Miracle-dz/UniFAR-FTUs huggingface dataset:
A protocol for systematic review and meta-analysis

Background: There were many case-control studies performed the association between TLRs gene polymorphisms and the correlation of Helicobactor pylori infection, these results were inconformity. Therefore, a comprehensive meta-analysis was performed to evaluate the TLRs gene polymorphism and susceptibility to H. pylori infection. Methods: Eligible studies were searched from PubMed, EMBASE, Web of science, Cochrane library, CNKI, CBM, Wan Fang Database and VIP Database, all the databases were searched from inception to December 2020. ORwith the corresponding 95%CI were presented as associations between certain TLR gene polymorphism and the risk of H. pylori infection, all the included data will be analyzed with the software of Review Manager 5.2 and STATA 14.2. Results: This study will provide a high-quality evidence to find the TLR gene polymorphisms with H. pylori infection susceptibility. Conclusion: This study will explore which TLR genotype increase the risk of H. pylori infection. Abbreviations: CBM = China Biology Medicine, CI = Confidence Intervals, CNKI = China National Knowledge Infrastructure, H. pylori = Helicobacter pylori, HWE = Hardy–Weinberg equilibrium, NOS = Newcastle-Ottawa scale, OR = odds ratio, PRISMA-P = Preferred Reporting Items for Systematic Review and Meta-analysis Protocol Guidelines, SNPs = single nucleotide polymorphisms, TLRs = Toll-like receptors.
A protocol for systematic review and meta-analysis

Background: Glucokinase activators are a novel family of glucose-lowering agents used for the treatment of type-2 diabetes mellitus (T2DM). Glucokinase activators blind to GK activate the enzyme allosterically. Treatment with different GKAs has been shown to reduce fasting and postprandial glucose in patients with type 2 diabetes. We compared the efficacy/safety of glucokinase activators in T2DM patients through a meta-analysis. Methods: We searched PubMed, Excerpt Medica Database, and Cochrane Central Register of Controlled Trials databases for articles published before December 30, 2020. Two independent reviewers extracted the information from article. The quality of articles were assessed by 2 independent reviewers using the 5 items of scale proposed by Jadad. We computed the weighted mean difference and 95% confidence interval (CI) for a change from baseline to the study endpoint for glucokinase activators vs placebo. Egger test and Begg test were used to assess the possible publication bias caused by the tendency of published studies to be positive. Results: The present meta-analysis will compare the efficacy and safety of glucokinase activators and placebo for the treatment of T2DM. Conclusions: This meta-analysis will provide advanced evidence on the efficacy and safety of glucokinase activators for the treatment of T2DM. Ethicsanddissemination:Ethical approval and patient consent are not required because this study is a literature-based study. This systematic review and meta-analysis will be published in a peer-reviewed journal PROSPERO registration number: CRD42021220364. Abbreviations: CIs = confidence intervals, GK= glucokinase, GKA = glucokinase activity, HbA1c = glycated hemoglobin, PROSPERO = International Prospective Register of Systematic Reviews, T2DM = type 2 diabetes mellitus.
A protocol for systematic review and meta-analysis

Background: This study aims to identify the association between microRNA 25 (mRNA 25) expression in serum and lung cancer (LC). Methods: This planned study will cover all eligible case-controlled studies that report association between mRNA 25 expression in serum and LC. It will include published studies from inception to the present in Cochrane Library, PUBMED, EMBASE, Web of Science, Allied and Complementary Medicine Database, VIP database, and China National Knowledge Infrastructure regardless language and geographical location. We will also search other sources, such as conference abstracts and reference lists of related known studies and experts in the domain consulted to avoid missing potential studies. Two contributors will independently examine and select studies, collect all necessary data, and judge study quality for all included studies. We will perform statistical analysis using RevMan V.5. 3 software and Stata V.12. 0 software. Results: This study will summarize current evidence to present first systematic review of research on the association between mRNA 25 expression in serum and LC. Conclusion: This study will present comprehensive evidence to determine whether mRNA 25 expression in serum is associated with LC, and will provide helpful evidence for the future studies. Systematic review registration: INPLASY202040056. Abbreviations: LC = lung cancer, mRNA 25 = microRNA 25.
A protocol for systematic review and meta-analysis of randomized clinical trials

h Abstract Background:Breast cancer was the second cause of cancer death and approximately accounted for 30% of all newly diagnosed cancer in American women. Adjuvant chemotherapy is the preferred treatment approach for breast patients. Kanglaite injection (KI) was commonly used as adjuvant chemotherapy combined with chemotherapy for women breast cancer which could increase chemotherapy efficacy and alleviate chemotherapy drugs induced adverse events, however, the efficacy and safety for KI combined western medicine remains controversial. Thus, we conducted this protocol of systematic review and meta-analysis to estimate the efficacy and safety of KI combined with western medicine for women breast cancer. Methods:This study will search electronic database included Englishmedicals databases andChinese databased up toMay 2021. The main outcomes of this study include clinical efficacy rate. Adverse reaction rate, Karnofsky Performance Status and immune function were defined as the secondary outcomes. Results: This protocol study will comprehensively evaluate the efficacy and safety of KI combined with chemotherapy for women breast cancer. Conclusion: This protocol for systematic review and meta-analysis will evaluate the efficacy and safety of KI combined with chemotherapy for women breast cancer, aiming to provide optimal therapy for women breast cancer patients.
A protocol for systematic review and meta-analysis

