Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyses of RDF Triples in Sample Datasets

Linked Data principles supported especially by RDF triples appeared recently to enrich the Web of Documents by the Web of Data. However, each application that wants to process RDF triples has to deal with their distribution, dynamics and scaling. Thus, having understood structural and other features of such data, we may have better chances to propose these applications more efficiently. Especially when we consider issues of data storing, indexing and querying. The aim of this paper is to propose characteristics that appropriately capture and describe such features of RDF triples, and to provide experimental results over a few selected real-world RDF datasets.
Determination of optimum laser parameters for cartilage reshaping in porcine septum using Nd:YAG laser (λ=1.32 μm)

In this study, a computer-controlled instrument was designed and constructed in order to systematically evaluate the effect of laser dosimetry on shape change during laser- mediated cartilage reshaping. Porcine nasal septal cartilage specimens, stripped of periocondrium were cut (25 x 5 x 2 mm) using a custom guillotine microtome and bent into a cylindrical shape (7.38 mm bend radius) using a jig constructed from aluminium tubing and high tension wire. Each specimen was irradiated (Nd:YAG laser λ= 1.32 μm, 6-10 W, 2-16 s pulse duration, 31-51 W/cm2) in five distinct regions using a pattern that maximized cooling between laser exposures. Real-time measurements of tissue optical properties and surface temperatures were recorded during each laser exposure as these features correlate with the onset of stress relaxation and shape change. After irradiation, each specimen was re-hydrated in saline solution (15 minutes), removed from the jig, and photographed with a digital camera. The radius of curvature of the specimen was compared to the radius (7.38 mm) of the reshaping jig. Optimal reshaping (greatest degree of curvature) was observed at 6W, with an irradiation time of 16s, or alternately at 10W, with an irradiation time of 8s.
The Role of Laparoscopy in Penetrating Abdominal Trauma

Background: Minimally invasive surgery has become increasingly utilized in the trauma setting. When properly applied, it offers several advantages, including reduced morbidity, lower rates of negative laparotomy, and shortened length of hospital stay. The purpose of this study was to evaluate the role of laparoscopy in the management of trauma patients with penetrating abdominal injuries. Methods: We conducted a 3-year retrospective chart review of 4541 trauma patients admitted to our urban Level II trauma center. Penetrating abdominal injuries accounted for 209 of these admissions. Patients were divided into 3 treatment groups based on the characteristics of their abdominal injuries. Management was either observation, immediate laparotomy, or screening laparoscopy. Results: Thirty-three patients were observed in the Emergency Department based on their initial physical examination and radiologic studies. After Emergency Department evaluation, 154 patients underwent immediate laparotomy. In this group, 119 therapeutic laparotomies, 11 nontherapeutic laparotomies, and 24 negative laparotomies were performed. A review of the negative laparotomies revealed that possibly 8 of 10 gun shot wounds and all 14 stab wounds could have been done laparoscopically. Twenty-two patients underwent laparoscopic evaluation, 9 of which were converted to open procedures. Conclusion: Minimally invasive surgical techniques are particularly helpful as a screening tool for anterior abdominal wall wounds and lower chest injuries to rule out peritoneal penetration. Increased use of laparoscopy in select patients with penetrating abdominal trauma will decrease the rate of negative and nontherapeutic laparotomies, thus lowering morbidity and decreasing length of hospitalization. As technology and expertise among surgeons continues to improve, more therapeutic intervention may be done laparoscopically in the future.
Requirement of PML SUMO Interacting Motif for RNF4- or Arsenic Trioxide-Induced Degradation of Nuclear PML Isoforms

