bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uplink SINR and Rate Analysis in Massive MIMO Systems with Two-Layer Linear Receiver
Authors: Abid Wahiba , Roy Sébastien , Ammari Mohamed Lassaad 
Published: August 2022

Abstract

In a previous work, a two-layer linear receiver was proposed as a low-complexity scheme that can achieve a good trade-off between performance and complexity in a massive multiple-input multiple-output (MIMO) context. For this scheme, the antenna array is split up into a number of subsets and multi-cell minimum mean-square-error (M-MMSE) combining is applied in each subset at the first layer. Then, the resulting outputs are combined using maximal-ratio combining (MRC) at the second layer. This paper presents a more complete performance analysis. First, we provide an entirely analytical derivation of the distribution of the output signal-to-noise-and-interference ratio (SINR) of first-layer processing based on multivariate statistical theory. The analysis includes both cases where the subset size is smaller or greater than the total number of signals. Furthermore, upper bounds and approximations on the average uplink SINR and achievable rate are derived. Numerical simulations confirm our analysis results.
A pilot study of several environmental endocrine disrupt ing chemicals in children with autism spectrum disorder in South China
Authors: Gao Chong-Jing , Yang Feng , Wu Bin-Bin , Liang Yan , Qin Yan-Yan , Guo Ying 
Published: August 2022

Abstract

Autism spectrum disorders (ASD) is a group of heterogeneous neurodevelopmental disorders. Evidences have implied that environmental pollutants are important factors related to ASD. In this study, several environmental endocrine disrupting chemicals (EDCs) including parabens, benzophenone-type ultraviolet (BP-type UV) filters, hydroxyl polycyclic aromatic hydrocarbons (OH-PAHs), triclosan (TCS) and tetrabromobisphenol A (TBBPA) were analyzed in blood plasma in ASD (n=34) and the control children (n=28). The results showed that parabens were the most concentrated chemicals (2.18 ng/mL, median value) in ASD children, followed by OH-PAHs (0.73 ng/mL), BP-type UV filters (0.14 ng/mL), TCS (0.13 ng/mL) and TBBPA (0.03 ng/mL). ASD children accumulated significantly lower 2-hydroxy-4-methoxybenzophenone (BP-3), 2,4-dihydroxybenzophenone (BP-1), 4-hydroxybenzophenone (4-HBP) and TCS, but higher 2-hydroxyphenanthrene (2-OH-Phen) and TBBPA than the control children (0.02/0.09 ng/mL of BP-3, p < 0.05; 0.04/0.07 ng/mL of BP-1, p < 0.05; 0.03/0.04 ng/mL of 4-HBP, p < 0.05; 0.13/1.22 ng/mL of TCS, p < 0.01; 0.03 ng/mL/not detected of 2-OH-Phen, p < 0.05; 0.03/0.004 ng/mL of TBBPA, p < 0.05). Sex-dependent differences in certain EDCs were evident, and the differences more inclined to boys. Positive associations between BP-3 and TCS, and TBBPA and 2-OH-Phen were found in ASD boys. Binary logistic regression analysis showed that the adjusted odds ratio (OR) value of 2-OH-Phen in ASD boys was 11.0 (1.45-84.0, p < 0.05). This is the first pilot study on multiple EDCs in children with ASD in China.
Deep Learning Infers Cell-dependent RNA Velocity through a Relay Velocity Model
Authors: wang guangyu 
Published: August 2022

