Miracle-dz/UniFAR-FTUs huggingface dataset:
Hipovitaminosis D en pacientes hospitalizados por trastornos por consumo de sustancias en Unidad de Adicciones del Hospital Clínico Universidad de Chile

The pathological consumption of alcohol and other drugs is associated with calcium metabolism disfunction through different pathways. Hypovitaminosis D contributes to acute a chronic neuronal injury in alcohol dependent patients. We do not have national evidence regarding the presence of hypovitaminosis D in addicted patients and there is a lack of information in the literature regarding polysubstance users. In this retrospective study, we evaluate the presence of hypovitaminosis of D in Substance Use Disorder inpatients treated in the Psychiatric Clinic of the University during the months of August to November 2017 and we described their main characteristics. 24 patients were evaluated, 19 of whom presented levels lower than 30 ng/ml of Vitamin D. Of those patients with hypovitaminosis 79% were men and 90% of them consumed alcohol, although in only 26% alcohol was the main substance. The main substance reported by the patients was cocaine (37%), smokable cocaine (32%) and marijuana (5%). Despite the methodological limitations of the study and the high prevalence of Hypovitaminosis D reported in the Chilean population, the results of this study suggest the need for a systematic evaluation of Vitamin D levels in patients hospitalized for addictions to adequately supplement those who require it.
Multiresolution solid objects over simplicial complexes

Even though there has been significant growth in solid and volumetric representations, rapid advances in manufacturing technology, imaging technology, and material science in recent years pose new challenges which have not been fully resolved by the current representation techniques. In this dissertation, we address the challenges by proposing a novel framework for solid model representation based on subdivision process. We call our approach Multiresolution Solid Objects, or MSO. Within the MSO framework, we represent volumetric objects by a series of new solid subdivision schemes. Subdivision solids share many benefits of sub-division surfaces, yet they have the complexity and the mathematical challenges that are unique to the high dimensional cases. This dissertation follows our development of MSO framework. We begin with the discussion of general polyhedral mesh structures in 3D space and develop a new structured mesh in 3D based on simplicial complexes, called Octet-truss. The dissertation continues with the derivation of new solid subdivision schemes over the regular meshes, and the generalization to arbitrary tetrahedral and hexahedral meshes. We present (i) a box-spline based approximate solid scheme; (ii) an interpolatory solid scheme over arbitrary complex meshes; (iii) an interpolatory solid scheme over arbitrary hexahedral meshes; and finally (iv) a unified subdivision schemes for multidimensional objects based on box-splines. Each scheme is derived from volumetric splines, a weighted perturbation of linear interpolation, and the Lagrange interpolating polynomials. The derivation is followed by the proving of the convergence and smoothness of the schemes using well-established mathematical techniques. In rare cases, we provide the empirical data which highly suggest the convergence and the smoothness of the schemes. In addition to the theoretical contributions, this dissertation presents numerous practical implementations to emphasize the benefits of our framework. These include arbitrary shape design, heterogeneous material modeling, free-form design, non-manifold object representation, boundary and feature representation and free-form deformation. Finally, we describe few new applications including high quality partitioning and fitting, and feature-preserving volume filtering, which lead toward a wide-range of applications in the future.
Molecularly Imprinted Polymer Based Antenna Sensor for Methanol Vapor Sensing

We report a state-of-the-art molecularly imprinted polymer (MIP) based antenna sensor to detect methanol vapor at room temperature. A conductive MIP-graphite composite was synthesized with specificity to methanol and deposited on a 3.6 GHz resonant patch antenna by drop coating. The copper-layered antenna with affinity composite worked in tandem to produce a sensitive and selective room temperature antenna sensor. Continuous sensing was accomplished by monitoring the reflected power, <inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula>, of the antenna in a chamber with methanol vapor. The sensor functions under ambient conditions, providing a strong <inline-formula> <tex-math notation="LaTeX">$S_{11}$ </tex-math></inline-formula> response of approximately <inline-formula> <tex-math notation="LaTeX">$554\,\,\mu \text {mol} \text {dm}^{-3}\text {dB}^{-1}$ </tex-math></inline-formula>. Thus, the proposed sensor has great potential in gas-sensing applications, paving the way for antenna-based pollution monitoring.
A likelihood based approach for joint modeling of longitudinal trajectories and informative censoring process

