Miracle-dz/UniFAR-FTUs huggingface dataset:
Physicians' Experiences with Male Patients Who Perpetrate Intimate Partner Violence

Introduction: Despite the prevalence of intimate partner violence (IPV), there is a paucity of research exploring the role that physicians might play in intervening with IPV perpetrators. Methods: A qualitative study explored interactions between family medicine physicians and male perpetrators of IPV. Fifteen physicians were purposefully sampled from 1 hospital system. The physicians were individually interviewed using a semistructured interview guide, and interview transcripts were analyzed using techniques from grounded theory. Results: Three main themes relating to physicians' experiences were identified: (1) how physicians learned of or identified IPV perpetration by men (usually disclosure by the victim, but perpetrators also disclosed it); (2) how physicians assessed for comorbidities or responded to IPV perpetration by men; and (3) facilitators of and barriers to physician identification of and response to IPV perpetration by men. Facilitators identified include having a trusting relationship with the perpetrator and support services, whereas barriers consisted of strong negative emotions and a lack of training. Conclusions: Family medicine physicians in this sample reported feeling underprepared to serve patients whom they know are perpetrators of IPV, particularly if they are also providing care to the victim. Additional research is needed to develop interventions and effective trainings.
ECG Human Identification with Statistical Support Vector Machines

Electrocardiogram (ECG) as a biological information, it has some special feature. Different people will have different ECG information, even one person has different ECG when he is under different body state. In this paper we use the Electrocardiogram (ECG) to identify disease or to detect different person. Firstly, we collect the ECG information form different body state of the different people. Secondly we will preprocess the ECG data by using a method of statistical. Thirdly we can use the support vector machine to train the data, and then classify different people's data into different class. And finally when there are one new ECG data, we can also use SVM to identify the new data. Because even one people have several ECG signal, with our statistical method, the classifier may gets better robust.
Design of ultra-thin polarization-insensitive circular-shaped microwave metamaterial absorber

An ultra-thin polarization-insensitive circular-shaped metamaterial based absorber has been presented based on Electric field driven LC (ELC) resonance. The basic unit cell consists of a metallic ELC resonator imprinted on FR-4 dielectric substrate backed by copper ground, which gives rise to high (99.85%) absorption at 11.07 GHz. The proposed structure is symmetric by design and thus exhibits high absorption for any angle of polarization. It also shows high absorption (80%) for incident angle upto 50° for both TE and TM polarizations. The absorption due to LC resonance of the proposed structure has been analyzed by varying different geometric parameters.
Influence of Lower Extremity Muscle Size and Quality on Stair-Climb Performance in Career Firefighters

Abstract Kleinberg, CR, Ryan, ED, Tweedell, AJ, Barnette, TJ, and Wagoner, CW. Influence of lower extremity muscle size and quality on stair-climb performance in career firefighters. J Strength Cond Res 30(6): 1613–1618, 2016—The purpose of this study was to examine the influence of lower extremity muscular size and quality on stair-climb performance (SCP) in career firefighters. Forty-six male career firefighters (age = 37.0 ± 7.2 years; stature = 180.2 ± 6.9 cm; body mass = 108.0 ± 19.8 kg) volunteered for this study. Panoramic ultrasound images of the vastus lateralis and rectus femoris were obtained to determine cross-sectional area (CSA) and echo intensity (EI) of each muscle. The CSA of each muscle was then summed together and normalized to body mass (CSA/BM [QCSA]). Additionally, EI was averaged across both muscles (QEI). Participants then performed a timed and weighted SCP assessment where they ascended and descended 26 stairs 4 times as quickly as possible while wearing a weighted vest (22.73 kg) to simulate the weight of their self-contained breathing apparatus and turnout gear. Bivariate correlations and stepwise regression analyses were used to examine the relationships among variables and the relative contributions of QCSA and QEI to SCP. Partial correlations were used to examine the relationship between QCSA and SCP and QEI and SCP while controlling for age and body mass index (BMI). The results indicated that QCSA and QEI were significantly related to SCP before (r = −0.492, p = 0.001; r = 0.363, p = 0.013, respectively) and after accounting for age and BMI (r = −0.324, p = 0.032; r = 0.413, p = 0.005, respectively). Both QCSA and QEI contributed significantly to the prediction of SCP (r = 0.560, p < 0.001). These findings indicate that lower extremity muscle size and quality are important contributors to critical firefighting tasks, which have been shown to be improved with resistance training.
Suicide Risk Among Perinatal Women Who Report Thoughts of Self-Harm on Depression Screens

