Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization and phylogenetic analysis of the complete chloroplast genome of Tulipa patens (Liliaceae)

Abstract The chloroplast genome and evolutionary relationship analysis of Tulipa patens could provide fundamental genetic reference for its molecular breeding and biological research. The complete chloroplast genome of T. patens was sequenced and reported here. The genome was 152,050 bp in length, containing a pair of inverted repeated regions (26,330 bp) which were separated by a large single copy region of 82,184 bp, and a small single copy region of 17,206 bp. A total of 133 functional genes were annotated, including 87 protein-coding genes, 38 tRNA genes, and eight rRNA genes. The phylogenetic relationships of 10 species indicated that T. patens was closely related to Tulipa sylvestris.
HIGH-RESOLUTION URBAN MAPPING BY FUSION OF SAR AND OPTICAL DATA

Mapping the exact extent of urban areas is a critical prerequisite in many remote sensing applications, such as hazard evaluation and change detection. The usage of Synthetical Aperture Radar (SAR) data has gained popularity due to the unique characteristics of the backscattered radio signal from human-made targets. The Sentinel-1 (S1) constellation, with a global revisit time of 6-12 days in Interferometric Wide Swath (IW) mode and free and open access to the data, allows the development of new applications to monitor urban sites. However, S1 is rarely considered when fine resolution is required due to the large pixel size and the need for spatial averaging to obtain robust estimators. We propose a method to improve Sentinel-1 urban classification performance by exploiting one Multi-Spectral (MS) image acquired by Sentinel-2 (S2). MS data is used for tracing the precise natural boundaries in a scene through superpixels segmentation. A machine learning approach is then applied to interpret the thematic context of each segment from short temporal stacks of coregistered SAR data. We use a short sensing period (around two months), so rapid changes can be traces. The proposed fusion of S1 and S2 data was tested in the area of Milan (Italy), with a total accuracy of about 90%. The ability to follow high-resolution details in a mixed environment is demonstrated, opening the possibility of efficiently tracing the human footprint.
SENTINEL-2 SURFACE REFLECTANCE PRODUCTS GENERATED BY CNES AND DLR: METHODS, VALIDATION AND APPLICATIONS

To allow for a robust and automatic exploitation of Sentinel-2 data, Analysis Ready Data (ARD) products are requested by most users. The processors of ARD products take care of the common burdens necessary for most applications, that include precise orthorectification, cloud detection and atmospheric correction steps, as well as the generation of periodic syntheses of cloud free surface reflectances. The French Theia land data center, and the German Earth Observation Center (EOC) started delivering Sentinel-2 surface reflectance products to users in 2016 in France and 2019 in Germany respectively. Both centers produce and distribute these data sets in near real time, over large regions requested by French users such as Western Europe, Maghreb, Sahel, Madagascar . Theia’s and EOC products include an instantaneous surface reflectance product (Level-2A), and a monthly cloud free synthesis of surface reflectance (Level-3A). This article shortly describes the methods used to generate the Level-2A products with the MAJA processor, and the Level-3A products with the WASP processor. The MAJA processor is based on multi-temporal methods, that use the slow variation of surface reflectance to detect clouds and estimate aerosol depth, while WASP, thanks to the quality of MAJA cloud mask, calculates a weighted average of all the cloud free observations over 45 days, every month. The article also provides validation results for Level-2A and Level-3A products, resulting from comparison with in-situ data and with other methods. A last section gives first insights from the monitoring of user uptake of the distributed products
Ability Cognitive Children Age Early Between Methods Brain Gym and Methods Providing Duty

Children's cognitive abilities have not been appropriately achieved. This is due to the use of methods that are considered less effective in the learning process. The purpose of this study was to determine the reality of differences in cognitive abilities of early childhood with the Brain Gym method and the assignment method for Group B at RA Al-Wafi Panyileukan Bandung City. The research method used is Quasi Experiment with nonequivalent control group design research. The results showed that children's cognitive abilities using the Brain Gym method and those using the Giving Task method had significant differences. This was evidenced by the results of hypothesis testing, which showed the t value = 8.97 more effective than the t table value = 2.043 at a significance level of 5 %.
Implementation multiple linear regresion in neural network predict gold price

The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.
Talent identification and location: A configurational approach to talent pools

