Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Essential Oils with Each Other and with Clotrimazole Prevents the Formation of Candida Biofilms and Eradicates Mature Biofilms

Fungal infections by Candida spp. are opportunistic and most often occur in individuals with some predisposing factor. Essential oils (EO) have anti-Candida potential, being a therapeutic alternative to be explored, especially for superficial and mucosal candidiasis. The objective was to analyze the synergistic potential between the EO of Citrus limon, Cupressus sempervirens, Litsea cubeba and Melaleuca alternifolia, and each of them with clotrimazole, to inhibit in vitro the formation and eradication of Candida spp. biofilms. Added to this, the survival of Caenorhabditis elegans was evaluated after exposure to EO, clotrimazole and their synergistic combinations. Anti-Candida activity was determined by microdilution for the substances alone and in EO–EO and EO–clotrimazole combinations. The combinations were performed by the checkerboard method, and the reduction in the metabolic activity of biofilms was determined by the viability of MTT/menadione. C. elegans larvae survival was evaluated after 24 h of exposure to EO, clotrimazole and synergistic combinations. The minimum inhibitory concentration (MIC) of EO ranged from 500 to >4000 µg/mL. The lowest MIC (500 µg/mL) was for C. sempervirens and L. cubeba on a C. krusei isolate; for clotrimazole, the MIC ranged from 0.015 to 0.5 µg/mL. Biofilm inhibition and eradication both ranged from 1000 to >4000 µg/mL. The lethal concentration (LC50) of C. limon, L. cubeba and M. alternifolia was 2000 µg/mL for C. elegans, while for C. sempervirens and clotrimazole, it was not determined within the concentration limits tested. In combination, more than 85% of the larvae survived M. alternifolia–clotrimazole, M. alternifolia–L. cubeba, C. sempervirens–clotrimazole and C. sempervirens–C. limon combinations. This study is the first, to our knowledge, to present a synergistic relationship of EO–EO and EO–clotrimazole combinations on Candida spp. biofilms.
Fixed-point structure of low-dimensional relativistic fermion field theories: Universality classes and emergent symmetry

We investigate a class of relativistic fermion theories in 2<d<4 space-time dimensions with continuous chiral U(Nf)xU(Nf) symmetry. This includes a number of well-studied models, e.g., of Gross-Neveu and Thirring type, in a unified framework. Within the limit of pointlike interactions, the RG flow of couplings reveals a network of interacting fixed points, each of which defines a universality class. A subset of fixed points are "critical fixed points" with one RG relevant direction being candidates for critical points of second-order phase transitions. Identifying invariant hyperplanes of the RG flow and classifying their attractive/repulsive properties, we find evidence for emergent higher chiral symmetries as a function of Nf. For the case of the Thirring model, we discover a new critical flavor number that separates the RG stable large-Nf regime from an intermediate-Nf regime in which symmetry-breaking perturbations become RG relevant. This new critical flavor number has to be distinguished from the chiral-critical flavor number, below which the Thirring model is expected to allow spontaneous chiral symmetry breaking, and its existence offers a resolution to the discrepancy between previous results obtained in the continuum and the lattice Thirring models. Moreover, we find indications for a new feature of universality: details of the critical behavior can depend on additional "spectator symmetries" that remain intact across the phase transition. Implications for the physics of interacting fermions on the honeycomb lattice, for which our theory space provides a simple model, are given.
Games en gaming

