Miracle-dz/UniFAR-FTUs huggingface dataset:
Levan Produced by the Halophilic Bacterium Bacillus licheniformis BK1 as a Nanoparticle for Protein Immobilization

This study examined the potential of levan from the halophilic bacterium Bacillus licheniformis BK1 as a nanoparticle system for protein immobilization. Levan produced by B. licheniformis BK1 was obtained by incubating the bacterium in the optimized Belghith medium, containing 15% (w/v) sucrose, 7.5% (w/v) NaCl and pH 8, in a rotary shaker at 150 rpm for 16 h, at 40 °C. The structure of the levan produced was verified by FTIR and NMR. It appeared that the levan had the same structure as that from Erwinia herbicola . The obtained levan was then used as a nanoparticle system to immobilize BSA and lysozyme proteins. The BSA-nanoparticle had a non-spherical shape with a surface charge of about -4.72 mV and a size distribution in the range of 83–298 nm. In contrast, the lysozyme-nanoparticle exhibited more spherical shapes with a surface charge of -2.57 mV and 206–285 nm size distribution. The efficiency of immobilization was about 74.26% and 81.77% for BSA and lysozyme, respectively. The study thus shows that levan produced by B. licheniformis BK1 can be used as a nanoparticle system for protein immobilization.
Sentinel-2 imagery utilization for small-plot agricultural studies

In terms of mitigation the negative aspects of agriculture on the environment, various advancements were achieved during the past few decades. Precision agriculture and related remote sensing enable canopy properties to be monitored and evaluated timely and non-destructively. Although remote sensing is nowadays widely utilized in agricultural studies with significant results, there are still certain constraints. The spatial resolution of source imagery is one of them. This study deals with this issue by evaluating Sentinel-2 imagery and it’s utilization on a small-plot experiment. Four spectral indices were derived using open-source software SNAP and compared with leaf chlorophyll content data obtained during terrestrial measurements. Correlation analysis gave ambiguous results ranging from r = 0.64 (Green Chlorophyll Index) to r = -0.47 (Triangular Chlorophyll Index). Based on this observation it was concluded that this issue requires to be investigated more thoroughly to define the relation of pixel size and size of the surface unit.
Ultra-Thin Metamaterial Beam Splitters

Here, we present blueprints for three types of ultra-thin beam splitters based on versatile fishnet metamaterial structures at the 1.55 μ m optical communication wavelength. The thicknesses of the designed polarizing beam splitter and partially polarizing beam splitter are 1/26 of the free-space wavelength, while the thickness of the non-polarizing beam splitter is 1/13 of the free-space wavelength. Numerical simulations show that, compared to other miniaturization approaches including popular dielectric metasurfaces, metal-based metamaterial approach can provide much thinner beam splitters with reasonable performance. Such beam splitters can enable miniaturization of conventional and advanced quantum photonic systems towards higher density, scalability, and functionality.
Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming

User experience estimation of VR exergame players by recognising their affective state could enable us to personalise and optimise their experience. Affect recognition based on psychophysiological measurements has been successful for moderate intensity activities. High intensity VR exergames pose challenges as the effects of exercise and VR headsets interfere with those measurements. We present two experiments that investigate the use of different sensors for affect recognition in a VR exergame. The first experiment compares the impact of physical exertion and gamification on psychophysiological measurements during rest, conventional exercise, VR exergaming, and sedentary VR gaming. The second experiment compares underwhelming, overwhelming and optimal VR exergaming scenarios. We identify gaze fixations, eye blinks, pupil diameter and skin conductivity as psychophysiological measures suitable for affect recognition in VR exergaming and analyse their utility in determining affective valence and arousal. Our findings provide guidelines for researchers of affective VR exergames.
Enhancing the uptake of learning through simulation in health

