Miracle-dz/UniFAR-FTUs huggingface dataset:
Luminescence Emission Properties of  $({\rm Lu},{\rm Y})_{2}{\rm SiO}_{5}$:Ce (LYSO:Ce) and $({\rm Lu},{\rm Y}){\rm AlO}_{3}$:Ce (LuYAP:Ce) Single Crystal Scintillators Under Medical Imaging Conditions

LYSO:Ce and LuYAP:Ce are single crystal non-hygroscopic scintillators of high density, high light yield and short decay time, which have been successfully used in small animal PET imagers. In the present study, the luminescence emission properties of (Lu0.9, Y0.1)2SiO5:Ce (LYSO:Ce) and (Lu0.7, Y0.3)AIO3:Ce (LuYAP:Ce) crystals were investigated for use in X-ray medical imaging. Both crystals had dimensions of 2 times 2 times 8 mm3, with all surfaces polished. Evaluation was performed by determining the X-ray luminescence efficiency (XLE) (emitted light energy flux over incident X-ray energy flux) and the detector optical gain (DOG) (emitted light photons per incident x-ray photon) in a wide range of X-ray energies employed in mammography (22-49 kVp) and in general X-ray imaging (50-140 kVp). Measurements were performed using an experimental set-up based on a photomultiplier coupled to an integration sphere. The emission spectrum under X-ray excitation was measured using an optical grating monochromator to determine the spectral compatibility to various optical photon detectors incorporated in medical imaging detectors. Optical characteristics such as transmission and absorption spectra were investigated in addition to the scintillation properties. The light emission performance of the two scintillation materials studied was found adequately high for X-ray imaging.
What are the equilibria in linear public-good experiments?

Most social-preference models have been tailored to yield only a full-defection equilibrium in one-shot linear public-good situations. This paper determines the Nash-equilibrium sets that result from experiment participantsâ€™ elicited preferences. The data show that multiple equilibria are relatively frequent even in a standard three-player setting. In this perspective, the common finding of close-to-omnilateral defection at the end of repeated public-good games is surprising and raises the question of why the dynamics of play seem to select this equilibrium out of the existing equilibria.
When Is Word Sense Disambiguation Difficult? A Crowdsourcing Approach

We identified features that drive differential accuracy in word sense disambiguation (WSD) by building regression models using 10,000 coarse-grained WSD instances which were labeled on Mturk. Features predictive of accuracy include properties of the target word (word frequency, part of speech, and number of possible senses), the example context (length), and the Turker’s engagement with our task. The resulting model gives insight into which words are difficult to disambiguate. We also show that having many Turkers label the same instance provides at least a partial substitute for more expensive annotation. Disciplines Business This working paper is available at ScholarlyCommons: http://repository.upenn. edu/wharton_research_scholars/116 When is Word Sense Disambiguation Difficult? A Crowdsourcing Approach Adam Kapelner Krishna Kaliannan The Wharton School of the University of Pennyslvania Department of Statistics 3730 Walnut Street Philadelphia, PA 19104 {kapelner, kkali, foster}@wharton.upenn. edu Dean Foster Lyle Ungar University of Pennyslvania Department of Computer Science 200 S. 33rd St 504 Levine Philadelphia, PA 19104 ungar@cis.upenn. edu
An Ontology-Based Framework for Personalized Mobile Content Services

