Intelligent forecasting model for aquatic production based on artificial neural network by Junqiao Hu, Jingyu Yin, Chaohui Yang, Yanxi Zhou, Changqing Li, Changqing Li

“…In this study, four neural network models, namely Back Propagation (BP) neural network, BP neural networks optimized by Genetic Algorithms (GA-BP), Long Short-Term Memory neural networks (LSTM), and Radial Basis Function neural networks (RBF), are developed and compared to predict aquatic production in Zhanjiang City, China. …”
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A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity by Qingjie Xu, Qingjie Xu, Libing An, Haiqiang Yang, Haiqiang Yang, Keum-Shik Hong, Keum-Shik Hong

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Dual-approach co-expression analysis framework (D-CAF) enables identification of novel circadian co-regulation from multi-omic timeseries data by Joshua Chuah, Carmalena V. Cordi, Juergen Hahn, Jennifer M. Hurley

“…Functional enrichment analysis of these clusters identified novel immunological response pathways that appear to be under circadian control. …”
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STATISTICAL DATA AND ANALYSIS OF LITERATURE SOURCES ON PATHOPHYSIOLOGICAL MECHANISMS OF THE CROSSTALK BETWEEN ACUTE KIDNEY AND LIVER INJURY IN PRETERM NEWBORNS DURING THE EARLY NEO... by О. Оболонська, Л. Вакуленко

“… Acute kidney injury (AKI) and acute liver failure (ALF) are common and potentially dangerous complications in neonates admitted to the NICU. This article reviews data on the adverse effects of AKI on liver function and the development of ALF in preterm neonates. …”
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Does Urban Polycentric Structure Improve Carbon Emission Efficiency? A Spatial Panel Data Analysis of 279 Cities in China from 2012 to 2020 by Shihan Zhang, Yanxin Xue, Shuzhen Jin, Zhenghong Chen, Suiying Cheng, Wei Wang

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Prevalence of Upper Gastrointestinal Symptoms and Gastric Dysrhythmias in Diabetic and Non-Diabetic Indian Populations: A Real-World Retrospective Analysis from Electrogastrography... by Sanjay Bandyopadhyay, Ajit Kolatkar

“…Compared with the non-diabetic population, diabetic subjects had significantly higher rates of early satiety (56% vs. 45%, <i>p</i> < 0.0001), bloating (73% vs. 67%, <i>p</i> = 0.005), and reflux (28% vs. 24%, <i>p</i> = 0.029). WLST data analysis revealed that significantly more diabetic subjects ingested <350 mL (16% vs. 12%, <i>p</i> = 0.000016). …”
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A Common Data Environment Framework Applied to Structural Life Cycle Assessment: Coordinating Multiple Sources of Information by Lini Xiang, Gang Li, Haijiang Li

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The importance of correcting for health-related survey non-response when estimating health expectancies: Evidence from The HUNT Study by Fred Schroyen

“…OBJECTIVE: Using longitudinal data from the Trøndelag Health Study (HUNT), I investigate the extent to which adjustments for a health-related sample selection affect the age profiles for the prevalence of functional impairment (FI) and the associated disability-free life expectancy (DFLE). …”
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Data-independent LC-MS/MS analysis of ME/CFS plasma reveals a dysregulated coagulation system, endothelial dysfunction, downregulation of complement machinery by Massimo Nunes, Mare Vlok, Amy Proal, Douglas B. Kell, Etheresia Pretorius

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Exploring the role of microbiome in cystic fibrosis clinical outcomes through a mediation analysis by Seda Sevilay Koldaş, Osman Uğur Sezerman, Emel Timuçin

“…We applied this framework to a 16S rRNA sputum microbiome data set collected from patients with cystic fibrosis over 10 years to investigate the mediating role of the microbiome in the relationship between clinical states, disease aggressiveness phenotypes, and lung function. …”
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Real-world performance in therapeutic target attainment of various recommended polymyxin B dose regimens: Secondary data analysis of a prospective multicenter cohort by Jieqiong Liu, Yuhua Zhao, Jianping Zhu, Gang Liang, Yi Yang, Lingyan Yu, Zhenwei Yu

“…Results: A total of 304 AUC data from 247 patients were included in this study. …”
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Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data by Mahdi Rahmatzadeh, Reza Shokri-Gharelo, Morteza Derakhti-Dizaji, Asghar Bazzaz, Bizhan Mahmoudi

