Miracle-dz/UniFAR-FTUs huggingface dataset:
Success Rules of OSS Projects using Datamining 3-Itemset Association Rule

We present a research to find the success rules of 134,549 Open Source Software (OSS) Projects at Sourceforge portal using Datamining 3-Itemset Association Rule. Seventeen types of OSS Project's data are collected, classified, and then analyzed using Weka datamining tool. The Datamining 3-Itemset Association Rule is used to find the success rules of these projects by assuming that the success of these projects are reflected by the number of downloads. The result are formulated into 9 success rules that may be used as guidelines by future initiators of OSS Project and other developers to increase the possibility of success of their projects.
Whispering-gallery modes in shielded hemispherical dielectric resonators

The results of the numerical and experimental investigations of whispering-gallery (WG) modes in shielded hemispherical dielectric resonators are presented in this paper. It is shown that the Q factor of WG modes in the shielded resonator can be ten times much higher than the Q factor of the similar open hemispherical dielectric-resonator modes. Shielding the resonator can decrease the dimensions of both the dielectric hemisphere and resonator as a whole, saving the high-Q factor of WG modes. The usage of a cylindrical shield and local flat reflectors in the experiment provides the investigation of the high-Q factor of WG modes in the resonator.
Carbonic anhydrase inhibitors: an update on experimental agents for the treatment and imaging of hypoxic tumors

ABSTRACT Introduction Hypoxic tumors, unlike normal tissues, overexpress proteins involved in oxygen sensing, metabolism, pH regulation, angiogenesis, immunological response, and other survival mechanisms, which are under investigation as antitumor drug targets. Areas covered Carbonic anhydrase (CA) isoforms CA IX and XII are among these validated antitumor/antimetastatic drug targets, with several of their inhibitors undergoing preclinical or clinical-stage investigations. Alone or in combination with other chemotherapeutic agents or radiotherapy, CA IX/XII inhibitors, such as SLC-0111, SLC-149, S4, 6A10, etc., were shown to inhibit the growth of the primary tumor, metastases, and invasiveness of many tumor types, being also amenable for the development of imaging agents. Expert Opinion SLC-0111 is the most investigated agent, being in Phase Ib/II clinical trials. In addition to its interference with extracellular acidifications, it has been shown to promote ferroptosis in cancer cells, another antitumor mechanism of this compound and the entire class. A large number sulfonamide and non-sulfonamide inhibitors have been developed using SLC-0111 as lead in the last three years, together with hybrid agents incorporating CA inhibitors and other anticancer chemotypes, including cytotoxins, telomerase, thioredoxin or P-glycoprotein inhibitors, adenosine A2A receptor antagonists, pyrophosphatase/phosphodiesterase-3 inhibitors or antimetabolites. All of them showed significant antitumor activity.
Multilevel Analysis of Activity and Travel Patterns: Accounting for Person- and Household-Specific Observed and Unobserved Effects Simultaneously

Activity and travel demand analysis can be greatly improved by a more realistic description of the relationship between activity engagement and trip-making behavior when person and household variation are accounted for jointly. Four activity pattern groups and four travel pattern groups, obtained in the past using cluster analysis and applied to behavioral indicators (e.g., activity frequency and duration), are analyzed using multinomial logit and multilevel multinomial logit (multi-MNL) models. All models include temporal, spatial (residence and workplace), household, and person effects. The multilevel models, designed for hierarchical data structures, also include correlated random components among the pattern options at the household and person levels. First, past research results are confirmed that contextual variables (e.g., household, neighborhood, time) are important explanatory variables for these activity and travel patterns and that temporal effects are much stronger for activity pattern groups than for travel pattern groups. Then, using the multi-MNL models, a complex structure in unobserved heterogeneity is identified in which choices are correlated among some patterns at the household level and among other patterns at the person level. Both travel and activity pattern analyses, however, indicate that unobserved heterogeneity should be accounted for at both levels when regression models are estimated.
A STUDY OF SCHEDULING RULES OF FLEXIBLE MANUFACTURING SYSTEMS : A SIMULATION APPROACH

