Miracle-dz/UniFAR-FTUs huggingface dataset:
Tri-valued Memristor-based Hyper-chaotic System with Hidden and Coexistent Attractors

Recently, the nonlinear dynamics of memristor has attracted much attention. In this paper, a novel fourdimensional hyper-chaotic system (4D-HCS) is proposed by introducing a tri-valued memristor to the famous L¨u system. Theoretical analysis shows that the 4D-HCS has complex chaotic dynamics such as hidden attritors and coexistent attractors, and it has larger maximum Lyapunov exponent and chaotic parameter space than the original L¨u system. We also experimentally analyze the dynamics behaviors of the 4D-HCS in aspects of the phase diagram, Poincar´e mapping, bifurcation diagram, Lyapunov exponential spectrum, and the correlation coefficient, and the analysis results show the complex dynamic characteristics of the proposed 4D-HCS. In addition, the comparison with binary-valued memristorbased chaotic system shows that the 4D-HCS has unique characteristics such as hyper-chaos and coexistent attractors. To show the easy implementation of the 4D-HCS, we implement the 4D-HCS in an analogue circuit-based hardware platform, and the implementation results are consistent with the theoretical analysis. Finally, using the 4D-HCS, we design a pseudorandom number generator to explore its potential application in cryptography.
A representação das mulheres de carreira no cinema: uma análise sob a ótica das metáforas de desigualdade de gênero

As obras cinematográficas são consideradas eficientes para avaliar a sociedade e os ambientes de trabalho, pois refletem a maneira como a sociedade, de modo geral, pensa, age e se comporta sobre determinados assuntos. Diante do papel do cinema de reproduzir e produzir elementos sociais e individuais que envolvem a vida privada e profissional de mulheres que ambicionam ter sucesso nas suas carreiras, o presente artigo possui como objetivo analisar como os filmes retratam os desafios que as mulheres enfrentam para avançar em suas carreiras através das lentes das metáforas da desigualdade de gênero. Os filmes foram acessados por meio do site IMDb (Internet Movie Database), usando os descritores: women, business, career e manager. Considerados filmes produzidos de 1981 a 2019, obteve-se 205 peças cinematográficas. Aplicados os critérios de inclusão e exclusão, restaram 39 filmes para análise. Desse modo, a maneira como as mulheres de negócios são representadas pelo cinema é discutida por meio das metáforas: Teto de Vidro; Penhasco de Vidro; Fenômeno Abelha Rainha; Parede Materna; Segundo Turno; Labirinto; e Tokenismo. A construção das personagens, segundo as obras visitadas nesse artigo, evidenciou singularidades na abordagem na construção das protagonistas. Todos os filmes analisados nessa pesquisa apresentaram em alguma cena, diálogo ou modo como a personagem principal é descrita dentro da narrativa pelo menos uma das metáforas abordadas.
Synthesis of α-Al2O3 Nanoparticles From Pepsi Cans Wastes and Its Fungicidal Effect on Some Mycotoxins Producing Fungal Isolates

Green synthesis of nanomaterials is the most recent trend in nanotechology because it is synthesized the highly valuable compounds (nanomaterials) from wastes to reduce the highly negative impact of these wastes in environment. The aim of this study was to isolate and purify the most common mycotoxin, aflatoxin producing fungi from Maize and soybean grains which considered as the great economical importance as both animal and human feed. In addition to green synthesized of a-Al2O3 from cans and to detect its antifungal effect on the isolate’s growth at different concentrations. Thereafter, determining the fungicidal concentration of the tested nanoparticles on the isolated fungal strains. The structural, morphological, optical and antifungal activity of the prepared a-Al2O3. are characterized using X-ray diffraction (XRD), High resolution transmission electron microscope (HRTEM), Field Emission Scanning Electron Microscope (FESEM), Attenuated total Reflection-Fourier Transform Infrared (ATR-FTIR) and Ultraviolet-Visible (UV-Vis) spectrophotometer. Results shows that, the most common fungal strains presented were belonging to Aspergillus flavus, Fusarium oxysporum and Alternaria sp. Formation of Al2O3 is confirmed using XRD, FESEM and ATR –FTIR. The average particle size of a-Al2O3 is 4-10 nm. Optical band gap of a-Al2O3 are calculated using Tauc relation. Through investigating the fungicide concentration, Data showed that the maximum antifungal activity of aluminum nanoparticles a-Al2O3 was detected for A. flavus, Fusarium sp.and Alternaria sp. in concentration 1, 6 and 50 mg/100ml respectively.
Water, Sanitation and Hygiene Practices in the Philippines: Meeting National and Global Targets at the Local Level

