Miracle-dz/UniFAR-FTUs huggingface dataset:
Persistent risk of vascular complications and efficacy of prolonged dual antiplatelet therapy after myocardial infarction

The article discusses data on the duration of risk retention and the main cause of vascular complications in patients with acute coronary syndrome. Preconditions for prolonged use of dual antiplatelet therapy after myocardial infarction are presented. The authors consider the results of a large, prospective, randomized, placebo-controlled, multinational PEGASUS-TIMI 54 study evaluating the efficacy and safety of the long-term use of acetylsalicylic acid combined with ticagrelor (P2Y12 platelet receptor blocker) in patients with a high risk of thrombotic complications of atherosclerosis in the period from 1 to 3 years after myocardial infarction. The article presents an analysis of optimal approaches to prolonged double antiplatelet therapy after myocardial infarction, taking into account the results of the PEGASUS-TIMI 54 study, which laid the foundation for current clinical guidelines. The PEGASUS-TIMI 54 study demonstrated the benefits of prolonged dual antiplatelet therapy for at least 4 years after myocardial infarction in patients with a high risk of atherothrombotic
Considering the κ − µ fading channels adopted in multiple antennas downlink non-orthogonal multiple access

Massive connectivity and effective spectrum usage have become more important as the use of wireless communication devices and networks has grown dramatically. The approach of non-orthogonal multiple access (NOMA) is advocated as a viable solution for meeting consumers’ current needs. The signals are overlaid with various power levels for each user in a NOMA-assisted system, and then broadcast to the receiver. SIC (successive interference cancellation) is used by the receiver to discriminate and get the needed signal. Until far, most studies have concentrated on SIC with ideal features, with only a handful focusing on SIC with imperfect qualities (ipSIC). While the perfect SIC (pSIC) represents the ideal condition of no data loss and no external sounds, the ipSIC represents data transfer in a real-time context. In this research, we will assess the system performance metrics of the investigated NOMA system in the presence of ipSIC and compare them to the performance of the same user’s pSIC. We define channels as κ−µ fading distributions, which is more essential. For two destinations, we construct accurate outage probability formulas. Meanwhile, Monte-Carlo simulations are run to ensure that the mathematical expressions derived are genuine.
Proposed multidimensional pain outcome methodology to demonstrate analgesic drug efficacy and facilitate future drug approval for piglet castration

Castration of male piglets in the United States is conducted without analgesics because no Food and Drug Administration (FDA) approved products are labeled for pain control in swine. The absence of approved products is primarily due to a wide variation in how pain is measured in suckling piglets and the lack of validated pain-specific outcomes individually indistinct from other biological responses, such as general stress or inflammation responses with cortisol. Simply put, to measure pain mitigation, measurement of pain must be specific, quantifiable, and defined. Therefore, given the need for mitigating castration pain, a consortium of researchers, veterinarians, industry, and regulatory agencies was formed to identify potential animal-based outcomes and develop a methodology, based on the known scientific research, to measure pain and the efficacy of mitigation strategies. The out-come-based measures included physiological, neuroendocrine, behavioral, and production parameters. Ultimately, this consortium aims to provide a validated multimodal methodology to demonstrate analgesic drug efficacy for piglet castration. Measurable outcomes were selected based on published studies suggesting their validity, reliability, and sensitivity for the direct or indirect measurement of pain associated with surgical castration in piglets. Outcomes to be considered are observation of pain behaviors (i.e. ethogram defined behaviors and piglet grimace scale), gait parameters measured with a pressure mat, infrared thermography of skin temperature of the cranium and periphery of the eye, and blood biomarkers. Other measures include body weight and mortality rate. This standardized measurement of the outcome variable ’ s primary goal is to facilitate consistency and rigor by developing a research methodology utilizing endpoints that are well-defined and reliably measure pain in piglets. The resulting methodology will facilitate and guide the evaluation of the effectiveness of comprehensive analgesic interventions for 3- to 5-day-old piglets following surgical castration.
Research on Real-time Access Sensor Networks

