Miracle-dz/UniFAR-FTUs huggingface dataset:
Perspectives in Sports Genomics

Human athletic performance is a complex phenotype influenced by environmental and genetic factors, with most exercise-related traits being polygenic in nature. The aim of this article is to outline some of the challenge faced by sports genetics as this relatively new field moves forward. This review summarizes recent advances in sports science and discusses the impact of the genome, epigenome and other omics (such as proteomics and metabolomics) on athletic performance. The article also highlights the current status of gene doping and examines the possibility of applying genetic knowledge to predict athletes’ injury risk and to prevent the rare but alarming occurrence of sudden deaths during sporting events. Future research in large cohorts of athletes has the potential to detect new genetic variants and to confirm the previously identified DNA variants believed to explain the natural predisposition of some individuals to certain athletic abilities and health benefits. It is hoped that this article will be useful to sports scientists who seek a greater understanding of how genetics influences exercise science and how genomic and other multi-omics approaches might support performance analysis, coaching, personalizing nutrition, rehabilitation and sports medicine, as well as the potential to develop new rationale for future scientific investigation.
Seeds of love: Positivity bias mediates between passionate love and prorelationship behavior in romantic couples

Passionate love (PL) is a central concept in romantic relationships, yet the process through which it enhances relationship maintenance remains unclear. The current research included two studies of daily relationship experiences among dating couples (N = 203) and newlyweds (N = 173). We examined the contribution of PL to greater daily prorelationship behavior and the role of idealized views of romantic partners in explaining this association. Furthermore, we examined the unique effect of PL on prorelationship behavior beyond relationship commitment. Results indicated that positivity bias mediated the association between PL and prorelationship behavior, and this effect was independent of commitment. Conversely, relationship commitment did not predict prorelationship behavior beyond PL. These findings highlight the role of positively biased perceptions in explaining how the motivational experience of PL translates into daily acts and suggest that daily behaviors shaped by PL may support long-term goals of relationship maintenance.
A Hidden Attack Sequences Detection Method Based on Dynamic Reward Deep Deterministic Policy Gradient

Attacker identification from network traffic is a common practice of cyberspace security management. However, network administrators cannot cover all security equipment due to the cyberspace management cost constraints, giving attackers the chance to escape from the surveillance of network security administrators by legitimate actions and to perform the attack in both physical domain and digital domain. Therefore, we proposed a hidden attack sequence detection method based on reinforcement learning to deal with the challenge through modeling the network administrators as an intelligent agent that learns their action policy from the interaction with the cyberspace environment. Following Deep Deterministic Policy Gradient (DDPG), the intelligent agent can not only discover the hidden attackers hiding in the legitimate action sequences but also reduce the cyberspace management cost. Furthermore, a dynamic reward DDPG method was proposed to improve defense performance, which set dynamic reward depending on the hidden attack sequences steps and agent’s check steps, compared to the fixed reward in common methods. Meanwhile, the method was verified in a simulated experimental cyberspace environment. Finally, the experimental results demonstrate that there are hidden attack sequences in cyberspace, and the proposed method can discover the hidden attack sequences. The dynamic reward DDPG shows superior performance in detecting hidden attackers, with a detection rate of 97.46%, which can improve the ability to discover hidden attackers and reduce the 6% cyberspace management cost compared to DDPG.
Remote Healthcare for Elderly People Using Wearables: A Review

The growth of health care spending on older adults with chronic diseases faces major concerns that require effective measures to be adopted worldwide. Among the main concerns is whether recent technological advances now offer the possibility of providing remote health care for the aging population. The benefits of suitable prevention and adequate monitoring of chronic diseases by using emerging technological paradigms such as wearable devices and the Internet of Things (IoT) can increase the detection rates of health risks to raise the quality of life for the elderly. Specifically, on the subject of remote health monitoring in older adults, a first approach is required to review devices, sensors, and wearables that serve as tools for obtaining and measuring physiological parameters in order to identify progress, limitations, and areas of opportunity in the development of health monitoring schemes. For these reasons, a review of articles on wearable devices was presented in the first instance to identify whether the selected articles addressed the needs of aged adults. Subsequently, the direct review of commercial and prototype wearable devices with the capability to read physiological parameters was presented to identify whether they are optimal or usable for health monitoring in older adults.
Resource use and coexistence of three hylid species in temporary ponds of an Eastern Amazonian forest fragment

