Miracle-dz/UniFAR-FTUs huggingface dataset:
AMPA Receptors Commandeer an Ancient Cargo Exporter for Use as an Auxiliary Subunit for Signaling

Fast excitatory neurotransmission in the mammalian central nervous system is mainly mediated by ionotropic glutamate receptors of the AMPA subtype (AMPARs). AMPARs are protein complexes of the pore-lining α-subunits GluA1-4 and auxiliary β-subunits modulating their trafficking and gating. By a proteomic approach, two homologues of the cargo exporter cornichon, CNIH-2 and CNIH-3, have recently been identified as constituents of native AMPARs in mammalian brain. In heterologous reconstitution experiments, CNIH-2 promotes surface expression of GluAs and modulates their biophysical properties. However, its relevance in native AMPAR physiology remains controversial. Here, we have studied the role of CNIH-2 in GluA processing both in heterologous cells and primary rat neurons. Our data demonstrate that CNIH-2 serves an evolutionarily conserved role as a cargo exporter from the endoplasmic reticulum (ER). CNIH-2 cycles continuously between ER and Golgi complex to pick up cargo protein in the ER and then to mediate its preferential export in a coat protein complex (COP) II dependent manner. Interaction with GluA subunits breaks with this ancestral role of CNIH-2 confined to the early secretory pathway. While still taking advantage of being exported preferentially from the ER, GluAs recruit CNIH-2 to the cell surface. Thus, mammalian AMPARs commandeer CNIH-2 for use as a bona fide auxiliary subunit that is able to modify receptor signaling.
Factors that influence the application of the concept of new green areas in residential areas using structural equation modeling-part least square (sem-pls

Climate change and global warming or environmental damage and degradation have led to various natural disasters, social disasters and serious economic disasters. Global warming has increasingly affected not only our daily lives but also our business activities. Housing and settlements are one of the basic human needs that must be met to be able to live decently. However, human life and its business activities have not paid enough attention to environmental issues. Excessive exploitation of non-renewable energy beyond normal limits is also damaging to the environment. The application of the new green area concept is a consequence of the increase in the cost of green areas incurred by stakeholders so that residential areas become environmentally friendly, the concept of new green areas, Value Engineering (VE), Life Cycle Cost Analysis (LCCA) are the main factors that influence the improvement of cost performance of implementing the concept new green areas in residential areas in Indonesia, using structural equation model- partial least square (SEM-PLS) analysis. This research has an update related to the concept of applying new green areas to residential areas in Indonesia. The results of this study obtained "10 factors that affect the cost performance of new green areas in residential areas", namely Project Management, Infrastructure and Facilities Burdens, Infrastructure and Facilities Service Functions, Microclimate and Ecosystem Preservation, Environmentally Friendly Materials, Development, Cost Breakdown Structure, LCC Analysis, Evaluation, Value Engineering.
Development of the noise questionnaire in the online learning process and implications for counseling

Starting with online learning requires a lot of attention such as focus, comfortable sitting, and avoiding distractions such as noise. A noise questionnaire instrument is an evaluation tool designed to identify the experience of students in the online learning process. This instrument was developed based on a literature review on noise and online learning. The instrument first stage was given to 110 students and the instrument second stage was given to 460 students in seven universities in Indonesia, 99 male and 361 female respondents aged 18-30 years. The instrument was designed based on DeVito’s noise theory: physical noise, physiological noise, psychological noise, and semantic noise. The statistical test of the instrument used confirmatory factor analysis (CFA) to find the goodness of fit index model. The results of the noise instrument factor analysis show a fit model, acceptable validity, and high internal consistency (α=0.86). The findings of this study produce valid and reliable instruments for identifying noise indicators that are dominant in online learning activities. The results of identifying noise in online learning can be used to design guidance and counseling programs or plan actions to deal with noise in online learning according to the data obtained.
Sensetable: a wireless object tracking platform for tangible user interfaces

