Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Structured Latent Space Encoding for Part Based Generative Modeling of 3 D Objects

Real-world operation of autonomous systems necessitates modeling and inference in 3D environments, that are complex, varied and highly cluttered. This work achieves increased generalizability through the use of a part based generative surface model that is capable of generating high fidelity surfaces from an un-ordered point cloud. The expectation-maximization algorithm is employed to learn the latent correspondences between the input data and the inferred parts at test-time, enabling the approach to better generalize to unseen parts by focusing on capturing surface patch regularity rather than part distributions.
Inference with Di erence-inDi erences Revisited ∗

A growing literature has focused on inference in di erence-in-di erences (DiD) designs with grouped errors. This literature has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups. We provide Monte Carlo evidence for three points. First, it is possible to obtain tests of the correct size, even with few groups, using methods that are very straightforward to implement. Second, the main problem in DiD designs with grouped errors is instead low power to detect real e ects. Third, feasible GLS estimation combined with robust inference methods can increase power considerably whilst maintaining correct test size again, even with few groups. These ndings are robust to a range of data generating processes. We therefore recommend that applied researchers think seriously about e ciency, rather than just consistency and test size, when using these designs. JEL Classi cation: C12, C21. Mike Brewer, Institute for Social and Economic Research, University of Essex, Colchester, Essex, CO4 3SQ. Thomas F. Crossley, Istanbul Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE. Robert Joyce, Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE. ∗We would like to thank Matthias Parey, Jonathan Shaw, seminar participants at the Institute for Fiscal Studies and the Work Pensions and Labour Economics Group at the University of She eld for helpful comments. All remaining errors are our own. The research was supported by Programme Evaluation for Policy Analysis, a Node of the National Centre for Research Methods supported by the UK Economic and Social Research Council. See http://www.ifs. org.uk/centres/PEPA.
Going Inside the Inner Game : Predicting the Emotions of Professional Tennis Players from Match Broadcasts

The mental side of the game has been one of the most elusive aspects of performance analysis in tennis. We present a framework for predicting seven emotional states relevant to sport (‘anxiety’, ‘anger’, ‘annoyance’, ‘dejection’, ‘elation’, ‘focus’, and ‘fired up’) from the observed facial expressions of players in match broadcasts. Our methodology applies pre-trained models to extract two feature sets: predicted emotions in the Facial Action Coding System and 17 facial action units. Multiple prediction approaches were trained and tested using these features and a labeled dataset of 1,700 facial images of professional male and female tennis players extracted from 505 match videos. We applied the prediction models to establish emotional profiles for the ‘Big 4’ (Roger Federer, Rafael Nadal, Andy Murray, and Novak Djokovic) at the 2017 Australian Open. Rafael Nadal exhibited the most ‘anxiety’ of the four players (32%, 95% CI 29 to 35%), while Roger Federer was the only player whose predominant state was ‘neutral’ (24%, 95% CI 21 to 27%). When the predicted emotions were associated with point outcomes, we found that all of the Big 4 except for Roger Federer showed significant emotional reactions to the outcomes of points. Further, several emotional sates of Rafael Nadal and Novak Djokovic were significantly predictive of their chances of winning the next point. Our framework for extracting emotional data from single-camera video in professional tennis shows the feasibility of bringing the quantitative study of the inner game into sports performance analysis.
Superpixel-based 3 D deep neural networks for hyperspectral image classification

This paper presents a novel hyperspectral image (HSI) classification method to effectively exploit the 3D spectral-spatial information via superpixel-based 3D deep neural networks (3D DNNs). Superpixel can represent the structure of HSI with adaptive sizes and shapes, and therefore, it is incorporated into 3D DNNs to improve the classification performance, especially for noisy classification and boundary misclassification. First, a spatial feature image via superpixel is constructed to increase the spectral-spatial similarity and diversity. Second, a 3D superpixel-based sample filling method is designed to solve the misclassification problem of boundaries. Third, a 3D recurrent convolutional networks (3D RCNNs) are designed to further exploit spatial continuity and suppress noisy prediction. Experimental results on real HSI datasets demonstrate the superiority of the proposed method over several well-known methods in both visual appearance and classification accuracy. © 2017 Elsevier Ltd. All rights reserved. ( T c b a t l a i d i a m f c s a 2 e Y P m s m
Can Crowdworkers be used to Rate the Quality of Ultrasound Images?

