Miracle-dz/UniFAR-FTUs huggingface dataset:
Radical Prostatectomy Versus Radiation for Clinically Localized Prostate Cancer : Two Systematic Reviews and a Randomized Controlled Trial

In this letter we illustrate why a systematic review by Wallis et al [1] involving mostly observational studies reached opposite results to our systematic review [2] and the most recent level 1 evidence from a multicenter RCT [3], both of which showed that survival following radiation therapy (RT) with or without androgen deprivation therapy is virtually identical to that after radical prostatectomy (RP). Unlike their review, we chose to include only studies that reported 10-yr overall results. Our review accounted for the quality of treatment, acknowledging the level 1 evidence that RT alone is inadequate treatment for men with unfavorable disease, and that studies not allowing adequate adjustments for prostate-specific antigen, Gleason score, and stage were considered less reliable [2]. Wallis et al imply that their meta-analysis accounted for bias when concluding that the higher mortality rate for patients with clinically localized prostate cancer treated by RT compared to RP can be attributed to the differential effects of treatment [1]. Populated by almost entirely lowquality evidence from observational studies according to the Grading of Recommendations, Assessment, Development, and Evaluation (adopted by the Cochrane Collaboration), their study attempts to convince readers that their analysis was unbiased by using an alternative grading system in which 90% of these studies were scored as possessing ‘‘a low risk of bias’’. For example, although the study by Cooperberg et al [4] was scored as having a low risk of bias, 75% of patients treated with RP were aged 67 yr and 75% of those undergoing RT were aged 67 yr, and data on overall survival were not provided to support the comparability of patient cohorts [4]. Since the major randomized trial supporting RP suggests that only patients aged <65 yr benefitted from RP, how can a comparison of
The Geopolitics of Returns: Geopolitical Reasoning and Space-Making in Turkey’s Repatriation Regime

ABSTRACT Despite growing interest in the return of rejected asylum seekers, irregular migrants, and refugees, we do not know enough about how geopolitics affects returns governance. This article addresses this knowledge gap by analysing the case of Turkey, exploring how positions in the global migration regime and relations with countries of origin influence return policies. It first argues that Turkey’s geopolitical reasoning has led it to design an asylum regime, including repatriation and deportation procedures, centred on temporariness. Second, it contends that Turkey’s extraterritorial space-making strategies – namely, military intervention in Syria and humanitarian/development projects in Afghanistan – guide return policies. Examining the Turkish case contributes to our understanding of national returns governance in transit-turned-host countries, which increasingly emphasise repatriation over long-term protection. Finally, the paper contributes more generally to our understanding of the geopolitics of returns by focusing on specific mechanisms that link geopolitical concerns with policy instruments at the state level.
A Comparative Study of the Influence of Various Fungal-Based Pretreatments of Grape Pomace on Phenolic Compounds Recovery

Wineries produce considerable amounts of grape pomace, which is a readily available natural source of bioactive phenolic compounds. In this study, grape pomace was used as a substrate for the cultivation of eleven filamentous fungi (Trametes versicolor TV6, Trametes versicolor TV8, Trametes versicolor AG613, Trametes gibbosa, Phanerochaete chrysosporium, Ceriporiopsis subvermispora, Pleurotus eryngii, Ganoderma lucidum, Ganoderma resinaceum, Humicola grisea, and Rhizopus oryzae) under solid-state conditions (SSF) for 15 days with the aim of improving the recovery of the individual phenolic compounds. Twenty-one phenolic compounds were quantified and the recovery of seventeen of them (gallic acid, ellagic acid, p-hydroxybenzoic acid, syringic acid, vanillic acid, 3,4-dihydroxybenzoic acid, ferulic acid, o-coumaric acid, p-coumaric acid, epicatechin gallate, galocatechin gallate, quercetin, kaempferol, procyanidin B1, procyanidin B2, resveratrol, and ε-viniferin) were positively affected by SSF. Ellagic acid is the most recovered compound, whose content increased 8.8-fold after 15 days of biological treatment with Ceriporiopsis subvermispora compared to the untreated initial sample. Among the microorganisms tested, the fungi Pleurotus eryngii and Rhizopus oryzae proved to be the most effective in increasing the recovery of most phenolic compounds (1.1–4.5-fold). In addition, the nutrient composition (proteins, ash, fats) of grape pomace was positively affected by the biological treatments.
The maximal lactate steady state is ergometer-dependent in experimental model using rats