This study examines the effects of scheduling rules on the performance of flexible manufacturing systems (FMSs). Several machine and AGV scheduling rules are tested against the mean flowtime criterion. In general, scheduling rules are widely used in practice ranging from direct applications as a stand-alone scheduling scheme to indirect application as a part of complicated scheduling systems. In this paper, we compare the rules under various experimental conditions by using an FMS simulation model. Our objective is to measure sensitivity of the rules to changes in processing time distributions, various levels of breakdown rates, and types of AGV priority schemes. A comprehensive bibliography is also presented in the paper.
Plasma Lead Concentration and Risk of Late Kidney Allograft Failure: Findings From the TransplantLines Biobank and Cohort Studies.

RATIONALE & OBJECTIVE Heavy metals are known to induce kidney damage and recent studies have linked minor exposures to cadmium and arsenic with increased risk of kidney allograft failure, yet the potential association of lead (Pb) with late graft failure in kidney transplant recipients (KTR) remains unknown. STUDY DESIGN Prospective cohort study in the Netherlands. SETTING & PARTICIPANTS We studied outpatient KTR (n=670) with a functioning graft for ≥1 year recruited at a university setting (2008-2011, NCT02811835) and followed, on average, for 4.9 (IQR, 3.4‒5.5) years. Additionally, end-stage kidney disease patients (n=46) enrolled in the ongoing TransplantLines Cohort and Biobank Study (2016-2017, NCT03272841) were studied at admission for transplantation and at 3, 6, 12, and 24 months after transplantation. EXPOSURE Plasma Pb was log2 transformed to estimate the association with outcomes per doubling of plasma Pb concentration and also considered categorically as tertiles of the Pb distribution. OUTCOME Kidney graft failure (restart of dialysis or re-transplantation) with the competing event of death with a functioning graft. ANALYTICAL APPROACH Multivariable-adjusted cause-specific hazards models where follow-up of KTR who died with a functioning graft was censored. RESULTS Median baseline plasma Pb was 0.31 (IQR, 0.22─0.45) μg/L among all KTRs. During follow-up, 78 (12%) KTR developed graft failure. Higher plasma Pb was associated with increased risk of graft failure (HR 1.59, 95% CI 1.14‒2.21 per doubling; P=0.006) independent of age, sex, transplant characteristics, eGFR, proteinuria, smoking status, alcohol intake, and plasma concentrations of cadmium and arsenic. These findings remained materially unchanged after additional adjustment for dietary intake and were consistent with those of analyses examining Pb categorically. In serial measurements, plasma Pb was significantly higher at admission for transplantation than at 3-months post-transplant (P=0.001), after which it remained stable over 2 years of follow-up (P=0.2). LIMITATIONS Observational study design. CONCLUSIONS Pretransplant plasma Pb concentrations, which fall after transplantation, are associated with increased risk of late kidney allograft failure. These findings warrant further studies to evaluate whether preventive or therapeutic interventions to decrease plasma Pb may represent novel risk-management strategies to decrease the rate of kidney allograft failure.
An approach to life estimation of electrical plant components in the presence of harmonic distortion

Harmonic distortion can affect significantly the reliability of electrical plant components by increasing the degradation rate of electrical insulation. This paper presents life models which enable estimation of failure times of the electrical insulation of the main components of industrial electrical plants, i.e. capacitors, cables, motors and transformers, when the prevailing aging stresses are voltage and temperature and harmonics give rise to considerable voltage and current distortion. The models are inserted in a probabilistic framework, which accounts for the inherently random nature of harmonics. It is shown that the degradation rate can become much larger than in the sinusoidal case, especially due to the contribution of harmonics to voltage peak magnification: also current distortion can play an important role. Hence, significant life reduction can be expected in the components which are subjected to harmonics.
Wearable dual-band composite right/ left-handed waveguide textile antenna for WLAN applications

