Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying predictive EEG features for cognitive overload detection in assembly workers in Industry 4.0

Industry 4.0 will be characterized by far-reaching production automation because of recent advancements in robotics and artificial intelligence. As a consequence, a lot of simple, repetitive assembly tasks will no longer be performed by factory workers, but by machines. However, at the same time, consumers demand more and more personalized products, increasing the need for human assembly workers who can adapt quickly to new and more complex assembly procedures. This need for adaptation is most likely to increase the cognitive workload and potentially overload assembly workers that are used to traditional assembly work tasks. Several studies have tried to identify this cognitive overload in the EEG signal, but many failed because of poor experimental measurement procedures, bad data quality and low sample sizes. In this paper, we therefore designed a highly controlled lab experiment to collect EEG data of a large number of participants (N=46) performing an assembly task under various levels of cognitive load (low, high, overload). This systematic approach allowed us to study which EEG features are particularly useful and valid for cognitive overload assessment in the context of assembly work.
Modeling Interacting Time-Series Signals

Many real-life systems consist of multiple information signals which might be potentially interacting with each other over time. These interactions can be estimated/modeled using techniques like Pearson Correlation (PC), Time lagged Cross Correlation (TLCC) and windowed TLCC, Dynamic Time Warping (DTW), and coupled Hidden Markov Model (cHMM). These techniques, excluding cHMM, cannot capture non-linear interactions and does not work well with multi-variate data. Although cHMM can capture the interactions effectively, it is bound by Markov property and other assumptions like latent variables, prior distributions, etc. These influence the performance of the model significantly. Recurrent Neural Network (RNN) is a variant of Neural Networks which can be used to model time-series data. RNN based architectures are the new state-of-the-art for complex tasks like machine translation. In this research, we explore techniques to extend RNNs to model interacting time-series signals. We propose architectures with cou-
Can We Actually Improve Resident Wellness? Pilot Data from a Longitudinal Wellness Curriculum for Emergency Medicine Residents

Background: The wellness of resident physicians, particularly in emergency medicine (EM) with its high rate of burnout, has become of paramount importance to residency programs. This pilot study aims to evaluate the effects of the implementation of an evidence-based wellness curriculum on self-reported resident wellness across three Detroit EM residency programs. It is the first objective study of a wellness program for EM residents to date. Methods: This is a prospective, interventional pilot study of the impact of a well-defined, longitudinal wellness curriculum administered to all categorical residents in three EM residency programs in Detroit, Michigan. Anonymous surveys incorporating the Perceived Stress Scale (PSS) and the Connor-Davidson Resilience Scale (CD-RISC) were administered before and after implementation of the wellness curriculum. The curriculum consisted of three modules (Introduction to Wellness, Dealing with Medical Errors, and Shame and Debriefing Traumatic Events in the Emergency Department) over 3 months. Participation was anonymous and voluntary, and all data collection and analysis were provided by a third-party not affiliated with residency program
CEO Characteristics and Firm Performance; Empirical Studies from ASEAN Countries

The purpose of this study is to examine the association between Chief Executive Officer (CEO) characteristics on firm performance. Tobin's Q measures firm performance; while CEO's characteristics are measured by tenure, age, professional certification in finance or accounting, advanced education in finance or accounting, status (insiders or outsiders) and gender. The hypotheses are tested using regression analysis using 235 firm-year observation from six ASEAN countries (Singapore, Malaysia, Indonesia, Thailand, Philippines, and Vietnam) in the year 2015. The results show that CEO age and tenure have a positive association with firm performance. This study is critical because it delivers evidence on the link between the characteristics of the CEO and firm performance. CEO characteristic will give a positive impact on companies' firm performance. Overall, investors need to pay attention to the essence of a CEO that is proved can affect better firm performance when making an investment decision. Keywords—CEO, Characteristic, Firm Performance, ASEAN
Comparing the Effect of Nigella sativa oil Soft Gel and Placebo on Oligomenorrhea, Amenorrhea and Laboratory Characteristics in Patients with Polycystic Ovarian Syndrome, a Randomized Clinical Trial

