Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding barriers to delirium care: a multicentre survey of knowledge and attitudes amongst UK junior doctors

Keywords: delirium, questionnaire, survey, elderlyBackground: delirium is under-diagnosed and under-treated in comparison to other common and serious acute disorders. The reasons for this are unclear. Objective: we conducted a multicentre survey of knowledge of and attitudes to delirium in trainee general physicians. Design: questionnaire-based survey in 34 acute hospitals in the UK. Methods: we developed a questionnaire designed to test knowledge of delirium prevalence, DSM-IV diagnostic criteria, use of specific screening tools, association with adverse outcomes, and pharmacological management. Questionnaires were completed and returned by hand to the researchers immediately after recruitment. Participants were a convenience sample of trainee doctors in general and emergency medicine. Results: 784 trainee physicians participated. Most participants expressed the view that delirium has a high prevalence and that it is associated with serious adverse outcomes. However, they had poor knowledge of its diagnosis and treatment, reporting the need for better training. Experience working in geriatric medicine had only a modest effect on the ability to diagnose delirium. Conclusions: UK training doctors' lack of basic knowledge of the diagnosis and management of delirium, rather than a lack of awareness of its high prevalence and clinical significance, appears to be important in determining its under-recognition. Address correspondence to: D. Davis. Tel: (+44) 1865 221325; Fax: (+44) 1865 222901. Email: daniel.davis@magd.ox. ac.uk
Fear conditioning prompts sparser representations of conditioned threat in primary visual cortex

Repeated exposure to threatening stimuli alters sensory responses. We investigated the underlying neural mechanism by recording simultaneous EEG-fMRI from human participants viewing oriented gratings during Pavlovian fear conditioning. In acquisition, one grating (the CS+) was paired with a noxious noise, the unconditioned stimulus (US). The other grating (CS-) was never paired with US. In habituation, which preceded acquisition, and in final extinction, the same two gratings were presented without the US. Using fMRI-BOLD multivoxel patterns in primary visual cortex during habituation as reference, we found that during acquisition, aversive learning selectively prompted systematic changes in multivoxel patterns evoked by the CS+. Specifically, CS+ evoked voxel patterns in V1 became sparser as aversive learning progressed, and the sparse pattern was preserved in extinction. Concomitant with the voxel pattern changes, occipital alpha oscillations were increasingly more desynchronized during CS+ (but not CS-) trials. Across acquisition trials, the rate of change in CS+-related alpha desynchronization was correlated with the rate of change in multivoxel pattern representations of the CS+. Furthermore, alpha oscillations co-varied with BOLD in the right temporal-parietal junction, but not with BOLD in the amygdala. Thus, fear conditioning prompts persistent sparsification of threat cue representations, likely mediated by attention-related mechanisms.
Epidemiological Investigation, Monitoring and Surveillance; Strategies in Public Health Sustenance

Monitoring, surveillance and investigation of health threats are vital capabilities for an effective health system. The International Health Regulations require countries to maintain an integrated, national system for public health surveillance and response and set out the core capabilities that countries are required to achieve. Public health laws typically establish a list of “notifiable diseases” and other conditions that health care providers, hospitals and/or laboratories are required to report to the relevant local or national public health authority. Notifiable diseases generally include infectious diseases that can quickly spread throughout communities and regions via water, food, contact with animals, mosquitoes, airborne droplets or through sexual contact and other forms of human interaction. Rare and new events may not be included in regular, clinical and laboratory-based surveillance systems. Also, outbreaks of serious or contagious diseases require immediate investigation so that appropriate public health measures including isolation and contact tracing can be implemented. A significant degree of stigma may be attached to some diseases. Notifiable disease legislation should require the protection of personal information, and clearly define any exceptions. Concerns about discrimination and breach of privacy may be addressed by requiring certain diseases to be reported on an anonymous or de-identified basis.
Transthoracic 3D Echocardiographic Imaging of Type A Aortic Dissection – Case Presentation

