Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring contextual factors of the nurse-patient relationship: A qualitative study

Communication is an important aspect of nursing care and much of nurses’ duties such as providing physical care, emotional support, and exchanging of information with patients can not be performed without communication . The quality of care is improved through nurse-patient relationship. Nurse and patient relationship in clinical settings is influenced by multiple contextual factors which recognize them can improve the important role of nursing. This study aimed to explore the contextual factors influencing nurse and patient relationship. Materials and Methods: The study was performed by qualitative research approach. Participants were 17(8 nurses and 9 patients) in medical and surgical wards of Imam Khomeini hospital of Tehran university of medical sciences that selected by purposive sampling method. Data were gathered by interview (unstructured and semi-structured) and observation. Data analyzed by content analysis approach. Results: Three theme emerged form data analysis which influenced the nurse-patient relationship. Those were formative factors, continuative factors and deterrent factors. These themes were explained in detail in the main text of article. Conclusion: Findings showed that in spite of nurses’ positive attitude to communicate with patients and caring their needs, there were problems in nurse-patient communication that prevent from a patient-centered communication between nurses and patients Keywords: Patient care, Nursing, Patients, Nurses, Communication, Qualitative, Research
Energy Efficient Adaptive Power Allocation in OFDM-based Decode-and-forward Relay Link

Introducing relay to wireless networks results in severer energy consumption. The circuit power consumption of devices can not be neglected in energy efficient problem. In this paper, Orthogonal Frequency Division Multiplexing (OFDM)-based frequency-selective channel is considered in Decode-and-Forward (DF) relay link. An optimal allocation method is proposed, in which the transmit power in each hop is adaptively allocated to maximize the energy efficiency. The effects of the rate and power constraints on energy efficiency are also analyzed. Simulation results show that the proposed energy efficient power allocation method can achieve the highest energy efficiency while ensuring the high data rate.
Digital Commons @ East Tennessee State University Digital Commons @ East Tennessee State University Self-Efficacy in Newly-Hired Child Welfare Workers Self-Efficacy in Newly-Hired Child Welfare Workers

: Child abuse and neglect in the United States resulted in 676,569 reports in 2011 (U.S. Dept. of Health and Human Services, 2012). Workers in this field struggle with low pay, high caseloads, inadequate training and supervision, and risk of violence, all of which contribute to worker burnout and poor worker retention rates. Worker self-efficacy is predictive of worker retention, job performance, and persistence in this difficult field. This paper reports the development of a new measure of self-efficacy from a sample of 395 child welfare workers. Factor analysis revealed two domains of self-efficacy, direct practice and indirect practice, which can be modestly predicted by worker characteristics upon hire and the training program the workers attend. Worker self-efficacy can be used to identify vulnerable workers who may be especially in need of strong supervisory support as well as understand who to target for recruitment. A review of the literature of self-efficacy in child welfare workers is included.
Robots in the classroom: Learning to be a Good Tutor

To broaden the adoption and be more inclusive, robotic tutors need to tailor their behaviours to their audience. Traditional approaches, such as Bayesian Knowledge Tracing, try to adapt the content of lessons or the difficulty of tasks to the current estimated knowledge of the student. However, these variations only happen in a limited domain, predefined in advance, and are not able to tackle unexpected variation in a student's behaviours. We argue that robot adaptation needs to go beyond variations in preprogrammed behaviours and that robots should in effect learn online how to become better tutors. A study is currently being carried out to evaluate how human supervision can teach a robot to support child learning during an educational game using one implementation of this approach.
Light-neuron interactions: key to understanding the brain

In recent years, advances in light-based technology have driven an ongoing optical revolution in neuroscience. Synergistic technologies in laser microscopy, molecular biology, organic and synthetic chemistry, genetic engineering and materials science have allowed light to overcome the limitations of and to replace many conventional tools used by physiologists to record from and to manipulate single cells or whole cellular networks. Here we review the different optical techniques for stimulating neurons, influencing neuronal growth, manipulating neuronal structures and neurosurgery.
Conhecimento de estudantes de um curso de Enfermagem sobre aleitamento materno

