Miracle-dz/UniFAR-FTUs huggingface dataset:
The importance of physical activity in COVID-19 times

The COVID-19 pandemic altered activities of societies, forced closures at the national level in several countries, populations had to isolate themselves at home. Different studies have been initiated that allow us to understand the changes in behaviors related to physical activity and sedentary lifestyle in populations. The objective of this work was the analysis of the importance of physical activity in COVID-19 times. A systematic review was carried out and a questionnaire was applied to the population that performs physical activity in parks of Puebla City, Mexico. The results of the present systematic review suggest that engaging in even light physical activity during the pandemic can help eliminate some of the negative impacts on the health of populations. Since those who experience a decrease in physical activity also have higher levels of stress and anxiety. The data obtained from the questionnaire applied to the study population showed a participation of 54% men and 46% women, ages 14-70 years for men and 18-69 years for women. Regarding the time they perform physical activity, men reported 2-3 days (40.74%), 4-5 days (29.62%) and >5 days (29.62%), women 2-3 days (17.39%), 4-5 days (52.17%) and >5 days (30.43%). Regarding the time that men spend sitting 8 hours (14.81%), women 8 hours (21.73%). The variables of practiced time of physical activity, days a week, minutes a day and hours sitting between men and women showed no significant difference (P>0.05). It is recommended that populations get involved in physical activities in order to maintain a better quality of life and thus mitigate the phenomena associated with confinement due to the pandemic.
Deep Capsule Network Handwritten Digit Recognition

Abstract Aiming at the weakness of CNN that is not sensitive to the changes of relative position and angle, a method of digital handwritten recognition based on deep capsule network is researched. The capsule network represents multiple attributes of an entity through a group of capsules composed of neurons, which effectively preserves the information about the position and posture of the entity. Dynamic routing algorithm makes the information interaction between capsules more clearly, and can determine the pose of the entity more accurately. While solving the shortcomings of convolutional neural networks, it also integrates the advantages of CNN and considers the relative position of it’s lack, so that the recognition effect is improved. The design implements a deep capsule network, reduces the amount of trainable parameters by changing the size of the convolution kernel, expands on the original network structure, adds a convolution after the convolution layer, and a process of dynamic routing on the main dynamic routing is added, and the number of iterations is changed for experimentation, which makes the accuracy of network recognition higher on the MNIST data set.
The Effects of Pre-Race Apnoeas on 400-m Freestyle Swimming Performance

This study aimed to establish whether a series of three apnoeas prior to a 400-m freestyle time-trial affected swimming performance when compared to, and combined with a warm-up. Nine (6 males, 3 females) regional to national standard swimmers completed four 400-m freestyle time-trials in 4 randomized conditions: without warmup or apnoeas (CON), warm-up only (WU), apnoeas only (AP) and warm-up and apnoeas (WUAP). Time-trial performance was significantly improved after WUAP (275.79 ±12.88 s) compared to CON (278.66 ±13.31 s, P = 0.035) and AP (278.64 ±4.10 s, P =0.015). However, there were no significant differences between the WU (276.01 ±13.52 s, P >0.05), and other interventions. Spleen volume compared to baseline was significantly reduced following the apnoeas by a maximum of ~45% in the WUAP and by ~20% in WU. This study showed that the combination of a warmup with apnoeas could significantly improve 400-m freestyle swim performance compared to a control and apnoea intervention. Further investigation into whether longterm apnoea training can enhance this response is justified.
Interactions of picosecond laser pulses with organic molecules I. Two-photon fluorescence quenching and singlet states excitation in Rhodamine dyes

Intensity dependent quenching and reversal of the two-photon fluorescence patterns in Rhodamine 6G and DPA, of picosecond pulses from a mode-locked ruby laser have been investigated by measurements of the two-photon fluorescence efficiencies of these dyes. While for Rhodamine 6G there was a marked departure from the square law dependence at high laser intensities, the experimental curve for DPA showed no evidence of quenching. When excited by a mode-locked neodymium: glass laser Rhodamine 6G fluorescence was not quenched at fluxes as high as 5 x 1030 photons cm-2 s-1 but in Rhodamine B quenching appeared at a laser flux of 3 x 1027 photons cm-2 s-1. These quenching results and measurements of the absorption of pulses by Rhodamine 6G, previously excited by second harmonic pulses, are explained by the effects of single photon absorption and stimulated emission from the S1 and S2 excited singlet states. A square pulse approximation has been employed to solve the general rate equations and the fitting of the calculated curves to the experimental results gave values for the stimulated emission and absorption cross-sections of the S1 and S2 states of Rhodamine 6G and for the relaxation time (~ 2 ps) between the vibrational manifolds of these excited states. Taking into account random phase and amplitude fluctuations of the picosecond pulses, time and space averaged two-photon fluorescence profiles, using these values of the dye parameters, showed quenching and reversal of the patterns for the laser pulse intensities at which these effects were experimentally observed. The possibilities of frequency tunable pulses, of transform-limited durations, from mode-locked dye lasers employed with an electro-optical streak camera of time-resolution equal to that of the pulse durations (~ 2 ps) for time-resolved excited state molecular spectroscopy are briefly considered.
Performance Optimization of Neural Style Transfer for Animated Characters in Real-Time Rendering

