Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Perch Essence Supplementation on Improving Exercise Performance and Anti-Fatigue in Mice

Silver perch (Bidyanus bidyanus) has many nutrition and health benefits, being a rich source of macro and micronutrients, phospholipids, polyunsaturated fatty acids, and a variety of essential minerals while having a high protein content. In addition to direct consumption, it is often made into a soup as an important nutritional supplement for strengthening the body and delaying fatigue. By extracting the essence, its quality can be controlled, and it is convenient to supplement. This study aimed to evaluate the effect of supplementation with Santé premium silver perch essence (SPSPE) on improving exercise performance and anti-fatigue. Fifty male institute of cancer research (ICR) mice were divided into five groups (n = 10/group): (1) vehicle (vehicle control or water only), (2) isocaloric (0.93 g casein/kg/mice/day), (3) SPSPE-1X (0.99 g/kg/mice/day), (4) SPSPE-2X (1.98 g/kg/mice/day), and (5) SPSPE-5X (4.95 g/kg/mice/day). A sample or an equal volume of liquid was fed orally for four consecutive weeks. Grip strength and swimming exhaustion tests were used as exercise performance assessments. After 10 and 90 min of unloaded swimming, biochemical parameters of fatigue were evaluated. We found that supplementation with SPSPE for four consecutive weeks could significantly improve mice’s grip strength, exercise endurance performance, and glycogen content (p < 0.05), and significantly reduced post-exercise fatigue biochemical parameters, such as lactate, blood ammonia (NH3), blood urea nitrogen (BUN) concentration, and muscle damage index creatine kinase (CK) activity (p < 0.05). In summary, supplementation with SPSPE for 4 weeks could effectively improve exercise performance, reduce sports fatigue, and accelerate fatigue recovery. In addition, it did not cause any physiological or histopathological damage.
Development Progress and Applications of Cognitive Radio

The effective usage of spectrum is an important problem and also the bottleneck in wireless communications.Cognitive radio(CR) technology further expands the functions of software defined radio(SDR) and has become an effective method to cope with insufficient spectrum resource.In view of its important role of CR in wireless communications,the concept of CR is introduced,the characters are summarized,the relations between traditional radio,SDR and CR are analyzed,the civil and military applications of CR are listed,related key technologies are discussed,and finally the significance for studying CR technology is pointed out.
The emotion concept of SHAME as one of the markers of social infantilism: Cross-cultural analysis based on language corpora data

The article presents a cross-cultural analysis of those ethnocultural features of the emotion concept of SHAME in Ukrainian, Anglo-Saxon and German linguo-cultures, which directly correlate with some national characteristics of the representatives of these linguo-cultures. It deals with the role of shame in the generation of such a social phenomenon as infantilism, since the significant spread of this phenomenon in a particular linguo-society is the basis for determining infantilism as one of the features of the national character. A comparative study of the representative corpora data of Ukrainian, English and German has revealed that Ukrainians, although a European linguo-society, belong not to guilt culture, as the Anglo-Saxons and Germans, but to shame culture, because this emotion arises in them mostly in in-groups, transforming into shame, humiliation, pangs of conscience, but not guilt. This feature of Ukrainians’ psychological type brings them closer to Eastern cultures, correlating to the greatest extent with such a criterion of cultures distinctions as collectivism–individualism. The low rate of individualism in the Ukrainian linguo-society has led to the fact that Ukrainians tend to be less responsible for their actions than Anglo-Saxons or Germans, often shifting their responsibility to external factors. The unwillingness of a large number of individuals to take responsibility indicates a certain immaturity of the society as a whole. This gives grounds to claim that the concept СОРОМ is one of the markers of social infantilism of the Ukrainian people.
AI-based graptolite identification improves shale gas exploration

