Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient Hemodynamic Changes upon Changing a BCPA into a TCPC in Staged Fontan Operation: A Computational Model Study

The clinical benefits of the Fontan operation in treating single-ventricle defects have been well documented. However, perioperative mortality or morbidity remains a critical problem. The purpose of the present study was to identify the cardiovascular factors that dominate the transient hemodynamic changes upon the change of a bidirectional cavopulmonary (Glenn) anastomosis (BCPA) into a total cavopulmonary connection (TCPC). For this purpose, two computational models were constructed to represent, respectively, a single-ventricle circulation with a BCPA and that with a TCPC. A series of model-based simulations were carried out to quantify the perioperative hemodynamic changes under various cardiovascular conditions. Obtained results indicated that the presence of a low pulmonary vascular resistance and/or a low lower-body vascular resistance is beneficial to the increase in transpulmonary flow upon the BCPA to TCPC change. Moreover, it was found that ventricular diastolic dysfunction and mitral valve regurgitation, despite being well-known risk factors for poor postoperative outcomes, do not cause a considerable perioperative reduction in transpulmonary flow. The findings may help physicians to assess the perioperative risk of the TCPC surgery based on preoperative measurement of cardiovascular function.
Maternal Versus Infant Vitamin D Supplementation During Lactation: A Randomized Controlled Trial

OBJECTIVE: Compare effectiveness of maternal vitamin D3 supplementation with 6400 IU per day alone to maternal and infant supplementation with 400 IU per day. METHODS: Exclusively lactating women living in Charleston, SC, or Rochester, NY, at 4 to 6 weeks postpartum were randomized to either 400, 2400, or 6400 IU vitamin D3/day for 6 months. Breastfeeding infants in 400 IU group received oral 400 IU vitamin D3/day; infants in 2400 and 6400 IU groups received 0 IU/day (placebo). Vitamin D deficiency was defined as 25-hydroxy-vitamin D (25(OH)D) <50 nmol/L. 2400 IU group ended in 2009 as greater infant deficiency occurred. Maternal serum vitamin D, 25(OH)D, calcium, and phosphorus concentrations and urinary calcium/creatinine ratios were measured at baseline then monthly, and infant blood parameters were measured at baseline and months 4 and 7. RESULTS: Of the 334 mother-infant pairs in 400 IU and 6400 IU groups at enrollment, 216 (64.7%) were still breastfeeding at visit 1; 148 (44.3%) continued full breastfeeding to 4 months and 95 (28.4%) to 7 months. Vitamin D deficiency in breastfeeding infants was greatly affected by race. Compared with 400 IU vitamin D3 per day, 6400 IU/day safely and significantly increased maternal vitamin D and 25(OH)D from baseline (P < .0001). Compared with breastfeeding infant 25(OH)D in the 400 IU group receiving supplement, infants in the 6400 IU group whose mothers only received supplement did not differ. CONCLUSIONS: Maternal vitamin D supplementation with 6400 IU/day safely supplies breast milk with adequate vitamin D to satisfy her nursing infant’s requirement and offers an alternate strategy to direct infant supplementation.
Segmentation Ensemble via Kernels

Clustering ensemble is a promising technique to face data clustering problems. Similarly, the combination of different segmentations to obtain a consensus one could be a powerful tool for addressing image segmentation problems. Such segmentation ensemble algorithms should be able to deal with the possible large image size and should preserve the spatial relation among pixels in the image. In this paper, we formalize the segmentation ensemble problem and introduce a new method to solve it, which is based on the kernel clustering ensemble philosophy. We prove that the Rand index is a kernel function and we use it as similarity measure between segmentations in the proposed algorithm. This algorithm is experimentally evaluated on the Berkeley image database and compared to several state-of-the-art clustering ensemble algorithms. The achieved results ratify the accuracy of our proposal.
The WarpEngine: an architecture for the post-polygonal age

We present the WarpEngine, an architecture designed for real-time imaged-based rendering of natural scenes from arbitrary viewpoints. The modeling primitives are real-world images with per-pixel depth. Currently they are acquired and stored off-line; in the near future real-time depth-image acquisition will be possible, the WarpEngine is designed to render in immediate mode from such data sources. The depth-image resolution is locally adapted by interpolation to match the resolution of the output image. 3D warping can occur either before or after the interpolation; the resulting warped/interpolated samples are forward-mapped into a warp buffer, with the precise locations recorded using an offset. Warping processors are integrated on-chip with the warp buffer, allowing efficient, scalable implementation of very high performance systems. Each chip will be able to process 100 million samples per second and provide 4.8GigaBytes per second of bandwidth to the warp buffer. The WarpEngine is significantly less complex than our previous efforts, incorporating only a single ASIC design. Small configurations can be packaged as a PC add-in card, while larger deskside configurations will provide HDTV resolutions at 50 Hz, enabling radical new applications such as 3D television. WarpEngine will be highly programmable, facilitating use as a test-bed for experimental IBR algorithms.
Performance of Conferencing over MANET Routing Protocols