Abstract

RNA velocity has provided a promising approach for inferring cellular state transition from single-cell RNA sequencing (scRNA-seq) data. Conventional RNA velocity models infer universal kinetics from all cells in a scRNA-seq experiment, resulting in unpredictable performance in the experiments with multi-stage and/or -lineage transition of cell states. Here, we present cellDancer, a scalable Deep Neural Network (DNN) framework, to locally infer velocity for each cell from its neighbors on gene space and then relay cell-dependent velocities of all cells. We showed that cellDancer is efficient to overcome the fundamental limitation of existing RNA velocity models in multi-stage transition during gastrulation erythroid maturation and the multi-lineage differentiation in hippocampus development. Moreover, cellDancer provides the cell-specific prediction of transcription, splicing, and degradation rates which illuminates mechanisms of transcriptome regulation.
Effect of Simultaneous High-definition Transcranial Direct Current Stimulation and Robot-assisted Gait Training on Gait Function in Chronic Stroke Patients
Authors: Kim Eunmi , Lee Jungsoo , Lee Gihyoun , Kim Yun-Hee 
Published: August 2022

Abstract
Background
Robot-assisted gait training (RAGT) is used for rehabilitation after stroke, but not all chronic stroke patients achieve satisfactory improvement in physical ability. The purpose of this study was to investigate whether the effects of RAGT on gait and physical function in chronic stroke patients could be enhanced by simultaneously applying high-definition transcranial direct current stimulation (HD-tDCS).
Methods
Twenty-four chronic hemiplegic stroke patients (15 males; mean age 60.5 ± 13.9 years) participated in this study. The subjects were randomly allocated to either the RAGT with real HD-tDCS group (RAGT \(\stackrel{-}{\text{c}}\) rHD-tDCS) or the RAGT with sham HD-tDCS group (RAGT \(\stackrel{-}{\text{c}}\) sHD-tDCS). Each group completed 10 sessions over four consecutive weeks. Gait and physical function were measured by the 10 Meter Walk Test (10MWT), Timed Up and Go (TUG), Functional Ambulation Category (FAC), Functional Reach Test (FRT), Berg Balance Scale (BBS), Dynamic Gait Index (DGI), Fugl-Meyer Assessment (FMA), and the Korean version of the Modified Barthel Index (K-MBI). Assessments were performed before intervention (Pre), immediately after intervention (Post), and at follow-up (F/U) one month after the intervention.
Results
The RAGT \(\stackrel{-}{\text{c}}\) rHD-tDCS group showed statistically significant improvements in 10MWT, TUG, FRT, and BBS at Post and F/U compared to Pre (P < 0.05). The RAGT \(\stackrel{-}{\text{c}}\) rHD-tDCS group also improved significantly in the DGI and FMA at Post compared with Pre (P < 0.05). The RAGT \(\stackrel{-}{\text{c}}\) sHD-tDCS did not show significant improvement at Post or F/U compared to Pre. Repeated measures analysis of variance revealed significant time × group interactions in the FMA and the K-MBI (P < 0.05), indicating that the RAGT \(\stackrel{-}{\text{c}}\) rHD-tDCS group experienced greater improvements in motor and activities of daily living functions compared with the RAGT \(\stackrel{-}{\text{c}}\) sHD-tDCS group.
Conclusion
These results demonstrate that simultaneous application of HD-tDCS during RAGT produces positive effects on gait and physical function in chronic stroke patients. Combining RAGT with HD-tDCS ensured long-term training effects for up to one month. HD-tDCS can be suggested as a complementary tool for enhancing robotic gait rehabilitation therapy in chronic stroke patients after a larger confirmatory study to verify these effects.
Trial registration:
Clinical trials registration information: ClinicalTrials.gov Identifier: NCT04985864 (07/30/2021).
Photocatalytic degradation of Congo red, Crystal violet and Textile Industrial effluent using cuprous oxide nanoparticles synthesized using root extract of Withania somnifera
Authors: Dhara Manmata , Karmakar Aditi , Kisku Kanika , Ganesan Senthil Kumar 
Published: August 2022

