Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial neural network integrated heart rate variability with detection system

This paper describes an expert system of bio-information, which is combined with the smart devices using wireless sensor network (WSN). The physiological signals can be acquired by some wireless bio-sensor module, such as electrocardiogram (ECG), heart rate (HR), heart rate variability (HRV) and autonomic nervous system (ANS) activity, etc. The smart device transmits the bio-information by wireless network, which provides the real-time expert consultation function requirements for the purpose of bio-information analysis, storage and decision. The smart device is also connected the expert system server by the wireless network The HRV detection parameter value is adopted the criteria and basis for the features of diabetes by using artificial neural network (ANN) algorithm. The remote client can be inquired the bio-information at any time on internet information service (IIS) platform. In addition, the system platform is adequate for comparing the data files. The bio-information and diabetes information can be provided for the alert message timely and actively. The system of this paper is achieved a ubiquitous mobile physiological monitor purpose.
Fundamental Investigations of Ultrasonic Effects in Textile Wet Processing

Project Goals: To identify the mechanisms responsible for the observed advantages gained by employing ultrasound in textile wet processes and to assess the relative importance of the effects of ultrasonic irradiation on basic transport phenomena occurring in the dye solution, in the polymer, and in the textile. Abstract The use of ultrasound in textile wet processing offers many potential advantages. Previous work has shown that the use of ultrasonics in dyeing provides the following benefits: (1) energy savings and reduced processing times, (2) environmental improvements, (3) process enhancement, and (4) lower overall processing costs. A fundamental understanding of the operative processes are needed so that meaningful application of ultrasonics in textile processing may be made. This project is directed at determining the phenomena responsible for the effects of ultrasound in textile wet processing and the relative importance of phenomena occurring in the bulk solution and in the fiber. In this report, it is shown that ultrasound increases the swelling of cotton. Although the beneficial effects of ultrasound are also observed to occur in polyester, no effect of ultrasound on the glass transition temperature occurs. Finally, an experimental approach has been developed that will enable a direct determination of the effect of ultrasound on the diffusion coefficient of the dye within polyester and upon the partition coefficient.
Combined Serially Concatenated Codes and MMSE Equalization: An EXIT Chart Aided Perspective

Iterative minimum mean square error (MMSE) equalization and channel decoding is appealing, since it exhibits a lower complexity than maximum a posteriori (MAP) turbo equalization. However, the MMSE equalizer's attainable performance is upper-bounded by that recorded for transmission over the coded AWGN channel, a phenomenon usually referred to as "error shoulder". In order to circumvent this performance limitation, we propose a three-stage concatenated transceiver constituted by inner and outer coding as well as MMSE equalization, which achieves significant iteration gains, despite using low-complexity serially concatenated memory-1 convolutional codes. It is demonstrated that this three-stage scheme outperforms the traditional two-stage MMSE turbo equalization scheme above a certain Eb/N0 threshold. Furthermore, the convergence behavior of the proposed scheme is analyzed with the aid of 3D extrinsic information transfer (EXIT) charts and their 2D projections, leading to a number of practical iterative receiver design guidelines.
Formalized Entity Extraction Methodology for Changeable Business Requirements

Without a formal methodology extracting entities from business descriptions, a business requirement in the real world cannot be abstracted correctly into an entity-relationship schema. Once core entities are discovered, we can obtain an Entity-Relationship Diagram (ERD) by inserting relationships between/among the relevant entities and by aggregating some attributes into one of the entities or relationships. There have been so many studies on formal guidelines for extracting entities from business descriptions. Most of them adopt a knowledge-based approach which consults a knowledge base to recommend entity candidates. However, the knowledge-based approach usually fails to construct the most appropriate ERD for a given business domain. The approach performs the entity extraction on the stiff premise that an object would be classified as an entity if it happen to be classified as an entity once or more in past applications. The previous studies did not consider the flexibility in the object classification that even the same object could be regarded as either an entity or an attribute according to the various concerns of field workers. In this paper, we discuss some limitations of the previous researches on object classification and propose a new methodology for flexible entity extraction. To evaluate the practicality of the devised methodology, we developed a tool for the methodology and performed a case study on option trading applications with the tool.
Nonparametric Option Pricing by Transformation

This paper develops a nonparametric option pricing theory and numerical method for European, American and path-dependent derivatives. In contrast to the nonparametric curve fitting techniques commonly seen in the literature, this nonparametric pricing theory is more in line with the canonical valuation method developed Stutzer (1996) for pricing options with only a sample of asset returns. Unlike the canonical valuation method, however, our nonparametric pricing theory characterizes the asset price behavior period-by-period and hence is able to price European, American and path-dependent derivatives. This nonparametric theory relies on transformation to normality and can deal with asset returns that are either i.i. d. or dynamic. Applications to simulated and real data are provided and implications discussed.
LS-DYNA ® Best-Practices: Networking, MPI and Parallel File System Effect on LS-DYNA ® Performance

