Miracle-dz/UniFAR-FTUs huggingface dataset:
DIVERSITY OF THE INDIGENOUS ARBUSCULAR MYCORRHIZAE FUNGI (AMF) IN THE RHIZOSPHERE OF CITRONELLA (Andropogon nardus L.) IN THE DRY LAND REGIONS IN WEST SUMATRA PROVINCE, INDONESIA.

Armansyah 1 , Aswaldi Anwar 1 , Auzar Syarif 2 , Yusniwati dan 2 and Rudi Febriamansyah 2 . 1. Faculty of Agriculture, University of Andalas / Student of Study Program of Agricultural Science, Post Graduated Program, Andalas University, Pascasarjana Building, Limau Manis Padang. 25163. Indonesia. 2, Padang 25163, Indonesia. 2. Faculty of Agriculture, University of Andalas Padang Western Sumatra Indonesia. Manuscript Info Abstract . Manuscript History
Physical modelling of brass instruments using finite-difference time-domain methods

This work considers the synthesis of brass instrument sounds using time-domain numerical methods. The operation of such a brass instrument is as follows. The player’s lips are set into motion by forcing air through them, which in turn creates a pressure disturbance in the instrument mouthpiece. These disturbances produce waves that propagate along the air column, here described using one spatial dimension, to set up a series of resonances that interact with the vibrating lips of the player. Accurate description of these resonances requires the inclusion of attenuation of the wave during propagation, due to the boundary layer effects in the tube, along with how sound radiates from the instrument. A musically interesting instrument must also be flexible in the control of the available resonances, achieved, for example, by the manipulation of valves in trumpet-like instruments. These features are incorporated into a synthesis framework that allows the user to design and play a virtual instrument. This is all achieved using the finite-difference time-domain method. Robustness of simulations is vital, so a global energy measure is employed, where possible, to ensure numerical stability of the algorithms. A new passive model of viscothermal losses is proposed using tools from electrical network theory. An embedded system is also presented that couples a one-dimensional tube to the threedimensional wave equation to model sound radiation. Additional control of the instrument using a simple lip model as well a time varying valve model to modify the instrument resonances is presented and the range of the virtual instrument is explored. Looking towards extensions of this tool, three nonlinear propagation models are compared, and differences related to distortion and response to changing bore profiles are highlighted. A preliminary experimental investigation into the effects of partially open valve configurations is also performed.
Automatic Detection of Sunspots on Full-disk Solar Images Using the Simulated Annealing Genetic Method

Sunspots with strong magnetic fields are the most important manifestations of solar activity, appearing as dark features in the photosphere observed in continuum images. We proposed an artificial intelligence technology called the simulated annealing genetic (SAG) method, which combined the genetic algorithm and simulated annealing algorithm to self-adaptively derive dual thresholds for detecting the umbra and penumbra of sunspots simultaneously. Full-disk continuum intensity images obtained from Solar Dynamics Observatory/Helioseismic Magnetic Imager (HMI) at a cadence of four hours from 2010 May to 2016 December were used. The detection results showed that the dual thresholds derived by the SAG method have outstanding performance in segmenting the umbra and penumbra from the photosphere with a satisfactory robustness efficiently. The boundaries of the umbra and penumbra were finely delineated, even for sunspots at the extreme solar limb. The total sunspot areas, umbral areas, and penumbral areas match very well with the data reported from HMI Debrecen Data (HMIDD), with the correlation coefficients reaching 0.99, 0.99, and 0.95, respectively. The mean ratios of umbra to sunspot areas per year ranged from 0.159 to 0.233. The ratios decreased with an increase in solar activity, which implies that the ratio was related to the solar activity level.
Management and rehabilitation of rhino-orbito-cerebral mucormycosis in immuno-compromised patient- post COVID-19 – deterioration of deteriorated

A 27-year-old male with seropositive status came to ophthalmology OPD with complaints of swelling on medial side of left medial canthus and left lid edema since 2 weeks followed by diminution of vision in left eye since 8 days. History of complete loss of vision in left eye since 7 days. All necessary precautions were taken while examining and performing the surgical procedures. All necessary investigation was done. Patient was diagnosed with Mucormycosis infection which is more common among immunocompromised patients. Exenteration followed by prosthetic eye implantation was done along with necessary medical management. Follow-ups were done at regular intervals.
Individual and social defenses in Apis mellifera: a playground to fight against synergistic stressor interactions

