Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Compartmentation of Gibberellin A, and Its Metabolites in Vacuoles of Cowpea and Barley Leaves'

The metabolism and efflux of gibberellin A1 (GA1) taken up by leaves of cowpea ( Vigna sinensis cv. Blackeye pea No. 5), as weDl as the distribution of GA, metabolites in the protoplasts and vacuoles of cowpea and barley (Hordeum vulgare L. cv. Numar), were studied. GA1 is metabolized rapidiy in cowpea leaf discs to products tentatively identified as gibberellin A8 (GA8) and gibberellin A8 glucoside (GA8-glu). After labeling leaf discs with I3HIGAi for 1 hour, the release of radioactivity from the leaf was followed. Over a 12-hour period, the level of radioisotope in the tissue declined to about 35% of the original, after which no further release was observed. At this time, almost all ofthe radioactivity remaining in the leaf was GA8-glu, while most of the radioactivity which had been released was unmetabolized GA1. Mesophyli protoplasts and vacuoles were isolated from cowpea and barley leaves previously fed 13HIGA1. These protoplasts retain the ability to metabolize GA1, indicating that neither the leaf structure nor the ceDl wall is necessary for this metabolism. A higher proportion of GA8-glu was found in the vacuoles relative to the entire protoplasts. The results obtained suggest that GA1 metabolites are preferentiaDly compartmentalized in the vacuoles relative to GA1. the radioactive solution and rinsing the leaf tissue three times with 10 ml of the above buffer solution over a 15-min time span. The discs were transferred to the same buffer solution and incubated at 25 C for different periods of time. Leaf discs were extracted with hot 95% ethanol. The radioactivity in the extracts and in the incubation medium was determined by scintillation counting. of Vacuoles. and vacuoles Some modifications were introduced mixed with 5 ml M sucrose in mm All the solutions used purification vacuoles contained 1 mM The inclusion and substantially increased the stability of the vacuoles Our vacuole preparations were shown to be essentially free of contami- nation by cytoplasm using the marker enzyme P-enolpyruvate carboxylase Metabolism of [3HIGA1. Leaf tissues were fed, incubated, and extracted as described for the efflux experiments. To prepare ABSTRACT
Evaluation of the protective e⁄cacy of a newly identi¢ed immunogenic protein, HP0272, of Streptococcussuis

Streptococcus suis serotype 2 (SS2) infection is a major cause of sudden death in pigs and is of concern for humans as it has strong zoonotic capabilities. Developing novel effective vaccines would be beneﬁcial to control SS2 infection. HP0272 is a novel immunogenic surface protein; its protective efﬁcacy remains to be evaluated. The present mouse model found that the puriﬁed recombinant HP0272 could elicit a signiﬁcant humoral antibody response, and to confer complete protection against a lethal dose of SS2 infection. In addition, real-time PCR conﬁrmed that in vivo -induced antigen existed in most SS2 ﬁeld pathogenic strains, and in half of all reference strains of different serotypes of S. suis . The results indicate that HP0272 has the potential as an effective component of a new vaccine.
Testing the three-hit hypothesis of schizophrenia: ACTH hyper-reactivity and schizophrenia-like endophenotypes co-precipitate in genetically-susceptible rats following early-life adversity and post-weaning social isolation experiences

It has been postulated that common variance in dopamine related genes producing dopamine dysregulation is causally involved in schizophrenia pathophysiology, if combined with adverse early postnatal and prepubertal environmental factors. The present study was designed to test this “ three-hit or cumulative stress” hypothesis of schizophrenia by examining these environmental interactions in rats with dopaminergic hyper-reactivity. We used as a first hit the genetic predisposition for dopaminergic hyper-reactivity of the apomorphine susceptible (APO-SUS) rat line. Poor maternal care and post-weaning isolation rearing served as second and third hit to brain development and maturation of the APO-SUS rats, respectively. Animals were assessed on dopamine sensitivity (APO-induced gnawing), sensorimotor-gating (pre-pulse inhibition of acoustic startle, i.e. PPI), short-term memory (T-maze spontaneous alternation) and stress response (hormone responses to a conditioned emotional stressor). p=0.019), and SG (F 1,49 =41.86; p<0.001). APO-SUS displayed reduced variation of PN, and increased variation of time away and self-grooming compared to WH.
Using Extended Tactics to Do Proof Transformations

