Miracle-dz/UniFAR-FTUs huggingface dataset:
Phytochimic Study, Antioxidant Activity and Nutritional Interest of Extracts from Leaves of Khaya senegalensis (Desr) A. Juss (Meliaceae) Collected in the Northern Cote d'ivoire

Medicinal and food plants contain a large number of metabolites that have multiple interests in pharmacology, cosmetology and the food industry. The aim of this study was to determine the content of phenolic and flavonoid compounds, to evaluate the antioxidant activity and to raise the Original Research Article Monon et al.; JPRI, 31(6): 1-10, 2019; Article no.JPRI. 52509 2 nutritional interest of extracts from leaves of Khaya senegalensis. The methodological approach consisted of carrying out extractions with distilled water, ethanol, methanol and butanol. The extracts thus obtained were subjected to phytochemical analysis by spectrophotometric assay to determine the content of minerals, total phenols and flavonoids and to evaluate the antioxidant activity. The investigations revealed that K. senegalensis leaves extract have a high calcium content (948.38 ± 11.57 mg / 100 g), magnesium (188.24 ± 0.97 mg / 100 g), phosphorus (304.98 ± 2.6 mg / 100 g) and iron (41.50 ± 1.57 mg / 100 g). A high content of total phenols and flavonoids was observed with butanol extract (91.53 ± 0.04 mg EAG / g extract) and (75.58 ± 0.05 mg EQ / g extract) respectively. The ethanol and methanol extracts recorded the best performances by reducing the residual iron while the aqueous and butanol extracts obtained the IC50 values closest to those of the reference viz vitamin C and BHT. This studyshowed that K. senegalensis leaves are a source of active substances known for their therapeutic and nutritional properties. The leaves of K. senegalensis could be used to treat various pathologies and also as an alternative in cattle feeding.
Designing Game-based Learning To Foster The Cross Cultural Cognition

Boredom would be the biggest challenge in realizing a successful learning - effective and joyful learning. Boredom could happen in any learning when the students learn what they do not need or and they do not enjoy the conventional way of learning. In this case study, the writer would design game-based learning to foster the cross cultural cognition in Business Cross Cultural materials. By designing and playing games for learning BCC materials, the writer tried to create the effective and joyful learning. In this research, the writer would use fives phases of the research in designing the game-based learning. Moreover, the writer would investigate their joy and effectiveness of learning by using two different groups of totally 40 participants of Business English students that learn BCC - the experiment group that would use the game-based learning and the controlling group that had learnt without it. And the research results are there was insignificant difference in cognitive learning but the game-based learning could enhance the joy and motivation of learning.
Ingénierie des propriétés diélectriques d'oxydes pérovskites par nanostructuration jusqu'à l'échelle de la monocouche

Les travaux menes dans le cadre de cette these ont porte sur l’ingenierie de la croissance epitaxiale (par epitaxie par jets moleculaires, MBE) et des proprietes d’oxydes fonctionnels perovskites ABO3. Ces materiaux suscitent un interet fort, du fait notamment de leur grande flexibilite chimique et structurale donnant acces a de nombreuses proprietes physiques : ferroelectricite, piezoelectricite, supraconductivite a hautes temperatures, thermoelectricite, etc…. Dans ce contexte, l’objectif de cette these etait d’utiliser la souplesse et le controle ultime de la croissance offerts par l’MBE pour exploiter au mieux cette flexibilite chimique et structurale et demontrer le potentiel des couches minces, des superreseaux et des phases de Ruddlesden-Popper bases sur le SrTiO3 et le LaSrTiO3 pour des applications en photonique. Nous avons en particulier demontre que de telles structures, si elles sont controlees, ouvrent des perspectives importantes pour la plasmonique, pour la realisation de metamateriaux optiques aux performances inegalees, et pour la fabrication de couches minces fortement anisotropes. Plus specifiquement, les principaux resultats de cette these sont (i) la mise en evidence des excellentes proprietes plasmoniques dans l’infrarouge des couches minces conductrices de LaxSr1-xTiO3 (SrTiO3 dope au La), et leur forte accordabilite obtenue en controlant la concentration en La, (ii) la demonstration d’une nouvelle classe de metamateriaux hyperboliques dans l’infrarouge constitues de superreseaux LaxSr1-xTiO3/SrTiO3, dont l’hyperbolicite peut etre largement accordee, et dont les performances surpassent celles des meilleurs metamateriaux hyperboliques bases sur du ZnO dope au Ga ou a l’Al, et (iii) l’exploration de la croissance et de l’anisotropie optique potentiellement tres forte des phases homologues de Ruddlesden-Popper a base de SrTiO3 (Srn+1TinO3n+1). Ces resultats originaux ouvrent des perspectives interessantes pour l’utilisation de couches minces et de superreseaux structures jusqu’a l’echelle de la monocouche a base d’oxydes perovksites pour des applications a la photonique.
A deep learning approach for daily tourist flow forecasting with consumer search data

