Miracle-dz/UniFAR-FTUs huggingface dataset:
Profile of trauma patients in the emergency department of a tertiary care hospital in South India

Background: Trauma is an increasing cause of morbidity and mortality in India. This study was done to improve the understanding of the mode of trauma, severity of injuries, and outcome of trauma victims in our hospital. Materials and Methods: This was a retrospective observational study of all adult trauma patients more than 18-year-old presenting to our emergency department (ED). Details of the incident, injuries, and outcome were noted. Results: The ED attended to 16,169 patients during the 3-month study period with 10% (1624/16,169) being adult trauma incidents. The gender distribution was 73.6% males and 26.4% females. The mean age was 40.2 ± 16.7 years. The median duration from time of incident to time of arrival to the ED was 3 h (interquartile range [IQR]: 1.5-6.5) for priority one patients, 3 h (IQR: 1.5-7.7) for priority two patients, and 1.5 h (IQR: 1-7) for priority three patients. The average number of trauma incidents increased by 28% during the weekends. Road traffic accident (RTA) (65%) was the most common mode of injury, followed by fall on level ground (13.5%), fall from height (6.3%), work place injuries (6.3%), and others. Traumatic brain injury was seen in 17% of patients while 13.3% had polytrauma with two-wheeler accidents contributing to the majority. The ED team alone managed 23.4% of patients while the remaining 76.6% required evaluation and treatment by the trauma, surgical teams. The in-hospital mortality rate was 2.3%. Multivariate analysis showed low Glasgow coma score (odds ratio [OR]: 0.65, 95% confidence interval [CI]: 0.55-0.76, P < 0.001) and high respiratory rate (OR: 1.15, 95% CI: 1.07-1.24, P < 0.001) to be independent predictors of mortality among polytrauma victims. Conclusions: RTA and falls are the predominant causes of trauma. A simple physiological variable-based scoring system such as the revised trauma score may be used to prioritize patients with polytrauma.
Muscle-specific RING finger-2 (MURF-2) is important for microtubule, intermediate filament and sarcomeric M-line maintenance in striated muscle development

The efficient functioning of striated muscle is dependent upon the structure of several cytoskeletal networks including myofibrils, microtubules, and intermediate filaments. However, little is known about how these networks function together during muscle differentiation and maintenance. In vitro studies suggest that members of the muscle-specific RING finger protein family (MURF-1, 2, and 3) act as cytoskeletal adaptors and signaling molecules by associating with myofibril components (including the giant protein, titin), microtubules and/or nuclear factors. We investigated the role of MURF-2, the least-characterized family member, in primary cultures of embryonic chick skeletal and cardiac myocytes. MURF-2 is detected as two species (∼55 kDa and ∼60 kDa) in embryonic muscle, which are down-regulated in adult muscle. Although predominantly located diffusely in the cytoplasm, MURF-2 also colocalizes with a sub-group of microtubules and the M-line region of titin. Reducing MURF-2 levels in cardiac myocytes using antisense oligonucleotides perturbed the structure of stable microtubule populations, the intermediate filament proteins desmin and vimentin, and the sarcomeric M-line region. In contrast, other sarcomeric regions and dynamic microtubules remained unaffected. MURF-2 knock-down studies in skeletal myoblasts also delayed myoblast fusion and myofibrillogenesis. Furthermore, contractile activity was also affected. We speculate that some of the roles of MURF-2 are modulated via titin-based mechanisms.
Why do students not engage in Collaborative Learning outside of class

