Miracle-dz/UniFAR-FTUs huggingface dataset:
Moving ideas across borders: Foreign inventors, patents and
 FDI

This paper explores the link between innovation, migration and Foreign Direct Investment (FDI) empirically within a theoretically consistent framework. It analyses how migrant inventors enhance multinational firms' adaptive innovation performance and ultimately foster FDI towards the migrant's country of origin. Foreign migrant inventors (migrants who filed a patent in their host country) possess a unique mix of technical knowledge and cultural background that contribute to adapting Research and Development (R&D) activities for foreign markets. Therefore, FDI increases in country- pair-sectors with specific endogenous investment in quality, which depends on the migrants in the R&D sector. We constructed a novel panel country-sector data set including FDI, patents and migrant inventors and applied a two-stage structural gravity estimation procedure using migrant inventors as a valid instrument for patents. The results show sizable effects on the extensive and intensive margins of greenfield FDI
Structural behaviour of 5000 kN damper

This work presents a study on parameters that govern the structural behaviour a high capacity damper with 5000 kN capacity. The damper is based on a rotational friction concept that was developed by the first author. The device is designed to dissipate seismic input energy and protect buildings, especially large and tall buildings from structural and non-structural damage during moderate and severe earthquakes. The damper has been tested intensively at the Technical University of Denmark. The test proved that the damper is able to achieve the design capacity of 5000 kN. A computational model based on the finite element software ABAQUS was developed to explain some small differences from the idealized elasto-plastic behaviour of the damper. The comparison of results obtained from the experimental and numerical models shows very good agreement. The large capacity devices are not difficult to implement in structures and they are economic devices due to material availability. So far several models of Damptech rotational friction dampers have been installed in 20 projects in Japan and in other countries around the world.
Cost-Effective Edge Server Network Design in Mobile Edge Computing Environment

<italic>Mobile edge computing</italic> (MEC) deploys edge servers at the base station in the proximity of users to provide cloud computing-like computing and storage functionalities, which can achieve applications’ low latency requirement at the network edge. The <italic>edge server network</italic> (ESN), constituted by edge servers in an area and the links between them, can host app vendors’ services for serving nearby users. Many existing studies have demonstrated that a high ESN density allows for high service performance because edge servers can communicate and share resources with each other effectively over the ESN. However, in the real-world MEC environment, constructing a high-density ESN may incur high construction costs. The trade-off between construction cost and network density plays a vital role in the design of an ESN. Unfortunately, existing studies of MEC have commonly and simply assumed the densities of the ESNs in their experiments. In this paper, we make the first attempt to study the design of cost-effective ESNs with the aim to trade off between the network construction cost and the network density. We model this novel <italic>Edge Server Network Design</italic> (ESND) problem as a constrained optimization problem and prove its <inline-formula><tex-math notation="LaTeX">$\mathcal {NP}$</tex-math><alternatives><mml:math><mml:mi mathvariant="script">NP</mml:mi></mml:math><inline-graphic xlink:href="jin-ieq1-3178661.gif"/></alternatives></inline-formula>-hardness. ESND-O as an optimal approach is proposed based on integer programming to solve small-scale ESND problems. Another approximation approach named ESND-A is designed to solve large-scale ESND problems efficiently. We conduct extensive experiments to test the performance of ESND-O and ESND-A on a real-world dataset, and the experimental results demonstrate their effectiveness and efficiency against four representative approaches.
Chemical Composition, Antioxidant, Insecticidal Activity, and Comparative Analysis of Essential Oils of Leaves and Fruits of Schinus molle and Schinus terebinthifolius

