Miracle-dz/UniFAR-FTUs huggingface dataset:
The Role of Verbal Feedback in the Motor Learning of Gymnastic Skills: A Systematic Review

The main purpose of this study was to systematically review the effects of feedback on motor skill acquisition in gymnastic skills. A systematic literature search was conducted in the electronic databases MEDLINE (EBSCO), Scopus, SPORTDiscus (EBSCO), and Web of Science. Of the initial 743 search articles, 13 studies were included in the quantitative analysis. Studies were included if they met the following criteria: (a) healthy subjects, (b) studies with gymnastic, artistic gymnastic, or trampoline elements in the study protocol, (c) verbal feedback intervention, (d) the study compared verbal feedback intervention with other forms of feedback, instructional intervention, or with a control intervention, and (e) task performance evaluation. Methodological quality was identified using the PEDro scale. Combining verbal instructions with different forms of feedback is beneficial when learning complex gymnastic skills. Verbal feedback may be useful to improve the technical performance of a gymnastic element; in particular, information regarding the errors committed in a key element of the performance seems to be effective in the motor learning process.
A Statistical Study of Auroral Medium Frequency Bursts and Anomalous Incoherent Scatter Radar Echoes

Different types of incoherent scatter radar (ISR) echoes are observed associated with aurora, including some which have been interpreted as signatures of cavitating Langmuir turbulence (CLT). Akbari et al. (2013) https://doi.org/10.1002/jgra.50314 discussed two instances of correlation between CLT and naturally occurring radio emissions called medium frequency burst (MFB) which occur at substorm onsets. Based on that observation, radio detections of MFB from Toolik Lake Observatory have been applied to investigate occurrence of CLT in ISR data from Poker Flat Incoherent Scatter Radar and their possible correlation with MFB. Of 131 MFB events, 25 occurred within 15 min of an ISR echo detection, compared to 6 of 116 intervals of a control set with similar local time and seasonal distribution. The difference is significant at the 10−4 level, suggesting that ISR echoes are more probable during substorm onset times identified using MFB as a proxy. However, only four observed ISR echoes coincident with one MFB event showed both specific characteristics consistent with CLT. Furthermore, investigation of the angle of arrival of MFB suggests that the electromagnetic emissions do not originate from the plasma volume where the ISR detects the echoes. The small number of coincident ISR echoes and MFB is expected due to the different volumes in which the emissions and the echoes are detected. 50% of the MFB events occurred within 20 min of a substorm onset independently identified versus 8% of the control set intervals, confirming the correlation of MFB with substorm onsets.
Improvement in Output Characteristics Using a Resonator and Passive Rectifiers in Vibration Generators

Energy harvesting has attracted increased attention recently. Energy sources are present all around us, such as, mechanical vibrations, stress, strain, waste heat, sunlight or room light, electromagnetic rays, and chemical or biological sources. Vibration generators based on piezoelectric elements have been highlighted as low-power sources; however, their output power is very low, around the milliwatt or microwatt level, and thus, improving their performance is necessary to make the generated power usable. This paper investigates the use of passive devices to improve output characteristics of the vibration generators. The proposed circuits are a resonator and a passive rectifier. The proposed resonator consists of a parallel inductor and capacitor for <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> resonance. The <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> resonance equivalently reduces the internal capacitor of the piezoelectric elements. As a result, the output voltage and power are increased compared with that of conventional circuits. In addition, a boost-type current-improving passive rectifier is applied as the passive rectifier. The validity of the proposed circuit is numerically and experimentally verified.
The Mereology of Depression—Networks of Depressive Symptoms during the Course of Psychotherapy

