bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of p-n CoO-ZnO Heterojunction for Enhanced Visible-Light Assisted Photodegradation of Methylene Blue
Authors: Saeed Muhammad , Adeel Muhammad , Khan Iltaf , Akram Nadia , Muneer Majid 
Published: July 2021

Abstract
The synthesis of p-n heterojunction has received much attention in the eradication of organic pollutants from water. In this study, p-n CoO-ZnO heterojunction is reported as an efficient visible-light-driven photocatalyst for degradation of methylene blue. The formation of CoO-ZnO was determined by XRD, XPS, UV-vis DRS, SEM, and EDS analyses. The p-n CoO-ZnO prepared by precipitation method showed an enhanced photocatalytic activity under the irradiation of visible light compared to ZnO. A 100 mg/L methylene blue is degraded almost completely within 2 hours under visible irradiation. The enhanced photocatalytic efficiency is attributed to the synergistic effect of p-n heterojunction that dramatically reduces the recombination of holes and electrons initiated by irradiation. The role played by hydroxyl radicals in photodegradation of methylene blue was determined by photoluminescence emission and fluorescence spectroscopy.
Single-Nucleotide Polymorphism of rs11061971 (+219 A&gt;T) in Adiponectin Receptor 2 (AdipoR2) Gene and Its Association with Risk of Type 2 Diabetes Among an Iranian Population ​
Authors: Tahani Masoud , Goodarzi Mohamad Taghi , Ahmadi Ali Asghar , Hasani Mohammad Hossein , Farrahi Alireza , Selakjani Akram Mehrzad 
Published: August 2021

Abstract
Genetic modifications in the adiponectin receptor 2 (AdipoR2) gene can affect phenotypes associated with insulin resistance and diabetes. The purpose of this study was to evaluate the possible role of genetic modifications in the AdipoR2 gene, to determine the frequency of genotypes and polymorphism alleles of this gene at rs11061971 (+ 219 A > T), and to investigate its correlation with type 2 diabetes (T2D) and its related metabolic profile. In this case-control study, the single-nucleotide polymorphism (SNP) of interest in 116 T2D patients and 102 controls was evaluated using RFLP PCR and FOK 1 enzyme. Fasting blood sugar, cholesterol, triglyceride, insulin, HDL-C, LDL-C and HbA1c were also measured and their correlation with the studied genetic modifications was assessed. The collected data were analyzed using Chi-square test and Hardy-Weinberg equation. There was a significant association in AT and TT genotypes in rs11061971 (+ 219 A > T) with T2D. However, no significant difference was observed in the frequency of alleles between the case and control groups. In addition, in LDL-C and total cholesterol in the control group, there was a significant difference between AA and TT genotypes as well as with AA and AT genotypes. However, no correlation was found between the other serum studied parameters and the genotype of individuals in the rs1106197171 polymorphism. The role of rs11061971 (+ 219 A > T) polymorphism in T2D incidence seems to be strong. This study showed that AT and TT genotypes versus AA genotype increase the risk of diabetes.
Rapamycin Attenuated Podocyte Apoptosis Via Upregulation of Nestin in Ang II-Induced Podocyte Injury
Authors: Shi Huimin , Zhao Yajie , He Tiantian , Wen Xianli , Qu Gaoting , Li Shanwen , Gan Weihua , Zhang Aiqing 
Published: August 2021

