bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel step-scheme WS2/BiYWO6 heterostructure for enhanced photocatalytic degradation performance towards the degradation of organic pollutant
Authors: Bavani Thirungnanam , Sasikala Parthasarathy , Arumugam Swaminathan , Malathi Arumugam , Praserthdam Piyasan , Madhavan Jagannathan 
Published: August 2022

Abstract
Constructing S-scheme heterojunction between two semiconductor materials is an effective route to increase the photocatalytic degradation efficiency. Here, a novel S-scheme WS2/BiYWO6 heterojunction photocatalyst was prepared by wet chemical route. At the same time, the photocatalytic degradation performance of the fabricated materials was analyzed by the degradation of Rhodamine B under visible light. Of all prepared WS2/BiYWO6 composites, the 20 wt. % WS2 loaded WS2/BiYWO6 composite exhibited an enhanced photocatalytic degradation ability than other prepared photocatalysts. Here, O2.− and .OH radicals are performing a pivotal role in the Rhodamine B degradation and the optimized composite shows 1.06- and 1.119-times greater photocurrent intensity than pure BiYWO6 and WS2 respectively. Also, the synthesized photocatalyst maintains its stability with negligible changes even after three cycles. Thereby, the constructed S-scheme WS2/BiYWO6 heterojunction is a potential material for the wastewater remediation.
Neural network-based adaptive reliable control for nonlinear Markov jump systems against actuator attacks
Authors: Zhang Junye , Liu Zhen , Jiang Baoping 
Published: August 2022

Abstract
In this paper, the reliable control problem for a type of uncertain Markov jump systems (MJSs) subjected to actuator failures (AFs), malicious attacks (MAs) and partially unknown transition rates (PUTRs) is under consideration. Since the MAs usually appear as unknown nonlinear signals, the adaptive neural network (ANN) and sliding mode control (SMC) method are introduced for eliminating them in this work. Aiming at tackling the actuator partial failures, a new sliding mode controller is developed to compensate for the faults and further confirm that the system trajectory can be moved onto the devised sliding mode surface (SMS) in finite time and remain the expected performance, in the light of the ANN technique. Subsequently, the analysis process of stochastic stability of the sliding motion is carried out under the case of uncertain PUTRs. Finally, the F-404 aircraft engine model as a simulation example of the investigated system is selected to verify the feasibility of the design method.
Clinical Characteristics and Outcome of Dural Arteriovenous Fistulas Secondary to Cerebral Venous Sinus Thrombosis: a primary or secondary event？
Authors: Huang Xiaoqin , Shen Huixin , Fan Chenqiu , Chen Jian , Meng Ran 
Published: August 2022

Abstract
Background
The Dural Arteriovenous Fistulas (DAVFs) secondary to cerebral venous sinus thrombosis (CVST) are rather rare. The aim of present study is to investigate the clinical and radiological features, and treatment outcome of DAVFS in patients following CVST.
Methods
Data about demographic information, clinical presentations, radiological findings, as well as treatment and outcome of DAVFs sequence to CVST were collected to analysis from January 2013 to September 2020 in this retrospective study.
Results
Fifteen patients with DAVFs after CVST were included in the study. The median age was 41 years (range17-76 years). Ten patients (66.67%) were male and 6 patients (33.33%) were female. The median duration of presenting CVST was 182 days (Range 20–365). Mean time from diagnosis of CVST to confirmation of DAVFs was 97 days (range 36–370 days). The most common manifestations of DAVFs following CVST were headache and visual disturbance seen in 7 patients respectively. Five patients had pulsatile tinnitus (%) and 2 had nausea/vomiting. The DAVFs are most frequently located at the transverse/sigmoid sinus (7/15, 46.67%), followed by the superior sagittal the sinus and confluence sinus (6/15, 40.00%) respectively. Angiography of DAVFs revealed Board type I in seven (46.7%) patients, Board type II and III in 4(26.7%) patients, respectively. The Cognard I was noted in seven (46.7%), Cognard IIa and IV in 3 patients, IIb and III in one patient, respectively. The main feeding arteries of DAVFs most commonly originate from the branches of the external carotid artery in 6 (40.0%) patients. The other DAVFs are conjointly supplied by multiple feeders from internal and external carotid artery and vertebral arteries. Fourteen (93.33%) patients were treated with endovascular embolization and none of the patients had permanent deficits during follow-up.
Conclusions
Intracranial DAVFs following CVST are rare presentations. Most patients have a good outcome after timely interventional therapy. Continued observation and follow-up of (DSA) are important to find DAVFs secondary to CVST.
Implementation of hyperspectral imaging in a trauma resuscitation room – a randomized controlled trial
Authors: Katzenschlager Stephan , Dietrich Maximilian , Peterstorfer Franziska , Manten Katharina , Forst Maik von der , Behnisch Rouven , Leowardi Christine , Studier-Fischer Alexander , Nickel Felix , Weigand Markus A. , Weilbacher Frank , Popp Erik 
Published: August 2022

