Miracle-dz/UniFAR-FTUs huggingface dataset:
Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review

Magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer detection. This systematic review investigated the role of quantitative MRI features in classifying molecular subtypes of breast cancer. We performed a literature search of articles published on the application of quantitative MRI features in invasive breast cancer molecular subtype classification in PubMed from 1 January 2002 to 30 September 2021. Of the 1275 studies identified, 106 studies with a total of 12,989 patients fulfilled the inclusion criteria. Bias was assessed based using the Quality Assessment of Diagnostic Studies. All studies were case-controlled and research-based. Most studies assessed quantitative MRI features using dynamic contrast-enhanced (DCE) kinetic features and apparent diffusion coefficient (ADC) values. We present a summary of the quantitative MRI features and their correlations with breast cancer subtypes. In DCE studies, conflicting results have been reported; therefore, we performed a meta-analysis. Significant differences in the time intensity curve patterns were observed between receptor statuses. In 10 studies, including a total of 1276 lesions, the pooled difference in proportions of type Ⅲ curves (wash-out) between oestrogen receptor-positive and -negative cancers was not significant (95% confidence interval (CI): [−0.10, 0.03]). In nine studies, including a total of 1070 lesions, the pooled difference in proportions of type 3 curves between human epidermal growth factor receptor 2-positive and -negative cancers was significant (95% CI: [0.01, 0.14]). In six studies including a total of 622 lesions, the pooled difference in proportions of type 3 curves between the high and low Ki-67 groups was significant (95% CI: [0.17, 0.44]). However, the type 3 curve itself is a nonspecific finding in breast cancer. Many studies have examined the relationship between mean ADC and breast cancer subtypes; however, the ADC values overlapped significantly between subtypes. The heterogeneity of ADC using kurtosis or difference, diffusion tensor imaging parameters, and relaxation time was reported recently with promising results; however, current evidence is limited, and further studies are required to explore these potential applications.
Estudio descriptivo de un programa de soporte emocional para familiares de pacientes hospitalizados por COVID-19 en el Hospital Puerta de Hierro de Madrid

La primera ola de la crisis COVID-19, afectó de forma dramática a la población global. Madrid fue una de las regiones más afectadas en España. Por razones de salud pública, se restringieron las visitas de familiares a pacientes hospitalizados, impidiendo que pudieran acompañarlos. El presente artículo expone el estudio deivo que realizamos sobre el programa de soporte emocional que se ofreció a familiares de pacientes que estuvieron ingresados durante la primera ola en el Hospital Puerta de Hierro. Se contactó con 456 familiares (mayormente de género femenino, habitualmente cónyuges o hijos de pacientes). Los familiares de pacientes en UCI y los familiares de género femenino precisaron niveles más exhaustivos de soporte. Aumentar la percepción de apoyo a través de un programa de sostén emocional puede ser importante para los familiares. Sin embargo, pensamos que son necesarios estudios adicionales que exploren los beneficios psicológicos concretos que aportan estas intervenciones.Alternate : The first wave of the COVID-19 crisis dramatically affected the global population. Madrid was one of the most severely affected regions in Spain. For public health reasons, family visits to hospitalized patients were restricted, preventing relatives from accompanying them. This article details the deive study that we carried out on the emotional support program offered to relatives of patients admitted during the first wave at Hospital Puerta de Hierro. A total of 456 relatives (mostly female, usually spouses or sons or daughters of patients) were contacted. Relatives of ICU patients and female relatives d broader levels of support. Increasing the perception of care through an emotional support program can be important for family members. Nevertheless, we consider additional studies to be necessary to explore the specific psychological benefits that these interventions provide.
Hacia el reconocimiento de evidencias arqueológicas por medio de la aplicación de machine learning: una posible nueva herramienta en métodos de prospección

