Miracle-dz/UniFAR-FTUs huggingface dataset:
OPINION LEADERS IN INFLUENCE MARKETING AS INNOVATIVE INSTRUMENT OF BRAND PROMOTION AND DIGITALIZATION

In article it is investigated the modern instrument to promoting the goods and services based on involvement of famous people to brand’s advertizing. Possible advantages and disadvantages of using this tool are analysed. Opinion leaders types, recommendations for their searching and cooperating, the address purposes to promoting through the opinion leaders are also designated. The scientific novelty consists of the system researching the essence, features, advantages and disadvantages during the work with opinion leaders at promoting to brands and the recommendations for prevention of problems in work. The relevance of this research is defined by the fact that at the present stage of the developed consumption it is harder and harder to win consumer attention, as demands emergence of the new marketing methods and tools directed to individual approach to consumers. One of such innovations is promotion of goods and services through opinion leaders. Such approach is based on trust of the consumer to the media personality, as opposed to traditional advertizing that is broadcast on wider target audience.
A theoretical investigation of chromaticity

Some general results are derived on the chromatic properties of diffraction images for arbitrary wavefront errors. Although the theoretical results are probably of limited practical use, they are nevertheless important for understanding the behaviour of actual centroiding algorithms in real optical systems. The main results are: (1) the centre-of-gravity (CoG) of the diffraction image can only be defined as a mathematical limit, and in practice cannot be computed to reasonable accuracy and stability in presence of noise; (2) for arbitrary wavefront errors, the limiting CoG is independent of wavelength and thus without chromaticity; (3) practically useful centroiding algorithms exhibit chromatic behaviour which depends strongly on the details of the algorithm and wavefront errors. Certain limiting behaviours are identified and explained.
External Environmental Analysis in Strategic Planning for The Development of The Quality of Educational Resources in Madrasah Aliyah Bandar Lampung City

Increasing the resources of teachers is very important because teachers are the engine of education. Efforts to increase teacher resources require a well-planned and well-planned strategic plan in order to achieve optimal goals. In order for planning to increase teacher resources to be effective and efficient, it requires an analysis of the external environment. Through this analysis of the external environment, opportunities and threats will be identified as a basis for preparing plans to increase teacher resources. This study uses a qualitative approach which aims to analyze the external environment in formulating a strategic plan for improving the quality of educational resources at Madrasah Aliyah in Bandar Lampung. The results of this study revealed that there was a clear legal basis; technological support; Economic situation; organization of teachers; colleges of teachers; government support. By analyzing the external environment, there are opportunities and threats seen from the support aspect, the employee aspect and the competitor aspect. The recommendations made are necessary and important for carrying out an analysis of the external environment in order to increase the resources of teachers in a more effective and efficient manner.
Variable particle size distributions reduce the sensitivity of global export flux to climate change

Abstract. Recent earth system models predict a 10 %–20 % decrease in particulate organic carbon export from the surface ocean by the end of the 21st century due to global climate change. This decline is mainly caused by increased stratification of the upper ocean, resulting in reduced shallow subsurface nutrient concentrations and a slower supply of nutrients to the surface euphotic zone in low latitudes. These predictions, however, do not typically account for associated changes in remineralization depths driven by sinking-particle size. Here we combine satellite-derived export and particle size maps with a simple 3-D global biogeochemical model that resolves dynamic particle size distributions to investigate how shifts in particle size may buffer or amplify predicted changes in surface nutrient supply and therefore export production. We show that higher export rates are empirically correlated with larger sinking particles and presumably larger phytoplankton, particularly in tropical and subtropical regions. Incorporating these empirical relationships into our global model shows that as circulation slows, a decrease in export is associated with a shift towards smaller particles, which sink more slowly and are thus remineralized shallower. This shift towards shallower remineralization in turn leads to greater recycling of nutrients in the upper water column and thus faster nutrient recirculation into the euphotic zone. The end result is a boost in productivity and export that counteracts the initial circulation-driven decreases. This negative feedback mechanism (termed the particle-size–remineralization feedback) slows export decline over the next century by ∼ 14 % globally (from −0.29 to −0.25 GtC yr−1) and by ∼ 20 % in the tropical and subtropical oceans, where export decreases are currently predicted to be greatest. Our findings suggest that to more accurately predict changes in biological pump strength under a warming climate, earth system models should include dynamic particle-size-dependent remineralization depths.
RDF Graph Partitioning: Techniques and Empirical Evaluation

