Miracle-dz/UniFAR-FTUs huggingface dataset:
Sygepleje i et stråleterapiafsnit — hvad med selvstændig sygepleje og omsorg?

Nursing in radiotherapy sections is strongly focused on the nursing assignment of giving the prescribed «solicitous and safe radiology treatment». Nursing acts related to this area are carefully documented in case reports, whereas ‘independent’ nursing acts and the care aspect of nursing are often absent from the documentation. The question is whether the paucity of documentation indicates a lack of independent nursing and care, or whether it merely takes place as a matter of course. To answer this question postcards and letters written by patients was analysed and interpreted. The analysis and interpretation show that a large degree of independence and care is being displayed. Nurses engage in professional relationships with patients and their families and are capable of transforming radiotherapy sessions into positive experiences. This is connected to the nurse's manner which was described in subcategories such as «smiling» and «acknowledging the other as a person» and related to patients' experience of the nurse as being «highly competent».
Quality Indicators of Blood Utilization in a Tertiary Care Centre in the North-Eastern India

Blood transfusion has become an essential part of patient management in modern medicine. Blood is a scarce resource and the blood needs still exeed its supply. Blood and blood components are frequently ordered and utilized without proper analysis of the real needs. Inappropriate ordering and use of blood can burden the physical and human resources of a health-care facility and increase the cost of medical care. Various strategies and quality indicators have been developed to monitor the justification of appropriateness and efficiency of transfusion therapy. The study was taken up to evaluate the utilization of blood and status of transfusion practice in a tertiary teaching hospital in the North-Eastern India. The quality indicators analysed were Cross-match to Transfusion ratio(C: T), Transfusion index(TI), Transfusion probability(%T), RBC-unit expiration rate, RBC-unit wastage rate and RBC concentrate (packed RBC) to Whole blood ratio( PRBC: WB). The results were within the acceptable limits as per other studies available in the literature. But the PRBC: WB ratio was lower than the WHO recommendation of 90: 10. Continuous monitoring will improve the blood transfusion services and will contribute towards shortening of demand- supply gap.
Características epidemiológicas de neumonía en las Unidades de Terapia Intensiva de San Luis Potosí

* Medico adscrito a la Unidad de Terapia Intensiva, Hospital General de Zona con Medicina Familiar No. 2 «Francisco Padron Puyou» (HGZ 2), Instituto Mexicano del Seguro Social (IMSS). † Medico adscrito Infectologia, Hospital Angeles Centro Medico del Potosi (CMP). ‡ Medico adscrito a la Unidad de Terapia Intensiva, Hospital General de Zona No. 50 (HGZ 50). § Medico adscrito a la Unidad de Terapia Intensiva, Hospital Angeles Centro Medico del Potosi (CMP).
Understanding Merge Trees with Force-Directed Landscapes

Topological methods for data analysis have proven to be useful in multiple contexts ranging from exploring molecular surfaces to understanding cyclones. While abstract topological representations are powerful, they are still yet to gain widespread popularity, because their interpretation requires background in algebraic topology and Morse theory. To this extent, multiple attempts have been made to provide user interfaces that convey topological information in an intuitive manner. In this work, we aim at improving the understanding of a topological abstraction called merge tree.
Estimates of Peak Electric Fields Induced by Transcranial Magnetic Stimulation in Pregnant Women as Patients or Operators Using an FEM Full-Body Model -- Brain and Human Body Modeling: Computational Human Modeling at EMBC 2018

Recent studies confirm the efficacy of transcranial magnetic stimulation (TMS) as a noninvasive treatment of medication-resistant depression [1, 2]. Four different devices, the Neuronetics Neurostar Stimulator, Brainsway H-Coil system, Magstim Magnetic Stimulator, and MagVenture Stimulator, have been cleared by the U.S. Food and Drug Administration (FDA) for the treatment of medication-resistant depression [3, 4]. Even though TMS coil holders, and even robots, have been developed that might make the application of TMS more spatially precise and efficient, to date, TMS is often applied by an operator who manually positions and retains the TMS coil over the subject’s head. A potential safety concern is thus generated when the operator is a woman and is pregnant. There are no studies to date that assess the safety of TMS
Forecasting Student Graduation With Classification And Regression Tree (CART) Algorithm

