Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Granulation-Based Community Detection for Social Networks

Online social networks (OSNs) have become so popular that it has changed the Internet to a more collaborative environment. Now, a third of the world’s population participates in OSNs, forming communities, and producing and consuming media in different ways. The recent boom of artificial intelligence technologies provides new opportunities to help improve the processing and mining of social data. In this article, an algorithm that can detect communities in the OSNs using the concepts of granular computing in rough sets is proposed. In this information model, a social network as a rough set granular social network (RGSN) is modeled. A new community detection algorithm named granular-based community detection (GBCD) is implemented. This article also defines and uses two measures, namely, a granular community factor and an object community factor. The proposed algorithm is evaluated on four real-world data sets as well as computer-generated data sets. The model is compared with other state-of-the-art community detection algorithms for the values of modularity, normalized mutual information (NMI), Omega index, accuracy, specificity, sensitivity, and $F1$ -measure. The cumulative performance of the GBCD algorithm is found to be 3.99, which outperforms other state-of-the-art community detection algorithms.
Discrete-Time Framework for Analysis and Design of Digitally Current-Mode-Controlled Intermediate Bus Architectures for Fast Transient and Stability

In an intermediate bus architecture (IBA), a buck converter, while driving a constant power load (CPL), exhibits unstable poles in its control-to-output transfer function. This may result in limit-cycle oscillations due to the lack of sufficient damping, and an active damping using current-mode control (CMC) can stabilize the converter. However, existing small-signal stability results are not sufficient to ensure the fast-scale stability of the overall IBA system under digital CMC. This article proposes a discrete-time framework to derive necessary and sufficient stability conditions to meet both small-signal and fast-scale stability requirements of a mixed-signal CMC (MCMC) buck converter driving a CPL. The latter is a point-of-load (PoL) converter driven by MCMC with the switching frequency much faster than that of the former. Design methods are proposed for an enhanced stability boundary followed by a nonlinear controller-tuning method for near-time optimal transient recoveries for both the converters by considering a time-scale separation. A buck converter-based IBA prototype is developed, and analytical predictions are verified using the experimental results.
Entrepreneurial orientation, environmental characteristics, and business model innovation: a configurational approach

ABSTRACT Research in entrepreneurship has shown that business model innovation is an outcome of the co-evolution of enterprises and their environments. However, little attention has been focused on the complex interactions among its antecedents and how these interactions drive business model innovation. To fill this gap, this study draws upon a configurational framework, and proposes that business model innovation does not depends on a single condition, but rather on interactions between entrepreneurial orientation and environmental characteristics. Building on a fuzzy-set qualitative comparative analysis of 68 platform enterprises in China, this study found that innovativeness orientation is a necessary condition for business model innovation and five sufficient configurations could impel business model innovation. These five configurations could be grouped into three first-order equifinal solutions, which are labelled as 'pathfiner', 'warrior', and 'front-runner', respectively. In different solutions, risk-taking, proactiveness, and various environmental characteristics have a contingent relationship with business model innovation. These findings add to the research stream regarding entrepreneurial orientation as a multidimensional construct and highlight the advantages to explore multiple antecedents from a configurational perspective. Accordingly, this study also offers several practical implications for platform enterprises in emerging markets to innovate their business models and to deal with resource constraints and environmental dynamism.
Getting Insight Into Management Accounting And Control Systems: A Framework For A Case-Based Research Design For Emerging Markets

This paper explores the process of case research in social studies applicable to the domain of management accounting, with the aim of developing inductive theory. With the goal of providing a guiding framework for case-based research in the context of emerging markets, the paper makes several contributions. Firstly, it focuses on the social nature of management accounting by linking a sociological perspective of management accounting to theoretical research in this domain and to the contemporary understanding of management accounting that is disclosed in frameworks representing the best practices. Secondly, the paper summarizes the wide body of existing literature on case research to distill the relevant components of the case-study research method. Thirdly, this work takes into account emerging markets. This allowed to suggest relevant research strategies and an overall research framework considering the specifics of researchers’ access to collecting data and conducting a study within the limitations that doing research in emerging economies implies.
Machine learning models for renewable energy forecasting