ABSTRACT This study introduces the concept of long short-term memory (LSTM) network to handle complex time series forecasting problems in the tourism industry. To validate the efficiency of the developed method, we used the daily tourist flow and consumer search data of Jiuzhaigou, a popular tourist spot in China, from 8 October 2013 to 7 August 2017 as the experimental dataset for empirical analysis. According to the 150-day forecasting results, LSTM shows the best statistical performance in the training and test sets compared with its counterparts.
Quantitative Sensory Interpretation of Rheological Parameters of a Cream Formulation

As the popularity of a cosmetic product on the market extensively depends on consumers’ perception, it is important for the sensory evaluation to be accurate during the product developmental stage. The focus of this study was to develop a generic method for the quantitative assessment of the sensory attributes of cosmetic creams. Four 100 g oil-in-water (O/W) model creams, containing loaded niosomes and their baselines (without niosomes), were formulated. Quantitative sensory evaluation of the formulated oil-in-water products were performed in three different stages: (a) appearance—pourability (b) pick-up—firmness and elasticity/stretchability (c) rub-out—spreadability and stickiness, using rheological measurements. All measurements were carried out at skin temperature, 32 ± 1 °C, and a relative humidity (RH) of 33%. The quantitative analysis showed all cream models exhibited shear-thinning, non-Newtonian behavior. Rheological parameters from the yield stress, amplitude sweep and frequency sweep tests were found to provide realistic correlations for the sensory characteristics of pourability and spreadability, firmness, elasticity/stretchability and stickiness, respectively. This novel quantitative assessment method of the sensory characteristics of a cream proved to be highly effective and can be universally applied.
A Balancing Act: Agency and Constraints in University Students’ Understanding of and Responses to Sexual Violence in the Night-Time Economy

This article extends our understanding of how university students make sense of, and respond to, sexual violence in the night-time economy (NTE). Based on semi-structured interviews with 26 students in a city in England, we examine students’ constructions of their experiences of sexual violence within the NTE, exploring their negotiations with, and resistance to, this violence. Building upon theories of postfeminism, we interrogate the possibilities for resistance within the gendered spaces of the NTE and propose a disaggregated conceptualization of agency to understand responses to sexual violence, thereby offering useful insights for challenging sexual violence in the NTE and in universities.
Working Together across Primary Care, Mental Health & Addictions: Exploring the Association between the Formalization of Organizational Partnerships & Collaboration among Staff Members