Abstract We propose a joint modeling likelihood-based approach for studies with repeated measures and informative right censoring. Joint modeling of longitudinal and survival data are common approaches but could result in biased estimates if proportionality of hazards is violated. To overcome this issue, and given that the exact time of dropout is typically unknown, we modeled the censoring time as the number of follow-up visits and extended it to be dependent on selected covariates. Longitudinal trajectories for each subject were modeled to provide insight into disease progression and incorporated with the number follow-up visits in one likelihood function.
The Regulation of m6A Modification in Glioblastoma: Functional Mechanisms and Therapeutic Approaches

Simple Summary Brain tumours are a leading cause of cancer-related death in people under the age of 40, but most remain untreatable. There is an urgent need for a greater understanding of tumour biology to help guide the development of new treatments. We hypothesise that a type of genetic code—RNA—may be key to understanding how these tumours develop, and so how to treat them. Evidence has shown that the modification of this RNA is altered in brain tumours, and this may serve to regulate diverse mechanisms including tumour proliferation, invasion and treatment evasion. However, the precise mechanisms by which these RNA modifications exert their functional effects are poorly understood. This review summarises the evidence for this disordered regulation of RNA methylation in glioblastoma, and explores the downstream functional effects of such modification on RNA fate. Abstract Glioblastoma is the most prevalent primary brain tumour and invariably confers a poor prognosis. The immense intra-tumoral heterogeneity of glioblastoma and its ability to rapidly develop treatment resistance are key barriers to successful therapy. As such, there is an urgent need for the greater understanding of the tumour biology in order to guide the development of novel therapeutics in this field. N6-methyladenosine (m6A) is the most abundant of the RNA modifications in eukaryotes. Studies have demonstrated that the regulation of this RNA modification is altered in glioblastoma and may serve to regulate diverse mechanisms including glioma stem-cell self-renewal, tumorigenesis, invasion and treatment evasion. However, the precise mechanisms by which m6A modifications exert their functional effects are poorly understood. This review summarises the evidence for the disordered regulation of m6A in glioblastoma and discusses the downstream functional effects of m6A modification on RNA fate. The wide-ranging biological consequences of m6A modification raises the hope that novel cancer therapies can be targeted against this mechanism.
The Journey of Indonesian Government Accounting

From 1974 to today, Indonesia has undergone many periods of financial management reform. Financial management reform is necessary for a country to attain excellent governance. The crisis that happened in 1997 prompted the adoption of good Governance in Indonesia. The 1997 financial crisis revealed the inadequate management of public finances up until that point. Thus, the Indonesian government began to recognize excellent governance gradually. Government Accounting Standards are the first step towards achieving excellent Governance (SAP). In Government Regulation 71 of 2010, Accrual-based SAP is the proper SAP for implementing good governance. Government Regulation No. 71 of 2010 implements Law No. 17 of 2003 About the Financial Country. Using the accrual method is anticipated to enhance the transparency of financial reporting and the government's public accountability. This type of qualitative descriptive research seeks to comprehend how the transition from pre-reform to the post-reform application of Government Accounting Standards happened. Through a literature search, the data for this investigation were acquired
FDA: strong consistency of the kNN local linear estimation of the functional conditional density and mode

ABSTRACT In this paper we present a new estimator of the conditional density and mode when the co-variables are of functional kind. This estimator is a combination of both, the k-Nearest Neighbours procedure and the functional local linear estimation. Then, for each statistical parameter (conditional density or mode), results concerning the strong consistency and rate of convergence of the estimators are presented. Finally, their performances, for finite sample sizes, are illustrated by using simulated data.
The Monochromatic Column Problem: The Prime Case