An innovative, flexible, planar waveguide antenna operating in dual-band mode for WLAN applications is proposed. This antenna has a simple topology, is compact and is easy to manufacture fully using textiles. It involves loading by a composite right/left-handed waveguide to generate similar radiation patterns and low backward radiation in both operating bands. The latter property is extremely desirable for wearable applications as it avoids performance degradation due to dielectric coupling to the body, besides reducing possible health risks. Simulated and measured results indicate a good reflection and radiation performance agreement in both the 2.45 and the 5.4 GHz WLAN bands.
Profile of Major Risk Factors in Acute Coronary Syndrome (ACS) at Pusat Pelayanan Jantung Terpadu (PPJT) Dr. Soetomo Public Hospital Surabaya Between the Period of January-December 2019

Abstract: Background: Coronary heart disease (CHD) is a leading cause of death worldwide. One type of CHD that most often causes clinical manifestations and death is Acute Coronary Syndrome (ACS). In 2013 the prevalence of SKA in Indonesia reached 1.5% and it is estimated that it will continue to increase every year. Objective: This study aims to determine the profile of major risk factors for ACS sufferers in the Pusat Pelayanan Jantung Terpadu (PPJT) Dr. Soetomo Public Hospital Surabaya in the period January-December 2019. Methods: This study used a retrospective descriptive method to analyze the patient's electronic medical record (e-MR). Results: Out of 623 patients diagnosed with ACS, 429 were excluded from the research. 194 patients who met the inclusion criteria were studied with the following details: 19 APTS patients, 43 N-STEMI patients, and 132 STEMI patients. It was found that 73% of ACS patients were male, with the 55-64 years’ age group dominating by 46%. Based on blood pressure and serum cholesterol examination data, it was found that 51% of patients had hypertension and 77% of patients had dyslipidemia (40% hypercholesterolemia, 42% hypertriglyceridemia, 40% low HDL-C levels, and 34% high LDL-C levels). 60% patients had type-2 diabetes mellitus and 52% of patients had a history of smoking. Conclusion: 73% of ACS patients in this study were men. Most common age groups were 55-64 years old (46%), had hypertension by 51%, had dyslipidemia by 77% (40% hypercholesterolemia, 42% hypertriglyceridemia, 40% low HDL-C levels, 34% high LDL-C), had type-2 diabetes mellitus by 60%, and had a smoking history by 52%.
Analysis of Unimorph Piezoceramic Patches on Damped Square Shaped Plate

Active damping using piezoelectric element is one of the effective techniques to counter vibration problems. A 3D finite-element model is developed as part of investigation for damping control. The piezoelectric patches are surface bonded on quadrilateral thin plate and supported with spring damper elements. The main goal of this paper is to investigate mechanical characteristics of piezoceramic array on membrane and the effect of force excitation using small motor and electric excitation on the system. The system setup produced small vibration displacement and does not displace the plate beyond elastic strain region. The results show the linear behavior of piezoceramic and the correlation between electric excitation, motor vibration and displacement at the centre of the plate at different frequency range. The mode shapes and natural frequencies at low frequency spectrum are also presented. Therefore, the results can be used as reference to develop damping system with aid of piezoelectric patches.
Application of Pressure-Based Coupled Solver to the Problem of Hypersonic Missiles with Aerospikes

Many design concepts of high-speed tactical guided missiles use aerospikes to reduce the drag and heating on the missiles body. The accurate numerical prediction of hypersonic flows over aerospike-protected missile shapes using Computational Fluid Dynamics (CFD) can be a valuable tool in the evaluation of such co ncepts. This study presents an effective and robust numerical approach to the problem of a hypersonic flow over a missile body shielded with aerospike/aerodisc. The problem considers three-dimensional flow around aerospikeprotected missile domes at a free stream Mach number ranging from 4.5 to 6.06 and angles of attack varying from 0 to 16 deg. Steady-state nu merical simulations are carried out using the general purpose CFD code FLUENT, version 6.3. Pressure-based coupled solver formulation is chosen to obtain an accurate fast-co nverging solution. SST ω k turbulence model is employed to simulate turbulence effects. T he near-wall mesh is fine enough to resolve the viscosity-affected near-wall region all the way to the laminar sublayer, and FLUENT’s enhanced wall treatment is applied. Numerical results expressed in terms of pressure coefficient are compared with experimental data, and favorable agreement is found. Effects of aerospike on missile dome surface aeroheating are also presented.
"Protecting the Frontline: An Assessment on the Occupational Factors Contributing to Covid-19 Nosocomial Infections at Levy Mwanawasa University Teaching Hospital, Zambia"

