Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Self-Rated Health and Physical Fitness in Polish Youth

Self-rated health (SRH) is a tool for assessing a population’s health across the lifetime, and seems to be a dynamic assessment of current health status and a strong predictor of cardiovascular disease and mortality, whereas insufficient levels of physical fitness in adolescence are a significant health problem and may contribute to the development of many disorders in adulthood. In this cross-sectional study, we attempted to assess the relationship between SRH and the physical fitness of adolescents. Two hundred and thirty-five adolescents (eighty-five boys and one hundred and fifty girls) aged 16–17 were recruited for this study. The study procedures included a short author questionnaire and physical fitness assessment (Zuchora’s Physical Fitness Index). Boys declared better health states and reported less frequent morbidity of seasonal diseases (p < 0.05). No differences were found in physical fitness, the incidence of postural disorders, lower limb malalignments, foot deformities, sleep duration, and perception of physical activity on physical condition and well-being in boys and girls (p > 0.05). The comparison of physical fitness levels in adolescents with different SRH, sleep duration, perceptions of physical activity on physical condition and well-being also showed significant differences (p < 0.05). Positive SRH and perception of physical activity on physical condition and well-being, proper sleep duration (7–8 h/night), and a lack of foot deformities are associated with a better physical fitness in adolescents. Physical fitness seems to be a good predictor of SRH only in Polish boys, but not girls and the entire population. The lack of significance in the entire population could be attributed to the substantial number of girls in the study group. Despite that, it is recommended to encourage adolescents to engage in regular exercises, sleep routines and healthy lifestyles. Further research should be based on a more representative group, with a comparable number of girls and boys in the study group and potential confounders, but also they should be focused on SRH predictors to improve SRH in Polish girls.
Prevention and Control of Swine Enteric Coronaviruses in China: A Review of Vaccine Development and Application

Swine enteric coronaviruses (SECs) cause significant economic losses to the pig industry in China. Although many commercialized vaccines against transmissible gastroenteritis virus (TGEV) and porcine epidemic diarrhea virus (PEDV) are available, viruses are still widespread. The recent emergence of porcine deltacoronavirus (PDCoV) and swine acute diarrhea syndrome coronavirus (SADS-CoV), for which no vaccines are available, increases the disease burden. In this review, we first introduced the genomic organization and epidemiology of SECs in China. Then, we discussed the current vaccine development and application in China, aiming to provide suggestions for better prevention and control of SECs in China and other countries.
Intrusion Classification Detection Model for SDN based on Optimized TSO and DT

For the attack and anomaly problems in Software-Defined Networking (SDN), an SDN network intrusion classification detection model based on optimized Tuna Swarm Optimization (TSO) algorithm and Decision Tree (DT) is proposed. First, feature selection based on multi-strategy Improved Tuna Swarm Optimization (ITSO) algorithm is adopted to optimize the dataset and reduce feature redundancy and dimensionality. Second, multi- classification algorithm of DT is optimized to improve its performance and accuracy. Finally, a model based on optimized TSO and DT is constructed for intrusion classification detection in SDN networks. The classification accuracy rate is 0.9582 on the InSDN dataset with 10% data volume, and the score on three datasets with 5,000 data points is above 0.95. Experimental results show that the proposed SDN intrusion classification detection model has good detection performance.
Emotional Regulation Play Therapy for Maltreated Children: A Single Case Study

Aggressive children's behavior can arise from the child's inability to regulate the emotions that are felt as a result of the violence they have experienced as one form of maltreatment. This study aims to see how Emotional Regulation Play Therapy affects the behavior of maltreated children. This study was a quasi-experiment with a single case pre-test and post-test design. The participant of this study was a 10 years old boy with physical abuse and neglect history. Emotional Regulation Play Therapy consists of 5 therapy sessions based on emotional regulation development steps by Knell (2009). Measurement of emotional regulation ability was carried out using the Emotional Regulation Questionnaire for Child and Adolescence (ERQ-CA) developed by Gullone and Taffe (2011). The measurement results show an increase in the ERQ-CA score by 19 points accompanied by an increase in the ability to regulate emotion which is described qualitatively.
Competitividad territorial capitalista y despojo del agua en el área de influencia metropolitana de Cali (Colombia)

The proposal for the concept of territorial platform of capitalist competitiveness starts with a criticism of the reduced and biased form of understanding the concept of territory in the practice of dispossession of water, specifically, and of nature, in general. To understand the process of the plundering and abuse of natural wealth by the State and capitalists on local societies, the article proposes the concept of the territorial platform of capitalist competitiveness, understood as a territorialities system that articulates the periphery areas to the global capital. In this approach, the dispossession of water takes place in the context of the contradictions of the capitalist economic model established in Colombia. In the field of environmental water management, the main evidence of the presence of the capitalist territorial platform of competitiveness is the loss of environmental and departmental institutions, which promotes the expansion of the sugarcane territory.
Survey of Naturally Occurring Microorganisms in Differences Soil from Sudan

