Miracle-dz/UniFAR-FTUs huggingface dataset:
CAUSAS FRECUENTES DE CIRROSIS HEPÁTICA EN EL HOSPITAL AMBULATORIO, SEGURO SOCIAL, JIPIJAPA, MANABÍ, ECUADOR

Son numerosas las causas que provocan lesiones del hígado que finalmente llevan a una cirrosis. El presente trabajo se realizó con el objetivo de identificar las causas frecuentes de cirrosis hepática en el Hospital Ambulatorio del Seguro Social de Jipijapa, Manabí, Ecuador. Se realizó un estudio descriptivo, longitudinal, retrospectivo, considerando para el mismo pacientes atendidos en consultas de gastroenterología entre enero 2015 y enero 2017, seleccionándose aquellos con diagnóstico de cirrosis y con edades iguales o superiores a los 20 años en cuya historia clínica constaran estudios de factores etiológicos. La muestra quedó formada por 64 enfermos. Se revisaron las historias del Modelo AS 400 y se recolectaron los datos necesarios, analizándose posibles causas etiológicas. Para el análisis estadístico se utilizó la tabla de frecuencia en el software SPSS versión 22.0 para Windows. Entre los principales resultados pueden mencionarse que la cirrosis hepática aumentó con la edad, siendo más frecuente entre los pacientes de más de 60 años sin diferencias importantes en cuanto al sexo. Según el tiempo de diagnóstico el grupo de pacientes más numeroso estuvo entre los 0 y 5 años, decreciendo el número de enfermos a mayor tiempo de seguimiento en consulta. La complicación más frecuente detectada fue la presencia de varices esofágicas. La esteatosis hepática seguida del alcoholismo asociado a la misma, fueron las causas más frecuentes de cirrosis.Palabras clave: enfermedad crónica, funcionalidad hepática, diagnóstico etiológico. ABSTRACThere are numerous causes that cause liver injuries that eventually lead to cirrhosis. The present work was carried out with the objective of identifying the frequent causes of liver cirrhosis in the Outpatient Hospital of the Social Security of Jipijapa, Manabí, Ecuador. A descriptive, longitudinal, retrospective study was carried out, considering for the study patients attended in gastroenterology consultations between January 2015 and January 2017, selecting those diagnosed with cirrhosis and with ages equal to or greater than 20 years in whose clinical history there are studies of etiological factors. The sample consisted of 64 patients. The histories of the Model AS 400 were reviewed and the necessary data were collected, analyzing possible etiological causes. For the statistical analysis, the frequency table was used in the software SPSS version 22.0 for Windows. Among the main results can be mentioned that liver cirrhosis increased with age, being more frequent among patients over 60 years without important differences in sex. According to the time of diagnosis, the largest group of patients was between 0 and 5 years of age, with the number of patients decreasing to a longer follow-up period. The most frequent complication detected was the presence of esophageal varices. Hepatic steatosis followed by alcoholism associated with it, were the most frequent causes of cirrhosis.Key words: Chronic disease, liver function, etiological diagnosis.
CLoSe: Contextualized Location Sequence Recommender

The location-based social networks (LBSN) (e.g., Facebook, etc.) have been explored in the past decade for Point-of-Interest (POI) recommendation. Many of the existing systems focus on recommending a single location or a list which might not be contextually coherent. In this paper, we propose a model termed CLoSe (Contextualized Location Sequence Recommender) that generates contextually coherent POI sequences relevant to user preferences. The POI sequence recommenders are helpful in many day-to-day activities, for e.g., itinerary planning, etc. To the best of our knowledge, this paper is the first to formulate contextual POI sequence recommendation by exploiting Recurrent Neural Network (RNN). We incorporate check-in contexts to the hidden layer and global context to the hidden and output layers of RNN. We also demonstrate the efficiency of extended Long-short term memory (LSTM) in sequence generation. The main contributions of this paper are: (i) it exploits multi-context, personalized user preferences to formulate contextual POI sequence generation, (ii) it presents contextual extensions of RNN and LSTM that incorporate different contexts applicable to a POI and POI sequence, and (iii) it demonstrates significant performance gain of proposed model on pair-F1 and NDCG metrics when evaluated with two real-world datasets.
Transcriptional Differences in Lipid-Metabolizing Enzymes in Murine Sebocytes Derived from Sebaceous Glands of the Skin and Preputial Glands