The honeybee is an important species for the agri-food and pharmaceutical industries through bee products and crop pollination services. However, honeybee health is a major concern, because beekeepers in many countries are experiencing significant colony losses. This phenomenon has been linked to the exposure of bees to multiple stresses in their environment. Indeed, several biotic and abiotic stressors interact with bees in a synergistic or antagonistic way. Synergistic stressors often act through a disruption of their defense systems (immune response or detoxification). Antagonistic interactions are most often caused by interactions between biotic stressors or disruptive activation of bee defenses. Honeybees have developed behavioral defense strategies and produce antimicrobial compounds to prevent exposure to various pathogens and chemicals. Expanding our knowledge about these processes could be used to develop strategies to shield bees from exposure. This review aims to describe current knowledge about the exposure of honeybees to multiple stresses and the defense mechanisms they have developed to protect themselves. The effect of multi-stress exposure is mainly due to a disruption of the immune response, detoxification, or an excessive defense response by the bee itself. In addition, bees have developed defenses against stressors, some behavioral, others involving the production of antimicrobials, or exploiting beneficial external factors.
Does the dose matter? Antiproliferative efficacy and toxicity of everolimus in patients with neuroendocrine tumors – Experiences from a tertiary referral center

The mTOR‐inhibitor everolimus has been approved for the treatment of advanced neuroendocrine tumors (NETs) but is associated with relevant toxicities in clinical practice. Hence, optimal treatment sequencing and the impact of dose reductions have yet to be clarified. This retrospective analysis assessed patients with advanced, well‐differentiated NET treated with everolimus at the Medical University of Vienna. The primary objective was to evaluate the efficacy of everolimus in a real‐world cohort. A total of 52 patients treated with everolimus for advanced NET grade 1 (G1) or G2 (or typical or atypical carcinoid) 2010–2021 were included in this analysis. The most common sites of origin were pancreas (44%) and lung (29%). The initial dose was decided by the treating physician based on clinical assessment and 25 patients (48%) each were started at 10 mg/day and 5 mg/day. Median progression‐free survival (PFS) following everolimus in the overall cohort was 9.8 months (95% CI: 4.3–15.3), with a statistically significant PFS difference (p = .03) between NET G1/typical carcinoids (42.9 months) and NET G2/atypical carcinoids (8.9 months). PFS was numerically but not significantly shorter in patients treated with a reduced dose (7.5 months vs. 12.4 months, p = .359). Even in this mixed full/half dose cohort, 93% developed treatment‐related side effects (mostly grade I, no grade IV), 63% had dose reductions or interruptions, and five stopped due to toxicity. Median survival following treatment was 40.9 months (95% CI: 21.5–60.3) and no difference with regard to dosing was observed (p = .517). These data from an unselected patient cohort show long‐term outcomes similar to those reported in the pivotal studies. Comparing everolimus starting dose, median PFS did not significantly differ for patients treated at a lower dose. While this finding is limited by the sample size and warrants prospective verification, initiating therapy at a reduced dose might be practicable and safe in a distinct subset of patients.
Non-Alcoholic Fatty Liver Disease (NAFLD): Molecular Mechanism, Pathological Progression and Treatment

Non-alcoholic fatty liver disease (NAFLD), currently is considered the most common liver disease in the world, affects up to a quarter of the people. NAFLD, characterized by hepatic steatosis, is associated with numerous adverse outcomes and high mortality. Furthermore, fatty acid uptake and de novo lipogenesis production outstrips fatty acid oxidation and export, leading to hepatic steatosis. Hepatic fatty acid uptake beside de novo lipogenesis are enhanced in NAFLD, whereas compensatory fatty acid oxidation is inadequate to normalize lipid levels and, by inducing oxidative stress, may contribute to cellular damage and disease progression, especially when the function of mitochondrial is impaired and increased peroxisomal and cytochromal oxidation. Although lipid output initially increases, it levels off and may decrease as the disease progresses, thereby promoting fat gain. NAFLD is closely associated with many current lifestyle-related diseases, as hepatic steatosis can lead to systemic metabolic imbalances affecting multiple organs. This overview focuses on four major pathways that promote hepatic lipid homeostasis while we discuss the molecular causes of NAFLD
A Point Cloud Registration Algorithm Based on Feature Extraction and Matching

