Miracle-dz/UniFAR-FTUs huggingface dataset:
Incivility in the workplace: A study of nursing staff in the Military Health System

Incivility in the workplace is associated with decreased quality of performance. In a healthcare setting, decreased performance diminishes the opportunity for excellence in patient care and introduces potential threats to patient safety and wellbeing. Affected individuals and those who witness the most severe form of workplace incivility, including bullying, are likely to experience negative psychosocial consequences such as depression, substance abuse, and suicide. The degree to which different forms of incivility persist in healthcare settings is unclear and as a result, the sources of workplace incivility and its effects on nursing staff and their patients are also not well established. This study explored the prevalence of eight different forms of incivility toward nursing staff, profiles of the main offenders of incivility, and the impact of each behavior on patient care from the perspective of a sample of nursing staff affiliated with one Military Health System (MHS) hospital. Condescending language (56%) and impatience with questions (58%) were most commonly reported as occurring sometimes or often in the workplace. Nursing peers were cited as the most common source of incivility (33%). Negative impacts of workplace incivility on patient care included breakdown in communication, often involving nursing staff avoiding uncivil coworkers. Findings suggest the importance of implementing interventions designed to reduce incivility in military healthcare settings.
Women’s Activism in Pakistan: Role of Religious Nationalism and Feminist Ideology Among Self-Identified Conservatives and Liberals

Abstract This paper explores women’s activism and political engagement in contemporary Pakistan. In this exploration with self-identified liberal and conservative groups of women, emerged their experiences and narratives about Feminism and Nationalism with a common moderator being religious affiliations. In this qualitative and phenomenological exploration, the informants belonged to various self-identified liberal and conservative women-led organizations. To this end, 20 women (age-range 23-48 years) were interviewed. Results indicated that gender roles and feminism were seen very differently between the two groups; gender and national identity were closely associated with Islamic values and there was a negative association between nationalism and feminist ideology. Women from liberal organizations, mostly feminists, emphasized pro-public-sphere engagement of women, rebelling against religious fundamentalism. On the contrary, many self-reported conservative women proclaimed nationalist, anti-feminists (they did not identify as Islamic feminists) and pro-private-sphere engagement of women. Many of the liberal informants complained about Pakistan’s misogynistic society and hurdles they faced in demanding equal opportunities for women. This research has implications for gender equality and female identity in the context of nationalism, women’s mobility and entitlement to the public sphere. The study also has applied significance for prejudices and stereotypes that make it difficult for women, to break away from fixed categories of gender role expectations. This paper informs academics and practitioners on socially and politically engaged Pakistani women’s views regarding these narratives. The study concluded that women’s activism is influenced by their religious views and their religious interpretation of feminism and nationalism in Pakistani society.
DNNGuard: An Elastic Heterogeneous DNN Accelerator Architecture against Adversarial Attacks

Recent studies show that Deep Neural Networks (DNN) are vulnerable to adversarial samples that are generated by perturbing correctly classified inputs to cause the misclassification of DNN models. This can potentially lead to disastrous consequences, especially in security-sensitive applications such as unmanned vehicles, finance and healthcare. Existing adversarial defense methods require a variety of computing units to effectively detect the adversarial samples. However, deploying adversary sample defense methods in existing DNN accelerators leads to many key issues in terms of cost, computational efficiency and information security. Moreover, existing DNN accelerators cannot provide effective support for special computation required in the defense methods. To address these new challenges, this paper proposes DNNGuard, an elastic heterogeneous DNN accelerator architecture that can efficiently orchestrate the simultaneous execution of original (target) DNN networks and the detect algorithm or network that detects adversary sample attacks. The architecture tightly couples the DNN accelerator with the CPU core into one chip for efficient data transfer and information protection. An elastic DNN accelerator is designed to run the target network and detection network simultaneously. Besides the capability to execute two networks at the same time, DNNGuard also supports the non-DNN computing and allows the special layer of the neural network to be effectively supported by the CPU core. To reduce off-chip traffic and improve resources utilization, we propose a dynamical resource scheduling mechanism. To build a general implementation framework, we propose an extended AI instruction set for neural networks synchronization, task scheduling and efficient data interaction. We implement DNNGuard based on RISC-V and NVDLA, and evaluate its performance impacts with six target networks and three typical detection networks. Experiment results show that DNNGuard can effectively validate the legitimacy of the input samples in parallel with the target DNN model, achieving an average 1.42x speedup compared with the state-of-the-art accelerators.
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

