Miracle-dz/UniFAR-FTUs huggingface dataset:
The synthesis of art and science is lived by the nurse in the nursing act

HIP FRACTURE is a major healthcare problem associated with significantly high levels of morbidity, mortality and loss of function. As the population ages the incidence of hip fracture will increase accordingly (Pioli et al 2008). Hip fracture already accounts for 50% of injury-related hospital admissions and 66% of bed days for patients over 65 years of age (Department of Health 2007). Length of stay can be affected by complications such as constipation (Hommel et al 2008). After hip fracture and subsequent hospitalisation, there are several risk factors for constipation, in particular, immobility, lack of privacy and administration of opioid analgesia (Joanna Briggs Institute 2008). Three audits were conducted in 2010, 2011 and 2013 to evaluate bowel care for older people after hip fracture. The audits were undertaken on dedicated trauma wards at a large university teaching hospital. The medical orthogeriatric team carried out the initial audit. Subsequent audits were nurse led. The audits were carried out at intervals over a four-year period. The aim for patients with hip fracture on the trauma wards is medical optimisation and surgical fixation within 36 hours of admission. Most begin to mobilise the day after surgery. Although this is a relatively short period of complete immobility, movement will subsequently be impaired for a considerable time. Imposed bedrest leaves little alternative but the use of bedpans for Abstract
Mining : Visual-analytical Approaches 2 to Explore Large Historical Map Collections 3

Historical maps constitute unique sources of retrospective geographic information. 10 Recently, several map archives containing map series covering large spatial and temporal extents 11 have been systematically scanned and made available to the public. The geographic information 12 contained in such data archives allows extending geospatial analysis retrospectively beyond the era 13 of digital cartography. However, given the large data volumes of such archives and the low 14 graphical quality of older map sheets, the processes to extract geographic information need to be 15 automated to the highest degree possible. In order to understand the salient characteristics, data 16 quality variation, and potential challenges in large-scale information extraction tasks, preparatory 17 analytical steps are required to efficiently assess spatio-temporal coverage, approximate map 18 content, and spatial accuracy of such georeferenced map archives across different cartographic 19 scales. Such preparatory steps are often neglected or ignored in the map processing literature but 20 represent highly critical phases that lay the foundation for any subsequent computational analysis 21 and recognition. In this contribution we demonstrate how such preparatory analyses can be 22 conducted using classical analytical and cartographic techniques as well as visual-analytical data 23 mining tools originating from machine learning and data science, exemplified for the United States 24 Geological Survey topographic map and Sanborn fire insurance map archives. 25
Own-Body Perception

‘Own-body perception’ refers to the perception of one’s body as one’s own body. The chapter reviews various disruptions to own-body perception, including what is known about their neural correlates. It argues that it is crucial to distinguish between the sense of ownership for one’s body as an object of perception—the body-as-object—and the sense of ownership for one’s body as that by which and through which one perceives the world—the body-as-subject. Despite the fact that illusory own-body perception provides an excellent case for illustrating this distinction, most discussions to date of own-body perception have failed to make this distinction and apply it to the various clinical and experimental findings. The chapter summarizes one recent model of the body-as-subject, according to which the body-as-subject is based on sensorimotor integration. Finally, it uses this model to clarify the phenomenon of illusory own-body perception, and it suggests directions for future research.
Self-Hiding Behavior in Android Apps: Detection and Characterization

