ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Association between Serum Neurofilament Light and Glial Fibrillary Acidic Protein Levels and Head Impact Burden in Women's Collegiate Water Polo

Recent investigations have identified water polo athletes as at risk for concussions and repetitive subconcussive head impacts. Head impact exposure in collegiate varsity women's water polo, however, has not yet been longitudinally quantified. We aimed to determine the relationship between cumulative and acute head impact exposure across pre-season training and changes in serum biomarkers of brain injury. Twenty-two Division I collegiate women's water polo players were included in this prospective observational study. They wore sensor-installed mouthguards during all practices and scrimmages during eight weeks of pre-season training. Serum samples were collected at six time points (at baseline, before and after scrimmages during weeks 4 and 7, and after the eight-week pre-season training period) and assayed for neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) using Simoa® Human Neurology 2-Plex B assay kits. Serum GFAP increased over time (e.g., an increase of 0.6559 pg/mL per week; p = 0.0087). Neither longitudinal nor acute pre-post scrimmage changes in GFAP, however, were associated with head impact exposure. Contrarily, an increase in serum NfL across the study period was associated with cumulative head impact magnitude (sum of peak linear acceleration: B = 0.015, SE = 0.006, p = 0.016; sum of peak rotational acceleration: B = 0.148, SE = 0.048, p = 0.006). Acute changes in serum NfL were not associated with head impacts recorded during the two selected scrimmages. Hormonal contraceptive use was associated with lower serum NfL and GFAP levels over time, and elevated salivary levels of progesterone were also associated with lower serum NfL levels. These results suggest that detecting increases in serum NfL may be a useful way to monitor cumulative head impact burden in women's contact sports and that female-specific factors, such as hormonal contraceptive use and circulating progesterone levels, may be neuroprotective, warranting further investigations.
A Nomogram for Predicting Liver Metastasis of Lymph-Node Positive Luminal B HER2 Negative Subtype Breast Cancer by Analyzing the Clinicopathological Characteristics of Patients with Breast Cancer

Background: Luminal B-like human epidermal growth factor receptor 2 negative (Luminal B [HER2-]) is the most common molecular subtype of breast cancer (BC). Since the relationship between Luminal B (HER2-) BC and liver metastasis (LM) is poorly defined, this retrospective study aimed to develop an LM risk nomogram for patients with lymph node-related (N + Luminal B [HER2-]) BC. Methods: Data were obtained for patients initially diagnosed with BC from the Tianjin Medical University Cancer Institute and Hospital. There were 30,975 Chinese female patients with stage I-III BC and follow-up confirming 1217 subsequent patients with LM, and 427 patients with N + Luminal B (HER2-). The LM risk was assessed using Cox proportional hazards regression, histogram, Venn diagram, and Kaplan-Meier survival analysis, with further analysis for patients with N + Luminal B (HER2-) BC. A nomogram was established based on the N + Luminal B (HER2-) BC data, which was validated using calibration plots. Results: The median age of 427 patients with N + Luminal B (HER2-) liver metastasis of breast cancer (BCLM) was 49 years. The largest number of patients with BCLM was diagnosed between the second to the 6th year, the longest interval from initial BC diagnosis to subsequent LM was 145 months. The patients with LM as the first site of distant metastasis which is associated with better survival were analyzed by Kaplan-Meier. The nomogram was constructed for the risk of LM that included age, menstrual status, unilateral oophorectomy, pregnancy, hepatitis B antigen, region of residence, tumor size, lymph node, clavicular lymph nodes, progesterone receptor, and lymph vessel invasion. Conclusion: We described the clinicopathological characteristics of patients with stage I-III BC, and constructed a nomogram for calculating personalized LM probabilities for patients with N + Luminal B (HER2-), which could guide future prolonged or early extensive treatment decisions.
Big Data ML-Based Fake News Detection Using Distributed Learning

