Miracle-dz/UniFAR-FTUs huggingface dataset:
Fatores Determinantes na Escolha de Internacionalização das Empresas Multilatinas

Objetivo: Analisar quais são os critérios determinantes para as multilatinas saírem do seu país de origem e se instalarem em outro país específico. Método: Foi aplicado a técnica de probit aplicado a dados em painel, pois é um método que permite representar a variável dependente por uma dummy com regressores variando entre os indivíduos e o período. Principais Resultados: Os resultados encontrados demonstram que as variáveis macroeconômicas dos países de origem das multilatinas não foram significantes para a determinação da localização, mas o PIB mundial, as características da firma, assim como as fusões e aquisições, foram determinantes e estatisticamente significativas para a localização das multilatinas. Isso demonstra que a internacionalização está altamente relacionada com o tamanho da firma, assim como sua experiência. Ou seja, quanto maior a firma mais recurso a mesma terá para investimento em novos países. Relevância/ Originalidade: O estudo sobre as empresas multilatinas começou a ganhar relevância acadêmica nos últimos anos (AGUILERA et al., 2017). Esse fato se justifica, pois, são poucas as empresas da América Latina que estão entre as maiores ou mais valiosas empresas do mundo. Contribuições Teóricas/ Metodológicas: Este estudo visa expandir a literatura sobre as empresas multilatinas ao trazer evidências sobre quais os fatores contribuem para processo de internacionalização dessas empresas.
A Comprehensive Review on Small Satellite Microgrids

The small satellite (SmallSat) industry has recorded incredible growth recently. Within this class, among mini-, micro-, and nanosatellites, the cube satellite (CubeSat) is primed for an explosion of growth. These satellites are fascinating for remote sensing, Earth observation, and scientific applications. Remarkable attention from the space operators makes it valuable because of its low cost, cubic shape, less manufacturing time, lightweight, and modular structure. Among the various subsystems comprising the SmallSat, the electrical power system (EPS) is the most crucial one because unreliable power supply to the rest is most of the time detrimental to the mission. The EPS is formed by electrical sources, storage units, and loads, all interconnected via different power converters, the operation of which must be closely orchestrated to accomplish efficient use of photovoltaic power, optimal battery management, and resilient power delivery. At the same time, the EPS design must address a series of challenges such as size restrictions, high power density, and harsh space environments (e.g., atomic oxygen, radiation, and extreme temperatures), which significantly impact the EPS electrical and electronic equipment. In terms of power systems, a SmallSat EPS can be considered a space microgrid owing to coordination and control of distributed generation, storage, and loads in a small-scale electrical network. From this point of view, this article reviews and explores SmallSat microgrid's research developments, energy transfer and architectures, converter topologies, latest technologies, main challenges, and some potential solutions, which will enable building a more robust, resilient, and efficient EPS. The research gaps and future developments are underlined before this article is concluded.
ANALISIS SENTIMEN REVIEW APLIKASI CRYPTOCURRENCY MENGGUNAKAN ALGORITMA MAXIMUM ENTROPY DENGAN METODE PEMBOBOTAN TF, TF-IDF DAN BINARY