Graptolites are fossils from the mid-Cambrian to lower Carboniferous periods that inform both our understanding of evolution and the exploration of shale gas [1–4]. The identification of graptolite species remains a visual task carried out by experienced taxonomists because their fine-grained morphologies and incomplete preservation in multi-fossil samples have hindered automation. Artificial intelligence (AI) holds great promise for transforming such meticulous tasks, and has already proven useful in applications ranging from animal classification to medical diagnostics [5–15]. Here we demonstrate that graptolites can be identified with taxonomist accuracy using a deep learning model [16–18]. We develop a convolutional neural network to classify macrofossils, and construct a comprehensive dataset of >34,000 images of 113 graptolite species annotated at pixel-level resolution to train the model. We validate the model’s performance by comparing its ability to identify 100 images of graptolite species that are significant for rock dating and shale gas exploration with 21 experienced taxonomists from research institutes and the shale gas industry. Our model achieves 86% and 81% accuracy when identifying the genus and species of graptolites, respectively; outperforming taxonomists in terms of accuracy, time, and generalization. By investigating the decisions made by the neural network, we further show that it can recognise fine-grained morphological details better than taxonomists. Our AI approach, providing taxonomist-level graptolite identification, can be deployed on web and mobile apps to extend graptolite identification beyond research institutes and improve the efficiency of shale gas exploration.
Acid-Sensing Ion Channels in Glial Cells

Acid-sensing ion channels (ASICs) are proton-gated cation channels and key mediators of responses to neuronal injury. ASICs exhibit unique patterns of distribution in the brain, with high expression in neurons and low expression in glial cells. While there has been a lot of focus on ASIC in neurons, less is known about the roles of ASICs in glial cells. ASIC1a is expressed in astrocytes and might contribute to synaptic transmission and long-term potentiation. In oligodendrocytes, constitutive activation of ASIC1a participates in demyelinating diseases. ASIC1a, ASIC2a, and ASIC3, found in microglial cells, could mediate the inflammatory response. Under pathological conditions, ASIC dysregulation in glial cells can contribute to disease states. For example, activation of astrocytic ASIC1a may worsen neurodegeneration and glioma staging, activation of microglial ASIC1a and ASIC2a may perpetuate ischemia and inflammation, while oligodendrocytic ASIC1a might be involved in multiple sclerosis. This review concentrates on the unique ASIC components in each of the glial cells and integrates these glial-specific ASICs with their physiological and pathological conditions. Such knowledge provides promising evidence for targeting of ASICs in individual glial cells as a therapeutic strategy for a diverse range of conditions.
Cutinase-Catalyzed Polyester-Polyurethane Degradation: Elucidation of the Hydrolysis Mechanism

Polyurethanes (PU) are one of the most-used classes of synthetic polymers in Europe, having a considerable impact on the plastic waste management in the European Union. Therefore, they represent a major challenge for the recycling industry, which requires environmentally friendly strategies to be able to re-utilize their monomers without applying hazardous and polluting substances in the process. In this work, enzymatic hydrolysis of a polyurethane-polyester (PU-PE) copolymer using Humicola insolens cutinase (HiC) has been investigated in order to achieve decomposition at milder conditions and avoiding harsh chemicals. PU-PE films have been incubated with the enzyme at 50 °C for 168 h, and hydrolysis has been followed throughout the incubation. HiC effectively hydrolysed the polymer, reducing the number average molecular weight (Mn) and the weight average molecular weight (Mw) by 84% and 42%, respectively, as shown by gel permeation chromatography (GPC), while scanning electron microscopy showed cracks at the surface of the PU-PE films as a result of enzymatic surface erosion. Furthermore, Fourier Transform Infrared (FTIR) analysis showed a reduction in the peaks at 1725 cm−1, 1164 cm−1 and 1139 cm−1, indicating that the enzyme preferentially hydrolysed ester bonds, as also supported by the nuclear magnetic resonance spectroscopy (NMR) results. Liquid chromatography time-of-flight/mass spectrometry (LC-MS-Tof) analysis revealed the presence in the incubation supernatant of all of the monomeric constituents of the polymer, thus suggesting that the enzyme was able to hydrolyse both the ester and the urethane bonds of the polymer.
Detecting the Causal Nexus between Particulate Matter (PM10) and Rainfall in the Caribbean Area

