Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti‐NT5C1A autoantibodies for the diagnosis and study of the pathogenesis of sporadic inclusion body myositis

Sporadic inclusion body myositis (sIBM) is a chronic and progressive inflammatory myopathy that is commonest in the population aged >50 years. Asymmetric muscle weakness and wasting of the quadriceps, and finger and wrist flexor muscles are characteristic of sIBM. Histological findings for sIBM are characterized by a combination of inflammatory and myodegenerative pathologies. The pathogenesis of sIBM is not yet fully understood, and serum markers have not been identified for diagnosis of the disease or assessment of therapeutic efficacy. Recently, autoantibodies against cytosolic 5′‐nucleotidase 1A have been identified in plasma and serum samples from patients with sIBM. Various methods with clinical utility have been established to detect anti‐cN1A autoantibodies for the diagnosis of sIBM. Importantly, the autoantibodies might have direct roles in the development of the disease by causing dysfunction in proteasomal and lysosomal degradation. Future studies should be carried out to elucidate the molecular mechanisms by which the sarcoplasmic autoantigen is recognized and involved in the degeneration of myofibers. Additional research is essential to provide a better understanding of the relationship between the inflammatory and degenerative processes of sIBM.
Intelligent Control of Microgrid With Virtual Inertia Using Recurrent Probabilistic Wavelet Fuzzy Neural Network

A microgrid with virtual inertia using master–slave control is proposed in this article to overcome the drawbacks of traditional inverter-based distributed generators for lack of inertia and without grid-forming capability. The microgrid using master–slave control is composed of a storage system, a photovoltaic (PV) system and a varying resistive three-phase load. The storage system and PV system are regarded as the master unit and the slave unit, respectively, in the microgrid. Moreover, in order to improve the reactive power control in grid-connected mode and the transient response of microgrid during the switching between the grid-connected mode and islanding mode, an online trained recurrent probabilistic wavelet fuzzy neural network (RPWFNN) is proposed to replace the conventional proportional-integral (PI) controller in the storage system. Furthermore, when the microgrid is operated in islanding mode, the load variation will have serious influence on the voltage control of the microgrid. Thus, the RPWFNN control is also proposed to improve the transient and steady-state responses of voltage control in the microgrid. Finally, according to some experimental results, excellent control performance of the microgrid with virtual inertia using the proposed intelligent controller can be achieved.
The Cognitive Neuroscience Methods in the Analysis of the Impact of Advertisements in Shaping People's Health Habits*

Purpose: The aim of the article is to present the use of selected techniques of cognitive neuroscience (EEG, GSR, HR) to study the effectiveness of social advertising in the context of promoting a healthy lifestyle. The respondents' reactions (emotions, remembering, interest) to individual fragments of the advertisement will be analyzed. The results of neural and psychophysiological measurements will be compared with the survey participants' answers provided in the survey (after the study with EEG, GSR, etc.). Design/Methodology/Approach: The cognitive neuroscience methods, allow building knowledge about human and its behavior at the level of internal psychophysiological and cognitive processes before they are integrated and verbalized in the form of an opinion or judgment on a given topic. Findings: The developments of cognitive neuroscience technique have made this discipline applicable to more and more new areas of research. These possibilities are mainly the outcome of the development in techniques for measuring brain activity and their combinations with other technologies, eg biometric measurements. They allow to correlate various mental functions with physiological sensations. Practical implications: One of the applications is to study the impact of social health-promoting advertisements (healthy lifestyle, vaccinations, etc.) on recipients. A well-conducted social campaign with the proper design of an information message (advertisement) can directly transform it into shaping healthy life habits among people. Originality/Value: The research will allow the verification of the idea proposed by the researcher to promote healthy life habits among people.
Biosorption studies of mushrooms for two typical dyes

Abstract: This study investigated the adsorption behaviour of two cationic dyes, methylene blue (MB) and malachite green (MG) onto Pleurotus ostreatus, Armillaria tabescens, and Morchella conica mushrooms. The effects of contact time, initial dye concentration, and solution pH (3-11) were also determined. The adsorption on all mushrooms attained equilibrium within 120 min for both MB and MG. To evaluate the experimental kinetics data, the pseudo-first-order, pseudo-second-order, and intraparticle diffusion kinetics equations were utilised. The pseudo-first-order kinetic model demonstrated a good fit with all adsorption kinetics. The Langmuir and Freundlich isotherm models were used to analyse the mechanism of the adsorption isotherm. The adsorption equilibrium isotherm was in a good agreement with the Freundlich model. Thermodynamic parameters such as ΔH enthalpy variation, ΔS entropy variation, and ΔG free Gibbs energy variation were calculated at 303-323 K. The results suggested that the Pleurotus ostreatus mushroom was the most suitable adsorbent for both cationic dyes’ removal.
Prey Exploits the Auditory Illusions of Eavesdropping Predators

