Miracle-dz/UniFAR-FTUs huggingface dataset:
ANTICONVULSANT ACTIVITY OF PORTULACA OLERACEA LINN. AND EUPATORIUM BRIMANICUM DC IN MES INDUCED SEIZURE: A COMPARATIVE STUDY

Objective: The study was aimed to evaluate and compare the anticonvulsant activity of aqueous leave extract of Portulaca oleracea Linn. and Eupatorium brimanicum DC in MES model in albino mice. Methods: Aqueous Extracts were prepared by the soxhlet extraction method. MES model was chosen to evaluate anticonvulsant activity. 36 albino mice were selected and divided into 6 groups for this model. Group I received 2% gum acacia 1 ml/100 g orally. Group II received phenytoin-20 mg/kg orally. Group III and IV received 200 and 400 mg/kg of Portulaca oleracea Linn. Respectively. Group V and VI received 200 and 400 mg/kg of Eupatorium brimanicum DC respectively. Results: The extracts didn’t show any toxicity and significantly reduced hind limb tonic extension (HLTE) duration in MES model (50 mA, 0.2 sec) at higher doses. Conclusion: The results suggest Portulaca oleracea Linn. and Eupatorium brimanicum DC extract possess anticonvulsant activity and justify their use in folk medicine.
Thermodynamic Constraints on Smectite and Iron Oxide Formation at Gale Crater, Mars: Insights into Potential Free Energy from Aerobic Fe Oxidation in Lake Water–Groundwater Mixing Zone

The presence of saponite and iron oxides in Sheepbed mudstone of Yellowknife Bay at Gale crater on Mars is considered as evidence of a habitable fluvio-lacustrine environment for chemolithoautotrophy. However, the energetic availability for metabolic reactions is poorly constrained. Herein, we propose the possible mixing of surface water and groundwater that (i) explains the formation of magnetite and hematite detected in Sheepbed mudstone and (ii) may work as a potential habitable zone for aerobic Fe2+-oxidizing microbes. Our thermodynamic modeling of water–rock reactions revealed that the formation of abundant saponite in Sheepbed mudstone may occur under various conditions of water-to-rock mass ratios, temperatures (5–200 °C), and initial fluid compositions. In contrast, the formation of iron oxides in the mudstone can be explained only by the mixing of Fe2+-rich groundwater and more oxidized surface waters, where the Fe2+-rich groundwater can be generated by the low-temperature water–rock reactions with a CO2-bearing initial fluid. The calculated bioavailable energy of aerobic Fe2+ oxidation in the fluid-mixing zone on Mars is similar to that estimated for a fluid-mixing zone on Earth actually inhabited by aerobic Fe2+-oxidizing microbes. The findings will contribute to a better understanding of potential habitability on Mars.
Evaluating the responses of three closely related small mammal lineages to climate change across the Paleocene–Eocene thermal maximum

Abstract. Interpreting the impact of climate change on vertebrates in the fossil record can be complicated by the effects of potential biotic drivers on morphological patterns observed in taxa. One promising area where this impact can be assessed is a high-resolution terrestrial record from the Bighorn Basin, Wyoming, that corresponds to the Paleocene–Eocene thermal maximum (PETM), a geologically rapid (∼170 kyr) interval of sustained temperature and aridity shifts about 56 Ma. The PETM has been extensively studied, but different lines of research have not yet been brought together to compare the timing of shifts in abiotic drivers that include temperature and aridity proxies and those of biotic drivers, measured through changes in floral and faunal assemblages, to the timing of morphological change within mammalian species lineages. We used a suite of morphometric tools to document morphological changes in molar crown morphology of three lineages of stem erinaceid eulipotyphlans. We then compared the timing of morphological change to that of both abiotic and other biotic records through the PETM. In all three species lineages, we failed to recover any significant changes in tooth crown shape or size within the PETM. These results contrast with those documented previously for lineages of medium-sized mammals, which show significant dwarfing within the PETM. Our results suggest that biotic drivers such as shifts in community composition may have also played an important role in shaping species-level patterns during this dynamic interval in Earth history.
Curation, morphology and encounter: the Jordanian Royal Tank Museum (RTM)

