Miracle-dz/UniFAR-FTUs huggingface dataset:
A Dual-Output Single-Stage Regulating Rectifier With PWM and Dual-Mode PFM Control for Wireless Powering of Biomedical Implants

This paper presents a reconfigurable, dual-output, regulating rectifier featuring pulse width modulation (PWM) and dual-mode pulse frequency modulation (PFM) control schemes for single-stage ac-to-dc conversion to provide two independently regulated supply voltages (each in 1.5–3 V) from an input ac voltage. The dual-mode PFM controllers feature event-driven regulation as well as frequency division. The former incorporates stable, fast, digital feedback loops to adaptively adjust the driving frequency of four power transistors, <italic>M</italic><sub><italic>P</italic>1∼4</sub>, based on the desired output power level to perform voltage regulation and deliver fast, transient, load currents. The latter sets the driving frequency of <italic>M</italic><sub><italic>P</italic>1∼4</sub> to a user-defined fraction (1/1 ∼ 1/32) of the input frequency (1–10 MHz). The PWM controllers incorporate stable, analog, feedback loops to accurately adjust the conduction duration of <italic>M</italic><sub><italic>P</italic>1∼4</sub> for voltage regulation and can be combined with PFM frequency division for an extended operation dynamic range. Fabricated in 0.18 μm 1P/6M CMOS, the regulating rectifier features power conversion efficiency (PCE) of >83.8% at 2 and 5 MHz, with the first output channel delivering ∼1 mW from <italic>V<sub>DD</sub></italic> of 1.5 V and the second output channel delivering variable power from <italic>V<sub>DDH</sub></italic> of 2.5 V to a load in the range of 0.1 to 1 kΩ. Peak PCE values of 90.75% (2 MHz, 100 Ω) and 90.7% (5 MHz, 200 Ω) are also measured. The regulating rectifier is suitable for the emerging modality of capacitive wireless power transfer to biomedical implants.
Design Implementation and Evaluation of a Mobile Continuous Blood Oxygen Saturation Monitoring System

Objective: In this study, we built a mobile continuous Blood Oxygen Saturation (SpO2) monitor, and for the first time, explored key design principles towards daily applications. Methods: We firstly built a customized wearable computer that can sense two-channel photoplethysmogram (PPG) signals, and transmit the signals wirelessly to smartphone. Afterwards, we explored many SpO2 model building principles, focusing on linear/nonlinear models, different PPG parameter calculation methods, and different finger types. Moreover, we further compared PPG sensor placement principles by comparing different hand configurations and different finger configurations. Finally, a dataset collected from eleven human subjects was used to evaluate the mobile health monitor and explore all of the above design principles. Results: The experimental results show that the root mean square error of the SpO2 estimation is only 1.8, indicating the effectiveness of the system. Conclusion: These results indicate the effectiveness of the customized mobile SpO2 monitor and the selected design principles. Significance: This research is expected to facilitate the continuous SpO2 monitoring of patients with clinical indications.
The Benefit of Perineural Injection Treatment with Dextrose for Treatment of Chondromalacia Patella in Participants Receiving Home Physical Therapy: A Pilot Randomized Clinical Trial.

Introduction: Chondromalacia patella is the degeneration of articular cartilage on the posterior facet of the patella and may indicate the onset of osteoarthritis. Conservative management is the main treatment option, and surgical intervention is considered the last option in a small percentage of patients. Perineural Injection Treatment (PIT) is a recently developed treatment option that is directed adjacent to the peripheral nerves that are the source of pathology causing neurogenic inflammation and pain. Objective: The objective of this study was to evaluate the efficacy of PIT combined with a home physical therapy program in patients with a diagnosis of chondromalacia patella compared with a control group receiving physical therapy only. Methods: Two patient groups were involved in this randomized clinical trial. The first received PIT combined with physical therapy (PIT + PT group) and the second was managed with physical therapy alone (PT group). Both groups were indicated to follow a 6-week home therapy plan afterward. The Western Ontario and McMaster Osteoarthritis Index was used to assess the patients at baseline and 6 months after therapy interventions. Results: Fifty patients (38 women and 12 men, median age 54.7 ± 14.8 years) were included; sex distribution and age did not differ between groups. Both groups had chondromalacia grade II or III, but the degree of gonarthrosis did not differ significantly between groups. The PIT + PT group outperformed PT group for pain (7.3 ± 3.5 vs. 3.2 ± 2.9 points; p < 0.010), stiffness (3 ± 1.69 vs. 1.6 ± 1.5 points; p < 0.010), and functional capacity (23.2 ± 10.7 vs. 11.1 ± 8.9 points; p < 0.010). Conclusions: Compared with physical therapy alone, PIT plus physical therapy reduced pain and stiffness and restored functional capacity. ClinicalTrials.gov Register Number #NCT03515720.
A bibliometric analysis of the 100 most influential papers on peritoneal dialysis