Abstract
Background: Angiotensin II (Ang II) contributes to the progression of glomerulosclerosis mainly by inducing podocyte injury. Convincing evidence indicates that the mTOR inhibitor rapamycin plays a fundamental role in the protection of podocyte injury. Nestin, a major cytoskeleton protein, is expressed stably in podocytes and correlates with podocyte damage. The purpose of this study was to investigate the effect of rapamycin in podocyte injury induced by Ang II, and clarify the role and mechanism of Nestin in the protection of podocyte injury.Methods and Results: We established an Ang II perfusion animal model, and the effects of interfere treatment of rapamycin on podocyte were detected in vivo. In vitro, podocytes were stimulated with Ang II and rapamycin to observe podocyte injury, nestin-siRNA was transfected to investigate the mechanism in the process. We observed that Ang II induce podocyte injury both in vivo and in vitro, while rapamycin treatment relieved Ang II-induced podocyte injury. Also we found that nestin co-localized with p-mTOR in glomeruli, and the protection effect of rapamycin was reduced by nestin-siRNA in podocytes. Moreover, co-IP indicated the interaction between nestin and p-mTOR, and nestin could affect podocyte injury via mTOR/P70S6K signaling pathway.Conlusion: Thus, here, we demonstrated that Rapamycin attenuated podocyte apoptosis via upregulation of nestin through mTOR/P70S6K signsling pathway in Ang II-induced podocyte injury.
Performance, Carcass Characteristics, Cardio-Pulmonary Morphometry, Gut-Morphology, Fatty Acid Profile and Humoral Immunity of Commercial Broiler Birds Fed Diet Supplemented with Blended Fish Protein
Authors: Hossain Md Emran , Akter Nasima , Barua Karabi , Podder Sonnet , Hoque Md. Ahasanul 
Published: August 2021

Abstract
A 35-day trial was conducted to explore if different sources of dietary proteins at varying levels of metabolizable energy had any effect on the average daily feed intake (ADFI), average daily gain (ADG), feed efficiency (FE), carcass characteristics, cardio-pulmonary morphometry, gut morphology, profile of unsaturated fatty acid (UFA), saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA) and humoral immunity of the broiler birds. Total 288 Ross-308 day old male broiler birds were randomly distributed in four dietary treatment groups in a 2×2 factorial arrangement (Two different sources of proteins, i.e., plant and animal with two different levels of metabolizable energy, i.e., low and high). Each treatment had nine replicates containing eight birds per pen. Results indicated that, the supplementation of blended fish protein substantially increased (p<0.001) the final body weight and decreased (p<0.001) the ADFI at 1-14 d, 15-35 d and 1-35 d compared with plant protein. The ADG increased at 1-14 d (p<0.001), 15-35 d (p<0.05) and 1-35 d (p<0.05) and the FE improved (p<0.001) at 1-14 d, 15-35 d and 1-35 d. Similarly, the high energy diet significantly increased (p<0.001) the final body weight and decreased the ADFI at 1-14 d (p<0.001), 15-35 d (p<0.05) and 1-35 d (p<0.05) compared with low energy diet. The ADG increased (p<0.001) and the FE improved at 1-14 d, 15-35 d and 1-35 d. The animal protein increased the thigh weight (p<0.01), the neck weight (p<0.05) and the ratio (p<0.001) of ∑UFA:∑SFA and ∑PUFA:∑MUFA in the breast muscles of the broiler birds. The GLM identified no interaction effect (p>0.05) of energy and protein on the ADFI, ADG, FE, cardio-pulmonary morphometry and humoral immunity of the broiler birds against Newcastle and Infectious Bronchitis diseases. The RV:TV remained within standard range indicating no symptoms of cardiac dysfunctions. It was concluded that the fishmeal supplemented high energy diet improved weight gain, feed efficiency and meat quality of broiler by increasing ∑ω-3 and ∑ω-7 fatty acids as well as the ratio of ∑ω-3:∑ω-6, ∑UFA:∑SFA and ∑PUFA:∑MUFA in the breast muscles of the broiler birds.
DLSTM-HHO: Enhanced Deep Learning Framework for Malware Detection at the Edge of the Iot System
Authors: D Santhadevi , B  
Published: August 2021

