Miracle-dz/UniFAR-FTUs huggingface dataset:
Elaboration et caractérisation de céramiques PZT bi-substituées et modélisation non-linéaire de leur comportement en contrainte et en champ électrique

Les oxydes formules Pb(ZrTi)O3 (note PZT) de structure perovskite sont utilises industriellement dans les transducteurs et capteurs piezoelectriques en raison de leurs proprietes dielectriques et electromecaniques. Cependant pour des applications bien specifiques, il est necessaire de developper des ceramiques possedant des caracteristiques stables et reproductibles en fonction de la temperature et de la contrainte mecanique. Pour atteindre ces objectifs, nous avons elabore par voie liquide et caracterise de nouveaux materiaux PZT fluores. Nous avons egalement etudie du coefficient N33 durant un cycle thermique et du coefficient d33 sous contrainte mecanique. Cette etude vise a determiner l'influence de la fluoration sur le comportement dielectrique et electromecanique des ceramiques PZT bi-substituees. Ensuite, nous avons etudie les effets d'un champ electrique et d'une contrainte mecanique sur la polarisation macroscopique afin d'apprehender les mecanismes de polarisation / depolarisation sous haut niveau de sollicitations. Ceci nous a permis de developper un modele, base sur des elements non lineaires, permettant de simuler les effets.
What do hotel guests really want?: An analysis of online reviews using text mining

Hotels offer a range of attribute-based services perceived to be wanted and gladly used by guests while staying at the hotel. That is, hotels at least th ink they have recognized the attributes of importance to their guests. Whether there is a desire for high-quality Wi-Fi, touchscreen technology, RFID or even tablet-controlled hotel room to satisfy the digitalsavvy guests or small fridge, microwave and tea for families, hotels today find themselves into a position where online reviews represent one of the most valuable tools for getting insights into the factors that determine guests' experiences. By scraping the online reviews of 21 five-star hotels in North Macedonia on Booking.com, this paper investigates the attributes that are affecting guests' experience by analyzing the sets of online reviews using text mining. Research findings offer a more consistent understanding of the guest experience expressed in online reviews in terms of determining which amenities enhance guest satisfaction. The paper also illustrates how the methodological approach of text mining enables the use and visual interpretation of the data, and thus contributes to the studies in the field of hotel management.
Psychosocial context of the decision-making process and the consequences of preventive procedures in a patient with BRCA1 genetic mutation

Background: Patients with a genetic mutation that increases the risk of cancer are often offered preventive surgery – mastectomy and adnaxectomy. The objective of this case report is to present the psychosocial context of the decision to perform prophylactic breast and ovarian removal surgery and the consequences of the indicated procedures on the example of a patient with the BRCA1 genetic mutation, to adapt educational activities and support for patients.
FOUR CHALLENGES OF LONG-TERM SOCIO-ECOLOGICAL RESEARCH IN BRAZIL

Long Term Ecological Research (LTER) aims to monitor natural ecological processes that operate over longer time periods than are typically permitted by standard research grants (e.g. species life cycles, natural resource dynamics, and the ecological effects of climate changes). Despite the enormous success of LTER, many of the initial projects largely overlooked the consequences of their study sites being embedded in wider socio-ecological systems. This potential shortcoming led to the development of Long Term Socio-Ecological Research (LTSER), a logical extension of LTER that seeks to fully integrate the human dimension into long term environmental monitoring. LTSER sites have now been successfully established in many countries, although such an approach is still incipient in Brazil´s program of LTER (known by the acronym PELD in Portuguese). The PELD APA Costa de Corais is one of Brazil’s newest PELD sites, and intentionally incorporated a strong socio-ecological focus into its design and implementation. In this brief perspective we draw on our experiences of creating a LTSER, identifying four key challenges that need to be overcome to ensure successful implementation.
A note on 3‐partite graphs without 4‐cycles

