Miracle-dz/UniFAR-FTUs huggingface dataset:
THE POTENTIAL CONTRIBUTION OF AWE AND NATURE APPRECIATION TO POSITIVE MORAL VALUES

The present analysis utilizes publicly available survey data to assess attitudes consistent with the religious naturalist orientation. Religious naturalism entails a sense of awe and reverence toward the natural world, and the survey data have subscales assessing awe and a question regarding opportunities to appreciate nature. The reported measures of awe toward the world and secondary analyses looking specifically at nature appreciation found, independent of theistic belief, significant statistical relationships between awe, nature, and self-reported sense of deep appreciation and peace, the likelihood to care about others, and an association with joy and compassion. These results imply that awe and reverence toward the natural world are independently associated with common moral values (e.g., compassion). This exploratory analysis demonstrates that, from a pragmatic and moral values perspective, religious naturalism has the potential to replace traditional theistic orientations, and that the simple rejection of religious discourse should be reconsidered. Further research should attempt to verify these preliminary conclusions.
Network Coding with Limited Overhearing in Wireless Sensor Networks

Network Coding as a recently emerged concept in Communication Networks Research, has attracted a lot of attention in networking research community. Previous research on applying Network Coding in Wireless Sensor Networks, do not consider most crucial constraints inherent to sensor networks. Especially most of them assume overhearing of neighboring transmissions for free, which is unrealistic in practical sensor network environments where nodes have limited energy. Therefore these applications fail to make an impact on real world sensor network deployments. In some sensor networking scenarios it is possible to manipulate overhearing in a controlled manner. In this research we apply network coding in to improve throughput of a Time Division Multiple Access(TDMA) based Medium Access Control(MAC) protocol called GINMAC , manipulating overhearing appropriately. Our results show that network coding can improve the throughput while trading owith other network performance characteristics like reliability and power consumption.
Preliminary report on small-mass graphitization for radiocarbon dating using EA-AGE3 at JAEA-AMS-TONO

In the case of AMS 14C measurements, the CO2 gas purification procedure from solid samples by the vacuum glass line has been performed as a traditional preparation technique. In some cases (e.g., Morgenroth et al., 2000; Yoneda et al., 2004), sample combustion and gaseous CO2 separation procedures were automatically performed by the EA. Subsequently, the automated graphitization equipment (AGE) was developed by IonPlus AG (Němec et al., 2010; Wacker et al., 2010; Solis et al., 2015). The AGE equipment combined with EA can be utilized as a fully automated sample preparation system to be employed for 14C measurements using standard-sized carbon samples (~1 mg). In fact, currently the third generation of the AGE equipment (AGE3) is commercially available (Solís et al., 2015). Notably, small-mass 14C measurements have been performed on analyte samples characterized by a carbon mass below ~0.1–0.05 mg by the AMS system after manual graphitization using the small-volume vacuum glass line (e.g., Delqué-Količ et al., 2013). However, the EA-AGE3 system has not yet been utilized to perform small-mass sample graphitization for the IAEA standards. In order to evaluate the suitability of the EA-AGE3 system for use in the small-mass graphitization and highefficiency sample preparation techniques, the EA-AGE3 Preliminary report on small-mass graphitization for radiocarbon dating using EA-AGE3 at JAEA-AMS-TONO
Support vector machine based artificial potential field for autonomous guided vehicle

The path planning is developed on the subject which aim to guide a walking robot from a starting point forwards a goal. The paper presents a now model merging the optimization of support vector machine (SVM) into the artificial potential field path planning. Using the path planning, robots can estimate a free smooth walking path of obstacles. Based on the statistical learning theory, the SVM can be used to optimize a zero-potential decision boundary in the 2-dimemsional map with a large margin. The idea of large margin implies that a wide path can be obtained with the employment of the SVM. With the RBF kernel, the presented method produces a 2-dimemsional potential-field map. In the map, obstacles are modeled as the sum of various parametric Gaussian distributions. As known, a map composed with the superposition of 2-dimemsional smooth Gaussian functions can also achieve the walking path smooth. Upon this, potential-field or road map based robot navigation can easily be applied to achieve the path smoother. The proposed model provides a way to search a wide smooth road for the robot. Detailed experiments and discussions are included in the paper.
Integrated circuit package band pass filter

The recent advances in such highly integrated RF transceivers as radio system-on-chip and radio system-in-package have called for the parallel development of compact filters. This paper addresses the development of a new type of dielectric chip filter known as an integrated circuit package filter (ICPF) for highly integrated RF transceivers. A compact ICPF of this type has, for the first time, been designed in a ceramic ball grid array (CBGA) package format that measures only 15/spl times/15/spl times/2.0 mm. The novel ICPF, in addition to the economical advantage of mass production and automatic assembly, has the potential benefit of system-level board miniaturization and system-level manufacturing facilitation. Results show that the ICPF achieved a percentage bandwidth of 5.1% and an insertion loss of 1.5 dB at 2.4 GHz. Details of design and analysis of the ICPF are presented and discussed.
Rail brake system using a linear induction motor for dynamic braking

