Miracle-dz/UniFAR-FTUs huggingface dataset:
"Outcomes of Fractured Neck of Femur Managed with Arthroplasty at Flinders Medical Centre: A Breakdown of Demographics using Early Results of a Local Revision Registry"

Trauma comprises a significant proportion of hip surgery at our local hospital, Flinders Medical Centre (FMC). With regards to neck of femur fractures (#NOF), many cases are managed with an internal fixation approach rather than arthroplasty. National data suggest that hip arthroplasties (THAs) are increasingly being used in preference for hemiarthroplasties (HAs) for intra-capsular #NOF to improve patients function post-op. The aim of this retrospective cohort study was to continue building a robust prospective local Revision Registry in order to continue evaluate trends in local data regarding the aetiology and rates of revision hip arthroplasties at Flinders Medical Centre, where the primary arthroplasty was undertaken secondary to trauma. Data was compiled from our own documented records cross-matched with national records. Patients were included if their primary surgery was a HA or THA in the setting of #NOF, who had revision surgeries that were performed within FMC during the time period of 2016-2019. Data were evaluated descriptively with basic quantitative analyses. 455 post-traumatic arthroplasty surgeries were performed within the time frame, 78.9% of which has at our centre. Of 359 HAs performed, five were revised; of 96 THAs performed, two were revised. Revision of THAs occurred earlier, with an average of 2.17 years compared to 2.62 years. Revision of THAs occurred in younger patients, with average age at revision of THAs of 62 compared to 85.5 years. Revision of hemiarthroplasties was mostly performed due to instability of prosthetic components and patient factors, whilst revisions of THAs may have been related to surgical error. Revision of THAs seems less frequent and more related to surgical error and affects younger patients. The development of a specialised Arthroplasty service for THA in trauma may lead to an increased use of THA which is common in other centres and reduce surgical errors. Long term follow-up in the form of a local registry is ongoing and early data shows it to be a beneficial resource to guide local future management principles.
The Permission Management Of Access And Control Based On Role In Monitoring Platform

according to the multi-user characteristics in monitoring platform, the article uses the RBAC privilege management model being popular at present, which tell about the design and implementation of permission management, and which explain the system relating, demand analysis, the design and realization of the system. at the same time, it shows the related realization page. The whole design is used by adopting the technology of ASP.NET based on MVC mode, which is developed by C# language. According to the function of each staff, the permission management can allocate the permission so that the whole platform can work safely and stably.
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning

Significant progress has been made by joint entity and relation extraction methods, which directly generate the relation triplets and mitigate the issue of overlapping relations. However, previous models generate the entity-relation triplets solely from input sentences. Such information is insufficient to support the modeling of interactive information between entities and relations. In this paper, we define the features that provide mutual supports for entity and relation detection but can only be accessed at training time as privileged features for relation extraction, and devise two teacher models to exploit privileged entity and relation features, respectively. Meanwhile, we propose a novel contrastive student-teacher learning framework for joint extraction of entities and relations (STER), where a student network is encouraged to amalgamate privileged knowledge from two expert teacher networks that additionally utilize the privileged features, based on contrastive learning. Experiment results on three benchmark datasets (i.e., ADE, SciERC and CoNLL04) demonstrate that STER has robust superiority over competitors and sets state-of-the-art. For reproducibility, we release the data and source code at: https://github.com/siat-nlp/STER.
Pollution characteristics and risk assessment of heavy metals in the water and surface sediments of Wulungu Lake, Xinjiang China

ABSTRACT Wulungu Lake is the second largest lake and the second largest fishery base in Xinjiang, but there are few studies on heavy metal pollution in water environment. In order to explore the characteristics and sources of heavy metal pollution in the water environment of Wulungu Lake, the distribution characteristics, ecological risks and pollution sources of 8 heavy metals (Cr, Cu, Cd, Zn, Ni, Pb, Hg and As) in water and sediments of 13 sampling points of Wulungu Lake were analyzed. Geological accumulation index method and potential ecological hazard index method show that Hg has a strong potential ecological risk, which leads to a high potential ecological risk in Wulungu Lake. The water quality of Wulungu Lake is good, but we need to pay attention to the health risk of as. Multivariate statistical analysis shows that Cu, Cd, Zn, Ni and Pb in the water body of Wulungu Lake are affected by the discharge of mining or enterprise wastewater. Hg and Cr may come from the use of fertilizer in farmland. Cr, Cu, Zn, Ni and As in surface sediments are mainly affected by regional geochemical characteristics, while Cd, Pb and Hg are also affected by human activities. The distribution of heavy metals in sediments is different from that in water, which should also be affected by the hydrological conditions of lakes.
The Influence of Socioeconomic Status on Esophageal Cancer in Taiwan: A Population-Based Study

