Miracle-dz/UniFAR-FTUs huggingface dataset:
Pathogenic Mechanisms of Acute Obstructive Pyelonephritis

Among urological diseases, the most relevant is infection of the urinary tract. Pyelonephritis is on the 5th place in kidney diseases, and obstructive pyelonephritis occurs in 84% of all pyelonephritis. In the world, among the adult population, 100 people per 100,000 of the population suffer from pyelonephritis. In addition, from year to year, there is an increase in purulent forms of acute pyelonephritis by 4–5 times. This pathology is a separated manifestation of such an important urological problem as complicated urinary tract infection, which accounts for 84–86% of all infections. In acute obstructive pyelonephritis, more severe complications such as bacteriotoxic shock and urosepsis may develop. The mortality rate from these dangerous complications reaches 70–90%. In addition, the number of patients with urosepsis and bacteriotoxic shock has increased 4–6 times in recent years. The review presents current literature data on acute obstructive pyelonephritis. The main causes and pathogenetic mechanisms of the disease development are presented. Edited by: Eli Djulejic Citation: Sharapatov Y, Turgunov Y, Lavrinenko A. Pathogenic Mechanisms of Acute Obstructive Pyelonephritis. Open Access Maced J Med Sci. 2021 Apr 11; 9(F):124-128. https://doi.org/10.3889/oamjms.2021. 5876
Effectiveness of Acceptance and Commitment Therapy on Resilience, Psychological Well-Being, and Life Expectancy in Asthmatic Patients

Introduction: Psychosomatic experts have tried to associate mental disorders to physical illnesses. The vulnerability of different parts of the body is thought to depend on fundamental differences between individuals. One of the methods that seems to affect the psychological problems of asthma patients is acceptance and commitment therapy. Therefore, the aim of this study was to evaluate the effectiveness of acceptance- and commitment-based therapy on resilience, psychological well-being, and life expectancy in asthmatic patients. Methods: This quasi-experimental pre-test and post-test study was conducted on 30 asthmatic patients who were randomly assigned to the experimental (n = 15) and control (n = 15) groups according to the inclusion criteria. Acceptance and commitment therapy sessions were based on the treatment package of Hayes et al. in 8 sessions of 60 minutes on the experimental group and no intervention was performed on the control group. All participants took part in the pre-test and post-test. Collection tools included Conner-Davidson Resilience Questionnaire, Schneider Life expectancy, and Ryf Psychological Well-being. Results: The results showed a significant difference in the components of resilience, psychological well-being, and life expectancy in asthmatic patients before and after the experiment (p <0.05). In other words, acceptance and commitment-based therapy had a positive effect on resilience, psychological well-being and life expectancy in asthmatic patients and these components have increased in patients. Conclusion: Findings showed that acceptance- and commitment-based therapy was effective on resilience, psychological well-being, and life expectancy of asthmatic patients. This treatment is suggested to be used in conjunction with drug therapy to improve the psychological symptoms of asthmatic patients.
Snake-venom phospholipase A2 neurotoxins. Potentiation of a single-chain neurotoxin by the chaperon subunit of a two-component neurotoxin.

The venoms from Crotalinae and Viperinae snakes contain only two kinds of phospholipase A2 neurotoxins (beta-neurotoxins): single-chain beta-neurotoxins, such as agkistrodotoxin and ammodytoxin-A, and dimeric beta-neurotoxins, which, in the case of the best studied ones, crotoxin-like toxins, consist of the non-covalent association of a phospholipase A2 (CB) and a non-enzymatic chaperon (CA). Possible evolutionary relationships of these beta-neurotoxins have been investigated by analyzing whether CA could behave as a chaperon toward agkistrodotoxin and ammodytoxin, as it does in the crotoxin complex. CA increased the lethal potency of agkistrodotoxin and modified its pharmacological effect on Torpedo synaptosomes. Sedimentation experiments proved that CA can form an heterocomplex with agkistrodotoxin. Agkistrodotoxin prevented the binding to CA of an anti-CA mAb which recognizes an epitope at the zone of interaction between crotoxin subunits, suggesting the association of CA and agkistrodotoxin implicated the same zone. A 10-fold molar excess of CA over ammodytoxin modified the effect of ammodytoxin on acetylcholine release but did not increase the lethal potency of ammodytoxin. Sedimentation experiments showed CA and ammodytoxin can form an heterocomplex which is less stable than CA.agkistrodotoxin. Ammodytoxin A did not compete with the anti-CA mAb. These observations are in good agreement with the sequence similarities between CB and agkistrodotoxin (80%) and ammodytoxin A (60%).
Community security is the key to sustainable governance: Methods and functions of crime hotspot predictions

