Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method for Obtaining Optimal Path in Angle and Avoiding Collision for Robotic Belt Grinding

The angular variation of the joints may be large, and collision between workpieces and tools may occur in robotic grinding. Therefore, this paper proposes an optimal robotic grinding path search algorithm based on the recursive method. The algorithm is optimized by changing the position of the tool coordinate system on the belt wheel; thus, the pose of the robot during grinding is adjusted. First, the position adjustment formula of the tool coordinate system is proposed, and a coordinate plane is established to describe the grinding path of the robot based on the position adjustment formula. Second, the ordinate value of this coordinate plane is dispersed to obtain the search field of the optimal robotic grinding path search algorithm. Third, an optimal robotic grinding path search algorithm is proposed based on the recursive method and single-step search process. Finally, the algorithm is implemented on the V-REP platform. Robotic grinding paths for V-shaped workpieces and S-shaped workpieces are generated using this algorithm, and a grinding experiment is performed. The experimental results show that the robotic grinding paths generated by this algorithm can smoothly complete grinding operations and feature a smaller angular variation of the joint than other methods and no collision.
Assessment of Level of Dependence and Awareness among Tobacco Users in Jodhpur, Rajasthan

Tobacco use and the subsequent health problems are of major concern today. Tobacco consumption has been identified as the single most preventable cause of death and disease in India. Different studies have proved that tobacco dependency and lack of awareness about harmful effects of tobacco are the major obstacle in the process of quitting the habit. The present study is an attempt to explore the tobacco dependence status and level of awareness among tobacco users in Jodhpur city. A cross sectional study was conducted amongst the general population who participated in various health checkup camps held in different localities of Jodhpur city. The study comprised of 500 subjects. Willingness to quit and awareness level of tobacco use revealed poor response among the subjects. There is an urgent need to take effective steps, especially in launching community awareness and providing clinical and psychological support to overcome tobacco dependence.
Social and Cultural Issues in the Pacific Rim: The Case of International Migration and a Look at Multicultural Planning in Greater Vancouver, British Columbia*

This paper has focused on a case study of multicultural planning in Richmond, a municipality of Greater Vancouver. It illustrates the challenges experienced by local government in Vancouver in response to high levels of in-migration from the Pacific Rim. This in just one of a number of interesting research projects examining the challenges of immigration settlement in Canada carried out by the RIIM-Metropolis Centre of University of British Columbia. International migration across the Pacific Rim has been in the spotlight recently. In Canada, the Asia-Pacific region is now the primary source region for immigration, contributing over half of all immigrants. Hong Kong has been a significant sending country of migrants to Canada in the 1980s and 1990s. The dramatic change in Richmond’s population composition due to Hong Kong migration can be gleaned by population statistics over the 1980s and 1990s. A major social policy challenge facing Richmond at start of the new millennium was the potential isolation of the Hong Kong community from long-term residents of other cultural backgrounds. Contemporary migration patterns in the Pacific Rim are here to stay and are a key factor in our globalizing world. The role of migrant workers, the impact of refugee moments, the consequences of growing irregular movements and increasing emergence of highly skilled migrants are all very significant. What I find interesting is the likely consequences for countries in the Asia-Pacific region. In countries such as Japan and Korea the existing proportion of foreign residents is very low, smaller than in European countries; while it is larger in Singapore and Malaysia. However, the potential for growth is obvious. The Indian sub-continent provides a vast labour reservoir. Economic and political reform in China could open the door for mass labour migration, while setbacks to reform could lead to refugee movements. Indonesia and the Philippines have considerable population growth, and regard labour export as a vital part of their economic strategies. The fast-growing economies of East and Southeast Asia seem certain to pull in large numbers of migrant workers in the future. It is hard to believe that this will not lead to some degree of settlement, with far-reaching social and political consequences. * Paper prepared for presentation at the Six University Symposium First Session: What are the Social and Cultural Issues in the Pacific Rim? Ritsumeikan University, Kyoto, November 19-21, 2003. ** Director, Centre for Japanese Research Associate Professor, Department of Geography, University of British Columbia 1984 West Mall, Vancouver, BC Canada V6T 1Z2. e-mail: edgingtn@geog.ubc. ca. P3 14 4 • Korea Review of International Studies
Finite Equational Axiomatization

This paper confirms a conjecture of Bergstra and Klop’s from 1984 by establishing that the process algebra obtained by adding an auxiliary operator proposed by Hennessy in 1981 to the recursion free fragment of Milner’s Calculus of Communicationg Systems is not finitely based modulo bisimulation equivalence. Thus Hennessy’s merge cannot replace the left merge and communication merge operators proposed by Bergstra and Klop, at least if a finite axiomatization of parallel composition is desired. 2000 MATHEMATICS SUBJECT CLASSIFICATION: 08A70, 03B45, 03C05, 68Q10, 68Q45, 68Q55, 68Q70.
A clinical and genetic study of childhood and adolescent obesity

