Miracle-dz/UniFAR-FTUs huggingface dataset:
Parallelism: A New Approach in Prediction System

— Now-a -days, people have a very free and convenient communication environment of internet where they show active participation to demonstrate what they actually feel about a particular event. May it be a poll result, incident, news, political issues, government schemes or any government decision for the citizens. People demonstrate their views by reacting through various parameters available on the social media. Some make a tweet using hash tags while some other prefer giving their views using statements, updating status or even updating their profiles in order to support a particular cause. But what if the predictors already know how the public is going to react on a particular event or news. For this prediction system help us out, in which there is analysis of the responses from public and then predict the future circumstances. Many applications are developed by using prediction systems. Some example are cancer detection, election poll results and many more. The day-by-day growing data can compromise the performance of the prediction system, because its obvious that growing network of data will require more storage and the system will also consume more time for its processing. In practical applications, maintenance of network storage and calculations will be costly with increasing number of nodes in the network. For this effective strategy for reducing processing time must be introduced. To reduce this processing time introducing parallelism concept can help.
SUBLETHAL EFFECTS OF CHLORDECONE ON HISTOMORPHOLOGY OF THE FRESHWATER CICHLID FISH , PSEUDETROPLUS MACULATUS ( BLOCH , 1795 )

In the past few decades, pollution in the aquatic environment is a serious concern and has become an international issue. Aquatic pollution is mainly due to the release of several toxicants from industries, agricultural products, sewage effluents and domestic wastes. It could seriously harm aquatic ora and fauna, which lead to bioaccumulation of toxicants in aquatic organisms and bioconcent ration in higher vertebrates (Ackerman and Iwama, 2001). Adverse effects of toxicants as a biological response can be assessed by various biomarkers such as physiological, biochemical or histopathological alterations in various tissues or organs. Fish possess natural adaptive mechanisms as detoxi cation and biotransformation in order to get rid from the exposed environmental contaminants. However, the decline in the sh population may be the result of exposure to low level of numerous toxicants in the aquatic environment. Therefore, the degree of contamination in the aquatic environment can be assessed by detecting warning signs of damage on tissue level through histological analysis.
THE EMPLOYMENT RELATIONSHIP, ORGANISATIONAL CAPABILITIES AND THE THEORY OF THE FIRM

La lettre de la régulation diffuse toute information concernant les publications, séminaires, colloques ou autres activités de recherche en relation avec l'approche de la théorie de la régulation. Ces informations peuvent être adressées soit à Bénédicte Reynaud, Rédacteur en chef de la lettre de la régulation : CEPREMAP, 140 rue du Chevaleret, 75013 Paris Fax : +33 (0)1 44 24 38 57 e-mail : Benedicte.reynaud@cepremap.cnrs. fr, soit à Robert Boyer:CEPREMAP e-mail : robert.boyer@cepremap.cnrs. fr. Pour les renseignements concernant l’édition électronique s’adresser à Yves Saillard (e-mail : Yves.Saillard@upmf-grenoble.fr) IREPD BP 47X , 38040 Grenoble Cedex 9 Tel : 33 (0)4 76 82 54 30 Fax : 33 (0)4 76 82 59 89. ISSN en cours
An Enhanced Hybrid Item Recommender Model for Nigerian Online Stores