In this thesis we develop a comprehensive human-oriented theorem proving system that integrates several different proof systems. The main theorem proving environment centers around a natural Gentzen first-order logic system. This allows construction of natural proofs, encourages user involvement in the search for proofs, and facilitates understanding of the resulting proofs. We integrate more abstract automatically generated proofs such as resolution refutations by transforming them to proofs in the Gentzen system. Expansion trees are another proof system used as an intermediate stage in transformations between the abstract and natural systems. They are a compact representation useful for transformations and other computations. We develop a programming language approach to theorem proving based on tactics and tacticals. Our extended tactics provide a method for doing proof transformations, as well as facilitate interactive theorem proving, allowing full integration of interactive and automatic theorem proving. In the system, we explicitly represent proofs in each proof system and view expansion tree proofs as types for Gentzen proof terms. This explicit proof representation allows proofs to be manipulated as meaningful data objects and used in various computations. For example, the proof terms in the natural Gentzen system can be used to obtain natural language explanations of proofs. We foresee several applications for this kind of theorem proving system, such as use as a logic tutor, a tool for doing mathematics, or an enhanced reasoner and explanation facility for existing A1 systems. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-86-89. This technical report is available at ScholarlyCommons: https://repository.upenn. edu/cis_reports/666 Using Extended Tactics To Do Proof Transformations
Truss Decomposition for Extracting Communities in Bipartite Graph

—We propose a novel method for extracting communities, i.e., dense subgraphs, embedded into a bipartite graph. Our method is based on a technique for graph decomposition. Decomposing a large graph into cohesive subgraphs plays an important role in identifying community structures in social network analysis. Among a lot of deﬁnitions of cohesive subgraphs, the k -truss formed by triangles is one of the simplest cohesive subgraphs with a good trade-o ﬀ between computational e ﬃ ciency and clique approximation. This decomposition is, however, not applicable to bipartite graphs because bipartite graphs contain no triangles. In this paper, a quasi -truss decomposition algorithm for bipartite graphs is proposed based on the truss decomposition algorithm for general graphs. The proposed method can be used for analyzing the international business, such as the relationship between clients and sales volume in a certain period, and also analyze the social networking, such as users-topics relations in the twitter community.
Wind-borne dispersion of Echinococcus multilocularis eggs – a flight model

Abstract The alveolar hydatid disease, also known as alveolar echinococcosis, of humans is certainly one of the most dangerous zoonoses worldwide. The disease is caused by Echinococcus multilocularis – the fox tapeworm. Red foxes (Vulpes vulpes) are currently counted as the most important carriers (reservoirs) of E. multilocularis in the Northern Hemisphere. The possible routes of infection of E. multilocularis to humans are complex and still require research. Until now, it has been unknown whether E. multilocularis eggs can be moved by wind at all. This analysis shows, based on calculations, that E. multilocularis eggs can be transported by wind. Using a mathematical model, flight distances depending on wind speed and take-off heights are calculated for dense and less dense (coniferous) forest areas. The results – differentiated for seasons and as overall average – are based on mean values of wind speeds which were measured over a ten-year period in an experimental forest stand in the Solling (Germany). Due to their rate of descent, wind-related spreading of E. multilocularis eggs is possible. The average flight distance covered by E. multilocularis eggs in forest areas, depending on their starting altitude and wind speed, is between approximately 1.3 m and approximately 17 m. From the mathematical point of view, the wind factor can definitely be seen as one of the multiple vectors associated with environmental contamination by E. multilocularis eggs. Consequently, the possible wind-borne spread of E. multilocularis eggs poses an infection risk to humans that should be considered and requires further research.
Antifungal activity of some medicinal plant extracts against some fungal isolates

Introduction: Fungi live everywhere in the environment, most of them are not dangerous, but some types of fungi can be harmful to humanhealth. The medicinal plants contain many antimicrobial components that make them recently used as powerful drugs. The aim of the present investigation was to examine the antifungal potential and minimum inhibitory concentration (MIC) of three plant extract: Aloe vera gel, cinnamon (Cinnamomum zeylanicum) and turmeric (Curcuma longa) against three fungal species: Aspergillus niger, Candida albicans and Fusarium oxysporum. Materials and Methods: The plant materials were extracted using solvents DMSO and ethanol and then were tested against the selected fungal isolates using well diffusion method. Results and Discussion: Antifungal activity of Aloe vera against Aspergillus niger showed MIC value of 25% whereas for Candida albicans and Fusarium oxysporum the MIC obtained was 100%. Both cinnamon and turmeric showed maximum potency against Aspergillus niger, Candida albicans and Fusarium oxysporum at highest MIC value of 100 %. The degree of inhibition increased correspondingly with increasing concentrations of the plant extracts. Conclusions: the tested plant extracts have an antifungal activity and could be used as alternative drugs.
ANALYSIS OF PROPERTIES OF CONCRETE USING HENS FEATHER DIPPED IN SALT WATER AS FIBRE REIGFORCEMENT ADMIXTURE OF PROPERTIES OF CONCRETE USING HENS FEATHER DIPPED IN SALT WATER AS FIBRE REIGFORCEMENT ADMIXTURE.”