OBJECTIVE: To estimate the incidence and clinical significance of suicidal ideation revealed during perinatal depression screening and estimate the associated suicide risk. METHODS: Retrospective cohort study of women completing the Edinburgh Postnatal Depression Scale at 24–28 weeks of gestation and 6 weeks postpartum through a suburban integrated health system with approximately 5,000 annual deliveries on two hospital campuses. Suicidal ideation on the Edinburgh Postnatal Depression Scale and prediction of suicide risk were examined through multivariable modeling and qualitative analysis of clinical assessments. RESULTS: Among 22,118 Edinburgh Postnatal Depression Scale questionnaires studied, suicidal ideation was reported on 842 (3.8%, 95% confidence interval [CI] 3.5–4.1%) and was positively associated with younger maternal age (antepartum mean age 30.9 compared with 31.9 years, P=.001), unpartnered relationship status (antepartum 29.5% compared with 16.5%, P<.001 and postpartum 25.0% compared with 17.5%, P<.01), non-Caucasian race (antepartum 62.1% compared with 43.8%, P<.001 and postpartum 62.4% compared with 45.2%, P<.001), non-English language (antepartum 11.0% compared with 6.6%, P<.001 and postpartum 12.4% compared with 7.7%, P<.01), public insurance (antepartum 19.9% compared with 12.5%, P<.001 and postpartum 18.2% compared with 14.2%, P<.001), and preexisting psychiatric diagnosis (antepartum 8.4% compared with 4.2%, P<.001 and postpartum 12.0% compared with 5.8%, P<.001). Multivariable antepartum and postpartum models retained relationship status, language, relationship status by language interaction, and race; the postpartum model also found planned cesarean delivery negatively associated with suicidal ideation risk (odds ratio [OR] 0.56, 95% CI 0.36–0.87) and severe vaginal laceration positively associated with suicidal ideation risk (OR 2.1, 95% CI 1.00–4.40). A qualitative study of 574 women reporting suicidal ideation indicated that 330 (57.5%, 95% CI 53.5–61.5%) experienced some degree of suicidal thought. Six patients (1.1%, 95% CI 0.2–1.9%) demonstrated active suicidal ideation with plan, intent, and access to means. Within this highest risk group, three patients reported a suicide attempt within the perinatal period. CONCLUSION: Among perinatal women screened for depression, 3.8% reported suicidal ideation, but only 1.1% of this subgroup was at high risk for suicide. These findings support the need for systematic evaluation of those who report suicidal ideation to identify the small subset requiring urgent evaluation and care. LEVEL OF EVIDENCE: II
Platelet proteomics

Summary. As anucleate cell particles, platelets do not lend themselves to analysis by traditional cell and molecular biology techniques. Moreover, while valuable information may be gleaned from studies of messenger RNA in platelets, the rapid events in platelets are not governed by or dependent on alterations in gene expression. In contrast, proteomics, the study of the protein complement of a genome, will have a major impact on platelet biology. It offers the opportunity to comprehensively describe the proteins involved in discrete elements of platelet function, from the subsecond events following platelet activation and adhesion through to platelet aggregation and granule secretion. As the function of every protein is understood and as the mechanisms that regulate protein modifications are unravelled, we will discover a wealth of proteins that are themselves potential therapeutic agents or novel targets for the development of diagnostics and drugs. Here we review the current applications of proteomics to platelet research. We briefly describe various proteomic approaches to unravel platelet biology, including the documentation of platelet proteins, the investigation of thrombin‐activated phosphotyrosine signaling networks and the analysis of the proteins that are secreted upon platelet activation. Proteomics is a young field and there are only a handful of published examples applying proteomics to platelet research. This number will increase over the next few years, as advances in analytical methods allow a more functional analysis of the platelet proteome.
Oxcarbazepine versus carbamazepine in the treatment of alcohol withdrawal

In a single‐blinded and randomized pilot study efficacy and tolerability of oxcarbazepine versus carbamazepine were investigated in 29 patients during therapy of alcohol withdrawal. No initial differences were found regarding sociodemographic data and alcohol‐related parameters, indicating successful randomization. The oxcarbazepine group showed a significant decrease of withdrawal symptoms and reported significantly less ‘craving for alcohol? compared to the carbamazepine group. Subjectively experienced side effects, normalization of vegetative parameters and improvement in the cognitive processing speed did not reveal differences for both groups. Therefore, oxcarbazepine might be an interesting alternative to carbamazepine, and having almost no addictive potential, no clinically relevant interaction with alcohol and no prominent sedatory effect, possibly also to other drugs such as benzodiazepines or clomethiazole, in the treatment of alcohol withdrawal syndrome.
Exploratory Search: Beyond the Query-Response Paradigm