Everywhere in the world, health workers are at the frontline of the Covid-19 pandemic response and as such are exposed to different hazards (nosocomial infections) that make them at risk. The hospital working environment is complex and demanding and can pose significant risks to staff safety WHO [1]. Occupational Health and Safety (OHS) covers staff health, safety and welfare in the workplace. OHS is particularly important in public hospitals because major hazards exist-such as exposure to infections and chemical agents, manual handling of patients and materials, ships, trips, falls and occupational violence. These hazards can lead to Covid-19 noso-comial infections. Covid-19 was confirmed in Zambia on the 18th March,2020 with a total of 202,078 cases,193,370 (97%) recoveries and 3,521 deaths have been recorded as at 13th August, 2021 HMIS [2]. The severe acute respiratory syndrome coronavirus 2 (SARS-COVI-2) pandemic has been continuing to take a heavy toll on human life spreading to new communities even as its fire appears to have dwindled somewhat in the earlier epi-centers of the country. However, the disease situation in the country has continued to improve with a further 21% reduction in positivity recorded in the past weeks prior to the first week of August 2021. In addition, daily admissions and deaths have significantly reduced over the month of July,2021 from an average of 150 to 30 and from 55 to 10 respectively HMIS [2]. Abstract
The Effect of Abusive Factors on the Emergence of the Financial Abuse between Partners: An Exploratory Study for the opinions of a sample of married women within the geographical location at Duhok city specifically Avro City

It remains the dominant concept when talking about intimate partner violence that physical violence is predominant, predominately in academic researches and reports published by media. In this study we focus on another form of unseen abuse that is committed in close partner relationships. It is an economic abuse which is likewise indicates to as financial abuse in a wide range of the literature. In this study we concentrate on five factors that affect the financial abusive which are Engaging in Activities, Culture & Traditions, Financial Skills, Financial Knowledge, and Financial Illiteracy. The research sample include only married women within geographical location at Duhok city specifically Avro City, 120 electronic form of the research questionnaire was distributed on the respondents, and about 105 form were valid which represent a percent of 87.5% from the distributed questionnaire. The results revealed that there is a significant and positive correlation between the five abusive factors and financial abuses at the levels of research variables. According to the conclusions We suggested that there should be more interest in our society to increase women's awareness of how to manage their income and to have an opinion and a role in managing their own financial affairs and managing family finances.
FACTORS INFLUENCING SAFETY MANAGEMENT SYSTEMS IN PETROCHEMICAL PROCESSING PLANTS

The accident rate in the Malaysian construction industry is among the highest compared to other developing countries. The Malaysian government has recommended the self-regulation of safety management systems (SMS) for construction projects with the hope of improving the situation; however, the readiness of the local contractors to implement SMS is questionable. Based on the critical review of literature, this research intends to uncover the factors influencing SMS implementation and development among Malaysian contractors working in processing plants. Additionally, this paper highlights studies on the systemic issues of the contractors, during the development and implementation of SMS in construction industry during project execution in the processing plants. From the review of literature, this paper has uncovered interrelated obstacles encountered by contractors, namely cultural factors, working conditions and the organizational processes. The next step of the research aims to identify the most influencing factors on SMS development and implementation among Malaysian contractors as identified in this paper.
Commuting Stress: Psychophysiological Effects of a Trip and Spillover into the Workplace

This study took advantage of a major improvement to the infrastructure of a commuter rail line to conduct a field study examining the effects of that change on commuter stress. The study used a multimethod approach, employing self- and significant other—report data, behavioral measures, and physiological measures of stress. Cross-sectional and longitudinal data were collected with a pretest—posttest design including both within- and between-group comparisons. The results on psychophysiological, self-report, and job strain measures revealed that those commuters using improved transit service showed reduced stress in the postchange period and those staying with the previous service remained constant. Commuters who switched to the new train service also experienced a reduced level of job strain after the implementation of the line. A subgroup of rail passengers with elevated sensitivity to commuting conditions were also uncovered. On both a behavioral index of motivation and perceived job strain, women who h.
Perubahan Kecepatan Subduksi Lempeng Indo-Australia terhadap Lempeng Sundaland akibat Gempa Bumi Samudera Hindia tahun 2016

