Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute Hemodynamic Effects of Conivaptan, a Dual V1A and V2 Vasopressin Receptor Antagonist, in Patients With Advanced Heart Failure

Background—Arginine vasopressin may contribute to abnormalities in hemodynamics and fluid balance in heart failure through its actions on V1A (vascular and myocardial effects) and V2 receptors (renal effects). Inhibiting the action of vasopressin may be beneficial in patients with heart failure. Methods and Results—A total of 142 patients with symptomatic heart failure (New York Heart Association class III and IV) were randomized to double-blind, short-term treatment with conivaptan, a dual V1a/V2 vasopressin receptor antagonist, at a single intravenous dose (10, 20, or 40 mg) or placebo. Compared with placebo, conivaptan at 20 and 40 mg significantly reduced pulmonary capillary wedge pressure (−2.6±0.7, −5.4±0.7, and −4.6±0.7 mm Hg for placebo and 20 and 40 mg groups, respectively;P <0.05) and right atrial pressure (−2.0±0.4, −3.7±0.4, and −3.5±0.4 mm Hg for placebo and 20 and 40 mg groups, respectively;P <0.05) during the 3- to 6-hour interval after intravenous administration. Conivaptan significantly increased urine output in a dose-dependent manner (−11±17, 68±17, 152±19, and 176±18 mL/hour for placebo and 10, 20, and 40 mg groups, respectively;P <0.001) during the first 4 hours after the dose. Changes in cardiac index, systemic and pulmonary vascular resistance, blood pressure, and heart rate did not significantly differ from placebo. Conclusions—In patients with advanced heart failure, vasopressin receptor antagonism with conivaptan resulted in favorable changes in hemodynamics and urine output without affecting blood pressure or heart rate. These data suggest that vasopressin is functionally significant in advanced heart failure and that further investigations are warranted to examine the effects of conivaptan on symptom relief and natural history in such patients.
The importance of the relationship between malocclusion and mandibular dysfunction and some clinical applications in adults

Studies on the relationship between malocclusion and mandibular dysfunction have been performed in adult subjects. Three samples have been examined: 56 patients with mandibular dysfunction, 389 men aged 21–54 years and 272 women aged 20–46 years. Approximately 25% of the men and the women had moderate or severe dysfunction according to the clinical dysfunction index. Fifteen per cent of the men and 34% of the women had subjective symptoms of dysfunction. Rotation of teeth was correlated with subjective symptoms of mandibular dysfunction in the men and the women. Angle class III malocclusion in the men and need for orthodontic treatment in the women showed the strongest correlation with the severity of clinical symptoms of dysfunction. Crossbite and frontal open bite were more prevalent in the patients with mandibular dysfunction than has been found in other studies. Most of these crossbites were associated with lateral displacements of the mandible between RP and IP. Bilateral crossbite showed a strong correlation to non-working side interference in the patients. The results also indicated that the aetiology of mandibular dysfunction is multifactorial. The implications of these results on orthodontic treatment indications and some aspects on when the treatment should be performed are discussed. Five case presentations are given to illustrate the possibilities of orthodontic treatment of adult patients with mandibular dysfunction.
Seroprevalence of antibodies (IgG) to Taenia solium among pig rearers and associated risk factors in Jos metropolis, Nigeria.