How to cite this paper: Wang, T. -C. , & Lee, B. -C. (2021). Community security is the key to sustainable governance: Methods and functions of crime hotspot predictions. Corporate Governance and Sustainability Review, 5(2), 57–72. https://doi.org/10.22495/cgsrv5i2p5 Copyright © 2021 The Authors This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). https://creativecommons.org/licens
Public acceptability of indirect potable water reuse in the south-east of England

Public controversy over planned indirect potable reuse of wastewater has been a significant obstacle to implementing proposed schemes in the United States and Australia. Surveys of public attitudes to water reuse have generally shown lower acceptance of indirect potable reuse compared with other reuse options, such as irrigation. The south-east of England is projected to experience a shortfall in water supply by 2020 and the largest water utility in the region, Thames Water, is investigating indirect potable reuse as a potential new supply option. The indirect potable reuse feasibility studies include evaluation of the technology options and water quality as well as detailed consideration of public perception issues. As part of the work to address the latter, 2,000 Thames Water customers participated in an on-line survey of their attitudes to indirect potable reuse. The survey showed overall support for the idea of indirect potable reuse. The only demographic factor to show any significant difference from the whole sample was belief system, with Muslim respondents showing significantly less support than other groups. The survey results indicate that indirect potable reuse may be socially acceptable in the south-east of England, but that public engagement and participation in future decision making about indirect potable reuse will be important for the success of any particular proposal.
SPINOZA’S MONISM, PLATO’S «MATTER» AS THE BASIS FOR THE PHENOMENON OF NEUROPLASTICITY

Our goal is to show the relevance and organic self-realization of the concept of Spinoza’s monism in relation to the phenomenon of neuroplasticity within the framework of neurophysiology (Spinoza, 1957). We are talking about monism (a single substance) of the phenomenon of neuroplasticity to continue studying the problem of «mind-body» based on the dualism of Descartes, according to Damasio (Damasio, 1995). Neuroplasticity erases the long-lasting distinction between the brain and consciousness, gives conscious attitudes towards health, education, operates with exercises performed by consciousness-thinking and trains the brain at the same time – all this erases dualism in favour of a single, identical basis – monism with an external contradictory dialectic of «mind-body» (Damasio, 1995). Also, in addition to Spinoza’s monism, Plato’s concept of plastic «matter-chora» constitutes the philosophical basis for the phenomenon of neuroplasticity (Plato, 2006). In the theses, we rely on the works by Plato, Spinoza, Descartes, Damasio, and Doidge. The scientific novelty lies in the fact that for the first time we have identified the conceptual similarity of the philosophy of Plato, Spinoza and neurophysiology, in particular, the concepts of plastic matter, monism and the phenomenon of neuroplasticity. Instead of dualism and reduction, there is an expansion and interchangeability in the structure of the brain, when the properties of plasticity are expanded to areas responsible for other functions. We will conclude that instead of a mechanistically predetermined approach to the properties of the brain, we use the idea of Spinoza’s monism to universalize and philosophically conceptualize the phenomenon of neuroplasticity. Spinoza, like Descartes, referred to the rationalists of the New Time and was focused on analysing the properties of thinking, cognitive abilities. Both of them also dealt with the problems of thinking and the best methods of knowledge (Descartes, 1989). However, Spinoza’s materialism, monism with a single substance as the basis of the world resembles Plato’s «matter-chora», which is characterized by the properties of plasticity, homogeneity of various forms of the sensory world, their organic interaction, independent manifestation in diverse forms from a single basis-matter. Plastic «matter-chora» contains
Share-to-Run IoT Services in Edge Cloud Computing

