Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing an e-Health Program Vs Home Rehabilitation Program in Patients With Non-Specific Low Back Pain: Study Protocol Randomized Feasibility Trial.

Background: Most patients who experience chronic low back pain are managed in primary care services, the international clinical guidelines endorse like first line of treatment the self-management and recommendations for the management of their ailment. The treatment of low back pain an individual self-maintenance program through a web application could mean maintaining of the symptoms, reducing costs in terms of medical care and time work absence. There is little evidence on the reliability of the via Internet-based rehabilitation systems to treat low back pain, the implementation of a clinical and efficient self-maintenance web program is a key priority for the health service in Andalusia.Methods: This protocol describes a double-blind, randomized controlled feasibility trial of a telemedicine program (e-Health intervention) developed to support the self-management of people with chronic low back pain in primary care physiotherapy. Three Hospital with primary care for outpatients will be the units of randomisation, in each Hospital the participants will be randomized to one of two groups, a pragmatic control group receiving either the usual home program based on electrostimulation and McKenzie Therapy and e-Health intervention. Patients are followed up at 2 and 6 months. The primary outcomes are (1) acceptability and demand of the intervention by general practitioners, physiotherapists and patients and (2) feasibility and optimal study design/ methods for a definitive trial. Secondary outcomes will include exploratory analysis and variation in clinical outcomes of pain, disability, fear of movement, quality of life, isometric resistance of the trunk flexors, lumbar mobility in flexion and lumbar segmental range of motion; and the effect of the intervention.Discussion: Through the specific e-Health programs at home, could increase adherence to treatment, patients could learn to control and self-manage the evolution of their low back pain, preventing its evolution to stages of greater pain and disability. If the painful symptomatology improves could be cost-effective healthcare tool that can reach a large number of people living in rural or remote areas.Trial Registration: PC-0185-2017/ NCT04283370. Registered 20 February 2020, https://clinicaltrials.gov/ct2/show/NCT04283370. Recruiting.
Research on HRRP target recognition based on one-dimensional stack convolutional autoencoder

Extracting key features from the radar high resolution range profile (HRRP) determines the accuracy and reliability of radar target recognition. Aiming at the problem of feature extraction and recognition in HRRP target recognition, a one-dimensional stack convolutional autoencoder (1D-sCAE) recognition method is proposed. Firstly, one-dimensional convolutional autoencoder is constructed to extract the deep features of one-dimensional HRRP signals by unsupervised learning. Then, multiple one-dimensional convolutional autoencoders are stacked to construct 1D-sCAE, and HRRP is classified by fine-tuning the network with label data. At the same time, for the overfitting problem of 1D-sCAE, dropout technology is added to optimize and improve the generalization performance. Through the simulated HRRP data of the target in the middle part of the trajectory, the experiment shows that the proposed algorithm has better feature extraction capabilities, higher recognition accuracy and stronger robustness than the typical deep neural networks.
YIELD, PHYSIOLOGICAL QUALITY AND CHEMICAL COMPOSITION OF PHASEOLUS VULGARIS SEEDS, PRODUCED IN THE STATE OF RIO GRANDE DO SUL, BRAZIL

The objective of this study was to evaluate the yield and physiological quality of bean seeds in two agricultural crops, and the chemical composition of seedlings submitted to adverse temperatures during germination. For the field experiment, a randomized block design was used, using five genotypes, BRS Embaixador, IPR Tuiuiú, Guabiju, Carioquinha and Mouro, arranged in four replicates. The experimental units were composed of five lines with five meters in length, where 25 plants were randomly collected per experimental unit to measure the characters of interest. For laboratory testing the seeds produced were submitted to three temperatures (15, 25 and 35°C) during germination under controlled conditions. The evaluated characters were: grain yield, mass of a thousand seeds, germination, first germination count, starch content, soluble sugar, soluble protein and total amino acids. The data were submitted to analysis of variance and later compared by the Tukey test. Yield per plant revealed changes between the agricultural crops, as well as among the genotypes tested. Germination and the first germination count revealed higher magnitudes in seeds produced by BRS Embaixador, IPR Tuiuiu and Carioquinha genotypes. Yield, seed physiological quality and chemical composition of seedlings are influenced by the crop and genotypes tested.
Characteristics of Fecal Indicators in Channels of Johkasou Systems