Background: Esophageal cancer has extreme worldwide demographic and histologic variations in occurrence; thus, understanding the pathogenesis of esophageal cancer must be region- or country-based. We examined the incidence and tumor stage at diagnosis of esophageal cancer in relation to patients’ socioeconomic status (SES) in Taiwan. Method: This retrospective cohort study used data from Taiwan’s National Health Insurance Research Database and Taiwan Cancer Registry collected between January 2008 and December 2014. The records of 40- to 79-year-old patients diagnosed with esophageal cancer were retrieved. The distribution of the crude incidence rates of esophageal cancer by occupation and income variables was studied retrospectively. Cox proportional hazard model was used to adjust for potential confounders and compare the esophageal cancer incidence among four independent variables: age, gender, occupation, and income. Logistic regression analysis was applied to find the power of the independent variables on the odds ratio of late-stage presentation. Results: The analysis included 7763 subjects. Esophageal squamous cell carcinoma (ESCC) was the predominant histological type (96.6%) and 94.4% of patients were male. The peak affected age for ESCC was 50 to 59 years, whereas the risk of esophageal adenocarcinoma increased progressively with age. The risk of ESCC was significantly unfavorable for the most disadvantaged group, either in occupation or income, while in EAC, risk was unrelated to either factor. The stage of cancer at diagnosis was lower in the highest income groups than in the other two groups. Conclusion: Significant SES disparities in esophageal cancer incidence, based on occupation and income, are present in Taiwan. Low SES populations have a higher percentage of late-stage diagnosis. Resolution of the increasing socioeconomic disparities and narrowing the gaps in health inequities in Taiwan are needed.
Investigation of the certification and operational procedures for turboprop aircraft in icing

Abstract A study was conducted to identify possible improvements to the current certification and operational procedures for turboprop powered aircraft operating in icing conditions. Information was gathered through a series of interviews with airframe and engine manufacturers and also, operators and aircrews in Europe and Canada. The significant issues raised during the interviews are discussed, and a number of recommendations are made for future research and development activities in die area of aircraft icing. These recommendations identify the need for improved ice protection methods, enhanced thermodynamic models in ice prediction computer codes, and development of an ice prediction probe to warn aircrew that they will soon be entering icing conditions. Recommendations also include improvements to pilot training, and the need to make weather forecasts of icing more accurate and specific.
Value creation from analytics with limited data: a case study on the retailing of durable consumer goods

ABSTRACT Companies are pinning high hopes on competitive advantages through data analytics. So far, value gains through analytics have been demonstrated for IT-heavy and data-rich business areas. Yet, research has paid little attention to value creation through data analytics in the plethora of companies with limited data (i.e. having transactions in the hundreds and attributes in the tens). Building on the literature of big data value creation and the resource-based view, we carried out an in-depth analytics case study with a retailer of renewable energy systems. Firms in this business area operate with expensive but few sales, so their available data are notoriously limited. Our findings demonstrate that data analytics capabilities and value creation mechanisms (democratise, contextualise, experiment with data, and execute data insights) are also effective in situations with limited data. Practice and research should therefore put not only emphasis on the volume and the variety of data but also on contextual factors related to managers (e.g. clear strategy, vision, leadership) and all employees (e.g. openness for agile working mode, data awareness).
Uninspired by Old White Guys: The Mobilizing Factor of Younger, More Diverse Candidates for Gen Z Women

Abstract American political activism has surged recently among young citizens, particularly among women and people of color. At the same time, record numbers of women and minority candidates have been running for office. Does seeing more diverse candidates in terms of age, gender, and race propel more interest in political engagement among Generation Z, particularly women? Using a survey experiment embedded in a nationally representative survey of Generation Z citizens, we present respondents with Democratic politicians who vary based on these three criteria. Women who identify strongly with their gender express greater political engagement when presented with any candidate who does not fit the stereotypical image of a politician (older, white, male). They are spurred not only by role models who represent them descriptively, but by all politicians belonging to historically marginalized groups. These effects, which are not specific to just Democratic women, provide insights that can inform engagement efforts targeting younger Americans.
Noninvasive Oxygenation in Patients with Acute Respiratory Failure: Current Perspectives

