Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordinated Control of SSSC Based Controller Using GSA Algorithm

In present scenario, the stability of power systems decreases with size, loading and complexity of power system. This problem is related to power system oscillation and performance of power system components. It is because of inadequate control required in power system and poor coordination among power system controllers. In this work we present power system satiability enhancement through coordinately control of SSSC based damping controllers and PSS. It is thoroughly investigated by designing a coordinated structure of both controllers for the purpose analysis. Here the simultaneous coordinated tuning of the Δω based PI types lead-lag controller based SSSC controller and power system stabilizer is performed by using GSA optimization technique. The simulation results of which are compared with conventional lead-lag coordinately control of SSSC controller. The performance of the purpose coordinately controllers are evaluated applying various disturbances and loading condition for both SMIB and multi machine complex power system. The effectiveness and strength of the proposed controller is tested by developing test model for both SMIB and MMIS in MATLAB platform
Effects of Adult Tree Density and Fire on the Demography of Pregrass Stage Juvenile Longleaf Pine (Pinus Palustris Mill.)

I Survival, growth (as measured by basal diameter) and density of a cohort ofjuvenile longleaf pines (> 1 year old, with secondary needles) were measured over a 4-year period to determine if density of adult conspecifics affects the demography and distribution of pregrass stage juveniles and if density of adults influences the effect of fire on juveniles. The pattern of mast years resulted in no competing juveniles less than 9 years of age. 2 Approximately 3000 juveniles were measured from 336 study plots placed in areas of low and high adult tree densities. Needle density was measured in each study plot prior to a prescribed burn conducted during the second year. Maximum fire temperatures were measured using temperature sensitive tablets. 3 Relationships among variables were quantified using path analysis. Path models were developed for independent and dependent variables before and after fire. 4 Survival, size and spatial distributions of pregrass stage longleaf pines were strongly affected by adult density, both in the absence and presence of fire. Juveniles in areas of low adult density were larger, and survival was higher. Aggregation of juveniles in areas of low adult densities was evident as early as the first year of growth and in the absence of fire. 5 Needle densities also affected juveniles in the absence of fire. Juveniles in areas of low needle litter accumulations were larger and had higher survival. Areas of low needle accumulations occurred in areas of low adult densities. 6 Fire markedly affected survival of juvenile longleaf pines. Only 21% of the initial cohort were alive one month after fire. Higher survival occurred in areas of low adult density, where juveniles were larger and needle density and fire temperatures were lower. Fire temperature was strongly related to needle density; hotter fire temperatures occurred in areas of greater needle density. Aggregation of juveniles was intensified after fire with higher densities of juveniles found in areas of low density of adults.
Cucurbitacin: As a candidate against Cytokine Storm in Severe COVID-19 Infection

The severity of SARS-CoV-2 infection is marked by elevated cytokines and chemokines levels like interleukin 6 (IL-6), interferon-gamma (IFN-γ), tumour necrosis factor (TNF), IL-2 and monocyte chemotactic protein 1 This hyperactive pro-inflammatory response identified as the Cytokine Storm (CS) complicates the disease leading to extensive damage of the host tissue, Acute Respiratory Distress Syndrome (ARDS), which further result in multiple organ failures CS is very critical for the disease progression and is responsible for high death rate in an infected patient Accordingly, various therapeutic modalities are currently investigated for their effectiveness in subsiding the hyper-inflammatory syndrome either using immunomodulatory agents or anti-inflammatory therapies Phytochemical (herbal) compounds are demon-strated to possess anti-inflammatory, antimicrobial or antioxidants proper-ties Various signalling pathways and molecules exacerbating the inflammation state complicate the pathophysiology of COVID-19 Cucurbitacins are tetracyclic bioactive phytochemical compounds found in cucurbitaceous plants More than 100 species of cucurbitacins possess various pharmaco-logical properties, including anti-inflammatory Cucurbitacin E and R have shown to be down-regulated the expression of TNF alpha and IL-1beta Cucur-bitacin II B also alleviates the expression of TNF-α as well as IFN-γ and IL-6 Cucurbitacin1 has the potential to reduce the oxidative stress-induced with the reactive oxygen species, and thus prevents cardiovascular damage Thus cucurbitacins may be pharmacologically manipulated to establish its clinical efficacy in minimizing the disease state and improvising the prognosis of the patients
Analyzing Educational Objectives that Include Critical Thinking: Dot Product Problems in Vector Algebra