(1) Background: Research has shown that it is important to examine depressive symptoms in the light of the mereology (the ratio between one symptom and the whole disorder). The goal of this study was to examine changes in the symptom interrelations of patients undergoing cognitive behavioral therapy treatment (CBT) via network analyses. (2) Method: Outpatients with depressive symptoms (N = 401) were assessed with the Beck Depression Inventory three times (pretreatment, after 12 sessions, and post-treatment) during CBT. Gaussian graphical models were used to estimate the relationships among symptoms. (3) Results: The severity of depressive symptoms significantly decreased over the course of therapy, but connectivity in the networks significantly increased. Communities of symptoms changed during treatment. The most central and predictable symptom was worthlessness at baseline and after 12 sessions, and loss of energy and self-dislike at post-treatment. (4) Conclusion: The results indicate that the severity of depressive symptoms decreased during cognitive behavior therapy, while network connectivity increased. Furthermore, the associations among symptoms and their centrality changed during the course of therapy. Future studies may investigate individual differences and their impact on the planning of psychotherapeutic treatment.
A Simulation Study Using a Quality Cardiopulmonary Resuscitation Medical Manikin to Evaluate the Effects of Using Personal Protective Equipment on Performance of Emergency Resuscitation by Medical Students from the University of Silesia, Katowice, Poland and Non-Medical Personnel

Background During the Coronavirus disease 2019 (COVID-19) pandemic, personal protective equipment (PPE) is used during medical resuscitation aerosol-generating procedures (AGP). This simulation study aimed to evaluate the effects of PPE on the performance of emergency resuscitation by medical students from the University of Silesia, Katowice, Poland and non-medical personnel, and used a quality cardiopulmonary resuscitation (Q-CPR) medical manikin. Material/Methods A simulation study was conducted using the Resusci Anne quality cardiopulmonary resuscitation (Q-CPR) medical manikin (Laerdal Medical AS, Norway). Participants were divided into 2 groups: a medical group of 50 and a non-medical group of 52, matched in pairs. Each pair performed 10 min of manual CPR with a compression-ventilation ratio of 30: 2 wearing PPE for AGP. The reference method was manual CPR wearing casual clothes along with surgical masks and latex gloves. Data about compression and ventilation were gathered using the QCPR Training application from Laerdal Medical. Results Data analyses indicated statistically significant differences between medical students using PPE for AGP and basic protection: average rate of chest compressions (123 vs 114 per min; P=0.004), chest recoil (69 vs 93; P=0.0050, correct depth of chest compressions (86.5 vs 97; P=0.0081), quality of ventilation (85 vs 89; P=0.0041). Among non-medical personnel however, a statistically significant difference was in the quality of ventilation (69–85.5; P=0.0032). Conclusions The findings from this study showed that the use of PPE for AGP during CPR was associated with slower average speed of chest compressions, less chest recoil, incorrect depth of chest compressions, and lower quality of ventilation.
Strategy Of Financial Efficiency Of Coal Companies In Indonesia In The Era Of Disruption

This study aims to determine the level of financial efficiency of coal companies listed on the Indonesia Stock Exchange and the strategies that must be done to achieve a good level of financial efficiency. The sampling technique uses purposive sampling method and produces 11 (eleven) companies as research samples. Data analysis techniques used are Data Envelopment Analysis (DEA) to measure the level of financial efficiency of coal companies for 2015-2016, and SWOT analysis to determine the strategies that must be carried out by the company. Based on the results of data analysis, it was found that 10 (ten) coal companies were efficient in 2015, then 9 (nine) efficient companies in 2016. The strategy that must be applied by coal companies to obtain good financial efficiency based on SWOT analysis matrix must use aggressive strategies (quadrant 1). The strategy that must be done is to maintain good efficiency and calculate the exact costs associated with US$ currency. In addition, the company must also increase EPS to increase investor confidence. Another strategy is to increase production volumes for coal exports to importing countries and increase exports so that revenue and total assets increase with the strengthening of US$ and hedging to anticipate price fluctuations and the exchange rate of Rupiah to US$ by making a payment agreement contract.
Treatment of biofilm communities: An update on new tools from the nanosized world