ABSTRACT This research traces the architectural spatial and curatorial intentions of (RTM) in Jordan, focusing on the arrangement of the displays and the morphology of the layout as pedagogical tools for unfolding the narrative. A case study approach was taken, with three modes of inspection: (1) a survey documenting RTM’s interiority and spatial organisation; (2) a syntactic-analytic-layer to examine how the museum’s permeability and visibility structures control visitors’ experiences; (3) an ethnographic-analytic-layer, with observations and interviews to document visitors’ exploratory behaviours. The museum employs a combination of architectural and internal semiotic settings. In some instances, strictly defined sequences of movement and visual frames impose a chronological-historical message. In others, RTM privileges well-defined sequences of exploration along less intricate subdivisions to confront visitors with choreographed thematic displays of contemporary and international messages. This study proposes a new methodology for investigating tank museums, situating the traditional ethnographic approach inside a broader morphological-syntactical alternative.
A STUDY ON CUSTOMER PERCEPTION AND ATTITUDE TOWARDS 3D VIRTUAL REALITY SHOPPING

An innovative technology application that creates textures of real store shopping experience may generate a rapid momentum in the e-retailing sector. In virtual reality (VR) stores consumers can not only virtually walk anywhere, but they can also interact with the virtual reality store by, right, left, up and down and looking around thereby viewing the shop. There is a comparison difference between existing in user boundaries and Computer-generated systems in 3D environment. creating a simulated artificial world, the computer virtually makes sensory feelings as much as possible, like hearing, vision, touch, even smell. The virtual reality web store could redefine the experience of online shopping and allows in creating an immersive experience that renovate the physical shopping voyage, that from home or anywhere that customers desire. Virtual Reality in Retailing is an innovative proposal that helps the customer to look around the store with a complete 360-degree view along with the controller that helps in the purchase. perceived entertaining and fun that felt by the shoppers to the extent to which online shopping they do. Better informational base helps the consumers to make more informed decisions that make them increase their satisfaction in the online shopping process perceived ease of use could implicit as the degree to which the online shopping customer have faith in that shopping will be free. the effect of the price perception and found impact of price perceptions on behavioral-intention. privacy is a conscious effort of e-retailor in dealing with customer data and information.
Response to Telemedicine Visits From Patients With Parkinsonism During the COVID-19 Pandemic on Postvisit Surveys

Parkinson’s disease and parkinsonism are common chronic neurodegenerative disorders that tend to affect older adults and cause physical and sometimes cognitive limitations. Given that these limitations could impact successful telemedicine use, we aimed to investigate the experiences of patients with parkinsonism using telemedicine during the COVID-19 pandemic. A 19-item survey was emailed to patients with parkinsonism following telemedicine visits at a single US tertiary care parkinsonism specialty clinic. Seventy-four individuals responded, out of 270 invitations sent. Almost two-thirds (61.6%) of the respondents were comfortable with using technology in general, and almost all were very satisfied with their telemedicine experience. The most commonly reported benefits included cost and travel savings, ease of access to a specialist, and time savings. Issues with technology and previsit instructions were the most commonly identified challenges (28%). Urgent implementation, due to the pandemic, of telemedicine care for patients with parkinsonism was feasible and well received. The challenges most commonly reported by patients could be potentially alleviated by better education and support.
Orofacial clefts associated with cardiac anomalies

METHODS: Retrospective study of patients attended in the Cleft Lip and Palate Multidisciplinary Group outpatient clinic at Hospital Universitario São João, Porto-Portugal. Medical records from January 1992 through December 2018 were reviewed. Patients were divided into four groups according to the Spina classification: cleft lip (CL), cleft lip and palate (CLP), isolated cleft palate (CP) and atypical cleft (AC). Further categorization included gender, affected relatives, associated congenital anomalies and syndromes.
Processos de aprendizagem em equipe de projeto que utiliza metodologia ágil