The primary and secondary school educational system should be stable and any upgrading reforms should be made gradually and consistently. This is especially important in mathematics education, since the element of logical reasoning while learning is more prominent there. Inconsistencies in reforms generate deficiencies in the higher levels of young students’ reasoning skills and this situation continues on the university stage of education. We will report our findings about the reasoning of first-year university students on elements of geometry and associated algebra. We conducted an experiment where students’ understanding of the definition of dot product of two vectors, cosine function and linear (in)dependence of vectors is evaluated, and address their mathematical activity to provide insight into the key elements of the problem they are solving. We use Bloom’s and SOLO taxonomy as a tool for the assessment of our findings. We obtained the data from written exams given to vector algebra students and also from individual interviews.
Water and wastewater management in Morocco: Biotechnologies application

This paper presents an overview about water and waste water management in Morocco. The main problems related to the availability of water resources and their preservation from the pollution are described. Moreover, a detailed description of the different efforts done in Morocco in recent years to overcome the technical, economical and organizational problems of water and wastewater management and to catch up the considerable delay regarding sanitation and recovery of treated wastewaters has been reported too. Regarding sewage treatment, the stabilization ponds called also natural lagoons are considered as the most appropriate biotechnology to treat the increasing flows of domestic wastewater in Morocco. The treatment of sewage through natural stabilization ponds was recommended in early 2000 by the National Sanitation Master Plan (SDNAL), particularly because of its low investment and operating costs. However, other sophisticated biotechnologies such as aerated activated sludge have been chosen for big cities due to the large areas that would be required for.
Media sentiment analysis for measuring perceived trust in government

Anotation. This study employs sentiment analysis of articles published in popular Lithuanian media outlets in an attempt to determine the citizens’ trust in the Lithuanian government at a given time. Based on the classical political theory by Thomas Hobbes and contemporary political theories of divisionary politics and the “rally ‘round the flag” effect, it is hypothesized that with an increased sense of insecurity, the population puts more trust into their government. The hypothesis is tested by examining the sentiment expressed in articles concerning governmental affairs published in Lithuanian media and the user-generated comments published on Facebook for the period of six months prior to and after March 2014 – Russia’s annexation of Crimea, an event that created a sense of fear among the Lithuanian public. The analysis of the gathered data found that the decrease in sentiment towards Russia correlated with an increase in the sentiment towards the government of Lithuania in conventional media. The analysis of Facebook comments suggested the same result, but overall was inconclusive.
THE SPACE OF COMPETENCIES AND EMOTIONAL INTELLIGENCE IN INNOVATION PROJECTS

Today such concept, as the project is firmly established in the life of almost any organization. Project activities, as well as any activity within the organization needs to manage, and in this case managers staff in project management. Functional (linear) and project management differ in the amount of tasks. If the functional Manager is mainly personnel management, it project manager performs more extensive features, which include: financial management, personnel management, operations (production) management, procurement and supply, technical-technological aspects of management, etc. Therefore, project Manager needs to have a sufficient level of competence and developed emotional intellect. The challenges facing leaders require the ability to carry out an active search for the necessary decision making information; to recognize the emotional state of the interlocutor, to interpret adequately the content of the received information taking into account their nature, degree of completeness and accuracy, the presence of "hidden meaning", manipulating, etc. The project Manager must be able to interact with their partners, subordinates to achieve the goals, to obtain the desired effect (change of behaviour, thoughts, relationships, etc.). The cross-reference relationships of the behavioral competencies of project managers on the models of the International Project Management Association (ICB 4.0) and the Japanese knowledge system P2M in the context of the development of emotional intelligence are investigated. The results of a comparative analysis of the behavioral competencies of the two knowledge systems identified key criteria for taxonomies that shape and develop the emotional intelligence of project managers.
A General Model of Optimal Reproduction in a Randomly Varying Environment

