Miracle-dz/UniFAR-FTUs huggingface dataset:
Bond Graph Modeling and Kalman Filter Observer Design for an Industrial Back-Support Exoskeleton

This paper presents a versatile approach to the synthesis and design of a bond graph model and a Kalman filter observer for an industrial back-support exoskeleton. Actually, the main purpose of developing a bond graph model is to investigate and understand better the system dynamics. On the other hand, the design of the Kalman observer always should be based on a model providing an adequate description of the system dynamics; however, when back-support exoskeletons are considered, the synthesis of a state observer becomes very challenging, since only nonlinear models may be adopted to reproduce the system dynamic response with adequate accuracy. The dynamic modeling of the exoskeleton robotic platform, used in this work, comprises an electrical brushless DC motor, gearbox transmission, torque sensor and human trunk (biomechanical model). On this basis, a block diagram model of the dynamic system is presented and an experimental test has been carried out for identifying the system parameters accordingly. Both the block diagram and bond graph dynamic models are simulated via MATLAB and 20-sim software (bond graph simulation software) respectively. Furthermore, the possibility of employing the Kalman filter observer together with a suitable linear model is investigated. Subsequently, the performance of the proposed Kalman observer is evaluated in a lifting task scenario with the use of a linear quadratic regulator (LQR) controller with double integral action. Finally, the most important simulation results are presented and discussed.
A Review of the Energy Performance and Life-Cycle Assessment of Building-Integrated Photovoltaic (BIPV) Systems

Building integrated photovoltaic (BIPV) technology provides an aesthetical, economic, and technical solution for electricity self-sufficiency in buildings. As one of the most promising technologies for solar energy harvesting in urban areas, BIPV technology provides multiple benefits for buildings, including power generation from renewable energy resources, the replacement of traditional wall cladding, daytime lighting, heating/cooling load reduction, etc. This paper systematically reviews the progress of recent research on the electrical, thermal, optical, and overall energy performances of BIPV systems. Furthermore, based on the literature review on the energy payback time and the greenhouse-gas emission of various BIPV technologies, the research progress of the life-cycle assessment of BIPV systems is also discussed. It is anticipated that the review results can provide meaningful reference and support for the research and development of BIPV technology.
State-ofthe-art behavioral and pharmacological treatments for alcohol use disorder

Background: Alcohol use disorder (AUD) and its associated consequences remain significant public health concerns. Given that AUD represents a spectrum of severity, treatment options represent a continuum of care, ranging from single-session brief interventions to more intensive, prolonged, and specialized treatment modalities. Objective: This qualitative literature review seeks to describe the best practices for AUD by placing a particular emphasis on identifying those practices which have received the most empirical support. Method: This review summarizes psychological and pharmacological intervention options for AUD treatment, with a focus on the relapse prevention phase of recovery. Psychological and pharmacological treatments are summarized in terms of the empirical evidence favoring each approach and the level of AUD severity for which they are most indicated. Scientific significance: One of the broad assertions from this review is that while AUD is highly prevalent, seeking treatment for AUD is not. There are a myriad of behavioral and pharmacological treatments that have shown compelling evidence of efficacy for the treatment of AUD. In the behavioral treatment literature, cognitive behavioral therapy has received the most consistent support. Opioid antagonism (via naltrexone) has been the most widely studied pharmacotherapy and has producedmoderate effect sizes. While none of the treatments reviewed herein represents a so-called silver bullet for AUD, they each have the potential to significantly improve the odds of recovery. Precision medicine, or the identification of best treatment matches for individual patients, looms as an important overarching goal for the field, although specific matches are not yet sufficiently reliable in their empirical evidence to warrant clinical dissemination. ARTICLE HISTORY Received 14 March 2018 Revised 17 September 2018 Accepted 17 September 2018
Association of Leptin and Adiponectin with Risk and Prognosis of Hepatocellular Carcinoma: A Combination of Traditional, Survival and Dose-response Meta-analysis