Purpose: Talent management (TM) has become a strategic priority for companies seeking to identify employees with outstanding performances and the potential to hold strategic positions in the future. In fact, talent is considered an intangible capital that adds value to the organisation. However, there are only a handful of studies in the literature that address the process of identifying talent in organisations for its subsequent development. Thus, the purpose of this paper is to reach a better understanding of the process of identifying and locating talent, while proposing a configurational approach as a theoretical framework for grouping talented individuals into different configurations or talent pools to initiate talent development in firms. Design/methodology: Case study methodology research based on four companies that have implemented TM programmes in Spain. Findings: The research questions formulated here and the case studies shed light on the process of identifying talent and on the criteria for grouping it in order to facilitate its future development. Our results highlight the following. First, talent means people with certain characteristics. Second, companies focus more on developing the talent identified than on considering the innate nature of that talent. Finally, talent can be found throughout an organisation, in both management and non-management positions. In turn, we conclude with the relevant theoretical contribution of the configurational approach to explain that a company's future competitive advantage is based on the different talent pools existing in its organisation that group talent for its differential management. Practical implications: Our results imply major recommendations for companies on how to identify talent and group it into talent pools in order to implement a process of differentiated management involving a range of temporal pathways. Originality/value: The identification and location of talent, as well as grouping it into talent pools, is an essential prior process for proposing the talent architecture that is so much in demand in the literature.
Design, characterisation, and digital linearisation of an ADC analogue front-end for gamma spectroscopy measurements

This work presents the design, experimental characterisation, and digital post-distortion (i.e., digital linearisation) of a MHz-range ADC analogue front-end prototype for a gamma radiation spectrometry system under development at the National Center for Nuclear Research (NCBJ) in Poland. The design accounts for the electrical response of the gamma particle detector in providing signal conditioning and ADC protection against high-voltage spikes due to occasional high-energy cosmic radiation, as well as proper ADC clocking. As the front-end inevitably introduces nonlinear distortion and dynamic effects, a characterisation is performed to quantify the actual performance in terms of Total Harmonic Distortion (THD) and Effective Number of Bits (ENOB). Thus, a digital linearisation based on both static and memory polynomial models is successfully applied by means of post-distortion processing, guaranteeing a substantial improvement in THD and ENOB, and demonstrating the effectiveness of the hardware/software method for gamma radiation spectrometers.
Nanoclay and Its Importance

Clays are the one of the most important minerals and have numerous applications in nanotechnology, helps in improvise the product quality, cost effective and protect the environment from pollution. This review explained about the key characters of nanoclay particles and classification of nanoclay based on the sheets arrangements in their structural unit called layer. Nano clay major groups are kaoline-serpentine, smectite, mica, vermiculite, pyrophyllite talc and chlorite. The physicho-chemical and morphological properties of halloystite and mantmorillonite clay represents the 1:1 and 2:1 layer groups respectively. Nano clays are the group which is naturally present in the soil fraction of clay and most important nano clay material present in the soil are montmorillonite and allophone. Montmorillonite is a characteristically crystalline, phyllosilicate and hydrous silicate layer. Organo clays are the organically modified forms of the montmorillonite and formed from quaternary ammonium ions intercalation process and which have been used in inks, rheomodifiers, cosmetics, greases, as a additives in paints and also used in controlled release of drugs in delivery systems. Largest usage of nanoclaysis being practiced in polymer-clay nanocomposites. Organo clays are most importantly using in water treatment and pollution control. Review Article Nagaraju et al.; CJAST, 40(13): 71-81, 2021; Article no.CJAST. 68616 72 Allophane is formed by weathering of volcanic ash; it is non crystalline alluminium silicate derivative. Agricultural lands in Chile mostly formed by the allophane clay fraction. It is most suitable for enzyme mobilization. It also very useful in abortion of phenolic compounds, mill effluent colours and phosphates from waste water.
Electoral volatility of the 2019 presidential election: A study in Jakarta and Depok, Indonesia

In democratic countries around the world, electoral volatility is a challenge for political actors. Because one vote is significant, political parties and candidates are increasingly difficult to predict the preferences of citizens. This study aimed to analyze motivational factors that make voters change their choice of votes. This study employed a quantitative method and proposed three variables, including political sophistication, candidate evaluation, and exposure to media campaigns. The results of the logistic regression show that voters who positively evaluate candidates become loyal voters (p-value £ 0.001). Meanwhile, voters who consume political information from social media and the internet intensively, as well as those who are interested in politics are non-volatile voters (p-value £ 0.001 and p-value £ 0.01, respectively). These findings contrast with studies in parliamentary countries where interest in politics motivates voters to change their votes. In these analyzes, this study focuses on examining the inter-election volatility of 2014-2019 in the context of the presidential election in Indonesia. The data were obtained from a post-2019 election survey (non-probability sampling), for respondents in South Jakarta, East Jakarta, and Depok City, who had elected the president in the 2014 and 2019 elections.
Revisiting Adversarial Malware Examples with Reinforcement Learning