Purpose Obesity is determined by genetic, environmental, and behavioral factors acting through the physiological mediators of energy intake and energy expenditure. The aim of this study was to define the most characteristic clinical, genetic, anthropometric, and laboratory findings in childhood obesity in an attempt to find the most efficient way to diagnose a genetic cause of obesity. An accurate diagnosis will provide proper genetic counseling concerning the nature, inheritance, recurrence risk, and implications of the disease on health status. Patients and methods All cases were subjected to full history taking, pedigree analysis, anthropometric measurements, and full clinical examination including dysmorphology and pubertal assessment. Endocrinal causes were excluded in this study. Serum leptin and insulin were estimated whenever a monogenic cause of obesity was suspected. Genetic investigations including molecular studies were performed in selected cases. Results This study included 30 obese children and adolescents. Their BMIs were above the 95th percentile for age, with a mean BMI of 35 and a mean BMI standard deviation of +7.26. Among the 30 studied cases, 17 had syndromic obesity (56.67%), seven had familial obesity (23.33%), and six had monogenic obesity (20%). In the six diagnosed cases with monogenic obesity, we detect one novel missense mutation in the leptin LEP gene (N103K) and another novel nonsense mutation in the leptin LEP gene (W121X) as well as missense mutation in the Leptin receptor gene LEPR (P316T). Conclusion and recommendations Although genetic causes of obesity are rare autosomal recessive disorders, the high consanguinity rate in our society will lead to the discovery of a high incidence of monogenic and syndromic obesity. Early screening and regular follow-up for obesity and its complications are particularly indicated for patients with syndromic forms of obesity, together with genetic counseling of the parents.
Challenges and prospects of long jumpers of addisababa city first division athletics clubs

Ethiopian long jumpers’ participation is not as sufficient enough as of middle and long distance runners. Therefore, the main purpose of this study is to investigate the challenges and prospects that affecting long jump discipline in first division athletics clubs of Addis Ababa city Administration. Cross sectional survey research design was employed. The sample of the study was 30 long jump athletes which selected through census sampling technique and 5 clubs managers, 3 sport experts of Addis Ababa city administration which selected by using purposive sampling technique. The data were collected through questionnaire, interview and observation. The collected data were analysed by mean, standard deviation and one sample t-test. The result shows there were lack of facilities and equipment, lack of well-designed talent identification program, low motivational level of athletes were found to be most major challenges of jumping events in first division athletics clubs of Addis Ababa city administration.
SEXUAL HEALTH AMONG COLLEGE STUDENTS

Sex is an integral part of human nature. The basis for life on Earth is dictated by this one act: the ability for an organism to reproduce and pass its own genetic material on to the next generation. Aside from the innate biological basis for sex, intercourse can also occur for many other reasons. Within the realm of ‘sex’ there are various ways for intercourse to occur. Sex is an encompassing term that can refer to vaginal, anal, or oral forms. Like the encompassing nature of sex, the transmission of bacterium and viral agents can occur in any fashion of sex. This literature review examines the varying risk factors associated with sex and the perceptions of sex and sexually transmitted infections (STI) among college students through the analysis of 13 peer reviewed articles and 2 statistical database. The overall findings of this literature review concluded that college students exceedingly partake in risky sexual behaviors and perceive STIs and their negative outcomes differently than younger or older individuals. Risky sexual behaviors, such as unprotected sex and consuming alcohol and drugs in excess, in college students expose individuals to higher chances of contracting an infection and skew the perception of what it means to have an STI. Future studies can focus on methods to change the stigma associated with sexually transmitted infections as well as hypothesize new interventions that could deter the risky behaviors of sex among the college population. STIs and the act of sex should not be perceived as a taboo item in today’s culture but rather an outcome of bad practice of such a natural facet of life. SEXUAL HEALTH AMONG COLLEGE STUDENTS 3 Tables of
Selling autograph manuscripts in 19th c. Paris: digitising the Revue des Autographes

In Paris, the manuscript market appears in the early 20's of the 19th c. Fixed-price catalogues and auction catalogues are regularly published, describing each document in detail. Such descriptions being highly formalised, it is possible to extract and structure them (almost) automatically, and thus create a database of sold manuscripts in 19th c. Paris.
STUDY OF pMOS/nMOS SOI MuGFETs USING 2D NUMERICAL SIMULATIONS AND ELECTRICAL CHARACTERIZATION