We show that DNN accelerator micro-architectures and their program mappings represent specific choices of loop order and hardware parallelism for computing the seven nested loops of DNNs, which enables us to create a formal taxonomy of all existing dense DNN accelerators. Surprisingly, the loop transformations needed to create these hardware variants can be precisely and concisely represented by Halide's scheduling language. By modifying the Halide compiler to generate hardware, we create a system that can fairly compare these prior accelerators. As long as proper loop blocking schemes are used, and the hardware can support mapping replicated loops, many different hardware dataflows yield similar energy efficiency with good performance. This is because the loop blocking can ensure that most data references stay on-chip with good locality and the processing units have high resource utilization. How resources are allocated, especially in the memory system, has a large impact on energy and performance. By optimizing hardware resource allocation while keeping throughput constant, we achieve up to 4.2X energy improvement for Convolutional Neural Networks (CNNs), 1.6X and 1.8X improvement for Long Short-Term Memories (LSTMs) and multi-layer perceptrons (MLPs), respectively.
Candida Infections of the Genitourinary Tract

All humans are colonized with Candida species, mostly Candida albicans, yet some develop diseases due to Candida, among which genitourinary manifestations are extremely common. The forms of genitourinary candidiasis are distinct from each other and affect different populations. While vulvovaginal candidiasis affects mostly healthy women, candiduria occurs typically in elderly, hospitalized, or immunocompromised patients and in neonates. Despite its high incidence and clinical relevance, genitourinary candidiasis is understudied, and therefore, important questions about pathogenesis and treatment guidelines remain to be resolved. In this study, we observed that the current knowledge about genitourinary candidiasis.
AN ANALYSIS OF RESEARCH PROPOSALS AND CHALLENGES FACED BY POSTGRADUATE TRAINEES IN INTERNAL MEDICINE AND ALLIED DISCIPLINES DURING FELLOWSHIP TRAINING PROGRAMME: A QUALITATIVE STUDY

Objectives: To analyze the research proposals and challenges faced by postgraduate fellowship trainees in internal medicine & allied disciplines when writing a proposal.Methods: The study was undertaken at the Department of Medicine, Lady Reading Hospital Peshawar, from October 2013 to December 2014. This qualitative grounded theory approach analyzed proposals of 32 postgraduate students of internal medicine. Later, we triangulated our results with a focus group discussion amongst 10 postgraduate students who had completed their synopses.Results: The number of attempts needed for correction of different components of synopses was 2-11 times amongst 32 proposals evaluated. The challenges found were related to; research methodology, formulating research questions or hypothesis, setting the background / introduction section, proforma making for data collection, objectives and references writing. About one third of the students found difficulties when writing an appropriate proposal title for their dissertation. From the focus group discussion, a total of six codes emerged after thematic analysis, which were later grouped under four categories. Three themes were deducted from these categories and were related to supervisors, College of Physicians and Surgeons (CPSP) and students. Conclusion: Most of the students had issues in preparing synopses, mainly due to lack of supervisor’s and CPSP support. The student-as-researcher needs the support of supervisor, and / or a mentor. Therefore, CPSP needs to consider the organization of more workshops and the creation of research facilitation centers in each hospital to help the students complete their synopses and dissertations.
The Role of Information Experience on IT Professionals’ Twitter Use

Abstract Twitter acts as an information gateway as it provides a place where professionals network and share their knowledge. Twitter has increasingly influenced the way people use and share information. However, limited research demonstrates IT professionals’ information experience on Twitter impacts the way they use it for professional purposes. The study aimed to understand how such information experiences impact on the way IT professionals use Twitter for professional purposes. Eleven IT professionals were recruited for this study to understand the participants’ information experience through their own individual perspective, with the data analysed using constructive grounded theory. This study revealed that IT professionals’ information experience plays a vital role in creating professional networking and knowledge sharing in online spaces. These lived experiences influence the way IT professionals use Twitter for professional purposes. Thus, the findings of this study contribute to theoretical perspectives in the understanding of information experience perspectives within Twitter, along with a foundational understanding of the ways in which microblogging is used for professional purposes. The findings can help organisations understand and provide for this emerging channel of professional information sharing for its staff and stakeholders.
Quantitative trait loci mapped for TCF21 binding, chromatin accessibility and chromosomal looping in coronary artery smooth muscle cells reveal molecular mechanisms of coronary disease loci

