Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing Intent to Stay of Nursing Faculty in Selected Schools of Nursing in Sixteen States within the Southern Region

The current nursing faculty shortage makes understanding intent to stay a step toward slowing the exodus of faculty. A wealth of literature exists on reasons nursing faculty leave academia; however, little research exists on reasons nursing faculty stay. Therefore, the purpose of this study was to discover a parsimonious set of predictor variables for intent to stay in nursing education. An online survey was conducted over six weeks in the spring of 2006 using four instruments, Index of Job Satisfaction, Mentoring Scale, Organizational Commitment Questionnaire, and Leadership Behavior Description Questionnaire. A random cluster sample of schools of nursing in states within the Southern Regional Education Board (SREB) resulted in a sample of 39 nursing schools. In total, there were 316 responses from 782 potential participants; the response rate was 40.4%. Findings indicated that levels of job satisfaction and organizational commitment were within the range for normative means. Intent to Stay scores for one year and three years were high. Although scores were lower for intent to stay five years, there was more variability in scores. Job satisfaction had a significant positive correlation with Intent to Stay in one year and five years. Slightly over half, 55.7% (176), reported having a mentor; however, mentoring scores alone were not found to significantly predict intent to stay. Organizational commitment scores alone significantly predicted intent to stay one year and five years explaining 19.3% and 20.6% of the variance respectively. Mentored faculty scored significantly higher than non-mentored faculty on organizational commitment. Leadership behaviors measuring consideration significantly predicted intent to stay one year and five years, but explained a small amount of variance, 6.8% and 8.5%. Stepwise multiple regression results with all predictor variables indicated that organizational commitment explained 19.7% of the variance in intent to stay one year and 21.2% of the variance in intent to stay five years. There was not a significant prediction for intent to stay three years. Implications for policy and practice are discussed as are topics for future research.
Multi-scale and multi-spectral shape analysis: from 2d to 3d

Lai, Zhaoqiang, "Multi-scale and multi-spectral shape analysis: from 2d to 3d" (2011). Wayne State University Dissertations. Paper 355. DEDICATION To the memories of my grandfather. ii ACKNOWLEDGMENTS First and foremost, I would like to thank my advisor, Dr. Jing Hua, for his continuous support in the Ph.D. program. Dr. Jing Hua is an excellent role model for any young researcher to emulate. During my Ph.D. study in Wayne State University these years, he has tirelessly spent numerous hours with me discussing research, teaching me to write papers, and answering my questions. He has been available to me all the time whenever I needed his feedback. This dissertation would not haven been possible without him. for having insightful discussions with me. Last but not least, I deeply acknowledge the love and encouragement from my wife and my parents. I hope I have made them all proud. Figure 2.1: Edge {í µí±£ 0 , í µí±£ 1 } connects two faces Γ í µí»¼ , Γ í µí»½ , and two corners í µí»¼ , í µí»½ are against it. The edge weight í µí± {í µí±£ 0 ,í µí±£ 1 } is defined as the summation of the cotangents of these angles. Figure 3.1: Shape Vector Image. (a) shows the Igea (5002 vertices) surface and mesh; (b) and (c) show the mean curvature channel and conformal factor channel of the shape vector image representation of the Igea model; (d) is the composite shape vector image including both channels. Figure 3.4: Keypoint detection in the diffusion space. (a) The Igea model with all the detected keypoints at different scales indicated by the points of different colors and sizes. (b) All the detected keypoints shown on the curvature channel of the shape vector image. (c-e), (g-i) and (k-m) show the intermediate curvature channel images of the DoDs across scales í µí±¡ and the detected extrema (shown by points) on the corresponding DoDs at different scales. (f), (j) and (n) show again the extrema detected at (e), (i) and (m), respectively , with the different sizes of circles indicating the sizes of scales at which these extrema are Figure 3.5: A keypoint descriptor is generated by computing the gradient magnitude and orientation at every pixel around the keypoint (16 × 16 sample pixels). These samples are then accumulated into orientation histograms summarizing the contents over 4 × 4 subregions, indicated with thicker framed boxes. …
Can we Avoid the Unnecessary Loss of nephrons in the Management of Small Solid Renal Masses? Additional Clinical Parameters to Predict Benign-malign Distinction

