Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of hand bones for bone age assessment

This paper presents a new approach to classifying bones of the hand-wrist images into pediatric stages of maturity using point distribution models (PDM). The method consists of two phases: the training phase and the classification phase. During training, examples of bones from each class are collected so that the allowable shape deformations for each class are learnt. A model representing each class is generated. These models are subsequently used to classify new examples of the bones. During classification all models are compared to the input image and the object is assigned to the class whose model is the closest match. Experimental results obtained using 120 images of the third distal and middle phalanxes showed the usefulness of the method for classifying these bones into their proper stages of maturity.
From Point Cloud Data to Structural Analysis Through a Geometrical hBIM-Oriented Model

The assessment of the structural behavior of historic masonry structures like Gothic cathedrals is an important engineering and architectural issue, because of the economic and cultural relevance of such buildings. In this article, we present a complete numerical methodology for point clouds processing, geometrical and parametric 3D modeling, and finite element structural analysis of the spire of the Cathedral of Senlis, France. Our work highlights the particular difficulties linked with digitization and geometrical modeling of highly complex Gothic structures, as well as the need to find compromises between quality and accuracy of extracted data used for geometrical modeling and structural analysis. The methodology enables the semi-automatic transformation of a three-dimensional points cloud, surveyed through terrestrial laser scanner, into a three-dimensional geometrical historic building information modeling (hBIM)-oriented model, and its use to propose a consistent 3D finite element mesh suitable for advanced structural analysis. A full software chain is integrated in the proposed numerical process, so as to use the most important data contained in the real geometry and accurately transposed in the point clouds. After a successful data processing step with 3DReshaper software that proved to be necessary for enhancement of point clouds, a semi-automated geometrical hBIM-oriented modeling step with Rhinoceros5 software and VisualARQ plugin has allowed the construction of a hybrid model by reverse engineering from the point clouds. This 3D model, containing both geometrical and parametric data of the structure, has been exported to the Hyperworks suite for finite element structural analysis under self-weight. Our computations focused on the estimation of the structure deformation and on the distribution of compression and traction stresses in all components of the complex structure. It is found that the spire is safe. Based on reliable and properly detailed results, our study provides significant information for understanding the behavior of the structure and potential damage monitoring.
Drugs in the Family: The Impact on Parents and Siblings

Problem drug use has a profound impact on all family members. Mothers and fathers, brothers and sisters are caught in the maelstrom that drug problems almost inevitably create. Furthermore, when drugs come into a family, there is the danger that siblings might become involved in problem drug use, thus adding to family problems. This study considered the difficulties confronted by families in trying to respond to and cope with the changes that drug problems had brought about in sons and daughters, brothers and sisters. The research took place in Greater Glasgow and involved 65 qualitative research interviews with problem drug users, parents and younger brothers and sisters. Where possible, these were members of the same family. Additionally, 10 interviews were carried out with practitioners whose area of work was directly or indirectly concerned with problem drug users and their families.
Educational Attainment and Educational Mismatch in the First Employment in Spain

This paper analyses the labour market entry of Spanish school leavers and the match between education and work at the early stages of working life, using a specific data set drawn from the Spanish Module Education to Labour Market Transitions (2000). Special attention is paid to university graduates, because Spain experienced a strong growth in the demand for higher education during the last decades of the 20th century. The empirical evidence shows that although over-education is a common phenomenon in the Spanish youth labour market, being a graduate seems to be associated with a lower likelihood of over-education in the first job. Our results indicate that over-education affects more women than men and foreigners than Spaniards.
[The effects of 16-weeks pilates mat program on anthropometric variables and body composition in active adult women after a short detraining period].

