Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectrum of Common and Rare Small Molecule Inborn Errors of Metabolism Diagnosed in a Tertiary Care Center of Maharashtra, India

Introduction Inborn errors of metabolism (IEM) form a large group of genetic diseases involving defects in genes coding for enzymes, receptors, and cofactors in the metabolic pathways of small and large molecules. The present study is the comprehensive data analysis of the tandem mass spectrometry (TMS) and urine metabolic pattern for the diagnosis of IEMs by gas chromatography and mass spectrometry (GC/MS) in samples received for high-risk IEM screening. Methods We conducted a retrospective analysis of children diagnosed with IEMs presenting at the genetic clinic of Mahatma Gandhi Missions (MGM) Medical College, Aurangabad. This article summarizes retrospective data of 40 pediatric cases over a three-year period, diagnosed with small molecule IEM based on the standard testing criteria. Results Out of 40, 17 patients (42.5%) were found to have organic acidemias, four (10%) had fatty acid oxidation defects, six (15%) had disorders of aminoacidopathies, seven (17.5%) had mitochondrial diseases, and three (7.5%) had urea cycle defects. One patient in each group (2.5% each) had carbohydrate metabolism defects, purine metabolic defects, and neurotransmitter metabolic defects. Conclusions This clinico-etiological profile study has thrown light on the clinical features and natural course of many common and rare IEMs, and it may provide clinicians with a deeper understanding of these conditions, allowing for improved early diagnosis and treatment of these diseases. Because of the high degree of consanguinity and marriages in the same community, common as well as many rare inherited metabolic diseases were diagnosed and novel genetic variants were identified.
An Evaluation of the Hydrolytic Stability of Selected Experimental Dental Matrices and Composites

Materials with potential use as dental restoration should be evaluated in an aggressive environment. Such accelerated aging is widely used in other industries and allows the assessment of service life. In the presented study, three neat resins (UDMA/Bis-GMA/TEGDMA 70/10/20 wt.%, UDMA/Bis-GMA/TEGDMA 40/40/20 wt.% and UDMA/Bis-EMA/TEGDMA 40/40/20 wt.%) and three composites based on these matrices were tested before and after aging protocols (I-7500 cycles, 5 °C and 55 °C, water and 7 days, 60 °C, 0.1 M NaOH; II-5 days, 55 °C, water and 7 days, 60 °C, 0.1 M NaOH). Flexural strength (FS), diametral tensile strength (DTS) and hardness (HV) were determined. Applied aging protocols resulted in a decrease in the value of the FS, DTS and HV. Larger changes were noticed for the neat resins. Materials in which the content of bis-GMA was lower or substituted by bis-EMA showed better resistance to degradation. The choice of mixtures with monomers characterized by lower sorption values may favorably affect hydrolytic stability. It was shown that for composites there was a drastic decrease in hardness, which suggests a more superficial effect of the used protocols. However, degradation of the surface layer can result in a growing problem over time given that the mastication processes are an inherent element in the oral environment.
Is the Prevalence of Low Physical Activity among Teachers Associated with Depression, Anxiety, and Stress?

The aim of this study was to analyze the levels of stress, depression, and anxiety among Polish secondary school teachers and their association with selected psychosocial, sociodemographic, and lifestyle factors. A cross-sectional study was conducted among 116 Polish teachers in 2019, using the International Physical Activity Questionnaire—Short Form (IPAQ-SF), the Depression and Anxiety Stress Scale (DASS-21), and author questionnaire including psychosocial factors specific to the respondents’ work environment. The prevalence of moderately to extremely severe levels of depression, anxiety, and symptoms of stress in teachers was 18.1%, 22.4%, and 51.7%, respectively. Among respondents with moderate or high physical activity level (PAL), normal or mild levels of depression (OR = 3.62; CI [1.31–10.03]), anxiety (OR = 2.61; CI [1.01–6.73]), and stress (OR = 2.79; CI [1.16–6.69]) were more common. The level of individual symptoms of mental disorders was higher than indicated by previous Polish reports. Given that teachers’ low PAL is significantly related to their moderately to extremely severe levels of stress, depression, and anxiety, we suggest running leisure-time physical activity (LTPA) enhancement programs and supporting the leadership of school management and the higher-education system in this regard.
Advances in Engineering and Application of Optogenetic Indicators for Neuroscience

