Miracle-dz/UniFAR-FTUs huggingface dataset:
Range Image Integration Based on 2D Shape Matching

This paper describes an integration technique of multiple range images. The range image integration is to estimate transfer parameters between two shape data, and it consists of an initial guess and a correction of the parameters. The initial guess process is based on 2D shape integration under a condition that the rotation axis of an object is parallel to one of sensor coordinate axes. After the initial guess, the transfer parameters are corrected using an iterative method. The correction makes the locational setup condition of the sensor and the object easier. This technique does not utilize geometric features but some sampled points which are free from self-occlusion; there is no constraint on the object shape. Experiments for synthesis 2D shape data and real range images show the possibility of practical use.
University of Birmingham Development of a Discrete Choice Experiment (DCE) to Elicit Adolescent-Parent Preferences for Hypodontia Treatment

Objective Our objective was to develop and test a discrete-choice experiment (DCE) survey to elicit adolescent and parent preferences for dental care for hypodontia (a developmental condition where one or more teeth fail to develop). Methods This was a mixed-methods study. Participants were adolescents (aged 12–16 years) with hypodontia and their parents and the dentists providing hypodontia care. Stage one entailed attribute development, as follows. (1) Attribute identification: systematic review of hypodontia literature; interviews with adolescents with hypodontia ( n = 8) and parents ( n = 8); observation of hypodontia clinical consultations ( n = 5); environmental scan of hypodontia patient information resources ( n = 30); and systematic analysis of social media posts ( n = 176). (2) Attribute selection: stakeholder consultation to develop items for a questionnaire; rating and ranking questionnaire for adolescents with hypodontia and parents ( n = 18); further stakeholder consultation. Stage two involved the development of the DCE survey, and stage three included the pre-testing using cognitive interviews with adolescents ( n = 12) and parents ( n = 8) to assess face and content validity. Results The attribute long list included 27 attributes focusing on service delivery and treatment outcome, from which seven ‘important’ attributes were selected for pre-testing. Cognitive interviewing suggested adolescents found the DCE choice tasks challenging to understand; the survey was modified to enhance its acceptability. One attribute was excluded as it showed poor validity with adolescents. Pre-testing suggested DCE choice tasks encouraged thinking and discussion about preferences for treatment. Conclusions Including the target respondent group in all stages of DCE development ensured the final DCE survey was valid and acceptable. DCE methods appear to be a useful tool for exploring joint decision making alongside conventional preference elicitation.
Keyword Search on User-Aware Rare Sequential Topic Patterns in Data Mining

- This work focus on their incorporation of into their data Textual documents created and distributed on the Internet are ever changing in various forms. In this paper, in order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns and formulate the problem of mining User-aware Rare Sequential Topic Patterns in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviors. Most of the existing works are devoted in this topic modeling and they system evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. We present of a group of algorithms then to solve this innovative mining of problem through three phases these are preprocessing to extract topics and identify they sessions for different users, generating all the candidates with (expected) support values for each user by pattern-growth, and selecting by making user-aware rarity analysis on derived . Experiments on both real and synthetic datasets show that our approach can indeed discover special users and interpretable effectively and efficiently, which significantly reflect users’ characteristics.
A Graph-based prediction model with applications

We present a new model for probabilistic forecasting using graph-based rating method. We provide a“forward-looking” type graph-based approach and apply it to predict football game outcomes by simply using the historical game results data of the investigated competition. The assumption of our model is that the rating of the teams after a game day correctly reﬂects the actual relative performance of them. We consider that the smaller the changing of the rating vector – contains the ratings of each team – after a certain outcome in an upcoming single game, the higher the probability of that outcome. Performing experiments on European foot-ball championships data, we can observe that the model performs well in general and outperforms some of the advanced versions of the widely-used Bradley-Terry model in many cases in terms of predictive accuracy. Although the application we present here is special, we note that our method can be applied to forecast general graph processes.
Application Performance in the Frontera Acceptance Process

In 2017 the NSF called for proposals for a High Performance Computing System that would replace its largest system at the time, Blue Waters, located at the National Center for Supercomputing Applications. The solicitation required proposals to include a performance analysis of eleven designated scientific application benchmarks, chosen to be representative of the workload the proposed system was to support. The performance analysis was expected to project time-to-solution improvements for each benchmark on the proposed system over Blue Waters. The projected performance improvements were then required to be used as a metric for sys-tem acceptance. In this paper, we present a candid accounting of the development of the application acceptance criteria used in the Texas Advanced Computing Center’s proposal to this solicitation. We also describe the acceptance testing process on the resulting Frontera system and compare its scientific workload capacity to Blue Waters.
FACTOR MODELS AND VARIABLE SELECTION IN HIGH-DIMENSIONAL REGRESSION ANALYSIS

