Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of Xuebijing injection combined with ulinastatin as adjunctive therapy on sepsis: An overview of systematic review and meta-analysis

Background: Xuebijing injection (XBJ) has increasingly been used for sepsis in China. We aimed to evaluate the methodological quality and summarize the evidence regarding the effectiveness of XBJ combined with ulinastatin (UTI) for sepsis from systematic reviews/meta-analyses (SRs/MAs). Methods: From the inception to May 23, 2021, eight databases were searched to screen the SRs/MAs of XBJ combined with UTI in the treatment of sepsis. Methodology Quality of Systematic Reviews 2 (AMSTAR-2) was used to evaluate the quality of the methods. Grading of Recommendation,Assessment, Development, and Evaluation (GRADE) was used in the assessment of evidence quality. Results: Seven SRs/MAs on XBJ combined with UTI treatment for sepsis were included. The AMSTAR-2 showed that the methodological quality of all included SRs/MAs was rated as critically low. According to the evaluation results of GRADE, 30% (13/44), 30% (13/44), and 40% (18/44) were rated to be of moderate, low, and critically low quality, respectively. Descriptive analysis results showed that XBJ combined with UTI was an effective treatment modality for sepsis. Conclusions: All included SRs/MAs showed that XBJ combined with UTI was more effective than UTI alone in the treatment of sepsis on the basis of conventional treatment, but the reliability of the results was limited due to the disadvantages of lower methodological quality and higher risk of bias in the included SRs/MAs. Further high-quality clinical studies and SRs/MAs are recommended to verify whether XBJ combined with UTI is more effective than UTI alone.
Efficacy and safety of dual antiplatelet therapy after percutaneous coronary drug-eluting stenting: A network meta-analysis

Background: To evaluate the efficacy and safety of dual antiplatelet regimens after coronary drug-eluting stenting by network meta-analysis (NMA). Methods: PubMed, The Cochrane Library, Embase, and Web of Science databases were electronically searched to collect randomized controlled trials (RCTs) of the comparison of different dual antiplatelet regimens after coronary drug-eluting stenting from inception to September 1st, 2021. Two reviewers independently screened literature, extracted data, and assessed the risk bias of included studies. Stata 16.0 software was used for NMA. Results: A total of 27 RCTs involving 79,880 patients were included. The results of NMA: in terms of myocardial infarction (MI), other 3 interventions were higher than the long-term dual antiplatelet therapy (L-DAPT) (the standard dual antiplatelet therapy [Std-DAPT] [odds ratio [OR] = 1.82, 95%confidence interval [CI]: 1.49-2.21), the aspirin monotherapy after short-term dual antiplatelet therapy (S-DAPT + As) (OR = 2.06, 95%CI: 1.57-2.70), the P2Y12 inhibitor monotherapy after short-term dual antiplatelet therapy (S-DAPT + P2Y12) (OR = 1.71, 95%CI: 1.29-2.28)]. In terms of stent thrombosis, other 3 interventions were higher than L-DAPT [Std-DAPT (OR = 2.18, 95%CI: 1.45-3.28), S-DAPT + As (OR = 2.32, 95%CI: 1.52-3.54), S-DAPT + P2Y12 (OR = 2.31, 95%CI: 1.22-4.36)]. There was no statistically significant difference among the 4 interventions in prevention of stroke and all-cause mortality (P > .05). In terms of cardiovascular and cerebrovascular adverse events, other 3 interventions were higher than L-DAPT (Std-DAPT [OR = 1.28, 95%CI: 1.12-1.45], S-DAPT + As [OR = 1.27, 95%CI: 1.09-1.48], S-DAPT + P2Y12 [OR = 1.24, 95%CI: 1.01-1.52]). In terms of safety, bleeding rate of other 3 interventions were lower than L-DAPT (Std-DAPT [OR = 0.67, 95%CI: 0.52-0.85], S-DAPT + As [OR = 0.51, 95%CI: 0.39-0.66], S-DAPT + P2Y12 [OR = 0.36, 95%CI: 0.26-0.49]). Two interventions were lower than L-DAPT (S-DAPT + As [OR = 0.77, 95%CI: 0.65-0.90], S-DAPT + P2Y12 [OR = 0.54, 95%CI: 0.44-0.66]). S-DAPT + As was higher than L-DAPT (OR = 1.42, 95%CI: 1.10-1.83). Conclusions: S-DAPT + P2Y12 has the lowest bleeding risk, while L-DAPT has the highest bleeding risk. In the outcome of MI, stent thrombosis, and cardiovascular and cerebrovascular adverse events, L-DAPT has the best efficacy. In the outcome of stroke and all-cause mortality, the 4 interventions were equally effective.
Fault-Tolerant Postselected Quantum Computation: Schemes