Applications (apps) that conceal their activities are fundamentally deceptive; app marketplaces and end-users should treat such apps as suspicious. However, due to its nature and intent, activity concealing is not disclosed up-front, which puts users at risk. In this paper, we focus on characterization and detection of such techniques, e.g., hiding the app or removing traces, which we call "self hiding behavior" (SHB). SHB has not been studied per se – rather it has been reported on only as a byproduct of malware investigations. We address this gap via a study and suite of static analyses targeted at SH in Android apps. Specifically, we present (1) a detailed characterization of SHB, (2) a suite of static analyses to detect such behavior, and (3) a set of detectors that employ SHB to distinguish between benign and malicious apps. We show that SHB ranges from hiding the app's presence or activity to covering an app's traces, e.g., by blocking phone calls/text messages or removing calls and messages from logs. Using our static analysis tools on a large dataset of 9,452 Android apps (benign as well as malicious) we expose the frequency of 12 such SH behaviors. Our approach is effective: it has revealed that malicious apps employ 1.5 SHBs per app on average. Surprisingly, SH behavior is also employed by legitimate ("benign") apps, which can affect users negatively in multiple ways. When using our approach for separating malicious from benign apps, our approach has high precision and recall (combined F-measure = 87.19%). Our approach is also efficient, with analysis typically taking just 37 seconds per app. We believe that our findings and analysis tool are beneficial to both app marketplaces and end-users.
Chapter 15 The Management 15 of Frontal Sinus Fractures

Frontal sinus fractures off er signifi cant challenges to surgeons and the treatment paradigm has been debated for many years. Acute concerns include protection of intracranial structures, identifi cation of associated injuries and control of cerebrospinal fl uid (CSF) leakage. Th e aesthetic forehead contour is an important consideration in repair. Past surgical modalities that removed the anterior bony frontal surface left life-long disfi guring defects and have been largely replaced by techniques that leave a smooth contour without visible scars. Concerns about aesthetic deformity, however, must yield to practices that will provide a “safe” sinus resistant to late complications. Long-term issues revolve around surveillance and management of late complications that can occur decades aft er the inciting injury. Traditional treatment paradigms were conceived before the advent of modern endoscopic and advanced imaging techniques, and focus on open techniques for fracture reduction and sinus management. Newer modifi ed algorithms incorporate these technologic advancements with improved functional and cosmetic results.
A Rare Case of Enhancing Anterior Interhemispheric Racemose Neurocysticercosis with Foci of Calcification and Direct Parenchymal Extension

NCC is the most common parasitic infestation of the CNS and the most common cause of late-onset epilepsy in endemic areas (1-3). Cysticercosis has a predilection for the eyes, CNS and striated muscles due to high glycogen and glucose content within these cells. In the brain, it can affect the meninges, parenchyma, ventricles and subarachnoid space. Clinical presentation depends on the number, type, location and developmental stage of the cysticerci as well as the host immune response to the parasite (4,5). Diagnosis is suspected by computerized tomography (CT), magnetic resonance (MR) imaging and confirmed by immunological laboratory tests and biopsy (1,4). Del Bruto et al. have proposed absolute, major, minor and epidemiological criteria for probable and definitive diagnosis of NCC (6).
Active shock absorber control in humanoid robot falls with nonlinear optimization on a reduced dynamics model

— We propose a reduced-model-based analytic approach to active shock absorption by a falling humanoid robot at impact. We model the segment between the contact point at impact and the impacting limb extremity attached to the torso or waist of the humanoid robot as a one degree-of-freedom linear mass-spring-damper system. By mapping the joint angle limits and torque limits of the joints in the impacting limb to a corresponding position limit and force limit in the reduced model, we formulate a nonlinear optimization problem to find an admissible pair of parameters of the reduced model (stiffness, damping) that prevents the model from violating the constraints before reaching a steady state rest. The nonlinear constraints are analytically derived using symbolic computation tools and then numerically solved with off-the-shelf nonlinear optimization solver. The reduced model trajectories are then mapped back on the full body of the humanoid robot and illustrated on the HRP-4 robot in simulation.
Intrapersonal competencies and service leadership

