Childhood Mortality in Saudi Arabia: Analysis of 50 Years (1973–2022) by Ashwaq AlEed

“…This study aimed to investigate and compare IMR trends and patterns in Saudi Arabia by decade and sex over 50 years. …”
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Signaling pathways and posttranslational modifications of tau in Alzheimer’s disease: the humanization of yeast cells by Jürgen J. Heinisch, Roland Brandt

“…We will also discuss potential approaches to humanize yeast in order to create modification patterns resembling the situation in mammalian cells, which could enhance the value of Saccharomyces cerevisiae and Kluyveromyces lactis as disease models.…”
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Enhancement of body red coloration in juvenile spotted scat (Scatophagus argus) by dietary supplementation with Lianjiang red orange peels as a natural carotenoid source by Tong Han, Yongguan Liao, Lei Yang, Xinyi Li, Gang Shi, Dong-Neng Jiang, Chunhua Zhu, Chunhua Zhu, Guangli Li, Hongjuan Shi

“…Subsequently, the different color values (L*, a*, and b*), total carotenoids content, and gene expression pattern were analyzed. …”
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Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

“…[Objectives] This study focuses on the damage patterns of limestone in karst regions under acidic dry-wet cycles, aiming to explore the effects of the coupled action of acidic environment and dry-wet cycles on the mechanical properties and damage mechanisms of limestone. …”
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Investigating the Construction Procedure and Safety Oversight of the Mechanical Shaft Technique: Insights Gained from the Guangzhou Intercity Railway Project by Jianwang Li, Wenrui Qi, Xinlong Li, Gaoyu Liu, Jian Chen, Huawei Tong

“…This sets a benchmark for subway excavation projects in South China and beyond, providing reliable reference values. Furthermore, the findings provide valuable insights and guidance for industry peers, enhancing overall efficiency and sustainable development in subway construction.…”
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Study on the spatial differentiation and driving factors of ‘Non-grain’ of cultivated land in Anyuan county by Chenhui Zhu, Henggang Zhang, Yonglin Chen, Tianyu Jiao, Qun Luo, Hang Zhou, Yunping Zhang, Xu Ma

“…Finally, the results in the study showed that: (1) the overall NGPCL areal in 2020 was 11288.46 hm ^2 , accounts for 38.14%, of which the areas of NGPCL in the minor damage class and the serious damage class were 27.32% and 10.82%, respectively. (2) The spatial differentiation of NGPCL was obvious, which showed a clustered distribution pattern, with NGPCLs of the minor damage class clustered at high values in the topographically flat areas of the east-central zone, and NGPCLs of the severe damage class clustered at high values in the vicinity of the central urban area. (3) The levels of NGPCL for each type were significantly correlated with the three dimensions of natural, locational, and socio-economic factors, while topography, cultivated land infrastructure conditions and the degree of centralized and contiguous cultivated land were the important drivers of spatial differentiation of NGPCL. …”
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Physiological and Gene Expression Responses of Crassostrea ariakensis to Salinity Stress by Miaomiao YANG, Sudong XIA, Zhihong LIU, Xiujun SUN, Liqing ZHOU, Peizhen MA, Zhuanzhuan LI, Biao WU

“…Based on the β-actin gene as a reference, the expressions of the CarHsp70, CarHyou1, and CarDANJC2 genes were detected using RT-qPCR. …”
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Development Strategy of Sustainable Aviation Fuel by Lijun Tian, Xin Liu, Jixing Lyu, Xiaojun Yang, Changjiang You, Xuegong Chen

“…This study identifies the various elements and their inherent connections that contribute to the development of the SAF industry and elucidates the environmental, energy, and economic values of the industry. Moreover, it sorts out the development pattern of the international SAF industry from two aspects: policy support and technological development progress, and summarizes the scale and mode, technology and cost, and policy mechanism of China's SAF industry. …”
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Spatiotemporal Characteristic of XCO₂ and Its Changing Contribution Rate from Different Influencing Indicators in Mongolian Plateau of Central Asia by Yunga A, Zhengyi Bao, Siqin Tong, Yuhai Bao, Sainbayar Dalantai, Boldbaatar Natsagdorj, Xinle Fan

“…Results indicate the following: (1) Average XCO₂ concentration of the Mongolian Plateau was 412 ppm, with an annual growth rate of 2.29 ppm/a from 2018 to 2022, along with higher values in the south and lower values in the north. …”
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…In contrast, the transitional ecotone between the desert and the oases in Atux, Aksu, Kuqa, and Luntai have experienced a significant increase in ECa value. The variations observed within the defined Zone B, where ECa values ranged from 800 mS/m to 1100 mS/m, and Zone A, characterized by ECa values exceeding 1100 mS/m, aligned with the periodic fluctuations in the groundwater drought index (GDI), indicating a clear pattern of correlation. …”
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Effects of Ultrasound Treatment of Chickpea Protein Isolate Emulsion on the Quality and Freeze-thaw Stability of Low-fat Pork Meat Batter by Yixue ZHANG, Shangxi JIA, Bingbing CUI, Xue HAN, Wuchao MA, Yu WANG, Yanhong BAI, Ke LI