Over the past few years, we have witnessed that the RDF data sources, both in numbers and volume have grown enormously. As the RDF datasets gets bigger, system’s storage capacity becomes vulnerable and the need to improve the scalability of RDF storage and querying solutions arises. Partitioning of the dataset is one solution to this problem. There are various graph partitioning techniques exist. However, it is difﬁcult to choose the most suitable (in terms of query performance) partitioning for a given RDF graph and application. To the best of our knowledge, there is no detailed empirical evaluation exists to evaluate the performance of these techniques. This paper presents an empirical evaluation of RDF graph partitioning techniques by using real-world datasets and real-world benchmark queries selected using the FEASIBLE benchmark generation framework. We evaluate the selected RDF graph partitioning techniques in terms of query runtime performances, partitioning time and partitioning imbalance. In addition, we also compare their performance with centralized storage solutions, i.e., no-partitioning at all. Our results show that the centralized storage of the complete datasets (no-partitioning) generally lead to better query runtime performance as compared to their partitioning. However, for speciﬁc cases the performance is improved with partitioning as compared to centralized solution. Hence, the general graph partitioning techniques may not lead to better performance when implied to RDF graphs. Therefore, clustered RDF storage solutions should take into account the properties of RDF and Linked Data as well as the expressive features of SPARQL queries when partitioning the given dataset among multiple data nodes.
A Scalable Two-Hop Multi-Sink Wireless Sensor Network for Data Collection in Large-Scale Smart Manufacturing Facilities

In industrial fields, wireless sensor networks have been massively deployed for the pur-pose of data collection. For the various application scenarios of smart manufacturing in Industry 4.0, versatile production tasks demand dynamic features both in production lines and manufacturing processes. Therefore, the design and performance of the corresponding data collection mechanisms are facing unprecedented challenges. In this work, we propose a unified data description and management framework. This framework possesses high flexibility that it is able to identify an unknown data type and accord an adequate description. Besides, the scalability of this framework enables the provision of handy interfaces for the exploitation of stored data. Then, we develop two network connectivity models in one dimension and two dimensions. These two models greatly facilitate the measurement of the level of connectivity for a wireless sensor network. At last, we elaborate a two-hop multi-sink routing scheme to alleviate the flooding problem. This scheme contains a novel r-Kruskal algorithm for the sink nodes and an efficient two-hop routing method for the whole network. The flooding effect can be neatly controlled with the two-hop scheme. Extensive experiments are conducted to evaluate our proposal. Simulation results show that our model has excellent adaptability to the scale of the network and possesses satisfactory performance in terms of both message overhead and data availability.
DOES CAPITAL STRUCTURE IMPACT ON FINANCIAL PERFORMANCE: EVIDENCE FROM INDIA

India is one of the emerging markets among the global market, then it requires appropriate administration of capital structure. The paper investigates the impact of capital structure on financial performance of listed on Bombay Stock Exchange (BSE) 100 of Indian manufacturing companies over the research period 2014-19. The study applied econometric models for panel data analysis and used pooled OLS estimation, Fixed effect, and Random effect Methodology along with the Hausman test and Ramsey RESET. This research investigated the company’s performance by four accounting measures namely: Return on Equity (ROE), Return on Assets (ROA), Earnings per share (EPS) and Tobin’s Q. This research explores the relationship either optimistic or pessimistic amongst capital structure and the financial performance. Employed Pearson’s correlation and regression techniques, notified that there is a negative relationship amongst STDR, LTDR and ROE. Moreover, research investigated a significant negative relationship amongst capital structure variables as LTDR, TDR with the financial performance measured by ROA, EPS, and Tobin’s Q. However, the results revealed that long term debts and total debts decrease the financial performance, while short term debts facilitate to increase the financial performance.
Running head: LEARNING FROM GESTURE IN CHILDREN AND APES 1 Learning novel skills from iconic gestures: A developmental and evolutionary perspective

Cumulative cultural learning has been argued to rely on high fidelity copying of others’ actions. Iconic gestures of actions have no physical effect on objects in the world but merely represent actions that would have an effect. Learning from iconic gestures thus requires paying close attention to the teacher’s precise bodily movements – a prerequisite for high fidelity copying. Three studies investigated whether 2and 3-year-old children (N=122) and great apes (N=36) learn novel skills from iconic gestures. When faced with a novel apparatus, participants either watched an experimenter perform an iconic gesture depicting the action necessary to open the apparatus or a gesture depicting a different action. Children, but not great apes, profited from iconic gestures, with older children doing so to a larger extent. These results suggest that high fidelity copying abilities are firmly in place in humans by at least three years of age.
GROWTH CURVES MODELS IN TWO LINES OF JAPANESE QUAIL SELECTED FOR HIGH BODY WEIGHT

