Miracle-dz/UniFAR-FTUs huggingface dataset:
Ocular findings in population latino-mestiza of patients with renal carcinoma: first report

Introduction: In the adult population, renal cell carcinoma (RCC) is the tenth fourth place representing about 2-3% of cancers worldwide. This tumor metastasizes more frequently to lung, liver, bone, subcutaneous tissue and rare way to choroid. There isn ́t currently, an study describing the posterior segment alterations associated with renal cell carcinoma that may arise in the course of the disease and its relationship to the stadium it. Objective: To evaluate patients diagnosed with RCC to determine the presence of alterations in the posterior segment and its relationship to the stadium it. Materials and Methods: Observational, transverse and descriptive study of 40 patients (80 eyes) with diagnosis of renal cell carcinoma. Demographic data: age, gender, histological type, duration, stage, type of treatment and comorbidities at the time of the review. Measurement variables: visual acuity (LogMAR), biomicroscopy of the anterior segment with slit lamp, photographic record of posterior pole and peripheral retina, retinal fluorescein angiography, electroretinography and optical coherence tomography. Each patient was evaluated by 2 ophthalmologists. Results: 6 patients were excluded due to retinal changes associated with type 2 diabetes mellitus and hypertension. The average age was 55 years (29-78 years), 16 men (47.1%) and 18 women (52.8%), the average time of diagnosis of renal cell carcinoma was 4 months (1-14 months). A total of 33 patients (97%) were treated surgically and 1 (3%) received chemotherapy, the most common histological type was clear cell carcinoma (91.2%) and most patients were in stage II (50 %) at the time of assessment, 4 of them (11.7%) had metastases (stage IV) at diagnosis (lung, skin, bone and choroid respectively). The alterations of posterior segment found during the ophthalmologic evaluation were: choroidal metastases (2.9%), cancer associated retinopathy (2.9%), pigmentary changes in the retinal pigment epithelium of the retina (8.8%) and finally vascular tortuosity (11.7%), 73.5% of patients had a normal posterior segment features. Most patients who had posterior segment alterations were stage IV. Conclusions: In the renal cell carcinoma can be found pigmentary changes at the level of retinal pigment epithelial, vascular tortuosity, cancer associated retinopathy and metastases choroid, these are more common in advanced stages of the disease and are usually found in a routine examination in patients asymptomatic, and independent treatment established.
Different queuing policies for handover requests in low Earth orbit mobile satellite systems

In this paper, a mobility model suitable for low Earth orbit mobile satellite systems (LEO-MSS's) has been presented, and its statistical parameters have been derived in order to evaluate the impact of the mobility on the performance of the fixed channel allocation (FCA) strategy. Moreover, we have foreseen that interbeam handover requests, which do not immediately find service, can be queued to reduce the handover failure rate. Two different queuing disciplines have been assumed: (1) the first-input-first-output (FIFO) scheme and (2) an idealized strategy that requires knowledge of the last useful instant (LUI) within which the handover procedure must be completed in order to rank the queued handover requests. An analytical approach has been developed to compare these queuing techniques, and its results have been validated through simulations.
Suppression of stress induced drain leakage current of SOI MOSFETs by using partial trench isolation technology

In this report, stress analysis of the partial trench isolated (PTI) structure (Hirano et al, 1999) is performed as compared with a fully trench isolated (FTI) structure using process simulation. The PTI structure consists of the continuous remaining SOI layer under the trench oxide. It is found that the oxidation-induced stress of the PTI SOI MOSFETs during the trench isolation process can remain lower than that of the FTI SOI MOSFETs because oxidant diffusion to the SOI bottom surface is easily suppressed in the PTI SOI MOSFETs. Moreover, the high yield of the drain leakage current characteristics of the PTI SOI MOSFETs are shown.
Architectural support for user-level network interfaces in heavily virtualized systems

User-level interfaces (ULIs) find increasing application in high-speed network adapters. The Virtual Interface Architecture as the main ULI representative is adopted not only in its native domain of InfiniBand but increasingly also in virtualized TCP/IP adapters. The advantages over socket implementations are low CPU usage combined with low latency communication. The trend towards heavily virtualized systems however creates a new challenge for user-level network interfaces as they have to cope with the increasing virtualization complexity, making it difficult to improve on current communication latencies. In this paper we propose architectural support in the processor for a new, enhanced doorbell mechanism for ULI devices to improve the send performance through payload data movement onloading. Therefore we reuse existing translation lookaside buffers (TLBs) to translate virtual addresses of send data references already in the processing units. Furthermore the I/O controller is adapted to work on those data references and to fetch and forward the data to the device early on. Our simulations show that this concept is able to reduce the average send start latency for single packet sends by up to 50 % compared with the best current concept.
ONLINE REAL-TIME ONSET DETECTION WITH RECURRENT NEURAL NETWORKS