Background: Osteoarthritis (OA) is considered as an established risk factor for falls, while exercise can effectively prevent falls. However, whether otago exercise can prevent falls in OA patients is still controversial. Based on sufficient clinical studies, this study aimed to apply meta-analysis to evaluate the effectiveness of otago exercise on preventing falls in OA patients with. Methods: PubMed, EMbase, Web of Science and Cochrane Library were searched to collect randomized controlled trial (RCT) of the effect of Otago exercise on falls in OA patients. The search time limit was from the establishment of the database to September 2020. After the 2 researchers independently screened the literature, the data was extracted and the bias risk included in the study was evaluated. Meta-analysis was carried out with RevMan 5.3software. Results: The results of our meta-analysis could be published in peer-reviewed journals. Conclusion: This study provided high-quality evidence to support the effect of Otago exercise on falls in OA patients. OSF Registration number: DOI 10.17605/OSF.IO/Z5XGV. Abbreviations: CIs = confidence intervals, OA = Osteoarthritis, PRISMA-P = Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols, RCT = randomized controlled trial, RR = risk ratio, SMD = standardized mean difference.
A protocol for systematic review and meta-analysis

Background:Electroacupuncture has been reported to successfully control pain. Currently, no systematic reviews of the effects of electroacupuncture on frozen shoulder patients have been performed. This review aims to provide current evidence on the efficacy of electroacupuncture for the management of pain in frozen shoulder. Methods and analyses: Eleven databases will be searched from their inception: PubMed, AMED, EMBASE, the Cochrane Library, 6 Korean medical databases, and 1 Chinese medical database. Study selection, data extraction, and assessment will be performed independently by 2 researchers. Risk of bias will be assessed using the Cochrane risk of bias assessment tool. Ethics and dissemination: Ethical approvals and patient consent are not required because the meta-analysis will be based on published research. This systematic review will be published in a peer-reviewed journal and disseminated both electronically and in print. The review will be updated to inform and guide health care practice and policy. Trial registration number: PROSPERO 2021 CRD42021247090. Abbreviations: FS = frozen shoulder, MD = mean difference, RCTs = randomized controlled trials.
A protocol for systematic review and meta-analysis

h Abstract Background: Diabetes is one of the most common chronic diseases in the world. In recent years, with the continuous improvement of people’s living standards and changes in dietary structure, the incidence of diabetes is gradually increasing. Studies have shown that ascorbic acid supplementation can reduce blood glucose, increase insulin synthesis and secretion, improve insulin resistance, and reduce theoccurrenceanddevelopmentof complicationsof type2diabetesmellitus (T2DM). However, relevant studieshavecommon problems such as the lack of large sample studies and low quality of included studies. Therefore, it is needed that we meta-analyze the clinical trials with high quality to elucidate the efficacy and safety of ascorbic acid supplementation in patients with T2DM. Methods:We will search randomized controlled trials published by PubMed, Embase, the Cochrane Library, Web of Science, and the Clinical Trials.gov website from inception to August 2020 on the effects of ascorbic acid supplementation on blood glucose, glycosylated hemoglobin, serum insulin, insulin resistance and other variables in T2DM patients with no language restrictions. The retrieval adopts the combination of medical subject headings and random words, and traces the references of the included literature to supplement the acquisition of relevant literature. Two researchers will independently screen the retrieved literature, extract the data and cross-check, and the Review Manage software V5.3. 0 will be utilized for meta-analysis. Results:Our study will provide a high-quality and in-depth comprehensive analysis of the effects of ascorbic acid supplementation on blood glucose control, glycosylated hemoglobin and insulin resistance in type 2 diabetic patients. Conclusion: This systematic review and meta-analysis concerning randomized controlled trials of ascorbic acid supplementation for type 2 diabetic patients will provide a new direction and strong evidence to evaluate whether ascorbic acid supplementation is of benefit to glucose control and insulin resistance in T2DM. PROSPERO registration number: CRD 42019146826
A protocol for systematic review and meta-analysis