The maximal lactate steady state (MLSS) is considered the gold standard method for determination of aerobic/anaerobic metabolic transition during continuous exercise, but the blood lactate response at this intensity is ergometer-dependent in human beings. An important tool for exercise physiology and correlated fields is the use of animal models. However, investigation on evaluation protocols in rats is scarce. The aim of the present study was to verify if the MLSS is ergometer-dependent for the evaluation of the aerobic conditioning of rats. Therefore, 40 adult male Wistar rats were evaluated in two different exercise types: swimming and treadmill running. In both, the MLSS was obtained with 4 continuous 25 minutes tests, at different intensities, performed at 48 hours intervals. In all tests, blood samples were collected from a cut at the tail tip every 5 minutes for blood lactate analysis. The swimming tests occurred in a deep cylindrical tank, with water temperature at 31 ± 1°C. The loads used in the tests were 4.5; 5.0; 5.5 and 6.0% of the body weight tied to the animal’s back. For MLSS determination in running exercise, there was selection of running rats and velocities used in the tests were 15, 20, 25, 30 m.min-1. The MLSS was interpreted as an increase not exceeding 1.0 mM of blood lactate, from the 10th to the 25th minute of exercise. The MLSS in swimming exercise occurred at 5.0% of body weight (bw), with blood lactate at 5.20 ± 0.22 mM. The running rats presented MLSS at the 20 m.min-1 velocity, with blood lactate of 3.87 ± 0.33 mM. The results indicated that the MLSS is ergometer-dependent in experimental models using animals, as it is in human beings.
Implementing a Timing Error-Resilient and Energy-Efficient Near-Threshold Hardware Accelerator for Deep Neural Network Inference

Increasing processing requirements in the Artificial Intelligence (AI) realm has led to the emergence of domain-specific architectures for Deep Neural Network (DNN) applications. Tensor Processing Unit (TPU), a DNN accelerator by Google, has emerged as a front runner outclassing its contemporaries, CPUs and GPUs, in performance by 15×–30×. TPUs have been deployed in Google data centers to cater to the performance demands. However, a TPU’s performance enhancement is accompanied by a mammoth power consumption. In the pursuit of lowering the energy utilization, this paper proposes PREDITOR—a low-power TPU operating in the Near-Threshold Computing (NTC) realm. PREDITOR uses mathematical analysis to mitigate the undetectable timing errors by boosting the voltage of the selective multiplier-and-accumulator units at specific intervals to enhance the performance of the NTC TPU, thereby ensuring a high inference accuracy at low voltage. PREDITOR offers up to 3×–5× improved performance in comparison to the leading-edge error mitigation schemes with a minor loss in accuracy.
Subsequent Survival in Medicare Patients Impact of Chronic Kidney Disease on Risk of Incident Atrial Fibrillation and Copyright

Subsequent Survival in Medicare Patients Impact of Chronic Kidney Disease on Risk of Incident Atrial Fibrillation and Copyright © 2012 American Heart Association. All rights reserved. Online ISSN: 2047-9980 Avenue, Dallas, TX 72514 Journal of the American Heart Association is published by the American Heart Association. 7272 Greenville doi: 10.1161/JAHA.112. 002097 2012, 1: J Am Heart Assoc http://jaha.ahajournals. org/content/1/4/e002097 the World Wide Web at: The online version of this article, along with updated information and services, is located on
Aspectos nutricionales y terapéuticos de jengibre (Zingiber officinale Roscoe), cebolla (Allium cepa) y ajo (Allium sativum L.) como alternativa para prevenir los síntomas de la COVID-19.

Tras la rápida propagación de la COVID-19, la Organización Mundial de la Salud (OMS) declaró a esta enfermedad como una pandemia. Dentro de la sintomatología reportada comúnmente destaca fiebre, tos seca, odinofagia, cefalea, rinorrea y/o mialgia. Ante la necesidad de prevenir y/o combatir los síntomas de la enfermedad se ha buscado incrementar el consumo de alimentos que fortalezcan los sistemas inmunitario y respiratorio. Es de resaltar que algunos alimentos tradicionales como el jengibre, la cebolla y el ajo han sido recomendados para contrarrestar algunas enfermedades respiratorias, debido a que presentan propiedades antiinflamatorias y de reforzamiento del sistema inmunitario, ya que contienen componentes bioactivos tales como: compuestos sulfurados, sesquiterpenos, oleorresinas, entre otros. Estos compuestos han demostrado ser efectivos para el intercambio de gases a nivel pulmonar, así como también en mecanismos antioxidantes e inmunomodulatorios relacionados con enfermedades respiratorias. Es por ello que estos alimentos podrían servir para combatir la sintomatología causada por el virus del SARS-CoV-2. El presente artículo tiene como objetivo reunir información para ampliar el conocimiento acerca del contenido e interacción de los compuestos bioactivos presentes en dichos productos alimentarios ante la COVID-19.
Segmentación de los alumnos ingresantes a una universidad pública aplicando el algoritmo K-prototype

