Miracle-dz/UniFAR-FTUs huggingface dataset:
How does multi-set high-load resistance exercise impact neuromuscular function in normoxia and hypoxia?

ABSTRACT This study examined whether hypoxia during multi-set, high-load resistance exercise alters neuromuscular responses. Using a single-blinded (participants), randomised crossover design, eight resistance-trained males completed five sets of five repetitions of bench press at 80% of one repetition maximum in moderate normobaric hypoxia (inspiratory oxygen fraction = 0.145) and normoxia. Maximal isometric bench press trials were performed following the warm-up, after 10 min of altitude priming and 5 min post-session (outside, inside and outside the chamber, respectively). Force during pre-/post-session maximal voluntary isometric contractions and bar velocity during exercise sets were measured along with surface electromyographic (EMG) activity of the pectoralis major, anterior deltoid and lateral and medial triceps muscles. Two-way repeated measures ANOVA (condition×time) were used. A significant time effect (p = 0.048) was found for mean bar velocity, independent of condition (p = 0.423). During sets of the bench press exercise, surface EMG amplitude of all studied muscles remained unchanged (p > 0.187). During maximal isometric trials, there were no main effects of condition (p > 0.666) or time (p > 0.119), nor were there any significant condition×time interactions for peak or mean forces and surface EMG amplitudes (p > 0.297). Lower end-exercise blood oxygen saturation (90.9 ± 1.8 vs. 98.6 ± 0.6%; p < 0.001) and higher blood lactate concentration (5.8 ± 1.4 vs. 4.4 ± 1.6 mmol/L; p = 0.007) values occurred in hypoxia. Acute delivery of systemic normobaric hypoxia during multi-set, high-load resistance exercise increased metabolic stress. However, only subtle neuromuscular function adjustments occurred with and without hypoxic exposure either during maximal isometric bench press trials before versus after the session or during actual exercise sets. Highlights Performing multi-set, high-load bench press resistance exercise in hypoxia accentuates metabolic stress, as evidenced by lower arterial oxygen saturation and higher blood lactate concentration, compared to normoxia. Acute hypoxic exposure doesn’t alter neuromuscular responses during the execution of the sets since mean bar velocity dropped similarly in both conditions from set 2 to set 5 with no difference in peak velocity and surface EMG amplitude of the prime movers during the bench press. Only subtle adjustments in peak or mean force and accompanying surface EMG activity occur with and without hypoxic exposure during maximal isometric bench press trials after a 10-min hypoxic priming period and 5 min after the session in reference to post-warm-up.
i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites

MOTIVATION DNA N6-methyladenine (6mA) has been demonstrated to have an essential function in epigenetic modification in eukaryotic species in recent research. 6mA has been linked to various biological processes. It's critical to create a new algorithm that can rapidly and reliably detect 6mA sites in genomes to investigate their biological roles. The identification of 6mA marks in the genome is the first and most important step in understanding the underlying molecular processes, as well as their regulatory functions. RESULTS In this paper, we proposed a novel computational tool called i6mA-Caps which CapsuleNet based a framework for identifying the DNA N6-methyladenine sites. The proposed framework uses a single encoding scheme for numerical representation of the DNA sequence. The numerical data is then used by the set of convolution layers to extract low-level features. These features are then used by the capsule network to extract intermediate-level and later high-level features to classify the 6mA sites. The proposed network is evaluated on three datasets belonging to three genomes which are Rosaceae, Rice and A.thalaina. Proposed method has attained an accuracy of 96.71%, 94% and 86.83% for independent Rosaceae dataset, Rice dataset and A.thaliana dataset respectively. The proposed framework has exhibited improved results when compared with the existing top-of-the-line methods. AVAILABILITY A user-friendly web-server is made available for the biological experts which can be accessed at:http://nsclbio.jbnu. ac.kr/tools/i6mA-Caps/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Exertional heat stroke: an evidence based approach to clinical assessment and management

