Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Traditional Industry Firms Be Born Global? Case Study with a Focus on Chinese and Korean Firms

Purpose – This study investigates whether the internationalization process of traditional industry firms can be categorized as born global, early internationalization, or gradual internationalization, and examines what factors promote internationalization in traditional industries using a case study of two firms, one each in China and Korea. Design/methodology – This study elects to use case study methodology to determine the “how” and “why” of internationalization process of traditional industry firms. Taking into consideration that factors that impact the internationalization process of firms are diverse and unclear in terms of causality, this study utilizes exploratory case study methodology. This research performs a comparative two-case study of two firms in traditional industries, one each in China and Korea, to examine similarities and differences of study subjects in order to improve the validity and suitability of research results. Findings – The findings of this research are as follows: First, traditional industries are more likely go through early and rapid internationalization rather than being born global; born globals are far more likely to appear in high tech industries. Second, the internationalization process of companies that go through early and rapid internationalization differs from what is indicated by traditional internationalization theories, and are not limited by factors like psychological distance and lack of experien- tial knowledge. Third, international entrepreneurship, international market orientation, and imitation and learning are important internal driving factors for early and rapid internationalization. Fourth, conditions within the domestic market, policy support from the government, and pilot effect from industry leaders are external driving factors for early and rapid internationalization. Originality/value – This study shows that the internationalization process of traditional industry firms is more likely to be early and rapid internationalization rather than being born global and suggests answers to why this may be the case. In addition, through an examination of case studies, it reveals that the internationalization process of traditional industry firms that undergo early and rapid internationalization is different from traditional internationalization theory, in that they are not limi- ted by the lack of psychological proximity and empirical knowledge, and are driven by international entrepreneurship, international market orientation, imitation and learning, competitive pressure within the domestic market, government’s policy support, and the pilot effect of industry leaders. Therefore, this study contributes to literature by expanding the scope of application of born global theory to traditional industries, making born global theory more generalizable and identifying driving factors to internationalization of traditional industry firms.
Home drinking in women over 30 years of age. Findings from an internet survey in England

ABSTRACT Objectives There has been a significant shift away from drinking in pubs and bars toward greater alcohol consumption at home. This study investigates the factors associated with hazardous drinking among women who drink at home. Methods A web-based survey of women >30 years (N = 411) were recruited from a university staff address book and web sites such as Mumsnet. Sociodemographic characteristics, alcohol consumption (AUDIT), purchasing patterns, and motivations for home drinking (HDAS) were assessed. A cutoff AUDIT score of ≥ 6 was used to define hazardous drinking (HD). Logistic regression analysis determined factors associated with hazardous drinking. Results Nearly two thirds of the sample (65.7%) of the sample reported HD. Factors identified with HD included drinking at home everyday, purchasing alcohol as part of weekly shopping and preferring to drink at home. Conclusions These factors could be used to develop approaches to encourage women to reflect on their alcohol use behaviors.
The rhizobiome of herbaceous plants in Clovelly and Sterkspruit soils of the Stevenson–Hamilton supersite

The rhizosphere is characterised by high microbial activity and an array of complex and dynamic physical, chemical and biological interactions termed the ‘rhizosphere effect’ (Helliwell et al. 2019; Hiltner 1904). These interactions play a crucial role in plant nutrition (Raaijmakers et al. 2009; Sørensen 1997) and ecosystem functioning in terrestrial ecosystems (Singh et al. 2004). Microbes associated with the rhizosphere (i.e. the rhizosphere microbiome or rhizobiome) represent a vast reservoir of microbial diversity that includes fungi, bacteria, nematodes, protozoa, algae, viruses and arthropods (Berg & Smalla 2009; Bonkowski et al. 2000; Bonkowski, Villenave & Griffiths 2009; Bulgarelli et al. 2013). Plant species actively determine the composition of their rhizobiome by secreting root exudates that attract or repel specific bacteria from the surrounding bulk soil (Berg & Smalla 2009; Doornbos, Van Loon & Bakker 2012). The composition of the rhizobiome is thus determined by numerous edaphic variables of the immediately surrounding bulk soil such as the soil mineralogy, soil moisture content and pH (Bardgett et al. 2005; Fierer & Jackson 2006; Myers et al. 2001). However, comparative studies on the effect of specific edaphic variables on the composition of the rhizobiome are rare because of a lack of suitable study sites where the influence of different soil types on the same plant species in close proximity can be compared effectively.
Dosimetric comparison of collapsed cone convolution/superposition and anisotropic analytic algorithms in the presence of eXaSkin bolus in radiotherapy