Objectives: We aimed to investigate the predictive value of additional parameters for distinguishing benign-malign tumors and to prevent the loss of nephrons in small (≤4 cm) solid renal masses. Methods: The data of 56 patients underwent partial or radical nephrectomy between September 2009 and December 2017 due to diagnosis of localized renal cell carcinoma were retrospectively analyzed. Demographic datas, histopathological tumor types, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), red blood cell distribution width (RDW), mean platelet volume (MPV), the Framingham risk score and its components, postoperative follow-up results were recorded. Patients were divided into two groups as benign and malign. Results: Among 56 patients with a median age of 60 (min: 35-max: 74) years, 13 patients had benign and 43 patients had malign pathologies. MLR (p=0.011), NLR (p=0.032), PLR (p=0.006), MPV (p=0.025), eGFR (p=0.019) and the Framingham score (p=0.008) were significantly higher in malign group. Among the components constituting the Framingham score, only presence of smoking (p=0.032), presence of hypertension (p=0.041) and total cholesterol values (p=0.021) were significantly higher. In multivariate analysis, NLR>2.02 (OR: 7.184, p=0.037), PLR>109.65 (OR: 12.692, p=0.002), MPV>3.44 (OR: 10.543, p=0.046) and Framingham score >10.5 (OR: 12.287, p=0.007) were found as predictive factors for distinguishing small solid renal masses concerning malignancy. Conclusion: We think that NLR, PLR, MPV and the Framingham scores may be used in the clinical evaluation of small solid renal masses. In this way, we may prevent the unnecessary loss of nephrons in benign masses with suspicion of malignancy.
The V iability of Intralipid optical Phantom for Developing Noninvasive Blood G lucometer

This research article focuses on the critical analysis about the viability of Intralipid o ptical tissue resembling phantom s for developing noninvasive blood glucometer. Utilization of the intralipid phantoms in Photo - Acoustic Spectroscopy (PAS), Pulsed Photo - Acoustic (PA) Techniques, OCT (Optical Coherence Tomography), TOF (Time of Flight) base d Monte Carlo Simulations, Ultrasound - Modulated Optical Techniques, Polarization Techniques, Occlusion Spectroscopy, Raman Spectroscopy for noninva sive glucometer development has been discussed in this research article. Moreover, Standard Oral Glucose Tole rance Test (OGTT) conducted over 03 normal human subjects by our indigenously developed MUS - IR (Modulated Ultra Sound - Infra Red) unit for determination of blood glucose level s has been reported here . Actually, the blood plasma samples have been collected d uring the fasting stage of the subjects and every 30minutes after 75gm glucose consumption up to the total time period of 2hr and 30minutes. Blood plasma samples have been mixed with intralipid phantom samples and processed th r ough indigenously developed M US - IR unit for r espective sample glucose concentration determinations. Moreover, for cross validation of results obtained, readings have been compared with the findings of the Digital spectrophotometer respectively . Outcome of the results indicates intrali pid phantom samples serves as a feasible option in invitro experimentations for designing and developing noninvasive glucometer.
A qualitative study of emotional experiences during the pre-psychotic period