Item recommendation is the process of recommending goods sold on online stores to visitors and existing customers of the store to aid their shopping transactions processes. Majority of the online stores in Nigeria have their shopping systems implemented similar to foreign online stores’ templates. Adapting these foreign shopping system templates to meeting the needs of Nigerian consumers has been quite challenging. This is due to the unavailability and sparsity of ratings needed by the systems for the generation of these recommendations, thus Nigerian online stores focus on the provision of nonpersonalized recommendations. The peculiarities of Nigerian consumers call for the provision of personalized item recommendations using alternative information other than ratings information. A hybrid item recommender system that has been demographically enhanced is being proposed in this paper. The model was formulated using the search method, user profiling and association rule mining for the contentbased item recommendations. The vector similarity and the adjusted cosine similarity methods were used for formulating the collaborative item recommendations. The demographic item recommendations were then formulated using the clustering and association rule methods. The performance of the system was evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results of the performance evaluation carried out on the system showed that the system was able to reduce the Mean Absolute Error of the existing system by 61.24% and the Root Mean Square Error by 37.23% in content-based recommendations. In collaborative recommendations, evaluation results further showed that the new system was able to reduce the Mean Absolute Error of the existing system by 63.16% and the Root Mean Square Error by 39.30%. General Terms Information Filtering and Access, Recommender Systems
A Survey on Short Term Behaviour Modelling

____________ Abstract : The context of a user significantly influences user preferences and respectively his/her behavior. The nature and the way users are using the web today, is most exciting and explored topic now a days. Mining the user's behavior to provide pattern of the user's interest will lead to better prediction of the user's behavior and can increase user experience. Furthermore, today business emphasis on this type of information, as this can be useful in order to improve their services. In this paper we have tried to review work done in area of capturing user’s short-term behavior (on the level of a session), which indirectly enables to, predict the session end intent or the length of the session and respectively adjust generated recommendations
Obstructive sleep apnea versus central sleep apnea: prognosis in systolic heart failure.

Background In chronic heart failure (CHF), obstructive sleep apnea (OSA) and Cheyne-Stokes respiration (CSR) are associated with increased mortality. The present study aimed to evaluate the prognostic effect of CSR compared to OSA, in otherwise similar groups of CHF patients. Methods Screening for sleep-disordered breathing (SDB) was conducted among patients with CHF of New York Heart Association (NYHA) class II-IV, and left ventricular ejection fraction (LVEF) of ≤45%. The study included 43 patients (4 women) with >25% CSR during sleeping time, and 19 patients (2 women) with OSA and an apnea-hypopnea index (AHI) of ≥6. Patients were followed for a median of 1,371 days. The primary endpoint was mortality, and the secondary endpoint was combined mortality and hospital admissions. Results Baseline parameters did not significantly differ between groups, but CSR patients were older and had higher AHI values than OSA patients. Five OSA patients (26%) died, and 14 (74%) met the combined end-point of death or hospitalization. CSR patients had significantly higher risk for both end-points, with 23 (53%) deaths [log-rank P=0.040; HR, 2.70 (1.01-7.22); P=0.047] and 40 (93%) deaths or readmissions [log-rank P=0.029; HR, 1.96 (1.06-3.63); P=0.032]. After adjustment for confounding risk factors, the association between CSR and death remained significant [HR, 4.73 (1.10-20.28); P=0.037], hospital admission rates were not significantly different. Conclusions Among patients with CHF, CSR was associated with higher mortality than OSA independently of age and cardiac systolic function. CSR was also an age-independent predictor of unfavorable outcome, but hospital admission rates were not significantly different between the two groups after adjustment.
Executive function disorder in acute traumatic brain injury in Manado, Indonesia

Traumatic brain injury (TBI) is known as a major cause of death and chronic disability worldwide. It is one of the leading causes of economic and social problems for patient, family and community. Patients will have serious complication on physics, mental and personality aspect. Executive function disorder is one of the cognitive functions that could be affected by TBI. There is scarcity of data about executive function in acute TBI, especially from developing countries. Our study aimed to investigate the association between acute TBI and executive function disorder. This study was a hospital-based cross-sectional study. Samples consisted of 20 patients and 40 demographically matched controls that meet the inclusion criteria. For executive function measurement we applied TMT-A, TMT-B and Stroop Test. The result showed that mean score of TMT-A for case group was 1.06 minute (95% CI 0.70-1.06) which was longer than control group (0.32 minute). For TMTB test, the mean score was 2.68 minute (95% CI 2.05-2.8) for case group and 0.77 minute for control group. On Stroop Test 3 we found that the mean score was 17 correct items (95% CI 13.52-20.48) which was lower than control group (52.5). For all of the tests, we detected that acute TBI significantly associate with executive function disorder (p > 0.05). Conclusion: There was a significant association between acute TBI and executive function disorder.
Presenting a Hybrid Model for Early Diagnosis of Hepatitis by Applying Data Mining Techniques