In this study, we investigate the interactions between particulate matter that have an aerodynamic diameter less than 10 μm diameter (PM10) and rainfall (RR) in entropy framework. Our results showed there is a bidirectional causality between PM10 concentrations and RR values. This means that PM10 concentrations influence RR values while RR induces the wet scavenging process. Rainfall seasonality has a significant impact on the wet scavenging process while African dust seasonality strongly influence RR behavior. Indeed, the wet scavenging process is 5 times higher during the wet season while PM10 impact on RR is 2.5 times higher during the first part of the high dust season. These results revealed two types of causality: a direct causality (RR to PM10) and an indirect causality (PM10 to RR). All these elements showed that entropy is an efficient way to quantify the behavior of atmospheric processes using ground-based measurements.
From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education

This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers’ perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of online translators in the foreign language classroom. The first part of the articles will define the concept of disruption and use the pocket calculator as an historical example to illustrate challenges and solutions for an educational setting that was fundamentally impacted by a new technology. The second part will turn to the present and focus on the impact of online translators not only on ways humans communicate across languages in authentic real-world settings, but also on the foreign langauge classroom. In the third part, we will argue that a careful recalibration of educational objectives that will have to include the students’ ability to engage effectively in tasks that rely on human-machine collaboration will provide an opportunity to integrate online translators and related technologies into foreign language curricula. To this end, we propose that future generations of language learners need to develop specific competencies that will qualify them to effectively collaborate with online translators and related technologies. The conclusion will outline future leadership priorities for professional organizations and teacher training programs while acknowledging the limitations associated with the integration of the machine translation technologies into language learning environments.
Interpolymer Complexes of Poly(methacryloyloxyethyl phosphorylcholine) and Polyacids

It has been shown that macromolecules of poly(methacryloyloxyethyl phosphorylcholine) can form hydrogen bonded interpolymer complexes with homo- and copolymers of carboxylic acids and with poly(vinylphosphonic) acid in aqueous solutions. Polarized luminescence and IR spectroscopy were applied in the investigation. Nanosecond relaxation times characterizing the mobility of the chain fragments for the initial luminescent labeled polymers were determined and their changes by a factor of 2–50 were established during the formation of an interpolymer complex. Hydrogen bonds play a dominant role in the formation of these complexes. Hydrophobic interactions serve as an additional stabilizing factor. It is established that poly(methacryloyloxyethyl phosphorylcholine)/poly(vinylphosphonic acid) complex forms a looser structure in comparison with those for polycarboxylic acids as result of electrostatic repulsion between charged groups.
Based on the Analysis of Flame Virus Attack on China Information Security Considerations

The end of May 2012 in the Middle East appears Flame virus, known as the largest and by far the most complex virus attacks, worldwide had a tremendous impact. This article describes the flame virus attack methods to analyze the characteristics of the virus, and based on the analysis of the virus on the flame to make some work on our information security thinking.
Attitude of Undergraduate Students towards Gamification: A Case Study of Northwest Geo-Political Zone, Nigeria

Gamification of education is new field in education that is attracting researchers who are passionate on education. However, no much researches were made to assess the users’ perception on its application in enhancing students understanding of certain subjects such as Environmental Education. This article is aimed at assessing the students’ attitude on the application of eeGamification in environmental education. The method employed was survey method. A structured questionnaire was used and a total of 372 respondents were used in the study. The survey employed descriptive statistics analysis to measure the level of students’ attitude towards eeGamification. The result indicates that students have positive attitude towards gamification. This shows that students accept the idea of gamification in improving students’ understanding of Environmental Education.
The Role of Digital Tools in the Timely Diagnosis and Prevention of Acute Exacerbations of COPD: A Comprehensive Review of the Literature

