Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Motion Prediction Framework for Safe Flexible Robotized Warehouses

With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a priority. Worker safety and system efficiency are paramount in such flexible warehouse systems. Dealing with uncertainties in human motion is one of the challenges that an automated warehouse system must tackle. Given that, it is crucial to ensure that human motion is estimated and predicted precisely and in real time. We define the human motion prediction problem in automated warehouses and propose a simulation framework and method to solve it.
BODY, GENDER AND SEXUALITY AND RECENT MIGRATION OF POLES TO THE UNITED KINGDOM

This article focuses on the constructions around body as gendered and sexualised within recent migration of Poles to the United Kingdom (UK). No attention has generally been paid to the issue of body within migration. Moreover, migration of Poles to the UK attracted a lot of attention among academics; however the gender and sexuality dimension of this migration has been overlooked. Gender and sexuality issues may turn out to be crucial within this migration, as different discourses on gender and sexuality appear to prevail in Poland and the UK and can potentially infl uence views on body1. Around 613,000 Poles have migrated to the United Kingdom since May 2004, when the UK Government decided to open its labour market to the citizens from the new European Union (EU) states (Home Offi ce 2009). Poles migrate, as it appears, from an environment in Poland characterised by more conservative views on gender and sexuality to a more liberal environment in the UK. As the discussions Poles run in the cyberspace show, the body as gendered and sexualised appears to play an important role within this migration. Although Foucault (1991) focused on the body as site of social and cultural regulation and target of power, he did not consider gender dimension of this phenomenon. However, these online discussions mostly focus on female bodies rather than male ones. Therefore, this article uses feminist perspective and examines the infl uence of this migration on discourses around body as gendered and sexualized and its potential to liberate conservative discourses especially on women’s bodies. Bordo (2004) argues that the body is a medium of culture and the body may be seen as a site for investigation into gender and sexuality (Petersen 2003), which this article undertakes. This article uses intersectionality framework as lens to examine issues around body and analyses how specifi c social categories
Motivation for Participating in aWeight Loss Program and Financial Incentives : An Analysis from a Randomized Trial

1 Department of Health Behavior, UNC Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, 1700 Martin Luther King Jr. Boulevard, Campus Box 7294, Chapel Hill, NC 27514, USA 2 Departments of Health Behavior and Nutrition, UNC Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, 1700 Martin Luther King Jr. Boulevard, Campus Box 7294, Chapel Hill, NC 27514, USA 3 Duke-NUS Graduate Medical School Singapore, Singapore 169857
Health benefits of aerobic training . pdf

Aging is intrinsically associated with a progressive decline in muscle strength and mass, and aerobic capacity. This contributes to reduced mobility and impaired quality of life (QoL) among seniors. Regular physical activity, and more particularly aerobic training (AT), has demonstrated benefits on adults’ health. The aim of this review was to assess the current level of evidence regarding the health benefits of AT in the population aged 70 years and over. A comprehensive, systematic database search for manuscripts was performed. Two reviewers independently assessed interventional studies for potential inclusion. Cardiovascular, metabolic, functional, cognitive, and QoL outcomes were targeted. Fifty-three studies were included totalling 2051 seniors aged 70 years and over. Studies selected were divided into 5 categories according to their main outcomes: cardiovascular function (34 studies), metabolic outcomes (26 studies), functional fitness (19 studies), cognitive functions (8 studies), and QoL (3 studies). With a good level of evidence but a wide heterogeneity between study designs, a significant and beneficial effect of AT was measured on the 5 outcomes. For QoL results showed a significant but slighter improvement. This systematic review highlights the benefits of AT on seniors’ health outcome such as cardiovascular, functional, metabolic, cognitive, and QoL outcomes although the optimal program remains unclear. When more studies regarding this specific population are needed to determine the most favourable exercise program, clinicians should nevertheless encourage older adults over 70 to participate in AT programs to favour active and healthy ageing. ã 2016 Elsevier Ireland Ltd. All rights reserved.
Quantitative Estimation of Different Organic Metabolites in Root Knot Nematode ( Meloidogyne Incognita ) Infested and Organically Treated Spinach