Abstract In type A aortic dissection (AoD) an early and accurate diagnosis is essential to improve survival, by applying urgent surgical repair. 3D transthoracic echocardiography (3D-TTE), an advanced noninvasive imaging technique, could offer a comprehensive evaluation of the ascending aorta and aortic arch in this regard. Both modalities of real-time 3D imaging – live 3D and full-volume aquisition – proved to be useful in evaluating the localization and extent of AoD. Our case illustrates the utility of 3D-TTE in the complex assessment AoD. By providing the proper anatomical dataset, 3D-TTE could facilitate considerably the diagnosis of type A AoD.
The role of perceived threat in Australians’ endorsement of asylum-seeker policies

Australia’s treatment of asylum seekers continues to polarise public debate. The present study sought to investigate the factors that may influence an individual’s endorsement of deterrence-based government policies. Using the integrated threat theory of prejudice, the present study examined the role of perceived threat in shaping Australian voters’ political attitudes toward asylum seekers. A total of 255 Australian citizens completed an online questionnaire that assessed their support for aspects of government policy and their perceptions of asylum seekers as a threat. Hierarchical multiple regression analyses were used to examine the combined and unique influences of perceived threat and sociodemographic factors on overall and individual government policy endorsement. Results indicated that various types of threat (realistic, symbolic, and negative stereotypes) were significant predictors of policy support. Practical implications regarding the development of anti-discriminatory strategies and directions for future research are discussed.
Ileal Crohn's Disease. A case report

El término Enfermedad Inflamatoria Intestinal (EII) incluye a un grupo de entidades clínicas que se caracterizan por ser procesos inflamatorios crónicos de etiología desconocida, y afectar primordialmente, aunque no de forma exclusiva, al intestino. Actualmente se reconocen varias entidades que se engloban en este concepto: Colitis Ulcerosa (CU), Enfermedad de Crohn (EC), Colitis Inclasificada (CI), Colitis Microscópica (CM) y Reservoritis (Pouchitis). La Enfermedad de Crohn puede afectar a cualquier tramo del intestino, siendo la localización más frecuente la Ileal y Colónica en forma simultánea. El proceso inflamatorio en la EC es transmural y sus síntomas fundamentales son la diarrea generalmente crónica y/o el dolor abdominal. Presentamos el caso de una mujer joven con una EC que compromete exclusivamente al ileon terminal, en la que se realizó el diagnóstico de EC ileal por la clínica, la endoscopía y la anatomía patológica, que respondió satisfactoriamente a la terapéutica instaurada, y se revisa el concepto de la EC con énfasis en su diagnóstico.
ANALISIS PENGGUNAAN PERANGKAT ICT LABORATORIUM KAMPUS PADA KINERJA MAHASISWA MENGGUNAKAN MODEL TASK TECHNOLOGY FIT (STUDI EMPIRIS PADA MAHASISWA TELKOM UNIVERSITY)

Abstrak Penerapan teknologi harus dievaluasi menggunakan sebuah model yang komperhensif untuk menilai apakah teknologi yang telah digunakan mampu memberikan dampak bagi kinerja individu mahasiswa dalam menjalankan tugasnya. Penelitian ini mengevaluasi teknologi pendukung akademik di Telkom University dengan model task technology fit. Penelitian ini menggunakan SEM-PLS untuk mengetahui faktor-faktor yang mempengaruhi hubungan antara task mobility, task feedback, system reliability, system accessibility dan system quality, dengan habitual use yang dipengaruhi oleh self efficacy, trust, perceived critical mass dan reputation. Hasil penelitian menyatakan bahwa dimensi Task Mobility, Task Feedback, System Reliability, Trust, Reputation dan Task Technology Fit berpengaruh positif serta signifikan pada Kinerja Mahasiswa Dalam Penggunaan Perangkat ICT Laboratorium Kampus. Dimensi Perceived Critical Mass dan System Quality berpengaruh positif tetapi tidak signifikan Kinerja Mahasiswa Dalam Penggunaan Perangkat ICT Laboratorium Kampus. Sedangkan dua variabel yaitu System Accessibility dan Self Efficiency di eliminasi dari pengolahan data di karenakan variabel tidak reliabel. Kata Kunci : SEM-PLS, Task Technology Fit, Kinerja Mahasiswa Abstract The application of technology must be evaluated using a comprehensive model to assess whether the technology that has been used can have an impact on individual student performance in carrying out their duties. This study evaluates academic supporting technology at Telkom University with the task technology model fit. This study uses SEM-PLS to determine the factors that influence the relationship between task mobility, task feedback, system reliability, system accessibility and system quality, with habitual use which is influenced by self efficacy, trust, perceived critical mass and reputation. The results of the study stated that the dimensions of Task Mobility, Task Feedback, System Reliability, Trust, Reputation and Task Technology Fit had a positive and significant effect on Student Performance in the Use of ICT Equipment in Campus Laboratories. The Dimensions of Perceived Critical Mass and System Quality have a positive but not significant effect on Student Performance in the Use of ICT Equipment in Campus Laboratories. While the two variables namely System Accessibility and Self Efficiency are eliminated from data processing because the variables are not reliable. Keywords: SEM-PLS, Task Technology Fit, Student Performance
Comparación del modelo COM-Poisson y el modelo Poisson