In this paper we present a system that electromagnetically tracks the positions and orientations of multiple wireless objects on a tabletop display surface. The system offers two types of improvements over existing tracking approaches such as computer vision. First, the system tracks objects quickly and accurately without susceptibility to occlusion or changes in lighting conditions. Second, the tracked objects have state that can be modified by attaching physical dials and modifiers. The system can detect these changes in real-time. We present several new interaction techniques developed in the context of this system. Finally, we present two applications of the system: chemistry and system dynamics simulation.
Development and validation of the San Diego Early Test Score to predict acute and early HIV infection risk in men who have sex with men.

BACKGROUND Although men who have sex with men (MSM) represent a dominant risk group for human immunodeficiency virus (HIV), the risk of HIV infection within this population is not uniform. The objective of this study was to develop and validate a score to estimate incident HIV infection risk. METHODS Adult MSM who were tested for acute and early HIV (AEH) between 2008 and 2014 were retrospectively randomized 2:1 to a derivation and validation dataset, respectively. Using the derivation dataset, each predictor associated with an AEH outcome in the multivariate prediction model was assigned a point value that corresponded to its odds ratio. The score was validated on the validation dataset using C-statistics. RESULTS Data collected at a single HIV testing encounter from 8326 unique MSM were analyzed, including 200 with AEH (2.4%). Four risk behavior variables were significantly associated with an AEH diagnosis (ie, incident infection) in multivariable analysis and were used to derive the San Diego Early Test (SDET) score: condomless receptive anal intercourse (CRAI) with an HIV-positive MSM (3 points), the combination of CRAI plus ≥5 male partners (3 points), ≥10 male partners (2 points), and diagnosis of bacterial sexually transmitted infection (2 points)-all as reported for the prior 12 months. The C-statistic for this risk score was >0.7 in both data sets. CONCLUSIONS The SDET risk score may help to prioritize resources and target interventions, such as preexposure prophylaxis, to MSM at greatest risk of acquiring HIV infection. The SDET risk score is deployed as a freely available tool at http://sdet.ucsd. edu.
Comparison of Diagnostic Sensitivities for Resectable Pancreatic Adenocarcinoma Between Endoscopic Ultrasound-guided Fine-needle Aspiration and Blinded Computed Tomography

Background: Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is performed for diagnosing pancreatic lesions. As EUS-FNA can develop needle track seeding, its use for radiographically-diagnosed pancreatic malignancy remains controversial. We investigated a useful setting of EUS-FNA for resectable pancreatic adenocarcinoma by comparing the diagnostic sensitivity between EUS-FNA and contrast enhanced-computed tomography (CT), and by evaluating the shortand long-term outcomes. Methods: Between January 2012 and March 2015, 107 consecutive patients underwent resection for pancreatic adenocarcinoma were evaluated retrospectively. Shortand longterm outcomes were compared between patients receiving EUS-FNA and patients who did not. Results: EUS-FNA was performed for 52 patients (48.6%). Diagnostic sensitivity of EUS-FNA (90.4%) was significantly higher than for blinded CT(69.2%) (p=0.021). EUS-FNA accurately diagnosed pancreatic adenocarcinoma in 16 of 16 (100%) patients who had small tumor diameter, autoimmune pancreatitis, or IPMN-related tumor although they were not correctly diagnosed by radiographic findings. In particular, the sensitivity of EUS-FNA was approximately 90%, irrespective of tumor size, while that for blinded CT was low in cases with a small tumor size (46% for TS1 tumor). Preoperative EUS-FNA was not associated with overall survival (p=0.958), recurrence-free survival (p=0.357), and relapse rate at peripancreatic tissue and/or peritoneum(p=0.641). Conclusion: EUS-FNA is particularly useful for diagnosing small pancreatic ductal adenocarcinoma, adenocarcinoma with pancreatitis or IPMN-related adenocarcinoma, providing high diagnostic sensitivity and acceptable prognostic outcomes. Abbreviations: AC, adjuvant chemotherapy; ASA, American Society of Aesthesiologists; CA19-9, carbohydrate antigen 19-9; CE, contrast enhanced, CEA, carcinoembryonic antigen; CI, confidence interval; CT, computed tomography; DUPAN-2, duke pancreatic monoclonal antigen type 2; EUS, endoscopic ultrasound; FNA, fine-needle aspiration; HR, hazard ratio; IPMC, intrapapillary mucinous carcinoma; OS, overall survival; RFS, recurrence-free survival; Span-1, s-pancreas-1 antigen; TS, tumor size; UICC, International Union Against Cancer. Key word: Endoscopic ultrasound fine-needle aspiration, Pancreatic adenocarcinoma, Peritoneal dissemination Hepato-Biliary-Pancreatic Surgery Division, Department of Surgery, Graduate School of Medicine, the University of Tokyo, Japan Department of Radiology, Graduate School of Medicine, the University of Tokyo, Japan Department of Gastroenterology, Graduate School of Medicine, the University of Tokyo, Japan DOI: 10.21614/sgo-23-5-320 Surg. Gastroenterol. Oncol. 2018;23(5):320-329
Similarities in resting state and feature-driven activity: Non-parametric evaluation of human fMRI