Because of natural selection, the reproductive behaviour of natural populations is expected to be such as to maximize their long term expectation of survival. Predictions can be made, therefore, about the natural reproductive behaviour of a population, by constructing for it a representative model, and finding the behaviour which maximizes the long-term survival expectation of the population in the model. The results of such predictions can then be compared with known reproductive behaviour in different organisms, and some general conclusions can be reached about the validity of the model and of the hypotheses on which it was based. An organism may at any time interval either initiate reproduction, or remain in a nonreproductive phase, which may be either a dormant phase or an active vegetative phase. In general, the viability of a reproducing organism is reduced relative to that of a comparable non-reproducing organism. In extreme cases, a reproducing organism may die after completing the reproductive cycle. In this paper, we consider the problem of the optimal fraction of a population which should attempt to reproduce at any given time interval, when viability, reproduction and differential viability of reproducing organisms are random variables with constant distributions, i.e. in a 'stationary' environment. Our main aim is to show what are the conditions which determine when it is optimal for the whole population to reproduce, and when it is optimal for only a fraction of the population to attempt to reproduce. The numerical values of the optimal reproducing fractions in populations are computed for different representative distributions of viability, reproduction and differential viability of reproducing organisms.
Avian influenza in caged laying chickens.

The isolation of avian influenza virus from chickens is reported for the second time in the United States since the fowl plague outbreak in 1929. The Hav6Nl influenza A virus was identified by virus isolation and/or serological techniques from three flocks of commercial Leghorn hens on a single farm in central Minnesota. A fourth house on the same farm was unaffected. Mortality was moderate, whereas egg production declined markedly.
Determining the Relationship of Admission Features and Finishing University Studies using Educational Data Mining and Information Visualization

The analysis of academic data looking for patterns of interest has increased in the last years. However, this is not a simple process, especially considering the amount of data that is generated in an educative environment. With thousands of data, it is complicated searching for patterns that can simplify or improve an analysis. However, humans have an innate capacity for understanding images better than data, using this ability simpliﬁes the process of ﬁnding patterns for its later analysis. This work shows the analysis of admission features for determining their impact in ﬁnishing or not of university studies using Educational Data Mining and Information Visualization. Results show that ﬁrst approaches obtained from visualizing the data and ﬁnding patterns simplify the process of determining the eﬀect of these features. It is also shown that a student with an older admission age is prone for not ﬁnishing their studies.
Digitally Automated Incubation System For Complete Seed Germination

Ongoing period has brought upon a noteworthy worldwide sustenance lack because of the climatic changes on the planet. So as to manage this issue of worldwide sustenance lack individuals must need to grow a sensible arrangement of vegetables and different harvests utilizing distinctive methodology and artificially controlled framework yields more products contrast with open field development since the microclimatic parameters that determine crop yield are persistently inspected and controlled to guarantee that an ideal environment is made. This research paper addresses and endeavors to determine a few issues that are looked by plants guardian utilizing the engineering methodology so he/she could stay fulfilled even when he/she physically away for a long time because the automated the system will take care of everything in the absence. This automated framework works utilizing sensors and actuators, which are controlled by microcontroller, monitor and deals with each ecological parameter required for the sound development of plants. Keywords-Arduino, IoT, Automation, Relays, Data Acquisition.
Assessment of Selfie addiction, and Selfitis among Allied Health Sciences students of a tertiary care hospital in Chennai, Tamil Nadu

A sel ie is a self-portrait photograph typically taken with a camera phone held in hand or supported by a sel ie stick. Studies suggest that the level of sel ie addiction among youngsters has been increasing over the years. Sel itis is the term that is being widely used to denote sel ie addiction. This study aims at assessing the level of sel ie addiction and various factors associated with it, and to evaluate the relationship between sel ie addiction and addictive sel ie habits. A cross-sectional study was conducted among the Allied Health Science students of a tertiary care hospital in Chennai. Two hundred seventythree students were studied by convenient sampling method. A pre-tested, validated, structured and self-administered questionnaire was given, and the desired information was elicited. Chi-square test was used to test the signi icance (p <0.05)A total of 287 studentswere studied, ofwhich 65 (22.6%)were males, and 222 (77.4%) were females. It is observed that age, year of study, the place from which they come, place of stay and father’s occupation have a statistically signi icant relationship with sel ie addiction. Most of the sel ie addictive behaviours have a female preponderance. A signi icant portion of the youth is in the early stage of sel ie addiction. Hence it is highly essential to spread awareness about the ill effects of sel ie addiction among the youngsters to curb this addiction earlier.
Operating System Doppelg¨angers: The Creation of Indistinguishable, Deterministic Environments