Pandemi COVID-19 yang belum berhenti menyebabkan kondisi ekonomi Indonesia kian memburuk. Masyarakat yang terkena dampak pemotongan upah akibat pandemi harus mencari cara untuk mendapatkan pendapatan pasif. Salah satu cara untuk mendapatkan hal tersebut adalah berinvestasi. Cryptocurrency adalah salah satu instrumen investasi berbasis aplikasi yang memiliki return tinggi. Aplikasi Pintu adalah aplikasi pertama yang menyediakan fasilitas mobile apps pada penggunanya. Aplikasi yang dirilis pada tahun 2020 ini sudah memiliki banyak ulasan yang diberikan oleh penggunanya. Ulasan ini dibutuhkan untuk mengetahui apakah ulasan yang diberikan bersifat positif atau negatif. Analisis sentimen pada aplikasi Pintu dipilih untuk melihat sentimen pengguna yang akan dibagi menjadi dua kelas sentimen yaitu positif dan negatif. Klasifikasi dilakukan dengan algoritma Maximum Entropy dengan perbandingan metode pembobotan kata Term Frequency (TF), Term Frequency-Inverse Document Frequency (TF-IDF) dan Binary. Model klasifikasi terbaik dilihat berdasarkan nilai akurasi yang dievaluasi dengan 5-Fold Cross Validation. Hasil klasifikasi model Maximum Entropy dengan Binary memiliki tingkat akurasi sebesar 83,21% sedangkan hasil klasifikasi model Maximum Entropy dengan Term Frequency hanya sebesar 83,01% dan model Maximum Entropy dengan Term Frequency-Inverse Document Frequency hanya sebesar 83,20%. Hal ini menunjukkan bahwa tidak terdapat perbedaan yang signifikan pada model algoritma Maximum Entropy dengan metode pembobotan kata Term Frequency (TF), Term Frequency-Inverse Document Frequency (TF-IDF) dan Binary. Keywords: Cryptocurrency, Binary, Term Frequency, Term Frequency-Inverse Document Frequency, Maximum Entropy
Privacy-Preserving Data Integrity Verification for Secure Mobile Edge Storage

Mobile edge computing (MEC) is proposed as an extension of cloud computing in the scenarios where the end devices desire better services in terms of response time. Because the edges are usually owned by individuals or small organizations with limited operation capabilities, the data on the edges are easily corrupted (due to external attacks or internal hardware failures). Therefore, it is essential to verify data integrity i the MEC. We propose two <underline>I</underline>ntegrity <underline>C</underline>hecking protocols for the mobile <underline>E</underline>dge storage, called <inline-formula><tex-math notation="LaTeX">$\text{ICE}$</tex-math><alternatives><mml:math><mml:mtext>ICE</mml:mtext></mml:math><inline-graphic xlink:href="tong-ieq1-3174867.gif"/></alternatives></inline-formula>-basic and <inline-formula><tex-math notation="LaTeX">$\text{ICE}$</tex-math><alternatives><mml:math><mml:mtext>ICE</mml:mtext></mml:math><inline-graphic xlink:href="tong-ieq2-3174867.gif"/></alternatives></inline-formula>-batch. Our protocols allow a third-party verifier to check the data integrity on the edges without violating users’ data privacy and query pattern privacy. We rigorously prove the security and privacy guarantees of the protocols. In addition, we have investigated how to let the end devices cache some verification tags such that the communication cost between end devices and the cloud can be further reduced when a user connects to multiple edges in sequence. We have implemented a proof-of-concept system that runs <inline-formula><tex-math notation="LaTeX">$\text{ICE}$</tex-math><alternatives><mml:math><mml:mtext>ICE</mml:mtext></mml:math><inline-graphic xlink:href="tong-ieq3-3174867.gif"/></alternatives></inline-formula>, and extensive experiments are conducted to evaluate the performance of the proposed protocols. The theoretical analysis and experimental results demonstrate the proposed protocols are efficient both in computation and communication.
Thermohydraulic modelling of a transfer line for continuous flow cryostats

Continuous flow cryostats have to be steadily supplied with the cryogenic cooling agent, e.g. liquid helium (LHe) via a transfer line. The overall setup has to be characterised by a low consumption of the cryogen, determined not only by the cryostat design, but also by the transfer line design. In order to improve the transfer line’s performance, i.e. reducing the evaporation losses a thermohydraulic model has been developed to evaluate different transfer line designs. The presented model is validated by experimental data achieved with a transfer line equipped with built-in pressure sensors. This transfer line has been designed in order to examine the related frictional pressure drop. The developed model allows to examine the impact of the hydraulic and the insulation design on the resulting evaporation losses.
School Head Leadership Practices and Teachers’ Performance in Twilight Education: Basis for an Enhanced Learning Action Cell

