Miracle-dz/UniFAR-FTUs huggingface dataset:
Macrocycles and Coordination Polymers Derived from Self-Complementary Tectons Based on N-Containing Boronic Acids

A series of N-containing boronic esters have been prepared by combination of 3-pyridineboronic acid (3-pyba), 4-pyridineboronic acid (4-pyba), and 5-isoquinolineboronic acid (5-iqba) with ethanol, 1,2-ethanediol, and 1,3-propanediol. The resulting self-complementary tectons (SCTs) assembled further through N → B bond formation to give one tetranuclear macrocyclic and four one-dimensional polymeric boron complexes: [(3-py)B(OEt)2]4 (2), [(3-py)B(OCH2CH2O)]n (3), [(4-py)B(OEt)2]n (4), [(5-iq)B(OCH2CH2O)]n (6), and [(5-iq)B(OCH2CH2CH2O)]n (7). In conjunction with the previously reported pentadecanuclear boroxine cage (1) and high-dimensional assemblies derived from pentaerythritol, [(4-py)B(OCH2)2C(CH2O)2B(4-py)]n·4nEtOH·nH2O·nC7H8 (5), and [(5-iq)B(OCH2)2C(CH2O)2B(5-iq)]n·nEtOH (8), it was shown that a single class of self-complementary boron-based tectons can give a varied series of finite and infinite supramolecular aggregates. A comparative structural characterization of boron complexes 2–4 and 6–7 by si.
The Structural Relationship Model of Indicators of Outstanding Leadership for Teachers under the Local Administrative Organizations

The objectives of this research were to: 1) Study the suitability of the indicators to be included in the model, 2) Test the consistency of the model developed from the theories and research studies’ empirical data, 3) Evaluate reliability value of the main components, the sub-components and other related indicators. The population used in the research was the teachers in the schools under the local administrative organization of Thailand. The multistage random sampling was used for the selection of 660 participants from a total population of 30,359 teachers across the country. The following results were observed: 1) All of the 52 indicators used in the research were appropriate according to the specified criteria, 2) The theoretical model was found to have been consistent with the empirical data. All of the statistical figures including; Relative Chi-Square, Root Mean Square Error of Approximation, Goodness-of-Fit Index, Adjusted Goodness-of-Fit Index, Comparative Fit Index, and Normed Fit Index: NFI, were found to have met with the specified criteria in both the first and the second confirmation factor analyzes, and 3) The primary element’s factor loading was between 0.73 to 1.48, which is higher than the criteria of 0.70, the sub-element’s factor loading was between 0.67 to 1.72 and the indicators weight was between 0.68 to 1.37, which is higher than the criteria of 0.30. These results indicate that the theoretical model developed in this research can be effectively used with construct validity for the development of the targeted samples in a research study.
Comparison of Different Image Processing Methods for Segregation of Peanut (Arachis hypogaea L.) Seeds Infected by Aflatoxin-Producing Fungi

Fungi such as Aspergillus flavus and Aspergillus parasiticus are molds infecting food and animal feed, are responsible for aflatoxin contamination, and cause a significant problem for human and animal health. The detection of aflatoxin and aflatoxigenic fungi on raw material is a major concern to protect health, secure food and feed, and preserve their value. The effectiveness of image processing, combined with computational techniques, has been investigated to detect and segregate peanut (Arachis hypogaea L.) seeds infected with an aflatoxin producing fungus. After inoculation with Aspergillus flavus, images of peanuts seeds were taken using various lighting sources (LED, UV, and fluorescent lights) on two backgrounds (black and white) at 0, 48, and 72 h after inoculation. Images were post-processed with three different machine learning tools: the artificial neural network (ANN), the support vector machine (SVM), and the adaptive neuro-fuzzy inference system (ANFIS) to detect the Aspergillus flavus growth on peanuts. The results of the study show that the combination of LED light and a white background with ANN had 99.7% accuracy in detecting fungal growth on peanuts 72 h from infection with Aspergillus. Additionally, UV lights and a black background with ANFIS achieve 99.9% accuracy in detecting fungal growth on peanuts 48 h after their infection with Aspergillus.
Glaucoma Quality of life-15 Questionnaire to assess The Functional Disability in Egyptian Glaucomatous Patients

