Miracle-dz/UniFAR-FTUs huggingface dataset:
A Story Conveyed for Emerging Economies: The Transitivity Effects of Subsidy, R&D, and Innovation Within Manufacturing Industries

Presently, research and development (R&D) and innovation have been discussed in diverse ways. However, the nexus of subsidy was relatively unexplored in emerging economies. Furthermore, the effects of age are observed to be inconclusive. Considering 1272 selected Chinese manufacturing firms over the period 2007–2017, we employ fixed effect models to examine the effects of Subsidy on R&D and innovation and whether age was a moderating factor. Consistent with the sandwich theoretical proposition, this article found that there exists a significantly transitive relationship between government subsidy, R&D, and innovation. Whereas young firms perform better in the short-term, state-owned firms outweigh the private ones in performance. Subsequently, age alternatively moderates the R&D and innovation relationship from the perspective of subsidy. Though subsidy is a short-term determinant of R&D, it has a long-term relationship with innovation. In contrast, R&D and innovation have short-term effects based on lag computations. Overall, our findings suggest that government subsidy plays a crucial role in R&D and innovation for emerging markets. We discuss our results within the theoretical frameworks of sandwich, the economics of subsidy, and behavioral theory of R&D.
Development of an Automatic Functional Movement Screening System with Inertial Measurement Unit Sensors

Background: In this study, an automatic scoring system for the functional movement screen (FMS) was developed. Methods: Thirty healthy adults fitted with full-body inertial measurement unit sensors completed six FMS exercises. The system recorded kinematics data, and a professional athletic trainer graded each participant. To reduce the number of input variables for the predictive model, ordinal logistic regression was used for subset feature selection. The ensemble learning algorithm AdaBoost.M1 was used to construct classifiers. Accuracy and F score were used for classification model evaluation. The consistency between automatic and manual scoring was assessed using a weighted kappa statistic. Results: When all the features were used, the predict model presented moderate to high accuracy, with kappa values between fair to very good agreement. After feature selection, model accuracy decreased about 10%, with kappa values between poor to moderate agreement. Conclusions: The results indicate that higher prediction accuracy was achieved using the full feature set compared with using the reduced feature set.
A general solution to broad-spectrum vaccine design for rapidly mutating viruses

Rapidly evolving pathogens pose a challenge to vaccine design, as their mutations render previous vaccine responses obsolete. For influenza, conserved epitopes on the viral coat proteins have been identified, but mysteriously they are missed by the antibodies elicited by most vaccine recipients [1, 2]. In simulated immunizations using 263 million antibody-hemagglutinin (HA) structural docking solutions, non-conserved epitopes were immunodominant when HAs were immunized at standard concentrations. However, by vaccinating with a pool of 30 diverse and dilute HA variants, B-cells that recognize broadly-conserved epitopes across HA receive up to 30-fold higher antigen dose, with concentration being linearly correlated to conservation on a per epitope basis. If individual variants are at concentrations below the minimum threshold of immune activation, then cross-reactive B-cells will be preferentially elicited. In pig immunizations, the approach induced a broad-spectrum antibody response against a panel of 36 strains from 1918-2014, including all pandemic strains from the past century and multiple strains not in the vaccine. In further swine studies with a vaccine containing HAs from 1918-2008, we observe broad-spectrum neutralizing responses against 6 future heterologous strains, including pandemic strains, spanning H1N1 2009-2017 and H3N2 2009-2014. Our results support a greater understanding of why non-conserved epitopes are immunodominant, as well as indicate a general solution to overcome this in broad-spectrum vaccine design.
Energy Level Alignment at Hybridized Organic–Metal Interfaces: The Role of Many-Electron Effects

Hybridized molecule/metal interfaces are ubiquitous in molecular and organic devices. The energy level alignment (ELA) of frontier molecular levels relative to the metal Fermi level (EF) is critical to the conductance and functionality of these devices. However, a clear understanding of the ELA that includes many-electron self-energy effects is lacking. Here, we investigate the many-electron effects on the ELA using state-of-the-art, benchmark GW calculations on prototypical chemisorbed molecules on Au(111), in eleven different geometries. The GW ELA is in good agreement with photoemission for monolayers of benzene diamine on Au(111). We find that in addition to static image charge screening, the frontier levels in most of these geometries are renormalized by additional screening from substrate-mediated intermolecular Coulomb interactions. For weakly chemisorbed systems, such as amines and pyridines on Au, this additional level renormalization (∼1.5 eV) comes solely from static screened exchange energy, a.
On Ad Hoc Communication in Industrial Environments

Wireless communication is becoming vital in the industrial environment. New communication technologies, including ad hoc communication, are researched for this application. A thorough understanding regarding the connection characteristics of industrial networks could benefit this trend. In this work it was possible to record the time-variant network topology of such a network utilizing a novel method. Using this method and the generated recordings, novel insights into the behavior of industrial ad hoc networks are presented. The recorded time-variant topology, the tools and method of acquisition, and tools for processing and examination are published. This enables researchers and engineers to check their communication technologies in terms of applicability to the industrial use case and record more network topologies in a wide variety of wireless networking scenarios.
A Study Towards the Development of Salt Tolerant Upland Cotton (Gossypium Hirsutum L.)