Introduction: In Nigeria, Taenia solium cysticercosis is a problem in rural areas where most pigs are kept and in urban areas where infected pork can be consumed. Methodology: We performed enzyme linked immunosorbent assays on serum samples collected from pig rearers in Jos, Nigeria, to determine the prevalence of IgG antibodies. Results: Of 125 subjects tested, 12 (9.6%) were positive for T. solium. Seroprevalence did not differ significantly (P>0.05) according to education, age, occupation, study location, gender or whether the subjects consumed pork. However, a statistical difference (P<0.05) in seroprevalence was observed according to type and availability of toilet used, personal hygiene after using the toilet, and type of pig management practiced. Females were about two times more likely to be seroprevalent than males (OR=1.7; 95% CI= 0.43-6.67; P=0.4) and subjects who consumed pork were four times more likely to have anti T. solium antibodies than those who did not eat pork (OR=4.2; 95%CI=0.52-33.57; P=0.2). Those who defecated in the bush were 8.3 times more likely to suffer from T. solium infection than those who used water system toilets (OR=8.3; 95%CI=1.56-43.7; P=0.01). Subjects who did not wash their hands after defecating were 6 times more likely to contract T. solium compared to those who washed their hands with water ( OR=5.5; 95% CI=1.39-21.89; P=0.01). Conclusion: Our results show that using a toilet and practicing good personal hygiene can reduce cases of T. solium infection in a community.
Extracting Use Case Scenarios and Domain Models from Legacy Software

Developing a new software system based on legacy software is a labor-intensive process. The main problem lies in preserving the application and domain (business) logic. This paper presents an approach to automate the process of extracting this logic, together with accompanying domain definitions. The approach is based on recording and processing the legacy system behaviour, observable through its user interface. The recovered application logic is represented with use case scenarios having precise sentences describing user-system interactions. These scenarios are tightly linked with domain models which are also created. The presented approach is supported by a tool chain. The central idea is to use a standard test automation system to capture test scripts. These scripts are then processed by a dedicated translation tool and translated into constrained natural language models. These models are machine processable, which allows for further automatic transformations even down to code. The paper presents the results of a case study where the approach and tools were used to migrate an old desktop system to a modern web technology application.
A New Automated Essay Scoring：Teaching Resource Program

This study focuses on the automated essay scoring system: Teaching Resource Program (TRP) from a cross-disciplinary perspective. Different from previous research, this research emphasized the functions of Teaching Resource Program in the respect of evaluation and the capacity to enhance the writing competence. In what follows, we attempt to specify Teaching Resource Program and its contributions. We start with a brief introduction to Teaching Resource Program. Then, we provide the techniques, related theories, and computer programs used in Teaching Resource Program. We have found in this research that Teaching Resource Program and evaluations of e-writing are highly significant correlation. Based on these findings, some useful implications from this study include that automated essay scoring system: Teaching Resource Program needs to be further incorporated with the evaluations of other disciplines. We end the study with the conclusion that Teaching Resource Program contributes to evaluate e-writing pieces, consequently enhances the students' writing performance and further advances the development of writing curricula and other disciplines.
Research on Automatic Test Method of VMF Codecs

Test of VMF Codecs aims to find errors. This paper proposes an automatic test method of VMF codecs, the method use VMF Data Element Dictionary as the input data. Firstly the test process is designed for pack & unpack functions using legal and illegal test cases, then discusses the test cases suitable for automatic generation, and proposes an automatic test case generation method, the method consists of such steps: design of VMF Data Element Dictionary, message format analysis, generation of message storage struct, generation of message pack & unpack function, generation of legal test case and illegal test case. Lastly this method has been implemented and test experiments are taken, the results show that this method is feasible and effective.
Impact of Continuous Positive Airway Pressure Treatment on Leptin Levels in Patients with Obstructive Sleep Apnea Syndrome.

