Miracle-dz/UniFAR-FTUs huggingface dataset:
Coativação e pico de torque dos músculos extensores e flexores do joelho em indivíduos hemiparéticos crônicos nas posições sentada e supina

Disorders in co-activation and decreased muscle strength are often described in hemiparetic subjects. Changes in muscle length resulting from postural change may result in different responses of co-activation and strength of these individuals. The objective of this study was to evaluate the influence of sitting and supine positions in Co-activation Index (CI) and peak torque (PT) of chronic hemiparetic subjects after stroke. The participants were twenty individuals with mean age of 54±12.14 years; mean body mass index of 26.93±3.34 kg/m²; average stroke time of 55.85±49.4 months; Mini-Mental State Examination score between 27-30; and Fugl-Meyer of lower limb between 15-30. The electromyographic record was obtained while the volunteers performed five isokinetic contractions (60o/s) of knee extension and flexion in the sitting and supine positions. The semitendinosus muscle of paretic limb exhibited lower CI in the supine position compared to sitting: 0.36±0.33; 0.44±0.33 (p=0.048). There was no difference in CI of the rectus femoris between positions: 0.28±0.25 sitting and 0.23±0.21 supine. The PT of extensor and flexor muscles of the paretic limb did not vary between positions (PT extensor: sitting = 56.48±37.62 Nm, supine = 52.29±32.37 Nm; PT flexor: sitting = 12±11.1 Nm, supine = 10.95±6.4 Nm). The supine position showed lower CI in the semitendinosus muscle of paretic limb. The change of position did not influence the CI of rectus femoris muscle neither the PT of both muscle groups of the paretic limb. Thus, the supine position appears to be indicated during movement and strength training of these muscles in chronic hemiparetic patients after stroke.
The neonatal care from the perspective of continuous attention to woman and child's health

The study is a literature review of theses and dissertations concluded from 2000 to 2009 developed by the Obstetric and Neonatal Nursing Research Group and Breastfeeding Center for Studies and Research of Nursing School, University of São Paulo, which focused on the maternal and perinatal impact on neonatal health. The scientific production shows agreement with the guidelines to promote neonatal and infant health established by national and international health agencies.
TEL-AML1 Fusion Transcript in Relapsed Childhood Acute Lymphoblastic Leukemia

The cryptic translocation t(12;21)(p13;q22) has been recently recognized as the most common genetic rearrangement in B-lineage childhood acute lymphoblastic leukemia (ALL). The resulting fusion transcript, termed TEL-AML1, has been associated with an excellent prognosis at initial ALL diagnosis. Hence, we postulated that the incidence of TEL-AML1 fusion should be lower in patients with ALL relapse. To address this assumption and to investigate the prognostic significance of TEL-AML1 expression in relapsed childhood ALL, bone marrow samples of 146 children were analyzed by reverse-transcriptase (RT)-polymerase chain reaction (PCR). All children were treated according to Berlin-Frankfurt-Munster (BFM) ALL relapse trial protocols (ALL-REZ BFM 90-96). Their clinical features and outcome were compared with those of 262 patients who could not be tested due to lack of bone marrow samples. Thirty-two of 146 children with relapsed ALL were TEL-AML1 –positive. Four of the negative patients had T-lineage and nine Philadelphia chromosome (Ph[1][1])-positive leukemia. Thus, the incidence of TEL-AML1 in relapsed Ph1-negative, B-cell precursor ALL is 32 of 133 (24%). The 32 TEL-AML1 –positive and 101 negative patients differed significantly with respect to duration of last remission (42.5 v 27 months; P = .0001) and age at initial diagnosis (53.5 v 74 months; P = .0269). At a median follow-up time of 21.5 months, children positive for TEL-AML1 had a significantly ( P = .0011) higher probability of event-free survival (EFS; 0.79 v 0.33). The predominant majority of patients had been treated for initial ALL according to German multicenter BFM (108 of 133) or Cooperative ALL study group (CoALL) (19 of 133) frontline protocols. The comparison of tested and not-tested (N = 262) patients showed no significant difference. TEL-AML1 positivity predicted a favorable short-term outcome; long-term results are unknown. Screening for TEL-AML1 should become routine at relapse diagnosis and might be used for therapy stratification in future trials. [1]: #ref-1
Evaluación de tres técnicas coproparasitoscópicas para el diagnóstico de geohelmintos intestinales