Background: Female breast cancer is the most common cancer nowadays, and its treatment has a significant impact on patients both physically and psychologically. Many randomized trials have proved that case management (CM) can effectively care for patients. However, there is a lack of systematic scientific evaluation, so this systematic evaluation aims to explore the impact of CMon breast cancer patients. Methods: PubMed, Embase, Cochrane Library, Scopus, CINAHL were searched. Chinese repositories included China National Knowledge, Infrastructure Database (CNKI), Wan fang Database, China BiologyMedicine Database. Wewill also search unpublished literature at ClinicalTrials.gov. Randomized controlled trials were collected from them. The literature will be screened according to inclusion and exclusion criteria, and 2 researchers will extract the literature independently. The primary outcome indicator for this study will be patient satisfaction. Statistics were performed using RevMan 5.4 software. The quality of each outcomewill be evaluated using the Grading of Recommendations Assessment, Development, and Evaluation. Results: This study will provide the most recent evidence for evaluating the impact of CM on breast cancer patients. Conclusion: To evaluate the impact of CM on patients with breast cancer. Registration number: DOI:10.17605/OSF.IO/ZJKHX. Abbreviations: CM = case management, RCT = randomized controlled trial.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL)

Public trust has been acknowledged widely as an essential element in the success of public policy implementation. However, studies showed that it has declined over the years. To overcome this, the government could improve the public trust by leveraging the transparency through the use of digital technology. On the other hand, while research interest on digital transformation in government sector has been growing, studies related with public trust are scarce. Accordingly, this research-in-progress aims to investigate on how the public trust can be generated through digital government transformation (DGT). The proposed model has been drawn from IT business value model (Melville et al. 2004) and digital capability pillars (Peppard 2018) complemented with the cognitive theory of trust (Hill and O'Hara 2006). The research will contribute to the knowledge in the field of digital government transformation related with public trust and as an input for the government in generating public trust through DGT.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL)

Artificial intelligence, especially efforts based on machine learning, is rapidly transforming business operations and entire industries. However, as many complex machine learning models are considered to be black boxes, both adoption and further reliance on artificial intelligence depends on the ability to understand how these automated models work – a problem known as explainable AI. We propose an approach to explainability that leverages conceptual models. Conceptual models are commonly used to capture and integrate domain rules and information requirements for the development of databases and other information technology components. We propose a method to embed machine learning models into conceptual models. Specifically, we propose a Model Embedding Method (MEM), which is based on conceptual models, for increasing the explainability of machine learning models, and illustrate through an application to publicly available mortgage data. This machine learning application predicts whether a mortgage is approved. We show how the explainability of machine learning can be improved by embedding machine learning models into domain knowledge from a conceptual model that represents a mental model of the real world, instead of algorithms. Our results suggest that such domain knowledge can help address some of the challenges of the explainability problem in AI.
AIS Electronic Library (AISeL) AIS Electronic Library (AISeL)

As the importance of online consumer reviews has grown, the concerns about their credibility being damaged by the presence of fake reviews have also grown. Extant literature reveals the importance of online reviews for consumers. Yet, there is a lack of research in the literature that considers consumer perception while developing a predictive model for the credibility of online reviews. This research aims to fill this gap by combining two different streams in the literature namely human-driven and data-driven approaches. To do so, we use two datasets with different labelling approaches to develop a predictive model, the first one is labelled based on the Yelp filtering algorithm and the second one is labelled based on the crowd’s perception towards credibility. Results from our predictive model reveal that it can predict credibility with a performance of 82% AUC, using reviews’ att ributes namely, length, subjectivity, readability, extremity, external and internal consistency.
Breast Cancer Subtype Classification Based on PET/CT Bimodal Imaging Feature Fusion

In this paper, the powerful feature extraction capability of convolutional neural networks is used to extract advanced latent features of breast lesions, and the classification of breast cancer subtype is realized based on the features extracted from PET/CT bimodal images. The DenseNet network model is used to construct the PET/CT imaging feature extraction network. Since the PET/CT bimodal imaging data from breast cancer patients is very limited, the transfer learning method is adopted to solve the problem of insufficient data and prevent overfitting during training. In order to combine PET/CT bimodal imaging features, two feature fusion approaches are proposed, which are offline feature fusion and online feature fusion. For offline feature fusion, principal component analysis is employed to reduce the dimensionality of the deep features extracted by the feature extraction network from individual modalities. The reduced features are then concatenated and forwarded into a classifier for breast cancer subtype classification. For the online feature fusion, the feature maps output by the PET/CT feature extraction networks are directly concatenated and then input into the classification subnetwork for breast cancer subtype classification. The validity is evaluated using clinical data in practice. The PET/CT dual-modality features can improve the accuracy of breast cancer classification, and the experimental results show that the accuracy of online feature fusion is the highest.
Materials and Methods Bacterial Strains, Media, and Culture Conditions Allelic Exchange Mutagenesis Cellular and Infection Microbiology