Abstract
Internet of Things (IoT) technology has a dynamic atmosphere due to incorporating multiple smart peripherals, which provide autonomous homes, cities, manufacturing industries, medical domain, etc.; however, a threat by cyber security is still at constant risk, and it gets much attention in researches. Cyber issues in the IoT environment are usually coming due to intruder’s malware activity. This kind of malware affects the confidential data of users in the IoT environment. In this research, a novel framework is implemented with the association of an improved deep LSTM with Harris Hawk Optimization (DLSTM-HHO). This framework is highly improved by adopting an Apache Spark technique for pre-processing IoT dataset. An Apache Spark replaces the traditional data pre-processing, which provides more efficiency to this model for detecting the malware at the edge of the IoT environment. The implementation of this framework is done in the MATLAB2020a platform with Apache Spark. The proposed model provides better performance evaluation in terms of accuracy is at 98%, and the F1-Score at 98.5%.
Chronic Pseudophakic Endophthalmitis After Uneventful Phakoemulsification: A Case Series and Review of Litterature
Authors: Mili Ilhem Nicolle , Braham Imene Zhioua , kaouel Hela , Ammous Imen , Errais Khalil , Boukari Mejdi , Zhioua Raja 
Published: August 2021

Abstract
Purpose: To report a retrospective case series of patients with chronic post operative endophthalmitis (CPE) after uneventful phacoemulsification (PKE) with intraocular lens (IOL) implantation. Methods: this study was conducted between January 2011 and June 2020, including patients with delayed-onset endopthalmitis occurring at least 2 weeks after uneventful PKE+IOL. Diagnosis was based on typical clinical features associated or not to proven sample culture. Treatment was based on step-by-step management, depending on results of microbiology and response of treatment. It consisted in first line medical treatment with a two-approach intraocular and systemic antiobiotics, followed, if necessary, by a second line conservative-IOL surgical treatment with pars plana vitrectomy (PPV), and a third line non-conservative-IOL surgical treatment with re-PPV associated to IOL explantation. Results: Seven patients were included with a mean age of 62,5 years. Mean duration interval between cataract surgery and diagnosis of CPE was 31,3 weeks. All patients presented a decrease of visual acuity with white intracapsular plaques. Only one patient had positive IOL culture. Medical treatment was sufficient in three cases. In the four other cases, PPV with IOL explantation and total capsular bag removal was conducted. Mean final BCVA was 20/160 with a gain of 4 lines and was ≥ 20/40 in 4 cases. Conclusion: The diagnosis of CPE is still challenging especially for difficulties in isolating microorganisms. It should always be considered in cases of recurrent ocular inflammation resistant to conventional treatment in operated eyes. Non-conservative IOL surgical treatment may be directly necessary in severe cases.
Echocardiography Segmentation by Fractional Differential and Improved Canny, Analysis by Fourier Descriptor
Authors: Wang Weixing , Vimlund Vivian , Hu Keli 
Published: August 2021

Abstract
The omnidirectional M-mode echocardiogram provides a new method for human heart functional analyses. In this article, to sharpen object edges, we designed image processing kernel based on Fractional differential for image enhancement. After that, the contour of the left ventricle in a short axis is first extracted using both an improved Canny edge detection algorithm and the gray level searching algorithm in the radial direction as auxiliary. The modified Canny edge detection algorithm with the matching method between adjacent frames then is adopted for the subsequent frames to extract the left ventricular contours. The non-functional movements in the B-ultrasonic plane are determined by using the movement extracting method based on Fourier descriptors and the mass center with the inertia axis method, and the movements are removed from a compound motion. The Fourier descriptors are applied to get a series of image contour curves with the principal translation and rotation. Hence the curve of the cardiac motion can accurately show functional movements in any location of the heart. Using our technique, we can reduce multi-lines and excursion, as well as correct the omnidirectional M-mode echocardiography.
Energy Optimization using Swarm Intelligence for IoT-Authorized Underwater Wireless Sensor Networks
Authors: Gavali Ashwini , Vaze Vinod M , Ubale S A 
Published: August 2021