Abstract As the world unanimously works towards utilizing non-conventional energy for powering industries, households, vehicles, etc., one of the key limiting factors is the fluctuation of energy availability by non-conventional energy sources. The power generated by wind turbines or photovoltaic cells is dependent upon factors that can’t be controlled such as wind speed, humidity, solar irradiance. In such a situation the integration of renewable energy into grids becomes difficult. Eventually, maintaining an equilibrium between the energy supply and demand can be erratic. This calls for forecasting the amount of energy available via non-conventional energy sources like wind and sun so that the transition to renewable energy can be done highly efficiently without destabilizing the power grid. As the renewable power industry has abundant data that can be exploited in renewable energy forecasting, machine learning techniques can revolutionize the way we deal with renewable energy. This paper describes the efficiency of Linear Regression, Neural Networks Regression, Random Forest Regression, and Extra Tree Regression models for forecasting solar irradiation available on Earth’s surface.
Crystal structure of 3-(1-benzyl-2-ethyl-4-nitro-1H-imidazol-5-ylthio)-propanoic acid, C15H17N3O4S

Abstract C15H17N3O4S, monoclinic, P21/c (no. 14), a = 8.7938(5) Å, b = 10.3071(4) Å, c = 18.0413(7) Å, β = 79.704(5)°, V = 1608.91(13) Å3, Z = 4, Rgt(F) = 0.0535, wRref(F2) = 0.1447, T = 293(2) K.
Information and Communication Technologies to Support Chronic Disease Self-Management: Preconditions for Enhancing the Partnership in Person-Centered Care

Objective In order to alleviate the pressure on health care systems exerted by the growing prevalence of chronic diseases, information and communication technologies (ICT) are being introduced to enable self-management of chronic diseases by supporting partnerships between patients and health care professionals. This move towards chronic disease self-management is accompanied by a shift in focus on integrating the patient with his or her perceptions on the chronic disease as a full-fledged partner into the health care system. This new perspective has been described as “person-centered care” (PCC). To date, information and communication technologies only partially build on the principles of PCC. This paper examines the preconditions of ICT to enable a person-centered approach to chronic disease management. Methods Using cancer treatment as a case study for ICT-enabled PCC, we conducted a comparative analysis of thirteen scientific studies on interventions presented as ICT-enabled PCC for cancer treatment, to answer the research question: What are the preconditions of ICT-enabled PCC in chronic disease management? Based on the intended and actual outcomes, we distilled in several analytic steps the preconditions of ICT-enabled PCC for chronic disease self-management. Results We distinguished four user-related preconditions of ICT-enabled PCC: (shared) decision making, personalized ICT, health-related quality of life, and efficiency. Conclusions We argue that these four preconditions together can improve people’s self-management of chronic diseases by strengthening the partnership between the patient and the healthcare professional. Moreover, the study revealed a discrepancy between intended and reported actual outcomes in terms of realizing person-centered care.
COMPARISON OF CHEMOTHERAPY RESPONSE AND ADVERSE EFFECTS OF DOUBLE-PLATINUM PLUS EGFR-TKI VERSUS DOUBLE-PLATINUM ALONE ON NSLCLC PATIENTS WITH DISEASE PROGRESSION AND EGFR-TKI TREATMENT

