Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of acoustic stimulation during sleep on memory and sleep architecture: A meta‐analysis

The relationship between sleep and cognition has long been recognized, with slow‐wave sleep thought to play a critical role in long‐term memory consolidation. Recent research has presented the possibility that non‐invasive acoustic stimulation during sleep could enhance memory consolidation. Herein, we report a random‐effects model meta‐analysis examining the impact of this intervention on memory and sleep architecture in healthy adults. Sixteen studies were identified through a systematic search. We found a medium significant effect of acoustic stimulation on memory task performance (g = 0.68, p = .031) in young adults <35 years of age, but no statistically significant effect in adults >35 years of age (g = −0.83, p = .223). In young adults, there was a large statistically significant effect for declarative memory tasks (g = 0.87, p = .014) but no effect for non‐declarative tasks (g = −0.25, p = .357). There were no statistically significant differences in polysomnography‐derived sleep architecture values between sham and stimulation conditions in either young or older adults. Based on these results, it appears that acoustic stimulation during sleep may only be an effective intervention for declarative memory consolidation in young adults. However, the small number of studies in this area, their small sample sizes, the short‐term nature of most investigations and the high between‐studies heterogeneity highlight a need for high‐powered and long‐term experiments to better elucidate, and subsequently maximise, any potential benefits of this novel approach.
Biodiversity of South Indian tea clones with detection of plant-based adulterants in tea dust using DNA barcoding

Abstract Tea is by and large a highly penetrated product in south India. Hence the adulteration risk in tea dust gets hiked in the markets. We constructed a standard database using plant plastid markers (rbcL, matK, trnH-psbA, rpoC, rpoB, ycf 1) and nuclear (ITS2) locus from prominent south Indian tea clones representing Assam, China, and Cambod varieties. These barcodes were used as reference algorithm to investigate the authenticity of 10 sampled commercial tea dust by recovering its DNA barcodes using rbcL, matK, and ITS2 loci. PCR amplification success, sequencing efficiency, genetic polymorphisms, BLAST search, and phylogenetic analysis were performed to enhance genotypic information on south tea cultivars and in authenticating the commercial samples of Camellia sinensis. Findings suggest that the chloroplast and nuclear loci can identify tea plant at the genus and varietal level respectively and rbcL as the potential marker for detecting plant-based admixtures coupled with TA cloning after DNA barcoding. Graphical Abstract
Reluctance synchronous machine drive for hybrid electric vehicle

The reluctance synchronous machine drive is amazingly not mentioned in literature as a possible alternative drive for electric vehicle propulsion. The paper describes the use of a small, compact reluctance synchronous machine drive for a series hybrid electric vehicle. The advantages and disadvantages of this drive compared to other drives are highlighted. It is shown that a finite element optimum designed flux barrier rotor reluctance synchronous machine has good torque density and efficiency. The machine is current angle-controlled for maximum torque per ampere or minimum kVA. This ensures that the machine is operated reasonably close to optimal efficiency for all loads. The simple drive controller together with an optimum layout three-phase IGBT inverter forms a compact power controller for the vehicle. The calculated and measured results of the reluctance synchronous machine drive system for the electric vehicle are given. The 28 kW peak reluctance synchronous machine is used to drive the front wheels of a sedan, series hybrid electric vehicle through a differential with a gear ratio of 4.5:1. Simulation results show, amongst others, that with the single RSM drive generating a peak torque of 120 Nm, the 1445 kg vehicle accelerates from 0-80 km/h in 25.5 seconds. The maximum speed is 120 km/h.
Spectral characterization of liquid hemoglobin phantoms with varying oxygenation states

Abstract. Significance: For optical methods to accurately assess hemoglobin oxygen saturation in vivo, an independently verifiable tissue-like standard is required for validation. For this purpose, we propose three hemoglobin preparations and evaluate methods to characterize them. Aim: To spectrally characterize three different hemoglobin preparations using multiple spectroscopic methods and to compare their absorption spectra to commonly used reference spectra. Approach: Absorption spectra of three hemoglobin preparations in solution were characterized using spectroscopic collimated transmission: whole blood, lysed blood, and ferrous-stabilized hemoglobin. Tissue-mimicking phantoms composed of Intralipid, and the hemoglobin solutions were characterized using spatial frequency-domain spectroscopy (SFDS) and enhanced perfusion and oxygen saturation (EPOS) techniques while using yeast to deplete oxygen. Results: All hemoglobin preparations exhibited similar absorption spectra when accounting for methemoglobin and scattering in their oxyhemoglobin and deoxyhemoglobin forms, respectively. However, systematic differences were observed in the fitting depending on the reference spectra used. For the tissue-mimicking phantoms, SFDS measurements at the surface of the phantom were affected by oxygen diffusion at the interface with air, associated with higher values than for the EPOS system. Conclusions: We show the validity of different blood phantoms and what considerations need to be addressed in each case to utilize them equivalently.
Icariin activates autophagy to trigger TGFβ1 upregulation and promote angiogenesis in EA.hy926 human vascular endothelial cells

