Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity of movement features to fatigue during an exhaustive treadmill run

ABSTRACT The objective of the present study was to examine the sensitivity of several movement variables during running to exhaustion adopting a cross-sectional design. Thirteen recreational runners, that systematically trained and competed, performed an exhaustive running protocol on an instrumented treadmill. Respiratory data were collected to establish the ventilatory threshold in order to obtain a reference point regarding the gradual accumulation of fatigue. A machine learning approach was adopted to analyse a set of 29,650 data points (individual steps) of kinetic and kinematic data, using a random forest classifier for the region pre and post the ventilatory threshold. The overall accuracy of the model was 0.914 (95% CI: 0.907–0.919). The four most important variables, and more sensitive in predictive ability, as it was concluded from the variable importance procedure and the partial dependence (PD), were the angular range in AP axis of upper trunk C7, the maximum loading rate, the angular range in LT axis of the C7 and the maximum value of the ground reaction force. Two-dimensional PD revealed considerable interactions for certain areas of the joint distributions between kinetic and kinematic data. These results provide a direction towards understanding the interconnections of kinetics and kinematics of the torso to maintain the coordinated running pattern under fatigue conditions. Highlights Trunk frontal plane kinematics is the most sensitive parameter to fatigue. Practitioners should consider this finding during endurance training. Kinetics exhibit a stable linear increase in mean values but a non-linear increase in variance during an exhaustive incremental treadmill run. This may affect training at a submaximal fatigued state. Specific areas in the joint distributions of kinetics and kinematics during treadmill running exhibit increased sensitivity in predicting fatigue state.
One-year change in plasma volume and mortality in the Japanese general population: An observational cohort study

Background Changes in plasma volume, a marker of plasma volume expansion and contraction, are gaining attention in the field of cardiovascular disease because of its role in the prevention and management of heart failure. However, it remains unknown whether a 1-year change in plasma volume is a risk factor for all-cause, cardiovascular, and non-cardiovascular mortality in the general population. Methods and results We used a nationwide database of 134,291 subjects (age 40–75 years) who participated in the annual “Specific Health Check and Guidance in Japan” check-up for 2 consecutive years between 2008 and 2011. A 1-year change in plasm volume was calculated using the Strauss–Davis-Rosenbaum formula. There were 220 cardiovascular deaths, 1,001 non-cardiovascular deaths including 718 cancer deaths, and 1,221 all-cause deaths during the follow-up period of 3.9 years. All subjects were divided into quintiles based on the 1-year change in plasma volume. Kaplan–Meier analysis demonstrated that the highest 5th quintile had the greatest risk among the five groups. Multivariate Cox proportional hazard regression analysis demonstrated that a 1-year change in plasma volume was an independent risk factor for all-cause, cardiovascular, non-cardiovascular, and cancer deaths. The addition of a 1-year change in plasma volume to cardiovascular risk factors significantly improved the C-statistic, net reclassification, and integrated discrimination indexes. Conclusions Here, we have demonstrated for the first time that a 1-year change in plasma volume could be an additional risk factor for all-cause, cardiovascular, and non-cardiovascular (mainly cancer) mortality in the general population.
X-ray powder diffraction and magnetic study of nominal Zn1-xNdxCr2Se4 – compounds (x = 0.05, 01)

Polycrystalline compounds in the Zn1-xNdxCr2Se4 system were prepared by solid state reaction using selenides (ZnSe, Cr2Se3) and pure elements (Nd, Se) as starting materials. The structural properties were determined by X-ray diffraction and the chemical composition confirmed by SEM-EDX. The observed symmetry is cubic, space group Fd3m, while the lattice parameter varies from 10.4955(7)Å to 10.4976(7)Å, and is larger than for the pure matrix. The solubility limit for the current synthesis route lies below x = 0.1. The magnetic moments, effective and saturation, increase with increasing amount of Nd ions. The Neel temperature TN and ΘCW drop, respectively, to 17.4K and 81K for x = 0.1, independently indicating that neodymium is incorporated into the spinel lattice and promotes antiferromagnetic coupling between the Cr3+ ions.
Outgassing Characteristics of Titanium with Surface Treatment of Oxidation