Purpose : To assess and compare the functional disability in patients with primary open angle glaucoma (POAG) using the glaucoma quality of life-15 questionnaire (GQL-15) and to evaluate their quality of life. Methods : 175 patients with POAG and 175 subjects with age-and sex-matched (control group) were enrolled in this cross-sectional study. Glaucoma quality of Life−15 questionnaire was administered in local Egyptian language via interviews after doing standard tests for visual function for both groups. Results : The median GQL-15 score in the glaucoma cases (34) was significantly higher (indicating more functional disability) than the controls (17). All subscale scores also showed a regular rise in their value as the glaucoma increased in severity from mild to severe. There were visual disability in certain tasks related to glare and dark adaptation which appeared to be early affected during the course of glaucoma. Activities demanding peripheral vision, near and central vision and outdoor mobility affected later but were more significant with the progression of the disease. Conclusion: Glaucoma patients have many functional disabilities with challenges in performing many tasks which reflects on their independence and productivity. This knowledge can be helpful to learn the newly diagnosed and to increase the adherence to treatment aiming to guard against the disease progression; also it suggests adaptations to the patient’s environment for better quality of life.
How Important Is Institutional Quality to Lower Energy Utilization: An Analysis Using a Global Panel of Stable and Unstable Countries

Efforts to lower energy intensity increased initially as a result of rising fuel prices following the first and second oil shocks, which subsequently became serious owing to mounting evidence that fossil fuels are a major cause of climate change and global warming. Energy source is a key problem associated with climate change as oil and gas, and coal constitute major components of fossil fuels. However, the extant literature remains divided on the determinants of energy intensity. Hence, using panel annual data from 84 stable and unstable countries from 1980 to 2012, this paper tested the relationship between energy intensity, and trade, FDI, urbanization, industrialization, and institutional quality. FDI in particular showed a highly significant contribution towards lowering energy-intensity, as its coefficients were negative and highly significant at 1% in all three groups of countries. However, urbanization had no impact on energy-intensity levels in all three groups of countries, while industrialization and trade exacerbated energy intensity in the global panel of countries. Whereas trade showed no relationship with energy intensity among stable and unstable countries, industrialization worsened energy intensity among stable countries. Institutional quality had a highly significant (1%) and positive impact on reducing energy intensity in all three groups of countries.
An Analysis of Indonesian Farmer’s Financial Literacy

The uncertainty of income earned by farmers, namely crop failure with a very high risk, will cause financial problems in their families. The target or respondents of this study are farmers who live in Lahat Regency, South Sumatera. Initial findings indicate that the level of financial inclusion of farmers in the Lahat Regency is still quite low. The purpose of this study is to analyze the level of farmers' financial literacy, identify the components of farmers' financial literacy, and analyze the factors that affect the level of farmers' financial literacy. The research method applied is descriptive analysis and multiple regression. The analysis showed that most of the literate farmers were in the moderately literate category of 47.2 percent and the least of the farmers in the less literate category was 24.5 percent. The financial attitude component gave the largest contribution to the farmers' financial literacy index, which was 0.73. Besides, the factor affecting the level of financial literacy of farmers is education. The policy implication resulting from this research is the existence of a structured promotion and training of financial literacy for farmers by local governments. In addition, campaigning for the importance of being educated and inviting educated people to start running agricultural business activities.
The evolution of the football jersey – an institutional perspective

Abstract This paper explores the interaction of informal constraints on human behaviour by examining the evolution of English football jerseys. The jersey provides an excellent setting to demonstrate how informal constraints emerge from formal rules and shape human behaviour. Customs, approved norms and habits are all observed in this setting. The commercialisation of football in recent decades has resulted in these informal constraints, in many cases dating back over a century, co-existing with branding, goodwill and identity effects. Combined, these motivate clubs to maintain the status quo. As a result, club colours have remained remarkably resilient within a frequently changing landscape.
Investigations of Organizational Commitment of Healthcare Professionals in Terms of Personal and Business Factors

Organizational commitment plays a pivotal role in determining whether an employee will stay with the organization for a longer period of time and work passionately towards achieving the organization’s goal In this study, the organizational commitment perceptions of health sector employees have been compared based on demographic variables and job characteristics using a comparative correlational research design. The sample of this study consists of 397 employees working at different levels in a company operating in the Konya health sector. Personal Information Form and Organizational Commitment Scale have been used to collect research data. According to the findings of the study, it has been observed that the affective commitment of the participants was high, whereas other organizational commitment perceptions were moderate. Participants' perceptions of organizational commitment differ according to gender, age, professional seniority, position and working duration. In the light of these data, it is proposed that the institutions provide the necessary support and training in order to increase the organizational commitment of the employees.
Health Related Quality of Life of Children with Sickle Cell Anemia and Their Parents; Quantitative Study in Albaha; Saudi Arabia