Schinus terebinthifolius Raddi. and Schinus molle L. are perennial woody plants belonging to the Anacardiaceae family, widely distributed in the United States, Europe, Asia, and Africa, and they are broadly used for many applications such as in traditional medicine as an antipyretic, analgesic, depurative, and in the treatment of diseases of the urogenital system as well as culinary and ornamental species. Our work aims to study and compare the chemical composition and the antioxidant and insecticidal activity of the essential oils of the leaves and fruits of the two species of the genus Schinus. The essential oils were characterized by a very spicy aromatic odor, and by the abundance of hydrocarbon monoterpenes in the leaves and fruits of Schinus molle (49.70% and 42.65%), unlike the EOs of the fruits of Schinus terebinthifolius which have a high content in hydrocarbon sesquiterpenes (40.57%). Usually, these oils have shown relatively low antioxidant activity was expressed in IC50; especially, the essential oil of the fruits of S. terebinthifolius revealed a concentration of 3.292 ± 2.82 mg/mL. The evaluation of the insecticidal activity gave good results in the method of exposure of adults of Sitophilus oryzae to EOs by contact; thus, the fruits of Schinus molle are more active against this species of beetle than the other essential oil.
The Effect of Work Culture, Work Environment, and Leadership Style on Employee Job Satisfaction

The company has the most important asset that helps in achieving its goals, namely employees. However, several things cause employee satisfaction to decrease, such as a work culture that is not internalized, an inadequate work environment, and an unsupportive leadership style. This study aims to explain the influence of work culture, work environment, and leadership style on employee job satisfaction at Office Krisna Oleh-Oleh Bali. The number of samples used is 50 employees, with the sampling technique used being saturated sampling. Collecting data in this study using a questionnaire, and the data in this study were analyzed using multiple linear regression analysis techniques. The theory used in this research is Social Exchange Theory. The results of this study indicate that work culture has a positive and significant effect on the job satisfaction of employees of Office Krisna Oleh-Oleh Bali. The work environment has a positive and significant effect on the job satisfaction of Krisna Oleh-Oleh Bali office employees. Leadership style has a positive and significant effect on employee job satisfaction at Office Krisna Oleh-Oleh Bali.
Gene Expression Profile Provides Novel Insights of Fasting-Refeeding Response in Zebrafish Skeletal Muscle

Recently, fasting has been spotlighted from a healthcare perspective. However, the de-tailed biological mechanisms and significance by which the effects of fasting confer health benefits are not yet clear. Due to certain advantages of the zebrafish as a vertebrate model, it is widely utilized in biological studies. However, the biological responses to nutrient metabolism within zebrafish skeletal muscles have not yet been amply reported. Therefore, we aimed to reveal a gene expression profile in zebrafish skeletal muscles in response to fasting-refeeding. Accordingly, mRNA-sequencing and bioinformatics analysis were performed to examine comprehensive gene expression changes in skeletal muscle tissues during fasting-refeeding. Our results produced a novel set of nutrition-related genes under a fasting-refeeding protocol. Moreover, we found that five genes were dramatically upregulated in each fasting (for 24 h) and refeeding (after 3 h), exhibiting a rapid response to the provided conditional changes. The assessment of the gene length revealed that the gene set whose expression was elevated only after 3 h of refeeding had a shorter length, suggesting that nutrition-related gene function is associated with gene length. Taken together, our results from the bioinformatics analyses provide new insights into biological mechanisms induced by fasting-refeeding conditions within zebrafish skeletal muscle.
Using self-monitoring technology for nutritional counseling and weight management

Self-monitoring of weight, dietary intake, and physical activity is a key strategy for weight management in adults with obesity. Despite research suggesting consistent associations between more frequent self-monitoring and greater success with weight regulation, adherence is often suboptimal and tends to decrease over time. New technologies such as smartphone applications, e-scales, and wearable devices can help eliminate some of the barriers individuals experience with traditional self-monitoring tools, and research has demonstrated that these tools may improve self-monitoring adherence. To improve the integration of these tools in clinical practice, the current narrative review introduces the various types of self-monitoring technologies, presents current evidence regarding their use for nutrition support and weight management, and provides guidance for optimal implementation. The review ends with a discussion of barriers to the implementation of these technologies and the role that they should optimally play in nutritional counseling and weight management. Although newer self-monitoring technologies may help improve adherence to self-monitoring, these tools should not be viewed as an intervention in and of themselves and are most efficacious when implemented with ongoing clinical support.
Optimization of support location in mirror-milling of aircraft skins