For the purpose of investigating the outgassing characteristics of titanium, outgassing measurements by the conductance-modulation method for pure titanium and titanium alloy have been made. The surfaces of the chambers were treated with oxidation at 200°C and 450°C in an argon plus oxygen atmosphere after chemical polishing or mechanochemical buffing. The lowest outgassing rate of 5 × 10-9 Pa m3 s-1 m-2 after 50 hr pumping was measured on a pure titanium chamber by oxidation treatment at 200°C. Surface analyses such as TEM were also done on test samples treated in the same conditions as the chambers. Oxidation treatment at 200°C is effective to obtain a low outgassing surface for titanium because of its thin and amorphous oxide film, which was observed by these surface analyses.
Wet- versus dry-suction techniques for EUS-FNA of solid lesions: A systematic review and meta-analysis

The optimal sampling techniques for EUS-FNA remain unclear and have not been standardized. To improve diagnostic accuracy, suction techniques for EUS-FNA have been developed and are widely used among endoscopists. The aim of this study was to compare wet-suction and dry-suction EUS-FNA techniques for sampling solid lesions. We performed a comprehensive literature search of major databases (from inception to June 2020) to identify prospective studies comparing wet-suction EUS-FNA and dry-suction EUS-FNA. Specimen adequacy, sample contamination, and histologic accuracy were assessed by pooling data using a random-effects model expressed in terms of odds ratio (OR) and 95% confidence interval (CI). Six studies including a total of 418 patients (365 wet suction vs. 377 dry suction) were included in our final analysis. The study included a total of 535 lesions (332 pancreatic lesions and 203 nonpancreatic lesions). The pooled odds of sample adequacy was 3.18 (CI: 1.82–5.54, P = 0.001) comparing wet- and dry-suction cohorts. The pooled odds of blood contamination was 1.18 (CI: 0.75–1.86, P = 0.1). The pooled rate for blood contamination was 58.33% (CI: 53.65%–62.90%) in the wet-suction cohort and 54.60% (CI 49.90%– 59.24%) in the dry-suction cohort (P = 0.256). The pooled odds of histological diagnosis was 3.68 (CI 0.82–16.42, P = 0.1). Very few adverse events were observed and did not have an impact on patient outcomes using either method. EUS-FNA using the wet-suction technique offers higher specimen quality through comparable rates of blood contamination and histological accuracy compared to dry-suction EUS-FNA.
Shuanghuanglian oral preparations combined with azithromycin for treatment of Mycoplasma pneumoniae pneumonia in Asian children: A systematic review and meta-analysis of randomized controlled trials

Background Mycoplasma pneumoniae is one of the main causes of community-acquired pneumonia. Due to the imperfect immune system of children, this also causes Mycoplasma pneumoniae pneumonia (MPP) to be more common in children. Globally, the incidence of MPP in children is gradually increasing. This study was the first to systematically review the clinical efficacy and safety of Shuanghuanglian (SHL) oral preparations combined with azithromycin in the treatment of MPP in children. Methods This study fully retrieved 3 Chinese databases and 5 English databases to search the randomized controlled trials (RCTs) of SHL oral preparations combined with azithromycin in the treatment of children with MPP. The search time is from the inception to September 2020. Data extraction and risk bias evaluation were performed independently by two researchers. We conducted a Meta-analysis of all the outcome indicators. Besides, Meta-regression, subgroup analysis, and heterogeneity analysis were used for the primary outcomes to find the possible potential confounding factors. Results Finally, we included 27 RCTs involving 2884 patients. SHL oral preparations combined with azithromycin were better than azithromycin alone in response rate (RR = 1.14, 95% CI[1.11, 1.18]; low certainty evidence), disappearance time of fever(MD = -1.72, 95% CI[-2.47, -0.97]; low certainty evidence), disappearance time of cough (MD = -2.95, 95% CI[-3.55, -2.34]; low certainty evidence), and disappearance time of pulmonary rales (MD = -2.13, 95% CI[-2.88, -1.38]; low certainty evidence). The Meta-regression results showed that the course of disease, age, and method of administration may be the source of heterogeneity. Subgroup analysis and sensitivity analysis have found that the results were stable. For other related clinical symptoms, T lymphocytes, and Serum inflammatory factors, SHL oral preparations combined with azithromycin was better than azithromycin alone, and the difference was statistically significant. For adverse events with low certainty evidence, safety needs further verification. Conclusion Based on the results of meta-analysis with low certainty evidence, we believed that SHL oral preparations combined with azithromycin likely be effectively improved clinical symptoms compared with azithromycin alone. Low certainty evidence showed that SHL may safety with no serious adverse events. Due to these limitations, the safety needs further verification. More high-quality, multicenter, and large-sample RCTs should be tested and verified in the future.
Chronic Ablation of TRPV1 Sensitive Skeletal Muscle Afferents Attenuates the Muscle Metaboreflex.

