Miracle-dz/UniFAR-FTUs huggingface dataset:
Technology Acceptance and User Experience

Understanding the mechanisms that shape the adoption and use of information technology is central to human--computer interaction. Two accounts are particularly vocal about these mechanisms, namely the technology acceptance model (TAM) and work on user experience (UX) models. In this study, we review 37 papers in the overlap between TAM and UX models to explore the experiential component of human--computer interactions. The models provide rich insights about what constructs influence the experiential component of human--computer interactions and about how these constructs are related. For example, the effect of perceived enjoyment on attitude is stronger than those of perceived usefulness and perceived ease of use. It is less clear why the relations exist and under which conditions the models apply. We discuss four of the main theories used in reasoning about the experiential component and, for example, point to the near absence of psychological needs and negative emotions in the models. In addition, most of the reviewed studies are not tied to specific use episodes, thereby bypassing tasks as an explanatory variable and undermining the accurate measurement of experiences, which are susceptible to moment-to-moment changes. We end by summarizing the implications of our review for future research.
Modeling the dynamics of requirements process improvement

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A pilot study for exploring blood spot anti-mullerian hormone for population-based adolescent reproductive health research.

Introduction and objective Studies of Anti-Müllerian Hormone (AMH) rely upon serum measures and clinical samples of older reproductive-aged women intended/attempting pregnancy, with known fertility issues or medical morbidities. We explored the utility of minimally invasive AMH as a measure of fecundability in population-based reproductive health research. Methods We analyzed baseline data from 191 participants in a pilot, longitudinal cohort study, the Young Women's Stress Study. Using an integrated biosocial design, we collected interviewer-administered surveys on demographic, psychosocial, health, and method feasibility/acceptability information and finger-stick capillary dried blood spots (DBS). We used descriptive and bivariate statistics (correlation, T-tests, ANOVA) to estimate method feasibility/acceptability and unadjusted AMH mean concentrations overall and across sociodemographic, reproductive, and health covariates. Results AMH concentrations ranged from 1.02 to 22.23 ng/mL, with a mean of 5.66 ng/mL. AMH concentrations were associated with current hormonal contraceptive use, menstrual cycle frequency, and irregular menstrual patterns, but not with other known correlates. Most participants stated the DBS method was comfortable (81%) and would be likely to provide it again (88%). Conclusions While these pilot data suggest AMH fell within normal range and our DBS methods were acceptable/feasible, the broader question of its usefulness for population reproductive health research remains unanswered. Larger, longitudinal studies are needed to validate AMH against time-to-pregnancy and gold standard measures in young healthy samples and across different sociodemographic groups. Public health and social scientists should consider the resource costs of AMH, ethical issues, and risks of (over)interpretation, with a reproductive justice and human rights frame in mind.
Firm Entry and Exit in Continuous Time

In this paper, we will develop analysis of a model of firm’s exit and entry in a continuous time setting. We will build our analysis based on Hopenhayn (1992) firm dynamics framework and use the continuous time structure to solve the model. Solving the model in continuous time brings in many advantages such as lower computational cost and tractability of the model. However, there are some challenges too. One of the major challenges is to have entry cost in the model, i.e. to obtain a Hamilton-Jacobi-Bellman equation that incorporates the entry cost. We used a form of exit cost as the future value of the entry cost to avoid this problem. To do so, we have to keep track of the age distribution of the firms in addition to the shocks distribution, which makes our model richer than Hopenhayn’s (1992). To solve for the joint stationary distribution of the firms, we introduced a simple process for aging and got the Kolmogorov forward equation using the age and shock processes. Another important contribution of this paper is to introduce a way to deal with the Kolmogorov equation in two states with discontinuity and combine them into one equation that governs the state of the economy. The results obtained in this paper are in line with those reported in Hopenhayn (1992). However, the methods, tools, and the way of approaching the model differs depending on whether we solve the model in discrete or continuous time. The tools and procedures developed in this paper can easily be extended to other optimal stopping time problems.
Towards Benchmarking and Dissecting One-shot Neural Architecture Search