ABSTRACT Species with widely overlapping ecological niches tend to compete for resources. However, the distinct use of some of these resources can help reduce overlap and allow ecologically species similar to coexist. In this study, we evaluate the spatial and trophic ecology of three species of sympatric hylids (Dendropsophus melanargyreus, D. minutus and Scinax cf. ruber) in order to analyse the mechanisms which allow their coexistence in temporary ponds during the reproductive period. This study was conducted at the Gunma Ecological Park (PEG), a forest fragment in the Eastern Amazon. Information on habitat use of species was obtained in the temporary ponds and some individuals were collected to determine their diets. Species differed in vegetation and substrate types used as perches, as well as in perch height and depth of ponds. Dendropsophus melanargyreus, for example, used the highest perches when compared to the other species, while Scinax cf. ruber differs from other species in their vegetation type used, and D. minutus differs from all others in their substrate type and pond depth used. Despite the large overlap in the diet of these species, differences in the frequency, importance of consumed prey, and also the consumption of specific prey types, allow these species to use similar feeding resources. We concluded that the complementary use of spatial and trophic resources allow these species to coexist in the temporary ponds analysed. In addition, the presence of herbaceous and shrub vegetation in the ponds also contributes to the partitioning of spatial niches among the different species, allowing them to use distinct resources. This study provides relevant information on the mechanisms of partitioning of spatial and trophic resources among three hylid species that coexist in the temporary ponds of this Eastern Amazon forest fragment.
Analysis of stock exchange risk and currency in South African Financial Markets using stable parameter estimation

In the preceding decade, the South African economy has experienced challenges due to global disruptive events, hence, the implementation of risk mitigation strategies becomes a priority in volatile markets. Stable distributions account for skewness and heavy-tailed behaviour which are frequently observed in financial data. This study aims to investigate the fit of stable distributions for three FTSE/JSE indices and the USD/ZAR currency exchange rate. The maximum likelihood method was applied to fit Nolan’s -parameterization stable distribution. Value at Risk (VaR) is measure assessing market risk, therefore, VaR estimates and Kupiec likelihood test are applied to evaluate the extreme tail behaviour of the fitted stable model. Results show the robustness of stable distributions in the long and short position for each daily returns. This research validates the use of stable distributions aimed at capturing the characteristics financial data. Those concerned with curtailing losses and investigating alternatives for financial modeling in the South African financial industry may benefit the most by using stable distributions.
A wireless monitoring system for health care applications

The research presented in this paper describes the development of a multichannel mobile system for real-time healthcare monitoring. A Laptop PC as a base unit communicates using the Bluetooth protocol with a patient-dedicated multi-channel physiological quantity measurement unit based on microcontroller. Thus the system allows the monitoring of the information gathered by the microcontroller from the measurement channels associated with the body temperature, electrocardiogram through biopotentials and respiration through bioimpedance. Real-time analysis of the cardiac and respiratory cycles is performed by the microcontroller that generates alarm signals in case of occurrence of arrhythmias or other anomalous physiological behaviour. Advanced processing software is implemented on the PC level, allowing the evaluation of the heart rate variability. Other tasks performed by the PC software are data communication and data publishing. Thus a health care server assures the publishing of reports in HTML format, at a user-defined rate, providing access to the patient's status without physical constrains. The experimental results underlines the system as a good solution for real-time patient healthcare monitoring applications considering the different tests taken with real and simulated human biological signals.
Effects of ultra-high pressure treatment on ACE inhibitory activity, antioxidant activity, and physicochemical properties of milk fermented with Lactobacillus delbrueckii QS306.