Layer Layer Size Stride Output Size Encoder Input 3×1920×1080 Conv + InsNorm + ReLU 8×9×9 1 8×1920×1080 Conv + InsNorm + ReLU 16×3×3 2 16×960×540 Conv + InsNorm + ReLU 32×3×3 2 32×480×270 (Res + InsNorm + ReLU)×2 32×3×3 1 32×480×270 Decoder Up-sample 1/2 32×960×540 Conv + InsNorm + ReLU 16×3×3 1 16×960×540 Up-sample 1/2 16×1920×1080 Conv + InsNorm + ReLU 8×3×3 1 8×1920×1080 Conv + Tanh 3×9×9 1 3×1920×1080
Sensitivity of bank profitability to changing in certain internal and external variables: the case of Bosnia and Herzegovina

Banking profit plays a very crucial role in terms of providing a base for internal growth as well as a signal for additional borrowing. Profit is also a source for dividend payments to shareholders and expectations for future dividend payments. This research includes all banks in Bosnia and Herzegovina and testing endogenous and exogenous variables on bank profitability indicators. In addition to credit risk, the profitability of banks in B&H is also influenced by the financial result of operations, which is determined by price and interest rate risk. The primary goal of this paper is to attempt to identifying and recognizing the factors affecting the profitability of banks operating in Bosnia and Herzegovina. Therefore, this research focuses on the determinants of banking sector profitability that can be divided into two groups, namely: internal and external factors. The research period covered the years from 2007q1-2019q4 on a quarterly database. The total number of observations was 52. The paper included the OLS regression model (FE model) and the random-effects GLS model. Both models were appropriate for the obtained results through the Hausman test. The results showed that the significant influence on the dependent variables were the return on asset (ROA) and return on equity (ROE), which has been achieved by the following independent variables, such as the growth rate of net profit/loss, cost to income ratio and the growth rate of gross domestic product.
Super-Resolution Appearance Transfer for 4D Human Performance Capture

Figure 1: Super-resolution and colour transfer pipeline: The input is a lowresolution (LR) video and high-resolution (HR) static images of a person; LR-HR couples are identified with similar views for colour transfer to match the HR colour distribution; super-resolution is then applied to the LR texture map to obtain a HR texture for the 4D model.
Comparison and Optimization of Image Descriptors for Real-Time Detection of Abandoned Objects

- This paper presents a detailed study of four image descriptors (SURF, SIFT, BRISK and FREAK) in the context of real-time detection of abandoned objects using a moving camera. In this scenario, captured frames are compared to a reference video, and noticeable differences among the two videos are associated to an abandoned object. The image descriptors allow a simple and robust image representation, retaining most relevant features for proper registration and alignment, enabling a comparison between two video frames corresponding to the same scene. Performances of these fours schemes are assessed in terms of processing time and detection efﬁciency considering the OpenCV implementations of the methods. A modiﬁcation is also considered for the image descriptors, which restricts the correspondences between the two images to the same representation scale. Experiments on three pairs of videos show the improvements achieved by the proposed system conﬁguration.
Automatic differentiation in quantum chemistry with an application to fully variational Hartree-Fock

Automatic Differentiation (AD) is a powerful tool that allows calculating derivatives of implemented algorithms with respect to all of their parameters up to machine precision, without the need to explicitly add any additional functions. Thus, AD has great potential in quantum chemistry, where gradients are omnipresent but also difficult to obtain, and researchers typically spend a considerable amount of time finding suitable analytical forms when implementing derivatives. Here, we demonstrate that automatic differentiation can be used to compute gradients with respect to any parameter throughout a complete quantum chemistry method. We implement DiffiQult, a fully autodifferentiable Hartree-Fock (HF) algorithm, which serves as a proof-of-concept that illustrates the capabilities of AD for quantum chemistry. We leverage the obtained gradients to optimize the parameters of one-particle basis sets in the context of the floating Gaussian framework.
EVALUATION OF CROP COEFFICIENTS FROM WATER CONSUMPTION IN PADDY FIELDS

