bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preclinical Trial of Noncontact Anthropometric Measurement Using IR-UWB Radar
Authors: Kim Jinsup , Lee Won Hyuk , Kim Seung Hyun , Na Jae Yoon , Wang Dingyang , Lim Young-Hyo , Cho Seok Hyun , Cho Sung Ho , Park Hyun-Kyung 
Published: January 2022

Abstract
Anthropometric profiles are important indices for the assessment of medical conditions, including malnutrition, obesity, andgrowth disorders. Noncontact methods for estimating those parameters could have considerable value in many practicalsituations, such as the assessment of young, uncooperative infants or children and the prevention of infectious diseasetransmission. The purpose of this study is to investigate the feasibility of obtaining noncontact anthropometric measurementsusing the impulse-radio ultrawideband (IR-UWB) radar sensor technique. A total of 45 healthy adults were enrolled, and aconvolutional neural network (CNN) algorithm was implemented to analyze data extracted from IR-UWB radar. The differences(root-mean-square error, RMSE) between values from the radar and bioelectrical impedance analysis (BIA) as a reference inthe measurement of height, weight, and body mass index (BMI) were 2.78, 5.31, and 2.25, respectively; predicted data fromthe radar highly agreed with those from the BIA. The intraclass correlation coefficients (ICCs) were 0.93, 0.94, and 0.83.In conclusion, IR-UWB radar can provide accurate estimates of anthropometric parameters in a noncontact manner; this studyis thus the first supporting the radar sensor as an applicable method in clinical situations.
Biomarkers for Early Diagnosis of Autism Obtained Through Bioinformatics Analysis of Human Blood Samples
Authors: jin liuyin , wang gaohua , xiang junyi , shu chang , xu wenqian , wu linman , yang zhilan 
Published: January 2022

Abstract
Autism spectrum disorder (ASD) is a serious disorder that begins early in life and continues throughout life. Children diagnosed early with ASD are more responsive to therapeutic interventions and have less impairment of social and language functions whereas current diagnostic measures are mostly applied to children older than one year and lack the appropriate biological markers for early diagnosis of ASD. In this study, we used datasets GSE6575 from GEO to comprehensively analyze the mRNA expression profile of ASD, including 35 ASD samples and 12 normal control samples. Firstly, we looked for 50 different genes, and then we did a enrichment analysis of those genes. The results of enrichment analysis showed that these differential genes were mainly concentrated in the response to viruses, immune regulation of inflammation and energy metabolism Secondly, String database was used to construct Protein–protein interaction (PPI) network of differential genes. Finally, cytoscape plug-ins Cytohubba was further used to search for Hub genes and the diagnostic value of these Hub genes was verified by subject operating characteristic curves. among which two genes IL2RB and PRF1 had good sensitivity and specificity for the early diagnosis of autism. the areas under ROC curve were 0.855,0.830 for IL2RB, PRF1.Data analysis using GEO database can provide some new insights into the etiology of ASD and provide some possible biomarkers and therapeutic targets for early diagnosis and treatment of ASD.
Modeling and solving the parallel mixed-flow remanufacturing disassembly line balancing problem for multi-variety products*
Authors: Yu Gang , ZHANG Xiufen , Meng Wei 
Published: January 2022

Abstract
The types and numbers of components in end-of-life (EOL) products are often uncertain during remanufacturing, leading to low disassembly efficiencies for traditional remanufacturing disassembly lines. To address this problem, a parallel mixed-flow workstation layout was designed, and a novel parallel mixed remanufacturing disassembly line balancing optimization method for multi-variety products was proposed. A mixed-flow product disassembly task hierarchical assignment matrix was constructed to perform disassembly task allocations for similar components. Furthermore, a parallel mixed-flow remanufacturing disassembly line balancing (PMRDLB) optimization model was developed with the optimization objectives of minimizing the number of workstations, the disassembly line balancing rate, and the remanufacturing value indexes of the components. Furthermore, the multi-objective non-dominated genetic optimization method (NSGA-III) was improved, in which a chromosome construction method, based on the parallel mixed-flow disassembly task allocation matrix, was proposed to conduct mapping between the chromosomes and the PMRDLB model. In addition, non-dominated solution sorting was performed based on a Pareto hierarchy, which increased the searching rate of the algorithm during optimization. Finally, a case study verified the effectiveness and feasibility of the proposed method.
Three-dimensional (3D) liver cell models - A Tool for Bridging the Gap Between Animal Studies and Clinical Trials When Screening Liver Accumulation and Toxicity of Nanobiomaterials
Authors: Tutty Melissa Anne , Movia Dania , Prina-Mello Adriele 
Published: January 2022

