Miracle-dz/UniFAR-FTUs huggingface dataset:
RS DETECTION AND PV THEMATIC CARTOGRAPHY FOR ENVIRONMETAL PROTECTION

The present work has been researched in designing and carrying out advanced RS analysis for photovoltaic solutions in compliance with national and international regulations. The MIVIS scanner, having 102 channels available, is able to define the spectral signature of PV materials and map its presence. In this paper I propose an analytical model able to describe and to monitor short and long-term performances of photovoltaic systems. Such a model shows the efficiency of the system with the more meaningful variables involved in the problem: system size and cost. The final result of this activity is a project-GIS containing the identification of all the roofs that have this material. The project should be considered as an ongoing cultural change: environmental protection means social, entrepreneurial and cultural development. This project will be implemented for Innovative Educational Programmes.
Depletion of TM 6 SF 2 disturbs membrane lipid composition and dynamics in HuH 7 hepatoma cells

A polymorphism of TM6SF2 associates with hepatic lipid accumulation and reduction of triacylglycerol (TAG) secretion, but the function of the encoded protein has remained enigmatic. We studied the effect of stable TM6SF2 knock-down on the lipid content and composition, mitochondrial fatty acid oxidation and organelle structure of HuH7 hepatoma cells. Knock-down of TM6SF2 resulted in intracellular accumulation of TAGs, cholesterol esters, phosphatidylcholine (PC) and phosphatidylethanolamine. In all of these lipid classes, polyunsaturated lipid species were significantly reduced while saturated and monounsaturated species increased their proportions. The PCs encountered relative and absolute arachidonic acid (AA, 20:4n-6) depletion, and AA was also reduced in the total cellular fatty acid pool. Synthesis and turnover of the hepatocellular glycerolipids was enhanced. The TM6SF2 knock-down cells secreted lipoprotein-like particles with a smaller diameter than in the controls, and more lysosome/endosome structures appeared in the knock-down cells. The mitochondrial capacity for palmitate oxidation was significantly reduced. These observations provide novel clues to TM6SF2 function and raise altered mebrane lipid composition and dynamics among the mechanism(s) by which the protein deficiency disturbs hepatic TAG secretion.
Caveat-Separation System : Simplified Case Study Specifications

Defence Research and Development Canada (DRDC) – Valcartier, with the support of the CRAC Laboratory at École Polytechnique de Montréal, carried out an ambitious R&D project aiming at developing a tool called SOCLe which integrates the design of software applications with their security. Integrating the design of software applications and security into a unique tool is not only particularly innovative but also crucial to ensure the quality and security of critical command and control information systems. Moreover, as it is 50 to 100 times more expensive to correct a software error once the design phase is finished, detecting and correcting errors at design-time saves time and money. This paper presents the SOCLe project’s major achievements along with a simplified case study on Caveats, as an illustrative example of a possible military application for this new technology.
Reconstruction of single and 2-qubit density matrices using quantum state tomography

We report an experimental realization of quantum state tomography of a photonic ensemble for single and two-qubit polarization states. Our implementation is based on the work by James, Kwiat, Munro and White [1] which provides good tomographic reconstructions based on local projective measurements. We describe the theory and experimental tomographic measurement for single qubit states prepared from a laser source and present the tomographic reconstruction of the density matrices of three orthogonal bases. Furthermore, we also describe the theory and experimental realization of a quantum state tomography of the two polarization degrees of freedom of a pair of entangled photons generated in a down-conversion experiment. Two different techniques are discussed: a linear reconstruction, where the density matrix is constructed from coincidence measurements but with the caveat of possibly producing non-physical density matrices, and a maximum likelihood estimation technique that produces physical density matrices. Finally, we also discuss temporal compensation of the down-converted photons in type II BBO crystal and its effect on the tomographic reconstruction of 2-qubit states and present the tomographic reconstruction of the density matrix for an SPDC source.
The concept of the home health monitoring

It is highly desirable to reduce the need for medical services by maintaining the health of the population, and intensive monitoring of health parameters is likely to become necessary to attain this goal. A new concept of health monitoring is described, in which an individual's health parameters are automatically monitored at home without disturbing their daily activities. We review and show attempts at developing such monitoring techniques, which include monitoring during sleep, via the bathtub or toilet seat, daily activities and daily behaviors. These studies show that home health monitoring can be achieved with developed sensors and instruments. Also we show that monitoring daily behavior can be realized with only simple sensors and systems. To realize this concept, fully automated objective evaluations and/or analysis of data must be developed and large scale computational analysis is essential for those evaluations.
Revisión sistemática de la asociación entre sobrepeso, obesidad y enfermedad mental, con énfasis en el trastorno esquizofrénico

