Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Subclinical Hearing Loss With Cognitive Performance.

Importance Age-related hearing loss (HL) is a common and treatable condition that has been associated with cognitive impairment. The level of hearing at which this association begins has not been studied to date. Objective To investigate whether the association between hearing and cognition is present among individuals traditionally classified as having normal hearing. Design, Setting, and Participants Cross-sectional study of 2 US epidemiologic studies (Hispanic Community Health Study [HCHS], 2008-2011, and National Health and Nutrition Examination Study [NHANES], 1999-2000, 2001-2002, and 2011-2012 cycles). The dates of analysis were November 2018 to August 2019. Multivariable generalized additive model (GAM) regression and linear regression were used to assess the association between HL (exposure) and cognition (outcome). Participants included 6451 individuals aged 50 years or older from the general Hispanic population (HCHS [n = 5190]) and the general civilian, noninstitutionalized US population (NHANES [n = 1261]). Exposures Audiometric HL (4-frequency pure-tone average). Main Outcomes and Measures Neurocognitive performance measured by the Digit Symbol Substitution Test (DSST) (score range, 0-113), Word Frequency Test (range, 0-49), Spanish-English Verbal Learning Test (SEVLT) 3 trials (range, 5-40), SEVLT recall (range, 0-15), and Six-Item Screener (range, 0-6); higher scores indicated better cognitive performance. Results Among 6451 individuals, the mean (SD) age was 59.4 (6.1) years, and 3841 (59.5%) were women. The GAM regression showed a significant inverse association between hearing and cognition across the entire spectrum of hearing after adjusting for demographics and cardiovascular disease. In separate multivariable linear regressions stratified by the classic binary definition of HL, decreased hearing was independently associated with decreased cognition in adults with normal hearing (pure-tone average ≤25 dB) across all cognitive tests in the HCHS. For example in this group, a 10-dB decrease in hearing was associated with a clinically meaningful 1.97-point (95% CI, 1.18-2.75) decrease in score on the DSST. When using a stricter HL cut point (15 dB), an association was also present in NHANES. The associations between hearing and cognition were stronger or equivalent in individuals with normal hearing than among those with HL. For example, there was a 2.28-point (95% CI, 1.56-3.00) combined cohort DSST score decrease per 10-dB decrease among individuals with normal hearing vs a 0.97-point (95% CI, 0.20-1.75) decrease among those with HL, with a significant interaction term between continuous and binary hearing. Conclusions and Relevance An independent association was observed between cognition and subclinical HL. The association between hearing and cognition may be present earlier in HL than previously understood. Studies investigating whether treating HL can prevent impaired cognition and dementia should consider a lower threshold for defining HL than the current 25-dB threshold.
Alien Domains Shaped the Modular Structure of Plant NLR Proteins

Abstract Plant innate immunity mostly relies on nucleotide-binding (NB) and leucine-rich repeat (LRR) intracellular receptors to detect pathogen-derived molecules and to induce defense responses. A multitaxa reconstruction of NB-domain associations allowed us to identify the first NB–LRR arrangement in the Chlorophyta division of the Viridiplantae. Our analysis points out that the basic NOD-like receptor (NLR) unit emerged in Chlorophytes by horizontal transfer and its diversification started from Toll/interleukin receptor–NB–LRR members. The operon-based genomic structure of Chromochloris zofingiensis NLR copies suggests a functional origin of NLR clusters. Moreover, the transmembrane signatures of NLR proteins in the unicellular alga C. zofingiensis support the hypothesis that the NLR-based immunity system of plants derives from a cell-surface surveillance system. Taken together, our findings suggest that NLRs originated in unicellular algae and may have a common origin with cell-surface LRR receptors.
On the Transport Properties of Li-TFSI Water-in-Salt Electrolytes.

