Miracle-dz/UniFAR-FTUs huggingface dataset:
A Contemporary Update and Pathology Reporting for Urinary Bladder Cancer

Providing the best management for patients with bladder cancer relies on close cooperation among uro-oncologists and pathologists. The pathologist is involved in the diagnosis and assessment of prognostic and therapeutic factors in bladder biopsies, transurethral resection (TUR) and cystectomy specimens. The pathologist must report accurately the key features using terms that are well understood by clinicians. Adequate clinical information is important to pathologists in deciding the best approach in handling and processing the surgical specimens.
A computer based program to assist in adjuvant therapy decisions for individual breast cancer patients.

Nous decouvrons ici un outil informatique developpe sur micro-ordinateur pour l'aide a la decision en matiere de traitement adjuvant du cancer du sein. Ce logiciel peut faciliter l'amorce du dialogue avec les femmes atteintes d'un cancer du sein, a propos du risque de mortalite par cancer du sein en cas de traitement purement local, sans traitement adjuvant par voie generale ; de la reduction de ce risque que l'on peut attendre d'un traitement adjuvant ; de l'influence d'un traitement adjuvant par voie generale sur la survie. Grâce aux techniques d'analyse des courbes de survie, le logiciel pennet d'obtenir une estimation du pronostic previsible apres introduction : de l'age de la patiente (utilise pour calculer la mortalite liee a d'autres causes) ; du risque estime de mortalite liee au cancer du sein (un logiciel annexe permet au praticien d'utiliser des estimations qui s'appuient sur des bases de donnees de dimension nationale) ; enfin, de l'efficacite presumee de la chimiotherapie adjuvante (d'apres des tableaux d'estimation extraits de la meta-analyse du groupe des Early Breast Cancer Trialists). Les outils informatiques peuvent se reveler de precieux auxiliaires pour l'education des medecins et de leurs patients et contribuer a la prise de decisions dument eclairees.
Contribution of Dermatopathology in the Diagnosis of Cutaneous Diseases in Côte d’Ivoire

Introduction: Dermatopathology is a fundamental complementary examination for the diagnosis of certain skin conditions when the clinic is hesitant. We therefore initiated this work in order to determine the contribution of dermatopathology in the diagnostic management of certain dermatoses at the Treichville University Hospital Centre of Abidjan. Material and methods: This is a cross-sectional descriptive study with data collection from medical records in the dermatology-venereology and pathological anatomy departments of the Treichville University Hospital Centre. Results: We included and analyzed 184 patients with a sex ratio of 1.2. 46.2% of lesions were generalized with 2% mucosal localization. Erythematosquamous lesions (24.45%) and papules (22.82%) were the most biopsied lesions. The single biopsy sample accounted for 71.2% of the cases and the lesion size ranged from 0.5 cm to 10 cm. Biopsy parts of the lesion alone accounted for 65.2% versus 34.8% for those straddling healthy skin and lesion. Histological diagnosis was established in 91.3%. Kaposi disease accounted for 14.9% of cases followed by psoriasis 11.3%. In the case of three diagnostic hypotheses, the concordance was 84.8%. It was 76.6% for two hypotheses mentioned and 52.3% for a single hypothesis. Conclusion: This work shows that in more than half of the cases, the clinical hypotheses and the histological diagnosis match. It suggests however to continue the training of dermatologists to improve the skin biopsies and invites to initiate clinicopathological confrontations to better refine the diagnoses.
Correlation properties for radio channels from multiple base stations to two antennas on a small handheld terminal