The purpose of this study was to explore the relationship between the formalization of inter-organizational partnerships and collaboration among staff members working together across primary care, mental health and addition organizations to provide services to adults with complex mental health and addiction needs. Phase I of the study provided an environmental scan of existing partnerships among Family Health Teams (FHTs) and Community Health Centres (CHCs), and the Mental Health and/or Addiction (MHA) organizations they partner with, in the province of Ontario (Canada). Phase II explored the relationship between formalization and a) administrative collaboration and b) and service delivery collaboration. The hypotheses proposed that staff members who are part of formalized partnerships would report higher levels of collaboration. Phase III explored how formal and informal partnerships and collaboration are experienced by the administrative and service provider staff members who work across FHTs, CHCs and MHAs organizations. Using a mixed methods approach, data were collected using electronic surveys and telephone interviews. The results of Phase I indicated that FHTs and CHCs in Ontario have between 1-3 partnerships with MHA organizations. Most are informal partnerships, have existed for less than 5 years, and most staff members (partners) interact on a monthly basis. The quantitative results of
Hierarchical Orchestration of Disaggregated Memory

This article presents XMemPod, a hierarchical disaggregated memory orchestration system. XMemPod virtualizes cluster wide memory to scale large memory workloads in virtualized clouds. It makes three novel contributions: (1) XMemPod offers efficient, transparent, and dynamic sharing of available memory that is disaggregated across VMs on the same host or in the cluster. (2) XMemPod provides a hierarchical memory expansion framework, which enables memory-intensive workloads on a VM to expand its memory demand over virtualized host memory first, and remote memory next, before resorting to external disk. (3) XMemPod provides a suite of optimization techniques to further improve the utilization and access latency of disaggregated memory. XMemPod is deployed on a virtualized RDMA cluster without any modifications to user applications and the OSes. Evaluated with multiple workloads on unmodified Spark, Apache Hadoop, Memcached, Redis and VoltDB, using XMemPod, throughputs of these applications improve by 11x to 612x over conventional Linux, and by 1.7x to 14x over the existing representative remote memory paging systems, and yet the total amount of network traffic consumed by XMemPod is only 24 percent of the existing approaches.
PSOC4 Based Intelligent Water Consumption Meter

An intelligent water consumption meter system has been designed. The measurement system has been developed using Cypress Semiconductor PSoC4 systemon-a-chip. The hardware part has been designed to perform water flow measurements, temperature and pressure monitoring. Developed Android application has been used to communicate with hardware using the Bluetooth LE interface. Overpressure detection procedure was developed to prevent emergency cases. The user has been able to monitor water use in real-time, configure system remotely and control external pipe valve. Advanced mode has been added to reset measuring results, select liquid type and recalibrate system should it be necessary.
DPHL: A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery

To answer the increasing need for detecting and validating protein biomarkers in clinical specimens, proteomic techniques are required that support the fast, reproducible and quantitative analysis of large clinical sample cohorts. Targeted mass spectrometry techniques, specifically SRM, PRM and the massively parallel SWATH/DIA technique have emerged as a powerful method for biomarker research. For optimal performance, they require prior knowledge about the fragment ion spectra of targeted peptides. In this report, we describe a mass spectrometric (MS) pipeline and spectral resource to support data-independent acquisition (DIA) and parallel reaction monitoring (PRM) based biomarker studies. To build the spectral resource we integrated common open-source MS computational tools to assemble an open source computational workflow based on Docker. It was then applied to generate a comprehensive DIA pan-human library (DPHL) from 1,096 data dependent acquisition (DDA) MS raw files, and it comprises 242,476 unique peptide sequences from 14,782 protein groups and 10,943 SwissProt-annotated proteins expressed in 16 types of cancer samples. In particular, tissue specimens from patients with prostate cancer, cervical cancer, colorectal cancer, hepatocellular carcinoma, gastric cancer, lung adenocarcinoma, squamous cell lung carcinoma, diseased thyroid, glioblastoma multiforme, sarcoma and diffuse large B-cell lymphoma (DLBCL), as well as plasma samples from a range of hematologic malignancies were collected from multiple clinics in China, the Netherlands and Singapore and included in the resource. This extensive spectral resource was then applied to a prostate cancer cohort of 17 patients, consisting of 8 patients with prostate cancer (PCa) and 9 with benign prostate hyperplasia (BPH), respectively. Data analysis of DIA data from these samples identified differential expressions of FASN, TPP1 and SPON2 in prostate tumors. Thereafter, PRM validation was applied to a larger PCa cohort of 57 patients and the differential expressions of FASN, TPP1 and SPON2 in prostate tumors were validated. As a second application, the DPHL spectral resource was applied to a patient cohort consisting of samples from 19 DLBCL patients and 18 healthy individuals. Differential expressions of CRP, CD44 and SAA1 between DLBCL cases and healthy controls were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supported that DIA-PRM MS pipeline enables robust protein biomarker discoveries.
Practical Design Methodology of IH and IPT Dual-Functional Apparatus