Users rely heavily on social media to consume and share news, facilitating the mass dis-semination of genuine and fake stories. The proliferation of misinformation on various social media platforms has serious consequences for society. The inability to differentiate between the several forms of false news on Twitter is a major obstacle to effective detection of fake news. Researchers have made progress toward a solution by emphasizing methods for identifying fake news. The dataset FNC-1, which includes four categories for identifying false news, will be used in this study. The state-of-the-art methods for spotting fake news are evaluated and compared using big data technology (Spark) and machine learning. The methodology of this study employed a decentralized Spark cluster to create a stacked ensemble model. Following feature extraction using N-grams, Hashing TF-IDF, and count vectorizer, we used the proposed stacked ensemble classification model. The results show that the suggested model has a superior classification performance of 92.45% in the F1 score compared to the 83.10 % F1 score of the baseline approach. The proposed model achieved an additional 9.35% F1 score compared to the state-of-the-art techniques.
Health Canada's use of priority review status for drugs for unmet needs

The processes for granting priority review status to new drug submissions in Canada and the United States are not exactly the same, but reasonable concordance should be expected since the selection criteria are similar in the two countries. This study compared new therapeutic drugs approved by both Health Canada and the Food and Drug Administration (FDA) between 2000 and 2014 to evaluate concordance on priority review status. New therapeutic drugs approved in both countries totalled 301; 86 (28.6%) and 136 (45.2%) were given priority review status in Canada and the United States, respectively, with 73 (24.3%) in both. Sensitivity and specificity were 53.7% and 92.1%. Overall concordance on review type was 74.8%. κ was 0.47 indicating moderate agreement. Agreement on review type was >70% for all drugs, except oncology therapies. Broad agreement exists between Health Canada and the FDA on drugs that should not have priority review status. Concordance on drugs that should have this status was generally satisfactory and, for critical drugs, was high. Agreement would improve if more oncology drugs received priority review status in Canada. Despite a higher number of drugs receiving priority review status in the United States, there is reasonable concordance between the two countries.
The mechanisms of action of flavonoids in the brain: Direct versus indirect effects

The projected increase in the incidence of dementia in the population highlights the urgent need for a more comprehensive understanding of how different aspects of lifestyle, in particular exercise and diet, may affect neural function and consequent cognitive performance throughout the life course. In this regard, flavonoids, found in a variety of fruits, vegetables and derived beverages, have been identified as a group of promising bioactive compounds capable of influencing different aspects of brain function, including cerebrovascular blood flow and synaptic plasticity, both resulting in improvements in learning and memory in mammalian species. However, the precise mechanisms by which flavonoids exert these actions are yet to be fully established, although accumulating data indicate an ability to interact with neuronal receptors and kinase signaling pathways which are key to neuronal activation and communication and synaptic strengthening. Alternatively or concurrently, there is also compelling evidence derived from human clinical studies suggesting that flavonoids can positively affect peripheral and cerebrovascular blood flow, which may be an indirect effective mechanism by which dietary flavonoids can impact on brain health and cognition. The current review examines the beneficial effects of flavonoids on both human and animal brain function and attempts to address and link direct and indirect actions of flavonoids and their derivatives within the central nervous system (CNS).
Levels of Physical Activity and Psychological Well-Being in Non-Athletes and Martial Art Athletes during the COVID-19 Pandemic

Background: The objectives of this study were to identify which of the sociodemographic variables affected psychological well-being in two populations that differed in their sports practice at the end of the COVID-19 lockdown in Colombia. Methods: The study was conducted through an online survey using the IPAQ-S and PGWBI-S questionnaires six months after the first SARS-CoV-2 lockdown, between 8 and 22 September 2020 in Colombia. The total number of study participants was 582, subdivided into two groups: (i) non-athlete university population (NA) without constant practice in physical activity or sports training (n = 470); and (ii) martial arts athletes (n = 122) with a sports career (A), 7.4 +/- 3.4 years of experience, at different levels (advanced belts and black belts). Results: Sports practice, normal BMI levels and high levels of physical activity translated into absence of distress (ND) in the psychological well-being of populations. The variance between the factors could be explained by the general health dimension (2.4% population; 4.2% sex; 12% physical activity; 2.6% age). A moderate correlation between vitality and MET was found (r = 0.33; p < 0.001). Conclusions: The practice of a sport such as martial arts, normal body mass index and high levels of physical activity were factors that positively reduced levels of distress, translated into better psychological well-being in populations, and the general health dimension presented important contributions to psychological well-being. Intervention plans must be carried out, especially in populations that do not practice physical activity-mainly female and those under 40 years of age.
An Approach by Straight Line Segment Adaptive Techniques in Robot Navigation

