Miracle-dz/UniFAR-FTUs huggingface dataset:
Funcionamiento familiar, sobrecarga y calidad de vida del cuidador del adulto mayor con dependencia funcional

Introducción: Ser cuidador de personas con dependencia funcional conlleva el riesgo de presentar deterioro de la calidad de vida, esto puede deberse a que la prolongación del cuidado altera la dinámica familiar y genera sobrecarga en el cuidador. Objetivo: 1) Identificar la relación entre funcionamiento familiar y calidad de vida del cuidador del adulto mayor y 2) Determinar la sobrecarga y calidad de vida del cuidador del adulto mayor. Metodología: Estudio descriptivo y correlacional, muestreo por bola de nieve, la muestra conformada por 86 cuidadores de un centro comunitario. Para las mediciones se utilizó el índice de Barthel, el Test de APGAR Familiar, la prueba de Zarit y la Escala de Calidad de Vida WHOQOL-BREF. Se aplicó la Prueba de Kolmogorov Smirnov y Prueba de Correlación de Spearman. Resultados: El 11.6% de los adultos mayores presentó dependencia total, la percepción de disfuncionalidad familiar grave representó el 3.5%. Los cuidadores con sobrecarga intensa fueron el 32.6%, el 8.1% percibió la calidad de vida deficiente. A mayor funcionamiento familiar mayor calidad de vida del cuidador (p<.05) y a mayor sobrecarga, menor calidad de vida del cuidador (p<.05) en todas las dimensiones. Conclusiones: Se observó que la sobrecarga y funcionalidad familiar están relacionadas con la calidad de vida del cuidador, por lo que se convierten en un escenario disciplinar que plantea la posibilidad de diseñar estrategias de intervención, centradas en la sobrecarga y el funcionamiento de la familia para el mejoramiento de la calidad de vida del cuidador.
A model-free soft classification with a functional predictor

Class probability is a fundamental target in classiﬁcation that contains complete classiﬁcation information. In this article, we propose a class probability estimation method when the predictor is functional. Motivated by Wang et al. ( Biometrika , 95 , 149–167, 2007), our estimator is obtained by training a sequence of functional weighted support vector machines (FWSVM) with di ﬀ erent weights, which can be justiﬁed by the Fisher consistency of the hinge loss. The proposed method can be extended to multiclass classiﬁcation via pairwise coupling proposed by Wu et al. ( Journal of Machine Learning Research , 5 , 975–1005, 2004). The use of FWSVM makes our method model-free as well as computationally e ﬃ cient due to the piecewise linearity of the FWSVM solutions as functions of the weight. Numerical investigation to both synthetic and real data show the advantageous performance of the proposed method.
Identifying the main factors involved in business intelligence implementation in SMEs

In recent years, the use of information and communication technology (ICT) tools has been recognized as a critical element for the development of enterprises; being mainly exploited by large companies. However, small and medium enterprises (SMEs) have yet opportunities to take advantage of them; this is the case of the implementation and usage of business intelligence (BI), which is a term that encompasses applications, tools, and methodologies that support decision-making process at a managerial level. Nevertheless, so far there is not a clear approach for its adoption in SMEs, for this reason, this work aims to identify the main factors involved in Business Intelligence implementation in SMEs through a literature review. Information for the analysis was gathered from scientific databases. The results showed main factors that influence the adoption of BI technologies in SMEs as well as recommendations given by several authors to ensure success in the process.
Neurolymphomatosis presenting as brachial plexopathy with involvement of cranial nerves

including cranial nerves, peripheral nerves, roots, and plexus by non-Hodgkin’s lymphoma and nontumorous lymphocytes. NL can occur as a primary presentation of isolated nerve involvement by lymphoma cells, which is called primary NL, but it is more often seen when lymphoma disseminates neural structures from a site of relapse or the progression of a previously diagnosed lymphoma, which is termed secondary NL. Most neoplasms of the nervous system are a systemic disease or a primary central nervous system lymphoma (PCNSL), with NL being a rare manifestation of lymphoma. Here we report a case of a 59-year-old female diagnosed as diffuse large-B-cell lymphoma (DLBCL) presenting sequentially as diplopia, facial palsy, and brachial and lumbosacral plexopathy. Received: June 23, 2017 Revised: September 5, 2017 Accepted: September 25, 2017 ANNALS OF CLINICAL NEUROPHYSIOLOGY CASE REPORT Ann Clin Neurophysiol 2018;20(1):44-48 https://doi.org/10.14253/acn.2018. 20.1. 44
Uncontrolled Hypertension in a Group of Hypertensive Patients in Erbil

