Miracle-dz/UniFAR-FTUs huggingface dataset:
A Qualitative Exploration of Womens’ Experiences Who Belong to a “Fitness Community”

ABSTRACT Background: A promising method for improving physical inactivity among women is to increase their engagement in group-based exercise programs. Fitness communities are exercise groups that practice the principles of group dynamics and promote a lifestyle of physical activity by engaging members through social media and hosting social event/hangouts outside of the gym or “fitness” setting. Purpose: The purpose of this study was to examine the role of “fitness communities” as a mechanism for increasing engagement in physical activity. Methods: In-depth, semi-structured interviews (N = 15) from women who were members of an established fitness community (i.e. Titan Fitness; the original name has been changed for purposes of anonymity) in Southern California. Results: Results suggested that the women’s experiences in Titan Fitness were encompassed by six sub-themes which were the following: Structured Exercise Classes with Group Dynamics: (1) personal and group accountability and (2) minimizing intimidation; Social Media Engagement: (3) empowerment and (4) accountability via online engagement; and Engagement Outside of the Physical Gym Setting: (5) in-group engagement and (6) out-group (extended) engagement. Discussion: Our findings illustrated that community members that were engaged in all three components of a fitness community described improved physical activity adherence. Translation to Health Practice: These findings may benefit fitness professionals, researchers, and Health Education practitioners who desire to develop innovative theoretically-based interventions for women having difficulty with physical activity adherence.
Systematic Investigation of the Asiana Airlines 214 Air Crash Using the AcciMap Methodology

This paper utilizes the AcciMap methodology, which was originally developed by Rasmussen in 1997, to systematically investigate the unfortunate aviation accident of Asiana Airlines 214 in San Francisco on July 6, 2013, which resulted in 3 fatalities and the complete loss of the aircraft. This paper captures the associated socio-technical factors into a hierarchical map that correlates the multiple levels of interaction between different categories and key involved players that ultimately resulted in this air crash. In most accidents, including the Asiana Airlines 214, majority of the blame is laid on front-line operators. In this accident, the pilots are blamed for not adhering to standard operating procedures and training guidelines of Asiana Airlines. This is while accidents do not occur as the act of individuals, but rather due to highly responsive and combined processes that involve decisions of several layers of key players. Some of the other significant contributing factors to this accident are lack of overseeing and enforcing regulations; insufficient training provided by the airline company to pilots; no specific requirements by the company to mandate physical/manual, instead of only simulated, line training; cockpit culture; and complex flight control manuals. The AcciMap methodology has been applied to analyze accidents in different industries, such as railroad, offshore drilling and chemical processing. It is, however, noteworthy that due to our knowledge, this methodology has been used for the analysis of very few aviation accidents.
The Impact of Personality on Scholarly Performance in the Light of Intervening Job of Scholarly Motivation

Purpose: This comparative study holistically assesses the effect of personality on scholastic motivation and scholarly performance. Design/Methodology/Approach: The contribution and the relevant methodology are based on an educational motivation interceded the association between openness to experience and standards with scholarly performance. The research sample consists of students who willfully participated and they were approached to finish a personality poll (NEO-FFI), and a scholastic motivation survey (AMS-C 28, included GPA and statistic information) on a pioneering critical comparative structural model. Findings: Based on the implied arguments and yielded results, the article considers the interceding role of scholastic motivation about personality and performance. The nature of these relations, can be a point of takeoff to assist inquires about this issue. Practical implications: Based on addressing its structural purposes, the study sheds a new light on the conscientiousness that predicts both intrinsic and extrinsic motivation. Earlier investigations show that there is a relationship between openness to involvement and insights. Originality/Value: Although this study builds upon recent studies about character, motivation and different factors can affect scholastic performance that can be analyzed in future investigations as an innovative idea for the harmonization in this field.
Deeply Infiltrative Endometriosis: Clinical Outcome after Surgery in Adults and Pathways to Potential Prevention in Adolescents

Endometriosis: final diagnosis and treatment Endometriosis is a disease observed in women in the reproductive age when endometrial-like tissue is present outside the uterine cavity. This induces a chronic, inflammatory reaction. The symptoms of the disease can vary from absent to mild or strong pain during the menstruation or provoking chronic abdominal pain with impact on the general physical, mental and social well being.
Small Town Values: Exploring the Values of Latina College Students from Rural Communities

ABSTRACT This multiple-case study sought to understand the values of Latina college students from rural communities and how those values impacted their choices concerning higher education. Archival records, artifacts, interviews, and other documents created a holistic view of each individual case. A Chicana feminist framework allowed researchers to examine how the participants’ Latina identity, as well as their rural communities, informed their values. Analysis of the data revealed the responsibility that students felt toward their family and community as well as the important role of matriarchs in the formation of the young women’s values and behavior.
Characterization and phylogenetic analysis of the complete Green-winged macaw (Ara chloropterus) mitogenome