In support of the Cyber Grand Challenge program, DARPA required an execution environment that not only focused research, but also facilitated rigorous, repeatable measurements and presented the highest levels of integrity. The desire was that measurements published out of the program could provide a basis for years of research in automated cyber reasoning. Further, due to the competitive nature of the program, and the preexisting cultural acceptance of undermining the integrity of cy-bersecurity competitions, there was a real need to create a system presenting very limited risk surface. The DARPA Experimental Cyber Research Evaluation Environment, or DECREE, was conceived to meet these needs. DECREE is a novel environment speciﬁcation consisting of a simpliﬁed set of system calls and a consistent, measurable interface to system resources (CPU, memory, etc) for every user program. In this work we explore many of the decisions and constraints that drove the design and development of DECREE, and, speciﬁ-cally, detail implementations of DECREE that have already been deployed in high-proﬁle, public experiments. In particular, we detail the precise measures taken to ensure that two disparate implementations of the DECREE speciﬁcation (Linux and FreeBSD) are indistinguishable from one another to user programs, while simultaneously striving for the highest levels of determinism and ﬁdelity for measurement. In the rare situations where the operating system does not provide enough capability, we detail the use of a custom hypervisor to address the deﬁcien-cies.
Foraging closer to the colony leads to faster growth in little auks

2 Institute of Oceanology, Polish Academy of Sciences, ul. Powstancow Warszawy 55, 81-712 Sopot, Poland ABSTRACT: Knowledge of foraging behaviour is essential to understand both the ecological roles of seabirds and the constraints acting upon them in marine ecosystems. Here, we investigated for- aging trips of a small planktivorous alcid, the little auk Alle alle, using miniature GPS loggers. We performed the study in 2 large breeding colonies in west Spitsbergen (Hornsund and Magdalene- fjorden) with contrasting oceanographic conditions (Arctic and Atlantic environments, respec- tively). Generally, in both locations little auks foraged in areas with low sea surface temperature (Arctic-type water, marginal ice zone, and frontal zones) where preferred zooplankton are com- monly abundant. In the Arctic environment (Hornsund), birds foraged significantly closer to the colony (up to 60 km) compared to up to 150 km in the Atlantic environment (Magdalenefjorden). Hatching and breeding success and chick survival up to 20 d as well as chick body mass para - meters were similar in both studied colonies. However, chicks in the Arctic environment (Horn- sund) achieved both peak body mass and fledging age earlier, suggesting faster chick growth than in the Atlantic environment (Magdalenefjorden). The importance for breeding little auks of nearby cold water foraging grounds may make them sensitive to predicted climate change with serious negative consequences for body condition, future survival and breeding success.
Personalized Social Media Communication Based on Millennials' Attitudes

As a result of intense and ever-growing technological development, as well as the increase of digital media usage in everyday life, communication strategies have undergone profound transformations in order to adapt to specific conditions of online environment. Due to the interactive essence of Internet communication, which is being realized on social media and other online platforms, the need for engaging social media users in creating communication strategies has emerged. Furthermore, demographic trends have resulted in the shift of target audience structure, since generation Y members (i.e. millennials) have growing importance within the structure of contemporary society. This generational cohort, among its other characteristics, can be depicted by its distinct sophistication in terms of communication preferences. To be more precise, this generation expects to be provided with interactive, real-time and personalized communication, which is adjusted to social media platforms they use and can be consumed on the go. Therefore, the aim of this paper is to observe and accentuate the changes in media communication strategies caused by millennials and their extensive use of technology. The results obtained from the research conducted in this paper can be useful for both communication researchers and practitioners, and can be used as guidelines for creating digital communication strategies for millennials.
On improving open dataset categorization

— Under influence of open government and data transparency initiatives, a variety of institutions have published a significant number of datasets. In most cases, open data portals are used as tools for publishing purposes. Further, open data portals have the ability to make data more accessible by categorizing datasets based on different criteria like publishers, institutions, formats, and descriptions. For these purposes, portals take advantage of metadata accompanying datasets. However, a part of metadata is often missing which makes it harder for users to find appropriate datasets and obtain the desired information. As the number of available datasets grows, this problem becomes easy to notice. This paper is focused on first step towards decreasing this problem by implementing components capable of suggesting the best match for the category where an uncategorized dataset should belong to. Our approach relies on dataset descriptions provided by users within dataset tags and uses formal concept analysis to reveal shared conceptualization originating from tags' usage. Since tags represent free text metadata entered by users, in this paper we will present a method of optimizing their usage through means of semantic similarity measures based on natural language processing mechanisms. Finally, we will demonstrate the advantage of our proposal by comparing concept lattices generated using formal concept analysis before and after optimization process and use generated structure as a knowledge base to categorize uncategorized open datasets.