Personalization in mobile content services means to provide the appropriate contents in suitable ways for mobile users according to the context factors of spatio-temporal environment, personal characteristics, and conditions of terminals and networks. Different types of context data are required for diverse mobile services. In this paper, context and content service ontologies are constructed and a multi-agent framework is introduced to support personalized content services in wireless environment. Further, the relevancy between contexts and services is discussed. Finally, the working procedure of service platform is illustrated by an instance. Mobile commerce operates in a different circumstance compared with traditional e-commerce due to the distinct characteristics and technical constraints of terminals and networks. The advances in mobile technologies have led to the transition from voice-exclusive services to Web-based content services. The concept "content" means information resources published on the web or stored in the databases of enterprises. Mobile content services enable users to obtain digitized resources anywhere and anytime. This is the unique advantage and main driving force for the rapid acceptance of mobile services and applications. While the users get the rapidness and convenience, the information amount they really require is far less than that the stationary Internet own. Personalization in mobile content services means to deliver the related content to the users in some adaptive formats based on their interests, current time, locations and activities etc. The goals of personalized design involve: the right thing, in the right position, on the right time, by the right means, and for the right user. To achieve these goals, context is a crucial issue. Context is any information that can be used to characterize the situation of an entity(1). The concept of context itself is older than mobile computing. However, mobile computing brings new dimensions to context. In mobile environment, contexts typically involve the locations, interests and status of networks and terminals. Context data can be used to filter out less relevant materials and present the most important or appropriate contents to the users in some adaptive forms. Thus, the users can acquire their desired contents more effectively and efficiently. So the providers of mobile content services must consider how to create suitable content filtering and adapting mechanism to satisfy their users. The major tasks in deploying personalized mobile content services include information collecting and filtering, and format adapting.
Modulation of recognition memory performance by light requires both melanopsin and classical photoreceptors

Acute light exposure exerts various effects on physiology and behaviour. Although the effects of light on brain network activity in humans are well demonstrated, the effects of light on cognitive performance are inconclusive, with the size, as well as direction, of the effect depending on the nature of the task. Similarly, in nocturnal rodents, bright light can either facilitate or disrupt performance depending on the type of task employed. Crucially, it is unclear whether the effects of light on behavioural performance are mediated via the classical image-forming rods and cones or the melanopsin-expressing photosensitive retinal ganglion cells. Here, we investigate the modulatory effects of light on memory performance in mice using the spontaneous object recognition task. Importantly, we examine which photoreceptors are required to mediate the effects of light on memory performance. By using a cross-over design, we show that object recognition memory is disrupted when the test phase is conducted under a bright light (350 lux), regardless of the light level in the sample phase (10 or 350 lux), demonstrating that exposure to a bright light at the time of test, rather than at the time of encoding, impairs performance. Strikingly, the modulatory effect of light on memory performance is completely abolished in both melanopsin-deficient and rodless–coneless mice. Our findings provide direct evidence that melanopsin-driven and rod/cone-driven photoresponses are integrated in order to mediate the effect of light on memory performance.
Discovering Pipeline Parallel Patterns in Sequential Legacy C++ Codes

Since free performance lunch of processors is over, parallelism has become the new trend in hardware and architecture design. However, parallel resources deployed in data centers are underused in many cases, given that sequential programming is still deeply rooted in current software development. To face this problem, new methodologies and techniques for parallel programming have been progressively developed. For instance, parallel frameworks offer programming skeletons that allow expressing parallelism and concurrency in applications to better exploit concurrent hardware. Nevertheless, it remains a large portion of production software, coming from a broad range of scientific and industrial areas, that still execute sequential legacy codes. Taking into account that these software modules contain thousands, or even millions, of code lines, the effort needed to identify parallel regions is extremely high. To pave the way in this area, this paper presents Parallel Pattern Analyzer Tool (PPAT), a software component that aids discovering and annotating parallel patterns in source codes. Hence, facilitating the transformation of sequential code into parallel. We evaluate this tool for the special case of parallel pipelines using a series of well-known sequential benchmark suites.
Dynamic Binary Translation and Optimization

We describe a VLIW architecture designed specifically as a target for dynamic compilation of an existing instruction set architecture. This design approach offers the simplicity and high performance of statically scheduled architectures, achieves compatibility with an established architecture, and makes use of dynamic adaptation. Thus, the original architecture is implemented using dynamic compilation, a process we refer to as DAISY (Dynamically Architected Instruction Set from Yorktown). The dynamic compiler exploits runtime profile information to optimize translations so as to extract instruction level parallelism. This paper reports different design trade-offs in the DAISY system and their impact on final system performance. The results show high degrees of instruction parallelism with reasonable translation overhead and memory usage.
Forest–flood relation still tenuous – comment on ‘Global evidence that deforestation amplifies flood risk and severity in the developing world’ by C. J. A. Bradshaw, N

