Miracle-dz/UniFAR-FTUs huggingface dataset:
Histopathological and Clinical Findings of Biopsy-Proven Focal and Segmental Glomerulosclerosis: A Retrospective Study

Background Focal segmental glomerulosclerosis (FSGS) is characterized by the presence of glomerular damage on histopathological examination. The major defining symptom of FSGS is proteinuria, which indicates damage to the glomerular filtration barrier. Additionally, FSGS is the most common cause of primary nephrotic syndrome. However, in Saudi Arabia, there is a paucity of research on this topic. Therefore, this study was designed to examine the clinical features, laboratory findings, and presence of comorbidities in patients with FSGS to determine their effects on clinical outcomes. Methods We retrospectively analyzed the histopathological and clinical data of patients diagnosed with FSGS via biopsy at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, during the period 1989-2020. Biopsy samples were labeled according to the Columbia classification as tip, perihilar, cellular, collapsing, or not otherwise specified (NOS). Results We included 39 children and 21 adults. Males accounted for 54.1% of the sample. Hypertension was the most common comorbidity. Regarding FSGS subtypes, 60.9% of the lesions in the adult patients were collapsing lesions, followed by NOS (26.1%). In pediatric patients, 36.8% of the lesions were NOS, followed by collapsing lesions (28.9%). We also observed a very low rate of remission. In both age groups, the most common clinical presentation was nephrotic syndrome. Conclusion We found a high prevalence of collapsing and NOS FSGS subtypes in both the adult and pediatric age groups. The most prevalent outcome was the persistence of nephrotic syndrome with low rates of remission.
Material Characteristics of Fabricated Resin Carbon Nanotube Reinforced and Resin Glass Fiber Carbon Nanotube Reinforced Composites

Due to high mechanical strength, carbon nanotubes (CNTs) are being considered as nanoscale fibres to enhance the performance of polymer composite materials. The two different types of composite reinforced polymers are fabricated with correct proportions with CNTs for better mechanical efficiency. Two types of CNT-based composites are resin carbon nanotube reinforced and resin glass fiber carbon nanotube reinforced. The reinforced CNT composite polymers are SEM, EDAX and XRD analysed for unified structural stability.
SIMULASI MODEL DISPERSI POLUTAN KARBON MONOKSIDA DI PINTU MASUK TOL (Studi Kasus Line Source Di Ruas Tol Dupak, Surabaya )

Polusi udara adalah masalah yang sangat penting karena berkaitan dengan emisi kendaraan bermotor, yang mengandung SO2, CO2, CO, NOx, dan gas – gas lainnya. Simulasi model dispersi udara adalah salah satu cara/metode untuk mempelajari kualitas udara yang sangat dibutuhkan dalam hal ini. Hal utama yang dibahas dalam penelitian ini adalah dispersi emisi CO dari kendaraan bermotor roda empat yang memasuki pintu masuk tol Dupak, Surabaya. Di dalam penelitian ini digunakan Gaussian model line source untuk simulasi model dispersi polutan CO. Perhitungan konsentrasi CO menggunakan rumus : C ( x, z ) = Q/(2π)^1/2 u σz. exp(-1/2 h^2/σ^2 z) Dalam proses simulasi komputer, perlu dikembangkan program di dalam perhitungan konsentrasi CO. Hal ini penting untuk mengetahui secara singkat hasil perhitungan numerik dari model dispersi CO di tol Dupak. Karena itu diperlukan bahasa pemrograman Fortran dan software Surfer, yang mana software ini akan digunakan untuk visualisasi hasil dari perhitungan numerik menggunakan bahasa pemrograman Fortran tersebut. Hasil ini kemudian digunakan pada bagian analisis dan pembahasan. Kata kunci: model dispersi udara, Gaussian model line source, tol Dupak, CO
Parallel Operation of Microgrid Inverters Based on Adaptive Sliding-Mode and Wireless Load-Sharing Controls