Abstract Background: We aimed to identify the 100 most cited articles published on peritoneal dialysis (PD) and analyze their characteristics to provide information on the achievements and developments of PD research over the past decades. Methods: The Science Citation Index Expanded (SCIE) in the Web of Science Core Collection was comprehensively searched from 2000 to 2018, using the keywords “Peritoneal dialysis” or “Dialyses, Peritoneal” or “Dialysis, Peritoneal” or “Peritoneal Dialyses”. The top 100 cited articles were retrieved by reading titles and abstracts. Significant information was further elicited, including the authors, journals, countries, institutions, and publication year. Results: The United States was the most productive country (n = 51), Li Pkt published the highest number of papers (n = 7), the Journal of the American Society of Nephrology produced the highest number of contributions (n = 28), and Baxter International Inc., the University of California System, and the University of Toronto were the institutions with the highest number of articles (n = 10). Conclusions: This is the first bibliometric study to identify the most influential papers in PD research. This report describes the major changes and advances in research regarding PD as a guide for writing a citable article.
Biallelic ZNF335 mutations cause basal ganglia abnormality with progressive cerebral/cerebellar atrophy

Abstract To date, less than 10 pedigrees have been reported with ZNF335 mutations since it was discovered in 2012 and little is known about ZNF335-related clinical spectrum. We describe a 12 years old male patient who is only child of nonconsanguineous Turkish parents. Trio whole genome sequencing identified previously unreported compound heterozygous variants in ZNF335, namely, c.3889T > A p.(Ser1297Thr) and c.758G > A p.(Arg253Gln) where transmitted by his father and mother, respectively. Patient’ magnetic resonance imaging findings were overlapping to those observed in the previous cases with ZNF335 mutations. Here we report the oldest patient with biallelic ZNF335 mutations. We recommend screening for ZNF335 defects in patients with basal ganglia anomaly, secondary white matter abnormalities and microcephaly.
Treating disorders across the lifespan by modulating cholinergic signaling with galantamine

Advances in understanding the regulatory functions of the nervous system have revealed neural cholinergic signaling as a key regulator of cytokine responses and inflammation. Cholinergic drugs, including the centrally acting acetylcholinesterase inhibitor, galantamine, which are in clinical use for the treatment of Alzheimer's disease and other neurodegenerative and neuropsychiatric disorders, have been rediscovered as anti‐inflammatory agents. Here, we provide a timely update on this active research and clinical developments. We summarize the involvement of cholinergic mechanisms and inflammation in the pathobiology of Alzheimer's disease, Parkinson's disease, and schizophrenia, and the effectiveness of galantamine treatment. We also highlight recent findings demonstrating the effects of galantamine in preclinical and clinical settings of numerous conditions and diseases across the lifespan that are characterized by immunological, neurological, and metabolic dysfunction.
Injury incidence, severity and profile in Olympic combat sports: a comparative analysis of 7712 athlete exposures from three consecutive Olympic Games