Let p1, p2, . , pn be pairwise coprime positive integers and let P = p1p2 · · · pn. Let 0, 1, . ,m−1 be a sequence of m different colors. Let A be an n×mP matrix of colors in which row i consists of blocks of pi consecutive entries of the same color, with colors 0 through m − 1 repeated cyclically. The Monochromatic Column problem is to determine the number of columns of A in which every entry is the same color. A partial solution for the case when m is prime is given.
Tri-Goal Evolution Framework for Constrained Many-Objective Optimization

It is generally accepted that the essential goal of many-objective optimization is the balance between convergence and diversity. For constrained many-objective optimization problems (CMaOPs), the feasibility of solutions should be considered as well. Then the real challenge of constrained many-objective optimization can be generalized to the balance among convergence, diversity, and feasibility. In this paper, a tri-goal evolution framework is proposed for CMaOPs. The proposed framework carefully designs two indicators for convergence and diversity, respectively, and converts the constraints into the third indicator for feasibility. Since the essential goal of constrained many-objective optimization is to balance convergence, diversity, and feasibility, the philosophy of the proposed framework matches the essential goal of constrained many-objective optimization well. Thus, it is natural to use the proposed framework to deal with CMaOPs. Further, the proposed framework is conceptually simple and easy to instantiate for constrained many-objective optimization. A variety of balance schemes and ranking methods can be used to achieve the balance among convergence, diversity and feasibility. Three typical instantiations of the proposed framework are then designed. Experimental results on a constrained many-objective optimization test suite show that the proposed framework is highly competitive with existing state-of-the-art constrained many-objective evolutionary algorithms for CMaOPs.
Impact of Joule heating on the stability phase diagrams of perpendicular magnetic tunnel junctions

Measured switching voltage-field diagrams of perpendicular magnetic tunnel junctions exhibit unexpected behavior at high voltages associated with significant heating of the storage layer. The boundaries deviate from the critical lines corresponding to the coercive field, which contrasts with the theoretically predicted behavior of a standard macrospin-based model. Combining recent experimental studies of the temperature dependence of spin polarization and perpendicular magnetic anisotropy, we are proposing a modified model. Our approach takes into account the Joule heating during the writing pulse, which reduces the spin polarization and the anisotropy, thereby reducing the spin torque efficiency and the coercive field during the switching. The numerical macrospin simulations based on this model are in agreement with our experimental measurements and consistent with the results derived from the linearization of Landau-Lifshitz-Gilbert equation.
Super-resolution GANs for upscaling unplanned urban settlements from remote sensing satellite imagery – the case of Chinese urban village detection

ABSTRACT The semantic segmentation of informal urban settlements represents an essential contribution towards renovation strategies and reconstruction plans. In this context, however, a big challenge remains unsolved when dealing with incomplete data acquisitions from multiple sensing devices, especially when study areas are depicted by images of different resolutions. In practice, traditional methodologies are directed to downgrade the higher-resolution data to the lowest-resolution measure, to define an overall homogeneous dataset, which is however ineffective in downstream segmentation activities of such crowded unplanned urban environments. To this purpose, we hereby tackle the problem in the opposite direction, namely upscaling the lower-resolution data to the highest-resolution measure, contributing to assess the use of cutting-edge super-resolution generative adversarial network (SR-GAN) architectures. The experimental novelty targets the particular case involving the automatic detection of ‘urban villages’, sign of the quick transformation of Chinese urban environments. By aligning image resolutions from two different data sources (Gaofen-2 and Sentinel-2 data), we evaluated the degree of improvement with regard to pixel-based landcover segmentation, achieving, on a 1 m resolution target, classification accuracies up to 83%, 67% and 56% for 4x, 8x, and 10x resolution upgrades respectively, disclosing the advantages of artificially-upscaled images for segmenting detailed characteristics of informal settlements.
Estimation of stubble biomass in major field crops using residue cutting height