PML, the organizer of nuclear bodies (NBs), is expressed in several isoforms designated PMLI to VII which differ in their C-terminal region due to alternative splicing of a single gene. This variability is important for the function of the different PML isoforms. PML NB formation requires the covalent linkage of SUMO to PML. Arsenic trioxide (As2O3) enhances PML SUMOylation leading to an increase in PML NB size and promotes its interaction with RNF4, a poly-SUMO-dependent ubiquitin E3 ligase responsible for proteasome-mediated PML degradation. Furthermore, the presence of a bona fide SUMO Interacting Motif (SIM) within the C-terminal region of PML seems to be required for recruitment of other SUMOylated proteins within PML NBs. This motif is present in all PML isoforms, except in the nuclear PMLVI and in the cytoplasmic PMLVII. Using a bioluminescence resonance energy transfer (BRET) assay in living cells, we found that As2O3 enhanced the SUMOylation and interaction with RNF4 of nuclear PML isoforms (I to VI). In addition, among the nuclear PML isoforms, only the one lacking the SIM sequence, PMLVI, was resistant to As2O3-induced PML degradation. Similarly, mutation of the SIM in PMLIII abrogated its sensitivity to As2O3-induced degradation. PMLVI and PMLIII-SIM mutant still interacted with RNF4. However, their resistance to the degradation process was due to their inability to be polyubiquitinated and to recruit efficiently the 20S core and the β regulatory subunit of the 11S complex of the proteasome in PML NBs. Such resistance of PMLVI to As2O3-induced degradation was alleviated by overexpression of RNF4. Our results demonstrate that the SIM of PML is dispensable for PML SUMOylation and interaction with RNF4 but is required for efficient PML ubiquitination, recruitment of proteasome components within NBs and proteasome-dependent degradation of PML in response to As2O3.
Research Paper: Strategies for Detecting Adverse Drug Events among Older Persons in the Ambulatory Setting

OBJECTIVE To examine various strategies for the identification of adverse drug events (ADEs) among older persons in the ambulatory clinical setting. DESIGN A cohort study of Medicare enrollees (n = 31,757 per month) receiving medical care from a large multispecialty group practice during a 12-month observation period (July 1, 1999 through June 30, 2000). MEASUREMENTS Possible drug-related incidents occurring in the ambulatory clinical setting were detected using signals from multiple sources. RESULTS During the tracking period, there were 1,523 identified ADEs, of which 421 (28%) were considered preventable. Across all sources, 23,917 signals were found; 12,791 (53%) were potential incidents that led to review of a patient's medical record and 2,266 (9%) were presented to physician reviewers. Although the positive predictive value (PPV) for reports from providers was high compared with other sources (54%), only 11% of the ADEs and 6% of the preventable ADEs were identified through this source. PPVs for other sources ranged from a low of 4% for administrative incident reports to a high of 12% for free-text review of electronic notes. Computer-generated signals were the source for 31% of the ADEs and 37% of the preventable ADEs. Electronic notes were the source for 39% of the ADEs and 29% of the preventable ADEs. There was little overlap in the ADEs identified across all sources. CONCLUSION Our findings emphasize the limitations of voluntary reporting by health care providers as the principal means for detection of ADEs and suggest that multiple strategies are required to detect ADEs in geriatric ambulatory patients.
The expanding role of mouse genetics for understanding human biology and disease

It has taken about 100 years since the mouse first captured our imagination as an intriguing animal for it to become the premier genetic model organism. An expanding repertoire of genetic technology, together with sequencing of the genome and biological conservation, place the mouse at the foremost position as a model to decipher mechanisms underlying biological and disease processes. The combined approaches of embryonic stem cell-based technologies, chemical and insertional mutagenesis have enabled the systematic interrogation of the mouse genome with the aim of creating, for the first time, a library of mutants in which every gene is disrupted. The hope is that phenotyping the mutants will reveal novel and interesting phenotypes that correlate with genes, to define the first functional map of a mammalian genome. This new milestone will have a great impact on our understanding of mammalian biology, and could significantly change the future of medical diagnosis and therapeutic development, where databases can be queried in silico for potential drug targets or underlying genetic causes of illnesses. Emerging innovative genetic strategies, such as somatic genetics, modifier screens and humanized mice, in combination with whole-genome mutagenesis will dramatically broaden the utility of the mouse. More significantly, allowing genome-wide genetic interrogations in the laboratory, will liberate the creativity of individual investigators and transform the mouse as a model for making original discoveries and establishing novel paradigms for understanding human biology and disease.
TACTUX: a tactile user experience assessment board