The focus of this paper is to present an analysis among double gate transistors for different channel lengths comparing the performance of pMOS and nMOS transistors. The main electrical parameters such as threshold voltage, subthreshold slope, transconductance and DIBL are presented. The results have been obtained to compare the efficiency and the behavior of these different transistors using 2D numerical simulations and electrical characterization. The results show that nMOS transistor with thin silicon film thickness have better performance and reduced short channel effects compared to the pMOS devices.
Effects and optimization of the Particle Swarm Optimization parameters for structural dynamic monitoring of cantilever beam

Nowadays, Particle swarm optimization (PSO) has become a widespread optimization method [1]. However, it is well known that its main parameters (the inertia weight, the two learning factors, the velocity constraint and the population size) have a critical effect on the performances [2,3]. Currently there is still no comprehensive analysis of these parameter selection, especially for solving damage detection problems [4]. Hence, this paper investigates the effects of the PSO parameters for structural dynamic monitoring of the beam structure. First, the effects of the parameters on the performance of the algorithm are studied by simulating damage detection of the beam structure. Then, considering the parameter selection problem as a classical optimization problem, an optimization method is used to determine the best parameter configuration, without any expert experience. Due to the complex interactions between some parameters, it is difficult to find the best combination by relying on single parameter analysis. As a consequence, each parameter configuration is considered as a parameter tuple, and the goal of the optimization algorithm is to find the best tuple. Finally, for the assessment and demonstration of the proposed method, some numerical simulations are achieved in order to detect single and multiple damages in a cantilever beam. The paper systematically investigates the effects of the parameters of the standard PSO for the damage detection problem. The characteristics of the parameters are described as well, and a guideline for determining them is provided.
Design Tradeoff of Hot Carrier Immunity and Robustness in LDMOS with Grounded Gate Shield

LDMOS devices with grounded gate shield structures variations were simulated and tested, aiming to address hot carrier immunity and robustness concurrently. Optimal configuration of grounded gate shield structure was found to reduce local electrical field strength at gate-to-drain overlap for better hot carrier immunity, and to achieve uniform E-field distribution on drain side for robustness as well. Design trade off of hot carrier immunity (HCI) and robustness is analyzed by simulation and silicon data.
Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains

Detecting and monitoring landslides are hot topics in remote sensing community, particularly with the development of remote sensing technologies and the significant progress of computer vision. To the best of our knowledge, no study focused on deep learning-based methods for landslide detection on hyperspectral images. We proposes a deep learning framework with constraints to detect landslides on hyperspectral image. The framework consists of two steps. First, a deep belief network is employed to extract the spectral–spatial features of a landslide. Second, we insert the high-level features and constraints into a logistic regression classifier for verifying the landslide. Experimental results demonstrated that the framework can achieve higher overall accuracy when compared to traditional hyperspectral image classification methods. The precision of the landslide detection on the whole image, obtained by the proposed method, can reach 97.91%, whereas the precision of the linear support vector machine, spectral information divergence, and spectral angle match are 94.36%, 84.50%, and 86.44%, respectively. Also, this article reveals that the high-level feature extraction system has a significant potential for landslide detection, especially in multi-source remote sensing.
Geriatric Pharmacy Issues for Rehabilitation

Medication use is high in the older population. The prevalence of polypharmacy and complex medication regimes coupled with age-related changes makes the older adult prone to experience adverse drug reactions and drug interactions. Changes in pharmacokinetic and pharmacodynamic parameters with age necessitate careful medication management to further decrease adverse consequences. Strategies to address the multifactorial problem of medication compliance in the older population also may minimize the inherent risks of medication use. Rehabilitation professionals should be aware of the special considerations for medication use in the older population to decrease the potential for and occurrence of adverse events.
The Non-Trivialness of Segmental Representations

While a considerable amount of research in phonology in the 1980s and early 1990s centered around theories of phonological representations (such as Autosegmental Phonology, Metrical Phonology and Feature Geometry), with the explicit goal of locating linguistically significant generalisations within a theory of representations, the focus of research shifted with the advent of Optimality Theory to constraint interaction (and thus the theory of phonological operations) as the main or only source of explanatorily adequate generalisations. In much current OT research, representations thus play only a minor role. They exist because constraints are always constraints over representations, but the nature of the representations themselves has frequently been ignored.
Effect of Ti4+ Doping on Structural, Electrical and Magnetic Properties of Ni0.4Cu0.2Zn0.4Fe2-xTixO4 Ferrites

Ti4+ doped Ni0.4Cu0. 2Zn0.4Fe2-xTixO4 (x = 0.0, 0.02, 0.05, 0.07, 0.10) chemical compositions are prepared by conventional solid state reaction technique. The ferrite phase formation has been confirmed from the pattern of XRD. The theoretical density (ρth), bulk density (ρB), and porosity are calculated from the XRD data and using approximate formulas. Value of ρth is found to be greater than the value of ρB indicating the formation of pores inside the bulk specimens. The micro-structural investigation has been done using Field Emission Scanning Electron Microscope and it is found that the average grain size reduces with the increase of Ti content. Saturation magnetization (Ms) also reduces with the increase of Ti content, contrarily remanent magnetization (Mr) and coercivity (Hc) increases with the concentration of Ti in the composition due to the pinning effect. The real part of the initial permeability is found to be maximum for the x = 0.02 sample which could be due to the homogeneity and high density of the sample. For increasing frequency, the dielectric constant and dielectric loss are observed to decrease.
FACE RECOGNITION BASED ON THE PROXIMITY MEASURE CLU STERING