The phytonematodes are mostly responsible for treacherous disease symptoms in different crops frequently and extensively resulting in huge losses. Nematodes may damage plants directly or indirectly. In general, the nematode infestation in fields is poly specific, however, depending upon the agro-climatic conditions, one or two species dominates over the rest. Meloidogyne incognita is universally destructive to almost all the plants including vegetables, fruits and some cereal crops. Spinach (Spinacea oleracea) is also found infested by the same. Biocontrol with peels of Citrus aurantifolia (kaghzi neemboo) proved beneficial in controlling the infestation. Various organic metabolites were estimated in root knot nematode infested spinach. Amongst organic metabolites chlorophyll, total carbohydrates, total free amino acids were estimated. Root knot nematode infested spinach was treated with peels of lemon which proved beneficial in terms of increased chlorophyll content. Altered total carbohydrate and total free amino acid content was found with S/4 of lemon peels treated spinach plants.
R 2 RML by Assertion : A Semi-automatic Tool for Generating Customised R 2 RML Mappings

In this paper, we demonstrate the RBA (R2RML By Assertion) tool which automatically generates customized R2RML mappings based on a set of semantic mappings that model the relationship between the relational database schema and a target ontology in RDF. The semantic mappings are specified by a set of correspondence assertions, which are simple to understand.
ANTTI VENHO IMMOBILIZATION OF ARSENIC THROUGH pH CONTROL DURING BIOLEACHING OF NICKEL FLOTATION CONCENTRATE

TAMPERE UNIVERSITY OF TECHNOLOGY Faculty of Science and Environmental Engineering Department of Chemistry and Bioengineering VENHO, ANTTI: Immobilization of Arsenic through pH control during Bioleaching of Nickel Flotation Concentrate Master of Science Thesis, 92 pages October 2012 Major subject: Environmental Biotechnology Examiners: Prof. Jaakko Puhakka and Dr. Minna Peltola
Adsorption Mechanism of Din-butyl Phthalate Easter on Brown Soil and Red Soil

The study aimed to investigate the adsorption mechanism of di-n-butyl phthalate (DBP) on brown soil and red soil in Shenyang and Hunan province, respectively, China. Adsorption kinetics and isotherms experiments were conducted at 288, 298 and 308 K, respectively. Results of kinetics showed that adsorption of DBP exhibited a two-step process in both brown and red soil. Different models were used to simulate adsorption isotherms and the linear form of Freundlich model fitted to the data best. Sorption capacity was larger and sorption intensity was weaker on the brown soil than the red at same temperature. Sorption capacity decreased and sorption intensity enhanced with temperature increased on both soils. In addition, the thermodynamic data were analyzed which suggested that the process was a spontaneous and exothermal process on the two soils. The values of enthalpy changes were around 40 kJ/mol in the two soils, indicating that the dominant affection was physical adsorption. Furthermore the main forces were hydrogen bond and ion exchange proved by thermodynamic data and infrared spectral analyses.
MEDICAL TERMINOLOGY SYSTEMS: A BODY SYSTEMS APPROACH

Basic Elements of a Medical Word Suffixes Prefixes Body Structure Integumentary System Digestive System Respiratory System Cardiovascular System Blood, Lymph, and Immune Systems Musculoskeletal System Urinary System Female Reproductive System Male Reproductive System Endocrine System Nervous System Special Senses Appendices Answer Key Common Abbreviations and Symbols Glossary of Medical Word Elements Index of Genetic Disorders Index of Diagnostic Imaging Procedures Index of Pharmacology Index of Oncological Disorders Index Back Cover Pronunciation Guidelines Rules for Singular and Plural Suffixes.
Bushen-Ditan Decoction , a Chinese medicine formula , attenuates polycystic ovarian syndrome in rat and promotes granulosa cell apoptosis