Abstract
Despite the exciting properties and wide-reaching applications in human health and medicine of nanobiomaterials (NBMs), their translation from bench to bedside is slow, with a predominant issue being liver accumulation and toxicity following systemic administration. In vitro 2D cell-based assays and in vivo testing are the most popular and widely used methods for assessing liver toxicity at preclinical stages, however these fall short in predicting toxicity for NBMs. Focusing on the in vitro and in vivo assessment, the accurate prediction of human-specific hepatotoxicity is still a significant challenge to researchers. This review describes such methods, focusing on the limitations they bring in the assessment of NBM hepatotoxicity, as one of the reasons defining the poor translation for NBMs. We will then present some of the most recent advances towards the development of more biologically relevant in vitro liver methods based on tissue-mimetic 3D cell models and how these could facilitate the translation NBM going forward. Finally, we also discuss the low public acceptance and limited uptake of tissue-mimetic 3D models in the pre-clinical assessment, despite the demonstrated technical and ethical advantages.
Development and Validation of The Cognitive Attentional Syndrome Scale 1 Revised – Japanese Version
Authors: MACHIDA Minori , Tanobe Kaho , Lee Steve K. , Hara Shintaro , Kumano Hiroaki , Tayama Jun 
Published: January 2022

Abstract
Background: The Cognitive Attentional Syndrome Scale 1 Revised (CAS-1R) is a 10-item self-report measure designed to assess dysfunctional metacognition, which is a transdiagnostic predictor of psychological disorders. Dysfunctional metacognition can be broadly classified into “cognitive attentional syndrome” and “metacognitive beliefs.” In the present study, the CAS-1R was translated into Japanese, and the reliability and validity of the Japanese version of the CAS-1R (CAS-1R-J) were examined in a Japanese community sample. Methods: We recruited 552 Japanese residents via the Internet and received responses from 552 individuals for Time 1 (275 men and 277 women, M age = 39.81, SD = 11.06) and 112 individuals for Time 2. Of these, the data of 87 individuals (46 men and 41 women, M age = 40.31, SD = 10.62) were used to examine test-retest reliability.Results: The results of confirmatory factor analysis indicated that the factor structure (three-factor model) of the CAS-1R-J was appropriate for the data. Each of the subscales of the CAS-1R-J showed good internal consistency. In addition, there was a theoretical relationship between the CAS-1R-J and Metacognition Questionnaire-30, Penn State Worry Questionnaire, Generalized Anxiety Disorder-7 Scale, and Patient Health Questionnaire-9 Scale. Furthermore, the results of the hierarchical logistic regression analysis showed that the CAS-1R-J has discriminant and incremental validity for clinical symptoms. Conclusions: These results indicate that the CAS-1R-J is a valid instrument for assessing state cognitive attentional syndrome and metacognitive beliefs in Japanese individuals.
Correlation of Ultrasound Thyroid Imaging Reporting And Data System With Histopathology Findings Among Patients In Uganda
Authors: Isse Hamdi Mohamed , Lukande Robert , Sereke Senai Goitom , Odubu Fualal Jane , Nassanga Rita , Bugeza Samuel 
Published: January 2022