ABSTRACT Angiogenesis plays an important role in tissue development and repair, and how to regulate angiogenesis effectively is a widely studied problem in the biomedical field. In recent years, the role of autophagy in vascular endothelial cells has attracted extensive attention. Icariin (ICA) is a traditional Chinese medicine that has been proven to have outstanding protective effects on the vascular system and to regulate cellular autophagy effectively. However, at present, it has not been reported whether ICA can affect the angiogenic ability of endothelial cells by affecting autophagy. In this study, we aimed to investigate whether ICA affects the angiogenesis capacity of EA.hy926 human vascular endothelial cells through autophagy and explain the underlying potential mechanisms. First, we determined that ICA at appropriate concentrations has the ability to promote cell migration and angiogenesis using wound healing assays and tube formation assays. Then, at the molecular level, we observed the upregulation of VEGFA, VEGFR2, ANGI, ANGII, and Tie2 mRNA and detected the upregulation of TGFβ1 protein by Western blotting. We also demonstrated that angiogenic concentrations of ICA can effectively activate autophagy. The autophagy inhibitor 3-MA significantly suppressed TGFβ1 expression and tube formation in EA.hy926 cells. Overall, we hope that our studies might help to further understand the effect of ICA on vascular endothelial cells and provide a theoretical basis for future angiogenic applications of ICA
Characterization and optimization of scan speed for tapping-mode atomic force microscopy

Increasing the imaging speed of tapping mode atomic force microscopy (AFM) has important practical and scientific applications. The scan speed of tapping-mode AFMs is limited by the speed of the feedback loop that maintains a constant tapping amplitude. This article seeks to illuminate these limits to scanning speed. The limits to the feedback loop are: (1) slow transient response of probe; (2) instability limitations of high-quality factor (Q) systems; (3) feedback actuator bandwidth; (4) error signal saturation; and the (5) rms-to-dc converter. The article will also suggest solutions to mitigate these limitations. These limitations can be addressed through integrating a faster feedback actuator as well as active control of the dynamics of the cantilever.
Effects of home-based virtual reality telerehabilitation system in people with multiple sclerosis: A randomized controlled trial

Background and objective Multiple sclerosis is an inflammatory and neurodegenerative disorder of the central nervous system that can lead to severe motor disability. The aim of this study was to verify the health care effects of an integrated telerehabilitation approach involving dual-domains (motor and cognitive) in people with multiple sclerosis using a virtual reality rehabilitation system compared to a home-based conventional rehabilitative intervention usual care for patient-relevant outcomes (motor, cognitive and participation). Methods This multicentre interventional, randomized controlled trial included 70 participants with multiple sclerosis, 35 in the telerehabilitation group (30 sessions of home-based virtual reality rehabilitation system training, five sessions for week each lasting 45 min) and 35 in the usual care group (30 sessions of conventional treatment, five sessions for week). Participants completed the assessment of motor, cognitive and participation outcomes at baseline and after 6 weeks of treatment. Results In total, 63.3% of the telerehabilitation group exhibited improvement in the physical domain of the quality of life (p = 0.045). The telerehabilitation group showed greater improvement than the usual care group in Mini-BESTest domains of balance (p = 0.014), postural control (p = 0.024), and dynamic walking (p = 0.020) at post-treatment. Higher adherence was registered for telerehabilitation compared with usual care (86.67% vs. 80.0%). Discussion This study provides evidence that people with multiple sclerosis can benefit from telerehabilitation treatment in the physical domain of the quality of life and motor symptoms. Moreover, considering the persistent COVID-19 emergency, telerehabilitation can represent an effective telemedicine solution for safely delivering effective rehabilitation care to people with multiple sclerosis. Trial registration number and trial register This trial was registered at ClinicalTrials.gov (NCT03444454).
Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure

Risk factors for asymptomatic echocardiographic abnormalities that predict symptomatic heart failure (HF) may provide insight into early mechanisms of HF pathogenesis. We examined risk factors associated with asymptomatic echocardiographic structural, systolic, and diastolic abnormalities, separately and in combination, and interactions between risk factors, in the prospective community‐based SCReening Evaluation of the Evolution of New HF (SCREEN‐HF) Study cohort of 3190 participants at increased risk of cardiovascular disease.
A Year into the Pandemic: An Update on Women in Science, Technology, Engineering, Math, and Medicine