Abstract
The photocatalytic activity of biofunctionalized yellow cuprous oxide nanoparticles (Cu2O NPs) for the breakdown of Congo red, Crystal violet and textile industrial effluent is being investigated in this research. We used root extract of Withania somnifera to synthesise Cu2O NPs, which resulted in spherical, monodispersed Cu2O NPs with an average diameter of 410 nm. In the presence of a reducing agent sodium borohydrate and Cu2O NPs, we performed photocatalytic degradation of Congo red and Crystal violet. After treatment with both sodium borohydrate and Cu2O NPs, UV-Visible Spectrophotometry revealed that 66.15 percent Congo red and 66.58 percent Crystal violet were degraded, respectively. The treatment of industrial effluent with Cu2O NPs showed production of degradation by-products and significant removal of toxic heavy metals as evident from the Gas Chromatography-Mass Spectrometry (GC-MS) and Inductively coupled plasma-optical emission spectrometry (ICP-OES) analysis respectively. Industrial effluent treated with Cu2O NPs had shown to have significantly less detrimental effect on HEK cell lines as evident from the MTT assay.
Luminescent Transparent Wood from Balsa wood (Ochroma pyramidale) Loaded by Graphite Carbon Nitride for Implication of Photoelectric Device
Authors: Yin Xuefeng , Zhang Yaqian , Xu Yongjian 
Published: August 2022

Abstract
In this study, metal-free wood-based encapsulating materials for WLED was obtained by using renewable transparent wood as the biological support and the light scattering component, and graphite carbon nitride as the color light emitting component. The graphite phase carbon nitrides with blue and green color were prepared by thermal polymerization through structural regulation of raw materials. The resulting different color phosphors were mixed with epoxy resin, respectively, and then blue epoxy resin, green epoxy resin and red epoxy resin were mixed with a mass ratio of 4:2:1 and adding a proper amount of curing agent. The delignified balsa wood with high porosity was vacuum impregnated with epoxy resin mixture to obtain white luminescent transparent wood (g-C3N4 (W)@TW) with better performance such as high transmittance and high haze. It provides a feasible solution for the sustainable development of transparent wood and the application of transparent wood to photoelectric materials.
Evaluation and validation of the increased annexin A3 (ANXA3) as a novel biomarker to predict sepsis in critically ill patients
Authors: Lu Hong-xiang , Ma Cong-cong , Wen Da-lin , Chen Guo-sheng , Zhang Fei , Xu Gang , Shi Qing-hai , Zhang An-qiang 
Published: August 2022

Abstract

Background:Current research indicated Annexin A3 (ANXA3) was involved in innate immunity. Nevertheless, the comprehensive expression of ANXA3 in sepsis patients remain uncertain.Methods:We performed a meta-analysis utilizing public datasets form Array Express and Gene Expression Omnibus (GEO) to summarize and evaluate the expression level of ANXA3 in sepsis patients. Then, we investigated the associations between plasma ANXA3 and sepsis via a retrospective study. The predictive ability of plasma ANXA3 for sepsis was evaluated using the Area Under the Curve (AUC).Results:Totally, the meta-analysis including 2612 sepsis and 2259 controls indicated sepsis patients were with markedly higher levels of ANXA3 mRNA expression (SMD=2.04 (1.54-2.55); p<0.00001). Meanwhile, sepsis deaths (n=500) were with limited higher expression of ANXA3 mRNA than sepsis survivors (n=1711) (SMD=0.11(0.01-0.22); p=0.03). Furthermore, our results indicated plasma ANXA3 on admission were significantly associated with the incidence of sepsis in critically ill patients (OR=2.41(1.75-3.32), p<0.001). As a predictive biomarker, plasma ANXA3 resulted in a better AUC 0.815(0.745-0.886) than procalcitonin (PCT) (0.673(0.584-0.761)) and interleukin-6 (IL-6) (0.672(0.585-0.759)) and SOFA score (0.668(0.577-0.759)). Additionally, patients with high plasma ANXA3 had a poorer overall 28-day survival in critically ill patients (HR=2.16(1.09-4.28); p=0.028), but not for sepsis patients (HR=1.63(0.65-4.06); p=0.276).Conclusions:This study evaluated and validated ANXA3 was increased in sepsis. As a predictive biomarker, plasma ANXA3 obtained a good predictive ability for sepsis. Meanwhile, plasma ANXA3 was associated with outcomes of critically ill patients, but not sepsis patients.
Assembling High-Quality Lymph Node Clinical Target Volumes for Cervical Cancer Radiotherapy Using a Deep Learning-Based Approach
Authors: Jiang Xiaoxuan , Zhang# Shengyuan , Fu Yuchuan , Yu Hang , Tang Huanan , Wu Xiangyang 
Published: August 2022