One type of braking system for railway vehicles is the eddy current brake. Because this type of brake has the problem of rail heating, it has not been used for practical applications in Japan. Therefore, we proposed the use of a linear induction motor (LIM) for dynamic braking in eddy current brake systems. The LIM reduces rail heating and uses an inverter for self excitation. We estimated the performance of an LIM from experimental results of a fundamental test machine and confirmed that the LIM generates an approximately constant braking force under constant current excitation. At relatively low frequencies, this braking force remains unaffected by frequency changes. The reduction ratio of rail heating is also approximately proportional to the frequency. We also confirmed that dynamic braking resulting in no electrical output can be used for drive control of the LIM. These characteristics are convenient for the realization of the LIM rail brake system. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 178(2): 29–38, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21209
Unsupervised cell functional annotation for single-cell RNA-seq

One of the first steps in the analysis of single cell RNA-Sequencing data (scRNA-Seq) is the assignment of cell types. While a number of supervised methods have been developed for this, in most cases such assignment is performed by first clustering cells in low-dimensional space and then assigning cell types to different clusters. To overcome noise and to improve cell type assignments we developed UNIFAN, a neural network method that simultaneously clusters and annotates cells using known gene sets. UNIFAN combines both, low-dimensional representation for all genes and cell specific gene set activity scores to determine the clustering. We applied UNIFAN to human and mouse scRNA-Seq datasets from several different organs. As we show, by using knowledge on gene sets, UNIFAN greatly outperforms prior methods developed for clustering scRNA-Seq data. The gene sets assigned by UNIFAN to different clusters provide strong evidence for the cell type that is represented by this cluster making annotations easier. Software https://github.com/doraadong/UNIFAN
High‐speed positioning method for servomotor considering friction load torque

When the position error becomes small, in a conventional positioning system, its motor cannot obtain sufficient deceleration torque. Hence, the position response becomes slow. There is another positioning system that is to design the position reference using a trapezoidal speed reference. When the load torque and the final goal position are known, this positioning system has a fine response. However, if the load torque and the final goal vary, its position response cannot have the desired response. In order to overcome these problems, this paper proposes a new high‐speed positioning system of AC servomotor considering both an unknown friction torque and a windup phenomenon. The proposed system always uses the maximum acceleration, deceleration torque and the maximum speed. © 2006 Wiley Periodicals, Inc. Electr Eng Jpn, 157(4): 66– 74, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20173
Applicable wavelength range of U-band signals in in-line Raman amplifier WDM systems

The authors describe analytical and experimental verification of the applicable wavelength range of U-band signals in in-line Raman amplifier WDM systems and find that the U-band below 1640 nm is as effective as the L-band; consideration is given to the dependence of the NF of the Raman amplifier on signal loss and pump loss.
Enhancements to Stability Constrained OPF to Overcome Sub-optimality

Abstract This article revisits the stability constrained optimal power flow (SOPF) model originally developed by the authors. One of the limitations of the SOPF model is that the representation of angular stability rests on assumptions that can lead to a sub-optimal dispatch outcome. The present research enhances the SOPF model to improve upon the quality of the solution. This article demonstrates that the feasible set of a stability-constrained optimal power flow problem can be open and hence the optimal solution may not exist. The article then reviews a step-by-step integration (SBSI) based approach which has the limitation of yielding sub-optimal solutions. A primary objective of the present research is to introduce two algorithms that can be used to find an improved solution, starting with a sub-optimal solution. Finally, the article also discusses several implementation issues including the concepts for dealing with multiple contingencies. Numerical examples are presented to illustrate the methodological aspects.
Comparing a GPS time link calibration with an optical fibre self-calibration with 200 ps accuracy

In Poland, an accurate two-way optical fibre time transfer (TWOTT) baseline of 420 km has been developed with a standard uncertainty of 112 ps. Meanwhile, the BIPM has been engaged in a pilot project to reduce the uncertainty of UTC GNSS time transfer calibrations from 5 ns to approximately 1.5 ns, for which it has developed a standard calibration scheme, named METODE, associated with an integrated portable GNSS calibration station. The TWOTT and the METODE respectively represent the world’s most advanced time transfer method and calibration facility. In July 2013, the BIPM calibrator and the TWOTT self-calibrated optical fibre transceivers were set up side by side to compare their results. This is the first time that an operational TWOTT has been used in accurate time transfer and the first time that a GNSS calibration method has been validated with a technique accurate to 200 ps. As the two systems are completely independent and the latter is one order of magnitude more accurate than the first, this comparison allowed validation of the METODE and its uncertainty. It also confirmed that any bias in the TWOTT is at most 1 ns.
Laser and camera for road edge and mid-line detection