Sebaceous glands are adnexal structures, which critically contribute to skin homeostasis and the establishment of a functional epidermal barrier. Sebocytes, the main cell population found within the sebaceous glands, are highly specialized lipid-producing cells. Sebaceous gland-resembling tissue structures are also found in male rodents in the form of preputial glands. Similar to sebaceous glands, they are composed of lipid-specialized sebocytes. Due to a lack of adequate organ culture models for skin sebaceous glands and the fact that preputial glands are much larger and easier to handle, previous studies used preputial glands as a model for skin sebaceous glands. Here, we compared both types of sebocytes, using a single-cell RNA sequencing approach, to unravel potential similarities and differences between the two sebocyte populations. In spite of common gene expression patterns due to general lipid-producing properties, we found significant differences in the expression levels of genes encoding enzymes involved in the biogenesis of specialized lipid classes. Specifically, genes critically involved in the mevalonate pathway, including squalene synthase, as well as the sphingolipid salvage pathway, such as ceramide synthase, (acid) sphingomyelinase or acid and alkaline ceramidases, were significantly less expressed by preputial gland sebocytes. Together, our data revealed tissue-specific sebocyte populations, indicating major developmental, functional as well as biosynthetic differences between both glands. The use of preputial glands as a surrogate model to study skin sebaceous glands is therefore limited, and major differences between both glands need to be carefully considered before planning an experiment.
Single top quark production at CMS

: An overview of recent results of single-top quark production at the LHC using data collected with the CMS detector is presented. The CMS experiment has measured the electroweak production of the top quark in three production modes, namely t-channel, tW-channel, and s-channel. Measurements of the rare processes involving a single-top quark with a Z boson and a single-top quark with a ฀ are also discussed. All measurements are in agreement with the standard model prediction, and no sign of physics beyond the standard model is observed. Abstract: An overview of recent results of single-top quark production at the LHC using data collected with the CMS detector is presented. The CMS experiment has measured the electroweak production of the top quark in three production modes, namely t-channel, tW-channel, and s-channel. Measurements of the rare processes involving a single-top quark with a Z boson and a single-top quark with a γ are also discussed. All measurements are in agreement with the standard model prediction, and no sign of physics beyond the standard model is observed. measurements, i.e., inclusive cross-sections of the single-top quark in the t-channel and tW-channel have been measured using p-p collision data at √ s = 13 TeV; evidence new processes, i.e., s-channel, tZq , and t γ ; and searches for BSM processes, i.e., FCNC interaction in t-channel production. Increased luminosity during Run 2 beneﬁted the rare single-top process searches. All presented results show good agreement with the SM.
Image Caption Generator Using Deep Learning

Abstract: When humans see an image, their brain can easily tell what the image is about, but a computer cannot do it easily. Computer vision researchers worked on this a lot and they considered it impossible until now! With the advancement in Deep learning techniques, availability of huge datasets and computer power, we can build models that can generate captions for an image. Image Caption Generator is a popular research area of Deep Learning that deals with image understanding and a language description for that image. Generating well-formed sentences requires both syntactic and semantic understanding of the language. Being able to describe the content of an image using accurately formed sentences is a very challenging task, but it could also have a great impact, by helping visually impaired people better understand the content of images. The biggest challenge is most definitely being able to create a description that must capture not only the objects contained in an image, but also express how these objects relate to each other. This paper uses Flickr_8K dataset and Flickr8k_text folder that contains Flickr8k.token which is the main file of our dataset that contains image name and their respective caption separated by newline(“\n”). CNN is used for extracting features from the image. We will use the pre-trained model Xception. LSTM will use the information from CNN to help generate a description of the image. In our Flickr8k_text folder, we have Flickr_8k. trainImages.txt file that contains a list of 6000 images names that we will use for training. After CNN-LSTM model is defined we give an image file as parameter through command prompt for testing image caption generator and it generates the caption of an image and its accuracy is observed by calculating bleu score for generated and reference captions. Keywords: Image Caption Generator, Convolutional Neural Network, Long Short-Term Memory, Bleu score, Flickr_8K
A pilot open trial of video telehealth-delivered exposure and response prevention for obsessive-compulsive disorder in rural Veterans