Objectives To describe and compare the epidemiology of competition injuries in unarmed combat sports (ie, boxing, judo, taekwondo and wrestling) in three consecutive Olympic Games. Methods Prospective cohort study using injury data from the IOC injury surveillance system and exposure data from official tournament records at three consecutive Olympic Games (ie, Beijing 2008, London 2012 and Rio de Janeiro 2016). Competition injury incidence rates per 1000 min of exposure (IIRME) were calculated with 95% CIs using standard formulae for Poisson rates. Results The overall IIRME was 7.8 (95% CI 7.0 to 8.7). The IIRME in judo (9.6 (95% CI 7.8 to 11.7)), boxing (9.2 (95% CI 7.6 to 10.9)) and taekwondo (7.7 (95% CI 5.6 to 10.5)) were significantly higher than in wrestling (4.8 (95% CI 3.6 to 6.2)). The proportion of injuries resulting in >7 days absence from competition or training was higher in wrestling (39.6%), judo (35.9%) and taekwondo (32.5%) than in boxing (21.0%). There was no difference in injury risk by sex, weight category or tournament round, but athletes that lost had significantly higher IIRME compared with their winning opponents (rate ratio 3.59 (95% CI 2.68 to 4.79)). Conclusion Olympic combat sport athletes sustained, on average, one injury every 2.1 hours of competition. The risk of injury was significantly higher in boxing, judo and taekwondo than in wrestling. About 30% of injuries sustained during competition resulted in >7 days absence from competition or training. There is a need for identifying modifiable risk factors for injury in Olympic combat sports, which in turn can be targeted by injury prevention initiatives to reduce the burden of injury among combat sport athletes.
Knowledge of obstructive sleep apnoea in final year medical students and junior doctors‐a multi‐centre cross‐sectional study

Sleep medicine is an under‐recognised medical specialty in Pakistan and obstructive sleep apnoea (OSA) often goes unnoticed. Final year medical students and junior doctors are the primary medical contact to elicit patient history and physical examination. We aimed to measure the current knowledge of OSA amongst the final year medical students and junior doctors at four university teaching hospitals across three large Pakistani cities.
Carbon Meta-Nanotubes: Synthesis, Properties and Applications

Pure and Functionalized Carbon Based NanomaterialsA New Paradigm for Environmental Chemistry and Toxicology21st Century NanoscienceEnvironmental Biotechnology Volume 4Ambipolar Materials and DevicesAdvances in Nanostructured CompositesNanostructures for Oral MedicineNanomaterials Applications for Environmental MatricesEncyclopedia of Polymer Applications, 3 Volume SetHandbook of Nanomaterials PropertiesEncyclopedia of Physical Organic Chemistry, 6 Volume SetScientific and Technical Aerospace ReportsGraphene to Polymer/Graphene NanocompositesCarbon Dioxide Capture: An Effective Way to Combat Global WarmingICASE Semiannual ReportCarbon-based Nanomaterials and HybridsMicrobial NanobiotechnologyBiophotoelectrochemistry: From Bioelectrochemistry to BiophotovoltaicsReproductive and Developmental ToxicologySolar Cells and Energy MaterialsAdvanced MaterialsRecent Advances in the Treatment of Neurodegenerative DisordersEngineered Nanoparticles and the EnvironmentBimetallic NanostructuresCarbon Meta-NanotubesFunctional and Physical Properties of Polymer NanocompositesMagnesiumBioactive PeptidesPolymer Membranes for Fuel CellsNanohybrids in Environmental & Biomedical ApplicationsGraphene and Carbon NanotubesPolysaccharide Building BlocksIndex MedicusBritannica Book of the Year 2010Conducting Polymers-Based Energy Storage MaterialsEnvironmental Applications of NanomaterialsNanosciences and NanotechnologyCatalytic Chemical Vapor DepositionComputational Modeling of Inorganic NanomaterialsNanotoxicology
Evaluation of A plasma for incompatible patients

Plasma transfusion is a critical treatment in managing bleeding patients. In an effort to make plasma immediately available in spite of the limited amount of AB plasma, providers have begun using A plasma in life‐threatening emergencies. As this practice becomes widely adopted it is important to evaluate safety. Hemolytic transfusions reactions are underreported, and hemolysis may be subclinical.
Genetic Mutations and Variants in the Susceptibility of Familial Non-Medullary Thyroid Cancer

Thyroid cancer is the most frequent endocrine malignancy with the majority of cases derived from thyroid follicular cells and caused by sporadic mutations. However, when at least two or more first degree relatives present thyroid cancer, it is classified as familial non-medullary thyroid cancer (FNMTC) that may comprise 3–9% of all thyroid cancer. In this context, 5% of FNMTC are related to hereditary syndromes such as Cowden and Werner Syndromes, displaying specific genetic predisposition factors. On the other hand, the other 95% of cases are classified as non-syndromic FNMTC. Over the last 20 years, several candidate genes emerged in different studies of families worldwide. Nevertheless, the identification of a prevalent polymorphism or germinative mutation has not progressed in FNMTC. In this work, an overview of genetic alteration related to syndromic and non-syndromic FNMTC is presented.
Predicting human tissue exposures to xenobiotics using a bottom-up physiologically-based biokinetic model.