Increased demand on global healthcare systems has resulted in more students requiring undergraduate clinical placements in Australia, to the point that demand now exceeds supply. There is a clear need to reproduce the learning outcomes of clinical experiences via innovative means. Simulation-based education is frequently suggested as one solution. Few studies have compared the outcomes of simulation-based training versus training in real clinical settings. It is, therefore, proposed to explore this gap in the literature by systematically comparing the learning outcomes of students split into two matchedgroups participating in simulatedor clinical-based education. This will be achieved via a mixed-methods approach using a combination of: in-depth interviews with students, clinical course coordinators and supervisors; analysis of clinical placement student diaries; and comparisons of a number of measures derived from Kneebone’s conceptual framework of evaluating clinical simulations.
Preparation of Particle Reusable Heterogeneous Catalyst Fe3O4/ATP for Methylene Blue Decolorization

New simple wet-ultrasonic method was employed to synthesize akind of particle heterogeneous catalyst Fe3O4/attapulgite (Fe3O4/ATP), which used attapulgite particles as catalyst carrier and Fe3O4 as active component loaded on the carrier. The catalyst is low cost and easy to prepare, and the effects of various preparing factors on its catalytic performance were investigated and discussed. The heterogeneous catalyst was characterized using SEM, FT-IR and XRD for its structure and catalysis properties. Fe3O4/ATP was used as the catalyst to decolorize high concentration (100mg/L) methylene blue (MB) in the heterogeneous Fenton system. Box-Behnken design (BBD) method was used for experimental design, data analysis and optimization. The influences of catalyst dosage, H2O2 initial concentration and pH value on MB decolorization ratios in Fe3O4/ATP/H2O2 heterogeneous Fenton system were studied. The heterogeneous catalyst Fe3O4/ATP has excellent catalytic performance and more than 99%MB decolorization were achieved under the optimum conditions. Higher decolorization ratio was obtained for recycled use of Fe3O4/ATP. Comparison experiments showed MB decolorization in Fe3O4/ATP/H2O2 system is really a catalytic process. Furthermore, Fe3O4/ATP can be easily separated from the solution and reused due to its particle form.
Enzymatically interesterified hybrid palm stearin as an alternative to conventional palm stearin

ABSTRACT In this study, enzymatic interesterification of hybrid palm stearin mixed with palm kernel oil (HPS/PKO, 70/30) was conducted to provide a new source of vegetable fat, which was compared with the traditional palm stearin blend (PS/PKO). The triacylglycerides results indicated that the enzyme (Lipozyme TL IM) hydrolyzed and esterified lauric, palmitic, and oleic acids. Further, the interesterification decreased the melting and crystallization temperatures by ≈2°C. Additionally, it allowed faster structuring and/or crystallization in both blends as indicated by high G’ values (3.6 × 107 Pa for PS/PKO and 1.3 × 107 Pa for HPS/PKO). Moreover, enzymatic interesterification promoted rapid stabilization of the number and size of HPS/PKO crystals. The results indicated that HPS/PKO is a healthier alternative to PS/PKO with regard to the proportion of unsaturated fatty acids. Finally, the rheological and microstructure analyses suggested that HPS/PKO enzymatically interesterified is a promising candidate for utilization in various fatty products.
Cryptococcal infection in the era of anti-retroviral therapy (ART) amomg HIV infected patients with meningitis at a tertiary hospital in a low - resource setting.

Background: Despite improved access to anti-retroviral therapy (ART) in Africa, HIV-associated cryptococcal meningitis (CM) appears to remain a cause of substantial morbidity and mortality in sub-Saharan African. This study determined the prevalence, associated factors and outcomes of CM among HIV positive meningitis patients at a tertiary hospital in Zimbabwe. Methods: Eligible HIV positive patients admitted with clinical features of meningitis were recruited into the study. CM was diagnosed on the basis of a positive cerebrospinal fluid (CSF) culture for cryptococcus species, a positive CSF cryptococcal antigen test (CRAG) or a positive CSF India ink test. Patientsâ€™ demographic information, clinical features and laboratory test values were recorded. Results: One hundred and forty-four participants were enrolled into the study. CM was diagnosed in 41% (59/144). Of the patients with CM, slightly more than half [54.2% (32/59)] were on ART and 53% (17/32) had initiated ART within one year prior to the diagnosis of CM. Median current CD4 counts were significantly lower among CM patients [32 . 0(IQR 10.5 â€“ 64.0)] compared to non-CM patients [158.0(IQR: 47.0â€“324.0)] (p<0.001). In-hospital mortality associated with CM was 45%. Conclusions: The proportion of cryptococcal meningitis cases and the associated in-hospital mortality were very high in the study. This suggests that cryptococcal disease burden is still significantly high despite improved access to ART. Expansion of prevention strategies, such as screening for asymptomatic cryptococcal infection among patients with low CD4 count (less than 200), has the potential to improve the morbidity and mortality associated with cryptococcal meningitis.
Pulmonary metastasis in laryngeal squamous cell carcinoma