Abstract Intrapersonal competencies form the foundation of one’s development, and they are fundamental qualities of leadership competences. Four types of intelligence are highlighted in the literature of positive psychology: intelligence quotient (IQ), emotional intelligence quotient (EQ), adversity quotient (AQ) and spiritual intelligence quotient (SQ). It is argued that these competences are important in a service leader. Through this lecture, it is expected that students will understand the basic concepts and the importance of different intrapersonal competencies (IQ, EQ, AQ and SQ). We also discuss the relationship between these intrapersonal competencies and effective service leadership. Finally, ways to promote different intrapersonal competencies are depicted.
Toward Neural Phrase-based Machine Translation

In this paper, we propose Neural Phrase-based Machine Translation (NPMT). Our method explicitly models the phrase structures in output sequences through Sleep-WAke Networks (SWAN), a recently proposed segmentation-based sequence modeling method. To alleviate the monotonic alignment requirement of SWAN, we introduce a new layer to perform (soft) local reordering of input sequences. Our experiments show that NPMT achieves state-of-the-art results on IWSLT 2014 German-English translation task without using any attention mechanisms. We also observe that our method produces meaningful phrases in the output language.
Timing of regional deformation and development of the Moine 1

12 The Moine Thrust Zone in the Scottish Highlands developed during the Scandian 13 Event of the Caledonian Orogeny, and now forms the boundary between the 14 Caledonian orogenic belt and the undeformed foreland. The Scandian Event, and the 15 formation of the Moine Thrust Zone, have previously been dated by a range of 16 isotopic methods, and relatively imprecise ages on a suite of alkaline intrusions 17 localised along the thrust zone have provided the best age constraints for deformation. 18 Recent BGS mapping has improved our understanding of the structural relationships 19 of some of these intrusions, and this work is combined with new U-Pb dates in this 20 paper to provide significantly improved ages for the Moine Thrust Zone. Our work 21 shows that a single early intrusion (the Glen Dessarry Pluton) was emplaced within 22 the orogenic belt to the east of the Moine Thrust Zone at 447.9 ± 2.9 Ma. A more 23 significant pulse of magmatism centred in the Assynt area, which temporally 24 overlapped movement in the thrust zone, occurred at 430.7 ± 0.5 Ma. Movement in 25 the thrust zone had largely ceased by the time of emplacement of the youngest 26 intrusions, the late suite of the Loch Borralan Pluton, at 429.2 ± 0.5 Ma, and the Loch 27 Loyal Syenite Complex. 28 [end of abstract] 29
Design of Neural Predictor for Performance Analysis of Experimental Automated System in Oral Photography of Dental Treatment CEM

Recently, in spite of advanced and high technology, there is still some problems for positioning head and chin of dental patients treatment for getting photographs of teeths. Furthermore, it is very important to get previous head and shoulder positions of dental patients for comparison present head position and chin of dental patients. In this study, a new designed system method is introduced for complex through collection of standardized oral photographs and computerassisted measurement of reproducible data. However, PLC based fully automated a photograpic device for fully automated oral photography and standart protocol for the esthetic of the crownmucoginvigal complex is also presented. However, the proposed fully automated system is consited of camara equipment with two directions and head supporting linear sliding mechanism with two directions of Z axes and X axes. On the other hand, to test the proposed system a neural network was used to predict real time measured values. Key-Words: -PLC, dental patients, oral photographs, photograpic device, neural networks
Uniform post-selection inference for least absolute deviation regression and other Z-estimation problems

We develop uniformly valid confidence regions for regression coefficients in a high-dimensional sparse median regression model with homoscedastic errors. Our methods are based on a moment equation that is immunized against nonregular estimation of the nuisance part of the median regression function by using Neyman’s orthogonalization. We establish that the resulting instrumental median regression estimator of a target regression coefficient is asymptotically normally distributed uniformly with respect to the underlying sparse model and is semiparametrically efficient. We also generalize our method to a general nonsmooth Z-estimation framework where the number of target parameters is possibly much larger than the sample size. We extend Huber's results on asymptotic normality to this setting, demonstrating uniform asymptotic normality of the proposed estimators over rectangles, constructing simultaneous confidence bands on all of the target parameters, and establishing asymptotic validity of the bands uniformly over underlying approximately sparse models.
B ASED O N C OLOR F EATURES : C OLOR H ISTOGRAMS A ND C HROMATICITY M OMENTS