We introduce TACTUX -- Tactile User Experience Assessment Board, a tool to assess user experience through tactile properties. The results of using TACTUX in a preliminary user study with 19 participants show that tactile surface properties can successfully be used for self-assessment of user experience. 14 of 19 participants stated that it was easy to express their experience by using tactile surface properties. TACTUX has advantages over classical methods of user experience self-assessments (e.g. questionnaires): It can be used by a broad range of user groups and stimulates participants to talk about their experience when using interactive systems.
Classification of Wind Power Forecasting According to Time

In this paper, an overview of new and current developments in wind forecasting is given where the focus lies upon principles and practical implementations. High penetration of wind power in the electricity system provides many challenges to the power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accurate forecasting method of wind speed and power generation can help the power system operators reduce the risk of unreliability of electricity supply. This paper gives a literature survey on the categories and major methods of wind forecasting. Based on the assessment of wind speed and power forecasting methods, the future development direction of wind forecasting is proposed.
Phase I Trial of Triapine–Cisplatin–Paclitaxel Chemotherapy for Advanced Stage or Metastatic Solid Tumor Cancers

Ribonucleotide reductase (RNR) is an enzyme involved in the de novo synthesis of deoxyribonucleotides, which are critical for DNA replication and DNA repair. Triapine is a small-molecule RNR inhibitor. A phase I trial studied the safety of triapine in combination with cisplatin–paclitaxel in patients with advanced stage or metastatic solid tumor cancers in an effort to capitalize on disrupted DNA damage repair. A total of 13 patients with various previously treated cancers were given a 96-h continuous intravenous (i.v.) infusion of triapine (40–120 mg/m2) on day 1, and then 3-h i.v. paclitaxel (80 mg/m2) followed by 1-h i.v. cisplatin (50–75 mg/m2) on day 3. This combination regimen was repeated every 21 days. The maximum tolerated dose (MTD) for each agent was identified to be triapine (80 mg/m2), cisplatin (50 mg/m2), and paclitaxel (80 mg/m2). Common grade 3 or 4 toxicities included reversible anemia, leukopenia, thrombocytopenia, or electrolyte abnormalities. The combination regimen of triapine–cisplatin–paclitaxel resulted in no objective responses; however, five (83%) of six patients treated at the MTD had stable disease between 1 and 8 months duration. This phase I study showed that the combination regimen of triapine–cisplatin–paclitaxel was safe and provides a rational basis for a follow-up phase II trial to evaluate efficacy and progression-free survival in women with metastatic or recurrent uterine cervix cancer.
Effect of chemical blowing agent on the hygroscopic behavior of HDPE/rice husk flour composites

The effect of chemical blowing agent on the cell morphology and long-term water absorption and thickness swelling of composites based on high-density polyethylene/rice husk flour were studied in this research. Composite materials containing high-density polyethylene, rice husk flour, chemical blowing agent and coupling agent were melt compounded using twin-screw extruder. Then, the samples were foamed via batch process using a compression molding machine. The results showed that the water absorption, thickness swelling, cell size and average cell density of composites increased by addition of chemical blowing agent. The mechanism of water absorption of the foamed wood plastic composites under study followed the kinetics of a Fickian diffusion process. Furthermore, adding the chemical blowing agent had effect on water diffusion coefficients and swelling rate parameter (K SR) of composites.
150-nm tuning range in a grating-coupled external cavity quantum-dot laser

An antireflection (AR) coated single-stack quantum-dot (QD) laser in a grating-coupled external cavity is shown to operate across a tuning range from 1.095 /spl mu/m to 1.245 /spl mu/m. This 150-nm range extends from the energy levels of the ground state to excited states. At any wavelength, the threshold current density is no greater than 1.1 kA/cm/sup 2/. This large tunable range is the product of the rapid carrier filling of the higher energy states under a low pumping current and homogeneous broadening in the QD ensemble. The possibility of a larger tuning range is discussed with the further improvement of the AR-coating.
HAMSTER: Human Assisted Mapping of Schema & Taxonomies to Enhance Relevance

