Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct Binding of Syndecan-4 Cytoplasmic Domain to the Catalytic Domain of Protein Kinase Cα (PKCα) Increases Focal Adhesion Localization of PKCα*

Syndecan-4 is a transmembrane heparan sulfate proteoglycan that acts as a coreceptor with integrins in focal adhesion formation. The central region of syndecan-4 cytoplasmic domain (4V; LGKKPIYKK) binds phosphatidylinositol 4,5-bisphosphate, and together they regulate protein kinase Cα (PKCα) activity. Syndecan 4V peptide directly potentiates PKCα activity, leading to “superactivation” of the enzyme, apparently through an interaction with its catalytic domain. We now have performed yeast two-hybrid andin vitro binding assays to determine the interaction sites between 4V and PKCα. Full-length PKCα weakly interacted with 4V by yeast two-hybrid assays, but PKCα constructs that lack the pseudosubstrate region or constructs of the whole catalytic domain interacted more strongly. A mutated 4V sequence (4V(YF): LGKKPIFKK) did not interact with PKCα, indicating that tyrosine 192 in the syndecan-4 cytoplasmic domain might be critical for this interaction. Further assays identified a novel interaction site in the C terminus of the catalytic domain of PKCα (amino acid sequence 513-672). This encompasses the autophosphorylation sites, which are implicated in activation and stability. Yeast two-hybrid data were confirmed by in vitro binding and coimmunoprecipitation assays. The interaction of syndecan-4 with PKCα appears unique since PKCδ and ε did not interact with 4V in yeast two-hybrid assays or coimmunoprecipitate with syndecan-4. Finally, overexpression of syndecan-4 in rat embryo fibroblast cells, but not expression of the YF mutant, increased PKCα localization to focal adhesions. The data support a mechanism where syndecan-4 binds PKCα and localizes it to focal adhesions, whose assembly may be regulated by the kinase.
The effect of Lockdown due to Covid-19 on Post-traumatic Stress and Depression among College Students of Kolkata, hotspot district of West Bengal, India

COVID-19 pandemic has caused havoc worldwide. Kolkata, one of the largest metro cities in India is also going through a challenging situation as the number of infected/positive cases is increasing day by day. With strict preventive measures & restrictions by the Indian Government in the form of nationwide lockdown, the residents are going through a range of psychological & emotional reactions. Present study aimed at finding out the relation between post-traumatic stress &depression among both male and female undergraduate college students of Kolkata during COVID-19 lockdown phase. Two random samples of 100 participants (50 males & 50 females) aged 18 to 20 years residing in Kolkata were selected. The Impact of Event Scale—Revised (IES-R) by Horowitz, Wilner, & Alvarez, (1979) and The Center for Epidemiologic Studies—Depression Scale (CES-D) by Radloff (1977) along with a general information schedule were administered on selected samples through online. Findings suggest that PTSD including its factors & depression, all the variables under study had found to be gender dependent for college students living in Kolkata; & their post-traumatic stress significantly contributed to depression as well during lockdown for Covid-19 pandemic.
Control strategies for Campylobacter infection in poultry production

Campylobacteriosis is the most frequent zoonotic disease in humans worldwide. Poultry meat contaminated by Campylobacter jejuni (C. jejuni) is an important source of this enteric zoonosis. Broiler chickens are the common natural host for this pathogen and infected birds carry a very high Campylobacter load in their gastrointestinal tract. Therefore, intervention at the farm level by reducing pathogen colonisation should be taken into consideration in any control policy. In addition, hygienic measures at the farm and control measures during carcass processing can reduce Campylobacter numbers on the retail product. It is important to differentiate between prevention and colonisation-reducing measures, which intervene at a different stage of the infection process. Several approaches have been conducted to reduce the number of Campylobacter in poultry, such as vaccination, passive immunisation, bacteriophages, bacteriocins, organic acids or their derivatives and medium chain of fatty acids, all with varying degrees of success. Nonetheless, to date there is no reliable and practical intervention measure available to reduce colonisation of the broiler gut with Campylobacter. A possible way to reduce Campylobacter contamination in poultry is to develop new strategies at the primary production level. As a consequence, it has become necessary to develop alternatives such as beneficial microorganisms (probiotics). The use of probiotics can help to improve the natural defence of animals against pathogenic bacteria and is an effective approach for livestock to reduce bacterial contamination. This review summarises current on-farm control options to reduce the prevalence and colonisation of Campylobacter in poultry. The interaction between poultry welfare and Campylobacter colonisation is also discussed.
Libyan International Medical University Faculty of Basic Medical Science Mangment of Systemic Lupus Erythematous