What is the topic of this review? The treatment of exertional heat stress, from initial field care through the return‐to‐activity decision. What advances does it highlight? Clinical assessment during field care using AVPU and vital signs to gauge recovery, approaches to field cooling and end of active cooling, and shared clinical decision making for return to activity recommendations.
On the near-wall instability of oblique flow over a wavy wall

Abstract The instability of a shear flow passing over a wavy wall with wave crests not perpendicular to the flow direction is investigated. The friction Reynolds number for the flow is large and the wave amplitude scaled on the wavelength is small compared with the viscous wall layer. The instability takes the form of a streamwise vortex of wavelength comparable to the viscous wall layer in which the basic flow adjusts to the presence of the wall. For a given wall amplitude, the instability considered is the first one to arise as the Reynolds number is increased and modes of wavelength comparable to the viscous layer grow much faster than modes of wavelength comparable to the wall wavelength. The instability is not driven by centrifugal or viscous effects but is a novel kind of cross-flow vortex instability associated with a spatially periodic flow; the existence of the instability is associated with the orientation of the wave crests. The instability is investigated for wavelengths comparable to the depth of the viscous wall layer; the limiting cases of large and small wavelengths are investigated asymptotically. At small wavenumbers and roughness heights the instability connects with disturbances of wavelength comparable to the wall wavelength. At high wavenumbers and roughness heights a new structure emerges and the disturbance moves away from the wall, that structure takes on a self-similar form with progressively faster variations in the streamwise and spanwise directions as the roughness height increases.
Advancing multimorbidity management in primary care: a narrative review

Abstract Background: Multimorbidity, defined as the coexistence of two or more chronic conditions in the same individual, is becoming a crucial health issue in primary care. Patients with multimorbidity utilize health care at a higher rate and have higher mortality rates and poorer quality of life compared to patients with single diseases. Aims: To explore evidence on how to advance multimorbidity management, with a focus on primary care. Primary care is where a large number of patients with multimorbidity are managed and is considered to be a gatekeeper in many health systems. Methods: A narrative review was conducted using four major electronic databases consisting of PubMed, Cochrane, World Health Organization database, and Google scholar. In the first round of reviews, priority was given to review papers summarizing the current issues and challenges in the management of multimorbidity. Thematic analysis using an inductive approach was used to build a framework on how to advance management. The second round of review focused on original articles providing evidence within the primary care context. Results: The review found that advancing multimorbidity management in primary care requires a health system approach and a patient-centered approach. The health systems approach includes three major areas: (i) improves access to care, (ii) promotes generalism, and (iii) provides a decision support system. For the patient-centered approach, four key aspects are essential for multimorbidity management: (i) promoting doctor-patient relationship, (ii) prioritizing health problems and sharing decision-making, (iii) supporting self-management, and (iv) integrating care. Advancement of multimorbidity management in primary care requires integrating concepts of multimorbidity management guidelines with concepts of patient-centered and chronic care models. This simple integration provides an overarching framework for advancing the health care system, connecting the processes of individualized care plans, and integrating care with other providers, family members, and the community.
Prevention of Cold Injuries during Exercise

SUMMARY ItisthepositionoftheAmericanCollegeofSportsMedicinethat exercisecan be performed safely in most cold-weather environments without incurring cold-weather injuries. The key to prevention is use of a comprehensive risk management strategy that: a)identifies/assesses the coldhazard; b) identifies/ assesses contributingfactors for cold-weatherinjuries; c)develops controls to mitigate cold stress/strain; d) implements controls into formal plans; and e) utilizes administrative oversight to ensure controls are enforced or modified. The American College of Sports Medicine recommends that: 1) coaches/athletes/medical personnel know the signs/symptoms and risk factors for hypothermia, frostbite, and nonfreezing cold injuries, identify individuals susceptible to cold injuries, and have the latest up-to-date information about current and future weather conditions before conducting training sessions or competitions; 2) cold-weather clothing be chosen based on each individual’s requirements and that standardized clothing ensembles not be mandated for entire groups; 3) the wind-chill temperature index be used to estimate the relative risk of frostbite and that heightened surveillance of exercisers be used at wind-chill temperatures below j 27 - C ( j 18 - F); and 4) individuals with asthma and cardiovascular disease can exercise in cold environments, but should be monitored closely.
Spectral Analysis for Dance Movement Query and Interpolation