Abstract Information Technology (IT) organizations that use agile methodology depend on the learning processes of their project teams, since they are the ones that facilitate the effective development of the organization's products and services. Understanding how the learning process of project teams using agile methodology in a real context occurs can help in the development of procedures to increase the project success rate. This article aims to describe how the learning process of a project team of a large IT organization in southern Brazil occurs that uses the agile methodology in the execution of its projects. The theoretical perspective used was team processes, which considers learning as the iterative process of reflection-action behaviors among team members during the performance of their work. A case study was prepared based on the systematic observation of team meetings, which were analyzed through thematic analysis. Of the 1027 sections of speech categorized as learning behaviors during meetings, 64% refer to reflection behaviors and 36% to action behaviors. The results analysis indicates that reflection behaviors promote action behaviors and that the interface between learning behaviors is continuous. Reinforcing certain behaviors helps team members to understand what is expected and which decisions are most appropriate. It is concluded that the agile methodology helps in the composition of a learning environment and, finally, a proposal for future research on the investigated theme is presented.
Effect of diet nutrients density on performance and egg quality of laying hens during the post-peak production phase of the first laying cycle under subtropical climate

Abstract An experiment was done to evaluate the effects of diet nutrients density on performance and egg quality in laying hens during the post-peak production phase of the first laying cycle under subtropical climate. A total of 768, 49-weeks-old Hy-Line-W36 laying hens were assigned in a completely randomised design with six treatments, eight replicates, and 16 birds each. Experimental treatments were given the diet with nutrients density recommended by the Hy-Line-W36 guide for their age and level of production (100%) or were given 92, 94, 96, 98, and 102% of that. During the experimental period, the average ambient temperature and humidity were 27.41 ± 2.54 °C and 35 ± 5%, respectively. By increasing diet nutrients density significantly improved egg production (EP), egg weight (EW), egg mass (EM), feed conversion ratio (FCR). Also, egg crude protein and yolk ether extract composition, egg special gravity and relative shell weight significantly increased as increased diet nutrient density. Average bird’s daily feed intake (FI), eggshell thickness, Haugh unit and solid percentage did not affect by diet nutrients density. By linear broken-line models, the diet nutrients density for optimised EP, EM, and FCR were estimated at 97.93, 97.57, and 100% of strain recommendation, respectively. It is concluded, laying hens during the post-peak production phase of the first laying cycle and under subtropical climate was not able to adjust FI with diet dilution. Nutrient requirements varied to what productive parameter was taken for optimisation. Optimum FCR was achieved when the diet was formulated to followed strain recommendations. HIGHLIGHTS Hy-Line-W36 laying hens during the post-peak production phase of the first laying cycle and under subtropical climate cannot adjust their feed intake with dietary nutrients dilution.
Fault tolerant resource allocation in fog environment using game theory‐based reinforcement learning

Realtime decision making is associated with an on‐demand, latency aware resource allocation. Fog nodes along with cloud infrastructure, when used effectively can ensure real‐time decision making. In this article, we propose an efficient resource allocation and fault tolerance mechanism for the fog layer. Our work takes the advantage of game theory, where Nash equilibrium is the initial allocation strategy, which is then passed on to the reinforcement learner. The allocation is done proactively based on the network status and traffic history. The performance of our system is compared with the existing open shortest path first and neural network algorithms. Besides, fault tolerance mechanism has also been proposed which takes the advantage of the fail‐over cluster formation to find the link failure and provide an alternate path in the smart switch, which is the networking component of the fog network. The proposed work gives an improved recovery time and average service time in case of failure with a recovery time of 32 ms. The experimental results are justified in terms of improved service time, lower delay, and optimal energy utilization.
Summation pollution of principal component analysis and an improved algorithm for location sensitive data

