Miracle-dz/UniFAR-FTUs huggingface dataset:
Document Sensitivity Classification for Data Leakage Prevention with Twitter-Based Document Embedding and Query Expansion

Document sensitivity classification is essential to prevent potential sensitive data leakage for individuals and organizations. As most of existing methods use regular expressions or data fingerprinting to classify sensitive documents, they may not fully exploit the semantic and content of a document, especially with informal messages and files. This motivates the authors to propose a novel method to classify document sensitivity in realtime with better semantic and content analysis. Taking advantages of deep learning in natural language processing, we use our pre-trained Twitter-based document embedding TD2V to encode a document or a text fragment into a fixed length vector of 300 dimensions. Then we use retrieval and automatic query expansion to retrieve a re-ranked list of semantically similar known documents, and determine the sensitivity score for a new document from those of the retrieved documents in this list. Experimental results show that our method can achieve classification accuracy of more than 99.9% for 4 datasets (snowden, Mormon, Dyncorp, TM) and 98.34% for Enron dataset. Furthermore, our method can early predict a sensitive document from a short text fragment with the accuracy higher than 98.84%.
The h-extra conditional diagnosability of burnt pancake networks under the PMC model

Reliability is a significant measure for evaluating the performance of network, and fault diagnosis plays an inportant role in measuring the reliability of a multiprocessor system. Many scholars have proposed several diagnosic models, and the most popular one is the PMC diagnostic model. Under the PMC model, various types of diagnosability of multi-processor systems have been investigated. The h-extra conditional diagnosability, provided by Zhang et al [22], is a new concept about the diagnosability of a multiprocessor system, which restricts that there are at least h+1 vertices in every component if removing the faulty set in a graph G, and the h-extra conditional diagnosability of a graph G is noted by t<inf>h</inf>(G). In this article, we determine the h-extra conditional diagnosability of burnt pancake networks(denoted by BP<sup>n</sup>) under the PMC model t<inf>h</inf> (BP<inf>n</inf>) = κ<inf>h</inf> (BP<inf>n</inf>) + <sup>h</sup> where 0 ≤ h ≤ 6, n ≤ 8.
Implementing Hybrid Operating Systems with Two-Level Hardware Interrupts

In this paper, we propose to implement hybrid operating systems based on two-level hardware interrupts. To separate real-time and non-real-time hardware interrupts by hardware, we show that it is easier to build up hybrid systems with better performance. We analyze and discuss the key issues for implementing a hybrid system based on this and implement a hybrid system called RTLinux-THIN (Real-Time LINUX with Two-level Hardware Interrupts) on the ARM architecture by combining ARM Linux kernel 2.6. 9 and muC/OS-II. We conduct experiments on a set of real application programs including mplayer [20], Bonnie [4] and iperf [13] and compare the interrupt latency distributions for RTLinux-THIN (with and without cache locking), RTAI and Linux on a hardware platform based on Intel PXA270processor [12]. The experimental results show that RTLinux-THIN improves real-time interrupt latencies and provides better predictability.
A performance analysis exemplar: Parallel ray tracing

Among the many techniques in computer graphics, ray tracing is prized because it can render realistic images, albeit at great computational expense. Ray tracing's large computation requirements, coupled with its inherently parallel nature, make ray tracing algorithms attractive candidates for parallel implementation. In this paper we illustrate the utility and the importance of a suite of performance analysis tools when exploring the performance of several approaches to ray tracing on a distributed memory parallel system. These ray tracing algorithm variations introduce parallelism based on both ray and object partitions. Traditional timing analysis can quantify the performance effects of different algorithm choices (i.e. when an algorithm is best matched to a given problem), but it cannot identify the causes of these performance differences. We argue, by example, that a performance instrumentation system is needed that can trace the execution of distributed memory parallel programs by recording the occurrence of parallel program events. The resulting event traces can be used to compile summary stapistics that provide a global view of program performance. In addition, visualization tools permit the graphic display of event traces. Visual presentation of performance data is particularly useful, indeed, necessary for large-scale, parallel computations; assimilating the enormous volume of performance data mandates visual display.
Lance: optimizing high-resolution signal collection in wireless sensor networks