Data mining is a science that works on mining of undiscovered patterns and relationships from raw data. These patterns are used for prediction or identification of events before their happening or at early stages of their happening. In recent decade, the application of data mining for quick diagnosis (in early stages of illness) of many diseases (such as: various kinds of cancers, diabetes, cardiovascular disorders and etc.) and also the prediction of the possibility of specific diseases by the discovering association relationships and the investigation of diseases-related factors. In this study, we tried to investigate hepatic diseases, their symptoms and their treatment. Then, some studies were reviewed that were related to data mining techniques for early detection of various diseases and different algorithms like: decision tree, SVM, Rough Set, neural network and Bayesian network that according to many studies done by various scientists around the world had the highest accuracy for detection of hepatitis. Later, a combinational approach was applied for the highest accuracy percentage of present approaches that in this method, a proposal combination of three algorithms: neural networks, Rough Set and Bayesian networks. The results of the proposal combinational method indicated that its efficiency and accuracy was higher in comparison to other methods.
PP106 Regional Guidance On Aids For Ostomy

INTRODUCTION: The Veneto Region established a Technical Panel for Continence (TPC) with the purpose of producing guidance for aids based on a Health Technology Assessment (HTA) approach. TPC is a multidisciplinary experts group that involves local clinicians, pharmacists, health economist and patients associations. Among its tasks, TPC can issue recommendations in the field of appropriate use, purchasing and distribution for aids. Currently the TPC is investigating aids for ostomy patients in order to provide the first regional guidance on appropriateness and disease management for ostomy. METHODS: The Regional Health Technology Assessment Unit (CRUF) conducted a literature review of the evidence on aids for ostomy. Grey literature, and National and Regional laws and regulations were also included in the analysis. TPC discussed the collected evidence by consensus. Final recommendations have been sent to the Regional Technical Committee on Medical Devices (CTRDM) for eventual remarks, before final approval. RESULTS: The literature review did not retrieve any relevant international studies on the topic, except for the Canadian clinical guidelines on ostomy. The upcoming regional guidance will suggest recommendations on: (i) appropriate patient disease management based on a multidisciplinary team evaluation; (ii) characteristics and selection criteria for ostomy aids and related accessories; (iii) prescribing medical specialists, authorization and distribution features; and (iv) specific indicators for appropriateness monitoring. CONCLUSIONS: The regional guidance on aids and accessories for ostomy aim at ensuring the appropriateness throughout the Regional Health Service. The strict monitoring of agreed indicators is essential for appropriateness compliance and consequently the sustainability of regional medical devices expenditure.
A Case for Object Compositionality in GANs

Deep generative models seek to recover the process with which the observed data was generated. Successful approaches in the domain of images rely on several core inductive biases. However, a bias to account for the compositional way in which humans structure a visual scene in terms of objects has frequently been overlooked. In this work we propose to structure the generator of a GAN to consider objects and their relations explicitly, and generate images by means of composition. We evaluate our approach on several multi-object image datasets, and ﬁnd that the generator learns to identify and disentangle information corresponding to different objects at a representational level. A human study reveals that this leads to a better generative model of images.
An Overview of the Man-In-The-Middle Attack