Postselected quantum computation is distinguished from regular quantum computation by accepting the output only if measurement outcomes satisfy predetermined conditions. The output must be accepted with nonzero probability. Methods for implementing postselected quantum computation with noisy gates are proposed. These methods are based on error-detecting codes. Conditionally on detecting no errors, it is expected that the encoded computation can be made to be arbitrarily accurate. Although the probability of success of the encoded computation decreases dramatically with accuracy, it is possible to apply the proposed methods to the problem of preparing arbitrary stabilizer states in large error-correcting codes with local residual errors. Together with teleported error-correction, this may improve the error tolerance of non-postselected quantum computation.
Efficacy and safety of acupuncture for chemotherapy-induced leukopenia: A systematic review and meta-analysis

Background: Leukopenia is one of most common types of myelosuppression secondary to chemotherapy. The main methods used to treat leukopenia after chemotherapy have various limitations. Several studies have reported the role of acupuncture in the prevention and treatment of leukopenia, but the quality of the study is uneven. Here, we used a systematic review and meta-analysis to evaluate the efficacy and safety of acupuncture in the treatment of leukopenia after chemotherapy. Methods: We searched the databases of the Cochrane Central Register of Controlled Trials (CENTRAL), the Cochrane Library, Medline (via PubMed), EMBASE (via embase.com), the China National Knowledge Infrastructure Database (CNKI), the Chinese Biomedical Literature Database (CBM), the Chinese Scientific Journal Database (VIP database) and the Wanfang database to collect randomized clinical trials (RCTs) on acupuncture in the treatment of leukopenia after chemotherapy. Cochrane systematic reviewer manual 5.2 was used for bias risk assessment. RevMan5.3 statistical software was applied for statistical analysis. Results: Fifteen RCTs were included in this study, with a total of 1130 patients. Meta-analysis results showed that acupuncture can increase white blood cell (WBC) count after chemotherapy [MD = 1.18, 95% CI (0.80, 1.57), P < . 00001], reduce the incidence of myelosuppression [RR = 0.38, 95% CI (0.23, 0.63), P = . 0002], and improve the clinical treatment effectiveness [RR = 1.20, 95% CI (1.00, 1.43), P = . 05]. The differences were statistically significant. Conclusion: It is recommended to use acupuncture in the treatment of leukocytopenia after chemotherapy, but this result needs further research for verification.
How realistic is a change coupling graph? Estimations with convolutional networks.

Applying advances in machine learning with neural networks to structured data, such as graphs, is an area under active research. We implement a practical application using convolutional neural networks for a real-world classiﬁcation task and evaluate its performance. After generating change-coupling graphs from publicly available software projects, we train a classiﬁer diﬀerentiating them from slightly perturbed instances and randomly generated ones, to estimate how ’realistic’ a certain change-coupling graph is.
The SpeakIn System for Far-Field Speaker Verification Challenge 2022

This paper describes speaker verification (SV) systems submitted by the SPEAKIN team to the Task 1 and Task 2 of the Far-Field Speaker Verification Challenge 2022 ( FFSVC2022 )[1]. SV tasks of the challenge focus on the problem of fully supervised far-field speaker verification (Task 1) and semi-supervised far-field speaker verification (Task 2). In Task 1, we used VoxCeleb dataset and FFSVC2020 dataset(train, dev and supplementary set) as training dataset. And for Task 2, we only used VoxCeleb dataset as training set. The subsystems, including fwSE-ResNet34-D, ResNet74, fwSE-ResNet101-D, ResNet152, ResNet221, RepVGG-A1, RepVGG-A2, RepVGG-B1 were developed in this evaluation. We also used Large-Margin Fine-tuning strategy. Sub-Mean and AS-Norm backend methods were used to solve the problem of domain mismatch. In the fusion stage, three models were fused in Task1 and two models were fused in Task2. On the FFSVC2022 leaderboard, the EER of our submission is 3.0049% and the corresponding minDCF is 0.2938 in Task1. For Task2, EER and minDCF are 6.2060% and 0.5232 respectively.
Quantitative assessment of elasticity properties of skin using surface acoustic wave (SAW) method

