Miracle-dz/UniFAR-FTUs huggingface dataset:
KSHV/HHV8-Associated Lymphoproliferative Disorders: Lessons Learnt from People Living with HIV

In 1992, Kaposi sarcoma herpesvirus (KSHV/HHV8) was discovered and identified as the causative agent for Kaposi sarcoma. Subsequently, the presence of this virus has been detected in a number of lymphoproliferative disorders in people living with HIV (PLWH), including: KSHV-associated multicentric Castleman disease, primary effusion lymphoma, KSHV-positive diffuse large B-cell lymphoma, and germinotropic lymphoproliferative disorder. Each of these rare entities has subsequently been diagnosed in HIV-negative individuals. The recognition of some of these KSHV/HHV8-associated lymphoproliferative disorders has led to their inclusion in the WHO classification of lymphomas in 2008 and the revision of 2016; however, further revision is under way to update the classification. The relatively recent recognition of these lymphoproliferative disorders and their low incidence, particularly in the HIV-negative population, means that there is little published evidence and consensus on their clinical features and management. The publication of a new WHO classification of lymphomas should yield diagnostic clarity, providing an impetus for retrospective case series and prospective clinical trials in these KSHV/HHV8-associated lymphoproliferative disorders.
Spirituality in a Doctor’s Practice: What Are the Issues?

Introduction: It is becoming increasingly important to address the spiritual dimension in the integral care of the people in order to adequately assist them in the processes of their illness and healing. Considering the spiritual dimension has an ethical basis because it attends to the values and spiritual needs of the person in clinical decision-making, as well as helping them cope with their illness. Doctors, although sensitive to this fact, approach spiritual care in clinical practice with little rigour due to certain facts, factors, and boundaries that are assessed in this review. Objective: To find out how doctors approach the spiritual dimension, describing its characteristics, the factors that influence it, and the limitations they encounter. Methodology: We conducted a review of the scientific literature to date in the PubMed, Scopus, and CINAHL databases of randomised and non-randomised controlled trials, observational studies, and qualitative studies written in Spanish, English, and Portuguese on the spiritual approach adopted by doctors in clinical practice. This review consisted of several phases: (i) the exclusion of duplicate records; (ii) the reading of titles and abstracts; (iii) the assessment of full articles and their methodological quality using the guidelines of the international Equator Network. Results: A total of 1414 publications were identified in the search, 373 of which were excluded for being off-topic or repeated in databases. Of the remaining 1041, 962 were excluded because they did not meet the inclusion criteria. After initial screening, 79 articles were selected, from which 17 were collected after reading the full text. A total of 8 studies were eligible for inclusion. There were three qualitative studies and five cross-sectional observational studies with sufficient methodological quality. The results showed the perspectives and principal characteristics identified by doctors in their approach to the spiritual dimension, with lack of training, a lack of time, and fear in addressing this dimension in the clinic the main findings. Conclusions: Although more and more scientific research is demonstrating the benefits of spiritual care in clinical practice and physicians are aware of it, efforts are needed to achieve true holistic care in which specific training in spiritual care plays a key role.
Sex Differences in Hospital-Acquired Pneumonia among Patients with Type 2 Diabetes Mellitus Patients: Retrospective Cohort Study using Hospital Discharge Data in Spain (2016–2019)

(1) Background: To analyze the incidence, clinical characteristics, use of procedures, and in-hospital outcomes in patients who developed pneumonia during their hospital admission according to sex and to the presence of type 2 diabetes mellitus (T2DM). (2) Methods: Retrospective cohort study using data from the Spanish National Hospital Discharge Database. Hospital-acquired pneumonia (HAP) was classed as non-ventilator HAP and ventilator-associated pneumonia (VAP). Separate analyses were performed for men and women with and without T2DM. Population subgroups were compared using propensity score matching. (3) Results: HAP was identified in 38,814 patients (24.07% with T2DM). The adjusted incidence of HAP was higher in patients with T2DM (both sexes) (IRR 1.28; 95% CI 1.25–1.31). The incidence of HAP was higher in men with T2DM than in women with T2DM (adjusted-IR 1.47; 95% CI 1.41–1.53). The incidence of HAP among T2DM patients increased over time. In-hospital mortality (IHM) was around 28% irrespective of T2DM status and sex. After adjusting for confounders and sex, VAP was associated to higher IHM among patients with T2DM (OR 2.09; 95% CI 1.7–2.57). (4) Conclusions: T2DM is associated with a higher risk of HAP, whose incidence increased over time. Men with T2DM have an almost 50% higher risk of HAP than women with T2DM. The probability of dying in the hospital was not associated with sex or T2DM.
Research on Formulating an Electricity Sales Price Basic Theory Based on Fair Burden Coefficient

