Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of moderate blood flow restriction induced by KAATSU on muscle activation, heart rate, and rate of perceived exertion during low-intensity aerobic exercise:

[Objective] We examined the effects of moderate blood flow restriction due to KAATSU on rectus femoris activation, heart rate (HR), and ratings of perceived exertion (RPE) while cycling at an intensity just below anaerobic threshold (AT). [Methods] A healthy young male (age = 23 y) performed symptom-limited graded exercise testing on a cycle ergometer with KAATSU (180 SKU) or without KAATSU on 2 separate days. We recorded surface electromyogram (EMG) from the right rectus femoris, HR, RPE for breathlessness and effort in lower limbs. [Results] The participant reached AT with lower physical and perceived effort with KAATSU than without KAATSU. Muscle activation was similar during exercise between with and without KAATSU just below AT. [Conclusion] Exercise just below AT with KAATSU vs. without KAATSU elicited lower physical and perceived effort without difference in muscle activation. Therefore, low-intensity aerobic exercise with KAATSU might be an effective, low-burden, and safe method for the rehabilitation of patients with cardiovascular disease.
Convenient Screening of Antifouling Agents for Direct Recovery of Bioproducts Employing a Fast Microplate Assay

Major limitations in direct recovery of bioproducts from unclarified feedstock are predominantly associated with the presence of suspended whole and lysed biomass in processing systems. Most commonly, biomass interaction with adsorbent beads, synthetic membranes, and other processes surfaces causes fouling. This phenomenon is usually detrimental to bioprocess performance. This study focused on the development of a simple, easy to implement, economical and robust technique to evaluate biomass deposition and screening for chemical agents able to prevent such phenomenon. The results were confirmed by linking biomass deposition with surface energetics according to the extended Derjaguin, Landau, Verwey and Overbeek (xDLVO) theory. Assay development involved the modification of the inside surface of microwell polystyrene plates with diethyl-aminoethyl (DEAE) functional groups. The resulting microplate surface mimics commercial chromatographic anion-exchangers matrices that are prone to biomass fouling. Two biomass types, Saccharomyces cerevisiae and Chinese hamster ovary (S. cerevisiae and CHO, respectively) cells and twenty-five polyelectrolytes or amphiphilic compounds were employed. Results showed that DEAE-modified surface had the highest cell deposition while agent-coated wells showed varying degrees. Direct experimental observations and calculations performed based on xDLVO approach indicated that polyacrylic acid, polymethacrylic acid, and poly(vinyl sulfate) could prevent CHO cells and yeast deposition. On the other hand, polysulphonic acid and poly(sodium 4-styrenesulfonate) were only effective to prevent yeast deposition. Microscopic visualization of polymer-coated beads in the presence of biomass confirmed the mentioned results.
The Influence of Product Upgrading and Quality on Customer Satisfaction and Its Impact on Consumer Loyalty Standardized Herbal Medicine: Research on Tolak Angin Sido Muncul Product in DKI Jakarta

This study aimed at determining the impact of product upgrading and product quality on consumer satisfaction and its impact on consumer loyalty standardized herbal medicine Tolak Angin Sido Muncul. This study used a survey method with all populations of Tolak Angin Sido Muncul in DKI Jakarta, while in taking the sample; the researcher used a sampling method. Research findings support that product upgrading has no significant impact on customer satisfaction and has a negative significant impact on customer loyalty. Product quality has a significant impact on customer satisfaction and customer loyalty. Customer satisfaction has a significant impact on customer loyalty. Elaborating the product quality and customer satisfaction support significantly affects customer loyalty. The findings have contributed new ideas to the theoretical framework of herbal medicines classifies. They are not confirming the importance of upgrading in the herbal medicine classifies in the relationship between customer satisfaction and customer loyalty.
Inadequate antioxidant protection in preterm babies: possible cause for hyperbilirubinemia