ABSTRACT Exposure and response prevention (ERP) is the gold-standard, evidence-based psychotherapy for obsessive-compulsive disorder (OCD), but few receive it. Video telehealth can increase access to ERP for OCD and may enhance the salience of exposures. This study examined the feasibility, acceptability, and preliminary effectiveness of video telehealth-delivered ERP. We conducted a pilot open trial with 11 Veterans, using mixed quantitative and qualitative methods. Treatment completers (n = 9) had significantly reduced OCD and posttraumatic stress disorder symptoms posttreatment. Patients expressed greater comfort in engaging in ERP at home than in clinics. Therapists reported that seeing patients’ home environments helped them understand their symptoms and identify relevant OCD exposures. Results suggest that video telehealth-delivered ERP is feasible and acceptable to patients and therapists and promising for reducing OCD symptoms. Future research should compare its effectiveness to usual care and evaluate patients’ preferences for treatment delivery. Abbreviations: ERP: exposure and response prevention; GAD-7: Generalized Anxiety Disorder-7 scale; OCD: obsessive-compulsive disorder; OCI-R: Obsessive-Compulsive Inventory, Revised; PCL-5: PTSD Checklist; PHQ-9: Patient Health Questionnaire; PTSD: posttraumatic stress disorder; VA: epartment of Veterans Affairs; Y-BOCS: Yale-Brown Obsessive Compulsive Scale, self report form.
In-Process Monitoring of Temperature Evolution during Fused Filament Fabrication: A Journey from Numerical to Experimental Approaches

Fused filament fabrication (FFF), an additive manufacturing technique, unlocks alternative possibilities for the production of complex geometries. In this process, the layer-by-layer deposition mechanism and several heat sources make it a thermally driven process. As heat transfer plays a particular role and determines the temperature history of the merging filaments, the in-process monitoring of the temperature profile guarantees the optimization purposes and thus the improvement of interlayer adhesion. In this review, we document the role of heat transfer in bond formation. In addition, efforts have been carried out to evaluate the correlation of FFF parameters and heat transfer and their effect on part quality. The main objective of this review paper is to provide a comprehensive study on the in-process monitoring of the filament’s temperature profile by presenting and contributing a comparison through the literature.
SeRenA: a semantic recommender for all

The growth of data available on the Web, especially through social networks and business transactions, has served as a driving force for the development of recommender systems. Although there are many techniques in the literature, these systems suffer from some problems, including the well-known cold start problem. This problem is related to the recommendations of new elements or new users when there is no initial knowledge base. In this study we propose a solution to this and other problems based on use of semantic. We present SeRenA (Semantic Recommender for All), an unsupervised recommending strategy based on extraction of initial interests through online data (eg. posted-message and friendship) and mapped onto a number of Wikipedia documents. We introduce the methods and techniques we plan to apply to discover new items over ambiguous knowledge base.
Carboxylic acids from limonene oxidation by ozone and OH radicals: Insights into mechanisms derived using a FIGAERO-CIMS

Abstract. This work presents the results from flow reactor studies on the formation of carboxylic acids from limonene oxidation under various conditions. A High Resolution Time Of Flight acetate Chemical Ionisation Mass Spectrometer (HR – TOF – CIMS) was used in combination with the Filter Inlet for Gases and AEROsols (FIGAERO) to measure the carboxylic acid profile in the gas and particle phases. The results revealed that limonene oxidation produced large amounts of carboxylic acids which are important contributors to secondary organic aerosol (SOA) formation. The highest 10 acids contributed 56–91 % to the total gas-phase signal and the dominant gas-phase species in most experiments were C8H12O4, C9H14O4, C7H10O4 and C10H16O3. The particle-phase composition was generally more complex than the gas-phase composition and the highest 10 acids contributed 47–92 % to the total signal. The dominant species in the particle phase were C8H12O5, C9H14O5, C9H12O5 and C10H16O4. The measured concentrations of dimers in the particle phase were very low, indicating that acidic dimers play a minor role in SOA formation via ozone/OH oxidation of limonene. Spearman correlation analysis of the produced carboxylic acid species and experimental parameters were helpful in interpreting the results. Based on the various experimental conditions, the acidic composition for all experiments were modelled using the Master Chemical Mechanisms (MCM). Significant concentrations of 11 acids, from a total of 16 acids, included in MCM were measured with the CIMS. However, the model predictions were, in some cases, inconsistent with the measurement results, especially in the case of the OH dependence. Reaction mechanisms are suggested to fill-in the knowledge gaps. Based on the mechanisms proposed in this work, nearly 75 % of the qualitative gas-phase signal of the low concentration (ppb converted), humid, mixed oxidant experiment can be explained.
ISOKINETIC EXERCISE : REHABILITATION IMPLICATIONS

