Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a highly sensitive magneto-enzyme lateral flow immunoassay for dengue NS1 detection

Background Dengue infection represents a global health issue of growing importance. Dengue non-structural protein 1 (NS1) plays a central role in the early detection of the disease. The most common method for NS1 detection is testing by lateral flow immunoassays (LFIAs) with varying sensitivity. In this study, we present a highly sensitive magneto-enzyme LFIA for prompt diagnosis of dengue. Methods We have demonstrated the development of a magneto-enzyme LFIA combining super-paramagnetic nanoparticles as labels and Biotin–Streptavidin signal amplification strategy to detect dengue NS1. Factors affecting the test performance including antibody pair, super-paramagnetic nanoparticle size, nitrocellulose membrane type, amounts of detection and capture antibodies, and amounts of Streptavidin-polyHRP were optimized. Analytical sensitivity and cross-reactivity were determined. Clinical performance of the novel assay was evaluated using a panel of 120 clinical sera. Results This newly developed assay could detect NS1 of all four serotypes of dengue virus (DENV). The limit of detection (LOD) was found to be as low as 0.25 ng ml−1 for DENV-1 and DENV-3, 0.1 ng ml−1 for DENV-2, and 1.0 ng ml−1 for DENV-4. The LOD for DENV-2 was a 50-fold improvement over the best values previously reported. There was an absence of cross-reactivity with Zika NS1, Hepatitis B virus, Hepatitis C virus, and Japanese encephalitis virus. The sensitivity and specificity of the novel assay were 100% when tested on clinical samples. Conclusions We have successfully developed a magneto-enzyme LFIA, allowing rapid and highly sensitive detection of dengue NS1, which is essential for proper management of patients infected with DENV.
Synthesis and Characterization of Hybrid Glycolipids as Functional Organogelators and Hydrogelators

Carbohydrate-based low-molecular-weight gelators are useful and versatile compounds for the preparation of soft materials. Using N-acetyl-d-glucosamine as the starting material, we synthesized and characterized 15 glycolipids containing an amide with different ester functional groups. These include aliphatic derivatives with varying chain lengths and aromatic derivatives. Most of the hybrid amide-esters have molecular weights less than 500 D. These glycolipids were found to be effective gelators for several organic solvents, water, and aqueous solutions. Two efficient hydrogelators were also obtained at low concentrations. A few representative gels were characterized using optical microscopy, atomic force microscopy, and rheology to obtain information on their morphology and gel stability. Three gelators were also used to encapsulate naproxen sodium and toluidine blue. The sustained release of the drug from the gel to the aqueous phase was monitored by UV-vis spectroscopy. These gelators have structural flexibility that can be stimuli responsive. The esters can be hydrolyzed and several gels were converted to solutions under basic conditions. These rationally designed gelators could be utilized as stimuli-responsive smart materials with controlled release properties.
A Comparison of Machine versus Free-Weight Squats for the Enhancement of Lower-Body Power, Speed, and Change-of-Direction Ability during an Initial Training Phase of Recreationally-Active Women

The purpose of this study was to examine differences between a free-weight squat (FWS) and machine squat (MS) during an initial resistance training phase for augmentation of performance tests in recreationally active women. Twenty-seven women (22.7 ± 3.5 years) were block-randomized to three groups: FWS, MS, or control (CON) and completed pre- and post-testing sessions consisting of the squat one-repetition maximum (1-RM), vertical jump, pro-agility test, zig-zag change-of-direction (COD) test, and 30-meter sprint. Participants trained two sessions per week for six weeks by performing jumping, sprinting, and COD drills followed by FWS, MS, or no squats (CON). Peak jump power increased for CON (p = 0.03) and MS (p < 0.01) groups. Change in peak jump power was greater for the MS group compared with the FWS group (p = 0.05). Average jump power increased for the MS group (p < 0.01). Change in average jump power was greater for the MS group compared with the CON group (p = 0.04). Vertical jump height, pro-agility, 30-meter sprint, and zig-zag COD tests improved over time (p < 0.01), with no difference between groups (p > 0.05). Machine squat training maximized jumping power compared with FWS training and CON. Both resistance training groups and the CON group improved equally in the pro-agility, 30-meter sprint, and zig-zag COD tests. Machine squat training may provide performance-enhancing benefits of equal or superior value to those obtained with free-weight squat training in recreationally active women during an initial training mesocycle. These findings also stress the importance of task-specific training in this population of untrained women, as the control group improved in terms of performance to the same degree as both resistance training groups.
Therapeutic efficacy of zolpidem combined with cognitive-behavioral therapy on primary insomnia