As a new technology of reducing thickness of an aircraft skin, the mirror-milling system is widely used. The objective of this study is to optimize the support location in mirror-milling of aircraft skins. The study analyzes the machining mechanisms of mirror-milling system and establishes a theoretical model to predict the milling forces. In addition, it develops a finite element model to simulate workpiece deformation so as to predict workpiece profiles in mirror-milling system. The results of the study show that with the optimized support location, the profile error of the workpiece is reduced by 73.5%, whereas machining efficiency is increased.
EFFECTIVENESS AND EFFICIENCY IN A HURRIED WORLD: ONLINE CUSTOMERS KNOW WHAT THEY WANT

Despite many studies on online purchasing decisions, e-marketing mix elements tend to be based solely on literature, regardless of what antecedents are appropriate for the target sample of research. Selecting research variables by salient factors determination method leads to several hypotheses about e-marketing mix elements that influence purchase decisions in one of the largest marketplaces in Indonesia, i.e., Shopee.co.id. The current study is expected to answer which elements in the e-marketing mix most determine purchase decisions in the digital era that demand the effectiveness and efficiency of resources. The total respondents were 150 university students. Structural Equation Modeling was utilized to analyze the data. Results showed that e-marketing mix elements that significantly influence purchasing decisions were e-process and e-price. The findings show that the most important online shopping factors were processing speed (time effectiveness) and lower product prices (cost efficiency). E-promotion did not significantly affect the purchase decision since online shopping has become a daily routine activity, especially since the Covid-19 pandemic in early 2020. Keywords: effectiveness, efficiency, e-marketing mix, marketplace, purchase decision
What criteria are young people using to select mobile mental health applications? A nominal group study

Objective The popularity of smartphone technology provides a unique opportunity to make mental health support widely accessible, especially among young people. Despite the promising results of some mobile mental health support applications, the overwhelming number of available applications (apps) on the market makes it difficult to make a choice that will be safe and effective. Currently, widely available tools are either developed by experts, without end user input or are solely based on usability rankings. Thus, it remains unclear what aspects of mental health apps are important for young people. The purpose of this study was to determine what criteria young adults use when they select mental health applications and what is the relative importance of these criteria to inform the development of a user-driven app-rating platform. Methods We conducted 4 group sessions with 47 youth and young adults aged 15–25 in British Columbia, Canada using a modified nominal group technique. This method allows for establishing the relative importance of criteria in a structured group discussion. We recorded, transcribed and analysed the resulting data using qualitative content analysis and quantitative methods. Results Criteria that are the most important to young adults when selecting mental health apps include accessibility, security and grounding in scientific evidence. We identified specific aspects of the discussed criteria which were ranked in the order of importance. Conclusion Consulting end users about their priorities when evaluating mental health apps ensures that their values and priorities are incorporated into future app-rating platforms, alongside expert opinions. The present study also outlines the common contexts in which apps are used as well as their desirable features to inform mental health app development.
EpCAM- and EGFR-Specific Antibody Drug Conjugates for Triple-Negative Breast Cancer Treatment

Triple-negative breast cancer (TNBC) is a group of heterogeneous and refractory breast cancers with the absence of estrogen receptor (ER), progesterone receptor (PgR) and epidermal growth factor receptor 2 (HER2). Over the past decade, antibody drug conjugates (ADCs) have ushered in a new era of targeting therapy. Since the epidermal growth factor receptor (EGFR) and epithelial cell adhesion molecule (EpCAM) are over expressed on triple-negative breast cancer, we developed novel ADCs by conjugating benzylguanine (BG)-modified monomethyl auristatin E (MMAE) to EpCAM- and EGFR-specific SNAP-tagged single chain antibody fragments (scFvs). Rapid and efficient conjugation was achieved by SNAP-tag technology. The binding and internalization properties of scFv-SNAP fusion proteins were confirmed by flow cytometry and fluorescence microscopy. The dose-dependent cytotoxicity was evaluated in cell lines expressing different levels of EGFR and EpCAM. Both ADCs showed specific cytotoxicity to EGFR or EpCAM positive cell lines via inducing apoptosis at a nanomolar concentration. Our study demonstrated that EGFR specific scFv-425-SNAP-BG-MMAE and EpCAM-specific scFv-EpCAM-SNAP-BG-MMAE could be promising ADCs for the treatment of TNBC.
A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