Presents a methodology for extracting road edge and lane information for smart and intelligent navigation of vehicles. The range information provided by a fast 2D laser range-measuring device is processed by an extended Kalman filter to extract the road edge or curb information. The resultant road edge information is used to aid in the extraction of the mid-line from a CCD camera image using an extended Kalman filter. Experimental results are presented to demonstrate the effectiveness of the combined laser and vision strategy for road-edge and lane detection.
Implicit operating system awareness in a virtual machine monitor

Commodity server and desktop computer systems have become powerful enough in recent years to profitably make use of system virtualization technology. System software vendors are enthusiastically embracing system virtualization to address some of the key issues facing today's enterprises like manageability, rapid service deployment, and disaster recovery. Widespread adoption of virtualization has a disruptive influence on system organization. In a virtualized environment, the virtual machine monitor (VMM) supplants the operating system as the primary resource manager. When a virtualization layer is present, certain system features like resource scheduling, cache management, and security monitoring can often be implemented most naturally within the VMM. While a VMM understands and controls system hardware resources, it currently knows very little about the high-level software abstractions implemented within guest operating systems, a fact referred to as the "semantic gap". Information pertaining to OS constructs like processes, threads, users, and caches is often useful, however, when implementing services at the VMM layer. Hence, researchers have invented ways of directly exporting relevant information from the operating system to an underlying VMM. This direct approach, while effective, has some important drawbacks. For example, it leads to close coupling between VMM-layer services and specific OS vendors and versions, reducing the applicability of services and complicating deployment and management. We have invented and implemented techniques that can be used by a VMM to infer useful information about selected operating system abstractions and achieve a level of implicit operating system awareness. Our approach uses observation of architectural events and the fact that modern operating systems share many basic features and responsibilities. This dissertation describes our techniques in detail and presents the results of a careful experimental evaluation of them. Using case studies, we show that implicit operating system awareness within a VMM can be used to implement a variety of useful applications like sophisticated I/O scheduling, flexible memory management, efficient caching, and reliable security monitoring that significantly enhance the value of the virtualization layer.
Estimating bank of Ghana’s policy responses in the context of Taylor rule: Is the inflation target realistic?

ABSTRACT Although literature acknowledges the nonlinearity in monetary policy behaviour of central banks, the appropriateness of the models used to capture the nonlinearity remains questionable. Moreover, the paucity of research on nonlinear monetary policy rules in the context of Africa and Ghana in particular is worrying, given the numerous breaches of the publicly announced inflation targets. The study estimates the Bank of Ghana’s policy responses over the inflation targeting period using the Taylor rule. We find that the Bank of Ghana reacts asymmetrically to inflation gap below and above the estimated inflation threshold of 16.4% with considerable inflation accommodation instead of targeting it. We question the logic behind the prevailing upper and lower bounds inflation target given the evidence to the contrary. The average inflation over the targeting period, the estimated inflation threshold and the structure of the Ghanaian economy raise questions of feasibility of achieving the inflation target on sustainable basis. Policy implications are discussed.
Zero voltage switching DC link single-phase pulse width modulated voltage source inverter

A zero voltage switching (ZVS) DC link, single-phase, pulse width modulated, voltage source inverter (VSI) is proposed. Operating principle and various operating intervals of the converter are presented and analyzed. Design considerations are discussed and a design example of a 300 VA VSI is given. Experimental results from a laboratory prototype model are presented. ZVS is achieved for forward and reverse power flow, without increasing the voltage stress on the inverter devices.
Concrete Uniaxial Tensile Strength and Cylinder Splitting Test

The widely used concrete tensile strength test, the Brazilian cylinder splitting test, is analyzed using isoparametric nonlinear finite strip elements. The results of the numerical analysis suggest that the apparent tensile strength obtained from the splitting test underestimates the uniaxial tensile strength of concrete. After investigating the effects of various concrete properties and the packing strip width in the splitting test, a simple method for correcting this underestimation is established.
Comparison and regionalization of hydrologically based instream flow techniques in Atlantic Canada