Este es un trabajo de carácter exploratorio que pretende impulsar una metodología de prospección arqueológica basada en la visión computacional para clasificar fotografías de objetos arqueológicos de pequeño tamaño en superficie. Para lograr esto, se le enseñó al sistema a reconocer restos arqueológicos por medio de una muestra de fotografías de desechos líticos y fragmentos cerámicos hallados en superficie en campañas de prospección en el Norte Grande de Chile, para luego pedirle que analizara y reconociera otra muestra de los mismos tipos de objetos. Los resultados preliminares demuestran una tasa de error de solo el 6,6% en los ensayos desarrollados. Este trabajo abre la posibilidad de utilizar esta técnica en base a fotografías de baja altura tomadas con drones, lo que permitiría obtener resultados más precisos, menos costosos y en menor tiempo.
Using Advanced Tools, Techniques, and Methodologies

Using a Markov chain approach in which the transition matrix contains the overall transitions in grades from high school to university, we compute the expected changes in undergraduate performance between the beginning and the end of a student's degree. The data are compiled from graduates at the University of Barcelona (Spain) for the period 1996-2003. The empirical results show small changes in the ergodic solution if transition probability of improved grades is increased, at least for the period considered. However, educational policies aimed at increasing transitions from lower to upper states seem to be more effective at lower levels. Likewise, the transitions from high school grades to university grades differ according to the kind of high school that students attended (public, private religious, or private non- religious).
Crystallization Process as a Final Part of Zero Liquid Discharge System for Treatment of East Baghdad Oilfield Produced Water

This study investigated the application of the crystallization process for oilfield produced water from the East Baghdad oilfield affiliated to the Midland Oil Company (Iraq). Zero liquid discharge system (ZLD) consists of several parts such as oil skimming, coagulation/flocculation, forward osmosis, and crystallization, the crystallization process is a final part of a zero liquid discharge system. The laboratory-scale simple evaporation system was used to evaluate the performance of the crystallization process. In this work, sodium chloride solution and East Baghdad oilfield produced water were used as a feed solution with a concentration of 177 and 220 g/l. The impact of temperature (70, 80, and 90 °C), mixing speed (300, 400, and 500 rpm), feed concentration (177 and 220 g/l), and time (0.5-9.5 h) on the crystallization performance for oilfield produced water treatment were investigated on evaporation rate and recovery. The recovery increased with increasing temperature and mixing speed while decreasing with an increase in feed concentration. Pure water and salts were recovered from the concentrated produced water, the recovery of pure water at 80 °C, 400 rpm, and 220 g/l feed concentration was 82.22 and 81.35% after 5.5 h for NaCl solution (i.e., simulated oilfield produced water) and oilfield produced water, respectively.
One-cycle control for three-phase single-capacitor Z- source inverter with unity power factor

ABSTRACT This paper proposed a novel three-phase single-capacitor Z-source inverter (SC-ZSI) topology and a one-cycle control (OCC) method for three-phase SC-ZSI. It uses a unique single-capacitor Z-source impedance network for boosting its output voltage. Comparing with SL-ZSI and SL-qZSI, the proposed SC-ZSI reduces capacitor voltage stress and inductor current stress with the same boost factor. Comparing with L-ZSI, SL-ZSI, and SL-qZSI, the proposed SC-ZSI can provide a high boost factor with a small shoot-through duty ratio. A novel OCC method for three-phase SC-ZSI with unity-power-factor correction is proposed. The method is composed of two parts and described in detail. One part is the OCC for DC link voltage, and the other part is three-phase AC voltage OCC based on SVPWM. The simulation and experimental results show that the topology of SC-ZSI is correct and the OCC for SC-ZSI is effective.
Preparation of Modified Starch Nanoparticles from Beneng Taro (Xanthosoma undipes K. Koch) as Active Packaging Materials via Nanoprecipitation Method