Psychosis typically emerges after a heterogeneous range of premonitory symptoms. This has been labelled the ‘pre-psychotic period’ (PPP). Emotional disturbances are prominent features of this state and have shown to be risk factors for psychosis. The present study had two interrelated aims: to explore in-depth the experiential nature of the emotional changes that occur during the PPP; and to examine whether there are similarities between these pre-psychotic emotional changes and the concept of delusional atmosphere. Twelve men experiencing first-episode psychosis with delusional thought content were recruited for the study. Information regarding their emotional experiences during the PPP was gathered using a semi-structured interview format. Corroborating information about observable changes in the men’s behaviour during the PPP was also gathered from a family member or friend of theirs who had close contact with them during this time. The data was analysed using interpretative phenomenological analysis. A variety of strong emotional changes were reported during the PPP, including depression, anxiety, anger, and guilt, as well as love and happiness. Negative emotions were prominent during this time, but positive emotions were also found to be a feature of this state for some people. Overall, the PPP was characterised by an increase in distress over time. Features of delusional atmosphere that were evident during the PPP included: experiences of derealisation and the environment feeling different; anxiety and confusion and a drive to find and explanation for the changes that were being experienced; and a sense of apprehension that something significant was about to happen. The relevance of these findings to researchers and clinicians working in this area is discussed.
Effects of the Pharmacological Pre-treatment and Global Brain Ischemia on the Body Temperature in Experimental Rats

Effects of the Pharmacological Pre-treatment and Global Brain Ischemia on the Body Temperature in Experimental Rats The aim of this study is to examine the influence of the pharmacologic pre-treatment and global brain ischemia on the one hand, and on the other hand, the influence of anaesthesia on the body temperature in experimental rats. The study involves 48 white female experimental rats (n=48), strain - Wistar, with body weight ranging from 230 g to 390 g, and age range of 3-5 months. The rats were divided into two groups. All of the rats were anesthetised and underwent various pharmacologic pre-treatments (with erythromycin and physiologic solution) and global brain ischemia with a reperfusion period. The obtained results demonstrate increased body temperature during the anaesthesia, a decrease during ischemia in both groups, and also a significant increase of the temperature 18 hours after the induced global brain ischemia. However, no significant temperature differences were registered between the groups. It can be concluded that the pre-treatment with a single dose of the macrolide antibiotic erythromycin does not cause any significant variations of the body temperature in experimental rats, and this under conditions of anaesthesia and global brain ischemia.
Connected speech recognition on a multiple processor pipeline

The authors report on efforts to put a connected speech recognition application on the MARS hardware accelerator. The beam-search algorithm chosen for this purpose was decomposed on a functional basis, not on a data-partitioning basis as in other attempts. This allows for easy synchronization and static load balancing. Further flexibility is provided by retaining the hierarchical structure of the speech graph. The implementation is being tested on a 1000-word vocabulary and preprocessed input data. <<ETX>>
Cloth Recommender System Based on Item Matching

Recommender systems have become an essential part in our life. Most social Websites use recommender systems to enhance user experience. In online shopping Websites such as Amazon, Clothing is one of the most popular domains, therefore a recommender is of great significance. Previous recommender systems were often focused on retrieving items based on user preference, i.e. similarity to the previous items purchased by the user. However, in Clothing domain, the matching relationships between candidate items and the previously purchased is also important for recommendation. For example, a user may want to buy a new jean rather than suit pants if he/she has just purchased a shirt. This kind of matching relationships also frequently occurs in other life contexts. In this paper, we aim to recommend new clothes that can better match the clothes purchased by a user. This new recommendation strategy would work better in the Clothing domain and complement the current recommendation literature. Experiment results show that our method can lead to better recommendation performance in the Clothing domain.
Studies on the basis for the properties of fibrin produced from fibrinogen-containing γ′ chains

Human fibrinogen 1 is homodimeric with respect to its γ chains (`γA-γA'), whereas fibrinogen 2 molecules each contain one γA (γA1-411V) and one γ′ chain, which differ by containing a unique C-terminal sequence from γ′408 to 427L that binds thrombin and factor XIII. We investigated the structural and functional features of these fibrins and made several observations. First, thrombin-treated fibrinogen 2 produced finer, more branched clot networks than did fibrin 1. These known differences in network structure were attributable to delayed release of fibrinopeptide (FP) A from fibrinogen 2 by thrombin, which in turn was likely caused by allosteric changes at the thrombin catalytic site induced by thrombin exosite 2 binding to the γ′ chains. Second, cross-linking of fibrin γ chains was virtually the same for both types of fibrin. Third, the acceleratory effect of fibrin on thrombin-mediated XIII activation was more prominent with fibrin 1 than with fibrin 2, and this was also attributable to allosteric changes at the catalytic site induced by thrombin binding to γ′ chains. Fourth, fibrinolysis of fibrin 2 was delayed compared with fibrin 1. Altogether, differences between the structure and function of fibrins 1 and 2 are attributable to the effects of thrombin binding to γ′ chains.
L'implication des tubules T dans la repolarisation ventriculaire chez la souris