The small protein CydX is required for function of cytochrome bd oxidase in Brucella abortus A large number of hypothetical genes potentially encoding small proteins of unknown function are annotated in the Brucella abortus genome. Individual deletion of 30 of these genes identified four mutants, in BAB1_0355, BAB2_0726, BAB2_0470, and BAB2_0450 that were highly attenuated for infection. BAB2_0726, an YbgT-family protein located at the 3 end of the cydAB genes encoding cytochrome bd ubiquinal oxidase, was designated cydX. A B. abortus cydX mutant lacked cytochrome bd oxidase activity, as shown by increased sensitivity to H 2 O 2 , decreased acid tolerance and increased resistance to killing by respiratory inhibitors. The C terminus, but not the N terminus, of CydX was located in the periplasm, suggesting that CydX is an integral cytoplasmic membrane protein. Phenotypic analysis of the cydX mutant, therefore, suggested that CydX is required for full function of cytochrome bd oxidase, possibly via regulation of its assembly or activity. INTRODUCTION Genes encoding small proteins are not well-characterized in the genomes of bacteria. An examination of the sequenced genomes shows that these small genes are not consistently annotated across related genomes, which raises the question of whether they encode functional genes. Further, the small size of the coding genes reduces the probability of identifying their functions in transposon mutagenesis screens. In bacteria, relatively few small proteins have been characterized. These include the toxin peptides of toxin/antitoxin systems, which insert into membranes and cause damage (Gerdes et al., 1986), and peptides that functions as " connectors " of two-component signal transduc-tion systems (Eguchi et al., 2011). Recent studies in Escherichia coli and Salmonella enterica serovar Typhimurium have identified several small proteins whose expression had previously been overlooked in proteomic and genomic studies (Alix and Blanc-Potard, 2009; Hemm et al., 2010). One of these proteins, MgtR, modulates degradation of MgtC, a cytoplasmic protein involved in replication of S. typhimurium within host cells, by the FtsH protease, suggesting a role for MgtR in adaptation to the host environment (Alix and Blanc-Potard, 2008). A second peptide found to target the activity of FtsH protease, SpoVM, has been identified in Bacillus subtilis (Cutting et al., 1997). In Agrobacterium tumefaciens, a close phylogenetic relative of the Brucella species, a small protein VirE1 has been shown to serve as a secretion chaperone for the Type IV-exported single-strand binding protein VirE2 (Deng et al., 1999). Given their …
EMPLOYEE ENGAGEMENT: AN EMPIRICAL STUDY OF HIGHER EDUCATION SECTOR IN KASHMIR

Employee Engagement is one of the latest terminologies that have gained enormous attention from academic scholars. Employee engagement directly impacts the employee productivity. The most productive employees, whose work is valuable and pleasing both for them as well as for the organization they work for are called, engaged. The paper aims to find the level of engagement among the faculty at the university level. The current study investigates the impact of demographic factors like gender and age on their level of engagement. The results indicate the level of Engagement among the university level faculty members is highly engaged. However, there is no significant difference across their gender and age, but there is little difference across their level of experience, with more experience exhibiting a bit high level of engagement than their junior colleagues.
Isotopic Composition and Possible Genesis of Ore Leads in North-Eastern Queensland, Australia

The isotopic composition of the ore leads from an area in north-east Queensland are compared with previously reported rock-lead initial ratios. These data suggest that the isotopic characteristics of the ore lead result from extensive mixing of a fairly uniform lead component from Carboniferous-Permian magmas with readily leachable country-rock lead. This last may in some cases be of Precambrian origin.
A Mixed-Signal Quantized Neural Network Accelerator Using Flash Transistors

This paper presents a mixed-signal architecture for implementing Quantized Neural Networks (QNNs) using flash transistors, to achieve extremely high throughput with extremely low power, energy and memory requirements. Its low resource utilization makes our design especially suited for use in edge devices. The network weights are stored in-memory using flash transistors, and neurons perform operations in the analog current domain. Our design can be programmed with any QNN whose hyperparameters (the number of layers, filters, or filter size, etc) do not exceed the maximum provisioned. Once the flash devices are programmed with a trained model and our IC is given an input, our architecture performs inference with zero access to off-chip memory. We demonstrate the robustness of our design under current-mode non-linearities arising from process, voltage, and temperature (PVT) variations. We test validation accuracy on the ImageNet dataset, and show that our IC suffers only 0.71% and 0.92% reduction in classification accuracy for Top-1 and Top-5 outputs, respectively. Our implementation achieves between $2.1\times $ and $125\times $ better energy efficiency than previous NVM-based QNN accelerators. Our approach provides layer partitioning and neuron sharing options, which allow us to trade off latency, power, and area amongst each other.