Abstract

Background: Hyperspectral imaging (HSI) is a novel imaging technology with the ability to assess microcirculatory impairment. We aimed to assess feasibility of performing HSI, a noninvasive, contactless method to assess microcirculatory alterations, during trauma resuscitation care.Methods: This randomized controlled clinical trial was conducted in a dedicated trauma resuscitation room of a level one trauma center. We included adult patients who were admitted to the trauma resuscitation room. Patients were allocated in a 1:1 ratio to the HSI group (intervention) or control group. In addition to the standard of care, patients in the intervention group had two hyperspectral recordings (HSR) of their hand palm taken. Primary outcomes were the treatment duration of the primary survey (until end of ABCDE-evaluation, ultrasound and evaluation by the trauma team) and the total resuscitation room care (until transport to definitive care) as well as the ability to perform measurements from all HSR. Secondary outcomes were analyses from the intervention group compared to HSI measurements of 25 healthy volunteers including an analysis based on the ISS (Injury severity score) (<16 vs. ≥16). Care givers, and those assessing the outcomes were blinded to group assignment.Results: Our final analysis included 51 patients, with 25 and 26 allocated to the control and intervention group, respectively. There was a statistically significant shorter median duration of the primary survey in the control group (03:22min [Q1 to Q3 03:00 to 03:51]) compared to the intervention group (03:59min [Q1 to Q3 03:29 to 04:35]) with a difference of -37 seconds (95% CI -66 to -12). Total resuscitation room care was longer in the control group, but without significance: 60 seconds (95% CI -60 to 180). From 52 HSI, we were able to perform hyperspectral measurements on all images, with significant differences between injured patients and healthy volunteers.Conclusion: HSI proved to be feasible during resuscitation room care and can provide valuable information on the microcirculatory state. Trial registration: DRKS DRKS00024047 – www.drks.de. Registered on 13th April 2021
Evaluation of the Antibacterial Activity of Dental Adhesive Containing Biocompatible Silver Nanoparticles Decorated Nano Graphene Oxide Nanocomposites (Ag@nGO NCs) and Its Effect on Bond Strength to Dentine
Authors: ARSLAN Soley , EKRİKAYA Semiha , ILDIZ Nilay , YUSUFBEYOĞLU Sadi , ÖÇSOY İsmail 
Published: August 2022

Abstract
Aim
The purpose of our study was to evaluate the antibacterial activities and dentin bond strengths of silver nanoparticles (Ag NPs) and silver nano-graphene oxide nanocomposites (Ag@nGO NCs) produced by green and chemical synthesis method added to dental adhesive.
Methods
Ag NPs were produced by green synthesis (B-Ag NPs) and chemical synthesis methods (C-Ag NPs) and deposited on nGO (nano-graphene oxide). Ag NPs and Ag@nGO NCs (0.05% w/w) were added to primer and bond (Clearfil SE Bond). Group 1: control, Group 2: nGO, Group 3: B-Ag NPs, Group 4: B-Ag@nGO NCs, Group 5: C-Ag NPs, Group 6: C-Ag@nGO NCs. S. Mutans live/dead assay analysis, MTT metabolic activity test, agar disc diffusion test, lactic acid production and colony forming units (CFUs) tests were performed. Bond strength values were determined by microtensile test. Failure types were determined by evaluating with SEM. Statistical analysis was performed using one-way ANOVA and two-way ANOVA (p < 0.05).
Results
There was a difference between the groups in the viable bacteria ratio and lactic acid production tests (p < 0.05). When the inhibition zone and S. Mutans CFUs were evaluated, there was no difference between Group 3 and Group 4 (p > 0.05), but there was a difference between the other groups (p < 0.05). When metabolic activity of S. Mutans was evaluated, there was a difference between Group 1 and other groups, and between Group 2 and Group 5 and Group 6 (p < 0.05). There was no difference between the groups in the microtensile bond strength values (p > 0.05).
Conclusion
Adhesives containing B-Ag NPs and B-Ag@nGO NCs provided sufficient antibacterial activity and did not reduce bond strength values.
Clinical Significance:
The addition of biocompatible B-Ag NPs and B-Ag@nGO NCs to the adhesive system increased the antibacterial effect by maintaining the bond strength of the adhesive. Antibacterial adhesives can increase the restoration life by protecting the tooth-adhesive interface.
Genetic variability predicting breeding potential of upland cotton (Gossypium hirsutum L.) for high temperature tolerance
Authors: Farooq Amjad , Shakeel Amir , Saeed Asif , Farooq Jehanzeb , Rizwan Muhammad , Chattha Waqas Shafqat , Sarwar Ghulam , Ramzan Yasir 
Published: August 2022