Objective: To identify the factors associated with pulmonary metastasis, such as lymph node positivity, tumour location and histological differentiation in patients with laryngeal squamous cell carcinoma (scc). Material and Methods: This study is designed as retrospective cohort study. Data from 263 patients diagnosed with laryngeal scc were reviewed retrospectively. Pulmonary metastasis was observed in 39 of these patients. Results: The transglottic tumors had the highest pulmonary metastasis rate (%50). The pulmonary metastasis rate was significantly lower in patients with glottic tumors than those with tumors in other regions (p= 0.003) The pulmonary metastasis rate was higher in lymph node-positive patients than in lymph node-negative patients. Pulmonary metastasis rate was significantly higher among patients with N2-N3 stage lymph nodes compared to those with N1 stage lymph nodes. Pulmonary metastasis rate is also increased significantly among patients with histologically poorly differentiated tumors (p= 0.001). Conclusion: The laryngeal cancer patients with positive lymph node, with transglottic tumour and with poorly/moderately differentiated tumour should be monitored carefully and followed up closely for possible pulmonary metastasis.
Weather Variability, Credit Scores and Access to Credit: Evidence from Colombian Coffee Farmers

This paper studies how weather variability affects credit scores and credit access in developing countries. Using rich administrative data on loans to coffee farmers from a large Colombian bank, I show that negative weather shocks lead to lower loan repayment, lower credit scores and more frequent denials of future loan applications. I present evidence that affected farmer's income and ability to repay recover more quickly from weather shocks than credit access. Therefore, the interplay of weather variability and credit scores can lead to the exclusion from credit markets of farmers who could repay a loan.
Parallel Urban Rail Transit Stations for Passenger Emergency Management

Passenger emergency management of urban rail transit station (URTS) has become an indispensable issue with attaching importance to economic benefits and personal security. In this article, a parallel URTS system for passenger emergency management is presented based on artificial systems, computational experiments, and parallel execution (ACP) approach. The agent-based modeling technology is applied to build the artificial URTS system, which contains the models of personal, trains, facilities, events, environments, and center control and decision unit. The computational experiments are performed on the artificial system to analyze and evaluate emergency management strategies. The mechanism of parallel execution between the actual system and artificial system is presented to manage and optimize the emergency strategy, which is capable of guiding the actual URTS system through real-time online supervision and adjustment and providing an active rather than a traditionally passive optimization of passenger emergency management. The ACP-based parallel URTS system provides a novel approach to formulation, evaluation, and optimization of passenger emergency management strategies for URTS.
Mise en place d'un protocole de directives anticipées incitatives en psychiatrie en France