Recently, the exponential growth of the Internet-of-Things (IoT) services with heterogeneous requirements becomes a burden to the traditional cloud/data center platform. Edge computing is an emerging solution to gain business value of IoT services where real-time demands become satisfied by moving computing resources close to data sources. Nevertheless, edge resources are still limited to be able to fulfill all demands at the same time. Among new approaches, resource sharing between edge/cloud service providers has been considered as a promising mechanism to address resource scarcity and pursue cost reduction. In this article, we propose an allocation and sharing model in the edge cloud network where providers team up to efficiently utilize resources, named the share-to-run IoT services (SRIS). In particular, we formulate a resource allocation and sharing optimization model to implement IoT services of multiple edge/cloud providers that can maximize the providers’ utility while satisfying service constraints. We relax SRIS into a tractable form that can be solved efficiently using well-known distributed convex frameworks, such as the dual decomposition and alternating direction method of multipliers. Finally, we evaluate our methods by providing several simulation cases, in which our proposed mechanisms show outstanding outcomes by obtaining a faster convergence, increasing by 6.9% of utilization, and 16% of acceptance rate compared to the nonoptimal approach.
Cell Therapy: The New Approach to Dermatology and Dermatologic Surgery

Cell therapy is a viable alternative for the treatment of disease and tissue degeneration that is very effective, reliable and incurs minimal adverse effects on the body. Its successful application extends to all fields of medicine, including dermatology. There are numerous types of stem cells and their extracts based on the procurement, catered to the holistic treatment of an individual. The properties of stems cells like pluripotency and self-renewing make them the ideal remedy for all types of ailments. The application for cell therapy in dermatology is diverse as it can be efficiently utilized from chronic wound therapy to autoimmune blistering diseases to malignancy. This field is evolving rapidly with newer therapies and treatment avenues for more diseases compared to the many pharmacological therapies available.
Sources of Knowledge and Innovation: An Empirical Text at a Pan-European Regional Level

Innovation performance seems to rely on efficiently integrating and extending different pieces of various types of knowledge emerging from diverse external sources. Different research traditions have stressed both formal (FSK) and informal sources of knowledge (ISK) as innovation performance drivers. Thus, context-led views such as the innovative milieux approach, innovation systems literature and the knowledge spillover view have tended to focus on diverse, informal and location-facilitated sources of knowledge. Meanwhile, firm-led perspectives such as the innovator networks approach and the open innovation model have tended to emphasise formal, proprietary and well-structured collaboration agreements. However, regardless of the emphasis put on one or other sources of knowledge, the different research traditions seem to agree that both should be important for innovation purposes. We study the combined effect of formal (FSK) and informal sources of knowledge (ISK) on European regional innovation performance. Our findings show that the effect of both sources of knowledge on innovation performance is not simple and linear. First, both sources of knowledge prove to have an interaction effect on innovation performance (i.e. the effect of FSK on regional innovation depends on the level of access to ISK in the region, and vice versa). Second, while the effect of ISK is linear (although different for each region), the effect of the FSK (which are more intensive in monetary costs, time, effort and opportunity costs) has a diminishing returns form, and achieves a saturation point at high levels of use of FSK. Our findings also show that the balanced access to both types of sources is important and that, for instance, regions with limited access to ISK should not expect miraculous effects from high levels of FSK. To the best of our knowledge, previous research has not been reported that has empirically studied the combined effect of both sources of knowledge at a European regional level.
How graph structure and connectivity affects the propagation of cooperation in a network