Exercise intolerance is a hallmark symptom of cardiovascular disease and likely occurs via enhanced activation of muscle metaboreflex- induced vasoconstriction of the heart and active skeletal muscle which, thereby limits cardiac output and peripheral blood flow. Muscle metaboreflex vasoconstrictor responses occur via activation of metabolite-sensitive afferent fibers located in ischemic active skeletal muscle, some of which express Transient Receptor Potential Vanilloid 1 (TRPV1) cation channels. Local cardiac and intrathecal administration of an ultra-potent noncompetitive, dominant negative agonist resiniferatoxin (RTX) can ablate these TRPV1 sensitive afferents. This technique has been used to attenuate cardiac sympathetic afferents and nociceptive pain. We investigated whether intrathecal administration (L4-L6) of RTX (2 μg/kg) could chronically attenuate subsequent muscle metaboreflex responses elicited by reductions in hindlimb blood flow during mild exercise (3.2 km/h) in chronically instrumented conscious canines. RTX significantly attenuated metaboreflex induced increases in mean arterial pressure (27 ± 5.0 mmHg vs. 6 ± 8.2 mmHg), cardiac output (1.40 ± 0.2 L/min vs. 0.28 ± 0.1 L/min) and stroke work (2.27 ± 0.2 L*mmHg vs. 1.01 ± 0.2 L*mmHg). Effects were maintained until 78 ± 14 days post RTX at which point the efficacy of RTX injection was tested by intra-arterial administration of capsaicin (20 μg/kg). A significant reduction in the mean arterial pressure response (+45.7 ± 6.5 mmHg pre RTX vs +19.7 ± 3.1mmHg post RTX) was observed. We conclude that intrathecal administration of RTX can chronically attenuate the muscle metaboreflex and could potentially alleviate enhanced sympatho-activation observed in cardiovascular disease states.
‘This is what is going to help me’: Developing a co-designed and theoretically informed harm reduction intervention for mobile youth in South Africa and Uganda