Our ability to investigate the brain is limited by available technologies that can record biological processes in vivo with suitable spatiotemporal resolution. Advances in optogenetics now enable optical recording and perturbation of central physiological processes within the intact brains of model organisms. By monitoring key signaling molecules noninvasively, we can better appreciate how information is processed and integrated within intact circuits. In this review, we describe recent efforts engineering genetically-encoded fluorescence indicators to monitor neuronal activity. We summarize recent advances of sensors for calcium, potassium, voltage, and select neurotransmitters, focusing on their molecular design, properties, and current limitations. We also highlight impressive applications of these sensors in neuroscience research. We adopt the view that advances in sensor engineering will yield enduring insights on systems neuroscience. Neuroscientists are eager to adopt suitable tools for imaging neural activity in vivo, making this a golden age for engineering optogenetic indicators.
Sowing Date Regulates the Growth and Yield of Broomcorn Millet (Panicum miliaceum L.): From Two Different Ecological Sites on the Loess Plateau of China

A two-year experiment was conducted to determine the optimal combinations of sowing date and variety maturity using four broomcorn millet (Panicum miliaceum L.) varieties. The results showed that sowing dates had significant effects on the leaf net photosynthesis (Pn) and chlorophyll fluorescence and multivariate analysis showed that the effects of variety, sowing date, measuring stage and their interactions were significant in both sites. The days from seeding to maturity were strongly decreased (6–35 d) and the ratios of reproductive growth to vegetative growth were increased in V2 and V4 and decreased in V1 and V3 in Baoji and increased in all varieties in Yulin. The highest yield was Jinshu 5 in Baoji and Shaanmei 1 in Yulin, and the total average yield of Yulin (2408.3 kg ha−1) was higher than that of Baoji (1385.2 kg ha−1) and the average yield was reduced by 12.4% and 27.2% compared to BJ1 in Baoji and 15.5%, 3.6% and 12.7% compared to YL1 in Yulin. Correlation analysis showed that the key meteorological factors which limit the growth and yield of broomcorn millet were different for the two sites. Moreover, linear fitting analysis indicated that the accumulated temperature and the number of growth days in the reproductive growth stage (R2 = 0.5306 and 0.5139) and accumulated temperature during the whole growth period (R2 = 0.4323) were the top three factors affecting the yield in Baoji and precipitation (R2 = 0.386) affected the yield in Yulin. Overall, the results of this study determined that the varieties of broomcorn millet with a short growth period should have delayed sowing, while those with a longer growth period are suitable for early sowing in the semi-arid area.
Effects of spinal structure on quadruped bounding gait

Abstract This paper proposes a robot model with multiple spines and investigates its effects on the bounding gait of quadruped robot. Contrastive tests, carried out by adding an active driving joint (ADJ) and changing the number of passive driving joints, were divided between simulation and physical. The results reveal that the spinal structure (one ADJ and several passive driving joints) is closely related to the performance parameters. Increasing the number of passive driving joints can improve the velocity and energy efficiency. This structure may have significant guidance for designing a quadruped robot.
The Author-Level Metrics Study: An Analysis of the Traditional and Alternative Metrics of Scholarly Impact for Neurosurgical Authors

