Miracle-dz/UniFAR-FTUs huggingface dataset:
Creatine Kinase and Blood Lactate on High Intensity Short Period Exercise

High intensity of physical exercise in long period causes muscle damage. Muscle damage in physical exercise can occur due to muscle stretching followed by sarcomere disruption. Muscle damage can be detected by measuring several indicators or markers. Muscle protein efflux during severe physical activities signed by the increase of LDH (lactate dehydrogenase) and CK (Creatine Kinase). Many studies explained the effect of high intensity physical exercise in long period on muscle damage, but only few studies investigated the effect of high intensity exercise in short period. The purpose of research is to analyze the high intensity short period exercise on blood lactate and creatine kinase serum between elite and non-elite athlete. The post test only group design study was conducted to reach the aims of research. Seventy-five participants involved in this research and they were elite athletes (n=37) and non-elite athletes (n=38). The elite athletes were 24.71 ± 4.753 years old, while the non-elite athletes were 20.19 ± 1.619 years old. All participants perform Running -based Anaerobic Sprint Test (RAST) as a high-intensity short period exercise. The velocity of athletes was calculated for each running track. The blood for lactate level and creatine kinase (CK) measurement was taken as soon as they finished the RAST. The blood lactate level was 6.96 mmol/L (non-elite) and 5.5 mmol/L (elite). The serum level of CK was 241 (non-elite) and 198.8 (elite). Both of elite and non-elite CK level were higher than normal value. There was no difference in blood lactate (p=0.063) and serum level of CK (p=0.241) between elite and non-elite athlete. The conclusion was the blood lactate and CK serum level after high intensity short period increased higher than the normal value. There was not difference between elite and non-elite athletes, suggesting that the elite and non-elite athletes put in the same effort in performing and running the test. The recommendation of this research is that the high intensity short period exercise should be alternatively implemented to avoid muscle damage to athlete.
Risk factors for morbidity in 1- to 9-day-old dairy calves following caustic paste disbudding

Graphical Abstract Summary: Calfhood morbidity is an important issue in the dairy industry, with substantial production and welfare impacts. The objective of this study was to evaluate potential risk factors for adverse health events in dairy calves following caustic paste disbudding. Our results indicated that calves with higher serum total protein concentrations were less likely to develop an illness in their first week of life compared with calves with lower values, and that increased haptoglobin concentrations were associated with diarrhea and sickness occurrence. Disbudding itself or various pain control treatments were not identified as risk factors for the development of illness.
A systematic review and meta-analysis of clinical research on treating angina pectoris of coronary heart disease with traditional Chinese medicine to promote blood circulation and remove blood stasis.

BACKGROUND Research has shown that traditional Chinese medicine (TCM) can achieve good results in the treatment of angina pectoris. In this study, we aimed to explore the therapeutic effect of TCM in the treatment of angina pectoris of coronary heart disease (CHD) through a literature search and meta-analysis. METHODS The PubMed, Embase, CBM (China Biology Medicine) Web of Science databases were searched for studies on the treatment of angina pectoris of CHD with TCM. Inclusion and exclusion criteria were applied, and high-quality articles published from 2010.1 to 2021.8 were selected. The RevMan 5.3. 5 software was used to evaluate the therapeutic effect indicators of TCM. RESULTS Nine studies involving 824 patients were included in the meta-analysis, and the overall risk of literature bias was low. The results of meta-analysis showed that compared with conventional Western medicine, TCM + conventional Western medicine had a better efficacy indicators of angina pectoris using the fixed-effects model [odd rate (OR) =3.20, 95% confidence interval (CI): (2.09, 4.90), Z=5.35, P<0.00001]. The frequency of angina pectoris was measured by random-effects model, and the statistical results were [standard mean difference (SMD) =-1.85, 95% CI: (-2.29, -1.41), Z=8.22, P<0.00001]. The adverse events was measured by fixed-effects model, and the statistical results were [OR =0.48, 95% CI: (0.21, 1.08), Z=1.78, P=0.08]. DISCUSSION The application of TCM in the treatment of angina pectoris of CHD can improve the therapeutic effect, reduce the frequency of angina pectoris, shorten the attack time, reduce serum total cholesterol, and improve the quality of life after treatment, but it has no obvious reducing effect on blood lipids.
Application of Dense Neural Networks for Detection of Atrial Fibrillation and Ranking of Augmented ECG Feature Set