It is generally understood that in Rayleigh fading radio channels, sufficient decorrelation for antenna diversity purposes is found at the mobile at antenna separations larger than about /spl lambda//2. However, it has been indicated that with dissimilar antennas with less separation on a small handset, still good diversity gain can be achieved(Pedersen et al. 1999). We present measurements of correlation properties with two similar antennas on our new small measurement handset (Kotterman et al. 2001) (connected by optic fibre, not by conducting cable) of indoor channels at 2140 MHz, including the user. The set-up is with three base stations (BS) simultaneously in order to simulate interference and macro diversity situations. We measured with two types of antennas, monopoles and patches (separation 0.29/spl lambda/ and 0.16/spl lambda/ resp.) in two buildings (old and modern construction) in two different BS configurations, each with up to twelve test users. At the smallest separation of 0.16/spl lambda/ the power correlation between branches remained below 0.83 for the fast fading (median values around 0.5). On the other hand, the slow fading can be strongly correlated between BSs (median value 0.8).
Creating the Semantic Web with RDF: Professional Developer's Guide

From the Publisher: The first state-of-the-art guide for Web developers who need to enable totally new services using metadata This book offers for the first time complete guidance for Web and content developers who use Resource Description Framework (RDF) to create Web services, both wired and wireless, for metadata, or data that is maintained by an application. Written by the W3C Fellow charged with making the W3C XML standard work with other open standards, the book clearly demonstrates how RDF and metadata can greatly improve a users Web experience through richer, better-tailored content. The author explains RDF theory and practice and how it compares to XML and HTML in layman terms and provides source code for several important tools. He includes descriptions of real services, both for the desktop computer and the handheld wireless device, and hands-on examples illustrating how metadata is used to tailor services for users. Explanations of how RDF ties in with intelligent agents are also provided.
Efficacy of Vitamin K as a supplement in Osteoporosis

Osteoporosis is characterized by decreased bone strength, weak skeletal microarchitecture and low BMD. It manifests as pain in weight bearing bones with increased incidence of fractures. Measurement of BMD and serum osteocalcin are 2 of the various methods to diagnose osteoporosis. Various treatment options for osteoporosis have their own side effect profile or failure rate. Certain studies have demonstrated supplementation of vitamin K to enhance effect of anti-osteoporotic treatment. Vitamin K is a fat soluble vitamin involved in Blood coagulation. Blood coagulation is carried out by gamma carboxylation of factors II, VII, IX and X. in the similar manner vitamin K causes Gamma carboxylation of osteocalcin. Osteocalcin is a protein which binds to hydroxyapatite in bone matrix and promotes bone formation. Various studies have been compiled in this article that have demonstrated the beneficial effect of vitamin K in various types of osteoporosis – post menopausal, disuse induced, drug induced.
CHANGE DETECTION IN REMOTE SENSING IMAGES USING CONDITIONAL ADVERSARIAL NETWORKS

Abstract. We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creation. The paper address three types of experiments: change detection in synthetic images without objects relative shift, change detection in synthetic images with small relative shift of objects, and change detection in real season-varying remote sensing images.
A Systematic Review of Observational Studies, Demonstrating Smoking among School Going Adolescents

Objective: To characterize the methods of design and analysis currently adopted in survey research of school-based observational studies for smoking, and to identify the common pitfalls made by researchers. Methods: The systematic review was conducted in 2009 and consisted of observational studies in school settings published between January 2005 and January 2009. Smoking status was the main outcome of interest. Following Cochrane style, five steps were followed: setting selection criteria for studies and conducting a literature search; review of abstracts; review of complete articles; data extraction and quality assessment of included studies; and, finally, synthesis of studies. Results: Of the 292 abstracts retrieved, 45 (15.4%) articles were selected for the final review. Inconsistencies were found in the definition of smoking behaviour which impeded generalisability. Individual-level factors had importance, but environmental level factors were also important in studying the aetiology of smoking. Results showed that studies inappropriately reported sample size estimation and important confounding factors. Hierarchical linear modelling, random effects modelling and structural equation modelling were employed in comparatively few studies. Conclusions: There were concerns regarding data analysis of complex surveys. Fifty five percent of reviewed studies ignored environmental effects which may have produced unreliable inferences. Multi-level analysis assisted in understanding school-level effects.
A User-centric View of Distributed Spatial Data Management Systems

