Miracle-dz/UniFAR-FTUs huggingface dataset:
Estudo transversal sobre o tratamento das lesões acrômioclaviculares agudas

OBJETIVO: O objetivo do presente estudo transversal e verificar como o ortopedista brasileiro interpreta as lesoes acromioclaviculares quanto aos criterios para a indicacao do tratamento cirurgico ou nao, seus metodos preferidos, as complicacoes mais frequentes e os resultados obtidos. METODOS: Durante o 6o Congresso Brasileiro de Cirurgia do Ombro e Cotovelo (CBOC) e o 38o Congresso Brasileiro de Ortopedia e Traumatologia (CBOT) foram distribuidos 507 questionarios, sendo considerados 478 para analise. RESULTADOS: Em relacao ao tratamento das LAC tipo I e II, a maioria dos entrevistados utilizam metodos nao cirurgicos. Em contraposicao nas LAC IV, V e VI 475 (99,4%) dos entrevistados tratam essas lesoes cirurgicamente. Nas LAC tipo III nao existe uma definicao na escolha do tratamento cirurgico ou nao cirurgico para 386 (80,7%) entrevistados, sendo que o fator mais importante para tomada de decisao para a maioria dos entrevistados e a atividade esportiva do paciente e a idade. CONCLUSAO: Nas LAC tipo III nao ha consenso, sendo o tratamento determinado conforme as caracteristicas do paciente, contudo na literatura atual ha uma tendencia para o tratamento nao cirurgico destas lesoes.
Morfometría basada en vóxel en pacientes con epilepsia focal extratemporal frontal farmacorresistente

Objetivo: Evaluar la contribucion de la morfometria basada en voxel mediante la RMN 3D cuantitativa, en la localizacion de la lesion epileptogenica en pacientes con epilepsia focal extratemporal frontal farmacorresistente. Metodo: Se estudiaron seis pacientes ingresados en el CIREN con el diagnostico de epilepsia focal extratemporal frontal farmacorresistente, siguiendo los protocolos del Programa de Cirugia de la Epilepsia de esta Institucion. Se realizo la morfometria basada en voxel mediante la evaluacion cuantitativa por RMN (3D), y se analizaron las estructuras del lobulo frontal: giro frontal superior, giro frontal medio, giro frontal inferior (porciones opercular, angular y orbital), giro frontal superior medial y giro frontal medial orbital. Los valores obtenidos se compararon con los valores normativos de 237 casos sanos pertenecientes al Proyecto de Mapeo Cerebral, desarrollado en Cuba. Resultados: Cinco de los seis (83,3%) pacientes estudiados presentaron alteraciones en al menos una estructura frontal. Tres casos (50%) presentaron alteraciones morfometricas en putamen, dos (33,3%) en caudado y uno (0,06%) en globo palido. Asociadas a las alteraciones en estructuras frontales, se encontraron cuatro(66,6%) pacientes con alteraciones en nucleos basales y otros cuatro (66,6%) con alteraciones en talamo. En dos de los casos la RMN cualitativa fue normal, mientras que la RMN cuantitativa arrojo alteraciones. Conclusiones: Se detectaron en los pacientes estudiados, anomalias en estructuras corticales de giros del lobulo frontal, asociadas a anomalias de estructuras subcorticales (no demostradas por la RMN cualitativa) que pudieran tener implicacion potencial en la definicion de la lesion epileptogenica. No obstante, se hace necesario realizar estudios mas profundos para emitir resultados concluyentes
Computerized Interpretation of Cardiovascular Physiological Signals 1