En la actualidad, el análisis de datos es una labor desafiante, especialmente en el campo de la educación, debido a que se realizan investigaciones profundas para conocer, entender y gestionar la diversidad de alumnos que ingresan a cada institución superior y con ello plantear estrategias educativas para mejorar el modelo de enseñanza – aprendizaje. El objetivo de este artículo fue caracterizar el perfil de los ingresantes de una universidad pública respecto a sus variables sociodemográficas, económicas y de rendimiento académico utilizando el algoritmo K-prototypes, para lo cual se utilizó datos de alumnos ingresados a la Universidad Nacional Agraria La Molina (Lima, Perú) recolectados a partir del examen de admisión, ficha del ingresante y su certificado de estudios escolares. Se pudo determinar que los ingresados en estudio se ajustan a 5 perfiles, cada uno con características propias, permitiendo agrupar a los ingresados con características similares, contribuyendo a la mejora de políticas de acompañamiento, impulsando cambios a favor de la calidad educativa y promoviendo la renovación de los espacios de enseñanza de manera personalizada en torno al perfil del alumno que la universidad gestiona.
The final version of this paper was published in BJOG 2015; 122(10):1284-93 with the title: Methods of classification for women undergoing induction of labour: a systematic review and novel classification

1 The final version of this paper was published in BJOG 2015; 122(10):1284-93 with the title: Methods of classification for women undergoing induction of labour: a systematic review and novel classification system. Nippita TA, Khambalia AZ, Seeho SK, Trevena JA, Patterson JA, Ford JB, Morris JM, Roberts CL. At the request of the publisher, this final published version also incorporated another paper entitled: Methods of classification for women undergoing induction of labour: A systematic review. Nippita TA, Khambalia AZ, Seeho S, Morris JM, Roberts CL.
Molecular Mechanism of Pathogenesis and Treatment Strategies for AL Amyloidosis

In amyloid light-chain (AL) amyloidosis, small B-cell clones (mostly plasma cell clones) present in the bone marrow proliferate and secrete unstable monoclonal free light chains (FLCs), which form amyloid fibrils that deposit in the interstitial tissue, resulting in organ injury and dysfunction. AL amyloidosis progresses much faster than other types of amyloidosis, with a slight delay in diagnosis leading to a marked exacerbation of cardiomyopathy. In some cases, the resulting heart failure is so severe that chemotherapy cannot be administered, and death sometimes occurs within a few months. To date, many clinical studies have focused on therapeutics, especially chemotherapy, to treat this disease. Because it is necessary to promptly lower FLC, the causative protein of amyloid, to achieve a hematological response, various anticancer agents targeting neoplastic plasma cells are used for the treatment of this disease. In addition, many basic studies using human specimens to elucidate the pathophysiology of AL have been conducted. Gene mutations associated with AL, the characteristics of amyloidogenic LC, and the structural specificity of amyloid fibrils have been clarified. Regarding the mechanism of cellular and tissue damage, the mass effect due to amyloid deposition, as well as the toxicity of pre-fibrillar LC, is gradually being elucidated. This review outlines the pathogenesis and treatment strategies for AL amyloidosis with respect to its molecular mechanisms.
From Making Automated Decision Making Visible to Mapping the Unknowable Human: Counter-Mapping Automated Decision Making in Social Services in Australia