A johkasou system is getting popular as a decentralized wastewater treatment system in low-density communities. Treated waters of the johkasou systems, which are generally discharged into channels within residential areas before entering the local receiving water body, may contain microbial contaminants. To identify the characteristics of fecal indicators in the channels of the johkasou systems, the concentrations of fecal indicators (F-RNA bacteriophages, GIII F-RNA bacteriophages, Escherichia coli , and total coliforms) were examined both in water and sediment in the channels of three johkasou systems. These fecal indicators were always detected at high levels both in water and sediment in the channels of three johkasou systems through the study period. Significant differences in concentrations of fecal indicators were not observed among three johkasou systems in different residential areas. Concentrations of fecal indicators fluctuated in a day mainly due to domestic activities. Significant positive correlations of total coliforms and E. coli in water with total coliforms and E. coli in sediment suggest the potential importance of sediment on microbial dynamics in the channels of the johkasou systems. No significant correlations of F-RNA bacteriophages with total coliforms and E. coli indicate a specific distribution mechanism for F-RNA bacteriophages.
Non-fragile infinite time control for networked Lipschitz nonlinear system

The non-fragile infinite time control is investigated for networked Lipschitz nonlinear system with quantization and incomplete sensor data in this paper. The state of the system is quantized before transmitted to the controller over the network. The Markov Chain is adopted to describe the transmission process. The non-fragile infinite time controller which makes the system stable and performance index minimum is designed in form of linear matrix inequality. A numerical example is given to demonstrate the effectiveness of the proposed method.
Semantic Segmentation of Urban Street Scene Based on Convolutional Neural Network

Artificial Intelligence (AI) has developed rapidly in recent years, making computer vision a hot spot in recent years. As the core technology of computer vision, semantic segmentation has important theoretical significance and practical application value in the field of computer vision. The research purpose of this technique is to classify each pixel in the image and correctly predict the object category of the pixel, that is, to realize the transformation from pixel to object category. Traditional semantic segmentation algorithms cannot meet the requirements of complex image segmentation, and the requirements of complex image segmentation mechanism are also increasing. Therefore, it is of great significance and application prospect to study semantic segmentation algorithm of image. This paper first introduces the current research status in the field of semantic segmentation at home and abroad, tests and analyzes the CamVid data set with three mainstream algorithms, and finally forecasts the semantic segmentation of images.
Novel scoring function for modeling structures of oligomers of transmembrane α‐helices

Specific non‐covalent interactions between transmembrane (TM) α‐helices are important in a variety of biological processes. Experimental and computational studies have shown that van der Waals interactions play an important role in the tight packing between TM α‐helices, although polar interactions can also be important in some instances. Based on the assumption that van der Waals interaction alone is sufficient for a meso‐scale (residue‐scale) description of the interaction between TM α‐helices, we have designed a novel residue‐scale scoring function for modeling structures of oligomers of TM α‐helices. We first calculated atomistic van der Waals interaction energies between two amino acids, X and Y, of a pair of parallel α‐helices, glycine‐X‐glycine and glycine‐Y‐glycine and compiled them according to three variables, the distance between the two Cα atoms and the rotational angles of X and Y about their helical axes. Upon averaging over the rotational angles, we obtained one‐dimensional interaction energy profiles that are functions of the distance between Cα atoms only. Each of the interaction energy profiles was fitted with a generic fitting function of the distance between Cα atoms, yielding analytical scoring functions for all possible amino acid pairs. For glycophorin A, neu/erbB‐2, and phospholamban, lowest‐energy conformations obtained through exhaustive scanning of the entire conformational space using the scoring functions were compatible with available experimental data. Proteins 2004. © 2004 Wiley‐Liss, Inc.
Functional Properties of Grass Carp (Ctenopharyngodon Idella), Nile Perch (Lates Niloticus) and Nile Tilapia (Oreochromis Niloticus) Skin Hydrolysates