Distributed spatial data management systems (DSDMSs) represent a new technology capable of managing huge volumes of spatial data using parallel and distributed frameworks. An increasing number of DSDMSs have been proposed in the literature, requiring a comparison among them. However, comparisons available in the literature only provide a system-centric view of DSDMSs, which is essentially based on performance evaluations. Thus, there is a lack of comparisons based on the user-centric view, which is aimed to help users to understand how the characteristics of DSDMSs are useful to meet the specific requirements of their spatial applications. In this paper, we fill this gap in the literature. We provide a user-centric comparison of Hadoop-GIS, SpatialHadoop, SpatialSpark, GeoSpark, SIMBA, LocationSpark, SparkGIS, and Elcano, using as a basis an extensive set of criteria related to the characteristics of spatial data handling and to the aspects inherent to distributed systems. Based on this comparison, we introduce a set of guidelines to help users to choose an appropriate DSDMS. We also describe a case study to illustrate the use of these guidelines.
Optimizing Data Retrieval by Using Mongodb with Elasticsearch

More and more organizations are facing with massive volumes of new, rapidly changing data types: structured, semi-structured, unstructured and polymorphic data. The performance for these organizations is directly dependent on the efficiency of data access, data processing, and data management. Data is storing in one environment that is called database. One database should be able to cover all the organizations database needs. Storing, indexing, filtering and returning data on real-time, are four very important issues that affect directly at high performance. But, how to get these features in one database? You can optimize data by using MongoDb combined with Elasticsearch. MongoDb is a NOSQL database for storing big data and returning data on real-time. ElasticSearch is the best for indexing and filtering data. The purpose of this paper is to demonstrate combination of using MongoDb with Elasticsearch for optimize data and how to evaluate their performance according to the typical use for storing and retrieving data. This demonstration is focus on creating a “Data warehouse” for Agricultural products in Albania.
Optimization of quality measures in association rule mining: an empirical study

In the association rule mining field many different quality measures have been proposed over time with the aim of quantifying the interestingness of each discovered rule. In evolutionary computation, many of these metrics have been used as functions to be optimized, but the selection of a set of suitable quality measures for each specific problem is not a trivial task. The aim of this paper is to review the most widely used quality measures, analyze their properties from an empirical standpoint and, as a result, ease the process of selecting a subset of them for tackling the task of mining association rules through evolutionary computation. The experimental analysis includes twenty metrics, thirty datasets and a diverse set of algorithms to describe which quality measures are related (or unrelated) so they should (or should not) be used at time. A series of recomendations are therefore provided according to which quality measures are easily optimized, what set of measures should be used to optimize the whole set of metrics, or which measures are hardly optimized by any other.
Mobile Game Design for Learning Chemical Bonds with Endless Run Approach

This research focuses on the design of a mobile application game that uses endless run method to learn chemistry concept of chemical bonds, its design is analyzed thoroughly. Application-based learning is one of the method of learning that has been proven to be effective, however, previous studies focuses on the elements of serious gaming that neglects the fun elements in the game itself, disdaining the nature of a game. This research aims to discover the relevance of player happiness and fun level based when playing an educational game and its correlation with the level of learning while also focuses on understanding what hinders a player in the context of chemistry-based games. The testing planning are exposed along with a hypothesis that player happiness positively correlates with its level of learning, while the hindrance can be identified by using statistical approach.
Association Learning inspired by the Symbol Grounding Problem