One-shot neural architecture search (NAS) has played a crucial role in making NAS methods computationally feasible in practice. Nevertheless, there is still a lack of understanding on how these weight-sharing algorithms exactly work due to the many factors controlling the dynamics of the process. In order to allow a scientiﬁc study of these components, we introduce a general framework for one-shot NAS that can be instantiated to many recently-introduced variants and introduce a general benchmarking framework that draws on the recent large-scale tabular benchmark NAS-Bench-101 for cheap anytime evaluations of one-shot NAS methods. To showcase the framework, we compare several state-of-the-art one-shot NAS methods, examine how sensitive they are to their hyperparameters and how they can be improved by tuning their hyperparameters, and compare their performance to that of blackbox optimizers for NAS-Bench-101.
Comparing the effects of interactive and noninteractive education using short message service on treatment adherence and blood pressure among patients with hypertension

Background: Poor treatment adherence among patients with chronic conditions is a major global health-care problem. Objectives: The aim of this study was to compare the effects of interactive and noninteractive education using short message service (SMS) on treatment adherence and blood pressure among patients with hypertension (HTN). Methods: This single-blind pretest–posttest randomized controlled clinical trial was conducted on 63 adult patients with HTN who were consecutively recruited from a military hospital in Tehran, Iran, and were randomly allocated to an interactive SMS (ISMS), a non-ISMS (NISMS), and a control group. Initially, all patients in all groups were individually trained about HTN and adherence to its treatments in a 45-min session. Then, four messages were weekly sent for four consecutive months to those in the ISMS and the NISMS groups. The Treatment Adherence Questionnaire for Patients with Hypertension was used to assess treatment adherence both before and after the study intervention. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were also measured before and every 1 month during the study. Data were analyzed using the paired sample t, the Chi-square, and the Fisher's exact tests as well as the one-way and the repeated-measures analysis of variance. Results: At baseline, the mean score of treatment adherence was 81.43 ± 9.15 in the ISMS group, 81.14 ± 7.21 in the NISMS group, and 83.38 ± 14.43 in the control group. After the intervention, the mean score of treatment adherence in the ISMS group significantly increased to 89.67 ± 4.47 (P = 0.003), while it insignificantly changed to 83.24 ± 7.18 in the NISMS group (P = 0.15) and to 87.86 ± 6.62 in the control group (P = 0.16). The among-group difference respecting the posttest mean score of treatment adherence was statistically significant (P = 0.004). Although the means of SBP and DBP significantly decreased in both the intervention groups (P < 0.05) and did not significantly change in the control group (P > 0.05), the among-group differences respecting the variations of SBP and DBP across the four measurement time points were not statistically significant (P > 0.05). Conclusion: ISMS-based education is effective in significantly promoting treatment adherence, while neither interactive nor NISMS-based educations are effective in significantly reducing blood pressure among patients with HTN.
Application of Mindfulness-Based Psychological Interventions in Infertility

Living mindfully helps one gain a deeper understanding into realities of life. It enables people to witness suffering, desire, attachments, and impermanence without any fear, anxiety, anger, or despair. This is considered the hallmark of true psychological insight. As a skill, mindfulness can be inculcated by anyone. Mindfulness helps in attending, getting aware and understanding experiences in a compassion and open-minded way. Research suggests that applying mindfulness in daily life has been known to tame our emotional mind and enabled people to perceive things “as they are” without ascribing expectations, judgments, cynicism, or apprehensions to them. This review unravels the therapeutic power of mindfulness meditation in the context of infertility distress. It serves to integrate the evidence on the effectiveness of mindfulness-based psychological interventions to improve the emotional well-being and biological outcomes in Infertility.
Assessing and Mitigating Bias in Medical Artificial Intelligence