OBJETIVO: Investigar los conocimientos de los estudiantes del 1o y 4o ano de un curso de Bachillerato en Enfermeria, sobre lactancia materna. METODOS: Estudio de abordaje cuantitativo, observacional, transversal y descriptivo desarrollado en una universidad publica del estado de Sao Paulo. El instrumento de recoleccion de datos contenia 25 preguntas, distribuidas en siete grupos. El analisis se fundamento en la estadistica descriptiva y Test de Mann-Whitney. RESULTADOS: Participaron en la investigacion 66 alumnos del 1o ano y 64 del 4o ano. El promedio de aciertos de los alumnos del 1o ano fue de 9,9 preguntas y del 4o ano fue de 17,8 preguntas (Test de Mann-Whitney: 35,1 vs. 96,8 [p<0,000]). En todos los grupos de preguntas los alumnos del 4o ano obtuvieron mayores scores. CONCLUSIONES: Se verifico la necesidad de mayores esfuerzos e incentivo para el aprovechamiento de otras oportunidades durante el pregrado, que posibiliten al alumno un mejor desempeno para actuar con confianza en la practica en pro del amamantamiento.
Reduced Coronary Flow Reserve of the Non-infarct Related Artery in Patients With Acute Myocardial Infarction Assessed by Transthoracic Doppler Echocardiography

Background. Coronary flow reserve (CFR) was decreased not only in the infarct-related artery, but also in the noninfarct-related arteries (NIRA) in patients with acute myocardial infarction (AMI). However, the clinical value of CFR in NIRA measured after successful percutaneous coronary intervention (PCI) has not been fully clarified. Methods. We studied 27 patients with inferior AMI (AMI group) and 18 patients with no evidence of coronary artery stenosis (control group). Coronary flow velocities in the left anterior descending coronary artery were recorded 1 week after PCI by transthoracic Doppler echocardiography at rest during hyperemia. Regional wall motion was analyzed by the wall motion score index (WMSI), calculated as an average of segmental scores in the RCA territory (R-WMSI) after
Implementation Data Mining using Decision Tree Method-Algorithm C4.5 for Postpartum Depression Diagnosis

Postpartum depression is a serious problem that needs to be addressed because it has negative effects on family, child welfare, cognitive, and mother child interactions. Diagnosis is done based on psychological condition, blood pressure, respiration, body temperature, and classification data extract by decision tree C4.5 algorithm method. Results of this study in the form of an online information system that can identify the level of depression more quickly and precisely. The results showed the greatest gain on the psychological variables of 0.57 node 1, blood pressure 0.54 node 2, body temperature 0,54 node 3, means that the three variables are more influential on the condition of depressed patients, and should be given priority treatment. Test results from 50 patients with 50 examinations showed 62% prevalence, 65.62% sensitivity, specificity 77.77%, negative predictive value of 56%, and positive predictive value 84%, and
Classical control theory for congestion avoidance in high-speed Internet

The explosive growth of the Internet with the ever-increasing demand for network bandwidth makes the issue of congestion control critical. In this paper, we use classical control theory to model the congestion control algorithm of the Internet's Transmission Control Protocol (TCP) and the Smith principle to design a new algorithm for congestion control for the high-speed Internet. The analysis provides a theoretical insight into the congestion control mechanisms of TCP, along with a method to modify and improve this mechanism in a way that is backward-compatible, The proposed control algorithm generalizes today's TCP congestion control algorithm using a generalized advertised window which is obtained by means of round-trip time measurements.
Preparation of a Dataset and Issues Related with Recognition of Optical Character in Assamese Script

According to the website ‘ethnologue.com’, which does a lot of survey and statistical analysis on languages, has mentioned that currently 7102 living languages are available on earth. Recent trend is that the number of living languages is always going down, which is becoming an alarming matter. An article published by UNESCO in 2009, says that most of the endangered languages belong to India. In this digital era, we can keep a language alive, if it can be highly used in computers; software applications with interface in regional language. In this context, researchers from this region are working for developing an Optical Character Recognition system that can digitize the optical image written in major North-East Indian language. As the characteristics of scripts vary from one another so are the challenges. Keeping in mind the need of the researcher, we have developed a novel offline dataset of Assamese Historical and Machine Printed as well as handwritten documents, which could be used for experimentation of various techniques for Assamese character recognition task. The dataset comprise of a variety of modern and old Assamese texts that are collected from a variety of sources, which can be broadly divided into Machine printed and Handwritten documents. Both good quality and degraded documents are available in the dataset. Many researchers are working for the development of an OCR system for Assamese script; however there are a lot of challenges that need to be addressed. Discussion of various issues related with degraded text, historical documents, handwritten Assamese text and machine printed texts with reference to the data sample available in the dataset are mentioned here. Problems related with segmentation of characters in touching characters, difficulty in determining compound character and touching character. Skewed document and how its variation makes line segmentation difficult. Heavily printed documents make feature extraction a complicated task. In the dataset we have pages with backside text visible, making the document a noisy one. Besides, all these inherent issues of character recognition, issues related with recognition of old Assamese script is also discussed in detail. This dataset will be of ample use and the issues we have discussed will certainly increase attraction of researchers working in this field. More research and innovation with digitization of Assamese documents, books and historical documents will definitely help sustainability of the language and the script as well.
A bee-inspired robot visual homing method