Neuropsychiatric events are common in patients with systemic lupus erythematosus (SLE), but less than one-third of these events can be directly attributed to SLE. Increased generalized SLE disease activity or damage, previous or concurrent major neuropsychiatric SLE (NPSLE) events, and persistently positive moderate-to-high antiphospholipid antibody titers are established risk factors, and their presence could facilitate proper attribution to the disease itself. Diagnostic evaluation is guided by the presenting manifestation; MRI is used to visualize brain or spinal pathologies. For neuropsychiatric events believed to reflect an immune or inflammatory process, or when these events occur in the context of active generalized disease, evidence (primarily from uncontrolled studies) supports the use of glucocorticoids alone or in combination with immunosuppressive therapy. Antiplatelet and/or anticoagulation therapy is recommended for NPSLE manifestations related to antiphospholipid antibodies, especially for thrombotic cerebrovascular disease. For the future, we anticipate that novel biomarkers and advanced neuroimaging tests will better define the underlying pathologic mechanisms of SLE-related neuropsychiatric disease, and help guide therapeutic decisions.
Automatic Generation Control using Genetic Algorithm Based PID Controller

In this paper Automatic Generation Control (AGC) of a single-area thermal power plant without reheat turbine is introduced using a Proportional Integral Derivative (PID) controller. The gains of the controller are optimized using Genetic Algorithm (GA). The problem of tuning the PID controller is formulated as optimization problem with constraints on proportional, derivative and integral gains. The proposed algorithm uses Darwin’s law of natural selection and survival of the fittest to reach the optimal solution. The simulation results confirm the system’s ability to retain frequency while handling sudden load disturbances. The second part of the investigation includes robustness testing of the system against plant parameter variations. The results are verified and the system performance is found to be robust against parameter uncertainties
Enhanced Lung Cancer Detection using Deep Learning Algorithm

Lung cancer is more dangerous than any other cancer. Nowadays many people are affecting lung cancer because of their lifestyle and environmental conditions. The basic cause of lung cancer is smoking. Many steps are taken to avoid smoking but on the other way the cancer is affecting the people. In this paper, the Enhanced Deep Learning (EDL) based algorithm is introduced to detects cancer in lungs in various patients based on their symptoms. It is very important to detect the cancer in the earliers stages. The proposed system calculates the three parameters such as sensitivity, specificity and accuracy. Results show the performance of the proposed system.
Performance Characteristics of Various Converters for Non Linear System

Power Extraction from renewable energy sources plays a vital role in this century due to the depletion of non renewable energy sources, socio economic factors and expensive cost . Few examples of renewable energy sources are Solar, wind, Fuel cell and hydraulic forces. Compared to other resources solar energy leads to the best option because of the availability and less design complexity. Different converters are available for extracting the maximum power from the panel. In this paper solar panel voltage is extracted with the use of MPPT algorithm along with Boost, Buck and SEPIC converters and their performance is analyzed. Based on the performance analysis boost converter with PV panel is implemented along with MPPT algorithm. Using MATLAB Simulink 2018 environment PV panel and different types of converter are modeled and its characteristics are evaluated.
The Role of Corporate Governance on Performance of Companies Listed At the Nairobi Securities Exchange