Abstract
Background: To explore an approach for accurate assembling high-quality lymph node clinical target volumes (CTV) on CT images in cervical cancer radiotherapy with the encoder-decoder 3D network. Methods: CT images from 216 cases were involved from 2017-2020 in our center. 216 patients were divided into two cohorts, including 152 cases and 64 cases respectively. The first cohort with 152 cases whose para-aortic lymph node, common iliac, external iliac, internal iliac, obturator, presacral and groin nodal regions as sub-CTV were delineated manually. Then the 152 cases were randomly divided into training ( n=96 ), validation ( n=36 ) and test ( n=20 ) groups for training process. Each structure was individually trained and optimized through a deep learning model. An additional 64 cases with 6 different clinical conditions were taken as examples to verify the feasibility of CTV generation based on our model. Dice similarity coefficient(DSC) and hausdurff distance(HD) metrics were both used for quantitative evaluation.Results: Comparing auto-segmentation results to ground truth, the mean DSC value/HD were 0.838/7.7mm, 0.853/4.7mm, 0.855/4.7mm, 0.844/4.7mm, 0.784/5.2mm, 0.826/4.8mm and 0.874/4.8mm for CTV_PAN, CTV_common iliac, CTV_internal iliac, CTV_external iliac, CTV_obturator, CTV_presacral and CTV_groin, respectively. The similarity comparison results of 6 different clinical situations were 0.877/4.4mm, 0.879/4.6mm, 0.881/4.2mm, 0.882/4.3mm, 0.872/6.0mm and 0.875/4.9mm for DSC value/ HD respectively.Conclusions: We developed a deep learning-based approach to segmenting lymph node sub-regions automatically and assembling CTVs according to clinical needs with these sub-regions in cervical cancer radiotherapy. This work can be applied to improve the consistency and flexibility of high-quality CTV delineation, increase the efficiency of cervical cancer work process.
C-MEMS Derived Glassy Carbon Electrochemical Biosensors for Rapid Detection of SARS-CoV-2 Spike Protein
Authors: Pramanick Bidhan , Mandal Naresh , Mitra Raja 
Published: August 2022

Abstract
According to the World Health Organization (WHO) report, the world has experienced more than 568 million positive cases and more than 6 million deaths due to COVID infection. WHO declared a pandemic due to the rapid spread of the SARS-CoV-2 virus, and the fight against this pandemic is not over yet. The significant reasons for virus spread are the lack of detection kits, appropriate detection techniques, delay in detection, asymptomatic cases and failure in mass screening. In the last two years, several researchers and medical companies have introduced successful test kits to detect the infection of symptomatic patients in real-time, and it was needed to monitor the spreading. But it is equally important to have information on the asymptomatic cases, which can be done by antibody testing for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus.
We have developed a simple, advantageous immobilization procedure for rapidly detecting SARS-CoV-2 spike protein in this work. Carbon-MEMS-derived glassy carbon (GC) is used as the sensor electrode, and the detection is based on covalently linking the SARS-CoV-2 antibody to the GC surface. Glutaraldehyde was a cross-linker between antibody and glassy carbon electrode (GCE). The binding was investigated using Fourier Transform Infrared Spectroscopy (FTIR) characterization and cyclic voltammetric (CV) analysis. Electrochemical impedance spectroscopy was utilized to measure the change in total impedance before and after incubation of the SARS-CoV-2 antibody with various concentrations of SARS-CoV-2 spike protein. It is observed that the developed sensor can sense 1 fg/ml to 1 µg/ml concentration of SARS-CoV-2 spike protein. This detection is label-free, and the chances of false alarm are almost nil. The developed sensor can be used for mass screening as it is cost-effective.
Analysis of concentration of trace elements in blood of Polish patients with prostate cancer
Authors: Drozdz-Afelt Joanna Maria , Koim-Puchowska Beata , Kaminski Piotr 
Published: August 2022