Introduccion: las geohelmintiasis son un problema de salud publica; sin embargo, para su diagnostico no se ha establecido una tecnica de referencia (estandar de oro) sino que se han empleado diferentes pruebas coproparasitoscopicas con distintas tasas de sensibilidad. Objetivo: determinar la sensibilidad de la tecnica coproparasitoscopica de Kato-Katz frente a la combinacion del examen directo y la concentracion de Ritchie para detectar geohelmintos y establecer el grado de infeccion. Metodologia: se comparo la tecnica de Kato-Katz con la combinacion del coprologico directo y por concentracion de Ritchie, estas dos ultimas tomadas como estandar de oro, en 90 muestras de materia fecal provenientes de ninos del barrio La Cruz, localizado en el Nororiente de Medellin. Resultados: la sensibilidad de la tecnica de Kato-Katz para el diagnostico de infecciones por geohelmintos fue similar a la obtenida con la combinacion del coprologico directo y por concentracion. Conclusion: la tecnica de Kato-Katz da resultados confiables con alta sensibilidad para el diagnostico de las geohelmintiasis intestinales mas frecuentes en Colombia.
Ruptured advanced tubal ectopic pregnancy simulating uterine rupture: a case report.

BACKGROUND Ectopic pregnancy is one of the most critical and life-threatening emergencies in gynaecological practice and poses a diagnostic dilemma in advanced cases. This report highlights a case of ruptured advanced tubal ectopic pregnancy simulating uterine rupture. METHOD Case-note of a patient managed for ruptured advanced tubal ectopic pregnancy was used with a review of the relevant literature. RESULT A 24-year old primigravida who presented at 23 weeks gestation with signs and symptoms suggestive of ectopic pregnancy is presented. The advanced nature of the pregnancy posed a diagnostic dilemma as ruptured uterus shares the same characteristic dramatic presentation, especially in this patient with previous myomectomy. Prompt resuscitation and immediate laparotomy produced a good outcome. CONCLUSION High index of suspicion is important in the diagnosis of ectopic pregnancy. Even when diagnosis is in doubt, exploratory laparotomy may be life saving.
NEW EMPHASES ON THE STUDY OF THE PATHOGENESIS OF CHRONIC HEART FAILURE WITH PRESERVED EJECTION FRACTION: FOCUS ON INFLAMMATORY MARKERS

For the long time the systolic myocardial dysfunction was traditionally associated with the severity of chronic heart failure (CHF). Increasing number of patients with symptoms of CHF but without systolic dysfunction has drawn the attention of specialists to so-called CHF with preserved ejection fraction. Prognosis in CHF with preserved ejection fraction may be as bad as in CHF with reduced ejection fraction. Significant changes in views on the pathogenesis of CHF led to the creation of new therapeutic approaches in the treatment of this disease. However, at present, convincing evidence base of mortality reduction in patients with CHF with preserved ejection fraction using well-known therapeutic agents is unavailable. It makes conduct active searches for new biological markers of diastolic heart function. Participation of proinflammatory cytokines, in particular GDF-15, in the process of elasticity reduction and relaxation disorders of left ventricular myocardium, may be of great importance in the development of new medical agents designed to delay the progression of CHF with preserved ejection fraction.
Staging von kindlichen Lymphomen: Vergleich von FDG-PET und CT