Automated decision-making (ADM) technologies, like artificial intelligence and machine learning, are increasingly being used by governments. Researchers have attempted to map the deployment of these technologies. However, mapping is an inherently political act, reinforcing dominant discourses and imaginings of technological futures. In this article, I engage with critical cartography to outline the potential of counter-mapping for researching automation in decision making, with the purpose of mapping, to quote from Hodgson and Schroeder in 2002, “against dominant power structures, to further seemingly progressive goals. ” Drawing on the case of ADM in Australian social services, I reflexively account for how counter-mapping can provide a method for moving beyond dominant discourses of efficiency, cost cutting, and industriousness, to allow the alternative voices of service users’ experiences of ADM to be heard. I argue that future ADM mapping needs to focus on making visible those who are subject to the decisions of automated systems, but are usually made unknowable by the over-confident calculability of dominant ADM discourses.
An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants : APG

Recommended citation: APG III (2009). This paper was compiled by Birgitta Bremer, Kåre Bremer, Mark W. Chase, Michael F. Fay, James L. Reveal, Douglas E. Soltis, Pamela S. Soltis and Peter F. Stevens, who were equally responsible and listed here in alphabetical order only, with contributions from Arne A. Anderberg, Michael J. Moore, Richard G. Olmstead, Paula J. Rudall, Kenneth J. Sytsma, David C. Tank, Kenneth Wurdack, Jenny Q. -Y. Xiang and Sue Zmarzty (in alphabetical order). Addresses: B. Bremer, The Bergius Foundation at the Royal Swedish Academy of Sciences, PO Box 50017, SE-104 05 Stockholm, Sweden; K. Bremer, Vice Chancellor, Stockholm University, SE-106 91 Stockholm, Sweden; M. W. Chase, M. F. Fay, Jodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3DS, UK; J. L. Reveal, L.H. Bailey Hortorium, Department of Plant Biology, 412 Mann Building, Cornell University, Ithaca, NY 14853-4301, USA; D. E. Soltis, Department of Biology, University of Florida, Gainesville, Florida 32611–8525, USA; P. S. Soltis, Florida Museum of Natural History, University of Florida, Gainesville, Florida, 32611–7800, USA; and P. F. Stevens, Department of Biology, University of Missouri-St. Louis and Missouri Botanical Garden, PO Box 299, St. Louis, Missouri 63166–0299, USA
Provision of Local Food-Based Formula Using Pila Ampullacea, Tempeh, and Moringa Oleifera Leaves to the Acceptability and Nutrition Intake in Hemodialysis Patients

Background: One of the actions that can be taken to overcome malnutrition in hemodialysis is to improve nutrient intake. It is necessary to provide local food-based formula using Pila ampullacea, tempeh with local soybean, and Moringa oleifera leaves for hemodialysis patients.Objective: To analyze the effect of local food-based formula using Pila ampullacea, tempeh, and Moringa oleifera leaves to the acceptability and nutrition intake in hemodialysis patients.Materials and Methods: This study was carried out in Dr. Sardjito Hospital, Yogyakarta, Indonesia from February to March 2020. Subjects were 54 maintenance hemodialysis patients who met the criteria of study. The independent variable was the provision of local food-based formula, while the dependent variable were the acceptability and nutrition intake.Results: As many as 42.59% of subjects were able to consume all the formula given for three days and 50% of subjects have good acceptance of the local food-based formula. The effect of formula intake to the total intake of energy, carbohydrates, fiber, water, calcium, phosphorus, iron showed p-value <0.05, but p-value ≥0.05 for protein, fat, sodium, and potassium. The effect of the non-formula intake to the total intake for all nutrients showed p-value <0.05. Conclusion: Most of the subjects have a good acceptance of the local food-based formula. Formula intake affects total intake of energy, carbohydrates, fiber, water, calcium, phosphorus, and iron, but does not affect total intake of protein, fat, sodium, and potassium. The total intake for all nutrients was affected by the subject's intake of non-formula sources.
Utilizing Model Structure for Efficient Simultaneous Localization and Mapping for a UAV Application

This contribution aims at unifying two recent trends in applied particle ltering (pf). The rst trend is the major impact in simultaneous localization and mapping (slam) applications, utilizing the Fastslam algorithm. The second one is the implications of the marginalized particle lter (mpf) or the Rao-Blackwellized particle lter (rbpf) in positioning and tracking applications. Using the standard Fastslam algorithm, only low-dimensional vehicle models are computationally feasible. In this work, an algorithm is introduced which merges Fastslam and mpf, and the result is an algorithm for slam applications, where state vectors of higher dimensions can be used. Results using experimental data from a uav (helicopter) are presented. The algorithm fuses measurements from on-board inertial sensors (accelerometer and gyro) and vision in order to solve the slam problem, i.e., enable navigation over a long period of time.
An Insight into the Impact of Thermal Process on Dissolution Profile and Physical Characteristics of Theophylline Tablets Made through 3D Printing Compared to Conventional Methods