An emerging class of sensor networks focuses on reliable collection of high-resolution signals from across the network. In these applications, the system is capable of acquiring more data than can be delivered to the base station, due to severe limits on radio bandwidth and energy. Moreover, these systems are unable to take advantage of conventional approaches to in-network data aggregation, given the high data rates and need for raw signals. These systems face an important challenge: how to maximize the overall value of the collected data, subject to resource constraints. In this paper, we describe Lance, a general approach to bandwidth and energy management for reliable data collection in wireless sensor networks. Lance couples the use of optimized, data-driven reliable data collection with a model of energy cost for extracting data from the network. Lance's design decouples resource allocation mechanisms from application-specific policies, enabling flexible customization of the system's optimization metrics. We describe the Lance architecture in detail, demonstrating its use through a range of target applications and resource management policies. We present an extensive study driven by both real and synthetic data distributions, through simulations and runs on a large sensor testbed. We show that Lance maximizes the value of the collected data under a range of resource constraints, achieving near-optimal allocation of radio bandwidth and energy. Finally, we present results from a real sensor network deployment at Tungurahua volcano, Ecuador, in which Lance was used to drive data collection for an eight-node network collecting seismic and acoustic signals from the active volcano.
Antibiotic Prophylaxis in Radical Prostatectomy: Comparison of 2-Day and More than 2-Day Prophylaxis

The efficacy of antibiotic prophylaxis in radical prostatectomy (RP) remains to be established. We retrospectively compared the occurrence of perioperative infections after RP between the 2 different antibiotic protocols. This study involved 428 cases of laparoscopic radical prostatectomy (LRP). After excluding patients who had no perioperative urine culture data, 313 consecutive patients who underwent LRP for prostate carcinoma were classified into 2 groups according to the duration of antimicrobial prophylaxis. To group 1 (153 patients), a second-generation cephalosporin was administered for less than 2 days, whilst the remaining 160 patients in group 2 were administered the drug for more than 2 days. The overall incidence of postoperative bacteriuria was 50.8%, being significantly higher in group 1 (56.9%) than in group 2 (45%). The incidence of surgical site infection (SSI) was significantly higher in group 1 (5.2%) than in group 2 (0.6%). Multivariate analysis revealed that old age, duration of antibiotics for more than 2 days, and duration of Foley catheter placement were independently associated with postoperative infectious complications (all, P < 0.05). Multivariate analysis revealed that duration of antibiotics for more than 2 days, duration of Foley catheter placement, and duration of surgical drain placement were independently associated with postoperative SSI (all, P < 0.05). The incidence of postoperative bacteriuria and SSI were higher in patients who received antibiotics for a short duration. Based on our results, we demonstrated that the outcome of postoperative infectious complications is dependent on old age, short antibiotic administration duration, and prolonged Foley catheterization. Prolonged drain placement is associated with SSI, whilst a longer duration of antibiotics use and prolonged Foley catheterization are associated with a decrease in the incidence of SSI.
Improvement of Cross-Sector Communication in the Integrated Health Environment

Patient care is a complex process with different providers located in various institutions co-operating within an integrated health environment. In spite of technical improvements in medical care, patient information is usually exchanged by paper. Digital and timely communication between regional care providers can improve the exchange of information. Different systems and missing data standards are challenges that have to be met. ByMedConnect, a project sponsored by the Bavarian State Ministry of the Environment and Public Health, develops and demonstrates a communication solution based on the EN 13606 standard. In a first step the dataset, which will be exchanged by the care providers, is defined. ByMedConnect develops the dataset in cooperation with practicing clinicians and converts it via modeling tools into archetypes that provide the base for reliable cross-sector communication. Existing heterogeneous systems are integrated via a dedicated module that transforms legacy data into a normalized representation. Information provided in a standardized form thereby enables semantic interoperability between different systems and allows medical add-on applications to connect. A secure digital communication network guarantees easy and direct data sharing. ByMedConnect aims to evaluate the achieved theoretical preliminary work in practice and to draft approaches, which can be applied beyond the pilot application.
EFFECTS OF CRUSHED STONE AGGREGATE SIZE AND SHAPE ON PROPERTIES OF ASPHALT CONCRETE (WITH DISCUSSION)