The conventional mode of health delivery can be profiled as follows: a patient, if he does not feel good, will visit his physician and report his symptoms (e.g., headache, bellyache, and nausea, etc); the physician strives to make a few empirical hypotheses based on the patient’s complaints and medical history; in general, the physician has to further examine the patient’s vital signs (e.g., body temperature, blood pressure, and pulse, etc.) so as to confirm or reject his initial hypotheses; if the physician is confident enough on his hypotheses, the final diagnosis decision can be made and the according treatments are hereby delivered; if not, the physician will resort to various medical instruments (e.g., electrocardiography, ultrasonography, and computed tomography, etc) and laboratory tests (e.g., blood test, urinalysis, and immunological analysis, etc); during this procedure, the initial hypotheses may be updated at any time; to those complicated diseases, the physicians will propose a few tentative treatments and modify them in accordance with clinical observations. It is noteworthy that above procedure is triggered and driven by patients’ symptoms. But most symptoms are subjective, and are late manifestations of a disease or a group of diseases. In other words, they often incur expensive and painful clinical treatments. Furthermore, once the patients perceive malign symptoms, they may have missed the best opportunity of medical treatments. Take cardiovascular diseases (CVDs) for an example. Nowadays it is possible to treat or relieve nearly all CVDs by medical interventions, such as controlling blood pressure and blood cholesterol. In the case of refractory or congenital CVDs, various sophisticated clinical instruments and operations, including pacemakers, prosthetic valves, coronary artery bypass and even whole heart transplantation, have been developed and practiced too. As a consequence, the World Health Organization (WHO) reports “. at least 80% of premature deaths from heart disease and stroke could be avoided
The Influence of Deployment of DSM on Power System Angular and Frequency Transients and Stability

Demand side management (DSM) has become one of the most effective methods to enhance and improve power system flexibility and stability, which are challenged by high operational variability and uncertainty of modern and future power systems. However, by manipulating load consumption patterns and compositions, DSM can be considered as a disturbance, and it may endanger system stability when the system is transferring from pre-DSM to post-DSM operating points. The paper illustrates system transient behaviour following a DSM deployment using a Monte Carlo simulation based probabilistic analysis. It also demonstrates advantages of applying time delays between DSM actions as a potential mitigating solution. By emphasising the importance of the transient period following the actual deployment (connection or disconnection of demand) of DSM for overall system angular and frequency stability, it contributes to better planning and implementation of DSM in power systems. All simulations have been performed in a mixed Matlab and DigSilent/PowerFactory environment and illustrated using a modified version of the IEEE 68-bus test system.
EFFECTS OF REIKI ON PAIN AND SELECTED AFFECTIVE AND PERSONALITY VARIABLES OF CHRONICALLY ILL PATIENTS

This experiment examined the effects of Reiki (a laying-of-on-hands healing modality) on pain, mood, personality, and faith in God. Participants (N 120) were randomly assigned to one of the four groups (ns = 30). The Reiki Group received ten sessions of Reiki. Progressive Muscle Relaxation Group received ten sessions of relaxation therapy. Control Group received no treatment. Placebo Group received ten sessions of false-Reiki. Statistical analysis led to the following conclusions: (1) Reiki is an effective modality for reducing pain, depression, and anxiety. (2) Reiki is effective in enhancing desirable changes in personality and strengthening the faith in God. (3) Gains made by Reiki tend to persist over longer periods of dme. (4) Attunement seems to be a viral part in Reiki training. (5) Chronically ill patients experiencing stress and pain tend to be receptive to Reiki.
Behavior selector for autonomous vehicles using neural networks

In this work, we propose a method to build a behavior selector for the autonomous vehicle AutoMiny. With this, the vehicle was able to: drive lane-keeping and under the speed limit, pass parked cars, stop if a pedestrian (or another obstacle) appears in front of it, and park when the “passenger” sends a signal. The behavior selector designed was a feed-forward neural network where the inputs are seven binary variables whose values change depending on the sensors’ data, and four neurons in the output correspond to four driving maneuvers.To detect and localize traffic signs, other vehicles, and commons obstacles on the road (like pedestrians, dogs, cats, etc.) a convolutional neural network with YOLOv3 architecture was designed, trained, and implemented. With this, it was possible to process the camera’s images and define several states for the decision-making neural network. All proofs were realized using the Gazebo-ROS software in a simulator designed for the AutoMiny vehicle.
Vocal Detection Using Convolution Neural Networks with Visualization Tools