We present a new onset detection algorithm which operates online in real time without delay. Our method incorporates a recurrent neural network to model the sequence of onsets based solely on causal audio signal information. Comparative performance against existing state-of-the-art online and offline algorithms was evaluated using a very large database. The new method ‐ despite being an online algorithm ‐ shows performance only slightly short of the best existing offline methods while outperforming standard approaches.
AN ADAPTIVE MULTI-RESOLUTION ALGORITHM FOR 2D SIMULATIONS OF INDOOR PROPAGATION

In this paper a multi-resolution FDPF approach has been proposed. More precisely, a new nonregular pyramidal structure which fits the particular arrangement of the indoor environment has been presented. The use of a full-space discrete simulator instead of classical ray-tracing techniques is a challenge due to the inherent high computation requests. However, we demonstrate that the use of a multi-resolution approach allows one to perform some calculus in a pre-processing phase, independently of source locations.
Numerical and verbal decision analysis: comparison on practical cases

Numerical decision analysis (NDA), derived from statistical decision theory, is very well known. Verbal decision analysis (VDA), oriented towards so-called unstructured problems, where the qualitative and uncertain factors dominate, is a newer direction in decision theory and practice. Verbal and numerical decision analyses (DAs) have been compared in an experimental setting, with groups of students. This paper presents the results of a comparison in the context of live practical tasks. Both approaches were attempted on two comparable choices, facing both Russian and US government agencies, involving a choice between oil and gas transportation options. The resulting methodological insights are generalized into a systematic comparison of the strong and weak features of each approach. Copyright © 2000 John Wiley & Sons, Ltd.
Measuring student growth with the conditional growth chart method

The measurement of student academic growth is one of the most important statistical tasks in an educational accountability system. The current methods of measuring student growth adopted in most states have various drawbacks in terms of sensitivity, accuracy, and interpretability. In this thesis, we apply the conditional growth chart method, a welldeveloped diagnostic tool in pediatrics, to student longitudinal test data to produce descriptive and diagnostic statistics about students' academic growth trajectory. We also introduce an innovative simulation-extrapolation (SIMEX) method which corrects for measurement error-induced bias in the estimation of the conditional growth model. Our simulation study shows that the proposed method has an advantage in terms of mean squared error of the estimators, when compared with the growth model that ignores measurement error. Our data analysis demonstrates that the conditional growth chart method, when combined with the SIMEX method, can be a powerful tool in the educational accountability system. It produces more sensitive and accurate measures of student growth than the other currently available methods; it provides diagnostic information that is easily understandable to teachers, parents and students themselves; the individual level growth measures can also be aggregated to school level as an indicator of school growth. Chapter
The Agoræ / Hypertopic approach

We briefly describe the Hypertopic model created by Tech-CICO lab and the Agorae software tool based on this model. We focus on how this allpurpose Knowledge Management approach, that we have called “socio semantic Web”, can help communities to formulate, to publish, or to broadcast knowledge, especially scientific knowledge in the field of Human and Social Sciences, where formal “ontology” approaches are often risky.
COMPARING ACOUSTIC GLOTTAL FEATURE EXTRACTION METHODS WITH SIMULTANEOUSLY RECORDED HIGH-SPEED VIDEO FEATURES FOR CLINICALLY OBTAINED DATA

OF THESIS COMPARING ACOUSTIC GLOTTAL FEATURE EXTRACTION METHODS WITH SIMULTANEOUSLY RECORDED HIGH-SPEED VIDEO FEATURES FOR CLINICALLY OBTAINED DATA Accurate methods for glottal feature extraction include the use of high-speed video imaging (HSVI). There have been previous attempts to extract these features with the acoustic recording. However, none of these methods compare their results with an objective method, such as HSVI. This thesis tests these acoustic methods against a large diverse population of 46 subjects. Two previously studied acoustic methods, as well as one introduced in this thesis, were compared against two video methods, area and displacement for open quotient (OQ) estimation. The area comparison proved to be somewhat ambiguous and challenging due to thresholding effects. The displacement comparison, which is based on glottal edge tracking, proved to be a more robust comparison method than the area. The first acoustic methods OQ estimate had a relatively small average error of 8.90% and the second method had a relatively large average error of -59.05% compared to the displacement OQ. The newly proposed method had a relatively small error of -13.75% when compared to the displacements OQ. There was some success even though there was relatively high error with the acoustic methods, however, they may be utilized to augment the features collected by HSVI for a more accurate glottal feature estimation.
The Effect of Inhalation Aromatherapy with Lavender Essence on Pain Intensity and Anxiety in Burn Patients: A Clinical Randomized Trial