Background: The association between leptin, adiponectin levels and the risk as well as prognosis of hepatocellular carcinoma has been investigated by an increasing number of studies, but the results were controversial.Methods: A meta-analysis was performed to assess the correlation between leptin, adiponectin levels and risk and prognosis of hepatocellular carcinoma (CRD42020195882). Through June 14, 2020, PubMed, Cochrane Library, Embase databases, Clinicaltrials, and Opengrey were searched, including references of qualifying articles. Titles, abstracts, and main texts were reviewed by at least 2 independent readers. Stata 16.0 was used to calculate statistical data.Results: Thirty studies were included in this meta-analysis and results showed that hepatocellular carcinoma group had significantly higher leptin levels than the cancer-free control group (SMD = 1.83, 95% CI (1.09, 2.58), P = 0.000) , the healthy control group (SMD = 4.32, 95% CI (2.41, 6.24), P = 0.000) and the cirrhosis group (SMD = 1.85, 95% CI (0.70, 3.01), P = 0.002). Hepatocellular carcinoma group had significantly higher adiponectin levels than the healthy control group (SMD = 1.57, 95% CI (0.37, 2.76), P = 0.010), but no statistical difference compared with the cancer-free control group (SMD = 0.24, 95% CI (-0.35, 0.82), P = 0.430) and the cirrhosis group (SMD = -0.51, 95% CI (-1.30, 0.29), P= 0.213). The leptin rs7799039 polymorphism was associated with increased risk of hepatocellular carcinoma (G vs A: OR = 1.28, 95% CI (1.10, 1.48), P = 0.002). There were linear relationships between adiponectin levels and the risk of hepatocellular carcinoma (OR = 1.066, 95% CI (1.03, 1.11), P = 0.001). In addition, the results showed that high/positive expression of adiponectin was significantly related to lower overall survival in hepatocellular carcinoma patients (HR = 1.70, 95% CI (1.22, 2.37), P = 0.002); however, there was no significantly association between the leptin levels and overall survival (HR = 0.92, 95% CI (0.53, 1.59), P = 0.766). Conclusion: The study shows that high leptin levels are associated with a higher risk of hepatocellular carcinoma. Adiponectin levels are proportional to hepatocellular carcinoma risk, and are related to the poor prognosis.
Gender Subtypes: -Is there a difference within gender subtypes regarding competence & warmth?

The aim of this study was to find female and male subtypes in Sweden and measure peoples’ perceptions of their competence and warmth. This was done through a qualitative survey that collected the subtypes, and a quantitative survey which measured opinions on the different subtypes. The results showed there was a significant difference in competence and warmth within female subtypes as well as male subtypes, indicating that people think there are different types of females and males. This could mean that if people were able to choose a gender subtype instead of general gender it will be possible to reduce gender stereotyping.
Electric and magnetic properties of nickel and nickel-plladium nanowires deposited in anodic aluminum oxide template

Structure, electric and magnetic properties of ordered Ni and Ni-Pd nanostructures synthesized by means of electrochemical deposition in porous anodic aluminum oxide templates were investigated. Templates were filled with nickel and nickel-palladium compositions using the alternative current. Matrix parameters (pores diameter and depth) determine the sizes and morphology of the formed metal nanowires. Negative sign of magnetoresistance was observed at T < 50 K and attributed to TMR effect due to variable range hopping carrier transport mechanism. Positive magnitoresistance was observed at T > 100 K and explained by Lorence-like mechanism. The presence of magnetic perpendicular anisotropy towards template plane in synthesized nanostructures was revealed. Demagnetizing factors of individual nanowire in parallel and perpendicular direction towards template plane were determined by magnetic resonance spectroscopy. Revealed increase of coercivity in nanowires containing palladium was explained by the formation of quasimultilayered structure of Ni/Pd nanowires during the ac electrochemical deposition.
Big Data Techniques for Applied Geoscience: Compute and Communicate