The existing registration algorithms suffer from low precision and slow speed when registering a large amount of point cloud data. In this paper, we propose a point cloud registration algorithm based on feature extraction and matching; the algorithm helps alleviate problems of precision and speed. In the rough registration stage, the algorithm extracts feature points based on the judgment of retention points and bumps, which improves the speed of feature point extraction. In the registration process, FPFH features and Hausdorff distance are used to search for corresponding point pairs, and the RANSAC algorithm is used to eliminate incorrect point pairs, thereby improving the accuracy of the corresponding relationship. In the precise registration phase, the algorithm uses an improved normal distribution transformation (INDT) algorithm. Experimental results show that given a large amount of point cloud data, this algorithm has advantages in both time and precision.
Foundations of Quantum Mechanics: Italian Physical Society

B D'Espagnat New York: Academic Press 1972 pp xiv + 480 price $2950 The philosophical meaning of quantum mechanics has never been convincingly established. This volume, the proceedings of the Enrico Fermi summer school at Varenna in 1970, consists of articles presenting many different aspects and approaches to the problems, as well as many 'answers' written by distinguished scientists and logicians interested in these questions.
RADIUS PROBLEMS FOR ANALYTIC FUNCTIONS

Let P(A,B), -r < B < A < 1, denote the class of all analytic functions p(z) which are subordinate to the function ffi. If f (z) is anaiytic in t/ with /(0) = /'(0) - 1- 0, then . f e S- (A,B) if # e p(A,B). Ler "f e ^9-(A,B) and g € S*(C,D). In this paper, among other results, we compute the radius ,R such that the integral operator ( , rz )1/o
Edge-preserving-based collaborative representation for spectral-spatial classification

ABSTRACT Recently, the nearest regularized subspace (NRS) classifier and its spectral–spatial versions such as joint collaborative representation (JCR) and weighted JCR (WJCR) have gained an increasing interest in the hyperspectral image classification. JCR and WJCR average each pixel with its neighbours in a spatial neighbourhood window. The use of spatial information as averaging of pixels in a local window may degrade the classification accuracy in the neighbourhood of discontinuities and class boundaries. We propose the edge-preserving-based collaborative representation (EPCR) classifier in this article, which overcomes this problem by using the edge image estimated by the original full-band hyperspectral image. The estimated edge image is used for calculation of the weights of neighbours and also the final residuals in the collaborative representation classifier. The advantage of multiscale spatial window is also assessed in this work. Moreover, the kernelized versions of NRS and its improved versions are developed in this article. Our experimental results on several popular hyperspectral images indicate that EPCR and its kernelized version are superior to some state-of-the-art classification methods.
Optimal Control of PDE Theory and Numerical Analysis

We study the numerical approximation of boundary optimal control problems governed by semilinear elliptic partial differential equations with pointwise constraints on the control. The analysis of the approximate control problems is carried out. The uniform convergence of discretized controls to optimal controls is proven under natural assumptions by taking piecewise constant controls. Finally, error estimates are established and some numerical experiments, which confirm the theoretical results, are performed.
AN ANALOGY BETWEEN NONPARAMETRIC PROBLEMS OF ESTIMATING A DISTRIBUTION FUNCTION AND THEIR PARAMETRIC VERSIONS

SUMMARY. The connection between the nonparametric problem of estimating an unknown continuous (or discrete) distribution function and the parametric problem of estimating the proba bility of a success of a binomial distribution is considered. It is found that a class of step function estimators in the nonparametric problems and the linear estimator in the binomial problem have the same decision theoretical properties (minimaxity, admissibility and Bayes). Consequently, it is proved that a class of step function estimators are all admisible under a wide class of integrated weighted squared error loss functions for either continuous or discrete distributions. In particular, the empirical distribution function, as an estimator of an unknown continuous distribution function, is both minimax and admissible under a weighted loss function.
Draft genome sequence of Enterobacter cloacae ST473 harbouring blaCMH-3 isolated from a human patient diagnosed with recurrent bacteriuria in Nigeria