Abstract
Background: Ultrasonography (US) is a noninvasive modality for the initial assessment of thyroid nodules. Thyroid Imaging Reporting and Data System (TI-RADS) has demonstrated good performance in differentiating malignant thyroid nodules. However, the combination of TI-RADS categories and cytology had not been studied extensively. The study aims at correlating TI-RADS with cytology among patients referred for US-guided fine-needle none aspiration (FNNA) cytology at Mulago National Referral Hospital (MNRH).Methods: This was a hospital-based cross-sectional study that recruited 132 patients with thyroid nodules. Spearman’s correlation was used to establish a relationship between TI-RADS and FNA cytology findings. The diagnostic accuracy of TI-RADS was assessed using sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios.Results: Of 132 study participants 90% (n=117) were females and the mean age of 41±13. One hundred sixty-one thyroid nodules were analyzed. More than half of the thyroid nodules (54.7%, n=87) were solid or almost solid, 96.9% (n=154) were shaped wider than tall, with 57.2% (n=91) having smooth margins while 83.7% (n=133) were hyperechoic or isoechoic and 88.7% (n=141) had none or large comet-tail artifact. TR3 was the commonest at 42.9% (n=69). The proportion of malignancy for TR4 and TR5 were 73.3% and 85.7% respectively. The correlation between ACR TI-RADS and the Bethesda system of thyroid classification scores was r=0.577. The sensitivity, specificity, PPV, NPV, positive and negative likelihood ratios of ACR TI-RADS were 90.9%, 98.5%, 90%, 99.3%, 62.3, and 0.1 respectively.Conclusion: We found that ACR TI-RADS classification is an appropriate and non-invasive method for assessing thyroid nodules in routine practice. It can safely reduce the number of unnecessary FNNA in a significant proportion of benign thyroid lesions. Thyroid nodules classified as TR3 should be followed routinely. ACR TI-RADS should be standardized as the screening tool in resource-limited areas.
The effect of DPP-4 inhibitors, GLP-1 receptor agonists and SGLT-2 inhibitors on cardiorenal outcomes: a network meta- analysis of 23 CVOTs
Authors: Giugliano Dario , Longo Miriam , Signoriello Simona , Maiorino Maria Ida , Solerte Bruno , Chiodini Paolo , Esposito Katherine 
Published: January 2022

Abstract
Background: Glucagon-like peptide-1 receptor agonists (GLP-1RA) and sodium glucose co-transporter-2 (SGLT-2) inhibitors reduce cardiorenal outcomes. We performed a network meta-analysis to compare the effect on cardiorenal outcomes among GLP-1 RAs, SGLT-2 inhibitors and dipeptidyl peptidase-4 (DPP-4) inhibitors.Methods: We searched the PUBMED, Embase and Cochrane databases for relevant studies published up until 10 December 2021. Cardiovascular and renal outcome trials reporting outcomes on GLP-1RA, SGLT-2 inhibitors and DPP-4 inhibitors in patients with or without type 2 diabetes mellitus were included. The primary outcome was major adverse cardiovascular events (MACE); other outcomes were cardiovascular and total death, nonfatal myocardial infarction (MI), nonfatal stroke, hospitalization for heart failure (HHF), and renal outcome. Results: Twenty-three trials enrolling a total number of 181,143 participants were included. DPP-4 inhibitors did not lower the risk of any cardiorenal outcome when compared with placebo and were associated with higher risks of MACE, HHF, and renal outcome when compared with the other two drug classes. SGLT-2 inhibitors significantly reduced cardiovascular (RR = 0.88) and total (RR = 0.87) death, as compared with DPP-4 inhibitors, while GLP-1 RA reduced total death only (RR = 0.87). The comparison between GLP-1RA and SGLT-2 inhibitors showed no difference in their risks of MACE, nonfatal MI, nonfatal stroke, CV and total death; SGLT-2 inhibitors were superior to GLP-1RA in reducing the risk of HHF and the renal outcome (24% and 22% lower risk, respectively). Only GLP-1RA reduced the risk of nonfatal stroke (RR = 0.84), as compared with placebo. There was no head-to-head trial directly comparing these antidiabetic drug classes.Conclusions: SGLT-2 inhibitors and GLP-1RA are superior to DPP-4 inhibitors in reducing the risk of most cardiorenal outcomes; SGLT-2 inhibitors are superior to GLP-1RA in reducing the risk of HHF and renal events; GLP-1RA only reduced the risk of nonfatal stroke. Both SGLT-2 inhibitors and GLP-1RA should be the preferred treatment for type 2 diabetes and cardiorenal diseases.
Effects of persistent water-table level drawdown on fine-root biomass and production in different site types of a boreal forested peatland
Authors: Lampela Maija , Minkkinen Kari , Straková Petra , Bhuiyan Rabbil , He Wei , Mäkiranta Päivi , Ojanen Paavo , Penttilä Timo , Laiho Raija 
Published: January 2022