Crop residue is recognized as a potential feedstock for biofuels and a sustainable substitute for fossil energy sources. Expanding the acreage of biofuel crops, it is important to establish a crop residue retention regime to conserve soil fertility and prevent soil erosion. This paper presents simple linear and power equations between stubble biomass ratio (SBR, i. e. percentage of stubble biomass to whole plant biomass) and stubble height ratio (SHR, i. e. percentage of stubble height to maximum plant height) for a wide range of field crops of rice, wheat, oat, corn, sorghum, sunflower, canola, soybean and cotton, using data collected from 15 sites in production fields in 11 provinces across China from 2009 to 2012. Simple linear regressions for the crops were associated with highly significant coefficients of determination (R2) for all crops. Validation with independent datasets also showed high R2 values, indicating model goodness-of-fit. Mean relative error (MRE) and root mean square error (RMSE) values showed good fit for the two allometric relationships for each field crop studied. These results could be used to assess stubble mass for sustainable residue removal in bio-based energy systems.
Effects of Nitrogen and Potassium on Yield and Quality Of Potato (Solanum Tuberosum L.) Cultivars

Effects of nitrogen (N) and potassium (K) fertilization rates on the yield and quality of two potato cultivars, Asterix and Courage were conducted. The treatment combination of N2K2 (N2: 140 kg ha−1 and K2: 152 kg ha−1) had the highest total yield (31.38 and 22.51 t ha-1), marketable tuber yield (29.08 and 20.49 t ha-1) and chips potato yield (36.63 and 36.96%) of the 18 treatment combinations for Asterix and Courage cultivar, respectively. The treatment combination of N2K2 had also the highest specific gravity (1.07 and 1.17 gcm-3), dry matter (22.65 and 22.77%), firmness (45.13 and 42.92 N), and lowest total soluble solid (4.30 and 4.23 oBrix) in both the cultivars, whereas the colour of the chips revealed the least crispness (0.15 and 0.17 N). In order to enhance potato processing quality without reducing production, a lower N and higher K treatment combination may be employed. Bangladesh J. Bot. 52(2): 267-275, 2023 (June)
A Dual-Output Power Supply Integrated High -Voltage Anode Power Supply and Filament Power Supply for Magnetrons

Two or more high-voltage isolated power supplies are required for many high-voltage applications, such as in microwave generating and ion implantation. Traditionally, several separate high-voltage isolated converters are employed, which contain many components and complex control systems. This article proposes a dual-output converter, which consists of two input series connected full-bridge inverters, the two inductor-capacitor-capacitor (LCC) and two inductor-inductor-capacitor (LLC) resonant networks connected with the full-wave Cockcroft–Walton voltage multipliers and the synchronous rectifiers, respectively. Comparing with the traditional solutions, the number of switches and their peripheral circuits are reduced. By regulating the switching frequency and three phase-shift angles of the inverter, the proposed converter allows one port to operate alone or both ports to operate simultaneously, while achieving soft switching, and maintaining the voltage balancing between two input series capacitors. In this article, a detailed analysis of the operating principle and its characteristics such as the output voltage gain and soft switching are presented. Finally, a prototype with two outputs, 4–5 kV/3.8 kW and 15 V/600 W, is built to verify. The results convincingly demonstrate the applicability of offering one or two isolated outputs, which offers a high integrated, efficient, and simple solution for powering the magnetrons.
Spherical aberration coefficients identification of spherical aberration interferograms based on deep learning algorithm