INTRODUCTION previous studies have analysed the effect of mat Pilates practice on anthropometric variables and body composition in sedentaries. To date no researchs have investigated the benefits of Pilates on these variables after a short detraining period. OBJETIVE to determine the effect of a 16-week mat Pilates program on anthropometric variables, body composition and somatotype of women with previous practice experience after three weeks of detraining period. METHOD twenty-one women underwent a complete anthropometric assessment according with ISAK guidelines before and after a 16 week mat Pilates program (two days, one hour). All women had one to three years of mat Pilates experience and came to three weeks of detraining period (Christmas holiday). RESULTS AND DISCUSSION women showed significant decreases for body mass, BMI, upper limb (biceps and triceps) and trunk (subscapular, iliac crest, supraspinale and abdominal) individual skinfolds, 6 and 8 skinfold sums, endomorphy and fat mass; and a significant increases for muscle mass. The mean somatotype was classified as mesomorphic endomorph in the pre- (4.91, 4.01, 1.47) and post-test (4.68, 4.16, 1.69). Eight women changed their somatotype clasification after the intervention program. CONCLUSIONS the practice of mat Pilates for 16 weeks caused changes associated with health state improvements on anthropometric variables, especially on skinfolds which significantly decreased, body composition (fat and muscle masses decreased and increased, respectively) and somatotype (there was a significantly decreased on the endomorph component in experienced women after three week of detraning.
Enhancing Leakage Power in CPU Cache Using Inverted Architecture

Power consumption is an increasingly pressing problem in modern processor design. Since the on-chip caches usually consume a significant amount of power so power and energy consumption parameters have become one of the most important design constraint. It is one of the most attractive targets for power reduction. This paper presents an approach to enhance the dynamic power consumption of CPU cache using inverted cache architecture. Our assumption tries to reduce dynamic write power dissipation based on number of ones and zeros in the in-coming cache block data using bit to indicate is the block is mostly one or zero. This architecture reduces the dynamic write power by 17 %. We use Proteus Simulator to test that proposed circuit and performed the experiments on a modified version of the cacti6.0 simulator.
The effect of probucol on contrast-induced acute kidney injury after coronary catheterization

Objective: this study was to explore whether antioxidant probucol before procedure is able to affect the incidences of CI-AKI in patients undergoing percutaneous coronary catheterization.Methods: In this prospective,single-center,randomized study,280 patients were randomized into two groups: the probucol group(n=143),who received probucol 250mg BID 3 days before procedure,versus control group(n=137),which received routine treatment.The primary endpoint was the incidence of CI-AKI,defined as the elevation of serum creatinine level within 48 hours after contrast medium using 0.5mg/dL(44μmol/ L) or 25 % compared with baseline.Results: Baseline characteristics were very similar between the two groups.The peak levels of serum creatinine level in probucol group was significantly lower than in control group [(82.5±18.1)μmol/L vs.(87.8±19.3)μmol/L,P=0.013]. The incidence of CI-AKI was also significantly deceased by probucol treatment compared with control(7.7% vs.16.8%,P=0.022). Logistic multivariate analysis showed that diabetes,moderate renal insufficiency and contrast medium volume were independent risk factors of CI-AKI.The pre-procedure use of probucol was an independent protective factor for CI-AKI(OR 0.69,95%CI 0.23-0.91,P=0.025). Conclusion: In patients undergoing elective coronary catheterization,pre-procedure treatment of probucol can reduce the risk of CI-AKI.
'Don't mix race with the specialty': interviewing South Asian overseas-trained geriatricians'

The words quoted in the title, ‘Don’t mix with race with the specialty’ were used by a senior South Asian geriatrician, one of over thirty South Asian overseas doctors interviewed during a research project on the experiences of South Asian geriatricians in the UK. These words present us with a quandary: how to under- stand accounts of career progression that ascribe the limitations to their status as elite migrants to the discipline in which they specialised rather than the much vaunted issue of racism within the NHS. This variation from what we expected to hear poses a challenge to analysis of oral history data. The article deals with the quandary in three ways. First it looks at the experience of the multiplicity of differences which this group of migrant doctors recounts. It then shifts to focus on how, within their interviews the experience of racism, is recounted and to what extent it is identified, silenced or subsumed. Finally, the article offers a three-layered analysis of the ways in which these interviews provide insights into how the dilemma presented by a sensitive topic such as race is managed and indeed created in the interview dialogue by migrantsoccupying an elite status.
Design and Implementation of a Remote-Based Journaling File System