Background and objectives: Oligo-amenorrhea is one of the most common symptoms in poly cystic ovarian syndrome (PCOS) patients and Nigella sativa is a medicinal plant used in Iranian traditional medicine for the treatment of oligo-amenorrhea. The aim of this study was to evaluate the effect of N. sativa oil on oligo-amenorrhea in patients with PCOS. Methods: This study was a double-blinded placebo-controlled clinical trial conducted on 84 PCOS patients with oligo-amenorrhea. Patients were randomly assigned to intervention and placebo group. They used two soft gel capsules of N. sativa oil (500 mg, each capsule) or placebo at night for sixteen weeks. Four indices were used to assess menstruation; the interval between menstruations, duration of menstruation, the occurrence of menstruation and the severity of bleeding. The two groups were compared using analysis of covariance. Result: Fifty five patients completed the study (32 patients in N. sativa group and 23 patients in placebo group). The menstrual interval after the study in the intervention group (45 days, 95% CI) was significantly lower than the control group (86 days). The frequency of menstrual cycle in the intervention group (0.79) was significantly higher than the placebo group (0.48). No serious complication was reported in this clinical trial. Conclusion: findings suggest that N. sativa is an alternative treatment and could be useful for menstrual irregularities in women with PCOS. Further studies are recommended to find the exact mechanisms of N. sativa and its different derivatives.
Ψυχομετρική αξιολόγηση της ελληνικής έκδοσης του TOSCA-3 για

Η ντροπή και η ενοχή θεωρούνται ως δύο διαφορετικά συναισθήματα, που είναι και «ηθικά» και «συνειδητά» και παρά το γεγονός ότι παίζουν ιδιαίτερα σημαντικό ρόλο στην ψυχοκοινωνική ζωή, η δημιουργία και η εξέλιξη αξιόπιστων μεθόδων για την αξιολόγησή τους είναι σχετικά πρόσφατη. Η παρούσα μελέτη είχε ως στόχο να προσαρμόσει και να σταθμίσει το TOSCA-3 στην ελληνική πραγματικότητα. Το TOSCA-3 είναι ένα εργαλείο που μετράει τα επίπεδα της ντροπής και της ενοχής και εκτιμά τη ντροπή ως έναν σταθερό παράγοντα της διάθεσης του ατόμου και όχι ως παροδική αντίδραση σε συγκεκριμένες καταστάσεις. Από τα αποτελέσματά μας διαπιστώθηκε ότι πρόκειται για ένα εργαλείο με επαρκή εγκυρότητα εννοιολογικής κατασκευής, καθώς και ικανοποιητική αξιοπιστία εσωτερικής συνέπειας.
Parametric study of an active solar flat-plate collector water heater

Monthly average daily weather data and solar radiations of Bauchi obtained from the weather data processor (Type 109 component) of TRNSYS 16 software were used as the input into the design equations coded using MATLAB programming language to determine the system characteristics and components sizes. Parametric study was carried out to study the effects and sensitivity of varying some design parameters such as collector area and number of glazing, length of collector tube and tube diameter, mass flow rate and volume of the water, air gap spacing between the absorber plate and glazing and the tube spacing and plate thickness on the system solar fraction (f). The results revealed that with collector area of 0.1m 2 to 5m 2 single glazing 82 % solar fraction was achieved and with double glazing, 97 % system solar fraction was achieved. Increasing the length of the tube increases the system solar fraction. This implies that as the number of turns of the flow tube increases the system solar fraction increases but the solar fraction decreases with increase in the diameter of the tank, with tank diameter of 0.1 m to 0.4m an average of 75 % system solar fraction was achieved. As the air gap increases, the top heat loss increases and decreases as the number of glazing increases, an air gap of 0.045 m (4.5 cm) to 0.05 m (5 cm) was found to be suitable for optimum system performance. Increasing the tube spacing, the system solar fraction decreases but as the plate thickness increases, the system solar fraction increases slightly. This implies that, decreasing the tube spacing leads to increase in system solar fraction. The plate thickness increase is considered very insignificant considering the system cost in relation to system performance. Keywords: Solar fraction, solar radiation, weather data, parametric study, solar collector, MATLAB programming language
Indoor Air Microbial Profile of General Hospital in Kudus, Central Java, Indonesia