Crop coefficient was evaluated from water consumption of various treated paddy fields on the objective to find its changes with time as the plant grew. Three principal techniques of paddy fields known as the commonly practiced, Integrated Crop Management (ICM) and System of Rice Intensification (SRI) were investigated. Its of them has 2 major different irrigating and planting patterns, which has different performance on plant growth as well as productivity. In this study, the combinations of irrigating and planting patterns across these 3 systems also investigated, and in total there were 36 treatments. Measurements were conducted in daily basis on water level, soil water, draining water, ponding water, irrigation water, and weather parameters such as temperature, wind velocity and sunshine duration to calculate potential evapotranspiration by means of FAO Penman Monteith model. Water balance analysis was carried out to calculate equivalent depth of soil water, which was then compared with measured soil water based on water level data and soil water retention curve. Optimization process was then conducted to find daily crop coefficients with the objective to minimize a cumulative different between calculated and measured soil water depths. The results show that each treatment produced different temporal crop coefficients but more or less had similar patterns in the early, middle and late stages of the plant growth. In consequence, temporal crop coefficient is important to take into account for irrigation planning on different systems of paddy field especially to earn optimum water efficiency.
Deliverable No . D 1 . 2 Evaluation methods of surveillance systems and current practices WP 1-Development of a conceptual evaluation framework

Evaluating and understanding the costs and the benefits of animal disease mitigation strategies is necessary to provide rational information to achieve the most efficient surveillance and intervention. Because of the entwined roles of surveillance and intervention to achieve mitigation, conducting an economic evaluation of mitigation measures should target not only interventions but also surveillance strategies. The paper presents a systematic review of the economic evaluations of animal health surveillance systems. A total of 27 case studies were included. The research questions that have been addressed in these evaluations are discussed. The economic analyses used to answer these questions were cost analyses (6/27), cost-effectiveness analyses (8/27), cost-benefit analyses (6/27), costminimisation analyses (5/27) and other (2/27). The relatively small number of papers published on the area highlight that economic evaluation of surveillance is rare in animal health. The review discusses the potential relevance of economic approaches that are still underused for evaluating surveillance. Finally, most economic evaluations were found to focus on surveillance systems targeting a single disease, even though an economic evaluation of surveillance would ideally cover different diseases and across multiple geographical regions.
Science teachers ’ transformations when implementing inquiry-based teaching-learning sequences

In this research study we aimed at investigating the mostly transformed/accepted aspects of scientific inquiry while enacted in classroom practice. Seven in-service biology, chemistry, and physics teachers, with more than 20 years of experience, were initially involved in a 30-hours training course aimed at familiarizing them with inquiry principles. The activities were organized in nine 3-hours workshops using seven teaching learning-sequences (TLSs) as training contexts. After the course, the teachers chose one TLS and were observed during the in-school delivery. Collected data have been video recordings and field notes of the classrooms activities. An adapted version of the Reformed Teaching Observation Protocol (RTOP) was used to analyze the data. Quality of inquiry implementations, as measured by the RTOP scores, led us to identify the aspects that were mostly accepted and/or transformed by the teachers. Results show that the most accepted aspects of inquiry were: students act as members of a learning community; there is focus on data collection and on students’ argumentations according to a research question. Moreover, the teachers were keen to act as resource persons and valued classroom discussions. The most observed transforming trends were: introduction of the concepts related to the TLS before doing laboratory activities; scarce attention to students’ generation of the research questions; forcing class discussions to get the “right” answer from the students; scarce importance given to group work.
Long-Term Simulation of the Effect of Low Impact Development for Highly Urbanized Areas on the Hydrologic Cycle in China

For areas that are urbanized rapidly, the practice of Low Impact Development (LID) has gained an important place in stormwater management and urban planning due to its capability and beneficial effects in restoring the original hydrological cycle. The performances of LID alternatives can vary substantially due to different climate conditions. This study investigated the performances of three LID alternatives under a semi-arid climate in northern China on water balance. A numerical model, the storm water management model (SWMM), was employed to run 10 years’ rainfall events for these objectives. The efficiency index for water balance (Iw) is also introduced in this study and three LID alternatives are evaluated by using the above methodology. According to the research results, LID facilities have remarkable effects on water balance.
Modelling temperature, moisture and surface heat balance in bare soil under seasonal frost conditions in China

Soil heat and moisture processes are interconnected, especially during low temperatures. To examine the interaction between soil temperature and moisture under freeze‐thaw cycles, a physical process‐based model (CoupModel) coupled with uncertainty analysis was applied to 3‐year measurements under seasonal frost conditions from a site in the black soil belt of northeast China. The uncertainty in parameters and measurements was described by general likelihood uncertainty estimation (GLUE). To identify the degree of linkage between soil temperature and moisture, three criteria were applied to them separately or together. The most sensitive parameters among 26 site‐specific parameters were closely related to soil heat, soil evaporation and freeze‐thaw processes. Soil temperature was simulated with less uncertainty than soil moisture. Soil temperature measurements had the potential to improve model performance for soil water content, whereas soil moisture measurements demonstrated a trade‐off effect when finding a model with good performance for both temperature and moisture. During winter conditions the uncertainty ranges of soil temperature were most pronounced, probably because of the greater complexity of soil properties during the freeze‐thaw process and the uncertainty caused by snow properties. The largest uncertainty ranges of both soil water content and soil water storage were found mainly in the deep soil layers. The simulated surface heat fluxes are an important output of the model and it is of great value to compare them with the results from regional climate models and micrometeorological measurements.
Self‐Assembly of Coordination Compounds: Design Principles