Purpose of Review High-flow nasal oxygen and noninvasive ventilation are two alternative strategies to standard oxygen in the management of acute respiratory failure. Discussion Although high-flow nasal oxygen has gained major popularity in ICUs due to its simplicity of application, good comfort for patients, efficiency in improving oxygenation and promising results in patients with acute hypoxemic respiratory failure, further large clinical trials are needed to confirm its superiority over standard oxygen. Non-invasive ventilation may have deleterious effects, especially in patients exerting strong inspiratory efforts, and no current recommendations support its use in this setting. Protective non-invasive ventilation using higher levels of positive-end expiratory pressure, more prolonged sessions and other interfaces such as the helmet may have beneficial physiological effects leading to it being proposed as alternative to high-flow nasal oxygen in acute hypoxemic respiratory failure. By contrast, non-invasive ventilation is the first-line strategy of oxygenation in patients with acute exacerbation of chronic lung disease, while high-flow nasal oxygen could be an alternative to non-invasive ventilation after partial reversal of respiratory acidosis. Questions remain about the target populations and non-invasive oxygen strategy representing the best alternative to standard oxygen in acute hypoxemic respiratory failure. As concerns acute on-chronic-respiratory failure, the place of high-flow nasal oxygen remains to be evaluated.
Subchondral insufficiency fractures of the femoral head: associated morphological findings, longitudinal evolution, and management strategies

Poster: "ECR 2015 / C-2400 / Subchondral insufficiency fractures of the femoral head: associated morphological findings, longitudinal evolution, and management strategies" by: "L. A. Hackney, M. H. Lee, G. Joseph, T. M. Link; San Francisco, CA/US"
Effects of probiotic supplementation on glucose metabolism and inflammatory biomarkers in pregnant women with gestational diabetes mellitus: an integrative review

Aims: This literature review aims to investigate the effect of probiotic supplementation on glucose metabolism and inflammatory biomarkers in pregnant women with gestational diabetes mellitus. Methods: Data were collected using the National Library of Medicine (Medline), Latin American & Caribbean Health Sciences Literature (Lilacs), Virtual Health Library (BVS) and Scientific Electronic Library Online (Scielo) databases. The following descriptors were used: “gestational diabetes”, “probiotic” and “inflammation”. Results: The main findings emphasized the improvement in fasting glucose and insulin resistance and a lesser impact on the improvement of inflammatory markers after probiotic supplementation in pregnant women diagnosed with gestational diabetes mellitus. Conclusions: The use of probiotics in pregnant women with gestational diabetes mellitus has shown positive actions to control glucose metabolism and proinflammatory factors, which may improve serum glucose levels, insulin sensitivity and inflammation.
Screencasts y las TIC para la revisión de prácticas de laboratorio en la Educación Superior = Screencasts and ICT for review of laboratory practices in Higher Education

The paper describes a teaching experience carried out among various laboratory groups of Engineering students in the subject Graphic Expression. The aim was to evaluate the students’ perception on reviewing the lab practices by means of Screencast format videos, the Poliformat Platform and e-mail. The results of the surveys helped us to create a teacher’s virtual technological feedback solution which, although gene ral, improved autonomous learning and gave students more flexibility in the use of their time. They also obtained a positive perception from using technological tools to obtain feedback for reviewing the practices.
Pedagogy and ePortfolios: purpose aligned to design (or the why and how)

Abstract While research surrounding ePortfolios abounds, few studies make explicit the pedagogical underpinnings of their use. Some suggest that the decision to use new technologies, like ePortfolios, is often made in ignorance of pedagogic evidence. Developed over the course of a two-year national study on the implementation of ePortfolios, this paper argues the importance of a considered approach to ePortfolio use; one that is premised on carefully linking the purpose and context to the type of portfolio. The paper explores the potential of ePortfolios as they align with four specific pillars of learning: learning to know, learning to do, learning to live together and learning to be. It discusses the pedagogic underpinnings – that is, the why – of ePortfolios including: skills and competencies; transformative potential; reflection; identity; active learning; employability; and assessment. The succeeding section provides recommendations for practical ePortfolio use – that is, the how – and an original framework linking ePortfolio purpose to design is proposed.
Integrative Analysis for Identification of Therapeutic Targets and Prognostic Signatures in Non-Small Cell Lung Cancer

Differential expressions of certain genes during tumorigenesis may serve to identify novel manageable targets in the clinic. In this work with an integrated bioinformatics approach, we analyzed public microarray datasets from Gene Expression Omnibus (GEO) to explore the key differentially expressed genes (DEGs) in non-small cell lung cancer (NSCLC). We identified a total of 984 common DEGs in 252 healthy and 254 NSCLC gene expression samples. The top 10 DEGs as a result of pathway enrichment and protein–protein interaction analysis were further investigated for their prognostic performances. Among these, we identified high expressions of CDC20, AURKA, CDK1, EZH2, and CDKN2A genes that were associated with significantly poorer overall survival in NSCLC patients. On the contrary, high mRNA expressions of CBL, FYN, LRKK2, and SOCS2 were associated with a significantly better prognosis. Furthermore, our drug target analysis for these hub genes suggests a potential use of Trichostatin A, Pracinostat, TGX-221, PHA-793887, AG-879, and IMD0354 antineoplastic agents to reverse the expression of these DEGs in NSCLC patients.
Dasatinib-Induced Bilateral Pleural Effusions

