LLukas22/scidocs huggingface dataset:
[Diagnosis and treatment of endodermal sinus tumor of the vagina].

OBJECTIVES
To describe the clinical characteristics and the role of chemotherapy in endodermal sinus tumor of the vagina.


METHOD
Two patients with endodermal sinus tumor of the vagina were presented focusing on the clinical manifestations and outcome of the chemotherapy.


RESULTS
Patient's age was quite young, 2 and 3 years old respectively. Vaginal bleeding and a polypoid and fragile tumor of the vagina were main clinical features. Elevated serum alpha-FP was found before chemotherapy and dropped dramatically to normal if the tumor was sensitive to chemotherapy. Diagnosis was made by pathology and alpha-FP immunohistochemical staining. Both two patient was well responded to cisplatin vincristine bleomycin (PVB) and cisplatin etoposide bleomycin (PEB) chemotherapy. Clinical and pathological complete remission was obtained after 2-3 courses of chemotherapy without radical surgery and radiotherapy.


CONCLUSIONS
Endodermal sinus tumor of vagina in infant was very sensitive to the chemotherapy. Serum alpha-FP was very useful in diagnosis and monitoring of the disease.
A dead reckoning localization system for mobile robots using inertial sensors and wheel revolution encoding

Inertial navigation systems (INS) are composed of inertial sensors, such as accelerometers and gyroscopes. An INS updates its orientation and position automatically; it has an acceptable stability over the short term, however this stability deteriorates over time. Odometry, used to estimate the position of a mobile robot, employs encoders attached to the robot’s wheels. However, errors occur caused by the integrative nature of the rotating speed and the slippage between the wheel and the ground. In this paper, we discuss mobile robot position estimation without using external signals in indoor environments. In order to achieve optimal solutions, a Kalman filter that estimates the orientation and velocity of mobile robots has been designed. The proposed system combines INS and odometry and delivers more accurate position information than standalone odometry.
Effect on cerebral vasospasm of coil embolization followed by microcatheter intrathecal urokinase infusion into the cisterna magna: a prospective randomized study.

BACKGROUND AND PURPOSE
Vasospasm remains the leading cause of death and permanent neurological disability in patients with aneurysmal subarachnoid hemorrhage (SAH). The objective of our prospective randomized trial of coil embolization followed by intrathecal urokinase infusion into the cisterna magna (ITUKI therapy) was to test its effectiveness in preventing or alleviating the severity of ischemic neurological deficits caused by vasospasm.


METHODS
We enrolled 110 patients with ruptured intracranial aneurysms eligible for coil embolization and randomly assigned them to embolization with (n=57) or without (n=53) ITUKI therapy performed within 24 hours of aneurysmal SAH. The incidence of symptomatic vasospasms and the clinical outcomes, based on the Glasgow Outcome Scale, 6 months after SAH onset were assessed.


RESULTS
There were no side effects or adverse reactions attributable to ITUKI therapy. Symptomatic vasospasm occurred in 5 patients (8.8%) with and 16 (30.2%) without ITUKI therapy; the difference was significant (P=0.012). Although the mortality rate did not differ between the groups, patients with ITUKI therapy had significantly better outcomes than those without (P=0.036).


CONCLUSIONS
Our results demonstrate that ITUKI therapy significantly reduced the occurrence of symptomatic vasospasm. Although it did not completely prevent vasospasms, ITUKI therapy resulted in a lower rate of permanent neurological deficits.
Examining Interest and Grades in Computer Science 1: A Study of Pedagogy and Achievement Goals

Computer Science 1 (CS1), the first course taken by college-level computer science (CS) majors, has traditionally suffered from high failure rates. Efforts to understand this phenomenon have considered a wide range of predictors of CS success, such as prior programming experience, math ability, learning style, and gender, with findings that are suggestive but inconclusive. The current quasiexperimental study extends this research by exploring how the pedagogical approach of the course (traditional lecture vs. Peer Instruction (PI) and clickers) in combination with student achievement goals (mastery goals vs. performance goals) relates to exam grades, interest in the subject matter, and course enjoyment. The research revealed that students with performance goals scored significantly lower on final exams in both the lecture and PI conditions. However, students with performance goals reported higher levels of subject matter interest when taught through PI. Students with mastery goals, in both conditions, scored significantly higher on the final exam, had higher levels of interest, and reported higher levels of course enjoyment than their performance-oriented counterparts. The results suggest that PI may improve the level of subject-matter interest for some students, thereby indicating the importance of studying pedagogical approach as we seek to understand student outcomes in CS1.
Study on surface roughness minimization in turning of DRACs using surface roughness methodology and taguchi under pressured steam jet approach