Background and objective There is a paucity of information regarding the concordance of traditional metrics across publicly searchable databases and about the correlation between alternative and traditional metrics for neurosurgical authors. In this study, we aimed to assess the congruence between traditional metrics reported across Google Scholar (GS), Scopus (Sc), and ResearchGate (RG). We also aimed to establish the mathematical correlation between traditional metrics and alternative metrics provided by ResearchGate. Methods Author names listed on papers published in the Journal of Neurosurgery (JNS) in 2019 were collated. Traditional metrics [number of publications (NP), number of citations (NC), and author H-indices (AHi)] and alternative metrics (RG score, Research Interest score, etc. from RG and the GS i10-index) were also collected from publicly searchable author profiles. The concordance between the traditional metrics across the three databases was assessed using the intraclass correlation coefficient and Bland-Altman (BA) plots. The mathematical relation between the traditional and alternative metrics was analyzed. Results The AHi showed excellent agreement across the three databases studied. The level of agreement for NP and NC was good at lower median counts. At higher median counts, we found an increase in disagreement, especially for NP. The RG score, number of followers on RG, and Research Interest score independently predicted NC and AHi with a reasonable degree of accuracy. Conclusions A composite author-level matrix with AHi, RG score, Research Interest score, and the number of RG followers could be used to generate an "Impact Matrix" to describe the scholarly and real-world impact of a clinician’s work.
High step-up DC-DC converter with switched capacitor-coupled inductor and voltage multiplier module

A high step-up dc-dc converter based on a switched capacitor-coupled inductor (SC-CL) with voltage multiplier cells is proposed. It is composed of a SC-CL and a voltage multiplier module stacked on the load side. SC-CL produces the maximum output voltage with maximum voltage gain. These features make the projected converter suitable for renewable energy applications such as solar photovoltaic (PV). A low turn ratio of the coupled inductor is used for realizing the higher gain. It consists of a voltage boost unit SC-CL and a voltage multiplier module. In a DC micro-grid, PV energy is one of the utmost significant sources of power. Since the PV source voltage is very low, a very high voltage gain converter is required for a DC microgrid. Here, a step-up DC-DC converter topology with a very high voltage gain characteristic is proposed. The projected converter was simulated by MATLAB/Simulink to convert 30 V to 380 V.
Carbapenem-Resistant Enterobacteriaceae: A Retrospective Review of Presentation, Treatment, and Clinical Outcomes in a Tertiary Care Referral Hospital

Background: Carbapenem-resistant Enterobacteriaceae (CRE) is an emerging infectious threat with an increasing incidence locally and worldwide. It carries a high morbidity and mortality; focusing on this topic should be a priority in clinical research as local data are not widely available. The objective of this study is to describe the presentation, risk factors, treatment pattern and clinical outcomes associated with CRE infections. Methods: We conducted a cross-sectional retrospective study in a single center tertiary referral hospital. We included adult patients above 18 years of age with infection due to CRE between January 1, 2018, to December 30, 2019. Results: During this period, 76 cases were studied. The mean age of the cases was 54 years. The majority were immunosuppressed and admitted to the intensive care unit. The most frequent risk factors associated with CRE infection among study subjects included prior antibiotics in the preceding three months and prior hospital admission in the last one year. Klebsiella pneumoniae (77%) represented the most isolated organism. All-cause intensive care unit and in-hospital mortality were significantly higher among patients with pneumonia and bacteremia. Conclusions: CRE infections are associated with higher morbidity and mortality specifically in patients who presented with pneumonia and bacteremia. High resistance rate and limited treatment options have made a great variability in the clinical practice. Appropriate definitive treatment of CRE infections, strict infection control measures, and antimicrobial stewardship program activation are essential.
Electric Vehicle Battery Charger with Improved Power Quality Cuk-Derived PFC Converter

In this paper, an improved power quality converter derived from Cuk converter is proposed for the electric vehicle battery charging under universal-input voltage operation. The proposed converter offers high voltage gain, low voltage stress across the switch, lower conduction losses and reverse recovery losses during low input voltage condition. It yields improvement in efficiency at the low input supply voltage over the single-switch converters such as buck-boost, fly-back, SEPIC, and Cuk topologies and two-switch buck-boost cascaded converters. The proposed converter is designed to operate in a continuous conduction mode. The modeling and simulation of converter are carried out in the Simulink environment of MATLAB software. The developed simulink model is validated by a prototype model of same specification using Xilinx made Spartan3 processor under MATLAB environment in real time. To investigate the performance of the converter in terms of power quality indices like THD, input PF of source voltage and source current are evaluated under constant voltage and constant current modes of battery charging, for Journal of Green Engineering, Vol. 7, 255–284. doi: 10.13052/jge1904-4720.71211 c © 2017 River Publishers. All rights reserved. 256 B. R. Ananthapadmanabha et al. wide range of supply voltage variations. The performance of the converter is tested both in steady state and transient conditions.
Improved DC Performance of Nanotube Junctionless Field Effect Transistors with Dielectric Pocket Integration