Abstract
Background
High temperature stress at peak flowering stage of cotton is a major hindrance for crop productivity. This study aimed to increase genetic divergence regarding heat tolerance in newly developed cultivars and hybrids. The fifty cotton genotypes and 40F1 were tested under field conditions following the treatments viz., high temperature stress and control at peak flowering stage during August and October under April and June sowing, respectively.
Results
The means squares revealed significant differences among genotypes, treatments, genotype×treatment for relative cell injury, chlorophyll contents, canopy temperature, boll retention and seed cotton yield. The genetic diversity among 50 genotypes was analyzed through cluster analysis and heat susceptibility index (HSI). Based on HSI and cluster analysis eight tolerant genotypes (FH-Noor, NIAB-545, FH-466, FH-Lalazar, FH-458, NIAB-878, IR-NIBGE-8 and Weal-AG-Shahkar) and five sensitive (CIM-602, Silky-3, FH-326, SLH-12 and FH-442) were selected for hybridization. The breeding material, 40F1 and 13 parents evaluated following line×tester design. Higher specific combining ability variances with dominance variances determined the non-additive gene action for all the traits. The best general combining ability effects for most of the traits were displayed by lines FH-Lalazar, NIAB-878 along with testers FH-326 and SILKY-3. Specific combining ability effects and better-parent heterosis were showed by crosses FH-Lalazar×SILKY-3, FH-Lalazar×FH-326, NIAB-878×SILKY-3 and NIAB-878×FH-326 for seed cotton yield and yield contributing traits under high temperature stress.
Conclusion
Consequently, heterosis breeding for non-additive type of gene action, may utilize the potential parents in different cross combinations to develop high temperature tolerance in local cotton cultivars and hybrids for improving seed cotton yield .
Job Stressors and Job Satisfaction in Taiwanese Nursing Assistants
Authors: Chiang Wen-Jen , Rosalind Pritchard , Chen Hsiao-Yu 
Published: August 2022

Abstract

Background: The purpose of the study was to explore the job stress and job satisfaction of nursing assistants (NAs) in Taiwan. The research took place in a public hospital where NAs were supplied by a contracting agency that tendered every two years for the business of supplying personnel. The performance of the NAs was appraised every month, with the results being subsequently reported to the contractor and to hospital administrators. The NAs had to tackle a wide range of complex tasks, resulting in a heavy workload with high pressure. They were paid 30,000 Taiwanese Dollars per month (about 836 GBP). Lack of employment protection sometimes resulted in high turnover rates with concomitant difficulty in recruiting new workers. Methods: This study adopted a cross-sectional research design and used the Minnesota Satisfaction Questionnaire in conjunction with the Chinese variant of the Job Content Questionnaire to explore the relationship between job satisfaction and job stressors of NAs. A total of 172 valid questionnaires were received, with an effective response rate of 89%; 84% of the respondents were female, and 71% of the sample possessed more than 6 years of professional experience. The data were statistically analyzed including SPSS For Windows 20.0, independent sample t-tests, and regression analysis to calculate the correlation between job stressors and job satisfaction. Results: Respondents’ level of intrinsic, extrinsic and general satisfaction was enhanced by “skill discretion” (i.e., job creativity), work autonomy and social support from management and colleagues. The nursing assistants in this study had relatively low job stress and high job satisfaction. Conclusions: Despite some encouraging findings, the unstable working environment of NAs constitutes a hidden worry for the development of long-term care in Taiwan. Social support is crucial to satisfaction; on-the-job training, and work in interdisciplinary teams, would help establish sustainable professional development; and a career path with promotion opportunities would further increase job satisfaction. Trial Registration: not applicable though ethical approval was granted for implementation of the study.
Imaging genetic association analysis of triple-negative breast cancer based on the integration of prior sample information
Authors: Ning Shipeng , Pan You , Ji Yinan , Huang Rong , Yang Huawei , Huang Qinghua 
Published: August 2022