: The ‘Man-In-The-Middle’ (MITM) attack is one of the most well-known attacks in computer network security, illustrating one of the biggest concerns for security professionals. MITM attacks target the actual data that flows between endpoints, the confidentiality and the integrity of the data itself. The MITM attack makes it hard for the clients to comprehend on whether or not they are associated with a unique and a secured connection. As the certificate which is passed during the course of the connection set up is unreliable, the attacker can manipulate its information effortlessly. The approval of the certificate is left to the client. Since numerous clients are not well aware of the locations of such fake certificates and their equivalent attacks, they acknowledge the certificates which pave the way for attackers to actualize the attack. This paper emphasizes on the different types of MITM attacks.
COMPARATIVE PERFORMANCE OF GRID INTEGRATED PV SYSTEM USING VARIOUS MPPT TECHNIQUES

This paper presents the comparison of various MPPT techniques for grid integrated PV system. The PV system is connected to the grid via a DC-DC boost converter and 3-phase 3 level inverter with an intermediate fixed or varying load. The MPPT algorithms are employed in boost converter. The real power, reactive power, voltage and current are observed on PV side, Grid side & Load side under different operating conditions. The fix 350KW load and varying 50KW-350KW load is taken at different power factors of unity, 0.9 lagging and 0.8 lagging. This system is modelled, simulated and analysed in MATLAB/Simulink.
Power System Stability By Incorporating Closed Loop Controller as a Power Flow Controller in HVDC Links

In this paper we introduce a HVDC transmission between two buses of an IEEE 9bus system with transient and dynamic analysis of rotor angle deviation of the three synchronous generators. The deviation of the generators is maintained in synchronization during steady state and after fault transient. Comparison of HVDC VSCs with different controllers is presented with P, PI and PID controllers. Modeling and simulation is carried out in MATLAB software with graphical representations. IndexTerms – HVDC links , Powerflow Controllers, Rotor angle deviation,VSCs
The COASTAL project: Increasing land-sea synergies and coastal-rural collaboration for a healthy ocean.

Coastal and sea regions not only concentrate populations and intensive economic activity but also environmental stresses and higher levels of pollution. On the other hand, rural hinterlands face depopulation and often economic recession while still environmentally impacting coastal regions. Land-based activities (agriculture, forestry, industries and urbanization) are directly and indirectly impacting land, coastal and sea ecosystems (soil and river pollutions, marine water eutrophication, etc.), the coastal region are the downstream recipient of land use negative practice externalities. At river basin scale, despite the fact that land-based ecosystems are linked to coastal and sea ecosystems through water flows, the understanding of these links remains limited partly due to sectorized and fragmented research and governance practices. At the European policy level, legislations follow these spatial and sectoral approaches, the Water Framework Directive (WFD) and the Marine Strategic Framework Directive (MSFD) which seek to achieve 'Good Environmental Status' of rivers and marine water respectively, but both lack interconnections and common working principles. Although river water flows directly impact coastal and marine waters, neither the Common Agriculture Policy (CAP) nor the Integrate Coastal Zone Management (ICZM) principles sufficiently address the gaps between sea management, coastal management and inland management. The EU H2020 COASTAL project adopts an innovative source-to-sea approach where at river basin scale, sea, coastal and rural regions are seen as a whole and single ecosystem. The project seeks to improve land-sea synergies in strategic business and policy decision making, and collaborations between coastal and rural stakeholders in order to (1) create connections between land ecosystems and coastal ecosystems, for sustainable use and management of theses ecosystems as well as reaching the Sustainable Development Goals (SDGs) pertaining to the sustainable use of freshwater (SDG 6), seas (SDG14), terrestrial ecosystems (SDG 15) and climate change impacts (SDG13); (2) support sustainable growth in rural, coastal and marine sectors by fostering cross-sectoral collaborations; (3) develop links between EU WFD, MFD and CAP by developing policy alternatives for coastal-rural areas. The COASTAL project adopts a strong participatory multi-actor, bottom-up approach based on collaboration between rural, coastal and sea stakeholders. The methodology and tools used combine local and scientific knowledge to explore and analyse social, environmental and economic land-sea interactions in a collaborative System-Dynamic framework to identify problems and develop practical and robust business road maps and strategic policy guidelines to improve land-sea synergies and coastal-rural collaborations. The project adopts an interactive approach via Multi-Actors Labs (MALs) centered around 6 selected coastal regions (in Belgium, Sweden, Romania, Greece, Spain and France) with both common as well as unique opportunities and challenges.
Identifying the Barriers to Achieving Sustainable Dialysis Programs in Sub-Saharan Africa: Nigeria as a Reference Point