The paper considers linear regression problems where the number of predictor variables is possibly larger than the sample size. The basic motivation of the study is to combine the points of view of model selection and functional regression by using a factor approach: it is assumed that the predictor vector can be decomposed into a sum of two uncorrelated random components reﬂecting common factors and speciﬁc variabilities of the explanatory variables. It is shown that the traditional assumption of a sparse vector of parameters is restrictive in this context. Common factors may possess a signiﬁcant inﬂuence on the response variable which cannot be captured by the speciﬁc effects of a small number of individual variables. We therefore propose to include principal components as additional explanatory variables in an augmented regression model. We give ﬁnite sample inequalities for estimates of these components. It is then shown that model selection procedures can be used to estimate the parameters of the augmented model, and we derive theoretical properties of the estimators. Finite sample performance is il-lustrated by a simulation study.
Histopathological Analysis of Superficial Lymph Adenopathy in Tertiary Care Hospital

Lymph node enlargement is very common clinical problem l. It can occur in any age group and any site of the body. Detailed clinical history for signs and symptoms, size of lymph nodes, presence of generalized lymphadenopathy and hepatosplenomegaly help to arrive at provisional diagnosis. Various methods are available to examine the superficial lymph nodes like Fine needle aspiration Cytology, But His to pathological examination is a gold standard technique to evaluate the neoplastic and non neoplastic causes. Aim of this study is to statistically analyse the incidence of lymph node lesions in cervical region, axilla, and inguinal region in and around Madurai, Tamil Nadu.
Design of Improved Social Event Story Board from Image Click-Through Data

- Traditional sites had been pushed by human edited situations which lead to big web search traffic. This paper is actually a survey conducted for identifying the different event detection approaches that are beneficial for event mining.While traditional sites can just present human edited functions, in this particular paper weprovide a novel system to immediately identify events from searchlog data and produce storyboards in which the events are actually arranged chronologically. We selected image search log as the source forevent mining, as search logs could even represent people's interests.In order to find happenings from log data, we show a Smooth Nonnegative Matrix Factorization framework (SNMF) that combinesthe info of query semantics, temporal correlations, research logs as well as time continuity. Additionally, we think about the time factoran essential component since many different events will build in various time tendencies. Additionally, to make a media-rich&visually attractive storyboard, each and every event is actually related with a set of representative pictures set up along a timeline. Theserelevant images are instantly selected from image search engine results by analyzing image content features. Celebrities are used by us as our test domain, that takes a great percent of image search traffics.
Applying Neural Network Architecture in a Multi-Sensor Monitoring System for the Elderly

— One of three adults 65 years or older falls every year. As medical science advances, people can live with better health and alone up to a very advanced age. Therefore, to let elderly people live in their own homes leading their normal life and at the same time taking care of them requires new kinds of systems. In this paper, we propose a multi-sensor monitoring system for the fall detection in home environments. The system, which consists of a webcam and heart rate sensor, processes the data extracted from the two different sub-systems by applying neural network n order to classify the fall event in two classes: fall and not fall. Reliable recognition rate of experimental results underlines satisfactory performance of our system.
Diagnosis and Treatment of Abdominal ExtraGastrointestinal Stromal Tumors

Background: To investigate the clinicopathological features and treatment outcome of abdominal extra-gastrointestinal stromal tumors (EGISTs). Methods: The clinicopathological data and follow-up results of 22 patients with abdominal EGISTs proved by pathology were reviewed retrospectively. Results: The main symptoms were abdominal mass in 14 cases, abdominal distention and pain in 6, detected by healthy screening in one, spontaneous rupture of tumor and intra-abdominal hemorrhage in one. The tumor locations were retroperitonum in 11 cases, mesentery in 6, and greater momentum in 3, liver in one and pancreas in one, and the tumor size<5cm in one case, 5-10cm in 9 and >10cm in 12. The immunochemistry stain revealed that the positive rate of CD117 was 95.5%, CD34 36.4%, DOG-1 13.6%, SMA 4.5%, and S-100 protein 4.5%. The resection rate was 81.8% (18/22 cases), including tumor resection in 16, an irregular hepatectomy in one, a distal pancreactomy in one, and simple laparotomy with biopsy in 4. The radicality of operation was R0 resection in 14 cases, R1 resection in 2 and R2 resection in 2. Eleven cases (50.0%) in this group received imatinib adjuvant treatment, including administration greater than 1 year in 6 cases, and greater than 3 years in 5. The 1, 3, 5-year overall survival rates in the study were 88.9% (16/18 cases), 72.2% (13/18), and 55.6% (10/21), respectively. Among them, 72.7% (8/11), 45.5% (5/11) and 45.5% (5/11) were for retroperitoneal tumors, respectively; and 100.0% (6/6), 100.0% (6/6) and 66.7% (4/6) for mesentery EGIST, respectively. Conclusions: Abdominal the choice of the treatment, and the postoperative adjuvant treatment with imatinib may improve the survival rate of high-risk cases. 10cm, this results suggested the most EGISTs were very advanced disease at diagnosis, difficult to diagnose in early stage.
Mitochondria: AGalaxy in theHematopoietic and Leukemic Stem CellUniverse

