Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Advertisement, Price and Brand Endorser on Consumer Brand Switching- A Study on Cosmetic Products: Evidence from Pakistan

In today’s fierce competition media landscape where it’s very challenging to shape consumers attitude and intentions and move them to next level of buying process, advertisers find it even more difficult and challenging to break through the clutter of competing advertisement. The advertising industry has experienced dynamic changes over the last several decades. The changes have been good in terms of Technology advancement, Medium and more methods to attract consumers and on Creativity. This study represents how creativity impacted advertising, also understanding the value of creativity in advertising through the review of various literatures. The importance of creativity factor in advertising has got wide recognition by many researchers, practitioner, but there is a miss of true & systematic research to define advertising creativity and how it relates to ad effectiveness. The review study discusses some campaigns that have left their strong impression on consumers. The presented review study tries to come up with some evidence of creativity by reviewing expert views, past literature in advertising, studied advertising campaign and marketing activities. The study discusses different forum on how creativity works, and what makes an ad to travel good or poorly. It summarized the value of creativity in advertising through Expert interviews, published material and related secondary data to understand the logic.
Micromechanical study of two-phase flow during air sparging

Air sparging (AS) is an in-situ soil/groundwater remediation technology, which involves the injection of pressurized air/oxygen through an air sparging well below the region of contamination. The efficiency of the in-situ sparging system is mainly controlled by the extent of contact between injected air and contaminated soil and pore fluid. Hence, characterizing the mechanisms governing movement of air through saturated porous media is therefore critical to the design of an effective cleanup treatment. However, in spite of the success of air sparging as a remediation technique for the clean-up of contaminated soils, to date, the fundamental mechanisms or the physics of air flow through porous media are not well understood. %%%% In this research, the micro-mechanics of air sparging are studied in order to understand the physical processes of air migration and air spatial occurring on the pore scale during air sparging. First, the void space in the porous medium is characterized by pore network consisting of connected pore bodies by bonds. Two approaches of generating 3D stochastic pore networks were proposed. The first methodology is to directly extract pore structure from a computer simulated packing of spheres. The second methodology is to generate an equivalent 3D pore network of porous media, in which the centers of voids are located in a regular lattice with constant pore center distance. Both algorithms were validated by comparing the predicted permeability of randomly packed spherical particles with published experimental data. The results showed that the predicted permeability values were in good agreement with those measured, confirming that the proposed algorithms can capture the main geometrical information and the topological information of random packing of spheres. %%%% Secondly, based on the developed network model, a rule-based dynamic two-phase flow model was developed in order to study the dynamic flow properties of air water two-phase flow during air sparging. The rules for phase movement and redistribution are devised to honor the imbibition and drainage physics at pore scale. The system is forward integrated in time using the Euler scheme. For each time step, the distribution of the phases leads to a recalculation of the effective viscosities in the network, capillary pressures across the menisci, and thus the coefficients in the equations for the pressure field. When the pressure field is known, the flow field follows automatically and the integration step can be performed. Finally, the developed dynamic model was used to study the rate-dependent drainage process during air sparging. Two types of numerical tests were performed: one is with one-step air injection pressure while the other one is with multistep air injection pressures. During the two types of numerical tests, the effect of the capillary number and geometrical properties of the network on the dynamic flow properties of air water two-phase flow including residual saturation, changing rate of water/air saturation, air and water spatial…
Polyurethane coatings based on chemically unmodified fractionated lignin

New lignin-based thermoset polyurethane (PU) coatings with high lignin content are presented in this work. These materials were obtained by extracting a sol fraction from a raw kraft lignin sample with the bioderived solvent 2-methyltetrahydrofuran (MeTHF), and subsequently directly cross-linking the MeTHF-soluble lignin fraction with a toluene diisocyanate (TDI)-based polyisocyanate at different weight ratios. A thorough characterization of the PU materials highlighted their improved thermal stability, better film forming ability and higher hydrophobic character compared with the un-cross-linked lignin precursor. Additionally, force–distance curve measurements by atomic force microscopy were employed to determine the elastic modulus of the PU materials. Finally, the lignin-based PU materials were found to exhibit high adhesion on different substrates, including glass, wood and metals. The results of this study demonstrate that the direct reaction of chemically unmodified fractionated lignin with polyisoc.
YOUNG ATHLETES’ PARENTS AS PART OF SPORTS AUDIENCE