Let C4 be a cycle of order 4. Write ex(n,n,n,C4) for the maximum number of edges in a balanced 3‐partite graph whose vertex set consists of three parts, each has n vertices that have no subgraph isomorphic to C4 . In this paper, we show that ex(n,n,n,C4)≥32n(p+1) , where n=p(p−1)2 and p is a prime number. Note that ex(n,n,n,C4)≤(322+o(1))n32 from Tait and Timmons's works. Since for every integer m , one can find a prime p such that m≤p≤(1+o(1))m , we obtain that limn→∞ex(n,n,n,C4)322n32=1 .
Seek and you shall find? A content analysis on the diversity of five search engines’ results on political queries

ABSTRACT Search engines are important political news sources and should thus provide users with diverse political information – an important precondition of a well-informed citizenry. The search engines’ algorithmic content selection strongly influences the diversity of the content received by the users – particularly since most users highly trust search engines and often click on only the first result. A widespread concern is that users are not informed diversely by search engines, but how far this concern applies has hardly been investigated. Our study is the first to investigate content diversity provided by five search engines on ten current political issues in Germany. The findings show that sometimes even the first result is highly diverse, but in most cases, more results must be considered to be informed diversely. This unreliability presents a serious challenge when using search engines as political news sources. Our findings call for media policy measures, for example in terms of algorithmic transparency.
The Impact of Network Readiness Index and Good Governance on the Tourism Industry Revenues in Selected Countries of Southwest Asia: With System Generalized Method of Moments

As we know, the economy of science is to achieve optimal gains using scarce resources. Similarly, a problem where economies of the world are trying to resolve it is the issue of how to achieve an optimal economic contribution from limited tourism resources. According to the fact that global studies and statistics indicate that good governance is considered as the most important factor in developing countries and is considered as a strong governance of the development and as Information and Communication Technology (ICT) is effective in the interactions and economic and social exchanges of any society, it is the link between the tourism industry and the technology under the form of a robust tool and utilitarian in the tourism process called E-tourism can play a significant role. Therefore, the aim of this study was to investigate the effect of network Readiness Index and good governance on income from tourism industry. In this study, data and information about 14 selected countries were collected from Southwest Asia in the annual period of 2016-2011 in the form of panel data and the proposed model was used and estimated by the generalized torques system method. The estimated results of the model indicate that both hypotheses have a positive and significant impact on the amount of Network Readiness Index in the income of tourism industry, as well as the positive and significant effect of the index the amount of income from the tourism industry is confirmed, and their impact has been positive and significant, as well as exchange rate variables, revenue and commercial openness, also have a positive and significant effect on revenues of the tourism industry.
For lite kunnskap om blodtrykk ved hjerneinfarkt

Blodtrykk er en viktig prognostisk faktor for pasienter med akutt hjerneinfarkt. Både høye og lave verdier er forbundet med dårligere funksjonsnivå etter slaget (1). Tre av fire pasienter med akutt hjerneinfarkt er hypertensive ved innkomst (2). Mekanismene bak det høye blodtrykket er ikke kjent, men har vært vurdert som en endogen respons for å sikre blodforsyningen til det truede området i hjernen, den såkalte penumbrasonen. En annen hypotese er at hypertensjon er en følge av infarktets lokalisasjon og utbredelse. Den velkjente U-formede kurven for sammenhengen mellom blodtrykk og prognose, der både høyt og lavt blodtrykk er forbundet med dårligere prognose, er fortsatt ikke tilstrekkelig forklart, og det foreligger ikke klare retningslinjer for regulering av blodtrykk ved akutt hjerneinfarkt.
Research on PCA-LSTM-based Short-term Load Forecasting Method