This paper discusses the use of Taguchi and response surface methodologies for minimizing the surface roughness in turning of discontinuously reinforced aluminum composites (DRACs) having aluminum alloy 6061 as the matrix and containing 15 vol. % of silicon carbide particles of mean diameter 25μm under pressured steam jet approach. The measured results were then collected and analyzed with the help of the commercial software package MINITAB15. The experiments have been conducted using Taguchi’s experimental design technique. The matrix of test conditions included cutting speeds of 45, 73 and 101 m/min, feed rates of 0.11, 0.18 and 0.25 mm/rev and steam pressure 4, 7, 10 bar while the depth of cut has been kept constant at 0.5 mm. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimizing the surface roughness is determined. A second-order model has been established between the cutting parameters and surface roughness using response surface methodology. The experimental results reveal that the most significant machining parameter for surface roughness is steam pressure followed by feed. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the surface roughness in the machining of DRACs.
Concurrent chemo- and radiotherapy in patients with locally advanced carcinoma of the cervix.

BACKGROUND
The feasibility of concurrent chemotherapy and radiotherapy for advanced primary carcinoma of the cervix was evaluated and the results were compared to historical controls.


PATIENTS AND METHODS
In a single institution study, patients (n = 74) with primary cervical carcinoma received 3 cycles carboplatin/5-fluorouracil concurrent with radiotherapy followed by salvage hysterectomy (group I). Treatment results were compared with those of a historical control group (n = 39) (group II), treated similarly but without chemotherapy.


RESULTS
In group I median follow-up is 28 months (12-68+) and in group II 23 months (14-90+ months). The 5-year overall survival, progression-free survival and local recurrence free survival for group I and II are, respectively, 69% versus 38% (P < 0.003), 67% versus 38% (P < 0.005) and 84% versus 43% (P < 0.0001). Two patients in each group developed posttreatment enteritis.


CONCLUSIONS
Radiotherapy with concurrent carboplatin and 5-fluorouracil resulted in a better overall survival, disease free survival and local disease free survival compared to historical controls. The toxicity of this schedule did not exceed that of radiation alone in historical controls.
Offline signature verification using classifier combination of HOG and LBP features

We present an offline signature verification system based on a signature's local histogram features. The signature is divided into zones using both the Cartesian and polar coordinate systems and two different histogram features are calculated for each zone: histogram of oriented gradients (HOG) and histogram of local binary patterns (LBP).
Human 3-D aVOR with and without otolith stimulation

We describe in detail the frequency response of the human three-dimensional angular vestibulo-ocular response (3-D aVOR) over a frequency range of 0.05–1 Hz. Gain and phase of the human aVOR were determined for passive head rotations in the dark, with the rotation axis either aligned with or perpendicular to the direction of gravity (earth-vertical or earth-horizontal). In the latter case, the oscillations dynamically stimulated both the otolith organs and the semi-circular canals. We conducted experiments in pitch and yaw, and compared the results with previously-published roll data. Regardless of the axis of rotation and the orientation of the subject, the gain in aVOR increased with frequency to about 0.3 Hz, and was approximately constant from 0.3 to 1 Hz. The aVOR gain during pitch and yaw rotations was larger than during roll rotations. Otolith and canal cues combined differently depending upon the axis of rotation: for torsional and pitch rotations, aVOR gain was higher with otolith input; for yaw rotations the aVOR was not affected by otolith stimulation. There was a phase lead in all three dimensions for frequencies below 0.3 Hz when only the canals were stimulated. For roll and pitch rotations this phase lead vanished with dynamic otolith stimulation. In contrast, the horizontal phase showed no improvement with additional otolith input during yaw rotations. The lack of a significant otolith contribution to the yaw aVOR was observed when subjects were supine, prone or lying on their sides. Our results confirm studies with less-natural stimuli (off-vertical axis rotation) that the otoliths contribute a head-rotation signal to the aVOR. However, the magnitude of the contribution depends on the axis of rotation, with the gain in otolith-canal cross-coupling being smallest for yaw axis rotations. This could be because, in humans, typical yaw head movements will stimulate the otoliths to a much lesser extent then typical pitch and roll head movements.
[Spanish Implantable Cardioverter-Defibrillator Registry. Third Official Report of the Spanish Society of Cardiology Working Group on Implantable Cardioverter-Defibrillators (2006)].

INTRODUCTION AND OBJECTIVES
To report the 2006 findings of the Spanish Implantable Cardioverter-Defibrillator (ICD) Registry, established by the Working Group on Implantable Cardioverter-Defibrillators, Electrophysiology and Arrhythmia Section, Spanish Society of Cardiology.


METHODS
Each ICD team voluntarily reported data to the Spanish Society of Cardiology by completing a single-page questionnaire. Prospective data were collected on 91.8% of implantations.