Microbes in the air found in the form of bioaerosol. Air contaminated with microbes become medium for transmission of disease. This study aimed to identify the profile of airborne microbes in Kudus General Hospital. The study conducted in Kudus Regency, Central Java, Indonesia in 2019. The research used cross sectional design. The number of samples was 30 rooms. The analysis carried out quantitatively and qualitatively to showed the number and types of microbes found. The results showed an average airborne microbes count of 309.6 CFU / M3. The most common bacteria found were Staphylococcus epidermidis and Bacillus subtilis. The most commonly found fungus was mold (33.3%). The finding of microbes in the air showed that hospital air was polluted and had the potential to the disease transmition. Therefore, the hospital needs to make effective control efforts. Keywords— air microbal counts, general hospital, microbes, fungus.
Tube Feeding in Individuals with Advanced Dementia: A Review of Its Burdens and Perceived Benefits

Background Dementia remains a growing concern for societies globally, particularly as people now live longer. About 90% of individuals with advanced dementia suffer from eating problems that lead to general health decline and ultimately impacts upon the physical, psychological, and economic wellbeing of the individuals, caregivers, and the wider society. Objective To evaluate the burdens and perceived benefits of tube feeding in individuals with advanced dementia. Design Narrative review. Methods Computerized databases, including PubMed, Embase, Medline, CINAHL, PsycInfo, and Google Scholar were searched from 2000 to 2019 to identify research papers, originally written in or translated into English language, which investigated oral versus tube feeding outcome in individuals with advanced dementia. Results Over 400 articles were retrieved. After quality assessment and careful review of the identified articles, only those that met the inclusion criteria were included for review. Conclusion Tube feeding neither stops dementia disease progression nor prevents imminent death. Each decision for feeding tube placement in individuals with advanced dementia should be made on a case-by-case basis and involve a multidisciplinary team comprising experienced physicians, nurses, family surrogates, and the relevant allied health professionals. Careful considerations of the benefit-harm ratio should be discussed and checked with surrogate families if they would be consistent with the wishes of the demented person. Further research is required to establish whether tube feeding of individuals with advanced dementia provides more burdens than benefits or vice-versa and evaluate the impacts on quality of life and survival.
Rapid reduction of black carbon emissions from China: evidence from 2009–2019 observations on Fukue Island, Japan

Abstract. A long-term, robust observational record of atmospheric black carbon (BC) concentrations at Fukue Island for 2009–2019 was produced by unifying data from a continuous soot-monitoring system and a multi-angle absorption photometer. This record was then used to analyze emission trends from China. We identified a rapid reduction in BC concentrations of (−5.8 ± 1.5) % y−1 or −48 % from 2010 to 2018. We concluded that an emission change of (−5.3 ± 0.7) % y−1, related to changes in China of as much as −4.6 % y−1, was the main underlying driver. This evaluation was made after correcting for the interannual meteorological variability, by using regional atmospheric chemistry model simulations (WRF/CMAQ) with constant emissions. This resolves current fundamental disagreements about the sign of the BC emission trend from China over the past decade, assessed from bottom-up emission inventories; our analysis supported inventories reflecting the governmental clean air actions after 2010 (e.g., MEIC1.3, ECLIPSE v5a and v6b, and REAS updated) and recommended revision to those not (e.g., CEDS). Our estimated emission trends were fairly uniform over seasons but diverse among air-mass origins. Stronger BC reductions occurred in regions of South-Central East China, accompanied by CO emission reduction, while weaker BC reductions occurred in North-Central East China and Northeast China. Prior to 2017, the BC and CO emission trends were both unexpectedly positive in Northeast China during winter months, possibly influencing climate at higher latitudes. The pace of emission reduction over China surpasses those of SSP1 scenarios (SSP: shared socioeconomic pathways) for 2015–2030, suggesting highly successful emission control policies. At Fukue Island, the BC fraction of PM2.5 also steadily decreased over the last decade, suggesting that BC emission reduction started without significant delay with respect to other pollutants, such as NOx and SO2, which are among key precursors of scattering PM2.5.
Performance Study of Wireless Systems with Switch and Stay Combining Diversity over α-η-μ Fading Channels