Starch nanoparticles is one of the most recently developed starch products that have been used in plastic and food packaging applications. The aim of this study was to investigate the production of modified starch nanoparticles for active food packaging materials. Starch nanoparticles were fabricated via nanoprecipitation method and characterized by Particle Size Analyzer (PSA), Scanning Electron Microscopy (SEM), and Ultraviolet (UV)-visible (UV-Vis) spectrophotometry. The modification process was conducted by adding lemongrass oil as active ingredient under rapid stirring. The result showed that modified starch nanoparticles exhibited spherical particles with a diameter of approximately 300-400 nm. The present method for modification of starch nanoparticles may provide an alternative approach to increase the usability of starch from Beneng Taro as local produce in Banten Province.
Decade of Inequality between the Rich and the Poor in Utilizing Antenatal Care Services in Nepal (2006-2016)

The utilization of antenatal care service (ANC) in Nepal is in an increasing trend; however, the utilization pattern differs from socioeconomic factors. Issues are the same but the utilizing pattern of ANC is not the same among women of the same age groups. The Sustainable Development Goals (SDGs) has also focused on inclusive and equitable health services, and promised to no one left behind. In this regard, this study aims to explore a decade of inequality between the rich and the poor in utilizing the ANC in Nepal using the three consecutive Nepal Demographic Health Surveys i.e., 2006, 2011 and 2016. Results suggest that women's household economies divide the pattern of ANC utilization. Despite the tremendous progress in health technologies, the utilization of ANC coverage gap between the rich and poor are still prevalent. The evidence from a decade inequality between the rich and the poor suggests that ANC services should be improved in Nepal, especially among the poor women who are concerned about their own health as well as the newborn health.
New Isolated Autochthonous Strains of S. cerevisiae for Fermentation of Two Grape Varieties Grown in Poland

Many commercial strains of the Saccharomyces cerevisiae species are used around the world in the wine industry, while the use of native yeast strains is highly recommended for their role in shaping specific, terroir-associated wine characteristics. In recent years, in Poland, an increase in the number of registered vineyards has been observed, and Polish wines are becoming more recognizable among consumers. In the fermentation process, apart from ethyl alcohol, numerous microbial metabolites are formed. These compounds shape the wine bouquet or become precursors for the creation of new products that affect the sensory characteristics and quality of the wine. The aim of this work was to study the effect of the grapevine varieties and newly isolated native S. cerevisiae yeast strains on the content of selected wine fermentation metabolites. Two vine varieties—Regent and Seyval blanc were used. A total of 16 different yeast strains of the S. cerevisiae species were used for fermentation: nine newly isolated from vine fruit and seven commercial cultures. The obtained wines differed in terms of the content of analyzed oenological characteristics and the differences depended both on the raw material (vine variety) as well as the source of isolation and origin of the yeast strain used (commercial vs. native). Generally, red wines characterized a higher content of tested analytes than white wines, regardless of the yeast strain used. The red wines are produced with the use of native yeast strains characterized by higher content of amyl alcohols and esters.
The experimental investigation of the performance phosphor coating

Different screen printing parameters have a distinct effect on the quality of coating that is created. This experimental work looked to measure these parameters. It is divided into two parts where the first part measured the surface wettability of various substrates Wettability measurement was performed through measuring the contact angle between the droplet and the substrate surface. Varying the UV exposure time by putting substrate in the UV ozone cleaner has a considerable effect on the wettability of the surface. Water was supplied to a PEDOT: PSS substrate via Fibro DAT 1100 which is attached to a camera and a computer for capturing and analyzing coatings for the spread of a water droplet on the substrate surface. From these analyses, the main aim is to measure the contact angle between the droplet and the substrate surface which indicates the surface wettability. Some factors may affect the wettability of the surface such as varying the UV time and varying the hold time. As a result, increasing these times will decrease the contact angle where a small contact angle indicates a favorable wettability. The second part measured the electrical resistance and transparency of the printed ink after various printing experiments such as implementing UV treatment, changing the ink and changing the mesh ruling. The Rheometer device was used to test the properties of the specimen. Where this device can be used to measure the properties of the specimen such as the shear modules, in this paper the plate was used to effect on the specimens, where different readings are recorded for these specimens. Also, 24 samples were prepared and the electrical resistance for these samples was measured in this paper. As a result, the electrical resistance for treated samples was greater than that for untreated samples; the electrical resistance of Elentan ink was greater than that for PEDOT at the same conditions. Changing the screen size from (61-64) to (40-100) increase the value of resistance at the same conditions. For the transparency measurements the Elentan ink had a higher transparency than PEDOT ink. The paper also carried out an analysis for the relation between the thickness of the phosphor layer and the lamp output, where the relation was inversely proportion.
An adaptive data cleaning framework: a case study of the water quality monitoring system in China