The influence of using an endo-peptidase (alcalase) on the functional properties of hydrolysis products from Nile perch, Grass carp, and Nile tilapia skin was studied. Reaction conditions were controlled at pH 8.25, 60°C, and the enzyme was added on the basis of standard activity units at an enzyme to substrate ratio of 1.7 g/100 g protein. The reaction was allowed to proceed for 85 min and enzyme was inactivated by heat. The soluble protein fractions were recovered and lyophilized. All freeze-dried fish skin hydrolysates powders had a light yellow color and contained up to 90% protein. Nitrogen solubility varied from 95.93 to 98.72% and was not significantly different at 5% probability level. The water and oil holding capacities of the skin hydrolysates were good in the range of 2.8 to 3.2 mL/g and 3.4 to 3.8 mL/g, respectively. Emulsification capacity varied from 11.3 to 21 mL/0.5 g with Nile perch skin hydrolysate having the highest score while Nile tilapia skin hydrolysate was the lowest. Grass carp skin hydrolysate was not able to form stable foam, unlike the Nile perch and Nile tilapia skin hydrolysate. Alcalase treated freshwater fish skin exhibited satisfactory functional properties hence may play an important role as an ingredient in the food and pharmaceutical industry.
The Truth Is Out There: The Prevalence of Conspiracy Theory Use by Radical Violent Extremist Organizations

ABSTRACT This project examined conspiracy theory use across three types of groups: radical violent extremists (RVE), nonviolent extremists, and moderates. Using the theory of significance quest, or the desire for one’s life to have meaning, the current project determined whether RVE groups were more likely to use conspiracy theories and promote loss of significance in violent passages than the other groups. Using text analysis software, researchers coded passages from six groups—two from each level of extremism—for conspiratorial and/or violent content. RVE groups were significantly more likely than the other groups to use conspiracy theories and promote violence. This pattern held for groups focused on radical Islamic fundamentalism as well as white supremacy groups. The pattern was more complex for loss of significance: in violent passages, neo-Nazis were significantly more likely than ISIS and Al Qaeda to promote loss of significance. Implications of the findings are discussed.
Central Cognitive Processing Speed Is an Early Marker of Huntington's Disease Onset

Several studies have suggested that cognitive processing speed may be useful for assessing early cognitive change in premanifest Huntington's disease (HD); however, current measures lack the ability to control for the effects of motor dysfunction commonly found in HD. The Computerized Test of Information Processing (CTiP) is a rapidly administered computerized tool that allows for the examination of central cognitive processing speed by using motor‐corrected scores to account for motor dysfunction.
A Real-time Face Tracking and Recognition System Based on SeetaFace

A real-time face tracking and recognition system is constructed based on Seetaface, and it is proposed to use Gamma correction to reduce the impact of illumination changes on the detection and recognition results. First, the system has face detection function, then by using OpenCV to get the image in front of the camera, the system completes the function of real-time face tracking, users can also upload local images to make face comparison. If a stranger’s face is detected, the system can collect information and train it. The system achieves multiple face tracking as well as recognition. Through the analysis and evaluation on public datasets. The improved face tracking and recognition system has a satisfactory accuracy and performance.
A Review on Deep Learning-Based Approaches for Automatic Sonar Target Recognition

