Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatización de los procesos de gestión de proyectos de investigación: caso ITSC

This work aims to develop an information system to manage and automate the monitoring of research projects at the Instituto Tecnológico Superior de Comalcalco (ITSC). A mixed type methodology was applied, characterized by its interdisciplinary approach. The data was obtained by conducting a virtual interview with each of those involved in the ITSC research process. The total sample was 30 researchers. The contribution of this project is the automation of the registration process and monitoring of the research projects of the ITSC research professors. For the development of the software, the basic needs of project management were met (generation of reports by periods, registration and export in CSV or PDF format and even sending to print, as well as the protocol of the research projects in execution and the development of the resume, thanks to which the performance of the researchers can be measured). It is an important tool that contributes to reducing the time spent searching for documentation, the consumption of papers, facilitating the monitoring, search and storage of projects, as well as knowing in real time the status of the research projects that are being developed by the teachers.
Design optimization of coreless stator axial flux-switching motor

This study aimed to provide the analytical design, optimization, and three-dimensional (3D) simulation through finite element method of a coreless stator axial field flux-switching motor (AFFSM). The motor consists of two indented rotors with a coreless stator between them consisting of a magnet and winding. First of the motor electrical and magnetic design was performed and its basic parameters were calculated. Then, the optimization of the machine was evaluated implementing the Taguchi algorithm in order to minimize the motor cogging torque. Some of the basic motor dimensions, such as the magnet length and width, the rotor tooth width and height, and the back iron thickness, were selected as optimization variables, and the best combination of these variables was obtained by changing them in a certain range to achieve the desired objective. Then, the accuracy of analytical design and optimization was evaluated through forming a 3D finite element method (FEM) of the motor and investigating its performance. Comparison of the optimized and primary motor revealed that the optimal design had a better performance than the initial. Finally, a prototype of the proposed motor was fabricated and tested, which indicated that the experimental results were largely similar to the analytical results.
Can venous cord blood neutrophil to lymphocyte ratio and platelet to lymphocyte ratio predict early-onset sepsis in preterm infants?

Background: To explore the predictive value of venous cord blood neutrophil-to-lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) for Early-onset sepsis (EOS) in preterm infants. Methods: A prospective cohort of neonates with gestational ages <32 weeks in a single hospital from January 2017 to January 2020 were enrolled. Multivariable logistic regression was used to determine independent risk factors for EOS. ROC curves were created to estimate the predictive capacity. Results: A total of 427 neonates were included in the study. 176 neonates were exposed to chorioamnionitis including 89 EOS and 87 without EOS, and the venous cord blood white blood cell (WBC), (neutrophil) N, (platelet) P, NLR and PLR in the EOS infants were significantly increased. 251 infants were unexposed to chorioamnionitis including 63 EOS and 188 without EOS, and N and NLR were significantly increased in EOS infants. After adjustment for covariates, multivariable logistic regression analysis demonstrated high NLR was independently associated with the subsequent risk of EOS in the infants both exposed and unexposed to chorioamnionitis. The most accurate discriminatory NLR for EOS threshold in infants exposed to chorioamnionitis was 2.68 (AUC = 0.949, sensitivity = 0.839, specificity = 0.933). The most accurate discriminatory NLR for EOS threshold in infants unexposed to chorioamnionitis was 2.01 (AUC = 0.852, sensitivity = 0.830, specificity = 0.762). The cutoff value of the PLR for predicting EOS in the preterm infants exposed to chorioamnionitis was 55.051, the sensitivity was 82%, the specificity was 36.7%, and the AUC was 0.579. Conclusions: Venous cord blood NLR seems to be an early, sensitive and convenient marker for preterm infants with EOS, especially in those exposed to chorioamnionitis. Meanwhile, venous cord blood PLR is not an accurate predictor of EOS in preterm infants.
Physically Based Rendering Techniques to Visualize Thin-Film Physically Based Rendering Techniques to Visualize Thin-Film Smoothed Particle Hydrodynamics Fluid Simulations Smoothed Particle Hydrodynamics Fluid Simulations

This thesis introduces a methodology and workﬂow I developed to visualize smoothed hydrodynamic particle based simulations for the research paper ’Thin-Film Smoothed Particle Hydrodynamics Fluid’ (2021), that I co-authored. I introduce a physically based rendering model which allows point cloud simulation data representing thin ﬁlm ﬂuids and bubbles to be rendered in a photorealistic manner. This includes simulating the optic phenomenon of thin-ﬁlm interference and rendering the resulting iridescent patterns. The key to the model lies in the implementation of a physically based surface shader that accounts for the interference of inﬁnitely many internally reﬂected rays in its bidirectional surface scattering function. By simulating the effect of interference on rays reﬂected oﬀ the surface of a thin-ﬁlm as a component of a surface shader, I am able to obtain photorealistic ren-derings of bubbles and thin-ﬁlms. This enables us to visualize complex vortical swirls and turbulent surface ﬂows on oscillating and deforming surfaces in a physically accurate and visually evocative manner.
Assessing Health Anxiety among Healthcare Providers of COVID-19 Patients from March to May 2020, Rafsanjan County, Iran

