Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiobjective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection

Community detection in complex networks is significant to social network analysis. Most of the algorithms take advantage of single-objective optimization methods, which may not be effective for complex networks. Compared with single-objective algorithms, multiobjective evolutionary algorithms can avoid local optimization. However, multiobjective evolutionary algorithms often encounter problems of excessive search space and low efficiency. To solve these issues, this study introduces network embedding into the multiobjective particle swarm algorithm and maps nodes into a low-latitude space, thereby effectively reducing the search space while increasing search efficiency via a consensus propagation strategy. Experimental results demonstrate that a novel effective algorithm based on multiobjective particle swarm optimization (NE-PSO) performs effectively and has competitive performance in comparison with state-of-the-art approaches on synthetic and real-world networks, especially the large-scale ones.
A Burkean Dialectical-rhetorical Perspective on Shifting Design Trends

ABSTRACT This paper explores the dialectical-rhetorical constitution of stylistic design trends by analyzing a prominent shift in interface design esthetics, from “skeuomorphism” to “Flat Design”. The case study serves to illustrate the continuous negotiation between opposite design positions or “design dialectics” in the debate surrounding the so-called “Flat Design revolution” as well as related historical design arguments. This paper further considers the concerns related to accelerated trend dynamics, particularly in terms of sustainability. Esthetic obsolescence, whereby products are prematurely discarded, is arguably exacerbated by highly persuasive dialectical design rhetorics. In response to this problem, this paper considers the potential of Kenneth Burke’s dialectical-rhetorical approach to criticism, along with his notion of “comic framing”, as a means toward “discounting” polemical design rhetorics.
Transcatheter Heart Valve Thrombosis: Incidence, Predictors, and Clinical Outcomes

Transcatheter Heart Valve Thrombosis: Emerging Concerns THV-reduced leaflet mobility was first described by Makkar et al. in patients enrolled in the Portico Re-sheathable Transcatheter Aortic Valve System US Investigational Device Exemption (PORTICO IDE) trial, and the Assessment of Transcatheter and Surgical Aortic Bioprosthetic Valve Thrombosis and Its Treatment with Anticoagulation (RESOLVE) and Subclinical Aortic Valve Bioprosthesis Thrombosis Assessed with Four-Dimensional Computed Tomography (SAVORY) registries. Patients underwent a dedicated 4D, volume-rendered computed tomography (CT) scan at different time intervals post TAVR with reduced leaflet motility ranging from 13 to 40 %. Although the study was underpowered for clinical outcomes, several important findings were described: (i) the incidence of stroke or transient ischemic attack (TIA) was higher in patients with reduced leaflet mobility (18 % versus 1 %; p=0.007); (ii) patients on therapeutic anticoagulation with warfarin had a lower incidence of reduced leaflet mobility compared with patients on dual antiplatelet therapy (0 % versus 51 %; p=0.007); and (iii) therapeutic anticoagulation completely resolved the CT finding of reduced leaflet mobility.
Creating an Online Interprofessional Collaborative Team Simulation to Overcome Common Barriers of Interprofessional Education / Eine internetbasierte, interprofessionelle Teamsimulation zur Überwindung organisatorischer Hürden in der interprofessionellen Ausbildung

Abstract Introduction Coordinating student schedules, physical space, and faculty time are commonly reported barriers to successful interprofessional education. Use of online technologies to overcome these barriers and support online team simulation is a topic that deserves serious academic review. Methods The Interprofessional Plan of Care - Simulated E-hEalth Delivery System (IPOC-SEEDS) is a student-directed online simulation where students experience a collaborative plan of care meeting with simultaneous team electronic health record utilization. The authors describe the IPOC-SEEDS simulation to serve as a model for replication or modification. IPOC-SEEDS objectives address Interprofessional Education Collaborative competencies (IPEC), electronic health record (EHR) navigation, simulation effectiveness, and technology utilization. Results Overall, IPOC-SEEDS objectives were effectively met through simulation evaluations, student-led debriefing evaluations, in-person student feedback, and faculty feedback results supporting the online simulation and technology evolutions. The objectives, based on IPEC and informatics competencies, were achieved. Students from nursing, nutrition, pharmacy, occupational therapy, and health information management participated in the simulation using EHR and online meeting software, receiving valuable interprofessional practice. Technology utilization results were adequate, but did improve in subsequent simulations after modifying the technology selected. Discussion The simulation provided an experience where students demonstrated interprofessional collaborative skills that they can use in their future practice. Online technologies can provide a platform for the high-quality interprofessional simulation to address common interprofessional education barriers and provide access to interprofessional education for distance-learning students and providers. Online simulation developers (hospitals, health departments, universities) can use the authors’ process steps as a model for online simulation replication.
Typical Rett Syndrome in a young boy with hemizygous c.316C>T mutation in MECP2 gene