Performance of firms concerns more researchers since a country’s economy is cushioned by better performing firms. Researchers across the world have attempted to investigate the linkage existing between performance and governance at the corporate level with evidence empirically supporting performance as a result of how firms are governed at corporate level. This study examined companies listed at NSE in the context of Kenya with argument that frauds of accounting nature among firms will well managed if governance at corporate level is effective because lack of effective governance mechanisms can lead to higher levels of frauds especially in accounting. The study majorly was guided by agency theory and Anglo-US model of Corporate Governance. A survey which is cross sectional and descriptive in nature was considered. Structured questionnaires were applied to get primary data from 66 firms listed at the NSE. The rate of return was at 75.76 percent andsimple analysis in a regression model tested the hypothesis. Governance at the corporate level influence performance in terms of financial indicators significantly and positively at NSE listed firms. Further performance measured by non-financial indicators was positively and significantly boosted by proper governance at corporate level among NSE firms. Policy makers should develop strategies to enhance effective corporate governance for the firms. For generalization purposes of the results future study should consider all companies for an extended time period.
Research on the Impact Mechanism of Environmentally Sensitive Areas on Corporate Environmental Responsibility——The Intermediary Role Based on Institutional Pressure

In China, with economic development and technological progress, people's awareness and demands for environmental protection are becoming stronger and stronger. Enterprises as the main source of power for economic growth bear the expectations and requirements of environmental protection from society. In recent years, although overall corporate social responsibility has shown a gradual upward trend, at the moment when environmental issues are receiving more attention, the implementation of environmental responsibility as one of the dimensions of corporate social responsibility is not optimistic. Various social surveys and research indications indicate that In practice, a considerable number of enterprises have not yet undertaken their own environmental responsibilities, and there are also phenomena such as false disclosure in enterprises that have fulfilled their environmental responsibilities. Existing research shows that geographical factors have an important impact on the performance of corporate social responsibility. In view of this, this article focuses on the implementation of corporate environmental responsibility in environmental governance. From the perspective of ecological civilization, environmental sensitive areas are used as the starting point, combined with institutional theory Stakeholder theory, in-depth analysis and combing the driving factors of corporate environmental responsibility. On this basis, through the comparative analysis of typical cases, it is found that the reason why environmentally sensitive areas have an impact on corporate environmental responsibility is mainly due to the intermediary role of institutional pressure between the two. The former's high quality requirements for the environment affect the surrounding interests The composition and attention of stakeholders, which in turn affect the intensity of institutional pressures required by companies within geographic boundaries to assume environmental responsibility, ultimately improve the performance of corporate environmental responsibility in the region and achieve a win-win situation between ecological governance and economic performance.
Approaches for Topic Modeling and Opinion Mining with Aspect Based Sentiment Classification using Machine Learning Approach

: Aspect is nothing but the component or attribute of the product; it can be also the customers feeling about the different features of a product. The ABSA (Aspect Based Sentimental Analysis) is a SA method that separates content into perspectives (properties or segments of an item and service), and afterward designates everyone an estimation level (positive, negative or unbiased). The large distinction between SA and ABSA is that the previous just distinguishes the feeling of full text, while the last breaks down every content to recognize different aspects and decide the relating sentiment for each one of them. ABSA can extract aspects (attribute, expression or component) and sentiments (opinion about aspects). Sentiment analysis (SA) plays very important role in analyzing and summarizing all the opinions. To identify the aspects of given target entities and the sentiment expressed towards each aspect this paper showcases a study on different approaches for topic modeling and opinion mining with system based on machine learning, which is strictly constrained and uses the training data as the only source of information.
Distribuição espacial de Aphis gossypii (Glover) (Hemiptera, Aphididae) e Bemisia tabaci (Gennadius) biótipo B (Hemiptera, Aleyrodidae) em algodoeiro Bt e não-Bt