Physical activity is exceptionally significant for a child’s regular growth and development and it should be practiced from the earliest age. The importance of physical activity is further accentuated in modern society’s living conditions. Technology is becoming increasingly present and children’s movement is brought to a minimum. Therefore, children are included in the system of sport, where competition occupies a central role. Parents frequently attend children’s training and competitions. The goal of this paper was to determine the influence of parents as part of the sports audience on children who practice sport. The authors wanted to ascertain the extent to which parents arrive at their child’s training and matches in order to provide support, in what measure they interfere with the coach’s work in training and matches and whether they punish Pannoniana, vol. IV, no. I (2020): 193-204 194 their child if it makes a mistake in a competition. Also, one of the tasks was to determine parents’ opinion on whether insulting referees from the stands is a form of violence and to establish to what extent they give themselves the right to argue with referees during a children’s game. Two hundred and fiftyfive parents of children from five different sports, all of whom completed a survey, participated in the research. It was established that parents, in large part, interfere with the coach’s work during training and matches, despite most of them replying that the coach is competent to do his job in a satisfactory manner. Regarding pressure that is put on children, a small percentage of parents punish their child if it makes a mistake. What should be a cause for concern is the reply of a large number of parents that insulting referees is not a form of violence and that they consider it a normal phenomenon, as well as the fact that one-third of the respondents had witnessed an argument between parents of opposing teams at the stands, an occurrence which is, unfortunately, becoming increasingly present at children competitions.
Aspect-Target Sentiment Classiﬁcation for Cyberbullying Detection

Cyberbullying detection is a challenging task to tackle, given the complex nature of the problem and the lack of Natural Language Processing (NLP) literature when it comes to addressing this issue. For a piece of text to be considered as cyberbullying, it not only has to be associated with a negative sentiment, but must also be targeted. This motivates the use of Aspect-Target Sentiment Classiﬁca-tion (ATSC), which evaluates the sentiment of a given piece with respect to an aspect-target in the text. In particular, we make use of the BERT-ADA trans-former architecture, ﬁne-tuned on the hatespeech-twitter dataset, to demonstrate its superior ability in detecting cyberbullying in comparison to other state-of-the-art sentiment analysis baselines. Additionally, we make use of Named Entity Recognition (NER) in order to extract aspect-targets from tweets that do not explicitly "@" username handles of other users. The code is available on GitHub: https://github.com/sharanramjee/cyberbullying-atsc
COVID-19 and Corporate Governance Performance: Beyond the Financial Metrics

Corporate governance and more broadly, the performance of corporate boards have traditional been measured using financial metrics. These financial metrics like Return on Investment (ROI), Return on Assets (ROA), Return on Equity (ROE), Earnings and Profitability Ratio (E and P) are ex-post measure of organizations wellbeing or lack thereof arising from corporate board activities. These financial metrics are, for all intents and purposes, self-serving and one-dimensional measure of corporate performance. They do not fully account for the other dimensions of organization responsibilities especially, the social, health and environmental benefits expected from organization’s activities. The COVID-19 and the changing organizational dynamics have made the case for corporate board’s performance to be assessed beyond the usual financial metrics. In this study, we provide a framework that accounts for the various dimensions of organization activities: finance, social and environmental; the so-called Triple-Bottom (TBL) approaches. A TBL-compliance metric was used to track the performance of selected manufacturing firms in Nigeria using a content analytical technique. The result of the analysis showed that majority of the firms performed remarkably well in areas of profitability and economic value creation but performed less satisfactorily in areas of social and environmental sustainability. On aggregate, the sampled firms committed less than 1 percent of their profit after tax on corporate social responsibility while less than 5 percent of the sampled firms scored above average on the TBL-adoption matrix. From the findings of the study we can conclude that manufacturing firms in Nigeria are yet to be fully committed to social and environmental sustainability. The study recommended for a regulatory re-jig away from the usual mandatory declaration of commitment to concrete actions based on measurable indicators on social and environmental sustainability compliance.
AN ASSESSMENT OF SUSTAINABILITY DISCLOSURES IN OIL AND GAS LISTED COMPANIES IN NIGERIA

The paper aims to evaluate the extent of sustainability disclosure in the annual report’s oil and gas industries. The study retrieves secondary data on sustainability disclosure for 10 years (2010 - 2019) from eight oil and gas industries listed in the Nigerian stock exchange through a desktop approach and content analysis methodology. Content analysis of the sustainability disclosure is to identify items of sustainability disclosed in the annual reports. The paper assesses the extent of disclosure by adopting the global reporting initiative’s scoring index. Findings from the analysis indicate a very lowlevel climate change and environmental pollution disclosure. Only 13.8% of the companies disclosed their impact on climate change and environmental pollution. On the contrary, all the companies revealed their community investment, which this paper regards as legitimizing smokescreen ecological pollution. The paper contributes to the literature by connecting the legitimacy theory to the decoying sustainability disclosure of oil and gas companies in Nigeria. In conclusion, the study recommends more stringent sustainability disclosure policies for the oil and gas to provide more information for environmental and climate change advocates and investors in censuring the companies, which might instill improved environmental compliance.
Sigma Metrics: A Valuable Tool for Evaluating the Performance of Internal Quality Control in Laboratory