1Istanbul University, Istanbul Faculty of Medicine, Department of Child and Adolescent Psychiatry, Istanbul Turkey 2Istanbul Okmeydanı Training and Research Hospital, Department of Child and Adolescent Psychiatry, Istanbul Turkey 3Istanbul Medeniyet University, Faculty of Medicine, Department of Medical Genetics, Istanbul Turkey 4Ege University, Faculty of Medicine, Department of Pediatric Rheumatology, Izmir Turkey
Acceptability and usability of smartphone-based brainwave entrainment technology used by individuals with chronic pain in a home setting

Background: Brainwave entrainment (BWE) using rhythmic visual or auditory stimulation has many potential clinical applications, including the management of chronic pain, where there is a pressing need for novel, safe and effective treatments. The aim of this study was to gain qualitative feedback on the acceptability and usability of a novel BWE smartphone application, to ensure it meets the needs and wishes of end users. Methods: Fifteen participants with chronic pain used the application at home for 4 weeks. Semi-structured telephone interviews were then carried out. A template analysis approach was used to interpret the findings, with an initial coding template structured around the constructs of a theoretical framework for assessing acceptability of healthcare interventions. Structured data analysis generated a final modified coding structure, capturing themes generated across participants’ accounts. Results: The four main themes were ‘approach to trying out the app: affective attitude and ethicality’, ‘perceived effectiveness’, ‘opportunity costs and burden’ and ‘intervention coherence and self-efficacy’. All participants were willing to engage with the technology and welcomed it as an alternative approach to medications. Participants appreciated the simplicity of design and the ability to choose between visual or auditory stimulation. All the participants felt confident in using the application. Conclusion: The findings demonstrate preliminary support for the acceptability and usability of the BWE application. This is the first qualitative study of BWE to systematically assess these issues.
Multi-Stage Transfer Learning System with Light-weight Architectures in Medical Image Classification

Transfer Learning methods are extensively applied with standard CNN architectures for various medical diagnoses. However, these architectures are computationally expensive, tend to be over parameterized, and requires a relatively large labeled datasets which are often not available in the medical image domain. Accordingly, this paper proposes a Multi-Stage Transfer Learning System using lightweight architectures to address problems with limited data and to improve training time. Preliminary results suggest that our model performed well on CT Head images over traditional single-stage transfer learning.
An edge-sensitive simplification method for scanned point clouds

Due to the huge number of points on three-dimensional point clouds captured by optical scanning devices, point-based simplification is a crucial step in model reconstruction. However, the loss of edge features of industrial parts after such simplification reduces reconstruction accuracy. This paper presents an edge-sensitive, point-based simplification method to eliminate redundant points and preserve more edge feature details. Firstly, a new geometrical descriptor is created for each point to generate a geometrical domain. A clustering scheme is then designed by applying two different clustering algorithms, to split the point cloud in the geometrical domain and the spatial domain respectively. The proposed method is capable of preserving edge features well, while reducing the original number of points to 10% or even 5%. The proposed method is compared with other simplification methods and the experimental results indicate that it performs better in simplifying industrial parts.
Pathomorphology of the femoral head lesion and some clinical and morphological dependences in patients with dysplastic coxarthrosis

Quantitative morphological changes in the tissues of the proximal epimetaphysis of the femur with dysplastic coxarthrosis may differ from those observed in the hip joint in other diseases. Objective: based on the study of the pathohistological characteristics of the femoral head tissue and some frequency differences between them, establish correlation dependencies between clinical and morphological parameters in dysplastic coxarthrosis patients. Methods: we studied femoral head tissue in 22 patients. Clinical parameters were taken into account — the age of patients, the duration of the disease, the intensity of the pain syndrome according to the visual analogue scale. Based on the detected pathohistological changes in the tissues of the femoral head, several morphological gradation indices were taken into account, which diversify the degree of severity of dystrophic-destructive changes. Results: in the complex of pathomorphological changes in femoral head, the most significant are: deformation of the articular surface, degeneration and destruction of articular cartilage, bone-cartilaginous growths, pathology of subchondral spongiosis tissue. They occur with different frequencies and in some cases are combined at different degrees of severity. Between the individual clinical manifestations and morphological indices of the condition of the femoral head tissues, correlation dependencies are established, which should be taken into account when predicting the degree of hip joint lesion in dysplastic coxarthrosis. Conclusions: the revealed morphological features and clinical and morphological dependencies are important for planning the fixation of the femoral component of the endoprosthesis in the case of hip replacement in patients with dysplastic coxarthrosis of different time of presentation, the type of displacement of femoral head by Crowe and the degree of disruption of joint function.
Porosity and permeability prediction using pore geometry structure method on tight carbonate reservoir