Adult mouse ventricular myocytes display a well-developed T -tubular system that facilitates a rapid propagation of electrical excitation into the cell interior. Cardiac K+ channels, which play a major role in modulation of action potential duration and excitationcontraction coupling, could be localized in these structures. K+ currents and T -tubules architecture are modified during development as well as under certain pathological conditions, which suggestpotential association between T -tubules membrane system and K+ channels locations. The main objectives of our study were to determine if functional K+ channels were preferentially localized in T -tubules of adult mouse ventricular myocytes and to verify if overall augmentation of K+ channels expression during development is link: to T -tubules formation in mouse ventricular myocytes. Patch clamp, immunofluorescence and confocal microscopy were used to study consequences ofT-tubules localization for K+ channels in adult mouse ventricular myocytes. Double labeling with wheat germ agglutinin (WGA, plasma membrane and t-tubules marker) and specific antibodies for K+ channels (Kv1.5, Kv2.1, Kv4.2, Kv4.3 and Kir2.1) showed that functional K+ channels were localized in T -tubules. Electrophysiological studies performed in the presence of formamide, a substance which disrupt the link: between plasma membrane and T -tubules by an osmotic shock, showed smaller K+ currents suggesting that functional K+ channels are localized in T -tubules. Moreover, localization of different K+ channels, in newbom mouse ventric1e, has also been determined. Results showed that there is no co-Iocalization between K+ channelsand T-tubules in newbom mouse ventric1e myocyte, in which small K+ currents were recorded. Evaluation of T -tubules was performed in two left anterior heart failure models, adrenergic receptor alphalB overexpression and infarction by coronary ligation. No diminution of T -tubules or modification of the T -tubular architecture was observed.
Crack Path in Turbine Blades for Transition from Very- to High-Cycle-Fatigue Regime

Blades of the superalloy IN738 (CrMoTiAl LC) were tested on two cyclic stress levels, less and higher of the material fatigue limit. Fatigue cracking some blades took place on the second stage of the test at the blades airfoil base and in some distance from the base at the leading edge. Fractographic analyses have shown that in all sections crack origination was subsurface from inclusions because of sliding. This problem of the crack path has discussed and shown that the material state with high percent of inclusions caused earlier blades fatigue pre-cracking in very-high-cycle-fatigue regime during less level of cyclic loading. It has recommended and introduced new technology with less percent of inclusions for the superalloy that has increased its fatigue limit on 20% and fatigue cracking of blades have tested by the same program has seen on the second stage in the arifoil base section only.
Acúmulo de metais traço cobre (Cu) e zinco (Zn) em viveiros de cultivo de camarão (Litopenaeus vannamei)

LOPES, Danielle Vieira. Acumulo de metais traco cobre (Cu) e zinco (Zn) em viveiros de cultivo de camarao (Litopenaeus vannamei). 2006. 77 f. Dissertacao (Mestrado em Ciencias Marinhas Tropicais) - Instituto de Ciencias do Mar, Universidade Federal do Ceara, Fortaleza, 2006.
Real-time support for interactive multimedia applications