The present study examined whether inexperienced individuals can evaluate ultrasonography (US) images using a new rating scale and visual aids. A US image assessment tool and visual aids in the form of alignable comparison standards (one good and one poor example) were developed to rate images of the hepatorenal interface along eight characteristics. Twenty novice participants from Amazon.com’s Mechanical Turk service used the visual aids to evaluate 42 US images in good and poor categories. The results revealed that crowdworkers could distinguish the good from poor US images. Their ratings were highly and positively correlated with those of experts. However, the crowdworkers’ ratings were more severe than those of the experts. These results suggest that inexperienced individuals can use a rating scale and visual aids to reliably distinguish good from poor US images but may require a more extensive set of visual cues or additional training to match ratings provide by experts.
INFESTATION OF NECTRIA HAEMATOCOCCA IN SOIL , A CLUE FOR THE REPLANT DISEASE OF PANAX NOTOGINSENG REVEALED BY 454 PYROSEQUENCING

Panax notoginseng (Burk.) F. H. Chen (Sanchi or Sanqi in Chinese) is a well-known and valuable traditional Chinese herbal medicine, which is currently planted over 20 000 hm with an output value of more than 10 billion RMB per year. However, the replant disease characterized by severe root rot has been becoming a serious problem for the P. notoginseng industry, and the etiology of replant disease in P. notoginseng remains unclear. The microbial communities in the rhizosphere and bulk soils of P. notoginseng that had been planted 1, 2 and 3 years previously were investigated using deep amplicon pyrosequencing and analyzed by principal component analysis (PCA). The microbial communities in the rhizosphere and bulk soils represented 94 253, 18 871 and 15 116 reads that were obtained from archaeal, bacterial and fungal PCR amplicons, respectively. A principal component analysis showed that rhizosphere and bulk soils shared similar archaeal and bacterial communities. While fungal communities were greatly different between bulk and rhizosphere soils, and the fungi in the rhizosphere soils had a high diversity level. Nectria haematococca (asexual name Fusarium solani), the cause of root rot, was found to accumulate as a consequence of the continuous cultivation of P. notoginseng. The accumulation and long-time survival of N. haematococca provides a new clue to investigate the mechanism underling replant disease in P. notoginseng.
TP 53 Gene Polymorphisms ( C . [ 215 G > C ] ) in Breast Cancer Patients and Predisposition to Family Cancers-Single Center Experience

TP53 gene encodes p53 phosphoprotein of 393 amino acids, which is activated by posttranslational modifications [1, 2]. These modifications stabilize p53, intracellular levels rise and p53 is activated as a transcription factor to direct stress-specific transcriptional response pathways, leading to cell cycle arrest, cell senescence or apoptosis [3, 4]. The mutations of TP53 gene lead to protein inactivation which enhances neoplasia potential and impaired responses to therapeutic agents.
Mul scale Ranking for Improved Characteriza on