The overhead brings by metadata journaling is extra space and performance degrade caused by frequent journal data flush. A journal file system based remote journal scheme was designed and implementation. The remote journal scheme removes the frequent journal I/O activities from local disk to remote server. According to the experiments in this paper, remote journal increases about 8% to 19% performance, but the penalty is light. Although remote journal does need more CPU time for network transfer, the overhead is less than 8%. And the extra network bandwidth taken by remote journal is less than 6% in metadata bound workload.
Supplanting the venom of litigation with alternative dispute resolution: the role of counsellors and guidance professionals

This literature review attempts to interface counselling with alternative legal practice. The authors proceed by contrasting the adversarial nature of litigation with the conciliatory nature of alternative dispute resolution (ADR) with a view to encouraging seekers of dispute resolution to opt for ADR in lieu of litigation. The paper discusses the Ubuntu world view in conflict resolution in relation to ADR practices. While not presenting ADR as a replacement for litigation nor proscribing litigation in itself, this paper prescribes the use of ADR to arrive at settlements that are more satisfactory and longer lasting. The paper finally shows how counsellors and guidance professionals may be involved in ADR processes to effectively give succour to conflicting parties.
Using ERP as Data Source for Discrete-event Simulation Model

The main goal for this thesis was to find out if ERP-systems could be used as a data source for the discrete-event simulation, DES, models. Secondary goals were finding out best practices, creating a practical demonstration and using information from the ERP and DES in the decision support system. The theoretical part of the thesis includes basic information about discrete-event simulation and simulation projects. Current use and possible ways to connect DES-models and ERP-systems were studied from simulation literature and related articles. In a case study, 3DCreate simulation software was used to build a DESmodel of Junttan Oy’s assembly line. Junttan’s ERP-system was connected to a graphical user interface for the simulation model where input data was processed. The user interface also functioned as a decision support system for production planning. This thesis resulted in a practical example on how to link ERP system and a DES model in industrial scale manufacturing environment. This allows using simulation models continuously as part of a decision support system. Additionally, a graphical user interface was developed for input data processing and it also functions as a decision support tool for production planning.
An Analysis of Communities in Different Types of Online Forums

The most important feature of Internet forums is their social aspect. Many forums are active for a long period of time and attract a group of dedicated users, who build a tight social community around a forum. With great abundance of forums devoted to every possible aspect of human activity, such as politics, religion, sports, technology, entertainment, economy, fashion, and many more, users are able to find a forum that perfectly suits their needs and interests. In this paper we introduce a micro-community-based model for descriptive characterization of Internet forums. We show how a simple concept of a micro-community can be used to quantitatively assess the openness and durability of an Internet forum. We also show that our model is capable of producing a taxonomy of Internet forums using unsupervised clustering method. We present the micro-community model, the set of basic statistics, and we apply the model to several real-world online forums to experimentally verify the correctness and robustness of the model.
Object Security for Constrained RESTful Environments (OSCORE)

This document defines Object Security for Constrained RESTful Environments (OSCORE), a method for application-layer protection of the Constrained Application Protocol (CoAP), using CBOR Object Signing and Encryption (COSE). OSCORE provides end-to-end protection between endpoints communicating using CoAP or CoAP-mappable HTTP. OSCORE is designed for constrained nodes and networks supporting a range of proxy operations, including translation between different transport protocols. Although being an optional functionality of CoAP, OSCORE alters CoAP options processing and IANA registration. Therefore, this document updates [RFC7252].
Statistical subspace based damage localization on Saint-Nazaire Bridge mock-up