Abstract Background: In this study, we intend to assess the efficacy of zolpidem combined with cognitive-behavioral therapy (CBT) for patients with primary insomnia (PI). Methods: A predefined search strategy will be used to search for associated literature from inception to the July 1, 2019: PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, Google Scholar, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure with no language limitation. In addition, we will also retrieve reference lists of included studies and relevant reviews, as well as the conference proceedings. All randomized controlled trials related to the zolpidem and CBT for PI will be included. Two authors will perform study selection, data collection, and study quality, respectively. We will also apply RevMan 5.3 software for statistical analysis. Results: This study will provide a comprehensive overview of the available evidence of the benefits and safety of zolpidem and CBT for PI. Primary outcomes are sleep quality and severity of sleep disorders. Secondary outcomes consist of sleep-onset latency, total sleep duration, sleep efficiency, and frequency and adverse events. Conclusion: The results of this study will inform clinical and policy decisions regarding the benefits and harm of zolpidem and CBT for patients with PI. PROSPERO registration number: PROSPERO CRD42019142796.
Matrix metalloproteinase 1 modulates invasive behavior of tracheal branches during entry into Drosophila flight muscles

Tubular networks like the vasculature extend branches throughout animal bodies, but how developing vessels interact with and invade tissues is not well understood. We investigated the underlying mechanisms using the developing tracheal tube network of Drosophila indirect flight muscles (IFMs) as a model. Live imaging revealed that tracheal sprouts invade IFMs directionally with growth-cone-like structures at branch tips. Ramification inside IFMs proceeds until tracheal branches fill the myotube. However, individual tracheal cells occupy largely separate territories, possibly mediated by cell-cell repulsion. Matrix metalloproteinase 1 (MMP1) is required in tracheal cells for normal invasion speed and for the dynamic organization of growth-cone-like branch tips. MMP1 remodels the CollagenIV-containing matrix around branch tips, which show differential matrix composition with low CollagenIV levels, while Laminin is present along tracheal branches. Thus, tracheal-derived MMP1 sustains branch invasion by modulating the dynamic behavior of sprouting branches as well as properties of the surrounding matrix.
HIV/AIDS knowledge among MSM in Brazil: a challenge for public policies.

INTRODUCTION High level of HIV/AIDS knowledge is required for an effective adoption of preventive strategies. OBJECTIVE To assess HIV/AIDS knowledge among men who have sex with men (MSM) in 12 Brazilian cities. METHODS Respondent-Driven Sampling method was used for recruitment. HIV/AIDS knowledge was assessed by Item Response Theory. Difficulty and discrimination parameters were estimated, and the knowledge score was categorized in three levels: high, medium, and low. Logistic regression was used for analysis. RESULTS Among 4,176 MSM, the proportion of high level of knowledge was 23.7%. The following variables were positively associated with high knowledge (p < 0.05): age 25+ years old, 12+ years of schooling, white skin color, having health insurance, having suffered discrimination due to sexual orientation, having had a syphilis test, and having received educational material in the previous 12 months. Exchanging sex for money was negatively associated. CONCLUSIONS The proportion of only 23.7% of high HIV/AIDS knowledge was low. We should note that the only potential source of knowledge acquisition associated with high level of knowledge was receiving educational materials. Our study indicates the need for expansion of public prevention policies focused on MSM and with more effective communication strategies, including the development of knowledge that involves motivation and abilities for a safer behavior.
Association Between Body Composition and Glomerular Hyperfiltration Among Chinese Adults