Five hydrologically based instream flow assessment methods are compared for 70 rivers in Atlantic Canada; these methods included (i) Tennant method; (ii) 25% mean annual flow (25% MAF); (iii) median monthly flow (Q50) which includes the aquatic base flow (ABF); (iv) the flow equalled or exceeded 90% of time on a monthly flow duration curve (Q90); and (v) the statistical 7-day low flow frequency of a 10-year recurrence interval (7Q10). By comparing the different methods relative to the 25% MAF (the commonly used method in Atlantic Canada), we found that the Q90 and 7Q10 methods predicted extremely low instream flows during winter and summer months. Resource management decisions based on these extremely low flow predictions could have serious adverse consequences. The median monthly flow method (Q50) was recommended for gauged basins, whereas the Tennant method, the 25% MAF method, and the ABF methods were recommended for ungauged basins. For ungauged basins, we conducted a regional study to estimate the 25.
Judging What Others Enjoy: Desirability and Observability of Interests

Interests guide major life decisions such as choosing a career path, yet little is known about the subjective characteristics of individual differences in interests. Prior research on personality traits has demonstrated that subjective trait perceptions influence the validity and reliability of personality assessments. The current work expands the study of these subjective characteristics to individual differences in interests. Desirability and observability were assessed among 13 constructs: person orientation, thing orientation, RIASEC career interests, and Big Five traits. Judgments of interest dimensions varied considerably, with socially-related interests rated more desirable than thing-related interests. Some career-related interests were low in observability, and thus may be susceptible to being overlooked or categorized inaccurately. The patterns observed in interest characteristics were comparable to patterns in career choice hit rates, occupational prestige, and self-other convergence. The findings advance knowledge of differences between interest dimensions and suggest that subjective perceptions should be considered in interest assessment.
SAR and Temperature Evaluations of a 900 Mhz TEM Chamber for Cell Exposure

A dosimetry study is made for experiments on cultured cells exposed to 900 MHz microwave in the transverse electromagnetic (TEM) chamber. The exposure is characterized by the intensity and homogeneity of the specific absorption rate (SAR), as well as the exposure-induced temperature rise. The SAR distribution is calculated by using the finite-difference time-domain (FDTD) algorithm of the Maxwell equations. The finite-difference formulation of the bioheat conduction equation is used to calculate the temperature rise of the in vitro environment. Evaluations of the SAR and temperature are performed systematically for scenarios including two formations of cultured cells, two maximum fields, and four polarizations of the Petri dish holding the cell culture. The exposure is optimized by selecting scenarios with the highest SAR intensity, the best SAR homogeneity, and the effective temperature control.
CLASSIFYING TABLET PC MODELS BASED ON USER PREFERENCES FROM ONLINE REVIEWS

Online review sites are a good source of information for the manufacturers to understand the product market. Those sites allow users of the product to express their opinions about products which provide valuable information to other people. As these reviews are easily available and contain important information about the product and users, product designers can utilize those reviews for their new product design analysis. To be competitive the designer should consider the users preferences at the time of product designing and should offer product differentiation while offering a new product. Tablet PC is currently considered as a new class of product which needs to be well classified for the users. The history of portable computer tells that at first when portable computer arrived in the market it was also not well classified for different users. At first, almost all manufacturers had one line of portable computer in market which resembles the current time of tablet product. Motivated by the available online reviews by tablet users and the need of the tablet designers, we propose a method to extract interesting patterns from online reviews of tablet users. These extracted patterns can help the designers to understand the new product market of tablet PC to classify its model for different categories of users. We applied association rule mining technique on the online reviews to reveal interesting patterns between users and their preferred tablet features. For identifying this pattern we considered three categories of users: personal, business and student users. To examine the approach, the online reviews posted between April, 2010 and May, 2011 were collected. Then the resultant association rules between the users and tablet features are compared with the existing tablets in the market which supports this study.
DECENTRALIZED SINGLE-BEACON ACOUSTIC NAVIGATION: COMBINED COMMUNICATION AND NAVIGATION FOR UNDERWATER VEHICLES

This thesis reports the derivation and validation of two single-beacon acoustic navigation algorithms, as well as the development and experimental evaluation of a platformindependent acoustic communication (Acomms) system that enables combined communication and navigation. The navigation algorithms are centralized and decentralized formulations of single-beacon navigation, and employ range measurements from a single reference beacon to an underwater vehicle in addition to the vehicles Doppler velocity log, gyrocompass, and depth sensors to perform absolute (as opposed to relative) localization and navigation of the vehicle. The centralized single-beacon algorithm is based on the extended Kalman filter. We assume that the Kalman filter has simultaneous, real-time access to sensor measurements from both the vehicle and the beacon (e.g. the ship). The decentralized single-beacon algorithm is based on the information form of the extended Kalman filter. We assume that the information filter on the vehicle only has access to measurements from the vehicles on-board navigation sensors in real-time. The vehicle-based filter receives acoustic broadcasts from the reference beacon that contain information about the beacons position and sensor measurements. We show analytically and in simulation that iii