Background: Hypertension is a powerful risk factor for fatal and non-fatal cardiovascular disease events, and many randomized trials showed that hypertension control is associated with a decrease in incidence of stroke and coronary heart disease. Objective: This study was carried out to identify the prevalence of, and factors associated with, uncontrolled hypertension in a group of hypertensive patients in Erbil. Patients and methods: A cross sectional study was carried out. A convenience sample of 400 hypertensive patients attended outpatient clinics at Rizgary teaching hospital in Erbil city was included. This study was extended of 1st April 2011 through 31st March 2012. The data were obtained by a direct interview with the patients using a questionnaire a specially designed questionnaire. The statistical package for social sciences (SPSS, version 18.0) was used for data entry and analysis. Results: The prevalence of uncontrolled hypertension was (58.8%). The prevalence of uncontrolled hypertension among males hypertensive patients were 61.8%. and among females were 57.5%. The Logistic regressions analysis of uncontrolled hypertension showed a statistically significant association between uncontrolled hypertension with current smoker (OR=8.77), regularity of treatment (OR=0.296), exercise (OR= 0.414) and type of antihypertensive drugs: diuretics (OR=11.938), ACEI (OR=7.907) beta blockers (OR=7.096), and CCB (OR=7.169). Conclusions: More than half of the hypertensive patients were uncontrolled. The factors associated with uncontrolled hypertension were smoking, lack of exercise, irregularity of treatment (non adherence to treatment). Recommendations: There is a need to stimulate researches and further studies, such as complete community-based case ascertainment.
Loneliness, Social Isolation and Their Difference: A Cross-Diagnostic Study in Persistent Depressive Disorder and Borderline Personality Disorder

Background: Interpersonal difficulties are a key feature of persistent depressive disorder (PDD) and borderline personality disorder (BPD). Caught in a vicious circle of dysfunctional interpersonal transaction, PDD and BPD patients are at great risk of experiencing prolonged loneliness. Loneliness, in turn, has been associated with the development of mental disorders and chronic illness trajectories. Besides, several factors may contribute to the experience of loneliness across the lifespan, such as social network characteristics, a history of childhood maltreatment (CM), and cognitive-affective biases such as rejection sensitivity (RS). This cross-diagnostic study approached the topic of perceived loneliness by comparing PDD and BPD patients with healthy controls (HC) in its interplay with symptom burden, social network characteristics, RS as well as CM. Method: Thirty-four PDD patients (DSM-5; 15 female, Mage = 38.2, SD = 12.3), 36 BPD patients (DSM-5; 19 female, Mage = 28.8, SD = 9.2), and 70 age- and gender-matched HC were assessed cross-sectionally using the following self-report measures: UCLA Loneliness Scale, Social Network Index (SNI; size, diversity, and embeddedness), Beck Depression Inventory (BDI-II), Borderline Symptom List (BSL-23), Childhood Trauma Questionnaire (CTQ), and Rejection Sensitivity Questionnaire (RSQ). Results: Both patient groups reported significantly higher levels of perceived loneliness, symptom severity, and smaller social network characteristics compared to HC. Loneliness was significantly correlated with severity of self-reported clinical symptoms in PDD and at trend level in BPD. Besides, loneliness tended to be related to social network characteristics for all groups except PDD patients. Both PDD and BPD patients showed higher RS as well as CTQ scores than HC. A history of emotional abuse and emotional neglect was associated with loneliness, and this association was mediated by RS as demonstrated by an exploratory mediation analysis. Discussion: Loneliness is highly prevalent in PDD and BPD patients and contributes to the overall symptom burden. Interestingly, loneliness showed an association with prior experiences of CM as well as current RS. We therefore propose a comprehensive model on how intra- und interpersonal aspects may interplay in the dynamics of loneliness in light of CM. Finally, this model may have further implications for psychotherapeutic interventions.
Quantification of paravalvular leaks associated with TAVI implants using 4D MRI in an aortic root phantom made possible by the use of 3D printing