This paper presents a proposal for a visual homing algorithm inspired by the behaviours of social insects. The homing method presented is based on an affine motion model of which parameters are estimated by the best matching criteria. In the matching phase no attempts are made either to recognise objects or to extract 3D models of the scene. Hypotheses and perspectives about the use of single landmarks by bees are introduced. The tests and experimental results are presented.
Accomplishing Consummate Throughput with Delay and Power Control in MANET

Mobile Ad Hoc Network is a self-configuring, autonomous, infrastructure less network of movable nodes which will be automatically connected by wireless connection with no access point. The nodes are free to move anywhere in the set of connections and the topology of MANET remains unpredictable. The major complexity with the available two hop relay protocols in MANET environment is to achieve the optimized throughput with reduced packet delivery delay. A generalized collection based two-hop relay and redundancy of the packet is used to attain the reduced delay. The complex process of packet delivery in MANET utilizes Routine Response Control and Modified Markov chain model. Tuning carefully the parameters, the transmission range, the packet redundancy and the group size help to achieve the optimized throughput with the reduced packet delivery delay. Transmission power of a node is controlled which helps in achieving the optimized throughput and reduced delay.
A procedural model of language understanding

Much of the research on language is based on an attempt to separateit into distinct components-components that can then be studied independently. Modern syntactic theoreticians have been tremendously successful at setting up complex rules which describe in detail the possible orderings of syntactic constituents-at the same time other researchers are trying to define semantic relations and to model the cognitive structures underlying language use. Most attempts to model language understanding on the computer have followed this strategy of dealing with a single component of language. They are constructed primarily as a syntactic program (Kuno, 1965], a model of semantic connections (Schank, 1971), or an attempt to model the memory structures (Quillian 1967) Question-answering systems have had to deal with the entire language process but they have been severely limited in the breadth of their language ability The only attempt to handle large portions of language data was the machine translation and it soon became obvious that the methods were not up to the requirements of the task. Language translation could not be treated as a problem of rearranging syntactic structures and words, because attention to meaning was required even to achieve moderately acceptableresults. One basic limitation of those programs that have tried to handle the problems of meaning is that they have dealt almost exclusively with the understanding of single
Eating disorders, substance use disorders and major depression in the Canadian population

Background: Significant associations between eating disorders (ED) and each of substance use disorders (SUD) and major depression (MD) have been established. Aims: To examine the comorbidity of all three disorders in a large nationally representative sample of Canadian men and women. Methods: This research used data collected by Statistics Canada in cycle 1.2 of the Canadian Community Health Survey (20,211 women and 16,773 men). Results: MD fully mediated the relationship between ED and alcohol dependence and partially mediated their relationship with alcohol interference for both men and women. The multivariate comorbidity of MD and illicit drug use exhibited different patterns for men and women with eating disorders symptomatology. Conclusion: Findings support the importance of developing assessment instruments and treatment strategies that address the co-occurrence of ED, MD and SUD for both women and men. Findings also indicate that it might be beneficial for prevention programs to target depression.
Expatriate health‐care workers and maintenance of standards of practice factors affecting service delivery in Saudi Arabia

Although Western‐trained expatriate workers (WTEW) have been widely studied in the business management field, over the last 20 years health‐care professionals working abroad have not received a comparable level of attention. Very little is known concerning the issues and performance of the large numbers of allied health‐care workers (rehabilitation therapists, dietitians, laboratory technologists, etc.). This study focused on how Western‐trained allied health‐care professionals, working in Saudi Arabia, perceived their standards of practice to be affected by working abroad. The study found that worker demographics (e.g. country of training and length of time in the country), personal resources (e.g. membership in professional organisations), and employer‐ controlled features of employment (continuing education, access to a library, management support) potentially all played a role in maintaining standards. Recommendations for future study, based on these findings, conclude the paper.
Method and apparatus for speech recognition