High body mass index (BMI) is the most common parameter to assess excess adiposity, and has been linked to glomerular hyperfiltration (GH). However, BMI may be misleading in the estimation of body fat content due to its inability to discriminate between body fat and lean mass. In recent years, the convenient biological impedance analysis has made prediction of certain diseases somewhat feasible and accessible using body composition (BC). Accordingly, we conducted a cross‐sectional study to explore the association between BC and GH among Chinese adult population. A total of 6902 adults (aged 38.6 ± 8.3 years, 70.1% males) who consecutively visited the Health Checkup Clinic were enrolled. BC including fat mass and lean body mass (LBM) was evaluated by biological impedance analysis. The upper quartile of eGFR which exceeded 117.3 mL/min/1.73 m2 was defined as GH, in comparison with the lower three quartiles (control group). As a categorical outcome, GH subjects had higher fat/LBM than the control group, which was 34.7 ± 10.9 (%) vs. 34.0 ± 10.5 (%), P = 0.01; however, the BMI in GH group was lower than in the control group, which was 24.5 ± 3.7 (%) vs. 24.9 ± 3.6 (%), P < 0.001. Fat/height and Fat/BSA were not significantly different between the two groups. Moreover, after adjusting for potential confounders, fat/LBM significantly correlated with GH (OR = 2.09, 95% CI, 1.11 to 3.93). The study revealed that fat/LBM significantly correlated with GH among Chinese adult population, which highlights that adiposity might be an important and potentially modifiable determinant of GH.
New low‐complexity segmentation scheme for the partial transmit sequence technique for reducing the high PAPR value in OFDM systems

Orthogonal frequency division multiplexing (OFDM) has been the overwhelmingly prevalent choice for high‐data‐rate systems due to its superior advantages compared with other modulation techniques. In contrast, a high peak‐to‐average‐power ratio (PAPR) is considered the fundamental obstacle in OFDM systems since it drives the system to suffer from in‐band distortion and out‐of‐band radiation. The partial transmit sequence (PTS) technique is viewed as one of several strategies that have been suggested to diminish the high PAPR trend. The PTS relies upon dividing an input data sequence into a number of subblocks. Hence, three common types of the subblock segmentation methods have been adopted—interleaving (IL‐PTS), adjacent (Ad‐PTS), and pseudorandom (PR‐PTS). In this study, a new type of subblock division scheme is proposed to improve the PAPR reduction capacity with a low computational complexity. The results indicate that the proposed scheme can enhance the PAPR reduction performance better than the IL‐PTS and Ad‐PTS schemes. Additionally, the computational complexity of the proposed scheme is lower than that of the PR‐PTS and Ad‐PTS schemes.
Operationalising the quality of life construct in studies of alcohol and drug residential rehabilitation programme clients: A systematic review.

INTRODUCTION AND AIMS Quality of life (QOL) is increasingly recognised as an important treatment indicator in the alcohol and other drug (AOD) sector, particularly in treatment modalities providing 'whole of life programmes', such as residential rehabilitation. However, it is currently unclear how studies conducted in AOD residential rehabilitation settings have operationally defined and measured QOL. This study therefore aimed to determine current practices in defining and measuring the QOL of residential rehabilitation clients. DESIGN AND METHODS A systematic review of studies examining the QOL of AOD residential rehabilitation clients was conducted. Potential studies published in English between 1990 and 2018 were identified through a search of electronic databases (e.g. PsycINFO and PubMed), search engines (Google Scholar) and article reference lists. RESULTS The search identified a total of 1267 records, of which 16 met the inclusion criteria. Less than half of the included studies provided an operational definition of QOL. QOL was generally understood to be a subjective, multidimensional, client assessment construct. Twelve different instruments were used to assess QOL, of which two enabled clients to identify QOL dimensions important to themselves. DISCUSSION AND CONCLUSIONS QOL has been inconsistently measured in studies of AOD residential rehabilitation clients. As a result, the comparability and validity of research in this field may be weakened. There is a need to develop a consensual operational definition of QOL, including a core set of domains relevant to and endorsed by residential rehabilitation clients. Appropriate tools to measure client QOL need to be identified and disseminated.
Design and Application of a Metamaterial Superstrate on a Bio-Inspired Antenna for Partial Discharge Detection through Dielectric Windows