Traditionally regarded as single cell organisms, bacteria naturally and preferentially build multicellular communities that enable them to react efficiently to external stimuli in a coordinated fashion and with extremely effective outcomes. These communities are bacterial biofilms, where single cells or microcolonies are embedded in self-built Extracellular Polymeric Substance (EPS), composed of different macromolecules, e.g., polysaccharides, proteins, lipids, and extracellular DNA (eDNA). Despite being the most common form in nature and having many biotechnologically useful applications, biofilm is often regarded as a life-threatening form of bacterial infection. Since this form of bacterial life is intrinsically more resistant to antibiotic treatment and antimicrobial resistance is reaching alarming levels, we will focus our attention on how nanotechnology made new tools available to the medical community for the prevention and treatment of these infections. After a brief excursus on biofilm formation and its main characteristics, different types of nanomaterials developed to prevent or counteract these multicellular forms of bacterial infection will be described. A comparison of different classifications adopted for nanodrugs and a final discussion of challenges and future perspectives are also presented.
Simulation of Modified Flyback Snubber Circuit for Isolated Bidirectional DC-DC Converter

Abstract Abstract: In this paper, a modified flyback snubber circuit for isolated bidirectional DC-DC converter has been introduced. The soft switching isolated snubber circuit provides an alternative path for the current difference created due to source inductance and leakage inductance. The auxiliary snubber circuit operates during the step-up conversion, and it only persists of the two semiconductor switch, two inductors one diode and two capacitors. Both semiconductor devices (G1, G2) of flyback snubber circuit achieve soft switching during turn ON and turn OFF condition. The PWM technique has been used to control the semiconductor devices. The different mode of operation has been discussed in detail. The effective performance of proposed converter system has been validated with the PSIM simulation tool. The proposed converter is compared with the active clamp converter based on efficiency. The loss comparison proves that flyback snubber circuit has high efficiency compared to active clamp converter.
Highly Sensitive C Reactive Protein as a Predictor of in Hospital Outcome in Patients with Acute Coronary Syndrome

Background: C-reactive (CRP) protein is a well-studied inflammatory factor whose prognostic value in cardiovascular diseases in recent years has become increasingly important. Assesses of prognostic value of highly sensitive C-reactive protein (hs-CRP) in patients with acute coronary syndrome (ACS) wasthe aim of this work. Methods: This observational research was conducted on 50 individuals had ACS admitted to CCU and indicated for invasive coronary angiography. Cases were classified in 2 groups depending on the level of hs-CRP: group A included (14) cases with hs-CRP > (2) and group B involved (36) cases with hs-CRP ≥ (2). All patients were subjected to: laboratory investigations (creatinine, urea, aspartate aminotransferase (AST), alanine amino transferase (ALT), troponin, creatine kinase myocardial band (CKMB), hs-CRP, HbA1C, lipid profile, twelve lead surface ECG, echocardiography and coronary angiography. Results: Total cholesterol, LDL, HDL and triglyceride were significantly higher in group B compared to group A(P=0.001). Stent implantation was significantly higher in group 2 compared to group 1 (P=0.040) Conclusions: There were correlation between hs CRP and lipid profile as a risk factor and there was no correlation between in hospital outcome and hs CRP in ACS patients due to small sized study.
ESTIMAÇÃO DA ALTURA TOTAL DE ÁRVORES DE IPÊ FELPUDO UTILIZANDO MODELOS DE REGRESSÃO E REDES NEURAIS

 RESUMO: O objetivo deste trabalho foi avaliar a exatidão das estimativas de altura total com a utilização de modelos de regressão e redes neurais artificiais (RNAs) em um plantio puro de ipê felpudo. Foram ajustados quatro modelos de regressão e treinadas redes do tipo Multilayer Perceptron, com dois critérios de treinamento: considerando como variáveis de entrada o DAP, idade e altura dominante e, utilizando apenas o DAP. As RNAs e os modelos de regressão foram avaliados pelas estatísticas Viés (V), Média das diferenças absoluta (MD), Raiz do quadrado médio do erro (RQME) e Coeficiente de correlação (r), além da análise gráfica dos resíduos. A estimação da altura total das árvores com utilização de modelos genéricos de regressão e a RNA com covariáveis apresentou maior exatidão quando comparada aos modelos de regressão e da RNA em função somente do DAP.
Does looking forward set you back? Development and validation of the work prospection scale