A domestic induction heating (IH) apparatus uses series resonance to transfer the electric energy to the IH vessel. Similarly, an inductive power transfer (IPT) utilizes the resonance to transfer power to the secondary side. Therefore, the IPT function can be integrated into the IH apparatus by sharing the IH power stage as the primary side of the IPT. In this article, a practical design methodology of the IH and IPT (IH-IPT) dual-functional apparatus is proposed. The design considerations of the IPT mode are discussed, such as the power stage design limitation and practical implementation to increase the compatibility to the IH apparatus. Moreover, the design methodology of the IPT mode is provided based on the design considerations. The validity of the proposed design methodology is evaluated through experimental results with an IH-IPT prototype.
Credit Rating Strategies: A Study of GCC Banks

Identifying financial strategies, which help a bank to survive a crisis, is the main purpose of the article. Low oil prices and the COVID-19 pandemic is the latest crisis being faced by the Gulf Cooperation Council (GCC) banks. This article examines the financial strategies of those banks that managed to retain good credit ratings both before and after the global financial crisis, so as to throw light on the characteristics of banks that managed to remain steady and stable. This article analyzes the Fitch credit ratings of 51 Islamic and conventional banks, operating in the GCC, divided into pre–global financial crisis (2002–2007) and post–global financial crisis (2008–2013) periods. Trend and behavior of average ratios of top-rated banks in both the periods is first attempted before moving to the “Ordered Choice Logit” regression method to further analyze the data. Regression results indicate that size and cost management are very important factors in ratings both before and after the financial crisis. As long as asset quality is under control, liquidity is the focal point in achieving good ratings. Top-rated Islamic banks seem to be following a strategy of allowing capital ratios to trend down during a crisis as long as capital is well above the regulatory requirements. The article is the first of its kind, which examines credit rating strategies of GCC Islamic banks and conventional banks. The findings of the article are useful for banks as they throw light on appropriate strategies to be adopted by banks during crises.
Two-Parameter Logistic-Exponential Distribution: Some New Properties and Estimation Methods

Abstract The logistic exponential (LE) distribution is the only two parameter distribution that exhibits five hazard rate shapes such as constant, increasing, decreasing, bathtub, and upside-down bathtub. Due to its practical utility, this article considers ten frequentist methods of estimation, namely, maximum likelihood, least square, weighted least square, percentiles, maximum and minimum spacing distance, and variant of the method of the minimum distances for the LE parameters. A Monte Carlo simulation study is carried out to compare the performance of these estimation methods. Furthermore, Bayesian estimation under the squared error loss function assuming gamma priors for both parameters of the LE distribution is also discussed. The posterior summaries are obtained by using a Markov chain Monte Carlo algorithm. To show the practical superiority, a real-life data is analyzed to show that the LE model performs better than the well-known two-parameter models, like, exponentiated-exponential, Nadarajah–Haghighi, Birnbaum–Saunders, Weibull, Gamma, inverse Gaussian, and log-normal.
Patch size distribution and network connectivity affect species invasion dynamics in dendritic networks