Water-in-salts are a new family of electrolytes that may allow the development of aqueous Li-ion batteries. They have a structure which is reminiscent of the one of ionic liquids, and they are characterized by a large concentration of ionic species. In this work we study their transport properties and how they evolve with concentration by using molecular dynamics simulations. We first focus on the choice of the force field. By comparing the simulated viscosities and self diffusion coefficients with experimental measurements, we select a set of parameters that reproduces well the transport properties. We then use the selected force field to study in detail the variations of the self and collective diffusivities of all the species as well as the transport number of the lithium ion. We show that correlation between ions and water play an important role over the whole concentration range. In the water-in-salt regime, the anions form a percolating network which reduces the cation-anion correlations and leads to rather large values for the transport number compared to other standard electrolytes.
NB-IoT Network Planning for Smart Metering Services in Jakarta, Depok, Tangerang, and Bekasi

Narrow Band Internet of Things (NB-IoT) is one of the cellular network technologies that use small and low power frequency bands standardized by 3GGP Release 13. It is one of Low Power Wide Area (LPWA)-based connectivity technology that enables a wide range, support many connected devices, low cost, and long battery life. The LPWA technologies help network operators to address the challenge of typical IoT characteristics. Smart metering is an application that potentially uses NB-IoT technology for energy management that is predicted to be implemented massively soon. Network planning of IoT needs to be conducted in the early stage of development to maximize IoT value. This study aims to provide NB-IoT network planning in terms of coverage and capacity at an Indonesian Mobile Network Operator (MNO) in the area of JaDeTaBek (Jakarta Depok Tangerang Bekasi).
Pharmacovigilance: the responsibility of pharmaceutical companies to protect patients from drug-related harms

Objective Healthcare professionals (HCPs) have a primary role to play in the detection, assessment and spontaneous reporting of adverse drug reactions (ADRs). An improvement of their related knowledge, attitude and practice concerning pharmacovigilance and ADR reporting is vital. The objective of the study was to determine whether or not pharmacovigilance training, provided by a Pharmaceutical Company, would improve HCP’s perceptions and adherence to pharmacovigilance and ADR reporting. Method A quasi-experimental research design was used. A total of 44 HCPs participated in the study. Participants were divided into two groups: an experimental group that received pharmaceutical training intervention; and a control group that did not receive any training. Using a self-administered questionnaire before and after the training intervention assessed the knowledge, attitudes, and practice of pharmacovigilance and ADR reporting displayed amongst the HCPs. Results A significant improvement in HCP knowledge, attitudes and practice towards pharmacovigilance was observed in the experimental group after the training intervention provided by the Pharmaceutical Company. Conclusion Pharmaceutical Companies have a vital role to play in enhancing a culture of responsible and consistent ADR reporting and pharmacovigilance adherence amongst HCPs, and can fulfil this role by providing continuous pharmacovigilance training and education to HCPs. Such a system will lead to
Undewater Acoustic Wave Gauge Measurements of Sea Wave Parameters: Test Experiment and Modeling

The underwater acoustic wave gauge "Kalmar" (Ka-band) for the sea wave parameters measurements was developed in the IAP RAS. Since December of 2017 a number of test experiments were conducted. Since spring of 2019 the wave gauge was installed on the "Gelendzhik" site of the Southern Branch of the P.P. Shirshov Institute of Oceanology in the Black sea. The wave gauge measures Doppler spectra and significant wave heights, the data will be available through web-interface. This paper presents the results of the test measurements that were conducted on the "Gelendzhik" site. The modeled Doppler spectrum and a measured one are in agreement with each other. The variance of the vertical component of the orbital velocity was retrieved from the Doppler wave gauge measurements and compared with the string wave gauge measurements. The results are in good agreement.
Does age influence the quality of life in children with atopic dermatitis?

