Miracle-dz/UniFAR-FTUs huggingface dataset:
Bundle‐Branch Block with Short P‐R Interval in Healthy Young People Prone to Paroxysmal Tachycardia

Aberrant ventricular complexes of the type generally recognized as indicating bundle-branch block were first produced by Eppinger and Rothberger,3,4 by the experimental division of the right branch of the His bundle. Eppinger and Stoerk5 observed similar curves in five patients, and at autopsy demonstrated division of the right branch of the His bundle in two of these. The work of Cohn and Lewis,2 and of Carter1 indicated, however, that gross lesions of the main branches are not invariably found at autopsy in patients who during life present this type of electrocardiogram. Following these original contributions to the subject, bundle-branch block curves have been observed as a temporary sign during infections, congestive failure, coronary thrombosis, tachycardias, and various toxic states. In most if not in all of the reported cases the abnormal curves occurred in patients with definite structural heart disease, or with extreme tachycardia. The references already cited1,2 indicate that the type of electrocardiogram under discussion may be obtained in the absence of gross division of a bundle branch. Experimentally, bundle-branch block curves may be obtained in normal hearts by causing an impulse to enter one bundle branch later than the other. The same result would be produced should the impulse travel through the bundle branches at different speeds or by an aberrant course. That such a mechanism may occur in human beings with normal hearts seems likely from a study of the cases described in the present paper, the presumption being that vagal stimulation may, in certain individuals, give rise to aberrant ventricular complexes. We have observed the occurrence of bundlebranch block curves in healthy young adults and children with apparently normal hearts. The curves may be typically those of complete right or left bundle-branch block, or of intermediate or lesser grades of aberration. Spontaneously, or following release of vagal tone by exercise or atropinization, there is a transition from aberrant ventricular complexes to perfectly normal ones. Coincident with the change to normal ventricular complexes, the P-R interval increases from an unusually short one (never greater than 0.1 second) to one of normal length, frequently almost doubling itself. In other words release of vagal tone is accompanied by a lengthening of the P-R interval; this paradoxical vagal effect is of considerable interest; its mechanism is obscure. Another feature observed in these patients is the occurrence of paroxysmal tachycardia, or paroxysmal fibrillation or perhaps flutter. The phenomena just mentioned have been present more or less consistently in all of our patients. The combination constitutes a type of rhythm, or mechanism, which has not yet been described as such; it is probably not rare. Considerable importance attaches to the recognition that bundle-branch block curves do not always indicate organic heart disease. The case with which such cases may be recognized will be apparent from the description of our cases.
Segregation of MRI brain image using hybrid evolutionary clustering algorithm

The present research is on computer-aided classification of the magnetic resonance brain images. The method proposed congregates on colour-converted hybrid clustering segmentation algorithm with hybrid feature selection approach based on Information Gain and Sequential Forward Floating Search (IGSFFS) and Multi-Class Support Vector Machine (MC-SVM) classifier technique to segregate the magnetic resonance brain images into three categories namely normal, benign and malignant. The present research acknowledges the colour-converted segmentation by new hybrid evolutionary clustering algorithm which is the mixture of weighted firefly and K-means algorithm to overcome local optima problems in firefly algorithm. Further random cluster initialisation is also modelled. The results of the simulation show that the performance of the proposed algorithm has better segmentation accuracy than the other algorithms such as colour-converted PSO-K-means and K-means clustering algorithm. The performance of the method is evaluated using classification accuracy, sensitivity, specificity and Receiver Operating Characteristic (ROC) curves. The results show that the highest classification accuracy of greater than 98% is obtained for the proposed diagnostic model, and this is very promising compared to the previously reported results.
Parental and Clinical Perception of Informed Consent in Neonatal Research