The adaptation of dielectric windows as metamaterial superstrate over a bio-inspired Printed Monopole Antenna (PMA) was evaluated in order to improve the detection sensitivity of Ultra High Frequency (UHF) sensors designed for Partial Discharge (PD) measurement. For this purpose, rectangular and circular Split Ring Resonators (SRR) structures were designed and evaluated aiming to achieve a metamaterial superstrate that improves the characteristics of the bio-inspired PMA as the gain, bandwidth, and radiation pattern. Measurements of the PMA with metamaterial superstrate were carried out in an anechoic chamber and compared to the simulations performed. The results show that the metamaterial superstrate insertion did not impact the original operating bandwidth, covering most of the characteristic frequency range of PD activity. Moreover, this insertion resulted in a mean gain enhancement of 0.7 dBi regarding the reference PMA, resulting in an antenna with better sensitivity for PD detection (mean gain of 3.61 dBi). The PMA-metamaterial set PD detection sensitivity was evaluated through laboratory tests with a point-to-plane PD generator setup and in field with measurements from a 230 kV current transformer. The developed PMA-metamaterial set was able to detect, successfully, the activity of PD for both tests, being classified as an optimized sensor for PD detection through dielectric windows.
STAT3 Regulates the Type I IFN-Mediated Antiviral Response by Interfering with the Nuclear Entry of STAT1

Signal transducer and activator of transcription 3 (STAT3) is a multifunctional factor that regulates inflammation and immunity. Knowledge of its regulatory mechanisms is very limited. Here, we showed that enterovirus 71 (EV71) infection induced the phosphorylation of STAT3 and the expression of its downstream inflammatory regulators. Knockdown of STAT3 with siRNAs significantly restricted viral RNA and protein levels, and also reduced viral titers. With further investigation, we found that importin α family member Karyopherin-α1 (KPNA1) was employed by both STAT1 and STAT3 for their nuclear import. The phosphorylated and un-phosphorylated STAT3 competed with STAT1 for binding to the decreased KPNA1 post infection and repressed downstream ISG expression. STAT3 knockdown alleviated the repressed type I IFN-mediated antiviral response upon infection and led to decreased viral replication. Taken together, our data suggested the role of STAT3 in maintaining the balance of inflammation and antiviral responses in the central nervous system (CNS) upon infection.
Atypical Dermatophytosis in 12 North American Porcupines (Erethizon dorsatum) from the Northeastern United States 2010–2017

Twelve wild North American porcupines (Erethizon dorsatum) out of a total of 44 of this species examined in an 8-year period were diagnosed with dermatopathies while being cared for at two wildlife rehabilitation clinics. Biopsy and necropsy were performed on seven and five animals, respectively. Atypical dermatophytosis was diagnosed in all cases. Lesions consisted of diffuse severe epidermal hyperkeratosis and mild hyperplasia with mild lymphoplasmacytic dermatitis and no folliculitis. Dermatophytes were noted histologically as hyphae and spores in hair shafts, and follicular and epidermal keratin. Trichophyton sp. was grown in 5/6 animals where culture was performed, with a molecular diagnosis of Arthroderma benhamiae/Trichophyton mentagrophytes in these five cases. Metagenomic analysis of formalin-fixed paraffin-embedded tissue samples from three cases identified fungi from 17 orders in phyla Basidiomycota and Ascomycota. Alteration of therapy from ketaconazole, which was unsuccessful in four out of five early cases, to terbinafine or nitraconazole led to the resolution of disease and recovery to release in four subsequent animals. In all, six animals were euthanized or died due to dermatopathy, no cases resolved spontaneously, and six cases were resolved with therapy. The work we present demonstrates an atypical lesion and anatomical distribution due to dermatophytosis in a series of free-ranging wild porcupines and the successful development of novel techniques for extracting and sequencing nucleic acids from fungus in archival formalin-fixed paraffin-embedded animal tissue.
Knowledge and Attitudes Towards Concussion in Western Province Rugby Union Senior Club Rugby Players