The notion of cooperation in biological systems has recently motivated the formation of evolutionary game theory, the study of evolving populations through game theoretic methods. Through modeling individuals as nodes in a graph and connections between them as edges, evolutionary game theory focuses on the dynamics of node strategy updating. This consists of nodes changing their strategies or behaviors according to a given process in either a discrete or continuous time basis. In this paper we study the long-term behavior of graphs with highly interconnected and highly sparse regions (such as the two-island, two-barbell, and rich-club graphs) under the birth-death and death-birth reproduction models given a prisoner’s dilemma payoff matrix. We discuss empirical evidence and observe that the degree-weighted frequency difference between two cliques tends to zero after long periods of time through observing the expectation of its derivative.
Explorer Matching Control Flow of Program Versions

In many application areas, including piracy detection, software debugging and maintenance, situations arise in which there is a need for comparing two versions of a program that dynamically behave the same even though they statically appear to be different. Recently dynamic matching [18] was proposed by us which uses execution histories to automatically produce mappings between instructions in the two program versions. The mappings then can be used to understand the correspondence between the two versions by a user involved in software piracy detection or a comparison checker involved in debugging of optimized code. However, if a program’s control flow is substantially altered, which usually occurs in obfuscation or even manual transformations, mappings at instruction level are not sufficient to en able a good understanding of the correspondence. In this paper, we present a comprehensive dynamic matching algorithm with the focus on call graph and control flow matching. Our technique works in the presence of aggressive control flow transformations (both interprocedural such as functio n inlining/outlining and intraprocedural such as control flo w flattening) and produces mappings of interprocedural and intraprocedural control flow in addition to mapping between instructions. We evaluated our dynamic matching algorithm s by attempting to match original program with versions that were subjected to popular obfuscation and control flow altering transformations. Our experimental results show tha t the control flow mappings produced are highly accurate and complete, for the programs considered.
The Accuracy and Validity of Self-Reported Social Media Use Measures Among Adolescents

A growing number of studies have tried to assess the effects of social media on adolescents, who are among the most avid social media users. To establish the effects of social media use, we need accurate and valid instruments to measure adolescents’ time spent with these media. The aim of this preregistered study was to examine the accuracy and convergent validity of retrospective surveys and experience sampling method (ESM) surveys, by comparing adolescents’ responses to these self-report measures with their digital trace data. The sample consisted of 125 adolescents (48% girls; Mage = 14.1) with Android smartphones. In both retrospective surveys and ESM, adolescents overestimated their time spent on social media. They more accurately estimated their time spent on platforms that are used in a less fragmented way (Instagram) than on platforms that are used in a more fragmented way (Snapchat). The between-person convergent validity of adolescents’ time estimates according to retrospective surveys and ESM reached the threshold for minimum acceptable convergent validity (r ranged from .55 to .65). The within-person convergent validity of adolescents’ ESM estimates of their time spent on social media was unacceptable (r = .32). The between- and within-person convergent validity of ESM estimates decreased over time (i.e., fatigue effect).
An Approach Using Fuzzy Sets and Boosting Techniques to Predict Liver Disease

The aim of this research is to develop a mechanism to help medical practitioners predict and diagnose liver disease. Several systems have been proposed to helpmedical experts by diminishing error and increasing accuracy in diagnosing and predicting diseases. Among many existing methods, a few have considered the class imbalance issues of liver disorder datasets. As all the samples of liver disorder datasets are not useful, they do not contribute to learning about classifiers. A few samples might be redundant, which can increase the computational cost and affect the performance of the classifier. In this paper, a model has been proposed that combines noise filter, fuzzy sets, and boosting techniques (NFFBTs) for liver disease prediction. Firstly, the noise filter (NF) eliminates the outliers from the minority class and removes the outlier and redundant pair from the majority class. Secondly, the fuzzy set concept is applied to handle uncertainty in datasets. Thirdly, the AdaBoost boosting algorithm is trained with several learners viz, random forest (RF), support vector machine (SVM), logistic regression (LR), and naive Bayes (NB). The proposed NFFBT prediction system was applied to two datasets (i.e., ILPD andMPRLPD) and found that AdaBoost with RF yielded 90.65% and 98.95% accuracy and F1 scores of 92.09% and 99.24% over ILPD and MPRLPD datasets, respectively.
Harmonic compensation control strategy based on adaptive virtual impedance for inverter