This study proposes a new solution for the parallel operation of microgrid inverters in terms of circuit topology and control structure. A combined three-phase four-wire inverter composed of three single-phase full-bridge circuits is adopted. Moreover, the control structure is based on adaptive three-order sliding-mode control and wireless load-sharing control. The significant contributions are as follows. 1) Adaptive sliding-mode control performance in inner voltage loop can effectively reject both voltage and load disturbances. 2) Virtual resistive-output-impedance loop is applied in intermediate loop to achieve excellent power-sharing accuracy, and load power can be shared proportionally to the power rating of the inverter when loads are unbalanced or nonlinear. 3) Transient droop terms are added to the conventional power outer loop to improve dynamic response and disturbance rejection performance. Finally, theoretical analysis and test results are presented to validate the effectiveness of the proposed control scheme.
Immune Responses in SARS-CoV-2, SARS-CoV, and MERS-CoV Infections: A Comparative Review

Coronavirus, discovered in the 1960s, is able to infect human hosts and causes mild to serious respiratory problems. In the last two decades, the severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been recognized. It has long been demonstrated that MERS-CoV binds to dipeptidyl peptidase 4 and SARS-CoV binds to angiotensin-converting enzyme 2. A “cytokine storm” is the main pathophysiology of aforementioned viruses. Infiltration of neutrophils at the site of the infection is a risk factor for the development of acute respiratory distress syndrome and death. The new coronavirus, SARS-CoV-2, has infected more people than SARS-Cov and MERS-CoV as it can easily be transmitted from person to person. Epidemiological studies indicate that majority of individuals are asymptomatic; therefore, an effective and an efficient tool is required for rapid testing. Identification of various cytokine and inflammatory factor expression levels can help in outcome prediction. In this study we reviewed immune responses in SARS-CoV, Mers-CoV, and SARS-COV-2 infections and the role of inflammatory cells.
Dynamic topology control algorithm for node deployment in mobile underwater wireless sensor networks

Sensors in underwater wireless sensor networks (UWSNs) can drift up to 3 m/s due to ocean currents, marine organisms, or passing vessels. In existing node deployment and localization techniques, node mobility and network disconnections are not taken into account. This article proposes a dynamic topology control algorithm for node deployment (DTCND) in mobile UWSN. This work aims to monitor the node mobility to predict nodes' location for ensuring coverage and connectivity. The sensor nodes are deployed randomly at different depths. The anchor nodes observe the signal quality index, energy drain rate, and node density at every time interval and detect node disconnections based on the variations in these observed metrics. After receiving the beacon messages from the anchor nodes, the courier nodes incline to move toward the target region for satisfying the coverage and connectivity constraints. Simulation results show that the proposed algorithm attains 5% higher connectivity when compared to energy‐efficient localization algorithm (EELA) and 9% higher connectivity when compared to adaptive triangular deployment algorithm (ATDA). The residual energy is also higher by 3% and 18% when compared to EELA and ATDA, respectively. The deployment cost and delay of DTCND also decrease when compared to EELA and ATDA, which results into efficient data collection.
The «PBL WORKING ENVIRONMENT» as interactive and expert system to learn the problem-based learning method

The «PBL working environment» is a virtual environment developed in the framework of SCENE project (profeSsional development for an effeCtive PBL approach: a practical experiENce through ICT-enabled lEarning solution), co-funded by the European Lifelong Learning Program. The «PBL working environment» is devoted to prepare headmasters and teachers of secondary and vocational schools to use ProblemBased Learning (PBL) pedagogy effectively. It is a student-centered pedagogy where learners are «actively» engaged in real world problems to solve or challenges to meet. Students develop problem-solving, self-directed learning and team skills. The «PBL working environment» is an virtual tool including three main elements:e-learning platform, virtual facilitator and PBL repository. Teachers, trainers and headmasters/school managers learn the PBL pedagogy by attending an on-line course (e-learning platform) delivered through the «inductive method». It allows learners to experience PBL approach, by practicing it stage by stage, and then learn to turn practice into theory by abstracting their experience to build a theoretical understanding. Since generating the proper scenario is the most critical aspect of PBL, after benefiting from the on-line course, users can benefit from a further support: the Virtual Facilitator. It provides tips and hints on how correctly design a problem scenario and by asking questions to collect data on user's specific needs. The Virtual Facilitator is able to provide a/or more suitable example(s) which match as closest as possible the teacher/trainer need. Finally, users can share problem scenarios and projects of different subjects of studies and with different characteristics uploaded and downloaded in the PBL repository.
Effective Programs on Suicide Prevention: Combination of Review of Systematic Reviews with Expert Opinions