BACKGROUND There is growing evidence that leptin regulation is altered in obstructive sleep apnea syndrome (OSAS). Several potential mechanisms have been purported to explain how sleep apnea may alter leptin levels. We investigated whether repeated apneas, hypoxia, or excessive daytime sleepiness influenced the levels of leptin in OSAS patients. We also evaluated whether a 3-month continuous positive airway pressure (CPAP) treatment affected leptin levels in patients. METHODS Randomly selected 31 untreated, otherwise healthy male, overweight [body mass index (BMI) >25 kg/m(2)] obstructive sleep apnea syndrome (OSAS) patients [apnea-hypopnea index (AHI) ≥15] and 25 control (AHI <5) were included in this study. To confirm the diagnosis, all subjects underwent standard polysomnography. Serum samples were taken at 07:00-08:00 a.m. after overnight fasting. The OSAS patients that had regular CPAP treatment (n=26) were re-evaulated 3 months later. RESULTS Leptin levels (50.5±17.5 grams/L in OSAS and 56.3±25.5 grams/L in controls) and lipid profiles (TC, TGs, HDL-C, and LDL-C) between patient and control groups did not differ (P>0.05). Leptin levels were not correlated with the AHI, oxygen saturation, or excessive daytime sleepiness. CPAP treatment did not significantly change the (BMI), waist and neck circumference, or leptin levels in OSAS patients. Furthermore, we found no correlation between the decrease in serum leptin levels and parameters that were improved by CPAP treatment. CONCLUSION Leptin levels and lipid profile of overweight subjects with and without OSAS were not different, and our results suggest that OSAS-related parameters and CPAP treatment do not play a significant role in the serum leptin levels.
Correlation Between Sleep Quality of Third-Trimester Pregnancy and Postpartum Depression

Background The aim of this study was to investigate whether poor sleep quality of third-trimester pregnancy is a risk factor for postpartum depression. Material and methods Third-trimester pregnant women (T0, n=293) were tested using the first socio-demographic, Pittsburgh Sleep Quality Index, and Edinburgh Postnatal Depression Scale assessments, and received a diagnosis of depression. Three months (T1, n=223) after delivery, scale filling was finished and the structured interview was performed again. Results We found that 73 persons (32.7%) were low income, 84 persons (37.7%) were middle-income, and 66 persons (29.6%) were higher income. The overall prevalence of postpartum depression was 9.4% (21 persons). After controlling for other factors, age, household income, marital satisfaction, and sleep quality were significantly related to postpartum depression, in which age and sleep quality scores (a higher score was associated with poorer sleep quality) were positively related to postpartum depression, and household income and marital satisfaction were negatively related to postpartum depression. Moreover, third-trimester sleep quality score was positively related to postpartum depressive symptoms. Conclusions Poor third-trimester subjective sleep quality is a risk factor for postpartum depression.
Efficient computation of radio coverage zone using a spatial partitionment approach

Previously, we proposed a geometrical approach to the problem of coverage zone computation (Combeau, P. et al., IEEE European Workshop on Integrated Radio Communication Systems, 2002). It is a three step solution. First, the spatial propagation of a wave is computed, using only a geometrical approach. Then, a partitionment is realised, by use of an image segmentation technique. Finally, the evaluation of the coverage zone is computed using external computations for a reduced number of receiver locations. Since the first step of spatial propagation is very time consuming, we now develop an efficient optimization, based on discrete geometric results. Some results are presented showing a very high time reduction.
Predicting Task-related Properties of Mental Workload with ACT-R Cognitive Architecture

In this paper, a methodology with ACT-R cognitive architecture is proposed to quantitatively predict task-related properties that influence mental workload. A mathematical representation of task-related properties over time with respect to an activated time of each module from ACT-R is proposed in this paper. Experiments were performed on menu selection and visual-manual tasks, varied by task difficulty and time pressure. As a result, it was found that predicted values of each task-related property, consisting of physical demand, mental demand, and temporal demand of NASA-TLX achieved by the proposed method, were highly correlated with mean values of subjective rating from subjects.
Student Perceptions of an Introductory Laboratory Course

We surveyed students taking an introductory university physics laboratory course over the summer. These students are science majors, but not physics majors. Eighteen students were interviewed, asked what they thought the purpose of the laboratory course was. Student perceptions of the purpose of the laboratory course and about what they liked and did not like about the course will be shared. These student responses lead to implications for instruction and implications for improving communication among faculty, teaching assistants, and students.
Trends in Triplet Stillbirth Rates in Japan, 1975–1998