A collaborative system for cataloging sea turtles activity that supports picture/video content demands automated solutions for data classification and analysis. This work assumes that the color characteristics of the carapace are sufficient to classify each species of sea turtles, unlikely to the traditional method that classifies sea turtles manually based on the counting of their shell scales, and the shape of their head. Particularly, the aim of this study is to compare two features extraction techniques based on color, Color Histograms and Chromaticity Moments, combined with two classification methods, K-nearest neighbors (KNN) and Support Vector Machine (SVM), identifying which combination of techniques has a higher effectiveness rate for classifying the five species of sea turtles found along the Brazilian coast. The results showed that the combination using Chromaticity Moments with the KNN classifier presented quantitatively better results for most species of turtles with global accuracy value of 0.74 and accuracy of 100% for the Leatherback sea turtle, while the descriptor of Color Histograms proved to be less precise, independent of the classifier. This work demonstrate that is possible to use a statistical approach to assist the job of a specialist when identifying species of sea turtle.
Therapeutic Ultrasound: Physiological Role, Clinical Applications and Precautions

Background: Sound travels in waves that transport energy from one location to another. Ultrasound is the name given to sound waves that have frequencies greater than 20000Hz. It's too high pitched for human hearing, but many animals, such as dogs, cats and bats can hear ultrasound. As the ultrasound waves travel through tissues, they are partly transmitted to deeper structures, partly reflected back to the transducer as echoes, partly scattered, and partly transformed to heat. The amount of echo returned after hitting a tissue interface is determined by a tissue property called acoustic impedance which is an intrinsic physical property of a medium defined as the density of the medium times the velocity of ultrasound wave propagation in the medium. Physiologic effect of US: The thermal therapeutic ultrasound include increased tissue temperature, hyperdynamic tissue metabolism, increased local blood flow, increased extensibility of collagen fibers, and reduced viscosity of fluid elements in the tissue. The nonthermal mechanisms include ultrasonic cavitation, gas body activation and mechanical stress or frequency resonance nonthermal processes. Therapeutic effects of US: Therapeutic ultrasound is delivered in two modes; the continuous mode in which the delivery of ultrasound is non-stop throughout the treatment period and the pulsed mode in which the delivery of ultrasound is intermittently interrupted. Essential treatment parameters for therapeutic ultrasound include frequency, intensity, treatment mode, treatment time. Clinical applications: US in damaged muscle accelerates the repair process due to the decrease in the response and number of inflammatory cells and increases the proliferation and differentiation of muscle cell lines together with the formation of the connective tissue, improving mechanical resistance in the early stages. US is used also in chronic pain syndrome, tissue repair and wound healing and extra and intracorporeal shock wave lithotripsy. Cancer therapy: High-intensity focused ultrasound is a noninvasive therapy that makes entire coagulative necrosis of a tumor in deep tissue. HIFU ablation can destroy all proliferating tumor cells and their feeding blood vessels at the same time; this may break interdependent vicious cycle of tumor angiogenesis and tumor growth. Conclusion: Applications of ultrasound in medicine for therapeutic purposes have been an accepted and beneficial use of ultrasonic biological effects for many years. While therapeutic ultrasound is safe for treating many clinical conditions, it may cause substantial bioeffects and patients should be fully informed of possible benefits and risks.
Including College and Career Readiness Within a Multitiered Systems of Support Framework