Abstract The paper proposes a traffic responsive control framework based on a Model Predictive Control (MPC) approach. The framework focuses on a centralized method, which can simultaneously compute the network decision variables (i.e., the green timings at each junction and the offset of the traffic light plans of the network). Furthermore, the framework is based on a hybrid traffic flow model operating as a prediction model and plant model in the control procedure. The hybrid traffic flow model combines two sub-models: an aggregate model (i.e., the Cell Transmission Model; CTM) and a disaggregate model (i.e., the Cellular Automata model; CA), using a transition cell to connect them. The whole framework is tested on a signalized arterial, performing several analyses to calibrate the MPC strategy and evaluate the traffic control approach using fixed and adaptive control strategies. All analyses are made in terms of total time spent, network total delay, queue lengths and degree of saturation.
Inclusion of biotic variables improves predictions of environmental niche models

Species Distribution Models (SDMs) are correlative models that predict the occurrence or abundance of species in relation to predictor variables. SDMs have become an important part of resource management and conservation biology yet they rarely incorporate species’ biology or demography into their predictions. To explore the possible influence of biotic relationships in explaining patterns of species’ distribution, abundance and explanatory power of SDMs, we chose two intertidal shellfish species with overlapping but different environmental preferences (Austrovenus stutchburyi and Macomona liliana) and modelled their distributions with and without biotic variables.
The Influence of Academic Self-Efficacy and Self-Esteem on Academic Achievement: A Study on Accounting Students

The purpose of this study was to determine the impact of academic self-efficacy and self-esteem on accounting students' academic achievement at Faculty of Economics and Business, Udayana University. In this study, linear regression analysis was used as an analytical technique. The sample for this study is bachelor accounting students from the class of 2016, and the sample was determined using the Slovin formula, which yielded 77 people. The data was analysed using multiple linear regression. The findings indicated that good academic self-efficacy can improve accounting students' academic achievement. Similarly, rising self-esteem boosts academic achievement among accounting students at Faculty of Economics and Business, Udayana University. This study is also expected to provide an overview of accounting students' academic self-efficacy in order to determine future attention steps in the learning process, which can shape the character of the nation's children who are superior, independent, and cultured. Keywords: Academic Self-Efficacy; Self-Esteem; Academic Achievement; Student’s GPA.
Protective Effects of Oxyberberine in 5-Fluorouracil-Induced Intestinal Mucositis in the Mice Model

Berberine (BBR), a major active constituent of Rhizoma coptidis, was reported to exert beneficial effects on intestinal mucositis (IM) induced by 5-fluorouracil (5-FU). However, the bioavailability of BBR is extremely low, and its metabolites were perceived to contribute to its prominent pharmacological activities. Oxyberberine (OBB) is a gut metabolite of BBR, which has been reported to have a superior anti-inflammatory effect in experimental colitis. However, its anti-inflammatory effects against 5-FU-induced IM mice have not yet been investigated. Hence, the purpose of this study was to reveal the protective effects of OBB on IM induced by 5-FU and investigate its potential underlying mechanism. The IM mice model was induced by receiving 5-FU (60 mg/kg, i.p.) for five days. Meanwhile, BBR (50 mg/kg) and OBB (12.5, 25, and 50 mg/kg) were given prior to 30 min intraperitoneal injection of 5-FU for seven days. Results indicated that OBB ameliorated body weight loss, anorexia, diarrhea, and histopathological damage in 5-FU-induced IM mice. After OBB administration, the amounts of MDA, SOD, and GSH altered by IM were remarkably restored. OBB was also observed to dramatically decrease the levels of TNF-α, IL-8, IL-6, COX-2, and iNOS and promote the release of IL-10. Besides, OBB distinctly upregulated the mRNA expressions of PCNA, ZO-1, occludin, and mucin-1, which could improve intestinal homeostasis in IM mice. OBB also blocked the activation of the upstream TLR4/MyD88 signaling pathway, and then it inhibited the phosphorylation of the NF-κB and MAPK pathways. Importantly, compared with BBR, OBB displayed a superior therapeutic effect to BBR in alleviating 5-FU-induced IM mice. These results indicated that OBB has considerable potential to become a novel candidate drug against IM.
A Comparative Study of the Effect of Two Procedures of Classic Roux-en-Y and Omega Bariatric Surgery on the Control and Management of Diabetes

