Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Intelligence Helps Protect Smart Homes against Thieves

Interaction with the environments in which humans live is increasing more and more, and Artificial Intelligence (AI) offers significant contributions to this. Although the topic of smart homes has attracted a great deal of attention from researchers, the AI-based application in this area is still in its infancy. In this study, a home security automation system, which is quite simple, but smart and AI-based, is proposed. When the home-dwellers were not at home, the home lighting system tried to be managed with AI at night, as if life was still there. The AI-based smart home physical design was done using Arduino equipment and was tried to be adapted to the real-life environment with software support. As if there was someone at home, a special dataset, which was consisted of nine inputs, one output vector and about 5500 samples was created to turn on/off the home lights in a manner suitable for night life. The home lighting system was successfully managed using an AI-based system that learns nightlife lighting habits. The proposed system performance was tested in support of commonly used machine learning classification algorithms such as Multi-layer perceptron (MLP), Linear support vector machine (L-SVM), Gaussian Naive Bayes (NB), and linear discriminant analysis (LDA). The accuracy values of MLP, L-SVM and NB algorithms were 96.69%, 94.98% and 91.23%, respectively. Our results show that a home with AI could be safer and more secure against theft.
The contribution of discoidin domain receptor 1 to the pathogenesis of diffuse large B cell lymphoma

Collagen is the ligand for the discoidin domain receptor-1 (DDR1), a receptor tyrosine kinase that is over-expressed in Hodgkin lymphoma. However, the role of DDR1 in diffuse large B cell lymphoma (DLBCL) is not known. I showed that DDR1 is over-expressed in a subset of DLBCL where it positively correlates with expression of its collagen ligands, and negatively correlates with expression of mitotic spindle genes. DDR1 correlated genes also overlapped with three aneuploidy signatures and DDR1 expression correlated significantly with autosomal aneuploidy index. RNAseq analysis revealed that over-expression of DDR1 in primary germinal centre B cells down-regulated expression of CENPE, an essential component of the mitotic spindle checkpoint that when inactivated leads to chromosome mis-segregation and aneuploidy. CENPE expression was also significantly reduced in primary DLBCL. Moreover, I showed that the constitutive activation of DDR1 in an in vitro lymphoma model led to aneuploidy. Finally, I showed that DDR1 can be inhibited by three small molecules and established the basis for in vivo model to test these inhibitors in DLBCL xenograft. My data provide evidence that DDR1 can induce aneuploidy in B cells, and as such identify a mechanism to potentially explain the link between chronic inflammation and lymphomagenesis.
Comment optimiser le recours au scanner cérébral dans les traumatismes crâniens légers aux urgences pédiatriques ? : l'intérêt d'un protocole inspiré de la règle de décision clinique du « Pediatric Emergency Care Applied Research Network » (PECARN)

Contexte : les traumatismes crâniens legers (TCL) sont frequents et peuvent etre associes a des lesions intracrâniennes (LIC) avec un risque non nul de morbi-mortalite. L’examen de reference pour faire le diagnostic de LIC est le scanner cerebral. L’utilisation de cet examen diagnostique doit cependant etre justifiee et balancee au risque de tumeur solide et de leucemie associe a son irradiation. Des regles de decision clinique (RDC) comme celle realisee par N. Kupperman au nom du « Pediatric Emergency Care Applied Research Network » (PECARN) en 2009 ont pour objectif de mieux selectionner la population a qui est realisee un scanner cerebral pour TCL. Objectif : evaluer les performances diagnostiques dans la detection des LIC en cas de scanner pour TCL de la RDC du PECARN et du score de Glasgow. Methode : les enfants ayant recu un scanner cerebral dans les 24h suivant un TCL consultant aux urgences pediatriques au CHU de CAEN de fevrier 2015 a fevrier 2019 ont ete inclus. Resultats : les criteres de haut risque de LIC de la RDC du PECARN et un Glasgow <15 ont respectivement une sensibilite de 37% (25%-51%) et de 4% (0,7%-20%) et une specificite de 94% (90%-96%) et de 94% (89%-97%) pour une detection de LIC. L’indice de Youden, le coefficient Q de Yule et le khi-2 sont significatifs uniquement pour la RDC du PECARN. Le score de Glasgow n’etait cote que dans 45,5% des dossiers. Conclusion : les criteres de la RDC du PECARN semblent etre superieurs au score de Glasgow seul pour une detection de LIC en cas de scanner pour TCL. Un protocole inspire du PECARN pourrait diminuer les indications de scanner cerebral pour TCL.
Research on Stock Prediction Model Based on Deep Learning