Gempa bumi Samudera Hindia terjadi pada tanggal 2 Maret 2016 dengan magnitudo7.8 di sekitar zona subduksi Lempeng Sundaland. Implikasi tektonik dari gempa bumi dengan magnitudo di atas 7 ini diteliti karena implikasi tektonik gempa bumi di Samudera Hindia tahun 2012 sangat besar hingga Pulau Jawa. Penelitian ini bertujuan mendapatkan pengaruh gempa bumi Samudera Hindia tahun 2016 terhadap perubahan kecepatan subduksi. Data yang digunakan adalah data Global Navigation Satellite System (GNSS) kontinu di tujuh stasiun yang berada di Lempeng Indo-Australia dan Lempeng Sundaland. Data diolah dengan perangkat lunak ilmiah untuk mendapat solusi koordinat harian. Pada deret waktu koordinat, dilakukan perhitungan kecepatan degan regresi linier untuk data sebelum gempa bumi dan data setelah gempa bumi. Nilai kecepatan yang diperoleh digunakan untuk perhitungan regangan. Hal yang didapatkan dan dibahas adalah perubahan nilai kecepatan dan regangan, serta membandingkan arah kecepatan stasiun GNSS dengan arah kecepatan dari lempeng terkait. Kecepatan stasiun GNSS yang diperoleh berkisar 18 hingga 70 mm/tahun. Kecepatan stasiun GNSS mengalami penurunan dan regangan mengalami pertambahan nilai pemendekan setelah gempa bumi. Nilai perubahan semakin besar untuk stasiun yang lebih dekat ke Palung Sunda. Stasiun GNSS yang berada di pulau di sebelah barat Pulau Sumatra diduga berada di Blok Sumatra, pecahan dari Lempeng Sundaland.
Machine Learning for Cardiovascular Outcomes From Wearable Data: Systematic Review From a Technology Readiness Level Point of View

Background Wearable technology has the potential to improve cardiovascular health monitoring by using machine learning. Such technology enables remote health monitoring and allows for the diagnosis and prevention of cardiovascular diseases. In addition to the detection of cardiovascular disease, it can exclude this diagnosis in symptomatic patients, thereby preventing unnecessary hospital visits. In addition, early warning systems can aid cardiologists in timely treatment and prevention. Objective This study aims to systematically assess the literature on detecting and predicting outcomes of patients with cardiovascular diseases by using machine learning with data obtained from wearables to gain insights into the current state, challenges, and limitations of this technology. Methods We searched PubMed, Scopus, and IEEE Xplore on September 26, 2020, with no restrictions on the publication date and by using keywords such as “wearables,” “machine learning,” and “cardiovascular disease. ” Methodologies were categorized and analyzed according to machine learning–based technology readiness levels (TRLs), which score studies on their potential to be deployed in an operational setting from 1 to 9 (most ready). Results After the removal of duplicates, application of exclusion criteria, and full-text screening, 55 eligible studies were included in the analysis, covering a variety of cardiovascular diseases. We assessed the quality of the included studies and found that none of the studies were integrated into a health care system (TRL<6), prospective phase 2 and phase 3 trials were absent (TRL<7 and 8), and group cross-validation was rarely used. These issues limited these studies’ ability to demonstrate the effectiveness of their methodologies. Furthermore, there seemed to be no agreement on the sample size needed to train these studies’ models, the size of the observation window used to make predictions, how long participants should be observed, and the type of machine learning model that is suitable for predicting cardiovascular outcomes. Conclusions Although current studies show the potential of wearables to monitor cardiovascular events, their deployment as a diagnostic or prognostic cardiovascular clinical tool is hampered by the lack of a realistic data set and proper systematic and prospective evaluation.