Abstract Concussion is a frequently occurring injury in rugby which is not usually reported to coaches or medical staff. Recognition and treatment of concussion should be a priority; however, education surrounding concussion knowledge and attitudes of the players have been lacking. The aim of this study was to investigate the knowledge and attitudes toward concussion in Western Province Rugby Union (WPRU) Super League senior club rugby players. This study focused on gathering quantitative information from WPRU club rugby players, using the Rosenbaum Concussion Knowledge and Attitudes Survey-Student Version (RoCKAS-ST). The correlation between the Concussion Attitude Index (CAI) and Concussion Knowledge Index (CKI) was (r=0.14). The CKI average for the players was (16.72±2.96). The participants answered 67% (16.72±2.96) of the CKI questions and 62% (46.54±5.75) of the CAI questions correctly. The participants demonstrated sufficient knowledge of concussion, as well as safe attitudes toward concussion. A small number of players lacked knowledge of symptoms and attitudes toward concussion, which may have been influenced by the importance of games. Overall, the participants in this study demonstrated superior knowledge and safe attitudes compared to other studies. The current study found that the players had good knowledge and safe attitudes regarding the severity of concussion.
Medical Big Data Classification Using a Combination of Random Forest Classifier and KMeans Clustering

An efficient classification algorithm used recently in many big data applications is the Random forest classifier algorithm. Large complex data include patient record, medicine details, and staff data etc., comprises the medical big data. Such massive data is not easy to be classified and handled in an efficient manner. Because of less accuracy and there is a chance of data deletion and also data missing using traditional methods such as Linear Classifier K-Nearest Neighbor, Random Clustering K-Nearest Neighbor. Hence we adapt the Random Forest Classification using K-means clustering algorithm to overcome the complexity and accuracy issue. In this paper, at first the medical big data is partitioned into various clusters by utilizing kmeans algorithm based upon some dimension. Then each cluster is classified by utilizing random forest classifier algorithm then it generating decision tree and it is classified based upon the specified criteria. When compared to the existing systems, the experimental results indicate that the proposed algorithm increases the data accuracy.
Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach

Background Although injured employees are legally covered by workers’ compensation insurance in South Korea, some employers make agreements to prevent the injured employees from claiming their compensation. Thus, this leads to underreporting of occupational injury statistics. Illegal compensation (called gong-sang in Korean) is a critical method used to underreport or cover-up occupational injuries. However, gong-sang is not counted in the official occupational injury statistics; therefore, we cannot identify gong-sang–related issues. Objective This study aimed to analyze social media data using topic modeling to explore hidden knowledge about illegal compensation—gong-sang—for occupational injury in South Korea. Methods We collected 2210 documents from social media data by filtering the keyword, gong-sang. The study period was between January 1, 2006, and December 31, 2017. After completing natural language processing of the Korean language, a morphological analyzer, we performed topic modeling using latent Dirichlet allocation (LDA) in the Python library, Gensim. A 10-topic model was selected and run with 3000 Gibbs sampling iterations to fit the model. Results The LDA model was used to classify gong-sang–related documents into 4 categories from a total of 10 topics. Topic 1 was the greatest concern (60.5%). Workers who suffered from industrial accidents seemed to be worried about illegal compensation and legal insurance claims, wherein keywords on the choice between illegal compensation and legal insurance claims were included. In topic 2, keywords were associated with claims for industrial accident insurance benefits. Topics 3 and 4, as the second highest concern (19%), contained keywords implying the monetary compensation of gong-sang. Topics 5 to 10 included keywords on vulnerable jobs (ie, workers in the construction and defense industry, delivery riders, and foreign workers) and body parts (ie, injuries to the hands, face, teeth, lower limbs, and back) to gong-sang. Conclusions We explored hidden knowledge to identify the salient issues surrounding gong-sang using the LDA model. These topics may provide valuable information to ensure the more efficient operation of South Korea’s occupational health and safety administration and protect vulnerable workers from illegal gong-sang compensation practices.