espanolLa modelacion de datos de conteo se hace tipicamente usando el modelo Poisson, en el cual se asume equidispersion (ED), en donde la media y la varianza son iguales.Cuando esta condicion no es facil de justificar, han surgido diferentes alternativas, unas mas flexibles que otras, en cuanto a la capacidad de manejar tanto sobredispersion (OD) como subdispersion (UD). Una de ellas es el modelo COM-Poisson el cual fue propuesto recientemente y ha sido evaluado en terminos inferenciales (Sellers & Shmueli 2010a). Esta investigacion quiere cuantificar la calidad predictiva del modelo COM-Poisson con respecto al modelo Poisson, y asi establecer la perdida en la eficiencia que se tiene al ajustar el modelo inadecuado cuando la propiedad de equidispersion no es satisfactoria. El estudio de simulaci on efectuado determino que al ajustar el modelo inadecuado, ya sea en sobre o subdispersion, no representa, en la mayoria de los casos, ni una ganancia o perdida en cuanto a la calidad predictiva de los valores ajustados. Dos estudios de caso aplicados a la ecologia ilustran los resultados obtenidos. EnglishWhen modeling count data, the poisson model is typically used, in which the equidispersion (ED) assumption is assumed, where the mean and variance are equal. When this condition is not easy to justify, different alternatives have been proposed, some more flexible than others in terms of accounting for both overdispersion (OD) and underdispersion (UN). One of them is the COM-Poisson model which was recently proposed and has been evaluated in inferential terms. The investigation presented here aims to compare the COM-Poisson model predictive quality with respect to the Poisson model and establish the loss in efficiency that occurs when the inadequate model is fitted when the property of equidispersion is not satisfactory. A simulation study determined that adjusting the inappropriate model either over or underdispersion does not represent in most cases, a gain or loss of the predictive quality. Two case studies illustrate ours findings obtained here.
Accurate 3D localisation of mobile target using single station with AoA–TDoA measurements

An attractive and challenging problem in source localisation is to locate a target in three-dimensional (3D) space using a single station. To satisfy the observability requirements and achieve higher accuracy, the authors draw on the idea of the inverse synthetic aperture radar for single-station localisation, which leverages the mobility of target and a time serial measurements of angle of arrival (AoA) and time difference of arrival (TDoA). A closed-form pseudo-linear estimator (PLE) is developed to estimate both 3D position and velocity of mobile target through the linearisation of AoA–TDoA measurement equations. Furthermore, to suppress the large bias of PLE caused by the correlation of measurement noise, the authors propose a superior bias-reduced estimator (BRE), which imposes a quadratic constraint to minimise the noise correlation term. They prove that BRE is asymptotically efficient, attaining the Cramer-Rao lower bound (CRLB) over the moderate noise region. Extensive simulations show that both bias and mean square error of BRE are well predicted by theoretical analysis. Most importantly, in comparison with both PLE and two traditional bias reduction methods, namely weighted total least squares and weighted instrumental variables, BRE can approach the CRLB over a wider noise region and maintain a lower bias.
Constructing and analyzing a disease network based on proteins