Aims: To gain a better understanding of the quality of life (QoL) of children and impact of this disease on parents QoL. Study Design: Cross-sectional study. Place and Duration of Study: The study was conducted in King Fahd Hospital, Albaha city, Albaha, Saudi Arabia, between March2020 and February 2021. Methodology: We included 95 responses. Two different tools were used for the purpose of this study. PedsQL™ Sickle Cell Disease Module was used to measure health-related quality of life (HRQoL) in healthy children and adolescents and those with acute and chronic health conditions. Moreover, PedsQL™ Family Information Form was completed by caregivers. Median and interquartile range were used for numerical variables since they were skewed. Bivariate analyses were carried out using non-parametrical tests and Pearson correlation. The prediction of QoL was accomplished through multivariate analysis. Results: A total of (95) responses were analyzed. Female respondents were 52.6%. The age median was 12 (IQR=10-14). Mothers represented the most frequent informant 46.3% in this current study. Significant association was found between QoL and certain independent factors, some of which is parental level of education (P< .001) and marital support (P< .001). Conclusion: Sickle cell disease (SCD) is a major condition accounts for a huge burden on variable levels. This study reported that low QoL among children affected by SCD. Higher education and current marital status of the parents were significantly associated with high QoL in SCD patients. Number of workdays affected due to child health was significantly correlated with low QoL.
Cost-Effective User Allocation in 5G NOMA-Based Mobile Edge Computing Systems

Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations. App vendors like Uber and YouTube can rent computing resources and deploy latency-sensitive applications on edge servers for their users to access. Non-orthogonal multiple access (NOMA) is an emerging technique that facilitates the massive connectivity of 5G networks, further enhancing the capability of MEC. The edge user allocation (EUA) problem faces new challenges in 5G NOMA-based MEC systems. In this study, we investigate the EUA problem in a multi-cell multi-channel downlink power-domain NOMA-based MEC system. The main objective is to help mobile app vendors maximize their benefit by allocating maximum users to edge servers in a specific area at the lowest computing resource and transmit power costs. To this end, we introduce a decentralized game-theoretic approach to effectively select a channel and edge server for each user while fulfilling their resource and data rate requirements. We theoretically and experimentally evaluate our solution, which significantly outperforms various state-of-the-art and baseline approaches.
Facilitating thermal transport across Si/Ge interface via mass-graded interlayer: The role of elastic and inelastic phonon processes

Poor heat dissipation has become the bottleneck that limits the further development of electronics, which lies in the enhancement of interface thermal conductance (ITC). In this paper, the ITC and spectral characteristics of Si/Ge interfaces with mass-graded interlayers are studied through non-equilibrium molecular dynamics simulation. For Si/Ge interface with exponentially mass-graded interlayer, the ITC is 1.73 times larger than that of pure case. More interestingly, the ITC shows a non-monotonic dependence on the number of layers and a double scale behavior when the thickness of each layer increases. To clarify the underlying physical mechanism, spectral phonon transmission function is calculated, and ITC contributed by elastic and inelastic processes is quantified through the Landauer formula. It is revealed that the elastic ITC and inelastic ITC show quite different behaviors with each other when changing the thickness of each layer and number of layers, which is responsible for the abnormal results. The findings here emphasize the mutual control of elastic and inelastic phonon processes at interfaces.
Comparative study between outcome of noncemented and cemented total hip replacement

Hip replacement surgery is used when the hip joint is damaged and the patient in pain. There are many reasons for hip damage such as osteoarthritis, septic arthritis, rheumatoid arthritis, hip fracture, disorder that cause unusual bone growth etc. THR is one of the most successful and cost-effective of surgical procedures for hip replacement with the primary goals of pain relief and restoration of function. There are several types of methods used for total hip replacement, in this study we compared between cemented and noncemented THR. Cemented implants achieve stability from cement-bone mechanical interlock, once the polymethy lmethacrylate has cured. Cementless fixation relies on primary pressfit stability with long-term stability occurring secondary to endosteal microfractures at the time of preparation and subsequent bone on growth or ingrowth. Advocates of cemented implants cite the excellent and reliable longterm reported survivorship, whereas proponents of cementless fixation contend that this method is equally reliable and in fact superior in younger, high demand patients. Furthermore, cementless implants provide a broader range of options especially for the acetabulum where liner exchange may be required for postoperative instability; the commonest cause for early re-operation in ABSTRACT
Digital transformation success under Industry 4.0: a strategic guideline for manufacturing SMEs