In this paper, we report the use of convolutional neural networks (CNN) with the aid of visualization tools, such as Grad-CAM and Score-CAM, to detect vocal signals in audio clips. CNN model typically requires relatively long audio segments for prediction. To improve the detection accuracy with short nonvocal gaps, we include information obtained from the Grad-CAM and Score-CAM, along with the original predicted results, to form the input to a post classifier. The experimental results show that the detection accuracy is improved, especially when short nonvocal gaps are present.
The Growing Burden of Risk from High Blood Pressure, Cholesterol, and Bodyweight

851 High blood pressure, cholesterol, and bodyweight are responsible for a large and increasing proportion of the global burden of disease. Although historically these risks have been regarded as “Western,” their impact is now recognized as global: they are already leading causes of disease in middle-income countries and of emerging importance in low-income countries (Ezzati and others 2004; WHO 2002). This chapter presents an evidenced-based review of the impact of high blood pressure, cholesterol, and bodyweight; the cost-effectiveness of relevant interventions; and the economic benefits of interventions. The chapter focuses on personal interventions—that is, those that are mediated largely by interpersonal actions and take place at the individual level. As such, the chapter should be considered as complementary to chapter 44 on lifestyles, which addresses populationwide interventions. Prevention strategies have been broadly classified as individual based (also known as high risk) or population based (Rose 1985). The former typically involve screening to detect individuals above a certain threshold level of an individual risk factor—for example, people with hypertension—followed by personal interventions for those individuals. In contrast, the population-based approach aims at lowering mean risk-factor levels and shifting the population distribution of exposure in a favorable direction (Rose 1985). One example would be by reducing salt content in manufactured foods, thereby lowering blood pressure levels on a populationwide basis. Such an approach has the potential to produce large and lasting changes in disease incidence but requires substantial sociopolitical investments.Another approach is an evolution of the individualbased strategy in which treatments are targeted to those at high absolute risk of cardiovascular disease (CVD) rather than those with single risk-factor levels above traditional thresholds, such as hypertension or obesity (Jackson and others 1993). Such an approach appears to be highly cost-effective, with the potential to substantially reduce CVD rates when combined with populationwide interventions (Murray and others 2003).
Solving the influence maximization problem by using entropy and weight of edges

The Problem of Maximizing diffusion was raised to find the number of K nodes as a subset of all social network nodes. Many other social network nodes can be activated to get information by obtaining the right nodes in this set. Solving this problem optimally will improve and increase marketing and widely transfer any information on social networks. Although many studies have investigated this issue, there are a few studies on this algorithm for providing an optimal solution. Moreover, less attention has been paid to the difference between edges and their weights in society. Therefore, this study set a score appropriate to the conditions of each node according to the topological criteria and entropy, the level of communication, and the degree of neighbors around nodes. Then, K seeds with the highest influence was carefully identified according to the scores and their measurement.
The influence of sex and gonadal hormones on sleep disorders

Sleep disorders such as insomnia, sleep-related breathing disorders, circadian rhythm disorders, and sleep-related movement disorders are a significant public health issue, affecting approximately 40 million people in the US each year. Sleep disturbances are observed in both men and women, though prevalence rates often differ between the sexes. In general, research suggests that women more frequently report subjective complaints of insomnia, yet show better sleep than men when evaluated on objective measures of sleep. Men are more likely to be diagnosed with obstructive sleep apnea than women, though rates of obstructive sleep apnea increase after menopause and may be generally underdiagnosed in women. Although circadian rhythm disorders are equally prevalent in men and women, studies find that women typically have earlier bedtimes and exhibit altered temperature and melatonin rhythms relative to men. Lastly, movement disorders appear to be more prevalent in women than men, presumably due to higher rates of anemia and increased risks associated with pregnancy in women. Although gonadal hormones would be expected to play a significant role in the development and/or exacerbation of sleep disturbances, no causal link between these factors has been clearly established. In large part, the impact of hormones on sleep disturbances is significantly confounded by factors such as psychiatric, physical, and lifestyle concerns, which may play an equal or greater role in the development and/or exacerbation of sleep disturbances than do hormonal factors. Current standard of care for persons with sleep disorders includes use of psychological, pharmacologic, and/or medical device supported interventions. Hormonal-based treatments are not typically recommended given the potential for long-term adverse health effects. In sum, there is a sub- stantial need for more comprehensive studies focused on elucidating the impact of hormones on sleep. Such studies should reveal sex-specific differences in sleep, which could lead to enhanced interventions for sex-specific sleep disturbances.
Adaptasi Pola Ritme Dangdut pada Ansambel Perkusi