Supplemental Digital Content is available in the text. Background: Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and health care. In this study, we aimed to (1) assess whether the performance of a deep learning algorithm designed to detect low left ventricular ejection fraction using the 12-lead ECG varies by race/ethnicity and to (2) determine whether its performance is determined by the derivation population or by racial variation in the ECG. Methods: We performed a retrospective cohort analysis that included 97 829 patients with paired ECGs and echocardiograms. We tested the model performance by race/ethnicity for convolutional neural network designed to identify patients with a left ventricular ejection fraction ≤35% from the 12-lead ECG. Results: The convolutional neural network that was previously derived in a homogeneous population (derivation cohort, n=44 959; 96.2% non-Hispanic white) demonstrated consistent performance to detect low left ventricular ejection fraction across a range of racial/ethnic subgroups in a separate testing cohort (n=52 870): non-Hispanic white (n=44 524; area under the curve [AUC], 0.931), Asian (n=557; AUC, 0.961), black/African American (n=651; AUC, 0.937), Hispanic/Latino (n=331; AUC, 0.937), and American Indian/Native Alaskan (n=223; AUC, 0.938). In secondary analyses, a separate neural network was able to discern racial subgroup category (black/African American [AUC, 0.84], and white, non-Hispanic [AUC, 0.76] in a 5-class classifier), and a network trained only in non-Hispanic whites from the original derivation cohort performed similarly well across a range of racial/ethnic subgroups in the testing cohort with an AUC of at least 0.930 in all racial/ethnic subgroups. Conclusions: Our study demonstrates that while ECG characteristics vary by race, this did not impact the ability of a convolutional neural network to predict low left ventricular ejection fraction from the ECG. We recommend reporting of performance among diverse ethnic, racial, age, and sex groups for all new artificial intelligence tools to ensure responsible use of artificial intelligence in medicine.
Early Detection of Myocardial Damage: A Multimodality Approach

Cardiovascular diseases are possible complications of antineoplastic treatment and may lead to premature morbidity and mortality among cancer survivors. A symptom-based follow-up is ineffective, and there are growing evidences that early detection of myocardial damage in patients treated with antineoplastic drugs is the key point to prevent the occurrence of damage and improve the prognosis of these patients. Different techniques have been proposed to monitor cardiac function in oncologic patients such as cardiac imaging (echocardiography, nuclear imaging, and cardiac magnetic resonance) and biomarkers (troponin and natriuretic peptides). The European Association of Cardiovascular Imaging/American Society of Echocardiography consensus document encourages an integrated approach to early detect cardiotoxicity.
Evaluation of psychometric properties of the caregiver burden inventory in parents of iranian children suffering from cancer

Background: The parents of children with cancer suffer from different physical and psychological health problems due to the burden of caregiving to their ill children. The Caregiver Burden Inventory (CBI) is among the most commonly used instruments for caregiver burden assessment. There is no data about its psychometric properties among the parents of children with cancer in Iran. Objectives: This study aimed to evaluate the psychometric properties of the caregiver burden inventory in parents of Iranian children suffering from cancer. Methods: This methodological study was conducted from April to September 2018 in the southwest of Iran. CBI was translated into Persian through the forward–backward method, and its face and content validity were assessed through both qualitative and quantitative methods. Then, its construct validity was assessed using exploratory and confirmatory factor analyses, and its reliability was assessed using the internal consistency and the test-retest stability assessment methods. The data for exploratory and confirmatory factor analyses were obtained from two separate samples of 125 parents. Results: From the 24 items, two items were deleted during content validity assessment due to their incompatibility with the Iranian culture. The impact scores, content validity ratios, and content validity indices of the remaining 22 CBI items were respectively more than 1.5, 0.46–1, and 0.80–1, and the scale-level content validity index was 0.8. Exploratory factor analysis revealed a five-factor structure for the Persian CBI which explained 64.24% of the total variance. Confirmatory factor analysis confirmed the five-factor structure. The Cronbach's alpha and the test-retest intraclass correlation coefficient of the Persian CBI were 0.907 and 0.90, respectively. Conclusion: The Persian CBI has acceptable psychometric properties and can be used to assess caregiver burden among the parents of children with cancer in Iran.
Autologous Bone Marrow-Derived Stem Cell Therapy for Asherman's Syndrome and Endometrial Atrophy: A 5-Year Follow-up Study