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GDnet-IP: Grouped Dropout-Based Convolutional Neural Network for Insect Pest Recognition by Dongcheng Li, Yongqi Xu, Zheming Yuan, Zhijun Dai

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Spatial cluster analysis of Plasmodium vivax and P. malariae exposure using serological data among Haitian school children sampled between 2014 and 2016. by Adan Oviedo, Camelia Herman, Alaine Knipes, Caitlin M Worrell, LeAnne M Fox, Luccene Desir, Carl Fayette, Alain Javel, Franck Monestime, Kimberly E Mace, Michelle A Chang, Jean F Lemoine, Kimberly Won, Venkatachalam Udhayakumar, Eric Rogier

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Data-driven diabetes mellitus prediction and management: a comparative evaluation of decision tree classifier and artificial neural network models along with statistical analysis by Idris Zubairu Sadiq, Babangida Sanusi Katsayal, Bashiru Ibrahim, Maryam Ibrahim, Hassan Aliyu Hassan, Umar Muhammad Ghali, Abdullahi Garba Usman, Abubakar Usman, Sani Isah Abba

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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

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Interval-Valued Random Matrices by Abdolnasser Sadeghkhani, Ali Sadeghkhani

“…This paper introduces a novel approach that combines symbolic data analysis with matrix theory through the concept of interval-valued random matrices. …”
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ON THE ISSUE OF ASSESSING THE ECOLOGICAL STATE OF VARIOUS WATERCOURCES IN THE CONDITIONS OF ANTHROPOGENIC PRESSURE by Elena A. Shashulovskaya, Svetlana A. Mosiyash, Olga V. Shashulovskaya, Irina G. Filimonova, Liliya V. Grishina, Elena G. Kuzina

“…The water quality was assessed on the basis of several indices: the widely used specific combinatorial water pollution index (SCWPI), and statistical criteria based on the data of long-term environmental monitoring: the plasticity indicator as a measure of ecosystem sustainability and the desirability function. …”

Private-preserving scientific computation of the rational numbers by Xuhong LIU, Chen SUN

“…As a fundamental part of cryptography, secure multiparty computation (SMC) is a building block of various cryptographic protocols, and it is also a hot topic in the international cryptographic community.In recent years, many SMC problems, such as secret information comparison, secret set problems and secure multiparty computational geometry, have been widely studied.As many practical problems need to be described by rational numbers, it is both theoretically and practically important to study the SMC problems in the rational number field.However, most of the existing researches focus on integers and the studied data are mainly one-dimensional data.There are few researches on secure multiparty computation of multi-dimensional data in the rational number field, but they can’t be generalized.Based on the fractional representation of rational numbers, the new encoding schemes about rational numbers and rational number vectors were proposed, which could encode multi-dimensional data in the rational number field and provided new solutions for other SMC problems in the rational number field.Based on the encoding scheme and one-way hash function, some protocols were designed for equality problems and set problems in the rational number field.These protocols used basic arithmetic operation and hash operation to guarantee efficiency than existing related protocols.And these protocols didn’t limit the range of research data and they were more widely applicable.It proves that these protocols are secure in the semi-honest model using simulation paradigm, and demonstrates the efficiency and the applicability of these protocols by theoretical analysis and experiment.A practical example was also given to illustrate that approaches are more versatile, and they could also be directly used to solve some secure multiparty computational geometry problems in the rational number field.…”
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Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: A pooled analysis of individual data from 17 observational studies. by Dongshan Zhu, Hsin-Fang Chung, Nirmala Pandeya, Annette J Dobson, Janet E Cade, Darren C Greenwood, Sybil L Crawford, Nancy E Avis, Ellen B Gold, Ellen S Mitchell, Nancy F Woods, Debra Anderson, Daniel E Brown, Lynnette L Sievert, Eric J Brunner, Diana Kuh, Rebecca Hardy, Kunihiko Hayashi, Jung Su Lee, Hideki Mizunuma, Graham G Giles, Fiona Bruinsma, Therese Tillin, Mette Kildevæld Simonsen, Mette Kildevæld Simonsen, Hans-Olov Adami, Elisabete Weiderpass, Marianne Canonico, Marie-Laure Ancelin, Panayotes Demakakos, Gita D Mishra

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