Machine learning models have been widely implemented to classify software. These models allow to generalize static features of Windows portable executable ﬁles. While highly accurate in terms of clas-siﬁcation, they still exhibit weaknesses that can be exploited by applying subtle transformations to the input object. Despite their semantic-preserving nature, such transformations can render the ﬁle corrupt. Hence, unlike in the computer vision domain, integrity veriﬁcation is vital to the generation of adversarial malware examples. Many approaches have been explored in the literature, however, most of them have either over-estimated the semantic-preserving transformations or achieved modest evasion rates across general ﬁles. We therefore present AIMED-RL, Automatic Intelligent Malware modiﬁcations to Evade Detection using Re-inforcement Learning. Our approach is able to generate adversarial examples that lead machine learning models to misclassify malware ﬁles, without compromising their functionality. We implement our approach using a Distributional Double Deep Q-Network agent, adding a penalty to improve diversity of transformations. Thereby, we achieve competitive results compared to previous research based on reinforcement learning while minimizing the required sequence of transformations.
Psychological Context of Overtraining Syndrome in Elite Athletes in Adolescence: Literature Review

The article presents an overview of important findings concerning the overtraining syndrome (OTS) in elite athletes in adolescence. Although the scientific community agrees that OTS is a multifactorially determined and individually variable phenomenon, which can have a serious impact on the individual, there are still some inconsistencies. Therefore, in our study we focused on the terminology of the phenomenon, its prevalence, etiology and symptomatology. We paid specific attention to psychological instruments of detecting OTS indicators. Given that in the period of adolescence the training process in the majority of sport disciplines intensifies significantly, the context of developmental changes during this period in relation to OTS is discussed. The final part of the study summarizes the basic principles of prevention of this pathological phenomenon.
ACCESSING AND PROCESSING BRAZILIAN EARTH OBSERVATION DATA CUBES WITH THE OPEN DATA CUBE PLATFORM

Recently, several technologies have emerged to address the need to process and analyze large volumes of Earth Observations (EO) data. The concept of Earth Observations Data Cubes (EODC) appears, in this context, as the paradigm of technologies that aim to structure and facilitate the way users handle this type of data. Some projects have adopted this concept in developing their technologies, such as the Open Data Cube (ODC) framework and the Brazil Data Cube (BDC) platform, which provide opensource tools capable of managing, processing, analyzing, and disseminating EO data. This work presents an approach to integrate these technologies through the access and processing of data products from the BDC platform in the ODC framework. For this, we developed a tool to automate the process of searching, converting, and indexing data between these two systems. Besides, four ODC functional modules have been customized to work with BDC data. The tool developed and the changes made to the ODC modules expand the potential for other initiatives to take advantage of the features available in the ODC.
Impact of shorter MDR tuberculosis regimen drugs on heart rate variability in MDR tuberculosis patients at tertiary care hospital

Background: Tuberculosis is major cause of death in India. Analysis of heart rate variability is one of the most popular methods of autonomic nervous system evaluation. Shorter MDR-TB regimen drugs affect both central nervous system as well as peripheral nervous system. Existing research suggests that active pulmonary tuberculosis causes ANS dysfunction. So, by HRV measurement impact of shorter MDR-TB regimen drugs on autonomic dysfunction can be correlated. Aim of the current investigation was to evaluate effect of shorter MDR-TB regimen drugs on cardiac autonomic regulation in MDR-TB patients with respect to heart rate variability as a parameter.Methods: Fifty newly diagnosed MDR-TB patients of either gender on shorter MDR- TB regimen were enrolled in this study after taking consent. After 20 minutes rest, ECG was taken by “physiopac digital polygraph” software for 5 minutes. Two follow-up HRV assessments were done on 2nd month and 4th or 6th month of treatment. HRV was calculated by root mean square deviation of successive differences between adjacent RR intervals (RMSSD) and low frequency and high frequency ratio.Results: Repeated measures ANOVA showed no statistically significant difference in HRV parameters between baseline, 2 months and 6 months groups. So, sympathetic and parasympathetic modulation in terms of HRV remains unchanged during treatment of MDR-TB with shorter MDR-TB regimen drugs.Conclusions: Shorter MDR-TB regimen drugs don’t have any significant impact on HRV in MDR- TB patients, No correlation was observed between HRV and heart rate in MDR-TB patients.
GENDER PERSPECTIVES IN KASNONO TRADITIONAL RITUALS SPEECH IN BILOTO VILLAGE, SOUTH CENTRAL TIMOR DISTRICT