During the COVID-19 pandemic, school leaders adapt to change and find out ways to achieve quality education even school use a new delivery mode of teaching. Learners' needs are being addressed by school administrators and teachers who innovate and discover approaches to address the needs. This is a situation that necessitates sloppy leadership. The goal of this research was to learn more about school leaders' leadership styles in Twilight Education. This study involved 60 teachers from San Francisco District schools and used descriptive type of research. To examine the current condition of variables, this study employed an adapted and modified survey questionnaire via Google Form. Findings of the study demonstrated a favorable significant association between school head leadership practices in terms of modeling the way, which prompted a follow-up study. More so, inspire a shared vision to diversity of learners has a negative significant association, and there is no substantial link between school head leadership practices and teacher performance. Thus, the study's findings do not support the null hypothesis that "there is no substantial association between School Head Leadership Practices and Teachers' Performance in Twilight Education. "
Sistema de inspección de defectos en baldosas cerámicas implementado en FPGA

La modernización en las fábricas es un factor clave para la producción y la calidad del producto final. Sin embargo, esta modernización puede suponer una inversión que las empresas no pueden asumir, dejándolas fuera de la adaptación a la Industria 4.0. En la industria de fabricación de baldosas cerámicas se utilizan inspecciones visuales para determinar la calidad del producto final. Estas tareas son realizadas generalmente por operarios expuestos a entornos de riesgo. Este trabajo presenta una solución de bajo costo para la inspección automática de baldosas cerámicas. Los defectos analizados son gotas, defectos de material, esquinas, bordes y dimensiones. Todos los algoritmos se implementaron en SoC FPGA (dispositivo Xilinx Zynq) utilizando síntesis de alto nivel. Los algoritmos se verificaron y validaron en un entorno controlado construido para evaluar aplicaciones de inspección visual. Los resultados de utilización de recursos y tiempos de procesamiento indican que la implementación en una línea de producción real es factible.
Using Kahoot! in the Classroom to Create Engagement and Active Learning: A Game-Based Technology Solution for eLearning Novices

Instructional games are gaining acceptance in the classroom as the eLearning merits of student engagement and immediate feedback are recognized. Within higher education, the use of these tools is often limited due to lack of time, insufficient experience, or doubts regarding the scholarly merits of such activities. Kahoot! is a popular eLearning tool that can easily be used to add vitality, student engagement, and meta-cognitive supports to higher education classrooms with limited instructor or student training required. The free online learning platform has gained wide acceptance globally with more than 30 million users worldwide, and it is based on current user-centered and behavioral design methodologies. Student responses and our experiences using Kahoot! in graduate and undergraduate classrooms indicate that students welcome the use of this game. The real-time feedback provides opportunities for professors in various disciplines to tailor their instruction based on student understanding on quizzes while the surveys allow for anonymous classroom participation, which further engages all students.
Monitoring and Cataloguing the Progress of Synchrotron Experiments, Data Reduction, and Data Analysis at Diamond Light Source From a User's Perspective

The high data rates produced by the latest generation of detectors, more efficient sample handling hardware and ever more remote users of the beamlines at Diamond Light Source require advanced data reduction and data analysis tools to maximize the potential benefit to scientists. Here we describe some of our experiment data reduction and analysis steps, including real time image analysis with DIALS, our Fast DP and xia2-based data reduction pipelines, and Fast EP phasing and DIMPLE difference map calculation pipelines that aim to rapidly provide feedback about the recently completed measurements. SynchWeb, an interface to an open source laboratory information management system called ISPyB (co-developed at Diamond and the ESRF), provides a modern, flexible framework for managing samples and visualizing the data from all of these experiments and analyses, including plots, images, and tables of the analysed and reduced data, as well as showing experimental metadata, sample information.
Positive youth development at Reach