Abstract
Aims: The goal of the study was to analyse the concentrations of chemical elements (Fe, Ni, As, Cd, Pb, Hg, Cr, Zn) which are important for the determination of environmental toxins (e.g. resulting from smoking, exposure to harmful agents at work) in Polish patients with prostate cancer.Methods: The study covered 66 patients with diagnosed prostate cancer and 64 healthy volunteers over 50 years old. The analysis of the concentrations of selected chemical elements in whole blood was performed using inductively coupled plasma mass spectrometry (ICP-MS).Results: In their blood, the patients with cancer had a significantly higher concentration of only one of the examined elements: arsenic. Additionally, the study group had lower concentrations of chromium, zinc, but also cadmium and lead, which are commonly regarded as carcinogenic.Conclusion: Taking into consideration the control group of healthy subjects of this study, we can assume that the subjects with prostate cancer were exposed to higher levels of arsenic, and that exposure to this element may be associated with an increased risk of cancer.
Proteomic Analysis of Glucose-Induced Cardiac Myoblasts and the
Potential Role of mir-92b-5p in Regulating Sarcomere Proteins Under a
Hyperglycemic Environment
Authors: Mathur Priyanka , Rani Vibha 
Published: August 2022

Background:
Diabetes mellitus, a common metabolic disorder that causes high blood
glucose, is due to impaired insulin secretion. Prolonged high blood sugar is associated with heart
disease. Many proteins are involved in metabolic pathways and contractility of cardiac cells regulate
cardiac hypertrophy, altering normal cardiac physiology and function. Moreover, microRNAs are
essential regulators of these proteins. Thus, there is a need to study the protein and microRNA
alterations in cardiomyocytes to better understand the mechanisms activated during cardiac stress.

Objective:
The study aims to profile differentially expressed sarcomere proteins in H9C2 cell lines
under high glucose conditions compared with normal conditions, along with the identification of
miRNAs regulating these proteins.

Methods:
Cardiac myoblast cell lines were treated with D-Glucose at three concentrations (10 mM,
25 mM, and 50 mM). Total cell protein was analyzed by Tandem Mass spectrometry Nano LCMS/
MS. Furthermore, next-generation sequencing data were analyzed for detecting microRNAs
regulating cardiac cell protein expression. Bioinformatics databases such as Uniprot, Ingenuity
Pathway Analysis (IPA), PANTHER, and Target scan were used.

Results:
The Nano LC-MS/MS analysis showed 2891 protein, 1351 protein groups, and 4381
peptide groups in both glucose-treated and control samples. Most proteins were metabolite
interconversion enzymes, translation proteins, and proteins regulating the cytoskeleton. IPA
analysis revealed differentially expressed proteins involved in EIF2 signaling, actin cytoskeleton
signaling, cardiac fibrosis, and cell death. Moreover, the proteins troponin, tropomyosin, myosin,
alpha-actin, and ATP synthase were found to be downregulated, thus responsible for altering
sarcomere protein expression. Rno-mir-92b-5p was observed to be highly upregulated at 50 mM.
Its target genes namely TPM2, ATP1A2, and CORO1C were mostly components of the sarcomere
complex and its regulators.