From concept to engineering, and from design to test and manufacturing, the automotive industry relies on powerful virtual development solutions. CFD and crash simulations are performed in an effort to secure quality and accelerate the development process. The recent trends in cluster environments, such as multi-core CPUs, GPUs, cluster file systems and new interconnect speeds and offloading capabilities are changing the dynamics of clustered-based simulations. Software applications are being reshaped for higher parallelism and multi-threads, and hardware configuration for solving the new emerging bottlenecks, in order to maintain high scalability and efficiency. In this paper we cover best practices for achieving maximum productivity through MPI optimizations, efficient networking utilization and usage of parallel file systems.
The Impact of an Agile Methodology on Software Development Costs

With the emergence of the Internet, software development has become an integral part of almost every facet of business today. Because consumers have a surmounting demand for immediacy and convenience, companies are pressured to add web-based services to their product offerings. Therefore, an increasing number of resources are being allocated to the development of profitable software to meet customer needs. Because companies desire to maximize their profits, an efficient allocation of these resources is necessary to minimize costs. This can be achieved by implementing a process model that best converts their resources to quality products. Agile software development is a relatively new framework aimed at reducing risk and production costs. It is based on iterative development and continuous feedback from all stakeholders throughout the development cycle. The switch to an agile process model from a traditional waterfall process model can reduce the risk associated with producing a large-scale software application by decreasing lead times and increasing team morale and productivity. My literature review and initial findings suggest that firms across industries can benefit from incorporating some degree of agility in their development process.
The Generalized Dimensionality Reduction Problem

The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applications. The main focus in dimensionality reduction is to represent the data in a smaller number of dimensions that the least amount of information is lost. In this paper, we study the dimensionality reduction problem from an entirely different perspective. We discuss methods to find a representation of the data so that a user-defined objective function is optimized. For example, we may desire to find a reduction of the data in which a particular kind of classifier works effectively. Another example (relevant to the similarity search domain) would be a reduction in which the cluster of k closest points provides the best distance based separation from the remaining data set. We discuss a general abstraction for the problem and provide the broad framework of an evolutionary algorithm which solves this abstraction. We test our framework on two separate instantiations of this framework and provide results illustrating the effectiveness and efficiency of our method.
Perception-oriented cooperation for multiple UAVs in a perception management framework: System concept and first results

This article presents a concept for Multi-UAV cooperation in manned-unmanned teaming (MUM-T) helicopter missions, embedded in military search & rescue operations. Due to their highly-dynamic nature, these kinds of missions are especially challenging. Thus, it is necessary for the UAVs to perform complex reconnaissance tasks in a semiautonomous manner. As these tasks are per se driven by their perceptive demands, the UAV automation should incorporate the specific constraints and limitations of its mission sensor & perception suite when conducting such missions. The perception-oriented cooperation of multiple UAVs offers a promising way to overcome these limitations, allowing to benefit from heterogeneous payload setups as well as from varying platform characteristics. In this paper, we present the concept and prototype of the Perception-Oriented Cooperation Agent (POCA), offering capabilities for the perceptive cooperation of multiple UAVs conducting complex reconnaissance missions. An integrated Multi-UAV perception planning & scheduling agent is described, specifically taking into account the informative needs of the H/C crew in control and the requirements of the mission sensor suite. The prototype of the planner is tested in three reduced toy problem setups, demonstrating it's Multi-UAV scheduling capabilities in different payload configurations.
A Randomized Effectiveness Study Comparing Trauma-Focused Cognitive Behavioral Therapy With Therapy as Usual for Youth

The efficacy of trauma-focused cognitive behavioral therapy (TF-CBT) has been shown in several randomized controlled trials. However, few trials have been conducted in community clinics, few have used therapy as usual (TAU) as a comparison group, and none have been conducted outside of the United States. The objective of this study was to evaluate the effectiveness of TF-CBT in regular community settings compared with TAU. One hundred fifty-six traumatized youth (M age = 15.1 years, range = 10–18; 79.5% girls) were randomly assigned to TF-CBT or TAU. Intent-to-treat analysis using mixed effects models showed that youth receiving TF-CBT reported significantly lower levels of posttraumatic stress symptoms (est. = 5.78, d = 0.51), 95% CI [2.32, 9.23]; depression (est. = 7.00, d = 0.54), 95% CI [2.04, 11.96]; and general mental health symptoms (est. = 2.54, d = 0.45), 95% CI [0.50, 4.58], compared with youth in the TAU group. Youth assigned to TF-CBT showed significantly greater improvements in functional impairment (est. = −1.05, d = −0.55), 95% CI [−1.67, −0.42]. Although the same trend was found for anxiety reduction, this difference was not statistically significant (est. = 4.34, d = 0.30), 95% CI [−1.50, 10.19]. Significantly fewer youths in the TF-CBT condition were diagnosed with posttraumatic stress disorder compared to youths in the TAU condition, χ2(1, N = 116) = 4.61, p = . 031, Phi = . 20). Findings indicate that TF-CBT is effective in treating traumatized youth in community mental health clinics and that the program may also be successfully implemented in countries outside the United States.
Spatio-temporal water body and vegetation changes in the Nile swamps of southern Sudan