Contexte : les hospitalisations sous contrainte sont en hausse malgre de serieuses preoccupations d'ordre ethique. Parmi les mesures visant a reduire les admissions sous contrainte, les Directives Anticipees en Psychiatrie (DAP) sont les plus prometteuses, notamment les formes intensives et facilitees. Objectifs : mettre en place une forme intensive de Directives Anticipees Psychiatriques (DAP), les Directives Anticipees Incitatives en Psychiatrie (DAiP), avec une aide a la redaction par des travailleurs de sante pairs. Methodologie : de janvier 2019 a janvier 2021, une etude associant un essai controle randomise multicentrique et une approche qualitative est menee avec analyse en intention de traiter. Deroulement : sept hopitaux dans trois villes francaises : Lyon, Marseille et Paris. Les assistants de recherche rencontrent chaque participant a l’inclusion, 6 mois et 12 mois apres l'inclusion pour des entrevues. Participants : 400 personnes avec un diagnostic DSM-V de trouble bipolaire I, de schizophrenie ou de troubles schizo-affectifs, ayant ete admis sous contrainte aux soins depuis moins de 12 mois, etant capables de consentir (Mc-CAT-CR), ayant plus de 18 ans, et pouvant comprendre le francais. Interventions : le groupe experimental (DAiP) (attendu n=200) est invite a remplir un document decrivant son plan de crise et ses volontes en cas de perte de capacite mentale. Les personnes rencontrent un pair specialement forme pour les aider. Ils sont invites a nommer une personne de confiance et a partager le document avec cette personne et son psychiatre. Le groupe soins habituels (n=200 prevu) est suivi sans modification. Criteres de jugement : le critere je jugement principal est le taux d'hospitalisation sous contrainte au cours du suivi de 12 mois. Les criteres secondaires comprennent l'alliance therapeutique (4-PAS), l'empowerment (ES), le retablissement (RAS), la qualite de vie (S-QoL18), les symptomes de sante mentale (MCSI), l’insight (SUMD), la gravite de la maladie (ICG), la satisfaction (CSQ8) et les couts generaux. Discussion : l'implication des pairs aidants, les potentielles barrieres de la mise en place des DAiP, les questions methodologiques et l’importance de l’evaluation qualitative seront discutes.
The Creativity Code: How AI Is Learning to Write, Paint and Think

Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece? And if so, would we be able to tell the difference? As humans, we have an extraordinary ability to create works of art that elevate, expand and transform what it means to be alive. Yet in many other areas, new developments in AI are shaking up the status quo, as we find out how many of the tasks humans engage in can be done equally well, if not better, by machines. But can machines be creative? Will they soon be able to learn from the art that moves us, and understand what distinguishes it from the mundane? In The Creativity Code, Marcus du Sautoy examines the nature of creativity, as well as providing an essential guide into how algorithms work, and the mathematical rules underpinning them. He asks how much of our emotional response to art is a product of our brains reacting to pattern and structure, and exactly what it is to be creative in mathematics, art, language and music. Marcus finds out how long it might be before machines come up with something creative, and whether they might jolt us into being more imaginative in turn. The result is a fascinating and very different exploration into both AI and the essence of what it means to be human.
Disagreement, Speculation and Management Forecasts

Prior research shows that disagreement leads to speculative trading and a speculative premium in stock prices. We examine how managers respond to this speculative premium. Using exogenous variation in speculative trading due to the reconstitution of the Russell 1000/2000 indices, we find that speculative trading reduces the frequency, likelihood, and precision of management forecasts. Consistent with theory, this relationship is significantly stronger when short sale constraints are more binding, and when managers have stronger equity-based incentives. We also find that managers sell equity to benefit from the speculative premium. In summary, our results suggest that managers issue forecasts opportunistically in response to speculative trading: they either keep silent, or issue fewer and more ambiguous forecasts to prolong disagreement among investors and the speculative premium.
Voltage Reference With Linear-Temperature-Dependent Power Consumption

This article presents a novel pico-watt voltage reference (VR) circuit whose power consumption is well controlled at high temperature. Unlike a traditional pico-watt VR circuit whose power consumption increases exponentially with temperature, the power consumption in this article increases linearly with temperature, thus saving much energy at high temperature. It generates the reference voltage through a 2-transistor (2-T) structure and a current generator to well control the current versus temperature. In the current generator, a gate leakage transistor replaces a huge resistor, thus saving 4-mm<sup>2</sup> area. Fabricated in a 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> CMOS process, this VR circuit generates a reference voltage of about 560 mV and shows an average temperature coefficient (TC) of 18.4 ppm/°C after trimming across −25 °C to 85 °C and a line sensitivity (LS) of 0.15%/V, while consuming 20 pW at 1-V <inline-formula> <tex-math notation="LaTeX">${V} _{\text {DD}}$ </tex-math></inline-formula> and 27 °C. The power consumption at 3.3-V <inline-formula> <tex-math notation="LaTeX">${V} _{\text {DD}}$ </tex-math></inline-formula> and 85 °C is 114 pW, which is at least two times smaller than reported in state-of-the-art work at high temperature. The core area is 0.003 mm<sup>2</sup>.
Estudo psicométrico da Escala de Interesses por Áreas da Psicologia (EIAPsi)