Protein is the specific executor of life activities, but there is no protein-based disease network and the current disease networks cannot show that a disease group share the same factors. We propose a method to construct a protein-based network by assigning disease pairs to different intervals according to their similarities and searching for disease groups in each interval. Statistical methods are used to analyze the disease network, and the result indicates that : in the case where a disease belongs to only one disease group, most diseases have their own protein characteristics, but the common protein of them is not obvious; the more diseases a protein is related to, the more likely the protein becomes common protein; diseases grouping at protein level in this study are different from traditional disease classification; there is a certain relationship between disease symptoms and underlying proteins, but not one-to-one correspondence.
Approach for classifying continuous control set‐predictive controllers applied in AC motor drives

In this article, basic concepts, operating principles and important characteristics of continuous control set-predictive controllers (CCS-PCs) applied to AC motors are explained in detail. Based on the existence or absence of cost function as well as the method used to find the optimal control action, CCS-PCs can be categorised into the following three categories: predictive controllers without cost function, predictive controllers with a cost function (or model predictive controllers) and deadbeat controllers. To identify the advantages and disadvantages of each category, one of the recent algorithms of each category is selected and implemented experimentally. Then, various experimental tests are conducted where performances of all the algorithms are assessed in a comprehensive manner by evaluating stator-flux ripple, torque ripple, stator current harmonics, robustness against parameter changes, computational complexity, memory requirement and torque dynamic response. To achieve general and meaningful conclusions, the analysis is performed on a traditional three-phase two-level voltage source inverter used to control an interior permanent-magnet synchronous motor. Based on the theoretical discussions and experimental results, it is indicated that which category of CCS-PCs can be adopted in high performance AC motor drives.
Interventionelle Therapie der Mitralklappe: MitraClip® – Indikationen und Vorgehen 2017

Zusammenfassung Die interventionelle Behandlung der Mitralklappeninsuffizienz mit dem MitraClip®-Verfahren ist mittlerweile eine etablierte Alternative für Hochrisikopatienten. Neben der Behandlung der sekundären – funktionellen – Mitralklappeninsuffizienz ist der MitraClip durchaus auch bei Patienten mit primärer – degenerativer – Mitralklappeninsuffizienz und erhöhtem Operationsrisiko oder sehr hohem Lebensalter einsetzbar und hat im mittelfristigen Verlauf klinisch überzeugende Behandlungsergebnisse gezeigt. Eine zunehmende Anzahl von Studien belegt, dass das MitraClip-Verfahren auch langfristig vergleichbare Ergebnisse zur operativen Therapie bietet 1, 2. Weiterhin haben sich die Techniken zur Beurteilung des periprozeduralen Ergebnisses verbessert 3. Ob mit der MitraClip-Implantation bei Patienten mit sekundärer Mitralklappeninsuffizienz ein Überlebensvorteil gegenüber einer rein medikamentösen Therapie besteht bzw. ob die MitraClip-Implantation bei der primären oder sekundären Mitralklappeninsuffizienz und hohem OP-Risiko der operativen Therapie überlegen ist, wird aktuell in verschiedenen laufenden randomisierten Studien untersucht (RESHAPE-HF, COAPT-Studie, MATTERHORN).
The Indonesia Stock Exchange and Its Dynamics: An Analysis of the Effect of Macroeconomic Variables

The relationship among some macroeconomic variables such as the exchange rate, world oil prices, and international capital market index with the Indonesian stock market (Indonesia Stock Exchange/ IDX)â€™s dynamics still interesting to study. Some studies still found inconsistent results, and its dependence on the dynamics of the international capital market and financial market, especially when there was turmoil in the international stock markets, such as the economic crisis in America. Those conditions made it interesting to examine whether there are influences from the Dow Jones index, the Rupiah exchange rate toward the US Dollar, and world oil prices toward the JCI.
Free-choice Feeding of Three Different Dietary Calcium Sources and their Influence on Egg Quality Parameters of Commercial Layers