Abstract. An assessment to describe and quantify the extent of changes in the channel and lagoon system of the Sudd was carried out using Landsat satellite images of 1973, 1979, 1997 and 2002. Using supervised classification and visual interpretation after referencing the images, the water bodies for a representative area between Bor and Shambe (a stretch of 150 km) were delineated. The resulting files were compared to establish and quantify changes in-between the years and as well compared to Lake Victoria outflow data to assess a likely correlation which was found for the largely water level dependent lagoon system. Changes in the channel system were interpreted to happen in a certain pattern but the extent of changes could not be correlated to the outflow data as they are influenced by other, here not considered factors like wind drift and channel blockages by vegetation.
Simple, exact placement of data in containers

Storage and other systems frequently need to distribute objects equally over several sites or devices. While this is simple for a static system organizing the distribution when additional containers (for example hard drives or web content delivery sites) become available is difficult. We present here a very simple scheme based on the factorial number system that allows equal dynamic distribution of mirrored or replicated objects.
Operationalising design fiction for ethical computing

Design fiction is a type of speculative design, where story worlds are crafted to then be used as a canvas upon which so-called diegetic prototypes can be sketched [10]. Because these prototypes exist only within story worlds they are not constrained by currently available technology; because of this design fictions are excellent means to open up space for critical conversations about the future [3, 8]. This project experiments with using design fiction as a novel way to explore the complexities of technology and ethics. We focus on one specific case to demonstrate the method we adopted, however the contribution is general in nature and may be applicable to other cases too. The work consists of two parts, this paper and a 'design fiction documentary' film, 'Care for a Robot' [6]. The paper and film are intended to be viewed together.
A safe path vector protocol

An IP routing protocol is safe if it is guaranteed to converge in the absence of network topology changes. BGP, currently the only interdomain routing protocol employed on the Internet, is not safe in this sense. It may seem that the source of BGP's potential divergence is inherent in the requirements for any interdomain routing protocol-policy-based metrics must be allowed to override distance-based metrics, and each autonomous system must be allowed to independently define its routing policies with little or no global coordination. In this paper we present a simple path vector protocol (SPVP) that captures the underlying semantics of BGP by abstracting away all nonessential details. We then add a dynamically computed attribute to SPVP routing messages, called the route history. Protocol oscillations caused by policy conflicts produce routes whose histories contain cycles. These cycles identify the policy conflicts and the autonomous systems involved. SPVP is made safe by automatically suppressing routes whose histories contain cycles. We discuss how this safe SPVP can be used in the design of a safe BGP.
Solvation of Ion Pairs: The Poisson-Langevin Model

Salt bridges play an important role in protein stability and protein-protein interactions.We have computed the electrostatics free energies of analogues of charged amino acid sidechains using two different implicit solvent models, the Poisson-Boltzmann (PB) model and our own Poisson-Langevin (PL) model,and compared their values to results from explicit solvent free energy calculations.A systematic difference is observed between the PB and explicit results, which we attribute to the basic assumption of PB that water density is constant.In contrast, the PL results match remarkably well with the explicit solvent results.We attribute this success to the ability of the PL model to give a realistic picture of the dielectric response of water to the presence of charged molecules.
Improving biosensor analysis

The quality of optical biosensor data must be improved in order to characterize the mechanism and rate constants associated with molecular interactions. Many of the artifacts associated with binding data can be minimized or eliminated by designing the experiment properly, collecting data under optimum conditions and processing the data with reference surfaces. It is possible to globally fit high‐quality biosensor data with simple bimolecular reaction models, which validates the technology as a biophysical tool for interaction analysis. Copyright © 1999 John Wiley & Sons, Ltd.
Procrastinating in College: Students' Readiness and Resistance to Change

Procrastination, the deferral of activities until a later time, is widespread yet problematic in college (Steel, 2007). Practitioners in various student­affairs contexts address procrastination (Truschel & Reedy, 2009), but not all students benefit from this support (Dembo & Seli, 2004). To understand this challenge, we explored students’ written reflections about whether their procrastination habits changed during the semester in which they took a study­skills course, as well as why they believed change had (or had not) occurred. Our purpose was to illuminate processes behind changes in procrastination while also giving voice to students’ difficulties in changing.
An XML vocabulary for soft computing