To guarantee Real-time communication in sensor networks, request and locating Guaranteed Time Slot (GTS) of IEEE 802.15. 4 were researched. Petri net model about GTS request and locating were put forward. After simulation, it shows, in star sensor networks, if GTS request is more than 7 slots at same time, response time will be not satisfied the common real time system. If there are more than 28 slots, some request will be lost.
Study of periodic fouling prediction method based on fuzzy neural network

For batch heat exchangers, washing and CIP (cleaning in place) processes cause periodic fouling and other undesirable changes. A novel FNN-based prediction method was developed for periodic fouling measurements. Reversible fouling and irreversible fouling comprise periodical fouling. Two MISO (multi input single output) four-layer fuzzy neural networks were trained to learn the short-term reversible fouling growth trend and long-term irreversible fouling growth trend. The combination of two network outputs provides the prediction for overall fouling. The results of experiments show that the method, compared to the experimental formula, has better performance in prediction wort evaporator fouling. Using the predicted fouling values, a compensation factor for time-varying gain was applied successfully in the evaporation intensity control system.
Research on liquid flow behavior in deformed microfluidic channels made of PDMS material

In order to improve the application performances of current microfluidic systems, the liquid flow behavior in deformed microfluidic channels made of PDMS material is deeply researched in this study. During the flowing process, liquid pressure features in inelastic and elastic channels are tested and compared respectively, serious channel deformation in elastic PDMS channels is found, and the key influencing factors are summarized and provided, including channel aspect ratio α, top membrane thickness th and channel width w, etc. This study reveals the liquid flow behavior in microfluidic systems made of PDMS material, and provides theoretical and experimental basis for further structural optimization of the systems.
Advanced three-dimensional graphene-based piezoresistive sensors in wearable devices

The piezoresistive pressure sensor made with a three-dimensional (3D) structure as the core material is considered a potential precision sensor for wearable devices because of its unique advantages of simple preparation principle, low power consumption, stable performance and high signal acquisition efficiency. It has attracted the attention of many scientific researchers who are committed to realizing the high intelligence and informatization of personal devices. After the rapid development in the 21st century, this technology has made many breakthroughs and showed strong application potential in high-tech fields such as human motion detection, health monitoring and electronic skin. However, this technology is still a long way from full commercial mass production. This paper introduces the unique advantages of the 3D graphene-based piezoresistive sensor in intelligent wearable devices, summarizes several production methods and applications of this 3D graphene-based piezoresistive sensor, explores the future development trend and application prospect of this technology, and discusses the challenges and prospects of piezoresistive pressure sensor based on three-dimensional graphene.
Biometric Identification based on the Multidimensional Transient Functions of the Human Oculo-Motor System

Recently, identification systems that use human biometric characteristics in solving the problem of access to information systems are becoming more common. The paper proposes a new method of biometric identification of users of computer systems based on the definition of integral Volterra models of the human oculomotor system (OMS) according to experimental research “input-output” using innovative technology of eye tracking. Developed in the Python IDLE programming environment software to identify OMS. Experimental studies of the OMS of two individuals were performed. Based on the data obtained using the TOBII PRO TX300 eye tracker, the transient functions of the first, second and third orders of the OMS are determined. There is a significant difference in the diagonal intersections of the transition functions of the second and third orders of the two individuals.
Feasibility of neutral particle analysis for fast-ion measurements at W7-X