Abstract: Collaborative learning (CL) can be a powerful pedagogy. By encouraging learners to discuss ideas and develop a shared understanding of a problem, learning can be made more-efficient and more-powerful. However, most evidence for the impact of CL focuses on the classroom. We have developed an approach, termed Shadow Modules, which uses principles of CL to support student-directed learning outside of class. However, engagement with these CL activities is low, and so this study aims to identify student attitudes towards CL, and whether there is a link between views of CL and learning strategies (deep, surface or strategic). Using a mixed-methods approach we have investigated students’ perceptions of CL, and potential reasons why they may not engage fully with such learning activities of their own accord. The data suggest that students are generally skeptical of CL, although surface learners to show a mild, but significant, preference for it. Student concerns of CL are mainly that it might lead to a reduced-efficiency of studying, or be distracting. Even though many recognized the benefits of CL, still this general suspicion of sharing learning activities was pervasive. These findings have implications for the management of student-study and revision groups.
Epidemiology and treatment approaches in management of invasive fungal infections

Over the past 20 years, the number of invasive fungal infections has continued to persist, due primarily to the increased numbers of patients subjected to severe immunosuppression. Despite the development of more active, less toxic antifungal agents and the standard use of antifungal prophylaxis, invasive fungal infections (especially invasive mold infections) continue to be a significant factor in hematopoietic cell and solid organ transplantation outcomes, resulting in high mortality rates. Since the use of fluconazole as standard prophylaxis in the hematopoietic cell transplantation setting, invasive candidiasis has come under control, but no mold-active antifungal agent (except for posaconazole in the setting of acute myelogenous leukemia and myelodysplastic syndrome) has been shown to improve the survival rate over fluconazole. With the advent of new azole and echinocandin agents, we have seen the emergence of more azole-resistant and echinocandin-resistant fungi. The recent increase in zygomycosis seen in the hematopoietic cell transplantation setting may be due to the increased use of voriconazole. This has implications for the empiric approach to pulmonary invasive mold infections when zygomycosis cannot be ruled out. It is imperative that an amphotericin B product, an antifungal that has never developed resistance in over 50 years, be initiated. The clinical presentations of invasive mold infections and invasive candidiasis can be nonspecific and the diagnostic tests insensitive, so a high index of suspicion and immediate initiation of empiric therapy is required. Unfortunately, our currently available serologic tests do not predict infection ahead of disease, and, therefore cannot be used to initiate “preemptive” therapy. Also, the Aspergillus galactomannan test gives a false negative result in patients receiving antimold prophylaxis, ie, virtually all of our patients with hematologic malignancy and hematopoietic cell transplant recipients. We may eventually be able to select patients at highest risk for invasive fungal infections for prophylaxis by genetic testing. However, with our current armamentarium of antifungal agents and widespread use of prophylaxis in high-risk groups (hematologic malignancy, hematopoietic cell transplantation), we continue to see high incidence and mortality rates, and our future hope lies in reversing the immunosuppression or augmenting the immune system of these severely immunocompromised hosts by developing and utilizing immunotherapy, immunoprophylaxis, and vaccines.
Generalized differential encoding: a nonlinear signal processing framework

Encoding of communication signals compensates for phase distortions introduced by imperfect local oscillators, fading, and multipath effects. Differential encoding is generalized in this paper using a nonlinear transformation called multi-lag high-order instantaneous moment (ml-HIM). The ml-HIM decoder is capable of removing not only constant phase ambiguity, but also Doppler frequency, Doppler rate, and even higher-order phase distortions. The multiple lags present in the ml-HIM are exploited to improve system performance. Differential encoding is also generalized to non-constant modulus constellations such as M-ary QAM and AM-PM.
Analyse, Collaborate and Publish Statistics for Measuring Progress in our Society using Storytelling

Official statistics such as demographics, environment, health, socialeconomy and education from national or regional territories are a rich and important source of information for many important aspects of life. Webenabled geovisual analytics is a technique that can help illustrating comprehensive statistical data which for the eye are hard perceive or interpret. In this paper, we introduce “storytelling” means for the author to 1) select spatio-temporal and multivariate statistical data, 2) explore and discern trends and patterns, 3) orchestrate and describe metadata, 4) collaborate with colleagues to confirm and 5) finally publish essential gained insight and knowledge embedded as dynamic visualization “Vislet” in a blog or web page. The author can guide the reader in the directions of both context and discovery while at the same time follow the analyst’s way of logical reasoning. We are moving away from a clear distinction between authors and readers affecting the process through which knowledge is created and the traditional models which support editorial work. Value no longer relies solely on the content but also on the ability to access this information.
Automatic bilingual ontology construction using text corpus and ontology design patterns (ODPs) in Tuberculosis's disease

