Miracle-dz/UniFAR-FTUs huggingface dataset:
Excessive Daytime Sleepiness without Sleep Apnea in a Weight Gain Boy with Prader-Willi Syndrome: A Case Report

Prader-Willi Syndrome (PWS) is a genetic disorder with several clinical features, such as excessive daytime sleepiness (EDS). However, it is difficult to delineate which sleep disorder causes EDS in patients with PWS because they have several risks of EDS, including obstructive sleep apnea (OSA), narcolepsy, and manifestation of PWS. We present the case of an obese 11-year-old boy with PWS who experienced EDS and excessive weight gain concurrently. He was diagnosed with PWS at the age of 5 months. At the age of 10 years, he gradually gained weight and developed symptoms of EDS. His attending family doctor referred him to our clinic to assess OSA using nocturnal polysomnography; however, there were no signs of sleep apnea. Results of the multiple sleep latency test did not fulfil the diagnostic criteria for narcolepsy. We concluded that the EDS in this patient was due to a direct symptom of PWS.
Systematics and phylogeny of the Satyrium erectum group (Orchidaceae), with descriptions of two new species from the Karoo region of South Africa

Abstract Two spectacular new orchid species from the semi-arid Karoo region of South Africa are described here. Both have been confused withSatyrium erectumSw. in the past, yet have clear diagnostic characters which justify their recognition as distinct species.Satyrium pulchrumS. Johnson & Kurzweilsp. nov., known only from an isolated granite inselberg in Namaqualand, appears to be the sister taxon toS. erectum, whereasSatyrium pallensS. Johnson & Kurzweilsp. nov., known from several populations along the southern margins of the Karoo, has closer affinities toSatyrium longicolleLindl. These four species form a distinct monophyletic group characterized by several synapomorphies. The allopatric distribution pattern and considerable divergence in floral characters of the sister species suggest that speciation involved shifts in the pollination system of geographically isolated populations.
Miscellaneous notes on Sphagnum---12

Based on unique combinations of characters, five new species, Sphagnum [sect. Sphagnum] matogrossense, Sphagnum [sect. Sphagnum] hertelianum, Sphagnum [sect. Sphagnum] trollii, Sphagnum [sect. Subsecunda] uruguayense, and Sphagnum [sect. Acutifolia] amazonense, are added to the rich Sphagnum flora of South America.
Cambios estructurales en dentina radicular por el efecto de las soluciones irrigadoras en endodoncia. Revisión sistemática de la literatura

Antecedentes: El marco estructural de la dentina dado por la fraccion inorganica y organica, mantiene la integridad mecanica del diente en funcion. Factores como edad, procesos patologicos y uso de sustancias quimicas modifican de manera irreversible el sustrato dentinal. Objetivo: Analizar sistematicamente la evidencia disponible, identificando de manera cuantitativa el efecto en las propiedades biomecanicas que diferentes soluciones irrigadoras en endodoncia generan sobre la dentina radicular. Metodos: Busqueda de la literatura (Ano publicacion: 2009-2019), mediante una ecuacion determinada en diferentes bases de datos, publicaciones secundarias y tablas de contenido de revistas especializadas. Dos investigadores, incluyeron estudios in vitro de acuerdo a los criterios de elegibilidad. En ausencia de consenso, un tercer evaluador lo resolvio. El proceso de seleccion incluyo analisis secuencial de titulo, resumen y publicaciones duplicadas, hasta identificar articulos para lectura completa y evaluacion cualitativa y cuantitativa. Se diseno un instrumento para analisis de sesgo. Resultados: Acorde con la herramienta PRISMA, un proceso bibliometrico recupero 9026 titulos mediante la busqueda electronica, con un resultado de 153 titulos despues de eliminar duplicados. Posteriormente y acorde con la lectura de titulo, se seleccionaron 63 resumenes, cuya evaluacion incluyo 28 articulos para lectura completa. 9 articulos fueron seleccionados para evaluacion y analisis. Acorde con la valoracion de sesgo 8 publicaciones se calificaron con sesgo Incierto y 1 de ellas con Bajo sesgo. Finalmente, 6 de estos articulos se evaluaron cuantitativamente con el software RevMan5.3. 5. Conclusiones: Las propiedades biomecanicas del tejido dentinal dependen de la integridad de los componentes organicos e inorganicos de la dentina, los cuales se alteran por uso de irrigantes.
A cross-sectional study on the pattern of recurrence in carcinoma breast patients based on molecular subtypes