Introduction: Bolus type materials are needed in case of superficial lesions radiotherapy. This work determined the dosimetric accuracy of two commercial treatment planning systems (TPS) for the calculation of photon dose distribution in the presence of eXaSkin bolus.Material and methods: Dose calculations were performed on collapsed cone convolution/superposition (CCC) and anisotropic analytical algorithm (AAA) using computed tomography (CT) images of heterogeneous CIRS phantom. EBT3 film was used for obtaining percentage depth dose (PDD) curves and gamma index was utilized for comparing the accuracy of the two algorithms. The passing rate of global gamma index with the passing criterion of 3mm/3% as the standard criterion was considered 95% in this study. Results: Surface dose in PDD curves increased in the presence of 0.5 cm thick eXaSkin bolus. The passing rates of gamma index with standard passing criterion between AAA algorithm and EBT3 film measurements without and with bolus were 95% and 95.5%, respectively, while they were equal to 96% and 97.5% for CCC algorithm. Conclusion: There was a good agreement in dose calculation between AAA and CCC algorithms. Furthermore, eXaSkin bolus increased the surface dose by a factor of 25%.
An Active Compliance Control for A Robotic Wound Closure System

Most approaches to medical robotic compliance control rely upon forces, or torques, exerted on the mechanical arm links. The majority of robotic arms allow only position control, and orientation, of the end-effector. This paper uses a soft control technique to develop a position-correction, impedance method that leads to similar responses to the contact environment for simulation. The system is applied to control the contact force between a fixture and the skin in a robotic, vision-controlled, wound closure system. The experimental results show that the algorithm is successful in controlling contact force in fixture placement on different skin models.
Characteristics of Non-Smokers’ Exposure Using Indirect Smoking Indicators and Time Activity Patterns

Since the global enforcement of smoke-free policies, indoor smoking has decreased significantly, and the characteristics of non-smokers’ exposure to secondhand smoke (SHS) has changed. The purpose of this study was to assess the temporal and spatial characteristics of SHS exposure in non-smokers by combining questionnaires and biomarkers with time activity patterns. To assess SHS exposure, biomarkers such as cotinine and 4-(methylnitrosamino)-1-3-(pyridyl)-1-butanol (NNAL) in urine and nicotine in hair were collected from 100 non-smokers in Seoul. Questionnaires about SHS exposure and time activity patterns were also obtained from the participants. The analysis of biomarker samples indicated that about 10% of participants were exposed to SHS when compared with the criteria from previous studies. However, 97% of the participants reported that they were exposed to SHS at least once weekly. The participants were most exposed to SHS in the outdoor microenvironment, where they spent approximately 1.2 h daily. There was a significant correlation between the participants’ time spent outdoors and self-reported SHS exposure time (r2 = 0.935). In this study, a methodology using time activity patterns to assess temporal and spatial characteristics of SHS exposure was suggested. The results of this study may help develop policies for managing SHS exposure, considering the time activity patterns.
The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review

Functional Magnetic Resonance Imaging (fMRI) is presently one of the most popular techniques for analysing the dynamic states in brain images using various kinds of algorithms. From the last decade, there is an exponential rise in the use of the machine and deep learning algorithms of artificial intelligence for analysing fMRI data. However, it is a big challenge for every researcher to choose a suitable machine or deep learning algorithm for analysing fMRI data due to the availability of a large number of algorithms in the literature. It takes much time for each researcher to know about the various approaches and algorithms which are in use for fMRI data. This paper provides a review in a systematic manner for the present literature of fMRI data that makes use of the machine and deep learning algorithms. The major goals of this review paper are to (a) identify machine learning and deep learning research trends for the implementation of fMRI; (b) identify usage of Machine Learning Algorithms and deep learning in fMRI, and (c) help new researchers based on fMRI to put their new findings appropriately in existing domain of fMRI research. The results of this systematic review identified various fMRI studies and classified them based on fMRI types, mental diseases, use of machine learning and deep learning algorithms. The authors have provided the studies with the best performance of machine learning and deep learning algorithms used in fMRI. The authors believe that this systematic review will help incoming researchers on fMRI in their future works.
Gamification as an Engagement Tool in E-Learning Websites

