Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dignity of Burn Patients: A Qualitative Descriptive Study of Nurses and Caregivers

Background: The essence of nursing care is preservation of patients' human dignity. The aggressive nature of severe burn injuries makes it hard to respect burn patient's existential dimensions and dignity. However, not much research has been conducted on respect for the dignity of burn patients.Purpose: The present study aims to outline the concept of maintaining the dignity of burn patients from the perspective of their caregivers. Methods: The study has a descriptive, qualitative research design. Data were collected using semi-structured, in-depth, individual interviews. Data analysis was executed using conventional content analysis. The subjects were nurses and family caregivers from the biggest burns hospital in the south-east of Iran. The participants were selected via purposeful sampling (n=20) until data saturation was reached. The study lasted from October 2017 to August 2018. Results: Three main themes emerged from the information obtained from the interviews: creating a friendly atmosphere, showing respect, and providing comprehensive support.Conclusion: Burn patients need to receive care in a friendly atmosphere where they are looked after by empathetic caregivers who give enough time to them and allow them to express their feelings and concerns. Also, patients' human values and beliefs should be respected and all aspects of their existence should be taken into account for their dignity to be preserved. Workshops designed based on the findings of the present study can help improve the quality of nursing care.
Influence of Opportunity to Learn Indices and Education Status on Students’ Mathematics Achievement Growth

We examined instructional processes in classrooms where students with and without disabilities received mathematics instruction to understand the relationship among key instructional process variables and achievement as measured by interim and end-of-year summative assessments. Teachers (N = 78) completed instructional logs daily and administered easyCBM probes quarterly to 162 students with disabilities and 165 students without disabilities. Examination of instructional data indicated both groups of students had nearly equal opportunities to learn (OTLs) the same mathematics content, yet there were significant differences in these students’ mathematics achievement on interim and summative tests. Special education status and instructional practices were found to be significant predictors of achievement growth. Furthermore, grade level and special education status, along with OTL scores, accounted for significant variance in end-of-year mathematics scores. Discussion of results focuses on instructional practice implications and the role these practices play in achievement gaps.
A parallelogram four-frame model in 3-D motion and structure recovery using unified optical flow field approach

Title of Thesis: A Parallelogram. Four-Frame Model in 3-D Motion. Analysis and Structure Recovery Using Unified Optical Flow Field Approach Zhichun Lin, Master of Science in Electrical Engineering, 1991 Department, of Electrical and Computer Engineering Thesis directed by: Dr. Nirwan Ansari Assistant Professor Department of Electrical and Computer Engineering In this paper, a new concept of the unified optical flow field (DOFF) for 3-D motion analysis Iron . ) a stereo image sequence is implemented, which is an extension of the fundamental temporal optical flow formulations developed by Horn and Schunck A parallelogram four-frame model is established and a spatial optical flow is also introduced. In order to alleviate the problem of the strict requirement of two identical sensors in corn Mon stereo imagery, a new imaging system is presented this paper that needs only one camera, two plane mirrors and two switches to generate a. phase shifted binocular sequence of images. It. is shown that the structure and motion of the object surface can be reconstructed from the parallelogram four-frame image sequence. set if the information of the settings of the experiment, including tile focal length, the distance between two mirrors and the intersecting angle between two observing directions are known. Detailed computer simulations are presented and analyzed to illustrate the algorithm discussed. A Parallelogram Four-Frame Model in 3-D Motion and Structure Recovery Using Unified Optical Flow Field Approach
Analyzing flow Cytometry Data in Bioconductor

The advent of high throughput techniques has resulted in the generation of large flow cytometry (FCM) data sets. Along with the task of acquiring the data comes the task of storing, managing, quality control, data analysis and data summarization to a condensed form that can be interpreted by the researcher. Open source Bioconductor packages for analysis of flow cytometry data provides a unified framework for bioinformaticians to develop methods to analyze and interpret flow cytometry data. The packages relevant to flow cytometry include flowCore, flowViz, flowStats, flowQ, flowUtils, flowClust, flowFP, flowMeans and flowMerge.
Calculation of two-temperature thermodynamic and transport properties for argon , oxygen , nitrogen and air plasmas at atmospheric pressure