Introduction: The World Health Organization has defined obesity and overweight as "cumulative excess body fat, which is presented by an imbalance between food intake and energy expenditure", and the American Psychiatric Association declares that it may also affect the psychic apparatus. Objective: To describe some generalities related to obesity and overweight and to review the partnership that exists between these circumstances and mental illness in general and schizophrenia in particular, as well as the influence of the administration of atypical antipsychotics on the body weight of these patients. Method: A search of electronic databases (Pubmed, EBSCOhost, and OvidSP) was conducted, focusing on papers published in the last decade with strict scientific methodology. Results: Incidence of overweight and obesity is higher in people with mental illness in general and schizophrenia in particular compared to the general population, and risk factors such as genetic polymorphisms, use of atypical antipsychotics, and a poor diet are identified. Conclusion: Obesity is a major public health problem in several countries, including Mexico. Patients with psychiatric disorders have a tendency to develop overweight or obesity.
Contextual and neural representations of sequentially complex animal vocalizations

Holistically exploring the perceptual and neural representations underlying animal 1 communication has traditionally been very difficult because of the complexity 2 of the underlying signal. We present here a novel set of techniques to project 3 entire communicative repertoires into low dimensional spaces that can be systemat4 ically sampled from, exploring the relationship between perceptual representations, 5 neural representations, and the latent representational spaces learned by machine 6 learning algorithms. We showcase this method in one ongoing experiment studying 7 sequential and temporal maintenance of context in songbird neural and perceptual 8 representations of syllables. We further discuss how studying the neural mecha9 nisms underlying the maintenance of the long-range information content present in 10 birdsong can inform and be informed by machine sequence modeling. 11
Punitha 71 AN OPTIMIZED TECHNIQUE FOR MATCHING PATIENT RECORDS IN MULTIPLE DATABASES USING DECISION TREE

Record matching is the process of identifying records that refer to the same real world entity or object. The record matching process can be used for matching medical records . Multiple ration cards and multiple credit application fraud is a specific case of identity crime. In literature non-data mining detection system of business rules and core cards, and known fraud matching has limitations. To tackle these issues and combat identity crime in real time and also many problems arise when linking patient records from multiple databases. In the existing work, the fuzzy logic is used for construct the membership values of string similarity and based on this rules are build to find the record matching. However in this system, many drawbacks are still there to address such as uniqueness weight of an attribute are not analyzed in this system. Due to this, the time complexity of the system is increased as well as accuracy of record matching system is reduced. Undoubtedly, this is degrades the efficiency of the system. In order to overcome these issues, we are proposing the effective record matching system using decision tree approach. The main aim of this proposed system is to discover the effectiveness of a medical record matching system using a decision tree framework. This system considers quantitative measures of the elements in medical records, and decision tree rule is applied to link to the linguistic concepts. Experimental results are shown that our proposed system called record matching using decision tree approach is well effective than the existing system. Our proposed system is offers an effective solution for dealing with linkage problems.
Selling to a naive agent with two rationales ∗

A seller is selling an object to an agent who uses two rationales to compare pairs of outcomes (allocation probability, transfer) pairs. Each rationale is generated by quasilinear preference over the outcome space, and hence, can be represented by a valuation. However, the agent faces a budget constraint when making decisions using the first rationale. The agent compares any pair of outcomes using his pair of valuations in a lexicographic manner: first, he compares using the valuation corresponding to the first rationale; then, he compares using the valuation corresponding to the second rationale if and only if the first rationale cannot compare (due to budget constraint). We show that the optimal mechanism is either a posted price mechanism or a mechanism involving a pair of posted prices (a menu of three outcomes). In the latter case, the optimal mechanism involves randomization and pools types in the middle. JEL Codes: D82, D40, D90
Evaluation of an immersive audio experience using questionnaire and interaction data

Device orchestration is the concept of using an orchestrated set of connected devices to reproduce or augment a media experience. To evaluate the concept applied to immersive audio experiences, an orchestrated audio drama was created and released on BBC R&D’s public-facing trial platform. The experience allowed users to easily connect personal devices, which reproduced sounds including speech and spot effects, ambient background sounds, and additional storyline content. The trial was evaluated through a simple questionnaire and user interaction logs. The 210 questionnaire responses suggested a positive reaction (mean rating of 4 out of 5 stars, 72% loved or liked using phones as speakers, and 80% would use the technology again). The interaction logs (for 2174 sessions) showed reasonable engagement, with 18% of sessions nearing the end of the content. For sessions lasting over 1 minute, over 60% had at least one extra device connected. The results suggest useful strategies for optimising engagement with orchestrated experiences. There are limitations and challenges to drawing strong conclusions from large-scale trials in uncontrolled conditions (including unrepresentative sampling of the population and lack of context for logged interactions). However, benefits include larger sample sizes and greater ecological validity than in controlled laboratory testing.
Vogt-Koyanagi-Harada Disease and Birdshot Retinochoroidopathy , Similarities and Differences : A Glimpse into the Clinicopathology of Stromal Choroiditis , a Perspective and a Review Ähnlichkeiten und Unterschiede zwischen 2 stromalen Choroiditiden : Morbus Vogt-Koyanagi-Harada versus