Principal component analysis (PCA) is widely used for dimensionality reduction and unsupervised learning. The reconstruction error is sometimes large even when a large number of eigenmode is used. In this paper, we show that this unexpected error source is the pollution effect of a summation operation in the objective function of the PCA algorithm. The summation operator brings together unrelated parts of the data into the same optimization and the result is the reduction of the accuracy of the overall algorithm. We introduce a domain decomposed PCA that improves the accuracy, and surprisingly also increases the parallelism of the algorithm. To demonstrate the accuracy and parallel efficiency of the proposed algorithm, we consider three applications including a face recognition problem, a brain tumor detection problem using two‐ and three‐dimensional MRI images.
Estimation method for inverse problems with linear forward operator and its application to magnetization estimation from magnetic force microscopy images using deep learning

ABSTRACT This study considers an inverse problem, where the corresponding forward problem is given by a finite-dimensional linear operator T. The inverse problem has the following form: It is assumed that the number of patterns that the unknown quantity can take is finite. Then, even if the unknown quantity may be uniquely determined from the data. This case is the subject of this study. We propose a method for solving this inverse problem using numerical calculations. A famous inverse problem requires the estimation of the unknown magnetization distribution or magnetic charge distribution in an anisotropic permanent magnet sample from the magnetic force microscopy images. It is known that the solution of this problem is not unique in general. In this work, we consider the case where a magnetic sample comprises cubic cells, and the unknown magnetic moment is oriented either upward or downward in each cell. This discretized problem is an example of the above-mentioned inverse problem: Numerical calculations were carried out to solve this model problem employing our method and deep learning. The experimental results show that the magnetization can be estimated roughly up to a certain depth.
Present and Future High-Resolution Climate Forcings over Semiarid Catchments: Case of the Tensift (Morocco)

In semiarid areas, the climate is characterized by strong spatiotemporal variability while the meteorological ground network is often very sparse. In this context, the spatial distribution of meteorological variables is thus a real issue for watershed hydrology, agronomy and the study of surface–atmosphere retroaction in these regions. The aim of this study is twofold: (1) to evaluate and to adapt a reanalysis system “Système d’Analyse Fournissant des Renseignements Adaptés à la Nivologie” (SAFRAN) to map the meteorological variables on the Tensift catchment (Morocco) between 2004 and 2014; (2) to project temperature and precipitation for the 2041–2060 horizon at high-resolution based on the Euro-CORDEX database at 12 km resolution (using two Representative Concentration Pathway -RCPs- scenarios and four Regional Climate Models), on the SAFRAN reanalysis and on a network of meteorological stations. SAFRAN was assessed: (1) based on leave-one-out for a station located in the plain and another in the mountains; (2) by comparison to another re-analysis system named the Meteorological Distribution System for High-Resolution Terrestrial Modeling (MicroMet); (3) by comparison to in situ measurements of snowfall at one station and to the daily Snow Cover Area derived from the Moderate-Resolution Imaging Spectroradiometer (MODIS) product at the catchment scale. The evaluation of the SAFRAN reanalysis showed that an irregular grid up to 1 km resolution is better for reproducing meteorological variables than the regular version of SAFRAN at 8 km, especially in mountains. The projection of the SAFRAN forcing is conducted in three steps corresponding to the three subsections below: (1) disaggregation of the Euro-CORDEX climate scenarios using the Q–Q approach based on stations data; (2) computation of the spatialized delta-change between historical and future Euro-CORDEX runs after Q–Q correction; (3) futurization of SAFRAN using the spatialized delta change values. The mountainous area is expected to face a higher increase in air temperature than the plains, reaching +2.5 °C for RCP8.5 and +1.71 °C for RCP4.5 over 2041–2060. This warming will be accompanied by a marked decrease in precipitation (−16% for RCP8.5). These present and future spatialized data sets should be useful for impact studies, in particular those focusing on water resources.
Immune Cell as a Promising Biomarker in the Diagnosis and Prognosis of Cutaneous Melanoma by Using Machine Learning