This paper deals with the calculation of two-temperature (2T) oxygen, nitrogen, air and argon plasma properties (compositions, thermodynamic properties and transport coefficients). 3 different techniques are developed and confronted to obtain the plasma composition: a steady-state collisional-radiative (CR) model, a transient kinetic model and a simplified model based upon a 2T mass action law. Thermodynamic properties are than calculated analytically and transport coefficients are obtained from recent theoretical developments.
NSLS-II BEAM POSITION MONITOR EMBEDDED PROCESSOR AND CONTROL SYSTEM *

The NSLS-II is a 3 Gev 3rd generation light source that is currently under construction. A sub-micron Digital Beam Position Monitor (DBPM) system consisting of hardware electronics, an embedded software processor and EPICS IOC has been successfully developed and tested in the ALS storage ring and BNL Lab.
G T ] 1 0 M ar 2 01 9 Robust Repeated Auctions under Heterogeneous Buyer Behavior

We study revenue optimization in a repeated auction between a single seller and a single buyer. Traditionally, the design of repeated auctions requires strong modeling assumptions about the bidder behavior, such as it being myopic, infinite lookahead, or some specific form of learning behavior. Is it possible to design mechanisms which are simultaneously optimal against a multitude of possible buyer behaviors? We answer this question by designing a simple statebased mechanism that is simultaneously approximately optimal against a k-lookahead buyer for all k, a buyer who is a no-regret learner, and a buyer who is a policy-regret learner. Against each type of buyer our mechanism attains a constant fraction of the optimal revenue attainable against that type of buyer. We complement our positive results with almost tight impossibility results, showing that the revenue approximation tradeoffs achieved by our mechanism for different lookahead attitudes are near-optimal. IEOR Department, Columbia University. sa3305@columbia.edu. EECS, Massachusetts Institute of Technology. costis@csail.mit. edu. Google Research, New York . mirrokni@google.com. Google Research, New York. balusivan@google.com.
An Attitude Estimation Method Based on Monocular Vision and Inertial Sensor Fusion for Indoor Navigation

The attitude of moving objects has a predictive function for navigation and positioning in a dim indoor environment. Currently, the accuracy of vision and inertial sensors’ attitude estimation is low, as it mainly affected by factors such as motion image blur, attitude angle processing algorithms, and data synchronization. Firstly, in this paper we propose a novel continuous multi-frame evaluation and registration algorithm to obtain high signal-to-noise ratio (SNR) images in regular indoor environments without global positioning system (GPS). The coordinates of vanishing points and plumb lines were extracted in the strong texture image. Then, a visual attitude model was constructed based on the characteristic points and lines. A pre-integrated gyro sensor was used to establish the inertial attitude model. The visual and gyro attitude models were used to obtain high-precision attitude information using multi-rate filtering. Finally, we build a hardware attachment composed of a consumer camera, an inexpensive inertial sensor and hardware circuit based on digital signal processing, which effectively demonstrates that the experiment result compares favourably with the more traditional methods.
Methods for Accelerating Machine Learning in High Performance Computing

Driven by massive dataset corpuses and advances and pro-grammability in accelerator architectures, such as GPUs and FPGAs, machine learning (ML) has delivered remarkable, human-like accuracy in tasks such as image recognition, machine translation and speech processing. Although ML has improved accuracy in selected human tasks, the time to train models can range from hours to weeks. Thus, accelerating model training is an important research challenge facing the ML field. This work reports on the current state in ML model training, both from an algorithmic and a systems perspective by investigating performance optimization techniques on heterogeneous computing systems. Opportunities in performance optimizations, based on parallelism and locality, are reported and sheds light on techniques to accelerate the learning process, with the goal of achieving on-the-fly learning in heterogeneous computing systems.
Multiphase environment of compact galactic nuclei: the role of the nuclear star cluster