Ontology is a representation term used to describe and represent a domain of knowledge. Manually ontology development is currently considered complex, requiring a lot of time and effort. This research was proposed to develop methods to build automatic domain ontology bilingual in Indonesian and English by using corpus and ontology design patterns (ODPs) in tuberculosis disease. In this study, the methods used were to combine ontology learning from text and correspond with ontology design patterns to decrease the role of expert knowledge. The methods in this research consist of six stages: (i) Term and relation extraction (ii) Corresponding with Tuberculosis glossary (iii) Corresponding the ontology design patterns (iv) Score computation similarity term and relations with ODPs (v) Ontology Building (vi) Ontology evaluation. The results of ontology construction were 361 terms and 44 relations with 260 terms were added. The calculation accuracy of ontology construction was 71%. Ontology construction had higher complexity and shorter time as well as decreases the role of the expert knowledge which proof that the automatic ontology evaluation is better than manual ontology construction.
In situ analysis of epigenetic modifications in the chromatin of Brachypodium distachyon embryos

Epigenetic modifications of the chromatin structure are crucial for many biological processes and act on genes during the development and germination of seeds. The spatial distribution of 3 epigenetic markers, i.e. H4K5ac, H3K4me2 and H3K4me1 was investigated in ‘matured,’ ‘dry,’ ‘imbibed” and ‘germinating’ embryos of a model grass, Brachypodium. Our results indicate that the patterns of epigenetic modification differ in the various types of tissues of embryos that were analyzed. Such a tissue-specific manner of these modifications may be linked to the switch of the gene expression profiles in various organs of the developing embryo.
An X-Ray MiniSurvey of Nearby Edge-on Starburst Galaxies. II. The Question of Metal Abundance

We have undertaken an X-ray survey of a far-infrared flux-limited sample of seven nearby edge-on starburst galaxies. The data are presented in the first paper of this series by Dahlem, Weaver, & Heckman. Here, we examine the two X-ray-brightest sample members, NGC 253 and M82, in a self-consistent manner, taking account of the spatial distribution of the X-ray emission in choosing our spectral models. Both galaxies require at least three components to model the 0.1-10.0 keV spectrum, but the modeling is by no means unique. There is significant X-ray absorption in the disk of NGC 253. When this is accounted for in spectral fits to the emission between ~0.2 and 2.0 keV, we find that multitemperature thermal plasma models with significant underlying soft X-ray absorption are more consistent with the imaging data than single-temperature models with highly subsolar abundances or models with minimal absorption and nonequilibrium thermal ionization conditions, as have been proposed by others. Our three-component models do not require absolute abundances that are inconsistent with solar values or unusually supersolar ratios of the α-burning elements with respect to Fe (as claimed previously). We conclude that with current data, the technique of measuring abundances in starburst galaxies via X-ray spectral modeling is highly uncertain. Much improved spatial/spectral resolution and increased sensitivity are required. Based on the pointlike nature of much of the X-ray emission in the PSPC hard-band image of NGC 253, we suggest that a significant fraction of the "extended" X-ray emission in the 3-10 keV band seen along the disk of the galaxy with ASCA and BeppoSAX (Cappi et al.) is composed of discrete sources in the disk, as opposed to purely diffuse, hot gas. If a significant amount of the hard X-ray emission were due to unresolved point sources with weak Fe Kα emission (e.g., X-ray binaries), this could explain the low Fe abundances of ~ solar derived by Cappi et al. for pure thermal models.
Semantic and structural performer clustering in BPMN models transformed into social network models