D. Abstract Objectives: To systematically explore the perceptions parents and clinicians have of the informed consent process in neonatal research. Methods: A comprehensive literature review of peer reviewed studies, all of which are related to the topic of this dissertation. Additionally, an original questionnaire based study was conducted. The study recruited parents of newborn infants who had been an inpatient of the Neonatal Intensive Care Unit of the Cork University Maternity Hospital and clinicians currently employed in either a paediatric or neonatal setting. Results: Parent perception of informed consent in neonatal research is a relatively well studied area. Parents have a lack of understating of certain study procedures including the element of randomisation. 72% of clinicians believe approaching parents antenatally with information about a neonatal study leads to a greater uptake in consent and 57% of parents stated a preference to being approached with information prior to the birth of their baby. Parents expressed confusion to some content in the consent forms and junior clinicians expressed a lack of understanding of good clinical practice. Parental vulnerability during the informed consent process was highlighted. Discussion/conclusion: Parents are generally supportive of neonatal research. They are aware of their vulnerability during the neonatal period. They take part in neonatal studies for altruistic reasons such as helping babies of the future and stressed the importance of protecting parents in a similar situation. There is a need for increased consultant support during the informed consent process for parents and junior clinicians. It is essential junior clinicians receive training in the acquisition of informed consent from senior colleagues. The establishment of consenting guidelines for junior doctors to assist them during in the informed consent process is recommended. There is a need for further research to be completed in this complex legal and ethical area to ensure valid, informed consent is obtained and to enhance the consenting experience for this vulnerable cohort.
MAPEAMENTO DE RUAS COM UM SISTEMA MÓVEL DE MAPEAMENTO DIGITAL

Os sistemas móveis de mapeamento integram sensores e metodologia de modo a produzir uma posição espacial de qualquer detalhe na ou próximo à superfície terrestre. Isto significa um conjunto de equipamentos, consideravelmente caros, tais como câmaras digitais, receptores GPS (Global Positioning System), plataformas inerciais, entre outros, de tal modo que quando juntos podem produzir imagens georreferenciadas e coordenadas espaciais de qualquer atributo. Uma seqÃ¼ência de imagens terrestres foi formada por imagens digitais consecutivas tomadas de bases que foram movidas ao longo do eixo principal de ruas. Este procedimento foi feito depois de montadas as vídeo câmaras no topo de um veículo Kombi para tomar as imagens dos arruamentos. A orientação do sensor foi obtida por meio da integração GPS (posicionamento dos centros perspectivos) e fototriangulação (atitude das câmaras). Este artigo apresenta os conceitos e problemas dos sistemas relacionados à tecnologia de mapeamento móvel e apresenta os primeiros resultados produzidos por um protótipo em desenvolvimento num projeto de mapeamento de ruas na escala 1:2000. Testes estatísticos mostraram que a acurácia do mapa foi aceitável e o erro padrão ficou em torno de 1,0 mm na escala do mapa.
Hot-carrier reliability in submicron pMOSFETs

Degradation of device characteristics due to hot-carrier injection in submicron pMOSFETs (p-metal-oxide-semiconductor field-effect transistors) is discussed. pMOSFETs suffer significantly from enhanced device degradation in the submicron range due to the hot-electron-induced-punchthrough (HEIP) effect, the swapped pulse stress, and the gate-induced drain leakage current. As a result, the hot-carrier lifetime of pMOSFETs becomes shorter than that of LDD (lightly doped drain) nMOSFETs. Therefore, use of the LDD structure is essential in submicron pMOSFETs at 50 V supply voltage. The use of surface-channel pMOSFETs with p/sup +/ poly gate would mitigate the hot-carrier-induced device degradation if problems inherent to p/sup +/ poly gate were solved. The use of a gate-drain-overlapped LDD structure might become necessary in sub-half-micron pMOSFETs to improve the hot-carrier reliability without sacrificing the device performance. <<ETX>>
Aplicació per a mòbils Android per a poder cercar text en imatges