As national and global water, sanitation, and hygiene targets have been set and programs have been implemented, the study aimed to assess the attainment of these targets at the local level in selected areas in Davao region, the Philippines. Randomly selected households were assessed for water, sanitation, and hygiene indicators using a modified tool that combined national guidelines and global recommendations. Validated access to improved water source for drinking was below the targets in most barangays, while validated sanitary toilet coverages in all barangays did not meet the targets. Significant difference was observed between validated and reported access to improved water and sanitation services in some barangays. Approximately 87.5% of households had a handwashing facility, but only 51.2% of which had both water and soap available. Achieving the targets is challenged by the gap in monitoring due to a decentralized health system in the Philippines. There is a need to standardize indicators and optimize the tool to allow a comprehensive assessment of water, sanitation, and hygiene practices. This will help generate local data that are in line with national guidelines and global recommendations to enhance policy and to determine priority areas for improved water, sanitation, and hygiene service delivery.
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM

Near-memory processing (NMP) is a prospective paradigm enabling memory-centric computing. By moving the compute capability next to the main memory (DRAM modules), it can fundamentally address the CPU-memory bandwidth bottleneck and thus effectively improve the performance of memory-constrained workloads. Using the personalized recommendation system as a driving example, we developed a scalable, practical DIMM-based NMP solution tailor-designed for accelerating the inference serving. Our solution is demonstrated on a versatile FPGA-enabled NMP platform called AxDIMM that allows rapid prototyping and evaluation of NMP’s performance potential on real hardware under a realistic system setting using industry-representative recommendation framework. We experimentally validated the performance of a two-ranked AxDIMM prototype, which achieves up to 1.89× speedup in latency and 31.6% memory energy saving for embedding operations. For end-to-end recommendation inference serving, AxDIMM improves the throughput up to 1.5× and latency-bounded throughput up to 1.77×, respectively.
A Brief Review of the Structure, Cytotoxicity, Synthesis, and Biodegradation of Microcystins

Harmful cyanobacterial blooms pose an environmental health hazard due to the release of water-soluble cyanotoxins. One of the most prevalent cyanotoxins in nature is microcystins (MCs), a class of cyclic heptapeptide hepatotoxins, and they are produced by several common cyanobacteria in aquatic environments. Once released from cyanobacterial cells, MCs are subjected to physical chemical and biological transformations in natural environments. MCs can also be taken up and accumulated in aquatic organisms and their grazers/predators and induce toxic effects in several organisms, including humans. This brief review aimed to summarize our current understanding on the chemical structure, exposure pathway, cytotoxicity, biosynthesis, and environmental transformation of microcystins.
Full Model Selection Problem and Pipelines for Time-Series Databases: Contrasting Population-Based and Single-point Search Metaheuristics

The increasing production of temporal data, especially time series, has motivated valuable knowledge to understand phenomena or for decision-making. As the availability of algorithms to process data increases, the problem of choosing the most suitable one becomes more prevalent. This problem is known as the Full Model Selection (FMS), which consists of finding an appropriate set of methods and hyperparameter optimization to perform a set of structured tasks as a pipeline. Multiple approaches (based on metaheuristics) have been proposed to address this problem, in which automated pipelines are built for multitasking without much dependence on user knowledge. Most of these approaches propose pipelines to process non-temporal data. Motivated by this, this paper proposes an architecture for finding optimized pipelines for time-series tasks. A micro-differential evolution algorithm (µ-DE, population-based metaheuristic) with different variants and continuous encoding is compared against a local search (LS, single-point search) with binary and mixed encoding. Multiple experiments are carried out to analyze the performance of each approach in ten time-series databases. The final results suggest that the µ-DE approach with rand/1/bin variant is useful to find competitive pipelines without sacrificing performance, whereas a local search with binary encoding achieves the lowest misclassification error rates but has the highest computational cost during the training stage.
Leaf Trait Covariation and Its Controls: A Quantitative Data Analysis Along a Subtropical Elevation Gradient