Background: Health managers often do not have adequate information for decision making on what strategy makes an effective impact on suicide prevention. Despite the availability of global Suicide Prevention Programs (SPP), no previous investigation has developed combinations of a review study with expert opinions. This study was aimed to identify effective programs for suicide prevention. Methods: We used two methods for selecting the effective SPP. (1) review of systematic reviews: we systematically searched to find relevant review studies through Medline, Cochrane Library, PsycINFO, and gray literatures. (2) Expert panel opinions: effective programs identified from the previous step were combined with expert views via the Hanlon method. Results: A total of 27 since some of them were reports met the inclusion criteria. After full-text screening 9 records included. We found the following 12 SPP for prioritizing and rating the most effective interventions by an expert panel: (1) case management of Suicide Attempters (SAs), (2) identification and treatment of depression, (3) registry for suicide, (4) identifying local determinants of Suicidal behavior (SB), (5) public awareness campaigns, (6) gatekeepers’ training, (7) conducting research, (8) school-based training, (9) improving knowledge and attitudes, (10) restricting access to means, (11) at-risk people screening, (12) mass media. Conclusions: Seven effective SPP identified after combined 12 included interventions with expert panel opinion: (1) Case management of SAs, (2) Identification and treatment of depression, (3) Improving a registry for suicide, (4) Identifying local determinants of SB, (5) Public awareness campaigns, (6) Training gatekeepers, and (7) Conducting research.
Mentoring of Scientists and Engineers: A Comparison of Gender

Abstract: This study investigates the influence of gender makeup of the mentor-protégé dyad (or pair) on mentoring roles associated with both career development and non-career support. The survey population consisted of 202 high technology protégés working in 22 organizations located in four countries. Results indicate that the overall mentoring program effectiveness is enhanced when the mentor and the protégé are of the same gender.
Effect of Heavy Fuel Combustion in a Gas Power Plant on Turbine Performance: A Review

The current review focuses on the utilization of heavy fuel in operating gas turbine and their effect on the power plant performance. The literature survey includes a comparison of the different studies to reveal the effect of the fuel property on the combustion efficiency and fuel consumption. the most important of which is the generation of electric power by heavy fuels in power stations that use turbines. Gas turbine is becoming increasingly widespread in electric power generation and other branches of industry. It is known that the thermal efficiency of an open gas turbine cycle varies according to the type of fuel used in the plant. Gas turbines are particularly suitable for fuels with materials that have physical and chemical properties that help in continuous combustion and therefore the ease inherent in Fuel injection and mixture preparation.
Evolutionary Game Analysis of Co-Opetition Strategy in Energy Big Data Ecosystem under Government Intervention

This study discusses how to facilitate the barrier-free circulation of energy big data among multiple entities and how to balance the energy big data ecosystem under government supervision using dynamic game theory. First, we define the related concepts and summarize the recent studies and developments of energy big data. Second, evolutionary game theory is applied to examine the interaction mechanism of complex behaviors between power grid enterprises and third-party enterprises in the energy big data ecosystem, with and without the supervision of government. Finally, a sensitivity analysis is conducted on the main factors affecting co-opetition, such as the initial participation willingness, distribution of benefits, free-riding behavior, government funding, and punitive liquidated damages. The results show that both government supervision measures and the participants’ own will have an impact on the stable evolution of the energy big data ecosystem in the dynamic evolution process, and the effect of parameter changes on the evolution is more significant under the state of no government supervision. In addition, the effectiveness of the developed model in this work is verified by simulated analysis. The present model can provide an important reference for overall planning and efficient operation of the energy big data ecosystem.
Screen Viewing Behaviour among Children under 2 Years in Fiji: Reasons and the Perceptions of Parents/Caregivers