ABSTRACT Findings from adjacent literatures suggest that thinking about the future may have implications for employee health, especially when such thoughts are affectively toned. However, existing constructs targeting work-related thinking are predominantly time-unspecific, possibly overlooking a substantial portion of work-related cognitions that occur on a daily basis. We therefore develop a comprehensive, multidimensional conceptualization of work prospection, as well as an instrument (Work Prospection Scale; WPS) that allows the measurement of three types of work prospection (cognitive, positive affective, and negative affective). We place work prospection in its wider nomological network and evaluate its validity across three cross-sectional studies (total N = 825) and a 5-day diary study (N = 199). Psychometric properties of the scale were supported across studies, and the WPS was related to, yet empirically distinct from related constructs. Criterion-related results showed that positive affective work prospection during the evening was associated with less fatigue and more recovery in the next morning. Conversely, negative affective work prospection was related to more evening fatigue, as well as less next morning recovery. Cognitive work prospection had no significant relationship with recovery indicators. Additionally, our findings show that targeting future-oriented cognitions adds to the prediction of employee recovery beyond time-unspecific measures.
LOOKING BACK AT A YEAR OF COVID-19 INFECTION IN KINTA DISTRICT, MALAYSIA: THE PUBLIC HEALTH EXPERIENCE TO SUPPRESS THE PANDEMIC

COVID-19 has overwhelmed the healthcare system and crippled the economic and social activities globally. This study aims to analyse the epidemiological and presenting symptoms of COVID-19 and understand the public health intervention. A retrospective review of COVID-19 confirmed cases registered in Kinta District, Malaysia between 14th March 2020 to 28th March 2021. Descriptive statistics were used to describe the cases, and the association between the 2nd and 3rd waves of infection was determined using Pearson's chi-squared tests or student t-tests. 3051 COVID- 19 confirmed cases were reported during the 2nd wave and 3rd wave. The characteristics associated with the 2nd and 3rd waves were age, ethnicity, nationality, and transmission location. Asymptomatic cases account for 67.3% and 66.0% during the 2nd and 3rd waves, respectively. Presenting symptoms such as fever with respiratory symptoms, respiratory symptoms only, ageusia or anosmia were associated with the transmissions. Diabetes mellitus, hypertension, chronic kidney disease and multimorbidity were significantly associated with the 2nd and 3rd waves. As most confirmed cases were asymptomatic, a coordinated and systematic approach to tracing, testing, and isolating close contacts is critical to managing the pandemic. It highlights the importance of the public health experience in providing a comprehensive and integrated response to managing the COVID-19 pandemic.
O3/UV-type POAs integrated with catalytic material based on scrap iron and mineral clay to degrade 2,4 and 2,6-dinitrotoluene in Red Water

Nitroaromatic compounds have significant economic and industrial relevance in various inputs such as dyes, inks, agrochemicals, and explosives. In the manufacture of the explosive 2,4,6 trinitrotoluene (TNT), there is the formation of contaminated wastewater that is difficult to treat because it contains, among other compounds, high concentrations of 2,4 and 2,6-trinitrotoluene (DNT). In this work, the application of advanced oxidation processes of the O3/UV type was studied in sequential integration with catalytic material based on metallic iron slag (SZVI) and mineral matrix to treat an industrial effluent from the explosives industry contaminated with compounds nitroaromatics. Two types of mineral matrix composition were studied, kaolinite (Kau) and pumice powder (Pum), having been observed in the conditions of best efficiency (O3/UV-SZVI/Kau) 100% removal of both nitroaromatic compounds and residual ozone. On the other hand, photo-ozonation alone could only partially remove these components, with 38% DNT removal and 3.2 mg/L residual O3 observed, proving the importance of integration with the catalytic matrix for more effective treatment of the studied effluent. Keywords: DNT degradation, explosives industry effluent, Scrap zero-valent iron.
Hypothetical Model of How a Clinical Remount Procedure Benefits Patients with Existing Dentures: A Narrative Literature Review