Polycystic ovarian syndrome (POCS) is a common endocrinopathy in women of reproductive age. Clinical use of Bushen-Ditan Decoction (BDD), a Chinese formula, has achieved favorable effects. The aim of study was to investigate the effect and molecular mechanism of BDD in PCOS rats. SD rats were intervened with estradiol valerate to induce POCS. Successful models rats were randomly divided into 3 groups and treated with BDD, metformin (as western medicine control), and PBS (as negative control). Before and at the end of observation period, blood samples were collected and tested for testosterone (T), estradiol (E2), luteinizing hormone (LH), follicle-stimulating hormone (FSH), fasting blood glucose (FBG), and fasting insulin (FINS). Primary granulose cells were isolated and treated with pharmacological sera. Cellular proliferation and apoptosis were measured by MTT and flow cytometry method, respectively. Activation of Akt signaling pathway was detected by Western blot. The results showed that BDD treatment reduced serum androgen levels and ameliorated homeostasis model assessment of insulin resistance (HOMA-IR). Culture with pharmacological sera inhibited proliferation and promoted advbiomed.0003. 2018 Advances in biology and medicine, 2018,Vol.3(No.1),pp:36-48 37 www.advbiomed. org apoptosis of granulosa cells. The pro-apoptosis role was associated with suppression of insulin-like growth factor (IGF)-1/Akt signaling pathway. In conclusion, BDD can effectively ameliorate the symptoms of PCOS rats. The molecular mechanism can be explained by inhibition of Akt signaling and regulation of cellular proliferation and apoptosis.
Application of Mathematical Models and Sensors for Optimization of Solar Energy Collection Using a Developed Tracking Device

Photovoltaic panels are less efficient when fixed only to a particular angle of inclination with the sun. However, its efficiency improves with the application of a solar tracker which changes the panel orientation automatically in accordance with the sun’s position. In this work an automated solar tracking device was developed, whose control was from either predictive models or sensors signal. The data collected on field were analyzed and the graphical representation was used to determine the most suitable trend. The trends were of Fourier series, linear regression, hyperbolic and exponential function which stands as basis for the predictive models formulated. The most appropriate azimuth and altitude panel orientation were achieved by the developed solar tracking device with the aid of microcontroller and two linear actuators. A programmable intelligent computer (PIC) was used for controlling the linear actuators during cloudy and sunny condition with input signals from the predictive models developed and solar sensors respectively. The correlation coefficient of the models was found to be above 0.95 and 0.92 for azimuth and altitude respectively, indicating high degree of agreement of both predicted and actual angle data. The maximum percentage errors were 4.72% for azimuth and 11% for altitude of the models developed showing an appreciable level of accuracy. The tracker developed has an efficiency of 72.25%. The stationary panel generated a total of 1.458 kW of power stored per day while the average power stored by the tracking panel is 1.916 kW per day. The tracking percentage power gain was estimated to be 46.15% at peak period above the fixed panel from the analysis of the data collected. Keywords— Efficiency: Energy: Models: Optimize: Sensor: Solar: Tracking.
Misclassification in an experimental poverty measure