BackgroundHealth concerns are among the major concerns of the staff dealing with infectious diseases, such as COVID-19. This study aimed to examine health anxiety (HA) in the healthcare workers (HCWs) of COVID-19 patients from March to May 2020.Material and MethodsThe statistical population of this descriptive study consisted of all 101 HCWs of COVID-19 patients at Ali ibn-Abi Talib Hospital in the Rafsanjan County, who were invited to help with this survey using the census sampling method. They completed the Short Health Anxiety Inventory (SHAI). The data were analyzed using ANOVA and the independent t-test.ResultsA total of 39 (38.6%) of the participants witnessed the death of COVID-19 patients. Out of the 101 staff, 72.3% suffered from mild anxiety, 24.8% from moderate anxiety, and 3% from health anxiety. The mean score of health anxiety was significantly higher in male participants (p= 0.040) and also in those who witnessed the death of COVID-19 patients (p= 0.036). There was a significant negative correlation between health anxiety and work experience (p=0.032) so that health anxiety was higher in employees with less experience (p= 0.033). ConclusionThe level of anxiety and health anxiety in staff dealing with COVID-19 patients is high. Due to negative effects of anxiety on effectiveness of employee performance, it is necessary to make necessary interventions to improve their mental state.
Super resolution with Generative Adversarial Networks

Single image super-resolution is an approach for improving imaging system. Recently, models based on convolutional neural networks, speciﬁcally designed for this task, became a topic of research and shown great results. Models based on convolutional neural networks outperform other approaches in terms of image quality metrics such as peak signal to noise ratio (PSNR) and structural similarity (SSIM). The perceptual image quality of resulting super-resolved image is principally dependant on choice of a loss function, which is optimized during model training. Recent work is largely based on optimizing mean squared reconstruction error. Such loss does improve wieldy used image quality metrics. But this reconstruction metrics like PSNR and SSIM may not capture ﬁne details in the image and give high scores to images with unsatisfying quality. Most recently model based on generative adversarial networks (GAN) was proposed for the task. In GANs settings adversarial loss, pushes the reconstructed image to natural image manifold using a discriminator model. The adversarial loss is combined with reconstruction loss to limit model ”fan-tasy”. The discriminator model main task is to differentiate between low-resolution images, which were super-resolved and high-resolution images. Extensive quality testing including metrics with a use of human opinion had shown that this approach generates more pleasant images. The goal of this project is to implement super-resolution model based on GAN and test quality of image reconstruction.
Labiaplasty of bilateral labia minora hypertrophy with recurrent abscesses

Background: Labia minora hypertrophy is often overlooked in paraplegic women, here we present a rare case of bilateral labia minora hypertrophy with recurrent abscesses. A 31-year paraplegic woman presented with labia minora hypertrophy. The main patient complaints were the recurrent inflammation and swelling of the labia minora. Physical examination showed stage III labia minora hypertrophy with multiple cysts. Upon patient's agreement, edge resection of labia minora reduction was performed, and redundant labial tissue and cysts were resected completely. The patient was discharged for home care in good condition on postoperative day 7. Six-month postoperation telephone follow-up showed good recovery with no significant complications. In this case, long-term sitting together with diaper use might increase susceptibility to labia minora hypertrophy and labial abscesses, as a result of continuous mechanical irritation. Conclusions: We present this case to promote early awareness of such condition in paraplegic women and support early surgical treatment for patients suffering from labial abscesses.
Maternal Death in Delta State, Nigeria; Techniques of Survival Research

Original Research Article This research has proposed the use of survival analysis techniques in achieving appropriate estimates of maternal mortality and its usefulness. The results of its request for data from Delta State, Nigeria, showed that although about 90% of pregnant women survived childbirth, only 86% survived until the end of the postpartum period. There were significant differences by location, and Maternal Age: The Weibull distribution well reflected maternal survival.
Meteorological Factors Governing Particulate Matter Distribution in an Urban Environment

In this study, the impact of meteorological factors on PM10 concentrations in the Belgrade urban area was investigated by using eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) attribution methods. As shown, XGBoost provided reliable PM10 predictions with relative errors in the range from approx. 19% to 26% and correlation coefficients higher than 0.95. The change in emission source intensity, momentum flux intensity, lifted index, humidity, and temperature, as well as concentrations of benzene, NO, NOx and SO2 were the most important variables that described the PM concentration dynamics in Belgrade urban area.
Review Paper on optimization of CF algorithms, for Book Recommendation