Mating signals have evolved to attract target receivers, even to the point of exploiting receivers through perceptual manipulation. Signals, however, can also expose signalers to nontarget receivers, including predators and parasites, and thus have also evolved to decrease enemy attraction. Here we show that male tree frogs (Smilisca sila) reduce their attractiveness to eavesdropping enemies (bats and midges) by overlapping their calls at near-perfect synchrony with the calls of neighboring conspecifics. By producing calls that closely follow those of other males, synchronizing S. sila take advantage of an auditory illusion where enemies are more attracted to the leading call. Female S. sila, however, are less susceptible to this illusion. Thus, synchronization among signaling males can result in acoustic crypsis from predators without affecting female attraction. Given the widespread use of conspicuous mating signals and eavesdropping enemies, perceptual exploitation of eavesdroppers is likely a common driver of signal evolution.
Graph Convolutional Networks for Privacy Metrics in Online Social Networks

In recent years, privacy leakage events in large-scale social networks have become increasingly frequent. Traditional methods relying on operators have been unable to effectively curb this problem. Researchers must turn their attention to the privacy protection of users themselves. Privacy metrics are undoubtedly the most effective method. However, social networks have a substantial number of users and a complex network structure and feature set. Previous studies either considered a single aspect or measured multiple aspects separately and then artificially integrated them. The measurement procedures are complex and cannot effectively be integrated. To solve the above problems, we first propose using a deep neural network to measure the privacy status of social network users. Through a graph convolution network, we can easily and efficiently combine the user features and graph structure, determine the hidden relationships between these features, and obtain more accurate privacy scores. Given the restriction of the deep learning framework, which requires a large number of labelled samples, we incorporate a few-shot learning method, which greatly reduces the dependence on labelled data and human intervention. Our method is applicable to online social networks, such as Sina Weibo, Twitter, and Facebook, that can extract profile information, graph structure information of users’ friends, and behavioural characteristics. The experiments show that our model can quickly and accurately obtain privacy scores in a whole network and eliminate traditional tedious numerical calculations and human intervention.
Brain reserve and cognitive reserve in multiple sclerosis: What you’ve got and how you use it

In the article “Brain reserve and cognitive reserve in multiple sclerosis: What you’ve got and how you use it” by J.F. Sumowski et al. (Neurology® 2013;80:2186–2193), there is an error in figures 1 and 2 where the lines are switched. The corrected figures are below. The editorial staff regrets the error.
An Overview on Antioxidants Activity of Polysaccharide Edible Films and Coatings Contains Essential Oils and Herb Extracts in Meat and Meat Products

According to the environmental problems that plastic packaging was made in recent decades, edible film/ coating have been drawn attention due to their beneficial properties. Alginate, chitosan, starch, CMC and etc. are of the most common edible films/coatings. On the other hand, the meat and meat products are vulnerable to oxidative reactions that reduce their quality and also lose nutrients and risk consumers health and safety. A strategy to limit this, is use of a wide range of antioxidants. Nowadays, consumers tend to use natural antioxidants due to the complication of synthetic antioxidants. Essential oil and herbal extracts are among natural compounds with high functional properties but they had undesirable effects on sensorial quality of meat and meat products in high doses. An interesting strategy to overcome this limitation is application of polysaccharide edible film/coating as carrier of these compounds. Natural antioxidants in edible films/coatings improve the film matrix and cause an increase in meat shelf-life, benefits sensorial quality and also enhance nutritional value of meat. This paper discusses the combining of natural antioxidants with polysaccharide film and coating in meat and meat products. © 2020 Lukkananukool et al.
Interactive Visual Data Analysis

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains.
Where2Change: Change Request Localization for App Reviews