We address the problem of unsupervised matching of schema information from a large number of data sources into the schema of a data warehouse. The matching process is the rst step of a framework to integrate data feeds from thirdparty data providers into a structured-search engine’s data warehouse. Our experiments show that traditional schemabased and instance-based schema matching methods fall short. We propose a new technique based on the search engine’s clicklogs. Two schema elements are matched if the distribution of keyword queries that cause click-throughs on their instances are similar. We present experiments on large commercial datasets that show the new technique has much better accuracy than traditional techniques.
Interference Distribution in the Nakagami FadingWireless CDMA Ad Hoc Networks with Multi-Code Multi-Packet Transmission (MCMPT)

In this paper, we derive the distribution of multiple access interference (MAI) power for wireless code division multiple access (CDMA) ad hoc networks operating in a general Nakagami-m fading channel model. Furthermore, we propose a multi-code multi-packet transmission (MCMPT) scheme for it to increase the performance, in terms of the expected forward progress. Based on the instantaneous good channel conditions in a Nakagami-m fading channel, a node can initiate flexible number of parallel transmission of multiple packets on multiple codes. Numerical results show that adaptive MCMPT considering varying channel conditions not only outperforms the nonadaptive conventional packet transmission (CPT), but also achieves better progress improvement with the increasing values of parameter m in a slowly-varying Nakagami-m fading channel
Antioxidant Activity of Leaf Extracts from Different Hibiscus sabdariffa Accessions and Simultaneous Determination Five Major Antioxidant Compounds by LC-Q-TOF-MS

Hibiscus sabdariffa has gained attention for its antioxidant activity. There are many accessions of H. sabdariffa in the world. However, information on the quantification of antioxidant compounds in different accessions is rather limited. In this paper, a liquid chromatography/quadrupole-time-of-flight mass spectrometry (LC-Q-TOF-MS) method for simultaneous determination of five antioxidant compounds (neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, rutin, and isoquercitrin) in H. sabdariffa leaves was developed. The method was validated for linearity, sensitivity, precision, repeatability and accuracy. The validated method has been successfully applied for determination of the five analytes in eight accessions of H. sabdariffa. The eight accessions of H. sabdariffa were evaluated for their antioxidant activities by DPPH free radical scavenging assay. The investigated accessions of H. sabdariffa were rich in rutin and exhibited strong antioxidant activity. The two accessions showing the highest antioxidant activities were from Cuba (No. 2) and Taiwan (No. 5). The results indicated that H. sabdariffa leaves could be considered as a potential antioxidant source for the food industry. The developed LC-Q-TOF-MS method is helpful for quality control of H. sabdariffa.
Using Group Interaction of Players to Prevent In-game Cheat in Network Games

Network games have become a popular social experience, while problem of in-game cheat (e.g. trade cheat, fraud and so on) has not an effective solution by now. It is reasonable to believe that cheaters and normal players have low group interactions with each other, and friends have high group interactions with each other. So, group interactions of players can help a given player to distinguish between righteous players who have high frequency of group interactions with famous virtuous roles or his dependable friends and suspectable players who have high frequency of group interactions with notorious roles. Some other suspectable players always like to be alone. In this paper, we develop an algorithm to visualize group interactions according to psychology of players and rules of the game system, and then we propose a simple method to prevent in-game cheat.
A lobster-inspired robotic glove for hand rehabilitation

This paper presents preliminary results of the design, development, and evaluation of a hand rehabilitation glove fabricated using lobster-inspired hybrid design with rigid and soft components for actuation. Inspired by the bending abdomen of lobsters, hybrid actuators are built with serially jointed rigid shells actuated by pressurized soft chambers inside to generate bending motions. Such bio-inspiration absorbs features from the classical rigid-bodied robotics with preciselydefined motion generation, as well as the emerging soft robotics with light-weight, physically safe, and adaptive actuation. The fabrication procedure is described, followed by experiments to mechanically characterize these actuators. Finally, an open-palm glove design integrated with these hybrid actuators are presented for a qualitative case study. A hand rehabilitation system is developed by learning patterns of the sEMG signals from the users forearm to train the assistive glove for hand rehabilitation exercises.
Liquid: Unifying Nearline and Offline Big Data Integration