Background: Breast cancer is a major public health issue and it is the leading cause of cancer related death in females worldwide. New insights in the cancer treatment led to considerable improvement in the survival of cancer patients. But metastasis remain an area were all sorts of conventional treatments fails and it is the cause of death of most carcinoma breast patients. In this study we aim to establish a possible link to local recurrence and distant metastasis with different biological subtypes of breast cancer. Methods: One hundred and eighty patients of carcinoma breast patients of carcinoma breast who presented with local recurrence or distant metastasis in the period of January 2018 to March 2019 in Government Medical College, Thiruvananthapuram were included in this study. These data were collected from the hospital records. Results: Local recurrence was most seen in triple negative (50%) subtype followed by HER2 (32.1%) enriched. Local recurrence was least among luminal A (13.8%) with a p value of 0.001. Bone metastasis was the most common type of metastasis and was most seen in luminal A (p=0.001). Triple negative had the maximum CNS metastasis with a p value of 0.003. Liver metastasis was seen mostly in luminal B (26.2%) and A (20.7%) and lung metastasis in triple negative (13.5%) and HER2/neu (10.7%). However, there was no significant association for lung or liver metastasis to any subtype. Conclusions: Biological subtypes of breast cancer classified by immunohistochemical expression of ER, PR, HER2, Ki 67 show different clinicopathological features, recurrence pattern, and survival outcomes.
Papel das sinapses elétricas em crises epilépticas

AbStRACt The role of eletrical synapses in epileptic seizures Introduction: In the central nervous system, neuronal communication is accomplished by structures called synapses: electrical or chemical. Electrical synapses are formed by the apposition of plasmatic membranes at gap junctions and the interaction of connexin subunits from two neurons. At this site, connexin complexes create intercellular pores that communicate the cytoplasm of adjacent neurons and allow free flow of ions and small molecules. objective: In this review, we will present and discuss recent results showing the possible involvement of electrical synapses in the neuronal hypersynchronization during epileptic seizures. Results and conclusion: When a neuron is depolarized, ions flow very rapidly from one cell to the other promoting high neuronal synchrony. More recently, the role of gap junctions in the generation and propagation of epileptic discharges has been investigated using combined approaches of in vivo , in vitro
A 38-GHz Millimeter-Wave Double-Stacked HBT Class-F−1 High-Gain Power Amplifier in 130-nm SiGe-BiCMOS

Investigations into integrated millimeter-wave (mmW) Class-F−1 power amplifier (PA) in stacked configuration have not been reported previously. This article presents a novel two-stage double-stacked heterojunction bipolar transistor (HBT) Class-F−1 PA in the 130-nm SiGe-BiCMOS technology. The proposed amplifier operates at the mmW center frequency of 38 GHz. The driving stage of the amplifier is loaded with a Class-F harmonic network and the double-stacked power stage incorporates Class-F−1 loading. An interstage matching network is designed to deliver maximum power transfer from the driving stage to the power stage. The proposed new HBT amplifier yields a saturated output power of 21.2 dBm along with an overall gain of 22.1 dB and a peak power-added efficiency (PAE) of 30.1%. A figure-of-merit (FoM) of 69.68 was achieved for this amplifier which is the highest so far when compared with various recently reported integrated mmW Class-F−1/F PAs.
Static balance ability of persons with visual impairment on firm and foam surfaces

The Balance Error Scoring System (BESS) is an easily administered test of short duration static balance. In daily activities including sports, people with low vision (partially sighted) or partial blindness and visual impairment face difficulty while balancing their body in static positions. The purpose of this study is to test balance and stability of people with low vision or partially sightedness (PS) and full blindness (FB) using BESS test. The BESS was used to measure the error in the range from 0 for "excellent balance" and 10 for "very poor balance". A total of 106 volunteers participated in the study that included 43 PS (mean age = 17.5y, SD = 3.2y) and 63 FB (mean age = 20y, SD = 3.4y) volunteers. The test for the BESS was taken for Non-Dominant Leg (NDL) and Dominant Leg (DL). Descriptive statistics and non-parametric tests were carried out. The study revealed that all the combinations of correlation between Firm Surface (FS) and Foam Surface (FOS) were statistically significant at p<. 05. Test of age, height, and weight of the PS and FB group indicated significant differences between the groups in these variables. Surface firmness is less effective in evaluating balance for persons with visual impairments.
Bioactive Molecules from Indian Medicinal Plants as Possible Candidates for the Management of Neurodegenerative Disorders

The present review gives an account of various bioactive molecules obtained from Indian medicinal plants for neurological degenerative disorders. Emphasis is laid on their correlation with the plants used in traditional system of medicine in India. The methodology involved in present review was enlisting of medicinal plants used for neurodegenerative disorders followed by their chemistry. A correlation with the chemical constituents and their recent findings has been done. Many medicinal plants such as Aloe vera and Bacopa monnieri have documented correlations and also need to be explored more. Molecules like garcinol (34), which was originally an anticancer compound, have good correlation as neuroprotective agent. Likewise many plants that have not been explored but are used in traditional system of medicine have also been listed. Jaggery and honey, which are used in traditional formulations in large quantity, also have natural products that are used as neuroprotective agents. In conclusion, a lot more study is required to correlate the medicinal plants and herbal formulations to have much more natural products for neurodegenerative disorders.
Investigating Messaging Protocols for the Internet of Things (IoT)