Der klinische Nutzen der FDG-PET hinsichtlich des Stagings und der Therapiekontrolle bei adulten Patienten mit Lymphomerkrankung konnte in einer Vielzahl von Studien gezeigt werden. Im Kindesalter gibt es hierzu nur wenige Daten. Ziel dieser retrospektiven Studie ist der Vergleich der Ganzkorper-FDG-PET und der CT beim Staging des M. Hodgkin (HD) und der Non-Hodgkin- Lymphome (NHL) im Kindesalter. Methode: Bei 25 padiatrischen Patienten mit histologisch gesicherten Lymphomen (18 HD, 7 NHL) erfolgten FDG-PET-Untersuchungen in Ganzkorpertechnik. Die FDG-PET-Aufnahmen wurden im Vergleich zu denen mit CT von je zwei erfahrenen Untersuchern hinsichtlich der Erkennung von Lymphommanifestationen analysiert. Zum Vergleich wurde eine Einteilung in 30 Regionen pro Patient (22 nodal, 8 extranodal) vorgenommen. Die FDG-PET und die CT wurden in jeder Region jeweils mit einer 5-Wert-Skala (sicher/wahrscheinlich positiv, unbestimmt, wahrscheinlich/ sicher negativ) beurteilt. Ergebnisse: Insgesamt wurden 662 Regionen (470 nodal, 192 extranodal) analysiert. 91 Regionen (81 nodal, 10 extranodal; 14%) wurden konkordant positiv und 517 Regionen (347 nodal, 170 extranodal; 78%) konkordant negativ befundet. In 47 Regionen wurden 48 Lasionen diskordant bewertet (7%): 27 Lasionen (22 nodal, 5 extranodal) waren positiv in der FDG-PET und negativ in der CT, 21 Lasionen (17 nodal, 4 extranodal) hingegen negativ in der FDG-PET und positiv in der CT. 7 Regionen (1%) wurden mit einer der beiden bildgebenden Methoden als unbestimmt eingestuft (1 FDG-PET, 6 CT). Im Vergleich zur CT ergibt sich in der FDG-PET bei 4 von 25 Patienten ein hoheres Staging und bei 2 von 25 Patienten ein niedrigeres Staging. Schlussfolgerung: Mit der FDG-PET ergeben sich im Vergleich zur CT bei Lymphomen im Kindesalter Unterschiede, die bei 6 von 25 Patienten zu einem anderen Staging fuhren. Prospektive Studien mit Validierung der diskrepanten Befunde werden benotigt.
Aumento do volume do baço em modelo experimental de hipertensão portal pré-hepática em ratos

BACKGROUND: Pressure increase in the portal venous system, caused by reduction of blood supply to the liver, develops collateral circulation of splanchnic vessel that reaches the venous system of superior vena cava. The spleen works as an auxiliary capacitance system which compensates the increase in portal pressure that may cause splenomegaly. AIM: To reproduce experimental model of pre-hepatic portal hypertension by reducing the caliber of the vein, allowing the study of alterations in the rat's spleen in this situation. METHODS: Fifteen Wistar rats were divided into three groups of five. All animals were operated, being the first five used as control (group 1) and reoperated after 15 days (sham-operated), along with five other animals had portal hypertension induced (group 2). The last five animals, also with portal hypertension were reoperated after 30 days (group 3). Prehepatic portal hypertension was caused in experimental animals by partial ligation of portal vein in hepatic hilum. The spleen was measured during the first and second operations, allowing the calculation of its volume in the three groups studied using specific mathematical formula. RESULTS: No macroscopic changes in spleen were significant when compared the animals reoperated after 15 days (group 2) to the ones after 30 days (group 3), being 15 days considered enough for the evaluation of effects on spleen after partial ligation. Although the volume of spleens studied in groups 2 and 3 have increased after the first operation - ranging on average from 0.5417 cm3 to 0.6345 cm3 at reoperation with increase of approximately 17% in volume between the first and second phase - the rsults were not statistically significant (p> 0.05). CONCLUSION: There was no statistically significant increase in the spleen volume after partial ligation of the portal vein when comparing the calculated volume in the first operation to the volume found at reoperation. There was no difference when comparing the spleen volumes of the animals reoperated after 15 days and the ones reoperated after 30 days.
Effects of Protein and Energy Restricted Diet During Lactation Leads to Persistent Morphological Changes on Tibia Growth in the Weaned Pups

Los objetivos de este estudio fueron evaluar los efectos de la restriccion materna de proteinas y de energia durante la lactancia y sus efectos en el peso corporal y las dimensiones de las tibias de crias en ratas. En el parto, las crias de ratas Wistar fueron agrupadas aleatoriamente en los grupos siguientes: 1) grupo control (C) - con acceso libre a una dieta estandar del laboratorio, que contenia 23% de proteinas; 2) grupo con restriccion de proteinas y energia (PR) - acceso libre a una dieta isoenergetica, con restriccion de proteinas, conteniendo un 8% de estas y 3) grupo con restriccion de energia, alimentado con restriccion en la cantidad de alimento de la dieta estandar del laboratorio (ER). Al destete, todas las crias fueron separadas y recibieron la dieta estandar del laboratorio, conteniendo 23% de proteinas, hasta los 180 dias, cuando fueron anestesiadas y sacrificadas. El analisis morfometrico de la tibia demostro que la mayoria de las mediciones en los grupos ER y PR, fueron significativamente menores que las del grupo control, con mayores reducciones en el grupo PR. Estos resultados muestran que las restricciones de energia y proteinas durante la lactancia tienen una influencia importante en el desarrollo de la tibia de las crias
Random Machines: A bagged-weighted support vector model with free kernel choice