With the improving of the electricity users requirements for power quality, traditional electricity pricing model cant meet the needs of users. This thesis first carries on the analysis of electricity cost factors, and then establishes the cost model of electricity generation companies and electricity supply companies. The formulation of electricity price should consider electricity users, electricity generation companies, electricity supply companies and state taxes. And each factor should bear responsibility of electricity price's formulation based on social fair burden coefficient. So the thesis establishes an electricity price's model based on above theory.
Ecologically Sustainable Development and the Better Cities Program

As part of the appraisal of the Building Better Cities Program, the Commonwealth conducted a multipurpose and retrospective evaluation of the 26 project program, including its contribution to the achievement of Ecologically Sustainable Development (ESD). The program included projects as diverse as urban consolidation, public transport, waste treatment, housing and inner urban redevelopment. This article reports the results of that evaluation. The article defines substantive and decision-making process criteria for ESD evaluation, based largely on the National Strategy for ESD, and applies them to each of the projects. Some of the projects contribute directly to ESD objectives for example to achieve energy use efficiency through encouraging public transport and increasing urban densities or to reduce environmental pollution by better waste management. No project was judged to be negative in an ESD sense although for many of the projects the links between expected project outcomes and ESD are much more tenuous, such as “improving the quality of life”, “improving urban amenity” or enhancing the “sense of community”. All projects made a commitment to improved integration between planning agencies involved in urban management and to involving the community which are important ESD objectives.
The demand for STEM graduates : some benchmark projections

New research jointly commissioned by CIHE with DIUS and the Engineering Technology Board (ETB) from the University of Warwick on benchmark projections about business requirements for STEM skills. It reveals that, based on past employment figures, demand for STEM graduates and postgraduates will grow significantly faster than the average for all subject groups.
Hot Topic Discovery across Social Networks Based on Improved LDA Model

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.
The Lowry Model Heritage

Abstract The Lowry model constituted a breakthrough of a particularly intractable conceptual barrier. Notwithstanding its attractive features, including the promise of meaningful operationality, the model has been implemented in only a few domestic applications; its adapters abroad have had more success. In this process, the model has gradually been transformed to more satisfactorily meet the requirements of the regional and transportation planning agencies that depend on allocation modeling. As newly developing conceptual embellishments are made operational, the Lowry model should become an instrument that will enlarge our knowledge of the metropolis and lay a solid foundation for the next generation of models.
Classification of Typical Tree Species in Laser Point Cloud Based on Deep Learning

We propose the Point Cloud Tree Species Classification Network (PCTSCN) to overcome challenges in classifying tree species from laser data with deep learning methods. The network is mainly composed of two parts: a sampling component in the early stage and a feature extraction component in the later stage. We used geometric sampling to extract regions with local features from the tree contours since these tend to be species-specific. Then we used an improved Farthest Point Sampling method to extract the features from a global perspective. We input the intensity of the tree point cloud as a dimensional feature and spatial information into the neural network and mapped it to higher dimensions for feature extraction. We used the data obtained by Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle Laser Scanning (UAVLS) to conduct tree species classification experiments of white birch and larch. The experimental results showed that in both the TLS and UAVLS datasets, the input tree point cloud density and the highest feature dimensionality of the mapping had an impact on the classification accuracy of the tree species. When the single tree sample obtained by TLS consisted of 1024 points and the highest dimension of the network mapping was 512, the classification accuracy of the trained model reached 96%. For the individual tree samples obtained by UAVLS, which consisted of 2048 points and had the highest dimension of the network mapping of 1024, the classification accuracy of the trained model reached 92%. TLS data tree species classification accuracy of PCTSCN was improved by 2–9% compared with other models using the same point density, amount of data and highest feature dimension. The classification accuracy of tree species obtained by UAVLS was up to 8% higher. We propose PCTSCN to provide a new strategy for the intelligent classification of forest tree species.
Simplified analytical quasi-transparent solution for minority carrier transport in non-uniformly doped quasi-neutral semiconductor regions

A simple analytical solution, which retains a general dependence of transport parameters on impurity concentration, is presented for minority carrier transport in nonuniformly doped semiconductor quasineutral regions. The new solution exhibits improved accuracy for high surface recombination velocities over all previous solutions of the same degree of analytic complexity which retain a general dependence of the transport parameters on impurity concentration, while retaining the same degree of accuracy for low surface recombination velocities as the most accurate of these previous solutions. The proposed solution exhibits accuracy comparable to significantly more complex third order expressions which are derived by three iterations using a systematic approach.
Screening for Chagas Disease during Pregnancy in the United States—A Literature Review