: Mitochondria are the main fascinating energetic source into the cells. Their number, shape, and dynamism are controlled by the cell’s type and current behavior. The perturbation of the mitochondrial inward system via stress response and/or oncogenic insults could activate several trafficking molecular mechanisms with the intention to solve the problem. In this review, we aimed to clarify the crucial pathways in the mitochondrial system, dissecting the different metabolic defects, with a special emphasis on hematological malignancies. We investigated the pivotal role of mitochondria in the maintenance of hematopoietic stem cells (HSCs) and their main alterations that could induce malignant transformation, culminating in the generation of leukemic stem cells (LSCs). In addition, we presented an overview of LSCs mitochondrial dysregulated mechanisms in terms of (1) increasing in oxidative phosphorylation program (OXPHOS), as a crucial process for survival and self‐renewal of LSCs,(2) low levels of reactive oxygen species (ROS), and (3) aberrant expression of B‐cell lymphoma 2 (Bcl‐2) with sustained mitophagy. Furthermore, these peculiarities may represent attractive new “hot spots” for mitochondrial‐targeted therapy. Finally, we remark the potential of the LCS metabolic effectors to be exploited as novel therapeutic targets. Bcl‐XL Binds Both Bcl‐2 Homology and Helix 1 of Proapoptotic Bax Protein to Inhibit Apoptotic Mitochondrial Permeabilization.
Dynamic Boolean models stochastic processes and their applications

Consider an ordinary Boolean model, that is, a homogeneous Poisson point process in ! Ra, where the points are all centres of random balls with i.i. d. radii. Now let these points move around according to i.i. d. stochastic processes. It is not hard to show that at each fixed time t we again have a Boolean model with the original distribution. Hence if the original model is supercritical then, for any t, the probability of having an unbounded occupied component at time t equals 1. We show that under mild conditions on the dynamics (e.g. for Brownian motion) we can interchange the quantifiers in the above statement, namely: if the original model is supercritical, then the probability of having an unbounded occupied component for all t simultaneously equals 1. Roughly analogous statements are valid for the subcritical regime, under some further mild conditions. © 1997 Elsevier Science B.V.
Arylacetamide deacetylase (AADAC) enzyme: presence and inter-individual variability in human lungs

Human arylacetamide deacetylase (AADAC) is a single microsomal serine esterase involved in the hydrolysis of many acetyl-containing drugs. To date, the presence and activity of the AADAC enzyme in human lungs has been scarcely examined. This study aimed to investigate its gene and protein expression, as well as inter-individual variations in AADAC activities in a large number of human lungs (n=25) using phenacetin as a selective substrate. The kinetic parameters K m and V max were determined. Our findings highlighted a high inter-individual variability both in AADAC mRNA levels and hydrolysis activities. Furthermore, for the first time, we demonstrated the presence of the AADAC protein in various lung samples by means of immunoblotting analysis. As a comparison, phenacetin hydrolysis was detected in pooled human liver microsomes (HLM). Lung activities were much lower than those found in the liver. However, similar K m values were found, which suggests that this hydrolysis could be due to the same enzyme. Pulmonary phenacetin hydrolysis proved to be positively correlated with AADAC mRNA (*p<0.05) and protein (*p<0.05) levels. Moreover, the average values of AADAC activity in smokers was significantly higher than in non-smoker subjects (*p<0.05) and this might have an important role in some drug administration. These findings add information to our knowledge of pulmonary enzymes and could be particularly useful in the design and preclinical development of inhaled drugs.
Referrers Assessing the Quality of Outpatient Diagnostic Imaging Services: Development and Psychometric Evaluation of a Questionnaire