Accurate load forecasting not only makes the power company’s power dispatch more reasonable, but also improves the economics and safety of grid operation. In order to make load forecasting more accurate, it is necessary to use a variety of factors that affect load changes, such as temperature and holidays, to build a huge data set, which will reduce the speed of calculations. In addition, deep learning has advantages over traditional prediction methods in time series prediction. Therefore, this paper adopts a load prediction method based on principal component analysis (PCA) and long short-term memory neural network (LSTM). First, build a multi-dimensional data set with a time series. Second, PCA is used to reduce the dimensionality of the data set, retaining the feature that the sum of the proportions of the k-dimensional principal components reaches or exceeds 85%. Thirdly, the LSTM was trained using the data set and a load prediction model was obtained, with a correlation coefficient of 94%. Finally, the experimental simulation is compared with the traditional method. Experimental results show that the method has higher accuracy and practicability.
A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance

Estimation of the sintering state has importance for clinker quality improvements and the safe operation of the rotary kiln. Class imbalanced thermal signals usually pose challenges in feature extraction and abnormal state recognition. In this article, a novel framework that integrates prior knowledge and hidden information is developed for sintering state recognition in the class imbalance condition. For discriminative feature extraction of imbalanced data, a cascaded stack autoencoder (SAE) model is proposed to fuse our prior knowledge and hidden information. The model includes a feature extraction SAE and a deep fusion SAE: the former extracts hidden information from thermal signals, and the latter deeply fuses and compresses our prior knowledge and hidden information. For the class imbalance of sintering samples, we propose a data-dependent kernel modification optimal margin distribution machine (ddKMODM) as a sintering state recognition model. Modifying the original kernel function by a conformal function depending on the data distribution in kernel space, ddKMODM can change the local volume expansion coefficient of the feature space to eliminate the negative effects caused by imbalanced samples. Experiments on real data show that the proposed framework can balance the detection rate of each state in the class imbalanced condition, and its overall sintering state recognition accuracy exceeds 92%.
Smartphones’ Calling Application Usability Improvement for People with Special Needs

When it comes to the implementation of the concept of ATAWADAC (Any Time, Any Where, Any Device, Any Content) smartphones play a primary role. Smartphones are owned by more than 45% of the world's population. Therefore, the capacity of smartphone applications to be used in a simple, effective, and efficient way is fundamental, especially for individuals with special needs; knowing that 15% of the population worldwide live with at least one form of disability. Most of the people with special needs and novice users use smartphones to make/receive calls, send/receive SMS. In this paper, a UI for smartphone calling applications is proposed, and algorithms are developed to minimize the cognitive biases, motor, and visionary problems, with the main goal to improve the calling applications usability and to enhance user experience. A comparison of the proposed design and other applications is provided.
Occurrence of violet vinegar crab Episesarma versicolor Tweedie, 1940 (Crustacea: Decapoda: Brachyura) in mangroves of Pichavaram and Vellar, Tamil Nadu

During the present study on the diversity of brachyuran crabs from the mangroves of Pichavaram and Vellar, five male specimens of a sesarmid crab having stunning blend of violet and white pincers were caught from burrows at the base of mangrove trees. On closer examination, the species was found to be different from the other species which were already recorded. This was identified as Episesarma versicolor with the help of taxonomic keys. This happens to be the first report of this species from the mangroves of Tamil Nadu.
ASSESSING THE RELIABLE SYMPTOMS OF RHUS TOX AND KALI CARB IN THE TREATMENT OF LUMBAR SPONDYLOSIS WITH SCIATICA SYNDROME – AN OBSERVATIONAL STUDY

Every homoeopathic drug has hundreds of symptoms. Most of the symptoms were recorded during proving of the drug. Around 10% of symptoms are of clinical origin as observed by keen homoeopaths. Number of symptoms are very large when it comes to polychrest drugs like Kali carb and Rhus tox. Very often these two drugs are prescribed as routine medicines when it coms to joint complaints especially lumbar Spondylosis. As homoeopathic principle clearly says that indicated medicine is the homoeopathic specific medicine for the given patient at that time, routine prescription doesn’t serve the purpose. Hence an attempt was made to understand the reliable symptoms Rhus tox and kali carb especially in l.pondylosis. Methods: Patients suffering from lumbar Spondylosis with sciatica syndrome attending Alvas Homoeopathic medical college hospital between November 2018 to November 2019 were selected. After case taking those patients whose symptoms correspond to kali carb and Rhustox were considered. Using VAS scale follows up was analyzed. Symptoms which clinched the remedy diagnosis in each case was assessed. The time taken for improvement was noted. Results: a total of 14 cases were selected for the study. Among them 4 cases defaulted during the course of the study. Out of 10 cases 3 were prescribed kali carb and 7 cases were given Rhus tox. Symptom severity was high. ( mean VAS score was 7 out of possible 10). After treatments mean VAS score dropped down to 1. It shows significant improvement.
Rasio-Rasio Keuangan Sebagai Prediktor Return Saham Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia

Financial ratios have been used long ago to assess a company's financial performance and predict future performance, including stock returns. The study aims to determine the predictive ability of various financial ratios to stock returns. Statistical testing with SPSS was conducted on 97 manufacturing companies on the Stock Exchange during the period 20092016 or as many as 748 observational data. Testing is done by performing a simple regression of each ratio and multiple regression using the stepwise method to identify ratios that are able to predict stock returns. Simple regression test results on each ratio show that the greatest predictive ability is owned by Return on Assets followed by Assets Turnover, Return on Equity, Debt to Equity Ratio and Earnings per Share. Multiple regression testing using the stepwise method shows that the combination of the ratio of Return on Assets, Debt to Equity Ratio and Inventory Turnover provides the greatest predictive ability among the ratios tested.
Spin-dependent hot electron transport and manoscale magnetic imaging of metal/Si structures

Nous etudions experimentalement le transport dependant du spin d’electrons chauds dans des multicouches (MC) magnetiques, qui contiennent des couches uniques magnetiques, ou des tricouches de type « vannes de spin » (VS). Pour cela, nous avons mis en œuvre la microscopie a emission d’electrons balistiques (BEEM), une extension a trois contacts de la microscopie a effet tunnel sur des structures metal/semiconducteur. La methode mise au point pour satisfaire les nombreuses contraintes imposees par le BEEM sur les echantillons est decrite en detail. La transmission des e��lectrons chauds dans des MC a ete systematiquement mesuree dans la gamme d’energie 1-2 eV au dessus du niveau de Fermi. De l’etude en fonction des epaisseurs des couches magnetiques nous avons deduit les longueurs d’attenuation des electrons chauds en fonction du spin et de l’energie. Ces mesures, sur le cobalt et l’alliage doux NiFe, sont comparees a des calculs et resultats experimentaux de la litterature. Pour des epaisseurs inferieures a la monocouche atomique, une organisation spatialement heterogene a ete observee, avec un effet tres important sur la transmission BEEM, variant sur une echelle sub-nanometrique. En mode imagerie, nous avons etudie les configurations magnetiques de VS, en particulier des parois a 360° dans des couches de cobalt. Les effets de l’intensite et la direction du champ applique sur la structure de ces parois ont ete observes. Ces resultats ont ete compares quantitativement a des calculs micromagnetiques, avec un accord excellent. Ceci a permis de montrer que la resolution magnetique de BEEM est meilleure que 50 nm.
Clinical Adverse Events in Elderly Hospitalized Patients in a Medical Ward-a prospective study