Obstetrician-gynecologists in the United States have little clinical experience with the epidemiology, pathophysiology, diagnosis, and treatment of Chagas disease. The number of US parturients born in Central and South America has continued to increase over the last 20 years, making US obstetricians more and more likely to care for Chagas-infected mothers who may never be identified until dealing with long-term consequences of the disease. A literature search demonstrates that few US obstetric care providers recognize the risk of vertical transmission for the neonate and the missed opportunity of infant treatment to decrease disease prevalence. Most women will be asymptomatic during pregnancy, as will their neonates, making routine laboratory screening a necessity for the identification of at-risk neonates. While the benefits of treating asymptomatic women identified in pregnancy are not as clear as the benefits for the infants, future health screenings for evidence of the progression of Chagas disease may be beneficial to these families. The literature suggests that screening for Chagas in pregnancy in the US can be done in a cost-effective way. When viewed through an equity lens, this condition disproportionately affects families of lower socioeconomic means. Improved education of healthcare providers and appropriate resources for diagnosis and treatment can improve this disparity in health outcomes.
Anti-Irritant Strategy against Retinol Based on the Genetic Analysis of Korean Population: A Genetically Guided Top–Down Approach

Retinol, one of the most powerful cosmetic materials for anti-aging supported by a solid scientific background, exhibits a wide range of type and severity of irritation while showing limited user compliance. The lack of understanding of the mechanism of retinol-induced irritation has been the main hurdle in the development of anti-irritation strategies. Here, we identified 30 genetic markers related to the susceptibility to retinol-induced irritation in the Korean population. Based on the genetic analysis, a novel formula against retinol-induced irritation was developed, which mitigated the molecular pathogenesis—as indicated by the genetic markers—of the retinol-induced irritation. In human tests, this formula effectively decreased retinol-induced irritation. Furthermore, a polygenic risk score model for irritation was constructed and validated. Our comprehensive approach for the analysis of retinol-induced irritation will not only aid the development of anti-irritation strategies to ensure higher user compliance but also contribute to improving the current knowledge about the biological effects of retinoids.
Imagining Sustainability: Methodological building blocks for transition scenarios

textabstractThis book reports on the explorative search of a new scenario method for the development of transition scenarios. This type of scenario has already been practiced on an experimental basis, but as yet there was no solid conceptual and methodological basis. Nevertheless, this type of scenario development is becoming increasingly important in light of reaching future sustainability. The rationale behind transition scenarios is that we are facing persistent societal problems of high complexity and uncertainty. For anticipating these developments and influencing future sustainability, we have to be aware of the need for a more radical type of change process that differs significantly from the trend-based ones envisioned in the more conventional scenario approaches. This is because sustainability suggests that prospects for disruption, discontinuities, surprises and shocks are increasingly in evidence. Subsequently, the claim is made that new and better scenario approaches need to be developed that can merge in with this new perspective on foresight. Against the background of these developments, this book introduces a new scenario method (TRANSCE) for visualizing transformative change patterns towards sustainability. TRANSCE builds on existing scenario methods but adds new elements. Through this integration it provides a new concept for scientific research and a method for scenario practice in the context of sustainability. By taking discontinuities as a starting point, TRANSCE offers a generic method to create and visualize desirable and inspiring images of sustainable future systems accompanied by guiding pathways of structural change. With this method we aspire to combine the best of several worlds and to develop scenarios that possess and balance multiple features: long-term and short-term, realistic and desirable, process and content and explorative and normative. Contrary to the conventional scenarios, the design objective of TRANSCE does not lie in being plausible or realistic. Instead, it lies in trying to inform! and inspire sustainability-oriented short-term action by generating a sense of urgency and fuelling a mindset change. This book offers insight into five years of development of theory and practice of transition scenarios as a new type of scenario method in sustainability-oriented foresight activities. It is highly relevant for science and policy related to transformative change and sustainable development.
Transmission of the effect of Mercurius corrosivus 30 CH on ï¡-amylase in cell free medium through water.