This study was carried out at the Poultry farm of the Agricultural Experiments and Research Center, Faculty of Agriculture, Fayoum University. A total number of 598 Japanese quail chicks from the same hatch at the eighth generations of selection for high body weight at 28 days of age (BW28) were used to draw the growth curves for two lines using Gompertz, Richards and Logistic growth functions. Line significantly affected all studied body weights (BWs) except BW at hatch favoring selected line. Males had significantly higher BW7 and BW14 than females which had significantly higher BW42. The selected line had the highest asymptotic weight parameter (β0) and relative growth rate (β2) values than the control line for both sexes. The selection program has affected clearly on increasing body weight and growth pattern in the selected line compared to the control line. The β2 values were higher in males under all models indicting that male birds have grown faster than females and reached earlier their weight at inflection point (IPW) and β0. Regardless of growth model, the selected line had higher age at inflection point (IPT) and IPW values than the control line in both sexes. Females had higher IPT and IPW values than males reflecting that females reached mature weight after males. Selection for high BW28 modifies all studied growth curves and alter their parameters in both sexes favoring the selected line. Also, sexual dimorphism had a pronounced effect on studied growth curves. All studied models have considerably high and similar coefficient of determination (R 2 ) values (close to 1) which ranged from 0.9938 to 0.9995. Gompertz was the best model to describe the growth curve of females and males in both lines which had the lowest AIC, BIC, Mean square error (MSE) values and the highest R 2 value.
482-488-Iqbal A.pmd

Bacterial mediated Silver nanoparticles is considered as an emerging Ecofriendly approach to eradicate human pathogens. This paper aims to provide the biological approach for the synthesis of silver nanoparticles from indigenously isolated bacteria. This study will be beneficial to control the nosocomial infections triggered by MRSA (Methicillin-resistant Staphylococcus aureus). The current study is the extracellular synthesis of silver nanoparticles by using the cell free filtrate of bacterial strains isolated from the soil. The optimization study was also carried out to obtain the maximum production of silver nanoparticles. Nanoparticles were confirmed and characterized by UV-Vis spectroscopy and Transmission Electron Microscopy (TEM) having the plasmon resonance peak between 420-450nm with 10-60nm in size range and most were spherical in shape. Synthesized silver nanoparticles showed a potential antibacterial activity against MRSA (Methicillin Resistant Staphylococcus aureus) in-vitro study. This is the green approach for the production of AgNPs, as there was no previous work done on the synthesis of silver nanoparticles by bacteria in this region of Southern Punjab, Pakistan and these nanoparticles can be used to treat nosocomial infection. These silver nanoparticles can be used in effective disease management as antimicrobial agent.
Changes in liver function in patients with covid-19 and the demographics of the disease in a mid-sized city of Turkey: A retrospective analysis

Objective: To define the clinical characteristics of patients hospitalized with COVID-19 in ICU and ward and to evaluate the significance of liver function test results. A new disease caused by SARS-CoV-2 has been devastating the world affecting millions of patients worldwide and leading the significant mortality and morbidity. Material and Methods: The demographic features of a cohort of 125 hospitalized patients between March 2020 and May 2020 were recorded. The clinical characteristics, laboratory findings, and mortality rates were analyzed. Results: A total of 125 patients hospitalized for COVID-19 diagnosis where 113 (90.4%) were followed-up in the ward and 12 (9.6%) were in ICU were included in the study. The mean age of the patients was 44.05±16.95 and 88 (70.4%) of the patients were male. The most common symptoms were in the following order: cough in 80 patients (64%), dyspnea in 40 (32%) and fever in 33 (26.4%). The leukocyte and neutrophil counts were significantly higher in ICU patients with COVID-19 compared to patients in the ward (p=0.002, p<0.05; respectively). The CRP and D-Dimer levels were found elevated in ICU patients with COVID-19 than in the ward (p<0.05; p<0.05, respectively). The AST level of patients with COVID-19 in ICU was significantly heightened than patients in the ward. Conclusion: The present study revealed that patients with elevated AST level were at great risk of progressing to severe disease those require close monitoring.
Exploring the Challenges Concerning Deep Learning in SPOCs: a Case Study in a University in China