A preliminary study investigating capabilities of a planned but not yet installed neutral particle analyzer (NPA) [1,2] system combined with a diagnostic neutral beam at Wendelstein 7-X (W7-X) [3] is presented. Additionally two NPAs viewing the neutral beam injection (NBI) [4] source 8 beam and using it as neutral source are studied. The main focus is laid on what information about NBI fast-ion slowing down distributions can be inferred from active NPA measurements when altering the magnetic configuration, plasma β, density, electron temperature or radial electric field. For an order of magnitude estimation of the passive signal a model for penetration of neutral hydrogen recycling from the first wall is implemented. For the active signal a diagnostic neutral beam injector was simulated using FIDASIM [5]. The fast-ion slowing down distributions were calculated with ASCOT [6]. The synthetic NPA signal is found in general to be sensitive to changes in the fast-ion distribution function. Distinct features can be seen in the high energy active signal in the high-mirror configuration when changing β, especially, when looking at deeply trapped fast particles. However, for the initially planned installation geometry of the NPA diagnostic most fast-ion distributions exhibit only small differences in the magnitude and especially shape. In a high density case in the standard magnetic configuration with a central β of 8%, the fast-ion density in the core region is too low to provide a measurable flux of charge exchanged neutrals. The passive signal from the inner plasma regions is found to be negligible compared to the active signal.
Layered transition metal chalcogenophosphate towards air-stable visible light photodetection

Two-dimensional (2D) multiple-element layered transition metal chalcogenophosphates (TMCPs) have received tremendous attention due to their excellent carrier mobility, and absorption coefficient, displaying great potential for optoelectronic applications. Here, the novel high-quality manganese nickel phosphorous sulfur (Mn0.24Ni0.76PS3) crystals are obtained by using chemical vapor transport (CVT) method. Further, thin flakes of Mn0.24Ni0. 76PS3 are achieved and employed to prepare photodetectors. Impressively, the prepared photodetectors exhibit excellent photo-response in visible light region, such as on/off ratio, and response time, a responsivity up to 10.4 mA W−1 and a detectivity of 1.31 × 108 Jones, demonstrating great potential for future air-stable visible light photodetection.
Sparrow

Abstract:Accompany Jill McCorkle, Allen Gee, Georgi Markov, Owen King, and others as they grapple with the disappearance of body, culture, and neighbors. Visit Guatemala to witness the evolution of a past life. Meet a Bulgarian radio voice killed for telling ordinary stories. Face boisterous sideline characters and sullen internet personalities. Grapple with dinner party discussions and take a trip to Disney World.Since 1971, Ploughshares has discovered and cultivated the freshest voices in contemporary American literature, and remains prescient in the digital age by providing readers with thoughtful and entertaining literature in a variety of formats. Find out why the New York Times named Ploughshares “the Triton among minnows. ”
Non-communicable diseases (NCDs) and vulnerability to COVID-19: The case of adult patients with hypertension or diabetes mellitus in Gamo, Gofa, and South Omo zones in Southern Ethiopia

Background A growing body of evidence demonstrating that individuals with Non-Communicable Disease (NCD) are more likely to have severe forms of COVID-19 and subsequent mortality. Hence, our study aimed to assess the knowledge of vulnerability and preventive practices towards COVID-19 among patients with hypertension or diabetes in Southern Ethiopia. Objective To assess the knowledge and preventive practices towards COVID-19 among patients with hypertension or diabetes mellitus in three zones of Southern Ethiopia, 2020. Methods A community-based cross-sectional study design was used with a multi-stage random sampling technique to select 682 patients with hypertension or diabetes mellitus from 10th -17th July 2020 at the three zones of Southern Ethiopia. Logistic regression analysis with a 95% confidence interval was fitted to identify independent predictors of knowledge and preventive practices towards COVID-19. The adjusted odds ratio (AOR) was used to determine the magnitude of the association between the outcome and independent variables. P-value <0.05 is considered statistically significant. Results The Multi-dimensional knowledge (MDK) analysis of COVID-19 revealed that 63% of study subjects had good knowledge about COVID-19. The overall preventive practice towards COVID -19 was 26.4%. Monthly income (AOR = 1.42; 95% CI: 1.04, 1.94) significantly predicted knowledge towards COVID-19. Ninety-five percent of the study subjects knew that the COVID-19 virus spreads via respiratory droplets of infected individuals. One hundred and ten (16.2%) of study subjects correctly responded to the questions that state whether people with the COVID-19 virus who do not have a fever can infect the other. Knowledge about COVID-19 (AOR = 1.47; 95% CI: 1.03, 2.1) became the independent predictor of preventive practice. Conclusions In this study, the knowledge of the respondents towards the COVID-19 pandemic was good. But the preventive practice was very low. There was a significant gap between knowledge and preventive practices towards the COVID-19 pandemic among the study subjects. Monthly income was significantly associated with knowledge of COVID-19. Knowledge of COVID-19 was found to be an independent predictor of preventive practice towards COVID-19. Community mobilization and improving COVID-19- related knowledge and practice are urgently recommended for those patients with hypertension or diabetes mellitus.
Wound Myiasis in Diabetic Foot Ulcer: Calliphoridae and Sarcophagidae Family