The representation and mapping of unknown environments for robot navigation is a focus of research that presents great challenges, especially regarding the amount of data involved and the difficulty of dynamically performing computational structures updating. This paper innovates by applying the Adaptive Digitized Straight Line Segments (ADSLS) technique to reduce the amount of data for representing trajectories through the Adaptive Finite Automata (AFA), improving positive results of state of the art works.
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors

The most frequent extracranial solid tumors of childhood, named peripheral neuroblastic tumors (pNTs), are very challenging to diagnose due to their diversified categories and varying forms. Auxiliary diagnosis methods of such pediatric malignant cancers are highly needed to provide pathologists assistance and reduce the risk of misdiagnosis before treatments. In this paper, inspired by the particularity of microscopic pathology images, we integrate neural networks with the texture energy measure (TEM) and propose a novel network architecture named DetexNet (deep texture network). This method enforces the low-level representation pattern clearer via embedding the expert knowledge as prior, so that the network can seize the key information of a relatively small pathological dataset more smoothly. By applying and finetuning TEM filters in the bottom layer of a network, we greatly improve the performance of the baseline. We further pre-train the model on unlabeled data with an auto-encoder architecture and implement a color space conversion on input images. Two kinds of experiments under different assumptions in the condition of limited training data are performed, and in both of them, the proposed method achieves the best performance compared with other state-of-the-art models and doctor diagnosis.
Fast training of a transformer for global multi-horizon time series forecasting on tensor processing units

Time Series Forecasting (TSF) is essential to key domains, and the Transformer neural network has advanced the state-of-the-art on global, multi-horizon TSF benchmarks. The quadratic time and memory complexity of the Vanilla Transformer (VT) hinders its application to Big Data environments; therefore, multiple efficient variants of the VT that lower complexity via sparse self-attention have been proposed. However, less complex algorithms do not directly produce faster executions, and machine learning models for Big Data are typically trained on accelerators designed for dense-matrix computation that render slower performance with sparse matrices. To better compare the accuracy-speed trade-off of the VT and its variants, it is essential to test them on such accelerators. We implemented a cloud-based VT on Tensor Processing Units to address this task. Experiments on large-scale datasets show that our Transformer achieves good predictive performance when compared to state-of-the-art models while reducing training times from hours to under 2 min.
Structure and function of the parvoviral NS1 protein: a review

Parvoviruses possess a single-stranded DNA genome of about 5 kb, which contains two open reading frames (ORFs), one encoding nonstructural (NS) proteins, the other capsid proteins. The NS1 protein contains an N-terminal origin-binding domain, a helicase domain, and a C-terminal transactive domain, and is essential for effective viral replication and production of infectious virus. We first summarize the developments in the structure of NS1 protein, including the original binding domain and the helicase domain. We discuss the role of different DNA substrates in the oligomerization of these two domains of NS1. During the parvovirus life cycle, the NS1 protein is closely related to the viral gene expression, viral replication, and infection. We provide the current understanding of the impact of parvovirus NS1 protein mutations on its biological properties. Overall, in this review, we focus on the structure and function of the parvoviral NS1 protein.
Iterative query selection for opaque search engines with pseudo relevance feedback

