Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Study of the Second-Order Wave Loads on a Ship with Forward Speed

In the 25 workshop hold in Harbin, China, we have presented a domain-decomposition based method to solve the second-order diffraction/radiation problems with a current or small forward speed [1]. The boundary value problem in the inner domain is formulated in a body-fixed coordinate system, while inertial coordinate system is applied in the outer domain. The continuity of the velocity potential and the normal velocity at the control surface act as the matching conditions of the innerand outer-domain solutions. The highlight of the method is twofold. Firstly, no higher-order derivatives appear in the body boundary conditions and thus the mj-terms and the derivatives of the mj-terms are avoided. Secondly, because the body boundary condition is formulated on the instantaneous position of the body, the resulting integral equation is valid for both smooth bodies and bodies with sharp corners. What we have to pay for using this method is that the number of unknowns has been increased, since singularities with unknown strengths are distributed on the control surface. See also [2], [3] for details. In the present study, we will use body-fixed coordinate system not only near the body but also in finite distance away from the body. That means the outer domain in the previous studies disappears and no control surface is needed. Perturbation method is used so that the computational domain remains unchanged. Infinite water depth will be considered.
Learning to Diminish 1 Running head : DIMINISHING PROACTIVE INTERFERENCE Learning to Diminish the Effects of Proactive Interference : Reducing False Memory for Young and Older Adults

Results from two experiments revealed that prior experience with proactive interference (PI) diminished its effects for both young and older adults. Participants were given two rounds of experience, with different materials, in a situation that produced PI. Comparisons with a control condition showed that the effects of PI on accuracy and on high-confidence, false memory were reduced on the second round as compared to the first. Also, the ability of confidence to diagnose accuracy of responding improved across rounds. Effects of prior experience with PI depended on feedback given at the time of test (Experiment 1). At least in part, the diminishment of PI resulted from participants allocating more attention to interference items during study in the second round as compared to the first (Experiment 2). Implications of the results for interpreting age differences in PI and false memory are discussed.
DoA-Based Rigid Body Localization Adopting Single Base Station

Simultaneously determining the 3-dimensional (3-D) position and orientation of a rigid object is termed rigid body localization (RBL). The RBL has potential applications in the systems of virtual reality, spacecraft docking, and so on. In this letter, a new RBL scheme based on Direction of Arrival (DoA) measurements is proposed, which needs only a single base station (BS) and has no requirement for time synchronization between the target of interest and BS. For determining the position and orientation, the rigid object of interest has wireless sensors mounted on its surface, which are distributed with known topology. We first build a geometrical model fusing the measured DoAs from the wireless sensors and their known topology to determine the 3-D coordinates of these sensors. Then, using the obtained coordinate information, we achieve the RBL via rigid body transform methodologies. The constrained Cramer–Rao bound is derived to evaluate the performance of the developed method with respect to the DoA noise level and rigid body size.
B-type stars in eclipsing binaries

Several aspects of stellar evolution, such as determination of masses of β Cepheitype variable stars or finding tighter constraints on the value of the convective core overshooting parameter α, can be tested with B-type stars in eclipsing binary systems. Precise photometry and high-resolution spectroscopy with high signal-tonoise ratio (SNR) are required to achieve these goals, but since many of the targets are bright enough, the challenge is an acceptable one. The approach to examine both the aforementioned aspects of stellar evolution using observations of B-type stars obtained with a wide range of spectrographs, as well as BRITE-Constellation satellites, is presented in this paper.
Customized Attention Mechanism for Relation Classification

This paper proposes a novel attention mechanism, customized attention mechanism, for relation classification. Based on the task requirements, logical constraints of the attention mechanism have been designed to control the learning process of network, which enhances the control-lability in learning. Specifically, a logical constraint is an operation that affects the attention weight. This operation controls the weights of the attention mechanism through a generating function and a limiting function. Appropriate logical constraints improve the feature extraction ability and the robustness of the network, which are important supplements to the traditional neural network. Experiments show that our model and logical constraints have achieved a considerable improvement on the SemEval-2010 relation classification task, which outperforms the most advanced methods.
Instant Controlled Pressure-Drop DIC to Intensify Drying Kinetics and Rheological Attributes of Carob Seeds

Instant Controlled Pressure-Drop DIC to Intensify Drying Kinetics and Rheological Attributes of Carob Seeds Amal Zeaiter1,2,3, Colette Besombes3, Leila Benchikh4, Amira Haddarah1, Tayssir Hamieh1,3, Mohammed Nasreddine Zidoune4, Karim Allaf3* Lebanese University, Doctoral School of Science and Technology, Hadath, Beirut, Lebanon Lebanese university, Faculty of sciences, Laboratory of Materials, Catalysis, Environment and Analytical Methods (MCEMA), Hadath, Beirut, Lebanon University of La Rochelle, Intensification of Transfer Phenomena on Industrial Eco-Processes, Laboratory of Engineering Science for Environment LaSIE UMR-CNRS 7356, 17042 La Rochelle, France Université Frères Mentouri de Constantine 1 (UFMC1); Equipe de Transformation et Elaboration des Produits Alimentaires (TEPA); Laboratoire de Nutrition et de Technologie Alimentaire (LNTA), Constantine, Algeria
Guidance for the use of methadone for the treatment of opioid dependence in primary care.