Emerging interactive multimedia applications, such as rea l-time visualizations, animations, on-line games, virtual reality, and video conf erencing have low latency interactions and continuous high resource ( e.g., CPU processing and network bandwidth) demands. The combination of latency sensit ive interactions and high resource demands is challenging for best-effort platf orms, such as the Internet, general-purpose operating systems and Web browsers be cause these platforms have no timing or resource guarantees and tend to favor high u tilization. When demands exceed available resources, it is impossible to proce ss all computations and data in a timely fashion resulting in diminished perceived q uality (e.g., frame rate) and brittle real-time performance. The mismatch between ap plication demands and available resources is observed to varying degrees in al l resources including network, processing, and storage. To deal with the volatility and shortage of resources, we bui ld pon and extend the Priority-Progress quality adaptation model. Our a pproach enables applications to scale demands (up or down) based on available reso urc s and to utilize the limited resources in processing the computations and da ta with more influence over perceived quality. We develop enhancement layers to improve timeliness and guarantee more consistent quality using quality ad apt tion while maintaining the strengths of the existing best-effort transpor ts and execution platforms. DOHA, our execution layer, extends the Priority-Progress C PU adaptation to work in games and across multiple execution threads. The modified game has better timing, higher perceived quality, and linearly scalable quali ty with a small number of cores. Our transport layer, Paceline, introduces low laten cy techniques over TCP and exposes Priority-Progress adaptation as an essential t ransport feature improving upon TCP’s end-to-end latency while preserving its fair ness and utilization.
A Novel Hierarchical Adaptive Controller with Dynamic Memory for an Autonomous Robot

This work concerns practical issues surrounding the application of learning and memory in a robot toward optimal navigation in dynamic environments. A novel hierarchical adaptive controller that contains two-level units was developed and trained in a physical mobile robot. In the low-level unit, the robot holds N numbers of biologically inspired Aplysia-like spiking neural networks that have the property of spike timedependent plasticity. Each of these networks is trained to become an expert in a particular local environment(s). All the trained networks are stored in a tree-type memory structure in the highlevel unit. These stored networks are used as experiences for the robot to enhance its navigation ability in the upcoming environments. Forgetting and dynamic clustering techniques are also developed to control the memory size. Experimental results show that the proposed model can produce a robot with learning and memorizing capabilities that enable it to survive in highly dynamic environments.
Atlas of EEG Patterns

Atlas of EEG Patterns by John M. Stern and Jerome Engel, 307 pp., Philadelphia, Lippincott Williams & Wilkins, 2005, $140 Diagnoses in medicine are made in a number of ways, with pattern recognition ( Augenblick , literally, “the blink of an eye”) serving as the strategy used by experts with extensive clinical experience. Novices must often develop exhaustive lists of differential diagnoses before arriving at a conclusion. Each approach has its advantages, and the Atlas of EEG Patterns draws on the strengths of both methods. The text is intended primarily for neurology trainees learning to read EEGs. Given the central role of pattern recognition in reading EEGs, this book teaches a useful and standardized approach …
Construction Programmes and Programming: A Critical Review

Purpose The purpose of the study is to explore the dominant ideas in research on the management of time in construction. The focus of research has been to improve techniques for optimising the timing and sequence of activities. Design/Methodology/Approach A critical review of research on construction time management, challenging the typical focus. We examine the assumptions different authors make, underline the limitations of the dominant research approaches and examine the prospects for developing a new approach to researching these issues. Findings The dominant approach in literature focuses on unique activity traits in construction planning and measurable patterns between time-related variables. This assumes that time in construction can be managed by changing the way activities are calculated. These approaches have not been correlated with improvement in performance. Social practice theory may help to explain how programmes figure as one of many objects used during construction. Research Limitations/Implications The focus is on reviewing indicative literature from key journals in construction management. The implication is that research is needed about how such documents are used in practice, which goes further than optimising plans in theory. Practical Implications Future research could focus on understanding the context of construction planning practice and shift the debate from a focus on optimisation to practice. Originality/Value An interpretivist approach with a focus on how tools such as planning documents are used on site. Social practice theory may provide a clearer explanation of the place of construction planning within the practice of construction management. This could provide solutions that deal effectively with stakeholder expectations around timely completion of construction projects.
Temperature monitoring in the intensive care unit

Close monitoring and management of temperature abnormalities are crucial in the critically ill to minimize the physiological and biochemical ill effects of extremes of temperature. In the intensive care unit, core temperature monitoring using either urinary, nasopharyngeal, or esophageal temperatures is recommended. One needs to be aware of the pitfalls and fallacies of other commonly used sites.