Background: Tumor infiltration, is known to associate with various cancer initiations and progressions, is potential therapeutic target for this aggressive skin cancer.Methods: single sample gene set enrichment analysis (ssGSEA) algorithm was applied to assess the relative expression of 24 types of immune cell from public database. Firstly, the differentially expressed immune cells between melanomas and normal samples were identified. Next, multiple machine learning algorithms were performed to evaluate the efficiency of immune cells in diagnosis of melanoma. In addition, the feature selection in machine learning methods was used to figure out the most important prognostic immune cells for developing biomarker to predict the prognosis of melanoma.Results: In comparison with the expression of immune cells in tumors and normal controls, we built the immune diagnostic models in training dataset, which can accurately classify melanoma patients from normal (LR AUC= 0.965, RF AUC= 0.99, SVM AUC=0.963, LASSO AUC= 0.964 and NNET AUC=0.989). These diagnostic models also validated in three outside datasets and suggested over 90% sensitivity and specificity to distinguish melanomas from normal patients. Moreover, we also developed a robust immune cell biomarker which could estimate the prognosis of melanoma. This biomarker also further validated in internal and external datasets. Next, we constructed nomogram combined risk score of biomarker and clinical characteristics, which showed good accuracies in predicting 3 and 5 years’ survival. The decision curve of nomogram model manifested a higher net benefit than tumor stage. In addition, melanoma patients divided into high and low risk subgroups by applied risk score system. The high risk group have a significantly shorter survival time than the low risk subgroup. Gene Set Enrichment Analysis (GSEA) analysis revealed that complement, epithelial mesenchymal transition and inflammatory response and so on significantly activated in high risk group. Conclusions: We constructed immune cell related diagnostic and prognostic models, which could provide new clinical applications for diagnosing and predicting the survival of melanoma patients.
Chinese UMUX: Cross-Cultural Adaptation for Perceived Usability Measurement

ABSTRACT A new Usability Metric for User Experience (UMUX) is translated and validated for native Chinese speakers in this study. The forward-backward translation method is applied to translate the UMUX. The results are optimized through structure-back interviews to obtain a final, unambiguous UMUX version. The Chinese version of the UMUX questionnaire is proven to have high reliability, sensitivity, and effectiveness. The correspondence between the Chinese UMUX version, UMUX-LITE, and SUS is also investigated. The results of this work may provide Chinese usability practitioners with a standardized scale after rigorous testing, as well as a closer understanding of the relationship between the three questionnaires in assisting users to make sound choices.
Genome-Wide Association Study (GWAS) For Cold Tolerance at The Bud Burst Stage in Rice Using SNP Markers

Background: Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there were limited studies focusing on cold tolerance at the bud burst stage, therefore, considerable attention should be paid to the genetic basis of cold tolerance at the bud burst stage (CTBB). Results: In this study, a natural population consisting of 211 rice landraces collected from 15 provinces of China and other countries were firstly used to evaluate the cold tolerance at the bud burst stage. Population structure analysis showed that this population divided into three groups and was rich in genetic diversity. Our evaluation results confered that the japonica rice was more tolerance to cold at the bud burst stage than indica rice. Genome-wide association study (GWAS) were performed through the phenotypic data of 211 rice landraces and 36,727 SNPs dataset under a mixed linear model, and 12 QTLs (P < 0.0001) were identified according to the seedling survival rate (SSR) treated at 4 ℃, in which there are five QTLs (qSSR2-2, qSSR3-1, qSSR3-2, qSSR3-3 and qSSR9) which were co-located with previous studies, and seven QTLs (qSSR2-1, qSSR3-4, qSSR3-5, qSSR3-6, qSSR3-7, qSSR4 and qSSR7) which were reported for the first time. Among these QTLs, qSSR9, harboring the highest-peak SNP, explained biggest phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were nominated as candidates for qSSR9. Conclusion: This natural population consisting of 211 rice landraces with high density SNPs will serve as a better choice for identifying rice QTLs/genes in future, and the detected QTLs associated with cold tolerance in rice bud burst stage will be conducive to further mining favorable genes and breeding of rice varieties under cold stress.