We study the conditions for the onset of Thermal Instability in the innermost regions of compact galactic nuclei, where the properties of the interstellar environment are governed by the interplay of quasi-spherical accretion onto a supermassive black hole (SMBH) and the heating/cooling processes of gas in a dense nuclear star cluster. Stellar winds are the source of material for radiatively inefficient (quasi-spherical, non-magnetised) inflow/outflow onto the central SMBH, where a stagnation point develops within the Bondi type accretion. We study the local thermal equilibrium to determine the parameter space which allows cold and hot phases in mutual contact to co-exist. We include the effects of mechanical heating by stellar winds and radiative cooling/heating by the ambient field of the dense star cluster. We consider two examples: the Nuclear Star Cluster (NSC) in the Milky Way central region (including the gaseous Mini-spiral of Sgr~A*), and the Ultra-Compact Dwarf galaxy M60-UCD1. We find that the two systems behave in different ways because they are placed in different areas of parameter space in the instability diagram: gas temperature vs. dynamical ionization parameter. In the case of Sgr~A*, stellar heating prevents the spontaneous formation of cold clouds. The plasma from stellar winds joins the hot X-ray emitting phase and forms an outflow. In M60-UCD1 our model predicts spontaneous formation of cold clouds in the inner part of the galaxy. These cold clouds may survive since the cooling timescale is shorter than the inflow/outflow timescale.
Country Diagnostic Study on Long-Term Care in Thailand

This publication presents findings of a study on the availability and provision of long-term care (LTC) in Thailand, including the need for and supply of LTC, regulatory and policy frameworks, service provision, quality management, human resources, and financing. Analysis, conclusions, and recommendations for the development of LTC systems in Thailand are also included. It contributes to the development of an in-depth knowledge base on LTC policies, programs, and systems. It is one of six country diagnostic studies—the others on Indonesia, Mongolia, Sri Lanka, Tonga, and Viet Nam—prepared under the Asian Development Bank technical assistance 9111: Strengthening Developing Member Countries’ Capacity in Elderly Care.
Power and Signal-to-Noise Ratio Optimization in Mesh-Based Hybrid Optical Network-on-Chip using Semiconductor Optical Amplifiers

To address the performance bottleneck in metal-based interconnects, hybrid optical network-on-chip (HONoC) has emerged as a new alternative. However, as the size of the HONoC grows, insertion loss and crosstalk noise increase, leading to excessive laser source output power and performance degradation. Therefore, we propose a low-power scalable HONoC architecture by incorporating semiconductor optical amplifiers (SOAs). An SOA placement algorithm is developed considering insertion loss and crosstalk noise. Furthermore, we establish a worst-case crosstalk noise model of SOA-enabled HONoC and induce optimized SOA gains with respect to power consumption and performance, respectively. Extensive simulations for worst-case signal-to-noise ratio (SNR) and power consumption are conducted under various traffic patterns and different network sizes. Simulation results show that the proposed SOA-enabled HONoC architecture and the associated algorithm help sustain the performance as network size increases without additional laser source power.
Bioclimatic design of therapeutic gardens for children with Down syndrome