Aim/Purpose: As e-Learning becomes increasingly pervasive, students’ engagement in online settings emerges as a central challenge, as it is often more demanding to ensure in this context. The core importance of engagement for e-Learning, places a focus on various instruments and strategies that can be deployed to foster its enhancement. Background: Gamification is often depicted as a significant instrument to drive engagement, behavior change, and loyalty, which can be of great significance to online learning. This paper aims to examine the relationship between the application of gamification tools and the level of engagement in e-Learning websites. Methodology: This research used two methods: the analysis of e-Learning websites and an online survey with a convenience and purposive sample of e-Learning and/or gamification experts. Contribution: This paper adds to the existing body of research by placing and emphasis on and examining the positive role of gamification as an engagement instrument with valuable potential for e-Learning. Findings: The results showed that the majority of the selected e-Learning websites use gamification and engagement elements and that the tools that are more commonly used were deemed as the most effective, by the experts. It became equally evident that the deployment of a larger number of gamification and engagement elements have positive repercussions in the enhancement of engagement, which can have constructive ramifications for the effectiveness of e-Learning. Recommendations for Practitioners: From a practitioner’s viewpoint the findings can assist both learning designers and teachers in the creation of gamification strategies to enhance students’ engagement. As a central challenge of e-Learning courses, engagement requires a multifaceted approach to be addressed effectively and knowing the strategies that have positive outcomes is a step forward in ensuring that the students can enroll in online courses and not be compromised with respect to their engagement. Finally, the lack of engagement can have serious repercussions not only on the learning experience of the students, but also on their actual academic performance. Hence, it is important to guide educators towards good design practices that can maximize engagement in these settings. Recommendation for Researchers: From a research perspective, these findings add to a growing body of studies that focus on the benefits of gamification by highlighting its positive repercussions on engagement and identifying which elements are more effective. In addition, the use of different sources of data provided a wider illustration of what is currently the use of gamification elements by functioning e-Learning websites and how those who apply them in practice in their courses perceive these elements. Future Research: Future research endeavours can focus on exploring students’ perceptions of gamification and how it influences their leaning performance.
Law Analysis Towards Judicial Review of Interfaith Marriage

Interfaith marriage is still debatable in Indonesia‟s family law. The interfaith marriage regulation is assumed to reduce the right to choose a life partners in a different religions. Therefore, the judicial review towards the Article 2 paragraph (1) Act No 1 of 1974 on Marriage to Indonesia‟s Constitutional Court. Indonesia‟s Constitutional Court issues a decision Number 68/PUU-XII/2014 against the judicial review submitted by applicants. This article focuses on law analysis towards the judicial review of interfaith marriage. The litigants feel unfair and restrictive rights. Constitutional argumentation about the applicant is in Article 16 DUHAM on Human Rights. On the other perception, Indonesia‟s Constitutional Court Consideration refusing judicial review is a theology aspect, because marriage is not only anthropocentrism and the impact of marriage law status.
Smart design engineering: leveraging product design and development to exploit the benefits from the 4th industrial revolution

Abstract The 4th industrial revolution (IR) requires new products and business models adjusted to the rapidly changing market conditions, which calls for evolutions in design engineering. In this context, smart design engineering is here defined as a methodology used during the analysis and design of a product or a system, which can be composed by hardware, software and/or services, and that explicitly considers exploiting the technologies and opportunities from the 4th IR. This work contributes to both design theory and practice: (i) it deepens the understanding about the necessary smart design engineering features and shows how these features impact the product design and development process’s (PDDP) key dimensions (procedures, people and tools); (ii) it maps the features’ impact on PDDP’s phases, thus providing practical direction for process improvement. To accomplish these results, a survey was performed on the initial features presented in the literature, which helped to identify new features and to confirm their relation to the 4th IR and their impact on the PDDP. These features were then analyzed against the 4th IR environment perspectives and core technologies, which led to understanding how they can be used to improve the PDDP.
Cardiac amyloidosis mimicking acute coronary syndrome: a case report and literature review