RESULTS
In total, 2679 implantations were reported to the registry (86.6% of the estimated total). The reported implantation rate was 60 per million inhabitants, and the estimated rate was 69 per million. The proportion of first implantations was 80%. The majority of ICDs were implanted in males (mean age 61.5 [14] years) with severe or moderate-to-severe left ventricular dysfunction who were in functional class II or I. Ischemic heart disease was the most frequent etiology, followed by dilated cardiomyopathy. This is the first year that half of first device implantations were carried out for primary prevention, with substantial increases among patients with ischemic heart disease and dilated cardiomyopathy. The number of ICDs incorporating cardiac resynchronization therapy has continued to grow, and now comprises 28.6% of all devices implanted. As in the previous year, around 70% of ICD implantations were performed in an electrophysiology laboratory by a cardiac electrophysiologist. The incidence of complications during device implantation was very low.


CONCLUSIONS
The 2006 Spanish Implantable Cardioverter-Defibrillator Registry contains data on more than 86% of all ICD implantations performed in Spain. Half of first device implantations were carried out for the purposes of primary prevention.
Algorithms for speeding up distance-based outlier detection

The problem of distance-based outlier detection is difficult to solve efficiently in very large datasets because of potential quadratic time complexity. We address this problem and develop sequential and distributed algorithms that are significantly more efficient than state-of-the-art methods while still guaranteeing the same outliers. By combining simple but effective indexing and disk block accessing techniques, we have developed a sequential algorithm iOrca that is up to an order-of-magnitude faster than the state-of-the-art. The indexing scheme is based on sorting the data points in order of increasing distance from a fixed reference point and then accessing those points based on this sorted order. To speed up the basic outlier detection technique, we develop two distributed algorithms (DOoR and iDOoR) for modern distributed multi-core clusters of machines, connected on a ring topology. The first algorithm passes data blocks from each machine around the ring, incrementally updating the nearest neighbors of the points passed. By maintaining a cutoff threshold, it is able to prune a large number of points in a distributed fashion. The second distributed algorithm extends this basic idea with the indexing scheme discussed earlier. In our experiments, both distributed algorithms exhibit significant improvements compared to the state-of-the-art distributed method [13].
Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements

BACKGROUND
The two step floating catchment area (2SFCA) method has emerged in the last decade as a key measure of spatial accessibility, particularly in its application to primary health care access. Many recent 'improvements' to the original 2SFCA method have been developed, which generally either account for distance-decay within a catchment or enable the usage of variable catchment sizes. This paper evaluates the effectiveness of various proposed methods within these two improvement groups. Moreover, its assessment focuses on how well these improvements operate within and between rural and metropolitan populations over large geographical regions.


RESULTS
Demonstrating these improvements to the whole state of Victoria, Australia, this paper presents the first comparison between continuous and zonal (step) decay functions and specifically their effect within both rural and metropolitan populations. Especially in metropolitan populations, the application of either type of distance-decay function is shown to be problematic by itself. Its inclusion necessitates the addition of a variable catchment size function which can enable the 2SFCA method to dynamically define more appropriate catchments which align with actual health service supply and utilisation.


CONCLUSION
This study assesses recent 'improvements' to the 2SFCA when applied over large geographic regions of both large and small populations. Its findings demonstrate the necessary combination of both a distance-decay function and variable catchment size function in order for the 2SFCA to appropriately measure healthcare access across all geographical regions.
1 Ontology Learning

Ontology Learning greatly facilitates the construction of ontologies by the ontology engineer. The notion of ontology learning that we propose here includes a number of complementary disciplines that feed on different types of unstructured and semi-structured data in order to support a semi-automatic, cooperative ontology engineering process. Our ontology learning framework proceeds through ontology import, extraction, pruning, and refinement, giving the ontology engineer a wealth of coordinated tools for ontology modelling. Besides of the general architecture, we show in this paper some exemplary techniques in the ontology learning cycle that we have implemented in our ontology learning environment, KAON Text-To-Onto.
Costs of Dengue to the Health System and Individuals in Colombia from 2010 to 2012

Dengue fever (DF) is an important health issue in Colombia, but detailed information on economic costs to the healthcare system is lacking. Using information from official databases (2010-2012) and a face-to-face survey of 1,483 households with DF and dengue hemorrhagic fever (DHF) patients, we estimated the average cost per case. In 2010, the mean direct medical costs to the healthcare system per case of ambulatory DF, hospitalized DF, and DHF (in Colombian pesos converted to US dollars using the average exchange rate for 2012) were $52.8, $235.8, and $1,512.2, respectively. The mean direct non-medical costs to patients were greater ($29.7, $46.7, and $62.6, respectively) than the mean household direct medical costs ($13.3, $34.8, and $57.3, respectively). The average direct medical cost to the healthcare system of a case of ambulatory DF in 2010 was 57% of that in 2011. Our results highlight the high economic burden of the disease and could be useful for assigning limited health resources.
Preemption Control for Energy-Efficient Task Scheduling in Systems with a DVS Processor and Non-DVS Devices