Considering the significant burden to patients and healthcare systems globally related to atrial fibrillation (AF) complications, the early AF diagnosis is of crucial importance. In the view of prominent perspectives for fast and accurate point-of-care arrhythmia detection, our study optimizes an artificial neural network (NN) classifier and ranks the importance of enhanced 137 diagnostic ECG features computed from time and frequency ECG signal representations of short single-lead strips available in 2017 Physionet/CinC Challenge database. Based on hyperparameters’ grid search of densely connected NN layers, we derive the optimal topology with three layers and 128, 32, 4 neurons per layer (DenseNet-3@128-32-4), which presents maximal F1-scores for classification of Normal rhythms (0.883, 5076 strips), AF (0.825, 758 strips), Other rhythms (0.705, 2415 strips), Noise (0.618, 279 strips) and total F1 relevant to the CinC Challenge of 0.804, derived by five-fold cross-validation. DenseNet-3@128-32-4 performs equally well with 137 to 32 features and presents tolerable reduction by about 0.03 to 0.06 points for limited input sets, including 8 and 16 features, respectively. The feature reduction is linked to effective application of a comprehensive method for computation of the feature map importance based on the weights of the activated neurons through the total path from input to specific output in DenseNet. The detailed analysis of 20 top-ranked ECG features with greatest importance to the detection of each rhythm and overall of all rhythms reveals DenseNet decision-making process, noticeably corresponding to the cardiologists’ diagnostic point of view.
Determination of User Satisfaction in Mobile Banking Services Using the Information Systems Success Model (ISSM) Perspective

This study aims to determine the effect of Systems Quality, Information Quality, and Service Quality on User Satisfaction in Mobile Banking (M-Banking) users. The research method used was a quantitative approach by distributing questionnaires to 117 respondents of Mobile Banking users. Data analysis used was Partial Least Squares (PLS) where the results showed that System Quality and Information Quality affected the User Satisfaction of Mobile Banking. Increasing User Satisfaction through Information Quality and System Quality has become very important for banks. The effect of Service Quality did not directly affect User Satisfaction but was mediated by User Experience in using Mobile Banking for a long time, which can be a determining factor if the user has a positive image of the quality of Mobile Banking services.
Impact of Anthropomorphic Robot Design on Trust and Attention in Industrial Human-Robot Interaction

The application of anthropomorphic features to robots is generally considered beneficial for human-robot interaction (HRI). Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-Robot interaction as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust and visual attention allocation was examined. Participants interacted with a robot, which was either anthropomorphically or non-anthropomorphically designed. Unexpectedly, attribute-based trust measures revealed no beneficial effect of anthropomorphism but even a negative impact on the perceived reliability of the robot. Trust behavior was not significantly affected by an anthropomorphic robot design during faultless interactions, but showed a relatively steeper decrease after participants experienced a failure of the robot. With regard to attention allocation, the study clearly reveals a distracting effect of anthropomorphic robot design. The results emphasize that anthropomorphism might not be an appropriate feature in industrial HRI as it not only failed to reveal positive effects on trust, but distracted participants from relevant task areas which might be a significant drawback with regard to occupational safety in HRI.
Aadhar Arogya: Integrated Electronic Health Record as an Aid in Bridging the Gap between Individual Health and Public Health in India – A Review

Aadhar card is an Indian Government ID card that is issued to all Indian residents. It is one of the largest biometric databases in the world with over 1.28 billion enrollments thereby constituting the most ubiquitous ID card in India. With the additional features of QR code and biometric scanning, it forms an ideal database to be linked with the electronic health record. The health records of an individual currently in India is being maintained by the individuals. But most often they are misplaced, disorganized, incomplete or lost. This would force the clinician to assume or ascertain the current medical status by subjecting the individual to tests. Improving the quality of the medical and dental services rendered paves way for an integrated electronic health record. The common concerns arising from such a linkage is data management and data security. Big data management provides a systematic approach to maintaining such large data. The data security concerns can be addressed by employing a data controller in every hospital and a cell to inform the security breach, who can further take up legal penalties. Pseudonymisation, cryptography, audit trial, firewall, antivirus software, and cloud computing are some techniques that can be incorporated.
Mandatory CSR Disclosure and Pay Gap: Evidence from China

ABSTRACT This paper investigates whether mandatory corporate social responsibility (CSR) disclosures impact pay gaps between executives and rank-and-file employees in China. The study shows that CSR disclosure requirements attenuate the pay gap. This impact is more significant among companies with higher information asymmetry, with stronger employee bargaining power, and located in provinces with better legal environments. Finally, we show that a lower pay gap encourages economic growth by improving innovation and productivity.
Least-squares reverse time migration using convolutional neural networks