ABSTRACT Robust detection of patterns at low signal-to-noise ratios (SNRs) is a fundamental challenge of analysing high-frequency data, particularly in water quality monitoring. When conducting water quality data analysis, an indispensable step is to clean the data noise. In this paper, a new method named ADAPTIVE-EWT-MFE, based on empirical wavelet transform (EWT) and multiscale fuzzy entropy (MFE), is proposed to implement time series data cleaning. EWT-MFE can decompose the spectrum into different intrinsic mode functions (IMFs). According to different characteristics of the IMFs, an adaptive and adjustable parameter based on MFE, which reflects the intrinsic characteristics, is introduced into the threshold function to improve the performance of noise cleaning. Finally, this hybrid data cleaning method is designed to filter the high-frequency noise on the IMFs. Results show that our proposed method not only has great potential to improve the noise-cleaning performance but also does not distort noise-free data. Graphical Abstract
SGBRT: An Edge-Intelligence Based Remaining Useful Life Prediction Model for Aero-Engine Monitoring System

In this paper, we develop an <italic>edge intelligence</italic> based aero-engine performance monitoring system. The proposed approach can effectively predict the <italic>remaining useful life</italic> of aero-engines, which is the main focus within the <italic>prognostics and health management</italic> framework – thus it provides support for optimal operation planning and maintenance decisions. The proposed model, which we term SGBRT, follows a hybrid machine learning approach, combining a <italic>self-organizing mapping</italic> network with a <italic>gradient boosting regression tree</italic> model. In particular, the SGBRT computes the <italic>remaining useful life</italic> of an aero-engine in two steps: it first employs a <italic>self-organizing map</italic> to cluster the sample data; and then it fits each cluster by way of a <italic>gradient boosting regression tree</italic>. Detailed simulation results with the C-MAPSS dataset show that this method achieves a higher prediction accuracy and better generalization than other conventional approaches; the compared methods range from classical approaches such as a <italic>switching Kalman filter</italic> to state-of-the-art deep learning models.
Long-term generation expansion planning employing dynamic programming and fuzzy techniques

This research proposes a new method for long-term generation expansion planning. The method adopts a multi-aspect optimal approach which considers the capital cost of the newly added units, the maintenance and fuel costs, environmental impact, reliability, etc. To accommodate the growth of power load, the generation capacity needs to expand to meet the load demand. In order to find an optimal alternative to increase the generation capacity and satisfy different constraints economically and efficiently, the optimization technique is employed. The dynamic programming (DP) as the optimization method is used in this study. Since the requirements of environmental standard and power quality are getting more and more strict, economical factors are no more the unique one to weigh for the generation expansion planning. The environmental protection and reliability are also important factors of the problem. However, types of pollution are very complicated and are not easy to incorporate into the solution model. In this research, we apply the fuzzy theory to represent the state of pollution and judge if a combination of investment is acceptable or not. Moreover by employing the fuzzy technique, we can delete a lot of unnecessary paths and states to reduce the computation burden of DP. Finally we use an example to illustrate and prove the applicability and validity of the presented approach.
Inexact generalized proximal point algorithm with alternating inertial steps for monotone inclusion problem

unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract. In this paper, we propose and study an inexact generalized proximal point algorithm with alternated inertial steps for solving monotone inclusion problem and obtain weak convergence results under some mild conditions. In the case when the operator T is such that T−1 is Lipschitz continuous at 0, we prove that the sequence of the iterates is linearly convergent. Fejér monotonicity of even subsequences of the iterates is also obtained. Finally, we give some priori and posteriori error estimates of our generated sequences.
Experimental Study of Higher Harmonics Content in Street Lighting System Current