Abstract
Triple-negative breast cancer (TNBC) is one of the more aggressive subtypes of breast cancer. The prognosis of TNBC patients remains low. Therefore, there is still a need to continue identifying novel biomarkers to improve the prognosis and treatment of TNBC patients. Research in recent years has shown that the effective use and integration of information in genomic data and image data will contribute to the prediction and prognosis of diseases. Considering that imaging genetics can deeply study the influence of microscopic genetic variation on disease phenotype, this paper proposes a sample prior information-induced multidimensional combined non-negative matrix factorization (SPID-MDJNMF) algorithm to integrate the Whole- solid image (WSI), mRNAs expression data, and miRNAs expression data. The algorithm effectively fuses high-dimensional data of three modalities through various constraints. In addition, this paper constructs an undirected graph between samples, uses an adjacency matrix to constrain the similarity, and embeds the clinical stage information of patients in the algorithm so that the algorithm can identify the co-expression patterns of samples with different labels. We performed univariate and multivariate Cox regression analysis on the mRNAs and miRNAs in the screened co-expression modules to construct a TNBC-related prognostic model. Finally, we constructed prognostic models for 2-mRNAs (IL12RB2 and CNIH2) and 2-miRNAs (miR-203a-3p and miR-148b-3p), respectively. The prognostic model can predict the survival time of TNBC patients with high accuracy. In conclusion, our proposed SPID-MDJNMF algorithm can efficiently integrate image and genomic data. Furthermore, we evaluated the prognostic value of mRNAs and miRNAs screened by the SPID-MDJNMF algorithm in TNBC, which may provide promising targets for the prognosis of TNBC patients.
Psychological distress and desire for professional support in gynecological cancer patients in an outpatient university setting
Authors: Rudolph Katharina , Brambs Christine E , Kiechle Marion , Nest Alexandra , Pichler Theresia , Paepke Daniela 
Published: August 2022

Abstract
Purpose Psychological distress affects many cancer patients; however, gynecological cancer patients face unique challenges. We therefore assessed the level of psychological distress and desire for psychosocial support as well as potential determinants of distress levels in 355 gynecological cancer outpatients.Methods Psychological distress was assessed by analyzing data from routine distress screening using the 10-item self-reporting Questionnaire on Stress in Cancer Patients – short form (QSC-R10). A question regarding their desire for psychosocial support was added. First time screenings completed from 11/2013 to 04/2018 were included (N = 355). We investigated prevalences regarding elevated distress and desire for support. Additionally, a multiple linear regression analysis regarding determinants of distress was calculated.Results At the time of data collection, 39.5% showed elevated levels of psychological distress. Overall, 9.9% indicated a desire for support. 7.1% of the patients with little or no distress indicated a desire for support, whereas 18.2% did so of patients with high distress. Younger age, shorter illness duration, a desire for support and progression of disease were significant determinants regarding elevated distress.Conclusion Regarding distress, particular attention needs to be payed to younger cancer patients, those with shorter illness duration or disease progression and patients expressing a subjective need for support. Distressed patients are more likely to express a desire for support; however, some objectively less distressed patients also indicated that desire. Future investigations should explore ways to improve psychosocial care offers for patients in need and focus on the discrepancy between normative and subjective needs for psychosocial support.
A novel prognostic model based on Prealbumin for predicting short-term prognosis of patients with HBV-related acute-on-chronic liver failure
Authors: Zhang Hao , Wang Qin , Jin Lei , Wang Ling-Mei , Fan Xing-Yu , Wang Xiu , Pan Fa-Ming , Zhou Qiang , Xu Yuan-Hong 
Published: August 2022