Nine soil types from sites with various levels and history of contamination by insecticides were chosen as inoculums sources for the present studies. The presences of four groups of soil microorganisms (organic nitrogen bacteria, inorganic nitrogen bacteria and actinomycetes, bacteria and actionmycetes which lives in poor media and Fungi) in these soils were surveyed using selective media. The results indicated that organic nitrogen bacteria is more prevalent and found in all types of soils followed by inorganic nitrogen bacteria and actinomycetes, fungi and bacteria and actinomycetes which lives in poor media. however the bacteria Mycobacterium and the actionmycetes Bactoderm were associated with highly polluted soils.
Protection of Whistle-Blower of White-Collar Crime: A Technological Perspective

The role of whistle-blowers in combating white-collar crime is acknowledged by the United Nations. It is crucial to safeguard these individuals in order to foster transparency, accountability, protect public interest, and promote ethical conduct within organizations and society. However, there is a dearth of research on utilizing IoT and AI technologies both for raising concerns and ensuring the protection of whistle-blowers. This study aims to address this gap by proposing an AI-based reporting system that enables whistle-blowers to report red flags while maintaining confidentiality, ultimately informing relevant authorities. The research argues that the combination of AI and IoT has immense potential in revolutionizing how whistle-blowers operate by facilitating secure information sharing.
Mechanistic modelling of the vertical soil organic matter profile

Soil organic matter (SOM) constitutes a large global pool of carbon that may play a considerable role for future climate. The vertical distribution of SOM in the profile may be important due to depth-dependence of physical, chemical, and biological conditions, and links to physical processes such as heat and moisture transport. The aim of this thesis is to develop a dynamic and mechanistic representation of the vertical SOM profile that can be applied for large scale simulations as a part of global ecosystem and earth system models. A model structure called SOMPROF was developed that dynamically simulates the SOM profile based on above and below ground litter input, decomposition, bioturbation, and liquid phase transport. Furthermore, three organic surface horizons are explicitly represented. Since the organic matter transport processes have been poorly quantified in the past and are difficult to observe directly, the model was calibrated with a Bayesian approach for two contrasting temperate forest sites in Europe. Different types of data were included in the parameter estimation, including: organic carbon stocks and concentrations, respiration rates, and excess lead-210 activity. The calibrations yielded good fits to the observations, and showed that the two sites differ considerably with respect to the relevance of the different processes. These differences agree well with expectations based on local conditions. However, the results also demonstrate the difficulties arising from convolution of the processes. Several parameters are poorly constrained and for one of the sites, several distinct regions in parameter space exist that yield acceptable fit. In a subsequent study it was found that radiocarbon observations can offer much additional constraint on several parameters, most importantly on the turnover rate of the slowest SOM fraction. Additionally, for one site, a prognostic simulation until 2100 was performed using the resulting a posterioriparameter distribution, This showed that different parts of the SOM profile can respond differently to increasing temperatures and litter input. In conclusion, the SOMPROF model, combined with the Bayesian calibration scheme, offers valuable insights into the relevance of the different mechanisms to the SOM profile. However, equifinality remains a challenge, particularly for distinguishing different SOM transport processes. Improved representation of liquid phase transport and incorporation of additional observations may reduce these problems. In the future, SOMPROF can be incorporated into a terrestrial ecosystem model and calibration results can be used when deriving parameter sets for large scale application.
Bangla Speech-based Emotion Detection using a Hybrid CNN-Transformer Approach

Robots are now widely employed in various scenarios to interact with humans. It is vital that the robots understand the speaker's emotion and respond accordingly. Humans possess innate abilities to recognize emotions from speech, but it is challenging to provide machines with the same capabilities to predict emotions from human speech. Recently machine learning and deep learning techniques are employed for emotion recognition tasks. Due to emotions such as angry, surprise etc. being predominant for only few time frames of an example audio of that class, it becomes difficult to detect them and models often have a hard time for these classes. We employ a hybrid CNN-Transformer approach where we attempt to solve this problem by having both locally receptive convolutional features and globally receptive attention features contributing to final classification. We evaluate our approach along with other standard approaches in BanglaSER dataset. We report weighted class accuracy of 92.3% using our proposed approach achieving significant performance gain over current literature.
The role of zinc supplementation for diarrhoea in children: a critical review