The purpose of this work was to give a comprehensive and updated review on two primary stromal choroiditis entities, Vogt-Koyanagi-Harada disease (VKH) and birdshot retinochoroiditis (BRC). Their appraisal has become much more precise thanks to new investigational methods, such as indocyanine green angiography (ICGA) and enhanced depth imaging optical coherence tomography (EDI‐OCT), which give substantially improved imaging access to the choroid. In this review, we focus on the crucial changes brought by this progress in the understanding, diagnosis, and management of these disorders. Application of these methods makes it possible to reach an early diagnosis, therefore allowing early treatment, which has led to a profound improvement in outcomes when compared to previous management.
Alcohol prevention in Swedish primary health care

Aims: The objectives of this thesis are to describe attitudes among general practitioners (GPs) and district nurses (DN) towards working with risk alcohol drinking and focus on the achievements of the Swedish Risk drinking project (RDP). Special attention has been devoted to the gender perspective and to the limits of sensible/safe drinking. Methods: The data sources used are a postal survey to GPs and nurses in the primary health care (PHC) in the County of Skaraborg, Sweden, 2002 and two national postal surveys (2006 and 2009) which had the aim to evaluate the effect of the Risk Drinking Project (RDP). To evaluate a change in clinical practice following RDP, we triangulated the results with two population surveys in which the participants reported whether they had been asked about alcohol when visiting the PHC and if the number of alcohol-related diagnoses increased in PHC. Results: Counseling skills to reducing alcohol consumption and effectiveness in helping patients reducing alcohol consumption ranked lower than working with other lifestyle behaviours for both GPs and DNs. The main obstacles for the GPs to carry out alcohol intervention were lack of training in counselling for reducing alcohol consumption, time constraints, and that the doctors did not know how to identify problem drinkers. Both the gender of the patients and of the GPs influenced the advice given and the referrals the patients received. Women were more often recommended to stop drinking while men were recommended to reduce drinking. Men were less often referred to any treatment, odds ratio 0.33. The upper limit of alcohol consumption before the GPs would advise the patient to cut down was significantly higher for GPs having an AUDIT-C score ≥ 3, 146 g/week for men and 103 g/week for women, than for GPs with an AUDIT-C score ≤ 2, 89 and 68 g/week, respectively. GPs lacking post-graduate education stated lower limits for safe drinking than GPs with some education. We found a significant increase for all three competence-related parameters analyzed (discussion, knowledge and effectiveness) between 2006 and 2009, with a higher increase for DNs than GPs. The population surveys showed no changes concerning how often the inhabitants were asked about alcohol. There was only a small increase of alcohol-related diagnoses over this time period. Conclusion: Some of the implications of these findings are that there is a need to increase the awareness of male excessive drinking and that gendered perceptions might bias alcohol management recommendations. If the GPs would take action on the limits they proposed, it would mean that they would intervene with a very large proportion of their patients that are drinking moderately and that will be both unmanageable and unnecessary. Finally there is conflicting evidence to whether RDP, which mainly was an educational enterprise, has been a sufficient means of increasing screening and brief intervention in PHC.
Advancing with Adversaries: Comparing LSTMs Across Adversarial Inputs

Recently, more effort has been made to increase robustness against adversarial examples in reading comprehension systems. Robust systems are suggested to have “real language understanding abilities” [1] and are more transferrable to real-world question answering tasks (e.g. social media posts). Modern approaches attempt to model more complex relationships between the question and context [2] or encourage the identification of an adversarial example. We look to explore these approaches in more detail.
THE ROLE OF HUMORAL IMMUNE RESPONSE IN HEPATITIS C INFECTION