About 1.9 million people worldwide have end-stage renal disease, a stage of chronic kidney disease where affected individuals require long-term renal replacement therapy of which 75% are on maintenance hemodialysis. Africa has the lowest dialysis uptake rates in the world despite chronic kidney disease being three to four times more common in Africa than it is in the developed world. Several factors are responsible for this low rate of dialysis uptake in sub-Saharan Africa. These include inadequacy of dialysis infrastructure, lack of reimbursements or government subsidies for dialysis and severe shortage of trained nephrology personnel. In addition, there is no regulation governing dialysis practice in most countries in the region, and no renal data on basis of which plans to tackle these issues can be developed. Increased financial commitments on the part of governments in sub-Saharan Africa are essential not only to improve patient access to dialysis, but also to fund research needed to provide epidemiologic data on kidney disease, train and retain nephrology personnel and develop effective, safe and affordable dialysis modalities for patients with ESRD in the region
TEXTUAL SIMILARITY DETECTION-A SURVEY

— Measuring Textual Similarity ,between words/ terms, sentences, paragraph and document plays an important role in computer science. In natural language processing (NLP), Semantic textual similarity is an important component for many tasks such as document summarization, word sense disambiguation, short answer grading, information retrieval and extraction . The lexical overlapping approach evaluate similarity among sentence and find whether a sentence pair semantically equivalent or not . Existing methods for computing sentence similarity have been adopted from approaches used for long text documents. These methods process sentences in a very high-dimensional space and are consequently inefficient, require human input, and are not adaptable to some application domains. Semantic textual similarity methods improved in two areas ,first is semantic relation between word and second is semantic resources to reduce dimension and overcome disadvantages of existing methods . In this paper, we have given the survey of various techniques and methods for textual similarity detection from sentence.
IMPACT OF SERVICE QUALITY ON SUBSCRIBERS SATISFACTION WITH REFERENCE TO TELECOMMUNICATION INDUSTRY

-Using the SERVQUAL model, this study first aimed at studying the dynamic interrelationship among the six dimensions of Service quality. Next it tried to examine the impact of reliability, responsiveness, assurance, empathy and tangible and perceived network quality aspects on customer satisfaction. A total of 101 current users of GSM provider participated in this study. Correlation analysis was used to determine the relationship between the dimensions and customer satisfaction. Regression analysis was used to find the impact of dimensions of Service Quality on Customer satisfaction by testing the hypothesis. Results indicated that responsiveness and tangibility positively influenced customer attitudes in terms of satisfaction.
A Conceptual Frame Work to Detect Financial Fraud Supported by the Fraud Triangle Factors

: The main goal for data mining is to extract the knowledge and patterns from large amounts of data or dataset. The Data mining is used to analyzing the historical data and predicting the future data. Probabilistic inquiries have been widely investigated to give answers certainty, so as to help the reality applications battling with questionable information, for example, sensor systems and information reconciliation. In any case, the vulnerability of information may engender, and consequently, the outcomes returned by probabilistic inquiries contain much commotion, which corrupts question quality altogether. where a joint-entropy based quality capacity is utilized. We build up an effective structure called ASI to file the conceivable outcome sets of probabilistic inquiries, which maintains a strategic distance from commonly of probabilistic inquiry assessments over an expansive number of the conceivable universes for quality calculation. Additionally, we present careful and estimated calculations for the improvement issue, utilizing two recently introduced heuristics. Extensive trial results on both genuine and engineered informational collections show the productivity and versatility of our proposed system Query Clean.