Conclusion:
A combination of proteomic profile and microRNA profile of hyperglycemic cells
provides an insight into advanced therapeutics. Our study has highlighted the role of sarcomere
proteins, activation of Eukaryotic Initiation Factor 2 (EIF2) signaling, and suppression of actin
cytoskeleton signaling in the pathophysiology of cardiomyopathy. MiR-92b-5p has an important
role in regulating sarcomere protein complex activated.
Mitochondrial Translocation of P66Shc Aggravates Cisplatin-induced
AKI by Promoting Ferroptosis
Authors: Yang Ming , Liu Yu-ting , Han Ya-chun , Zhang Wei , Zhang Hao , Yang Shikun 
Published: August 2022

Objective:
To evaluate the regulatory mechanism between P66Shc and ferroptosis in cisplatin-induced acute kidney injury (CP-AKI).

Method:
A CP-AKI model was constructed both in vivo and in vitro using C57BL/6 mice and HK-2 cells, respectively. Renal histopathological injury, reactive oxygen species(ROS), and apoptosis were detected. Some parameters of ferroptosis (e.g. 4HNE and GPX4) and the expression of P66Shc/ P-P66Shc both in mitochondria and cytoplasm were tested. In in vitro studies, HK-2 cells was incubated with CP (50 uM), additionally, Fer1 and P66Shc siRNA were applied to explore the molecular regulatory mechanism of P66Shc in ferroptosis. The levels of mitochondrial ROS, apoptosis and the expression of 4HNE,GPX4, P66Shc, and P-P66Shc were tested. Furthermore, the mitochondrial translocation of P66Shc was detected.

Results:
CP treatment caused elevation of Scr, BUN and renal MDA levels, and decreased renal SOD, GSH-PX and GPX4 levels. CP enhanced the expression of 4HNE, P66Shc and P-P66Shc both in vivo and in vitro. Renal oxidative stress and apoptosis were significantly increased in CP-AKI mice. Electron microscopy examination indicated obvious mitochondria injury in renal tubular cells of CP-AKI mice. The level of ferroptosis and the translocation of P-P66Shc from the cytoplasm to mitochondria were significantly increased in HK-2 cells under CP condition, and these effects were obviously blocked by P66Shc siRNA treatment. Conversely, pretreatment with the ferroptosis inhibitor (Fer1) had no effect on the expression and mitochondria translocation of P-P66Shc under CP condition.

Conclusion:
Mitochondrial translocation of P66Shc could result in mitochondrial injury and lipid peroxide accumulation, which ultimately led to ferroptosis and aggravated CP-induced AKI.
Identification of Chemokines-Related miRNAs as Potential Biomarkers in
Psoriasis Based on Integrated Bioinformatics Analysis
Authors: Zhuang Haojun , Wang Xiaoming , Guo Meiliang , Meng Qinqin , Liu Na , Wei Min , Shi Yuling , Deng Hui 
Published: August 2022

Background:
Psoriasis is an immune-mediated skin disorder caused by the proliferation
of keratinocytes. Although psoriasis is generally diagnosed based on clinical manifestations, sensitive
biomarkers are needed to help diagnose psoriasis early with atypical presentations. MicroRNAs play a
functional role in the development of psoriasis, and they are stable and suitable as biomarkers in psoriasis.

Material and Methods:
The GSE50790 and GSE53552 datasets from the Gene Expression Omnibus
(GEO) database were used to identify Differentially Expressed Genes (DEGs) between the control
group and the lesional group. DEGs were processed for enrichment analysis to explore the functions,
and a Protein-Protein Interaction (PPI) network was constructed to obtain gene clusters. The
signalling pathway associated with gene cluster 1 was processed to further identify related genes.
Hub genes were obtained through the intersection of cluster 1 and the related genes. Hub genes were
used to predict the miRNAs through a gene-miRNA interaction network. The relative expression of
miRNAs was measured by qRT-PCR to identify the suitability of miRNAs as biomarkers.

Results:
Bioinformatics analysis revealed that the chemokine signalling pathway is involved in the
development of psoriasis. Five related miRNAs were mined from the datasets, and qRT-PCR
showed that hsa-miR-612 (p=0.0015), hsa-miR-3194-5p (p=0.0078) and hsa-miR-4316 (p<0.0001)
may be potential biomarkers in psoriasis.