Least-squares reverse time migration (LSRTM) has the potential to reconstruct a high-resolution image of subsurface reflectivity. However, the current data-domain LSRTM approach, which iteratively updates the subsurface reflectivity by minimizing the data residuals, is a computationally expensive task. To alleviate this problem and improve imaging quality, we have developed an LSRTM approach using convolutional neural networks (CNNs), which is referred to as CNN-LSRTM. Specifically, the LSRTM problem can be implemented via a gradient-like iterative scheme, in which the updating component in each iteration is learned via a CNN model. To make the most of the observation data and migration velocity model at hand, we use the common-source reverse time migration (RTM) image, the stacked RTM image, and the migration velocity model rather than only the stacked RTM image as the input data of CNN. We have successfully trained the constructed CNN model on the training data sets with a total of 5000 randomly layered and fault models. Based on the well-trained CNN model, we have proved that our approach can efficiently recover the high-resolution reflection image for the layered, fault, and overthrust models. Through a marine field data experiment, we can determine the benefit of our constructed CNN model in terms of its computational efficiency. In addition, we analyze the influence of input data of the constructed CNN model on the reconstruction quality of the reflection image.
Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia

PurposeGathering knowledge regarding personality traits has long been the interest of academics and researchers in the fields of psychology and in computer science. Analyzing profile data from personal social media accounts reduces data collection time, as this method does not require users to fill any questionnaires. A pure natural language processing (NLP) approach can give decent results, and its reliability can be improved by combining it with machine learning (as shown by previous studies). Design/methodology/approachIn this, cleaning the dataset and extracting relevant potential features “as assessed by psychological experts” are essential, as Indonesians tend to mix formal words, non-formal words, slang and abbreviations when writing social media posts. For this article, raw data were derived from a predefined dominance, influence, stability and conscientious (DISC) quiz website, returning 316,967 tweets from 1,244 Twitter accounts “filtered to include only personal and Indonesian-language accounts”. Using a combination of NLP techniques and machine learning, the authors aim to develop a better approach and more robust model, especially for the Indonesian language.FindingsThe authors find that employing a SMOTETomek re-sampling technique and hyperparameter tuning boosts the model’s performance on formalized datasets by 57% (as measured through the F1-score). Originality/valueThe process of cleaning dataset and extracting relevant potential features assessed by psychological experts from it are essential because Indonesian people tend to mix formal words, non-formal words, slang words and abbreviations when writing tweets. Organic data derived from a predefined DISC quiz website resulting 1244 records of Twitter accounts and 316.967 tweets.
Hard and Soft Integration: Towards a Dynamic Model of Post‐Acquisition Integration

Successful post- acquisition integration hinges on combining hard and soft integration, but insights into how this can be done are scarce. We develop a dynamic model of postacquisition integration through an in- depth inductive study of a cross- border acquisition. Our model illustrates that the combination of hard and soft integration decisions sets in motion intergroup interaction processes that influence both the realization of synergies and collaborative intentions. Our study advances the M&A literature by elucidating how hard and soft integration dynamically interact in their effects on post- acquisition integration outcomes. In doing so, we respond to the call for more research on the temporal nature of integration processes. Finally, we reveal that a singular or monolithic approach to post- acquisition integration is unlikely given that different units are likely to have different integration needs depending on their degrees of interdependence and autonomy. with someone from KLM and someone from Air France, sometimes two from Air France. They looked at synergy . […] Then you see that such a project becomes a negotiation. You get negotiations at miniature level I think it was nice to realize the quick wins, quickly doing things without creating an uproar in the entire organization. But I think we can cooperate in many more things. There’s still a lot in it, in the future (KLM efforts helped in fostering interaction with France members: ‘ Every week we have a sales “powwow” where within one hour we quickly share the main objectives for the coming week. Then we also look back at the successes or failures of the last week just to force a little bit of communication ’. in
Detecção de Patologias Oculares em Imagens de Reﬂexo Vermelho Utilizando Descritores de Cor

O Teste de Brückner é um exame oftalmológico que visa detectar patologias oculares precocemente. Ele opera através da identiﬁcação de um reﬂexo vermelho na região ocular após a incidência de um feixe luminoso. Este trabalho apresenta um novo método para identiﬁcação automática de um possível problema ocular em imagens de reﬂexo vermelho oriundas do Teste de Brückner através de descritores de cor. Utilizando uma otimização na escolha dos métodos de pré processamento em conjunto com os descritores de cor dominante e os momentos de cor, o método proposto alcançou 92% de acurácia, 98% de especiﬁcidade e 76% de sensibilidade utilizando o classiﬁcador XGBoost.
POTENTIAL OF PGPR AND NUTRIENT SOLUTION APPLICATION IN INCREASING PSB POPULATION DENSITY, P UPTAKE AND YIELD OF TOMATO (Solanum lycopersicum L.) PLANT IN A HYDROPONIC SYSTEM