• Methadone is an effective evidence based medication used for the treatment of opioid dependence. • It is most effective when used as a maintenance agent at optimal dosing. • Its primary function is to reduce (and eventually replace) illicit opioid use and in so doing, reduce harm and improve the health and psychological well-being of the patient.
26 Microfluidics-Based Cell Manipulation and Analysis

Micro total analysis system, likewise named “lab on a chip”, integrates sequentially analytical processes such as pre-treatment, separation, and detection of samples in a single microfluidic device. Microfluidics-based analysis systems have witnessed significant developments in applications of many research fields (e.g., chemistry, physics, and medicine) over the last two decades, becoming increasingly popular in recent years (Whitesides, 2006). Its popularity mainly stems from the advantages of microfluidics, including portability, low cost, easy operation, low consumption of samples and reagents, short reaction time, and function integration. The integrated microfluidic devices perform rapid and reproducible measurements on small sample volumes while eliminating the need for labor-intensive and potentially error-prone laboratory manipulations. Of note, the microfluidic technique has begun to play an increasingly important role in research and discovery of cell biology and tissue engineering (El-Ali et al., 2006; Wang et al., 2009). Microfluidic technology enables the study of cell behaviour and activity from singleto multi-cellular organism level with precisely localised application of experimental conditions; this is almost unattainable with the use of common macroscopic tools (e.g., microplate and Petri dish). For example, the effect of laminar flow on the micron-scale enables spatial control of liquid composition, fast change of media and temperature, and single cell handling and analysis (Takayama et al., 2001). Meanwhile, microfluidic devices can realise biological experiments in a high-throughput way, while being based on the miniaturising macroscopic systems and taking advantage of massive parallel processing. Thus far, microfluidic applications have been involved in many experimental parts of cell manipulation and analysis, such as cell trapping/sorting, cell culture/co-culture, cytotoxicity, PCR, DNA sequencing, and gene analyses (VelveCasquillas et al., 2010; Wlodkowic et al., 2009; Melin et al., 2007). Furthermore, a large number of novel microfluidic devices have been reported for cell research and tissue simulation in last 10 years (Ho et al., 2006; Huh et al., 2010; Sung et al., 2011). According to various functional applications of microfluidic devices, we provide a discussion on general processes and overview of microfluidics-based cultivation of cells,
Manager-specific Litigation Risk and Corporate Disclosure : Evidence from Shareholder Derivative Suits

Using the staggered adoption of Universal Demand (UD) laws related to shareholder derivative suits as an exogenous shock to manager-specific litigation risk, we show that litigation risk pertaining to managers have a unique effect on corporate disclosure. Specifically, we find that managers issue more management forecasts after UD laws raise the hurdle of filing derivative suits against them. Furthermore, the effect of UD laws on the frequency of forecasts issued is more pronounced when managers have flexibility in disclosure policies and weak career concerns, and when firms are financially constrained and have strong demand for stock liquidity. Our findings contribute to the voluntary disclosure literature by showing that managers’ personal litigation risk matters to corporate disclosure policies.
A Compact, Mobile, Low-Threshold Squeezed Light Source

Strongly squeezed light finds many important applications within the fields of quantum metrology, quantum communication and quantum computation. However, due to the bulkiness and complexity of most squeezed light sources of today, they are still not a standard tool in quantum optics labs. We have taken the first steps in realizing a compact, high-performance 1550 nm squeezing source based on commercially available fiber components combined with a free-space double-resonant parametric down-conversion source. The whole setup, including single-pass second-harmonic generation in a waveguide, fits on a small breadboard and produces 9.3 dB of squeezing at a 5 MHz sidebandfrequency. The setup is currently limited by phase noise, but further optimization and development should allow for a 19” sized turn-key squeezing source capable of delivering more than 10 dB of squeezing.
INFLUENCE OF STORAGE TIME ON QUALITY OF SPRAY-DRIED EXTRACTS OF BASIL (OCIMUM BASILICUM L.)