Ranking is common prac ce in reservoir modeling. Ranking provides a prac cal alterna ve to processing all realiza ons (typically 100 or more) through flow simula on. A large number of realiza ons are generated to account for variability and the consequent uncertainty. Ranking selects a few realiza ons for detailed analysis. Processing the selected realiza ons provides an understanding of the performance of the set of realiza ons. The choice of a ranking index varies depending on the applica on and the complexity of the process. There aremany engineering decisions including the precise placement of the wells that will affect the predicted performance of a realiza on. Therefore, the ranking selec on of realiza ons becomes very specific to well placement. At mes, reservoir post processing and decision making requires knowledge of the performance of reservoir in different local areas aswell as the en re global area simultaneously. In otherwords, mul ple scales of interest exist in the study (e.g., there may be the op on of having mul ple well pairs within a drainage area). Different realiza ons would be selected for a specific quan le, say the P50, for the en re area and different subareas. Nevertheless, there may be a desire to have one realiza on that approximately represents the target quan le for mul ple scales simultaneously. We may want a "P50" realiza on that is close to the P50 for the en re drainage area, while being close to the P50 for each well pair that cons tutes the drainage area. An op miza on process is developed in this paper to select a realiza on that ranks the closest to the required quan le for all ranking areas.
The Utilisation of Portfolios in Demonstrating Nurses ' Clinical Competence and Professional Development : A Review of the Literature

Background: The advancement in the nursing profession requires combining knowledge and clinical skills. The term portfolio in nursing denotes learning from experience andallowing staff members to bridge the theory practice gab in order to demonstrate their clinical competence and professional development. It functions as a tool for reflective thinking and shows critical analytical skills and proof of proficiency. However, in Saudi Arabiaportfolio is not a requirement for nurses to demonstratetheirprofessional statusor to showcase their clinical competence. Scholars from the UK, USA, and Australia suggestthat portfolio acts as an inclusive collection of evidence which might be used to demonstrate individual’s competence and its components could be used to enhance nurses’ skills. Objective: The current review aims to evaluate the utilisation of a portfolio as a tool to demonstrate nurses’ clinical competence in the UK, USA, and Australia. The review then aims to determine whether the result of this review could be applied to nurses in Saudi Arabia. Methods: A number of databases, including MEDLINE, CINAHL, ERIC, Cochrane, and Science Direct, were searched using suitable search terms, such as portfolio and nursing competence. The search was conducted for studies on portfolios and nurses’ clinical competencefrom the UK, USA, and Australia over the last 16 years. The target population is limited to qualified nurses and/or student nurses, and the studiessearchedwere those written in the English language only. PRISMA checklist wasused to extract the data from the included studies. Results:Sixteenpaperswere found to be relevant to thisreview. In this literature review two main themes were identified included: the different approaches to portfolios utilisation in the UK, USA and Australia, and portfolio as a tool for nursing assessment. The included studies suggest that a professional portfolio is a broader declaration of nurses’ competence and should be used to better encourage reflection and bridge the practice-theory gap in nursing practice for nurses’ staff and students. However, portfolios may raise concerns such as time consuming, dishonesty in the written report, or misrepresenting the individual’s level of competence. Conclusions: Professional portfolio in the UK, USA, and Australia represents anappropriate and achievablemanner of competence demonstration and it can be said that portfolio can be potentially applied in Saudi Arabia. However, a professional portfolio mayneed validity testing to support this evidence and further research to investigate its applicability in Saudi Arabia.
Automatic Brain

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A Safety Support System for Children's Antiloss

A Safety Support System for Children’s Antiloss Sai Ram Nellutla In the recent past, crimes against children and the number of the missing children have been stayed at high. It is a tragic disaster for a family if their child is missing. Feeling safe about their children is very important for the parents. Therefore, there is an urgent requirement for safety support systems to prevent crimes against children and for antiloss, particularly when the children are on their own, such as on the ways to and from schools. Thanks to the highly development of telecommunication and mobile technologies, preventive devices such as child ID kits, family trackers have come to light. However, they haven’t been impressive solutions yet as they only track current positions of the children and lack of intimations for the parents when their children are under potential dangers. In this thesis, a data mining framework is introduced, in which secure areas and secure paths of the children are learned based on their location histories. When the system predicts the children to be potentially unsafe (e.g., in a strange area or on a strange route), automatic reports will be sent to their parents. Furthermore, an indoor positioning method utilizing Bluetooth is also proposed. Based on the android platform, a prototype of the application for both children and parents is developed incorporating with the proposed techniques in this thesis.
Personal Practice Acute Bacterial Meningitis