I Declaration . II Certificate . III Copyright . IV Acknowledgements. V Table of Content . VI List of Figures . X List of Tables . XVIII List of Abbreviations and Symbols. XIX Chapter 1: Introduction . 1 1.1 Motivation and research objectives . 2 1.2 Outline of Thesis . 4 1.3 List of publications . 5 Chapter 2: Tissue imaging and characterisation methods for skin and skin diseases . 8 2.
Temperature evolution of the helical magnetic structure in the metallic Kagome system YMn Sn

This experiment will demonstrate the versatility of triple-axis spectrometers for diffraction experiments and the application to particularly topical materials, namely, YMn 6 Sn 6 . YMn 6 Sn 6 is a metallic Kagome system, which has a zero-applied magnetic field antiferromagnetic transition at 345 K to a commensurate structure with wavevector k = (0, 0, ½). This commensurate structure is short lived and quickly transitions to a double-flat helical magnetic structure. This helix propagates incommensurately with the c -axis in this hexagonal structure and the pitch length varies from about two unit cells to almost four between its onset at 333 K to the base temperature measured (12 K). There is an additional complexity in this system, which is that two separate helical structures exist simultaneously with similar wavevectors. Here, experimenters will learn how to set-up experiments on a TAS which will include how to mount and align a sample. Data collection will include the observation of the magnetic peaks in YMn 6 Sn 6 and tracking the temperature dependence. Analysis will include data reduction, plotting, and fitting of the data to quantify the zero-field properties described. The data used for this experiment helped lead to the publications in Refs. [1] and [2], and the experiments were performed on the thermal triple-axis spectrometer, BT-7 [3], at the NIST Center for Neutron Research.
The Effect of Minimum Wage Policies on the Wage and Occupational Structure of Establishments

Using establishment-level panel data from the Occupational Employment and Wage Statistics program, I estimate the effect of minimum wage increases implemented by 10 states in 2014 and 2015. I show that minimum wage increases lead to wage spillovers within establishments. I find little evidence that minimum wage increases induce establishments to reorganize their occupational mix. Finally, I find that minimum wage increases propagate up the management hierarchy, leading to increased wages for supervisors. Nonetheless, I find that overall wage inequality decreases within establishments after minimum wage increases.
Image-Based Vehicle Detection using Various Features

:- There are frequent vehicle accidents in our country due to reckless driving and also break the driving rules. So, main purpose for this research comes from the situation of our country worsts vehicles. Now-a-days in our country vehicles damage are increasing rapidly. This is why a concept that emphasizes on the betterment of our country traffic environment. Here, apply two methods for detect the vehicle. Such as Lens-based vehicle Classifier and Haar cascade classifier. Lens-based Vehicle Classifier and Haar cascade classifier used for utilize the object detect of the vehicle. And all the procedure is held with camera and sensor to detect the vehicles. In the primary level, DSLR camera takes multiple photographs in a different way after the image is resister in database. All the process is held like heat map, bounding box, threshold and merged box in database. So, heat map highlights the image and send to the bounding box for predict. This prediction is also a smaller number of images. Heat map are used for bounding box that threshold of 85% probability of any class of object. Regressor when included the output of image pixel are merged. And finally, all the procedure done and get a result of vehicle detection that accuracy 85% or less.
Cigarette consumption among University students in Montenegro: The prevalence and smoking habits