In this paper problems of featureless face recognit ion are considered. The recognition is based on clustering the proximity measures between the di stributions of brightness clusters cardinality for segmented images. As a proximity measure three typ s of distances are used in this work: the Euclidean, cosine and Kullback-Leibler distances. I mage segmentation and proximity measure clustering are carried out by means of a software m odel of the recurrent neural network. Results of the experimental studies of the proposed approach a re presented.
Information Update for Multi-source Remote Estimation in Real-time Monitoring Networks

We study the remote estimation problem with a large number of wireless monitoring devices. As a first step, we model the states of multiple information sources as a multi-dimensional symmetric random walk process, where each source updates its status through costly transmission channel. We formulate the problem as an infinite-horizon optimization problem and consider threshold-based policy that achieves the optimal performance in many network settings. Depending on the situations, it might be possible to update each information source individually, or a group of sources must be updated together. To this end, we investigate the impact of different communication constraints on the performance of the threshold-based policy, and clarify the performance gain of the individual update.
A Correlation Analysis of Indoor Environmental Quality and Indoor Air Quality using IoT

The people who spend most of their time indoors are always threatened by indoor air pollutants. To protect the health of individuals from these threats, the government tried to provide sufficient attention and management of pollutants based on the regulations of government departments and information from various media. However, the concentration of indoor air pollutants can vary depending on the various environmental quality. In this paper, try to analysis the correlation between indoor environmental quality and indoor air quality using IoT devices, and based on this, we propose the criteria for indoor air quality management.
A Time-Frequency Distribution Based Approach for Detecting Tonic Cold Pain using EEG Signals

In this paper, we present a new pain detection approach that analyzes the electroencephalography (EEG) signals using a quadratic time-frequency distribution (QTFD), namely the Wigner-Ville distribution (WVD). The use of the WVD enables to construct a time-frequency representation (TFR) of the EEG signals that characterizes the time-varying spectral components of the EEG signals. To reduce the dimensionality of the constructed WVD-based TFR of the EEG signals, we have extracted 12 time-frequency features that quantify the energy distribution of the EEG signals in the constructed WVD-based TFR. The extracted time-frequency features are used to train a support vector machine classifier to distinguish between EEG signals that are associated with the no-pain and pain classes. To assess the performance of our proposed pain detection approach, we have recorded the EEG signals for 24 participants under tonic cold pain stimulus. The experimental results show that our proposed approach achieved an average classification accuracy of 83.4% in distinguishing between the no-pain and pain classes.
M2-VISD:A Visual Intelligence Evaluation Dataset Based on Virtual Scene*

Most of the existing visual intelligence evaluation datasets like ImageNet or ActivityNet share a common property, namely consisting of many images or videos captured from the real world. This property makes this evaluation datasets suitable for actual applications, but has limitations in achieving the diversity and interactivity of evaluation environments. The currently available datasets do not systematically provide data of different scales and different angles. In order to solve the above problems, this paper constructs a multi-angle and multi-scale data set based on UE4 platform, which can evaluate the performance of the algorithm from both scale and angle in an all-round way. Our experiments show that the algorithms detection performance varies greatly under different scale and different angle. Particularly, in scale-data, when the distance between the camera and the object is less than 50cm or greater than 3200cm, algorithm performance is poor, and in angle-data, the camera’s pitch angle is also poor when it is 18 degree and 0 degree. This result has a guiding role for the correct evaluation of the algorithm performance and provides help for the innovation and optimization of the algorithm.
Profits at the Dawn of Cybercrime-as-a-Service

The growing of Information and Communication Technologies (ICT) that has been experienced in recent years, has led to new and more sophisticated ways of doing business. Consequently, worldwide organized criminal groups have been able to adapt their activities to new trends in the area of information security. In this paper the problem of cyber-crime as a profitable business and the model Cybercrime-as-a-service (CaaS) are exposed. For this purpose, the ransomware, which is one of the threats that have generated more profit in the last two years, is analyzed. This kind of malware is able to block assets in the victim systems and blackmail their owners with their deletion, if they fail to pay a ransom. In this sense, a game theory model of the behavior of actors involved in a ransomware attack is proposed. The proposed model describes the extortion process between the attacker and victim and estimates the probability of payment of ransom.