The study explored transferability of short ROM isokinetic conditioning inside and outside the trained ROM. 55 women were randomly assigned to 4 groups: 1 & 2 trained concentrically at 30 & 90 /s respectively, 3 & 4 trained similarly but eccentrically. All groups trained within 30-60 of knee flexion, 4*10 rep, 3 * week * 6 weeks. Isokinetic work output (Wisk) was assessed pre and post training within 3 ROM's: 85-60 (R1), 60-30 0 (R2), and 30-5°(R3). Isometric peak moment (PM) and rate of force development (RFD) were evaluated at 10°, 45 and 80 Significant increases in Wisk (R1 and R2), isometric PM (all •
Manufacturing, Developments, and Constraints in Full 3-D Printing of Frequency-Selective Surface Using Low-Cost Open-Source Printer

A comprehensive study of developing a novel printing system using a low-cost open-source printer for fully 3-D printing frequency-selective surface is presented in this article. The novel printing setup employs a low-cost printer to print a plastic-based filament and a conductive silver ink paste simultaneously. As there were no printers available in the market for this application, the open-source fused filament fabrication (FFF) printer was modified to accommodate two extruders mounted on the same extruder carriage. Techcon TS250 air pressure dispenser was employed for the extrusion of silver ink. Extension pieces for the extruder carriage were also 3-D printed using a fused deposition modeling (FDM) printer to reduce the production costs. A bandstop FSS comprising of square loop elements was designed to demonstrate the full fabrication. The FSS operated at a central frequency of 2.55 GHz and provided a good angle of response with wide bandwidths. Surface profiles of the printed FSS and substrate demonstrate the reliable fabrication of the FSS design. This full 3-D printing method provides an economical, eco-friendly, swift, reliable, and viable substitute for the fabrication of FSS designs that could be highly customized in terms of fabricating 3-D FSS designs with reliable performances. The designs can be printed and deployed to reduce the drop in signal within an enclosed environment.
Comparison of Airtraq® Laryngoscope, Bonfils Endoscope and Fiberoptic Bronchoscope for Awake Tracheal Intubation: A Randomized, Controlled Trial

Over the last decades several indirect laryngoscopes have been developed to provide a significant better glottic view and improved the success rate in difficult intubations. Some case reports describe the use of indirect laryngoscopes for awake tracheal intubations under preserved spontaneous breathing. However, randomized clinical studies comparing indirect laryngoscopy to the standard of fiberoptic intubation under spontaneous breathing are rare. Therefore, we compared the intubation with the Airtraq® laryngoscope and the Bonfils endoscope, to the standard fiberoptic intubation in patients with an expected difficult intubation under local anesthesia and sedation. 150 patients with an expected difficult intubation were randomized to one of the three devices. All intubation attempts were performed under local anesthesia and sedation. We evaluated success rate, time for intubation and the satisfaction of anesthesiologists and patients. Fiberoptic intubation was significantly more successful (100%) than intubation with an Airtraq® laryngoscope (88%) or the Bonfils endoscope (88%). Time for intubation was quickest with the Airtraq® laryngoscope and significantly shorter than fiberoptic intubation (p=0.044). There was no difference in satisfaction of the anesthesiologists and none of the patients had a negative recall to one of the techniques. An expected difficult intubation can be managed using the Airtraq® laryngoscope or the Bonfils endoscope in 88% and shows the same satisfaction of anesthesiologists and patient. We conclude that these techniques represent an acceptable alternative for an awake tracheal intubation under sedation and preserved spontaneous breathing.
Design and fabrication of soft gripper using 3D printer