The dissolution profile is of great importance in drug delivery and is affected by the manufacturing method. Thus, it is important to study the influence of the thermal process on drug release in emerging technologies such as 3D printing-fused deposition modeling (FDM). For this purpose, the characteristics of 3D printed tablets were compared to those of tablets prepared by other thermal methods such as hot-melt extrusion (HME) and non-thermal methods such as physical mixture (PM). Theophylline was used as a drug model and blends of ethyl cellulose (EC) and hydroxypropyl cellulose (HPC) were used as a matrix former. The solid state of the drug in all formulations was investigated by differential scanning calorimetry, X-ray powder diffraction, and Fourier-transformed infrared spectroscopy. All studied tablets had the same weight and surface area/volume (SA/V). Dissolution data showed that, for some formulations, printed tablets interestingly had a faster release profile despite having the highest hardness values (>550 N) compared to HME and PM tablets. Porosity investigations showed that 100% infill printed tablets had the highest porosity (~20%) compared to HME (<10%) and PM tablets (≤11%). True density records were the lowest in printed tablets (~1.22 g/m3) compared to tablets made from both HME and PM methods (~1.26 g/m3), reflecting the possible increase in polymer specific volume while printing. This increase in the volume of polymer network may accelerate water and drug diffusion from/within the matrix. Thus, it is a misconception that the 3D printing process will always retard drug release based on increased tablet hardness. Hardness, porosity, density, solid-state of the drug, SA/V, weight, and formulation components are all factors contributing to the release profile where the total balance can either slow down or accelerate the release profile.
O Programa de Humanização no Pré-natal e Nascimento do Ministério da Saúde no Brasil: resultados iniciais

This article evaluates the implementation of the Brazilian Ministry of Health's Program for Humanization of Prenatal and Childbirth Care using data generated by the SISPRENATAL/DATASUS database from the Unified National Health System. From its beginning in June 2000 until December 2002, 3,983 municipalities joined the Program, and 71% of participating municipalities (3,183) reported their health care activities, constituting a database with 720,871 women. Nearly 20% of the women had six or more prenatal visits, and approximately half of them had the postpartum follow-up visit and required lab tests performed in 2002. In addition, 41% of the women had been vaccinated against tetanus. The number of HIV antibody tests was twice that of syphilis during the two-year period. Only a small percentage of women (2% in 2001 and 5% in 2002) received the entire set of prenatal and childbirth care services. The low percentages attest to the need for permanent evaluation aimed at improving quality of care and guaranteeing both high-quality maternal and perinatal results and the inalienable right of women to safe care and well-being during pregnancy and delivery.
Cognitive Impairment in Type 2 Diabetes Mellitus: An Observational Study from Lower Middle-Income Country

Sir, Diabetes mellitus is a major cause of morbidity and mortality all around the globe with approximately 463 million adults living with it worldwide. [1] A link between type 2 diabetes mellitus (T2DM) and mild cognitive impairment (CI), vascular dementia and Alzheimer’s disease has been observed in studies. [2,3] Timely and early identification of those who have mild CI will help recognize individuals who have a chance to progress further to CI. [4]
Corpo e sexualidade na gravidez

Estudo etnografico que teve como objetivo compreender como as gestantes vivenciam os processos fisiologicos do seu corpo durante a gestacao e a sua repercussao na sexualidade. A pesquisa envolveu sete mulheres residentes em bairro popular de Sao Paulo. Na coleta de dados, utilizou-se observacao participante e entrevista com questoes norteadoras. Os dados foram apresentados na forma de narrativa e posteriormente organizados nas categorias: Percebendo as transformacoes corporais; Convivendo com as mudancas no corpo; Sentimentos e sensacoes na vida sexual durante a gestacao e imaginando o corpo e a sexualidade apos a gestacao. As mulheres referiram-se as transformacoes do corpo como desconfortos e expressaram a preocupacao de que fossem definitivas. Expressaram o desejo de que, apos o parto, o corpo volte a ser como era e que volte a sentir desejo sexual. O reconhecimento destes fatos constitui-se numa ferramenta primordial na adequacao das praticas profissionais.