A nanotube architecture of functionless field effect transistor (JLFET) is investigated wherein it is observed that the performance characteristics of JLFET are improved by introducing dielectric pockets into the device near the source-channel and channel-drain interfaces by coming up with a novel structure of nanotube junctionless FET (NTJLFET) called as dielectric pocket-NTJLFET (DP-NTJLFET). Using TCAD tool, the proposed DP-NTJLFET has been simulated for a channel length of 20 nm in order to consider and show the improvement in various short-channel effects. The inclusion of dielectric pockets into the device significantly reduced the OFF-state current, which eventually improved the current switching ratio (~2600%) for a pocket length and thickness of 4 and 7nm, respectively. Further, the proposed device exhibits an improved subthreshold swing characteristics and a better measure of DIBL (improved by ~ 12%) for DP-NTJLFET as compared to the conventional NTJLFET. As a result of achieving low OFF-state current, the proposed DP-NTJLFET may be found suitable for the future low-power applications.
Averaged large-signal model of a DC-DC isolated forward resonant reset converter for a solar cell battery charger using internet of things: implementation

In this study, an analysis and modeling circuit for controlling battery charge solar cells based on data management through internet of things (IoT) is presented. For this proposed, a DC-DC forward resonant reset converter is employed and can be charged at a constant current and constant voltage. Data management of various parameters using IoT technology is provided, via which notifications can be sent to an external application. The proposed converter can give an output voltage of 14.4 VDC for a voltage range including between 9 and 18 VDC, using an isolated transformer and a halfwave rectifier circuit. The main switch of the forward resonant reset converter can operate under a zero-turn-on condition. This approach has the benefit of utilizing a leaking inductance. Llkp and resonant capacitor Cr to reset the remaining flux saturation on the high-frequency transformer. A simulation model prototype was created and tested at a set switching frequency of 50 kHz, 14.4 VDC constant output voltage, and output power of approximately 29 W. An efficiency of 96% at maximum full load can be reached. The proposed analysis techniques and mathematical model were verified via simulation and experimental results, and the obtained results are in agreement with the theoretical analysis.
Transport Mechanisms at the Blood–Brain Barrier and in Cellular Compartments of the Neurovascular Unit: Focus on CNS Delivery of Small Molecule Drugs

Ischemic stroke is a primary origin of morbidity and mortality in the United States and around the world. Indeed, several research projects have attempted to discover new drugs or repurpose existing therapeutics to advance stroke pharmacotherapy. Many of these preclinical stroke studies have reported positive results for neuroprotective agents; however, only one compound (3K3A-activated protein C (3K3A-APC)) has advanced to Phase III clinical trial evaluation. One reason for these many failures is the lack of consideration of transport mechanisms at the blood–brain barrier (BBB) and neurovascular unit (NVU). These endogenous transport processes function as a “gateway” that is a primary determinant of efficacious brain concentrations for centrally acting drugs. Despite the knowledge that some neuroprotective agents (i.e., statins and memantine) are substrates for these endogenous BBB transporters, preclinical stroke studies have largely ignored the role of transporters in CNS drug disposition. Here, we review the current knowledge on specific BBB transporters that either limit drug uptake into the brain (i.e., ATP-binding cassette (ABC) transporters) or can be targeted for optimized drug delivery (i.e., solute carrier (SLC) transporters). Additionally, we highlight the current knowledge on transporter expression in astrocytes, microglia, pericytes, and neurons with an emphasis on transport mechanisms in these cell types that can influence drug distribution within the brain.
Equatorial Plasma Bubble Detection Using Vertical TEC From Altimetry Satellite