Background: Nearly 1.7 million children suffer from diarrhoea and around 760,000 die each year. The high prevalence of diarrhoea in the developing countries is closely related to lack of safe drinking water, inadequate sanitation and hygiene, and poor health and nutritional status. These environmental conditions facilitate the spread of infectious disease easily. The great morbidity and mortality of this preventable and treatable disease raise concern on how to save children from this fatal disease by improving management of diarrhoea. Several studies suggest that zinc deficiency contribute towards high morbidity and mortality in diarrhoea. Further, there is an area of uncertainty regarding how significant zinc supplementation will help to reduce the duration and severity of diarrhoea in children compared to the diarrhoea management without zinc? Objective: To critically analyse the current evidences of zinc supplementation in diarrhoea. Data Sources: Keywords searching through MEDLINE Ovid database and additional references from retrieved articles. Study Selection: Limited to randomized controlled trial(RCT) study design and systematic review studies which were conducted from 2006 to 2016. However, there is one prospective cohort study included as it is a follow-up of subjects who participated in the previous double-blind randomized placebo-controlled trial. Data Synthesis: This review involves a summary of 10 articles that have been appraised on their relevance in evaluating the role of zinc in reducing severity and duration of diarrhoea in children. Further, the literature found is synthesised through method used in the studies and the effectiveness of zinc therapy Conclusion: Zinc is relatively safe to be used and it can improve diarrhoea management especially in developing countries. Bangladesh Journal of Medical Science Vol.18(2) 2019 p.190-195
Historical reconstructions of California wildfires vary by data source

Historical data are essential for understanding how fire activity responds to different drivers. It is important that the source of data is commensurate with the spatial and temporal scale of the question addressed, but fire history databases are derived from different sources with different restrictions. In California, a frequently used fire history dataset is the State of California Fire and Resource Assessment Program (FRAP) fire history database, which circumscribes fire perimeters at a relatively fine scale. It includes large fires on both state and federal lands but only covers fires that were mapped or had other spatially explicit data. A different database is the state and federal governments’ annual reports of all fires. They are more complete than the FRAP database but are only spatially explicit to the level of county (California Department of Forestry and Fire Protection – Cal Fire) or forest (United States Forest Service – USFS). We found substantial differences between the FRAP database and the annual summaries, with the largest and most consistent discrepancy being in fire frequency. The FRAP database missed the majority of fires and is thus a poor indicator of fire frequency or indicators of ignition sources. The FRAP database is also deficient in area burned, especially before 1950. Even in contemporary records, the huge number of smaller fires not included in the FRAP database account for substantial cumulative differences in area burned. Wildfires in California account for nearly half of the western United States fire suppression budget. Therefore, the conclusions about data discrepancies and the implications for fire research are of broad importance.
Residual Network (ResNet-18) for Laparoscopic Image Distortion Classification

— Diminished laparoscopic video quality directly affects a surgeon's visibility and can compromise the outcomes of computational tasks in robot-assisted surgery. To address this challenge, numerous solutions have been proposed based on the detection and classification of laparoscopic video distortions. In this work, we propose a method based on Residual networks (ResNet18) for the automatic detection and classification of noise ‘NO’, smoke ‘SM’, uneven illumination ‘UI’, defocus blur ‘DB’, and motion blur ‘MB’ in laparoscopic videos. We have obtained an accuracy of 98.75% for training and 97.97% for validation. The high accuracy scores across the classes emphasize the model's capability to generalize well and make accurate predictions.
Visitor perceptions and reliance on active and passive communication techniques in zoos

The goal of educating the public about environmental and conservation issues is found in the mission statements of almost every zoo in the world. In order to effectively teach their visitors, zoos must understand how they are communicating with their public. In this study, we attempt to quantify how Sylvan Heights Bird Park (SHBP) communicates with its visitors. SHBP is a small not-for-profit facility that specializes in birds, with a primary focus on waterfowl (Anseriformes). Located in an economically depressed eastern North Carolina county (Halifax), SHBP receives over 46,000 visitors a year. Using a survey, we collected information of visitor perceptions of the role of zoos, their reliance on different sources of information, and their retention of information provided via different modes of communication. SHBP visitors listed exhibit signage (passive communication) as the preferred method of gaining information. Interestingly, however, we found that reliance on signage varied with age and gender and we found no difference in information retention between visitors that experienced only passive communication (signage) versus those that experienced active communication. Just over half (51%) of visitors viewed the primary purpose of a zoo to be entertainment but this view changed with age and gender. Although almost all respondents identified the role of zoos in maintaining biodiversity, we found a disconnect between this view and an understanding of how zoos might contribute to species conservation.
Antioxidant activities of postbiotics produced by several Lactobacillus plantarum strains using reconstituted media