Objective. The aim of this study was to determine the prevalence of cigarette consumption and the differences in smoking habits among university students aged 18-26 years from different faculties in Montenegro. Method. This cross-sectional study was conducted in University of Montenegro in Podgorica and the data were collected using a structured questionnaire. Results. The study enrolled 146 students of both genders (63 males and 83 females) with an average age of 21.63 ± 2.16 years. It was shown that overall prevalence of cigarette consumption was 52.05% among all participants i.e. 21.62% among the students of Faculty of Medicine (p < 0.001). Among the students who practiced smoking, 46.57% of them stated that it was in the period of high school. We did not estimate a significant difference in the daily smoking frequency (number of cigarettes per day) (p = 0.443). Also, study participants did not have a specific time during the day for cigarette consumption (67.20%). The largest number of students (40.70%) light the first cigarette more than half an hour after waking up. University students believed that cigarette smoking could help overcome stressful situations, and that it improved concentration and memory. Smoking status was found to be higher among the students of older age (p < 0.001) and advancing year of faculty (p = 0.002). The analysis showed no significant gender difference in smoking habits. Conclusion. Our investigation confirmed a high prevalence of cigarette consumption among university students in Montenegro, and therefore we recommend that appropriate programs for smoking prevention and cessation be developed.
Deciphering The Correlation Between Triclosan and Immune Response to HCV Infection

Triclosan has antibacterial, antifungal, and antiviral activities, and a low aqueous solubility but is highly soluble in organic solvents, also it has high lipophilicity. This study aimed to determine whether there is a correlation between the presence of triclosan in hepatitis C virus (HCV) patients' blood samples and illness exacerbation. This study was conducted on 44 patients who were confirmed as HCV infection positive only and did not receive any treatment for HCV infection at the Cardiac and Gastroenterology Center Hospital in Sohag, Egypt. From each patient plasma and serum samples were collected for quantitation of HCV titers using real-time PCR and HCV antibody titers using ELISA. While the amount of triclosan in representative 12 serum samples was measured in monograms by the GC-MS instrument. The results revealed that there is an inverse proportion between the triclosan and HCV particles, and a direct relationship between triclosan and HCV antibody titers. In conclusion, triclosan can confer antibody stimulation and antiviral action against HCV.
The structure of knowledge and dynamics of scholarly communication in mobile media and communication research, 2013–2022

As a relatively young journal,Mobile Media & Communication (MMC) has become reputable and influential in the field of communication and technology research. While contemplating the questions provided by the editors of MMC concerning the 10th anniversary issue, I happened to read an article about the citation analysis of agendasetting research (Tai, 2009). Based on social network analysis, Tai analyzed the structure of the citation networks of the key literature (56 journal publications) in agenda-setting research. The analysis results showed how agenda-setting as a sub-field of mass communication and journalism research has developed and evolved over 10 years (1996–2005), referring to a few authoritative pieces. For further details of that analysis, please refer to the excellent article by Tai as this space is limited to discussing topics specifically relevant to our journal, MMC. I was inspired by Tai’s (2009) approach and intrigued about whatMMC’s citation networks would look like. Though I am aware that SAGE, the publisher, does its own citation analysis and posts updates on the journal website regarding the “Most cited” and “Most read” articles, those statistics involve citations and readership from outside the journal as well; thus, they cover a much wider range of authors and readers. For this article, I am interested in our internal conversations, particularly regarding the work
Association between Hyperemesis Gravidarum in Iraqi Women with Helicobacter pylori Infection

Background: Helicobacter pylori are gram-negative microaerophilic bacteria, and it is considered prevalent bacteria that affect people when transmitted fecally or orally. The infection in the acute stage manifests as stomach pain and acute gastritis, but the chronic infection causes peptic ulcers and gastritis, 2% of which may progress to stomach cancer. Nausea and vomiting during pregnancy, which may occur in 75% of pregnant women in the first three months and hyperemesis gravidarum, which is extreme, persistent nausea and vomiting during pregnancy that occurs in about 2% only. Objective: Finding out how H. pylori infection relates to hyperemesis gravidarum was the main objective of this work. Subjects and Methods: One hundred blood samples were taken from people aged (16-35) years for the period from 10/1/2021 to 1/3/2022. Subjects were divided into four groups. The first group included twenty-five patients with severe H.G, the second group had twenty-three patients with mild H.G, the third group had twenty–two patients with a few H.G, and the fourth group included thirty pregnant without H.G. Measurements were made for all study groups to anti-IgA Ab, anti-IgG Ab, and anti-Cag A Ab level by enzyme-linked immunosorbent assay (ELISA) technique. Results: The statistical analysis showed a highly significant increase in the concentration of IgA in H.G compared to the control group (p > 0.01), a highly significant elevation in the concentration of IgG in H.G compared to the control group (p > 0.01), and a significant increase in concentration of anti-CagA Ab in H.G compared to control group (p>0.05). Conclusion: The present study shows that infection with Helicobacter pylori plays a role in hyperemesis gravidarum.
Improved robust filter synthesis combining linear matrix inequalities and heuristic algorithms