Dangdut Rhythmic Pattern Adaptation on Percussion Ensamble. This article discuss the adaptation processof “Dangdut” rhythmic pattern and its tone qualities that were implemented in to the percussion ensemble. Earlierstudies showed that bath elements can pessibly be tone. It means that the differences between characteristic musicbasically can be used as a new musical idea to produce a new genre of music. This procedure began with theimplementation of new special symbol to be fi tted in to the western notation; it follows by the selection of “Dangdut”rhythmic pattern and to be implemented in to the percussion ensemble instruments such as timpani, bongo, hi-hat,roto-toms and tambourine. The result was a new color of musical genre that gives a new propective and possibilityin the world of music composition.
A New Deep Learning Architecture for Pneumonia Detection in Pediatrics

This paper proposes a new convolutional neuronal network architecture for pneumonia detection in pediatric healthcare. The model was constructed from the scratch and was trained, validated, and tested using a public data set composed of 5863 images classified into two distinguished classes: normal and pneumonia. Indeed, the obtained results show an improvement compared to the existing works which have used the same data set. In this work, our achieved experimentations have reached an accuracy equal to 99.3% with a validation accuracy equal to 95.89% and a test accuracy equal to 97.10%. Thus, obtained results are very encouraging compared to existing models in the literature.
Pelvic movement pattern in horses with hindlimb and forelimb lameness.

The vertical pelvic movement patterns in horses with hindlimb lameness may contain information useful for determining the instant of peak pain within the stride cycle. This information may be helpful to the practitioner in isolating lameness within the affected limb. Author's address: E. Paige Laurie Endowed Program in Equine Lameness, College of Veterinary Medicine, University of Missouri, Columbia, MO 65211; e-mail: keegank@missouri.edu. © 2005 AAEP.
A comparative study of a new PSO and P&O methods of the MPPT algorithm under partial Shading Conditions

Most often the PV panels are exposed to partial shading due to cloud, buildings and trees causing multiple peaks on the power-voltage (P-V) characteristic curve. Under these conditions the conventional Maximum Power Point Tracking methods cannot track the global maximum power point GMPP, where it is trapped at the first local maximum power point. That is why this paper proposes a particle swarm optimization (PSO) method based on maximum power point tracking (MPPT) algorithm to track global maximum power point (MPP) of photovoltaic (PV) generation under partial shading conditions. To show his efficiency and its advantages, it has been compared with P&O algorithms. Experimental results show that the PSO method is effective in terms of high reliability and high accuracy in tracking the global MPP.
When DMP Breaks: A Contribution on the Tenacity of Dynamic Movement Primitives from the Handwriting Perspective

Dynamic Movement Primitives are an encoding method oriented to model the generalized behavior of a variable or set of variables over time, providing reproducibility and versatility. Originally designed for motor behavior, the method has demonstrated to be a highly promising tool for modeling tasks for robotic manipulators. An interesting use in literature is handwriting encoding. Close-shape graphemes are nearly impossible to model with existing DMP formulations. In this paper, we explore the operational definition of the method’s classic formulation in consideration, as well as a more tenacious form, focusing on cases which might not be possible to model. We then propose a solution to avoid such cases. Our modified formulation yields more consistent and coherent results regardless of the nature of the modelled handwritten graphemes.
Environmental survey and quality control tests of X-ray diagnostic facility of a large Nigerian hospital.