Introduction and Motivation: fMRI is a natural source of high-dimensional time series data. Recordings are typically acquired in several hour sessions, with processing and analysis done offline. Due to the short amount of recording time available from any session, there is an imbalance between the comparatively small number of time slices and the high dimensionality of the data at each slice. Additionally, low spatial variation in the activation across voxels may imply the need for a spatial regularizer. Classical statistical tests, such as the Kolmogorov-Smirnov test of independence work on univariate data samples [5]. Recent extensions to high-dimensional non-parametric testing typically do not assume spatial or temporal dependence [3]. While these statistical tests are nevertheless commonly applied to fMRI recordings, the underlying generating process clearly violates the assumptions inherent in the design of the statistical tests.
Computing Slater Rankings Using Similarities among Candidates

Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One important voting rule is the Slater rule. It selects a ranking of the alternatives (or candidates) to minimize the number of pairs of candidates such that the ranking disagrees with the pairwise majority vote on these two candidates. The use of the Slater rule has been hindered by a lack of techniques to compute Slater rankings. In this paper, we show how we can decompose the Slater problem into smaller subproblems if there is a set of similar candidates. We show that this technique suffices to compute a Slater ranking in linear time if the pairwise majority graph is hierarchically structured. For the general case, we also give an efficient algorithm for finding a set of similar candidates. We provide experimental results that show that this technique significantly (sometimes drastically) speeds up search algorithms, Finally, we also use the technique of similar sets to show that computing an optimal Slater ranking is NP-hard. even in the absence of pairwise ties.
On the performance of golden space-time trellis coded modulation over MIMO block fading channels

The Golden space-time trellis coded modulation (GST-TCM) scheme was proposed for a high rate 2 times 2 multiple-input multiple-output (MIMO) system over slow fading channels. In this letter, we present the performance analysis of GST-TCM over block fading channels, where the channel matrix is constant over a fraction of the codeword length and varies from one fraction to another, independently. In practice, it is not useful to design such codes for specific block fading channel parameters and a robust solution is preferable. We then show both analytically and by simulation that the GST-TCM designed for slow fading channels are indeed robust to all block fading channel conditions.
Fast forensic video event retrieval using geospatial computing