Underwater acoustics has been implemented mostly in the field of sound navigation and ranging (SONAR) procedures for submarine communication, the examination of maritime assets and environment surveying, target and object recognition, and measurement and study of acoustic sources in the underwater atmosphere. With the rapid development in science and technology, the advancement in sonar systems has increased, resulting in a decrement in underwater casualties. The sonar signal processing and automatic target recognition using sonar signals or imagery is itself a challenging process. Meanwhile, highly advanced data-driven machine-learning and deep learning-based methods are being implemented for acquiring several types of information from underwater sound data. This paper reviews the recent sonar automatic target recognition, tracking, or detection works using deep learning algorithms. A thorough study of the available works is done, and the operating procedure, results, and other necessary details regarding the data acquisition process, the dataset used, and the information regarding hyper-parameters is presented in this article. This paper will be of great assistance for upcoming scholars to start their work on sonar automatic target recognition.
Influence of Sodium Lauryl Sulphate on Indomethacin Release Pattern from Zinc-Indcmethacin Complex and Indomethacin Capsules

AbstractA study was carried out to investigate the drug release pattern from zinc-indomethacin capsules with sodium lauryl sulphate (0. 25-1. 0% by weight of indomethacin) using the rotating basket method (USP XXI). The Drug release data failed to follow commonly used kinetic models that could explain the release pattern. Hence, the results were interpreted on the basis of bi-exponential, first-order kinetic model and found a good correlation between calculated and observed values. It showed that sodium lauryl sulphate enhanced both the faster and slower rate constants of the bi-exponential, first-order kinetic model and the percentage of the drug dissolved according to the faster process was increased. Indomethacin capsules with sodium lauryl sulphate showed also a similar release pattern.
A Numerical Study of Railway Ballast Subjected to Direct Shearing Using the Discrete Element Method

Railway ballast is a coarse granular material used to carry train loads and provide drainage for the rail tracks. This study presents numerical explorations of the mechanical performance of ballast aggregates subjected to direct shear tests. The discrete element method (DEM) was used to investigate the microscopic characteristics of ballast aggregates during shearing while considering contact distribution, particle rotation, and particle displacement. By testing the angle of repose of ballast aggregates, the parameters for the DEM contact model could be calibrated. Four specimens were prepared and then subjected to different normal pressures. The results show that the contact between ballast particles intensifies in terms of the amount and magnitude as the normal pressure increases. A Fourier analysis was applied to investigate the anisotropy of contact normal and the contact forces for ballast aggregates at different shearing phases. The rotational and translational movements of ballast particles were investigated, and this investigation revealed that particle rotation gradually increased as the shearing propagated. Four regions in the aggregates were identified according to the translational pattern of ballast particles. The results of this research provide an in-depth analysis of microscopic characteristics from a particulate scale.
Comparing the reduction of poverty rate between China and Gabon through One Belt and Road Project

The value of economic development and reduction of poverty has been at the forefront of research in many countries. However, little is thought about both China-Gabon. Data were collected employing a survey questionnaire approach to a sample of 210 financial sectors in China and Gabon. The results regarding Gabon show that governance reform can bring significant macro-financial benefits. Additionally, the results proposed that financial development significantly influence poverty reduction. Similarly, the results regarding china show development of the monetary sector significantly and positively impact poverty reduction during which, has been implemented for many years long term. This paper seeks to analyze causality between Gabon. There's an urgent need to enhance administration curb corruption order to increase domestic income, strengthen public management quality expenditure, business environment, promote investment both private sectors
The lifetime of minority carriers in polycrystalline semiconductors