Big Data techniques have the potential to be paradigm-changing for applied geoscience if they are used widely. A significant number of such techniques, under the umbrella of Earth informatics, involve Machine Learning applied to high dimensional data to create new forms of value. This contribution presents two case studies of successful Earth informatics computation and the communication of the value of results, which provide insight into the uptake of ‘Big Data’ in geosciences. Machine Learning techniques split naturally into either supervised or unsupervised approaches. Supervised algorithms, such as Random Forests™ (RF), support vector machines or neural networks, share the concept of training a classifier using an initial (training) dataset. They are generally applied to predictive tasks, such as our first case study, predicting lithology from remote sensing and airborne geophysical data. Unsupervised algorithms, such as Self-Organising Maps (SOM), allow patterns inherent in the data to emerge without the use of a training dataset. They are generally applied to tasks which seek to explore patterns in data, such as our second case study, which identifies new potentially prospective river catchments. We find that calculating and presenting explicitly the newly extracted value, of the result obtained through computation, is an essential component of the post-compute evaluation. As strong advocates for the use of a range of Big Data techniques in applied geosciences, we conclude that the benefits to be gained from the way that we ‘compute’ can be lost if we do not also take considerable care with the ways that we ‘communicate’.
Image Based Visual Servoing for Omnidirectional Wheeled Mobile Robots in Voltage Mode

This paper presents a new image based visual servoing (IBVS) control scheme for omnidirectional wheeled mobile robots with four swedish wheels. The contribution is the proposal of a scheme that consider the overall dynamic of the system; this means, we put together mechanical and electrical dynamics. The actuators are direct current (DC) motors, which imply that the system input signals are armature voltage applied to DC motors. In our control scheme the PD control law and eye-to-hand camera configuration are used to compute the armature voltages and to measure system states, respectively. Stability proof is performed via Lypunov direct method and LaSalle's invariance principle. Simulation and experimental results were performed in order to validate the theoretical proposal and to show the good performance of the posture errors.
Formalizing Domain-driven Microservice Design with UML ’ s Profile Mechanism

In the context of Microservice Architecture (MSA), Domain-driven Design (DDD) denotes a model-driven approach for domain decomposition and service identification. However, DDD-based domain models are typically expressed as informal UML class diagrams, which hampers model operations like code generation. As a first step to overcome this limitation, we present a UML profile that formalizes DDD-based domain models and enables domain-driven Microservice design.
Design of high-speed acquisition system based on computer fuzzy image and information data

In order to meet the requirements of fuzzy image display, performance prediction accuracy and collection efficiency in various fields, high-speed acquisition system based on computer fuzzy image and information data was designed in this paper. In the design of this system, the rasterization operation on the fuzzy image data was carried out by the fuzzy image processing module of the system, and the obtained black and white pixel images were rendered. The rendered black and white pixel images were partially and integrally filled with color respectively by the vertex shader and the pixel shader in the color fill module, and the full color image of the obtained fuzzy image was transmitted to the computer monitor for display. Kalman filter was used to process the fuzzy image information data. The final experimental results show that the system designed in this paper has high display effects, accurate behavior prediction and collection efficiency.
Antimicrobial Activity Of Aloe Vera And Opuntia Ficus Extract Against Certain Pathogenic Bacteria

The aim of current study is detect the activity role of Aloe vera and Opuntia ficus extract against certain pathogenic bacteria and evaluation of Aloe vera and O. ficus extract against certain pathogenic bacteria inhibition in vitro. 100 samples were obtained from patients with different diseases at age 6 Mon. to 65 years from both genders. This study was carried out in Lab. of Biology Dept., Science College/Tikrit University, at the period from 1st of June 2019 to end of January 2020. The antimicrobial activity was performed with the agar well diffusion method. The results show the ability of Aloe vera for inhibition of bacteria according on concentration and the concentrations of 100 was caused in inhibitory effect on E. coli, Acinetobacte, S. aureus, S. epidermidis and S. haemolyticus isolates at diameter 13, 12, 11, 9.8 and 15 mm respectively. While, Opuntia ficus extract at 100% concentration was caused in inhibitory effect bacteria isolates at diameter 10, 9.7, 8.2, 7 and 12 mm respectively. The results also show Aloe vera was found to be able for inhibition of bacteria concentration of 40% was caused in inhibitory effect on E. coli, Acinetobacte, S. aureus, S. epidermidis and S. haemolyticus isolates at diameter 14, 12, 11, 9 and 15 mm respectively. While, Opuntia ficus extract at 40% concentration was caused in inhibitory effect bacteria isolates at diameter 11, 10, 8, 7 and 13 mm respectively, while other concentrations 10%, 20, 30% show less inhibitory effect compare with 100% and 40% concentrations
Type Synthesis Principle and Practice of Flexure Systems in the Framework of Screw Theory: Part II—Numerations and Synthesis of Complex Flexible Joints