The present study investigated the influence of ultra-high pressure (UHP) treatment on angiotensin-converting enzyme inhibitory (ACEI) activity and quality of milk fermented with Lactobacillus delbrueckii QS306 after storage. By varying treatment pressure, duration of pressure treatment, and duration of fermentation, optimal process parameters for the UHP treatment of milk fermented with QS306 to enhance ACEI activity were found to be 400 MPa, 10 min, and 48 h, respectively. The degree of ACE inhibition of the fermented milk was 91.63 ± 0.02%. After UHP treatment, ACEI activity, apparent viscosity, concentrations of polypeptides and volatile aromatic substances, umami, and richness had increased significantly, bitterness and astringency were significantly reduced, and antioxidant properties were maintained. In addition, UHP fermented milk maintained a high level of ACEI activity and good quality during storage. Thus, the data represent a valuable reference for improving the storage quality of fermented milk and research for the future development of dairy products with high ACEI activity.
Variation in sediment and seagrass characteristics reflect multiple stressors along a nitrogen‐enrichment gradient in a New England lagoon

We examined concentrations of organic carbon, dissolved sulfides, total sediment sulfur, and stable sulfur isotope ratios in seagrass leaf tissues across a nitrogen‐enrichment gradient in a coastal marine ecosystem (Cape Cod, Massachusetts) in 2007–2010 and 2017–2019. We also measured seagrass aboveground and belowground biomass, epibiota biomass, and leaf chlorophyll content. Seagrasses were present at all sites in the former period but were lost at our most nitrogen‐impacted site (Snug Harbor) by 2011. In 2007–2010, sediment organic carbon and dissolved sulfides were highest in Snug Harbor and decreased along the gradient; leaf tissues depleted in 34S also indicated higher sulfide intrusion into seagrass tissues in more eutrophic areas. By 2017–2019, sediment organic carbon and pore‐water soluble sulfides had decreased in Snug Harbor, but had increased at the intermediate site, to levels found at the most impacted site prior to the seagrass die‐off. Again, leaf tissue 34S depletion reflected this pattern, indicating seagrasses were exposed to the highest sulfides at the intermediate site. The decreases in sediment organic carbon and soluble sulfides in Snug Harbor years after the loss of the seagrasses illustrate a feedback between high organic matter in seagrass beds and increasing stressors like elevated soluble sulfides in nutrient‐enriched systems. We found significant relationships between sediment conditions and seagrass responses, including greater aboveground to belowground biomass ratios, epibiota biomass, and 34S‐depleted leaves at sites with high pore‐water sulfide and highly organic sediments. Our research suggests that the reduction of anthropogenic nitrogen entering the harbor is necessary for improving sediment quality and preventing seagrass mortality.
Extinction risk, reconstructed catches, and management of chondrichthyan fishes in the Western Central Atlantic Ocean

Chondrichthyan fishes are among the most threatened vertebrates on the planet because many species have slow life histories that are outpaced by intense fishing. The Western Central Atlantic Ocean, which includes the greater Caribbean, is a hotspot of chondrichthyan biodiversity and abundance, but is historically characterized by extensive shark and ray fisheries and a lack of sufficient data for effective management and conservation. To inform future research and management decisions, we analyzed patterns in chondrichthyan extinction risk, reconstructed catches, and regulations in this region. We summarized the extinction risk of 180 sharks, rays, and chimaeras using contemporary IUCN Red List assessments and found that over one-third (35.6%) were assessed as Vulnerable, Endangered, or Critically Endangered largely due to fishing. Reconstructed catches from 1950 to 2016 reached their peak in 1992, then declined by 40.2% through the end of the series. The United States, Venezuela, and Mexico were responsible for most catches and hosted large proportions of the regional distributions of threatened species; these countries therefore held the greatest responsibility for chondrichthyan management. The abundance and resolution of fisheries landings data were poor in much of the region, and national-level regulations varied widely across jurisdictions. Deepwater fisheries represent an emerging threat, although many deepwater chondrichthyans currently find refuge beyond the depths of most fisheries. Regional collaboration as well as effective and enforceable management informed by more complete fisheries data, particularly from small-scale fisheries, are required to protect and recover threatened species and ensure sustainable fisheries.
Genome-wide characterisation, evolution and expression analysis of the leucine-rich repeat receptor-like kinase (LRR-RLK) gene family in cucumbers