While it is possible to quantify motion using various transforms or computational techniques, these representations may not be easy to interpret or reconstruct. In this paper, we focus on the problem of visualizing, querying, and manipulating dance components in the form of spectral features. Our first contribution is measuring the similarity of movements in a way that is robust to phase differences while identifying motions with similar pose frequencies. Our second contribution uses the similarity of pose spectra as a metric to drive the interpolation of a motion sequence towards target statistics. We identify the visual impact of these metrics on the characteristics of motion with input from experts in the dance field. These techniques are implemented to explore representations of dance that have the potential to be the basis of more intuitive choreography generation and educational tools for dance artists.
RoboGroove: Creating Fluid Motion for Dancing Robotic Arms

Robotic motion has been studied for many purposes, such as effective fast movements, communicative gestures, and obstacle avoidance. Through this study, we are able to improve the perceived expressivity of a robot performing a task by generating trajectories. So far, robots have been very rigid in their movements, making them feel more robotic and less human. The concept of follow through, and smooth movement, can be used to increase animacy for a robot which leads to a more lifelike performance. In this paper, we describe the use of follow through to improve dances and grooves that can match the elegance of human dancers. We created two techniques using a non-humanoid robotic arm, to simulate this for a robotic dancer. Our first technique uses forward kinematics with trajectories that are generated based on a dancer moving to a beat. We mapped various movements of a human dancer to a set of joints on a robotic arm to generate the dancing trajectory. This technique allows a robot to dance in real-time with a human dancer, and also create its own smooth trajectory. The time delay that each human body part uses is implemented as time delay in the robot movements. The second method uses impedance control with varied damping parameters to create follow through. Robotic joints with low damping can passively move in response to other movements in a robot. The arm had high damping for any active moving joints, while the rest of the arm would passively react to this excitation; similar to how a human body responds to our own movement. These two methods were compared in a study where the robot would dance to a beat and users would qualitatively and quantitatively rate the robotic movement. The results of the survey showed that both methods provided an increase in animacy and anthropomorphism of a robot dancing to a beat. Impedance control had the highest rating for animacy, anthropomorphism, full body, and individual body rating. The use of impedance can provide a simple way for a robot to dance like a human, without a change to the primary trajectory.
Public Administration Suppliers Classification Model Based on Supervised Machine Learning

Context: Public contracts are agreements made between the Public Administration and individuals to achieve public interest objectives. Within this relationship, some problems such as contractual breaches may occur. In the Piauí State, the Audit Court, environment in which this research was developed, is responsible for analyzing and judging the accountability of the Legislative, Executive and Judiciary Powers. Problem: For government control bodies, the challenge generated is to act efficiently in the identification of fraud and corruption. To audit all processes, there is an unfeasible number of records to be analyzed by each auditor. Solution: Optimize the choice of processes to be audited, given the infeasibility of a full census. Thus, the present work uses Machine Learning (ML) techniques to assist in the selection of which ones will be audited. IS theory: Machine learning studies the computational methods that allow computer programs to autonomously obtain an improvement in a given task through experiments. Method: After the preparation applying the balancing and normalization of the base provided by the Audit Court that gathers other datasets about suppliers, experiments were carried out and the J48 algorithm was identified as the most appropriate for classification through the decision tree structure. Summary of Results: The constructed model resulted in a correct classification rate above 82% to solve the problem of classifying suppliers as high and/or low risk. Contributions and Impact in the IS area: The resulting classification model is expected to serve as support for an automatic supplier evaluation and classification system.
Experimental Creation of Contemporary Dance Works Using a Body-part Motion Synthesis System