Inleiding Spel wordt algemeen gezien als een belangrijke activiteit in de ontwikkeling. Dat geldt niet alleen voor mensen maar ook voor allerlei andere diersoorten, denk aan de beelden van spelende katjes of chimpansees. Tijdens dit spel ontwikkelen ze allerlei vaardigheden die ze later nodig hebben bij bijvoorbeeld het vergaren van voedsel. Voor jonge kinderen wordt spel ook gezien als een leidende activiteit die een bijzondere rol speelt in het sociale en mentale ontwikkelingsproces en die goed aansluit bij de handelingsmogelijkheden en interesses van kinderen. Dit heeft er onder meer toe geleid dat bijvoorbeeld in het werkplan voor de onderbouw van het basisonderwijs dat door het APS is ontwikkeld (Janssen-Vos, 1989), spel een van de kernactiviteiten is, naast constructieve activiteiten, gesprekken en voorbereidende activiteiten voor lezen, rekenen en schrijven. Na deze ontwikkelingsperiode neemt spel echter nog maar een beperkte plaats in binnen ons onderwijsstelsel. Het komt nog wel terug in bepaalde opleidingen, maar het gebruik ervan is toch vrij beperkt. Buiten de context van het onderwijs is de belangstelling voor spellen, met name voor computerspellen, die ook wel games worden genoemd, echter erg groot en nog steeds groeiende. In dit hoofdstuk zal beschreven worden wat games zijn, wat voor rol games zouden kunnen spelen in het onderwijs en onder welke voorwaarden ze ingepast kunnen worden in het curriculum. Afgesloten wordt met een aantal richtlijnen voor het ontwikkelen (of selecteren) van educatieve games.
Analisa Perbandingan kinerja algoritma klasifikasi data mining untuk prediksi nasabah bank yang berpotensi membuka simpanan deposito berjangka

Pada saat ini persaingan perbankan memasuki masa persaingan yang kompetitif menyebabakan bank berlomba untuk memberikan layanan terbaik bagi nasabahnya melalui berbagai macam produk perbankan. Produk tersebut akan percuma apabila tidak didampingi dengan promosi produk yang baik. Promosi akan berjalan dengan efesien,efektif apabila perbankan melakukan promosi terarah pada suatu konsumen.Hal tersebut dapat dilaksanakn dengan Data mining,tapi tidak cukup itu karena algoritma Data Mining banyak berkembang saat ini maka perlu dilakukan perbandingan kinerja sehingga data yang diperoleh adalah algoritma yang paling akurat untuk prediksi nasabah yang berpotensi.Pada penelitian ini akan dilakukan perbandingan algoritma data mining klasifikasi yaitu C4.5 Decision trees, Naive Bayes yang digunakan untuk menyelesaikan masalah promosi tersebut. Kemudian Hasil dari proses klasifikasi dievaluasi dengan menggunakan cross validation, confusion matrix, ROC Curve untuk mengetahui algoritma klasifikasi data mining yang paling akurat untuk klasifikasi nasabah yang berpotensi.
The Biomechanical Screening Game between Visitor Power and Staminode Operative Strength of Delphinium caeruleum (Ranunculaceae)

During the evolution of angiosperm flowers, some floral traits may undergo certain changes in order to participate in screening. The stamens and pistils of Delphinium caeruleum are covered by two “door-like” staminodes, the evolutionary function of which, however, is quite unknown. In this study, we investigated whether D. caeruleum staminodes acted as visitor filters by assessing the respective strengths of staminodes and visitor insects (six bee species). We measured the operative strength required to open the staminodes and the strength that insects were capable of exerting using a biological tension sensor. Furthermore, we compared the strength required to open staminodes at different phases of the flowering period (male and female phases) and the strength of different visitors (visitors and non-visitors of D. caeruleum). The results showed that the strength needed to open staminodes in the male phase was significantly higher than that in the female phase. There was no significant difference between the strength exerted by visitors and required by staminodes of D. caeruleum in the male phase, but the visitor strength was significantly higher than that required to open staminodes in the female phase flowers. The strength of non-visitors was significantly lower than that required to open staminodes in the male phase. Furthermore, there was a significant positive association between the strength and the body weight of the bees. These results highlighted the observation that only strong visitors could press the two staminodes to access the sex organs and achieve successful pollination. Furthermore, these results revealed the function of pollinator screening by the staminodes of D. caeruleum. The biomechanical approach to the study of flowers allowed us to address relevant ecological and evolutionary questions of the plant–pollinator interaction and explore the functional modules within the flower structure in other plant species.
Study on the IGBT Short Circuit Type II Behavior Considering the Plasma Effect

The second type of short-circuit (SC II) of an insulated gate bipolar transistor (IGBT) considering the plasma is thoroughly studied in this article. The measurement and device simulation were performed for 1.2 kV IGBTs. Since the SC II is the failure during the IGBT conduction mode, the existing plasma within the IGBT plays an important role in IGBT SC II behavior. The first focus of this article is to understand the composition of the current peak at the beginning of the SC II, which is produced by the Miller-effect during the desaturation process and the sweep-out of the internal plasma. Further, the induced voltage caused by the current decay after the current peak is investigated. The interaction between current decay and the IGBT internal physical mechanism is discussed under different test conditions.
Mono-Objective Function Analysis Using an Optimization Approach