The lifetime of minority carriers is studied in polycrystalline semiconductor by use of an one-dimensional nonequilibrium steady-state analysis. The steady-state equation of continuity with a constant carrier generation, obeying the boundary condition for a recombination current at the grain boundary, gives the nonequilibrium distribution of carriers inside the grain. On the base of simple analogy with the nonequilibrium generation of carriers in a crystal an expression for the minority carrier lifetime of polycrystalline semiconductors is derived. It depends on the surface recombination velocity and the grain size. The method presented being exact for the one-dimensional case is compared with approximate approaches based on a homogenous spatial distribution of interface states inside the grain and with the nonequilibrium unsteady-state description of relaxations of nonequilibrium minority carriers. Dans l'article presente nous etudions la duree de vie des porteurs minoritaires dans le semiconducteur polycrystalline d'une dimension a l'aide des analyses stationnaire du non-equilibre. L'equation stationnaire de continuite avec la generation constante des porteurs, obeissant la condition pour le courrant de recombinaison dans la limite du grain, donne la distribution non-equilibre des porteurs dans le grain. A la base de la simple analogie avec la generation des porteurs dans le crystal une expression pour la duree de vie des porteurs minoritaires du semiconducteur polycrystalline est derivee. Il depend de la vitesse de recombinaison et du grandeur des grains. La methode precise, qu'on a presente, est comparee avec les approches approximees qui sont basees a la distribution homogene dans l'espace des etats interfacials et avec la description non-stationnaire non-equilibre des relaxations des porteurs minoritaires.
Chemical Weathering of the Southern Tibetan Plateau: Study the Geochemical Weathering Indices in the Top Soils

Continental chemical weathering has been suggested to affect the concentration of atmospheric carbon dioxide that influences global climate change at different time scales. Various indices for chemical weathering have been adopted to investigate past change in chemical weathering intensity and climate change on oceanic and lacustrine sediment archives. The reliability of the chemical weathering indices has been questioned as most sediments likely originate from multiple types of bedrock that may experience various degrees of chemical weathering and can thus be reliably robust indicators of climate and paleoclimate. Here we present Sr-type (e.g. Rb/Sr Sr/Ba) and Na-type (e.g. CIA CIW PIA CPA) chemical weathering indices for top soils across the southern Tibetan Plateau to discuss the chemical weathering characteristic in the Tibetan Plateau and to examine their response to regional climate variation. The results of chemical indices and the A-CN-K ternary plot show that the southern Tibetan Plateau is under the carbonate control of the primary chemical weathering stage with the cold-dry climate. Correlation analyses show shat Sr-type indices co-vary with mean annual temperature and annual precipitation while Na-type indices show little consistence with regional climate. The climate condition is the dominant control of Sr-type indices of top soils in the study area and the bedrock may be the dominant control for the Na-type indices. We also compared the corresponding indices at a Holocene lacustrine sediment profile in the Qaidam Basin in the northeast Tibetan Plateau with regional climatic records which strongly supports our observation in the top soils. The results of the study suggest that for the relative cold and dry climate in Tibetan Plateau the Sr-type indices are more sensitive to climate condition than Na-type indices. This suggests that the Sr-type indices are likely more suitable than Na-type indices to reflect the change of climate on the Tibetan Plateau. Caution should be taken for using the Na-type indices for reconstructing the past change in climate for the study area.
Knowledge, attitude, practice and clinical recommendations of health care workers towards COVID-19: a systematic review

Abstract Objectives This study aimed to evaluate the knowledge, attitude, practice, and clinical recommendations of health care workers (HCWs) towards COVID-19. Methods In this systematic review study, international databases (Web of Science, PubMed, and Scopus) were searched for the relevant studies published in English from the inception of databases until July 30, 2020. Hoy et al.’s tool was used to evaluate the quality of studies. All search steps, screening, selection of studies, quality assessment, and data extraction were performed separately by two researchers. Results Out of 3460 articles searched, 28 articles conducted on 16,427 HCWs were included in the study. Most of the HCWs had good knowledge (72.2%), a positive attitude (70.9%), and good practice (78.8%) towards COVID-19. The most important clinical recommendation to improve knowledge, attitude, and practice (KAP) was to provide HCWs with a periodic training program regarding COVID-19. The most important source of information for HCWs on COVID-19 was social networks. Conclusions Despite HCWs’ good knowledge, attitude, and practice (KAP), it is recommended to periodically review KAP and carry out further studies in different countries as well. It is also recommended to use social media to improve KAP.