Les imatges s'usen cada vegada mes en ambits molt diversos. Aquestes imatges solen contenir colors, objectes i/o textos i les bases de dades poden contenir infinitat d'imatges. Existint tantes imatges apareix la necessitat de classificar-les, d'ordenar-les i de poder-ne buscar alguna en concret i trobar-la amb relativa facilitat (que una persona hagi de repassar totes les imatges d'una base de dades pot ser una tasca molt poc productiva i ineficient). El resultat d'aquest treball es la classificacio d'imatges segons les lletres o text que contenen i la seva posterior recuperacio. S'ha desenvolupat una aplicacio per a dispositius mobils amb sistema Android que envia el text que l'usuari vol buscar al servidor on estan allotjades les imatges. Aquest servidor busca entre les imatges que disposa les cinc que contenen un text i que aquest s'assembla mes al text rebut. Aquestes imatges son retornades a l'aplicacio i mostrades a l'usuari. Un exemple d'us podrien ser les imatges del sistema Street View de Google.
The Influence of the Feeding Therapy Model on Pulmonary Complications in Patients Treated under Conditions of Intensive Therapy Wpływ modelu terapii żywieniowej na powikłania płucne u chorych leczonych w warunkach intensywnej terapii

Background. Feeding therapy constitutes a factor which modulates the immunological, metabolic, and hemody− namic reactions of the system to trauma and infection in critical conditions. Early enteral feeding can cause an increase in gastric residual capacity, alkalization of gastric contents, and intensification of gastric bacterial colo− nization, increasing the risk of complications in the form of ventilator−associated pneumonia (VAP). Objectives. The aim was to evaluate the effect of enteral feeding using the continuous or intermittent method on the development of ventilator−associated pneumonia as well as a quantitative and qualitative analysis of microor− ganisms isolated from material obtained from the gastric contents and upper and lower airways using the protect− ed specimen brush method. Material and Methods. The prospective randomized study included 40 patients (13 women and 27 men, aged 18–75 years), divided into two groups: I (n = 20) undergoing intermittent enteral feeding (IEF) and II (n = 20) with continuous enteral feeding (CEF). Evaluation included daily changes in the pH value of the gastric contents ana− lyzed using a nonparametric Wilcoxon test and VAP incidence using the Fisher exact test. Quantitative and quali− tative analysis was carried out on the microorganisms isolated as indicated above. Results. A statistically significant decrease in the pH value of the gastric contents during nocturnal hours of feed− ing was noted in group I (p 0.05). Gram−negative bacteria constituted 61.5% of the isolated microorganisms. Conclusions. Enteral feeding in patients undergoing mechanical ventilation is connected with gastric bacterial colo− nization, dominated by Gram−negative bacteria. The intermittent enteral feeding method is a factor limiting bacterial colonization by decreasing the pH of the gastric contents during the nocturnal interval. However, it does not decrease the risk of ventilator−associated pneumonia in a statistically significant way (Adv Clin Exp Med 2007, 16, 3, 365–373).
eed and Scope Of Development Of Aloe vera As Remedy medicine For Skin Diseases

The number of factors such as over population, increased pollution, variety of micro-organisms, biological toxins, chemical and physical agents etc. are responsible to produce various skin diseases. The various allopathic drugs are available in market which are used in different skin diseases but they cause various side effects. As compaired to the allopathic drugs HERBAL DRUGS produces less or no side effects hence they have large demand in the treatment of various skin diseases. The present review subject matter is related to the important uses of the “ALOE VERA” in various skin diseases including its complete pharmacognostic scheme.
Teaching cultural aspects of health: a vital part of communication

Communication teaching should now be an important part of the undergraduate curriculum. Training in cultural issues has been identified as missing by practising doctors. We describe here teaching which addressed both areas. Second-year students visited and interviewed a family from an ethnic minority group. They then presented and discussed their findings in groups of 12. Evaluation showed that most students found the teaching both interesting and useful. Their understanding of cultural factors in health, as well as communication skilk, had increased.
High Embedding Capacity and Secured Steganographic Model by Using RS based Genetic Algorithm and IWT