The research realized to design a bioclimatic garden with therapeutic purposes for children presenting Down syndrome is described. Vegetation characteristics and environmental conditions were the main elements studied in order to obtain comfort indices, and to evaluate the effect of these spaces for the development of cognitive skills, additionally to the therapies commonly used. The experimental period lasted six months, divided in five stages, during which the study groups were evaluated in three aspects: 1.Environmental conditions and vegetation preferences: Using surveys applied to subject groups, therapists and relatives. 2. Bioclimatic analysis, the physical environmental characteristics that impact thermal comfort. The variables considered were: air temperature, wind speed, heat index, humidity, surface temperature index and cloudiness. 3.Experimental stimulation and data analysis. It was analysed how the vegetation and environmental conditions influenced the development of cognitive skills, evaluating the abilities acquired with and without the experimental stimulation, using a control group. The results allowed determining the indices of outdoor thermal comfort for children with Down syndrome. Design guidelines were finally obtained for using colours, textures, or contrasts between shadow and light, among others. Therapeutic gardens could have a great effect as an adjunct treatment for people with Down syndrome.
Characterization of cumulus cloud fields using trajectories in the center of gravity versus water mass phase space: 1. Cloud tracking and phase space description

We study the evolution of warm convective cloud fields using large eddy simulations of continental and trade cumulus. Individual clouds are tracked a posteriori from formation to dissipation using a 3‐D cloud‐tracking algorithm, and results are presented in the phase space of center of gravity altitude versus cloud liquid water mass (CvM space). The CvM space is shown to contain rich information on cloud field characteristics, cloud morphology, and common cloud development pathways, together facilitating a comprehensive understanding of the cloud field. In this part we show how the meteorological (thermodynamic) conditions that determine the cloud properties are projected on the CvM phase space and how changes in the initial conditions affect the clouds' trajectories in this space. This part sets the stage for a detailed microphysical analysis that will be shown in part II.
A HOLISTIC LITERATURE REVIEW OF BUILDING INFORMATION MODELING FOR PREFABRICATED CONSTRUCTION

Building information modeling (BIM) and prefabricated construction (PC) are increasingly applied in the construction industry. Recent academic and industrial efforts indicated that the application of BIM and PC is a solution to reduce lifecycle costs, reduce waste, increase productivity and improve quality in construction. Although previous studies have advanced the integration of BIM and PC, extensive research scope and scattered research topics cannot form an overall picture of knowledge structure. Hence, this study aims to establish an up-to-date synthesis of the latest research on BIM for PC and identify the research gaps and future needs. First, a database with 103 journal articles on BIM for PC was established through data collection; second, a bibliometric analysis was applied to determine the top journals, articles and to map the latest mainstream research. Last, a qualitative analysis was used to determine the mainstream research areas and identify the research gaps and future needs. This study may contribute to enrich our body of knowledge on the use of the techniques in conjunction, help researchers and builders to understand the latest progress of BIM for PC research in timely fashion, and promote the integration of BIM with PC and other cutting-edge technologies moving forward.
ALS 3 and ALS 8 represent a single locus that encodes a Candida albicans adhesin ; functional comparisons between Als 3 p and Als 1 p

Received 26 November 2003 Revised 8 April 2004 Accepted 16 April 2004 The ALS (agglutinin-like sequence) gene family of Candida albicans encodes eight cell-surface glycoproteins, some of which are involved in adherence to host surfaces. A mutational analysis of each ALS gene is currently being performed to deduce the functions of the encoded proteins and to better understand the role of these proteins in C. albicans biology and pathogenesis. This paper describes construction of an als3/als3 mutant and comparison of its phenotype to an als1/als1 strain. Efforts to disrupt ALS3 indicated that the gene could be deleted in two transformation steps, suggesting that the gene is encoded by a single locus and that the ALS3-like locus, ALS8, does not exist. Strains lacking ALS3 or ALS1 did not exhibit a defect in germ tube formation when grown in RPMI 1640 medium, but the als1/als1 mutant formed significantly fewer germ tubes in Lee medium. Analysis of ALS3 and ALS1 promoter activity using green fluorescent protein (GFP) reporter strains and flow cytometry showed that when cells are placed into medium that promotes germ tube formation, ALS1 is transcribed prior to ALS3. Comparison of the mutant strains in adhesion assays showed that the als3/als3 strain was defective in adhesion to both human umbilical vein endothelial cells (HUVEC) and buccal epithelial cells (BEC), but not to fibronectin-coated plastic plates. In contrast, the als1/als1 strain showed decreased adherence to HUVEC, but adherence to BEC and fibronectin were the same as wild-type controls. Inoculation of the buccal reconstituted human epithelium (RHE) model of oral candidiasis with the mutant strains showed nearly a total lack of adhesion and epithelial destruction by the als3/als3 mutant while the als1/als1 strain showed only a slightly reduced degree of epithelial destruction compared to the wild-type control. Adhesion data presented here suggest that, in the assays performed, loss of Als3p affects C. albicans adhesion more than loss of Als1p. Collectively, these results demonstrate functional similarities and differences between Als1p and Als3p, and suggest the potential for more complex interrelationships between the ALS genes and their encoded proteins.
Research on a Laboratory Technique for Tire-Pavement Noise Assessment of Asphalt Mixes