ABSTRACT Young migrants in sub-Saharan Africa are particularly vulnerable to HIV-acquisition. Despite this, they are consistently under-served by services, with low uptake and engagement. We adopted a community-based participatory research approach to conduct longitudinal qualitative research among 78 young migrants in South Africa and Uganda. Using repeat in-depth interviews and participatory workshops we sought to identify their specific support needs, and to collaboratively design an intervention appropriate for delivery in their local contexts. Applying a protection-risk conceptual framework, we developed a harm reduction intervention which aims to foster protective factors, and thereby nurture resilience, for youth ‘on the move’ within high-risk settings. Specifically, by establishing peer supporter networks, offering a ‘drop-in’ resource centre, and by identifying local adult champions to enable a supportive local environment. Creating this supportive edifice, through an accessible and cohesive peer support network underpinned by effective training, supervision and remuneration, was considered pivotal to nurture solidarity and potentially resilience. This practical example offers insights into how researchers may facilitate the co-design of acceptable, sustainable interventions.
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Background Accurate detection of bleeding events from electronic health records (EHRs) is crucial for identifying and characterizing different common and serious medical problems. To extract such information from EHRs, it is essential to identify the relations between bleeding events and related clinical entities (eg, bleeding anatomic sites and lab tests). With the advent of natural language processing (NLP) and deep learning (DL)-based techniques, many studies have focused on their applicability for various clinical applications. However, no prior work has utilized DL to extract relations between bleeding events and relevant entities. Objective In this study, we aimed to evaluate multiple DL systems on a novel EHR data set for bleeding event–related relation classification. Methods We first expert annotated a new data set of 1046 deidentified EHR notes for bleeding events and their attributes. On this data set, we evaluated three state-of-the-art DL architectures for the bleeding event relation classification task, namely, convolutional neural network (CNN), attention-guided graph convolutional network (AGGCN), and Bidirectional Encoder Representations from Transformers (BERT). We used three BERT-based models, namely, BERT pretrained on biomedical data (BioBERT), BioBERT pretrained on clinical text (Bio+Clinical BERT), and BioBERT pretrained on EHR notes (EhrBERT). Results Our experiments showed that the BERT-based models significantly outperformed the CNN and AGGCN models. Specifically, BioBERT achieved a macro F1 score of 0.842, outperforming both the AGGCN (macro F1 score, 0.828) and CNN models (macro F1 score, 0.763) by 1.4% (P<.001) and 7.9% (P<.001), respectively. Conclusions In this comprehensive study, we explored and compared different DL systems to classify relations between bleeding events and other medical concepts. On our corpus, BERT-based models outperformed other DL models for identifying the relations of bleeding-related entities. In addition to pretrained contextualized word representation, BERT-based models benefited from the use of target entity representation over traditional sequence representation
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Background Over half a million individuals are diagnosed with head and neck cancer each year globally. Radiotherapy is an important curative treatment for this disease, but it requires manual time to delineate radiosensitive organs at risk. This planning process can delay treatment while also introducing interoperator variability, resulting in downstream radiation dose differences. Although auto-segmentation algorithms offer a potentially time-saving solution, the challenges in defining, quantifying, and achieving expert performance remain. Objective Adopting a deep learning approach, we aim to demonstrate a 3D U-Net architecture that achieves expert-level performance in delineating 21 distinct head and neck organs at risk commonly segmented in clinical practice. Methods The model was trained on a data set of 663 deidentified computed tomography scans acquired in routine clinical practice and with both segmentations taken from clinical practice and segmentations created by experienced radiographers as part of this research, all in accordance with consensus organ at risk definitions. Results We demonstrated the model’s clinical applicability by assessing its performance on a test set of 21 computed tomography scans from clinical practice, each with 21 organs at risk segmented by 2 independent experts. We also introduced surface Dice similarity coefficient, a new metric for the comparison of organ delineation, to quantify the deviation between organ at risk surface contours rather than volumes, better reflecting the clinical task of correcting errors in automated organ segmentations. The model’s generalizability was then demonstrated on 2 distinct open-source data sets, reflecting different centers and countries to model training. Conclusions Deep learning is an effective and clinically applicable technique for the segmentation of the head and neck anatomy for radiotherapy. With appropriate validation studies and regulatory approvals, this system could improve the efficiency, consistency, and safety of radiotherapy pathways.
Dietary factors and SARS-CoV-2 contagion: in silico studies on modulation of viral and host proteins by spice actives