Abstract
The technology advancement in the Internet of Things (IoT) enables a variety of smart monitoring applications assisted by networks like Wireless Sensor Networks (WSNs) and Underwater WSNs (UWSNs). The IoT-UWSNs supported a wide range of applications such as underwater data collection, underwater equipment monitoring, underwater imaging, etc. The acoustic signals have been utilized for communication in IoT-UWSNs over radio signals and optical signals. Data transmission using acoustic signals is suffering from lower throughput, excessive energy consumption, long transmission delay, and lower network lifetime. Several data forwarding and clustering algorithms have recently been proposed to enhance UWSN's performances. This paper proposed a novel routing solution for energy and QoS-efficient data transmission from the underwater sensor node to the surface sink using Swarm Intelligence (SI). This protocol called Energy Optimization using Routing Optimization (EORO) protocol. To optimize the UWSNs performance, we used Effective Fitness Function-based Particle Swarm Optimization (EFF-PSO) to select the best forwarder node for data transmission. In EORO, forwarding relay nodes discovered by the intended source node using location information firstly. Then EFF-PSO algorithm is applied to select the optimal relay node considering the rich set of parameters. Four parameters of each forwarder node used for fitness computation as residual energy, packet transmission ability, node connectivity, and distance. These parameters are intelligently selected to avoid packet collisions to achieve energy consumption and delay reduction with higher throughput. An experimental result shows that the EORO protocol outperformed underlying routing techniques using throughput, energy consumption, delay, and Packet Delivery Ratio (PDR).
The Anti-Inflamatory Effect of Andira Anthelmia Lectin In Rats Involves Inhibition of The Prostanoid Pathway, TNF-α And Lectin Domain
Authors: Nascimento Francisco Lucas Faustino do , Pires Alana , Mota Mário , de Araujo Diego , Martins Maria Gleiciane , Moreira Cleane , Cajazeiras João , Cavada Benildo , Nascimento Kyria do , Assreuy Ana Maria 
Published: July 2021

Abstract
Objective: To investigate the effect and mechanisms of Andira anthelmia lectin in rat models of acute inflammation.Material: AAL anti-inflammatory activity was evaluated in Wistar rat models of paw edema, peritonitis and hyperalgesia.Methods: AAL (0.01-1 mg/kg i.v.) was injected 30 min before stimulation with carrageenan and with initial and late phase inflammatory mediators into the animals paw and peritoneum for evaluation of: cell migration (optical and intravital microscopy), paw edema (plethysmometry and histopathology); hyperalgesia (analgesimetry).Results: AAL inhibited leukocyte migration induced by carrageenan, mainly neutrophils to the peritoneal fluid, decreasing leukocyte adhesion. In the peritoneal fluid, AAL reduced the gene expression of TNF-α and cyclooxygenase, as well the levels of PGE2. ALL also inhibited the paw edema induced by carrageenan, mainly the late phase, but also the edema induced by serotonin, histamine, TNF-α, PLA2 and PGE2, but not by L-arginine and bradykinin. In this model, AAL inhibited mechanical hypernociception induced by TNF-α, PGE2, db-cAMP and capsaicin, and the activity of myeloperoxidase in the paw tissues.Conclusion: AAL presents anti-inflammatory effect in acute models of rat inflammation involving the participation of prostaglandins, TNF-α and lectin domain.
The Relationship Between Peak Inspiratory Flow and Hand Grip Strength Measurement in Men with Mild Chronic Obstructive Pulmonary Disease
Authors: Tsuburai Takahiro , Komase Yuko , Tsuruoka Hajime , Oyama Baku , Muraoka Hiromi , Hida Naoya , Kobayashi Takayuki , Matsushima Shinya 
Published: August 2021