Forecasting Student Graduation with Classification And Regression Tree (CART) Algorithm aims to predict students’ graduation in Computer Science Departement of Pakuan University. The method used is the CART Algorithm where this method works by forming a decision tree that can infer the rules of a particular classification of the decision tree. The results of this study resulted ouput in the form of decision trees and determine the students with predetermined criteria are classified in categories such as pass on time or pass not on time. Assessment of the accuracy of the data classification that has been done using confusion matrix validation technique. Once calculated with the matrix, the accuracy rate reached 77.5% in the training data.
Unsupervised Learning-Based Pipe Leak Detection using Deep Auto-Encoder

In this paper, we propose a deep auto-encoder-based pipe leak detection (PLD) technique from time-series acoustic data collected by microphone sensor nodes. The key idea of the proposed technique is to learn representative features of the leak-free state using leak-free time-series acoustic data and the deep auto-encoder. The proposed technique can be used to create a PLD model that detects leaks in the pipeline in an unsupervised learning manner. This means that we only use leak-free data without labeling while training the deep auto-encoder. In addition, when compared to the previous supervised learning-based PLD method that uses image features, this technique does not require complex preprocessing of time-series acoustic data owing to the unsupervised feature extraction scheme. The experimental results show that the proposed PLD method using the deep auto-encoder can provide reliable PLD accuracy even considering unsupervised learning-based feature extraction
Corporate website evaluation using partial least squares path modelling

Almost all businesses and organizations use the World Wide Web in the form of corporate websites. In today’s highly innovative and competitive environment, the level of corporate internet presentations is one of the key success factors. Approaches to corporate website evaluation are very variable. To the best knowledge of the authors, there is no universally accepted and recommended methodology of corporate website evaluation that could be, without any caveats, used in conditions of Slovak small and medium-sized enterprises. The aim of the paper is to fill this gap and propose a methodology tailored to evaluation of websites of Slovak small and medium-sized enterprises. The proposed methodology builds on the previous work of the authors and its core element is a model fitted using partial least squares path modeling.
A CMOS 76–81-GHz 2-TX 3-RX FMCW Radar Transceiver Based on Mixed-Mode PLL Chirp Generator

A fully integrated 76–81-GHz frequency-modulated, continuous-wave (FMCW) radar transceiver (TRX) in a 65-nm CMOS is presented. Two transmitters (TXs) and three receivers (RXs) are integrated for multiple-input multiple-output (MIMO) processing. A 38.5-GHz mixed-mode phase-locked loop (PLL) with reconfigurable loop bandwidth and a frequency doubling scheme are employed to generate the reconfigurable FMCW chirp waveforms. The coarse-to-fine-segmented current DAC is utilized to support sawtooth FMCW chirps with fast frequency ramping-down capability, and the delay lock loop (DLL)-based delay time calibration is used to improve the linearity of the embedded 2-D Vernier time-to-digital converter (TDC). Passive voltage-mode down-conversion is utilized to improve the RX linearity against TX leakage and short-range interference. A bottom-switching Gilbert-type modulator in the TX is proposed to realize the bi-phase modulation, and the magnetically coupled resonator technique is used to effectively expand the link bandwidth. The measurement results show that the FMCW TRX could generate reconfigurable chirps with the bandwidth from 250 MHz to 4 GHz and the period from 30 $\mu \text{s}$ to 10 ms. The root-mean-square (rms) frequency error is 110 kHz for a sawtooth chirp with 4-GHz bandwidth and 300- $\mu \text{s}$ period. The TX maximum output power is 13.4 dBm and is adjustable within 3 dB by reconfiguring its low dropout regulator (LDO) voltage. The RX achieves a 15.3-dB noise figure at 600-kHz IF and a −8.5-dBm RF input-referred P1dB. The overall power consumption is 921 mW, with two TXs and three RXs powered ON. Based on the proposed TRX chip, prototype hardware and a data process algorithm are developed. Real-time experimental results show that the distance and the angular resolution of the MIMO radar achieved are 5 cm and 9°, respectively.
Different Compartments, Different Operation: A Comparison of the Technique and Indications for Medial and Lateral Unicondylar Knee Arthroplasty