Introduction Transcatheter aortic valve implantation (TAVI) has become an alternative to surgical replacement of the aortic valve elderly patients. However, TAVI patients may suffer from paravalvular leaks (PVL). Detecting and grading is usually done by echocardiography, but is limited by resolution, 2D visualization and operator dependency. 4D flow magnetic resonance imaging (MRI) is a promising alternative, which did not reach clinical application in TAVI patients. The aim of this study was applying 3D printing technologies in order to evaluate flow patterns and hemodynamics of PVLs following TAVI, exploiting 4D flow MRI and standard ultrasound. Materials and methods An MR-compatible, anatomically left ventricle, aortic root, and ascending aorta model was fabricated by combining 3D-printed parts and various soft silicone materials to match physiological characteristics. An Abbott Portico™ valve was used in continuous antegrade flow (12–22 l/min), retrograde flow with varying transvalvular pressures (60–110 mmHg), and physiological pulsatile hemodynamics (aortic pressure: 120/80 mmHg, cardiac output: 5 l/min) Time-resolved MR measurements were performed above and below the TAVI stent and compared with color Doppler ultrasound measurements in exactly the same setup. Results The continuous antegrade flow measurements from MRI largely agreed with the flowmeter measurements, and a maximum error of only 7% was observed. In the retrograde configuration, visualization of the paravalvular leaks was possible from the MR measurements, but flow was overestimated by up to 33%. The 4D MRI measurement in the pulsatile setup revealed a single main PVL, which was also confirmed by the color Doppler measurements, and velocities were similar (2.0 m/s vs. 1.7 m/s). Discussion 4D MRI techniques were used to qualitatively assess flow in a patient-specific, MR-compatible and flexible model, which only became possible through the use of 3D printing techniques. Flow patterns in the ascending aorta, identification and quantification of PVLs was possible and the location and extent of PVLs were confirmed by ultrasound measurements. The 4D MRI flow technique allowed evaluation of flow patterns in the ascending aorta and the left ventricle below the TAVI stent with good results in identifying PVLs, demonstrating its capabilities over ultrasound by providing the ability to visualize the paravalvular jets in three dimensions at however, additional expenditure of time and money.
Brittle Deformation During Eclogitization of Early Paleozoic Blueschist

The Tsäkkok Lens of the Scandinavian Caledonides represents the outermost Baltican margin that was subducted in late Cambrian/Early Ordovician time during closure of the Iapetus Ocean. The lens predominantly consists of metasedimentary rocks hosting eclogite bodies that preserve brittle deformation on the μm-to-m scale. Here, we present a multidisciplinary approach that reveals fracturing related to dehydration and eclogitization of blueschists. Evidence for dehydration is provided by relic glaucophane and polyphase inclusions in garnet consisting of clinozoisite + quartz ± kyanite ± paragonite that are interpreted as lawsonite pseudomorphs. X-Ray chemical mapping of garnet shows a network of microchannels that propagate outward from polyphase inclusions. These microchannels are healed by garnet with elevated Mg relative to the surrounding garnet. Electron backscatter diffraction mapping revealed that Mg-rich microchannels are also delimited by low angle (<3°) boundaries. X-ray computed microtomography demonstrates that some garnet is transected by up to 300 μm wide microfractures that are sealed by omphacite ± quartz ± phengite. Locally, mesofractures sealed either by garnet- or omphacite-dominated veins transect through the eclogites. The interstices within the garnet veins are filled with omphacite + quartz + rutile + glaucophane ± phengite. In contrast, omphacite veins are predominantly composed of omphacite with minor apatite + quartz. Omphacite grains are elongated along [001] crystal axis and are preferably oriented orthogonal to the vein walls, indicating crystallization during fracture dilation. Conventional geothermobarometry using omphacite, phengite and garnet adjacent to fractures, provides pressure-temperature conditions of 2.47 ± 0.32 GPa and 620 ± 60°C for eclogites. The same method applied to a mesoscale garnet vein yields 2.42 ± 0.32 GPa at 635 ± 60°C. Zirconium-in-rutile thermometry applied to the same garnet vein provides a temperature of ∼620°C. Altogether, the microchannels, microfractures and mesofractures represent migration pathways for fluids that were produced during glaucophane and lawsonite breakdown. The microfractures are likely precursors of the mesoscale fractures. These dehydration reactions indicate that high pore-fluid pressure was a crucial factor for fracturing. Brittle failure of the eclogites thus represents a mechanism for fluid-escape in high-pressure conditions. These features may be directly associated with seismic events in a cold subduction regime.
Dysfunctional Autophagy and Endolysosomal System in Neurodegenerative Diseases: Relevance and Therapeutic Options

