Miracle-dz/UniFAR-FTUs huggingface dataset:
ATIVIDADE ELETROMIOGRÁFICA DE ESTABILIZADORES DE TRONCO NO EXERCÍCIO PUSH-UP ISOMÉTRICO COM VIBRAÇÕES MECÂNICAS

O objetivo desse estudo foi verificar se a vibração mecânica aumenta a ativação eletromiográfica (EMG) de músculos do core durante o exercício de push-up isométrico. Participaram do estudo 13 homens saudáveis. As sessões experimentais consistiram na realização de uma repetição de push-up isométrico com angulação dos cotovelos a 90° até a exaustão voluntária. Em uma sessão, o push-up era realizado com as mãos sobre uma plataforma vibratória a uma frequência de 20Hz (V20). Na outra sessão a plataforma permanecia desligada durante a realização do exercício (V00). Avaliou-se a EMG dos músculos Reto Abdominal (RA) e Longuíssimo (LO). O Root Mean Square (RMS) do RA e do LO foi maior na V20 comparada à V00 (RA: p=0,002; g=0,6; LO: p=0,001; g=1,2), assim como a Frequência Mediana (FMED) (RA: p= 0,004; g=2; LO: p=0,001; g=2). A vibração mecânica alterou as respostas neuromusculares do core, visto que a EMG dos músculos analisados foi maior na sessão V20 comparada à sessão V00.
Trends Over Time in Breast-Cancer-Specific Mortality in Germany.

Trends over time in age group-specific breast cancer mortality in Germany (y-axis: log scale) – annual rates and case numbers for the prescreening time period (2003/2004) and the current period (2017/2018), absolute and relative changes in rates between 2003/2004 and 2017/2018 as well as results of the trend analyses. The dotted line marks the nationwide implementation of mammography screening in Germany in 2005. Values in square brackets are 95% confidence intervals; APC, annual percentage change. FIGURE Research Letter Trends Over Time in Breast-Cancer-Specific Mortality in Germany
Phenological traits of red amaranth varieties with a high content of amaranthine cultivated in open fields of Moscow region

The article focuses on phenological features of amaranth varieties grown in open fields as a reaction to variability of weather conditions in the Moscow region. Amaranthine is one of the promising compounds found in red-colored amaranths. It refers to a class of betalain pigments. The study revealed growth stages defined by the highest content of amarantine per plant and analyzed accumulation of the pigment in amaranth leaves and inflorescences. Phenological observations of introduced plant species under new conditions are important and determine their resistance to adverse environmental factors, ability to produce high quality fruits and seeds, and potential for cultivation. During the introduction of new amaranth varieties, the most adapted forms were selected for the conditions of the Non-Chernozem zone of the Russian Federation in 2013—2016. The studied Russian and Ecuador varieties were divided into 4 groups depending on the growth period (from germination to seed maturity). Analysis of phenological traits of plants confirmed that period of amaranth development did not depend on the variety, except the fourth stage of late-ripening cultivars — ‘Don Pedro’ and ‘Eku 17020’, dependent on weather conditions. Being dependent on weather conditions, the vegetative growth period turned to be the most stable. Late cv. ‘Eku 17020’ did not form mature seeds in open ground conditions, which is explained by its origin (Ecuador). In the present study we identified growth stages when plant raw materials had the highest dye content in red-leaved amaranth varieties (‘Valentina’, ‘Don Pedro’ and ‘Fakel’). We also considered the perspective of cultivation of green-leaved varieties with red inflorescences — ‘Pamyati Kovasa’ and ‘Eku-17020’ — as sources of biologically valuable compounds in the Moscow region.
WORKPLACE DEVIANCE REVIEW – A PHILOSOPHICAL STANCE