Many illnesses in pre-term infants are thought to be related to the action of reactive oxygen species and it is conceivable that the oxidants play a certain role in the etiopathogenesis of unconjugated hy- perbilirubinemia. We hypothesized that an important factor in the mechanism of oxidative injury in hyperbilirubinemic infants on the first day of life would be increased oxidative stress in relation to antioxidants. For this aim, 43 pre-term infants as well as full-term healthy reference group (A=50) were subjected in the present study. Additionally, pre-terms were divided in: healthy pre-terms (B=25) and hyperbilirubinemic pre-terms (C=18). Perinatal variables (gestational age, birth weight and Apgar score) were recorded, and erythrocyte superoxide dismutase (SOD) and glutathione peroxidase (GPx) activity and selenium (Se) levels were measured in umbilical cord blood, immediately after the delivery. The obtained results indicate strikingly lower antioxidant capacity of pre-term infants; they showed significantly lower SOD and GPx activity and Se level, compared to the full-term infants (p<0,001, for all). In the hyperbilirubinemic group, GPx activity and Se levels were found to be significantly lower than those in healthy pre-terms (p<0.001, for both), while SOD showed highly increased enzyme activity (p<0.001). Alterations in enzyme activities were accompanied by a simultaneous significant increase in the bilirubin level (p<0.001). In conclusion, disequilibrium between SOD and GPx activity ratio may represent a marker of oxidative stress in cells of premature infants. Aditionally, this inadequacy of the protection, may cause erythrocyte haemolysis, resulting with hyperbilirubinaemia.
English vowel perception by non-native speakers: impact of audio and visual training modalities

Perception of sounds of a second language (L2) presents difficulties for non-native speakers which can be improved with training (Bradlow, Pisoni, Akahane-Yamada & Tohkura, 1997; Logan, Lively & Pisoni, 1991; Iverson & Evans, 2009). The aim of this study was to compare three different English vowel perceptual training programmes using audio (A), audiovisual (AV) and video (V) modes in non-native speakers with Spanish as native language (L1). 47 learners of English with Spanish as L1 were allocated to three different vowel training groups (AT, AVT, VT) and were given five training sessions to assess their improvement in English vowel perception. Additionally, participants were recorded before and after training to measure their improvement in the production of English vowels. Results showed that participants improved their perception and production of English vowels regardless of their training modality with no evidence of a benefit of visual information. These results also suggest that there is a lot of individual differences in perception and production of L2 vowels which may be related to a complex relation between speech perceptual and production mechanisms.
A Genetic Based Leader Election Algorithm for IoT Cloud Data Processing

: In IoT networks, nodes communicate with each other for computational services, data processing, and resource sharing. Most of the time huge data is generated at the network edge due to extensive communication between IoT devices. So, this tidal data is transferred to the cloud data center (CDC) for efficient processing and effective data storage. In CDC, leader nodes are responsible for higher performance, reliability, deadlock handling, reduced latency, and to provide cost-effective computational services to the users. However, the optimalleader selection is a computationallyhard problem as several factors like memory, CPU MIPS, and bandwidth, etc., are needed to be considered while selecting a leader amongst the set of available nodes. The existing approaches for leader selection are monolithic, as they identify the leader nodes without taking the optimal approach for leader resources. Therefore, for optimal leader node selection, a genetic algorithm (GA) based leader election (GLEA) approach is presented in this paper. The proposed GLEA uses the available resources to evaluate the candidate nodes during the leader election process. In the first phase of the algorithm, the cost of individual nodes, and overall cluster cost is computed on the bases of available resources. In the second phase, the best computational nodes are selected as the leader nodes by applying the genetic operations against a cost function by considering the available resources. The GLEA procedure is then compared against the Bees Life Algorithm (BLA). The experimental results show that the proposed scheme outperforms BLA in terms of execution time, SLA Violation, and their utilization with state-of-the-art schemes.
Collaborative mission optimization for ship rapid search by multiple heterogeneous remote sensing satellites