ABSTRACT Salt-affected areas are increasing at a rapid rate that are decreasing agricultural productivity. For this purpose, 6 salt-tolerant and 3 salt-sensitive parents were crossed in a Line × Tester fashion and were sown under control, 10 and 15 dSm−1 salt stress for 2 years. Data were recorded for various biochemical, agronomic, and fiber quality traits like H2O2 (hydrogen peroxide), SOD (superoxide dismutase), POD (peroxidase), CAT (catalase), TSP (total soluble proteins), K+ (potassium), Na+ (sodium), potassium to sodium ratio (K+/Na+), plant height, number of bolls, boll weight, seed cotton yield, GOT% (ginning out turn) fiber fineness, fiber length, and fiber strength. Mean values of plant height, number of bolls, boll weight, seed cotton yield, K+, K+/Na+, fiber fineness, fiber length, fiber strength, antioxidants’ activities showed significant reductions under salt stress. Contrarily, Na+, GOT%, H2O2, TSP and POD activity increased under salt stress, and this effect was more profound under 15 dSm−1. KEHKSHAN × FH-114 remained outstanding in both years and was found salt-tolerant genotype which can be effectively used in future breeding program.
Detection of Tumor Slice in Brain Magnetic Resonance Images by Feature Optimized Transfer Learning

This study includes investigating the presence of tumor regions in Magnetic Resonance Imaging (MRI) slices. Since the MRI taken from a patient consists of many slices, it may take time for experts to review these images. The aim of the study is to evaluate the specialist's MRI slices more quickly. The image of each MRI slice taken from the patient was applied to the Alexnet transfer learning algorithm and the properties of the image were obtained. These features are optimized with the Relieff feature selection algorithm to achieve optimum success. The highest accuracy has been achieved with the support vector machine classifier, in which optimized features are used. The study was validated with 3 different combinations by training with two datasets and testing with the other. Thus, a method that can work under different conditions were obtained. The performance metrics of the study were obtained by taking the average of the successes obtained from each data set. MRIs were trained with Alexnet transfer learning model and performance analysis was performed on the obtained classification models. The feature optimization used both increased the success to 97.55% and reduced the processing time from 0.4064 to 0.3045 seconds. The proposed model with a high success rate and a rapid classification is expected to assist the expert in both diagnosis and treatment planning.
Crisis Situations and Information Science. Selected Issues in the Context of the COVID-19 Pandemic

Purpose/Thesis: This paper attempts to organize and systematize scholarly literature on the issues relating to the current global health crisis published by information science scholars and professionals, as well as on the information science-related initiatives undertaken to provide access to reliable and valid information in crisis situations. Approach/Methods: A critical review of selected literature, as well as observation and a descriptive analysis of websites and web platforms were conducted to establish the thematic corpus. Results and conclusions: Even though the topic is recent, several subfields of information science have already been the subject of studies conducted in different parts of the world. It may imply that information science scholars and professionals react quickly to change and they are aware of the fact that their discipline may play an important role during crisis situations. This role may involve facilitating better management in future crises if they do happen. Research limitations: Since the topic is new and the situation is dynamic, new research results, or online projects are being issued almost on a daily basis. Hence, it can be assumed that shortly after its publication, this paper will not present the current state of the art anymore. Originality/Value: First scholarly publications on the issues relating to the current global health crisis appeared in early Spring 2020. According to the author’s knowledge, no summary has been published that would systematize and classify the publications and other initiatives from the information science field.
Compact Shared Aperture Quasi-Yagi Antenna With Pattern Diversity for 5G-NR Applications