Fluid accumulation in the form of pleural effusions and ascites may be attributed to a single etiology. Diagnosis depends on a thorough clinical history as well as fluid analysis. We present the case of a 60-year-old man with chronic myeloid leukemia (CML) on dasatinib, recent right-sided ischemic stroke, alcohol-associated liver disease, cocaine and alcohol use disorders in early remission, and hypertension who presented with subacute-onset of bilateral pleural effusions and ascites. Pleural fluid analysis showed an exudative effusion, while ascitic fluid analysis showed a transudative collection. After an extensive workup, the bilateral effusions were attributed to dasatinib therapy, which was also suspected to play an unclear role in the worsening ascites. Although peripheral edema and pleural effusions are well-recognized and common side effects of tyrosine kinase inhibitors (TKIs), this case represents the first description of a patient presenting with bilateral TKI-induced pleural effusions as well as concomitant ascites of unclear origin.
Using Social Media to Detect Fake News Information Related to Product Marketing: The FakeAds Corpus

Nowadays, an increasing portion of our lives is spent interacting online through social media platforms, thanks to the widespread adoption of the latest technology and the proliferation of smartphones. Obtaining news from social media platforms is fast, easy, and less expensive compared with other traditional media platforms, e.g., television and newspapers. Therefore, social media is now being exploited to disseminate fake news and false information. This research aims to build the FakeAds corpus, which consists of tweets for product advertisements. The aim of the FakeAds corpus is to study the impact of fake news and false information in advertising and marketing materials for specific products and which types of products (i.e., cosmetics, health, fashion, or electronics) are targeted most on Twitter to draw the attention of consumers. The corpus is unique and novel, in terms of the very specific topic (i.e., the role of Twitter in disseminating fake news related to production promotion and advertisement) and also in terms of its fine-grained annotations. The annotation guidelines were designed with guidance by a domain expert, and the annotation is performed by two domain experts, resulting in a high-quality annotation, with agreement rate F-scores as high as 0.815.
Facial expression recognition based on landmark-guided graph convolutional neural network

Abstract. Convolutional neural network (CNN)-based facial emotion recognition (FER) lacks structural information, which affects the accuracy of FER. To automatically extract structural features and enrich the representation of expression features, we propose a dual-branch network based on CNN and graph CNN (GCNN) for FER. Specifically, one branch uses CNN to obtain the global features of expressions; in the parallel branch, we adopt a sparse coding strategy and propose a landmark-guided GCNN to extract the facial structure information under different expressions, enhancing the feature representation of key regions of facial expressions. The features of the two branches are fused through the channel attention mechanism to increase the semantic strength of the features to obtain more comprehensive and accurate expression features for expression classification. The entire deep neural network is trained end-to-end, and the extracted expression features are more discriminative, thereby improving the classification performance. Our experimental results prove the effectiveness of the proposed method on three publicly available datasets such as CK + (99.24%), Fer2013 (73.26%), and Raf-db (87.42%). The proposed algorithm for extracting image structure information can be flexibly implanted into any model of image classification, image segmentation, etc., where the input image has structural information.
Modelo Aplicable A La Gestión De Procesos Ágiles De Desarrollo De Software Basado En Cmmi –Dev 1.3 Y Scrum

El presente Articulo de Investigacion propone un modelo orientado a las necesidades de calidad total en las organizaciones dedicadas al desarrollo de software conforme a la alineacion de los procesos de desarrollo y gestion con los objetivos organizacionales; lo cual hace pertinente la formulacion de un modelo de gestion de procesos de desarrollo basado en los principios y practicas del enfoque agil, orientado hacia la aplicacion de buenas practicas y procesos de mejora continua. El modelo planteado se denomina SUMM - “Modelo Unificado de Madurez de Scrum” y esta orientado a la gestion de procesos agiles de desarrollo de software enmarcados en las buenas practicas de CMMI-DEV 1.3 y el marco de trabajo de SCRUM. SUMM consta de cinco niveles de madurez, de acuerdo a la representacion por etapas de CMMI - DEV, estos niveles a su vez estan compuestos de Metas, Objetivos, Practicas e Indicadores que permitiran a la organizacion poder emplear un modelo de desarrollo agil de calidad, enfocados en procesos de mejora continua. Abstract This article of Research proposes a model oriented to the needs of total quality in organizations dedicated to software development according to the alignment of development and management processes with organizational objectives, which makes the formulation of relevant management model development process based on the principles and practices of agile approach towards the application of best practices and continuous improvement processes. The proposed model is called SUMM - "Unified Model Scrum Maturity" and is focused on process management software development agile framed in the best practices of CMMI-DEV 1.3 and SCRUM framework. SUMM consists of five maturity levels, according to the staged representation of CMMI - DEV, these levels in turn are composed of Goals, Objectives, Practices and indicators that enable the organization to employ an agile development model quality focused on continuous improvement processes.