Elevation gradients are frequently treated as useful space‐for‐time substitutions for inferring trait variations in response to different environmental conditions. The independent variations in leaf traits in response to elevation are well understood, but far less is known about trait covariation and its controls. This limits our understanding of the principles and mechanisms of leaf trait covariation, especially along elevation gradients in subtropical forests. Here, we studied the covariation among seven functional traits, including leaf size (LS), leaf nitrogen per unit mass (Nmass), leaf nitrogen per unit area (Narea), leaf mass per area (LMA), leaf dry matter content (LDMC), leaf thickness (LT) and the leaf internal‐to‐ambient CO2 ratio (Ci:Ca, termed χ). Sampling was conducted on 41 species in a subtropical forest on Mount Huangshan, China, and the data were analyzed using multivariate analysis and variance partitioning procedures. We found that (a) The first three principal components captured 79% of the total leaf trait covariation, which was caused mainly by within site differences; (b) Nmass and LDMC were positively correlated with soil water content (SW) and negatively correlated with vapor pressure deficit (VPD), while χ showed negative relationships with elevation; and (c) 78% of the variation in the studied plant functional traits could be explained by climate, soil, and family controls in combination, while family distribution was the most important determining factor for trait covariation along the elevation gradient. Our findings provide relevant insights into plant adaptation to environmental gradients and present useful guidelines for ecosystem management and planning.
Evaluating an antimicrobial stewardship programme implemented in an intensive care unit of a large academic hospital, using the RE-AIM framework.

BACKGROUND The threat of antimicrobial resistance driven by inappropriate and unnecessary use of antimicrobials is a global issue of great concern. Evidence-based approaches to optimising antimicrobial prescribing to improve patient care while reducing the rate of antimicrobial resistance continue to be implemented worldwide. However, the successes or failures of implementation of such approaches are seldom evaluated. OBJECTIVES To evaluate the impact of an implemented antimicrobial stewardship programme (ASP) in reducing the spread of antimicrobial resistance in the intensive care unit (ICU) of a large academic hospital using the RE-AIM framework. METHODS A descriptive quasi-experimental study was conducted with adult patients who had been admitted to the ICU of an academic hospital in Johannesburg, South Africa. Data were extracted from patients' records using a structured questionnaire. Descriptive statistics of four RE-AIM dimensions (reach, effectiveness, adoption and implementation) and the overall impact of the implemented antimicrobial stewardship programme were calculated. RESULTS From the 59 participant records, 21 patients (35.6%) developed hospital-acquired infections and all were prescribed antimicrobials during their stay in the ICU. Twenty-seven pathogens (bacterial species) were isolated from samples acquired from the patients, including Staphylococcus aureus (n=6; 22.2%), Escherichia coli (n=4; 14.8%), Acinetobacter baumannii (n=4; 14.8%) and Streptococcus pnuemoniae (n=3; 11.11%), as well as 10 other bacterial species (37.0%) including Corynebacterium species, Enterococcus faecium, Haemophilus influenzae, Klebsiella species, Clostridium difficile and Salmonella species. Of the 27 pathogens isolated, 19 (70.4 %) were resistant to the prescribed antimicrobials. The overall impact of the ASP implemented in the studied facility was 67.2%. CONCLUSIONS An ASP requires both thorough implementation and leadership support to have an impact in the reduction of antimicrobial resistance. Lack of leadership support poses a significant challenge to sustainability. There is an urgent need for behavioural change in hospital leadership.
DIVIS: A Semantic Distance to Improve the Visualization of Incomplete Heterogeneous Phenotypic Datasets

BackgroundThanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when they regard phenotypic traits. In order to get a first insight into these datasets and reduce the data matrices size scientists often rely on multivariate analyses. However such approaches are not always easily practicable in particular when faced with mixed datasets with missing values. Moreover displaying large numbers of individuals leads to cluttered visualizations which are difficult to interpret. ResultsWe introduce a new methodology to overcome these limits. The underlying principle consists in (i) grouping similar individuals, (ii) representing each group by emblematic individuals we call archetypes and (iii) build sparse visualizations based on these archetypes. As a preliminary step to the clustering we design a new semantic distance tailored for both quantitative and qualitative variables which allows a realistic representation of the relationships between individuals. This semantic distance is based on ontologies which are engineered to represent real life knowledge regarding the underlying variables. Our approach is implemented as a Python pipeline and illustrated by a rosebush dataset including passport and phenotypic data. ConclusionsThe introduction of our new semantic distance and of the archetype concept allows us to build a comprehensive representation of an incomplete dataset characterized by large proportion of qualitative data. The methodology described here could have wider use beyond information characterizing organisms or species and beyond plant science. Indeed we could apply the same approach to any incomplete mixed dataset.
The Use of Computational Fluid Dynamics in the Analysis of Gas-Liquid-Liquid Reactors

Gas–liquid–liquid reactors are typically found in bioprocess setups such as those used in alkane biocatalysis and biological gas stripping. The departure of such reactors from traditional gas–liquid setups is by the introduction of a secondary (dispersed) liquid phase. The introduction of the latter results in complicated hydrodynamics as observed through measurements of velocity fields, turbulence levels and mixing times. Similarly, changes in mass transfer occur as observed through measurements of gas hold up, bubble diameters and the volumetric mass transfer coefficients. The design and analysis of such reactors thus requires the adoption of an approach that can comprehensively account for the various observed changes. This chapter proposes Computational Fluid Dynamics as an approach fit for this purpose. Key considerations, successes and challenges of this approach are highlighted and discussed based on a review of previously published case studies.
Fostering l earning with challenge - based innovation in higher education : case CERN Bootcamp

This article presents findings on learning with challenge-based innovation (CBI) in higher education. It describes how different dimensions of Significant Learning are enhanced with challenge-based innovation among multidisciplinary students in higher education. It is based on a case study on designing and implementing a master’s-level course for learning service design by solving societal challenges related to United Nations’ sustainable development goals (SDG) with challenge-based innovation at CERN IdeaSquare. As a result, this article describes how the case CBI enhances Significant Learning, and what is critical for instructors and organizers of challenge-based innovation.
Tourism Destination Recommendation Using Ontology-based Conversational Recommender System

: Traveling is one of the human psychological needs. Many choices and lack of information about desired tourist attractions are some of the obstacles in fulfilling the need. One of the technologies to overcome these obstacles is the recommender system which can provide recommendations for the users to choose some interesting tourist attractions from several tourist destinations. A conversational recommender system (CRS) offers a way of recommending tourist destinations in a conversational mechanism. We use ontology as a representation of knowledge to generate conversational interactions, recommendations, and explanation facilities. With this ontology-based CRS, we can overcome cold start problems, and also the system can guide the users to get the desired tourist attractions. In this study, we use a combination of navigation by asking (NBA) and navigation by proposing (NBP) strategy to generate interactions on the CRS. Based on the user study, in general, users find it helpful in finding tourist destinations that suit their needs. It is because the factor of trust and perceived ease of use comes from the interaction and explanation facilities contained in the system. Besides, perceived usefulness directly affects users' interest in utilizing this CRS interaction model in the future.
A COMPREHENSIVE STUDY ON THE BARK ANATOMY, PHYTOCONSTITUENT AND DETERMINATION OF ANTIMICROBIAL EFFICACY OF ARAUCARIA COOKII