Background Atopic dermatitis (AD) is one of the most common childhood skin diseases that can affect the quality of life (QoL) of children. The QoL of Montenegrin children with AD has not been sufficiently explored. The aim of this study was to assess their QoL with special emphasize on age differences. Methods This cross-sectional study included children with AD seen at the Clinic of Dermatology and Venereology, Clinical Center of Montenegro (CCM) in Podgorica between August 2017 and July 2018. The QoL was assessed with the Infants’ Dermatitis Quality of Life Index (IDQOL) and the Children’s Dermatology Life Quality Index (CDLQI). Disease severity was measured by the Three Item Severity (TIS) score. Results A total of 386 children with AD aged from newborn to 16 years took part in this study. The mean total score of the QoL was 14.7 in infants (0–4 years old), 19.4 in younger children (5–9 years old), and 16.6 in older children (10–16 years old). Age was in negative correlation with the CDLQI score, leisure domain of the CDLQI and CDLQI sleep, and in positive correlation with the IDQOL child mood. TIS score was in positive correlation with both the IDQOL and CDLQI score. Conclusions The QoL measured by CDLQI was more impaired in younger children, whilst IDQOL child mood was more impaired in older infants. The most impaired QoL was seen in children in the age group 5–9 years. Regardless of disease severity, treatment and counseling of children suffering from AD should be tailored specifically to their age.
Time-dependent regulation of postprandial muscle protein synthesis rates after milk protein ingestion in young men.

The anabolic action of 'fast' whey protein on the regulation of postprandial muscle protein synthesis has been established to be short-lived in healthy young adults. We assessed the time course of anabolic signaling activation and stimulation of myofibrillar protein synthesis rates (MPS) after ingestion of a food source that represents a more typical meal-induced pattern of aminoacidemia. Seven young men (age: 22±1 y) underwent repeated blood and biopsy sampling during primed continuous L-[ring-2H5]phenylalanine and L-[1-13C]leucine tracer infusions, and ingested 38 g of L-[1-13C]phenylalanine- and L-[1-13C]leucine-labeled milk protein concentrate. A total of ~27±4% (~10 g) and ~31±1% (~12 g) of dietary protein-derived amino acids were released in circulation between 0-120 min and 120-300 min of the postprandial period, respectively. L-[ring-2H5]phenylalanine-based MPS increased above basal (0.025±0.008%×h-1)by ~75% (0.043±0.009 %×h-1; P=0.05) between 0-120 min and by ~86% (0.046±0.004 %×h-1; P=0.02) between 120-300 min, respectively. L-[1-13C]leucine-based MPS increased above basal (0.027±0.002%×h-1) by ~72% (0.051±0.016 %×h-1; P=0.10) between 0-120 min and by ~62% (0.047±0.004 %×h-1; P=0.001) between 120-300 min, respectively. Myofibrillar protein-bound L-[1-13C]phenylalanine increased over time (P<0.001) and equaled 0.004±0.001, 0.008±0.002, 0.017±0.004, and 0.020±0.003 mole percent excess at 60, 120, 180, and 300 min of the postprandial period, respectively. Milk protein ingestion increased mTORC1 phosphorylation at 120, 180, and 300 min of the postprandial period (all P<0.05). Our results show that ingestion of 38 g of milk protein results in sustained increases in MPS throughout a 5 h postprandial period in healthy young men.
A Novel Deep Feature Fusion Network For Remote Sensing Scene Classification

In this paper, we analyze the performance of a novel deep feature fusion network when applied to the problem of remote sensing scene classification. So far, many classical convolutional neural network models have shown remarkable performance in image classification. With the availability of the latest high resolution remote sensing image data, traditions CNN models‘ performance has been considerably reduced. In order to tackle this condition, the deep convolutional neural networks are used in recent studies. Their classification accuracy depends on the depth of the network, while a deeper network will bring about higher computational complexity. In this work, we employ a deep feature fusion model for remote sensing scene classification, which uses the features extracted from Deep ResNet50 and VGG16 which are pre-trained and fine-tuned. The analysis of the experimental data prove the feasibility of the feature fusion network in remote sensing scene classification.
Effect of Levetiracetam on Time to High‐Dose Methotrexate Clearance in Patients With Hematologic Malignancies