Million of mobile apps have been released to the market. Developers need to maintain these apps so that they can continue to benefit end users. Developers usually extract useful information from user reviews to maintain and evolve mobile apps. One of the important activities that developers need to do while reading user reviews is to locate the source code related to requested changes. Unfortunately, this manual work is costly and time consuming since: (1) an app can receive thousands of reviews, and (2) a mobile app can consist of hundreds of source code files. To address this challenge, Palomba <italic>et al.</italic> recently proposed <monospace>CHANGEADVISOR</monospace> that utilizes user reviews to locate source code to be changed. However, we find that it cannot identify real source code to be changed for part of reviews. In this work, we aim to advance Palomba <italic>et al.</italic>'s work by proposing a novel approach that can achieve higher accuracy in change localization. Our approach first extracts the informative sentences (i.e., user feedback) from user reviews and identifies user feedback related to various problems and feature requests, and then cluster the corresponding user feedback into groups. Each group reports the similar users’ needs. Next, these groups are mapped to issue reports by using <inline-formula><tex-math notation="LaTeX">$Word2Vec$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>W</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>d</mml:mi><mml:mn>2</mml:mn><mml:mi>V</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="luo-ieq1-2956941.gif"/></alternatives></inline-formula>. The resultant enriched text consisting of user feedback and their corresponding issue reports is used to identify source code classes that should be changed by using our novel <italic>weight selection</italic>-based cosine similarity metric. We have evaluated the new proposed change request localization approach (<monospace>Where2Change</monospace>) on 31,597 user reviews and 3,272 issue reports of 10 open source mobile apps. The experiments demonstrate that <monospace>Where2Change</monospace> can successfully locate more source code classes related to the change requests for more user feedback clusters than <monospace>CHANGEADVISOR</monospace> as demonstrated by higher Top-N and Recall values. The differences reach up to 17 for Top-1, 18.1 for Top-3, 17.9 for Top-5, and 50.08 percent for Recall. In addition, we also compare the performance of <monospace>Where2Change</monospace> and two previous Information Retrieval (IR)-based fault localization technologies:<monospace>BLUiR</monospace> and <monospace>BLIA</monospace>. The results showed that our approach performs better than them. As an important part of our work, we conduct an empirical study to investigate the value of using both user reviews and historical issue reports for change request localization; the results shown that historical issue reports can help to improve the performance of change localization.
Antibiotic Therapy in Reptiles

ABSTRACT Antibiotics are the most commonly administered therapy to reptiles. A logical approach to therapy is important and this encompasses quantifying the need for therapy, followed by an appropriate choice of agent. Antibiotics need to be given at an appropriate dose, frequency and route, based on current information available. It is important to keep patients at their optimal temperature (To) to maximize the effectiveness of therapy. There are three potential methods for obtaining an appropriate dosage. Firstly, an empirical dose based on experience with perceived effectiveness can be considered. Secondly, metabolic scaling can be used to estimate a likely effective dose. Thirdly, dose rates derived from pharmacokinetic studies should be considered when treating other similar reptiles. This review reports on the pharmacokinetic data that exists for antibiotics in reptiles and the spectrum of activity for each agent. The effects of the renal portal system are also briefly discussed.
ESTUDO DE SOLUÇÕES VPN SITE-TO-SITE SEGUNDO AS TÉCNICAS CRIPTOGRÁFICAS EMPREGADAS

Currently, methods to protect information in networks have become essential for applications that target sensitive data traffic. For this, Virtual Private Networks (VPNs) play a key role in securing attributes such as confidentiality, authenticity, and integrity of the data packets that are submitted to the worldwide network. This paper presents a study of some characteristics of 3 opensource VPN softwares ( StrongSwan , OpenVPN and Wireguard) in order to make a fair comparison between the cryptographic techniques employed by them in site-to-site tunnels
A simulation-based medical planning system for occlusive cardiovascular disease using one-dimensional analysis techniques

Cardiovascular disease is a leading cause of death in developed countries. Advances in cardiovascular imaging provide surgeons with additional tools to examine cardiovascular anatomy and physiology. This data is put aside as the treatment plan is sketched using paper and pencil. The surgeon considers the patient's medical condition and anticipated benefits based on the outcomes of previous patients with similar conditions. While this diagnostic/empirical approach provides insight into patient outcome, it does not enable the a priori prediction of outcomes of alternate interventions for a patient. A simulation-based medical planning system for cardiovascular disease uses computational methods to evaluate several options prior to treatment. This thesis presents the development of a simulation-based planning system for vascular surgery. An internet-based prototype system is used to demonstrate the concept to a panel of vascular surgeons. The three-dimensional analyses used to evaluate the mock clinical case provide detailed descriptions of local flow features (recirculation, shear stresses, particle residence time) but are resource and time intensive. These flow simulations are not suitable for rapid evaluation of alternate surgical options. One-dimensional analyses are found to provide flow and pressure distributions capable of providing information to rank alternate procedure outcomes. A working system facilitates the construction and analysis of clinically relevant models using a one-dimensional space-time finite element formulation. This approximation neglects secondary flows. This is addressed by including viscous losses based on empirical models in regions where secondary flows are anticipated. Analysis results compare favorably to in vivo measurements in porcine models. The system implements several types of boundary conditions, including a physiologically based impedance boundary condition that can model changes in tone of resistance vessels during exercise. This boundary condition is evaluated by comparing analysis results to in vivo, non-invasive studies of normal human subjects during rest and exercise. Uniform exercise scaling factors provided favorable flow comparisons for all subjects. The completed system is used to predict flow distribution following surgical repair for a patient case. The system is used to predict overall changes in flow and pressure distribution following surgery based on pre-operative information and to evaluate the ability to predict claudication relief.
Changes in heart rate and skin conductance provoked by emotional arousal during initial and secondary exposure to stimuli