The leucine-rich repeat receptor-like kinases (LRR-RLKs) compose a large gene family in plant genomes and implement essential functions in diverse plant physiology progress, including defence against pathogens. However, a systematic analysis of LRR-RLKs has not been accomplished in the economically important cucumber. 189 LRR-RLK genes were identified in the cucumber genome and further divided into 22 subgroups based on the sequence similarities in this study. A total of 31 segmental duplication events and 15 tandem duplication events were present in the genome, indicating that the two duplications were the main driving forces for the expansion of the LRR-RLK family in the cucumber. The expression profile analysis revealed that most of the CsLRR-RLKs were upregulated during a downy mildew infection, and resistant cucumbers comprised more upregulated CsLRR-RLKs than the sensitive lines. Taken together, our results provided information on the LRR-RLK gene family in the cucumber and contributed valuable information for the further research of CsLRR-RLKs.
Effectiveness of Multistrain Probiotic Formulation on Common Infectious Disease Symptoms and Gut Microbiota Modulation in Flu-Vaccinated Healthy Elderly Subjects

The decline of the immune system with aging leads elderly people to be more susceptible to infections, posing high risk for their health. Vaccination is thus important to cope with this risk, even though not always effective. As a strategy to improve protection, adjuvants are used in concomitance with vaccines, however, occasionally producing important side effects. The use of probiotics has been proposed as an alternative to adjuvants due to their efficacy in reducing the risk of common infections through the interactions with the immune system and the gut microbiota. A placebo-controlled, randomized, double-blind, clinical trial was carried out on fifty elderly subjects, vaccinated for influenza, to determine the efficacy of a probiotic mixture in reducing common infection symptoms. The incidence of symptoms was evaluated after 28 days of probiotic intake (namely, T28) and after further 28 days of follow-up (namely, T56). The number of subjects, as well as the number of days with symptoms, was remarkably reduced at T28, and even more at T56 in the probiotic group. Furthermore, the influence of probiotics on immunological parameters was investigated, showing a significant positive improvement of total antioxidant capacity and β-defensin2 levels. Finally, faecal samples collected from participants were used to assess variations in the gut microbiota composition during the study, showing that probiotic intake enhanced the presence of genera related to a healthy status. Therefore, the collected results suggested that the treatment with the selected probiotic mixture could help in reducing common infectious disease symptom incidence through the stimulation of the immune system, improving vaccine efficacy, and modulating the composition of the resident gut microbiota by enhancing beneficial genera.
Residues of Thiamethoxam 12.6%+ Lambda Cyhalothrin 9.5%ZC in Vegetable Cowpea

A field experiment was conducted to study the rate of dissipation of insecticide mixture (thiamethoxam 12.6%+ lambda cyhalothrin 9.5%ZC) in vegetable cowpea. The insecticide mixture @ 0.30 ml l-1 was sprayed at pod formation stage, and samples of pods were harvested at 0 (2 hr after spray), and 1, 3, 5, 7, 10, 15 days after spray. The residues were estimated using liquid chromatography tandem mass spectrometer (LC MS/ MS) and GC-ECD at the All India Network Project on Pesticides Residues, College of Agriculture, Vellayani, Kerala. The residues of thiamethoxam and lambda cyhalothrin were found to be 0.12 and 0.21 μg g-1, respectively. Residues were observed to persist up to three days, and were below detectable level on the fifth day.
Discourse on modern terrorism

