Sustainability of regional Antarctic ice sheets under late Eocene seasonal atmospheric conditions by D. H. A. Vermeulen, M. L. J. Baatsen, A. S. von der Heydt

“…The climatic conditions prevailing during (and leading up to) the EOT can be characterised as extremely seasonal and monsoon-like, featuring a short yet intense summer period and contrasting cold winters. …”
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Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management by Liwen Chen, Boting Hu, Jingxuan Sun, Y. Jun Xu, Guangxin Zhang, Hongbo Ma, Jingquan Ren

“…Secondly, leveraging the Extreme Gradient Boosting (XGBoost) model along with reanalysis and in-situ measurements, we estimate soil moisture information across depths of 0–100 cm depth by 10 cm interval over large geographical extents. …”
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Agricultural land use conflict identification and land degradation risk analysis from the perspective of spatial matching in the Ili River Valley by DONG Guanglong, WANG Jue, WANG Han, CHENG Weiya, LIU Zheng, ZHANG Wenxin

“…The moderately sensitive, highly sensitive, and extremely sensitive areas were 3811.25, 3692.74, and 2683.44 km², respectively, which are mainly distributed in the northern part of Khorgos City, the southern part of Zhaosu County, and the northern part of Nilek County. (4) The high land degradation risk area covered 4200.92 km², accounting for 20.95% of the agricultural land use conflict area and 7.63% of the Ili River Valley, mainly distributed in the north, middle, and south Tianshan Mountains with rugged terrain and harsh natural environment making it suitable for woodland or mixed forest and grass. …”
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ŽINOJIMO SOCIALUMO PROBLEMA ŠIUOLAIKINĖJE SOCIALINĖJE EPISTEMOLOGIJOJE: DU POŽIŪRIAI by Audronė Rimkutė

“…So contemporary social epistemology vacillates meantime between two extremities: the individualistic concept of knowledge, which doesn’t help to solve the problems of collective knowledge production, and sociologistic one, which reduces knowledge seeking to social actions and therefore can’t provide base for the adequate knowledge and science policy. …”
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RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution by Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan

“…However, cysts on pathological sections often present with irregular and complex morphology, as well as extremely similar to surrounding tissue, which poses a great challenge in achieving their accurate segmentation. …”
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Silver-based plasmonic nanoparticles for biosensor organophosphate pesticides using a single film containing acetylcholinesterase/choline oxidase by D. Hermanto, N. Ismillayli, H. Muliasari, R. Wirawan, S.R. Kamali

“…Hydrogen peroxide reacts with the silver nanoparticles, and the discoloration of the brown solution occurs due to the oxidation of silver+.FINDINGS: As a biosensor indicator, silver nanoparticles were extremely accurate, sensitive, and stable over a long period of storage. …”
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The effect of dual-task training in older adults with total hip arthroplasty: a randomized controlled trial by İsmail Uysal, Fatih Özden, Mustafa Yalçın, Emir İbrahim Işık, Zübeyir Sarı

“…Visual Analog Scale (VAS), Harris Hip Score (HHS), Mini-Mental Status Examination (MMSE), Dual Task Questionnaire (DTQ), Cognitive Timed Up and Go Test (cTUG), Lower Extremity Motor Coordination Test (LEMOCOT), 4 m Walking Speed (4MWS), Five Times Sit to Stand Test (FTSST), Activity Specific Balance Confidence Scale (ABC) were used to assess the patients after the sixth week of the surgery and after the two months of the initial assessment. …”
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TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images by Kyoung Yoon Lim, Jae Eun Ko, Yoo Na Hwang, Sang Goo Lee, Sung Min Kim

“…Consequently, it would be extremely useful to develop a deep learning-based automatic liver vessel segmentation method. …”
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A conceptual model for advanced/metastatic gastric or gastroesophageal junction cancer: a review of qualitative studies and results from patient interviews by France Ginchereau Sowell, Thom de Milliano, Keri J. S. Brady, Ginamarie Foglia, Medha Sasane, Samira Bensfia, Matthew Reaney

“…The 12 most important symptoms (mentioned by ≥ 50% of patients; average disturbance ratings: ≥5, scale: 0 'not disturbing' to 10 'extremely disturbing') were: nausea, fatigue, temperature sensitivity, indigestion, weakness, diarrhea, vomiting, early satiety, swallowing difficulties, taste alterations, abdominal pain, general pain. …”
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Heatstroke characteristics and meteorological conditions in Hefei, China: thresholds and driving factors by Xueliang Deng, Liang Zhao, Changchun Xiao, Rui Dai, Qianqian Xu, Yeqing Yao, Caimeng Liang, Lei Yao, Dongyan He

“…The reduced physical fitness of elderly people raised the risk of heatstroke more than other age groups in extremely high temperatures. Conclusions A meteorological threshold system had been established to forecast heatstroke occurrence in a short-term time, and a key climate driving factor of heatstroke was found for long-term heatstroke prediction in Hefei. …”
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Association of ultra-processed food-related metabolites with selected biochemical markers in the UK Biobank by Anthony Kityo, Byeonggeun Choi, Jung-Eun Lee, Chulho Kim, Sang-Ah Lee