Abstract Background Mercurius corrosivus 30CH promoted ï¡-amylase activity in a cell free medium invitro. ï¡-amylase causes hydrolysis of starch. The activity of the enzyme is measured in terms of the amount of maltose liberated due to breakdown of starch. In a number of experimental studies it has been demonstrated that the effect of homeopathic potency would be transmitted from one plant to another through water. Here one leaf of a pair of plants was dipped in water in a beaker. The two beakers were connected by a water filled polythene tube. The effect of treatment of one plant with homeopathic potency would be observed in the directly treated plant as well as the connected plant. Two groups of toads were kept in water in two different containers. The two containers were connected by a water filled polythene tube. The effect of treatment of one group of toads with homeopathic potency would be observed in both the directly treated group as well as the connected group. Objectives The purpose of the present study is to see whether the effect of Mercurius corrosivus 30 CH on ï¡-amylase in one test tube would be transmitted to another test tube connected with the former by water filled capillary tube. Methods Mercurius corrosivus 30 CH was diluted with distilled water (1:100). Two hard glass test tubes each containing ï¡-amylase were connected with a water filled capillary tube while one test tube received Mercurius corrosivus 30CH solution, the other only the control solution. The control solution consisted of equal amount of 90% ethanol diluted with water (1:100). There were two more test tubes, one containing same amount of distilled water instead of Mercurius corrosivus 30 CH solution and the other test tube the same amount of 90% ethanol (1:100) as in the control set. After 10 mins starch solution in Sodium acetate buffer was added to each test tube. The enzyme in each test tube was allowed to react with starch for 15 mins and then it was stopped by DNSA (Dinitro salicylic acid) solution . The activity of ï¡-amylase was measured by standard biochemical process. The breakdown product maltose in each test tube was quantified by a standard curve prepared by measuring the optical density of the maltose solution at 560 nm in a UV-VIS Spectrophotometer. This experiment was repeated 20 times. Results Activity of ï¡-amylase was expressed in terms of the amount of maltose liberated from breakdown of starch with standard errors in 15mins at a fixed temperature. The data were analyzed statistically using t-test. Mercurius corrosivus 30 CH enhanced the enzyme activity significantly in the directly treated test tube as well as the connected one (p
Are there thermodynamic variables for networked sensor systems?

Discussed is a number of mechanisms for complex systems that can lead to unexpected behavior. All are related to graph theoretic models of interactions. In addition, the theory of random interval graphs can be applied to the characterization of simultaneously occurring variable finite length events. The theory is sufficiently general to provide simple parametric description of the natural relationships between a system's task processing rate and associated decision and communication rates required to control it. One can estimate conditions which induce temporal decoupling and provide general insight into control methodologies which can be used to avoid decoupling. The usage of intervals to characterize resource allocation problems has widespread applications to processing and decision making algorithms which consumed finite bounded time intervals. Finally, various aspects of track quality are discussed as a measure of the strength of interaction.
Methane gas emissions from savanna fires: what analysis of local burning regimes in a working West African landscape tell us

Abstract. Savanna fires contribute significantly to greenhouse gas emissions. While it is recognized that these fires play a critical role in the global methane cycle, there are too few accurate estimates of emissions from West Africa, the continent's most active fire region. Most estimates of methane emissions contain high levels of uncertainty as they are based on generalizations of diverse landscapes that are burned by complex fire regimes. To improve estimates we used an approach grounded in the burning practices of people who set fires to working landscapes. We collected and analyzed smoke samples for 36 experimental fires using a canister method for the early dry season (EDS) and mid-dry season (MDS). We also collected data for savanna type, grass type, biomass composition and amount consumed, scorch height, speed of fire front, fire type, and ambient air conditions for two sites in Mali. We report values for fire intensity, combustion completeness, patchiness, modified combustion efficiency (MCE), emission factor (EF) and methane emission density. Our study found that mean methane EFs ranged from 3.83 g kg−1 in the EDS to 3.18 g kg−1 in the MDS, but the small sample did not provide enough power for this effect to be significant. We found head fires had nearly double the CH4 EF of backfires (5.12 g kg−1 to 2.74), a significant difference. Byram's fire intensity was a significant driver of CH4 EF but with weak effect. Methane emission density increased marginally from 0.839 g m−2 in the EDS to 0.875 g m−2 in the MDS, a difference that was not significant. Head fires, however, had much higher emission densities than backfires – 1.203 vs. 0.708 g m−2 – respectively, a significant difference. We suggest the reason for the higher methane emissions from head fires, which have higher intensity, is the longer flame lengths that burn green leaves on trees, releasing methane. We conclude that policies aimed at shifting the burning regime earlier to reduce methane emissions will not have the desired effects, especially if fire type is not considered. Future research should consider the state and amount of leafy biomass combusted in savanna fires.