Multiple heterogeneous satellites mission optimization is a typical kind of non-deterministic polynomial-time hard (NP-hard) problem, and some complicated scenarios bring new challenges. A novel method of missing ship rapid search using multiple grouped heterogeneous satellites is introduced in this paper. The focus is on optimization of collaborative mission optimization for various satellites including low-earth orbit (LEO) satellite and geostationary orbit (GEO) satellites. A fast coverage of the wide sea area using imaging satellites with narrow coverage range has become the most important part to tackle this problem. However, due to different imaging mechanisms of heterogeneous satellites and other constraints, it brings a great challenge to construct the optimization model. A constrained optimization problem model considering the cooperation between LEO and GEO satellites is constructed. A solution strategy based on bi-level metaheuristic algorithm is designed. The time optimal solution of the collaborative task planning between LEO and GEO satellites can be obtained based on the optimal attitude maneuver path of GEO satellites. Thus, wide-area search for missing ships can be conducted in an effective way. The effectiveness of the proposed method is verified by an example.
Trialling seawater irrigation to combat the high nest temperature feminisation of green turtle (Chelonia mydas) hatchlings

Global increases in beach sand temperatures are predicted to skew hatchling sex ratios of marine turtle populations towards female bias. Currently, shade structures and freshwater irrigation are management strategies used to cool nest temperatures, but require resources that are limited at remote rookeries. Here, we report on a novel investigation that used seawater irrigation as a sand-cooling method. Various volumes of seawater were applied to sand to determine the optimal application required to lower sand temperatures at nest depth to produce malebiased sex ratios. We performed these experiments during the 2019−2020 nesting season at Heron Island on the southern Great Barrier Reef, Australia, and at Panasesa Island, Papua New Guinea. We found the amount of cooling at nest depth was site dependent and varied with the seawater irrigation regime used. At Heron Island, we used a one-off application of the equivalent of 120 mm of rainfall either as freshwater or seawater to the sand above incubating clutches 18 d after ovi position to determine whether this affected the hatching success of green turtle Chelonia mydas eggs. Both treatments had higher hatching success (83.8 ± 3.5% and 71.2 ± 6.3%, respectively, means ± SE) compared to control clutches (63.5 ± 6.0%). Our results indicate that a one-off application of seawater may be an effective management option for reducing nest temperatures during the sex-determining period of marine turtle clutches incubating in situ. Seawater irrigation could be used in areas where populations are at highest risk of feminisation caused by a hot drying climate where freshwater is not available for irrigation.
Acceptability and Impact of a Breathing Awareness Meditation Application on Stress, Strain, Sleep Quality Among Caregivers of Kidney Transplant Recipients

Background: Caregivers are a crucial part of positive health outcomes for many chronically ill patients. Many caregivers experience stress and strain related to their caregiving role that may lead to neglecting their own health, both physical and mental, ultimately causing development of their own chronic illnesses. Aim of the study: To evaluate acceptability and usability of a previously validated smartphone stress reduction app (Tension Tamer [TT]) among caregivers of kidney transplant recipients (KTR-Cs). An exploratory aim was to determine preliminary signals of efficacy of perceived stress, sleep quality, and blood pressure control. Methods: A proof of concept randomized controlled trial with 20 KTR-Cs randomized into one of two groups: TT intervention arm or attention control (AC) arm. TT arm received a previously validated breathing awareness meditation (BAM) mobile application to use twice daily for three months while the AC arm received daily healthy education SMS messages. Study visits were conducted at baseline, 1-month, 2-month and 3-months visits. Results: Mean age of the entire sample was 56.2±14.6 years, 72.7% female and 59.1% African American (40.9% white). Respondents averaged 19.3 ± 11.7 hours of caregiving/week, with 60% working full or part-time. There was a 100% participation rate and 90% retention rate. The majority of the sample (75%) at baseline self-reported high perceived stressed, 90% indicated poor sleep and 60.0% had high caregiver strain. Average adherence across the trial to the TT protocol (two 10 min sessions/day) was 71.8%. Compared to the AC group, the TT group experienced significantly greater improvements in perceived stress, caregiver strain, sleep quality and systolic blood pressure at 3-months (-8.7 vs +4.1mmHg, p<.05). Conclusion: Results from this study indicate that a user friendly, BAM program may be efficacious in improving perceived stress, sleep quality and blood pressure control among KTR-Cs if tested in a properly powered RCT.
Validation of T-MoCA in the Screening of Mild Cognitive Impairment in Chinese Patients With Atrial Fibrillation