Advancements in physiologically-based biokinetic (PBK) modelling, in vitro-to--in vivo extrapolation (IVIVE) methodologies and development of permeability-limited biokinetic models have allowed for predictions of tissue drug concentrations without utilizing in vivo animal or human data. However, there is a lack of in vivo human tissue concentrations to validate these models. Herein, we validated the performance of our previously published bottom-up rosuvastatin (RSV) PBK model with clinical data from a recently published study that made use of positron emission tomography (PET) imaging to quantify the hepatic concentrations of [11C]RSV drug-drug interaction (DDI) with cyclosporine A (CsA). Simulated RSV area under the plasma concentration-time curve (AUC0h-t) and maximum plasma concentration (Cmax) before and after DDI were within 1.5-fold of the observed data. Simulated AUC0-30min and Cmax ratios in the DDI setting matched the observed ratios closely (within 1.1-fold). To predict RSV hepatic concentrations, the model inputs were modified to account for RSV in the bile canaliculi after biliary excretion. The model recapitulated the observed hepatic concentrations before DDI and the decrease in hepatic concentrations after DDI. Simulated area under the liver concentration-time curve (AUC0-30min,liver), maximum liver concentration (Cmax,liver), AUC0-30min,liver ratio and Cmax,liver ratios were predicted within 1.5-fold of the observed data. In summary, we validated the ability of bottom-up PBK modelling to predict RSV hepatic concentrations with and without DDI with CsA. Our findings confirmed the importance to account for drug distributed within the bile canaliculi for accurate prediction of hepatic tissue drug levels when compared against in vivo liver PET scan data.
LnCeCell: a comprehensive database of predicted lncRNA-associated ceRNA networks at single-cell resolution

Abstract Within the tumour microenvironment, cells exhibit different behaviours driven by fine-tuning of gene regulation. Identification of cellular-specific gene regulatory networks will deepen the understanding of disease pathology at single-cell resolution and contribute to the development of precision medicine. Here, we describe a database, LnCeCell (http://www.bio-bigdata.net/LnCeCell/ or http://bio-bigdata.hrbmu.edu.cn/LnCeCell/), which aims to document cellular-specific long non-coding RNA (lncRNA)-associated competing endogenous RNA (ceRNA) networks for personalised characterisation of diseases based on the ‘One Cell, One World’ theory. LnCeCell is curated with cellular-specific ceRNA regulations from >94 000 cells across 25 types of cancers and provides >9000 experimentally supported lncRNA biomarkers, associated with tumour metastasis, recurrence, prognosis, circulation, drug resistance, etc. For each cell, LnCeCell illustrates a global map of ceRNA sub-cellular locations, which have been manually curated from the literature and related data sources, and portrays a functional state atlas for a single cancer cell. LnCeCell also provides several flexible tools to infer ceRNA functions based on a specific cellular background. LnCeCell serves as an important resource for investigating the gene regulatory networks within a single cell and can help researchers understand the regulatory mechanisms underlying complex microbial ecosystems and individual phenotypes.
Performance of the Eight-item Informant Interview to Differentiate Aging and Dementia within a context similar to the Swedish primary healthcare sector: a systematic review of diagnostic test accuracy studies