In order to obtain stable returns, this paper aims to establish a quantitative model with higher prediction accuracy. According to the time series characteristics of financial data, the prediction model with financial time series data is constructed by using the time-memory sequence model LSTM, which is applied to the representative SSE 50 series stocks. And based on this, the LSTM model with Encoder-Decoder mode and a hybridized framework of LSTM with CNN are built to improve the original model. Feature extraction is performed on the input data by using CNN, and then as an input to the LSTM, the extracted features are used for sequence prediction with the LSTM model.
Attractiveness of rural areas: development of initial definition

There has been a growing interest in assessing the attractiveness of territories, especially rural ones, from the perspective of stakeholders, such existing exiting rural populations, potential newcomers and new entrants. As part of the PoliRural project, the aim of the presented research was determined to create the initial vision (i.e. definition) of rural attractiveness by considering factors that influence people’s desire to live and work in rural areas. To that end, a mixed method approach combining qualitative and quantitative techniques was used. The overall research framework was executed in several sequential steps: brainstorming, literature review, survey questionnaire, data analysis, and evaluation. In defining rural attractiveness, two different but interrelated perspectives were considered, one focusing on people, the other on the entire rural ecosystem. During internal survey of project participants—respondents prioritized definitions by assigning points or scores on their preferred definition. Accordingly, an initial vision’s definition of rural attractiveness was created based on the highest assessment score.
Electronic transport and magnetization dynamics in magnetic systems

L'objectif de ce travail de these est de comprendre l'influence mutuelle entre le transport electronique et la dynamique de l'aimantation dans des nanostructures hybrides magnetiques metalliques. Dans une premiere partie on a developpe un modele theorique, base sur la theorie des matrices aleatories, pour decrire au niveau microscopique le transport dependent du spin dans une nanostructure heterogene. Ce modele, appele CRMT (pour Continuous Random Matrix Theory) a ensuite ete traduit dans un code de simulation qui permet de calculer les proprietes locales (couple de transfert de spin, accumulation de spin et courant de spin) et macroscopiques (resistance) du transport dans des conducteurs ohmiques. Le modele a ete valide en le comparant avec une theorie du transport quantique basee sur le calcul des fonctions de Green hors equilibre. Le couplage des ce deux modeles a permis d'effectuer une description multi­echelle du transport dans des nanostructures metalliques hybrides, ou les parties ohmiques sont decrites par CRMT et les parties purement quantiques par le formalisme des fonctions de Green. CRMT a ensuite ete incorpore dans un code de simulation micromagnetique, pour decrire de facon realiste la texture spatiale de la dynamique de l'aimantation induite par le transfert de spin. L'originalite de cette approche reside dans la modelisation des mesures spectroscopiques utilisant une detection mecanique de la resonance ferromagnetique, conduites sur des oscillateurs a transport de spin. Ce travail a permis d'obtenir le diagramme de phase dynamique de l'aimantation, ainsi que les regles de selection des ondes de spin et la competition entre les modes propres du systeme lors du passage d'un courant continu a travers la multicouche, en accord partiel avec les donnees experimentales
Influencing Factors of Grain Farmers’ Application Behavior to Adopt Organic Fertilizer from the Perspective of Heterogeneity—Based on The Empirical Study of 512 Farmers in Sichuan Province

Based on the survey data of 512 households in Sichuan Province, this paper uses the binary logistic model to analyze the influencing factors of organic fertilizer application behavior of grain farmers in the perspective of heterogeneity. The study shows that the organic fertilizer application behavior of grain farmers is a complex decision-making behavior under the interaction of various heterogeneous factors. In terms of human capital, grain farmers who are young, highly educated and have a large family labor force are more likely to apply organic fertilizers; in terms of economic capital, grain farmers with high household income and high proportion of agricultural income are more likely to apply organic fertilizer; in terms of social capital, grain farmers who joined farmers’ specialized cooperatives and received training on organic fertilizer and had some family members who have served as village cadres prefer to apply organic fertilizer. In terms of natural capital, the large scale of cultivated land and the low degree of fragmentation of cultivated land are conducive to promoting the application of organic fertilizers to grain farmers.
A general ESPRIT method for noncircularity-based incoherently distributed sources