Environmental monitoring and quality control test of X-ray facilities of a large Nigerian hospital was carried out. The results show that the facilities for safety were grossly inadequate and the dose rates of 4. 0μSv/hr and 5.0 μSv/hr were recorded at the reception and outside the entrance door respectively. The dose rates at the adjacent ultrasound scan room and waiting lobby are at least a factor of 40 higher than the background dose rate each, indicating higher health risk to the visitors and personnel at the hospital. However, recommendations on how to improve on the safety of the patient and personnel were sent to the management of the X-ray unit of the hospital. Nevertheless, follow-up study indicate improved facilities and safety measures.
Widespread Dominance of Kinetoplastids and Unexpected Presence of Diplonemids in Deep Freshwater Lakes

Kinetoplastid flagellates are generally abundant in the deep sea and recently they were even found to be dominant in the hypolimnion of a deep freshwater lake. Therefore, to understand the distribution of kinetoplastids in deep freshwater lakes, we have collected vertical samples from five lakes in Japan. The abundance of kinetoplastids was enumerated by Catalyzed Reporter Deposition-Fluorescence in situ Hybridization, and the diversity was determined by 18S amplicon sequencing using universal eukaryote and kinetoplastid-specific primers. Kinetoplastids were abundant in the deep waters of all the lakes, contributing up to 53.6% of total nanoeukaryotes. Despite this significant contribution, kinetoplastids remain undetected by amplicon sequencing using universal primers that are widely used in eukaryotic diversity studies. However, they were detected with specific primers, and the communities were characterized by both ubiquitous and lake-specific unique OTUs. Oligotyping of a ubiquitous and dominant OTU revealed the presence of lake-specific sequence types (oligotypes). Remarkably, we also detected diplonemids (a sister group of kinetoplastids and considered to be specific in the marine habitat) using kinetoplastid-specific primers, showing their presence in freshwaters. Underestimation of kinetoplastids and diplonemids using universal primers indicates that euglenozoan flagellates are overlooked in diversity studies worldwide. The present study highlighted the importance of kinetoplastids in the hypolimnion of deep lakes, thereby indicating their role in material cycling in deep waters.
Widespread infection of Areospora rohanae in southern king crab (Lithodes santolla) populations across south Chilean Patagonia

Cottage cheese disease is caused by microsporidian parasites that infect a wide range of animal populations. Despite its potential to affect economically important activities, the spatial patterns of prevalence of this disease are still not well understood. Here, we analyse the occurrence of the microsporidian Areospora rohanae in populations of the king crab Lithodes santolla over ca 800 km of the southeastern Pacific shore. In winter 2011, conical pots were deployed between 50 and 200 m depth to capture crabs of a wide range of sizes. The infection was widely distributed along the region, with a mean prevalence of 16%, and no significant association between prevalence and geographical location was detected. Males, females and ovigerous females showed similar prevalence values of 16.5 (13–18.9), 15 (9.2–15) and 16.7% (10–19%), respectively. These patterns of prevalence were consistent across crab body sizes, despite the ontogenetic and sex-dependent variations in feeding behaviour and bathymetric migrations previously reported for king crabs. This study provided the first report of the geographical distribution of A. rohanae infecting southern king crabs.
Genome-wide analysis of basic helix–loop–helix superfamily members related to anthocyanin biosynthesis in eggplant (Solanum melongena L.)

The basic helix–loop–helix (bHLH) superfamily is considered the second largest transcription factor (TF) family. It plays regulatory roles in the developmental processes of plants and in their defense responses. In recent years, many bHLH superfamily genes have been identified and characterized in herbaceous and woody plants. However, the comprehensive genomic and functional analyses of these genes in eggplant (Solanum melongena L.) have not been reported. In this study, 121 bHLH TFs were identified in the recently released eggplant genome. The phylogeny, gene structure and conserved motifs of the SmbHLH gene were comprehensively studied. Subsequently, the phylogenetic relationship between the bHLH of eggplant and the bHLH of other species was analyzed, and the proteins were classified into 17 subfamilies. Among these protein sequences, 16 subgroups were clustered into the functional clades of Arabidopsis. Two candidate genes (SmbHLH1, SmbHLH117) that may be involved in anthocyanin biosynthesis were screened. The tissue specificity or differential expression of the bHLH genes in different tissues and under various light and temperature conditions suggested the differential regulation of tissue development and metabolism. This study not only provides a solid foundation for the functional dissection of the eggplant bHLH gene family but may also be useful for the future synthesis of anthocyanins in eggplant.