Background To investigate the epigenetic and transcriptional mechanisms of coronary artery disease (CAD) risk, as well as the functional regulation of chromatin structure and function, we have created a catalog of genetic variants associated with three stages of transcriptional cis-regulation in primary human coronary artery vascular smooth muscle cells (HCASMC). Results To this end, we have used a pooling approach with HCASMC lines to map regulatory variation that mediates binding of the CAD associated transcription factor TCF21 with ChIPseq studies (bQTLs), variation that regulates chromatin accessibility with ATACseq studies (caQTLs), and chromosomal looping with HiC methods (clQTLs). We show significant overlap of the QTLs, and their relationship to smooth muscle specific genes and the binding of smooth muscle transcription factors. Further, we use multiple analyses to show that these QTLs are highly associated with CAD GWAS loci and correlated to lead SNPs in these loci where they show allelic effects. We have verified with genome editing that identified functional variants can regulate both chromatin accessibility and chromosomal looping, providing new insights into functional mechanisms regulating chromatin state and chromosomal structure. Finally, we directly link the disease associated TGFβ1-SMAD3 pathway to the CAD associated FN1 gene through a response QTL that modulates both chromatin accessibility and chromosomal looping. Conclusions Together, these studies represent the most thorough mapping of multiple QTL types in a highly disease relevant primary cultured cell type, and provide novel insights into their functional overlap and mechanisms that underlie these genomic features and their relationship to disease risk.
Cytidine deaminase 2 is required for VLRB antibody gene assembly in lampreys

Functional assembly of lamprey antibody genes depends on CDA2, a gene related to mammalian activation-induced cytidine deaminase, AID. Antibody assembly in lampreys For B lymphocytes in jawless vertebrates to produce antibodies, a combination of VLRB gene cassettes must be stitched together to create a functional antibody gene. Circumstantial evidence based on gene expression data had previously implicated the CDA2 cytidine deaminase in this process but genetic proof was lacking. By devising techniques for CRIPSR-Cas9–mediated mutagenesis of in vitro fertilized lamprey eggs and subsequent rearing of lamprey larvae in the laboratory, Morimoto et al. showed that loss-of-function mutations in CDA2 result in loss of antibody gene assembly without disrupting the formation of functional genes encoding lamprey T cell receptors. The methods pioneered in this study establish lampreys as a genetically tractable model system and will facilitate further advances in understanding immunity in this ancient group of vertebrates. The antibodies of jawless vertebrates consist of leucine-rich repeat arrays encoded by somatically assembled VLRB genes. It is unknown how the incomplete germline VLRB loci are converted into functional antibody genes during B lymphocyte development in lampreys. In Lampetra planeri larvae lacking the cytidine deaminase CDA2 gene, VLRB assembly fails, whereas the T lineage–associated VLRA and VLRC antigen receptor gene assemblies occur normally. Thus, CDA2 acts in a B cell lineage–specific fashion to support the somatic diversification of VLRB antibody genes. CDA2 is closely related to activation-induced cytidine deaminase (AID), which is essential for the elaboration of immunoglobulin gene repertoires in jawed vertebrates. Our results thus identify a convergent mechanism of antigen receptor gene assembly and diversification that independently evolved in the two sister branches of vertebrates.
A novel framework for spatiotemporal monitoring and post‐signal diagnosis of processes with image data

Advances in digital equipment and organizations' interest in having comprehensive and real‐time information about products have increased the use of machine vision systems in organizations. In this paper, to monitor a sensory quality characteristic of a product based on images, the residual matrix of the intensity values of the nominal and captured images is divided into specific regions; then, the equality of the means of the regions is tested based on one‐way ANOVA. To do so, a P‐value–based control chart is applied to detect the out‐of‐control state as soon as possible. If an out‐of‐control alarm is received, Dunnett's test is used to identify region(s) with significant differences in the means of residuals (defective location[s] in the image) compared with other regions. After the locations of defective regions are identified, the change point of the process is estimated by using the maximum likelihood estimation approach. The performance of the proposed procedure is compared with some of the previous approaches in the literature. Then, the proposed procedure is implemented in a real‐world case. The simulation study demonstrates the merits of the proposed procedure: It is not limited to specific geometric types of faults; it has the ability to detect multiple faults in the image; it takes less computational time; and it performs well in estimating the real time of change, as well as the location(s) and dimension(s) of the fault(s).
DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection

We present DANdroid, a novel Android malware detection model using a deep learning Discriminative Adversarial Network (DAN) that classifies both obfuscated and unobfuscated apps as either malicious or benign. Our method, which we empirically demonstrate is robust against a selection of four prevalent and real-world obfuscation techniques, makes three contributions. Firstly, an innovative application of discriminative adversarial learning results in malware feature representations with a strong degree of resilience to the four obfuscation techniques. Secondly, the use of three feature sets; raw opcodes, permissions and API calls, that are combined in a multi-view deep learning architecture to increase this obfuscation resilience. Thirdly, we demonstrate the potential of our model to generalize over rare and future obfuscation methods not seen in training. With an overall dataset of 68,880 obfuscated and unobfuscated malicious and benign samples, our multi-view DAN model achieves an average F-score of 0.973 that compares favourably with the state-of-the-art, despite being exposed to the selected obfuscation methods applied both individually and in combination.
The Suspended Self: Liminality in Breast Cancer Narratives and Implications for Counselling

In the field of chronic and serious illness, meaning-making with regards to the illness experience has been shown to be a core process for patients. This study focuses on women's narratives of their experiences of living with breast cancer. Within the framework of narrative psychology, illness narratives are considered to provide the main means through which patients make sense of their illness experience and construct its place in their life story. In this paper, we present findings from a narrative study that aimed to explore the different meanings that breast cancer holds for Greek women. In the broader study, four basic narrative types about breast cancer emerged from the analysis. In this paper, we focus on one of these narrative types, in which illness is constructed as an entrance into a state of liminality and where the women's sense of self seems to be “suspended”. The core features of this narrative type are described and arguments are developed regarding its usefulness. We argue that this is a narrative type that deserves further attention, particularly as it seems to reflect a socially non-preferred storyline, which might result in these women's stories being sidestepped or silenced. The implications of this narrative type for healthcare and counselling in cancer care are discussed.
Ovarian Cancer: Knowledge of Risk Factors and Symptoms among Working Malaysian Women

34 4 Abstract: Ovarian cancer causes more deaths than any other gynecologic cancer, but it accounts for only about 3% of all cancers in women. The objective of this study was to determine the knowledge and associated factors of working Malaysian women about ovarian cancer. A cross-sectional study was conducted in Kuala Lumpur, Malaysia from June until September 2012. A self-administered questionnaire consists of 4 sections: socio-demographic characteristics; general awareness on ovarian cancer and symptoms. A total number of 250 women participated in this study. The majority of them younger than or 30 years old (66%), Malay (40.8%), single (65.6%), degree holders (46.0%), from urban areas (88.4%) and with income less than or equal to 2000 Ringgit Malaysia. Overall the knowledge of the Malaysian working women was very poor, the highest knowledge was on the Pelvic and/or abdominal swelling, bloating and/or feeling of fullness symptoms (33.6%) and the lowest was about unexplained changes in bowel habits (24.4%). Similarly, the participants in this study showed a poor knowledge about risk factors too. Personal or family history of breast, ovarian, or colon cancer (43.2%) was the highest symptoms mentioned by the participants and the lowest was undesired infertility (29.6%). For Multivariate analysis; multiple linear regression showed that only residency was significantly influence the knowledge towards ovarian cancer of Malaysian working women. Conclusion: This study found poor knowledge among Malaysian women about ovarian cancer. There is a significant different between those from urban and rural areas. More attention should be given to the rural areas. Annual ovarian cancer campaign should be organized nationwide to increase the awareness of women about ovarian cancer
Development of a descriptive study of work stress, physical activity, eating habits and obesity in the maquiladora industry using software applications

Workers around the world face major changes in work organization and industrial relations to fulfill the demands of modern working life. The problem of work stress and obesity have become rather delicate subjects because of the negative consequences it brings for employees and companies. The objectives of this research are perform a descriptive analysis using the SPSS v.23 software on work stress, physical activity, eating habits and obesity in the industry for sample characterization. Methods entail the application of a questionnaire for gathering information, the creation of the database in the software and the accomplishment of the descriptive analysis of each section of the questionnaire with the help of the software. As results, physical activity is that all three dimensions show the degree of sedentariness as values fall below 9. As for the diagnosis of eating habits, from the resulting scores, population shows a diagnosis of food anxiety since all the dimensions of the instrument were among the mean values obtained. As conclusions, manufacturing industries must take preventive actions to reduce them by increasing physical activity and improving eating habits among staff. It is also recommended to implement techniques to improve health, ergonomics and safety practices in the manufacturing industry so it is that all three dimensions engage in more activity that is physical.