anhaeusser, A. Hofmann, D. Wang, J.‐Y. Li

“…The results show for the first time a substantial δ41K variation from −0.69 ± 0.07‰ to −0.32 ± 0.05‰ (2SD) for the Paleoarchean mafic rocks, exceeding the present mantle δ41K range from −0.6 to −0.3‰. …”
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Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. by Felipe J Colón-González, Leonardo Soares Bastos, Barbara Hofmann, Alison Hopkin, Quillon Harpham, Tom Crocker, Rosanna Amato, Iacopo Ferrario, Francesca Moschini, Samuel James, Sajni Malde, Eleanor Ainscoe, Vu Sinh Nam, Dang Quang Tan, Nguyen Duc Khoa, Mark Harrison, Gina Tsarouchi, Darren Lumbroso, Oliver J Brady, Rachel Lowe

“…<h4>Conclusions</h4>This study shows that by combining detailed Earth observation data, seasonal climate forecasts, and state-of-the-art models, dengue outbreaks can be predicted across a broad range of settings, with enough lead time to meaningfully inform dengue control. While our system omits some important variables not currently available at a subnational scale, the majority of past outbreaks could be predicted up to 3 months ahead. …”
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Tuning the physical properties of ternary alloys (NiCuCo) for in vitro magnetic hyperthermia: experimental and theoretical investigation by O. M. Lemine, Noura Al-Dosari, Saja Algessair, Nawal Madkhali, Moustapha Elansary, Chouaïb Ahmani Ferdi, Marzook S Alshammari, Rizwan Ali, Ali Z. Alanzi, Mohammed Belaiche, Kheireddine El-Boubbou

“…Heating effciencies were performed under an alternating magnetic field (AMF, H0 = 170 Oe and f = 332.5 kHz), and specific absorption rate (SAR) values were determined. The highest magnetic saturation (Ms), heating potentials, and SAR values were attained for Ni35Cu30Co35 containing the lowest Cu but highest Ni and Co percentages, and the least for Ni15Cu70Co15. …”
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

“…Significant predictors included 4 strengths (higher trait mindfulness, lower SAD severity, presence of university education, no current psychotropic medication use), 2 weaknesses (higher generalized anxiety severity and clinician-diagnosed depression or anxiety disorder), and 1 sociodemographic variable (Chinese ethnicity). Emotion dysregulation and current psychotherapy predicted remission with inconsistent signs across time points. …”
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