The clinical remount procedure, which involves remounting the dentures on an articulator with interocclusal records, can effectively reduce occlusal discrepancies. This procedure can be applied not only to new dentures but also to those already in service; however, research in this field is still scarce. This narrative review aims to establish a hypothetical mechanism and possible indications and contraindications for this technique as a basis for further research. Current studies have revealed a high prevalence of malocclusion in delivered dentures. Performing a clinical remount on these existing dentures would enhance the oral function of the denture wearer and would enable effective and accurate correction of the accumulated errors in the jaw relationship in a stable working environment. This technique should be performed if a patient has poor masticatory function or occlusion-related complaints. However, performing a clinical remount on dentures with an excessive anterior–posterior discrepancy between the centric relation and the maximal intercuspal position or on dentures with extremely low occlusal vertical dimension, is considered less effective. The clinical remount procedure remains an essential skill both for fabricating quality dentures and maintaining those already in service.
Quantifying Feature Overlaps in Deep Neural Networks and Their Applications in Unsupervised Learning and Generative Adversarial Networks

Deep neural network learn a wide range of features from the input data. These features take many different forms from, structural to textural, and can be very scale invariant. The complexity of these features also differs from layer to layer. Much like the human brain, this behavior in deep neural networks can also be used to cluster and separate classes. Applicability in deep neural networks is the quantitative measurement of the networks ability to differentiate between clusters in feature space. Applicability can measure the differentiation between clusters of sets of classes, single classes, or even within the same class. In this work we present our metric and methodology for applicability, and compute the applicability for different sets, classes, inputs and octaves within a class. We also compute how applicability of features learned through adversarial training and show, to the first of our knowledge, how the features learned in a generator and discriminator overlap. Additionally, we use applicability to create a unsupervised tree like neural network that uses applicability to facilitate branching and maximized reuse of learned features. Lastly, we use Progressive training of Generative Adversarial Networks (GANs) to show how specializing and transferring features can lead to more accurate segmentation results.
Isolation and characterization of probiotic lactic acid bacteria from human breast milk

The lactic acid bacteria (LAB) isolated from human breast milk is known as probiotics and comprises numerous health benefits. This study aims to select and determine the species name of LAB based on the 16S rRNA gene, which has the potential to be the best indigenous probiotic. The method used included analysis of LAB resistance at acidic pH 2.0 and bile salts (0.5 %), antimicrobial activity against pathogenic microorganisms, and determining the autoaggregation properties. LAB isolates with the best ability in the analysis were then identified using a partial sequence of the 16S rRNA gene. The isolation and purification revealed eight LAB isolates with different parameters named as L19A, L19B, L19C, L19D, L19E, L19F, L19G, and L19H. Isolates L19A, L19E, and L19H have good tolerance ability against acid pH and bile salts, compared to others. Meanwhile, the L19H isolate had the strongest antimicrobial activity against pathogenic microorganisms E. coli ATCC 25922, S. aureus ATCC 25923, and C. albicans ATCC 11778, while the L19A had the highest hydrophobicity, autoaggregation, and coaggregation ability. Based on the partial sequence analysis of the 16S rRNA gene, the L19A, L19E, and L19H have similar values with L. casei, L. rhamnosus, and L. paracasei, respectively. These isolates belong to the L. casei group (LCG) from human breast milk, which can be used as an indigenic probiotic.
Revisiting pay-performance sensitivity around IFRS adoption in Europe: the dominant role of Germany

In this study, we investigate the effect of IFRS adoption on pay-performance sensitivity (PPS) in the European Economic Area (EEA) and show that the documented positive effect is driven by one country: Germany. In pooled country tests, we explore the effect of individual institutional attributes and find that differences between IFRS and local GAAP, as well as proxies for different types of enforcement, moderate the IFRS effect. However, these findings are contingent on including Germany in the sample. This raises the possibility that the studied institutional attributes proxy for Germany, and that it is the unique combination of institutional attributes in Germany that explains the increase in PPS at the time of IFRS adoption. Our findings suggest that researchers should be careful when generalising results from multi-country studies or attributing the IFRS effects to individual institutional variables.