The proposed system presents a novel approach of building a secure data hiding technique of Steganography using inverse wavelet transform along with Genetic algorithm. The prominent focus of the proposed work is to develop RS-analysis proof design with highest imperceptibility. Optimal Pixel Adjustment process is also adopted to minimize the difference error between the input cover image and the embedded-image and in order to maximize the hiding capacity with low distortions respectively. The analysis is done for mapping function, PSNR, image histogram, and parameters of RS analysis. The simulation results highlights that the proposed security measure basically gives better and optimal results in comparison to prior research work conducted using wavelets and genetic algorithm.
Years of Life Lost due to Premature Death in People with Disabilities in Korea: the Korean National Burden of Disease Study Framework

Background Several studies have been conducted regarding people with disabilities, however no studies have estimated the disease burden due to premature death. As such, we aimed to compare the years of life lost (YLLs) due to premature death between a population with disabilities and the total population of Korea. Methods To calculate the YLLs in people with disabilities, we combined disability registration data from the 2002–2011 Ministry of Health and Welfare of Korea and the causes of mortality data by Statistics Korea for 3,158,231 people. Results YLLs of people with disabilities were 517,337, which accounted for 23.4% of YLLs of the total population. YLLs per 100,000 people with disabilities were approximately 3.8 times higher than those in the total Korean population. Ischemic stroke was associated with the highest YLLs per 100,000 people, followed by ischemic heart disease, hemorrhagic, and other non-ischemic stroke, diabetes mellitus, and self-harm. Among individuals with physical disabilities, ischemic heart disease was associated with the highest YLLs. For intellectual disability, epilepsy contributed to the most YLLs. For individuals with mental disability, self-harm was the largest contributor to YLLs. Conclusion The burden of disease was higher in the population with disabilities than that in the general population. Cardiovascular diseases and cancer had a higher burden of disease than did other diseases in the population with disabilities; thus, overall, non-communicable diseases have a higher burden of disease than communicable diseases or injuries in the population with disabilities than in the general population.
Can I Trust the Data I See?: A Physician's Concern on Medical Data in IoT Health Architectures

With the increasing advancement of Internet of Things (IoT) enabled systems, smart medical devices open numerous opportunities for the healthcare sector. The success of using such devices in the healthcare industry depends strongly on secured and reliable medical data transmission. Physicians diagnose that data and prescribe medicines and/or give guidelines/instructions/treatment plans for the patients. Therefore, a physician is always concerned about the medical data trustworthiness, because if it is not guaranteed, a savior can become an involuntary foe! This paper analyses two different scenarios to understand the real-life consequences in IoT-based healthcare (IoT-Health) application. Appropriate sequence diagrams for both scenarios show data movement as a basis for determining necessary security requirements in each layer of IoT-Health. We analyse the individual entities of the overall system and develop a system-wide view of trust in IoT-Health. The security analysis pinpoints the research gap in end-to-end trust and indicates the necessity to treat the whole IoT-Health system as an integrated entity. This study highlights the importance of integrated cross-layer security solutions that can deal with the heterogeneous security architectures of IoT healthcare system and finally identifies a possible solution for the open question raised in the security analysis with appropriate future research directions.
Trusted Time-Based Verification Model for Automatic Man-in-the-Middle Attack Detection in Cybersecurity

Due to the prevalence and constantly increasing risk of cyber-attacks, new and evolving security mechanisms are required to protect information and networks and ensure the basic security principles of confidentiality, integrity, and availability—referred to as the CIA triad. While confidentiality and integrity can be achieved using Secure Sockets Layer (SSL)/Transport Layer Security (TLS) certificates, these depend on the correct authentication of servers, which could be compromised due to man-in-the-middle (MITM) attacks. Many existing solutions have practical limitations due to their operational complexity, deployment costs, as well as adversaries. We propose a novel scheme to detect MITM attacks with minimal intervention and workload to the network and systems. Our proposed model applies a novel inferencing scheme for detecting true anomalies in transmission time at a trusted time server (TTS) using time-based verification of sent and received messages. The key contribution of this paper is the ability to automatically detect MITM attacks with trusted verification of the transmission time using a learning-based inferencing algorithm. When used in conjunction with existing systems, such as intrusion detection systems (IDS), which require comprehensive configuration and network resource costs, it can provide a robust solution that addresses these practical limitations while saving costs by providing assurance.
Analyzing the effects of adapted flipped classroom approach on computer programming success, attitude toward programming, and programming self‐efficacy