Purpose of the study: The research aimed to compile extensive literature on workplace deviance typology. Methodology: The research comprises a systematic literature review. The review helps to understand the extensive work on workplace deviance (1983-2019). The articles were shortlisted based on PRISMA, preferred reporting items for systematic reviews, to provide a clear picture. Based on 75 shortlisted articles from financial times (FT) – 50. The shortlisted articles comprise four clusters, i.e., antecedents, consequences, mediators, and moderators. Main Findings: The research found the need to explore future research based on a social constructivist lens. Applications of this study: The research provides a way forward to extend research in workplace deviance. Research developed a framework to guide future research on the new relationships of workplace deviance. Hence, empirical work on these relationships can offer new insights into construct dimensionality, methodology, and philosophy. Novelty/Originality of this study: After highlighting the key contributions of the previous researchers, the research attempted to articulate the ontology of workplace deviance by suggesting the need to investigate it through a different philosophical lens. Researchers then identified various gaps to be addressed in the future.
A Critical Review of Supersonic Flow Control for High-Speed Applications

In high-speed fluid dynamics, base pressure controls find many engineering applications, such as in the automobile and defense industries. Several studies have been reported on flow control with sudden expansion duct. Passive control was found to be more beneficial in the last four decades and is used in devices such as cavities, ribs, aerospikes, etc., but these need additional control mechanics and objects to control the flow. Therefore, in the last two decades, the active control method has been used via a microjet controller at the base region of the suddenly expanded duct of the convergent–divergent (CD) nozzle to control the flow, which was found to be a cost-efficient and energy-saving method. Hence, in this paper, a systemic literature review is conducted to investigate the research gap by reviewing the exhaustive work on the active control of high-speed aerodynamic flows from the nozzle as the major focus. Additionally, a basic idea about the nozzle and its configuration is discussed, and the passive control method for the control of flow, jet and noise are represented in order to investigate the existing contributions in supersonic speed applications. A critical review of the last two decades considering the challenges and limitations in this field is expressed. As a contribution, some major and minor gaps are introduced, and we plot the research trends in this field. As a result, this review can serve as guidance and an opportunity for scholars who want to use an active control approach via microjets for supersonic flow problems.
Grey Forecast Model with Aging Fractional Accumulation and Its Properties

A novel aging fractional accumulation operator is proposed. The aging accumulation operator can dynamically update the accumulation weight of data and flexibly change the forecast trend by adjusting the aging parameter. In addition, a new aging accumulated grey model is obtained by using the aging accumulation operator to improve the traditional grey model. In the analysis of four examples, the existing grey accumulation operator and prediction method are compared. The results show that the proposed aging accumulation operator and aging accumulation grey model have excellent performance.
Drop dispensing in a viscous outer liquid

The formation and detachment of Newtonian drops in viscous external liquids is investigated. A global analysis of two necking processes is presented in order to highlight the behavior of such thinning phenomena, when controlled either by inertia or by viscous effects. Moving detached droplets in an immiscible outer liquid were studied in terms of velocity and drop-travel distance. Theoretical predictions are proposed and compared with experimental data for the volume of the drop and for the subsequent dynamics that follow after detachment. Our investigations point out that the drop rapidly achieves constant velocity, the value of it being in a satisfactory agreement with the model. Both the influence of the flow rate and that of the material properties on drop volume are pursued.
AMFNet: an attention-based multi-level feature fusion network for ground objects extraction from mining area’s UAV-based RGB images and digital surface model