A method and apparatus for speech recognition of the present application has a process to collate, with an input utterance, an acoustic model corresponding to a hypothesis to be expressed by the connection of utterance segments, such as phonemes or syllables, and developed according to a length of an input utterance by an inter-word connection rule thereby obtaining a recognition score. Within a word of the hypothesis, the similar hypotheses high in utterance score within a predetermined threshold from the maximum value of the score are all held to a word end irrespectively of the number of hypotheses. Meanwhile, at a word end of the hypotheses, the hypotheses are narrowed to a predetermined number of upper ranking in the order of higher score.
Online subjective testing for consumer-photo quality evaluation

Abstract. We take a look at crowdsourcing for subjective image quality evaluation using real image stimuli with nonsimulated distortions. Our aim is to scale the task of subjectively rating images while ensuring maximal data validity and accuracy. While previous work has begun to explore crowdsourcing for quality assessment, it has either used images that are not representative of popular consumer scenarios or used crowdsourcing to collect data without comparison to experiments in a controlled environment. Here, we address the challenges imposed by the highly variable online environment, using stimuli that are subtle and more complex than has traditionally been used in quality assessment experiments. In a series of experiments, we vary different design parameters and demonstrate how they impact the subjective responses obtained. Of the parameters examined are stimulus display mode, study length, stimulus habituation, and content homogeneity/heterogeneity. Our method was tested on a database that was rated in a laboratory test previously. Once our design parameters were chosen, we rated a database of consumer photographs and are making this data available to the research community.
Supplementary information : weighted tree kernels for sequence analysis

Genomic sequences are fundamentally text documents, admitting various representations according to need and tokenization. Gene expression depends crucially on binding of enzymes to the DNA sequence at small, poorly conserved binding sites, limiting the utility of standard pattern search. However, one may exploit the regular syntactic structure of the enzyme's component proteins and the corresponding binding sites, framing the problem as one of detecting grammatically correct genomic phrases. In this paper we propose new kernels based on weighted tree structures, traversing the paths within them to capture the features which underpin the task. Experimentally, we and that these kernels provide performance comparable with state of the art approaches for this problem, while offering significant computational advantages over earlier methods. The methods proposed may be applied to a broad range of sequence or tree-structured data in molecular biology and other domains.
Usability Engineering: Scenario-based Development of Human-Computer Interaction

Usability Engineering: Scenario-Based Development of Human-Computer Interaction is a radical departure from traditional books that emphasize theory and address experts. This book focuses on the realities of product development, showing how user interaction scenarios can make usability practices an integral part of interactive system development. As you'll learn, usability engineering is not the application of inflexible rules; it's a process of analysis, prototyping, and problem solving in which you evaluate tradeoffs, make reasoned decisions, and maximize the overall value of your product.
Five level GTO inverters for large induction motor drives

The use of a five-level GTO (gate turn-off thyristor) voltage sourced inverter for large induction motor drives is investigated. The advantages of such a drive are that single GTO thyristors may be used at each level, thereby avoiding the need for series connection of the thyristors. The thyristors are well protected from overvoltages by the clamping action of the DC supply capacitors. The disadvantages are that each DC level requires a separate supply, four in the case of the five level inverter, and the devices are not equally loaded. The authors review the basic operation of the five level inverter and possible PWM voltage/frequency control techniques for the specific application of induction motor drives. Simulation results clearly show the unequal loading of the devices and the need for independent voltage supplies for the five levels. It is shown that a combination of several PWM techniques offers the best solution for the drives application. It is found that large induction motors with ratings up to 22 MVA, 7.46 kV may be supplied by the five-level inverter using presently available 4.5 kV, 3.0 kA GTO thyristors. <<ETX>>
Optimization of concurrent queries in wireless sensor networks

The lessons learned so far from a variety of deployments of wireless sensor networks is that they are still expensive and complex systems to deploy, run, and maintain. One way to make sensor networks more cost effective is to support concurrent queries rather than a single static query from a single application as it is today the case in most systems and deployments. To this end, in this paper we describe how to perform multi-query optimization in wireless sensor networks. The optimizer we propose takes a constant stream of queries as input and dynamically determines what is the best execution plan (or small set of plans) to run at the sensors while still being able to answer (a potentially much larger set of) user queries. As queries arrive and depart, our optimizer tries to merge and split the queries to optimize the work done at the sensor level. It then processes the resulting streams to answer all running user queries. The paper discusses the data model, query operators, cost models, query optimization strategies, and data stream operators we use.