In the field of optical measurement,the spherical aberration always causes a circular speckle which is symmetrical to the optic axis on interferograms and it can even blur the images.In this paper, a deep learning algorithm is put forward to identify the spherical aberration coefficients of monochromatic spherical aberration interferograms.The deep learning algorithm needs sufficient training samples, but it also takes a lot of time to collect the real interferograms as the training samples.The method of zernike polynomial fitting wave surface is much better relative to the least square method.Therefore,this paper adopts the zernike polynomials fitting method,by means of changing aberration coefficients,to obtain a large number of training samples of spherical aberration interferograms by computer simulation.Different from other traditional methods, using deep learning algorithms to identify the information of the interferograms is more efficient, the spherical aberration coefficients of interferograms can be accurately and quickly identified.What is more,this method also simplify the manual processing.
Mass Spectrometry Analysis Reveals Lipids Induced by Oxidative Stress in Candida albicans Extracellular Vesicles

Candida albicans is a commensal fungus in healthy humans that causes infection in immunocompromised individuals through the secretion of several virulence factors. The successful establishment of infection is owing to elaborate strategies to cope with defensive molecules secreted by the host, including responses toward oxidative stress. Extracellular vesicle (EV) release is considered an alternative to the biomolecule secretory mechanism that favors fungal interactions with the host cells. During candidiasis establishment, the host environment becomes oxidative, and it impacts EV release and cargo. To simulate the host oxidative environment, we added menadione (an oxidative stress inducer) to the culture medium, and we explored C. albicans EV metabolites by metabolomics analysis. This study characterized lipidic molecules transported to an extracellular milieu by C. albicans after menadione exposure. Through Liquid Chromatography coupled with Mass Spectrometry (LC-MS) analyses, we identified biomolecules transported by EVs and supernatant. The identified molecules are related to several biological processes, such as glycerophospholipid and sphingolipid pathways, which may act at different levels by tuning compound production in accordance with cell requirements that favor a myriad of adaptive responses. Taken together, our results provide new insights into the role of EVs in fungal biology and host–pathogen interactions.
Athletes with Eating Disorders: Analysis of Their Clinical Characteristics, Psychopathology and Response to Treatment

Eating disorders (ED) have frequently been described among athletes. However, their specific features and therapy responses are lacking in the literature. The aims of this article were to compare clinical, psychopathological and personality traits between ED patients who were professional athletes (ED-A) with those who were not (ED-NA) and to explore differences in response to treatment. The sample comprised n = 104 patients with ED (n = 52 ED-A and n = 52 matched ED-NA) diagnosed according to DSM-5 criteria. Evaluation consisted of a semi-structured face-to-face clinical interview conducted by expert clinicians and a psychometric battery. Treatment outcome was evaluated when the treatment program ended. ED-A patients showed less body dissatisfaction and psychological distress. No differences were found in treatment outcome among the groups. Within the ED-A group, those participants who performed individual sport activities and aesthetic sports presented higher eating psychopathology, more general psychopathology, differential personality traits and poor therapy outcome. Individual and aesthetic sports presented more severity and worse prognosis. Although usual treatment for ED might be similarly effective in ED-A and ED-NA, it might be important to develop preventive and early detection programs involving sports physicians and psychologists, coaches and family throughout the entire athletic career and afterwards.
Consumers’ Preferences and Willingness to Pay (WTP) for Traceable Liquid Milk: A Survey in Dhaka, Bangladesh

ABSTRACT Consumers’ concerns about food safety have recently escalated in many developing nations as a result of repeated food safety incidents. Many countries, including Bangladesh, are trying to introduce more stringent food safety control measures such as food traceability. However, not much is known about the preferences of Bangladeshi consumers for food traceability, including whether they are willing to pay for traceable foods. This study attempts to fill this gap by evaluating factors that may influence consumers’ preferences and WTP for traceable liquid milk. Based on survey data obtained from 384 consumers in Dhaka in 2021, our results indicate that consumers are ready to pay almost 12% price premium for traceable liquid milk than for non-traceable liquid milk. Interval regression analysis reveals that international third-party certification, branding, price, information on contaminants, income, and milk consumption are important factors in determining consumers’ WTP for traceable liquid milk.