This paper presents iXSCL, an XML based language for the specification of objects in the Soft Computing area. iXSCL adopts a compositional approach in which objects are constructed by combining other objects. It is implementation independent; syntax and semantics are formally defined to state the expected behavior of any implementation. The EDAB (which stands for Hardware/Software Environment for the Design and Development of High Performance Applications of Fuzzy Logic) project is also introduced as an application of the language.
Forschungsberichte der Fakultät IV – Elektrotechnik und Informatik Exploiting Locality of Churn for FIB Aggregation

—Snapshots of the Forwarding Information Base (FIB) in Internet routers can be compressed (or aggregated) to at least half of their original size, as shown by previous studies. In practice however, the permanent stream of updates to the FIB due to routing updates complicates FIB aggregation: keeping an optimally aggregated FIB in face of these routing updates is algorithmically challenging. A sensible trade-off has to be found between the aggregation gain and the number of changes to the aggregated FIB. This paper is the ﬁrst to investigate whether the spatial and temporal locality properties of updates to the tree-like FIB data structure can be leveraged by online FIB aggregation. Our contributions include (a) an empirical study of the locality of updates in public Internet routing data, (b) the speciﬁcation and simulations of our Locality-aware FIB Aggregation algo-rithm (LFA), and (c) a competitive analysis that sheds light on the performance of online algorithms under worst-case update streams. Our results show that even a simple algorithm like LFA can effectively exploit the locality of FIB churn to keep low the number of updates to the aggregated FIB, as most FIB updates affect only a small number of regions in the FIB.
A Novel Steering System for a Space-Saving 4WS4WD Electric Vehicle: Design, Modeling, and Road Tests

In this paper, we present a steering system for a space-saving four-wheel steering and four-wheel drive (4WS4WD) electric vehicle (EV) with higher maneuverability and flexibility. The proposed system consists of three main parts, namely, an improved two-front-wheel steering (2FWS) mechanism, an omnidirectional independent steering (OIS) mechanism integrated with steer-by-wire, and a control strategy for the space-saving steering system of an EV. First, the 2FWS mechanism of the proposed 4WS4WD EV is designed to control the front wheels via the redesigned steering system when the vehicle is traveling at high speeds. Second, a retrofitted OIS mechanism is proposed to achieve an angle range of -35° ~ +90°, which is a solid basis for zero radius turning (ZRT) and lateral parking (LP) motion. The driver can control the OIS to turn the four wheels independently, which is assisted by steer-by-wire technologies. Finally, the control strategy for the space-saving steering system of the EV is redefined for the integrated 2FWS and OIS, which can easily handle the EV for high-speed driving or high-maneuverability turning, such as ZRT and LP motion. This system was field tested on a homemade 4WS4WD EV, and the final system simulation and performance evaluation demonstrated the validity of the proposed steering system for the space-saving 4WS4WD EV.
Iris structure acquisition method

Iris recognition is accepted as one of the best biometric methods. The extraction of a unique iris signature still remains impossible due to uncertainty of results in commonly used feature extraction methods. As a result of previous research, iris structure analysis was chosen as the best method for human identification based on iris pattern, in opposite to classical wavelet texture analysis methods. The first step of this procedure is the acquisition of iris structure. In this paper, a new approach regarding human iris image acquisition is presented, which allows the extraction of a structural model, i.e., the placement of iris muscles and caverns as well as their shape changes.
Supplementary Fig 1. Analysis of Nalcn Tissue Expression. (a) Dot Blot Examining

NALCN mRNA expression in several human tissues. NALCN is most strongly expressed in several brain regions, and is also detected to a lesser extent in heart tissues and glandular tissues, including the thyroid gland, the adrenal gland and the pancreas. (B) RTqPCR analysis of mouse pancreas (average of 5 mice) demonstrates robust expression in islets and virtually no expression in exocrine pancreas (RTqPCR of whole mouse brain served as a control). Data are presented as % of β2M level ± S.
Assessing the risk of small disturbance instability in mixed AC/DC networks

This paper presents a risk-based Probabilistic Small-disturbance Security Analysis (PSSA) of a mixed AC/DC power system. The proposed approach establishes the probability density functions (pdfs) for the critical system modes based on the stochastic variation of operational system uncertainties (such as generation, loading, and HVDC line power flows). From these pdfs the probability of unstable operation or poorly damped oscillations in the system is determined. This analysis can be completed for any given loading scenario and level of uncertainty. Furthermore, the approach is utilized to establish risk-based power flow limits to ensure acceptable system performance.