Abstract. Accurate extraction of ground objects in mining areas using high spatial resolution imagery can effectively assist in the arrangement and deployment of the production work in mining areas. Therefore, it is essential to extract ground objects of mining areas quickly and accurately. However, the task is very difficult due to the variety of complex scenes, the high intra-class variation, low inter-class variation, similar appearance, and large size difference among the ground objects in mining areas. Traditional extraction methods based on RGB images can no longer meet the requirement of high precision. To solve these problems, we propose an attention-based multi-level feature fusion network (AMFNet), which extracts objects more accurately from unmanned aerial vehicle-based RGB images and digital surface model (DSM). The DSM of the mining area provides the height information of the ground objects, which is another supplementary key feature while the objects cannot be distinguished only by appearance in the RGB images. AMFNet is a dual-branch network of encoder–decoder structure using RGB images and DSM as the double-branch input separately. Specifically, the channel attention module, MF, and atrous convolution are introduced in the encoder network to make better use of dual-branch features. The decoder network upsamples the deep features and uses skip connections to fuse the multi-level shallow features obtained by the encoder network with the deep features. Finally, we set up multiple comparisons and ablation experiments in the test dataset, which demonstrate the performance advantages of AMFNet from different dimensions.
Arthroscope Localization in 3D Ultrasound Volumes Using Weakly Supervised Deep Learning

This work presents an algorithm based on weak supervision to automatically localize an arthroscope on 3D ultrasound (US). The ultimate goal of this application is to combine 3D US with the 2D arthroscope view during knee arthroscopy, to provide the surgeon with a comprehensive view of the surgical site. The implemented algorithm consisted of a weakly supervised neural network, which was trained on 2D US images of different phantoms mimicking the imaging conditions during knee arthroscopy. Image-based classification was performed and the resulting class activation maps were used to localize the arthroscope. The localization performance was evaluated visually by three expert reviewers and by the calculation of objective metrics. Finally, the algorithm was also tested on a human cadaver knee. The algorithm achieved an average classification accuracy of 88.6% on phantom data and 83.3% on cadaver data. The localization of the arthroscope based on the class activation maps was correct in 92–100% of all true positive classifications for both phantom and cadaver data. These results are relevant because they show feasibility of automatic arthroscope localization in 3D US volumes, which is paramount to combining multiple image modalities that are available during knee arthroscopies.
Experimental Study on the Relationship between the Natural Frequency and the Corrosion in Reinforced Concrete Beams

Due to many nondamage factors such as temperature, humidity, carbonation, and corrosion effects on natural frequency, the key problem of the application frequency-based method to detect damage is to reveal the rules of these factors affect natural frequency and further to eliminate their effects. The long-term characteristics of reinforced concrete structures require a lot of attention, especially in corrosive environment. In this paper, an experimental investigation was conducted to study the deflection and natural frequency of reinforced concrete beam in a marine environmental chamber for six corrosion stages (accelerated corrosion for 0, 20, 40, 70, 100, and 140 days). The experimental results demonstrated that deflection increases with corrosion time, while natural frequency decreases with corrosion time. Based on the accelerate corrosion test data of reinforced concrete beams, the general expression of the relationship between corrosion depth and natural frequency has been established through the fitting curve method. The polynomial model has been selected for establishing the relationship between steel corrosion depth (including the main reinforcement and stirrup) and natural frequency. The reason for selecting the polynomial model is that the sum of squares due to error (SSE) is closer to 0 and the coefficient of multiple determination (R-square) is closer to 1. This investigations help to discriminate the cause of reinforced concrete beams natural frequency change, to eliminate nondamage factors affects, and to apply many structural damage identification methods effectively.
Additive Manufacturing Technologies: 3D Printing in Organic Synthesis

The manufacturing of a three‐dimensional product from a computer‐driven digital model (3D printing) has found extensive applications in several fields. Additive manufacturing technologies offer the possibility to fabricate ad hoc tailored products on demand, at affordable prices, and have been employed to make customized and complex items for actual sale. However, despite the great progress and the countless opportunities offered by the 3D printing technology, surprisingly a relatively limited number of applications have been documented in organic chemistry. This Minireview will focus specifically on the exploitation of additive manufacturing technologies in the synthesis of organic compounds, and, in particular, on the use of 3D‐printed catalysts and 3D printed reactors, and on the fabrication and use of 3D printed flow reactors.
The intraspecific variation of functional traits modulates drought resilience of European beech and pubescent oak