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory disease of the airways and lung parenchyma with multiple systemic manifestations. Exacerbations of COPD are important events during the course of the disease, as they are associated with increased mortality, severe impairment of health-related quality of life, accelerated decline in lung function, significant reduction in physical activity, and substantial economic burden. Telemedicine is the use of communication technologies to transmit medical data over short or long distances and to deliver healthcare services. The need to limit in-person appointments during the COVID-19 pandemic has caused a rapid increase in telemedicine services. In the present review of the literature covering published randomized controlled trials reporting results regarding the use of digital tools in acute exacerbations of COPD, we attempt to clarify the effectiveness of telemedicine for identifying, preventing, and reducing COPD exacerbations and improving other clinically relevant outcomes, while describing in detail the specific telemedicine interventions used.
Inhibition of TGFb-induced Fibroblast to Myofibroblast Transition by Conditioned Medium from Human Rhinovirus-infected Airway Epithelial Cells is Mediated by Prostaglandin E2

Background: Airway remodeling, including increased deposition of extracellular matrix proteins, is a hallmark of asthma. Myofibroblasts, derived via fibroblast to myofibroblast transition (FMT), play an important role in this increased deposition of matrix proteins. Expression of transforming growth factor b1 (TGFb1) is increased in asthmatic airways and is known to induce FMT, as assessed by increased expression of a-smooth muscle actin (a-SMA). Because human rhinovirus (HRV) infections of airway epithelial cells have been linked to the generation of mediators involved in airway remodeling, we tested the hypothesis that conditioned medium from HRV-infected human airway epithelial cells from healthy normal subjects would enhance FMT, either alone or in combination with TGFb1. Methods: FMT was assessed by measuring a-SMA expression in human airway fibroblasts, both by western blotting and by immunohistochemistry. Statistical analysis was performed using ANOVA and Holm-Sidak or Bonferonni post hoc tests. Results: Our data showed that conditioned medium from HRV infected epithelial cells significantly inhibited TGFb1-induced expression of a-SMA in fibroblasts when compared to conditioned medium from uninfected epithelial cells. Treatment of epithelial cells with the nonselective cyclooxygenase inhibitor, diclofenac, during HRV infection significantly reversed the inhibitory effects of conditioned medium on TGFb1-induced expression of a-SMA. This led us to hypothesize that HRV-infected epithelial cells release PGE2 that acts on EP receptors to suppress TGFb1-induced expression of a-SMA in fibroblasts. We confirmed that HRV-infection of airway epithelial cells upregulated PGE2 release, and that exposure of fibroblasts to PGE2 significantly inhibited TGFb1-induced expression of a-SMA in fibroblasts. Finally, studies using selective agonists and antagonists demonstrated that PGE2 inhibited TGFb1-induced expression of a-SMA in fibroblasts via effects at the EP2 receptor. Conclusions: Thus, using cells derived from healthy normal subjects we demonstrate that HRV infection of airway epithelial cells induces release of PGE2that acts on EP2 receptors on fibroblasts to suppress TGFb1-induced FMT. Additional studies are needed to determine if a different pattern of response is seen using cells from asthmatic subjects to determine if the inhibitory role of PGE2 on FMT in normal cells helps prevent airway remodeling in normal subjects.
Volatile Constituents of Leaves of Trifolium alexandrinum

This study presents the volatile constituents from leaves of Trifolium alexandrinum from Pakistan. The dried leaves were subjected to hydrodistillation for extraction and extracted volatile oil was subsequently characterized by gas chromatography-mass spectrometry technique. A total of 22 compounds were identified where the most dominant constituents were: phytol (46.00%), palmitic acid (9.26%), phytol acetate (6.44%), and linolenic acid (3.47%). Most of these are well-known constituents to exhibit antibacterial, antioxidant, antitumor, and anti-inflammatory activities.
Prediction for Mitosis-Karyorrhexis Index Status of Pediatric Neuroblastoma via Machine Learning Based 18F-FDG PET/CT Radiomics