The subject of damage localization is an important issue for Structural Health Monitoring (SHM) particularly in mechanical or civil structures under ambient excitation. In this paper, the statistical subspace-based damage localization method has been applied on a benchmark application, namely a 1/200 scale model of the Saint-Nazaire Bridge, which is a cable-stayed bridge located on the Loire River near the river's mouth. The employed damage localization method combines data-driven features with physical parameter information from a finite element model in statistical tests, avoiding typical ill-conditioning problems of FE model updating. Damage is introduced in the mockup for cable failures on some of the 72 cables. The purpose of the experiment is to assess the capability of damage assessment methods to find a cable failure.
Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference

Online product rating systems have become an indispensable component for numerous web services such as Amazon, eBay, Google Play Store, and TripAdvisor. One functionality of such systems is to uncover the product quality via product ratings (or reviews) contributed by consumers. However, a well-known psychological phenomenon called “message-based persuasion” lead to “biased” product ratings in a cascading manner (we call this the persuasion cascade). This article investigates: (1) How does the persuasion cascade influence the product quality estimation accuracy? (2) Given a real-world product rating dataset, how to infer the persuasion cascade and analyze it to draw practical insights? We first develop a mathematical model to capture key factors of a persuasion cascade. We formulate a high-order Markov chain to characterize the opinion dynamics of a persuasion cascade and prove the convergence of opinions. We further bound the product quality estimation error for a class of rating aggregation rules including the averaging scoring rule, via the matrix perturbation theory and the Chernoff bound. We also design a maximum likelihood algorithm to infer parameters of the persuasion cascade. We conduct experiments on both synthetic data and real-world data from Amazon and TripAdvisor. Experiment results show that our inference algorithm has a high accuracy. Furthermore, persuasion cascades notably exist, but the average scoring rule has a small product quality estimation error under practical scenarios.
Text News Classification System using Naïve

This paper describes the Naive Bayes text News classification system developed for Punjabi Language. News corpus is used for training and testing purpose of the classifiers. Language specific preprocessing techniques are applied on raw data to generate a standardized and reduced-feature lexicon. Punjabi language is morphological rich language which makes those tasks complex. Statistical characteristics of corpus and lexicon are measured which show satisfactory results of text preprocessing module. We are able to get satisfactory results using Naive Bayes Classifier.
GeoTablet, une application cartographique pour les personnes déficientes visuelles

Qu'il s'agisse du plan d'un quartier ou des frontieres geopolitiques, l'exploration de l'environnement geographique est une difficulte majeure pour les personnes deficientes visuelles. Depuis les annees 1980 differentes applications, plus ou moins instrumentees, proposent des solutions pour apprehender l'espace en l'absence de vision. Aujourd'hui, l'avenement des smartphones et tablettes tactiles, pose de nouvelles questions sur l'accessibilite des interfaces homme machine dediees aux applications geographiques sur des ecrans tactiles standards. Dans ce contexte le projet europeen Haptimap a mis au point un framework fournissant des outils pour gerer les affichages visuels, tactiles et auditifs des donnees geographiques libres. Une premiere application, " Pocket Navigator ", offre un guidage tactile point a point a travers la ville. Le projet GeoTablet consiste a experimenter l'efficacite de differents retours tactiles, auditifs et vocaux en situation mono ou multi contacts pour une simple exploration de l'environnement sur un ecran tactile. Les problematiques de la discrimination des elements, de la navigation dans l'environnement, des changements d'echelle ainsi que de la gestion des couches d'informations constituent l'essentiel de notre questionnement. A la difference d'un poste fixe equipe d'un bras a retours de force, un ecran tactile constitue en lui-meme un espace de mediation geographique exploitable. Cependant, l'absence d'elements tangibles suggere une etroite collaboration entre les contacts des doigts d'une part, et les declenchements des vibrations, des artefacts auditifs et des annonces vocales d'autre part. Cet article vise a evaluer l'utilisabilite ainsi que les representations spatiales interiorisees a partir de differentes combinaisons de ces modalites d'interactions. Actuellement en phase de co-conception avec les utilisateurs, nous presentons notre application "GeoTablet". Nous mettons l'accent sur nos premiers tests et sur la problematique de l'accessibilite des applications geographiques pour les personnes deficientes visuelles.
Hubungan Antara Lebar Dan Panjang Lengkung Gigi Terhadap Tinggi Palatum Pada Suku Jawa Dengan Metode-Pont Dan Korkhaus