EGFR-TKI is the first-line therapy for EGFR-mutant patients. Nevertheless, patients will have disease progression (median PFS 10 – 12 months) due to resistance. The treatment options are still limited in developing countries for such cases, thus double-platinum chemotherapy is the next option. Although IMPRESS study reported no difference in terms of PFS and OS between double-platinum alone and double-platinum plus EGFR-TKI, several local studies reported benefit of continuing EGFR-TKI in combination with double-platinum chemotherapy (treatment beyond progression). This study aimed to compare chemotherapy effects of double-platinum plus EGFR-TKI versus double-platinum alone on patients with NSCLC progression after EGFR-TKI treatment. This was an analytical descriptive study using prospective cohort design, involving 30 patients with disease progression following EGFR-TKI treatment that met inclusion criteria in Dr. Soetomo Hospital. Subjects were divided into two groups: arm A (double-platinum plus EGFR-TKI) and arm B (double-platinum alone). Subjects were observed until 4 cycles of double-platinum chemotherapy. Subjective response (body weight and EQ5D questionnaire) was analyzed, chest CT scans were evaluated using RECIST criteria, and adverse effects were monitored. This study was conducted in accordance with GCP principles and has received ethics certificate from Dr. Soetomo Hospital ethics committee (No. 08/Panke.KKE/I/2017). The results showed that subject characteristics between two arms were insignificantly different (p=0.05). The most common EGFR mutation was exon 21 (50% on arm A and 60% on arm B). Chi square was tested on subjective response parameter (EQ5D (p=0.483)). T2 free sample was tested on semi-subjective parameter (body weight (p=1.00)). Comparison test on both groups after cycle 2 and 4 showed p value=0.05. Statistical test on adverse effect between both groups showed p value=0.526. As a conclusion, there was no significant difference between double-platinum and double-platinum plus EGFR-TKI on patients who had disease progression following EGFR-TKI treatment.
Characterization of Four Novel Plasmids from Lactobacillus plantarum BM4

Background: Lactobacillus plantarum is a widespread probiotic bacterium. Many plasmids from L. plantarum have been identiﬁed to encode some important phenotypic traits including carbohydrate metabolism, bacteriocin synthesis, and exopolysaccharide production. Objectives: The aim of this study was to identify and characterize the native plasmids from L. plantarum BM4. Methods: Lactobacillus plantarum BM4 was isolated from fermented meat in Guangxi Province, China, and characterized by 16S rRNA sequence. Four plasmids were isolated from L. plantarum BM4, sequenced, and characterized by the bioinformatics method. Moreover, the relative copy numbers of these plasmids were estimated using the droplet digital PCR method. Results: Fourplasmids,designatedaspBM1,pBM2,pBM3,andpBM4,wereisolatedfrom L.plantarum BM4. Bynucleotidesequencing, pBM1, pBM2, pBM3, and pBM4 were characterized as having sizes of 6069 bp, 7042 bp, 8131 bp, and 8892 bp, and G+C contents of 37.5%, 36.7%, 36.4%, and 34.5%, respectively. Nucleotide sequence analysis revealed 8, 10, 10, and 10 putative open reading frames (ORFs) for pBM1, pBM2, pBM3, and pBM4 plasmids, respectively. Based on sequence alignment, only pBM2 contained replication protein RepB and rep3, which contained a putative repeat origin of replication segment, indicating that the pBM2 belongs to the pUCL287 subfamily of theta-type replicons. Finally, the relative copy numbers of pBM1-4 were estimated to be 82, 24, 34, and 16, copies, respectively. Conclusions: Four novel plasmids were isolated from L. plantarum BM4 and characterized. These backbones can potentially be developed for use as a cloning or expressing vectors in biotechnology applications.
Taming Consumer Resistance for Taboo Products: The Case of PeeBuddy

Changes in business environments continually create opportunities for entrepreneurs to target specific emerging needs of their customers. The first disposable female urination device (FUD) PeeBuddy was launched in the Indian market in response to the emergent need among the urban women for a product facilitating safe usage of public washrooms, especially during travel. PeeBuddy is among the many social innovations (Alvord et al., 2004, p. 262), making prominent appearances in emerging economies battling resource constraints (Austin et al., 2006). The purpose of this case is to understand the ideation and execution of this social innovation in the context of countries like India where cultural traditions and subjective norms are held in high regards. In India, issues surrounding women’s personal hygiene are considered taboo for public communiqué. This case explores the use of social media marketing approaches used to circumvent extant cultural barriers hindering the adoption of PeeBuddy, which may be considered as a taboo product in the context of the Indian market. This case is aimed at students undertaking advanced marketing management and consumer behaviour courses to sensitize them about subjective norms and their deep integration within culturally dominated communities. It will establish the need for adopting innovative methods for marketing taboo products and how creativity can be used to retail such products.
THE VALUE OF DIFFERENT TUBERCULOSIS (TB) CASE DETECTION STRATEGIES IN CHILDHOOD TB CONTROL IN A HIGH-TB BURDEN POPULATION DENSE AREA, WESTERN KENYA, 2012-2015: A CLUSTER RANDOMIZED TRIAL