With more sophisticated data-parallel processing systems, the new bottleneck in data-intensive companies shifts from the back-end data systems to the data integration stack, which is responsible for the pre-processing of data for back-end applications. The use of back-end data systems with different access latencies and data integration requirements poses new challenges that current data integration stacks based on distributed file systems—proposed a decade ago for batch-oriented processing—cannot address. In this paper, we describe Liquid, a data integration stack that provides low latency data access to support near real-time in addition to batch applications. It supports incremental processing, and is cost-efficient and highly available. Liquid has two layers: a processing layer based on a stateful stream processing model, and a messaging layer with a highly-available publish/subscribe system. We report our experience of a Liquid deployment with backend data systems at LinkedIn, a data-intensive company with over 300 million users.
Moisture absorption and mechanical performance of surface mountable plastic packages

The results of moisture-absorption tests on 68L plastic-leaded chip-carriers (PLCC) are presented. Environmental variables include both temperature (30, 40, 50, 60 and 85 degrees C) and relative humidity (24, 40, 60 and 85%). Control samples of pure molding compound were tested to determine the effect of leads on the PLCC samples. Comparison was made between absorbed moisture measurements and predictions based on the one-dimensional Fickian diffusion solution. Nonlinear regression analysis indicates that Fickian diffusion behavior represents the actual moisture absorption for relative humidities below 85%. At 85% RH, however, the deviation becomes significant after 500 hr. On the basis of the agreement at moderate values of relative humidity and time, analytical models were developed that show the effect of temperature and relative humidity on moisture mass gain and diffusion coefficient. A stress and deformation analysis was performed to predict the envelope in parameter space separating cracked and uncracked packages. The model used depends on the presence of saturated water between the die paddle and the molding compound. Doming of the plastic underneath the paddle is attributed to flashing of all the trapped liquid water to steam. <<ETX>>
A Hybrid Regularizer Combining Orthonormal Wavelets and Finite Differences for Statistical Reconstruction in 3-D CT

Statistical reconstruction methods for X-ray CT rely on regularization to yield good quality images. We propose and investigate a specific type of nonquadratic regularization for 3-D CT reconstruction that corresponds to applying a 2-D orthonormal wavelet transform (OWT) on trans-axial slices and finite differences (FD) along the axial direction. We use an iterative variable-splitting-basedalternating direction method of multipliers (ADMM) reconstruction algorithm that effectively handles the proposed regularizer. We also present a simple procedure to incorporate iteration-dependent random shifting to circumvent the shift-variance of OWT and to reduce block artifacts. The proposed regularizer requires less memory compared to those that use FDs and is thus advantageous for ADMM that stores and manipulates auxiliary variables related to the regularizer. We demonstrate using simulation with a 3-D XCAT phantom that the proposed regularizer yields images that are visually comparable in quality to those obtained using a regularizer composed of FDs.
Doppler characteristics of micro-drones with L-Band multibeam staring radar

Unmanned Aerial Systems (UAS), commonly referred to as drones, are rapidly proliferating. The accessibility of this technology is bringing about new challenges for security and safety. It is the class of micro-UAS which are raising particular concerns. The reason being their small size and ability to fly low in a highly irregular manner makes them particularly difficult to detect with conventional wide-area surveillance sensors such as a scanning radar. Here, we use Holographic Radar (HR), a 3-D, L-Band, staring surveillance radar capable of achieving high detection sensitivity. Whilst HR is able to detect miniature UAS against a background of complex clutter, the necessary high detection sensitivity means that many other small moving targets are detected, birds being a principle example. Good Doppler discrimination is central to the ability to distinguish between genuine drones and other targets reported by the radar sensor. Here, results are presented showing the Doppler characteristics of rotary wing micro-drones in both land and sea clutter.