Sweet basil (Ocimum basilicum L.), a member of the Lamiaceae family, is the major essential oil crop which is cultivated commercially in many countries. The aromatic leaves of basil are used fresh or dried as a flavoring agent for foods, confectionery products and beverages. In the current study macerates of basil were spray dried with addition of 0%, 10%, 20% and 30% maltodextrin. In order to evaluate influence of storage time on quality of four basil powders the moisture content, rehydration, bulk density, total phenolic and total flavonoid contents were tested immediately after production and after 50 days long storage at room temperature in desiccator. This study showed that 50 days long storage time did not influence negatively on quality of basil powders regarding all investigated parameters except moisture content which rose for 30 40 %.
Teacher ’ s Corner Six Online Statistics Courses : Examination and Review

We extend George W. Cobb’s evaluative framework of statistics textbooks to six online instructional materials that exemplify the diversity of introductory statistics materials available on the Internet. Materials range from course Web sites with limited interactive capabilities to courseware and electronic textbooks that make extensive use of interactive learning objects and environments. Instructional materials are examined in light of recent cognitive research that underscores the robustness of learning from examples, the importance of authentic problem solving in promoting knowledge in use and skill acquisition, and the use of feedback to maximize learning opportunities. Selected units that focus on statistical tools (measures of central tendency, simple linear regression, and one-way analysis of variance) are analyzed in terms of authenticity and diversity of examples, authenticity and cognitive complexity of exercises, and use of interactive learning objects and feedback. General conclusions and suggestions for future directions for online statistics instruction are presented.
Immersive Analytics for Geology : Field Sketch-Like Visualization to assist geological structure analysis during fieldwork

We explore if and how immersive analytics, in particular AR and Sketch-Like Visualization, can be used to support the geologists’ field workflow. Fieldwork involves careful observations and measurements in the field, the collection of rock and fossil samples and the recording of complementary information for further analysis. In the field, the workflow comprises in-situ hand drawing of sketches through careful observation of the area to be explored and the incorporation of all the data that the geologist collects in the field to these drawings. This implies that a constant association of 2D (sketch)-3D (real environment) information is being carried out at all times, taking into account a previously defined scale of work. Our main goal is to support the field workflow integrating the real environment with an automatically generated sketch to facilitate the geologists’ fieldwork. Our system is based on an interactive AR approach on mobile devices. We evaluated the introduced approach using a real-life case study. User feedback and observations from our interdisciplinary team indicate the utility of the approach for the current case study as well as some shortcomings and areas for future research.
Cell Reports Resource BATLAS : Deconvoluting Brown Adipose Tissue

Author(s): Perdikari, Aliki; Leparc, German G. ; Baláž, Miroslav; Pires, Nuno D. ; Lidell, Martin E. ; Sun, Wenfei; Fernandez-Albert, Francesc; Müller, Sebastian; Akchiche, Nassila; Dong, Hua; Balazova, Lucia; Opitz, Lennart; Röder, Eva; Klein, Holger; Stefanicka, Patrik; Varga, Lukas; Nuutila, Pirjo; Virtanen, Kirsi A. ; Niemi, Tarja; Taittonen, Markku; Rudofsky, Gottfried; Ukropec, Jozef; Enerbäck, Sven; Stupka, Elia; Neubauer, Heike; Wolfrum, Christian
Academic Analytics : The Uses of Management Information and Technology in Higher Education

Copyright 2005 EDUCAUSE. All rights reserved. KEY FINDINGS ➠ Most respondents rely on a transaction processing system as the primary platform to support their needs for information and analysis. ➠ The use of academic analytics varies by functional area. The most sophisticated and active users are central finance, institutional research, admissions, and central planning and budgeting. ➠ Most respondents use academic analytics primarily to support transactional and operational reporting. Few have extensively adopted advanced applications such as what-if analysis, predictive modeling, scenario building, or automated alerts. ➠ Responding institutions are using advanced applications of academic analytics most frequently in student services and least frequently in grants management. ➠ Respondents report benefiting the most from their use of academic analytics to improve student recruitment and retention. ➠ Success with academic analytics is strongly associated with leadership commitment to evidence-based decision making, training effectiveness, and staff analytical skill. ➠ The majority of respondents anticipate expanding their capacity to perform academic analytics in the next two years.
Chapter 2 Grid Codes : Goals and Challenges

Electric power has always been one of the driving forces for progress in human life. This has popularized electric energy as the most utilized form of energy. However, dispersed locations of energy resources and continuously increasing demand of electricity have led to a large electric power transmission network across the landscape. To operate the system effectively, a large number of components, such as protection systems, monitoring systems, operational procedures, etc. are required to work in a synchronized and efficient manner; otherwise, contingencies may arise in the system. Development and integration of renewable energy sources into the existing power system has enhanced the complexity in the network. Efficient operation of this complex network is a tedious task for the authorities. Thus, to simplify the planning, operational, and other tasks, grid codes have been developed. Grid codes are the rules laid by the authorities for all its stakeholders, i.e., the users and power generating stations for connecting to the network and operate as per the standards. These grid codes implement the regulations for smooth operation of the grid and its connected components. It implies to the existing and future plants. This chapter gives an overview of the grid codes, its various components and their development considering integration of renewable energy into the grid. Various aspects, such as classification and specifications of the grid codes, the anomalies that exist between the grid codes developed and standards used in conventional power plants are discussed in this chapter.
Self-microemulsifying drug delivery systems of Moringa oleifera extract for enhanced dissolution of kaempferol and quercetin