In reality, peripheral devices often make a significant contribution to the power consumption of the entire system. An effective energy-efficient scheduling algorithm should consider not only the energy consumption of the processor but also the usages of devices. In this paper, we explore energy-efficient scheduling of periodic real-time tasks in a system with a dynamic-voltage-scaling (DVS) processor and multiple non-DVS system devices. We consider systems that any device used by a task remains operating while the task is active. We propose scheduling algorithms in the management of task preemption to reduce the energy consumption of devices. Simulation results show that our proposed algorithms could not only reduce the number of task preemption significantly but also minimize the energy consumption, compared to earliest-deadline-first scheduling.
A serial multiplex immunogold labeling method for identifying peptidergic neurons in connectomes

Electron microscopy-based connectomics aims to comprehensively map synaptic connections in neural tissue. However, current approaches are limited in their capacity to directly assign molecular identities to neurons. Here, we use serial multiplex immunogold labeling (siGOLD) and serial-section transmission electron microscopy (ssTEM) to identify multiple peptidergic neurons in a connectome. The high immunogenicity of neuropeptides and their broad distribution along axons, allowed us to identify distinct neurons by immunolabeling small subsets of sections within larger series. We demonstrate the scalability of siGOLD by using 11 neuropeptide antibodies on a full-body larval ssTEM dataset of the annelid Platynereis. We also reconstruct a peptidergic circuitry comprising the sensory nuchal organs, found by siGOLD to express pigment-dispersing factor, a circadian neuropeptide. Our approach enables the direct overlaying of chemical neuromodulatory maps onto synaptic connectomic maps in the study of nervous systems.
Enumeration of Total Heterotrophic Bacteria and Some Physico-Chemical Characteristics of Surface Water Used for Drinking Sources in Wilberforce Island , Nigeria

Surface water is a source of drinking water in most rural communities in Nigeria. This study evaluated the total heterotrophic bacteria (THB) counts and some physico-chemical characteristics of Rivers surrounding Wilberforce Island, Nigeria.Samples were collected in July 2007 and analyzed using standard procedures. The result of the THB ranged from 6.389 – 6.434Log cfu/ml. The physico-chemical parameters results ranged from 6.525 – 7.105 (pH), 56.075 – 64.950μS/cm (Conductivity), 0.010 – 0.050‰ (Salinity), 103.752 – 117.252 NTU (Turbidity), 27.250 – 27.325 oC (Temperature), 10.200 – 14.225 mg/l (Dissolved oxygen), 28.180 – 32.550 mg/l (Total dissolved solid), 0.330 – 0.813 mg/l (Nitrate), 0.378 – 0.530 mg/l (Ammonium). Analysis of variance showed that there were significant variation (P<0.05) in the physicochemical properties except for Salinity and temperature between the two rivers. Also no significant different (P>0.05) exist in the THB density of both rivers; upstream (Agudama-Ekpetiama) and downstream (Akaibiri) of River Nun with regard to ammonium and nitrate. Significant positive correlation (P<0.01) exist between dissolved oxygen with ammonium, Conductivity with salinity and total dissolved solid, salinity with total dissolved solid, turbidity with nitrate, and pH with nitrate. The positive correlation (P<0.05) also exist between pH with turbidity. High turbidity and bacteria density in the water samples is an indication of pollution and contamination respectively. Hence, the consumption of these surface water without treatment could cause health related effects. Keyword: Drinking water sources, microorganisms, physico-chemistry, surface water, Wilberforce Island
Encoding words into Cloud models from interval-valued data via fuzzy statistics and membership function fitting

When constructing the model of a word by collecting interval-valued data from a group of individuals, both interpersonal and intrapersonal uncertainties coexist. Similar to the interval type-2 fuzzy set (IT2 FS) used in the enhanced interval approach (EIA), the Cloud model characterized by only three parameters can manage both uncertainties. Thus, based on the Cloud model, this paper proposes a new representation model for a word from interval-valued data. In our proposed method, firstly, the collected data intervals are preprocessed to remove the bad ones. Secondly, the fuzzy statistical method is used to compute the histogram of the surviving intervals. Then, the generated histogram is fitted by a Gaussian curve function. Finally, the fitted results are mapped into the parameters of a Cloud model to obtain the parametric model for a word. Compared with eight or nine parameters needed by an IT2 FS, only three parameters are needed to represent a Cloud model. Therefore, we develop a much more parsimonious parametric model for a word based on the Cloud model. Generally a simpler representation model with less parameters usually means less computations and memory requirements in applications. Moreover, the comparison experiments with the recent EIA show that, our proposed method can not only obtain much thinner footprints of uncertainty (FOUs) but also capture sufficient uncertainties of words. 2013 Elsevier B.V. All rights reserved.