Accurate differentiation of intermediate/high mitosis-karyorrhexis index (MKI) from low MKI is vital for the further management of neuroblastoma. The purpose of this research was to investigate the efficacy of 18F-FDG PET/CT–based radiomics features for the prediction of MKI status of pediatric neuroblastoma via machine learning. A total of 102 pediatric neuroblastoma patients were retrospectively enrolled and divided into training (68 patients) and validation sets (34 patients) in a 2:1 ratio. Clinical characteristics and radiomics features were extracted by XGBoost algorithm and were used to establish radiomics and clinical models for MKI status prediction. A combined model was developed, encompassing clinical characteristics and radiomics features and presented as a radiomics nomogram. The predictive performance of the models was evaluated by AUC and decision curve analysis. The radiomics model yielded AUC of 0.982 (95% CI: 0.916, 0.999) and 0.955 (95% CI: 0.823, 0.997) in the training and validation sets, respectively. The clinical model yielded AUC of 0.746 and 0.670 in the training and validation sets, respectively. The combined model demonstrated AUC of 0.988 (95% CI: 0.924, 1.000) and 0.951 (95% CI: 0.818, 0.996) in the training and validation sets, respectively. The radiomics features could non-invasively predict MKI status of pediatric neuroblastoma with high accuracy.
Design and flight test of active flutter suppression on the X-56A multi-utility technology test-bed aircraft

ABSTRACT Efforts to develop the next generation of aircraft with ever-increasing levels of performance – higher, farther, faster, cheaper – face great technical challenges. One of these technical challenges is to reduce structural weight of the aircraft. Another is to look to aircraft configurations that have been unrealizable to date. Both of these paths can lead to a rigid flex coupling phenomenon that can result in anything from poor flying qualities to the loss of an aircraft due to flutter. This has led to a need to develop an integrated flight and aeroelastic control capability where structural dynamics are included in the synthesis of flight control laws. Studies have indicated that the application of an integrated flight and aeroelastic control approach to a SensorCraft high-altitude long-endurance vehicle would provide substantial performance improvement(1,2). Better flying qualities and an expanded flight envelope through multi-flutter mode control are two areas of improvement afforded by integrated flight and aeroelastic control. By itself, multi-flutter mode control transforms the flutter barrier from a point of catastrophic structural failure to a benign region of flight. This paper discusses the history and issues associated with the development of such an integrated flight and aeroelastic control system for the X-56A aircraft.
Nonlinear model predictive control for improving range-based relative localization by maximizing observability

Wireless ranging measurements have been proposed for enabling multiple Micro Air Vehicles (MAVs) to localize with respect to each other. However, the high-dimensional relative states are weakly observable due to the scalar distance measurement. Hence, the MAVs have degraded relative localization and control performance under unobservable conditions as can be deduced by the Lie derivatives. This paper presents a nonlinear model predictive control (NMPC) by maximizing the determinant of the observability matrix to generate optimal control inputs, which also satisfy constraints including multi-robot tasks, input limitation, and state bounds. Simulation results validate the localization and control efficacy of the proposed MPC method for range-based multi-MAV systems with weak observability, which has faster convergence time and more accurate localization compared to previously proposed random motions. A real-world experiment on two Crazyflies indicates the optimal states and control behaviours generated by the proposed NMPC.
Participants' Levels of understanding before and after attending the zoom fatigue during COVID-19 Pandemic Webinar

COVID-19 pandemic has become a serious threat to all sectors in the world, contributing in several changes in working approaches as well as human interaction. Since more people have to work from home, video conferencing platforms are becoming more popular. The use of this platform is physically and mentally exhausting; zoom fatigue is a well-known. It turns out that using this platform is more mentally exhausting than conventional face-to-face communication. As a result, we put up a web course in the form of a webinar titled "Improving Mental Health: Overcoming Zoom Fatigue. " We conducted research using the cross-sectional study method with primary data on the results of the pre-test and post-test of the webinar. As a result of this research, we have received a large number of people who participated in the webinar, with 92.1% of them being women, age group 18-25 years by 57.5%, and pre-test = post-test based on three grouping scores, amounting to 57.2% with an increase in knowledge significant (p<0.001).