In recent years, the increasing of application requirements call for development of a variety of high-performance (e.g. large-displacement, high-precision) flexible joints. In this paper we demonstrate how to use the proposed methodology for the type synthesis of flexure systems given in the companion paper to synthesize concepts for complex flexible joints. According to the joint characteristics other than other flexure systems, a basic design philosophy and a general type synthesis process for flexible joints are presented firstly. The numerations and type synthesis for four commonly used flexible joint types, i.e. flexible revolute joints (FRJs), flexible translational joints (FTJs), flexible universal joints (FUJs), and flexible spherical joints (FSJs) are investigated in detail. As a result, not only a variety of known flexible joints are systematically surveyed and classified, but also are some new flexible joints developed. The output of this process is the derivation of a multiple of flexible joint concepts that would then be modeled and optimized by existing modeling and analysis methods.Copyright © 2010 by ASME
La clasificación ISAKOS de las roturas del manguito rotador

RESUMEN Se han descrito muchas clasificaciones del manguito rotador; sin embargo, no existe ninguna que englobe todos los criterios que permitan un diagnóstico y un tratamiento óptimos. Estas clasificaciones deben describir la localización y la forma de la rotura, y tienen que ser reproducibles y validadas por médicos e investigadores. El Comité de Hombro de la International Society of Arthroscopy, Knee and Orthopaedic Surgery (ISAKOS) presenta un sistema de clasificación para el manguito rotador que combina factores cruciales de clasificaciones previas para crear una nueva, sencilla de recordar y que cubra las necesidades de los cirujanos para clasificar mejor las roturas del manguito rotador.
An Efficient and Safe Data Sharing Scheme for Mobile Cloud Computing

As the popularity of cloud computing is increasing, mobile devices at any time can store or retrieve personal information from anywhere. As a result, the issue of data protection in the mobile cloud is becoming increasingly severe and prevents more mobile cloud computing. There are important studies that have been carried out to strengthen the protection of the cloud. Most of them, however, are not applicable to mobile clouds, as mobile devices have restricted computing resources and power. In this paper, I propose a lightweight data sharing scheme (LDSS) for mobile cloud computing. It uses CP-ABE (Cipher text-Policy Attribute-Based Encryption), an access control technology used in basic cloud atmosphere, but changes the structure of access control tree to make it suitable for mobile cloud environments. LDSS moves a large portion of the computational rigorous access control tree transformation in CP-ABE (Cipher text-Policy Attribute-Based Encryption) from mobile devices to external proxy servers. Also, to reduce the user revocation cost, it introduces attribute description fields to implement lazy-revocation, which is a pointed issue in program based CP-ABE (Cipher text-Policy Attribute-Based Encryption) systems. The trial results show that LDSS can effectively lower the overhead on the mobile device side when users are sharing information in mobile cloud environments.
The Adaptation of French Consonant Clusters in Vietnamese Phonology: An OT Account

The phenomenon of phonological adaptation arises due to the segmental, phonotactic, supra-segmental, and morpho-phonological restrictions of the borrowing language. This paper specifically discusses the adaptation of French consonant clusters both in onset and coda positions when borrowed into Vietnamese in the framework of Optimality Theory. The primary objective of the current study is to examine how Vietnamese speakers select repair strategies such as epenthesis or deletion in modifying French words. The adaptation of foreign phonemes supports the role of the Huynh Trang Nguyen (First Author) School of Foreign Languages, Tra Vinh University, 126 National Road 53, Ward 5, Tra Vinh city, Tra Vinh Province, Vietnam Email: htrang@tvu.edu. vn Hemanga Dutta (Corresponding Author) Department of Linguistics and Contemporary English, School of Language Sciences The English and Foreign Languages University, Hyderabad-500007 (EFLU), Hyderabad, India Email: hemangadutta1@gmail.com Received 15 February, 2017; Revised 8 March, 2017; Accepted 18 March, 2017 70 The Adaptation of French Consonant Clusters in Vietnamese Phonology:~ native language. In French loans adapted in Vietnamese, foreign segments not present in the native language, are completely banned. Phonotactic adaptations of illicit syllable structures showed that deletion is the favored option to avoid clusters in the coda position. Onset clusters, which are disallowed in native Vietnamese, are repaired either by the strategy of epenthesis or deletion. The constraint hierarchy for the Vietnamese loan phonology can be presented as follows: OK- >> IDENT-IO (μ) >> MAX-SON >> MAX-Licensed segment >> IDENT-F >> ALIGN-L/ ALIGN-R >> DEP-IO >> MAX-IO.
A Short Text Classification Method Based on Convolutional Neural Network and Semantic Extension