Human emotion is a complex, conscious experience that produces involuntary changes in our physiology. This biological response to emotional arousal can be detected by monitoring changes in heart rate and skin conductance. Heart rate variability and skin conductance are expected to increase during emotional arousal. 11 respondents, aged 20-23, were shown seven video stimuli. As they watched the videos, their heart rate and skin conductance were monitored using Shimmer3 kit biosensors to quantify emotional arousal. The data was saved to the iMotions biometric research platform. The respondents returned 12-16 days after the initial exposure to re-watch the video stimuli. Their heart rate and skin conductance were recorded again at this time. There was a lot of variation in the physiological responses across viewings for all respondents, meaning there was a change in emotional arousal from the first to the second time they were exposed to the stimuli. Monitoring emotional arousal potentially holds value in police services; particularly in suspect, victim, and eye-witness interviews. Expanding on this research may reveal the significance emotional arousal has on criminal behaviour.
Prevalance of H63D and C282Y Mutation and Its Association with Iron Overload in Thalassemia Patients in an Eastern Indian Population

Aims: Iron overload in beta thalassemia is linked to different mutations in diverse population ratio test. Any potential link between the polymorphic variations and iron deposition were assessed by post hoc ANOVA of serum ferritin levels among the three genotypes. Results: For C282Y polymorphism, all 210 cases were homozygote for the G allele. For H63D mutation, 16, 186 and 8 cases were heterozygotes ( CG ), homozygotes ( CC ) and of mutant variant ( GG ) respectively, the difference being insignificant between the case and control group ( χ 2 = 1.44, P = .486). Allelic difference of G and C between the two groups were also insignificant ( χ 2 = 0.09, P = .76; OR range of 0.72 to 1.98 at 95% CI). Post hoc ANOVA showed significant difference in the serum ferritin values between the GG and CC genotype and GC and CC genotype ( P =.001) in the case group. Conclusions: Our study population was not at risk for iron deposition from the C282Y mutation. However, 92 percent of cases showed wild CC alleles for the H63D mutation that showed significantly higher amount of iron deposition. We suggest that this mutation has a higher penetrance in our study population suffering from beta thalassemia.
Long-Term Use of Cardiovascular Medications: Identifying and Encouraging Optimal Duration

In the face of increasingly widespread availability and uptake of medications to treat and prevent cardiovascular disease, this dissertation is motivated by two broad research questions regarding the duration of cardiovascular therapy. First: how long should patients continue therapy when there are risks and benefits that may change over time? Second: how can continuation be encouraged when therapies are known to be safe and effective? In Aim 1, we compared exposure definitions of antiplatelet discontinuation versus continuation at 12 months after a drug-eluting coronary stent and associations with ischemic and bleeding events. We found that increasing restrictions on the definition of therapy continuation yielded results consistent with those from the Dual Antiplatelet Therapy trial, in particular through greater compliance with assigned exposure status during follow-up. Our results also suggest the potential for residual confounding by unmeasured characteristics, which for ischemic events may exaggerate effects of continuation, while for bleeding events may attenuate such effects, particularly if providers are monitoring and appropriately discontinuing therapy among patients at higher risk of bleeding. In Aim 2, we compared the long-term effectiveness and safety of prasugrel and clopidogrel. Among patients with acute coronary syndrome at the time of the coronary stent procedure, prasugrel use suggested ischemic benefit without increased risk of bleeding. In contrast, in patients with stable ischemic heart disease only, prasugrel use was not associated with ischemic benefit but was associated with increased risk of bleeding. For both groups, ischemic endpoint results are
Optimización de Scaled Conjugate Gradient para Froog Neural Networks

Resumen El Scaled Conjugate Gradient es un algoritmo de aprendizaje iterativo para redes neuronales artiﬁciales, destac´andose por su velocidad de convergencia frente al Backpropagation. Esto se debe a que utiliza derivadas de segundo orden, lo que permite una convergencia m´as veloz. En este art´ıculo, se demuestra lo expuesto por M¨oller en su trabajo original, respecto a que una adecuada implementaci´on del Scaled Conjugate Gradient puede reducir en un 50 % el tiempo de ejecuci´on. La implementaci´on fue realizada en la herramienta gratuita ”Froog Neural Networks”de redes neuronales y probada en 4 base de datos est´andar, con diferentes cantidades de neuronas para probar la efectividad de los cambios realizados.