Biological invasions are globally affecting ecosystems, causing local species loss and altering ecosystem functioning. Understanding the success and unfolding of such biological invasions is thus of high priority. Both local properties and the spatial network structure have been shown to be determinants of invasion success, and the identification of spatial invasion hubs directly promoting invasion dynamics is gaining attention. Spatial dynamics, however, could also indirectly alter invasion success by shaping local community structure: in many ecosystems, such as riverine networks, regional properties such as patch size distribution are known drivers of local community structures, which themselves may affect the establishment success of invading species. Using microcosm experiments in dendritic networks, we disentangled how patch size distribution and dispersal along specific network topologies shaped local communities, and, subsequently, affected the establishment success of invading species. We find that inherent patch size distributions shaped composition and diversity of local communities, and, subsequently, modulated invasion success. Specifically, the relationship between local diversity and invasion success changed across an increasing patch size gradient from a negative to a positive correlation, while overall increasing patch size reduced invasion success. Connectivity did not have a direct effect on invasion success but indirectly affected invasions by shaping diversity patterns in the whole network. Our results emphasize the relevance of indirect, landscape-level effects on species invasions, which need to be considered in the management of spatial habitat networks.
Evaluation of Simulated Drop Size Distributions and Microphysical Processes Using Polarimetric Radar Observations for Landfalling Typhoon Matmo (2014)

The Morrison (Morr), Thompson (Thom), Thompson aerosol‐aware (ThomA), and WRF double‐moment 6‐class (WDM6) microphysics schemes within the WRF model are used to simulate landfalling Typhoon Matmo (2014) and evaluated against polarimetric radar observations in terms of raindrop size distribution (RSD) and microphysical processes. Focus is placed on the inner rainband convection. Only ThomA is able to reproduce observed RSD characteristics having even smaller mean raindrop sizes and larger number concentrations than those of typical maritime convection, when measured in terms of mass‐weighted mean diameter and normalized RSD intercept parameter. The diagnoses of microphysical transfer terms show that warm rain processes are dominant in all experiments. The accretion and autoconversion processes dominate the production of rainwater content and raindrop number concentration, respectively. Examinations of vertical profiles of hydrometeor masses and number concentrations as well as rainwater‐related microphysical transfer rates suggest that raindrop total number concentration NTr near the freezing level, mainly produced by the autoconversion process, plays an important role in determining the near‐surface RSD characteristics. Morr and Thom assume fixed values of cloud droplet number concentration NTc that are much larger than those predicted by ThomA, leading to much smaller NTr near the freezing level produced by the autoconversion process. Sensitivity experiments using much reduced NTc substantially increase predicted NTr, mainly through invigoration of autoconversion. These results indicate that adequately predicting NTc is very important for capturing the right RSD characteristics for landfalling typhoons over East China where Typhoon Matmo is one of the representative examples.
Influence of calcination temperature on phase formation and local structure of Co0.6Zn0.4Fe1.6Cr0.4O4 nanoparticles

Abstract In this work, Co0.6Zn0. 4Fe1.6Cr0. 4O4 nanoparticles were synthesized by the solid state combustion technique and calcined at various temperatures from 700 to 900 °C. The phase formation, morphology and local structure of the calcined samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray absorption near edge structure (XANES) techniques. The XRD analysis revealed existence of the single-phase cubic spinel structure in the samples calcined at 900 °C. The average crystallite sizes increased as the calcination temperature increased. The XANES spectra allowed the valence states of Co2+, Cr3+, Fe3+ and Zn2+ ions in all calcined samples to be established. The clear agreement between measured and ab initio theoretical XANES spectra was the strongest evidence of Cr3+ and Zn2+ ions substituting for Co2+ and Fe3+, respectively, in CoFe2O4 inverse spinel structure. XANES results also suggested that the site occupancy of Co2+, Cr3+, Fe3+ and Zn2+ ions was mixed, with the majority Co2+ and Cr3+ ions occupying octahedral sites and the majority of Fe3+ ions occupying tetrahedral sites, while the Zn2+ ions equally occupied octahedral and tetrahedral sites in a ratio of 50:50.