In order to solve the problem that traditional short text classification methods do not perform well on short text due to the data sparsity and insufficient semantic features, we propose a short text classification method based on convolutional neural network and semantic extension. Firstly, we propose an improved similarity to improve the coverage of the word vector table in the short text preprocessing process. Secondly, we propose a method for semantic expansion of short texts, which adding an attention mechanism to the neural network model to find related words in the short text, and semantic expansion is performed at the sentence level and the related word level of the short text respectively. Finally, the feature extraction of short text is carried out by means of the classical convolutional neural network. The experimental results show that the proposed method is feasible during the classification task of short text, and the classification effectiveness is significantly improved.
Open Research The SCUBA-2 Cosmology Legacy Survey: 850 m maps, catalogues and number counts

We present a catalogue of ∼ 3000 submillimetre sources detected ( ≥ 3.5 σ ) at 850 µ m over ∼ 5 deg 2 surveyed as part of the James Clerk Maxwell Telescope (JCMT) SCUBA-2 Cosmology Legacy Survey (S2CLS). This is the largest survey of its kind at 850 µ m, increasing the sample size of 850 µ m selected submillimetre galaxies by an order of magnitude. The wide 850 µ m survey component of S2CLS covers the extragalactic ﬁelds: UKIDSS-UDS, COSMOS, Akari -NEP, Extended Groth Strip, Lockman Hole North, SSA22 and GOODS-North. The average 1 σ depth of S2CLS is 1.2 mJy beam − 1 , approaching the SCUBA-2 850 µ m confusion limit, which we determine to be σ c ≈ 0.8 mJy beam − 1 . We measure the 850 µ m number counts, reducing the Poisson errors on the differential counts to approximately 4 per cent at S 850 ≈ 3 mJy. With several independent ﬁelds, we investigate ﬁeld-to-ﬁeld variance, ﬁnding that the number counts on 0.5 ◦ –1 ◦ scales are generally within 50 per cent of the S2CLS mean for S 850 > 3 mJy, with scatter consistent with the Poisson and estimated cosmic variance uncertainties, although there is a marginal (2 σ ) density enhancement in GOODS-North. The observed counts are in reasonable agreement with recent phenomenological and semi-analytic models, although determining the shape of the faint-end slope ( S 850 < 3 mJy) remains a key test. The large solid angle of S2CLS allows us to measure the bright-end counts: at S 850 > 10 mJy there are approximately 10 sources per square and strongly lensed high-redshift galaxies. All calibrated maps and the catalogue are made publicly available.
Fuzzy Analytical Hierarcy Process (FAHP) Ekspansi Untuk Kerangka Pengukuran Kinerja

Fuzzy Analytic Hierarchy Process (FAHP), Ekspansi, Inovasi Inovasi adalah prioritas atau langkah yang sangat utama bagi sebagian besar perusahaan. Kebutuhan inovasi semakin meningkat terbukti didunia perusahaan saat ini, dan tujuan inovasi adalah untuk menciptakan nilai bisnis pada suatu perusahaan. Terutama perusahaanperusahaan barat diindonesia khususnya dalam menghadapi persaingan yang tinggi karena terus menerus globalisasi. Tentu hal ini membawa fokus untuk membuat inovasi lebih komperehensif agar dapat secara efektif mengelola dan memperbaikinya. Kebutuhan akan inovasi menjadi semakin jelas diindonesia saat ini. Fuzzy Analytic Hierarchy Process (FAHP) Ekspansi adalah teknik terstruktur untuk mengatur dan menganalisis keputusan yang kompleks. Penelitian ini memberikan pedoman umum untuk mengevaluasi hubungan antara kriteria dengan menggunakan Fuzzy Analytical Hierarchy Process (FAHP) CORRESPONDENCE