Current trends in organization restructuring focus on the social relationships among the organizational actors in order to improve the business process. Proposed business process model restructuring approaches adopt either social network discovery or rediscovery techniques. Social network discovery uses semantic information to guide the affiliation process during its analyses, whereas social network rediscovery uses structural information to identify groups in the social network. In this paper, we propose a hybrid method that exploits both knowledge discovery and rediscovery to suggest a new structure of a business process model that is based on performers clustering. Using the context concept, the proposed method applies a hierarchical clustering algorithm to determine the performer partitions; the algorithm uses two newly defined distances that account for the semantic and structural information. The method is illustrated and evaluated experimentally to analyze its performance.
Yawning As a New Potential Diagnostic Marker for Neurological Diseases

Yawning apparatus and exact location of the yawn reflex remains controversial. Yet yawning is a significant behavioural response and potentially a new diagnostic marker of neurological disease. Association between cortisol, electromyography (EMG) and yawning was found in humans supporting Thompson Cortisol Hypothesis (TCH) which complements thermoregulation hypotheses indicating brain cooling occurs when yawning. 28 male, 54 female volunteers, 18-69 years, randomly allocated to experimentally controlled conditions of provoked yawning. Saliva samples were collected at start and after yawning, or after stimuli presentation, in absence of yawning. EMG data was collected from jaw muscles at rest and after yawning. Specially designed yawning susceptibility scale, Hospital Anxiety and Depression Scale, General Health Questionnaire, demographic, health details were collected. Between- and within-subjects comparisons of yawners and non-yawners was conducted. Exclusion criteria: chronic fatigue, diabetes, fibromyalgia, heart condition, high blood pressure, hormone replacement therapy, multiples sclerosis, stroke. Yawning group: significant difference between saliva cortisol samples, rest and yawning t (37)=2.842, p=0.007, compared with non-yawners, rest and post-stimuli, which was non-significant. Yawners, rest EMG: -100 to 200 millionth of a volt (mean=182.2) and -60 000 to 18 000 (mean=3 897.4) after yawning. Non-yawners, rest EMG: -80 to 120 (mean=37.2) and -400 to 800 (mean=57.5) after stimuli presentation. Yawners showed larger peak following yawn compared with post-stimuli for non-yawners. Significant supporting evidence for TCH suggests cortisol levels are elevated during yawning. Changes in cortisol levels may become a new diagnostic tool in early diagnosis of neurological symptoms. Bournemouth University Research & Ethics BU-KAPP06-09/13.
P-packSVM: Parallel Primal grAdient desCent Kernel SVM

It is an extreme challenge to produce a nonlinear SVM classifier on very large scale data. In this paper we describe a novel P-packSVM algorithm that can solve the Support Vector Machine (SVM) optimization problem with an arbitrary kernel. This algorithm embraces the best known stochastic gradient descent method to optimize the primal objective, and has 1/¿ dependency in complexity to obtain a solution of optimization error ¿. The algorithm can be highly parallelized with a special packing strategy, and experiences sub-linear speed-up with hundreds of processors. We demonstrate that P-packSVM achieves accuracy sufficiently close to that of SVM-light, and overwhelms the state-of-the-art parallel SVM trainer PSVM in both accuracy and efficiency. As an illustration, our algorithm trains CCAT dataset with 800k samples in 13 minutes and 95% accuracy, while PSVM needs 5 hours but only has 92% accuracy. We at last demonstrate the capability of P-packSVM on 8 million training samples.
Design and performance assessment of maximum capacity MIMO architectures in line-of-sight