BACKGROUND: Screen-viewing among children has become a growing public health concern. There is no existing research done in Fiji on children’s screen viewing behaviour, therefore, this study aimed to determine the reasons and the perceptions of parents/caregivers in affecting screen viewing behaviour among children under 2 years in Suva Fiji. MATERIALS & METHODS: This cross-sectional mixed method study was conducted at three randomly selected Maternal Child Health (MCH) clinics among parents or accompanying guardians of children under two years old. Using proportional sampling, 361 participants who met the study criteria participated in this study. Data collection was carried out using a 20-item self-administrated questionnaire for quantitative study and a semi-structured open-ended questionnaire for the qualitative study through two Focus Group Discussions (FGDs). Descriptive analysis was used for quantitative data and thematic analysis was applied for the qualitative data to emerge themes. RESULTS: Most children (32.8%) watched screens several times in a week, regardless of age. The main reason for children’s screen time is that it is a distraction tool (29.9%) followed closely by using it to calm child or to prevent negative behaviour (26%) and education (22%). The study found that most of the parents/ caregivers know that there are negative consequences of screen time on their children. Majority of these parents/ caregivers (66%) however think that the only effect is that related to children’s eye health and are unaware of the other health consequences. About 24% think that there is no negative effect at all on children engaged in screen viewing. The study also found that more than half (56%) of the parents (or caregiver guardians) think that screen viewing below the age of 2 years actually has positive consequences on children. Of these the vast majority (76.7%) think that screen viewing makes their children smart/ helps them to learn from a very young age. CONCLUSION: The findings of this study highlighted the main reasons of screen viewing among children under 2 years.
Estilo docente, clave para una menor percepción de violencia en educación física

Este estudio tuvo como objetivo comprobar si la menor percepción de violencia escolar en adolescentes se asociaba con perfiles motivacionales más autodeterminados y con el estilo interpersonal del docente de Educación Física. Participaron 452 estudiantes de entre 13 y 16 años (M = 14.7; DT = 1.05). Tras la recogida de datos, se realizó un análisis multivariante (MANOVA) y un análisis de perfiles, confirmándose la existencia de tres perfiles motivacionales: “alta motivación autodeterminada”; “moderada” y “baja motivación autodeterminada”. Como principales resultados se observa que el grupo con alta motivación autodeterminada presentó valores inferiores en la percepción de violencia escolar y superiores en el estilo docente de apoyo a la autonomía y la satisfacción de las necesidades psicológicas básicas. Se concluye que una menor percepción de la violencia escolar en los estudiantes puede venir dada por la utilización de un estilo interpersonal del docente de Educación Física de apoyo a la autonomía.
Ras Pathway Activation and MEKi Resistance Scores Predict the Efficiency of MEKi and SRCi Combination to Induce Apoptosis in Colorectal Cancer