This study analyzes the effects of the use of adapted flipped classroom approach on the programming success, attitudes, and self‐efficacy of the students in learning programming. The study was conducted in the 2016–2017 fall semester with freshman students in Introduction to Programming and Algorithm course in the Software Engineering Department of a university in Turkey. The sample of the study consists of 46 students taking this course for the first time. The quasi‐experimental research method was used in the study. One group pretest–posttest design was employed, and quantitative data were obtained from the students. The scale of attitude toward computer programming, computer programming self‐efficacy scale, computer programming success test, and practice control chart were used as data collection tools. The study results show that the use of this approach in programming learning has a positive effect on the students’ programming success and programming self‐efficacy while it does not affect their attitudes toward programming. Additionally, it is concluded that there is a highly positive relationship between the numbers of students’ fulfilling the programming tasks and their programming success. Another conclusion of the study is that there is a positive relationship at a medium level between the numbers of students’ fulfilling the programming tasks and programming self‐efficacy and their attitudes toward programming. Considering the study results as a whole, it is seen that flipped classroom approach can be adapted to teach programming.
Window-based Streaming Graph Partitioning Algorithm

In the recent years, the scale of graph datasets has increased to such a degree that a single machine is not capable of efficiently processing large graphs. Thereby, efficient graph partitioning is necessary for those large graph applications. Traditional graph partitioning generally loads the whole graph data into the memory before performing partitioning; this is not only a time consuming task but it also creates memory bottlenecks. These issues of memory limitation and enormous time complexity can be resolved using stream-based graph partitioning. A streaming graph partitioning algorithm reads vertices once and assigns that vertex to a partition accordingly. This is also called an one-pass algorithm. This paper proposes an efficient window-based streaming graph partitioning algorithm called WStream. The WStream algorithm is an edge-cut partitioning algorithm, which distributes a vertex among the partitions. Our results suggest that the WStream algorithm is able to partition large graph data efficiently while keeping the load balanced across different partitions, and communication to a minimum. Evaluation results with real workloads also prove the effectiveness of our proposed algorithm, and it achieves a significant reduction in load imbalance and edge-cut with different ranges of dataset.
A New Technique in Rank Metric Code-Based Encryption

We propose a rank metric codes based encryption based on the hard problem of rank syndrome decoding problem. We propose a new encryption with a public key matrix by considering the adding of a random distortion matrix over F q m of full column rank n. We show that IND-CPA security is achievable for our encryption under assumption of the Decisional Rank Syndrome Decoding problem. Furthermore, we also prove some bounds for the number of matrices of a fixed rank with entries over a finite field. Our proposal allows the choice of the error terms with rank up to r 2 , where r is the error-correcting capability of a code. Our encryption based on Gabidulin codes has public key size of 13 . 68 KB, which is 82 times smaller than the public key size of McEliece Cryptosystem based on Goppa codes. For similar post-quantum security level of 2 140 bits, our encryption scheme has a smaller public key size than the key size suggested by LOI17 Encryption.
Reducing permutation error in subband-based convolutive blind separation

Subband-based blind source separation has great potential in solving the complicated convolutive mixing problem. However, its performance is largely affected by the permutation ambiguity problem during the synthesis stage. Researchers have suggested methods to correct the permutation by exploiting the correlation information between adjacent frequencies/subbands. An improved solution to this permutation problem is proposed based on a novel filter banks design method, which is based on a model that includes inter-subband correlation as part of the optimisation criterion. Simulation results show that a better subband permutation alignment result has been achieved, leading to improved separation performance.