As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model support d by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world. Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks
Using Automatic Failure Detection for Cognitive Agents in Eclipse: (Demonstration)

The main goal of our demonstration, is to show how an automated testing framework for cognitive agents facilitates the detection of failures and aids in the localization of faults. We have proposed an automated testing framework for cognitive agents and an associated test approach based on test templates for frequently occurring failure types. By using a concrete implementation of the testing framework for the GOAL agent programming language, an integration with the existing source-level debugger was created within the Eclipse environment, thus fully implementing the design within a state-of-the-art setting. This implementation and its source are publicly available, and used in our demonstration in order to illustrate concrete examples of its use, and provide insight into practical implementation details that may be valuable for the adaptation into other agent programming languages.
The Influence of national innovation system on university-industry research collaboration

University-Industry Research Collaboration (UIRC) is one of the key factors for continuous innovation. Existing literature argue that UIRC can be shaped by National Innovation System (NIS). However, empirical evidence that looks into factors of national innovation system that influence UIRC is still lacking. The main goal of this research was to propose a new framework based on system thinking theory by investigating the influence of national innovation system on university-industry research collaboration. To achieve this aim, data were collected from research centers at Electrical and Chemical Engineering Departments of five research universities in Malaysia. Data were analyzed quantitatively using Statistical Package for the Social Sciences (SPSS) and Partial Least Squares Structural Equation Modeling (PLS-SEM). Whereas, some qualitative data from top management of corresponding industries of research centers were analyzed using NVivo 11. Results from the study revealed that technological infrastructure system, financing system, intellectual property right system, the culture of innovation and education and skills system have some influence on UIRC. Besides that, R&D cooperation, financial support, trustworthy culture, contractual agreement, intellectual capital, knowledge sharing and communication played significant roles as reinforcing factors in the relationship between NIS and UIRC. This study pioneered the application of system thinking theory in university-industry link research. In terms of practical contribution, findings from the study may serve as a guideline for policymakers in formulating policies and strategies to strengthen the innovative capabilities of UIRC. The limitations of this study are the non-inclusions of Ministry of Higher Education (MOHE) and the Ministry of Science, Technology and Innovation (MOSTI) as significant respondents other than research universities and their collaborated industries. It is recommended that future framework development could be expanded by exploring further factors that might have more effects on UIRC.
A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia.

BACKGROUND MicroRNA expression profiles can be used to distinguish normal B cells from malignant B cells in patients with chronic lymphocytic leukemia (CLL). We investigated whether microRNA profiles are associated with known prognostic factors in CLL. METHODS We evaluated the microRNA expression profiles of 94 samples of CLL cells for which the level of expression of 70-kD zeta-associated protein (ZAP-70), the mutational status of the rearranged immunoglobulin heavy-chain variable-region (IgV(H) ) gene, and the time from diagnosis to initial treatment were known. We also investigated the genomic sequence of 42 microRNA genes to identify abnormalities. RESULTS A unique microRNA expression signature composed of 13 genes (of 190 analyzed) differentiated cases of CLL with low levels of ZAP-70 expression from those with high levels and cases with unmutated IgV(H) from those with mutated IgV(H) . The same microRNA signature was also associated with the presence or absence of disease progression. We also identified a germ-line mutation in the miR-16-1-miR-15a primary precursor, which caused low levels of microRNA expression in vitro and in vivo and was associated with deletion of the normal allele. Germ-line or somatic mutations were found in 5 of 42 sequenced microRNAs in 11 of 75 patients with CLL, but no such mutations were found in 160 subjects without cancer (P<0.001). CONCLUSIONS A unique microRNA signature is associated with prognostic factors and disease progression in CLL. Mutations in microRNA transcripts are common and may have functional importance.
First line nurse managers’ roles and involvement in continuing professional development of nurses