Improvement of statistical learning models in order to increase efficiency in solving classification or regression problems is still a goal pursued by the scientific community. In this way, the support vector machine model is one of the most successful and powerful algorithms for those tasks. However, its performance depends directly from the choice of the kernel function and their hyperparameters. The traditional choice of them, actually, can be computationally expensive to do the kernel choice and the tuning processes. In this article, it is proposed a novel framework to deal with the kernel function selection called Random Machines. The results improved accuracy and reduced computational time. The data study was performed in simulated data and over 27 real benchmarking datasets.
Governance of Social Welfare in Networked Markets

This article aims to investigate how a central authority (e.g., a government) can increase social welfare (SW) in a network of markets and firms. In these networks, modeled using a bipartite graph, firms compete with each other ` a la Cournot. Each firm can supply homogeneous goods in markets which it has access to. The central authority may take different policies for its aim. In this article, we assume that the government has a budget by which it can supply some goods and inject them into various markets. We discuss how the central authority can best allocate its budget for the distribution of goods to maximize SW. We show that the solution is highly dependent on the structure of the network. Then, using the network’s structural features, we present a heuristic algorithm for our target problem. Finally, we compare the performance of our algorithm with other heuristics with experimentation on real datasets.
Motion Control for Autonomous Heterogeneous Multiagent Area Search in Uncertain Conditions

Using multiple mobile robots in search missions offers a lot of benefits, but one needs a suitable and competent motion control algorithm that is able to consider sensor characteristics, the uncertainty of target detection, and complexity of needed maneuvers in order to make a multiagent search autonomous. This article provides a methodology for an autonomous 2-D search using multiple unmanned (aerial or possibly other) vehicles. The proposed methodology relies on an accurate calculation of target occurrence probability distribution based on the initial estimated target distribution and continuous action of spatial variant search agent sensors. The core of the autonomous search process is a high-level motion control for multiple search agents which utilizes the probabilistic model of target occurrence via a heat equation-driven area coverage (HEDAC) method. This centralized motion control algorithm is tailored for handling a group of search agents that are heterogeneous in both motion and sensing characteristics. The motion of agents is directed by the gradient of the potential field which provides a near-ergodic exploration of the search space. The proposed method is tested on three realistic search mission simulations and compared with three alternative methods, where HEDAC outperforms all alternatives in all tests. Conventional search strategies need about double the time to achieve the proportionate detection rate when compared to HEDAC controlled search. The scalability test showed that increasing the number of an HEDAC controlled search agents, although somewhat deteriorating the search efficiency, provides needed speed-up of the search. This study shows the flexibility and competence of the proposed method and gives a strong foundation for possible real-world applications.
Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings

Previous works related to automatic personality recognition focus on using traditional classification models with linguistic features. However, attentive neural networks with contextual embeddings, which have achieved huge success in text classification, are rarely explored for this task. In this project, we have two major contributions. First, we create the first dialogue-based personality dataset, FriendsPersona , by annotating 5 personality traits of speakers from Friends TV Show through crowdsourcing. Second, we present a novel approach to automatic personality recognition using pre-trained contextual embeddings (BERT and RoBERTa) and attentive neural networks. Our models largely improve the state-of-art results on the monologue Essays dataset by 2.49%, and establish a solid benchmark on our FriendsPersona. By comparing results in two datasets, we demonstrate the challenges of modeling personality in multi-party dialogue.
A Practical Introduction to Regression Discontinuity Designs