In this paper, a reduced-rank direction-of-arrival (DOA) estimation algorithm for incoherently distributed (ID) noncircular sources based on a uniform linear array (ULA) is proposed. First the noncircularity property of the signal is utilized to establish an extended generalized array manifold (GAM) model based on the first-order Taylor series approximation. Then, the central DOA of source signals is obtained based on the generalized shift invariance property of the array manifold and the reduced-rank principle. Compared with the algorithm without exploiting the noncircularity information, the proposed algorithm can achieve a higher accuracy and handle more sources. Simulation results are provided to demonstrate the performance of the proposed algorithm.
Analysis of Gender-Specific Regulatory Mechanisms on the Oncogenesis and Prognosis of Glioblastoma Multiforme

In this paper, we focus on find out the key mRNAs and the key regulatory mechanism of the different morbidity of glioblastoma multiforme (GBM) in different genders. 160 GBM patients’ RNA expressed data and clinical data were downloaded from the TCGA GBM project. 103 differential expressed mRNAs (DEmRNAs) between male and female were screened from the RNA matrix by clustering analysis. In the gene ontology (GO) analysis, the DEmRNAs were enriched in 26 GOterms, including 17 biological process (BP), 4 cellular component (CC), 5 molecular function (MF). Among them, AGTR2, CALCA, CALCB, CTSG, GCG, GCGR, HCRT, PRL and RXFP4 were found that enriched in signal pathway hsa04080. A multivariate COX model was constructed by these 9 DEmRNAs. And GCGR, HCRT and CTSG were found as the co-expression mRNAs. In the clinical data analysis, the kmplot survival curve (p = 1.63e-03) indicated that the co-expression mRNAs and the hsa04080 signal pathway would be built the potential regulatory mechanism for the treatment of GBM in different genders’ patients. And it was then proved by receiver operating characteristic (ROC) curve and area under the curve (AUC) value (AUC=0.766).
CFD Model Validation for a Benchmark Data of Texas A&M 1/16th Scaled VHTR Upper Plenum

In High Temperature Gas-cooled Reactors (HTGR), gas flow patterns are very complex and reduced order models (1D or 2D) may be too simplified to predict accurate reactor performance. 3D Computational Fluid Dynamics (CFD) models can help provide the detailed information needed to optimize the reactor thermal performance. The main objective of this work is to validate the CFD models with data of a 1/16th scaled Very High Temperature Reactor (VHTR) upper plenum measured at Texas A&M University. In this paper, the flow characteristics of a single isothermal jet discharging into the upper plenum was investigated using Nek5000 Large-Eddy Simulation (LES) CFD tool. Several numerical simulations were performed for various jet Reynolds numbers ranging from 3,413 to 12,819. Grid independent study was performed. The numerical results of mean velocity, root-mean-square fluctuating velocity, and Reynolds stress were validated with the benchmark data. Good agreement was obtained between simulated and measured data for axial mean velocities, except near the upper plenum hemisphere. The maximum predicted errors for axial mean velocities at various normalized coolant channel diameter heights of 1, 5 and 10 are 1.56%, 1.88% and 3.82%, respectively. Also, the predicted root-mean-square fluctuating velocity and Reynolds stress are qualitatively agreed with the experimental data.
Procedure for detecting tobamovirus in tomato and pepper seeds decreases the cost analysis

The transmission of tobamovirus by tomato and pepper seeds is an important mean of virus introduction in crops. Therefore, detecting its presence in the seed becomes essential for the preventive control of virus diseases. In this study, a method was proposed for the detection of Tobacco mosaic virus (TMV) and Tomato mosaic virus (ToMV) in tomatoes (Solanum lycopersicum) and Pepper mild mottle virus (PMMoV) in pepper (Capsicum annum) seeds. Seed lots with different levels of incidence were analyzed by biological, serological, and molecular methods. Using DAS-ELISA technique, it was possible to detect TMV up to the limit rate of 1:170 (1 contaminated seed: total seeds) and the ToMV up to 1:200 in tomato seeds; PMMoV in pepper seeds was detected up to 1:140. The IC-RT-PCR detected the TMV and ToMV up to the PLANT PROTECTION Article Procedure for detecting tobamovirus in tomato and pepper seeds decreases the cost analysis João Eduardo Melo Almeida, Antonia dos Reis Figueira*, Priscilla de Sousa Geraldino Duarte, Mauricio Antônio Lucas, Nara Edreira Alencar Universidade Federal de Lavras Departamento de Fitopatologia Lavras (MG), Brazil. *Corresponding author: antonia@dfp.ufla. br Received: Sep. 19, 2017 – Accepted: Mar. 26, 2018 limit of 1:400 and PMMoV up to the limit of 1:300. The assembled lots containing only 1 contaminated seed in 1000 (1:1000) were combined into 30 sub lots for DAS-ELISA analysis and 10 sub lots for IC-RT-PCR analysis. Both techniques, DAS-ELISA and IC-RT-PCR, were efficient to detect the three viruses in all analyzed samples, but the detection of tobamoviruses with RT-PCR and biological tests was not reliable. Based on the results of this study, in which a combination of seeds in sub lots was made to reduce the number of tests performed, it is possible to make significant savings in the cost of the diagnostic methods routinely conducted in official laboratories, with high efficiency and reliability.
Trihoney reduces lipid peroxidation and enhances antioxidant enzyme activities in hypercholesterolaemic atherosclerotic rabbits