Richard Bavier is a policy analyst at the Office of Management and Budget, Washington, DC. The views expressed in this article are the author’s personal views and do not represent the views of either the Office of Management and Budget or the current Administration. E-mail: RBavier@omb.eop. gov Among the recommendations and proposals set forth in a 1995 National Research Council (NRC) panel report on measuring poverty,1 perhaps the most controversial was the treatment of medical needs. The panel proposed poverty thresholds that reflected needs for food, clothing, shelter, and “a little more. ” However, the panel concluded that medical needs vary too much to be included in poverty thresholds. Instead, each individual family’s medical out-of-pocket spending is to be subtracted from the family’s actual income and the remainder compared against a poverty threshold that includes nothing for medical needs.2 The panel also proposed the development of a companion “medical care risk index” to “monitor people’s risks of incurring medical care costs that exceed their ability to pay. ”3 According to the NRC panel, if medical needs were included in the new thresholds it proposed, “it would be very easy to make an erroneous poverty classification. ”4 The distribution of medical expenditures is more skewed than the distribution of expenditures for food, shelter, and clothing.5 The panel believed that including typical amounts for medical needs in new poverty thresholds, as it recommends for other needs, would lead some researchers to misclassify as not poor some families that need very expensive medical care and to misclassify as poor other families that happen to need no medical care during the year. The NRC panel’s report did not try to estimate how much misclassification would result from including something for medical needs in the poverty thresholds.6 This article derives such an estimate, using Consumer Expenditure (CE) survey data. The panel recommended the continued use of income as the measure of economic resources in classifying poverty. By contrast, in what follows, expenditures are used as the measure of economic resources in order to perform the misclassification tests.7 As described in more detail subsequently, misclassification is measured when medical outof-pocket spending is subtracted from adjusted total outlays and the remainder is compared against a threshold that includes nothing for medical out-of-pocket spending. Then the same misclassification test is performed when shelter expenditures are subtracted from adjusted total outlays and are compared against a threshold that includes nothing for shelter. Tabulated results show that
HIGH STAKES , AND THE INFLATION OF TEST SCORES 1

There are many reasons to align tests with curricular standards, but this alignment is not sufficient to protect against score inflation. This report explains the relationship between alignment and score inflation by clarifying what is meant by inappropriate test preparation. It provides a concrete, hypothetical example that illustrates a process by which scores become inflated and follows this with more complete discussion of the mechanisms of score inflation and their link to teachers’ responses to high-stakes testing. Policymakers embarking on an effort to create a more effective system less prone to the drawbacks of simple test-based accountability cannot rely solely on alignment and should consider several additional steps: redesigning external tests in other ways to minimize inflation, setting attainable performance targets, relying on multiple measures, and reestablishing a role for professional judgment. Developing more effective alternatives will take us beyond what is well established and will require innovation, experimentation, and rigorous
Estimation of Pharmacokinetic Parameters in Dynamic Contrast Enhanced MRI Via Random Forest Regression

We propose a novel alternative approach to estimate pharmacokinetic (PK) parameters of dynamic contrast enhanced (DCE)MRI. Our approach leverages machine learning field and mainly targets to automatically learn temporal patterns of the voxel-wise concentrationtime curves (CTCs) from a large amount of training samples in order to make accurate parameter estimations. We consider the estimation of parameters as a regression problem and specifically use Random Forest (RF) regression. We demonstrate its potential and utility to improve the conventional model-fitting based quantitative analysis of DCE-MRI especially in various noise conditions, and validate our method on clinical brain stroke datasets.
Computational Analysis of Humour

In this thesis we mainly focus on three major aspects of computational humour recognition. We start with categorizing humour based on the classical theories of humour along with features like theme, emotions and topics. We then look at the problem of recognizing humour in conversations and broadcasted speeches which are more complex and large than short jokes. Finally, we try to differentiate between different types of off-color humour and try to detect insulting remarks from off-colour humour in which dark humour is often misclassified as insulting humour. Most scholarly works in the field of computational detection of humour derive their inspiration from the incongruity theory. Incongruity is an indispensable facet in drawing a line between humorous and non-humorous occurrences but is immensely inadequate in shedding light on what actually made the particular occurrence a funny one. Classical theories like Script based Semantic Theory of Humour(SSTH) and General Verbal Theory of Humour(GVTH) try and achieve this feat to an adequate extent. We adhere to a more holistic approach towards classification of humour based on these classical theories with a few improvements and revisions. Through experiments based on our linear approach and performed on large data-sets of short jokes, we are able to demonstrate the adaptability and show componentizability of our model, and that a host of classification techniques can be used to overcome the challenging problem of distinguishing between various categories and sub-categories of jokes. Almost all the studies done in the field ofcomputational humour recognition has been done on datasets consisting of short jokes, tweets and puns. We try to detect humour in conversations and broadcasted speeches as they are complex and contains more contextual information when compared to short jokes. For the purpose of automatic humour detection in monologues we built a corpus containing humorous utterances of TED talks and for dialogues we analysed data from a popular TV-sitcom Friends whose canned laughter gives an indication of when the audience would react. We classified dialogues/monologues into humorous and non-humorous by using multiple deep learning methods. Our experiments on the data show that such deep learning methods outperform the baseline by 21 accuracy points respectively on the TED Talk dataset. Off colour humour is a category of humour which is considered by many to be in poor taste or overly vulgar. Most commonly, off-colour humour contains remarks on particular ethnic group or gender, violence, domestic abuse, acts concerned with sex, excessive swearing or profanity. Blue humour, black humour and insult humour are types of off-colour humour. Blue and black humour unlike insult humour are not outrightly insulting in nature but are often misclassified because of the presence of insults and harmful speech. We then provide an original data-set consisting of nearly 15,000 instances and a novel
Capacitance of a doubly clamped beam mechanical resonator . Final Project in Introduction to Computational Physics course 118094