In a recent paper in this journal, Bradshaw and colleagues analyse country statistics on flood characteristics, land cover and land cover change, and conclude that deforestation amplifies flood risk and severity in the developing world. The study addresses an important and long-standing question, but we identify important flaws. Principal among these are difficulties in interpreting country statistics and the correlation between population and floods. We review current knowledge, which suggests that the removal of trees does not affect large flood events, although associated landscape changes can under some circumstances. Reanalysis of the data analysed by Bradshaw and colleagues shows that population density alone already explains up to 83% of the variation in reported flood occurrences, considerably more than forest cover or deforestation (o10%). Feasible explanations for this statistical finding – whether spurious or causative – are not difficult to conceive. We, therefore, consider the conclusion of Bradshaw and colleagues to be unsupported. However, their study is a valuable first step to show how these or similar flood data might be used to further explore the relationship between land cover and flooding.
Optimization of Ni (II) removal on Rhizomucor tauricus by using Box-Behnken design

Rhizomucor tauricus is used in the production of lipase, after several cycles it is disposed off as biological waste. A new biosorbent material fungus, Rhizomucor tauricus was immobilized, used as an adsorbent for removal of Nickel (II) and for optimization Box-Behnken design used by statistica 6.0. The time required to reach equilibrium was found to be 4 hours. The optimized concentration is 60 mg/L, pH is 6, biomass volume was 20 with high biosorption capacity of 449 mg/g. FTIR spectral analysis indicated that the amide – NH bending, CH stretching, carboxylic acid, and hydroxylic groups are the main functional groups involved in the complexation of metal ions.
Customizable and Ontology-Enhanced Medical Information Retrieval Interfaces

This paper describes the development and testing of the Medical Concept Mapper as an aid to providing synonyms and semantically related concepts to improve searching. All terms are related to the userquery and fit into the query context. The system is unique because its five components combine humancreated and computer-generated elements. The Arizona Noun Phraser extracts phrases from natural language user queries. WordNet and the UMLS Metathesaurus provide synonyms. The Arizona Concept Space generates conceptually related terms. Semantic relationships between queries and concepts are established using the UMLS Semantic Net. Two user studies conducted to evaluate the system are described.
Coordinated movement of multiple robots for searching a cluttered environment

This paper presents a distributed algorithm for multiple robots to move as a group in a cluttered environment while searching for a target. The distributed algorithm consists of four reactive behaviors for obstacles negotiation, target homing, flocking and searching. Simulation and experimental studies of the algorithm show that the search efficiency is not a monotone function of the number of robots deployed.
A Cohort Study of Traffic-Related Air Pollution Impacts on Birth Outcomes

Background Evidence suggests that air pollution exposure adversely affects pregnancy outcomes. Few studies have examined individual-level intraurban exposure contrasts. Objectives We evaluated the impacts of air pollution on small for gestational age (SGA) birth weight, low full-term birth weight (LBW), and preterm birth using spatiotemporal exposure metrics. Methods With linked administrative data, we identified 70,249 singleton births (1999–2002) with complete covariate data (sex, ethnicity, parity, birth month and year, income, education) and maternal residential history in Vancouver, British Columbia, Canada. We estimated residential exposures by month of pregnancy using nearest and inverse-distance weighting (IDW) of study area monitors [carbon monoxide, nitrogen dioxide, nitric oxide, ozone, sulfur dioxide, and particulate matter < 2.5 (PM2.5) or < 10 (PM10) μm in aerodynamic diameter], temporally adjusted land use regression (LUR) models (NO, NO2, PM2.5, black carbon), and proximity to major roads. Using logistic regression, we estimated the risk of mean (entire pregnancy, first and last month of pregnancy, first and last 3 months) air pollution concentrations on SGA (< 10th percentile), term LBW (< 2,500 g), and preterm birth. Results Residence within 50 m of highways was associated with a 26% increase in SGA [95% confidence interval (CI), 1.07–1.49] and an 11% (95% CI, 1.01–1.23) increase in LBW. Exposure to all air pollutants except O3 was associated with SGA, with similar odds ratios (ORs) for LUR and monitoring estimates (e.g., LUR: OR = 1.02; 95% CI, 1.00–1.04; IDW: OR = 1.05; 95% CI, 1.03–1.08 per 10-μg/m3 increase in NO). For preterm births, associations were observed with PM2.5 for births < 37 weeks gestation (and for other pollutants at < 30 weeks). No consistent patterns suggested exposure windows of greater relevance. Conclusion Associations between traffic-related air pollution and birth outcomes were observed in a population-based cohort with relatively low ambient air pollution exposure.
Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation

Out-of-vocabulary (oov) words or phrases still remain a challenge in statistical machine translation especially when a limited amount of parallel text is available for training or when there is a domain shift from training data to test data. In this paper, we propose a novel approach to finding translations for oov words. We induce a lexicon by constructing a graph on source language monolingual text and employ a graph propagation technique in order to find translations for all the source language phrases. Our method differs from previous approaches by adopting a graph propagation approach that takes into account not only one-step (from oov directly to a source language phrase that has a translation) but multi-step paraphrases from oov source language words to other source language phrases and eventually to target language translations. Experimental results show that our graph propagation method significantly improves performance over two strong baselines under intrinsic and extrinsic evaluation metrics.
The anti-tumor effect of folate-targeted liposome microbubbles loaded with oridonin as ultrasound-triggered tumor-targeted therapeutic carrier system

Abstract In this study, folate receptor (FR) targeted liposome microbubbles loaded with oridonin (ORI) (F-LMB-ORI), liposome loaded with ORI (L-ORI) and liposome microbubbles loaded with ORI (LMB-ORI) were prepared. In vitro release properties, cellular uptake and cytotoxicity in HepG-2 cells as well as in vivo antitumor effects in HepG-2 cells tumor-bearing mice of F-LMB-ORI, L-ORI and LMB-ORI were evaluated upon ultrasound exposure. Results showed cytotoxicity assay on F-LMB-ORI gave IC50 of 0.508 ± 0.018 µmol/mL on HepG-2 cells and LMB-ORI; L-ORI gave IC50 of 2.424 ± 0.116 µmol/mL, 3.031 ± 0.122 µmol/mL in vitro, respectively. These drug delivery carriers were able to control the release of ORI. F-LMB-ORI exhibited higher binding to HepG-2 cells in comparison to LMB-ORI and L-ORI. F-LMB-ORI improved antitumor activity of ORI obviously in comparison to L-ORI, LMB-ORI under in vivo ultrasound. After the treatment for 14 d, the tumor inhibition ratio for F-LMB-ORI (the dose of ORI: 1.5 × 10−2 g·kg−1, once a day) was 87.6%, obviously higher than that of LMB-ORI group, L-ORI group and free ORI (the dose of ORI: 1.5 × 10−2 g·kg−1, once a day) which were 71.5%, 64.3% and 43.4%, respectively.
Disturbance rejection by acceleration feedforward: Application to dynamic positioning

Abstract This paper addresses environmental disturbance rejection in dynamic systems by means of acceleration feedforward. A feedforward structure calculates the environmental force and magnitude by comparing the filtered acceleration measurement with the acceleration due to actuation and known forces. Direct compensation of the environment by feedforward will alleviate the position and velocity feedback terms. The presented scheme compensates environmental disturbances affecting the system in addition to model uncertainties. First, the design is used for a mechanical system and illustrated for an inverted pendulum. Then, the main application, being a dynamic positioning system affected by ice forces in an Arctic operation, is controlled by acceleration feedforward to give enhanced performance.
Systems Biology Approaches for Host–Fungal Interactions: An Expanding Multi-Omics Frontier