Abstract Communication noise is classified as one of the pollutions for the current environment. Experimental techniques to measure tire-pavement noise generation from asphalt pavements in the laboratory have been limited. A series of experiments were conducted on six different asphalt mixtures to determine if Purdue University’s Tire-Pavement Test Apparatus (TPTA) could be used to overcome these limitations. The procedure produced samples with low tire-pavement noise; however, the air void contents of the samples were higher than designed. Despite these difficulties, the sample preparation technique and the TPTA testing protocol were shown to offer an effective approach for quick laboratory assessment of tire-pavement noise characteristics of hot mix asphalt pavements at a substantially reduced cost compared to field testing.
One-Shot 3D Body-Measurement (web-version)

In recent years, online shopping has become very popular. A well-known problem for online cloth-retailers is the high return rate. One main reason for this high return rate is the customers inability to know which size will fit. If customer and retailer would have a consistent definition of anthropometric measurements, the fit or size selection could be automatically executed. Existing approaches that automatically obtain accurate and reproducible anthropometric measurements are either based on expensive non-portable hardware, are complex to use, or require significant computational power. Therefore, we developed a measurement system which aims to eliminate these problems. Recent research in computer vision strongly relies on the use of Convolutional Neural Networks (CNNs). CNNs enable it to learn complex relations that can be evaluated with low computational effort. Therefore, we based our measurement pipeline on a cascade of different CNNs. To obtain anthropometric measurements using CNNs, we developed a data normalization strategy specifically for our pipeline. Using our measurement system, we were able to achieve a measurement accuracy comparable to specifically trained persons obtaining anthropometric measurements. The measurement pipeline we built was evaluated using synthetically generated human body models, which guarantees the reproducibility of all measurements.
Nitrogen, Carbon, and Noble Gases in Apollo Lunar Samples

A suite of five powdered lunar basalt samples have been analysed for nitrogen, carbon, helium, neon, and argon, using a high-sensitivity stepped combustion mass spectrometer system at the Open University, UK. Preliminary results indicate the presence of cosmogenic nitrogen and carbon, released in small amounts at high temperatures, as well as small amounts of cosmogenic neon and argon (mixed with a trapped non-cosmogenic component). Low temperature steps are dominated by contamination release, although 15555 displays an unusually abundant, isotopically light carbon component, released at 500 °C.
DEVELOPMENT OF THE MODEL OF A SELF EXCITED LOOP

As a first step towards development in digital domain, a computer model of a self excited loop (SEL) has been created using MATLAB/SIMULINK. The behaviour of a resonator and a power amplifier combination has been approximated using two first-order differential equations. The square of the amplitude of the RF field in the resonator acts as a driving force for the motion of mechanical modes of the resonator, which are individually represented as second order systems. A key element is the limiter, which has been modelled as a feedback loop, to achieve constant output amplitude. The model has been created in the I-Q domain for computational efficiency and close correspondence with actual implementation. To study the field stabilisation, proportional amplitude and phase feedback loops have been appended to the model of the SEL. In this paper we discuss the details of the model and results from simulation. Initial experimental results are also presented.