Background Atrial fibrillation (AF) is associated with a high risk of mild cognitive impairment (MCI) and dementia. However, feasible and simple instruments that facilitate the regular assessment of cognitive status in patients with AF remain underdeveloped. Methods Cognitive function was first evaluated using telephone Montreal cognitive assessment (T-MoCA), and then patients were invited for an in-person interview for cognitive assessment using both Clinical Dementia Rating (CDR) and mini-mental status evaluation (MMSE). Using CDR = 0.5 as a reference standard, the ability of T-MoCA and MMSE to discriminate cognitive dysfunction, stratified by education level, was tested by receiver–operating curve (ROC) analysis. The net reclassification index was calculated for comparison between the performance of T-MoCA and MMSE. Results One hundred and one patients completed both telephone and in-person interview. Thirty-five MCI patients were identified as MCI using the criteria of CDR = 0.5. The areas under the ROC curve of T-MoCA were 0.80 (0.71–0.89), 0.83 (0.71–0.95), and 0.85 (0.64–0.92) for all patients, patients with high educational level, and patients with low education level, respectively. The optimal threshold was achieved at 16/17 with a sensitivity of 85.7% and a specificity of 69.7% in overall patients, 15/16 with a sensitivity of 88.2% and a specificity of 64.5% in the low educational level patients, and 16/17 with a sensitivity of 77.8% and a specificity of 87.9% in the high educational level patients. Compared to the criterion MMSE ≤ 27 and MMSE norms for the elderly Chinese community, the stratified T-MoCA threshold improves correct classification by 23.7% (p = 0.033) and 30.3% (p = 0.020), respectively. Conclusion T-MoCA is a feasible and effective instrument for MCI screening in patients with AF.
Convolutional Bi-LSTM Based Human Gait Recognition Using Video Sequences

: Recognition of human gait is a difficult assignment, particularly for unobtrusive surveillance in a video and human identification from a large distance. Therefore, a method is proposed for the classification and recognition of different types of human gait. The proposed approach is consisting of two phases. In phase I, the new model is proposed named convolutional bidirectional long short-term memory (Conv-BiLSTM) to classify the video frames of human gait. In this model, features are derived through convolutional neural network (CNN) named ResNet-18 and supplied as an input to the LSTM model that provided more distinguishable temporal information. In phase II, the YOLOv2-squeezeNet model is designed, where deep features are extricated using the fireconcat-02 layer and fed/passed to the tinyYOLOv2 model for recognized/localized the human gaits with predicted scores. The proposed method achieved up to 90% correct prediction scores on CASIA-A, CASIA-B, and the CASIA-C benchmark datasets. The proposed method achieved better/improved prediction scores as compared to the recent existing works.
Action to Combat the Environmental crime of the Brazilian Amazon: The case of the Integrated Operation of the “Ponta do Abunã”

— The objective of the study was to analyze the integrated inspection model of the Superintendencies of Ibama do Acre, Amazonas and Rondônia (integrated action) carried out in the Ponta do Abunã region as a more efficient and effective inspection model to be carried out in the State of Rondônia and in Western Amazon. Materials and Method: it's a case study. Two semi-structured instruments were applied with three subjective questions, comprising three axes: 1st Axis - characterization of the positive aspects; 2nd Axis - characterization of negative aspects; 3rd Axis - pointing out improvement measures to be integrated into the inspection model. The first instrument was applied to the Focus Group, consisting of the members who participated in the environmental inspection operation “Ponta do Abunã” and the second instrument applied to the Steering Group of the institutions that promote and execute environmental policies. Results: it was possible to perceive that the integrated inspection model has a greater protection of the environment in all spheres, given the improvement in the organization and the maximization of the use of resources. However, there is a lack of equipment and a logistics structure for the transportation and storage of seized goods. Thus, it could be perceived that there was an improvement in the State's capacity to prosecute violators, however, improvement actions are needed when dealing with the seized assets.Final considerations: it stands out as a positive point pointed out by the group the greater protection of the environment in all spheres, the improvement in the organization and the maximization of the use of resources. The integration between the political and administrative entities allows inspection action of superior technical quality and with lower costs. In the perception of inspection agents, actions occur infrequently and this results in the loss of inspection effectiveness. According to the researched group, a more continuous inspection would bring better results.
Partial Discharge Online Detection for Long-Term Operational Sustainability of On-Site Low Voltage Distribution Network Using CNN Transfer Learning