Acute bacterial meningitis (ABM) remains a common life threatening condition in children. In a multicentric survey in India, ABM constituted 1.5% of admissions in pediatric wards and the mean case fatality was 16%(1). Even though the mortality on account of this formidable disease has decreased over the years with the availability of potent antibiotics, a significant number of patients are left with neurological sequelae(2). The ultimate outcome rests on a number of factors besides control of infection and recent research on animal models has given insight into pathogenesis which may lead to development of innovative therapeutic strategies(3,4).
Remote testing and trial of new energy grid-connected power generation for complex data

For the data monitoring, diagnostics and evaluation of new energy grid-connected power generation, multi-source complex data such as real-time operation data and characteristic test data are synchronized into the new energy grid-connected power generation system. And multi-source information fusion technology and online data evaluation method are used to analyze and process the data. On this basis, the establishment of a new energy grid-connected power generation remote test diagnostics system is designed. The real-time curve, test curve and fusion data curve’s simulation waveform and the parameters of simulation credibility were analyzed. The experiment proves the feasibility and rationality of multi-source information fusion and online evaluation method. The system runs stably. And the test data is accurate. It provides the system platform for comprehensive grasp of the grid-connected operation characteristic and the grid-connected test diagnostics information.
Identification of tissue-specific proteins of immunocompetent organs of Sus scrofa isolated in deuterium depleted medium

The results of studies on the identification of tissue-specific biomolecules of Sus scrofa organs isolated in deuterium depleted water are presented. Analysis of the fractional protein composition was carried out using one-dimensional electrophoresis in 12.5% SDSPAGE in PAGE in a VE-10 chamber. Proteomic analysis of the protein-peptide composition was carried out using two-dimensional gel electrophoresis (DEF) of O'Farrell with isoelectro focusing in ampholin (IEF-PAGE). The detection of proteins on two-dimensional electrophoretograms was carried out by Coomassie R-250 staining and silver nitrate. Further, the corresponding sets of peptides were studied by MALDI-TOF MS and MS/MS on the Ultraflex time-of-flight mass spectrometer (Bruker, Germany). In addition, an analysis was made of the efficiency of producing tissue-specific biomolecules using two methods of fractionation, for which extracts were obtained from the immunocompetent organs Sus scrofa (thymus, spleen and mesenteric lymph nodes). Extraction was carried out in a medium with a modified isotopic composition. It has been proved that extraction of proteins, of the studied samples in a solution with a deuterium content low, provides an almost twofold increase in the amount of extracted proteins and peptides. Tissuespecific proteins, directly involved in the formation of innate immunity and responsible for the primary protective reaction of the organism, are revealed.
Factors affecting economic growth enablers of SMME ’ s : a case of tourism-attraction in Durban , South Africa

The paper aimed to reveal the factors that affect Small Medium and Micro Enterprises (SMME’s) in the local government within the tourism destination of the coastal city of Durban of KwaZulu Natal province in South Africa. The City of Durban is regional and major economic player and powerhouse within the tourism, hospitality and leisure value chain and has consecutively hosted Africa Tourism Indaba Conferences for the past five years. This study originates from the continued low level of Total Entrepreneurial Activity (TEA) in terms of SMME participation in the economic mainstream. The literature review looked at those concepts that focus on the economic growth environment that inspire entrepreneurial stimulus especially by the institutional intervention from authorities. The paper employed a quantitative methodology approach for its data collection. A questionnaire was constructed and self-administered by participants. The paper targeted a population of 800 SMME’s in the selected municipality located in KwaZulu-Natal. However, a sample of 260 participants was drawn in the population. All data collected were analysed using the SPSS version 24. The result of the study revealed inter alia, a lack of systematic monetary and non-monetary economic growth enablers which contribute to the SMME prosperity. The recommendations point to the pivotal need for policy-makers and the relevant authorities to level the playing field on behalf of the SMMEs from an economic growth perspective.
Frame Approximation of PseudoInverse Operators