We developed a body-part motion synthesis system (BMSS) that synthesizes 3D motion data captured from performances of professional dancers to support the creation of contemporary dance works. To evaluate the usefulness of the system, three professional choreographers created their original dance works experimentally using the BMSS three times, and dancers performed their works in theaters. By analyzing the sequence data created by the BMSS obtained through an interview with the choreographers, we found that the choreographers could discover a variety of uses for the BMSS by becoming proficient in its use. The characteristics of the choreography created by each choreographer were also clarified.
Algebraic analysis of quantum search with pure and mixed states (8 pages)

An algebraic analysis of Grover's quantum search algorithm is presented for the case in which the initial state is an arbitrary pure quantum state $\ensuremath{\mid}\ensuremath{\psi}⟩$ of $n$ qubits. This approach reveals the geometrical structure of the quantum search process, which turns out to be confined to a four-dimensional subspace of the Hilbert space. It unifies and generalizes earlier results on the time evolution of the amplitudes during the search, the optimal number of iterations, and the success probability. Furthermore, it enables a direct generalization to the case in which the initial state is a mixed state, providing an exact formula for the success probability.
Characteristics of implicit schemas in patients with major depressive disorder

Background Many psychotherapy theories emphasise the importance of self-schema and other-schema, but most previous studies focused on the explicit self-schema in major depressive disorder (MDD). However, the limited studies of implicit self-schema in MDD have shown inconsistencies in their findings. Furthermore, only a few studies have investigated the implicit other-schema, and the pathway illustrating how implicit schemas influence depression remains unclear. Aims The primary aim of our study was to explore the characteristics of implicit self-schema and other-schema in patients with MDD. We also examine the chain-mediating effect of attachment relationships and interpersonal trust. Methods The present study included 88 patients with MDD and 88 healthy controls (HCs). The Hamilton Depression Rating Scale-17, Experiences in Close Relationships Inventory—Revised Questionnaire, Trust Scale and the Extrinsic Affective Simon Task (EAST) were used to assess depressive symptoms, attachment relationships, interpersonal trust and implicit schemas, respectively. Paired sample t-test was used to compare the reaction time (RT) for positive and negative words within the two groups. Analysis of covariance was used to explore the difference between two groups from the perspective of implicit schemas and interpersonal patterns. The chain mediation model was verified by bootstrap. Results (1) For interpersonal patterns, patients with MDD scored significantly higher on attachment anxiety (F=82.150, p<0.001) and attachment avoidance (F=23.192, p<0.001) and scored significantly lower on the predictability (F=30.297, p<0.001), dependence (F=39.728, p<0.001) and faith (F=60.997, p<0.001) dimensions of interpersonal trust. (2) As for implicit schemas, no significant difference was found between the RT for positive self-words and negative self-words in patients with MDD (t=−1.056, p=0.294). However, the HC responded faster to positive self-words than negative self-words (t=−3.286, p=0.001). The RT for positive other-words and negative other-words were significantly different in both patients with MDD (t=2.943, p=0.004) and HCs (t=−2.482, p=0.015), with opposite directions. The EAST effect of other-schema in patients with MDD was significantly different from that in HCs (F=13.051, p<0.001). (3) For the total sample, the EAST effect of other-schema significantly correlated with attachment avoidance, interpersonal trust and depressive symptoms. Attachment avoidance and interpersonal trust were the chain mediators between the EAST effect of other-schema and depressive symptoms (95% CI: −0.090 to −0.008). However, no significant results were found for the EAST effect of other-schema when correlation and mediation analyses were performed for HCs and patients with MDD separately. Conclusions This study verified that patients with MDD have abnormal interpersonal patterns and negative implicit schemas. However, no mediating effect of attachment relationships and interpersonal trust was found.
A design of impedance transformer with tunable center frequencies using filter synthesis approach