This paper presents a fast forensic video events analysis and retrieval system in a geospatial framework. Starting from tracking targets and analyzing video streams from distributed camera networks, the system generates video tracking metadata for each video, maps and fuses them in a uniform geospatial coordinate. The combined metadata is saved into spatial database where target trajectories are represented in geometry and geography data type. Powered by spatial functions of database, various video events such as crossing a line, entering an area, loitering and meeting, are detected by executing stored procedures that we have implemented. Geographic information system(GIS) data of Tiger-Line and GeoNames are integrated with this system to provide contextual information for more advanced forensic queries. A semantic data mining system is also attached to generate text descriptions of events and scene contextual information. The NASA World Wind is the geobrowser used to submit queries and visualize result. The main contribution of this system is that it initiates in running video event retrieval using geospatial computing techniques. This interdisciplinary combination makes this system scalable and manageable for large amount of video data from distributed cameras. It also makes the online video search possible by filtering tremendous amount of data efficiently using geospatial index techniques. From the application point of view, it extends the frontier of geospatial application by presenting a forward-looking application model.
Tracking of interacting targets

In this paper we present a method for the tracking of interacting targets disregarding whether or not the targets are close to each other. The method relies on parametric modeling of assumptions about targets interactive motion. Our filtering solution incorporates the parameters of the model in the state vector to perform on-line parameter estimation and exploitation. The proposed method is applied in a simulated Multiple Target Tracking application with radar track-before-detect measurements. Numerical experiments show that this approach results in estimation error reduction, allows detection of interactive target behaviors and reduce labeling uncertainty in closely-spaced targets tracking.
Alterations in mitochondrial structure and function are early events of dexamethasone-induced thymocyte apoptosis

In this paper we used a multiparametric approach to analyze extensively the events occurring during apoptotic cell death of thymocytes, and furthermore, we asked whether alterations in mitochondrial structure and function are occurring in early stages of apoptosis. A multiparametric quantitative analysis was performed on normal or apoptotic thymocytes emerging from a few-hour culture performed in culture medium or in the presence of dexamethasone. Simultaneous detection of light scattering properties, integrity of plasma membrane (trypan blue exclusion), chromatin condensation (AO/EB staining of entire cells or PI staining of nuclei), and DNA fragmentation (in situ nick-translation in apoptotic cells) allowed a precise analysis of the preapoptotic and apoptotic stages. Moreover a thorough study of mitochondrial transmembrane potential (delta psi m) assessed following in a time course study the uptake by apoptotic cells of the cationic lipophilic dye DiOC6(3) or the J-aggregate-forming cation JC-1, indicates that a drop in delta psi m occurs very early in thymocyte apoptosis, before DNA fragmentation. This is associated with alteration in mitochondrial structure assessed by cytofluorimetric study of NAO uptake in apoptotic cells. Finally these dramatic alterations in mitochondrial structure and function occurring in early stages of apoptosis were confirmed by confocal and electron microscopy analysis.
Multifunctional, Electrically Small, Planar Near-Field Resonant Parasitic Antennas

Planar analogs of previously reported electrically small, electric metamaterial-inspired, near-field resonant parasitic (NFRP) antennas are reported. As with the nonplanar designs, the driven and parasitic elements in each presented case are designed to achieve nearly complete matching of the entire system to a 50-Ω source without any matching network and to yield a high radiation efficiency. By introducing multiple NFRP elements, linearly polarized (LP) dual-band and circularly polarized (CP) planar NFRP antennas are realized. These low-profile designs are validated with experimental results.
Normal Values of Left Atrial Volume in Pediatric Age Group Using a Validated Allometric Model