A material other than water, aggregates, or cement that is used as an ingredient concrete or mortor to control setting and early hardening, workability, or to provide additional cementing properties. In this paper analysis of properties of concrete using hen’s feathers dipping in saltwater as admixture is studied and verified the strength of concrete to the normal Portland cement. As hens feather are most complex integumentary appendages formed in tie follicles in the epidermis, or outer skin layer that produce keratin proteins.
Machine Learning Based Techniques for Cyberattacks Detection in the Internet of Things Infrastructure

The emergence of the concept of the Internet of Things has revolutionized many economic sectors and areas of human activity. At the same time, the spread of the Internet of Things has led to the emergence of cyber security risks in those areas of human activity for which cyber security problems were not relevant before. Most of the security problems in IoT infrastructure arise from a lack of basic security controls. In particular, open ports, security issues with the protocols used in the IoT infrastructure, outdated applications and components of IoT devices, lack of automatic firmware updates for smart devices (or no update releases at all), insecure update mechanisms, insecure settings (by default), weak passwords, vulnerabilities in software and web applications, direct network connection to the Internet, insecure authentication methods. Exploitation of vulnerabilities in routers, storage systems, access control and other IoT devices contributes to the spread of malicious software in the IoT infrastructure and compromising IoT devices. The low level of security of IoT devices leads to the fact that a large number of such devices can be compromised with a high degree of probability and used as a means to carry out various attacks both inside and outside the IoT infrastructure. Attacks on IoT infrastructure result in device hacking, data theft, financial loss, instability, or even physical damage to devices. In turn, given the specific nature of these hacked IoT devices, damage to them can lead to injury to people working or dependent on these devices. At the same time, the owners of hacked IoT devices indirectly become accomplices in cyber-crimes. The article provides an overview of known methods for detecting cyber-attacks on the infrastructure of the Internet of things based on machine learning methods. Despite the large number of such approaches, the problem of detecting zero-day cyber-attacks in the IoT infrastructure is still unresolved. This leads to the need to find new approaches that can solve this problem.
Method of Facial Geometric Feature Representation for Information Security Systems

Throughout human history, emotional manifestations have played a major role in interpersonal interaction among humans in all areas of society. In particular, information security systems for visual surveillance, based on recognizing emotional states by facial expressions, have recently become highly relevant. In this paper, we propose a method of representing geometric facial features, which aims to enhance the functioning of visual surveillance for information security systems. The method is designed to automatically reflect the facial expressions of human emotions in the form of quantitative characteristics of geometric shapes. It uses software-generated landmarks for constructing specific geometric characteristics of the face, which serve as input data for the method. Our method consists in forming seven geometric shapes based on predefined landmarks, with the subsequent quantitative expression of these shapes. The method derives quantitative features of seven forms, which are further used to identify emotional facial states. We validated the proposed method using hyperplane classification and compared its performance with analogs. As such, the classification model, which was constructed based on the proposed method, achieved a classification accuracy of 92.73% and slightly surpassed the analogs in other statistical indicators. Overall, the results of computational experiments confirmed the effectiveness of the proposed method for identifying changes in a person’s emotional state by facial expressions. In addition, the use of simple mathematical calculations in our method has significantly reduced the computational complexity against analogs.
Self-organized distributed anomaly detection system in computer systems based on the principal components method

In order to solve the scientific problem of improving the efficiency of anomaly detection in computer systems, the manifestations of which are due to the effects of malicious software and computer attacks, a method and distributed anomaly detection systems were developed based on synthesis of self-organization and centralization principles. The results are the basis for creating distributed systems to detect computer attacks and malware. Also, they can be used to create such a class of intrusion detection system as a honeynet. As a result, the peculiarities of anomaly manifestation in computer systems under the conditions of malicious software operation and computer attacks in local computer networks are studied and modern methods of anomaly detection, their features and methods of creation and architecture of distributed systems are analyzed. The architecture model of the distributed anomaly detection system in computer systems has been improved, which synthesizes the requirements of distribution, centralization and self-organization, to create distributed systems and their components, which will operate under the leadership of one center distributed between different components and decide independently. the presence of an anomaly. To ensure the integrity of the distributed system, a method was developed to maintain the integrity of the self-organized distributed system to detect anomalies in computer systems, based on which the system could change its architecture without user intervention, and determine strategies for further work. To detect computer attacks and malware, the method of centralized detection of distributed anomalies by the main components search algorithm has been improved to reduce the dimensionality from the moment of receiving and sending data to the decision center of the system. The results were implemented in the appropriate software, with which detection experiments were conducted, which showed improved reliability in the detection of computer attacks and malicious software.
Oscillating and unidirectional sliding wear behaviour of cold sprayed Ti-6Al-4V coating on Ti-6Al-4V substrate