In order to provide meaningful data to quantify the benefits of high-stability asphalt mixtures containing crushed aggregates, a comprehensive lab experiment was designed. The primary goals of this research were to evaluate the role of: 1) size and proportion of coarse aggregate; 2) fine aggregate shape; and 3) increased quantity of mineral filler. Discussion is included.
Setting Individualized Positive End-Expiratory Pressure Level with a Positive End-Expiratory Pressure Decrement Trial After a Recruitment Maneuver Improves Oxygenation and Lung Mechanics During One-Lung Ventilation

BACKGROUND:We investigated whether individualized positive end-expiratory pressure (PEEP) improves oxygenation, ventilation, and lung mechanics during one-lung ventilation compared with standardized PEEP. METHODS:Thirty patients undergoing thoracic surgery were randomly allocated to the study or control group. Both groups received an alveolar recruitment maneuver at the beginning and end of one-lung ventilation. After the alveolar recruitment maneuver, the control group had their lungs ventilated with a 5 cm·H2O PEEP, while the study group had their lungs ventilated with an individualized PEEP level determined by a PEEP decrement trial. Arterial blood samples, lung mechanics, and volumetric capnography were recorded at multiple timepoints throughout the procedure. RESULTS:The individualized PEEP values in study group were higher than the standardized PEEP values (10 ± 2 vs 5 cm·H2O; P < 0.001). In both groups, arterial oxygenation decreased when bilateral-lung ventilation was switched to one-lung ventilation and increased after the alveolar recruitment maneuver. During one-lung ventilation, oxygenation was maintained in the study group but decreased in the control group. After one-lung ventilation, arterial oxygenation was significantly higher in the study group (306 vs 231 mm·Hg, P = 0.007). Static compliance decreased in both groups when bilateral-lung ventilation was switched to one-lung ventilation. Static compliance increased significantly only in the study group (P < 0.001) after the alveolar recruitment maneuver and optimal PEEP adjustment. The alveolar recruitment maneuver did not decrease cardiac index in any patient. CONCLUSIONS:During one-lung ventilation, the improvements in oxygenation and lung mechanics after an alveolar recruitment maneuver were better preserved by ventilation by using individualized PEEP with a PEEP decrement trial than with a standardized 5 cm·H2O of PEEP.
Fibroblast growth factor 2 promotes endothelial differentiation of adipose tissue-derived stem cells.