The study of spatial distribution of the adults of Bemisia tabaci and the colonies of Aphis gossypii on Bt and non-Bt cotton crop is fundamental for improving the sampling techniques and revealing differences in the behavior of non-target species between both cultivars. So, this experiment aimed to investigate the spatial distribution pattern of those species on the conventional non-Bt cotton crop, compared to the Bt cultivar. The samplings took place in two areas of 5.000 m2 each, where it was done 14 evaluations counting adults of white-flies and colonies of aphids. The aggregation indexes (variance/mean rate, index of Morisita and Exponent k of the Negative Binomial Distribution) were calculated and accomplished the fitness tests of the individuals' numeric classes found and expected to the theoretical distributions of frequency (Poisson, Negative Binomial and Positive Binomial). Those analyses showed that in both cultivars, the spatial distribution of B. tabaci fitted to negative binomial distribution throughout the study period, indicating that the transgenic cultivar did not influence the pattern of aggregate distribution of this insect. With respect to the analysis for A. gossypii, the aggregation indexes showed aggregated distribution in both cultivars, but the distributions of frequency pointed to the occurrence of aggregate distribution only on conventional cotton, since there was no adjustment to the data on Bt crop. This indicates that Bt cotton has altered the aphids normal pattern of dispersion in the crop.
Data Driven Herb’s Product Recommendation Framework

: In this era, the burden of chronic disease is rapidly increasing worldwide. Also varieties of disease are on rise. This eventually makes the prediction of disease extremely vital. The main ideology is to predict the disease and recommend the medication by analyzing the symptoms provided by the user as an input. As Ensemble method improves the result by combining multiple models, this makes us use K-Nearest Neighbor, Naïve Bayes and Random Forest for disease prediction. This also focuses on the recommendation of Herbs’ products in accordance with the predicted disease.
Effect of container size on estimates of mortality and predation rates in experiments with macrozooplankton and larval fish

We investigated the effect of container size on the predation rate of the jellyfish Aurelia aurita on postemergent capelin (Mallotus villosus) larvae in large in situ cylindrical enclosures. Total depth of the enclosures varied between 1 and 9 m and yielded volumes that ranged from 0.26 to 6.35 m3. Instantaneous mortality rates of capelin larvae due to jellyfish predation varied inversely and nonlinearly with the volume of the enclosure. Over the range of container sizes used, mortality rates differed by one order of magnitude. Container volume explained 80% of the variance in mortality rates, while predator size and larval size accounted for 8.3 and 2.3% of the variability, respectively. Mortality rate was independent of the initial larval density within each container size. Differences in mortality rates among container sizes are explained by the observed differences in the vertical patchiness of larvae among various enclosure sizes. These findings indicate that experiments conducted in small containers.
Modelling Social Embodiment in Social Robotic Companions: using Tamagotchi & NAO

Social interactions with robots and agents have become increasingly popular as a way for humans to interact. To be able to provide these social interactions, the embodiment in particular social embodiment for the social agents are considered to be an important factor. In this paper, we introduce an experiment to measure the impor- tance of modelling of social embodiment in social agents. For which we decided to use Tamagotchi architecture in two different configurations as a virtual agent (Graphical user interface) and a physical robot (NAO robot). We then surveyed on interactions with these two different embodiment configurations using a questionnaire and a short interview. Which we then discussed in our results section, showing how modelling of social embodiment in social agents plays an important role in social interactions between humans androbots.
Enhancement of Pineapple Residue Composting by Food Waste Addition

Department of Biotechnology, Faculty of Chemical Engineering, Ho Chi Minh City University of Technology, Vietnam National University – Ho Chi Minh City (VNU-HCM), 268 Ly Thuong Kiet St., District 10, HCMC, Vietnam Department of Chemical Process Engineering and Equipment, Faculty of Chemical Engineering, Ho Chi Minh City University of Technology, Vietnam National University – Ho Chi Minh City (VNU-HCM), 268 Ly Thuong Kiet St., District 10, HCMC, Vietnam hoang.a. hoang@hcmut.edu. vn
AN EVOLUTIONARY ALGORITHM BASED TECHNIQUE TO DETERMINE RATIONAL APPROXIMATION OF FREQUENCY DOMAIN RESPONSES