The current study was conducted to determine the antioxidant activity of postbiotics produced by various strains of Lactobacillus plantarum grown in reconstituted media, as well as to identify the one with the best antioxidant activity based on scavenging free radicals. By using reconstituted media, six strains of L. plantarum (RG11, RG14, RI11, UL4, TL1, and RS5) were used to produce the postbiotics. The antioxidant activity of the postbiotics was determined using the 2,2-Diphenyl-1-Picryl-hydrazyl (DPPH) assay and 2,2’-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) assays. A significantly higher antioxidant activity of postbiotics was observed in RI11 compared to other postbiotics, whereas UL4 and RS5 were significantly higher (P<0.05) compared with RG11, RG14, and TL1. However, no significant difference was recorded between RG11, RG14, and TL1 in the postbiotics scavenging activity. Both the DPPH assay and ABTS radical cation scavenging potential showed that the various strains possess antioxidant activity.
Peroxidasin Inhibition by Phloroglucinol and Other Peroxidase Inhibitors

Human peroxidasin (PXDN) is a ubiquitous peroxidase enzyme expressed in most tissues in the body. PXDN represents an interesting therapeutic target for inhibition, as it plays a role in numerous pathologies, including cardiovascular disease, cancer and fibrosis. Like other peroxidases, PXDN generates hypohalous acids and free radical species, thereby facilitating oxidative modifications of numerous biomolecules. We have studied the inhibition of PXDN halogenation and peroxidase activity by phloroglucinol and 14 other peroxidase inhibitors. Although a number of compounds on their own potently inhibited PXDN halogenation activity, only five were effective in the presence of a peroxidase substrate with IC50 values in the low μM range. Using sequential stopped-flow spectrophotometry, we examined the mechanisms of inhibition for several compounds. Phloroglucinol was the most potent inhibitor with a nanomolar IC50 for purified PXDN and IC50 values of 0.95 μM and 1.6 μM for the inhibition of hypobromous acid (HOBr)-mediated collagen IV cross-linking in a decellularized extracellular matrix and a cell culture model. Other compounds were less effective in these models. Most interestingly, phloroglucinol was identified to irreversibly inhibit PXDN, either by mechanism-based inhibition or tight binding. Our work has highlighted phloroglucinol as a promising lead compound for the design of highly specific PXDN inhibitors and the assays used in this study provide a suitable approach for high-throughput screening of PXDN inhibitors.
Application of the image detection technology on dairy goat management

The identification of goat breeds in dairy farms often relies on the experience of breeders. However, the traditional method of manual breed identification requires significant training and depends on the professional experience of breeder. This process is time-consuming and can lead to misjudgments, particularly when the breeder lacks experience. To address these challenges, this study applied YOLO technology to conduct research on the detection and classification of goat breeds. Several advantages were observed in this study: (1) The augmentation technique was integrated with the YOLO model, and the anchor boxes were adjusted by k-means to improve the recognition accuracy; (2) The knowledge and research data were collected from breeders in a dairy goat farm located in southern Taiwan. (3) The results demonstrated a substantial improvement in average precision (AP) values, with mAP reaching 90.14%. Based on the findings, the outcomes of this research are expected to serve as a valuable reference for future studies on classification and detection technologies.
Analysis of Flexible Dual-Band Microstrip Patch Antenna for Wearable Applications

This paper presents the low profile flexible microstrip patch antenna. The proposed antenna is designed on 1 mm jean substrate to resonate in the industrial, scientific, and medical (ISM) band at frequency of 2.45 GHz and 5.8 GHz. The proposed antenna has low profile and stable radiation pattern. The antenna performance is examined by bending the proposed antenna with different radius in x-axis and y-axis. The influences of bending the antenna on the reflection coefficient, operating frequency, radiation pattern and gain are analyzed by simulation. The simulated results show that the antenna can be bent that it can operate at desired frequency. In addition, the performance of the proposed antenna is also studied when it is placed on the human body. The frequency band, radiation pattern, and gain are slightly changed as compared with the antenna in free space.
Testing the invasive mollusk L. fortunei (Dunker, 1857) in the main water bodies of the state of Parana, Brazil

Were collected in the main water bodies of the state of Parana (Brasil) it will seek the golden mussel larvae, Limnoperna fortunei (Dunker, 1857). This species of mussel is colonizing various water bodies in South America since its introduction in Argentina in 1991. Already reached the Parana and Paraguay rivers, having reported their presence in the states of Mato Grosso do Sul, Parana, Sao Paulo, Minas Gerais and Rio Grande do Sul Samples were collected in winter and spring of 2007 and summer and autumn 2008 in 14 sampling points along the rivers Iguacu, Piquiri, Ivai (tributaries of the Parana River) and Tibagi (tributary of the Paranapanema river). This study determined the presence of this species throughout all parts of the Iguacu River, in two sites of Piquiri and a sample point of the Tibagi river. In the Ivai River, their presence was not detected at any point in any season. Based on the results, was made a map of occurrence of the species in the state of Parana. These results are useful to base a decision concerning the advancement of the species in order to monitor their presence and / or prevent their entry into other water bodies in the state.