Current practices of college and career readiness (CCR) emerged from within secondary school reform efforts. During a similar timeframe, evidence-based schoolwide interventions—positive behavioral interventions and supports (PBIS) and response to interventions (RTI)—were developed, first targeting elementary initiatives and then translated to secondary schools. We provide an overview of a recently established CCR framework underscoring both academic and nonacademic factors necessary for student success. To operationalize CCR approaches within secondary schools, an effort must be made to utilize existing interventions and strategies as well as data-informed efforts included within multitiered systems of support (MTSS). Therefore, we examine how CCR can be extended within secondary MTSS approaches and extend current methods by recommending measures aligning CCR elements within essential data-based decision making and fidelity of implementation tenets of MTSS. By embedding CCR within established MTSS approaches, improved post-school outcome for all students, including those with disabilities, can be achieved.
Annual variability in light modulation of bacterial heterotrophic activity in surface northwestern Mediterranean waters

The effect of photosynthetically available radiation (PAR; 400–700 nm) and ultraviolet radiation (UVR; 280–400 nm) on marine bacterial heterotrophic activity was assessed monthly throughout a seasonal cycle in Blanes Bay (northwestern Mediterranean Sea). Seawater samples amended with 3H‐leucine were exposed to solar radiation under three radiation treatments: PAR + UVR (280–700 nm), PAR + UVA (320–700 nm), and PAR only. Parallel reference incubations in the dark and under a fixed artificial light source (PAR only) were also performed. Exposure to high UVR doses caused strong inhibition of 3H‐leucine incorporation rates (LIR), whereas natural PAR doses did not cause overall significant effects. Within UVR, UVA radiation accounted for most of the reduction in LIR, and this effect was modulated by the proportionality of the experimental light to the previous light exposure history of the samples. Constant (artificial) PAR‐only exposure led to a general but seasonally variable increase in bacterial heterotrophic production compared to the dark controls, with large increases in spring and lower changes during summer. This pattern was likely caused by the stimulation of the bacterial group Gammaproteobacteria, which showed higher numbers of cells active in 3H‐leucine uptake after light exposure. Again, the previous light history of the samples seemed to partly explain the measured effects. Overall, our results show variable responses of bacterial activities to light manipulations, depending on seasonally changing light conditions and communities, and stress the importance of realistic simulation of light exposure conditions for ecosystem‐relevant photobiological studies with microbial plankton.
Detection of Local Temperature Change on HTS Cables via Time-Frequency Domain Reflectometry

High temperature superconducting (HTS) cables are drawing attention as transmission and distribution cables in future grid, and related researches on HTS cables have been conducted actively. As HTS cables have come to the demonstration stage, failures of cooling systems inducing quench phenomenon of the HTS cables have become significant. Several diagnosis of the HTS cables have been developed but there are still some limitations of the experimental setup. In this paper, a non-destructive diagnostic technique for the detection of the local temperature change point is proposed. Also, a simulation model of HTS cables with a local temperature change point is suggested to verify the proposed diagnosis. The performance of the diagnosis is checked by comparative analysis between the proposed simulation results and experiment results of a real-world HTS cable. It is expected that the suggested simulation model and diagnosis will contribute to the commercialization of HTS cables in the power grid.
Iterative Fourier Transform Algorithm Based on the Segmentation of Target Image for a High-Speed Binary Spatial Light Modulator

A digital micro-mirror device (DMD) has the potential to modulate an incident wave with high speed, and the application for holographic display has been studied by many researchers. However, the quality of reconstructed image isn't good in comparison with that from a gray-scale amplitude-only hologram since it is a binary amplitude-only spatial light modulator (SLM). In this paper, we suggest a method generating a set of binary holograms to improve the quality of the reconstructed image. Here, we are concerned with the case for which the object plane is positioned at the Fourier domain of the plane of the SLM. In this case, any point in the Fourier plane is related to all points in the hologram. So there is a chance to generate a set of binary holograms illuminated by incident wave with constant optical power. Moreover, we find an interesting fact that the quality of reconstructed image is improved when the spatial frequency bandwidth of the binary hologram is limited. Therefore, we propose an iterative segmentation algorithm generating a set of binary holograms that are designed to be illuminated by the wave with constant optical power. The feasibility of our method is experimentally confirmed with a DMD.