Retrieving information from an online search engine is the first and most important step in many data mining tasks, such as fake news detection. Most of the search engines currently available on the web, including all social media platforms, are black-boxes (i.e., opaque) supporting short keyword queries. In these settings, it is challenging to retrieve all posts and comments discussing a particular news item automatically and on a large scale.In this paper, we propose a method for generating short keyword queries given a prototype document. The proposed iterative query selection (IQS) algorithm interacts with the opaque search engine to iteratively improve the query, by maximizing the number of relevant results retrieved. Our evaluation of IQS was performed on the Twitter TREC Microblog 2012 and TREC-COVID 2019 datasets and demonstrated the algorithm's superior performance compared to state-of-the-art. In addition, we implemented IQS algorithm to automatically collect a large-scale dataset for fake news detection task of about 70K true and fake news items. The dataset, which we have made publicly available to the research community, includes over 22M accounts and 61M tweets. We demonstrate the usefulness of the dataset for fake news detection task achieving state-of-the-art performance.
Associations Between Perceived Social Support, Perceived Competence, and Physical Activity in Hong Kong Children With Disabilities During the COVID-19 Pandemic

This study aimed to examine the associations between perceived social support, perceived competence, and physical activity in children with physical and intellectual disabilities during the COVID-19 pandemic. During the third wave of the pandemic in Hong Kong (i.e., July through December 2020), 291 participants age 6-17 years from 27 special schools were included. After controlling for demographic variables, the total variance explained by perceived social support and perceived competence was 24%, F(2, 240) = 12.42, p < .001, with perceived competence having a stronger association with physical activity (β = 0.29, p < .001) than perceived social support (β = 0.07, p = .22). This study highlights two key facilitators for shaping physical activity involvement among children with disabilities during the COVID-19 pandemic.
Effects of hydrochar and biogas slurry reflux on methane production by mixed anaerobic digestion of cow manure and corn straw

This study aimed to enhance methane production from mixed anaerobic digestion of cow manure and corn straw by adding hydrochar and biogas slurry reflux. The hydrochar characterization revealed that it can provide attachment for microbial growth, and abundant surface functional groups (such as C-O, CO, C-OH, and C-N) for adsorption. Direct interspecies electron transfer (DIET) mediated by surface oxygen-containing functional groups on hydrochar increased the methane yield. The experimental group added with hydrochar and biogas slurry reflux had the highest methane and biogas production (34.40% and 36.98% higher than the control group, respectively). Results demonstrate hydrochar and biogas slurry reflux can improve microorganism species richness in anaerobic digestion systems, in which hydrochar can also improve microorganism species uniformity. Distance-based redundancy analysis showed that the VFAs, and pH had the greatest effects on the composition of the microbial community. The dominant microorganism at the phylum level in AD system were Bacteroidetes, Firmicutes, and Proteobacteria. The addition of hydrochar and biogas slurry reflux can significantly increase the species abundance of Methanobacterium. These results indicate that the addition of hydrochar and biogas slurry reflux can improve the corresponding microbial abundance, in which hydrochar can enhance the redox characteristics and DIET between microorganism, biogas slurry reflux can also increase nutrient content of anaerobic digestion system, and collectively promote the methane yield.
The function of chitosan/agarose biopolymer on Fe2 O3 nanoparticles and evaluation of their effects on MCF-7 breast cancer cell line and expression of BCL2 and BAX genes

In recent decades, magnetic nanoparticles modified with biocompatible polymers have been recognized as a suitable tool for treating breast cancer. The aim of this research was to evaluate the function of chitosan/agarose-functionalized Fe2 O3 nanoparticles on the MCF-7 breast cancer cell line and the expression of BCL2 and BAX genes. Free Fe2 O3 nanoparticles were prepared by hydrothermal method. FTIR, XRD, SEM, DLS, VSM, and zeta potential analyses determined the size and morphological characteristics of the synthesized nanoparticles. The effect of Fe2 O3 free nanoparticles and formulated Fe2 O3 nanoparticles on induction of apoptosis was studied by double-dye Annexin V-FITC and PI. Also, the gene expression results using the PCR method displayed that Fe2 O3 formulated nanoparticles induced BAX apoptosis by increasing the anti-apoptotic gene expression and decreasing the expression of pro-apoptotic gene BCL2, so the cell progresses to planned cell death. In addition, the results showed that the BAX/BCL2 ratio decreased significantly after treatment of MCF-7 cells with free Fe2 O3 nanoparticles, and the BAX/BCL2 ratio for Fe2 O3 formulated nanoparticles increased significantly. Also, to evaluate cell migration, the scratch test was performed, which showed a decrease in motility of MCF-7 cancer cells treated with Fe2 O3 nanoparticles formulated with chitosan/agarose at concentrations of 10, 50, 100, and 200 μg/ml.
Clinical differences between botulinum neurotoxin type A and B