This article introduces an alternative and less conservative ℋ∞$$ {\mathscr{H}}_{\infty } $$ filter design procedure applied to continuous time uncertain systems. In order to provide a reduction in conservatism and an ℋ∞$$ {\mathscr{H}}_{\infty } $$ norm improvement, the proposed technique avoids the conventional convexification procedure—which uses structure restrictions and slack variables. Instead, it defines an unconstrained structure. The proposed technique consists of a hybrid procedure, combining the application of linear matrix inequalities (LMIs) with heuristic optimization algorithms (HOAs). The HOAs, specifically genetic algorithms, are used to optimize terms that could cause bilinearities, subsequently evaluated by LMIs and generating the desired filter. Numerical examples and a comparison with other methodologies are presented, testifying to the proposed method's efficacy and the performance.
The Distribution of Mass and Gas in the Center of Clusters of Galaxies Implied by X-Ray and Lensing Observations

Observations of gravitational lensing indicate that the mass distribution in clusters of galaxies (where most of the mass is dark matter) is highly peaked towards the center, while X-ray observations imply that the gas is more extended. The additional fact that the gas is cooling in the center has often led one to expect that the gas temperature should be lower near the center, and therefore the gas should be more concentrated than the dark matter. We show that such expectation is not correct, and that the gas temperature must remain approximately constant within the cooling region in order to have consistency with the observed X-ray profiles and lenses. A multiphase cooling flow naturally produces an approximately constant temperature profile, and a more extended distribution for the gas compared to the mass. Cool phases are deposited at relatively large radius, while hot phases are adiabatically heated as they flow inwards and can keep the average temperature constant. Thus, cooling flows result in an {\it increase} of the central temperature, relative to a case where there is no cooling and the gas follows the mass distribution. The increased central temperatures caused by cooling flows give a characteristic core radius to the gas profiles, which is of order the cooling radius. This provides a natural explanation for the typical cores observed in X-ray clusters. It also brings into better agreement with observations the rate of cluster evolution expected in self-similar hierarchical models. We propose that clusters having core radii much larger than their cooling radii are in the process of merging and are not in dynamical equilibrium.
OS IMPACTOS DO PERIODO PANDÊMICO NOS INDICADORES DO ORÇAMENTO FAMILIAR

Pesquisou-se sobre os impactos do período pandêmico nos indicadores do orçamento familiar. Portanto este artigo tem por objetivo avaliar a porcentagem atingida pelo gasto com a cesta básica em comparação ao salário-mínimo de 2017 a 2021. Os objetivos específicos foram: verificar a evolução do salário, cesta e do dólar durante os anos, se houve uma piora durante a pandemia por meio do cálculo de correlação. A abordagem foi quantitativa, foram realizadas a coleta de dados, cálculos de variação e correlação. Os procedimentos utilizados foram de análise documental, de estatísticas do DIEESE; IBGE e o dólar diário. A média do valor da cesta básica de 2017 a 2019 foi de 47,37 %. Já de 2020 a 2021 média em p.p foi de 56,47 %. Na comparação das médias antes e durante a pandemia o aumento em p.p foi de aproximadamente 9,09%. De 2017 a 2019 a média de um salário necessário para atender boa parte das famílias seria de R$ 2.915,54. Enquanto que de 2020 a 2021 a média seria de R$ 4.065,95 quase o dobro comparado aos anos passados. O índice de correlação da cesta básica comparado ao salário-mínimo ficou em 0,9 bem próximo do 1 positivo levou a conclusão de que a associação é forte, na medida que o salário-mínimo aumentou o valor da cesta também aumentou. Para salário-mínimo x dólar foi de –0,8 significando que a associação é perfeita negativa à medida que o dólar aumenta o salário perde valor. Conclui-se que o período pandêmico foi difícil e impactou o orçamento familiar.