In this paper, we consider a Switch and Stay Combiner (SSC) diversity scheme operating over α−η−μ fading channel. New and closed-form expressions for the average output SNR (ASNR), the moment-generating function (MGF), the outage probability (P_out), and the average symbol error rate (ASER) for M-ary quadrature amplitude modulation (QAM) signaling are derived. The expressions are obtained in terms of the well-known bivariate Fox’s H-function (BFHF). It is worth pointing out that the BFHF and the bivariate Meijer’s G-function (BMGF) have recently been used extensively in wireless communications literature to study the system's performance. The evaluated results are plotted for channel parameters of interest, and the effect of fading severity on the combiner performance is studied. Moreover, the results are shown to match those previously reported in the literature for other channel models such as η−μ as a special case, which confirms the validity of the obtained expressions. Also, insights on the optimal choice of the switching threshold are provided.
An alternative caprine infection model for Mycoplasma mycoides

Ruminant infection models for Mycoplasma mycoides are invasive and laborious factors that may interfere with the experiment outcomes. This brief review presents an alternative method that may minimize on the mentioned challenges earlier mentioned. M. mycoides subsp. capri GM12 and M. mycoides subsp. capri YCP1.1 ∆68 strains were used; the former, causing a septicemia in goats. An intra-tracheal inoculation technique was employed after aseptic preparation as an alternative to the common intubation method. The former is cheaper, less laborious to handlers, with minimal stress to goats and more time-efficient. In conclusion, this may be used as an alternative to the intubation method. The described technique here will be useful in contagious bovine pleuropneumonia and contagious caprine pleuropneumonia research with modifications, diseases for cattle and small ruminants, respectively. Key words: Mycoplasma mycoides, animal infection model, ruminants.
Maternal serum copper concentration in premature rupture of membrane: A case-control study

Copper is an integrated parts of metal-protein required far varieties of oxide-reductive metabolic pathways in human. Copper deficiency is considered as risk factors in some pregnancies. Premature rupture of membrane is a pregnancy complication with major adverse effects and is believed maternal Copper deficiency can also be considered as interventional factors. This study was done to evaluate if there is a correlation between maternal serum Copper concentration and premature rupture of membrane in pregnancy. In this case-control study 60 pregnant women with Premature Rupture of Membrane (PROM) were selected as case group including term and pre term the control group consist of 60 pregnant women with normal delivery of term and pre term states. Both group were matched for maternal and pregnancy age. In case and control group the pregnancy at term and pre-term were grouped independently as well. In general the maternal mean serum Copper concentration were 192. 4Â±78.2 and 201. 08Â±82.06 in case and control groups, respectively but this differences statistically was not significant. Data in this study revealed that the absolute value of maternal serum Copper concentration of term or pre term in case groups was slightly lower than related controls. Drop in maternal Copper concentration in some disturbed pregnancies such as premature rupture of membrane is previously demonstrated and based on our data the absolute Copper serum concentration of women with premature rupture of membrane was also slightly lower compared to healthy pregnancy but it was not statistically significant. Â© Asian Network for Scientific Information.
Subpixel SAR Image Registration Through Parabolic Interpolation of the 2-D Cross Correlation