Background: Myiasis is a parasitic infestation of tissues or body cavities of mammals with dipterous larvae. The patients with diabetic foot ulcers are more vulnerable to acquiring infestation; however, the infestation may be neglected and mistreated in some cases. Methods: Data were collected of twelve myiasis cases with diabetic foot ulcers in Nazli-Selim Eren Chronic Wound and Infections Care Unit, Aydin, Turkey between 2017 and 2019. Demographic, clinical characteristics of the patients and clinical examination of the wound were recorded. To morphology-based identification method of the agents, the developmental stages of the maggots were examined. Results: The cases aged between 46 and 81 years (10 males, two females). Eight of the larvae collected from wounds had Calliphoridae and four had Sarcophagidae family. The larvae were infested right/left foot sole, thumb, ankle, and mostly left toes. The number of larvae collected from the cases ranged from 2 to 48. Third-stage larvae (L3) were mostly detected. Mixed (L1-L2, L2-L3) larvae were detected in a patient. The infestations were more common in July and August. According to the score of Infectious Diseases Society of America (IDSA), ten (83%) cases had moderate and two (17%) cases were mild diabetic foot infections (DFIs). Conclusion: Diabetic foot ulcers should be evaluated in terms of myiasis. This was the first study in our province indicating that myiasis should not be neglected and different species of flies were responsible for myiasis cases.
Influence of health promoting lifestyle on health management intentions and behaviors among Chinese residents under the integrated healthcare system

Background Health promoting lifestyle is an important influencing factor of individual health status. This study aims to assess the health promoting lifestyle of community residents in China, and explore its association with their health management intention and behaviors during the integrated healthcare system reform. Methods A total of 666 residents were recruited from six county level hospitals and 12 community health centers from July to August 2019 in Zhejiang Province, China. Health promoting lifestyle was measured by the Chinese version Health Promoting Lifestyle Profile-II scale (HPLP-II). Results The average total score of HPLP-II among our sample was 130.02±23.19. Among the six domains, interpersonal relationship had the highest average score (2.68±0.50), and physical activity scored the lowest (2.21±0.59). Total score of HPLP-II scale was negatively associated with being male (β = -0.13, p<0.01; Ref: female), positively associated with being students (β = 0.15, p<0.01; Ref: self-employed), and positively associated with a monthly per capita income of more than 8000 RMB (β = 0.15, p<0.01; Ref: less than 3000 RMB). The domain scores of HPLP-II were significantly correlated with residents’ health management intention and their behavior on following doctors’ advice or not. Conclusions The health promoting lifestyles of community residents in China are at moderate levels. Improving residents’ healthy lifestyle levels might be helpful for changing their health management intentions or behaviors.
A hybrid neural network for driving behavior risk prediction based on distracted driving behavior data