: Nowadays, the internet has become a very crucial part of our life. People are depending more and more on internet for the things they can buy online ass it saves their time and energy. In our current generation time is the only big thing which is lacking and it is the most precious proved thing in today’s scenario. As the countries are being developed people are becoming more and more digital and getting uplifted by today’s technology the traditional framework is being proven inconvenient as the people want to save their time and also expect technology to recommend and introduce the best things to them, the Recommender system is progressively made massive strides for public benefit. The Retrospection system is a substitute of customary recommendation system and thus has made an upheaval in the industries. It has capability to collect data, process and compute information which provide better choices to clients. Analysis of the experimental results of the piled data sets suggests that the many algorithms are stationed on the principle of retrospection system which grant satisfactory services to the readers. This paper trace about recommender system with advancements of multiple machine-learning based algorithms.
Different rootstocks, irrigation, and nutritional management on the quality parameters of Montenegrina mandarins (Citrus deliciosa Tenore) cultivated in Vale do Caí region, South Brazil

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Different rootstocks, irrigation, and nutritional management on the quality parameters of Montenegrina mandarins (Citrus deliciosa Tenore) cultivated in ‘Vale do Caí’ region, South Brazil
Experience with Intravitreal Ranibizumab as an Adjunct to Ablation Therapy in Eyes with Exudative Coats’ Disease

Background: Coats’ disease is a rare entity with retinal vascular telangiectasia that can progress to exudative retinal detachment, neovascular glaucoma, and a blind painful eye requiring enucleation. Despite recent therapeutic advances decreasing the need for enucleation, no consensus exists about the optimum management of exudative Coats’ disease. The use of intravitreal anti-vascular endothelial growth factor agents as an adjunct to ablation therapy has been shown to achieve favorable outcomes, but some reports suggest an increased incidence of vitreoretinal (VR) fibrosis and tractional retinal detachment (TRD). Methods: We retrospectively reviewed records of patients presenting with exudative Coats’ disease (stages 2 and 3) from April 2016 till November 2020. Extracted data included clinical and radiological assessment, stage (Shields’ classification), interventions, and follow-up. Results: Sixteen eyes were included in the final analysis, of which 4 (25%) were stage 2 and 12 (75%) were stage 3. All eyes underwent intravitreal ranibizumab injection combined with ablation therapy, 14 (87.5%) underwent cryotherapy, 4 (25%) underwent laser ablation, 3 (18.75%) underwent external subretinal fluid drainage, and 3 (18.75%) underwent buckle or vitrectomy surgery. After a median follow-up of 16 months, 11 eyes (68.75%) had complete resolution, 4 (25%) had incomplete resolution, and only one (6.25%) progressed but did not require enucleation. Three eyes (18.75%) developed VR fibrosis, but none progressed to TRD. Conclusion: Combining intravitreal ranibizumab injection with ablation therapy is effective in managing exudative Coats’ disease. External drainage should be preserved for when ablation therapy is not feasible. Future prospective trials with pre-defined outcomes are required.
High Rigid [Mg(II)(N-PAA)] Complex Binds Excellently with BSA Macromolecule and SARS-CoV-2 Virus Main Protease

Amine and hydroxide bases are also known for their bioactivities, which include antibacterial activity, anticarcinogenic, antimicrobial, and anti-malarial properties, as well as cytotoxic, anti-inflammatory, antibiotic, and antiparasitic properties. Heteroaromatic branches have become extremely relevant in chemistry in recent decades. Because of its presence of both hard nitrogen and oxygen donor atoms in the backbones of these ligands, transition metal ions of heterocyclic bases are really interesting. Some of these complexes have phenomenal physicochemical characteristics and genuinely valuable bioactive components [1,2].
NSS_A_278988 31..38