The coronavirus pandemic revealed long-standing, unaddressed fissures in our systems, including dramatic gender inequities in science, technology, engineering, mathematics, and medicine (STEMM) fields. Women have disproportionately carried the burden of childcare and other caregiving responsibilities during the pandemic, and there are strong indications that the pandemic will likely exacerbate preexisting disparities in the pipeline of women in STEMM and in leadership positions. Based on a literature review, our own experiences, and the experiences of our colleagues, we review promising strategies that have been implemented by funding bodies, journals, professional societies, and colleges/universities as well as additional strategies that might be helpful for these entities to implement to move forward with policies in place that address gender inequities and rebuild our institutional systems better. At this moment in time, institutions should collect data on metrics such as recruitment, retention, tenure/promotion, funding, professional society membership, awards/honors, and scientific publishing. These data will be essential in determining the impact of policies on women in STEMM to ensure they are having the intended effect as well as what future actions might be necessary in an iterative process.
Therapeutics studies and biological properties of Teucrium polium (Lamiaceae)

Teucrium polium has been used in traditional medicine as antifungal, antipyretic, antispasmodic, and antibacterial. It is consumed by many jordanians for the treatment of many diseases. The effects of this plant have been investigated in kidney, liver, and brain. Its antidiabetic, antimicrobial, antioxidant, and anticancer effects have been introduced. Polyphenolic compound, flavonoids, monoterpenes, alkanoides, and essential oils were identified. Several studies revealed that this plant has a hypoglycemic effect and can help to control blood sugar. It was reported that plants containing flavonoids and phenolics compounds exhibit a large array of biological activities like genotoxicity (chromosomal aberrations and sister chromatid exchange) and oxidative stress damage. These phytochemicals are found in herbal and vegetables plants, as well as being reliably protective against oxidative stress damage and lipid peroxidation. In addition, T. polium has secondary effects on different organs, namely liver, kidney and at high doses this plant becomes toxic. In conclusion, this review investigates many pharmacologicals properties and side effects of T. polium.
Practical implementation of remote continuous glucose monitoring in hospitalized patients with diabetes

Abstract Purpose Inpatient diabetes management involves frequent assessment of glucose levels for treatment decisions. Here we describe a program for inpatient real-time continuous glucose monitoring (rtCGM) at a community hospital and the accuracy of rtCGM-based glucose estimates. Methods Adult inpatients with preexisting diabetes managed with intensive insulin therapy and a diagnosis of coronavirus disease 2019 (COVID-19) were monitored via rtCGM for safety. An rtCGM system transmitted glucose concentration and trending information at 5-minute intervals to nearby smartphones, which relayed the data to a centralized monitoring station. Hypoglycemia alerts were triggered by rtCGM values of ≤85 mg/dL, but rtCGM data were otherwise not used in management decisions; insulin dosing adjustments were based on blood glucose values measured via fingerstick blood sampling. Accuracy was evaluated retrospectively by comparing rtCGM values to contemporaneous point-of-care (POC) blood glucose values. Results A total of 238 pairs of rtCGM and POC data points from 10 patients showed an overall mean absolute relative difference (MARD) of 10.3%. Clarke error grid analysis showed 99.2% of points in the clinically acceptable range, and surveillance error grid analysis showed 89.1% of points in the lowest risk category. It was determined that for 25% of the rtCGM values, discordances in rtCGM and POC values would likely have resulted in different insulin doses. Insulin dose recommendations based on rtCGM values differed by 1 to 3 units from POC-based recommendations. Conclusion rtCGM for inpatient diabetes monitoring is feasible. Evaluation of individual rtCGM-POC paired values suggested that using rtCGM data for management decisions poses minimal risks to patients. Further studies to establish the safety and cost implications of using rtCGM data for inpatient diabetes management decisions are warranted.
Mental health symptoms during the first months of the COVID-19 outbreak in Norway: A cross-sectional survey study

Background: The COVID-19 pandemic has led to major social and economic changes that could impact public mental health. The main aim of the current study was to investigate mental health in Norway during the COVID-19 outbreak (since the first confirmed case on 26 February 2020). Methods: The results are from the first wave of the data collection (1 April–2 June 2020), which took place during the outbreak along with its initial restrictions. A total of 19,372 (11,883 students) people participated in a cross-sectional web-based survey. Results: A total of 21.8% scored above the cut-off for depression and 23.7% for anxiety. Severity of symptoms was associated with the accumulation of risk factors, such as possible/confirmed infection for oneself or one’s family, female/other sex, students, having mental health problems, increased use of tobacco, increased use of alcohol, less exercise, losing one’s job, suffering economic impact and lower education. Conclusions: COVID-19 could have a negative association with public mental health, especially for certain risk groups. Future data-collection waves will provide further insight into the development of symptoms following the pandemic.
Shaking table model test on Shanghai World Financial Center Tower