Abstract
Purpose
In peatlands, fine-root biomass (FRB) and production (FRP) and their depth distribution and plant functional type (PFT) composition are poorly known. We studied the effects of persistent water-table level drawdown on these characteristics in four forested boreal peatland site types that varied in soil nutrient and WTL regimes, ground vegetation and tree stand characteristics.
Methods
FRB was estimated by separating and visually identifying roots from soil cores extending down to 50-cm depth. FRP was estimated using ingrowth cores covering the same depth and the separated roots were identified using infrared spectroscopy.
Results
In both FRB and FRP, the differences between undrained and drained sites were small. In FRB, the clearest differences were seen in the originally wettest site, oligotrophic tall-sedge pine fen, and in the most-nutrient-rich site, herb-rich spruce swamp: in the pine fen FRB was smaller, and in the spruce swamp greater in the drained than in the undrained site. FRP was generally higher in nutrient-poor, pine-dominated sites. The depth distribution of FRB was more superficial than that of FRP, except for the most nutrient-rich spruce swamp. Tree and shrub roots dominated both FRB and FRP, except for the undrained pine fen, where graminoids and forbs dominated. Even there, these PFTs were replaced by trees and shrubs at the drained site.
Conclusion
Fine-root biomass and production vary widely both within and among different types of boreal forested peatlands. Lowering of WTL large enough to support greater-volume tree stands affects FRB and FRP relatively little.
Alterations of serine racemase expression determine proliferation and differentiation of neuroblastoma cells
Authors: Zhang He , Lu Jinfang , Shang Huiping , Chen Juan , Lin Zhengxiu , Liu Yimei , Wang Xianwei , Song Liping , Jiang Xue , Jiang Haiyan , Shi Jiandong , Yan Dongsheng , Wu Shengzhou 
Published: January 2022

Abstract
Genetic deletion of serine racemase(SR) causes development disability of neuronal dendrites whereas increased expression of SR is found in differentiated cells in culture. These observations suggest roles of SR in cell proliferation and differentiation. Very recently,we have characterized increased SR expression when a neuroblastoma cell line,N2A,undergoes differentiation. However,whether and how the expression levels of SR determine cell destiny remains unclear. We herein indicated that valproic acid(VPA) or all-trans retinoic acid induced N2A differentiation which was mitigated by knockdown of SR. Knockdown of SR increased N2A proliferation,promoted cell cycle entry,and modulated expression of cell cycle-related proteins in N2A cells. Tumor formation in nude mice was used to further examine the effect of SR expression on cell destiny. N2A cells stably expressing scramble shRNA(Srrwt-N2A) or Srr shRNA (Srrkd-N2A) were subcutaneously injected into nude mice,respectively. The tumors growing from Srrwt-N2A,significantly mitigated by intraperitoneal injection of VPA,were smaller than the tumors growing from Srrkd-N2A which were not affected by VPA. With R2 program,the levels of SR expression were predicted to be positively correlated with survival probability in neuroblastoma patients. This study unveils that alteration of SR modulated proliferation and differentiation of neuroblastoma cells and the mechanism. The results further suggest that induction of SR expression is a novel strategy to treat neuroblastoma.
Chromosomes Identification Based Differential Evolution (CIDE): A New Bio-inspired Variant for Network Intrusion Detection
Authors: Nayer Md. , Pandey Subhash Chandra 
Published: January 2022

Abstract
Chromosomes identification is of the paramount importance. The centromeric location of chromosomes is used to classify different species. Plethora of research has already been done in the domain of Bio-inspired computation. However, a Bio-inspired variant of Differential Evolution (DE) is still not designed. In this work attempt has been made for this pursuit and a new variant named as “Chromosomes Identification based Differential Evolution (CIDE)” has been proposed. This technique is used to extract the knowledge from the databases and it constructs effective and reliable decision rules for the purpose of classification. Further, the testing accuracies of proposed CIDE technique has been compared with nearest neighbour classifier (1-NN) optimized by various existing variants of differential evolution and 1-R classifier using six-real datasets, mainly from medical field. The experimental analysis reveals the fact that proposed technique is superior to 1-NN and 1-R classifier. Over and above, Friedman test has also been conducted to validate the superiority of proposed CIDE technique. Moreover, the proposed CIDE algorithm is also tested on KDDCup’99 dataset and different parameters such as classification accuracy, false alarm rate and precision are computed.
Microplastic Exposure Across Trophic Levels: Effects on the Host-microbiota of Freshwater Organisms
Authors: Varg Javier Edo , Outomuro David , Kunce Warren , Kuehrer Lukas , Svanbäck Richard , Johansson Frank 
Published: January 2022