Background: Patient management after bariatric surgery is important in controlling patients’ diabetes and recurrence prevention. This study aimed to meet the medical managements of patients with diabetes 6 months after the bariatric surgery. Materials and Methods: This cross-sectional study was performed on 77 type 2 diabetes patients’ candidates for bariatric surgery (Roux-en-Y [RYGP] and Omega). Postoperative implementation protocol was one-third of insulin for patients taking long-term insulin and the discontinuation of medications for patients of oral antidiabetic agents. Blood glucose (BG) level was checked regularly by the patients at home and the necessary medical management was applied. The weight, BG and HbA1C levels, and use of oral antidiabetic agents and insulin were assessed and recorded before 1, 3, and 6 months after the surgery. Results: BG levels and HbA1C percentage in the 1st, 3rd, and 6th months after the intervention in Omega group were significantly lower than RYGB group (P value < 0.05). At 1 and 3 months after surgery, the mean insulin dose received by the Omega and RYGB groups was reduced to <30 units/day and 10 units/day, respectively, following the management protocol in this study. Moreover, 23.1% and 7.7% of patients in RYGB group and 12.1% and 3% of patients in Omega group took oral antidiabetic agents 1and 3 months after surgery, respectively. Insulin and oral antidiabetic agents were completely discontinued 6 months after the surgery. Conclusion: The long-term management and support of the patients by the implementation of a standard protocol after surgery are of great significance in obtaining the optimal outcome after bariatric surgery.
Tissue Sampling and Homogenization with NIRL Enables Spatially Resolved Cell Layer Specific Proteomic Analysis of the Murine Intestine

For investigating the molecular physiology and pathophysiology in organs, the most exact data should be obtained; if not, organ-specific cell lines are analyzed, or the whole organ is homogenized, followed by the analysis of its biomolecules. However, if the morphological organization of the organ can be addressed, then, in the best case, the composition of molecules in single cells of the target organ can be analyzed. Laser capture microdissection (LCM) is a technique which enables the selection of specific cells of a tissue for further analysis of their molecules. However, LCM is a time-consuming two-dimensional technique, and optimal results are only obtained if the tissue is fixed, e.g., by formalin. Especially for proteome analysis, formalin fixation reduced the number of identifiable proteins, and this is an additional drawback. Recently, it was demonstrated that sampling of fresh-frozen (non-fixed) tissue with an infrared-laser is giving higher yields with respect to the absolute protein amount and number of identifiable proteins than conventional mechanical homogenization of tissues. In this study, the applicability of the infrared laser tissue sampling for the proteome analysis of different cell layers of murine intestine was investigated, using LC–MS/MS-based differential quantitative bottom-up proteomics. By laser ablation, eight consecutive layers of colon tissue were obtained and analyzed. However, a clear distinguishability of protein profiles between ascending, descending, and transversal colon was made, and we identified the different intestinal-cell-layer proteins, which are cell-specific, as confirmed by data from the Human Protein Atlas. Thus, for the first time, sampling directly from intact fresh-frozen tissue with three-dimensional resolution is giving access to the different proteomes of different cell layers of colon tissue.