The World Health Organization (WHO) has estimated that about 3% of the world’s population is currently infected with Hepatitis C Virus (HCV). Although spontaneous clearance of HCV infections occurs in 10-20% of patients, nearly 185 million people are still chronically infected by HCV, which is one of the leading risk factors for developing liver cirrhosis and/or liver cancers. In the HIV-1 infected population, chronic HCV infection has become one of the leading causes of non-AIDS specific morbidity and mortality. In the United States about 25% of HIV-1 positive individuals have co-infections with HCV. It has been observed that HIV-1 infection reduces the rate of spontaneous clearance and exacerbates the clinical course of HCV infection in HIV/HCV co-infected individuals, but the mechanisms driving this remain unknown. One of the major hurdles of studying the mechanisms of HCV infection over the last two decades has been the inability to grow and study this virus in a laboratory setting, as well as, the inability to develop reliable animal models. The development of the HCV pseudotyped viral particles (HCVpp) system was ground-breaking and became one of the most important in vitro study tools to test the neutralizing antibodies against virus entry and vaccine studies. Therefore, we used HCVpp to evaluate the role of neutralizing antibodies in an HIV-infected subject who spontaneously cleared HCV, but subsequently was re-infected with a different genotype of HCV. In this study, we examined the role of HCV specific neutralizing antibodies in HCV clearance and chronicity in a HIV/HCV co-infected subject who was enrolled in Pittsburgh portion
Novel approaches to classification problems by means of artificial immune systems

Artificial immune systems (AIS) [5] are a group of evolutionary algorithms that are based on the functioning of the immune system of the vertebrates. Although the immune system is not fully understood yet, it exhibits many properties interesting from the point of view of computational intelligence. Due to its ability to learn responses to the new threats, to remember previous attacks and generalize its experience it can be treated as a cognitive system. The biggest influence on the development of the artificial immune systems had the paradigms of clonal selection, negative selection and immune network theory. There are many different cells in the immune system, however, only artificial B-lymphocytes and T-lymphocytes are used in most AIS as they are crucial in the process of learning new threats and preserving the immune memory. In AIS, the clonal selection is used for simulating the evolution of artificial B cells which are responsible for developing a specialized response targeted against a particular pathogen. Negative selection is a censoring process which all T-cells must undergo. During this process all the candidate T-cells which react with the host’s own proteins, are eliminated preserving the immune system from attacking the host body. The whole process can be perceived as a two-class classification problem.
minbiziaren kontra ( Light-driven alternative therapy for cancer disease )

One of the most noticeable concerns in society related with health is cancer owing to its high mortality rate. A great deal of research is conducted to treat cancer, find novel therapeutic treatments, and to avoid the harmful side effects of radiotherapy and chemotherapy. Nowadays, photodynamic therapy has arisen as a successful complementary alternative, mainly for skin diseases induced by cancer. In this light-driven method, a photosensitizer is required to generate singlet oxygen. Indeed, this last cytotoxic moiety shows anticarcinogenic activity. The herein reported work is focused on photosensitizers. To this aim, we detail the molecular design to fulfill the required conditions, and explain the underlying photophysical phenomena behind the light-induced singlet oxygen generation. Finally, we report the state of the art regarding organic photosensitizers, with special interest in those based on BODIPy dyes. KEywORDS: cancer, photodynamic therapy, photosensitizers. Ekaia, 2020, 37, 145-157 https://doi.org/10.1387/ekaia.20722
THE ROLE OF MINDFULNESS IN UNETHICAL PURCHASING

PurposeNegotiation occurs all the time in purchasing practices of businesses, and is inevitable for purchasing professionals when encountering purchasing conflict. Ethical negotiation is considered the vital requirement in maintaining long-term and close buyer-supplier relationships. This study aims to explore the relationship between mindfulness and unethical negotiation. MethodologyThis study will take purchasing professionals in Taiwan as research subjects to investigate the relationship between mindfulness and unethical negotiation. FindingsResearch findings reveal that there is a significant negative relationship between mindfulness and unethical negotiation. Purchasing professionals with different mindfulness are expected to exhibit different purchasing negotiation behaviors. ConclusionMindfulness refers to self-awareness of one’s present experience including his/her own thoughts and what is happening in the environment. While the process of negotiation contains a series of judgment and decision-making, mindfulness may possibly influence purchasing professionals’ unethical negotiation.
Exploring techniques to improve RNN translation performance

Machine translation performance has advanced substantially in the past 6 years. The appearance of RNNs marked the beginning of a rapid progression of architectural advances that included Attention, Convolutional Networks, and, most recently, Transformers. Besides major architectural changes, these advances have included less publicized techniques can improve the performance of any model. In the spirit of the work of Chen, First, Bapna et al, we try to identify techniques that can be applied to improve translation quality. We study a number of possibilities across the NMT process pipeline, which starts with the original text and text preprocessing and culminates in the final translated text. We test new approaches as well as try to confirm the effect of techniques publicized in other research. We developed baseline 2 and 4 head architectures that can be used for further study and optimization. In exploring these architectures, we confirmed weight dropping as one of the more effective techniques to improve system performance. We also found found that preprocessing by separating commas and full-stops form accompanying words raises BLEU performance substantially due to a better interpretation of punctuation and a lower incidence of OoV words. We conclude that for comprehensive NMT system optimization, the entire process pipeline should be considered and a structured approach to optimization efforts should be employed drawing from a toolbox of techniques such as those we tested.