Os estudantes de Psicologia devem realizar escolhas profissionais durante o curso, podendo vivenciar um periodo angustiante. O objetivo deste artigo foi buscar evidencias de validade e precisao para a Escala de Interesses por Areas da Psicologia (EIAPsi) e verificar as diferencas do sexo e periodo do curso nas medias dos interesses. Participaram 980 estudantes de Psicologia que responderam a EIAPsi. Os resultados indicaram 11 fatores como melhor estrutura para EIAPsi, os quais apresentaram bons indices de precisao. Notou-se que as mulheres pontuaram mais que os homens nas areas Saude e Juridica, sendo o oposto observado na area Docencia e Pesquisa. Os estudantes do fim do curso apresentaram um perfil de interesses mais discriminado que os demais. A partir dos resultados foi possivel identificar a viabilidade da utilizacao da EIAPsi por estudantes de Psicologia no contexto brasileiro.
Effect of water and seawater on mechanical properties of fiber reinforced polymer composites: a review for amphibious aircraft float development

One of the composite applications is its utilize in the water and seawater environments like boats, ships and float device of amphibious aircraft. This environment can affect the mechanical properties of composites since water can diffuse into the composites. Many researches have discussed about the effect of water and seawater on mechanical properties of composites like tensile, compressive, shear, and impact properties. This review is conducted on the field of durability of composites in water and seawater environment. Most studies are carried out by immersing composites in water and seawater for a certain period of time. Almost all studies exhibit the degradation of the mechanical properties of composites with ageing time of the immersion process in water or seawater.
Application of Natural Language Processing Techniques for Classification of Web Published News in Spanish

Web published news written in the Spanish language, were analyzed by using categories that are related to its content, such as: ’Culture’, ’Sports’ and ’Finances’, or they are classiﬁed very generally as is the case of ’National’ or ’International’. The large content of documents generated the need to provide the user with an analysis of such documents, particularly in circumstances where in search engines are involved. First of all, a pre-process was applied to allow the mining of texts, which includes the lemmatization, homologation of synonyms and representation of documents with a Boolean method. This pre-process also includes a dimensional reduction of the obtained matrix. Secondly, diﬀerent classiﬁcation methods were applied to compare their performance in order to ﬁnd the one that best assigns the category to the news.
IDENTIFIKASI DISTRIBUSI JUMLAH KECELAKAAN LALU LINTAS DI DEPOK DAN PENDUGAAN PARAMETERNYA MENGGUNAKAN METODE BAYES

Kecelakaan lalu lintas adalah masalah yang umum terjadi dalam penyelenggaraan sistem transportasi. Menurut data dari Polresta Depok, diperoleh informasi bahwa jumlah kecelakaan lalu lintas mengalami penurunan di tahun 2018. Rata- rata dari jumlah kecelakaan di suatu ruas jalan perlu diketahui sebagai upaya untuk mengurangi jumlah kecelakaan. Berdasarkan data jumlah kecelakaan lalu lintas dapat ditentukan distribusi tertentu, yakni distribusi Binomial Negatif. Pada distribusi Binomial Negatif akan dilakukan pendugaan parameter dispersi diketahui dan parameter skala . Pendugaan parameter terdiri dari pendugaan titik dan pendugaan selang. Pendugaan parameter untuk parameter dari distribusi Binomial Negatif menggunakan metode Bayes dengan distribusi prior yang digunakan adalah distribusi Beta sebagai distribusi prior konjugat, distribusi Gamma sebagai distribusi prior non konjugat dan prior Jeffrey sebagai distribusi prior noninformatif. Metode evaluasi yang digunakan untuk mengevaluasi penduga terbaik adalah berdasarkan nilai dugaan standard error, , dan lebar selang yang lebih kecil. Hasil simulasi data menunjukkan bahwa distribusi Beta sebagai distribusi prior konjugat lebih baik dari pada distribusi Gamma dan distribusi prior Jeffrey. Kata kunci : Jumlah Kecelakaan Lalu Lintas, distribusi Binomial Negatif, Metode Bayes.