Abstract In this study, we sequenced and characterized the complete mitochondrial genome of Green-winged macaw (Ara chloropterus) listed on CITES Appendix II. The circular double-stranded genome was 16,991 bp in size and included 22 transfer RNA (tRNA) genes, 13 protein-coding genes (PCGs), two ribosomal RNA genes (rrnL and rrnS), and one non-coding control region (D-loop). Both order and arrangement of genes were identical to those of other animal mitogenomes. The base content was 30.00% A, 14.38% G, 23.27% T, and 32.35% C, with an A + T content of 53.37%. Furthermore, phylogenetic analysis indicated that A. chloropterus is closely related to the Blue and yellow macaw (A. ararauna).
Management Practices And Technical Efficiency of MASIPAG Rice Farmers in Isabela, Philippines

The study was conducted to assess the Management practices and technical efficiency of the MASIPAG rice farmers in Isabela, Philippines. A total of 64 respondents were interviewed. Data were analyzed with descriptive and inferential statistics using Stochastic Frontier Analysis. The data revealed that 82.81% of farmers were male and 17.19 % were female, farmers have an average age of 43.94. The average household size were 5.72, majority of the farmers finished high school, average number of years in farming of 23.84, most of the respondents farmers owned their land that they till, average number of training were 1.06, farmers have an average income of Php 47,687.50. The result showed that the average amount of seed applied by the MASIPAG farmers were 55.66 kilograms per hectare. MASIPAG used organic fertilizer. In terms of managing pest in their production, MASIPAG farmers used natural materials like FPJ, FFA, and FAA. SFA indicated that seeds, fertilizer, pre and post-harvest labor and capital were found to be significant indicators of technical efficiency at 1% level of significance. Technical inefficiency model showed that age, farming system, household size, educational attainment, number of years in farming, type of soil, crop establishment were found to be significant indicators of technical efficiency for the MASIPAG farmers.
Accurate and reproducible prediction of ICU readmissions

Readmission in the intensive care unit (ICU) is associated with poor clinical outcomes and high costs. Traditional scoring methods to help clinicians deciding whether a patient is ready for discharge have failed to meet expectations, paving the way for machine learning based approaches. Freely available datasets such as MIMIC-III have served as benchmarking media to compare such tools. We used the OMOP-CDM version of MIMIC-III (MIMIC-OMOP) to train and evaluate a lightweight tree boosting method to predict readmission in ICU at different time points after discharge (3, 7 and 30 days), outperforming existing solutions with an AUROC of 0.805 for 3-days readmission.
Low-Energy Voice Activity Detection via Energy-Quality Scaling From Data Conversion to Machine Learning

In this work, voice activity detection (VAD) systems with system-level energy-quality (EQ) scaling are investigated. Compared to prior single-knob EQ scaling, multiple EQ knobs are selectively inserted into the entire signal chain from end to end. EQ knobs are dynamically co-optimized to minimize energy for a given quality target. The analysis shows that system-level EQ optimization provides several benefits and has interesting implications on the performance of machine learning-based classification, as exemplified by decision trees in this work. First, it can make quality degradation more graceful than single-knob, allowing for more aggressive energy reduction under a given quality target, while retaining the ability to operate at full quality. Also, proper system-level EQ optimization enhances fitting in machine learning-based systems (e.g., decision tree-based), suppressing both underfitting and overfitting. The analysis also shows that context-specific retraining significantly improves quality and resolves fitting issues, especially at low input SNR. Measurements on a 28nm testchip show that system-level EQ scaling can reduce energy by up to 3.5X at 2% accuracy degradation in 10-dB noise, compared to full quality. Iso-technology comparison shows that the minimum energy of 51.9 nJ/frame is lower than prior art by 1.9-74.4X at comparable speech/non-speech hit rates.
Robotic Surgery in India

*Senior Consultant Surgeon – Minimal Access Surgery (Gastro intestinal, Robotic, Bariatric & Thoracoscopy)m Apollo Hospital, New Delhi, India. Correspondence and Reprint Requests: Department of Surgery, Apollo Hospital, New Delhi, India. Received: December 28, 2013 | Accepted: December 30, 2013 | Published Online: January 09, 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (creativecommons.org/licenses/by/3.0) Conflict of interest: None declared | Source of funding: Nil Background
Pattern of drugs prescribed for treatment of hypertensive patients: Bangladesh