INTRODUCTION Adipose tissue-derived stem cells (ADSC) could potentially restore endothelial function in vasculogenic erectile dysfunction (ED). The mechanism for ADSC endothelial differentiation remained unidentified. AIM To test whether ADSC could differentiate into endothelial cells in the penis and to identify the underlying mechanism of ADSC endothelial differentiation. METHODS For in vivo endothelial differentiation, ADSC were labeled with bromodeoxyuridine (BrdU), injected into rat corpora cavernosa, and localized by immunofluorescence and phase-contrast microscopy. For in vitro endothelial differentiation, ADSC were grown in endothelial growth medium 2 (EGM2), stained for endothelial markers CD31, von Willebrand Factor (vWF), and endothelial nitric oxide synthase (eNOS), and assessed for the ability to form tube-like structures in Matrigel and to endocytose acetylated low-density lipoprotein (Ac-LDL). To identify factors that promote ADSC endothelial differentiation, ADSC were grown in various media, each of which contained a specific combination of supplemental factors and assessed for LDL-uptake. PD173074, a selective inhibitor of fibroblast growth factor 2 (FGF2) receptor, was used to confirm the importance of FGF2 signaling for ADSC endothelial differentiation. MAIN OUTCOME MEASURES In vivo endothelial differentiation was assessed by immunofluorescence microscopy. In vitro endothelial differentiation was assessed by immunofluorescence, Matrigel tube formation, and Ac-LDL uptake. RESULTS Injected ADSC were localized to the sinusoid endothelium, some of which stained positive for both BrdU and endothelial antigen rat endothelial cell antigen. ADSC proliferated at a faster rate in EGM2 than in standard DMEM, expressed endothelial markers CD31, vWF, and eNOS, formed tube-like structures in Matrigel, and endocytosed Ac-LDL. These properties were greatly diminished when ADSC were grown in the absence of FGF2 but were unaffected when grown in the absence of vascular endothelial growth factor, insulin-like growth factor, or epidermal growth factor. Furthermore, ADSC displayed similar endothelial properties when grown in FGF2-supplemented basic medium as in EGM2. Finally, blockade of FGF2 signaling with PD173074 abrogated ADSC endothelial differentiation. CONCLUSIONS ADSC could differentiate into endothelial cells in the penis. FGF2 signaling mediates ADSC endothelial differentiation.
Joint models for information and knowledge extraction

Information and knowledge extraction from natural language text is a key asset for question answering, semantic search, automatic summarization, and other machine reading applications. There are many sub-tasks involved such as named entity recognition, named entity disambiguation, co-reference resolution, relation extraction, event detection, discourse parsing, and others. Solving these tasks is challenging as natural language text is unstructured, noisy, and ambiguous. Key challenges, which focus on identifying and linking named entities, as well as discovering relations between them, include: • High NERD Quality. Named entity recognition and disambiguation, NERD for short, are preformed rst in the extraction pipeline. Their results may a ect other downstream tasks. • Coverage vs. Quality of Relation Extraction. Model-based information extraction methods achieve high extraction quality at low coverage, whereas open information extraction methods capture relational phrases between entities. However, the latter degrades in quality by non-canonicalized and noisy output. These limitations need to be overcome. • On-they Knowledge Acquisition. Real-world applications such as question answering, monitoring content streams, etc. demand on-they knowledge acquisition. Building such an end-to-end system is challenging because it requires high throughput, high extraction quality, and high coverage. This dissertation addresses the above challenges, developing new methods to advance the state of the art. The rst contribution is a robust model for joint inference between entity recognition and disambiguation. The second contribution is a novel model for relation extraction and entity disambiguation on Wikipediastyle text. The third contribution is an end-to-end system for constructing querydriven, on-they knowledge bases.
Note on the quadratic penalties in elastic weight consolidation

Elastic weight consolidation (EWC, Kirkpatrick et al, 2017) is a novel algorithm designed to safeguard against catastrophic forgetting in neural networks. EWC can be seen as an approximation to Laplace propagation (Eskin et al, 2004), and this view is consistent with the motivation given by Kirkpatrick et al (2017). In this note, I present an extended derivation that covers the case when there are more than two tasks. I show that the quadratic penalties in EWC are inconsistent with this derivation and might lead to double-counting data from earlier tasks.
Parallel prototyping leads to better design results, more divergence, and increased self-efficacy

Iteration can help people improve ideas. It can also give rise to fixation, continuously refining one option without considering others. Does creating and receiving feedback on multiple prototypes in parallel, as opposed to serially, affect learning, self-efficacy, and design exploration? An experiment manipulated whether independent novice designers created graphic Web advertisements in parallel or in series. Serial participants received descriptive critique directly after each prototype. Parallel participants created multiple prototypes before receiving feedback. As measured by click-through data and expert ratings, ads created in the Parallel condition significantly outperformed those from the Serial condition. Moreover, independent raters found Parallel prototypes to be more diverse. Parallel participants also reported a larger increase in task-specific self-confidence. This article outlines a theoretical foundation for why parallel prototyping produces better design results and discusses the implications for design education.
Large mesh deformation using the volumetric graph Laplacian