In this paper author discusses the characteristics of discourse on modern terrorism. When it comes to the terrorism ordinary people gain knowledge mostly through media. The influence of specific image of terrorism is not limited to citizens who live in countries which faced with a terrorist threat or concrete attack but goes further to the different part of the world, some of them very far from the possibility of terrorist attack. Demystification of discourse on modern terrorism begins with analysis of the phenomenological dimension of modern terrorism, in terms of being defined and assigned. We can talk about two different approaches: older and newer, in understanding the terrorism. The new approach gains momentum with the events of 11 September and took shape after similar events on European continent. At the core of understanding of modern terrorism is the discourse on religious-based Islamic terrorism. Specific discourse on modern terrorism affects how it is understood by the general public, and it influences, in particular, the creation of stereotypes about a modern terrorists and the spread of fear of terrorism. The formation and maintenance of stereotypes about modern terrorism, which emphasizes the role of Islam and members of the Islamic community in planning and carrying out terrorist actions, creates a growing gap among people, especially in countries affected by terrorist attacks. The discourse on modern terrorism also implies an appropriate perception of the risk of terrorism all over the world. From that point of view risk of terrorism is real and constant. Similar situation is in Serbia and in that sense the results of limited research about perception of terrorism in Serbia presented in work show to a certain extant the existence of such global influence.
Agro-Dealers’ Knowledge, Perception, and Willingness to Stock a Fungal-Based Biopesticide (ICIPE 20) for Management of Tuta absoluta in Kenya

In sub-Saharan Africa (SSA), tomato is an economically important crop that contributes not only to employment and income, but also food security. Like the rest of the SSA countries, tomato production in Kenya is constrained mainly by pests and diseases, key among them being the tomato leaf miner (Tuta absoluta), which can cause 80–100% losses if not properly managed. To suppress this pest, the International Centre of Insect Physiology and Ecology (ICIPE) and partners are introducing a fungal-based biopesticide (ICIPE 20) in an Integrated Pest Management (IPM) approach as a sustainable alternative to the sole use of synthetic pesticides. This study was carried out before the introduction of the biopesticide to assess its commercial feasibility among agro-dealers, using Kirinyaga County in Kenya where tomato production is predominant, as the study area. Specifically, the study assessed the knowledge, perception, and willingness to stock biopesticide using a market survey involving 141 agro-dealers. Successful commercialization of a new product is assumed to be the cumulative result of traders’ and buyers’ knowledge and perceptions about the product. The results show that a higher proportion of agro-dealers were willing to pay for ICIPE 20 at a higher price than Coragen®, the most popular insecticide for management of T. absoluta. The regression analysis revealed that individual characteristics such as age, education, access to social networks and credit facilities, and information are correlated to the agro-dealer’s knowledge, perception, and willingness to stock the biopesticide. Training agro-dealers may promote greater uptake of the biopesticides through enhancing their knowledge and perception towards the effectiveness of the product.
Fastener Classification Using One-Shot Learning with Siamese Convolution Networks

Deep Learning has been widely used in image-based applications such as object classification, object detection, and object recognition in recent years. Classifying highly similar objects is a very difficult problem. It is difficult to classify datasets in this situation where object similarity between classes and differences between classes are high. In this study, Siamese Convolution Neural Network, which is a similarity measurement-based network, has been practiced to classify 6 types of screws, 5 types of nuts, and 7 types of bolts that are very similar to each other. In addition, this neural network formed with the One-Shot Learning technique is trained. Thanks to the OSL technique, there is no need to use large data sets. Also, there is no need to use large amounts of data from each class. Adding a new class to be classified is also made easier by the use of the OSL technique. The performance results of the proposed method are manifested in detail in the article.