The Symbol Grounding Problem (SGP) is one of the first attempts to proposed a hypothesis about mapping abstract concepts and the real world. For example, the concept "ball" can be represented by an object with a round shape (visual modality) and phonemes /b/ /a/ /l/ (audio modality). This thesis is inspired by the association learning presented in infant development. Newborns can associate visual and audio modalities of the same concept that are presented at the same time for vocabulary acquisition task. The goal of this thesis is to develop a novel framework that combines the constraints of the Symbol Grounding Problem and Neural Networks in a simplified scenario of association learning in infants. The first motivation is that the network output can be considered as numerical symbolic features because the attributes of input samples are already embedded. The second motivation is the association between two samples is predefined before training via the same vectorial representation. This thesis proposes to associate two samples and the vectorial representation during training. Two scenarios are considered: sample pair association and sequence pair association. Three main contributions are presented in this work. The first contribution is a novel Symbolic Association Model based on two parallel MLPs. The association task is defined by learning that two instances that represent one concept. Moreover, a novel training algorithm is defined by matching the output vectors of the MLPs with a statistical distribution for obtaining the relationship between concepts and vectorial representations. The second contribution is a novel Symbolic Association Model based on two parallel LSTM networks that are trained on weakly labeled sequences. The definition of association task is extended to learn that two sequences represent the same series of concepts. This model uses a training algorithm that is similar to MLP-based approach. The last contribution is a Classless Association. The association task is defined by learning based on the relationship of two samples that represents the same unknown concept. In summary, the contributions of this thesis are to extend Artificial Intelligence and Cognitive Computation research with a new constraint that is cognitive motivated. Moreover, two training algorithms with a new constraint are proposed for two cases: single and sequence associations. Besides, a new training rule with no-labels with promising results is proposed.
Introducing Λ for Measuring Cognitive Consciousness

In this brief work-in-progress document we introduce Λ, a new and novel framework for measuring cognitive consciousness that stands in dramatic contrast with the longstanding Φ of Tononi (2012), which gives a measure of phenomenal consciousness. Our plan herein is straightforward: First, we quickly distinguish between these two radically different types of consciousness (§2). Because Λ is erected atop a distinctive foundation developed by us, we rapidly describe three salient parts of this foundation (§3). In §4 we give a glimpse of the technical side of Λ, and rely there on an example of moral cognitive consciousness. The penultimate section, 5, lists a few distinctive properties (corresponding to underlying theorems) of the Λ framework; and then we wrap up with a concluding remark.
Implementing Authentication (LAP) and Monitoring in Healthcare Information Systems

Throughout the healthcare domain, paper records and forms are being supplanted by electronic records, which are now routinely transmitted over intranets (within organizations), extranets (between organizations) and the Internet (to multiple organizations, worldwide). The potential for greater efficiency, lower costs and enhanced quality of care afforded by electronic versus paper-based records and communication in healthcare is vast. Electronic messaging is quickly becoming the standard for transmitting information in the healthcare industry. The security of transmitted information is a very critical issue. In this article, we report on the development of a Lightweight Authentication Protocol (LAP), which makes a mobile and distributed system more secure and flexible, and we implement it in a healthcare environment where the clinicians use mobile and wireless devices like PDAs. The implementation scenario and the special characteristics of healthcare information systems are described in detail. We also propose a monitoring system that involves patient credentials in order to monitor doctor access to the medical records. Our work shows that it is possible for a PDA to have access to a system like a healthcare Web database system with reasonable performance according to the theoretical analysis.
On Some Characterizations of Antipodal Partial Cubes

Abstract We prove that any harmonic partial cube is antipodal, which was conjectured by Fukuda and K. Handa, Antipodal graphs and oriented matroids, Discrete Math. 111 (1993) 245–256. Then we prove that a partial cube G is antipodal if and only if the subgraphs induced by Wab and Wba are isomorphic for every edge ab of G. This gives a positive answer to a question of Klavžar and Kovše, On even and harmonic-even partial cubes, Ars Combin. 93 (2009) 77–86. Finally we prove that the distance-balanced partial cube that are antipodal are those whose pre-hull number is at most 1.
The Second Neighbourhood for Bipartite Tournaments