In this paper we propose an evolutionary technique based in a Lyapunov method for mono-objective optimization, that associate to every ergodic controllable finite Markov Chains a Lyapunov-like mono-objective function. For representing the trajectory-dynamics properties local-optimal policies are defined to minimize the one-step decrement of the cost-function. We propose a state-value function that increase and decrease between states of the Markov decision processes. Then, we show that a Lyapunov mono-objective function, which can only decrease over time, can be built for the system. For illustration purposes, we present a simulated experiment that shows the trueness of the suggested method. Keywords— Lyapunov, problem solving control methods, search heuristic methods, artificial intelligence, genetic algorithms, optimization, vector optimization. I. INTRODUCCION A OPTIMIZACION de funciones objetivo es un tema importante, tanto para investigadores como para practicantes, por el hecho de que todavia existen problemas abiertos en esta area. En muchos problemas cientificos y de ingenieria es dada una funcion )
Comparative Study Assessing the Canal Cleanliness Using Automated Device and Conventional Syringe Needle for Root Canal Irrigation—An Ex-Vivo Study

The success of endodontic treatment relies on both apical and coronal sealing. To achieve a good three-dimensional seal, the removal of the smear layer becomes mandatory. This study aims to assess the difference in debris accumulation and smear layer formation while using automated root canal irrigation and conventional syringe needle irrigation. Single-rooted human mandibular premolar teeth (n = 30) which were indicated for orthodontic extractions were selected. An endodontic access cavity was prepared, and a glide path was created. Based on the irrigation protocol decided upon for the study, the teeth were randomly allocated into three study groups, namely Group 1, where the manual syringe needle irrigation method was adopted; Group 2, in which automated root canal irrigation was undertaken; and Group 3, in which teeth remained un-instrumented as it was considered the Control group. The teeth were decoronated at the cement-enamel junction (CEJ) and were subjected for scanning electron microscopy (SEM) examination. Debris and smear layers were viewed in 1000× magnification and scored. A statistically significant (p < 0.05) lower mean debris and smear layer score (p < 0.05) was observed in both study groups when compared with the control group. However, no significant difference (p > 0.05) in the debris and smear layer was observed between the manual syringe needle irrigation and automated irrigation, although automated irrigation devices can be a potential alternative. The present study concluded that the efficacy of smear layer removal remained the same with both automated irrigation and manual syringe irrigation.
IN VITRO GAS PRODUCTION CHARACTERISTICS OF THE EXTRACTS AND RESIDUES OF FOUR MULTIPURPOSE TREE SEEDS

Department of Animal Production and Health, Federal University of Agriculture, Abeokuta. Department of Pasture and Range Management, Federal University of Agriculture, Abeokuta. opeyanju2003@yahoo.com, phone: 08038093677 The extracts from the seeds of four tropical multipurpose trees Leucaena leucocephala (LL), Pterocarpus santalinoides (PS), Treculia africana (TA) and Enteolobium cyclocarpum (EC) in two solvents (ethanol and methanol) and two levels (0.5ml and 1.0ml) were evaluated for their effect on rumen fermentation and in vitro gas production. In vitro gas production of the residues of the seeds after extraction of the secondary metabolites was carried out in a 24 –hour incubation. Gas production per 200 ml DM of substrate (guinea grass and concentrate mixture in ratio 3:2) was significantly higher (p<0.05) with ethanolic extracts of all the seeds at both levels except EC at 0.5 ml, than the control (i.e. substrate without plant extracts). Methanolic extracts of all the seeds had significantly (p<0.05) lower gas production due to the secondary metabolites (saponin, tannin and steroid) extracted from the seeds which enhance low gas production during fermentation than the control except EC and PS at 0.5ml. Gas production from the methanol residue of the seeds was significantly (p<0.05) higher than that of the ethanol residue. Low gas production prevents the accumulation of greenhouse gases in the atmosphere and also confirms absence of bloat ln the animals and efficient utilization of the feeds for production purposes thereby meeting farmers expected goals.
Design of Fuzzy Multiobjective Linear Program Integrated with Fuzzy Vikor for Facility Location