Autophagy and endolysosomal trafficking are crucial in neuronal development, function and survival. These processes ensure efficient removal of misfolded aggregation-prone proteins and damaged organelles, such as dysfunctional mitochondria, thus allowing the maintenance of proper cellular homeostasis. Beside this, emerging evidence has pointed to their involvement in the regulation of the synaptic proteome needed to guarantee an efficient neurotransmitter release and synaptic plasticity. Along this line, an intimate interplay between the molecular machinery regulating synaptic vesicle endocytosis and synaptic autophagy is emerging, suggesting that synaptic quality control mechanisms need to be tightly coupled to neurosecretion to secure release accuracy. Defects in autophagy and endolysosomal pathway have been associated with neuronal dysfunction and extensively reported in Alzheimer’s, Parkinson’s, Huntington’s and amyotrophic lateral sclerosis among other neurodegenerative diseases, with common features and emerging genetic bases. In this review, we focus on the multiple roles of autophagy and endolysosomal system in neuronal homeostasis and highlight how their defects probably contribute to synaptic default and neurodegeneration in the above-mentioned diseases, discussing the most recent options explored for therapeutic interventions.
ADHERENCE LEVEL AND BLOOD SUGAR CONTROL OF TYPE 2 DIABETES MELLITUS PATIENTS WHO GETS COUNSELING AND SHORT MESSAGES SERVICE AS REMINDER AND MOTIVATION

Objective: Examines the effects of counseling and short messages service (SMS) as a reminder and motivation toward medication adherence improvement and controlled HbA1c levels of type 2 diabetes mellitus (T2DM) patients. Methods: This study used a quasi-experimental method with prospective data retrieval. The subjects of this study were 40 patients with outpatient T2DM in internal disease polyclinic in West Nusa Tenggara Hospital, Indonesia. Patients who fulfilled the inclusion criteria were divided into two groups: The control group (n=20) receiving only the drug care service and the treatment group (n=20) receiving counseling and SMS reminder and motivation from the pharmacist. Data collecting was conducted using the pill count method, and HbA1c levels were taken from the medical record. Results: The results showed that counseling and SMS as reminder and motivation by a pharmacist can improve treatment adherence significantly (p<0.05) by 11.33 ± 8.47 and can decrease HbA1c level significantly (p<0.05) of 1.32 ± 0.72 in the intervention group. There was a positive correlation between T2DM patient treatment adherence to HbA1c levels (r=0.254, p=0.023). Conclusion: The provision of counseling and SMS as a reminder and motivation by the pharmacist can have a positive effect toward medication adherence and control of HbA1c in T2DM patients.
Revealing the contribution of astrocytes to glutamatergic neuronal transmission