Ti-6Al-4V components are widely used in the aircrafts engine or airframe parts, as landing gears or wing boxes, where the wear by unidirectional sliding or oscillating relative motion is one of the most recurrent damage processes. Recently, the deposition by Cold-Spray (CS) has been revealed as a promising alternative to repair these damaged components, increasing their useful time and decreasing the maintenance costs. Consequently, the wear resistance of the coatings could be improved by optimizing the CS processing parameters. In this work, oscillating and unidirectional sliding wear tests were planned to determine the wear resistance of Ti-6Al-4V coatings deposited onto substrates of the same Ti alloy by CS. The coatings were sprayed using two different values for two of the main spraying parameters. First, values of 800 °C and 40 bars were used for the process gas temperature and pressure, respectively, which are widely used spray conditions by researchers; and secondly, values of 1100°C and 50 bar were used for both parameters, respectively. Unidirectional sliding and oscillating wear tests were performed and the effect of the testing temperature was studied. The main wear mechanisms in room temperature (RT) were abrasion and adhesion, while oxidation was also distinguished during the high temperature tests. In addition, the wear processes were more severe during the unidirectional sliding tests as compared to the oscillating tests. The results showed that the coatings deposited using the first spraying conditions presented a poor wear resistance as compared to the substrate and thus they are not adequate for repairing purposes. However, the coatings deposited using higher values of gas temperature and pressure showed a comparable, or even better, wear resistance to that of the substrate under oscillating movement.
Fuzzy Model of Raster Transformation of Square Elements

Mamdani fuzzy model of the image raster transformation for square elements has been developed on the basis of a fuzzy set of rules that reproduce the input geometric size and its area, which is an information carrier, its fuzzification and inference have been carried out using the input and output membership function, which more fully and quantitatively describe the fuzzy ranges of light, gray and mid tones reproduction in the tone interval. A simulator of a fuzzy model of raster transformation in Matlab: Simulink package has been developed with the help of Fuzzy Logic Toolbox, which has simplified its implementation. The simulator calculates three membership functions of fuzzy sets and visualizes them. The results of the simulation modelling in the form of graphs of membership functions of input and output variables are presented and their properties are analysed. Fuzzy models quantify and objectively evaluate fuzzy ranges of light, gray, and dark tones during the rasterization process, which is the advantage of fuzzy models over traditional ones.
Covid'19 Vaccination Decision-Making Method and Subsystem Based on Civil Law

The conducted analysis of civil law grounds on the need and possibility of vaccination against Covid'19 in Ukraine made it possible to determine the categories of workers subject to compulsory vaccination, as well as a list of medical contraindications and warnings to vaccination against Covid'19. Developed Covid'19 vaccination decision-making method based on civil law provides: a conclusion on the mandatory or optional depending on the profession and place of work of the patient (but desirability) vaccination from Covid'19;conclusion on the possibility or contraindications to vaccination from Covid'19 - depending on the existing diseases and the current state of health of the patient;conclusion on the type of contraindication and its duration - in the case of a conclusion on contraindications to vaccination from Covid'19. Developed Covid'19 vaccination decision-making subsystem based on civil law provides a conclusion on whether or not vaccination from Covid'19 is mandatory or optional from the point of view of profession and place of work (but desirability);conclusion on the possibility or contraindications to vaccination from Covid'19;conclusion on the type of contraindication and its duration. So the subsystem will be useful for patients who, truthfully answering questions from the subsystem, will receive a conclusion on the need and possibility of vaccination from Covid'19 them or their relatives, as well as for family physicians, which will reduce the burden during patient counselling and make it easier to answer questions about the need and possibility of vaccination, as they will no longer need to know all the current legislation and civil law. Copyright © 2022 for this paper by its authors.
Persuasive Nature of User-Generated Content in Sharing Economy: Evidence for Entrepreneurship Post-COVID

The user-generated content (UGC) effects on brand image and brand trust in ride-hailing have attracted the attention of academic researchers. Specifically, with the emergence of COVID-19 pandemic issue, studying the impact of brand associations on perceptions of ride-hailing platforms became much urgent. These researchers come from a variety of disciplines; business, psychology and cultural studies. To realize how UGC can affect customers’ intentions to use ride-hailing platforms after the extirpation of COVID-19 crisis, it is vital to define how UGC affects associations in customers' minds. Therefore, this study investigates the issue via examining the impact of reviewing the online content of online platforms on brand image and brand trust of P2P service providers. This critical review examined 50 peer-reviewed articles regarding ride-hailing and UGC effects on brands published during 2010-2020. The topics ex-plored have been: user-generated content effects on marketing and branding, sharing economy, ride-hailing, brand image and brand trust, P2P platforms, customer motivations, sustainable consumption, and hyper consumption. Gaps in the literature and future research topics are explored.