Background: Based on the role of bone marrow (BM) stem cells in regeneration of endometrium, refractory cases of Asherman's syndrome (AS) and endometrial atrophy (EA) may benefit with BM-derived intrauterine stem cell instillation. Aims and Objectives: To evaluate the role of BM-derived autologous stem cell therapy in endometrial regeneration and restoration of menstruation and fertility in refractory cases of AS and EA. Setting: This study was conducted at a tertiary care center. Design: This was a prospective, single-arm longitudinal study. Materials and Methods: Twenty-five cases with refractory AS or EA were included. BM-derived mononuclear stem cells were instilled into the subendometrial zone followed by oral estrogen therapy for 3 months. Menstrual flow and endometrial thickness (ET) were assessed at 3, 6, and 9 months and 5 years. Results: Statistical analysis was carried out using statistical software STATA version 12.0. Mean prestem cell transfer ET (mm) was 3.3 ± 1.0. At the end of 3 months, there was a significant increase in ET (mm) to 5.1 ± 1.9 (P = 0.001), but there was no significant change at 6 months (5.6 ± 1.5; P = 0.164), at 9 months (6.1 ± 1.7; P = 0.135), or at the end of 5 years. Six of the seven amenorrheic patients resumed menses. Three patients had a successful pregnancy outcome. Conclusion: Intrauterine stem cell treatment is a promising novel approach for refractory cases of AS and EA.
Document Addressed to Cardiovascular Echography Operators at the Time of COVID-19: A Document by the “Società Italiana di Ecocardiografia e CardioVascular Imaging” Board 2019–2021

The epidemic of COVID-19 has grown to pandemic proportions and the preventive and mitigation measures have been widely spread through the media. The cardiologists are called as consultants for the cardiovascular pathologies and echocardiography is a fundamental examination in many clinical situations, but not without risks for health staff. Società Italiana di Ecocardiografia e CardioVascular Imaging Council has decided to formulate a document aimed to highlight the importance of a correct indication and execution procedure of the echocardiogram during a COVID-19 pandemic.
Comparison of Dermoscopic Patterns at the Center and Periphery of Alopecia Areata Patch - A Cross-sectional Study in 100 Patients

Background: Dermoscopy is a noninvasive tool for the diagnosis of various dermatological disorders. Dermoscopy of alopecia areata (AA) aids in confirming the diagnosis and severity of the disease. Materials and Methods: A total of 100 patients of AA were evaluated with a dermoscope (×20 and × 200) to determine the dermoscopic features at the center and periphery of patches of AA. Results: Black dots were the most common dermoscopic finding at the periphery of AA patch among the study population, followed by yellow dots, vellus hair, broken hair, tapering/exclamation mark hair, kinking at the point of emergence of a hair shaft, piggy tail hair, and depressed follicular opening. At the center of the patch, yellow dots were the most common dermoscopic findings among the study population, followed by black dots, vellus hair, broken hair, and piggy tail hair. Conclusion: Black dots were the most common dermoscopic findings at the periphery of the patch. Yellow dots were the most common dermoscopic findings at the center of patch among the study population. Kinking at the point of emergence of the hair shaft was a new sign in this study seen at the periphery of the patches in 19 patients. It is the latest finding which requires further elaboration with larger sample size studies.
Multiple Uterine Leiomyomas in Multiple Endocrine Neoplasia Type 1 with a Novel MEN1 Gene Mutation