The terminology and basic concepts of coordination chemistry are presented, in view of their potential application in the design of supramolecular systems based on transition metals. We describe the main features of the metal ions, mostly in relation to atomic size and oxidation state, and those of the ligands, such as denticity, topology, and flexibility. Polyhedra as stereochemical descriptors and the relationships of nested polyhedra are analyzed. The dependence of stereochemical preferences of the most common six- and four-coordinate metal centers on the electron configuration is systematically studied, and a brief description of the common stereochemistries for other coordination numbers is presented. Finally, basic criteria for understanding the choice of coordination number by a particular combination of metal and ligands are discussed, and ways to describe the stereochemistries of coordination centers with ill-defined coordination numbers are proposed. Keywords: transition metals; coordination compounds; stereochemistry; ligands; chirality
Performance Assessment of Pipelined Conjugate Gradient method in Alya

Currently, one of the trending topics in High Performance Computing is related to exascale computing. Although the hardware is not yet available, the software community is working on developing and updating codes, which can efficiently use exascale architectures when they become available. Alya is one of the codes that are being developed towards exascale computing. It is part of the simulation packages of the Unified European Applications Benchmark Suite (UEABS) and Accelerators Benchmark Suite of PRACE and thus complies with the highest standards in HPC. Even though Alya has proven its scalability for up to hundreds of thousands of CPU-cores, there are some expensive routines that could affect its performance on exascale architectures. One of these routines is the conjugate gradient (CG) algorithm. CG is relevant because it is called at each time step in order to solve a linear system of equations. The bottleneck in CG is the large number of collective communications calls. In particular, the preconditioned CG (PCG) already implemented in Alya utilises two collective communications. In the present work, we developed and implemented a pipelined version of the PCG (PPCG) algorithm which allows us to half the number of collectives. Then, we took advantage of non-blocking MPI communications to reduce the waiting time during message exchange even further. The resulting implementation was analysed in detail by using Extrae/Paraver profiling tools. The PPCG implementation was tested by studying the flow around a 3D sphere. Several tests were performed using a different number of processes/workloads to attest the strong and weak scaling of the implemented algorithms. This work has been developed in the context of the preparatory access program of PRACE, simulations were run on the MareNostrum 4 (MN4) supercomputer at Barcelona Supercomputing Center (BSC).
Review of the Chemical Properties, Pharmacological Properties, and Development Studies of Cymbopogon sp.

Cymbopogon is a genus of aromatic plants that famed because of the essential oil production that has many benefit in industrial, daily life, or even for disease treatment. The Cymbopogon genus consists of about 180 plants, including different species, subspecies, varieties, and subvarieties. The aim of this review is to present chemical properties, pharmacological, and development of the Cymbopogon genus from books and research studies. There were many types of research that have been done to prove the benefits of the Cymbopogon genus, including studies about the extract, essential oil, the chemical compound biological activity, and development studies. Some pharmacological studies that have been confirmed are regarding the pharmacological effects of Cymbopogon in the central nervous system, anti-inflammatory, antimicrobial, antioxidant, and anticancer activity. In addition, there have been studied to improve Cymbopogon benefits.
Adapting and Examining the Factor Structure of the Self-Compassion Scale in Indonesian Version

The study aimed to adapt and analyze the factor structure of the scale of self-compassion in the Indonesian language. The initial steps included back-to-back translation, focus group discussion and expert judgements. From this procedure, thirteen additional items were added to the original self-compassion scale. The thirty-nine final items were tested to 483 samples from three different groups (undergraduate students, young and adult, mid and late adult). Findings support self-compassion as total score and six sub scale score based on ESEM bi factor analysis. However based on the overall results, for Indonesia uses, the authors suggested the structure data of self-compassion scale is a hierarchical two-factors model with the final items of this scale are 35 items, where the two factors are positive aspect and negative aspect. The positive dimension had 0.901 of Cronbach’s Alpha reliability and the negative dimension had 0.913 of Cronbach’s Alpha reliability. The positive one consists of self-kindness, common humanity, and mindfulness. Meanwhile, the negative one consists of self-judgement, isolation, and over-identification.