Reach’s vision is that ‘every young person should have the support and self-belief they need to fulfil their potential and dare to dream’. We aim to fill a gap between organisations that provide purely recreational activities and those that provide clinical and crisis care. Our work falls within the emerging discipline of positive youth development (hereafter ’PYD’), which aims to build the strengths and ‘assets’ that enable youth to survive and thrive in life. Preliminary reports from a meta-analysis conducted by Weissberg and Durlak suggest that PYD yields significant effects in the short and long term and that a broad array of outcomes are positively influenced (Wilson-Simmons, 2007). This article outlines Reach’s current programmes and design future initiatives, explaining some of the synergies with PYD evaluations and research around the world.
Affinity Proteomics Identifies Interaction Partners and Defines Novel Insights into the Function of the Adhesion GPCR VLGR1/ADGRV1

The very large G-protein-coupled receptor 1 (VLGR1/ADGRV1) is the largest member of the adhesion G-protein-coupled receptor (ADGR) family. Mutations in VLGR1/ADGRV1 cause human Usher syndrome (USH), a form of hereditary deaf-blindness, and have been additionally linked to epilepsy. In the absence of tangible knowledge of the molecular function and signaling of VLGR1, the pathomechanisms underlying the development of these diseases are still unknown. Our study aimed to identify novel, previously unknown protein networks associated with VLGR1 in order to describe new functional cellular modules of this receptor. Using affinity proteomics, we have identified numerous new potential binding partners and ligands of VLGR1. Tandem affinity purification hits were functionally grouped based on their Gene Ontology terms and associated with functional cellular modules indicative of functions of VLGR1 in transcriptional regulation, splicing, cell cycle regulation, ciliogenesis, cell adhesion, neuronal development, and retinal maintenance. In addition, we validated the identified protein interactions and pathways in vitro and in situ. Our data provided new insights into possible functions of VLGR1, related to the development of USH and epilepsy, and also suggest a possible role in the development of other neuronal diseases such as Alzheimer’s disease.
Understanding Saudis' privacy concerns when using WhatsApp

Managing privacy in mobile instant messaging is a challenge for designers and users alike. If too many options are provided, the privacy controls can become complex to understand and unwieldy to manipulate. Conversely, providing too few controls leaves users without the ability to adequately express their privacy preferences. Further complicating this, a new class of social networks has emerged where one person can add another without mutual consent (i.e. Tumbler, Twitter, and WhatsApp). We present a survey of 626 Kingdom of Saudi Arabia (Saudi) WhatsApp users to determine their privacy-related behaviors and opinions. We find that Saudi users were aware of the privacy settings and use them especially to limit the visibility of when they were last active. We also find that 83.9% of respondents had been contacted by a stranger through the application. Respondents wanted more control over their membership in groups and the resulting visibility of their private profile information such as phone numbers. We discuss the results in terms of prior privacy and interruptibility awareness literature.
Virtual Inertia: Current Trends and Future Directions

The modern power system is progressing from a synchronous machine-based system towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent a major share of the generation, and the traditional approach of integrating them as grid following units can lead to frequency instability. Many researchers have pointed towards using inverters with virtual inertia control algorithms so that they appear as synchronous generators to the grid, maintaining and enhancing system stability. This paper presents a literature review of the current state-of-the-art of virtual inertia implementation techniques, and explores potential research directions and challenges. The major virtual inertia topologies are compared and classified. Through literature review and simulations of some selected topologies it has been shown that similar inertial response can be achieved by relating the parameters of these topologies through time constants and inertia constants, although the exact frequency dynamics may vary slightly. The suitability of a topology depends on system control architecture and desired level of detail in replication of the dynamics of synchronous generators. A discussion on the challenges and research directions points out several research needs, especially for systems level integration of virtual inertia systems.
Niche development and upgrading in the PV value chain: The case of local assembly of PV panels in Senegal