Enterobacter cloacae is among the most frequently isolated species described in clinical infections and is commonly associated with a multidrug resistance (MDR) phenotype. We present the draft genome sequence of a MDR E. cloacae isolated in Nigeria from the urine sample of an adult male outpatient diagnosed with symptomatic recurrent bacteriuria. The isolate was found to be resistant to ceftriaxone, cefotaxime, cefepime and levofloxacin. Genome analysis revealed the presence of the beta-lactamase chromosomal gene blaCMH-3, which may be responsible for the antibiotic resistance observed in the recurrent E. cloacae urinary tract infection.
Using machine learning for automated detection of ambiguity in building requirements

The rule interpretation step is yet to be fully automated in the compliance checking process, which hinders the automation of compliance checking. Whilst existing research has developed numerous methods for automated interpretation of building requirements, none of them can identify or address ambiguous requirements. As part of interpreting ambiguous clauses automatically, this research proposed a supervised machine learning method to detect ambiguity automatically, where the best-performing model achieved recall, precision and accuracy scores of 99.0%, 71.1%, and 78.2%, respectively. This research contributes to the body of knowledge by developing a method for automated detection of ambiguity in building requirements to support automated compliance checking.
Does training and development affect employee retention in the hotel industry?: The mediator role of organizational commitment

The capacity of hotel companies to attract and keep qualified human resources is a critical factor influencing their long-term success. This study aims to verify the effects of training and development on staff retention in hotels located in the Republic of Serbia and to determine if a high degree of organizational commitment alters the strength of the link between these constructs. Descriptive and correlational analysis, ANOVA, T-test, and the regression model for testing mediation effects were applied to a sample of 97 hotel employees. The obtained results confirmed the statistical significance of the association between training and development and employee retention, along with the mediating role of their commitment in this relationship. The study's theoretical contribution enhances knowledge of the intricate connection between training and development, employee commitment, and staff retention. Additionally, the results support hotel management in reinventing the approach for controlling employees' work attitudes through a number of pragmatic implications.
A cyclic group based prime number DFT method for the calculation of the cepstrum

The sequence of coefficients of corresponds to the complex cepstrum of x[n] can be given by the inverse z-transform integral Abstract-Since the introduction of the concept of cepstrum by Bogert [1] in the early 60s, the theoretical and computational aspects of cepstrum analysis have been widely used with success in a wide range of signal processing areas. One of the major methods to compute the cepstrum is to employ the technique of Discrete Fourier Transformation (DFT). However, the direct evaluation of an N-point DFT needs about 4N2 real multiplications as well as additions which slows the calculation substantially. Even the Fast Fourier Transformation (FFT), introduced by Cooley and Tukey [2], still requires 2Nlog_2(N) operations. Thus, for reasonably large sample values of N, such existing methods require an inordinate number of computations. This in turn has made the FFT processing slow and the calculation of the cepstrum expensive. ∫ ∫ ∫
Mediated by tea polypeptides: A green synthesis approach for selenium nanoparticles exhibiting potent antioxidant and antibacterial properties