Purpose: The study reported herein was conducted to determine the effects of choice feeding three different calcium (Ca) sources on external and internal egg quality parameters of commercial layers. Research Method: Three dietary Ca sources (oyster shells, limestone and bone meal) were choice fed ad libitumly along with a commercial layer feed. The birds fed only the commercial layer diet was used as the control. The experiment was conducted as a complete randomized design. A total of 128, 55 weeks old Hy-line white layer hens (1500 ±21g) were assigned into 16 cages of 8 birds each. Four replicate cages were randomly assigned to each of the four dietary treatments. Bird’s performances were tested weekly. Twenty eggs from each treatment were collected weekly over five weeks period and were assessed for shell and internal quality parameters. Findings: Daily Ca intakes of birds affected significantly (P 0.05). Dietary supplementation of Ca significantly (P 0.05). Feeding bone meal significantly (P 0.05) on albumen and yolk quality parameters of eggs. Originality/value: The present study concluded that feeding bone meal to commercial layers improves USSW, shell thickness thereby reducing egg damages. Calcium source has no influence in improving internal quality parameters of chicken eggs.
Touch Presence

Technologies are intrinsically linked to the ways in which physical, temporal and emotional distances are thought of and managed. Likewise, social relations and communication technologies mutually shape each other as they are developed and maintained. This chapter explores the social connections that digital touch technologies are beginning to shape, with a focus on the related experiences of presence and absence through mediated touch and the questions this raises for the design space of interpersonal relationships, that is, the mediation of touch between people. We first consider how these concepts have been defined and addressed in the literature on communication technologies in general, and touch technologies in particular. We then use three extended examples from InTouch case studies to explore and reflect on these concepts. We consider how touch technologies might challenge us to think about the interaction between human and machine. We close with a consideration of design implications and possibilities for future research.
Glycopeptide intermediate resistant Staphylococcus aureus

Last week, the Public Health Laboratory Service in England reported an isolation of a glycopeptide resistant methicillin resistant Staphylococcus aureus (MRSA) (1). The organism was isolated from a patient with endocarditis who had failed to respond to treatment with this antibiotic used in combination with gentamicin and rifampicin.
Quality deterioration of bananas in the post-harvest supply chain- an empirical study

Purpose Quality deterioration in bananas along the supply chain (SC) due to cosmetic damage has been a persistent challenge in Australia. The purpose of this paper is to investigate the incidence of cosmetic defects in bananas across the post-harvest SC and determining the causes of the diminished fruit quality at the retail stores. Design/methodology/approach The study quantified the level of cosmetic damage in 243 cartons of Cavendish bananas across three post-harvest SCs in Australia from pack houses to retail stores and identified the risk factors for cosmetic defects. Findings The level of cosmetic damage progressively increased from pack house (1.3 per cent) to distribution centre (DC) (9.0 per cent) and retail (13.3 per cent) and was significantly influenced by package height and pallet positioning during transit. Abrasion damage in ripened bananas was influenced by the travel distance between DC and retail store. The study also revealed a range of risk factors contributing to the observed damage including weakened paperboard cartons due to high moisture absorption during the ripening process. Research limitations/implications This study only investigated damage incidence in three post-harvest banana SCs in Australia and the damage assessments were confined to packaged bananas. Originality/value This study assessed the quality of bananas along the entire post-harvest SC from farm gate to retail store. The study provided knowledge of the extent of the quality defects, when and where the damage occurred and demonstrated the underlying factors for damage along the SC. This will enable the development of practical interventions to improve the quality and minimize wastage of bananas in the retail markets.
ACCOUNTING METHODS : FACTORS AFFECTING BASIS OF THE CHOICE

Corresponding Author: Email: rendypriantomp@gmail.com Abstract; This research aims to analyze the effects of company size, inventory variability, cost of goods sold variability, gross profit margin, leverage, current ratio, and managerial ownership in selecting the inventory accounting methods. The population of this research was manufacturing companies listed in the Indonesia Stock Exchange in 2015-2018. In addition, this research used a purposive sampling method to determine the sample. The research results indicate that company size and inventory variability affect the choice of inventory accounting methods, while variability of cost of goods sold, gross profit margin, leverage, current ratio, and managerial ownership do not affect the choice of inventory accounting methods.