1. Assistant Professor, Department of Medical Surgical, Malayer School of Nursing, Hamadan University of Medical Sciences, Hamadan, Iran 2. Associate Professor, Department of Medical Surgical, Faculty of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran 3. Associate Professor, Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran 4. MSc. , Student Research Committee, Faculty of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran
Effects of Fibre Inclusion on Stress Strain Behaviour of a Compacted Over-consolidated Clay From Lambeth Group

Micro reinforcement in clays is an area that needs further research as little is known about the undrained behaviour of such composite materials, especially when compaction is concerned. This work presents preliminary data from isotropically consolidated undrained triaxial tests in reinforced and unreinforced compacted samples in the laboratory. The clay used in the tests is a heavily over-consolidated clay from the Lambeth Group. In order to mimic the in situ conditions, created by the use of a rotovator to mix the fibres with the soil, samples were prepared by chopping the clay into small peds (10 to 15mm) that were mixed with the fibres and dynamically compacted to form triaxial samples of 100mm in diameter and 200mm in height. The analysis of the triaxial testing results provided an insight into how the inclusions of fibres change the failure mechanism of the compacted soil. Reinforced samples show a strain-hardening behaviour throughout the whole shearing stage while the unreinforced samples present a reduction in deviatoric stress at higher strains, characteristic of strain localisation. The results also show that the reinforced samples generate higher pore water pressures during the shearing stage, indicating that they have a higher tendency to compress than the unreinforced samples.
The relationship between p wave dispersion and left atrial volume index in patients with metabolic syndrome

Aim: The incidence of cardiovascular diseases has increased in patients with metabolic syndrome(MS)and left atrial functions also begin to deteriorate from the early period. This effect could be demonstrated by both ECG and Echocardiography. In this study, we investigated the relationship between left atrium volume index (LAVi), which is a sensitive indicator of left atrial dysfunction, and p-wave dispersion (Pd) in patients with MS. Material and Methods: Patients with MS were included in the study. Baseline ECG and transthoracic echocardiography (TTE) measurements were performed and the correlation between the Pd and LAVi was investigated. Results: 180 patients were included in the study. The median age of the study population was45(36-57) and 64% was male. In correlation analysis, there was a good correlation between Pd and LAVi(r:0.73 and p
Domain adaptation for summarizing conversations

The goal of summarization in natural language processing is to create abridged and informative versions of documents. A popular approach is supervised extractive summarization: given a training source corpus of documents with sentences labeled with their informativeness, train a model to select sentences from a target document and produce an extract. Conversational text is challenging to summarize because it is less formal, its structure depends on the modality or domain, and few annotated corpora exist. We use a labeled corpus of meeting transcripts as the source, and attempt to summarize a different target domain, threaded emails. We study two domain adaptation scenarios: a supervised scenario in which some labeled target domain data is available for training, and an unsupervised scenario with only unlabeled data in the target and labeled data available in a related but different domain. We implement several recent domain adaptation algorithms and perform a comparative study of their performance. We also compare the effectiveness of using a small set of conversation-specific features with a large set of raw lexical and syntactic features in domain adaptation. We report significant improvements of the algorithms over their baselines. Our results show that in the supervised case, given the amount of email data available and the set of features specific to conversations, training directly indomain and ignoring the out-of-domain data is best. With only the more domainspecific lexical features, though overall performance is lower, domain adaptation can effectively leverage the lexical features to improve in both the supervised and unsupervised scenarios.
A study on neural networks for short-term load forecasting

A study is made on the application of the artificial neural network (ANN) method to forecast the short-term load for a large power system. The load has two distinct patterns: weekday and weekend-day patterns. The weekend-day pattern include Saturday, Sunday, and Monday loads. Three different ANN models are proposed, including two feedforward neural networks and one recurrent neural network. Inputs to the ANN are past loads and the output is the predicted load for a given day. The standard deviation and percent error of each model are compared. <<ETX>>
Effect of Performing a Boundary-Avoidance Tracking Task on the Perception of Coherence Between Visual and Inertial Cues

During flight simulation, the inertial and visual stimuli provided to the pilot differ considerably. For successful design of motion cueing algorithms it is necessary to gather knowledge on how pilots perceive the difference between visual and inertial cues. Some of the work done on this topic has concentrated on the concept of coherence zone. A coherence zone represents a range of inertial motion amplitudes, which although not being a match with the visual motion, are still perceived by humans as one realistic, coherent movement. To extend the knowledge on coherence zones an experiment was performed that tested the yaw motion coherence zone limits at two frequencies during passive and active situations. Subjects were required to perform a boundary-avoidance task as a mean to decrease the attention given to the perception task. This decrease in attention was thought to cause a widening of the perceived coherence zones. The boundary-avoidance tracking task had two levels of difficulty. The measured coherence zones did not change significantly with the addition of the control task. These results imply that unlike motion perception thresholds, coherence zones are little influenced by decreased levels of attention. This being true, for a range of tasks, such as supervisory tasks or procedural training in a flight simulator, pilot acceptance of the inertial cues might be measured in a passive manner and directly applied to the active scenario.
Cholera Outbreak in Yemen: Timeliness of Reporting and Response in the National Electronic Disease Early Warning System