Oxidative stress and reactive oxygen species (ROS) constitute a major pathogenic mechanism for the development of atherosclerosis. In the present work, the antioxidant potential of Trihoney was investigated in hypercholesterolaemic rabbits. Thirty-six male New Zealand white (NZW) rabbits were grouped into: normal diet (C), normal diet with 0.6 g/kg/day of Trihoney (C+H), 1% cholesterol diet (HCD), 1% cholesterol diet with 0.3 g/kg/day of Trihoney (HCD+H1), 1% cholesterol diet with 0.6 g/kg/day of Trihoney (HCD+H2), and 1% cholesterol diet with 2 mg/kg/day of atorvastatin (HCD+At.). Animals were sacrificed following 12 weeks of treatment, and their serum was analysed for oxidised-low density lipoprotein (Ox-LDL). Serum and aortic tissue homogenate were assayed for superoxide dismutase (SOD), glutathione peroxidase (GPx), and malondialdehyde (MDA). Hypercholesterolemia caused a significant (p < 0.05) elevation in serum Ox-LDL and a significant (p < 0.05) reduction of antioxidant enzyme activities in serum of the HCD group. Trihoney induced a significant (p < 0.05) increase in antioxidant enzyme activities in serum as compared to the HCD group. The high cholesterol diet suppressed both antioxidant enzymes in aortic homogenate. Trihoney significantly (p < 0.05) enhanced both antioxidant enzymes in aortic homogenate. Hypercholesterolemia induced a significant (p < 0.05) elevation of serum lipid peroxidation in the HCD group. Trihoney caused a significant (p < 0.05) reduction of lipid peroxidation in aortic homogenate. These results demonstrated that Trihoney has the potential to ameliorate oxidative stress systemically, as well as locally in the atherosclerotic aorta.
THE EFFECTIVENESS OF FINANCING POLICY FOR THE DEVELOPING COMMUNITY FOREST PLANTATION

Community Plantation Forest, known as Hutan Tanaman Rakyat or HTR, is one of social forestry programs aiming at reducing economic inequality at rural community level. However, there is no evidence that HTR has improved the community welfare at the local level due to some problems particularly funding availability. This study aims to evaluate the effectiveness of financing policy in developing HTR carried out by the Public Service Agency of the Ministry of Environment and Forestry (BLU-KLHK) and to look for alternative sources of funding that might support the ongoing funding mechanism. Survey and focus group discussion (FGD) are methods used to collect the data. Qualitative descriptive, content analysis and Grindle theory approaches are implemented to analyze data. The results show that, based on the content of the policy, HTR financing mechanism managed by BLU-KLHK is efficient, comprehensive and prudent in regulating and facilitating the financial support to develop HTR. However, this funding policy has not been effective to support HTR business development at the implementation stages. Some other funding schemes that might be potential to support the development of HTR include LPDB, SBSN, Rural Area Development Program, and Village Fund.
Data Analysis in Social Media