Abstract Opportunistic fungal infections are an increasing threat for global health, and for immunocompromised patients in particular. These infections are characterized by interaction between fungal pathogen and host cells. The exact mechanisms and the attendant variability in host and fungal pathogen interaction remain to be fully elucidated. The field of systems biology aims to characterize a biological system, and utilize this knowledge to predict the system's response to stimuli such as fungal exposures. A multi-omics approach, for example, combining data from genomics, proteomics, metabolomics, would allow a more comprehensive and pan-optic “two systems” biology of both the host and the fungal pathogen. In this review and literature analysis, we present highly specialized and nascent methods for analysis of multiple -omes of biological systems, in addition to emerging single-molecule visualization techniques that may assist in determining biological relevance of multi-omics data. We provide an overview of computational methods for modeling of gene regulatory networks, including some that have been applied towards the study of an interacting host and pathogen. In sum, comprehensive characterizations of host–fungal pathogen systems are now possible, and utilization of these cutting-edge multi-omics strategies may yield advances in better understanding of both host biology and fungal pathogens at a systems scale.
Spontaneous Oscillatory Rhythm in Retinal Activities of Two Retinal Degeneration (rd1 and rd10) Mice

Previously, we reported that besides retinal ganglion cell (RGC) spike, there is ~ 10 Hz oscillatory rhythmic activity in local field potential (LFP) in retinal degeneration model, rd1 mice. The more recently identified rd10 mice have a later onset and slower rate of photoreceptor degeneration than the rd1 mice, providing more therapeutic potential. In this study, before adapting rd10 mice as a new animal model for our electrical stimulation study, we investigated electrical characteristics of rd10 mice. From the raw waveform of recording using 8×8 microelectrode array (MEA) from in vitro-whole mount retina, RGC spikes and LFP were isolated by using different filter setting. Fourier transform was performed for detection of frequency of bursting RGC spikes and oscillatory field potential (OFP). In rd1 mice, ~10 Hz rhythmic burst of spontaneous RGC spikes is always phase-locked with the OFP and this phase-locking property is preserved regardless of postnatal ages. However, in rd10 mice, there is a strong phase-locking tendency between the spectral peak of bursting RGC spikes (~5 Hz) and the first peak of OFP (~5 Hz) across different age groups. But this phase-locking property is not robust as in rd1 retina, but maintains for a few seconds. Since rd1 and rd10 retina show phase-locking property at different frequency (~10 Hz vs. ~5 Hz), we expect different response patterns to electrical stimulus between rd1 and rd10 retina. Therefore, to extract optimal stimulation parameters in rd10 retina, first we might define selection criteria for responding rd10 ganglion cells to electrical stimulus.
Isolation and characterization of isochorismate synthase and cinnamate 4-hydroxylase during salinity stress, wounding, and salicylic acid treatment in Carthamus tinctorius

Salicylic acid (SA) is a prominent signaling molecule during biotic and abiotic stresses in plants biosynthesized via cinnamate and isochorismate pathways. Cinnamate 4-hydroxylase (C4H) and isochorismate synthase (ICS) are the main enzymes in phenylpropanoid and isochorismate pathways, respectively. To investigate the actual roles of these genes in resistance mechanism to environmental stresses, here, the coding sequences of these enzymes in safflower (Carthamus tinctorius), as an oilseed industrial medicinal plant, were partially isolated and their expression profiles during salinity stress, wounding, and salicylic acid treatment were monitored. As a result, safflower ICS (CtICS) and C4H (CtC4H) were induced in early time points after wounding (3–6 h). Upon salinity stress, CtICS and CtC4H were highly expressed for the periods of 6–24 h and 3–6 h after treatment, respectively. It seems evident that ICS expression level is SA concentration dependent as if safflower treatment with 1 mM SA could induce ICS much stronger than that with 0.1 mM, while C4H is less likely to be so. Based on phylogenetic analysis, safflower ICS has maximum similarity to its ortholog in Vitis vinifera up to 69%, while C4H shows the highest similarity to its ortholog in Echinacea angustifolia up to 96%. Overall, the isolated genes of CtICS and CtC4H in safflower could be considered in plant breeding programs for salinity tolerance as well as for pathogen resistance.