1Department of Nursing, College of Applied Medical Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia; 2Department of Pharmacy, College of Medicine and Health Sciences, Mizan-Tepi University (Mizan Campus), Mizan-Aman, Ethiopia; 3Pharmacology Division, Department of BioMolecular Sciences, University of Mississippi, Oxford, MS, USA; 4Somnogen Canada Inc, Toronto, ON, Canada; 5The University Sleep Disorders Center, College of Medicine, King Saud University, Riyadh 11324, Saudi Arabia; 6National Plan for Science and Technology, College of Medicine, King Saud University, Riyadh, Saudi Arabia Background: High perceived stress and anxiety disorders are usually comorbid with each other, with stress often sequentially preceding the development of anxiety. While prior findings showed a causal role of sleep problems in anxiety, no study has assessed the role of insomnia as a mediator in the relationship between stress and anxiety. Methods: A cross-sectional study on university students (n = 475, age = 21.1+2.6 years) was conducted over 3 months. Participants completed self-report measures of Leeds Sleep Evaluation Questionnaire-Mizan (LSEQ-M), Perceived Stress Scale-10 (PSS-10), generalized anxiety disorder-7 scale (GAD-7), and a sociodemographic tool. The mediation effect model given by Baron and Kelly was used to determine the relationship. Results: The prevalence of insomnia and anxiety disorder was 43.6% and 21.9%, respectively. Stress was significantly associated with LSEQ-M (insomnia measure) (b = −.44, SE = 0.16, p<0.01), and high levels of anxiety (b = 0.25, SE = 0.03, p < 0.01). The indirect effect of stress on anxiety through LSEQ-M (insomnia measure) was significant (95% confidence interval [0.01, 0.04]). However, the indirect effect of anxiety on stress through LSEQ-M (insomnia measure) was non-significant (95% confidence interval [−.01, 0.04]). Conclusions: Students having higher perceived stress levels and comorbid insomnia were also likely to have a higher anxiety level.
Medium Term Results in Meniscal Repair: Can Lifestyle Influence the Clinical Outcome?

Purpose: To improve the current knowledge of factors influencing the success and the clinical outcome of meniscal repair, focusing on patients’ lifestyle and on the surgical techniques applied. Methods: Sixty-six meniscal sutures were carried out in the period between January 2012 and July 2017 at the Santa Maria Hospital of Borgo Val di Taro, 14 of which were isolated and 52 associated with the reconstruction of the anterior cruciate ligament. Competitive and non-competitive sportsmen as well as smoker and non-smoker groups were formed retrospectively. For each patient, VAS and functional scores (Tegner Lysholm and Modified Cincinnati) were collected before the surgery and during the follow-up. Results: Isolated meniscal sutures registered a 21% failure rate while for those associated with Anterior Cruciate Ligament (ACL) reconstruction; the failure rate was only of 4%. Smoking and the absence of competitive sport activity before surgery were associated with lower clinical results. Different surgical techniques did not show any statistically significant difference. Conclusion: Data collected in our study shows that lifestyle-related factors may have a significant effect on the clinical outcome of the operated knee. Smoking is associated with lower clinical results. Sport activity level has an impact on the outcome of meniscal repair surgeries. Similar clinical improvement trend, assessed through scores, was demonstrated both in the competitive and noncompetitive groups, but higher average values were observed in the first group, preoperatively as well as postoperatively.
Successful Treatment of Necrotizing Fasciitis of the Shoulder with the Application of a Negative-Pressure Wound Therapy: A Case Study

Necrotizing Fasciitis (NF) is a rapidly progressive soft tissue infection that involves the deep fascia and is characterized by extensive deterioration of the surrounding tissue. Vacuum Sealing Drainage (VSD) is a negative pressure wound therapy that has been commonly utilized in many clinical settings. It has been shown to be successful in the treatment of patients with severe complex wounds, including NF. In this case report, a 79 year-old-man presented with 2 days of fevers accompanied by progressive swelling and pain of the neck and shoulder. He underwent emergent surgical intervention under general anesthesia, including radical exploration and debridement of the wound. After extensive debridement, a VSD system was applied to the large open wound to further clean the wound bed, contributing to successful treatment of the patient. This case demonstrated that the VSD device is well tolerated and efficacious in the wound healing process of patients with NF.
Information Transmission Capacity and Robustness of Natural Resource Governance Networks in Brazil and Indonesia: A Comparative Analysis

How do different approaches to collaborative natural resource governance impact the associated actor networks’ potential for rapid information transmission, and their robustness when subject to sociopolitical change? This is studied in the context of two cases that represent different archetypal regional approaches to coral reef governance. The case in Brazil adopts a centrally coordinated, large-scale protected area governance approach, whereas a self-organized polycentric governance approach is evident in the Indonesian case. Extensive empirical data are analyzed based on social network analysis and an innovative approach for simulating the effects of sociopolitical change on networks. The results show that both governance approaches shaped networks with surprisingly similar information transmission capacity. The network formed by the self-organized polycentric governance approach is found to be more robust than the centrally coordinated network. Mechanisms that contribute to shape the network pattern in the study areas are discussed.
Spatially Supervised Text Mining for Social Media Cleaning and Preprocessing

In this paper, we show a framework for partial bot rejection based on spatially supervised text mining from social media messages. We show qualitative results towards the reduction of known bots and give hints on how this cleaning technique can help us in filling gaps of current signals related to human life on Earth based on social media. The bot rejection framework is based on using a spatial signal for supervising a machine learning model with extreme label noise still being able to reject some of the unwanted components of the social media stream. Furthermore, we comment that such models show significant biases and can, therefore, not be used responsibly without bias analysis and mitigation per application.