“…Meanwhile, the protein content, pH, L* value, and b* value of pork batter were significantly improved (P<0.05), and the fat distribution was more even. …”
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Deep learning-based body composition analysis from whole-body magnetic resonance imaging to predict all-cause mortality in a large western populationResearch in context by Matthias Jung, Vineet K. Raghu, Marco Reisert, Hanna Rieder, Susanne Rospleszcz, Tobias Pischon, Thoralf Niendorf, Hans-Ulrich Kauczor, Henry Völzke, Robin Bülow, Maximilian F. Russe, Christopher L. Schlett, Michael T. Lu, Fabian Bamberg, Jakob Weiss

“…Highest correlation coefficients (R) between volumetric and single-slice area body composition measures were located at vertebra L5 for SAT (R = 0.820) and SMFF (R = 0.947), at L3 for VAT (R = 0.892), SM (R = 0.944), and at L4 for IMAT (R = 0.546) (all p < 0.0001). A similar pattern was found in 23,725 NAKO participants (mean age 53.9 ± 8.3 years, age range 40–75; 44.9% female). …”
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Evaluation of Echocardiographic, Conventional Electrocardiographic, and Holter Variables in Jaguars (<i>Panthera Onca</i>) Anesthetized with Medetomidine and Ketamine: Implications... by Murillo Daparé Kirnew, Matheus Folgearini Silveira, Roberto Andres Navarrete Ampuero, Ana Paula Rodrigues Simões, Felippe Azzolini, Gediendson Ribeiro de Araújo, Pedro Nacib Jorge-Neto, Sofia Regina Polizelle, Juliane Patrícia Sipp, Cristiane Schilbach Pizzutto, Thyara Deco-Souza, Aparecido Antonio Camacho

“…This study provides valuable data, validating the anesthetic protocol and establishing reference cardiovascular values for jaguars, thus paving the way for future research in other veterinary species.…”
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Application of Array Imaging Algorithms for Water Holdup Measurement in Gas–Water Two-Phase Flow Within Horizontal Wells by Haimin Guo, Ao Li, Yongtuo Sun, Liangliang Yu, Wenfeng Peng, Mingyu Ouyang, Dudu Wang, Yuqing Guo

“…The results obtained from the three imaging algorithms were compared with these reference values to evaluate accuracy and visualize imaging performance. …”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…The components were identified by comparing the calculated linear retention indices obtained on two columns of different polarity with reference values.Results and discussion. The analysis of the essential oils of clary sage and rosemary identified 42 and 33 compounds, on average representing 93.7 and 96.2 % of all sample components, respectively. …”
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In silico analysis of Triphala-derived polyphenols as inhibitors of TIR–TIR homodimerization in the inflammatory pathway by Durgadevi Rajendran, Nalini Easwaran

“…The findings of the MD simulation corroborated the docking results, showing that two complexes (protein–punicalagin and protein–chebulagic acid) demonstrated better interaction patterns. The MD trajectory revealed that polyphenol binding enhanced the stability of the target protein, as indicated by lower root-mean-square deviation (RMSD) (∼0.25 nm), solvent accessible surface area (SASA) (∼96.848–100.666 nm2), and stabilized radius of gyration (Rg) (∼1.50–1.53 nm) values for punicalagin and chebulagic acid complexes compared to the reference complex. …”
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Isolation, Characterization and Genetic Diversity of Aspergillus flavus in Animal Feed by Dina Al-Shinawy, Reda E.M. Moghaieb, Sara B. Awaly, Gihan El-Moghazy, Dalia S. Ahmed

“…Morphological and molecular analyses revealed that all strains exhibited 97-100 % similarity with a reference strain and were significant producers of B-type AFs. …”
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Synthesis, physical properties, and root canal sealing of experimental MTA- and salicylate-based root canal sealers. by Rafael Pino Vitti, Kusai Baroudi, Tarun Walia, Raghavandra M Shetty, Flávia Goulart da Rosa Cardoso, Flávia de Moura Pereira, Evandro Piva, Cesar Henrique Zanchi, Gabriel Flores Abuna, Carolina Oliveira de Lima, Emmanuel João Nogueira Leal Silva, Flávio Henrique Baggio Aguiar, Mário Alexandre Coelho Sinhoreti

“…Single-rooted human teeth root canals were utilized for evaluating root canal filling using micro-computed tomography, push-out bond strength testing, and sealer penetration into dentinal tubules using confocal microscopy. Failure patterns in the push-out test were classified as adhesive, cohesive, or mixed. …”
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Load distribution across weekly microcycles according to match schedule in a team competing in the Australian national A-League Women’s soccer competition by Aaron Scanlan, Dean Miller, Mia Lundquist, Nathan Elsworthy, Michele Lastella

“…The relatively similar daily periodization patterns across different match schedules highlight greater consideration of weekly match schedules may be needed when planning weekly microcycles according to the schedule congestion faced.…”
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Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…The first method is the artificial neural network, through which we can analyze the big data from unconventional reservoirs to understand the underlying patterns and relationships. A bunch of factors is contained such as hydraulic fracture parameters, well completion, and production data. …”
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