A higher frequency and intensity of droughts will impair forest productivity. Therefore, improving our understanding of which factors enhance tree growth resilience against drought has become a crucial issue, but we lack information at the intraspecific level. In this study, we investigate the role played by climatic conditions and tree characteristics in the growth response to severe droughts in two deciduous Fagaceae species near their southern distribution limit: the temperate European beech Fagus sylvatica and the Mediterranean pubescent oak Quercus pubescens. The study area is located in Catalonia, NE Spain, where 149 trees were cored covering the water availability gradient of the species in the region. In addition, tree size (diameter and height) and an ensemble of stem, leaf and hydraulic traits were collected for each tree. Growth responses to extreme droughts during the period 1980–2015 were assessed using resilience indicators based on residual basal area increment series predicted by a model including growing season water balance. Although resistance was unrelated to drought intensity, higher water availability improved recovery and reduced drought legacy effects. Taller trees showed higher resilience against drought, which could be explained by the relationship between the variation in tree height and functional traits, such as leaf nitrogen concentration, leaf turgor loss point and resistance to xylem embolism. For both species, trees with lower cavitation resistance, higher leaf nitrogen concentration and tighter stomatal regulation (suggested by less negative turgor loss point and carbon isotope composition) displayed better performance during and after severe droughts. Both species showed a progressive decrease in resilience and increase in legacy effects. Synthesis. This study highlights the relevance of analysing intraspecific variation of functional traits involved in tree water and carbon balance to improve our understanding of the resilience and variability of growth responses to drought within species.
The promise and challenges of RNA-targeted therapeutics in preventive cardiology.

Despite landmark achievements made in the past 50years to under-stand, treat, and prevent atherosclerotic cardiovascular diseases (ACVD), preventing heart attacks and strokes in high-risk patients still remains very challenging for clinicians. Our pharmacological arsenal of preventive therapies like statins and medicines targeting high blood pressure are effective in reducing the burden of ACVD, but they leave behind an important ‘residual risk’. Over the years, it has become increasingly recognized that our sedentary lifestyle and toxic food envi-ronment, our exposure to chronic stress, tobacco smoke and poor air quality contribute greatly to this so-called residual risk. The rise in the prevalence of cardiometabolic disease such as type 2 diabetes (T2D) and non-alcoholic fatty liver diseases (NAFLD) combined with sys-temic inflammation have also been shown to increase ACVD risk burden in the general population. From a pathophysiological standpoint, apolipoprotein B (apoB)-containing lipoproteins are the major drivers of ACVD and we have yet to find the threshold at which further low-ering blood levels of apoB-containing lipoproteins is not beneficial for cardiovascular health. 1 In the majority of patients, the most abundant atherogenic apoB-containing lipoproteins in the bloodstream include triglyceride-rich lipoproteins such as very-low-density lipoproteins (VLDLs) and their remnants, low-density lipoproteins (LDLs) and lipo-protein(a) (Lp[a]). ApoB-containing targeting apolipoprotein B-containing lipoprotein concentrations. Hepatic genetic targets of small inhibiting or antisense oligonucleotides (ASO) reduce the production of proteins influencing lipoprotein concentrations that contribute to the development of atherosclerotic cardiovascular diseases. RNA-based therapies targeting APOC3 or ANGPTL3 decrease triglyceride-rich lipoprotein levels or low-density lipoprotein (LDL) cholesterol levels targeting gene targeted
Community empowerment in leading pesantren: A research of Nyai’s leadership

<span>Leadership is one of the essential factors that can influence community involvement in realizing the character of male and female students in the <em>pesantren</em> (Islamic boarding schools) in Jambi, Indonesia<em>. </em> This study proposed <em>Nyai’s </em></span><span>(female religious leaders in the<em> pesantren</em>) charismatic, economic, and social responsibility leadership models in the context of community empowerment (CE). This quantitative research aimed to determine the contribution of <em>Nyai’s</em> leadership models to CE. The data from the questionnaire were analyzed using path and flowchart analysis. The results showed that the three <em>Nyai</em>’s leadership models in this study influenced and contributed to CE to support the <em>pesantren</em>’<em>s</em> activities and programs. This study recommended adopting the three <em>Nyai’s</em> leadership models in empowering the community in the <em>pesantren</em>. </span>
Green synthesis of Pd NPs from Pimpinella tirupatiensis plant extract and their application in photocatalytic activity dye degradation