ABSTRACT This study presents an ecologically conscious methodology for synthesizing tea polypeptides-selenium nanoparticles (TP-SeNPs) exhibiting antioxidant and antibacterial properties, utilizing tea polypeptides (TP). Proteins were extracted from tea leaves using an alkali extraction-acid precipitation method, and response surface methodology (RSM) was employed to optimize the preparation processes for both TP and TP-SeNPs. The TP extract was obtained with the highest TP content of 28.12% at a pH of 6, temperature of 50°C, duration of 3 h, and enzyme concentration of 4%. TP-SeNPs with a minimum particle size of 98 nm were biosynthesized by adding 3% TP at pH 4 and reaction temperature of 55°C for 6 h. The UV spectrum of TP-SeNPs showed an absorption peak at 285 nm. The EDS peak at 1.37 keV confirmed the presence of selenium in TP-SeNPs. Electron microscopy revealed a thin layer coating on the surface of TP-SeNPs. Infrared analysis showed changes in the C=O, NH, and C-N bonds. XRD analysis indicated the formation of a crystalline structure in TP-SeNPs. The absorbance ratio of the peptide selenium nanoparticle colloidal solution remained stable over 7 days at 25°C and 4°C. TP-SeNPs exhibited higher antioxidant activity than SeNPs at high concentrations. TP-SeNPs contain selenium, carbon, oxygen, and nitrogen, and TP plays a role in stabilizing and encapsulating TP-SeNPs. This may involve physical adsorption, covalent interactions, and other unknown interactions, preventing aggregation or degradation. The crystalline structure of TP-SeNPs improves their material properties and enhances their antioxidant and antibacterial abilities.
Caracterización psicosocial de riesgo en contextos de pobreza

A partir de las vivencias y experiencias exploratorias en el quehacer profesional de los autores y conjugadas con el análisis de revisión bibliográfica, desde una mirada psicosocial se caracteriza el impacto del fenómeno pobreza en las personas y las colectividades en el marco de cuatro dimensiones: cognoscitivo, afectivo – emotivo, comportamental y espiritual. En la Introducción, se define conceptualmente el fenómeno psicosocial como formas de comportamientos compartidos que en su origen en un sentido determinante responden a procesos de aprendizaje modelados por condicionamientos socios culturales. Se pretende demostrar las implicaciones las implicaciones de la situación social de pobreza en cuanto a formas de pensamiento, reacciones afectivo - emocionales, conductuales y sentido de trascendencia en quienes subsisten bajo esta condición bajo ocho características considerados de riesgo: desesperanza y fatalismo con repertorio lingüístico restringido, subvaloración personal, estados de ánimo tristes y nostálgicos, tendencia al maltrato con escasa expresión paterna de afecto, pobre autocontrol y autorregulación, desconfianza en la interacción social, proyección temporal reducida al presente sin metas en proyecto de vida, y primacía del locus de control externo, concluyendo que es un aspecto que deben necesariamente tomarse en cuenta e incorporase en las estrategias, políticas y programas de lucha contra la pobreza, para finalmente señalar las Referencias documentales o fuentes consultadas.
The prevalence of overactive bladder and its impact on the quality of life: A cross-sectional study

ABSTRACT Objective Overactive bladder (OAB) is a common condition affecting both men and women and has been shown to affect the quality of life. We conducted this study to estimate the prevalence of OAB, and to incorporate symptom severity, symptom bother and health-related quality of life (HRQL) in the assessment of OAB and evaluate associated factors. Methodology A total of 940 participants were categorized into non-OAB and OAB using the Overactive Bladder Symptom Score (OABSS). HRQL and symptom bother were measured using the Overactive Bladder Questionnaire – Short Form (OAB-q SF). Descriptive analyses and multivariable regression analyses were performed. Results The prevalence of OAB among our population was 27.4%. Patients with older age (Odd ratio [OR] = 2.26, 95% confidence interval [CI]: 1.6–3), higher body mass index (BMI) (OR = 2.6, 95% CI: 1.8–3.8), comorbidities (OR = 2.6, 95% CI: 1.9–3.5) and history of recurrent urinary tract infection (UTI) s (OR = 1.9, 95% CI: 1.4–2.6) were significantly associated with increased risk of OAB (p < 0.001). The mean OAB symptom bothers score was 35.7 + 22.9 and increased significantly across OAB severity groups (p < 0.001). The mean HRQL score was 73.3 + 22 and a significant decreased across OAB severity groups (p < 0.001). All OAB symptoms showed significant positive correlation with increased symptom bother (p < 0.001) in addition to significant inverse correlation with HRQL (p < 0.001). Conclusion OAB is a prevalent condition in our population and the associated symptoms negatively affect HRQL. In this study, the detrimental effect is not exclusive to UUI and can be attributed to the other elements in the symptom spectrum of OAB. Screening for OAB should be considered during routine clinical visits using validated and reliable measures for early detection of symptoms and possible modification of risk factors to improve the outcome.