Unicondylar knee arthroplasty (UKA) still polarizes and this even more when its indications and outcome for treatment of lateral osteoarthritis are discussed. Experience seems to be a key factor for success with this intervention. But this experience is hard to gather for a technique, indications of which are relatively scarce. Experience with medial UKA may help to achieve favorable outcome with treatment of the lateral compartment. However, not all the principles that apply for the medial side may easily be transferable to the lateral compartment. This article wants to highlight why lateral UKA may be challenging and aims to serve as a guide to secure indication and operation technique. The differences of lateral UKA in comparison with medial UKA will be presented and discussed. Moreover, the most recent technical developments will be presented. Navigation, patient-matched cutting blocks, patient-matched implants, and modern robotics were all designed to make the outcome of this procedure more predictable. Their application in practice will be presented and their potential to facilitate this procedure and to add to a secure outcome will be discussed in detail.
Common Mechanisms Underlying Opioid Tolerance and Dependence and Neuropathic Pain: Role of Metabotropic Glutamate Receptors

It has been suggested that opioid tolerance and dependence share common mechanisms with neuropathic pain. This short review deals with the role of glutamate and glutamate receptors in opioid tolerance and dependence, and neuropathic pain. Particular attention is given to the role of metabotropic glutamate receptors (mGluRs). First, the different types of glutamate receptors, which include N-methyl-D-aspartate, alpha-amino-3-hydroxyl-5-methyl- isoxazole-4-propionic acid, kainate and mGluRs, are described. Following this, evidence suggesting that these receptors are involved in opioid tolerance and dependence are summarized. At the end of this section, a model that has been previously proposed to explain mechanisms by which mGluRs may be involved in opioid tolerance and dependence are described. Next is a discussion of the evidence suggesting that glutamate receptors are similarly involved in neuropathic pain, and also in opioid sensitivity associated with neuropathic pain. Again, a hypothetical model used to explain mechanisms by which mGluRs may be involved in neuropathic pain is briefly described. The relevance of the data is discussed in terms of some of the clinical implications of the material presented in the article.
Standards et concurrence dans les technologies de communication

Le terme « bien réseau » désigne des biens dont la valeur pour les utilisateurs augmente avec leur nombre. Ces biens sont caractérisés par une externalité de réseau ; la présence d’un utilisateur supplémentaire bénéficie à toute la communauté des utilisateurs. L’externalité de réseau peut être directe quand les utilisateurs valorisent explicitement la présence d’autres utilisateurs. C’est le cas dans les « systèmes de communication » où l’augmentation du nombre d’utilisateurs multiplie les possibilités de communiquer. L’externalité peut aussi être indirecte. Dans ce cas, ce n’est pas la présence d’autres utilisateurs qui est directement valorisée mais la présence de biens complémentaires. C’est par exemple le cas des « biens systèmes » comme un système d’exploitation (OS) pour lequel les utilisateurs accordent de l’importance au nombre de programmes et d’applications compatibles. Cependant, le nombre de biens complémentaires dépend du nombre d’utilisateurs et donc, de manière indirecte, un plus grand nombre d’utilisateurs fait augmenter la valeur du bien.
Group Recommenders System Using Hybrid Filtering for Tourism Domain