Abstract Let T (X ∪ Y, A) be a bipartite tournament with partite sets X, Y and arc set A. For any vertex x ∈ X ∪Y, the second out-neighbourhood N++(x) of x is the set of all vertices with distance 2 from x. In this paper, we prove that T contains at least two vertices x such that |N++(x)| ≥ |N+(x)| unless T is in a special class ℬ1 of bipartite tournaments; show that T contains at least a vertex x such that |N++(x)| ≥ |N−(x)| and characterize the class ℬ2 of bipartite tournaments in which there exists exactly one vertex x with this property; and prove that if |X| = |Y | or |X| ≥ 4|Y |, then the bipartite tournament T contains a vertex x such that |N++(x)|+|N+(x)| ≥ 2|N−(x)|.
Effects of Parental Child-rearing Attitudes on Adolescents' Aggressiveness: Mediation Effects of Peer Attachment

This study aimed to verify the effects of parental chid-rearing attitudes on adolescents’ aggressiveness and the mediation effects of peer attachment. To this end, the 7th year data (2016) (4th grade to the first year of high school) of Korea Children & Youth Panel Survey (KCYPS) were used. The results of this study are as follows: First, the correlations between child-rearing attitudes, aggressiveness, and peer attachment variables were confirmed. Second, parental child-rearing attitudes significantly affected adolescents’ aggressiveness. Third, peer attachment showed some mediation effects in terms of the effects of parental child-rearing attitudes on adolescents’ aggressiveness. For the significance verification of the mediation effects, the Sobel test was carried out. The results of this study are meaningful as empirical foundation. Based on the study results, this study suggested the need of education programs for parents and peer attachment consolidation programs for adolescents in relation with social welfare mediation practice. ■ keyword :∣Child-rearing Attitudes∣Aggressiveness∣Peer Attachment∣Mediation Effects∣ * 본 연구는 2017학년도 경기대학교 대학원 연구원장학생 장학금 지원에 의하여 수행되었음 접수일자 : 2018년 01월 05일 수정일자 : 2018년 01월 25일 심사완료일 : 2018년 01월 29일 교신저자 : 김형모, e-mail : hkim66@hanmail.net 부모의 양육태도가 청소년의 공격성에 미치는 영향: 또래애착 매개효과 643
A Novel Authentication Mechanism to Prevent Unauthorized Service Access for Mobile Device in Distributed Network

The growth of distributed computer networks (DCN) is simple for the user to share information and computing capabilities with the host. User identification is an essential access control mechanism for the client-server networking architecture. The perception of single sign-on allows a legitimate user to access a different service provider on a DCN using a single session key. Recently, several user identification techniques being proposed for DCN. Unfortunately, the existing proposals cannot maintain user anonymity when the majority of probable attacks. In addition, the further time synchronization mechanism they use can result in widespread overhead costs. To overcome these shortcomings, we propose a novel authentication mechanism to prevent unauthorized service access for a mobile device in distributed networks. The mechanism implements methods to generate securely encrypted keys using RSA algorithm to validate the authentication of user login id and password. Later, it implements a secure session key generation using DH algorithm which allows accessing the different services without repeating the authentication mechanism. An experimental evaluation was performed to measure execution time overhead for the registration process, an authentication process, session key generation process and Service Request Performance. The comparison results with existing authentication mechanism show an improvisation in all the measures.
Efficient Exploration for Constrained MDPs

Given a Markov Decision Process (MDP) defined by a simulator, a designated starting state s0, and a downside risk constraint defined as the probability of reaching catastrophic states, our goal is to find a stationary deterministic policy π that with probability 1 − δ achieves a value V (s0) that is within of the value of the optimal stationary deterministic νfeasible policy, V ∗(s0), while economizing on the number of calls to the simulator. This paper presents the first PAC-SafeRL algorithm for this purpose. The algorithm extends PACRL algorithms for efficient exploration while providing guarantees that the downside constraint is satisfied. Experiments comparing our CONSTRAINEDDDV algorithm to baselines show substantial reductions in the number of simulator calls required to find a feasible policy.