The height of 101‐storey Shanghai World Financial Center Tower is 492m above ground making it possible the tallest building in the world when completed. Three parallel structural systems including mega‐frame structure, reinforced concrete and braced steel services core and outrigger trusses, are combined to resist vertical and lateral loads. The building could be classified as a vertically irregular structure due to a number of stiffened and transfer stories in the building. Complexities related to structural system layout are mainly exhibited in the design of services core, mega‐diagonals and outrigger trusses. According to Chinese Code, the height 190 m of the building clearly exceeds the stipulated maximum height of for a composite frame/reinforced concrete core building. The aspect ratio of height to width also exceeds the stipulated limit of 7 for seismic design intensity 7. A 1/50 scaled model is made and tested on shaking table under a series of one and two‐dimensional base excitations with gradually increasing acceleration amplitudes. This paper presents the dynamic characteristics, the seismic responses and the failure mechanism of the structure. The test results demonstrate that the structural system is a good solution to withstand earthquakes. The inter‐storey drift and the overall behaviour meet the requirements of Chinese Design Code. Furthermore, weak positions under seldom‐occurred earthquakes of seismic design intensity 8 are found based on the visible damages on the testing model, and some corresponding suggestions are proposed for the engineering design of the structure under extremely strong earthquake. Copyright © 2006 John Wiley & Sons, Ltd.
A Globally Stable LPNN Model for Sparse Approximation

The objective of compressive sampling is to determine a sparse vector from an observation vector. This brief describes an analog neural method to achieve the objective. Unlike previous analog neural models which either resort to the <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-norm approximation or are with local convergence only, the proposed method avoids any approximation of the <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-norm term and is probably capable of leading to the optimum solution. Moreover, its computational complexity is lower than that of the other three comparison analog models. Simulation results show that the error performance of the proposed model is comparable to several state-of-the-art digital algorithms and analog models and that its convergence is faster than that of the comparison analog neural models.
Damping power system oscillations by unidirectional control of alternative power generation plants

The paper shows the potential that alternative power generation plants have to damp oscillations in large electrical power systems. Electrochemical fuel cell, gas turbine, wind turbine, solar, photovoltaic, etc. power plants can provide local damping when they inject power in proportion to the frequency deviation from the standard reference. The damping is introduced through the power electronic converters that most alternative power plants use to interface with the power system. Another important contribution of the paper is the use of a unidirectional damping strategy with only absorption (or injection) of power. As a feasibility study, the goal of the paper is to evaluate the necessary size (as a fraction of the overall power) that the alternative power generation plants (APGP) must have to damp out system oscillations in a few seconds. Examples on power systems of two, six and thirty-nine nodes are presented for illustration.
Decomposing MRI phenotypic heterogeneity in epilepsy: a step towards personalized classification.

In drug-resistant temporal lobe epilepsy (TLE), precise predictions of drug response, surgical outcome, and cognitive dysfunction at an individual level remain challenging. A possible explanation may lie in the dominant "one-size-fits-all" group-level analytical approaches that does not allow parsing inter-individual variations along the disease spectrum. Conversely, analyzing inter-patient heterogeneity is increasingly recognized as a step towards person-centered care. Here, we utilized unsupervised machine learning to estimate latent relations (or disease factors) from 3 T multimodal MRI features (cortical thickness, hippocampal volume, FLAIR, T1/FLAIR, diffusion parameters) representing whole-brain patterns of structural pathology in 82 TLE patients. We assessed the specificity of our approach against age- and sex-matched healthy individuals and a cohort of frontal lobe epilepsy patients with histologically-verified focal cortical dysplasia. We identified four latent disease factors variably co-expressed within each patient and characterized by ipsilateral hippocampal microstructural alterations, loss of myelin and atrophy (Factor-1), bilateral paralimbic and hippocampal gliosis (Factor-2), bilateral neocortical atrophy (Factor-3), bilateral white matter microstructural alterations (Factor-4). Bootstrap analysis and parameter variations supported high stability and robustness of these factors. Moreover, they were not expressed in healthy controls and only negligibly in disease controls, supporting specificity. Supervised classifiers trained on latent disease factors could predict patient-specific drug-response in 76 ± 3% and postsurgical seizure outcome in 88 ± 2%, outperforming classifiers that did not operate on latent factor information. Latent factor models predicted inter-patient variability in cognitive dysfunction (verbal IQ: r = 0.40 ± 0.03; memory: r = 0.35 ± 0.03; sequential motor tapping: r = 0.36 ± 0.04), again outperforming baseline learners. Data-driven analysis of disease factors provides a novel appraisal of the continuum of interindividual variability, which is likely determined by multiple interacting pathological processes. Incorporating interindividual variability is likely to improve clinical prognostics.