Abstract Background Six Sigma is a widely accepted quality management system that provides an objective assessment of analytical methods and instrumentation. Six Sigma scale typically runs from 0 to 6, with sigma value above 6 being considered adequate and 3 sigma being considered the minimal acceptable performance for a process. Methodology Sigma metrics of 10 biochemistry parameters, namely glucose, triglycerides, high-density lipoprotein (HDL), albumin, direct bilirubin, alanine transaminase, aspartate transaminase, urea nitrogen, creatinine and uric acid, and hematology parameters such as hemoglobin (Hb), total leucocyte count (TLC), packed cell volume (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and platelet were calculated by analyzing internal quality control (IQC) data of 3 months (June–August 2019). Results Sigma value was found to be > 6 for triglyceride, HDL, Hb, TLC, and MCH, signifying excellent results and no further modification with respect to IQC. Sigma value was between 3 and 6 for glucose, albumin, creatinine, uric acid, PCV, and MCHC, implying the requirement of improvement in quality control (QC) processes. Sigma value of < 3 was seen in AST, ALT, direct bilirubin, urea nitrogen, platelet, and MCV, signifying suboptimal performance. Discussion Six Sigma provides a more quantitative framework for evaluating process performance with evidence for process improvement and describes how many sigmas fit within the tolerance limits. Thus, for parameters with sigma value < 3, duplicate testing of the sample along with three QCs three times a day may be used along with stringent Westgard rules for rejecting a run. Conclusion Sigma metrics help assess analytical methodologies and augment laboratory performance.
Attitudes of education and rehabilitation students towards individuals with intellectual disabilities

The attitudes of education and rehabilitation students towards people with intellectual disabilities are very important, because they aim to be future professionals who will provide educational and rehabilitation treatment to these people, as well as advocates for their rights and needs. This study aimed to analyse the attitudes of students towards people with intellectual disabilities and to determine whether their attitudes differed based on self-assessments and sources of knowledge about intellectual disabilities, ways of getting to know a person with intellectual disabilities, and number of years of education. The study involved 100 students undergoing their first cycle of studies at the Faculty for Special Education and Rehabilitation, University of Tuzla. The Mental Retardation Attitude Inventory-Revised (MRAI-R) and a general questionnaire were used in this study. The results show that students express positive attitudes towards people with intellectual disabilities, they are positive about educational integration of these people, and respect their rights. They do not express to need to socially distance from them and do not attribute unfavourable characteristics to these people. There were no differences in attitudes based on self-assessments of knowledge and the sources of knowledge about intellectual disabilities, or the way in which they got to know a person with intellectual disabilities. There was a significant difference in attitudes based on the number of years of education: fourth-year students were observed to express the highest degree of positive attitudes towards people with intellectual disabilities globally and towards the integration of these people in society, and they expressed the lowest level of social distance. Given the small sample of research subjects, as well as the fact that the study involved students of one education and rehabilitation faculty. in Bosnia and Herzegovina, the results obtained and the conclusions derived from them should be considered with caution. Future research should include a larger sample of education and rehabilitation students to verify the results obtained in this study.
Brain connectivity alterations during sleep by closed-loop transcranial neurostimulation predict metamemory sensitivity

Abstract Metamemory involves the ability to correctly judge the accuracy of our memories. The retrieval of memories can be improved using transcranial electrical stimulation (tES) during sleep, but evidence for improvements to metamemory sensitivity is limited. Applying tES can enhance sleep-dependent memory consolidation, which along with metamemory requires the coordination of activity across distributed neural systems, suggesting that examining functional connectivity is important for understanding these processes. Nevertheless, little research has examined how functional connectivity modulations relate to overnight changes in metamemory sensitivity. Here, we developed a closed-loop short-duration tES method, time-locked to up-states of ongoing slow-wave oscillations, to cue specific memory replays in humans. We measured electroencephalographic (EEG) coherence changes following stimulation pulses, and characterized network alterations with graph theoretic metrics. Using machine learning techniques, we show that pulsed tES elicited network changes in multiple frequency bands, including increased connectivity in the theta band and increased efficiency in the spindle band. Additionally, stimulation-induced changes in beta-band path length were predictive of overnight changes in metamemory sensitivity. These findings add new insights into the growing literature investigating increases in memory performance through brain stimulation during sleep, and highlight the importance of examining functional connectivity to explain its effects.
Harmonically Convex Fuzzy-Interval-Valued Functions and Fuzzy-Interval Riemann-Liouville Fractional Integral Inequalities