The hydroponic system is an alternative technology to plant cultivation as a solution to overcome the limitation of agricultural land. Tomato (Solanum lycopersicum L.) production with this system has its own market segment. To increase the production of tomatoes in a hydroponic system requires the precise composition and dosage of nutrients, and the use of nutrients effectiveness needs to be increased through the application of an effective “Plant Growth Promoting Rhizobacteria” (PGPR) consortium. This experiment aims to determine the potential effectiveness of the PGPR consortium and to find the properly dose of hydroponic nutrients to increase the viability of Phosphate Solubilizing Bacteria (PSB), plant P uptake, and tomato yield in a hydroponic system. The research design used was a factorial randomized block design (RBD) consisting of two factors, namely the dose of the PGPR consortium consisting of three levels (0 ml/polybag, 5 ml/polybag, and 10 ml/polybag and the second factor was the nutritional dose: three levels (0 ml, 250 ml, and 500 ml). The experimental results showed that there was no interaction between the application of the PGPR consortium and hydroponic nutrition on the population of phosphate solubilizing bacteria, P uptake of tomato plants and tomato yield. The application of the PGPR consortium did not show a significant effect in increasing the PSB population, P uptake and yield, but the PGPR consortium tended to have the potential to increase the PSB population density, P uptake and tomato fruit weight, although were not increasing significantly. While the application of nutrient significantly increased Phosphate uptake, population of phosphate solubilizing bacteria and tomato yield. The dose of 250 ml/pot produced the highest tomato yield which reached 839.33 g/plant.
Common reasons patients are being referred from primary to secondary care, their journey and its impact on patient flow in the Emergency Department

A longstanding issue common to all Emergency Departments (ED), worldwide, is that of crowding. In recent years, prior to the CoVid-19 pandemic this was a national problem with trolleys lined up in ED corridors and waiting rooms filled with acutely unwell patients who have only received basic triage and no other clinician assessment. Many solutions have been put forward such as the concept of “reverse queueing”, the use of urgent treatment centres [1-4] and the use of ambulatory areas, particularly for medical patients. A clearly recognized strategy in managing overcrowding in the emergency department is prehospital assessment and judicious use of secondary care by primary care colleagues. “Initial Assessment” and referral to the correct area of secondary care promotes good patient flow and directs the patient to an appropriate area of the hospital, avoiding the emergency department altogether. One of the busiest clinical specialty within most hospitals is General Medicine. This specialty generally receives twice (if not more) the referrals than any other specialties but often has the same level of staffing. We undertook an audit of a cohort of patient referred by their GPs to acute specialties over a 2-week period to see if there are lessons to be learnt in order ease pressure on the emergency department and acute medical take.
The Influence of Interdecadal Changes in Boreal Winter Teleconnections Around the 1980s on Planetary Waves and Stratospheric Sudden Warmings

This study investigated the influence of the interdecadal changes in the Pacific‐North America (PNA) and Western Pacific (WP) teleconnections on the planetary waves and stratospheric sudden warmings (SSWs), based on the National Center for Environmental Prediction reanalysis and Japanese 55‐year reanalysis. Before the 1980s, there were more negative PNA & negative WP combinations (−PNA&−WP), and after the 1980s, there were more +PNA&+WP. +PNA&−WP and −PNA&+WP had no significant interdecadal changes before and after the 1980s. The interdecadal changes in the teleconnection combinations may be related to the Pacific Decadal Oscillation (PDO). During +PNA&+WP (−PNA&−WP), the planetary waves with wavenumber 1 have the maximum (minimum) wave energy and propagating more (less) to the stratosphere, causing a greater (lesser) frequency of SSWs. Thus, the interdecadal changes in the teleconnection combinations are one of the important factors which could contribute to the possible increase in SSWs after the 1980s. Since there are no satellite observations on the stratosphere before 1979, there are still many uncertainties in the interdecadal changes in SSWs.
Nitrogen Mass Fraction and Isotope Determinations in Geological Reference Materials Using Sealed‐Tube Combustion Coupled with Continuous‐Flow Isotope‐Ratio Mass Spectrometry

A method using a high‐temperature sealed‐tube combustion technique coupled with a continuous‐flow isotope‐ratio mass spectrometer (CF‐IRMS) was developed in this study to accurately determine the nitrogen mass fractions and δ15N of silicate rocks with a low nitrogen mass fraction of < 200 μg g−1. Analysis of reference material (HBa3) demonstrated that the nitrogen mass fraction and δ15N results using the developed method were in agreement with data obtained using classical sealed‐tube combustion coupled to a dual‐inlet MS. Given the lack of commercially accessible reference materials usable for interlaboratory comparisons, two igneous reference materials (BCR‐2 and BHVO‐2) obtained from the United States Geological Survey (USGS) were analysed for nitrogen mass fractions and δ15N using the new method. Due to their homogenous characteristics, they can potentially be used as test materials for inter‐laboratory comparisons. The sealed‐tube combustion technique yielded higher N mass fractions than the elemental analyser, suggesting that previous nitrogen mass fractions measured using EA‐IRMS were underestimated. Thus, the nitrogen mass fractions and δ15N of BCR‐2 and BHVO‐2 may not have been correctly determined using EA‐IRMS.