The exponential increase in patients with hypertension puts an enormous burden on healthcare providers. To describe the trends in the prescription of antihypertensive medication in a tertiary care hospital, Bangladesh is the objective of the study. This is a hospital based descriptive cross sectional study conducted at the Medicine outpatient Department in Dhaka Medical College Hospital. Patients more than 20 years of age suffering from Hypertension were included in the study. Data was collected by interviewing using a semi-structured questionnaire and analysed by computer with the help of SPSS 16. A total hundred patients were included in the study and 61.6% patients were prescribed on single drug and 38.4% patients were prescribed on combined therapy. Among the prescriptions having single anti-hypertensive medication most commonly used drugs are Angiotensin Receptor Antagonist (37.3%), Calcium Channel Blocker (32.8%), and ACE Inhibitor (17.9%), Beta Blocker (6%), Alpha Blocker (3%), Thiazide and non-Thiazide Diuretics 1.5% each. Among the prescriptions having combined drug therapy Angiotensin Receptor Blocker along with Calcium Channel Blocker and Calcium Channel Blocker along with Beta Blocker were equally (28.1%) chosen by the physicians and use of Angiotensin Receptor Blocker along with Diuretics was 25%, ACE Inhibitor with Calcium Channel Blocker 3.1%, ACE Inhibitor with Diuretics 3.1%, Thiazide and Non Thiazide Diuretics was 3.1% and other drugs were used for 9.5%. Pattern of using antihypertensive medications varies according to presence of co-morbidities and duration but does not vary significantly between male and female patients. Key words: Anti-hypertensive drugs, hypertension, prescription pattern, management of hypertension.
Neighborhood optimization of intelligent wireless mobile network based on big data technology

With the rapid construction and deployment of LTE, the multi-standard, multi-element and multi-level network topology framework of mobile wireless network has been formed, and the fine configuration of neighborhood has become the primary guarantee of the wireless network. In view of the shortcomings of traditional network performance, this paper proposes a time series prediction algorithm based on large data by using a large number of real network existing data and combining the characteristics of big data. Based on the time series feature extraction process of large data method, this paper introduces the concept of burst component and uses different methods to extract component feature to mine the massive data in depth, so as to optimize the intelligent neighborhood of mobile communication network. Then, anomaly detection of the core performance indicators of the wireless mobile network is proposed. Finally, data analysis is carried out for each type of cell, and data prediction is used to obtain the operation state, the proposed optimization algorithm improves the success rate of the wireless network. Experiments verify the reliability and superiority of the algorithm proposed in this paper, especially, the accuracy of the proposed method improves by 5%.
Pass Rates in Introductory Programming and in other STEM Disciplines

Vast numbers of publications in computing education begin with the premise that programming is hard to learn and hard to teach. Many papers note that failure rates in computing courses, and particularly in introductory programming courses, are higher than their institutions would like. Two distinct research projects in 2007 and 2014 concluded that average success rates in introductory programming courses world-wide were in the region of 67%, and a recent replication of the first project found an average pass rate of about 72%. The authors of those studies concluded that there was little evidence that failure rates in introductory programming were concerningly high. However, there is no absolute scale by which pass or failure rates are measured, so whether a failure rate is concerningly high will depend on what that rate is compared against. As computing is typically considered to be a STEM subject, this paper considers how pass rates for introductory programming courses compare with those for other introductory STEM courses. A comparison of this sort could prove useful in demonstrating whether the pass rates are comparatively low, and if so, how widespread such findings are. This paper is the report of an ITiCSE working group that gathered information on pass rates from several institutions to determine whether prior results can be confirmed, and conducted a detailed comparison of pass rates in introductory programming courses with pass rates in introductory courses in other STEM disciplines. The group found that pass rates in introductory programming courses appear to average about 75%; that there is some evidence that they sit at the low end of the range of pass rates in introductory STEM courses; and that pass rates both in introductory programming and in other introductory STEM courses appear to have remained fairly stable over the past five years. All of these findings must be regarded with some caution, for reasons that are explained in the paper. Despite the lack of evidence that pass rates are substantially lower than in other STEM courses, there is still scope to improve the pass rates of introductory programming courses, and future research should continue to investigate ways of improving student learning in introductory programming courses.
Full-Color III-Nitride Nanowire Light-Emitting Diodes