In humans, the therapeutic use of botulinum neurotoxin A (BoNT/A) is well recognized and continuously expanding. Four BoNTs are widely available for clinical practice: three are serotype A and one is serotype B: onabotulinumtoxinA (A/Ona), abobotulinumtoxinA (A/Abo) and incobotulinumtoxinA (A/Inco), rimabotulinumtoxinB (B/Rima). A/Abo, A/Inco, A/Ona and B/Rima are all licensed worldwide for cervical dystonia. In addition, the three BoNT/A products are approved for blepharospasm and focal dystonias, spasticity, hemifacial spasm, hyperhidrosis and facial lines, with remarkable regional differences. These toxin brands differ for specific activity, packaging, constituents, excipient, and storage. Comparative literature assessing the relative safety and efficacy of different BoNT products is limited, most data come from reports on small samples, and only a few studies meet criteria of evidence-based medicine. One study compared the effects of BoNT/A and BoNT/B on muscle activity of healthy volunteers, showing similar neurophysiological effects with a dose ratio of 1:100. In cervical dystonia, when comparing the effects of BoNT/A and BoNT/B, results are more variable, some studies reporting roughly similar peak effect and overall duration (at a ratio of 1:66, others reporting substantially shorter duration of BoNT/B than BoNT/A (at a ratio 1/24). Although the results of clinical studies are difficult to compare for methodological differences (dose ratio, study design, outcome measures), it is widely accepted that: BoNT/B is clinically effective using appropriate doses as BoNT/A (1:40-50), injections are generally more painful, in most of the studies on muscular conditions, efficacy is shorter, and immunogenicity higher. Since the earliest clinical trials, it has been reported that autonomic side effects are more frequent after BoNT/B injections, and this observation encouraged the use of BoNT/B for sialorrhea, hyperhidrosis and other non-motor symptoms. In these indications the efficacy of toxins A and B are comparable and dose ratio is 1:25-30.
Newly discovered Aurignacian engraved blocks from Abri Cellier: History, context and dating

The rich record of Aurignacian graphic arts from sites in the Vezere Valley of SW France holds a key place in our understanding of systems of representation in the European Early Upper Paleolithic. One of the main sites yielding representational objects is Abri Cellier, which has long been on the short-list of major art-bearing sites attributed to the European Aurignacian. Collie's 1927 excavations yielded 15 engraved and/or pierced limestone blocks that have served as a key point of reference for the study of Aurignacian art in SW France. As part of a broader re-excavation of key Aurignacian sites in the Vezere Valley, we returned to Abri Cellier in 2014, with detailed archives in hand, in the hopes of finding intact deposits that would allow a better understanding of the archaeological sequence at the site and its relationship to other Aurignacian sites in the so-called "classic zone." While disappointingly little is left of the site, the 2014 season allowed the addition of 16 new engraved, painted or pierced blocks to the 15 already known from the 1927 excavations. We present here a brief history of excavations at the site, a stratigraphic analysis, an overview of archaeological materials recovered, a series of 14C ultrafiltration dates, a brief discussion of the peculiar characteristics of Aurignacian block art in SW France, a detailed analysis of the engraved surfaces of the blocks discovered in 1927 and in 2014 and finally a comparison of the newly-revised Cellier block assemblage with those from other Aurignacian sites in the Vezere. (C) 2017 Elsevier Ltd and INQUA. All rights reserved.