Introduction: Studies to date describe between 3% to 50% of patients experiencing one or more clinical adverse event (CAE) during their hospital admission and many preventable. The aim of this prospective study was to determine the frequency of medical CAEs in a medical ward. Also the study aimed to compare data between patient age groups and determine the effect on length of hospital stay and mortality. Methods: This experimental study was a randomized, controlled clinical trial that was conducted in 2018. Two elderly day care centers in Yazd city ,in central Iran were selected and randomly assigned to control and intervention groups. Then, according to the inclusion criteria, eligible people were selected from the centers and enrolled in the study. Participants were 58 elderly women who were assigned to control (n: 29) and intervention (n: 29) groups. Yoga exercises were held for 2 months (three 1-h sessions a week) for intervention group. The Wechsler Memory Scale was completed for both groups before and after the intervention. Data were analyzed by SPSS using descriptive and inferential statistics. Results: 62 episodes were studied, 14.8% of those admitted to hospital experienced a CAE. The most frequent adverse events included analytical alterations, anemia and blood loss, infection and altered state of consciousness. The most commonly implicated therapies were anticoagulants (23%) which lead to episodes of bleeding, anti-hypertensive and diuretics (17%) immunosuppressive therapy (16%) beta blockers (1%) & insulin (1%). Mean length of stay in hospital was 17 days in all groups, longer than the average length of stay of this medical ward which is 11 days. Mortality rate within one year of hospitalization was 30% in total, again significantly higher than the 10% mortality rate calculated for the same period on the ward. Conclusion: This study demonstrates that CAEs are still far too common, probably underestimated, cause serious harm to patients and strains healthcare services further.
Argulus japonicus (Branchiura: Argulidae) parasitic on a lakeweed chub, Ischikauia steenackeri (Cyprinidae), in northern Kyushu, Japan

The lakeweed chub, Ischikauia steenackeri (Sauvage, 1883), is a cyprinid endemic to the Yodo River system including Lake Biwa, central Japan. The species has recently established its populations as a domestic alien fish in various inland waters in western and central Japan, including Kyushu (Takeuchi, 2015). In 2017, we collected a specimen of Argulus japonicus Thiele, 1900 from the body surface of an individual of I. steenackeri in Fukuoka Prefecture, northern Kyushu. Fukuoka Prefecture is one of the seven prefectures (Oita, Miyazaki, Kagoshima, Kumamoto, Saga, Nagasaki, and Fukuoka) in Kyushu, which is the third largest island (36,750 km) of Japan. Little information is available on the geographical distribution of A. japonicus in Kyushu, where the species has been reported only from Kagoshima and Abstract: The lakeweed chub, Ischikauia steenackeri (Sauvage, 1883), was originally distributed in the Yodo River system including Lake Biwa, central Japan, and has recently established its populations as a domestic alien species in various inland waters in western and central Japan, including Kyushu. An adult female of Argulus japonicus Thiele, 1900 was collected from the body surface of a lakeweed chub in an irrigation canal connected to the Hase River, a tributary of the Nishi River within the Onga River system in Fukuoka Prefecture, northern Kyushu. This repersents a new prefectural and host records for A. japonicus. This parasite is considered not to have been introduced to the sampling site by I. steenackeri but to naturally occur in the river system.
Estimation of Stellar Ages and Masses Using Gaussian Process Regression

Stellar ages play a crucial role in understanding the formation and evolution of stars and Galaxies, which pose many challenges while determining in practice. In this paper, we have introduced a new machine-learning method, Gaussian process regression (GPR), to estimate the stellar ages, which is different from the traditional isochrone fitting method, which fully utilizes the information provided by previous studies. To demonstrate the performance of our method, we have applied it to the field stars of two important phases of evolution, main-sequence turn-off (MSTO) stars and giants, whose ages and masses are available in the literature. Also, GPR is applied to the red giants of open clusters (e.g., M67). Results showed that the ages given by GPR are in better agreement with those given by isochrone fitting methods. The ages are also estimated from various other machine-learning methods (e.g., support vector regression, neural networks, and random forest) and are compared with GPR, which resulted in GPR outperforming others. In addition to ages, we have applied GPR to estimate the masses of the MSTO stars and red giants and found that the masses predicted by GPR for the red giants are within acceptable uncertainties of masses derived from the asteroseismic scaling relation. We have provided the constraints on the input parameters to GPR, which decides the accuracy of the output ages and masses. Results conclude that the newly introduced GPR is promising to provide a novel approach to estimate stellar ages and masses in the era of big data sets. As a supplement, masses and ages for the MSTO stars and red giants estimated from GPR are provided as a catalog that could be used as a training set for upcoming large data sets with spectroscopic parameters.