Wireless ad hoc network represents a system of wireless nodes that can freely and dynamically self-organize into arbitrary and temporary network topologies, allowing people and devices to seamlessly internet-work in areas without any preexisting communication infrastructure. The routing protocols of this network elapsed much time in route discovery and route maintenances. In this research work we have studied the performance of routing protocols DSR and AODV when the nodes involved in video conferencing. Simulation studies show that AODV is better than DSR in coverage area with acceptable delay and packet loss.
Inferring Conceptual Relationships When Ranking Patients

Searching patients based on the relevance of their medical records is challenging because of the inherent implicit knowledge within the patients' medical records and queries. Such knowledge is known to the medical practitioners but may be hidden from a search system. For example, when searching for the patients with a heart disease, medical practitioners commonly know that patients who are taking the amiodarone medicine are relevant, since this drug is used to combat heart disease. In this article, we argue that leveraging such implicit knowledge improves the retrieval effectiveness, since it provides new evidence to infer the relevance of patients' medical records towards a query. Specifically, built upon existing conceptual representation for both medical records and queries, we proposed a novel expansion of queries that infers additional conceptual relationships from domain-specific resources as well as by extracting informative concepts from the top-ranked patients' medical records. We evaluate the retrieval effectiveness of our proposed approach in the context of the TREC 2011 and 2012 Medical Records track. Our results show the effectiveness of our approach to model the implicit knowledge in patient search, whereby the retrieval performance is significantly improved over both an effective conceptual representation baseline and an existing semantic query expansion baseline. In addition, we provide an analysis of the types of queries that the proposed approach is likely to be effective.
A Decision Support System for Finding Research Topic based on Paper Recommendation

Finding a good research topic is very crucial for a researcher, especially a new researcher, such as PhD student. Generally, a PhD student’s research interest in the beginning is not clear, and he have to spend much time reading a lot of research literatures, step by step, his research preference will become clearer and clearer, and easier to find an advanced research topic in which he is really interested. So, reading a certain number of research literatures is critical for a PhD student to find final research topic. But, which literature should be selected to read? How to quickly clear user preference and determine final research topic by reading fewest literatures? As far as we known, there is no system used to support the user to find research topic. In the paper, a research topic decision support system is originally proposed and creatively developed to help a user to quickly find potential research topic based on iteratively paper recommendation. Starting from user’s initial unclear research preference, through continuous recommending appropriate literatures to the user, then the user read and critiques them by rating until he find final research topic. During the process, since the user read the most appropriate literature in each round, he can quickly find the research topic while spending minimal time.
HUBUNGAN INTERAKSI SOSIAL DENGAN KUALITAS HIDUP LANSIA DI UNIT PELAYANAN TERPADU (UPTD) GRIYA WERDHA KOTA SURABAYA TAHUN 2017

The number of elderly in many countries is increasing, including in Indonesia. Along with the increasing number of elderly, many problems will be experienced by the elderly such as psychological disorders, pathological disorders on physical conditions, access to health services that is difficult to obtain and less social support from family or friends. Lack of social support will affect the social interaction of elderly. Social interaction can have a positive impact on the quality of life because the social interaction of the elderly do not feel lonely, therefore social interaction must be developed and maintained in the elderly group. The purpose of this study is to analyze the social interaction with the quality of life of the elderly in UPTD Griya werdha Surabaya. This study used cross sectional study design. The study population is all elderly in UPTD Griya Werdha Surabaya City. The sample size is as much as 52 elderly are taken using simple random sampling method. The dependent variable of the research is the quality of life of the elderly and the independent variable is social interaction. The research instrument used WHOQOL-OLD questionnaire. The result of the research shows taht there is relationship between social interaction with quality of life of elderly in UPTD Griya Werdha Surabaya ( p-value = 0.017). The conclusion of this study is social interaction related to the quality of life of the elderly, the worse the social interaction of the elderly, the lower the quality of life. The suggestion from this research is to increase social interaction of elderly by increasing daily activity of elderly in order to often gather and interact with each other.
Dynamic Principal Component Analysis with Nonoverlapping Moving Window and Its Applications to Epileptic EEG Classification