A novel shared aperture planar quasi-Yagi antenna with complementary pattern (as well as polarization) diversity performance is presented for fifth generation (5G)-new radio (NR) application. A shared aperture antenna with high port isolation and a compact size is first proposed by the even–odd mode feedings. Then, by combining the monopole and dipole modes, the novel pattern reconfigurable method is studied step by step using the surface current distribution. By controlling the feeding states of the monopole and dipole elements, a pattern reconfigurable Yagi antenna with four modes (omnidirectional, broadside, and two tilted patterns) is realized. The quasi-Yagi antenna, which exhibits a compact size of $0.511\lambda _{0} \times 0.244\lambda _{0} \times 0.005\lambda _{0}$ , is fabricated and measured for experimental verification. The measured −10 dB bandwidth of the four modes all basically covers the 5G-N78 band 3.3–3.8 GHz (14.1%). The measured peak radiation efficiency is greater than 80%. The proposed compact antenna, with the advantages of low-cost, simple design, good bandwidth, and radiation performance, and pattern/polarization reconfigurability, is well situated for 5G-NR communication.
Upholding Knowledge Sharing for Organization Innovation Efficiency in Pakistan

The aim of this paper was to outline the factors that provoke the knowledge sharing intents of employees and contribute toward knowledge sharing processes that result in a better rate of innovation implementation by the organizations. This research follows a holistic approach to study ‘Knowledge Sharing’. Referring to the holistic approach, this study examined the relationship between knowledge sharing enablers, processes, and outcomes. Organizational level factors (Top Management Support, Organizational Rewards) and technology linked factors (Information and Communication Technology use) were studied to show their relationship to knowledge sharing processes (knowledge donating, knowledge collecting) and how knowledge sharing processes relate to innovation efficiency in organizations in Pakistan. Data were collected from employees of Lahore based organizations irrespective of their area of functioning and level of hierarchy in the organization. Structural equation modeling was employed to test the hypotheses using AMOS 20. The findings of the study indicate that top management support is very important in determining the knowledge sharing behavior of employees. However, organizational rewards and ICT use does not support employees in knowledge sharing activities. Finally, knowledge sharing processes are strongly related to organization innovation efficiency. This study provides guidelines to managers and organizations for establishing a knowledge sharing culture for innovative performance in the long run.
ASSESSMENT OF THE RURAL ECONOMIC STRUCTURE OF GÜDÜL TOWN (ANKARA) BY QUANTIFIED SWOT ANALYSIS

Purpose Rather than solely having agricultural production at its core, rural development comprises of a multiaxial structure in which the socio-economic structure develops, non-agricultural economic diversification is assured, and a governance-based approached is adopted in the organization and participation mechanisms. The applicability and consistency of these intertwined axes entail an integrated approach to efforts in rural development. With the purpose of uncovering the critical points of the process, creating strategies intended for rural economic development within the axes valued by different stakeholders, and strengthening the participation mechanisms, SWOT Analysis, Analytic Hierarchy Process (AHP) integrated method, and TOWS matrix have been used to identify the Gudul rural economic development model. Design/Methodology/Approach In this study, the hierarchical structure established for the economic structure of Gudul is placed on the foundations of a SWOT analysis, quantified through Analytic Hierarchy Process, and evaluated within the framework of the three stakeholder’s perceptions (local people, experts, and local governments) according to their priority values. Findings Thus, the extent of the respective effects of important factors in rural economic development has been identified. In conclusion, the decisive role of quantified methods in the identification of strategies and policies utilized in the process of Gudul’s rural economic development has been manifested. Various strategies supporting the rural development and also institutions responsible for the implementation of these strategies were designated in light of the needs of Gudul and the expectations of the local people living in rural areas. Research Limitations/Implications The version of the questionnaire forms compatible with the SWOT-AHP technique, the scarcity of local manager surveys, the lack of answers to the questions of the local people are among the main difficulties encountered. Originality/Value This study is quite original in that it is the first strategic rural development plan model made specifically for Gudul, related to the participation of indigenous people in planning initiatives and transparently reflects the sometimes combined and sometimes changing views of local people, experts and local administrators about the importance of SWOT groups has a quality.
Decoration of WS2 Nanotubes and Fullerene-Like MoS2 with Gold Nanoparticles

A new technique of gold nanoparticle (AuNP) growth on the sidewalls of WS2 inorganic nanotubes (INT-WS2) and the surface of MoS2 fullerene-like nanoparticles (IF-MoS2) is developed to produce metal–semiconductor nanocomposites. The coverage density and mean size of the nanoparticles are dependent on the HAuCl4/MS2 (M = W, Mo) molar ratio. AuNPs formation mechanism seems to involve spatially divided reactions of AuCl4– reduction and WS2/MoS2 oxidation taking place on the surface defects of the disulfide nanostructures rather than directly at the AuNP-INT/IF interface. A strong epitaxial matching between the lattices of the gold nanoparticles and the INT-WS2 or IF-MoS2 seems to suppress plasmon resonance in the nanocomposites with small (<10 nm mean size) AuNPs.
PENGARUH POLA ASUH ORANG TUA TERHADAP KEDISIPLINAN BELAJAR PESERTA DIDIK