The present report the synthesis of palladium nanoparticles through the green method route offers few advantages over the common chemical and physical procedures, as it is an easy and fast, eco-friendly and does not involve any costly chemicals as well as hazardous chemicals. In this study, we reported synthesis of Pd NPs by using the Pimpinella tirupatiensis plant Extract (PTPE). The synthesized Pd NPs was characterization using different technique such as UV-Visible for the formation of Pd NPs. FT-IR spectroscopy was performed to detect the bio-active molecules liable for reduction and capping of biogenic Pd NPs. Crystallinity of Pd NPs conformed by powder – XRD. In the present study performed photo catalytic activity of synthesized Pd NPs using organic dye such as Congo red (CR). Hence, this study concludes the PTPE aqueous extract produced Pd NPs can be act as promising material for the degradation of organic pollutants.
An Improved Dyna-Q Algorithm for Mobile Robot Path Planning in Unknown Dynamic Environment

This article deals with the problem of mobile robot path planning in an unknown environment that contains both static and dynamic obstacles, utilizing a reinforcement learning approach. We propose an improved Dyna-<inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula> algorithm, which incorporates heuristic search strategies, simulated annealing mechanism, and reactive navigation principle into <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-learning based on the Dyna architecture. A novel action-selection strategy combining <inline-formula> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula>-greedy policy with the cooling schedule control is presented, which, together with the heuristic reward function and heuristic actions, can tackle the exploration-exploitation dilemma and enhance the performance of global searching, convergence property, and learning efficiency for path planning. The proposed method is superior to the classical <inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula>-learning and Dyna-<inline-formula> <tex-math notation="LaTeX">${Q}$ </tex-math></inline-formula> algorithms in an unknown static environment, and it is successfully applied to an uncertain environment with multiple dynamic obstacles in simulations. Further, practical experiments are conducted by integrating MATLAB and robot operating system (ROS) on a physical robot platform, and the mobile robot manages to find a collision-free path, thus fulfilling autonomous navigation tasks in the real world.
Exploring the English Language Comprehension, Reading Fluency, and Executive Functions of Spanish-English Bilingual Adolescents with Reading Difficulties

Abstract This study examines differences in English language comprehension, reading fluency, and executive functions among Spanish-English bilinguals with reading difficulties. Reading difficulties examined included general reading difficulties, defined by low word reading and reading comprehension, and specific-reading comprehension difficulties, defined by low reading comprehension yet adequate word reading. Participants (N = 86) were categorized using multiple measures of reading comprehension and word reading in each of 6th, 7th, and 8th grade. Participants were also categorized based on persistent difficulties (i.e. remaining in the same group across multiple grades). On two measures of language comprehension, readers with either difficulty tended to demonstrate significant weaknesses relative to average readers. On passage reading fluency, readers with specific-reading comprehension difficulties performed worse than average readers but better than readers with general reading difficulties. On executive functions, readers with general reading difficulties demonstrated weaknesses relative to average readers, but there was little evidence that readers with specific-reading comprehension difficulties showed these weaknesses. These findings typically held when looking at readers with persistently defined difficulties. Longitudinal analyses indicated that 47% of students with S-RCD and 56% of students with GRD remained in their group across the three years, consistent with prior research. Findings highlight potential weaknesses in executive functions for children with general reading difficulties that should be considered when designing instruction for these students. These findings also support prior research on the importance of developing English language and reading fluency for Spanish-English bilingual children with reading difficulties.