Abstract
Background: Microplastics are a pervasive pollutant widespread in the sea and freshwater from anthropogenic sources, and together with the presence of pesticides, they can have physical and chemical effects on aquatic organisms and on their microbiota. Few studies have explored the combined effects of microplastics and pesticides on the host-microbiome, and more importantly, the effects across multiple trophic levels. In this work, we studied the effects of exposure to microplastics and the pesticide deltamethrin on the diversity and abundance of the host-microbiome across a three-level food chain: daphnids-damselfly-dragonflies. Daphnids were the only organism exposed to 1µm microplastic beads, and they were fed to damselfly larvae. Those damselfly larvae were exposed to deltamethrin and then fed to the dragonfly larvae. The microbiotas of the daphnids, damselflies, and dragonflies were analyzed. Results: Our results suggest that the exposure to microplastics and deltamethrin had negative carry-over effects on the diversity and abundance of the microbiome across the three trophic levels. Moreover, the exposure to deltamethrin on the damselflies negatively affected their survival rate in the presence of the dragonfly predator, but no such effects were found on damselflies exposed to only microplastics. Conclusions: Our study highlights the importance of evaluating ecotoxicological effects at the community level. Importantly, the indirect exposure to microplastics and pesticides through diet can potentially have bottom-up effects on the trophic webs.
Degradation of Chlortetracycline Hydrochloride by Peroxymonosulfate Activation on Natural Manganese Sand Through Response Surface Methodology
Authors: He Bo , Yang Ying , Liu Bingrui , Zhao Zixuan , Shang Jiangwei , Cheng Xiuwen 
Published: January 2022

Abstract
This study studies the degradation of chlortetracycline hydrochloride（CTC）by activated peroxymonosulfate (PMS) with natural manganese sand（NMS）. Meanwhile, the NMS was characterized and analyzed by isothermal nitrogen adsorption (BET), X-ray energy spectroscopy (EDS) and scanning electron microscope (SEM). It can be induced that NMS material may contain C, O, Al, Si, Fe, Mn, K, and the proportion of each is 6%, 9%, 13%, 34%, 27%, 5%, 6%. Critical parameters, including initial pH value, catalyst dosage and PMS amount, were optimized through response surface methodology. Results indicated that 81.65% of CTC could be degraded under the optimized conditions of PMS amount 2.02g/L, the NMS dosage 0.29g/L and pH 3.87. Also, it shows that NMS is the most powerful of each factor on the degradation efficiency. We proposed the degradation pathways of CTC from the liquid chromatograph-mass spectrometer (LC-MS) results. Therefore, NMS could be applied as an efficient activator of peroxymonosulfate to purify the water and wastewater.
DDoS Detection and Prevention of Attacks on M-Health Sensitive Data: A novel approach
Authors: Ray Soumya , mishra kamtanath , Dutta Sandip 
Published: January 2022

Abstract
In today's world m-Health (also termed as Mobile Health) is an integral part of the healthcare industry. M-health uses various kinds of mobile devices such as mobile phones, personal digital assistants, tablets, laptops, and wireless-based arrangements to collect and transfer run-time medical data between patients and healthcare institutions. The entire process of the m-healthcare system is dependent on a cloud system. As a result of services provided through the cloud platform, it is observed that network equipment is likely prone to different types of attacks in the system. The most extensively used of these attacks are Distributed Denial of Services (DDoS) attack which can halt the network service instantly and prevent the accessing of sensitive data. The attack can destroy the privacy and security of the data by injecting wrong information into it. The most crucial way in the battle against DDoS attacks is the fast detection and taking apart of network traffic. In this research work, four layers of m-healthcare architecture and the specific reasons for DDoS attacks in the system architecture are explained properly. A novel DDoS detection algorithm is proposed for the early detection of the attack in the system. The DDoS preventive algorithms are designed efficiently to restrict the access of attackers in the system. Further, the effect of the different types of DDoS attacks with their preventive approaches experimented in the cloud-based simulation environment. The maximum success and average success of the attacker concerning time are also analyzed as a part of the research paper.