Porosity and Permeability is an essential petrophysical parameter of hydrocarbon reservoirs for oil and gas production. It’s can be immediately measured using cores taken from the reservoir in the laboratory and deal with the high cost. Many empirical, statistical, and intelligent approaches were suggested to predict permeability in un-cored wells based on wireline logs. The main objective of this study is to predict the porosity and permeability values in a tight carbonate reservoir. In this study, the calculation of permeability was done using the Schlumberger, East, Morris Biggs Oil, Morris Biggs Gas, and PGS (Pore Geometry Structure) methods based on core, logs, and CT-Scans data. The determination of porosity values from CT-Scan performed on 20 core plugs from two data cores, each core plugs was plotted as many as 15 points. The output is the CT-Porosity value that will be used for the distribution of predictions of PGS permeability. Based on the result, porosity and permeability range value from 5 – 11%; 0.015 – 24.5 mD and presents a poor to fair reservoir quality.
Analysis and Comparison of the Radiated Electromagnetic Interference Generated by Power Converters With Si MOSFETs and GaN HEMTs

In this article, the effects of the parameters of GaN HEMTs and Si mosfets and the load conditions on the radiated electromagnetic interference (EMI) are analyzed based on the compositions of the equivalent noise voltage sources. These compositions include the rising and falling edges of the switching voltages, the zero-voltage-switching voltage drops and the parasitic ringing. The radiated EMI from two identical dual-active bridge converters with GaN HEMTs and Si mosfets is investigated and compared. Experiments were conducted to validate the analysis.
Why did Medical Graduates Appreciate Mentored Student Project? Perspectives of Two Theories

Background: Medical doctors have to develop in professionalism in addition to become competent in clinical skills. Therefore, educators in Melaka Manipal Medical College have inculcated personal and professional development (PPD) projects into medical curriculums. The projects were in the form of Role Plays/Narratives/Creative writing and Mentored Student Project (MSP). Short terms outcomes of the projects were evaluated, and the research disclosed the positive effect of all PPDs on medical students. However, the long-term effect was yet to be evaluated. The findings of the previous study have not explained why those PPD projects are successful. While twenty fresh medical graduates were asked to reflect on one best learning experience as a qualitative evaluation of the programme, students’ appreciation of MSP disclosed. This study aimed to explore the students’ reflection to identify the reasons for their appreciation of MSP and the long-term effect of it. Study Design: Qualitative research. Methodology: Three reflective writings by fresh graduates were analyzed using the interpretive phenomenological analysis (IPA) approach. Students expressed their conscious perceptions about Original Research Article Moe et al.; AJESS, 6(2): 41-47, 2020; Article no.AJESS. 53130 42 MSP in the form of words in their reflections. The researcher carefully read the reflections and interpret the words and phrases to catch the students’ perception of MSP. Results: The qualitative analysis revealed the reasons for participating in MSP and their appreciation about MSP. The main reason for students’ participation in MSP was to fulfill the requirement of the medical programme although one student mentioned that she was interested in MSP due to the nature of MSP. Four themes were formulated as reasons for their appreciation of MSP: (1) having an opportunity to choose their research topic, (2) the presence of a mentor to guide each student group, (3) opportunity for the poster presentation on results of MSP and (4) satisfaction with the overall outcome of the MSP. Conclusion: This study highlights the long-term impacts of MSP on students which matched with the expected learning outcomes set by Ministry of Education Malaysia. The analysis disclosed not only the outcome but also the process of MSP contribute for its success.
Torsional behaviour of reinforced concrete beams retrofitted with aramid fiber

Retrofitting is an alteration of existing member or component of the structure. In civil engineering point of view, it is called strengthening of the old structure. Deterioration of structures may be due to aging, corrosion, failure of joints, earthquake forces, increase in service loads, etc. Such structures need urgent repair, retrofitting and strengthening to avoid collapse, cracking and loss in strength or deflection. Advanced techniques are required to be developed for the repair of structural components to replace conventional techniques. This paper focuses exclusively on torsional behaviour of Reinforced Concrete (RC) beams and retrofitted RC beams wrapped with aramid fiber. Beams were retrofitted with aramid fiber by full wrapping and in the form of 150 mm wide strips at a spacing of 100 mm, 150 mm, 200 mm respectively using epoxy resin and hardener. A total 15 numbers of RC beams of 150 mmx300 mmx1300 mm in size were cast, 3 beams are tested as control specimens, and 12 beams are tested for torsion up to the failure and then retrofitted with aramid fiber. Experimental results are validated with the help of data obtained by finite element analysis using ANSYS. The full wrapping configuration of aramid fiber regains 105% strength after retrofitting. With the increase in spacing of fabric material, torsional strength reduces to 82% with about 45% saving in material.
Strategies to enhance the reliability of flow quantile prediction in the gauged and ungauged basins