The authors investigate the capacity of multiple-input, multiple-output (MIMO) communication systems in line-of-sight (LoS). Under this scenario, the channel is normally rank deficient owing to the linear dependence of the LoS rays' phases on the receive elements. To overcome this problem, specifically designed antenna arrays can be employed, where the antenna elements are positioned in such a way as to preserve orthogonality; hence maximising the channel rank. To help in the design of such systems we derive the criterion for achieving maximum MIMO capacity in a LoS environment as a function of the transmit-receive separation distance, the array orientation and the inter-element spacings. We investigate the performance and the capacity sensitivity for a number of MIMO architectures using a Monte-Carlo simulation and a stochastic channel model. We then present a number of MIMO measurements performed inside an anechoic chamber and in an indoor office environment. Finally, our theoretic predictions are compared against the LoS measurements.
Design of an LNA in 0.18 µm CMOS Technology with a Flat and High Gain Covering Full Ultrawideband for Low Power Applications

In this paper an ultrawideband low noise amplifier is proposed. The structure is based on 0.18 µm CMOS technology. The design is based on the current reusing structure to provide the wide band characteristics. A wideband flat gain (S21) about 20dB is achieved, stability of the structure over the whole desired frequency range is provided. Due to careful selection of the elements and biasing conditions, total power consumption of the topology from a 1.8 v supply is 3.4 mw. Another specific characteristic of the design is the comparatively low noise figure, less than 1.7 dB over the whole band of frequency.
Extending the transaction model to capture more meaning

Since it has been first introduced, the concept of transaction has become one of the fundamental abstractions used in the design and analysis of information systems that provide concurrent access to share information. The basic idea of transactions is to divide application programs into well defined units that provide semantically correct transitions between consistent states of the information system. The fundamental properties of transactions, as defined by Gray [GraB1], namely atornicity, isolation and durability turned out to be very useful in the modeling of real world applications. In particular, most work on concurrency control, commitment and recovery has been performed using transactions as a basic unit of work.
Kerberos , Cryptography and Biometric based Remote Authentication Protocol

We are looking for a very secure method of remote authentication. Biometrics authentication has become popular with the increase in infrastructure facilities and scope of sensor technologies. They are suited due to high security in applications like remote authentication. We are considering a provably secure and blind sort of biometric authentication protocol combined with the advantages of Kerberos’s ticket granting. We are using cryptography to make the protocol more secure. It can successfully run over public network for remote access. It can also be implemented to take care of the revoking of registered templates. It is not biometric specific. The main Kerberos part comes in because of the ticket granting mechanism. Kerberos and biometrics are already proven to survive range of attacks. Finally we show a central, already secure, server that can be used for mass authentication and a wide range of applications.
A posteriori error estimator for a mixed finite element method for Reissner-Mindlin plate

We present an a posteriori error estimator for a mixed finite element method for the Reissner-Mindlin plate model. The finite element method we deal with, was analyzed by Duran and Liberman in 1992 and can also be seen as a particular example of the general family analyzed by Brezzi, Fortin and Stenberg in 1991. The estimator is based on the evaluation of the residual of the finite element solution. We show that the estimator yields local lower and global upper bounds of the error in the numerical solution in a natural norm for the problem, which includes the H 1 norms of the terms corresponding to the deflection and the rotation and a dual norm for the shearing force The estimates are valid uniformly with respect to the plate thickness.
A comparative study between managers of corporations in Greece and the U.S. regarding their use and perceived value of computer-based information systems in supporting decision making

Through a comparative analysis of Greek and U.S. managers, this study adds to our understanding of how computer-based information systems (CBIS) support managerial decision making. Based on four views of decision making and various classifications of CBIS, the findings iudlcate that the Greek and U.S. samples have several similarities and a few significant differences. Similarities suggest that either information reporting systems (IRS) are inherently better than decision support systems (DSS) at serving managers’ information needs or the evolution in both types of systems has not allowed DSS to reach the value of IRS. Differences show the Greek sample used stand-alone PCs more. whereas the U.S. sample used PCS or workstations connected to a central computer system or local area network to a much greater extent. These and other results may indicate that the investment in CBIS to support managers has been targeted more at top managers in the U.S. and more at lower level managers in Greece. Keywords; Decision making, managers, information technology use, Greece, Europe, United States, managerial work, information technology value, information satisfaction, mental models, decision support, executive information systems, computer use