It is well known that the concept of convexity establishes strong relationship with integral inequality for single-valued and interval-valued function. The single-valued function and interval-valued function both are special cases of fuzzy interval-valued function. The aim of this paper is to introduce a new class of convex fuzzy interval-valued functions, which is called harmonically convex fuzzy interval-valued functions (harmonically convex fuzzy-IVFs) by means of fuzzy order relation and to investigate this new class via fuzzy-interval Riemann–Liouville fractional operator. With the help of fuzzy order relation and fuzzyinterval Riemann–Liouville fractional, we derive some integrals inequalities of Hermite–Hadamard (H-H) type and Hermite– Hadamard–Fejér (H-H Fejér) type as well as some product inequities for harmonically convex fuzzy-IVFs. Our results represent a significant improvement and refinement of the known results. We hope that these interesting outcomes may open a new direction for fuzzy optimization, modeling and interval-valued function.
Agronomic yield of tomato supplemented with Fe, Cu and Zn microelements

The tomato is one of the most important vegetables worldwide, so knowing the management of nutrition and its interaction in agronomic performance is important. The experiment was carried out in a low-tech greenhouse, of the Autonomous Agrarian University Antonio Narro with the objective of determining the supplementary effect in different concentrations of the Fe, Cu and Zn microelements on the agronomic yield of the tomato crop. Three factors were evaluated that consisted of the supplementary applications of fertilizers based on Fe, Cu and Zn and two levels of concentration for each case, in addition to the control treatment (normal dose of the Steiner nutrient solution). The treatments were evaluated by a completely randomized design with 3 x 2 factorial arrangement, with 16 repetitions per treatment. The low doses of Zn exceeded the control 27.3% in the variable vitamin C, while, in the total soluble solids, leaf area (AF), leaf area ratio (RAF) and specific leaf area (AFE) the high levels of Fe exceeded to the control in 16.4%, 138%, 112% and 44%, respectively; however, in yield the high doses of Cu exceeded the control 36%.
The Effects of Self-Management in COPD Patients at Community Healthcare Centers: A Randomized Controlled Trial

Objectives: To test the effects of self-management for COPD patients in improvement of exercise capacity, health-related quality of life (HRQoL), and self-efficacy. Methods: A randomized controlled trial was used in the study. Patients with COPD meeting inclusion criterion were recruited from three community healthcare centers. 224 eligible COPD patients were randomly to either self-management (SM) group or usual care (UC) group. Patients in SM group received SM training and practice, those in UC group received the usual care. Outcomes assessment included exercise capacity, HRQoL, self-efficacy. Data collection was conducted at baseline, 3 and 6-month post-intervention. 1.3 Results: COPD patients revealed the statistical improvements in walking distance, HRQoL, self-efficacy in SM group in comparison with individuals in UC group over 6 months intervention. The significant group × time interactions were found in walking distance and HRQoL in SM group, showing sustaining enhancements in two variables over 6-month SM. Conclusion: The self-management for COPD patients is effective and feasible in improvement of exercise capacity and HRQoL at community healthcare centers in China. The sustaining effects of self-management for COPD patients need to be confirmed using follow-up design in future study. *Corresponding author: Chunhua, School of Nursing, Guangzhou Medical University, Guangdong, 195 Dongfengxi Road, Guangzhou-510180, P.R. China, Tel: +86 20 81340031; E-mail: mawinter@126.com Received September 16, 2019; Accepted November 25, 2019; Published December 02, 2019 Citation: Ma C (2019) The Effects of Self-Management in COPD Patients at Community Healthcare Centers: A Randomized Controlled Trial. J Nurs Care 8: 497. Copyright: © 2019 Ma C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Removing the orientational degeneracy of the TS defect in 4H–SiC by electric fields and strain

We present a photoluminescence (PL) study of the recently discovered TS defect in 4H silicon carbide. It investigates the influence of static electric fields and local strain on the spectral properties by means of low temperature (≈4 K) ensemble measurements. Upon application of static electric fields exerted by graphene electrodes, line splitting patterns are observed, which are investigated for four different angles of the electric field with respect to the principal crystallographic axes. More detailed information can be gained when additionally the excitation polarization angle is systematically varied. Altogether, the data allow for extracting the direction of the associated electric dipole moments, revealing three distinct orientations of the underlying TS defect inside the crystal’s basal plane. We also present three so far unreported PL lines (836.7 nm, 889.7 nm, 950.0 nm) as candidates for out-of-plane oriented counterparts of the TS lines. Similar to symmetry breaking by the electric field applied, strain can reduce the local symmetry. We investigate strain-induced line splitting patterns that also yield a threefold directedness of the TS lines in accordance with the Stark effect measurements. The response to both electrical and strain fields is remarkably strong, leading to line shifts of ±12 meV of the TS1 line. Combining our findings, we can narrow down possible geometries of the TS defect.