The paper presents a case study of the enabling and constraining factors for establishing an assembly factory for PV panels in Senegal. Within the last 5-6 years the market for both small and large scale PV has rapidly increased in Sub Saharan Africa (SSA)(Hansen et. al., 2014, 2015) and to stimulate and to service these markets assembly factories for PV panels has been established in South Africa, Ethiopia, Kenya, Burkina Faso and Senegal. So far, no research analysing the enabling and constraining factors for this upgrading or innovation has been published, and the paper is therefore both original and relevant with respect to the object of research. Establishment of assembly factories in a developing country context can be conceptualised not only in terms of development of a niche in a local innovation system, but also as upgrading in the global PV value chain influenced by national and international innovation policies. By combining the multilevel perspective on technological transitions and the value chain approach in studying establishment of local PV assembly factories the paper is adopting recent approaches to studying innovation systems in developing countries, and it conforms with the wish from the organisers to integrate these approaches as expressed under Track theme 9. research to understand the conditions for transition through upgrading in global value chains in and hence to contribute insight on effects of national innovation and for for green companies in The main question is: What are the main and for in the PV value chain in terms a local panels in Senegal
Socio-metabolic risk and tipping points on islands

Small Island Developing States (SIDS) face enormous sustainability challenges such as heavy reliance on imports to meet basic needs, tenuous resource availability, coastal squeeze, and reduced waste absorption capacity. At the same time, the adverse effects of global environmental change such as global warming, extreme events, and outbreaks of pandemics significantly hinder SIDS’ progress towards sustainable development. This paper makes a conceptual contribution by framing the vulnerability of small islands from the perspective of socio-metabolic risk (SMR). SMR is defined as systemic risk associated with the availability of critical resources, the integrity of material circulation, and the (in)equitable distribution of derived products and societal services in a socio-ecological system. We argue that specific configurations and combinations of material stocks and flows on islands and their ‘resistance to change’ contribute to the system’s proliferation of SMR. For better or for worse, these influence the system’s ability to consistently and effectively deliver societal services necessary for survival. By positioning SMR as a subset of systemic risk, the paper illustrates SMRs and tipping points on small islands using insights from three sectors: water, waste, and infrastructure. We also identify effective leverage points and adaptation strategies for building system resilience on small islands. In conclusion, our synthesis suggests that governing SMR on SIDS would mean governing socio-metabolic flows to avoid potential disruptions in the circulation of critical resources and the maintenance of vital infrastructures and services while inducing interventions towards positive social tipping dynamics. Such interventions will need strategies to reconfigure resource-use patterns and associated services that are sustainable and socially equitable.
Development of a Risk Score Model for Osteosarcoma Based on DNA Methylation-Driven Differentially Expressed Genes

Osteosarcoma (OS) is the commonest malignant bone tumor in adolescent patients, and patients face amputation, tumor metastasis, chemotherapy resistance, and even death. We investigated the potential connection between abnormal methylation differentially expressed genes and the survival rate of osteosarcoma patients. GSE36002 and GSE12865 datasets of GEO database were utilized for abnormal methylation differentially expressed genes, followed by function and pathway enrichment analyses, the protein-protein interaction network in the STRING database, and cluster analysis in the MCODE app of Cytoscape. The RNA-seq and clinical data from the TARGET-OS project of TCGA were used for univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses to predict the risk genes of osteosarcoma. 1191 hypermethylation-downregulated genes might function through plasma membrane, negative regulation of transcription from the RNA polymerase II promoter, and pathways, including transcriptional misregulation in cancer. 127 hypomethylation-upregulated genes were enriched in proteolysis, negative regulation of the canonical Wnt signaling pathway, and metabolic signaling pathways. The univariate Cox analysis revealed 638 genes (P < 0.01), including 50 hypermethylation-downregulated genes and 4 hypomethylation-upregulated genes, subsequently based on LASSO Cox regression analysis for 54 aberrant methylation-driven genes, and three genes (COL13A1, MXI1, and TBRG1) were selected to construct the risk score model. The three genes (COL13A1, MXI1, and TBRG1) regulated by DNA methylation were identified to relate with the outcomes of OS patients, which might provide a new insight to the pathological mechanism of osteosarcoma.