Parent's attention to children is still lacking, caused by several things including busyness, low educational background, lack of parent's direction of everything that has been achieved by the child, causing the child to become indifferent to learning. The problems that arise are how the influence of parenting parents on student learning discipline at MTs Al Hidayah Ciomas Panjalu.This study aims to determine the extent of the influence of parenting on student learning discipline in MTs Al Hidayah Ciomas Panjalu.The method used in this research is descriptive method with quantitative approach. The study population at MTs Al Hidayah was 162 students with a sample of 35 people. Sampling was done by purposive sampling technique. The data collection tool taken was observation and questionnaire as many as 35 respondents, after the data was collected with complete stages. The next step was data analysis using spermant rank coefficient (rs). Parental parenting values in Al Hidayah MTs were obtained at 39.4 at intervals of 38.2 - 40.3 with a fairly good classification. While the learning discipline value of students in Al Hidayah MTs was obtained at 37.97 at intervals of 35.22 - 38.44 with poor classification. Based on the testing of hypotheses that have been done, the results have a pretty good effect between parenting parents with student learning discipline in MTs Al Hidayah. This is obtained from rs = 0.59 with the Guilford scale at an interval of 0.41 - 0.60 with a fairly good classification. The pattern of Oreangtua Parenting affects the Discipline of Student Learning is 35% so 65% is influenced by other factors. The influence of these two variables, namely Parenting Parents Against Student Learning Discipline is a significant correlation. This is evidenced by t_count = 4.20> t_table = 1.69236 so that Ha is accepted and Ho is rejected. Thus Parenting Parents have a pretty good effect on Student Learning Discipline.
Knowledge management based on information technology in response to COVID-19 crisis

ABSTRACT COVID-19’s rapid spread has caused a global pandemic. Consequently, it is imperative that healthcare organisations conduct crisis management (CM) to cope with this calamity. This study presents a set of operational guidelines for healthcare organisations to launch effective countermeasures against such crises by means of effective knowledge management (KM) practices. Additionally, information-technology (IT) applications can significantly improve organisations’ CM and KM capabilities by enhancing organisational responsiveness and flexibility. This study thus aims to articulate how the use of innovative IT-enabled mechanisms (e.g., non-contact monitoring devices, intelligent robots, and telemedicine) can reduce the risk of exposure and leverage an artificial intelligence-based epidemic intelligence dashboard to support appropriate decision-making by taking the operation of healthcare organisations in Taiwan during COVID-19 crisis as an example. The research results demonstrate the effectiveness of the employment of IT-enabled KM practices in CM settings in terms of preventing or minimising undesirable crisis consequences.
The Significance of Literary Texts in the Pedagogy of English Language in EFL and ESL Classrooms

Nowadays, one of the major concerns of teachers is usually about the material they intend to present to the students. The challenge that faces English classes is literature. The benefits of using literary texts in English language classes outweigh its shortcomings that specified by some literary critics, for instance, Chnara Khdhir and Mariwan Hasan pointed out this truth in their paper entitled, “The Importance of Literary Texts in Teaching Language in EFL Classes: The Waste Land as an Example”, which we strongly agree that one can easily learn a language through the literature of the target language. To learn a language one needs to study reading, writing, listening, and speaking; the four skills of the English language, which will all be available in the literature. Materials are provided, which are sufficient for these skills, but literary texts have ascertained a worthy source that accomplishes these abilities. Moreover, culture information is inferred via language learning, and yet with comprehension of the society. This is a characteristic of language that requires materials associating with culture. Culture is a basis for literature; namely; it does not merely imply that literature deals with culture, but literature about the culture of any specific user of that language. Furthermore, one can say the use of literary texts in language classes inspires more attentive and determined language learning. Thus, the students are not merely uncovered to the actual usage of language, but also they become critical scholars. As such, this study argues the causes behind focusing on the use of literary texts as a significant source in teaching the English language.
A Doctrinal Review of Visual Art from Islamic Religious Institution in Malaysia

This paper aims to gather doctrinal reference regarding visual art from Malaysian Islamic Religious institutions; and to analyze the content of all collections (objective 1) that are related to the presentation of visual art as discussed in the perspective of Islamic Shariah; by using a systematic literature review approach. The findings from the doctrinal report on visual art showed that its discussion revolved only around the explanation of imagery in visual art which involved 6 types of visible subjects. This comprehensive collection will become a guideline in producing visual artwork that comply with Islamic Shariah. Keywords: Doctrinal review; guideline; fatwa; visual art eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bsby e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5iSI3. 2533