With the widespread popularity of E-learning in higher education, a small private online course(short for SPOC)generally becomes an increasingly hot spot of educational reform aiming for boosting the quality of higher education in China. The purpose of this study is to explore the challenges that teachers are faced with when they are conducting small private online courses. The design method used in this study involved a qualitative research methods that included online semi-structured interviews and in-depth interviews, carrying out a case study among a group of teachers in a university in China. The university has implemented the SPOCs for only 3 years to face with educational reform. The results indicate that there are four main challenges that were found: the challenge in scientific design of teaching activities, the challenge in better exploring students indeed need, the challenge in the interaction between teachers and students and the challenge in awareness of continuous innovation in online teaching. As a consequence of the challenges found, the teachers felt a need for professional development support. The results may help teachers determine what to take into account while designing and teaching SPOCs aimed at deep learning.
Seasonal Patterns, and Ambient PM0.1 Emission Sources in the Hokuriku Region in Japan

Size fractionated airborne particulates including PM0.1 were simultaneously monitored at three different sites in the Hokuriku region of Japan. These were Kanazawa, Suzu and Toyama. Research was conducted over a three-year period between 2014 and 2016 in order to collect information concerning the PM status and related seasonal patterns. Possible local emission sources of PM0.1 and the influence of long-range transportation are discussed in relation to mass concentration and diagnostic parameters defined by particle-bound carbonaceous components such as organic and elemental carbon, and their ratios. The influence of trans-boundary air mass transport from outside Japan is also discussed based on PM0.1 characteristics and air mass trajectory analyses. The seasonal behavior for PM concentrations were similar between sites reflecting similar meteorological characteristics. Due to larger numbers of emission sources, the PM at the Toyama site was the largest between the three sites while at the Kanazawa site, precipitation in the spring and the summer was higher than in the autumn and winter seasons and this may have resulted in a decrease in PM levels. The concentration and influence of secondary organic carbon on the PM0.1 carbon content were largest at the Toyama site. The Py-OC/O4 ratio was consistent with increases in the number of hotspots in the spring and autumn. Carbonaceous components in the PM0.1 fraction could be largely explained by local emission sources. However, explaining the influence of the trans-boundary transportation of air pollutants only by the behavior of carbonaceous components in PM0.1 may not be sufficient, and a more detailed discussion of various chemicals in different sizes of particles is needed.
Sleep-Related Eating Disorder and Nocturnal Eating Syndrome

Eating and sleeping are vital functions of human life. They reciprocally influence each other in both quality and quantity. Nocturnal eating syndrome (NES) and sleep-related eating disorder (SRED) are two distinct diseases that share symptomatology of an abnormal association between the timing of eating and sleep. NES is represented by purging, a non-controllable manner of eating in the evening before sleep, followed by morning anorexia. SRED is a chronic condition showing eating episodes after sleep onset with partial to complete amnesia. Terminology was used confusedly until the third edition of the International Classification of Sleep Disorders, which defined SRED in the parasomnia section. Unlike NES, SRED usually does not respond to psychotherapy but to medication, most promisingly, to topiramate. Both are related to weight control problems, leading to obesity or excessive preoccupation with weight control issues. Sleep Med Res 2020;11(2):65-69
Analysis of the use of the UTAUT model for modeling the information technology acceptance process

The article is devoted to the issues of UTAUT models, which are currently the most commonly used tools of IT acceptance assessment. The aim of the article was to characterize the structure and stages of evolution of the above-mentioned models, to analyze the practical use of these models and to perform a bibliometric analysis of publications on UTAUT. The method of literature analysis and the SciVal Scopus and Google Trends tools were used to analyze UTAUT content search trend statistics. The described models are useful for testing technology acceptance by users with different characteristics in different organizations. The flexibility of the models in terms of extending and modifying them for the needs of various areas of IT technology implementation was demonstrated.
AN INTRUSION DETECTION AND PROTECTION SYSTEM BY USING DATA MINING FORENSIC TECHNIQUE

-Currently, most PC frameworks use client IDs and passwords as the login examples to verify clients. Be that as it may, numerous individuals share their login designs with collaborators and demand these colleagues to help co-assignments, consequently making the example as one of the weakest purposes of PC security. Insider assailants, the legitimate clients of a framework who assault the framework inside, are difficult to recognize since most interruption location frameworks and firewalls distinguish and segregate pernicious practices propelled from the outside universe of the framework as it were. Moreover, a few investigations asserted that breaking down framework calls (SCs) produced by directions can recognize these directions, with which to precisely distinguish assaults, and assault designs are the highlights of an assault. In this way, a security framework, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to identify insider assaults at SC level by utilizing information mining and scientific procedures. The IIDPS makes clients' close to home profiles to monitor clients' utilization propensity. As their forensic features and determines whether a valid login user is the account holder or not by comparing his/her current computer usage behaviours with the patterns collected in the account holder’s personal profile.