Clinical and functional remission assessment in patients with recurrent depression by N. N. Petrova

“…The anxious variant of incomplete remission predominated, suggesting that it is advisable to choose anxiolytic antidepressants for maintenance therapy. New-generation antidepressant therapy is more frequently associated with complete remission. …”
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Functional analysis of Leishmania cyclopropane fatty acid synthetase. by Samuel O Oyola, Krystal J Evans, Terry K Smith, Barbara A Smith, James D Hilley, Jeremy C Mottram, Paul M Kaye, Deborah F Smith

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PIABC: Point Spread Function Interpolative Aberration Correction by Chanhyeong Cho, Chanyoung Kim, Sanghoon Sull

“…These PSFs are then encoded into a latent space to enhance their features and used to generate refined PSFs via similarity-weighted interpolation at each target position. …”
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Bioremediation of Chromium by Microorganisms and Its Mechanisms Related to Functional Groups by Abate Ayele, Yakob Godebo Godeto

“…Also, the presence of multiple functional groups in microbial cell surfaces and more active binding sites allow easy uptake and binding of a greater number of toxic heavy metal ions from polluted samples. …”
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Clinical-exome sequencing unveils the genetic landscape of polycystic ovarian syndrome (PCOS) focusing on lean and obese phenotypes: implications for cost-effective diagnosis and p... by Shrinjana Dhar, Pritha Bhattacharjee

“…It uses a comprehensive bioinformatics methodology to depict pathways and functionality enrichment, allowing for cost-effective risk prediction and management. …”
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Functions of Circular RNAs in Regulating Adipogenesis of Mesenchymal Stem Cells by Fanglin Wang, Xiang Li, Zhiyuan Li, Shoushuai Wang, Jun Fan

“…In the current review, characteristics and functions of circRNAs in stem cell differentiation will be discussed. …”
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TAAR8 in the Brain: Implications for Dopaminergic Function, Neurogenesis, and Behavior by Taisiia S. Shemiakova, Alisa A. Markina, Evgeniya V. Efimova, Ramilya Z. Murtazina, Anna B. Volnova, Aleksandr A. Veshchitskii, Elena I. Leonova, Raul R. Gainetdinov

“…TAAR8 is the least studied TAAR family member, and currently, there is no data on its function in the mammalian central nervous system. <b>Methods:</b> We generated triple knockout (tTAAR8-KO) mice lacking all murine <i>Taar8</i> isoforms (<i>Taar8a</i>, <i>Taar8b</i>, and <i>Taar8c</i>) using CRISPR-Cas9 technology. …”
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Functional Characterization of Pomegranate CAMTA3 in Cold Stress Responses by Shuangshuang Zhao, Rui Lu, Lijuan Feng, Mengyu Zheng, Han Zhang, Yanlei Yin, Ling Zheng

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Genomic evidence on the distribution and ecological function of Pseudomonas in hadal zone by Yongxin Lv, Lizhi Zhang, Xiangyu Wang, Yu Zhang

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Microbiota as Potential Functional Traits Facilitating Springtail Activity in Winter by Cao Hao, Bing Zhang, Pingting Guan, Zhijing Xie, Guoliang Xu, Donghui Wu, Ting‐Wen Chen

“…Springtails (Collembola), key contributors to litter decomposition and soil ecosystem functioning, require specialized adaptations to endure harsh winter conditions. …”
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Design Impedance Mismatch Physical Unclonable Functions for IoT Security by Xiaomin Zheng, Yuejun Zhang, Jiaweng Zhang, Wenqi Hu

“…As more and more objects interconnect on IoT networks, the identity of each thing is very important. …”
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Selection of Functional Diagram of Air Multi-Compressor Control System by Roman Kokoshko, Oleksandr Kril, Bohdan Kril

“…Compressed air generation systems are a necessary facility for most enterprises; they also belong to the most energy-consuming equipment category. …”
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Boundedness of Variance Functions of Natural Exponential Families with Unbounded Support by Shaul K. Bar-Lev

“…A second set relies on the Legendre duality, requiring a uniform positive lower bound on the second derivative of the generating function, which likewise ensures a bounded VF. …”
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Weak Physycally Unclonable Functions in CMOS Technology: A Review by Massimo Vatalaro, Raffaele De Rose, Marco Lanuzza, Felice Crupi

“…Physically unclonable functions (PUFs) represent emerging cryptographic primitives that exploit the uncertainty of the CMOS manufacturing process as an entropy source for generating unique, random and stable keys. …”
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Community and functionality of fungi in the gastrointestinal tracts of herbivores revealed by omics by WANG Jiakun, HE Wenfeng

“…Molecular marker technology based on ribosomal 18S/28S rRNA genes and internal spacer region (ITS) provides a more precise means for the research of anaerobic fungi quantity and diversity, and the 28S rDNA D1/D2 is the preferred region for anaerobic fungal next generation sequencing. …”
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Calibration Of Regional Vulnerability Functions By Applying Earthquake Events Database by Nina I. Frolova, Valery I. Larionov, Jean Bonnin, Sergey P. Sushchev, Alexander N. Ugarov

“…The examples of earthquake damage estimations for the test site in Siberia showed that region-specific parameters in the vulnerability functions yield more reliable results to estimate possible damage and losses due to a large earthquake. …”
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Nighttime light intensity and brightness suitability in urban functional zones by Ming Liu, Ruicong Li, Yiwei Li, Ezzaddeen Ali Mohammed Saeed AL-Mowallad, Chenglong Wu, Wenjing Wang

“…The differences in brightness of the nocturnal light environment further reveal the characteristics of urban functions. This study takes the main urban area of Dalian as an example, integrates Point of Interest and OpenStreetMap data to generate functional zone samples, and proposes a multi-scale evaluation framework at the levels of administrative districts, streets, and blocks, combined with Luojia-1 night-time remote sensing imagery. …”
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The use of plant waste to ensure the functioning of agricultural energy complexes by M. F. Nabiullina, G. R. Mingaleeva, O. V. Afanaseva, S. S. Timofeeva

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Cloning and functional analysis of ZmMADS42 gene in maize by Yang Zhao, Jianyu Lu, Bo Hu, Peng Jiao, Bai Gao, Zhenzhong Jiang, Siyan Liu, Shuyan Guan, Yiyong Ma

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Predicting electricity supply and demand curves with functional data techniques by Zehang Li, Andrés M. Alonso, Lorenzo Pascual

“…Additionally, we do not assume smooth curves, leading to more realistic predictions. Finally, predictions are adjusted with the closest training set curve. …”
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