Risk Assessment of Heavy Metals in Road-Deposited Sediments and Correlation Distribution of DOM and Heavy Metals in Beijing, China by Donghai Yuan, Pengmiao Li, Chenling Yan, Jinggang Wang, Xiaochen Bai, Yuhang Wei, Chen Wang, Yingying Kou

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On the usage of artificial intelligence in leprosy care: A systematic literature review. by Hilson Gomes Vilar de Andrade, Elisson da Silva Rocha, Kayo H de Carvalho Monteiro, Cleber Matos de Morais, Danielle Christine Moura Dos Santos, Dimas Cassimiro Nascimento, Raphael A Dourado, Theo Lynn, Patricia Takako Endo

“…It can result in physical disabilities and functional loss and is particularly prevalent amongst the most vulnerable populations in tropical and subtropical regions worldwide. …”
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Characteristics of chemically induced liver progenitors derived from a pig model of metabolic dysfunction-associated steatotic liver disease. by Masayuki Fukumoto, Daisuke Miyamoto, Akihiko Soyama, Takanobu Hara, Yasuhiro Maruya, Peilin Li, Hajime Matsushima, Kazushige Migita, Takahiro Enjoji, Hanako Tetsuo, Takuro Fujita, Mampei Yamashita, Hajime Imamura, Tomohiko Adachi, Kengo Kanetaka, Takahiro Ochiya, Susumu Eguchi

“…In contrast, markers of functional MH after re-differentiation were only detected in the healthy group. …”
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Thrombus rooting in the pulmonary arteriovenous fistula in a patient with cryptogenic stroke, a case report by Ming Song, Honggang Dai, Weida Lu, Xiao Meng

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User Communities — Drivers for Open Innovation by Gunnar Prause, Thomas Thurner

“…Users best judge what will lead to commercial success, and they have long been recognized as a valuable source of knowledge to harvest for future innovation. …”
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Identification of miRnas with possible prognostic roles for HAM/TSP by Daniela Raguer Valadão de Souza, Rodrigo Pessôa, Youko Nukui, Juliana Pereira, Rosa Nascimento Marcusso, Augusto César Penalva de Oliveira, Jorge Casseb, Alberto José da Silva Duarte, Patricia Bianca Clissa, Sabri Saeed Sanabani

“…The seven most deregulated miRs target genes have been associated with a variety of biological processes and molecular functions. The reactome pathways relevant to our findings provide a rich source of data and offer the opportunity to better understand sRNA regulation and function in HTLV-1 pathophysiology. …”
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Responsive cellulose nanocrystal‐based liquid crystals: From structural color manipulation to applications by Jiao Liu, Ye‐Ming Qing, Jun‐Jie Wu, Jing‐Qi Tian, Chi‐Bo Feng, Xin‐Yu Zhou, Yun Ma, Bing‐Xiang Li, Yan‐Qing Lu, Quan Li

“…Cellulose nanocrystals (CNCs), obtained through the acidic hydrolysis of cellulose‐based materials including wood, cotton, and additional sources, have attracted significant attention in areas, for example, energy storage, cosmetics, and medical devices. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…However, VASO comes along with another reduction in detection sensitivity. NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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Venous Thromboembolism Prophylaxis in Intensive Care Units (Review) by L. V. Popova, T. B. Kondratieva, M. Z. Kanevskaya, T. L. Aleinikova, E. S. Zykova, А. V. Krivova, A. M. Kuznetsov

“…VTE is common and potentially life-threatening in patients admitted to ICU, even in spite of preventive care.The purpose of the review is to justify the necessity of preventive care for venous thromboembolism in ICU patients.From over 300 initially selected sources of literature databases (Scopus, Web of science, RSCI, etc.), 99 sources were chosen including 69 that were published during the last five years (2015-2020). …”
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Intranasal administration of stem cell derivatives for the treatment of AD animal models: a systematic review and meta-analysis by Zilin Hua, Nan Zhou, Zijing Zhou, Zewei Fu, Ruiyun Guo, Herman Yao Akogo, Jiayin Yang, Meixuan Yu, Yujie Jiang, Siyi Lan, Haixia Chang, Jun Ma, Huixian Cui

“…Subgroup analyses indicated that stem cell source, stem cell derivative types and Aβ detection method were not primary drivers of heterogeneity. …”
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Oligosaccharide production using β-galactosidase from Lactobacillus bulgaricus and Kluyveromyces lactis in sweetened reconstituted nonfat dry milk by Giselle K.P. Guron, Arland T. Hotchkiss, Jr., Brittany H. Bodnar, Andrew Harron, John A. Renye, Jr., Michael J. McAnulty

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INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

“…The authors identify five basic functions of rural areas, developed and presented by the author’s methodology for monitoring the dynamic and including thirty-one indicators, which allow to assess the changes in rural area over the years.Discussion. …”
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Urotensin-II: More Than a Mediator for Kidney by Ayşe Balat, Mithat Büyükçelik

“…Although both hU-II and its receptor, GPR14, are detected in several tissues, kidney is a major source of U-II in humans. …”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Copy number variations (CNVs) have emerged as one of the most important sources of genetic variation, influencing phenotypic traits by altering gene expression and dosage. …”
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Features of the alpha-cell population organization in pancreas of spontaneously hypertensive rats (SHR) by T. V. Abramova, Yu. M. Kolesnyk

“…At the same time, glucagon-suppressive therapy is defined as the strategically main source of success of therapy for patients with type 2 diabetes mellitus. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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THE SOLUTION TO THE EQUATION OF THE SHOCK WAVE BURGERS IN THE PTC MATHCAD ENVIRONMENT by R. E. Oleynikova

“…However, this error is detected through the values of the nonlinear term included in the differential equation, which is determined according to the binomial representation through the quadratic forms of the matrix of the trial function. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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Quantification of glucagon and oxyntomodulin by protein precipitation-immunoaffinity enrichment-LC-MS/MS by Jessica O. Becker, Sara K. Shijo, Huu-Hien Huynh, Katrina L. Forrest, Michael J. MacCoss, Michelle A. Emrick, Elisha Goonatilleke, Andrew N. Hoofnagle

“…A glucagon calibration material was sourced commercially and characterized for purity and concentration by high-performance liquid chromatography-ultraviolet detection and amino acid analysis. …”
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