Soft robotics is the most emerging subject in the present world. This paper focuses on the grippers (end effectors) that are attached with robots to interact with the environment. We proposed soft robot gripper with a modular design of cad model, which can hold multiple types of objects. This soft gripper consists of four fingers which are attached commonly and a holder which is used to attach the gripper to robot. All components were 3D printed and the soft finger structure is made molding technique using platinum cure silicon rubber. The fingers analysis is done in using finite element (FE) analysis by applying different loads. The bending of finger is obtained by providing pressurized air. A curvature sensor is integrated inside each finger to measure the curvature or bending angle during grasping. The proposed gripper could grasp and lift objects with different shapes and weights.
VDAC1 Negatively Regulates Floral Transition in Arabidopsis thaliana

Voltage-dependent anion channels (VDACs) are the most important proteins in mitochondria. They localize to the outer mitochondrial membrane and contribute to the metabolite transport between the mitochondria and cytoplasm, which aids plant growth regulation. Here, we report that Arabidopsis thaliana VDAC1 is involved in the floral transition, with the loss of AtVDAC1 function, resulting in an early-flowering phenotype. AtVDAC1 is expressed ubiquitously in Arabidopsis. To identify the flowering pathway integrators that may be responsible for AtVDAC1′s function during the floral transition, an RNA-seq analysis was performed. In total, 106 differentially expressed genes (DEGs) were identified between wild-type and atvdac1-5 mutant seedlings. However, none were involved in flowering-related pathways. In contrast, AtVDAC1 physically associated with FLOWERING LOCUS T. Thus, in the floral transition, AtVDAC1 may function partly through the FLOWERING LOCUS T protein.
The Students’ Satisfaction of Online Learning Services

The online learning era found significant momentum when the coronavirus was spreading globally. Innovation, creativity and online learning tools increased significantly and rapidly. All levels of education, from early childhood to university, were racing to provide online learning. This context made the satisfaction dimension of necessity that must be realized by schools/educational institutions. Measurement of satisfaction in learning services was related to five dimensions including reliability, responsiveness, assurance, empathy and tangible. This study aimed to look at the level of satisfaction and the factors that contribute to satisfaction of online learning during the covid-19 pandemic. This study used a qualitative approach with a survey research type based on quantitative descriptive data analysis. The results showed that the average level of satisfaction reached 75%. While, the contributing factors were methods and strategies, and also the discipline and feedback attitudes of the teachers.
Study to Evaluate the Risk Factors of Overweight and Obesity among Higher Secondary School Children in Muzaffarpur, Bihar

Background: Overweight and obesity are risk factors for diet-related non-communicable diseases. These diseases are the fifth leading risks for global deaths. Virtually, all age groups are affected bythe consequences of overweight and obesity. Aims and Objectives: This study was undertakento evaluate risk factors of overweight and obesity among higher secondary school adolescents. Methodology: A cross-sectional study was conducted among 492 school adolescents of the government sector six higher secondary schools in Muzaffarpur. This study measured height, weight and plotted Body mass Index on CDC (Child Development Centre) charts. Factors affecting obesity like physical and sedentary activities (using Bharathy et al. questionnaire) and school-based risk factors were also studied. Results: Based of measurements taken risk factors for overweight and obesity in 492 higher secondary school students, the estimated provincial prevalence of overweight was found to be 9.7%, obesity 3%, and malnutrition 18% respectively. Students involved in household chores for 4 hours or more a week were associated with a decreased risk of overweight (OR 3.97, 95% CI 1.41-11.03) and those with less activity were at increased risk for obesity (OR 6.59, 95% CI 1.83-21.19). Conclusion: The problems of overweight and obesity are taking place while students are still at the risk of underweight. Several factors were correlated with overweight and obesity. Therefore, interventions targeting gender, frequency of eating food out of home, vigorous activities, and frequency of doing the vigorous physical activity are recommended.