Abstract Background Cardiac amyloidosis, a progressive cardiac disease, results from the accumulation of undegraded proteinaceous substrates in the extracellular matrix of the heart. It may present as acute coronary syndrome (ACS); therefore, a clear distinction remains challenging in clinical practice. We describe a case of cardiac amyloidosis mimicking ACS. Case summary A 72-year-old man experienced chest discomfort for 2 days. He gradually developed dyspnoea during the preceding month. Electrocardiogram (ECG) showed sinus rhythm with right bundle branch block and low voltage. Echocardiography revealed concentric left ventricular thickening, biatrial dilation, and preserved ejection fraction with predominantly left ventricular basal hypokinesis. Serial testing of the cardiac biomarkers showed persistently increased high-sensitive cardiac troponin T levels and normal serum creatine kinase myocardial band levels. He was diagnosed with ACS with haemodynamic stability. However, coronary angiography demonstrated non-obstructive coronary arteries. Furthermore, significant macroglossia and periorbital purpura were noticed. Laboratory investigations revealed elevated serum immunoglobulin free light chain (FLC) kappa and lambda levels with an increased FLC ratio. Histological analysis of the biopsied abdominal skin confirmed amyloidosis. Discussion Cardiac amyloidosis often presents as restrictive cardiomyopathy. The usual symptoms include dyspnoea and peripheral oedema. Chest pain may manifest rarely, leading to misdiagnosis as coronary artery disease. Some findings suggestive of cardiac amyloidosis include clinical signs such as amyloid deposits, dyspnoea, low ECG voltage, and basal-predominant hypokinesis with relative apical sparing in echocardiography. Serum FLC test and abdominal skin biopsy can confirm the diagnosis of amyloidosis when a myocardial biopsy is not feasible.
Improving the Energy Conversion Efficiency for Hydrokinetic Turbines Using MPPT Controller

The research presented in this paper involves the design of a power control system for a hydrokinetic turbine previously tested in real operating conditions. A maximum power point tracking (MPPT) algorithm was designed and simulated using the required parameters for a specific electric generator. The proposed system consists of a generator connected to the hydrokinetic turbine, a three-phase uncontrolled rectifier, a direct current (DC) boost converter with MPPT control to extract maximum available power, and a buck converter to control the amount of power delivered to the load. In order to test the MPPT algorithm, we built the individual blocks on the basis of the corresponding equations of each component. The algorithm considered the specific parameters of the previously tested turbine as input data and simulated the same water velocities for which the turbine had been tested. Thus, the simulation predicted a power output of 105 W for a water velocity of 1.33 m/s, 60 W for 1 m/s, and 30 W for 0.83 m/s. The efficiency of the control system was demonstrated when the instantaneous power value was maintained at a maximum point, regardless of the rotational speed according to the experimental power curves of the driving rotor obtained for certain water velocities.
The test-retest reliability and spatial tuning of serial dependence in orientation perception

Humans perceive objects and scenes consistently, even in situations where visual input is noisy and unstable. One of the mechanisms that underlies this perceptual stability is serial dependence, whereby the perception of objects or features at any given moment is pulled toward what was previously seen. Although recent findings from several studies have reported large individual differences in serial dependence, it is not clear how stable the serial dependence is within an individual. Here, we investigated the stability of serial dependence in orientation perception over two different days within the same observers. In addition, we also examined the visual field location specificity of perceptual serial dependence. On each trial, observers viewed a Gabor patch and then reported its apparent orientation by adjusting the orientation of a bar. For each observer, the Gabor was located in the foveal or peripheral (10° right or left eccentricity) visual field on both days or changed location from day to day. The results showed a very high degree of test-retest reliability in serial dependence measured across days within individual observers. Interestingly, this high within-subject consistency was only found when serial dependence was measured at the same visual field location. These results suggest that individual differences in serial dependence are stable across days, and that the spatiotemporal range in which the previous stimulus assimilates the perception of the current stimulus (the continuity field) may vary across different visual field locations in an observer-specific manner.
Effective linewidth shifts in single-molecule detection using optical whispering gallery modes

Here, we report shifts of the linewidth of a plasmon enhanced whispering gallery mode (WGM) of a glass microsphere cavity due to binding of single sub-kDa molecules. The observed linewidth of the WGM can either increase or decrease upon binding of single molecules depending on the location of their binding sites. The linewidth shifts arise due to the change in the unresolved frequency splitting of standing wave modes (SWMs). These SWMs are formed due to the scattering from the gold nanoparticles attached to the WGM. Monitoring the WGM linewidth provides a robust method for sensing single molecules over prolonged time periods as the linewidth is unaffected by changes in the host refractive index due to drifts in temperature, pressure, or change in the concentration of buffers.