Abstract
Backgrounds: Chronic obstructive pulmonary disease (COPD) decreases quality of life and muscular strength. Inspiratory flow is important for inhalants in the bronchi but is complicated to measure in routine practice. We hypothesized that hand grip strength (HGS) would correlate with inhalation rate in patients with mild COPD.Methods: The COPD patients were recruited at the St. Marianna University School of Medicine, Yokohama Seibu Hospital, from 2015 to 2018. We measured peak inspiratory flow (PIF) through an In-Check flow meter attached with Diskus [PIF(D)] and Turbuhaler [PIF(T)] inhalers. The 6-minute walking test (6MWT), and the fraction of exhaled nitric oxide (FENO), spirometry, HGS, or forced oscillation technique (FOT) parameters were measured.Results: Forty-four subjects were enrolled. All were men, with a mean age (± SD) of 77.8 ± 9.36 years. Thirty-nine patients had mild COPD. PIF(D) was 110 (80, 140) L/min (median, interquartile range), PIF(T) was 80 (70, 90) L/min, and HGS was 28.7 (13.8, 43.6) kgf. PIF(D) and PIF(T) were significantly correlated (r = 0.443, p = 0.003). PIF(D) was significantly correlated with age (r = − 0.327, p = 0.030) and HGS (r = 0.326, p = 0.031). PIF(T) was significantly correlated with age (r = − 0.328, p = 0.030), FVC (r = 0.351, p = 0.019), 6MWT distance (r = 0.392, p = 0.011), and HGS (r = 0.328, p = 0.030).Conclusion: HGS might be more useful for predicting PIF than other parameters. Also, elderly COPD patients need to be taught inhaled methods carefully.
Design of Broadband Infrared Photodetectors Enhanced by Dual-Mode Plasmonic Resonant Cavities
Authors: Du Jiayuan , Zhao Xinyu , Sun Xiaodong , Zeng Jinyao , Hu Xinhua 
Published: August 2021

Abstract
The signal-to-noise ratio of infrared photodetectors can be improved by using resonant cavities, whereas the enhancement effect usually occurs in a narrow wavelength range. Here, we propose a dual-mode plasmonic resonant cavity which can enhance the performance of infrared photodetectors in a wide range of wavelengths from 3.5 μm to 5.5 μm. The optical cavity consists of an Au grating, an ultrathin (310 nm) detective layer of mercury cadmium telluride, and an Au film, which can exhibit nearly perfect absorption at resonant wavelengths with using optimal parameters. For the target wavelength range, the wavelength-averaged absorption in the detective layer can also be 62%, about 12 times of that without the resonant cavity. Such a high enhancement of absorption can occur for incident light in a broad range of angle (θ < 45⁰) and with different polarizations.
KCNQ1OT1 Knock Down Alleviates Hyperosmlity Induced Dry Eye Disease via Inhibiting NLRP3 Inflammsome Activation and IL-1β Release
Authors: Li Xuran , Zhang Yanyan , Li Xinyue , Yu Yu , Jin Xin , Zhang Hong 
Published: August 2021

Abstract
Background. Long noncoding RNAs (lncRNAs) have been indicated that participate in inflammatory diaeases and age related diseases by regulating physiological and pathological processes directly or indirectly. Evidences have indicated lncRNAs might be involving in dry eye disease which can cause pathological changes of cornea and conjunctiva in ocular surface though inflammatory response. KCNQ1OT1 is a novel lncRNA, whose function remains totally unclear.Methods. qRT-PCR was performed to detect the expression of KCNQ1OT1, miR-214 and inflammasome-related genes NLRP3, caspase1 and IL-1β. Western blotting was carried out to detect inflammasome-related markers. The dry eye disease (DED) model was set up by scopolamine hydrobromide though subcutaneous injection. Bioinformatics was used to predict and validate the interaction between KCNQ1OT1 and miR-214 as well caspase1 and miR-214.Results. KCNQ1OT1 was significantly up-regulated during the process of DED while miR-214 was contrarily down-regulated. Knockdown of KCNQ1OT1 promoted cornea epithelial cells migration and down-regulated inflammasome-related genes. It was also confirmed that KCNQ1OT1 directly interacted with miR-214. Meanwhile, miR-214 could bind to 3'UTR of caspase1 and therefore inhibited its expression. Furthermore, co-transfection of miR-214 inhibitor could rescue the down-regulation of cell migration induced by KCNQ1OT1 knockdown.
Construction and Validation of an Immune-related lncRNA Prognosis Model in Thyroid Cancer
Authors: Li Zheng , Wang Hui , Deng Xia , Zhang Jing , Tang Wanyan , Wang Ling , You Wenxin , Nian Weiqi 
Published: August 2021