Production level of a company increases mainly based on the demand and needs of that location. Facility location models are used to determine the optimal locations based on operating cost, accessibility of the existing, and future facilities. Selection of Location in supply chain for constructing a firm, is based on quantitative and qualitative factors. It is assessed by linguistic variables under fuzzy environment where uncertainty, vagueness, and subjectivity are handled. This paper deals with the design of Fuzzy multi objective Linear Programming model, integrated with Fuzzy VIKOR method. Fuzzy VIKOR method is used for assessing the qualitative factors and mathematical model such as Fuzzy Mixed Integer Linear programming is used for assessing the quantitative factors. Fuzzy VIKOR focuses on ranking&selecting from a set of alternatives in the presence of conflicting criteria by comparing the measure of "Closeness" to the "ideal" alternative, and thus to discover a best solution. It provides a rational, systematic process, to discover a best solution. It is used to resolve a fuzzy multi-person, multi-criteria decision-making problem. It also allows decision makers to specify the preferred solution for a given decision problem in real organizational settings. Fuzzy Multi Objective Linear Programming is used to find the optimum solution. A case example is illustrated for location selection of a firm, and the results are validated by integrating Fuzzy Mixed Integer Linear Programming with Fuzzy VIKOR method.
Epithelium-off corneal cross-linking versus transepithelial diluted alcohol and iontophoresis-assisted corneal cross-linking in keratoconus patients with thin corneas

and other from irreversible adverse effects of ultraviolet (UV) irradiation based on experimental and clinical research (2,3). A significant portion of keratoconus patients (25%) are diagnosed at an advanced stage, with a corneal thickness of than 400 and these patients are at a higher risk of potential achieve safe Aims: To evaluate the efficacy and safety of transepithelial diluted alcohol and iontophoresis-assisted corneal cross-linking (DAI-CXL) and compare 24-month visual and topographic outcomes with accelerated CXL using hypo-osmolar riboflavin (A-CXL) in keratoconus patients with thin corneas (below 400 μm with epithelium). Methods: This retrospective study included keratoconus patients who underwent DAI-CXL or A-CXL. Uncorrected and corrected distance visual acuity (UDVA and CDVA) and data obtained from corneal topography were analyzed at baseline and 12 and 24 months of follow-up. Corneal demarcation line depth (DLD) at 1 month and corneal endothelial cell density (ECD) at 24 months were also evaluated. Results: The study included 25 eyes of 25 keratoconus patients (mean age: 25.48±6.69 years, male: 52%). DAI-CXL and A-CXL groups consisted of 13 and 12 patients, respectively. In both groups, median UDVA improved significantly at 24 months (p<0.05) whereas CDVA was similar despite a trend towards improvement. Median K-max decreased by 2.77 [interquartile range (IQR): 2.67] D and 2.24 (IQR: 4.38) D in DAI-CXL group (p=0.033) and A-CXL group (p=0.060), respectively. Corneal HOAs showed a significant improvement in only the DAI-CXL group (p=0.004). Average DLD was 237±67 μm in DAI-CXL and 242±57 μm in A-CXL (p=0.346). No significant changes in ECD were observed in both groups. Median follow-up changes in UDVA, CDVA, K-max, HOAs, and ECD were similar in the groups. Conclusions: We observed similar efficacy of transepithelial DAI-CXL to A-CXL in slowing down the progression of keratoconus in thin corneas without notable effects during a 24-month follow-up period.
On some combinatorial and algebraic properties of Dunkl elements (Topics in Combinatorial Representation Theory)