To report the clinical, hormonal, and genetic features of a female with multiple endocrine neoplasia type 1 (MEN1) with multiple uterine leiomyomas. The study was conducted at a tertiary care endocrinology unit. A 27-year-old female was diagnosed with prolactinoma, primary hyperparathyroidism (PHPT), and multiple uterine leiomyomas. In view of prolactinoma and PHPT, a clinical diagnosis of MEN1 syndrome was made. She also had multiple uterine leiomyomas for which myomectomy was done. Genetic analysis revealed a novel mutation c.1763C>T, p.S588L of MEN1 gene. The association of uterine leiomyomas with MEN1 is exceptionally rare. This is the first report of multiple uterine leiomyomas in a patient with MEN1 from our country and the first report of this mutation in the MEN1 gene in the world. We conclude that in the presence of multiple uterine leiomyomas and endocrine tumor, clinical examination and laboratory evaluation may uncover the diagnosis of MEN1 syndrome in these patients.
VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking

This paper presents an overview and comparative analysis of our systems designed for the TRECVID 2015 [1] multimedia event detection (MED) task. We submitted 17 runs, of which 5 each for the zeroexample, 10-example and 100-example subtasks for the Pre-Speciﬁed (PS) event detection and 2 runs for the 10-example subtask for the Ad-Hoc (AH) event detection. We did not participate in the Interactive Run. This year we focus on three diﬀerent parts of the MED task: 1) extending the size of our concept bank and combining it with improved dense trajectories; 2) exploring strategies for semantic query generation (SQG); and 3) combining our visual classiﬁers with audio and/or textual classiﬁers. Among our 17 submitted runs, the following runs achieved top performances: - VIREO MED15 MED15EvalFull PS 0Ex MED p-manualfused 1: zero-example system with manual SQG, fused with textual (OCR) and speech (ASR) information. - VIREO MED15 MED15EvalFull PS 10Ex MED p-ConceptBankIDTEK0OCR 1: 10-example system using our Concept-Bank feature fused with the improved dense trajectories and the 0Ex manual visual system and OCR. - VIREO MED15 MED15EvalFull PS 100Ex MED c-ConceptBankIDTJointProb 1: 100-example system using Concept-Bank feature fused with the improved dense trajectories, using the joint probability to create the score.
Genetic diversity of Plasmodium falciparum isolated from Yemen based on the genes of merozoite surface proteins (MSP) 1 and 2

Background: Malaria is still a public health problem in Malaysia especially in the interior parts of Peninsular Malaysia and the states of Sabah and Sarawak (East Malaysia). This is the first study on the genetic diversity and genotype multiplicity of Plasmodium falciparum in Malaysia. Methods: Seventy-five P. falciparum isolates were genotyped by using nested-PCR of MSP-1 (block 2) and MSP-2 (block 3). Results: MSP-1 and MSP-2 allelic families were identified in 65 blood samples. RO33 was the predominant MSP-1 allelic family identified in 80.0 (52/65) of the samples while K1 family had the least frequency. Of the MSP-2 allelic families, 3D7 showed higher frequency (76.0) compared to FC27 (20.0). The multiplicity of P. falciparum infection (MOI) was 1.37 and 1.20 for MSP-1 and MSP-2, respectively. A total of seven alleles were detected; of which three MSP-1 allelic families (RO33, MAD20 and K1) were monomorphic in terms of size while MSP-2 alleles were polymorphic (two 3D7 and two FC27). Heterozygosity (HE ) was 0.57 and 0.55 for MSP-1 and MSP-2, respectively. Conclusions: The study showed that the MOI of P. falciparum is low, reflected the low intensity of malaria transmission in Pahang, Malaysia; RO33 and 3D7 were the most predominant circulating allelic families. The findings showed that P. falciparum has low allelic diversity with a high frequency of alleles. As a result, antimalarial drug efficacy trials based on MSP genotyping should be carefully interpreted.