We present a novel technique for large deformations on 3D meshes using the volumetric graph Laplacian. We first construct a graph representing the volume inside the input mesh. The graph need not form a solid meshing of the input mesh's interior; its edges simply connect nearby points in the volume. This graph's Laplacian encodes volumetric details as the difference between each point in the graph and the average of its neighbors. Preserving these volumetric details during deformation imposes a volumetric constraint that prevents unnatural changes in volume. We also include in the graph points a short distance outside the mesh to avoid local self-intersections. Volumetric detail preservation is represented by a quadric energy function. Minimizing it preserves details in a least-squares sense, distributing error uniformly over the whole deformed mesh. It can also be combined with conventional constraints involving surface positions, details or smoothness, and efficiently minimized by solving a sparse linear system.We apply this technique in a 2D curve-based deformation system allowing novice users to create pleasing deformations with little effort. A novel application of this system is to apply nonrigid and exaggerated deformations of 2D cartoon characters to 3D meshes. We demonstrate our system's potential with several examples.
PSAMM: A Portable System for the Analysis of Metabolic Models

The genome-scale models of metabolic networks have been broadly applied in phenotype prediction, evolutionary reconstruction, community functional analysis, and metabolic engineering. Despite the development of tools that support individual steps along the modeling procedure, it is still difficult to associate mathematical simulation results with the annotation and biological interpretation of metabolic models. In order to solve this problem, here we developed a Portable System for the Analysis of Metabolic Models (PSAMM), a new open-source software package that supports the integration of heterogeneous metadata in model annotations and provides a user-friendly interface for the analysis of metabolic models. PSAMM is independent of paid software environments like MATLAB, and all its dependencies are freely available for academic users. Compared to existing tools, PSAMM significantly reduced the running time of constraint-based analysis and enabled flexible settings of simulation parameters using simple one-line commands. The integration of heterogeneous, model-specific annotation information in PSAMM is achieved with a novel format of YAML-based model representation, which has several advantages, such as providing a modular organization of model components and simulation settings, enabling model version tracking, and permitting the integration of multiple simulation problems. PSAMM also includes a number of quality checking procedures to examine stoichiometric balance and to identify blocked reactions. Applying PSAMM to 57 models collected from current literature, we demonstrated how the software can be used for managing and simulating metabolic models. We identified a number of common inconsistencies in existing models and constructed an updated model repository to document the resolution of these inconsistencies.
Conservation Concerns of Small-Scale Fisheries: By-Catch Impacts of a Shrimp and Finfish Fishery in a Sri Lankan Lagoon

By-catch is considered a significant problem in large-scale fisheries yet in small-scale fisheries (SSF), employing >99% of the world's fishers, there is limited quantitative understanding of by-catch, and catches in general. We provide an assessment of by-catch from fishing gears (fyke, trawl, set trammel & drift trammel nets) commonly used in small-scale fisheries across the globe, using a representative Sri Lankan case study and placing this in the context of local resource use patterns. We reveal evidence of how SSF generate significant finfish by-catch with potentially significant ecological impacts. Fishers targeting shrimp (fyke, trawl and drift trammel nets) caught more non-target species than global averages (44%, 44% and 67% by weight respectively). Fishers targeting finfish (set trammel nets) caught fewer non-target species. We found that by-catch depends more on target species and gear type, supporting suggestions that SSF are not “inherently more sustainable” than their large-scale counterparts and a collective effort is required for an improved understanding of the impacts of SSF. This study highlights an additional issue of valuable food fish discards, raising questions about fisheries exploitation in the context of food security in areas where poverty and food insecurity are prevalent.