Araucaria cookii, a peculiar ornamental exotic conifer found in India and prevalent in varied European countries and the United States. These have exhibited diverse therapeutic properties, but still evidently unclear. Bark anatomy has been contributed significantly in the analytical observation of its potential and found very scanty in published literatures. In present study, westudiedthe anatomical observation of the bark of A. cookii, and identify the anti-microbial activities of methanol bark extract of A.cookii. The bark of A. cookii was collected from the A. cookii from Nilgiri Hills of Ooty Tamil Nadu. The anatomical structures of the bark were elucidated, based on the pattern of the bark, macroscopically and microscopically by using the techniques such as tangential longitudinal section (TLS) and radial longitudinal section (RLS). The phytochemical examination of the methanol bark extract was done to confirm the presence of phytochemical components. The antimicrobial activity of the bark extract was also studied based on the zone of inhibition.The phytochemical constituents detected were presumed to be responsible factors for its medicinal features. Thus, our results showed that the bark of A.cookiicould act as a possible antimicrobial natural source against probable infectious pathogens.
Pemberian Rebusan Daun Seledri Untuk Menurunkan Tekanan Darah Pada Klien Hipertensi Di Kecamatan Sekampung Mudik Desa Brawijaya

ABSTRAK Dari 10 besar penyakit terbanyak di Provinsi Lampung, pada tahun 2013 hipertensi menduduki urutan ketujuh dengan jumlah 17,29% dan meningkat menjadi urutan kelima pada tahun 2014 dengan jumlah 30,01% dan pada tahun 2015 hipertensi meningkat lagi menjadi urutan ketiga dengan jumlah 31,07%, pada tahun 2018 dengan jumlah 34.1%. Hipertensi atau tekanan darah tinggi adalah penyakit yang umum terjadi dalam masyarakat. Keadaan itu terjadi jika tekanan darah pada arteri utama di dalam tubuh terlalu tinggi. Salah satu penanganan non farmakologis yang dipergunakan untuk menurunkan tekanan darah tinggi adalah seledri. Tujuan setelah penyuluhan dan demonstrasi, diharapkan pemberian rebusan daun seledri dapat menurunkan tekanan darah tinggi pada klien hipertensi. Adapun kegiatan yang dilakukan berupa penyuluhan menggunakan leaflet dan demonstrasi pembuatan rebusan daun seledri. Terdapat penurunan tekanan darah pada klien hipertensi setelah pemberian rbusan daun seledri selama 7 hari di kecamatan sekampung mudik desa brawijaya. Dengan demikian, pemberian rebusan daun seledri pada klien hipertensi sangat efektif dalam menurunkan tekanan darah. Kata Kunci: Rebusan daun seledri, tekanan darah, Hipertensi ABSTRACT The 10 biggest diseases at Lampung Province, in 2013 hypertension was in seventh place (17.29%) and increased to fifth in 2014 (30.01%) and in 2015hypertension increased again to third (31, 07%), in 2018 34.1%. Hypertension or high blood pressure is a common disease in society. This situation occurs when the blood pressure in the main arteries in the body is too high. One of the non-pharmacological treatments used to reduce high blood pressure is celery. The purpose after counseling and demonstration, expected to give a decoction of celery can reduce high blood pressure in hypertension's clients. The activities were carried out in the form of counseling using leaflets and demonstrations making celery stew. There was a decrease in blood pressure in hypertension's client after the administration of leaves of celery for 7 days in mudik village, brawijaya village. Thus, giving celery decoction to hypertension clients is very effective in lowering blood pressure. Keywords: Celery stew, blood pressure, hypertension
Impact of integrated audit management effectiveness on business sustainability in manufacturing firms

Purpose This study aims to investigate the effectiveness of integrated audit management and its impact on business sustainability for an emerging economy. Design/methodology/approach Drawing on the dynamic capability and contingency theory, the authors investigated the factors on integrated audit management implementation using a sample of 104 certified Malaysian manufacturing firms. The collected data has been analysed using the partial least squares through the structural equation modelling technique. Findings The findings have revealed that human resource capability, technological capability and quality capability have a robust influence on the importance of the internal audit process, which, in turn, leads to integrated audit management effectiveness towards the outcome of business sustainability. The results have also indicated the mediating effect of the internal audit process on the research model. Originality/value The contribution from the empirical findings will provide productive insights to help manufacturing firms devise an effective integrated internal audit management system to ensure business sustainability and increase competitiveness advantages for an emerging economy.