2 Doubly-clamped beam oscillator 2 2.1 Device geometry . 2 2.2 Numerical extraction of capacitances . 2 2.3 Triangular mesh construction . 5 2.4 Results . 5
of Statistics No . 2015 : 4 Speeding up MCMC by efficient data subsampling Matias

The computing time for Markov Chain Monte Carlo (MCMC) algorithms can be prohibitively large for datasets with many observations, especially when the data density for each observation is costly to evaluate. We propose a framework where the likelihood function is estimated from a random subset of the data, resulting in substantially fewer density evaluations. The data subsets are selected using an e cient Probability Proportional-to-Size (PPS) sampling scheme, where the inclusion probability of an observation is proportional to an approximation of its contribution to the log-likelihood function. Three broad classes of approximations are presented. The proposed algorithm is shown to sample from a distribution that is within O(m− 1 2 ) of the true posterior, where m is the subsample size. Moreover, the constant in the O(m− 1 2 ) error bound of the likelihood is shown to be small and the approximation error is demonstrated to be negligible even for a small m in our applications. We propose a simple way to adaptively choose the sample size m during the MCMC to optimize sampling e ciency for a xed computational budget. The method is applied to a bivariate probit model on a data set with half a million observations, and on a Weibull regression model with random e ects for discrete-time survival data. Supplementary material is available online.
1 Mobile Crowd Sensing and Computing : The Review of an Emergin g Human-Powered Sensing Paradigm

With the surging of smartphone sensing, wireless networking, and mobile social networking techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising paradigm for cross-space and largescale sensing. MCSC extends the vision of participatory sensing by leveraging both participatory sensory data from mobile devices (offline) and user-contributed data from mobile social networking services (online). Further, it explores the complementary roles and presents the fusion/collaboration of machine and human intelligence in the crowd sensing and computing processes. This paper characterizes the unique features and novel application areas of MCSC, and proposes a reference framework for building human-in-the-loop MCSC systems. We further clarify the complementary nature of human and machine intelligence and envision the potentials of deep-fused human-machine systems. We conclude by discussing the limitations, open issues, and research opportunities of MCSC.
An Efficient Scheme for Detecting Copy-move Forged Images by Local Binary Patterns

Copy-move is one of the most common image tampering method. Many schemes have been proposed to detect and locate the forged regions. However, many existing schemes fail when the copied region is rotated or (cid:13)ipped before being pasted. To solve the problem, this paper presents a new method for detecting the copy-move forgery. The image is (cid:12)rst (cid:12)ltered and divided into overlapping circular blocks. Then the features of the circular blocks are extracted using rotation invariant uniform local binary patterns ( LBP ) . The feature vectors are then compared and the forged regions can be located by tracking the corresponding blocks. Experimental results demonstrate that this method is robust not only to JPEG compression, noise contamination and blurring, but also to region rotation and (cid:13)ipping.