As the number of Internet of Things (IoT) devices proliferates, the magnitude and velocity of data continues to increase rapidly. IoT systems rely primarily on using messaging protocols for exchanging IoT data and there exists several protocols or frameworks that support distinct types of messaging patterns. Given that IoT devices typically have limited computational resources and processing power, choosing a lightweight, reliable, scalable, interoperable, extensible and secure messaging protocol becomes a very challenging task. As a result, it is not uncommon that IoT systems may employ multiple messaging protocols for supporting device heterogeneity and different message exchange patterns. In addition, basic similarities among existing several messaging protocols or frameworks that exist today for exchanging IoT data within IoT systems suggest the potential of interoperability. Given that IoT systems help facilitate the interconnectivity among distributed, heterogeneous entities, interoperability among existing messaging protocols will play an increasingly important role in simplifying the development and deployment of IoT systems. In this paper, we present a comprehensive review of the existing messaging protocols that can be used in deploying IoT systems. Throughout this paper, we highlight the protocols’ distinctive approaches and applicability of using them across various IoT environments. In addition, we highlight challenges, strengths and weaknesses of these messaging protocols in the context of IoT.
FACTORS INFLUENCING POSITIVE CUSTOMER EXPERIENCES ONLINE

The main purpose of this article is to identify factors and measure their influence on creation of positive customer experiences online. Methods that are used in this article are literature analysis for factor identification and Analytic Hierarchy Process, Kendall coefficient of expert competence and TOPSIS method to assess the influence that identified factors have on creation of positive customer experience online. For the conducted research, two groups of respondents were used. One group consisted of experts from fields related to the topic of this article and another was a group of target audience who responded to given questions. Research revealed how each factor influences creation of positive customer experiences online. In addition to this, companies from a similar business field were ranked using TOPSIS method based on how each factor affects each company. DOI: https://doi.org/10.3846/vvf.2020. 011
Design on Type-2 Fuzzy-Based Distributed Supervisory Control With Backlash-Like Hysteresis

In this article, the distributed synchronization control problem is investigated for a class of uncertain nonlinear leader-following systems on directed graph, where unknown backlash-like hysteresis exists in the actuator of each follower and the topology of the graph is fixed. Based on basic graph theory, the principle of variable structure control and Lyapunov theory, by using the unknown smooth function approximation capability of type-2 fuzzy logic systems, a new distributed adaptive supervisory control design method is proposed such that all followers asymptotically synchronize to the leader and each synchronizing error is bounded. In the control method, with the help of supervisor control strategy, it is guaranteed that the resulting closed-loop signals including system states, respectively, belong to the corresponding compact sets, which is necessary for fuzzy approximation theory because it is on a compact set that an unknown smooth function can be approximated by fuzzy logic system. Furthermore, the adaptive compensation terms of the optimal approximation errors are adopted to reduce the effects of modeling errors. Finally, simulation results demonstrate the effectiveness of the proposed new design method.
The determination of the D.P.D. of Satsuma orange leaves (Citrus unshiu MARC.) by the Chardakov Dye method

Measurements of the diffusion pressure deficit (D.P.D.) of Satsuma orange trees (Citrus unshiu MARC.) growing both in pots and field were carried out by the Chardakov Dye method, There was negative correlation between the D.P.D. and soil moisture content, and the inflextion point seemed to lie near the moisture equivalent. As the water saturation deficit (W.S.D.) was positively correlated with the D.P.D. , it may be used to estimate the D.P.D. , but it takes many more hours to measure the W.S. D. than to measure the D.P.D. by this dye settling method. The diurnal change of the D.P.D in winter took place at a higher and narrower range than in summer.
Independent regulation of the GPXH gene expression by primary and secondary effects of high light stress in Chlamydomonas reinhardtii