Abstract
Background A growing number of studies have shown that immune-related long non-coding RNAs (lncRNAs) play an important role in the development of cancer. The aim of this study was to identify immune-related lncRNAs in thyroid cancer (THCA) and to develop a prognostic model for THCA. Methods We downloaded immune-associated gene sets from the Gene Set Enrichment Analysis (GSEA) website and obtained THCA gene expression and clinical data from The Cancer Genome Atlas (TCGA) database. Immune-related lncRNAs were then obtained by performing a correlation analysis of the expression of lncRNAs and immune-related genes. Prognostic models for THCA immune-related lncRNAs were developed by univariate Cox regression and multiple Cox regression analysis. We confirmed the results in clinical samples using quantitative reverse transcription polymerase chain reaction (qRT-PCR).Results26 immune-related lncRNAs in THCA were obtained. Then we constructed a prognosis model composed of 7 lncRNAs (LINC01614, AC017074.1, LINC01184, LINC00667, ACVR2B-AS1, AC090673.1, LINC00900). Our model could be used as an independent prognostic factor. Principal component analysis displayed that the lncRNAs in the model can distinguish between high-risk and low-risk groups. Clinical correlation analysis showed that the expression levels of AC090673.1 (P<0.05), LINC01184 (P<0.001), LINC01614 (P<0.001) were related to disease stage, LINC00900 (P<0.001), LINC01614 (P<0.001) were related to the T stage of THCA. We validated this model in the cancer and paracancerous tissues from 24 THCA patients.ConclusionsWe identified seven immune-related lncRNAs as potential biomarkers for the prognosis of THCA.
Identification of Key Genes and Pathways in Hypertrophic Cardiomyopathy via Weighted Gene Co-Expression Network Analysis
Authors: Hua Yang , Sun Jin-Yu , Xin Ziling , Sun Wei , Sheng Yanhui , Kong Xiang-Qing 
Published: August 2021

Abstract
BackgroundHypertrophic cardiomyopathy (HCM) is a prevalent cardiovascular disease characterized as asymmetric hypertrophy of ventricular muscles. Cardiac morphological abnormality may result in slight or severe cardiopulmonary symptoms, arrhythmia, heart failure, and even sudden death. Previous studies have shown that HCM was an inherited disease where sixty percent carry mutations in genes encoding sarcomere proteins. However, considering heterogeneous phenotype or prognosis, the underlying mechanisms remain unclear.MethodsThe gene expression profiles of GSE36961 and GSE160997 were analyzed by ‘limma’ and ‘weighted gene co-expression network analysis (WGCNA)’ package in R to identify differentially expressed genes (DEGs) and key modules, respectively. Then, enrichment analysis was performed based on Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Protein-protein interaction network was constructed based on the overlapped genes of DEGs and key modules, and we identified the top 4 hub genes using ‘cytohubba’ according to inner connectivity.ResultsWe identified the red and brown modules as the key modules. Enrichment analysis showed that cellular divalent inorganic cation homeostasis, collagen−containing extracellular matrix, and actin binding were significantly enriched. VSIG4, CD163, FCER1G, and LAPTM5 were identified as hub genes.ConclusionsThis study suggested that VSIG4, CD163, FCER1G, and LAPTM5 might be hub genes associated with the progression of HCM. Further studies are required to elucidate the underlying mechanisms and provide potential therapeutic targets.