Research on glutamatergic neurotransmission has focused mainly on the function of presynaptic and postsynaptic neurons, leaving astrocytes with a secondary role only to ensure successful neurotransmission. However, recent evidence indicates that astrocytes contribute actively and even regulate neuronal transmission at different levels. This review establishes a framework by comparing glutamatergic components between neurons and astrocytes to examine how astrocytes modulate or otherwise influence neuronal transmission. We have included the most recent findings about the role of astrocytes in neurotransmission, allowing us to understand the complex network of neuron-astrocyte interactions. However, despite the knowledge of synaptic modulation by astrocytes, their contribution to specific physiological and pathological conditions remains to be elucidated. A full understanding of the astrocyte’s role in neuronal processing could open fruitful new frontiers in the development of therapeutic applications.
Discovering Hate Sentiment within Twitter Data through Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis is a vital issue in fine-grained sentiment evaluation, which intends to provide an automatic prediction of the sentiment polarity, given a particular aspect in its context. This paper presents an aspect-based sentiment analysis to find hate sentiment inside twitter data. Word embeddings have had prevalent utilisation in Natural Language Processing (NLP) applications because their vector representations have the ability to capture useful linguistic relationships and semantic properties between words with the help of deep neural networks. Word embeddings have often been used in machine learning models as feature input, which allows for the contextualisation of raw text data in machine learning techniques. The model has the ability to represent the relationship between the word embedding features and the aspects as feature representation within the suggested model. To assess the efficacy of the proposed method, extensive experiments were performed on the dataset of the researcher, as well as on widely utilised datasets. It was demonstrated by the experimental results that the proposed method was able to obtain impressive results among the three datasets.
Quality measures for lower gastrointestinal endoscopy: a review of recent consensus statements and guidelines

Colonoscopy is utilised in the diagnosis and treatment of disorders of the lower gastrointestinal tract. Complete visualization of the large intestinal mucosa and also the terminal ileum should be done safely and in a well-tolerable manner. Colonoscopy plays a major role in screening for colorectal cancer and is useful in the early detection and prevention. Prevention of colorectal cancer requires prompt detection of potentially precancerous lesions and resection. In recent decades, considerable variation in performing colonoscopies and outcomes have been reported and therefore, the necessity for standardization of the procedure with quality measures was recognized. Quality/ performance measures are defined as indicators that aid in quantifying health-care processes and help to achieve high-quality healthcare. Several quality indicators have been proposed in relation to pre-procedure preparation, intra-procedure and post-procedure events. Some of these quality measures include adenoma detection rate, caecal intubation rate, withdrawal times and quality of bowel preparation. Endoscopists should not only ensure adequate quality in relation to the above parameters but should also have high compliance rates with recommended guidelines on indications, evidence-based screening and surveillance intervals. These will ensure better colonoscopy yields while maintaining high standards of patient safety and will translate into better patient outcomes. Guidelines proposed by the American Society of Gastro-intestinal endoscopy/American College of Gastroenterology and European Society of Gastrointestinal Endoscopy/United European Gastroenterology and recent evidence were analysed and the summary of the recommendations have been discussed in this review. Although these guidelines are not based on evidence from the Asian populations, it may still be useful to adopt these key quality measures for colonoscopy in Asia. This will be helpful in the evaluation of daily practice at the endoscopy unit. However, guidelines targeting the regional population should be formulated in the future.
Autonomous Driving in Roundabout Maneuvers Using Reinforcement Learning with Q-Learning

Navigating roundabouts is a complex driving scenario for both manual and autonomous vehicles. This paper proposes an approach based on the use of the Q-learning algorithm to train an autonomous vehicle agent to learn how to appropriately navigate roundabouts. The proposed learning algorithm is implemented using the CARLA simulation environment. Several simulations are performed to train the algorithm in two scenarios: navigating a roundabout with and without surrounding traffic. The results illustrate that the Q-learning-algorithm-based vehicle agent is able to learn smooth and efficient driving to perform maneuvers within roundabouts.
The mechanical inhibition of the isolated Vo from V-ATPase for proton conductance

V-ATPase is an energy converting enzyme, coupling ATP hydrolysis/synthesis in the hydrophilic V1 moiety, with proton flow through the Vo membrane moiety, via rotation of the central rotor complex relative to the surrounding stator apparatus. Upon dissociation from the V1 domain, the Vo of eukaryotic V-ATPase can adopt a physiologically relevant auto-inhibited form in which proton conductance through the Vo is prevented, however the molecular mechanism of this inhibition is not fully understood. Using cryo-electron microscopy, we determined the structure of both the holo V/A-ATPase and the isolated Vo at near-atomic resolution, respectively. These structures clarify how the isolated Vo adopts the auto-inhibited form and how the holo complex prevents the formation of this inhibited Vo form. One Sentence Summary Cryo-EM structures of rotary V-ATPase reveal the ON-OFF switching mechanism of H+ translocation in the Vo membrane domain.