III-nitride nanowire based lightemitting diodes (LEDs) have been intensively studied as promising candidates for future lighting technologies. Compared to conventional GaN-based planar LEDs, III-nitride nanowire LEDs exhibit numerous advantages including greatly reduced dislocation densities, polarization elds, and quantum-con ned Stark e ect due to the e ective lateral stress relaxation, promising high e ciency full-color LEDs. Beside these advantages, however, several issues have been identi ed as the limiting factors for further enhancing the nanowire LED quantum e ciency and light output power. Some of the most probable causes have been identi ed as due to the lack of carrier con nement in the active region, non-uniform carrier distribution, electron over ow, and the nonradiative recombination along the nanowire lateral surfaces. Moreover, the presence of large surface states and defects contribute signi cantly to the carrier loss in nanowire LEDs. Consequently, reported nanowire LEDs show relatively low output power. Recently, III-nitride core-shell nanowire LED structures have been reported as the most e cient nanowire white LEDs with a record high output power which is more than 500 times stronger than that of nanowire white LEDs without using core-shell structure. In this context, we will review the current status, challenges and approaches for the high performance IIInitride nanowire LEDs. More speci cally, we will describe the current methods for the fabrication of nanowire structures including top-down and bottom-up approaches, followed by characteristics of III-nitride nanowire LEDs. We will then discuss the carrier dynamics and loss mechanism in nanowire LEDs. The typical designs for the enhanced performance of III-nitride nanowire LEDs will be presented next. The color tunable nanowire LEDs with emission wavelengths in the visible spectrum, and phosphorfree nanowire white LEDs will be nally discussed.
Initial Description of Pilotage and Tug Services in the Context of e-Navigation

The International Maritime Organization (IMO)’s Maritime Safety Committee (MSC), at its 101st session (5 to 14 June 2019), adopted Resolution MSC.467(101) on the guidance on the definition and harmonization of the format and structure of maritime services in the context of e-Navigation and agreed to consolidate the descriptions of maritime services and to consider them together with all involved international organizations and interested member states, in order to harmonize the provision and exchange of maritime information and data. In doing so, the MSC also approved the initial descriptions of maritime services in the context of e-Navigation (IMO MSC.1/Circ.1610), which had been prepared by the Sub-Committee on Navigation, Communications and Search and Rescue, at its sixth session (16 to 25 January 2019). The information contained in this paper constitutes the descriptions of two selected examples of maritime services, an initial contribution for the harmonization of the formats and structures of pilotage and tug services. The initial description of each of maritime services is expected to be next periodically updated, taking into account developments and related work on international harmonization.
Classical biological control and apparent competition: Evaluating a waterhyacinth invaded community module

1. The scope and complexity of interactions within community food webs necessitates their simplification to a community module scale for conducting em - pirical studies. An outdoor mesocosm study in the USA quantified the strengths of direct and indirect interactions between two herbivore congeners that fed on two aquatic plant species while sharing a parasitoid. 2. Kalopolynema ema (Hymenoptera: Mymaridae) is a stenophagous native egg parasitoid that attacks the hemipteran species in this study, Megamelus davisi (Hemiptera: Delphacidae), a native herbivore that feeds on the native aquatic species Nuphar advena , and the introduced biological control agent Megamelus scutellaris (Hemiptera: Delphacidae) that feeds on the non-native aquatic species waterhyacinth, Pontederia crassipes . 3. The presence of M. scutellaris did not
A comparative study on single- and double-arc deposition processes

ABSTRACT Arc additive manufacturing based on gas metal arc welding (GMAW) can decrease the cost and increase the efficiency of manufacturing large-sized components. In this paper, a double-arc additive manufacturing process for stainless steel 316L (SS316L) based on GMAW that does not use more power than the single-arc process is proposed. In addition, this study compared single- and double-arc additive manufacturing processes by analyzing the morphology, microstructure, and mechanical properties. The results indicate that with the same power, the deposition rate of the double-arc process was 1.25 times higher than that of the single-arc process. Further, the increased number of welding wires and the induced stirring of the molten pool produced finer grains. In addition, the average Vickers hardness and tensile strength of the double-arc sample were 0.6% and 3.5% higher than those of the single-arc samples, respectively, while the elongation was 0.34% lower, and the tensile properties had a similarity of over 90% with those of the SS316L wire.
Changes in Hospital Nursing Employment after Linking Payment to Nurse Staffing

This study examines the effect of a national legislation linking hospital payment to nurse staffing levels, which was established for Korean hospitals in late 1990s. There are many researches showing that financial incentives have been widely adopted to improve hospital performance. However, little is known about whether the approach is effective in increasing nurse staffing in a hospital. A decade of experience in Korean nursing payment system provides a testable case to examine the effectiveness of the approach. We used time series data on hospital-level nurse staffing and a nationwide survey of hospital nurses to compare before and after the legislation. Results show an increasing trend of RN employment after implementing the reform. The growth of nurse staffing appeared to differ depending on hospital type. Nurse employment is less likely improved in mid and small size general hospitals compared to large size tertiary hospitals. Nurse outcomes including job dissatisfaction, burnout, and intention to leave were not significantly improved among our study sample hospitals.