High‐dose methotrexate (HDMTX) is a commonly used treatment for hematologic malignancies involving the central nervous system. Two case reports described possible delayed methotrexate clearance in patients receiving concurrent levetiracetam, while a retrospective cohort study did not find this association. The objective of this single‐center, retrospective case‐control study of 121 patients who received their first cycle of HDMTX was to investigate the association between HDMTX clearance time and concomitant levetiracetam use. The most common diagnosis was primary central nervous system lymphoma (47.9%). The mean HDMTX dose was 4601 mg/m2 (standard deviation [SD], 2052.6 mg/m2). Concurrent levetiracetam was administered in 30 of 121 patients (24.8%), with a mean total daily levetiracetam dose of 1434.4 mg (SD, 622.9 mg; range, 900‐3000 mg). Baseline characteristics were similar between patients who received concomitant levetiracetam and those who did not. The mean time to methotrexate clearance was 82.5 hours (SD, 51.2; 95% confidence interval, 69.4‐95.7) in the concomitant levetiracetam group and 72.4 hours (SD, 31.2; 95% confidence interval, 61.7‐83.0) in the nonlevetiracetam group, which was not significantly different (P > .05), even in the subgroup receiving methotrexate doses >3500 mg/m2. Grade 3 or higher toxicity occurred in 33.3% of the concomitant levetiracetam group and in 34.1% of nonconcomitant levetiracetam patients. This study, which, to our knowledge, is the first examining levetiracetam effect on only the first dose of HDMTX, supports the larger retrospective study finding no significant effect of levetiracetam on HDMTX clearance time, and suggests that administering concomitant levetiracetam does not affect HDMTX toxicity.
Computationally efficient joint species distribution modeling of big spatial data

Abstract The ongoing global change and the increased interest in macroecological processes call for the analysis of spatially extensive data on species communities to understand and forecast distributional changes of biodiversity. Recently developed joint species distribution models can deal with numerous species efficiently, while explicitly accounting for spatial structure in the data. However, their applicability is generally limited to relatively small spatial data sets because of their severe computational scaling as the number of spatial locations increases. In this work, we propose a practical alleviation of this scalability constraint for joint species modeling by exploiting two spatial‐statistics techniques that facilitate the analysis of large spatial data sets: Gaussian predictive process and nearest‐neighbor Gaussian process. We devised an efficient Gibbs posterior sampling algorithm for Bayesian model fitting that allows us to analyze community data sets consisting of hundreds of species sampled from up to hundreds of thousands of spatial units. The performance of these methods is demonstrated using an extensive plant data set of 30,955 spatial units as a case study. We provide an implementation of the presented methods as an extension to the hierarchical modeling of species communities framework.
A Contemporary Look at the Evaluation and Treatment of Adult Borderline and Frank Hip Dysplasia

Background: Adult hip dysplasia is often diagnosed according to the lateral center-edge angle (LCEA). Patients with frank hip dysplasia (LCEA <20°) traditionally require treatment with bony realignment through a periacetabular osteotomy (PAO) and/or derotational femoral osteotomy, while patients with borderline hip dysplasia (BHD) present a challenging treatment dilemma, as it remains unknown when they should be treated with hip arthroscopy and/or a PAO. Purpose: To perform a narrative review to report the differences in hip morphology and clinical outcomes between adult patients with frank hip dysplasia and BHD. Study Design: Narrative review. Methods: A systematic search of the literature was conducted through the Medline, EMBASE, and Cochrane databases with the search phrase borderline hip dysplasia. Results: The search identified 305 articles, of which 48 were considered relevant to this study after screening of titles and abstracts. Four articles discussed new radiographic means of evaluating adult hip dysplasia, 16 articles analyzed morphology of dysplastic hips, and 28 articles described the clinical outcomes of patients with frank hip dysplasia or BHD treated with hip arthroscopy and/or PAO. Because the level of evidence obtained from this search was not adequate for systematic review or meta-analysis, a current concepts review on the diagnosis, hip morphology, and clinical outcomes of patients with frank hip dysplasia or BHD is presented. Conclusion: Adult hip dysplasia is most commonly diagnosed based on the LCEA; however, the LCEA is an unreliable sole marker for dysplasia, and additional radiographic parameters should be utilized. Furthermore, specific pathology identified on imaging and/or during hip arthroscopy can provide clues to a surgeon when the diagnosis is inconclusive according to history and physical examination alone. While the data support that patients with frank dysplasia are best treated with PAO, there is no such preferred treatment for patients with BHD, who have a wide spectrum of instability. Selective use of arthroscopic labral and capsular treatment alone may provide good results in carefully chosen patients with BHD, while some may end up requiring a bony realignment procedure.
Shallow Water Bathymetry Derived by Machine Learning and Multitemporal Satellite Images