The precise reproduction of different flow regimes in both gauged and ungauged watersheds is crucial for managing environmental flow and water quality requirements. However, the ability of hydrological models to reproduce flow quantiles (FQs) is often influenced by the process of calibrating the most dominant parameters through traditional parameter estimation methods. This research proposes a systematic parameter estimation approach to improve the credibility of the hydrologic model in reproducing FQs in gauged and ungauged watersheds through the following steps: (a) implementation of parameter sensitivity analysis to identify the dominant parameters, (b) initial estimation of the sensitive parameter values, (c) an iterative search for the optimal value of the dominant parameter in reproducing FQs and (d) regionalization of parameters to estimate FQs in the ungauged watersheds. The analysis shows the highest sensitivity of the runoff curve number (CN2) in simulating the hydrologic process in all test watersheds. Moreover, the best value of CN2 was found to be different for each flow quantile. Therefore, CN2 was updated for reproduction of FQs, which resulted in an overall average improvement of the regionalized model accuracy (across all test watersheds and flow quantiles) by 37 and 46% during the calibration and validation periods, respectively. The spatiotemporal dynamics of the water balance components that often control the behaviours of FQs in both the gauged and ungauged watersheds were also quantified. The results show a wide range of spatiotemporal variations for the majority of the water balance components.
The Groundwater Demand for Industrial Uses in Areas with Access to Drinking Publicly-Supplied Water: A Microdata Analysis

This study examines, from an economic perspective, the factors influencing the decision of companies to use groundwater or not, in a context in which they have access to drinking publicly-supplied water and can also opt for self-supplying groundwater, and then estimates its groundwater demand. The Heckman two-stage model is applied, using microdata of a sample of 2579 manufacturing and service companies located in Zaragoza (Spain). The results of the first stage show that companies have economically rational behavior in the choice of their water supply sources: the probability to capture groundwater depends negatively on its cost and positively on the cost of publicly-supplied water. The results of the second stage indicate that the demand for self-supplied groundwater is normal, but inelastic (elasticity of −0.50), and that self-supplied and publicly-supplied water are substitutive inputs, where the cross-elasticity of the demand is much higher than the direct elasticity. These results warn of the undesirable consequences, on overall efficiency and environmental sustainability, of the lack of a volumetric fee that charges companies with the environmental and resource costs caused by the extraction of groundwater and emphasize the need for integrated management of all water resources.
Classification Model for Bullying Posts Detection

Nowadays, many research tasks are concentrating on Social Media for Analyzing Sentiments and Opinions, Political Issues, Marketing Strategies and many more. Several text mining structures have been designed for different applications. Harassing is a category of claiming social turmoil in different structures and con-duct toward a singular or group, to damage others. Investigation outcomes demonstrated that 7 young people out of 10 become the casualty of cyber bullying. Throughout the world, many prominent cases are existing due to the bad communications over the Web. So there could be suitable solutions for this problem and there is a need to eradicate the lacking in existing strategies in dealing problems with cyber bullying incidents. A prominent aim is to design a scheme to alert the people those who are using social networks and also to prevent them from bullying environments. Tweet corpus carries the messages in the text as well as it has ID, time, and so forth. The messages are imparted in informal form and furthermore, there is variety in the dialect. So, there is a requirement to operate a progression of filtration to handle the raw tweets before feature extraction and frequency extraction. The idea is to regard each tweet as a limited blend over a basic arrangement of topics, each of which is described by dissemination over words, and after that analyze tweets through such topic dispersions. Naturally, bullying topics might be related to higher probabilities for bullying words. An arrangement of training tweets with both bullying and non-bullying texts are required to take in a model that can derive topic distributions from tweets. Topic modeling is used to get lexical collocation designs in the irreverent content and create significant topics for a model.
Organisational management through performance indicators

The performance indicators are essential for showing with clear measures the company's performance, according to the information needs exposed by the administration, however is a need to move forward in the process to promote the strategic alignment and prepare them for implementation of the strategy. This research aims to propose a method of support for the improvement of management of companies through the integration of processes with the strategic guidelines. The method was developed from the combination of a strategic management methodology based on performance indicators and process management. The results with the partial application of the method were satisfactory because they show that it extends the vision of the manager and approaches the operational and the strategy. This contributes not only in the case of the organisation analysed, but also for companies from other areas of activity, in order to perform a more effective and competitive management.