In this Element and its accompanying Element, Matias D. Cattaneo, Nicolas Idrobo, and Rocio Titiunik provide an accessible and practical guide for the analysis and interpretation of Regression Discontinuity (RD) designs that encourages the use of a common set of practices and facilitates the accumulation of RD-based empirical evidence. In this Element, the authors discuss the foundations of the canonical Sharp RD design, which has the following features: (i) the score is continuously distributed and has only one dimension, (ii) there is only one cutoff, and (iii) compliance with the treatment assignment is perfect. In the accompanying Element, the authors discuss practical and conceptual extensions to the basic RD setup.
mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs

In this paper, mm-Pose, a novel approach to detect and track human skeletons in real-time using an mmWave radar, is proposed. To the best of the authors’ knowledge, this is the first method to detect >15 distinct skeletal joints using mmWave radar reflection signals. The proposed method would find several applications in traffic monitoring systems, autonomous vehicles, patient monitoring systems and defense forces to detect and track human skeleton for effective and preventive decision making in real-time. The use of radar makes the system operationally robust to scene lighting and adverse weather conditions. The reflected radar point cloud in range, azimuth and elevation are first resolved and projected in Range-Azimuth and Range-Elevation planes. A novel low-size high-resolution radar-to-image representation is also presented, that overcomes the sparsity in traditional point cloud data and offers significant reduction in the subsequent machine learning architecture. The RGB channels were assigned with the normalized values of range, elevation/azimuth and the power level of the reflection signals for each of the points. A forked CNN architecture was used to predict the real-world position of the skeletal joints in 3-D space, using the radar-to-image representation. The proposed method was tested for a single human scenario for four primary motions, (i) Walking, (ii) Swinging left arm, (iii) Swinging right arm, and (iv) Swinging both arms to validate accurate predictions for motion in range, azimuth and elevation. The detailed methodology, implementation, challenges, and validation results are presented.
Fast collisional electron heating and relaxation in thin foils driven by a circularly polarized ultraintense short-pulse laser

The creation of well-thermalized, hot and dense plasmas is attractive for warm dense matter studies. We investigate collisionally induced energy absorption of an ultraintense and ultrashort laser pulse in a solid copper target using particle-in-cell simulations. We find that, upon irradiation by a $2\times 10^{20}~\text{W}\,\text{cm}^{-2}$ intensity, 60 fs duration, circularly polarized laser pulse, the electrons in the collisional simulation rapidly reach a well-thermalized distribution with ${\sim}3.5~\text{keV}$ temperature, while in the collisionless simulation the absorption is several orders of magnitude weaker. Circular polarization inhibits the generation of suprathermal electrons, while ensuring efficient bulk heating through inverse bremsstrahlung, a mechanism usually overlooked at relativistic laser intensity. An additional simulation, taking account of both collisional and field ionization, yields similar results: the bulk electrons are heated to ${\sim}2.5~\text{keV}$, but with a somewhat lower degree of thermalization than in the pre-set, fixed-ionization case. The collisional absorption mechanism is found to be robust against variations in the laser parameters. At fixed laser pulse energy, increasing the pulse duration rather than the intensity leads to a higher electron temperature.
System Identification with Time-Aware Neural Sequence Models

Established recurrent neural networks are well-suited to solve a wide variety of prediction tasks involving discrete sequences. However, they do not perform as well in the task of dynamical system identification, when dealing with observations from continuous variables that are unevenly sampled in time, for example due to missing observations. We show how such neural sequence models can be adapted to deal with variable step sizes in a natural way. In particular, we introduce a time-aware and stationary extension of existing models (including the Gated Recurrent Unit) that allows them to deal with unevenly sampled system observations by adapting to the observation times, while facilitating higher-order temporal behavior. We discuss the properties and demonstrate the validity of the proposed approach, based on samples from two industrial input/output processes.
Parameter-Free Locally Differentially Private Stochastic Subgradient Descent

We consider the problem of minimizing a convex risk with stochastic subgradients guaranteeing $\epsilon$-locally differentially private ($\epsilon$-LDP). While it has been shown that stochastic optimization is possible with $\epsilon$-LDP via the standard SGD (Song et al., 2013), its convergence rate largely depends on the learning rate, which must be tuned via repeated runs. Further, tuning is detrimental to privacy loss since it significantly increases the number of gradient requests. In this work, we propose BANCO (Betting Algorithm for Noisy COins), the first $\epsilon$-LDP SGD algorithm that essentially matches the convergence rate of the tuned SGD without any learning rate parameter, reducing privacy loss and saving privacy budget.