Abstract The SARS-CoV-2 contagion has had a huge impact on world population. It has been observed that despite massive spread of the contagion in India particularly during the second wave, the overall case fatality rates remain low. This prompted us to look into dietary factors that can possibly modulate the viral impact and/or host response. In silico studies were carried out on forty-two commonly used spices and their 637 known active compounds with an aim of identifying such compounds that may have propensity to reduce viral impact or boost host immune response. We chose to study SARS-Cov-2 helicase on account of its functional importance in maintaining viral load within the host, and the human tank binding protein (TBK1) for its important role in host immunity. We carried out in silico virtual screening, docking studies with 637 phytochemical against these two proteins, using in silico methods. Upon assessing the strength of the ligand-target interactions and post simulation binding energy profile, our study identifies procyanidin-B4 from bay leaf, fenugreekine from fenugreek seed and gallotannin from pomegranate seed as active interactors that docked to viral helicase. Similarly, we identified eruboside B from garlic, gallotannin from pomegranate seed, as strong interacting partners to human TBK1. Our studies thus present dietary spice constituents as potential protagonists for further experimentation to understand how spices in the diet might help the hosts in countering the viral assault and mount a robust protective response against COVID and other infections. Communicated by Ramaswamy H. Sarma
Understanding the Components and Determinants of Police Attitudes Toward Intervention in Intimate Partner Violence Against Women: A Systematic Review

Police officers are society’s first interveners in intimate partner violence against women (IPVAW) and are essential for victim safety. Despite IPVAW laws, police attitudes influence their real actions during IPVAW intervention. However, the fuzzy conceptualization of the construct deters the pursuit of conclusive evidence. This systematic review sought to identify the components of police attitudes toward intervention in IPVAW and their determinants. A search was conducted through several databases (e.g., Web of Science). Papers were included if they (a) provided original empirical findings or were review studies, (b) were published between 1990 and 2019, (c) were written in Spanish or English, (d) alluded to police officers, and (e) focused on police attitudes toward intervention in IPVAW or their determinants. Fifty-seven papers were included. The studied components of police attitudes toward intervention in IPVAW extracted from the literature were tolerance of IPVAW, minimal police involvement, unsupportive and supportive attitudes toward the legal system and legislation against IPVAW, understanding of the complex nature of abuse, and IPVAW intervention as an important police task. Moreover, the central role of individual and situational determinants in police attitudes toward intervention in IPVAW was confirmed, whereas organizational and societal determinants were studied scarcely. This review proposes a framework upon which to build operational definition of police attitudes toward intervention in IPVAW and includes remarks on police backgrounds and the situational characteristics of IPVAW events that are essential in shaping police procedures for managing them. Empirical evidence should be transferred to police training and standard operating procedures.
Plasma concentrations of persistent organic pollutants and pancreatic cancer risk

Abstract Background Findings and limitations of previous studies on persistent organic pollutants (POPs) and pancreatic cancer risk support conducting further research in prospective cohorts. Methods We conducted a prospective case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Participants were 513 pancreatic cancer cases and 1020 matched controls. Concentrations of 22 POPs were measured in plasma collected at baseline. Results Some associations were observed at higher concentrations of p, p’-DDT, trans-nonachlor, β-hexachlorocyclohexane and the sum of six organochlorine pesticides and of 16 POPs. The odds ratio (OR) for the upper quartile of trans-nonachlor was 1.55 (95% confidence interval 1.06-2.26; P for trend = 0.025). Associations were stronger in the groups predefined as most valid (participants having fasted >6 h, with microscopic diagnostic confirmation, normal weight, and never smokers), and as most relevant (follow-up ≥10 years). Among participants having fasted >6 h, the ORs were relevant for 10 of 11 exposures. Higher ORs were also observed among cases with microscopic confirmation than in cases with a clinical diagnosis, and among normal-weight participants than in the rest of participants. Among participants with a follow-up ≥10 years, estimates were higher than in participants with a shorter follow-up (for trans-nonachlor: OR = 2.14, 1.01 to 4.53, P for trend = 0.035). Overall, trans-nonachlor, three PCBs and the two sums of POPs were the exposures most clearly associated with pancreatic cancer risk. Conclusions Individually or in combination, most of the 22 POPs analysed did not or only moderately increased the risk of pancreatic cancer.