Introduction: In Yemen, the largest cholera epidemic of modern times started in late 2016. By March 2018, more than one million cases had been reported. A national electronic Disease Early Warning System (eDEWS) for infectious disease surveillance was established in 2013. Aim: This study assessed the eDEWS’s timelines for reported cholera cases. Methods: Quantitative data published in eDEWS and the Weekly Epidemiological Bulletin of the Yemen Ministry of Health from March 2013 until March 2018 were analyzed. For assessing the early detection of cholera cases, 262 weekly bulletins were reviewed. The raw data of the immediately generated eDEWS alerts during the first outbreak wave were used to assess response timeliness. Results: Reported cholera incidence peaked at 1,698 cases (first wave) in 2016 week 49, and then reached 46,667 cases (second wave) in 2017 week 26. The mean time period between reporting and the first response was 2.85 days. Only 31% of the eDEWS alerts were verified within the first 24 hours, and the majority (83%) were verified within one week. There were major differences in the timeliness between the governorates, ranging from 8%-62% for reporting within the first 24 hours. Conclusion: The eDEWS is able to detect and alert health authorities about cholera cases even under conditions of ongoing war and civil war, however, the timeliness of the response needs improvement.
Dynamic Analysis of Highly Saturated Switched Reluctance Motors Using Coupled Magnetic Equivalent Circuit and the Analytical Solution

This paper presents a new method for dynamic performance analysis of highly saturated switched reluctance motors using coupled magnetic equivalent circuit and the analytical solution. In the method, the air-gap of the switched reluctance motor is modelled by the analytic method and the magnetic equivalent circuit is used to model the rest of the machine by taking into account the nonlinearity characteristics of the problem. The complex static and dynamic mesh generation process in the air-gap is not required in the proposed method. Thus, the modelling of motion of rotor becomes simpler and more accurate.
Success of Tricuspid Valve Detachment for Ventricular Septal Defect Closure: An Assessment of Midterm Tricuspid Valve Function

Introduction: Ventricular septal defect (VSD) is the most common congenital heart anomaly. In surgical treatment, the transatrial approach is frequently utilized because of causing less right bundle block and ventricular scarring. However, some VSDs are obscured by the chordae tendineae or a pouch formation of the septal leaflet; therefore, alternative techniques are required. In such cases, tricuspid valve detachment (TVD) provides a complete visualization and ease to access to ventricular septal defects. In this study, we evaluated the results of the patients of whom we performed TVD. Patient and Method: Our study includes 50 patients who underwent TVD during the procedure with the diagnosis of perimembranous VSD. Patients were examined by transthoracic echocardiography (TTE) before and after operation and the valvular functions are evaluated. All patients were kept in follow up for 3 months after discharge. Results: The mean age of the patients was 27.56±34.81 months. At the end of the study, all patients were in New York Heart Association class I. There was no residual shunt through VSD. Except 4 patients with mild tricuspid regurgation (TR), the TTE has not revealed any TR in majority of patients. Conclusion: We suggest that, in appropriate patients, VSD closure can be performed safely with a TVD application thru an incision of the septal leaflet of the tricuspid valve without any adverse effect on function or growth at of the valve at midterm follow-up.
Effects of bright light shock on sleepiness and adaptation among night workers of a hospital in Iran

Background: Night work has many harmful effects on health, efficiency, and industrial safety of workers. Night workers often complained of sleepiness, decrease of performance, and sleep disorder due to the lack of circadian influence that fully encourages night orientation. Objective: This research was conducted in an industrial environment and it accessed the effects of bright-light (BL) exposure on sleepiness during night work. Materials and Methods: This is an interventional study with a cross-over design. A total of 140 night workers with an experience of >1 year at a hospital participated voluntarily in this study. The night workers were divided into two groups, and both groups were exposed to either BL (3000-3500 lux) or normal light (NL) (400 lux) during break times at night work for two consecutive nights. Results: The 15-minute breaks were initiated at 22:00 (before starting work), 24:00, 2:00, and 4:00 h. The range of sleepiness was assessed by the Karolinska Sleepiness Scale (KSS) at 23:00, 1:00, 3:00, and 5:00 h. We used SPSS16 software for data analysis. The results obtained using the paired t-test analysis (P < 0.000) demonstrated that there were significant differences in the rate of sleepiness between the two groups (case and control). Conclusion: The findings of the present study have also demonstrated the feasibility and benefits of photic stimulation in industrial settings which increased the adaptation to night work.