“…Acetoacetate, acetone, high-density lipoprotein (HDL) diameter, docosahexaenoic acid, linoleic acid, ω-3 fatty acids (FA), total lipids in large HDL cholesterol, and valine levels were decreased, but free cholesterol in extremely small very low-density lipoproteins (LDL), glutamine, glycine, glycoprotein acetyls, lactate, saturated FA, sphingomyelins, triglycerides in large LDL, and triglycerides in medium HDL levels were increased with high UPF intake. …”
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Un port rural antique de fond d’estuaire à Blainville-sur-Orne (Calvados) by Cécile Allinne

“…These infrastructures, notwithstanding their individual modesty, taken as a whole, nevertheless contributed to an extremely dynamic river economy. This last reflection leads us to speculate on the network function of comparable settlements in Blainville-sur-Orne, as well as on the different categories of rural ports that are thought to have existed in Roman times, for example those associated with villae, hamlets, rural settlements, or production sites.…”
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The predicted value for venous thromboembolism based on a modified model of caprini combined with fasting blood glucose and D-dimer: a retrospective study by Ping Wang, Yusi Yang, Lin Zheng, Xiaotong Qi, Sheng Yan, Honglin Dong

“…Abstract Background The Caprini risk assessment model (RAM) is a classical score that evaluates the risk of developing venous thromboembolism (VTE) aimed at patients with lower extremity fractures (LEF). However, the influencing factors of RAM pay more attention to clinical characteristic variables and recognized thrombophilia markers such as prothrombin, while ignoring the influence of other laboratory indicators on thrombosis. …”
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Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence by Jinjin Rong, Xu Ji, Xin Fang, Moon-Hwan Jee

“…While the world’s governments manage the aging population next years, these ideas will become extremely vital. They will almost certainly encounter economic and political demands to modify state medical care management, retirement benefits, and social security in order to meet the needs of an aging population. …”
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The effect of silymarin on ischemia-reperfusion injury in skeletal muscles of rats by Abdullah Ozer, Basak Kocak, Mustafa Arslan, Baris Mardin, Aysegul Kucuk, Saban Cem Sezen, Mustafa Hakan Zor, Mustafa Kavutcu

“…For this purpose, we planned to see the effect of silymarin on muscle tissue in rats subjected to lower extremity I/R injury. Material and Methods: We used 18 male Wistar albino rats weighing 225-275 g. …”
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Perception and adaptation to climate change in vulnerable regions by A. Jiménez Bedoya, F. Fuentes Gandara, R. Paternina Uribe, J. Pinedo Hernández

“…The objective of this study was to evaluate the perception of different focus population groups such as fishermen, farmers and ranchers on climate change, regional adaptation strategies and implementation of public policies in the La Mojana Region of Northern Colombia, which is highly vulnerable to extreme climate phenomena. The dynamics of national and global scientific production were evaluated through bibliometric analysis of perception and adaptation policies to climate change.METHODS: Primary data was collected through semi-structured questionnaire interviews involving 420 participants from the fishing, agriculture, and livestock sectors to understand their perceptions of climate change risks and the adaptation strategies they have adopted. …”
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Antimicrobial and antioxidant study of combined essential oils of Anethum Sowa Kurz. and Trachyspermum ammi (L.) along with quality determination, comparative histo-anatomical feat... by S.A. Wasim Akram, Mary Shamya Arokiarajan, J. John Christopher, Mohammad Jameel, Mohd Saquib, Tirumala Santosh Kumar Saripally, Noman Anwar, Mohd Asif, Kabiruddin Ahmed K

“…The antioxidant study of (EOs 1 + 2) with maximum inhibition percentage to DPPH assay was 84.02 ± 1.05 at 100 µg/mL, and minimal inhibition was 72.31 ± 0.63 at 5 µg/mL with IC50 value 4.69 ± 0.22 µg/mL, while ABTS assay extreme was 79.15 ± 2.14 µg/mL and minimal was 67 ± 1.34 with the IC50 value of 18.37 ± 0.15 µg/mL, in superoxide assay uppermost inhibition was 81.03 ± 0.27 µg/mL and lowest was at 65.16 ± 3.15 with the IC50 value 16.46 ± 0.54, and H2O2 radical scavenging activity, predominant value was 78.01 ± 0.47 and least was 64.1 ± 2.01 with IC50 15.58 ± 0.34. …”
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Variability of the photoperiod response in guar (Cyamopsis tetragonoloba (L.) Taub.) genotypes of different geographic origin by S. B. Teplyakova, V. A. Volkov, E. А. Dzyubenko, E. К. Potokina

“…In the study, 192 guar genotypes from the VIR collection were tested for the speed of transition to flowering on an extremely long photoperiod (18.2–18.9 h) in the greenhouse of the Pushkin experimental station of VIR (St. …”
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Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform? by Godsway Edem Kpene, Sylvester Yao Lokpo, Sandra A. Darfour-Oduro

“…The performance of machine learning (ML) techniques such as support vector machine (SVM), decision tree, k nearest neighbor (kNN), eXtreme Gradient Boosting (XGBoost) and logistic regression were evaluated using the best-fitting predictive model for T2DM mortality. …”
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E-HEART score: A novel scoring system for undifferentiated chest pain in the emergency department by V. Yuvaraj, Sachin Sujir Nayak, S. Vimal Krishnan

“…Low E-HEART scores (0–3) have an extremely low probability for short-term MACE and may aid in faster disposition from the ED. …”
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