Latar Belakang. Setiap ras memiliki ciri-ciri khusus untuk suatu ras tertentu sehingga tidak dapat digunakan sebagai standar untuk ras yang lainnya. Pont dan Korkhaus menggunakan indeks yang didapatkan dari ras Kaukasoid sehingga perlu dilakukan penelitian pada suku Jawa yang tergolong dalam ras Mongoloid. Sering dijumpai pasien dengan palatum tinggi mempunyai lengkung gigi yang panjang dan sempit. Hal itu menandakan adanya hubungan antara tulang kepala, maksila, dan palatum. Tujuan Penelitian. Penelitian ini bertujuan untuk mengetahui nilai indeks lebar lengkung gigi, panjang lengkung gigi, dan tinggi palatum berdasarkan analisis Pont dan Korkhaus dan hubungan lebar dan panjang lengkung gigi terhadap tinggi palatum pada suku Jawa. Metode Penelitian. Penelitian bersifat deskriptif dan analitik. Sebanyak 31 subjek (8 laki-Iaki dan 23 perempuan) diambil dari mahasiswa Fakultas Kedokteran Gigi Universitas Gadjah Mada angkatan tahun 2006-2009 dengan metode selectedsampling. Data diperoleh dari pengukuran pada model studi rahang atas meliputi lebar mesiodistal keempat insisivus, lebar interpremolar, lebar intermolar, panjang lengkung gigi, dan tinggi palatum sesuai dengan parameter yang digunakan oleh Pont dan Korkhaus. Analisis statistik deskriptif, uji t tidak berpasangan, dan uji regresi digunakan untuk menganalisis data yang diperoleh. Hasil Penelltian. Hasil penelitian menunjukkan bahwa suku Jawa mempunyai indeks premolar Pont 82,62 ± 4,41; indeks molar Pont 65,96 ± 4,42; indeks panjang lengkung gigi Korkhaus 163,49 ± 8,02; dan indeks tinggi palatum Korkhaus 36,29 ± 4,42. Hasil penelitian juga menunjukkan bahwa tidak ada korelasi antara lebar dan panjang lengkung gigi terhadap tinggi palatum (p>O,05). Kesimpulan. Tidak terdapat hubungan antara lebar dan panjang lengkung gigi terhadap tinggi palatum berdasarkan metode Pont dan Korkhaus pada suku Jawa.
Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases

There is ongoing research for the automatic diagnosis of Alzheimer’s disease (AD) based on traditional machine learning techniques, and deep learning-based approaches are becoming a popular choice for AD diagnosis. The state-of-the-art techniques that consider multimodal diagnosis have been shown to have accuracy better than a manual diagnosis. However, collecting data from different modalities is time-consuming and expensive, and some modalities may have radioactive side effects. Our study is confined to structural magnetic resonance imaging (sMRI). The objectives of our attempt are as follows: 1) to increase the accuracy level that is comparable to the state-of-the-art methods; 2) to overcome the overfitting problem, and; 3) to analyze proven landmarks of the brain that provide discernible features for AD diagnosis. Here, we focused specifically on both the left and right hippocampus areas. To achieve the objectives, at first, we incorporate ensembles of simple convolutional neural networks (CNNs) as feature extractors and softmax cross-entropy as the classifier. Then, considering the scarcity of data, we deployed a patch-based approach. We have performed our experiment on the Gwangju Alzheimer’s and Related Dementia (GARD) cohort dataset prepared by the National Research Center for Dementia (GARD), Gwangju, South Korea. We manually localized the left and right hippocampus and fed three view patches (TVPs) to the CNN after the preprocessing steps. We achieve 90.05% accuracy. We have compared our model with the state-of-the-art methods on the same dataset they have used and found our result comparable.