Background—Left atrial volume (LAV) increase is an indicator of diastolic dysfunction and a surrogate marker of significant left to right shunts. Normalization of LAV is currently performed by indexing to body surface area1 (BSA1). The indexed LAV thus derived does not account for the nonlinear relationship of physiologic variables to BSA and has not been tested for independence to body size. Our objective was to identify a valid allometric model for indexing LAV and use it to develop Z-scores in children. Methods and Results—LAV was measured in 300 normal subjects by echocardiography using the biplane area length method. LAV/BSA1 had a residual relationship to BSA (r=0.52, P<0.0001). The allometric exponent (AE) derived for the entire cohort (1.27) using the least squares regression analysis also failed to eliminate the residual relationship to BSA (r=−0.15, P=0.01). Dividing the cohort in two groups with a BSA cut-off of 1 m2 provided the best-fit allometric model. The AE for each group was 1.48 and 1.08 for BSA⩽1 m2 and >1 m2, respectively, and was validated against an independent sample. The mean indexed LAV±SD for BSA⩽1 m2 and >1 m2 is 31.5±5.5 mL and 26.0±4.2 mL, respectively, and was used to derive Z-scores. Conclusions—This study demonstrates the fallacy of using “per-BSA1 standards” for normalization of LAV in pediatrics. LAV/BSA1.48 for children with BSA⩽1 m2 and LAV/BSA1.08 for those with BSA>1 m2 is accurate and can be used to derive Z-scores.
Control of exhaust recompression HCCI using hybrid model predictive control

Homogeneous Charge Compression Ignition (HCCI) holds promise for reduced emissions and increased efficiency compared to conventional internal combustion engines. As HCCI lacks direct actuation over the combustion phasing, much work has been devoted to designing controllers capable of set-point tracking and disturbance rejection. This paper presents results on model predictive control (MPC) of the combustion phasing in an HCCI engine based on a hybrid model formulation composed of several linearizations of a physics-based nonlinear model. The explicit representation of the MPC was implemented experimentally and the performance during set point changes was compared to that of a switched state feedback controller. The hybrid MPC produced smoother transients without overshoot when the set point change traversed several linearizations.
An XML Based Solution to Delivering Adaptive Web Content for Mobile Clients

Due to mobile device proliferation, content providers can no longer deliver only one version of their content to the users, as they need to deliver an appropriate form of content depending on the capabilities of the viewing devices. Web authors either create multiple versions of the same content for each device, or depend on some intermediaries to do the transformation. In this paper, we propose two new approaches to the adaptive mobile content delivery based on the XML metadata. The first approach, called partiality adaptation, allows web authors to create one version of an XHTML page whose various parts could fit various devices. The second approach, called versioning negotiation, improves the efficiency of content negotiation by eliminating the resource description files. We further present our adaptation algorithms on both client and server side to reflect user intents. We also analyze the performance of our approaches based on three experiments conducted on different mobile devices.
The hBP-tree: A Modified hB-tree Supporting Concurrency, Recovery and Node Consolidation

We describe a new access method, the hB”-tree, an adaptation of the hB-tree index to the constraints of the II-tree . The II-trees, a generalization of the Blink-trees, provide high concurrency with recovery, because they break down structure modification into a series of short atomic actions. In addition, the IItrees include a node consolidation algorithm. The hB-tree is, a multi-attribute index which is highly insensitive to dimensionality, but which has no node consolidation algorithm and has a flaw in its split/post algorithm in certain special cases. The hB”-tree corrects the splitting/posting algorithm and adapts the concurrency, recovery and node consolidation of the II-tree to the hB-tree. The combination makes the hBn-tree suitable for inclusion in a general purpose database management system.supporting multi-attribute and spatial queries. keywords: indexing, B-trees, multi-attribute access methods, spatial access methods, concurrency, recovery
Management of Asymptomatic Severe Aortic Stenosis

Patients with symptomatic severe aortic stenosis (AS) benefit from aortic valve replacement surgery, but the management of patients with asymptomatic severe AS is more controversial. While cholesterol and angiotensin have been linked to AS progression, we should await the results of ongoing randomized trials before medical therapy to lower cholesterol or inhibit angiotensin can be recommended to limit disease progression. Clinical factors, echocardiographic parameters, valve morphology, exercise stress testing results, and cardiac biomarkers may be useful in identifying patients who will have early development of symptoms during follow-up and require closer monitoring. The risks associated with aortic valve replacement outweigh the benefits in the majority of patients with asymptomatic severe AS.