We introduce and study a certain class of nonhomogeneous quadratic algebras together with the special set of mutually commuting elements inside of each, the so-called Dunkl elements. We describe relations among the Dunkl elements. This result is a further generalization of similar results obtained in [10],[32] and [21]. As an application we describe explicitly the set of relations among the Gaudin elements in the group ring of the symmetric group, cf [30]. Yet another objective of our paper is to describe several combinatorial properties of some special elements, the so-called Coxeter element and the longest element, in the associative quasi-classical Yang-Baxter algebra. In the case of Coxeter element we relate the corresponding reduced polynomials introduced in [40], with the $\beta$-Grothendieck polynomials for some special permutations $\pi_{k}^{(n)}$ . Moreover, we show that the specialization $\mathfrak{G}_{\pi_{k}^{(n)}}^{(\beta)}(1)$ of the $\beta$-Grothendieck polynomial $\otimes_{(n)}^{(\beta)}(X_{n})$ counts the number of k-dissections of a convex $(n+k+1)$-gon ac$\pi_{k}$ cording to the number of diagonals involved. When the number of diagonals in a k-dissection is the maximal possible, we recover the well-known fact that the number of k-triangulations of a convex $(n+k+1)$ -gon is equal to the value of a certain Catalan-Hankel determinant, see e.g. [36]. We also show that for a certain 5-parameters family of vexillary permutations, the specialization $x_{i}=1,$ $\forall i\geq 1$ , of the corresponding $\beta$-Schubert polynomials $\mathfrak{S}_{w}^{(\beta)}(1)$ coincides with some FussNarayana polynomials and their generalizations. We also point out on a conjectural connection between the sets of maximal compatible sequences for the permutation $\sigma_{n,2n,2,0}$ and that $\sigma_{n,2n+1,2,0}$ from one side, and the set of VSASM$(n)$ and that of CSTCPP(n) correspondingly, from the other, see Comments 3.6 for details. Finally, in Section 3 we introduce and study a multiparameter generalization of reduced polynomials introduced in [40], that of Catalan, Narayana and Schroder numbers. In the case of the longest element we relate the corresponding reduced polynomial with the Ehrhart polynomial of the Chan-Robbins polytope. 数理解析研究所講究録 第 1795巻 2012年 1-44
Effects of Low-Volume High-Intensity Interval Training Compared to Moderate-Intensity Continuous Training on Inflammatory Profile in Women with Type 2 Diabetes

Background : The objective was to compare the effects of low-volume high-intensity interval training (HIIT) to moderate-intensity continuous training (MICT) on the inflammatory profile in older women with type 2 diabetes (T2D). Methods : Thirty older physically inactive women (68 ± 5 years) with T2D were randomized in two groups: HIIT (75 min/week with 10 min/session at high intensity) or MICT (150 min/week). Inflammatory profile (IL-6, IL-10, IL-15, TNF- α , and MCP-1; Luminex), body composition (iDXA), and cardiometabolic profile (A1c, glucose, insulin, lipids) were measured in fasting state, before and after the 3-month intervention in 27 participants. Results : While fasting levels of cytokines remained unchanged in the MICT group ( p ≥ 0.18), circulating MCP-1 levels increased (from 160.9 [IQR: 133.5–230.2] to 187.88 [155.3–237.3]) in the HIIT group ( p = 0.023). Linear regression revealed that changes in MCP-1 concentrations were positively associated with changes in A1c ( adjusted R 2 = 0.203; p = 0.018). Conclusions : The results of this study suggest that 12 weeks of either low-volume HIIT or MICT do not improve inflammatory markers in older unfit women with T2D. The correlation between changes in A1c and MCP-1 levels support the role of hyperglycemia in low-grade inflammation.
CP Violation in the Neutrino Sector

This talk will address how various experiments will address the following issues: the $\nu_e$ flavor content of the 3rd neutrino mass eigenstates, $\sin^2 \theta_{13}$, the mass ordering of the neutrinos, ${\rm sign}(\delta m^2_{31})$ and whether CP is violated in the neutrino sector, $\sin \delta \neq 0$.
A Model Combining LightGBM and Neural Network for High-frequency Realized Volatility Forecasting

The financial market is a nonlinear and frequently changing complex dynamic. Volatility, as one of the important indicators to measure the return of financial assets, occupies an indispensable position in the field of financial measurement. With the development of machine learning and massive data technology, there is an increasing demand for volatility prediction. In this paper, an ensemble learning model mainly based on the LightGBM algorithm and supplemented with a neural network is constructed. The model achieves the prediction of high-frequency realized volatility using ultra-high frequency stock market data and through the method of moving windows in finance. The superiority of the LightGBM-NN model is verified by comparing it with the single LightGBM model. The LightGBM-NN model produces less error and has higher accuracy, precision, and F1 score. The lightGBM-NN model has advanced the application of LightGBM in the field of financial measurement, which brings new ideas on how to handle the massive data efficiently and fast in the stock market.