The aim of this paper is to present an alternative methodology for obtaining rational functions that suitably approximate the frequency response of power system networks. Through this methodology, part of the system under analysis can be replaced by a Frequency Dependant Network Equivalent (FDNE), which simplifies system representation and makes possible the accurate evaluation of large power networks. The methodology is based on Evolutionary Algorithms (EAs). Basically, different set of values for the rational function parameters are simultaneously assessed. The EA suitably changes the values for the function parameters, decreasing the RMS error between the system’s original frequency response and the response provided by the rational function. The results obtained through the proposed methodology were compared with the ones obtained through the Vector Fitting methodology, which is the common approach used for solving similar problems.
Ornithol Sci 6: 67–78 (2007)

Few studies have examined the relative importance of habitat loss and fragmentation caused by structurally complex matrices such as plantations. We examined the effects of the loss and fragmentation of the original deciduous habitat (secondary deciduous broadleaf forest) caused by a larch plantation matrix on bird occurrences in deciduous habitats in both the winter and breeding seasons in Chikuma Highland, Nagano prefecture, central Japan. Birds were counted using the plot-count method in 33 (winter) and 51 (breeding) deciduous habitats with a range of surrounding habitat loss and fragmentation at a 1600-m scale. Three species groups, for which larch plantations are likely to function as low-quality matrices, were analyzed. Effects of landscape structure were found only for flycatchers, which were negatively affected by habitat fragmentation. Flycatchers frequently occurred in habitats surrounded by elongated habitat patches in which between-patch distances were short. This effect was significant after the confounding effects of habitat structure were removed. Because habitat fragmentation was more important than habitat loss, the destruction of habitat connectivity, i.e., isolation and contraction of habitat patches, may not be compensated by the amount of habitat and may primarily be considered in low-contrast landscapes.
Enhancement of Yolk Color in Raw and Boiled Egg Yolk with Lutein from Marigold Flower Meal and Marigold Flower Extract

The effects of non-saponified lutein from marigold flower meal (MFM) and saponified lutein from marigold flower extract (MFE) on chicken egg yolk coloration was evaluated. A total of 90 laying hens were randomly divided into 9 groups: the basal diet (0mg/kg lutein; control) was supplemented with 10, 20, 30, and 40mg/kg lutein from MFM or MFE. During the three-week feeding experiment period, birds had free access to feed and water, and feed consumption and egg production were recorded weekly. Five eggs per group were evaluated weekly for egg quality such as shell-breaking strength, shell thickness, shell ratio, albumen ratio, yolk ratio, yolk color, and Haugh units. The egg yolk color was visually examined using the Roche Yolk Color Fan. The egg yolk color was further examined for yolk color, yellow index, lightness (L*), redness (a*), yellowness (b*), ratio of redness to yellowness (a/b), chroma, and spectrum wavelength reflectance using a spectrophotometer, an objective method. Feed consumption, body weight, egg production, egg mass, and egg quality with the exception of egg yolk color were not affected significantly by the dietary treatments. Compared with the yolk color parameters of the control, those of the dietary treatment groups tended to be higher; and the 40mg/kg lutein from MFM group and the 20, 30, and 40mg/kg lutein from MFE groups were significantly increased (P<0.001). In two-way ANOVA, the visual and objective egg yolk colors, a* and a/b were improved by both the dietary lutein treatment (P<0.05) and the lutein supplementation levels (P<0.001). It was concluded that dietary lutein enhances egg yolk color at levels of approximately 30 to 40mg/kg, and that saponified lutein from MFE appears to be more effective in egg yolk color than non-saponified lutein from MFM.