The roles of modern first line nurse managers (FLNMs) are greatly affected by the decentralization of healthcare systems, causing ambiguity in job delegation and increasing stress, disagreement and uncertainties. The roles of FLNMs have to be clear because their involvement in continuous professional development (CPD) of nurses is strongly correlated with them. Accordingly, this study intends to examine the FLNMs’ roles in terms of information processing (IP), interpersonal contact (IC), and decision making (DM) as factors affecting their involvement in nurses’ CPD. The concepts of the nurses’ CPD include lifelong learning, social proficiency improvement, career planning assessment, nursing care standard enhancement and quality improvement. The relationship between the FLNMs’ roles of Iranian Medical Science University Hospitals and nurses’ CPD was determined via the correlational quantitative study. Systematic literature review and experts’ validation were performed to modify and confirm the items of FLNMs roles in the nurses’ CPD. Three hundred eighty-four responses were analyzed through confirmatory factor analysis and a structural equation modeling. Generally, the measurement model confirmed that factors such as FLNMs involvement in the nurses’ CPD, IC, IP and DM are sufficient for the structural model construct with their correlations determined. DM has the strongest effect among FLNMs roles on the nurses’ CPD. FLNMs’ involvement in nurses’ CPD is affected by figurehead, leader, liaison, entrepreneur, disturbance handler and resource allocator roles while the roles of monitor, disseminator, spokesperson and negotiator are insignificant. There are significant differences in the confirmed FLNMs’ roles (except for monitor) and their involvement in the CPD of nurses, based on the FLNMs’ education and situational characteristics, and types of public hospitals. The results identified that the proposed model contributes to future design of relevant HRD assessment tool for a similar purpose.
Selection on the Human Immunodeficiency Virus Type 1 Proteome following Primary Infection

ABSTRACT Typically during human immunodeficiency virus type 1 (HIV-1) infection, a nearly homogeneous viral population first emerges and then diversifies over time due to selective forces that are poorly understood. To identify these forces, we conducted an intensive longitudinal study of viral genetic changes and T-cell immunity in one subject at ≤17 time points during his first 3 years of infection, and in his infecting partner near the time of transmission. Autologous peptides covering amino acid sites inferred to be under positive selection were powerful for identifying HIV-1-specific cytotoxic-T-lymphocyte (CTL) epitopes. Positive selection and mutations resulting in escape from CTLs occurred across the viral proteome. We detected 25 CTL epitopes, including 14 previously unreported. Seven new epitopes mapped to the viral Env protein, emphasizing Env as a major target of CTLs. One-third of the selected sites were associated with epitopic mutational escapes from CTLs. Most of these resulted from replacement with amino acids found at low database frequency. Another one-third represented acquisition of amino acids found at high database frequency, suggesting potential reversions of CTL epitopic sites recognized by the immune system of the transmitting partner and mutation toward improved viral fitness in the absence of immune targeting within the recipient. A majority of the remaining selected sites occurred in the envelope protein and may have been subjected to humoral immune selection. Hence, a majority of the amino acids undergoing selection in this subject appeared to result from fitness-balanced CTL selection, confirming CTLs as a dominant selective force in HIV-1 infection.
Exploring Information Flow Issues during the Implementation of a Campus Management System

The Bologna Declaration is an impetus for the implementation of enterprise systems at Higher Education Institutions (HEI) – so-called Campus Management Systems (CMS). The implementation of such enterprise systems leads to a change of organizational structures. This is a challenge especially for HEIs. As the communication and the flow of information are essential in such projects, we explore aspects that have a negative impact on the information flow. Considering the specific organizational structure of HEIs, it is important (1) to understand the specific, decentralized organizational structure and (2) to assign tasks and roles to adequate employees that are ‘professionals’ or that are supported by ‘professionals’. We conducted an exploratorycase study at a large university with more than 40,000 students.
Analyse de données symboliques : une méthode divisive de classification

Cette these est axee sur le probleme de la classification en analyse des donnees symboliques. Un formalisme est d'abord propose dans le but de decrire et de manipuler un tableau de donnees exprimant un niveau de connaissances plus eleve que de simples observations. On parle alors de donnees complexes. En effet, afin de tenir compte de l'imprecision, de l'incertitude ou de la variation souvent rencontrees dans les donnees, un individu pourra etre decrit sur chaque variable non seulement par une valeur unique mais aussi par un ensemble de valeurs ou par une distribution sur les valeurs. A partir de ce formalisme a) on propose une methodologie generale permettant de definir un indice de proximite entre deux vecteurs de descriptions complexes et b) les objets symboliques sont presentes en lien avec la theorie des ensembles flous. Dans ce cadre, nous proposons une methode divisive de classification hierarchique. Elle est definie pour tous types de variables (quantitatives, qualitatives), possedant eventuellement une description complexe. A chaque etape on optimise un critere mathematique qui est une extension du critere d'inertie intra-classe au cas de donnees complexes. L'aspect nomothetique de cette methode permet de reduire fortement l'aspect combinatoire caracterisant les methodes divisives. De plus, les classes de la hierarchie sont munies d'une description simple (une conjonction de proprietes portant sur les variables de l'analyse) facilement interpretable par l'utilisateur. Ces descriptions donnent aussi des regles d'affectation d'un nouvel individu aux classes ainsi construites.