Microwave impedance transformer (IT) with center frequency tunable capability is one of great research issue for better utilization of frequency spectrum resources and system miniaturization of next generation wireless communication systems. This article presents a filter synthesis approach for designing IT with center frequency tunable capability using single dc‐bias controlled tunable resonators. The proposed IT provides bandpass filtering response and is designed by properly coupling quarter‐wave tunable resonators with alternate J‐ and K‐inverters. The J‐inverters are realized using a parallel‐coupled line, whereas K‐inverter is implemented with T‐type short‐circuited TL. Using filter theory, analytical design equations are derived to calculate the circuit parameters. The center frequency of the proposed IT is tuned over a wide frequency tuning range (FTR) by changing the varactor diode capacitance of quarter‐wave resonators. For experimental demonstration, a prototype of 25‐to‐50 Ω IT is designed, simulated, and measured. The measured results confirmed that the center frequency of the proposed IT is tuned from 2.05 to 2.91 GHz (860 MHz or 34.68% FTR) with an insertion loss variation of 2.57 to 1.76 dB.
Radiotracers to Address Unmet Clinical Needs in Cardiovascular Imaging, Part 2: Inflammation, Fibrosis, Thrombosis, Calcification, and Amyloidosis Imaging

Cardiovascular imaging is evolving in response to systemwide trends toward molecular characterization and personalized therapies. The development of new radiotracers for PET and SPECT imaging is central to addressing the numerous unmet diagnostic needs that relate to these changes. In this 2-part review, we discuss select radiotracers that may help address key unmet clinical diagnostic needs in cardiovascular medicine. Part 1 examined key technical considerations pertaining to cardiovascular radiotracer development and reviewed emerging radiotracers for perfusion and neuronal imaging. Part 2 covers radiotracers for imaging cardiovascular inflammation, thrombosis, fibrosis, calcification, and amyloidosis. These radiotracers have the potential to address several unmet needs related to the risk stratification of atheroma, detection of thrombi, and the diagnosis, characterization, and risk stratification of cardiomyopathies. In the first section, we discuss radiotracers targeting various aspects of inflammatory responses in pathologies such as myocardial infarction, myocarditis, sarcoidosis, atherosclerosis, and vasculitis. In a subsequent section, we discuss radiotracers for the detection of systemic and device-related thrombi, such as those targeting fibrin (e.g., 64Cu-labeled fibrin-binding probe 8). We also cover emerging radiotracers for the imaging of cardiovascular fibrosis, such as those targeting fibroblast activation protein (e.g., 68Ga-fibroblast activation protein inhibitor). Lastly, we briefly review radiotracers for imaging of cardiovascular calcification (18F-NaF) and amyloidosis (e.g., 99mTc-pyrophosphate and 18F-florbetapir).
Sistema de monitoreo acelerográfico del Laboratorio de Ingeniería Sísmica

El sistema automatico de identificacion y localizacion de sismos del Laboratorio de Ingenieria Sismica de la Universidad de Costa Rica se empezo a desarrollar en el ano 2010. Este procesa la informacion proveniente de mas de 120 acelerografos digitales triaxiales conectados a la Internet. Ellos forman parte de la red de movimiento fuerte del laboratorio. Cuando ocurre un terremoto, el sistema calcula la localizacion y magnitud del sismo, asi como los valores de aceleracion y velocidad maximos, espectros de respuesta y diseno para cada una de las estaciones que se encuentren en linea en ese instante. El sistema funciona mediante modulos y el informe que se genera tarda alrededor de diez minutos. Sin embargo, cada vez que un modulo ha terminado de procesar los datos, la informacion de este se actualiza inmediatamente en el sitio web www.lis. ucr.ac. cr .
Reply to the comment on ‘Evaluation of the primary frequency standard NPL-CsF1’

In response to the comment by Jefferts and Levi on page L11 of this issue, we review the uncertainty budget quoted in our earlier paper on the evaluation of the caesium primary frequency standard NPL-CsF1. As a result of this re-evaluation, performed in the light of new analyses and experimental data on the microwave leakage shift, we expand the fractional frequency uncertainty for this standard to 2.0 × 10−15 (1σ).