Contact investigation is recommended for close contacts of TB patients to identify undiagnosed cases of active and latent TB to initiate them on curative and preventive therapy respectively. Because contact invitation is conducted in Kenya, the value of TB contact investigation in childhood TB control is unknown. To compare the yield of contact investigation (intervention arm) to contact invitation (control arm) in contributing to childhood TB control, a cluster randomized trial was conducted in Kisumu County between 2014 and 2015 a period prior to the implementation of standardized contact investigation. This was done to compare TB cases diagnosed and children receiving IPT in the pre- intervention (2012-2013) and intervention (2014-2015) years, and in the intervention years using a minimum sample size of 15 per arm. Of 77 facilities identified for the study, 65 facilities were randomized to a contact screening strategy; a TB contact investigation strategy in isolation (n=4), in combination with health facility screening (n=19), or in combination with both enhanced facility screening and mobile units (n=31) with the remainder, (n=11) randomized to the standard approach i.e. TB contact invitation. Facilities distribution did not differ by category of services or patient type. In the pre-intervention and post-intervention years, TB number of TB cases diagnosed in children increased by 20 (75% from intervention arm). During the intervention years TB cases decreased by 17 (29% from intervention arm); the intervention arm contributed to 100% and 75% of the children put on IPT whose implementation had just begun. Contact investigation enhanced childhood TB control in comparison to routine approaches. Critical support ought to be availed to the TB screening cascade to facilitate contact investigation and IPT implementation as well as ingrain contact investigation within existing community health systems.
Restless Legs Syndrome in Patients with Behçet's Disease and Multiple Sclerosis: Prevalence, Associated Conditions and Clinical Features.

Introduction To investigate the prevalence and characteristics of Restless Legs Syndrome (RLS) in patients with Behçet's Disease (BD) and Multiple Sclerosis (MS). Methods Consecutive patients with BD and MS seen in the outpatient clinic were included in the study. As a control group, volunteer subjects without a known peripheral or central nervous system disorder were included. The BD group was divided into two sub-groups as BD with neurological involvement [Neuro-Behçet's Disease (NBD)] and BD without any neurological involvement (other BD) for further evaluation. Data on demographic characteristics, medical history and family history were collected, and all patients underwent neurological examination. The patients were evaluated for the presence of diagnostic criteria for RLS. The features and severity of RLS were evaluated in patients with RLS using Restless Legs Syndrome Identification Form, and the International Restless Legs Syndrome Study Group (IRLSSG) Rating Scale. The clinical and radiological findings of patients with BD and MS were retrieved from their medical files. Results The study included a total of 96 patients with BD (mean age 39.9±11.8; 51 males; 41 patients with NBD) and 97 patients with MS (mean age 34.97±4.1 years; 24 males). There were 100 healthy control subjects (mean age 36.18±11.10 years; 46 males). RLS was more prevalent in MS (22.8%) and NBD (22%) groups compared to the control group (10%; p=0.004 and 0.029, respectively) with a statistically significant difference. The prevalence of RLS was higher in MS patients with less disability. Most severe RLS symptoms were observed in the MS group. The rate of sleep disorders was also higher in MS group. Although stress appeared to be a factor worsening RLS in all groups, its prevalence was higher in the MS group (p=0.011). There was no correlation between the distribution of magnetic resonance imaging lesions and RLS in both MS and NBD groups. Conclusions It is well established that RLS can accompany disorders involving the peripheral and central nervous systems such as all types of peripheral neuropathy, myelopathy, and Parkinson's disease. The present study showed that MS and NBD also seem to be a risk factor for RLS, being associated with more severe symptoms.
Cognitive Processing of Sound Effects in Television Sports Broadcasting

This study focuses on 2 sound elements of sports broadcasting. Specifically, this study sought to explore the differential and combinational effects of commentary sound and on-site spectator sound on the motor resonance and attentional process of viewers. To analyze, this study selected electroencephalogram (EEG) time-frequency analysis using wavelet transforms as a method to observe the viewers’ direct brain responses. The overall findings suggest that delivering on-site spectator’s sound needs to be regarded as important as it can have a significant effect on viewers’ sports-viewing experience.
Determinação de contaminantes inorgânicos em pescados consumidos em São Paulo como contribuição à garantia da segurança alimentar