Classification of electroencephalography (EEG) is the most useful diagnostic and monitoring procedure for epilepsy study. A reliable algorithm that can be easily implemented is the key to this procedure. In this paper a novel signal feature extraction method based on dynamic principal component analysis and nonoverlapping moving window is proposed. Along with this new technique, two detection methods based on extracted sparse features are applied to deal with signal classification. The obtained results demonstrated that our proposed methodologies are able to differentiate EEGs from controls and interictal for epilepsy diagnosis and to separate EEGs from interictal and ictal for seizure detection. Our approach yields high classification accuracy for both single-channel short-term EEGs and multichannel long-term EEGs. The classification performance of the method is also compared with other state-of-the-art techniques on the same datasets and the effect of signal variability on the presented methods is also studied.
Towards a human-like vision system for Driver Assistance

Several advanced driver assistance systems realizing elementary perception and analysis tasks have been introduced to market in recent years. For example, collision mitigation brake systems detect the distance and relative velocity of vehicles in front to assess the risk of a rear-end collision in a clearly defined following situation. In order to go beyond such elementary analysis tasks, todaypsilas research is focusing more and more on powerful perception systems for driver assistance. We believe computer vision will play a central role for achieving a full understanding of generic traffic situations. Besides individual processing algorithms, general vision architectures enabling integrated and more flexible processing are needed. Here we present the first instantiation of a vision architecture for driver assistance systems inspired by the human visual system that is based on task-dependent perception. Core element of our system is a state of the art attention system integrating bottom-up and top-down visual saliency. Combining this task-dependent tunable visual saliency with object recognition and tracking enables for instance warnings according to the context of the scene. We demonstrate the performance of our approach in a construction site setup, where a traffic jam ending within the site is a dangerous situation that the system has to identify in order to warn the driver.
Development and reliability testing of the Scale for the Evaluation of Staff‐Patient Interactions in Progress Notes (SESPI): An assessment instrument of mental health nursing documentation

To develop and test the reliability of the Scale for the Evaluation of Staff‐Patient Interactions in Progress Notes (SESPI). Therapeutic nurse–patient interactions are fundamental in mental health nursing. However, little is known about how these interactions are recorded in nursing documentation and there is no instrument available for collecting this type of information for quantitative analysis.
Model Checking Stochastic Automata for Dependability and Performance Measures

Model checking of Continuous Time Markov Chains (CTMCs) is a widely used approach in performance and dependability analysis and proves for which states of a CTMC a logical formula holds. This viewpoint might be too detailed in several practical situations, especially if the states of the CTMC do not correspond to physical states of the system since they are introduced for example to model non-exponential timing. The paper presents a general class of automata with stochastic timing realized by clocks. A state of an automaton is given by a logical state and by clock states. Clocks trigger transitions and are modeled by phase type distributions or more general state based stochastic processes. The class of stochastic processes underlying these automata contains CTMCs but also goes beyond Markov processes. The logic CSL is extended for model checking automata with clocks. A formula is then proved for an automata state and for the clock states that depend on the past behavior of the automaton. Basic algorithms to prove CSL formulas for logical automata states with complete or partial knowledge of the clock states are introduced. In some cases formulas can be proved efficiently by decomposing the model with respect to concurrently running clocks which is a way to avoid state space explosion.
The K-means with mini batch algorithm for topics detection on online news

Online media is the most important media for accessing a wide range of information, such as news. Nowadays, there are many news agencies publish digital news via online media. The popularity of the online news makes the increasing volume of available news. This leads to the necessity of automated methods for news analysis, i.e. topics detection. One of The topic detection methods is the K-means algorithm. However, this algorithm is slow for big datasets. Therefore, the mini batch approach is used to reduce the computational time. Our experiments show that the computational times of the mini batch approach is much faster for the comparable accuracies.
Design, low cost implementation and comparison of MIMO Mamdani Fuzzy Logic Controllers for wall tracking behavior of mobile robot

This paper describes the design, implementation and comparison of two Mamdani Fuzzy Logic Controllers for wall tracking behavior of mobile robot. Both the controllers take inputs from two ultrasonic sensors and generate motion commands for left and right motors. The controllers are designed using MATLAB and implemented in real time using an inexpensive and readily available microcontroller, AT89C52. The controllers differ in membership functions and the rule base which provides a mean for their comparison. Experimental results have validated both the controllers; however they exhibit different settling time and percentage overshoot due to the difference in the membership functions and the design of rule base.
Accurate Latency Characterization for Very Large Asynchronous Spiking Neural Networks