Goal: In order to ensure high-quality cooperation between referring physicians and imaging services, it is important to assess quality of imaging services as perceived by referring physicians. The present study aimed at developing and validating a questionnaire for referrers assessing the quality of outpatient diagnostic imaging services. Material & Methods: The questionnaire was developed on the basis of an instrument originally generated by the Professional Associations of German Surgeons. After pretesting, the instrument was fielded with physicians referring to four outpatient diagnostic imaging services in Switzerland. The results were assessed using descriptive statistics and the final instrument was tested for validity using the concept of known-groups validity. The underlying hypothesis was that physicians referring frequently to services estimated the quality of these services to be higher than physicians that referred less often to the services. The final questionnaire was tested for internal consistency and reliability. Results: Results show a high level of satisfaction of referring physicians with with a total mean score over all items of 4.5 on a 5-point Likert scale but also potential for quality improvement initiatives can be found. The psychometric evaluation of the final questionnaire shows that it is a valid instrument, showing that high-frequency referrers were significantly more satisfied than low-frequency referring physicians with total mean scores of 4.6 compared to 4.4 (p-value 0.019). Further, the instrument proves to be consistent and reliable with a Cronbach's Alpha of 0.96 (95% CI 0.95-0.97). Conclusions: The final instrument presents a valid, consistent and reliable option to assess quality of outpatient diagnostic imaging services as perceived by referring physicians. Results can be used as a basis for quality improvement.
CERN-Solid Code Investigation Proof of Concept, Challenges, and Continuation

Tim Berners-Lee invented the Web to distribute information freely at CERN. The undeniable growth and dependence have created a data exploitation dilemma. Solid is a set of technical reports, an ecosystem, and a movement to regain data sovereignty and empower the users of the Web. CERN deﬁned a project to investigate Solid and how CERN can be involved. The work presented in this paper is tackling part of this project, where the Solid principles will be applied to software at CERN in an experimental approach. Relevant software at CERN and in Solid had been identiﬁed and analyzed. Two Solid apps were developed, evaluated, and analyzed. The work concluded that Solid development is challenging in ﬁelds of Performance and Usability . When every user stores their data, it is difﬁcult for traditional applications to retrieve the data from hundreds of users promptly. Flows of granting access to sensitive information are also still complex and confusing. Solid is maturing but still requires a lot of work and expertise from many professions. CERN is in an ideal situation to extend its collaboration by integrating the decentralized storage into their infrastructure and migrating or creating new applications with Solid principles in mind.
Advancement of Fluorescent Methods for Detection of Nitric Oxide

Biologically Nitric Oxide (NO) is an important inorganic compound involved in numerous signaling pathways, which has promoted the demand for analytical methods for detection of NO. Fluorescent sensing, more effective than any other detection methods, enables monitoring NO in physiological environments such as cell and blood. Fluorescent probes based detection methods have wide applications in selective and sensitive monitoring of NO production in vivo. In this review, we highlight the novel fluorescent NO sensors developed in recent years, including fabrication, analytical characteristics and biological applications.
IL-23Antitumor and Antimetastatic Activity of

The structure and T cell stimulatory effects of the recently discovered cytokine IL-23 are similar to, but distinct from, those of IL-12. Although the antitumor activities of IL-12 are well characterized, the effect of IL-23 on tumor growth is not known. In this study, murine CT26 colon adenocarcinoma and B16F1 melanoma cells were engineered using retroviral vectors to release single-chain IL-23 (scIL-23) to evaluate its antitumor activity. In BALB/c mice, scIL-23-transduced CT26 cells grew progressively until day 26 to an average size of 521 (cid:1) 333 mm 3 , then the tumors started to regress in most animals, resulting in a ﬁnal 70% rate of complete tumor rejection. scIL-23 transduction also signiﬁcantly suppressed lung metastases of CT26 and B16F1 tumor cells. In addition, mice that rejected scIL-23-transduced tumors developed a memory response against subsequent wild-type tumor challenge. Compared with scIL-12-expressing CT26 cells, scIL-23-transduced tumors lacked the early response, but achieved comparable antitumor and antimetastatic activity. These results demonstrated that IL-23, like IL-12, provided effective protection against malignant diseases, but it probably acted by different antitumor mechanisms. As a ﬁrst step in identifying these antitumor mechanisms, tumor challenge studies were performed in immunocompromised hosts and in animals selectively depleted of various lymphocyte populations. The results showed that CD8 (cid:2) T cells, but not CD4 (cid:2) T cells or NK cells, were crucial for the antitumor activity of IL-23. The Journal of Immunology, 2003, 171: 600–607.