: Over the last few years, the use of social media in our everyday lives has skyrocketed. The availability of good hardware devices at affordable prices and an increase in connectivity with lower data rates at most public places has made people increasingly use social media sites. Social networking sites like Twitter, LinkedIn, Facebook, Instagram, etc. are continually developing their products to make them addictive, engaging and convenient to use for people of any age or linguistic group. All of this results in a huge chunk of data that people around the world are generating at any moment. The huge size data is one of these top-scale corporations' most valuable assets. About 2.5 quintillion bytes of data was generated every day from the usage of social media sites in 2018, and it is increasing exponentially as a result of the Internet of Things. Also, 90 percent of this data was produced only in the last 3 years. Organizations make use of this data by analysing it using different methods and generating insights into context from the same. The observations arising from this are often used for different purposes.
ECOLOGY AND THE RAPD TECHNIQUES USED TO ASSESS THE GENETIC DIVERSITY IN PTEROLOBIUM HEXAPETALUM, A SCRAMBLING MEDICINAL SHRUB IN MARUTHAMALAI AND CHENNIMALAI HILLS, THE WESTERN GHATS

Objective: To investigate the ecological and genetic diversity, climatic factors, edaphic factors morphological and reproductive characters and RAPD analysis of medicinal plant species Pterolobium hexapetalum in two hills viz., Maruthamalai (arid) and Chennimalai (very arid), which is located in Coimbatore and Erode districts, Tamil Nadu. Methods: The present research was carried out by using a random amplified polymorphic DNA (RAPD) analysis was made to determine the genetic variation between the two populations of the medicinal shrub, Pterolobium hexapetalum in an environmental gradient. Among the five primers tested, the OPN7 (80 %) and OPN17 (71.4 %) produced higher polymorphism was used in RAPD analysis. Results: The results of RAPD analysis showed the presence of 51 individual bands were formed, out of which, 29 were polymorphic bands which showed the existence of genetic variation between populations. A dendrogram was constructed based on Jaccard’s coefficient to determine the degree of genetic relationship among the two populations and analysed. The primers OPN7 and OPN17 were clustered together at a genetic distance level 10. Considering the elevation and proximity, the temperature ranges from 18 °C to 37.6 °C in Maruthamalai hill and 20 °C to 39.4 °C in Chennimalai hill. Conclusion: From the morphoecological studies the results indicated that both arid and very arid climatic conditions showed slight differences in their vegetative and reproductive characters.
Phenolic Constituents of Vaccinium Species from Both Natural Resources and Micropropagated Plantlets

Fruits and leaves of Vaccinium species have rich bioactive phytochemicals. These bioactive phytochemicals make these plants particularly valuable for the medical and food industry. This novel approach was designed to determine the phenolic content of Vaccinium species obtained from both micropropagated and naturally growing leaves. An efficient micropropagation protocol was developed to produce tree Vaccinium species plantlets via direct organogenesis. Lateral buds containing one or two leaves were cultured in McCown woody plant medium (WPM), supplemented with zeatin/indole-3-butyric acid (IBA) (1.0/0.1 mg L –1 ). In conclusion, Protocatechuic acid, Chlorogenic acid, Syringic acid and Routine phenolic compounds were determined in significant amounts. It has been determined that the phenolic compounds of leaves produced in tissue cultures is higher than the phenolic compounds obtained from naturally growing leaves.
Fallout of Lead Over Paris From the 2019 Notre‐Dame Cathedral Fire

The roof and spire of Notre‐Dame cathedral in Paris that caught fire and collapsed on 15 April 2019 were covered with 460 t of lead (Pb). Government reports documented Pb deposition immediately downwind of the cathedral and a twentyfold increase in airborne Pb concentrations at a distance of 50 km in the aftermath. For this study, we collected 100 samples of surface soil from tree pits, parks, and other sites in all directions within 1 km of the cathedral. Concentrations of Pb measured by X‐ray fluorescence range from 30 to 9,000 mg/kg across the area, with a higher proportion of elevated concentrations to the northwest of the cathedral, in the direction of the wind prevailing during the fire. By integrating these observations with a Gaussian process regression model, we estimate that the average concentration of Pb in surface soil downwind of the cathedral is 430 (95% interval, 300–590) mg/kg, nearly double the average Pb concentration in the other directions of 240 (95% interval, 170–320) mg/kg. The difference corresponds to an integrated excess Pb inventory within a 1 km radius of 1.0 (95% interval, 0.5–1.5) t, about 0.2% of all the Pb covering the roof and spire. This is over 6 times the estimated amount of Pb deposited downwind 1–50 km from the cathedral. To what extent the concentrated fallout within 1 km documented here temporarily exposed the downwind population to Pb is difficult to confirm independently because too few soil, dust, and blood samples were collected immediately after the fire.