Shallow water bathymetry is essential information for coastal science and nautical navigation. In this study, a satellite derived bathymetry (SDB) map, considered suitable for shallow water, was created using random forests (RF) and multi-temporal satellite images from Google Earth Engine. RF performance was assessed with a training dataset varying in size. The root mean square error (RMSE) of the SDB map created by the RF model decreased with an increase in training dataset size. Tide-level correction methods are proposed and satellite-image based correction methods improved accuracy significantly. For our Hateruma case study, the average RMSE for the SDB map created using 25 satellite images was 1.79 m.
Faut-il opérer toutes les hernies de l'aine asymptomatiques?

Les hernies femorales presentent un risque eleve d'etranglement qui doit faire retenir l'indication operatoire des qu'elles ont ete diagnostiquees. Les hernies inguinales presentent un risque d'etranglement faible qui constitue un argument pour l'intervention uniquement chez les patients ne pouvant avoir acces rapidement a un centre chirurgical. Dans les autres cas, la temporisation dans le traitement de la hernie ne semble avoir que peu d'interet dans la mesure ou les patients sont finalement operes, et que durant la periode d'attente leur etat de sante est globalement ressenti comme moins bon que celui des operes. En dehors des patients presentant des comorbidites graves ou ayant une esperance de vie courte, les hernies inguinales asymptomatiques doivent etre reparees chez tous les patients qui le souhaitent. Cette decision est prise en accord avec le patient apres qu'il ait recu une information eclairee sur les risques, les sequelles et les resultats de la chirurgie. Dans le cas de hernies bilaterales dont l'une est symptomatique, il parait preferable de traiter dans le meme temps anesthesique les deux hernies. En cas de hernie synchrone a une autre intervention le traitement ne doit en etre realise qu'apres accord du patient.
Feasibility of Recommendation System Mediated by Social Internet of Vehicles

The latest manifestation of all connected world is the Internet of Things (IoT), and Internet of Vehicles (IoV) is evolved as one of the first prominent examples of IoT. Social IoV (SIoV) is a term used to represent when vehicles build and manage their own social network. While exploring these futuristic systems, in addition to physical aspects, the social aspects of connectivity and information dispersion should also be considered. In this paper, an agent-based model of information sharing (for context-based consumer recommendations) of a hypothetical population of smart vehicles is presented, in order to check the feasibility to offer recommendation system for the consumers. The simulation results show that the closure of social ties and its timing influences the dispersion of novel information considerably. It is also observed that as the network evolves as a result of incremental interactions, the recommendations guaranteeing a fair distribution of vehicles (consumer-owned cars) across equally good competitors is possible.
The many roles of tranexamic acid: An overview of the clinical indications for TXA in medical and surgical patients

Clinically significant bleeding can occur as a consequence of surgery, trauma, obstetric complications, anticoagulation, and a wide variety of disorders of hemostasis. As the causes of bleeding are diverse and not always immediately apparent, the availability of a safe, effective, and non‐specific hemostatic agent is vital in a wide range of clinical settings, with antifibrinolytic agents often utilized for this purpose. Tranexamic acid (TXA) is one of the most commonly used and widely researched antifibrinolytic agents; its role in postpartum hemorrhage, menorrhagia, trauma‐associated hemorrhage, and surgical bleeding has been well defined. However, the utility of TXA goes beyond these common indications, with accumulating data suggesting its ability to reduce bleeding and improve clinical outcomes in the face of many different hemostatic challenges, without a clear increase in thrombotic risk. Herein, we review the literature and provide practical suggestions for clinical use of TXA across a broad spectrum of bleeding disorders.