TAPPIZ, B. Determination of inorganic contaminants in fish consumed at São Paulo city as a contribution for assuring food safety. 2019, 105 p. Dissertação (Mestrado em Tecnologia Nuclear) Instituto de Pesquisas Energéticas e Nucleares – IPEN – CNEN/SP. São Paulo. Fish consumption is important for human health because this food is a source of high-quality protein, vitamins, essential nutrients and two kinds of omega-3 polyunsaturated acids. However, fish consumption may present risk to human health if contaminated by toxic substances. With the aim of evaluating the content of essential and toxic elements, the techniques of Instrumental Neutron Activation Analysis and Atomic Absorption Spectrometry were used to determine As, Br, Cd, Cl, Co, Cr, Cs, Fe, Hg, K, Mg, Mn, Na, Pb, Rb, Sb, Se and Zn in the edible tissues (fillet) of six of the most consumed fishes at São Paulo city: whitemouth croaker – Micropogonias furnieri (Desmarest, 1823), smooth weakfish – Cynoscion leiarchus (Cuvier, 1830), common snook – Centropomus undecimalis (Bloch, 1792), Brazilian sardine – Sardinella brasiliensis (Steindachner, 1879), bluefish – Pomatomus saltatrix (Linnaeus, 1766) and lebranche mullet – Mugil liza (Valenciennes, 1836). To validate the analytical methods for accuracy, z-score and HorRat values were applied to certified reference materials analyzed under the same conditions of samples. The elements Br, K and Na were determined by two irradiation modalities, and the Student’s ttest was used to verify whether there were significant differences between the modalities. In the analysis of essential and potentially toxic elements, it was possible to create a database for Br, Cl, Co, Cs, Fe, K, Mg, Mn, Na, Rb, Se and Zn for potential future discussions. In order to assess food safety risks, the levels of As, Cd, Hg and Pb were compared with the Brazilian’s law and international values. Regarding food safety, Cd and Pb contents were bellow all technical limits used in this study. As for As, most part of this element may be in organic form, therefore the Hg analysis was determinant. In general, there would be no risk in the consumption of Brazilian sardine, smooth weakfish, lebranche mullet, whitemouth croaker and common snook, while for bluefish it was inconclusive.
Phase II Double-blinded Randomized Controlled Clinical Trial of Chondroitinase ABC by Intraspinal Injection for Treatment of Severe Chronic Spinal Cord Injury in 60 Pet Dogs

v CHAPTER 1 GENERAL INTRODUCTION . 1 Pathophysiology of spinal cord injury . 1 Central nervous system plasticity . 11 Clinical translation of chondroitinase ABC . 17 Conclusion . 24 CHAPTER 2 CLINICAL TRIAL DESIGN . 25 Pre-study planning . 25 Patient selection and management . 28 Patient randomization . 33 Chondroitinase ABC preparation and delivery . 34 Summary statistics . 37 CHAPTER 3 GAIT EVALUATION . 40 Introduction . 40 Materials and methods . 46 Results . 50 Discussion . 52 CHAPTER 4 ELECTROPHYSIOLOGIC EVALUATION . 54 Introduction . 54 Materials and methods . 57 Results . 60 Discussion . 63
Real-time Volume Rendering Interaction in Virtual Reality

Volume visualization using Direct Volume Rendering (DVR) techniques is used to view information inside 3D volumetric data. Data is classified using a transfer function to emphasize or filter some parts of volumetric information, such as that from Computed Tomography (CT) or Magnetic Resonance Imaging (MRI). In this paper, we introduced an application for real-time volume rendering interaction with 1D transfer functions using Virtual Reality (VR) technology based on the Oculus Rift headset and Oculus Touch controllers. Resulting images were visualized stereoscopically at 60 frames per second using a ray-casting shader, which works based on Graphics Processing Unit (GPU). To evaluate the system, 20 participants interacted with the application to complete three tasks, including a free viewpoint scan, clipping planes renderer, and an editable transfer function in the virtual environment. Then, a survey was carried out using a questionnaire to gather data. Findings showed that the average usability score for the application was 87.54, which suggested that it was highly usable.