Group recommenders system is built to overcome the different needs that exist in each of the tour group members in determining tourist destinations. This is because everyone has different desires in determining the constraints of tourist destinations, such as costs and tourist categories. This recommendation process is based on a combination of profiles of each member to produce a tourist destination that can fulfill their needs. This paper uses hybrid filtering which is a combination of collaborative filtering and knowledge-based filtering. Because the two methods have their own shortcomings. The collaborative method has a deficiency of tourist items that have never been rated by a user before, so the item cannot be recommended for active users. While in knowledge-based, tourist items must be completely described in detail so that they can be recommended to users. Domain used in this research is Bandung Raya area. The results of the evaluation in this study, users tend to feel very satisfied for the results of group travel recommendations generated the application. As for the evaluation of the recommendation algorithm, users prefer the results of the recommendations produced by collaborative and hybrid methods.
Improving the Performance of Multi-Mode SM4 Block Cipher

In this paper, a low-cost multi-mode hardware architecture is proposed for data confidentiality of resource-constrained IoT (Internet of things) devices. The proposed architecture adopts resource sharing technologies to reduce the number of s-boxes, eliminate memory requirement of expanded keys, and realize flexible reconfigurability of various operation modes. The FPGA implementation results show that only 1,326 LUTs and 1,000 registers are needed at 50MHz. Compared with related works, resource costs are reduced significantly
Seroprevalence of Antibodies to HPV L1 in a Limited Population study determined by the GST-capture ELISA

Human papillomavirus (HPV) infection elicits an antibody response in most individuals, mainly to L1-the major capsid protein of the virus. The Glutathione S-Transferase (GST) capture ELISA was evaluated in a limited population study (n=187 women donors) for its suitability in determining the seroprevalence of antibodies specific to L1 of five high-risk HPV genotypes (16, 18, 31, 45 and 52). Serum samples were obtained from some of the hospital-visiting women aged between 18–60 years with an unknown history and/or status of infection. Most samples (42%) showed sero-positivity to HPV 45 (80/187) followed by sero-positivity to HPV 16 (32%), 18 (16.5%), 52 (10%) and a single (0.5%) positive sample for HPV 31. There was significant cross-reactivity in the samples across the assayed genotypes. The results suggest that the GST-capture ELISA might serve as an efficient alternative to VLP-ELISA in sero-epidemiological studies especially in the large-scale, preliminary, screening of individuals hitherto untested for HPV infection.
The Impact of an Intelligent Tutoring System in Programming: A Case Study in Improving Academic Performance of Student in Tertiary Education

The Philippine education system’s problem is the increasing number of growing students similar to the global population growth. These compel lecturers utilized a computer program that represents the information and provides interaction with students like the Intelligent Tutoring System whose instructional aims are aligned to the academic usefulness toward students having different levels, capabilities and interests. The objective of this study is to investigate the impact of Intelligent Tutoring System in the students’ academic performance and, determine the significant difference among the control and experimental group in terms of academic performance, analytical skills, problem-solving and perceived use of the portal. The performance assessment which served as data collection tool was administered for both the control and experimental group. Data obtained from the control and experimental groups were analyzed to test the research hypotheses. Results of the analysis revealed that there is significant difference between the experimental groups. The arithmetic means derived from the experimental group, the one that received instruction through the Intelligent Tutoring System, affect the academic performance. Based on the findings, the performance level of the experimental group was greater than that of the control group.
Cloud Security: LKM and Optimal Fuzzy System for Intrusion Detection in Cloud Environment

Abstract In cloud security, intrusion detection system (IDS) is one of the challenging research areas. In a cloud environment, security incidents such as denial of service, scanning, malware code injection, virus, worm, and password cracking are getting usual. These attacks surely affect the company and may develop a financial loss if not distinguished in time. Therefore, securing the cloud from these types of attack is very much needed. To discover the problem, this paper suggests a novel IDS established on a combination of a leader-based k-means clustering (LKM), optimal fuzzy logic system. Here, at first, the input dataset is grouped into clusters with the use of LKM. Then, cluster data are afforded to the fuzzy logic system (FLS). Here, normal and abnormal data are inquired by the FLS, while FLS training is done by the grey wolf optimization algorithm through maximizing the rules. The clouds simulator and NSL-Knowledge Discovery and DataBase (KDD) Cup 99 dataset are applied to inquire about the suggested method. Precision, recall, and F-measure are conceived as evaluation criteria. The obtained results have denoted the superiority of the suggested method in comparison with other methods.
Development of a flexible large-area array based on printed polymer transducers for mid-air haptic feedback