PurposeThe digital transformation under Industry 4.0 is complex and resource-intensive, making a strategic digitalization guideline vital to small and medium-sized enterprises' success in the Industry 4.0 transition. The present study aims to provide manufacturing small and medium-sized enterprises (SMEs) with a guideline for digital transformation success under Industry 4.0. Design/methodology/approachThe study first performed a content-centric literature review to identify digital transformation success determinants. The study further implemented interpretive structural modeling to extract the order at which the success determinants should be present to facilitate the SMEs’ digital transformation success optimally. The interpretive model and interpretive logic knowledge base matrix were also used for developing the digital transformation guideline.FindingsEleven success determinants are vital to SMEs’ digital transformation efforts. For example, results revealed that external support for digitalization is the first step in ensuring digital transformation success among SMEs, while operations technology readiness is the most inaccessible success determinant.Research limitations/implicationsThe study highlights the degree of importance of the 11 success determinants identified, which magnifies each determinant's strategic priority based on its driving power and dependence power. Theorizing the dependent variable of “digital transformation success” and quantitatively measuring the extent to which each success determinant contributes to explaining “digital transformation success” offers an exciting opportunity for future research.Practical implicationsDigital transformation success phenomenon within the Industry 4.0 context is significantly different from the digitalization success concept within the traditional literature. The digital transformation under Industry 4.0 is immensely resource-intensive and complex. Smaller manufacturers must have specific capabilities such as change management and digitalization strategic planning capability to reach a certain degree of information, digital, operations and cyber maturity.Originality/valueThe digital transformation success guide developed in the study describes each success determinants' functionality in relation to other determinants and explains how they might contribute to the digital transformation success within the manufacturing sector. This guide enables smaller manufacturers to better understand the concept of manufacturing digital transformation under Industry 4.0 and devise robust strategies to steer their digital transformation process effectively.
Expanding the PGI certification scheme as a marketing tool in the olive oil industry: a perspective on consumer behavior

PurposeRecently, several regional protected geographical indications (PGI) have been introduced in Italy for extra virgin olive oil (EVOO) with the aim of coping with the substantial failure of protected designations of origin (PDO). This study aims to identify which characteristics consumers expect, in order to anticipate the market success.Design/methodology/approachIn this study, a survey has been used on a sample of consumers from Sicily, one of the first regions which recently developed a regional PGI for EVOO. Data have been analyzed with a rank-ordered logit model.FindingsResults yielded that consumers would accept this new product and their expectations correspond to a product with attributes such as: green color, not filtered, not with a sweet taste and with a known brand. A possible target can be represented by young men.Practical implicationsThe results obtained anticipate whether this product would be accepted and provides direct indications for producers who wish to enter the market with a PGI EVOO.Originality/valueThis work focuses on consumer behavior toward products that are specifically certified with a recently introduced PGI label, and they still are not so common on the market.
Do Analysts’ Social Ties Affect the Textual Information in Their Reports? Evidence from China

ABSTRACT We develop insights into how analysts’ social ties affect their objectivity and the information content of reports, based on quantitative measures of social ties and textual information content. Using a sample ranges from January 2006 to December 2016 in China, we show that with wide social ties to fund managers, analysts’ ability to burnish their reputation with informative reports and to achieve career success with optimistic stock ratings is enhanced. Further evidence indicates that the trade-off between reputation and career success is dynamic. Specifically, after being elected as New Fortune stars, analysts attach more importance on textual information and are less subjective on stock ratings. These findings are robust across various robustness tests. Overall, our evidence highlights the role of social ties in the information-dissemination process in China A-share stock markets from the perspective of analysts and fund managers.
The regulation of internet pornography: What a survey of under‐18s tells us about the necessity for and potential efficacy of emerging legislative approaches

In 2017, the UK Parliament passed an Act requiring legal pornographic websites to implement ‘robust’ age verification checks. Although the Act inspired lawmakers elsewhere to propose similar legislation, it was never enacted, in part because it did not cover social media platforms. Instead, the UK government has turned to its Online Harms White Paper—which does target social media platforms—to protect children from online pornography. There is, however, scant evidence on the media platforms and technologies children use to access pornography. To fill this knowledge gap, we conducted a survey of 16‐ and 17‐year‐olds in the United Kingdom. The results show that more (63%) had seen pornography on social media platforms than on pornographic websites (47%), suggesting the UK government was right to target such platforms in its latest proposals. However, pornography was much more frequently viewed on pornographic websites than on social media, showing how important the regulation of such sites remains. Furthermore, our finding that 46% of 16‐ and 17‐year‐olds had used a virtual private network or Tor browser adds weight to concerns that restrictions on legal internet pornography—such as age verification checks—imposed by a single country may be circumvented by those the restrictions are designed to protect.