In this study, we detect the equatorial plasma bubble (EPB) using vertical total electron content (vTEC) from altimetry satellite for the first time. The Jason‐2 vTEC data during the high solar activity year of 2014 are employed to investigate the characteristics of EPB. The latitudinal and temporal variations of EPB are analyzed first and the results are consistent to those of previous reported studies, suggesting the observed EPB events are reliable. Furthermore, due to the features of vTEC, the zonal scale and vertical depth of EPB are also obtained: the zonal scale varies mainly with small scope of 0.5 ∼ 1.5° and seems to be independent of latitude, whereas the vertical depth is related to latitude with large value located in the crest region of the equatorial anomaly. The results show the altimetry satellite vTEC is feasible for EPB detection and can serve as a new tool for EPB monitoring.
Direct Determination of Geomagnetic Baselines During Quiet Periods for Low‐ and Mid‐Latitude Observatories

The geomagnetic field is composed of a variety of sources that act on a wide range of timescales and amplitudes. The separation of magnetic storm effects from quiet variations is needed to accurately quantify impacts of space weather events. The extraction of such quiet contributions within geomagnetic measurements is achieved by the determination of baselines, which, ideally, is done by a simple algorithm which captures quiet sources suitably well, while being applicable to an extensive network of magnetic observatories independent of the period of time. In this work, we apply signal filtering techniques on the horizontal components of geomagnetic field measurements from low‐ and mid‐latitude observatories to determine baselines. The variations within the baseline are investigated for magnetically quiet periods between 1991 and 2019, focusing on long‐term trends, seasonal and local time dependencies, and day‐to‐day variability. The analysis confirms that the contributing quiet sources include the secular variation and the solar quiet (Sq) current system. The non‐negligible day‐to‐day variability, that is typical for Sq in low‐ and mid‐latitudes, is embedded within the baseline. Thus, the filter approach extracts quiet magnetic field variations well. Comparisons with other baseline methods show good agreements. We conclude that the filter approach can be used to determine baselines automatically during magnetically quiet periods without the need of further apriori information and is applicable on a wide network of magnetic observatories. It marks the first step for deriving magnetic indices for (near) real‐time space weather applications.
Parent-Assisted Social Skills Training for Children With Autism Spectrum Disorder: PEERS for Preschoolers

The establishment of reciprocal friendships is a challenge for many individuals with autism spectrum disorder (ASD). Social interaction difficulties emerge early, persist throughout development, and have widespread functional impact. As such, interventions focused on social functioning are needed in early intervention programs. This two-part study evaluated the outcomes of a parent-assisted social skills training (SST) program for young children with ASD. The intervention is a downward extension of the Program for the Education and Enrichment of Relational Skills (PEERS(R)), which is one of the few evidence-based SST programs for adolescents and young adults with ASD. Modifications included developmentally appropriate social skills, greater parent involvement, and behavioral strategies embedded in play-based activities. Results reveal improvements in parent ratings of social responsiveness, social cognition, and social motivation, as well as decreased (a) restricted/repetitive behaviors and interests and (b) problem behaviors. Results are promising and encourage further evaluation of this SST curriculum.
Impact of mobility based network on COVID-19 spread

ABSTRACT COVID-19 has had a strong impact on this world. With the spreading of the virus and the implementation of various mitigation measures, the pandemic has indubitably upended our way of living. Research indicates that mobility is one of the key reasons of the spread. The purpose of this paper is to provide a suitable mobility measure based on intra-county and inter-county movements on the spreading of COVID-19 in the United States. Deviating from the extant research, which measures mobility by the average distance people travel, we operationalise mobility by the number of trips made. We further weigh them based on the current caseload, as the spread will not only depend on how many people are moving but also the proportion of infectious people within them. We also distinguish such trips based on their origin and destination, as that may help in taking appropriate policy decisions for intervention.