In this article, the problem of synthetic aperture radar (SAR) images coregistration is considered. In particular, a novel algorithm aimed at achieving a fine subpixel coregistration accuracy is developed. The procedure is based on the parabolic interpolation of the 2-D cross correlation computed between the two SAR images to be aligned. More precisely, from the 2-D cross correlation, a neighborhood of its peak value is extracted and the interpolation of both the 2-D paraboloid and the two alternative 1-D parabolas is computed to provide the finer misregistration estimation with subpixel accuracy. The main advantage of the proposed framework is that the overall computational burden is only due to the 2-D cross correlation estimation since the parabolic interpolation is calculated with a closed-form expression. The results obtained on real recorded unmanned aerial vehicle (UAV) SAR data highlight the effectiveness of the proposed approach as well as its capabilities to provide some benefits with respect to other available strategies.
DMSO_A_207087 883..899

Martijn JL Verhulst Wijnand J Teeuw Victor EA Gerdes Bruno G Loos 1Department of Periodontology, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and VU University, Amsterdam, The Netherlands; 2Department of Vascular Medicine, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands; 3Department of Internal Medicine, Spaarne Gasthuis, Hoofddorp, The Netherlands Background: Guidelines for primary diabetes care recommend to pay attention to oral health in patients with diabetes mellitus type 2 (T2DM). However, research about dental care utilization and the extent of problems regarding oral health in these patients is limited. Purpose: To assess self-reported oral health, general health-related quality of life (QoL) and oral health-related QoL in patients with T2DM who regularly attend a family physician office. Methods: Family physician offices were recruited in the area of Amsterdam, the Netherlands, as part of a cluster-randomized controlled trial. At these offices, patients with T2DM were included by family physicians and/or nurse practitioners. Patient data on general characteristics, self-reported oral health (including periodontitis), general health-related QoL (SF-36) and oral health-related QoL (OHIP-NL14) were collected. Results: Twenty-four family physician offices participated, who enrolled 764 patients with T2DM (mean age: 65.9±10.7 years, 56% male, 16% smoker). Almost 11% of the patients were metabolically poorly controlled (HbA1c >63 mmol/mol), 39% were obese (body mass index≥30 kg/m), 37% had hypertension (systolic blood pressure ≥140 mmHg) and 44% had dyslipidemia (LDL-cholesterol >2.5 mmol/L). About a quarter (24%) reported not to visit a dentist regularly and 30% did not have dental insurance coverage. Furthermore, 16% of the patients were edentulous and having full dental prostheses, while 29% had a partial dental prosthesis. Pain in the mouth, dry mouth and bad breath were reported by 15%, 37% and 12% of the patients, respectively. Almost 70% suffered from periodontitis. Oral health-related QoL was impaired in 19% of the patients, and those subjects also had worse general health-related QoL. Conclusion: Almost a quarter of patients with T2DM at Dutch family physician offices does not visit the dentist regularly. The estimated prevalence of periodontitis is particularly high, but other oral health complaints and impaired oral health-related QoL are also relatively common.
The Effect of Transformational Leadership on Employee Individual Creativity

This study aims to analyze the effect of transformational leadership style on employee creativity. This study used primary data in the form of questionnaires distributed to manufacturing companies, supervisors, HRD, and administration at PT. Schneider, PT. Shimano, and PT. Infineon. This study used a sample of 150 respondents, each division based on the ratio of the total number of employees in each company. The results showed that intellectual stimulation has a positive and significant effect on individual creativity of employees, idealization of leadership has a positive and significant effect on individual employee creativity, individual consideration has a positive and significant influence on individual employee creativity, and inspirational motivation has a positive and significant influence on individual creativity. Hence, the future research, could add more manufacturing companies in Batam to serve as research samples. Keywords—leadership, transformational leader-ship style, employee creativity, intellectual stimulation