Abstract Stillbirth rates of triplet births in the whole of Japan were analyzed using vital statistics from 1975 to 1998. Stillbirths were registered at 12 weeks gestation or later. The stillbirth rate was significantly higher in like- than in unlike-sex triplets for 1975–1998. During the 23-year period the stillbirth rate decreased from 342 to 49 per 1000 total births for like-sex and from 195 to 54 for unlike-sex triplets. The decrease in the stillbirth rate in the 23-year period was greater in both like- and unlike-sex triplets than in singleton and twin births. Risk factors for stillbirth in triplets were like-sex, youngest or oldest maternal age groups, shorter gestational age and lower birthweight. It is recommended that the optimum period to give birth for triplet pregnancies is 34–35 weeks of gestation for Japanese women.
Investigating Music Pattern Formations from Heterogeneous Cellular Automata

Abstract Patterns observed from melody lines, harmonic movements, textual appearances and formal structures in music pieces characterize individual composition. Composers exploit a large number of possible patterns and creatively compose a new piece of music by weaving various patterns together in a musically intelligent manner. To emulate high-level intelligent behaviours such as music composition skills, knowledge-intensive algorithmic composition approaches have been investigated with some successful outcomes. Nevertheless, a knowledge intensive approach has its limitations in a knowledge elicitation process. This paper discusses the applications of heterogeneous cellular automata (hetCA) in generating chorale melodies and Bach chorales harmonization. The machine learning approach is exploited in the learning of rewrite-rules for cellular automata. Rewrite-rules are learned from music examples using a time-delay neural network (TDNN). After each TDNN (hetCA model) has successfully learned musical patterns from the given examples, new patterns are generated from the hetCA model.
Manque du nom propre et effet de la modalité sur la capacité à reconnaître des personnes connues au cours du vieillissement normal*

ABSTRACT The aim of this study was to investigate the impact of aging on the ability a) to name famous faces and b) to access biographical knowledge about famous people from different modalities of presentation (faces and names). Healthy elderly subjects (n = 117) divided into three different age groups were assessed using a semantic memory test of famous people. Results of this study indicate a decline in naming performance between oldest and youngest groups. In contrast, no difference between groups was found in terms of the ability to access semantic knowledge about famous people. Finally, a main effect of modality of presentation (faces vs. names) was found, revealing greater ability to identify famous people in the verbal (names) than in the visual modality (faces). Taken together, results of this study may contribute to developing new cognitive intervention programs in older adults presenting with proper-name anomia. RÉSUMÉ L’objectif de cette étude vise à étudier l’influence du vieillissement sur a) la capacité à dénommer des visages de personnes connues et b) le rôle de la modalité de présentation sur la capacité à accéder aux connaissances sémantiques sur les personnes connues. Les participants âgés en bonne santé (n = 117), répartis en trois tranches d’âge, ont été évalués à l’aide d’un test de mémoire sémantique de personnes célèbres. Les résultats révèlent une diminution significative de la performance en dénomination de noms propres entre le groupe le plus âgé et le moins âgé. Les résultats ne révèlent aucune différence entre les trois groupes quant à la capacité à accéder aux connaissances sémantiques sur ces mêmes personnes. Enfin, les résultats démontrent un effet principal en faveur de la modalité verbale (noms) relativement à la modalité visuelle (visages) dans la capacité des participants âgés à accéder à l’identité des personnes connues. Pris globalement, les résultats de cette étude pourraient contribuer à développer de nouvelles perspectives d’intervention cognitive auprès de personnes âgées présentant un manque du nom propre.
In vivo assessment of cortical circuitry in CADASIL – a novel biomarker?

Non-invasive transcranial magnetic stimulation (TMS) of the human cerebral cortex, particularly the motor areas, has now been developed to the stage at which it is possible to evaluate in vivo glutamatergic, cholinergic and GABAergic circuits of the human brain.1 In addition, repetitive stimulation with TMS produces long-lasting changes in the excitability of central motor circuits that are thought to be caused by early stages of synaptic long-term potentiation/depression, thus providing for the first time the opportunity to explore plasticity in the conscious human brain.2 ,3 The TMS paradigm termed short latency afferent inhibition (SAI), based on coupling peripheral nerve stimulation with cortical TMS, provides information on central cholinergic circuits: SAI is abolished by anticholinergic drugs in healthy subjects,4 is reduced in cholinergic forms …
Coronary Artery Calcium Score: A Review