Ultrasound based mid-air haptic feedback devices can produce tactile sensations at any time and position without restricting human motion. This is useful for augmented and virtual reality, feedback buttons and virtual user interfaces. The haptic feedback mechanism is caused by acoustic radiation force and streaming. Typical solutions to induce haptic feedback reported in literature use arrays made up of ‘standard’ single element transducers and are heavy, rigid and bulky. A novel alternative uses printed polymer transducers (PPTs), which consist of piezomembranes created using a printing process. PPTs are light, fully flexible, have a thickness < 0.25 mm and can easily be integrated in curved surfaces. However, as the piezoelectric charge coefficients of P(VDF-TrFE) are lower than those of regular PZT5A/H, higher excitation Voltages are needed to achieve the sound pressures required for haptic feedback. In this work we report on the development of flexible large-area arrays based on PPTs for mid-air haptic feedback. Simulations and experimental results of test membranes and a 300+ membrane annular array prototype are presented. Extrapolating the results of the aforementioned array, the full size array is expected to produce radiation forces an order of magnitude above the tactile threshold reported in literature.Ultrasound based mid-air haptic feedback devices can produce tactile sensations at any time and position without restricting human motion. This is useful for augmented and virtual reality, feedback buttons and virtual user interfaces. The haptic feedback mechanism is caused by acoustic radiation force and streaming. Typical solutions to induce haptic feedback reported in literature use arrays made up of ‘standard’ single element transducers and are heavy, rigid and bulky. A novel alternative uses printed polymer transducers (PPTs), which consist of piezomembranes created using a printing process. PPTs are light, fully flexible, have a thickness < 0.25 mm and can easily be integrated in curved surfaces. However, as the piezoelectric charge coefficients of P(VDF-TrFE) are lower than those of regular PZT5A/H, higher excitation Voltages are needed to achieve the sound pressures required for haptic feedback. In this work we report on the development of flexible large-area arrays based on PPTs for mid-air hapti.
A bag of features approach for human attribute analysis on face images

Computer Vision researchers are constantly challenged with questions that are motivated by real applications. One of these questions is whether a computer program could distinguish groups of people based on their geographical ancestry, using only frontal images of their faces. The advances in this research area in the last ten years show that the answer to that question is affirmative. Several papers address this problem by applying methods such as Local Binary Patterns (LBP), raw pixel values, Principal or Independent Component Analysis (PCA/ICA), Gabor filters, Biologically Inspired Features (BIF), and more recently, Convolution Neural Networks (CNN). In this work we propose to combine the Bag-of-Visual-Words model with new dictionary learning techniques and a new spatial structure approach for image features. An extensive set of experiments has been performed using two of the largest face image databases available (MORPH-II and FERET), reaching very competitive results for gender and ethnicity recognition, while using a considerable small set of images for training.
Analysis of Students Performance using Modified K-Means Algorithm (Machine Learning Techniques)

: Machine Learning is a field that is used in every system. Machine learning is used in educational system, In pattern recognition, Games, Industries.In education system its importance becomes more because of the future of the students. Education data mining is very usefuldisciplines, because the amount of data in education system is increasing day by day . in higher education is relatively new but its importance increases because of increasing database. There are many approach for measuring students’ performance . K-means is one of most efficient and used method . With the help of data mining the hidden information in the database is get out which help for improvement of students’ performance. Decision tree is also a method used to predict the students’ performance.In recent years, the biggest challenges that Educational institutions are facing the more growth of data and to use this data to improve the quality so it can take better decisions.Clustering is one of the basic techniques often used in analyzing data sets. This study makes use of cluster analysis to segment students in to groups according to their characteristics.Unsupervised algorithm like K-means is discussed. Education data mining is used to study the data available in education field to bring the hidden data i.e. important and useful information from it. With the help of these it is easy to improve the result and future of students.