Abstract
Background
Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a clinical syndrome associated with a high short-term mortality rate, and accurate clinical decision-making requires an accurate assessment of prognosis. The purpose of this study was to develop a simple and effective prognostic model for predicting short -term mortality in HBV-ACLF patients.
Methods
We retrospectively enrolled 170 patients to develop and validate a novel prognostic model for predicting 30-day mortality in HBV-ACLF patients. Using univariate and multivariate logistic regression analysis, laboratory and clinical data were obtained to identify independent predictors of short-term mortality.
Results
We found the Prealbumin (PAB) level at admission was a strong independent predictor for 30-day mortality, with an AUROC of 0.760. The HIAPP score, a prognostic-score model based on five independent prognostic variables, including PAB, Platelet (PLT), international normalized ratio (INR), the occurrence of hepatic encephalopathy (HE), and age, was markedly lower in survivors than in non-survivors (-2.80 ± 0.21 vs 0.97 ± 0.41, P < 0.001). Additionally, the HIAPP score was positively and strongly correlated with the CLIF‐SOFA, MELD, and CLIF‐C ACLF scores. The AUROC value for the HIAPP score was 0.899, which was found to be superior to the MELD (AUROC = 0.795), CLIF‐SOFA (AUROC = 0.731), and CLIF‐C ACLF (AUROC = 0.700) scores for 30‐day mortality. These findings were validated using a validation cohort.
Conclusion
PAB is a simple and useful predictive index for 30‐day mortality in HBV-ACLF. The HIAPP score was found to be an easy-to-use pragmatic prognostic score and superior to the CLIF‐SOFA, MELD, and CLIF‐C ACLF scores.
Analysis of factors influencing air quality in different periods during COVID- 19: A case study of Tangshan, China
Authors: Wu Wenlu , Shan Chunyan , Liu Jing , Zhao Jinglin , Long Jinyun 
Published: August 2022

Abstract
Since the outbreak of COVID-19, China has experienced the Level I, Level II, and Level III responses to the epidemic, with different measures have an impact on air quality in difference periods. This study aimed to analyze the main factors influencing air quality in three different periods during COVID-19 in Tangshan: the COVID-19 period, the Level I response period, and the Spring Festival period. Here, we used comparative analysis and difference-in-differences (DID) method to explore differences in air quality. During COVID-19, the air quality index (AQI) and the concentrations of six conventional air pollutants (PM2.5, PM10, SO2, NO2, CO, and O3-8h) decreased significantly compared to 2017–2019. Air quality improved may be the result of industry closures not related to livelihoods during COVID-19 in 2020. For the Level I response period, multiple linear regression (MLR) models were used to quantify the impact of COVID-19 control measures on AQI, and it was shown that the measures reduced the average AQI by 29.07%, 31.43%, and 20.04% in February, March, and April 2020, respectively. During the Spring Festival, the concentrations of the above-mentioned six pollutants were significantly higher than those in 2019 and 2021 as there were two heavy pollution episodes in 2020, and the possible pollutant sources were local emissions and short-distance transportation. As for the further improvement of air quality, it is necessary to take strict measures to prevent and control air pollution while paying attention to meteorological factors.
Performance of Sentinel-2 and Landsat-8 satellites in estimating Chlorophyll-a concentration in a shallow freshwater lake
Authors: Karimi Behnaz , Hashemi Seyed Hossein , Aghighi Hossein 
Published: August 2022

Abstract
Remote sensing for monitoring chlorophyll-a (Chl-a) concentration, as a eutrophication indicator, is known as a proper and cost-effective way due to its high temporal and spatial coverage and providing historical data. However, its application in shallow small water bodies is challenging due to its limited spatial and temporal resolutions and effect of depth on accuracy of retrieval models and estimated Chl-a concentration. In this study, the performance of Landsat-8 and Sentinel-2 satellites was investigated for estimating Chl-a concentration in Chitgar Lake in Tehran. The models were constructed using 73 and 122 common data pairs between field observations and Landsat-8 and Sentinel-2 images, respectively. After preprocessing and processing of the satellites’ images, the two bands (2BAND) algorithm (green and red band ratio, R2 = 0.8, RMSE = 1.12 µg.L− 1 and NRMSE = 12.4%) was recognized as the best Landsat-8 based model, and both Normalized Difference Chlorophyll Index (NDCI) algorithm (red and red edge bands, R2 = 0.82, RMSE = 1.29 µg.L− 1, NRMSE = 7.8%) and 2BAND algorithm (red and red edge band ratio, R2 = 0.81, RMSE = 1.28 µg.L− 1 and NRMSE = 7.7%) were the best models for Sentinel-2, all with power = 0.8. Overall, both satellites demonstrated an appropriate performance and can estimate Chl-a concentration with proper accuracy in Chitgar lake as a shallow freshwater body.