The expression of the GPXH gene, coding for a phospholipid hydroperoxide glutathione peroxidase homologous protein, was shown to be strongly induced in Chlamydomonas reinhardtii exposed to photooxidative stress conditions like high light illumination. Here, we show that the response of the GPXH gene to high-light conditions is induced by two independent signals and mechanisms: first, there is a fast but transient transcriptional induction by singlet oxygen formed after charge recombination and energy transfer from the overexcited photosystem II reaction center to molecular oxygen. Second, upon very strong or ongoing photooxidative stress, GPXH upregulation is further stimulated presumably by an mRNA stabilization mechanism as a result of lipid hydroperoxide formation. This could be confirmed by imitating the high-light response of GPXH by exposing cultures of C. reinhardtii to a mixture of the singlet oxygen producing photosensitizer rose bengal and organic hydroperoxides. Furthermore, determination of mRNA decay rates allowed simulating the GPXH responses to various stress conditions with a mathematical model. A preventive effect of singlet oxygen formation on the resistance against photooxidative stress and lipid peroxidation was shown by acclimation experiments. Thus, the consecutive regulation of GPXH expression by an early transcriptional upregulation by a primary (singlet oxygen formation) and a time-dependent stabilization of mRNA levels by a secondary effect (lipid peroxidation) of high light stress might be an efficient mechanism to control the stress response.
Metabolism and Functions of Lipids and Fatty Acids in Teleost Fish

Lipids and their constituent fatty acids are, along with proteins, the major organic constituents of fish, and they play major roles as sources of metabolic energy for growth including reproduction and movement, including migration. Furthermore, the fatty acids of fish lipids are rich in ω3 long chain, highly unsaturated fatty acids (n-3 HUFA) that have particularly important roles in animal nutrition, including fish and human nutrition, reflecting their roles in critical physiological processes. Indeed, fish are the most important food source of these vital nutrients for man. Thus, the longstanding interest in fish lipids stems from their abundance and their uniqueness. This review attempts to summarize our present state of knowledge of various aspects of the basic biochemistry, metabolism, and functions of fatty acids, and the lipids they constitute part of, in fish, seeking where possible to relate that understanding as much to fish in their natural environment as to farmed fish. In doing so, it highlights the areas that require investigation in greater depth and also the increasing application of molecular technologies in fish lipid metabolism, which will further fascilitate advances through molecular biological and genetic techniques, including genomics and proteomics.
Random Forest-Bayesian Optimization for Product Quality Prediction With Large-Scale Dimensions in Process Industrial Cyber–Physical Systems

Cyber–physical systems and data-driven techniques have potentials to facilitate the prediction and control of product quality, which is one of the two most important issues in modern industries. In this article, we integrate random forest (RF) with Bayesian optimization for quality prediction with large-scale dimensions data, selecting crucial production elements by information gain, and then utilizing sensitivity analysis to maintain product quality. Horizontal empirical experiments are performed to verify the superiorities of RF embedded within Bayesian optimization over classical RF, support vector machine, logistic regression, decision tree, and even background propagation neural network. Besides, we find fewer but critical features handled by RF-Bayesian optimization can realize satisfactory forecast accuracy as well as cost-effective computing time, where we interpret it with Herbert A. Simon’s management decision theory and Pareto principle. Consequently, the results could provide managerial insights and operational guidance for product quality prediction and control at the real-life process industry.
Direct Assessment of Microbial Colonisation in Damp Houses by Chemical Marker Analysis

Ergosterol was used as a marker of fungal biomass and 3-hydroxy fatty acids were used as markers of bacterial endotoxin to determine microbial colonisation of building materials by gas chromatographymass spectrometry. Pieces (0.3-0.5 g) of materials from two water-damaged buildings were hydrolysed to liberate the markers from larger microbial structures; the preparations were then purified, derivatised, and analysed. The marker patterns obtained revealed that the microbial communities differed between the two buildings both qualitatively and quantitatively. The chemical-analytical method described should be useful for detecting and characterising microbial colonisation on surfaces in, for example, damp buildings.
Automatic Vehicle License Plate Recognition Using Optimal K-Means With Convolutional Neural Network for Intelligent Transportation Systems

Due to recent developments in highway research and increased utilization of vehicles, there has been significant interest paid on latest, effective, and precise Intelligent Transportation System (ITS). The process of identifying particular objects in an image plays a crucial part in the fields of computer vision or digital image processing. Vehicle License Plate Recognition (VLPR) process is a challenging process because of variations in viewpoint, shape, color, multiple formats and non-uniform illumination conditions at the time of image acquisition. This paper presents an effective deep learning-based VLPR model using optimal K-means (OKM) clustering-based segmentation and Convolutional Neural Network (CNN) based recognition called OKM-CNN model. The proposed OKM-CNN model operates on three main stages namely License Plate (LP) detection, segmentation using OKM clustering technique and license plate number recognition using CNN model. During first stage, LP localization and detection process take place using Improved Bernsen Algorithm (IBA) and Connected Component Analysis (CCA) models. Then, OKM clustering with Krill Herd (KH) algorithm get executed to segment the LP image. Finally, the characters in LP get recognized with the help of CNN model. An extensive experimental investigation was conducted using three datasets namely Stanford Cars, FZU Cars and HumAIn 2019 Challenge dataset. The attained simulation outcome ensured effective performance of the OKM-CNN model over other compared methods in a considerable way.