Abstract The aim of the present study was to develop self-microemulsifying drug delivery systems (SMEDDS) of the extract of Moringa oleifera, a herbal medicinal plant. Kaempferol and quercetin, the flavonoids present in the leaf extract of M. oleifera, were chosen as markers for quantification. The optimized formulation of SMEDDS consisted of propylene glycol dicaprylocaprate, polysorbate 80, and polyethylene glycol 400 (PEG 400) in a percentage ratio of 20:60:20 (m/m). SMEDDS emulsified immediately (within 20 s) after dilution in water, resulting in transparent microemulsions with a droplet size of 49 nm. SMEDDS could increase the solubility of kaempferol and quercetin to nearly 100 % within 15 min, whereas only a 30 % improvement in solubility was achieved in the case of crude extract. These results demonstrated SMEDDS to be a promising strategy to improve the solubility of M. oleifera extract-derived drugs, which, in turn, could prove beneficial to the herbal medicine field.
ect of airborne particulate matter of 2 . 5 μ m or less on preterm birth : A national birth cohort study in China

Background: Most evidences regarding ambient PM2.5 or PM10 (particulate matter of median aerodynamic diameter ≤2.5 μm or ≤10 μm) and preterm birth (PTB) come from western countries which has relatively low PM pollution exposure, and the results are still inconsistent. This study aims to examine whether exposure to high concentrations of PM2.5 or PM10 was associated with PTB (< 37weeks) and near term birth (37–38weeks). Method: We established a birth cohort with 1,280,524 singleton pregnancies who delivered from Dec 1st, 2013 to Nov 30th, 2014 and matched their home address to PM2.5 and PM10 concentrations which were predicted with machine learning methods based satellite remote sensing, meteorological and land use information. Cox proportional hazard regression models were used to analyze the associations between PTB and exposure of PM2.5 or PM10, after controlling for individual level covariates. Results: Exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth [e.g., Hazard ratios: 1.09 (95% CI: 1.09, 1.10), 1.08 (95% CI: 1.07, 1.08), 1.01 (95% CI: 1.01, 1.02), and 1.09 (95% CI: 1.08, 1.10) for each 10 μg/m increase in PM2.5 for the 1st, 2nd, 3rd trimester and over the entire pregnancy, respectively]. The effects appeared to be stronger among women who come from rural areas, worked as farmers, were overweight before conception, whose mate was smoking during pregnancy, and conceived in autumn. Conclusion: This study provides clear evidence that exposure to PM2.5 or PM10 during pregnancy increases the risk of PTB and near term birth. Public policies regarding improvement of air quality would produce great health benefit by reducing the burden of preterm birth.
MRI AND CT IMAGE FUSION BASED STRUCTURE-PRESERVING FILTER

Medical image fusion plays an important role in clinical application such as image-guided radiotherapy and surgery, and treatment planning. The main purpose of the medical image fusion is to fuse different multi-modal images, such as MRI and CT, into a single image. In this paper, a novel fusion method is proposed based on a fast structure-preserving filter for medical image MRI and CT of a brain. The fast structure preserving filter is a novel double weighted average image filter (SGF) which enables to smooth out high-contrast detail and textures while preserving major image structures very well. The workflow of the proposed method is as follows: first, the detail layers of two source images are obtained by using the structurepreserving filter. Second, compute the weights of each source image by calculating from the detail layer with the help of image statistics. Finally, fuse source images by weighted average using the computed weights. Experimental results show that the proposed method is superior to the existing medical image fusion method in terms of subjective evaluation and objective evaluation.
Effects of Depth Layer Switching between an Optical See-Through Head-Mounted Display and a Body-Proximate Display

Optical see-through head-mounted displays (OST HMDs) typically display virtual content at a fixed focal distance while users need to integrate this information with real-world information at different depth layers. This problem is pronounced in body-proximate multi-display systems, such as when an OST HMD is combined with a smartphone or smartwatch. While such joint systems open up a new design space, they also reduce users’ ability to integrate visual information. We quantify this cost by presenting the results of an experiment (n=24) that evaluates human performance in a visual search task across an OST HMD and a body-proximate display at 30 cm. The results reveal that task completion time increases significantly by approximately 50% and the error rate increases significantly by approximately 100% compared to visual search on a single depth layer. These results highlight a design trade-off when designing joint OST HMD-body proximate display systems.