The people of South Central Timor (SCT) -East Nusa Tenggara (ENT) are “archaic” people or traditional people who still maintain their lives with local wisdom from the legacy of their ancestors. In Biloto Village, there is a traditional ritual that is cultured for the bride. A bride from any clan and from any tribe married to one of the Timorese men is obliged to follow this ritual. This study examines the form, function, meaning, and gender perspective in Kasnono's traditional speech and ritual stages. The method used in analyzing the data is the descriptive qualitative method that used interviews and observation. The observation was carried out to obtain a complete picture of the data regarding real verbal and nonverbal behavior regarding the continuity of the ritual. Meanwhile, based on the results of observations and interviews, there are four stages in Kasnono ritual, those stages are Lusa Tae Nono, Nak Unin Nak Mutin, Kasnono and Tam Lopo. Then based on the analysis, there are three gender views in the implimentation of these traditional rituals, namely equality in the division of household duties in the family, freedom to make choices, and express opinions and freedom in decision making.
CHANGE DETECTION OF TIME-SERIES 3D POINT CLOUDS USING ROBUST PRINCIPAL COMPONENT ANALYSIS

The chances of acquiring three-dimensional (3D) point clouds have recently increased with the emergence of laser scanners. Hence, 3D monitoring of various objects through the accumulation of “time-series 3D point clouds,” which are point clouds of the same place at different times, is possible. Change detection is a task that is indispensable in 3D monitoring. One of the most common change detection method of 3D point clouds is simple subtraction between two data. However, this method is vulnerable to various errors. Therefore, change detection methods that are robust to errors are required. In this study, we developed robust principal component analysis, which has become popular in the background modelling of video images, to robustly recognize changes in timeseries 3D point clouds. We first applied the proposed method to time-series depth images and confirmed its accuracy. We then applied the method to the digital elevation models of Mt. Unzen, which were acquired between 2003 and 2016, to recognize yearly elevation changes. The results show that the proposed method robustly recognizes elevation changes with a properly set parameter. * Corresponding author
Courtship behavior : ” The Out-of-my-league effect ”

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Courtship behavior: ”The Out-of-my-league effect” Fabrice Le Lec, Theodore Alexopoulos, Béatrice Boulu-Reshef, M-P Fayant, Franck Zenasni, Todd Lubart, Nicolas Jacquemet
Shear-coupled migration of grain boundaries: the key missing link in the mechanical behavior of small-grained metals?

Grain size reduction is a very efficient way to block dislocation movements and therefore create very strong metals and alloys. Not only grain boundaries are known obstacles for dislocations, but when reaching nanometer dimensions, crystallites usually become dislocation free, which imposes an additional constraint to develop plasticity. A recent effort to understand grain boundaries-based deformation mechanisms has therefore emerged. These mechanisms can be manifold, involving conservative and diffusive processes that are very poorly understood. A first approach consisting in downscaling mechanisms that are documented at large scale such as Coble creep, proved very limited. On the other hand, stress-assisted grain growth or shear-coupled grain boundary migration, that were recently observed in small-grained materials at room or low temperature may provide a crucial step to fully understand dislocation-less plasticity in nanocrystals. As this is a completely new field with many more degrees of freedom, a continuous research effort has to be carried out to link the mechanical properties of nanocrystals to these mechanisms specifically linked to grain boundaries. Résumé. La réduction de la taille des grains est un moyen très efficace de bloquer les mouvements de dislocations et donc d’augmenter la résistance mécanique des métaux et alliages. Non seulement les joints de ∗Corresponding author. ISSN (electronic) : 1878-1535 https://comptes-rendus.academie-sciences.fr/physique/ 2 Romain Gautier et al. grains sont des obstacles connus pour les dislocations, mais lorsqu’ils atteignent des dimensions nanométriques, les cristallites deviennent généralement vides de dislocations, ce qui impose une contrainte supplémentaire pour développer la plasticité. Comprendre les mécanismes de déformation basés sur les joints de grains est devenu un enjeu majeur de la métallurgie physique. Ces mécanismes peuvent être multiples, impliquant des processus conservatifs et diffusifs qui sont mal compris. Une première approche qui consiste à transposer aux petites dimensions des mécanismes documentés à grande échelle comme le fluage de Coble, s’est avérée très limitée. Au contraire, la croissance des grains assistée par la contrainte ou la migration des joints de grains couplée au cisaillement, récemment observées dans les matériaux à petits grains à température ambiante, peuvent fournir une clé pour comprendre pleinement la “plasticité sans dislocation” dans les nanocristaux. Comme il s’agit d’un domaine relativement nouveau avec beaucoup plus de degrés de liberté, un effort de recherche continu doit être mené pour relier les propriétés mécaniques des nanocristaux à ces processus de plasticité basés sur les joints de grains.