Distracted driving behavior is one of the main factors of road accidents. Accurately predicting the risk of driving behavior is of great significance to the active safety of road transportation. The large amount of information collected by the sensors installed on the vehicle can be identified by the algorithm to obtain the distracted driving behavior data, which can be used to predict the driving behavior risk of the vehicle and the area. In this paper, a new neural network named Driving Behavior Risk Prediction Neural Network (DBRPNN) is developed for prediction based on the distracted driving behavior data. The network consists of three modules: the Feature Processing Module, the Memory Module, and the Prediction Module. In this process, attribute data (time in a day, daily driving time, and daily driving mileage) that can reflect external factors and driver statuses, are added to the network to increase the accuracy of the model. We predicted the driving behavior risk of different objects (Vehicle and Area). For the applicability improvement of the model, we further classify the distracted driving behavior categories, and DBRPNN can provide more accurate risk prediction. The results show that compared with traditional models (Classification and Regression Tree, Support Vector Machines, Recurrent Neural Network, and Long Short-Term Memory), DBRPNN has better prediction performance. The method proposed in this paper has been fully verified and may be transplanted into active safety early warning system for more accurate and flexible application.
A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets

The superiority of collaborative brain-computer interface (cBCI) in performance enhancement makes it an effective way to break through the performance bottleneck of the BCI-based dynamic visual target detection. However, the existing cBCIs focus on multi-mind information fusion with a static and unidirectional mode, lacking the information interaction and learning guidance among multiple agents. Here, we propose a novel cBCI framework to enhance the group detection performance of dynamic visual targets. Specifically, a mutual learning domain adaptation network (MLDANet) with information interaction, dynamic learning, and individual transferring abilities is developed as the core of the cBCI framework. MLDANet takes P3-sSDA network as individual network unit, introduces mutual learning strategy, and establishes a dynamic interactive learning mechanism between individual networks and collaborative decision-making at the neural decision level. The results indicate that the proposed MLDANet-cBCI framework can achieve the best group detection performance, and the mutual learning strategy can improve the detection ability of individual networks. In MLDANet-cBCI, the F1 scores of collaborative detection and individual network are 0.12 and 0.19 higher than those in the multi-classifier cBCI, respectively, when three minds collaborate. Thus, the proposed framework breaks through the traditional multi-mind collaborative mode and exhibits a superior group detection performance of dynamic visual targets, which is also of great significance for the practical application of multi-mind collaboration.
The association between therapeutic plasma exchange and the risk of mortality among patients critically ill with COVID-19: a meta-analysis

Background: Cytokine storm has been widely known to contribute to the development of the critical condition in patients with coronavirus disease 2019 (COVID-19), and studies had been conducted to assess the potential aspect of cytokine storm elimination by performing therapeutic plasma exchange (TPE). However, contradictory findings were observed. The objective of this study was to assess the association between TPE and the reduction of mortality of critically ill COVID-19 patients. Methods: A meta-analysis was conducted by collecting data from PubMed, Scopus, and Web of Science. Data on the mortality rate of critically ill COVID-19 patients treated with TPE plus standard of care and that of patients treated with standard of care alone were analyzed using a Z test. Results: We included a total of four papers assessing the association between TPE and the risk of mortality among critically ill COVID-19 patients. Our findings suggested that critically ill COVID-19 patients treated with TPE had lower risk of mortality compared to those without TPE treatment. Conclusion: Our study has identified the potential benefits of TPE in reducing the risk of mortality among critically ill COVID-19 patients.
Complete mitochondrial genome of the freshwater snail Tarebia granifera (Lamarck, 1816) (Gastropoda: Cerithioidea: Thiaridae)

Abstract The freshwater gastropod Tarebia granifera (Lamarck, 1816) is found in Taiwan, Hainan, and Guangdong provinces in China, and is one of the main intermediate hosts of trematodes that infect humans. The taxonomic positions of some cerithioidean families are still unclear, and whole mitochondrial genome studies are scarce in the Thiaridae. In this study, we describe the complete mitogenome of Tarebia granifera (Lamarck, 1816). The mitogenome is 15,555 bp in length, with a total of 37 genes, including 13 protein-coding genes, 2 rRNA genes, and 22 tRNA genes. It is consistent with the essential features of previously studied mitochondrial genomes of species belonging to the superfamily Cerithioidea. Our study demonstrates the usefulness of mitogenomic data for resolving phylogenetic relationships of families within Cerithioidea and may also contribute to the prevention and control of the parasitic diseases caused by trematodes, which use T. granifera as an intermediate host.