Abstract Objective Dementia is a common but underdiagnosed health problem. Instruments developed for initial screening exist internationally but are not available within the Swedish primary healthcare sector. This systematic review aimed to evaluate the diagnostic test accuracy of the Eight-item Informant Interview to Differentiate Aging and Dementia in identifying symptomatic dementia within a context similar to the Swedish primary healthcare sector. Design A systematic search was conducted in PubMed, CINAHL, PsycInfo, Cochrane Library and manually via reference lists up to November 2019. Eligibility criteria were the reporting of Diagnostic test accuracy outcomes for the Eight-item Informant Interview to Differentiate Aging and Dementia’s ability to identify dementia according to internationally approved criteria. The population of interest was selected within the community or primary care. QUADAS-2 was used for quality assessment, and data were analysed with a narrative approach. Results Five studies with a total of 13,345 participants were included. With sensitivity (88–100%), specificity (67–91%), positive and negative predictive values (28–63%; 96–100%) respectively, the results show that the Eight-item Informant Interview to Differentiate Aging and Dementia has good ability to identify true positives, false negatives and predict low-risk dementia. That is, the Eight-item Informant Interview to Differentiate Aging and Dementia has a greater ability to predict people who are at risk of not having dementia than to correctly identify those at risk of having dementia within the target population. Conclusion The results show that the Eight-item Informant Interview to Differentiate Aging and Dementia has the ability to identify persons with symptomatic dementia within the target population. Thus, an evaluation of its potential benefits should be considered and evaluated within the Swedish primary healthcare context. KEY POINTS Dementia is a common but underdiagnosed health problem. Instruments developed for initial screening exist but are not available within the Swedish primary healthcare sector. We found that the Eight-item Informant Interview to Differentiate Aging and Dementia (AD8), has the ability to identify individuals with symptomatic dementia within the target population. The Eight-item Informant Interview to Differentiate Aging and Dementia (AD8), has the potential to increase the possibility for timely detection of individuals with symptomatic dementia.
Development and evaluation of a mobile laboratory for collecting short-duration near-road fine and coarse ambient particle and road dust samples

ABSTRACT This study used fine and coarse PM concentrator technology in a Mobile Particle Concentrator Platform (MPCP) designed and built to allow the collection of large amounts of ambient PM, enabling time-resolved speciation analysis, which would not be feasible using conventional methods. One hour of sampling yielded sufficient sample loading for trace elemental analysis using X-Ray Fluorescence (XRF). In addition, we developed a novel Road Dust Aerosolizer (RDA) sampler in order to collect PM2.5 and PM10 surface road dust in situ. This sampler aerosolizes dust from the road surface, simulating ambient road dust resuspension, resulting in measured PM composition and size more appropriately (and less labor-intensive) than those obtained from studies using bulk road dust sieved and re-suspended in the laboratory. Overall, our modified fine and coarse particle concentrators yielded good reproducibility between co-located samples and sufficient loading for trace elemental analysis. For particle mass concentration, we observed a relative error of 3% and 4% among pairs of filters for fine and coarse concentrators, respectively; confirming that the mass collected on an unweighted quartz filter in parallel with a Teflon filter will have the same PM mass as the weighed Teflon filter. For samples with elements that are well above the LOD, relative uncertainty values were between 5% and 10% for the fine and 3% and 10% for the coarse. Our results show that the RDA system has an excellent precision for mass and elements as well. The relative error for mass is 7% for PM10 and 3% for PM2.5 within pairs and ranged from 2 to10% for elements. In conclusion, we developed a method for collecting PM10 and PM2.5 near-road air and surface road dust for short durations, which allows investigation of the composition of direct (airborne) and indirect (re-suspended road dust) non-tailpipe vehicular emissions. Implications: The methods we developed in this study allow the collection of one-hour PM10-2.5 and PM2.5–0.2 samples from near-road ambient air at several distances from the same roadway in 1 day, and collection of road dust directly from the road surface, with sufficient loading for trace elemental analysis. This will allow investigation of the composition of direct (airborne) and indirect (re-suspended road dust) vehicular emissions.
Native Mass Spectrometry-Based Screening for Optimal Sample Preparation in Single Particle Cryo-EM

Recent advances in single-particle cryogenic electron microscopy (cryo-EM) have enabled the structural determination of numerous protein assemblies at high resolution, yielding unprecedented insights into their function. However, despite its extraordinary capabilities, cryo-EM remains time-consuming and resource-intensive. It is therefore beneficial to have a means for rapidly assessing and optimizing the quality of samples prior to lengthy cryo-EM analyses. To do this, we have developed a native mass spectrometry (nMS) platform that provides rapid feedback on sample quality and highly streamlined biochemical screening. Because nMS enables accurate mass analysis of protein complexes, it is well suited to routine evaluation of the composition, integrity, and homogeneity of samples prior to their plunge-freezing on EM grids. We demonstrate the utility of our nMS-based platform for facilitating cryo-EM studies using structural characterizations of exemplar bacterial transcription complexes as well as the replication-transcription assembly from the SARS-CoV-2 virus that is responsible for the COVID-19 pandemic.