Context Coronary artery disease (CAD) is the foremost cause of death in many countries and hence, its early diagnosis is usually concerned as a major healthcare priority. Coronary artery calcium scoring (CACS) using either electron beam computed tomography (EBCT) or multislice computed tomography (MSCT) has been applied for more than 20 years to provide an early CAD diagnosis in clinical routine practice. Moreover, its association with other body organs has been a matter of vast research. Evidence Acquisition In this review article, techniques of CACS using EBCT and MSCT scanners as well as clinical and research indications of CACS are searched from PubMed, ISI Web of Science, Google Scholar and Scopus databases in a time period between late 1970s through July 2013 and following appropriate selection, dealt with. Moreover, the previous and ongoing research subjects and their results are discussed. Results The CACS is vastly applied in early detection of CAD and in many other research fields. Conclusions CACS has remarkably changed the screening techniques to detect CAD earlier than before and is generally accepted as a standard of reference for determination of risk of further cardiac events.
Context dependent viseme models for voice driven animation

This paper addresses the problem of animating a talking figure, such as an avatar, using speech input only. The system that was developed is based on hidden Markov models for the acoustic observation vectors of the speech sounds that correspond to each of 16 visually distinct mouth shapes (visemes). The acoustic variability with context was taken into account by building acoustic viseme models that are dependent on the left and right viseme contexts. Our experimental results show that it is indeed possible to obtain visually relevant speech segmentation data directly from the purely acoustic speech signal.
A meta-analysis of qualitative studies on living with oesophageal and clinically similar forms of cancer, seen from the perspective of patients and family members

This study is part of a research programme of which the aim is to generate knowledge about patients’ and family members’ experiences of living with oesophageal cancer from their perspective. The aim of the present study was to extend this knowledge by adding other forms of cancer: other upper gastrointestinal cancer, and head and neck cancer. These cancer forms have clinical similarities with oesophageal cancer and the survival rates are similar. This study is a qualitative meta-analysis that examines the results reported in 13 qualitative original research reports, published in peer-reviewed nursing journals between April 1998 and June 2006. We used thematic analysis. Three themes were formulated: “running into an unpredictable enemy”, “enduring a fading body” and “entering social silence”. Patients and family members gave voice to a suffering that involved the whole person. Our findings show that the whole person must be given care, and this care must include the whole family.
BOF Endpoint Prediction Based on Multi-Neural Network Model

In order to solve the problem that the small and middle converters unable to introduce the sublance detection technology to improve the control precision of endpoint because of the constraints of economy and technology, a method which combine the pedigree cluster and neural network is studied, the pedigree cluster divide the large data sets into several categories, the degree of similarity will be relatively high in each category after division, then train neural model for every category. Finally make predictions. Simulation results show that the multi-neural network model has better prediction results.
Therapy of Helicobacter pylori: Present Medley and Future Prospective

The increasing prevalence of antimicrobial resistance has warned clinicians to adopt new strategies for dealing with the H. pylori infection. The success of various therapeutic regimens has recently declined to unacceptable levels. To date, first line therapies (including concomitant therapy and hybrid therapy), second line therapies (including bismuth-containing quadruple therapy and levofloxacin-containing therapy), and third line therapy (culture-guided therapy) had been introduced. In the near future, treatment of H. pylori is entering into a completely new resistance era. In this setting, despite the recent progress, we may only be targeting the patients with problematic H. pylori. Local preference for antibiotic selection should be an inevitable article in each therapeutic regimen worldwide. Meanwhile, improving the patients' compliance protocols and observed side effects in suggested therapeutic regimens should be considered cautiously. The new strategies in treatment should be adopted based upon local resistance patterns, which requires physician's resistance about the recommended guidelines. Designing new therapeutic regimen, which contains most effective available antibiotics with less possible side effects and high patient compliance, represents a challenging task in treatment of H. pylori infections.