Let T denote an operator on a Hilbert space · · , and let fi i=1 be a frame for the orthogonal complement of the kernel NT . We construct a sequence of operators n of the form n · = ∑n i=1 · g i fi which converges to the psuedoinverse T † of T in the strong operator topology as n → ∞. The operators n can be found using finite-dimensional methods. We also prove an adaptive iterative version of the result. © 2001 Academic Press
Recommender System in Property Business a Case Study from Surabaya , Indonesia

In this paper, we propose a recommender system which can give another recommendation to potential buyer after they declare their interests in one house on sale. These recommendation is made from a weight-set of some criteria, which summarizes from quetionnaire before. This recommender system method is hybrid, a combination between collaborative filtering and content-based filtering. While previous paper mostly use collaborative filtering on items, this recommender system uses collaborative filtering on criteria. It makes this recommender system can operate faster in more items candidate. This recommender system use content-based filtering method to add more accuracy and give more relevancy in the result.
Designing Phase Locked Loop by Design of Experiments

Designing of Phase Locked Loop (PLL) by Design of Experiments (DOE) using Response Surface Methodology (RSM) is presented. Dependence of various design parameters on the three performance characteristics of interest that are Root-Mean-Square-Jitter (RMS-Jitter), Reference Spur level, and Lock time was investigated. Second-order models for RMS-Jitter and Reference Spur level in addition to a first-order with interaction model for Lock time were fitted. Optimization was done to minimize all the three output responses simultaneously using desirability function method and the optimized design was justified experimentally. Experiments were done by simulation using ADIsimPLL provided from Analog Devices. 1
Studies of Thermal Bubble Pump in a Microchannel Lop

In this paper, a novel MEMS-fabricated thermal bubb le pump is proposed. By using thermal capillary effect in a microchannel loop, bubbles are designed to move only in one direction of the loop. In the experiments, microscopic flow visualization is used to study thermal bubble phenomena including nuclea tion, growth, and movement in the microchannel loop. By d riving the heater with a single square-wave signal, bubble nucleates and grows asymmetrically above the heater within a microchannel loop. During heating period, bubble grows only in one direction of micro channel loop. As soon as the heating pulse is turn ed off, an interesting phenomenon is found. Instead of bubb le collapse, bubble moves toward growing direction. Continuous bubble grows and moves periodically when square-wave pulsing signals are applied, Thermal bubble pumping phenomena are achieved successfully in the experiments. The experimental results also found the thermal management along the microchannel loop is the key control parameter. By adjusting background temperature near the heater and the chan nel loop, thermal bubble pulsing pump phenomena can be sustained. Detailed mechanism for pumping force will be discussed in this paper.
Application of “ planting once and harvesting twice ” technique in canola production

Canola production pattern of “Planting Once and Harvesting Twice” (POHT) is to harvest both the bolt as vegetable at elongation stage and oilseed on ripening. In this study, investigation was carried out for the following factors: cultivars, sowing stage, appropriate bolt length for cutting, yield and profit. Results showed that it was suitable to pick 1520cm long stem when the peduncle is 25-30cm high for early-ripen cultivars sowing on Sept.5 in Hubei Province, harvesting 4500kg/ha fresh vegetable valued 4800 CNY and oilseed 2175kg/ha valued 5250 CNY, almost doubled the income of the conventional pattern. The plant height, primary branch and seed number per pod of the pattern were significantly less than that of the conventional by 16.47%, 63.49% and 5.33% respectively. However, the secondary branches and pods per plant were significantly more than that of the conventional by 126% and 7.90%. Maintaining a large number of pods is the key point of POHT to increase the oilseed yield.