When microgrid operates in island mode, the harmonic pollution will be resulted because of the nonlinear loads. In order to solve the problem of harmonic pollution during the island operation of microgrid and realize the power sharing averagely between the paralleled inverters at the same time. A control method based on model reference adaptive virtual impedance is proposed. A harmonic sorting compensation strategy is used. By detecting the harmonic voltage, that is injected into the model reference adaptive control loop. Then in the model reference adaptive control loop, the difference between the feedback voltage and the output voltage can be calculated. The obtained voltage difference is separated according to the frequency band. And the result is sent to the adaptive mechanism, then the virtual resistance of each harmonic frequency band can be dynamically adjusted to complete the purpose of harmonic compensation in the system. A simulation platform is built in SIMULINK. The validity of the proposed method is verified.
Learning About the Self: Motives for coherence and positivity constrain learning from self-relevant feedback

People learn about themselves from social feedback, but desires for coherence and positivity constrain how feedback is incorporated into the self-concept. We develop a network-based model of the self-concept and embed it in a reinforcement learning framework to provide a mechanistic account of how motivations shape self-learning from feedback. Participants (n = 46) received feedback while self-evaluating on traits drawn from a causal network of trait semantics. Network-defined communities were assigned different likelihoods of positive feedback. Participants learned from positive feedback but dismissed negative feedback, as reflected by asymmetries in computational parameters that represent the incorporation of positive versus negative outcomes. Furthermore, participants were constrained in how they incorporated feedback: self-evaluations changed less for traits more important to coherence of the network. We provide a mechanistic explanation of how motives for coherence and positivity jointly constrain learning about the self from feedback that makes testable predictions for future clinical research.
Antibacterial Activity of Thespesia populnea Mediated Nanoparticles

Nanotechnology is one of the most fascinating research areas in modern material science. Nanoparticles are gaining importance in the fields of biology, medicine and electronics owing to their unique physical and biological properties (Morones et al., 2005). Recent studies are focused towards synthesis of nanoparticles using plant materials like, iron, copper, calcium, gold, palladium, zinc and silver. Silver and zinc oxide has been recognised of its importance in chemistry, physics and biology due to its unique properties. Hence, among the metal nanoparticles, silver nanoparticles (AgNPs) and Zinc oxide nanoparticles (ZnONPs) synthesised from medicinal plants have received much attention for their various biological properties such as anthelmintic (Seema and Amrish 2012), antilarvicidic (Sundaravadivelan et al., 2013), antioxidant (Kumara et al., 2014), anticancer (Vasanth et al., 2014), anti-inflammatory (Rafie and International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 02 (2021) Journal homepage: http://www.ijcmas. com
Elemental Distribution Analysis of Core/Shell Nanocrystals with STEM/EDX

Semiconductor quantum dots exhibit many interesting and useful size-dependent optoelectronic properties. Recently, considerable effort has been invested in developing reliable methods for producing core/shell quantum dots. By manipulating the band alignment and strain between the core and shell, new avenues of optoelectronic tunability are being explored. However, the properties of these systems are sensitive to the interface between the core and shell materials and characterizing this interface remains a significant challenge. In this study, we build upon previous work and demonstrate a method for quantifying the radial distribution of elements in spherical core/shell nanocrystals by fitting simulated distributions to radially-averaged STEM/EDX data. This approach yields quantitative measurements of interface broadening, outer surface roughness, and core/shell composition.