Simple Summary Inhibition of MEK has been proposed as a means to address mutant RAS colorectal cancer (CRC). However, MEK inhibitor adaptive resistance has led to reduced clinical utility of this new drug. Our studies have suggested the potential for the addition of an SRC inhibitor to prevent the development of resistance to MEK inhibitors. Moreover, we have identified that gene expression signature scores for RAS pathway activation, and MEK inhibitor resistance may be useful biomarkers in determining CRC drug sensitivity to the novel combination of Trametinib and Dasatinib. Abstract Colorectal cancer (CRC) is the second leading cause of cancer death in the United States. The RAS pathway is activated in more than 55% of CRC and has been targeted for therapeutic intervention with MEK inhibitors. Unfortunately, many patients have de novo resistance, or can develop resistance to this new class of drugs. We have hypothesized that much of this resistance may pass through SRC as a common signal transduction node, and that inhibition of SRC may suppress MEK inhibition resistance mechanisms. CRC tumors of the Consensus Molecular Subtype (CMS) 4, enriched in stem cells, are difficult to successfully treat and have been suggested to evade traditional chemotherapy agents through resistance mechanisms. Here, we evaluate targeting two pathways simultaneously to produce an effective treatment by overcoming resistance. We show that combining Trametinib (MEKi) with Dasatinib (SRCi) provides enhanced cell death in 8 of the 16 tested CRC cell lines compared to treatment with either agent alone. To be able to select sensitive cells, we simultaneously evaluated a validated 18-gene RAS pathway activation signature score along with a 13-gene MEKi resistance signature score, which we hypothesize predict tumor sensitivity to this dual targeted therapy. We found the cell lines that were sensitive to the dual treatment were predominantly CMS4 and had both a high 18-gene and a high 13-gene score, suggesting these cell lines had potential for de novo MEKi sensitivity but were subject to the rapid development of MEKi resistance. The 13-gene score is highly correlated to a score for SRC activation, suggesting resistance is dependent on SRC. Our data show that gene expression signature scores for RAS pathway activation and for MEKi resistance may be useful in determining which CRC tumors will respond to the novel drug combination of MEKi and SRCi.
An algorithm for estimation of wideband LFM signal parameters based on subsampling

Based on the remainder theorem and direct dechirp operation,an algorithm for estimation of chirp rate and initial frequency of the subsampling wideband LFM signal unambiguously is presented.Since the subsampling wideband LFM signal and its two difference delay visions conjugation product are all single tones,the chirp rate is estimated unambiguously by FFT and spectrum peak search detection(PSD)and remainder theorem.Then using the estimated chirp rate,the dechirp operations are finished by the digital synthesis no carrier chirp signal for another two difference delay subsampling wideband LFM signals,and the initial frequency of the subsampling wideband LFM signal can be estimated unambiguously by the similar methods.Moreover,with spectral zooming,the estimated parameter precision can be improved.Simulation proves the validity of the algorithm.
Pathogenesis of Pregnancy-Related Complications 1.0 and 2.0

These Special Issue IJMS were dedicated to the major complications responsible for maternal and perinatal morbidity and mortality, such as gestational hypertension (GH), preeclampsia (PE), fetal growth restriction (FGR), gestational diabetes mellitus (GDM), preterm birth, and chronic venous disease [. ].
Personalized Intelligent Recommendation Algorithm Design for Book Services Based on Deep Learning

Machine learning is one of the important branches of artificial intelligence, which provides new technical means for analyzing users, understanding users, and gaining insight into users. The framework of the personalized intelligent service model for libraries based on user portraits is proposed, and intelligent technologies such as machine learning are applied to analyze and mine users’ big data, build user portraits, associate users and resources with user portraits, and provide personalized intelligent services for users. The study gives a case study of book recommendation by firstly extracting users’ personalized interests, then applying the plain Bayesian algorithm to discover users’ current personalized potential demands for books, and finally providing users with personalized intelligent book recommendation services that match their interests and mainly meet their potential demands.
The effects of product transformation salience (PTS) on festival visitors’ recycling intentions: Do gender and age matter?

Abstract Festivals attract diverse visitors to tourism sites and contribute significant solid wastes every year. One way to help customers engage in recycling at tourist attractions is to adopt an effective communication tactic using product transformation salience (PTS). To better understand the influence of PTS, the current study investigated the roles of visitors’ characteristics, such as gender and age, by using PTS messages to promote recycling behavior by presenting moderation models. This study further examined the underlying psychological mechanisms to explain the effect of PTS on recycling intention by proposing a serial mediation model. The results indicated that the effects of PTS on visitors’ feedback toward green messages varied when considering visitors’ age and gender. In particular, women and older attendees perceive the higher green value of recycling and develop higher intentions toward engaging in recycling practices at events. The serial mediation effects of PTS → perceived green value → attitudes → intentions were also confirmed. The findings of this study contribute to the green advertising literature and provide practical suggestions to industry practitioners.