The simulation problem of very large fully asynchronous Spiking Neural Networks is considered in this paper. To this purpose, a preliminary accurate analysis of the latency time is made, applying classical modelling methods to single neurons. The latency characterization is then used to propose a simplified model, able to simulate large neural networks. On this basis, networks, with up to 100,000 neurons for more than 100,000 spikes, can be simulated in a quite short time with a simple MATLAB program. Plasticity algorithms are also applied to emulate interesting global effects as the Neuronal Group Selection.
Weaving seams with data: Conceptualizing City APIs as elements of infrastructures

This article addresses the role of application programming interfaces (APIs) for integrating data sources in the context of smart cities and communities. On top of the built infrastructures in cities, application programming interfaces allow to weave new kinds of seams from static and dynamic data sources into the urban fabric. Contributing to debates about “urban informatics” and the governance of urban information infrastructures, this article provides a technically informed and critically grounded approach to evaluating APIs as crucial but often overlooked elements within these infrastructures. The conceptualization of what we term City APIs is informed by three perspectives: In the first part, we review established criticisms of proprietary social media APIs and their crucial function in current web architectures. In the second part, we discuss how the design process of APIs defines conventions of data exchanges that also reflect negotiations between API producers and API consumers about affordances and mental models of the underlying computer systems involved. In the third part, we present recent urban data innovation initiatives, especially CitySDK and OrganiCity, to underline the centrality of API design and governance for new kinds of civic and commercial services developed within and for cities. By bridging the fields of criticism, design, and implementation, we argue that City APIs as elements of infrastructures reveal how urban renewal processes become crucial sites of socio-political contestation between data science, technological development, urban management, and civic participation.
Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services

A professional-quality, personal laser scanning (PLS) system for collecting tree attributes was demonstrated in this paper. The applied system, which is wearable by human operators, consists of a multi-constellation navigation system and an ultra-high-speed phase-shift laser scanner mounted on a rigid baseplate and consisting of a single sensor block. A multipass-corridor-mapping method was developed to process PLS data and a 2,000 m2 forest plot was utilized in the test. The tree stem detection accuracy was 82.6%; the root mean square error (RMSE) of the estimates of tree diameter at breast height (DBH) was 5.06 cm; the RMSE of the estimates of tree location was 0.38 m. The relative RMSE of the DBH estimates was 14.63%. The results showed, for the first time, the potential of the PLS system in mapping large forest plots. Further research on mapping accuracy in various forest conditions, data correction methods and multi-sensoral positioning techniques is needed. The utilization of this system in different applications, such as harvester operations, should also be explored. In addition to collecting tree-level and plot-level data for forest inventory, other possible applications of PLS for forest ecosystem services include mapping of canopy gaps, measuring leaf area index of large areas, documenting and visualizing forest routes feasible for recreation, hiking and berry and mushroom picking.
Cytoplasmic dynein/dynactin drives kinetochore protein transport to the spindle poles and has a role in mitotic spindle checkpoint inactivation

We discovered that many proteins located in the kinetochore outer domain, but not the inner core, are depleted from kinetochores and accumulate at spindle poles when ATP production is suppressed in PtK1 cells, and that microtubule depolymerization inhibits this process. These proteins include the microtubule motors CENP-E and cytoplasmic dynein, and proteins involved with the mitotic spindle checkpoint, Mad2, Bub1R, and the 3F3/2 phosphoantigen. Depletion of these components did not disrupt kinetochore outer domain structure or alter metaphase kinetochore microtubule number. Inhibition of dynein/dynactin activity by microinjection in prometaphase with purified p50 “dynamitin” protein or concentrated 70.1 anti-dynein antibody blocked outer domain protein transport to the spindle poles, prevented Mad2 depletion from kinetochores despite normal kinetochore microtubule numbers, reduced metaphase kinetochore tension by 40%, and induced a mitotic block at metaphase. Dynein/dynactin inhibition did not block chromosome congression to the spindle equator in prometaphase, or segregation to the poles in anaphase when the spindle checkpoint was inactivated by microinjection with Mad2 antibodies. Thus, a major function of dynein/dynactin in mitosis is in a kinetochore disassembly pathway that contributes to inactivation of the spindle checkpoint.
Concurrent linguistic annotations for identifying medication names and the related information in discharge summaries

The 2009 I2B2 NLP challenge concentrated on extraction of medication-related information (medication name, its dosage, frequency, mode of administration and reason for prescription). For participation in this challenge, we designed an automatic NLP system exploiting terminological resources and a rule-based approach. We considered the challenge task as annotation and annotation selection problem. Thus, several annotations can be generated concurrently and then modules of the postprocessing step perform cleaning, disambiguation and establishing of dependency relations between medication names and the related information. Our system provides good results for the annotation and extraction of medication names, their frequency, dosage and mode of administration, while information on duration and reasons is poorly annotated and extracted.