Partial discharge (PD) detection studies aiming at the fault diagnosis for facilities and power cables in transmission networks have been conducted over the years. Recently, the deep learning models for PD detection have been used to diagnose the PD fault of facilities and cables. Most PD studies have been conducted in the field, such as gas-insulated switchgear (GIS) and power cables for high voltage transmission networks. There are few studies of PD fault detection for on-site low-voltage distribution networks. Additionally, there are few studies of PD detection algorithms for improving the accuracy of the deep learning models using small real PD data only. In this study, a PD online detection system and a model for long-term operational sustainability of on-site low voltage distribution networks are proposed using convolutional neural network (CNN) transfer-learning. The proposed PD online system makes it possible to acquire as many real PD data as possible through continuous monitoring of PD occurrence. The PD detection accuracy results showed that the proposed CNN transfer-learning models are more effective models for obtaining improved accuracy (97.4%) than benchmark models, such as CNN and support vector machine (SVM) using only small real PD data acquired from PD online detection system.
The ‘Eudaimonic Experience’: A Scoping Review of the Concept in Digital Games Research

Digital games have evolved into a medium that moves beyond basic toys for distraction and pleasure towards platforms capable of and effective at instigating more serious, emotional, and intrapersonal experiences. Along with this evolution, games research has also started to consider more deeply affective and cognitive reactions that resemble the broad notion of eudaimonia, with work already being done in communication studies and media psychology as well as in human–computer interaction. These studies offer a large variety of concepts to describe such eudaimonic reactions—including eudaimonia, meaningfulness, appreciation, and self-transcendence—which are frequently used as synonyms as they represent aspects not captured by the traditional hedonic focus on enjoyment. However, these concepts are potentially confusing to work with as they might represent phenomenological distinct experiences. In this scoping review, we survey 82 publications to identify different concepts used in digital gaming research to represent eudaimonia and map out how these concepts relate to each other. The results of this scoping review revealed four broad conceptual patterns: (1) appreciation as an overarching (yet imprecise) eudaimonic outcome of playing digital games; (2) covariation among meaningful, emotionally moving/challenging, and self-reflective experiences; (3) the unique potential of digital games to afford eudaimonic social connectedness; and (4) other eudaimonia-related concepts (e.g., nostalgia, well-being, elevation). This review provides a conceptual map of the current research landscape on eudaimonic game entertainment experiences and outlines recommendations for future scholarship, including how a focus on digital games contributes to a more comprehensive understanding of eudaimonic media experiences broadly.
Preparing Allicin Nanocapsules and Determining the Factors Controlling Their Particle Size through Artificial Intelligence

Abstract Allicin nanocapsules were prepared via ionotropic pre-gelation. The wall materials were alginate-chitosan biopolymers. Nanocapsules were characterized using Fourier transform infrared spectroscopy (FT-IR) and field emission scanning electron microscopy (FE-SEM). We tried to simulate the effects of three different variables on particle size through artificial intelligence approaches. Feedforward neural networks (FFNN) and adaptive neuro-fuzzy inference system (ANFIS) were employed to model the size of allicin nanocapsules, and the latter was found to be relatively more successful in this regard. Finally, genetic algorithms were employed to determine the optimal values for the variables at which the smallest particles were formed.