Due to energy efficiency improvement requirements, street lighting system operators tend to reduce the electricity consumed by the lights themselves, and also minimize losses in the system. Smart lighting control systems are commonly used for this purpose. An important aspect of electricity power and quality issues is the higher harmonics content in street lighting system current, which was the subject of experimental research the results of which were presented in this paper. DOI: 10.12736/issn.2300-3022.2016204
Inoculation of whole-plant maize with viable lactic acid bacteria: effects on silage fermentation, aerobic stability and performance of dairy cows

The study was aimed to evaluate the effect of the addition of a lactic acid bacteria (LAB) inoculant to whole-plant maize at ensiling on the quality, aerobic stability of the silage as well as the intake, milk production and milk composition of Lithuanian black and white dairy cows fed inoculated or not inoculated maize silage diets. The inoculant contained Lactobacillus plantarum , L. brevis and L. kefiri as well as carrier inulin. Maize was ensiled in two silo trenches with or without the inoculant. Chemical and microbiological analyses were carried out on a representative sample of the 5 replicates for each control and inoculated silage at day 92 of storage. At day 92 of ensiling, the silage was exposed to air to determine the aerobic stability. Inoculation caused a reduction in pH value, increased lactate and propionate concentrations and decreased ammonia nitrogen, ethanol and butyrate concentrations. Yeast and mould contamination was reduced in the inoculated silage, which led to an increased aerobic stability compared to the not inoculated one. The inoculated silage had a higher energy concentration, and cows fed on it produced higher fat and energy corrected milk yield from day 69 until end of the experiment (day 92). Milk from cows fed the inoculated silage had a higher fat percentage, similar contents of protein and a lower number of somatic cell counts compared with that from cows fed control. Feed efficiency was improved in cows fed the inoculant treated silage compared to the conventionally produced silage.
Toward point-of-care breast cancer diagnosis: validation of a spatially tracked automated 3D ultrasound system

Early detection of breast cancer has reduced mortality in women through the widespread implementation of screening mammography. However, challenges still exist in 40% of women with dense breasts, which reduces the mammographic sensitivity and detection of almost one-third of breast cancers. Automated breast (AB) ultrasound (US) has been proposed for screening women with dense breasts, enabling three-dimensional (3D) visualization, improved reproducibility, and reduction in operator dependence, compared to handheld US. However, ABUS systems require operator training for highquality image acquisition, experienced interpretation, and are costly. We propose an alternative, adaptable, and costeffective spatially tracked 3DUS system for automated whole-breast imaging. This paper describes the system design, optimization of 3D spatial tracking, multi-image registration and fusion of 3DUS acquired images in a tissue-mimicking breast phantom, and the first proof-of-concept healthy volunteer study. In the tissue-mimicking breast phantom, wholebreast 3DUS imaging and multi-planar visualization in axial, sagittal, and coronal views were demonstrated with the multiimage registration and fusion of acquired spatially tracked 3DUS images. The first clinical use of the spatially tracked 3DUS system was demonstrated in a healthy male and female volunteer study, showing high-resolution multi-image registration and fusion of two acquired 3DUS images. With an optimized acquisition protocol, our proposed spatially tracked system shows potential utility for automated whole-breast 3DUS imaging as a bedside point-of-care (POC) approach, toward improving widespread, accessible imaging in women with dense breasts.