Miracle-dz/UniFAR-FTUs huggingface dataset:
Experimental Analysis of Fabrication Parameters in the Development of Microfluidic Paper-Based Analytical Devices (µPADs)

Microfluidic paper-based analytical devices (µPADs) have emerged as viable multiplexable platforms with the potential to transcend existing analytical techniques in resource-limited settings. µPADs are fabricated by patterning hydrophobic materials on hydrophilic paper. Reproducibility in fabrication is essential in a myriad of applications and particularly, in the development of point-of-care (POC) diagnostic devices that utilize paper-based platforms. A critical step in fabrication involves the wax heating process that determines the channel dimensions and the depth at which hydrophobic wax material permeates paper to create barriers. In this paper, we assess µPAD viability by examining two fabrication parameters that affect wax ink spreading and permeation using a commercial heat press: temperature and time of heating. Analysis of the µPADs revealed that functional chips could be fabricated at temperatures between 143 and 215 °C and time of heating between 50 and 135 s, while non-functioning chips were obtained at temperatures between 76 and 140 °C and time of heating between 5 and 45 s. Wax ink spread and permeated paper consistently between 143 and 215 °C. Also shown is a simple three dimensional (3D) microfluidic channel fabricated in a single sheet of cellulose paper utilizing the fabrication conditions described herein. This work demonstrates that controlling the extent of wax printing in the fabrication process of a µPAD can yield versatile and interesting devices for use in both resource-rich and -limited settings.
DDAS using Kerberos with Adaptive Huffman Coding to enhance data retrieval speed and security

The increasing fad of deploying application over the web and store as well as retrieve database to/from particular server. As data stored in distributed manner so scalability, flexibility, reliability and security are important aspects need to be considered while established data management system. There are several systems for database management. After reviewing Distributed data aggregation service(DDAS) system which is relying on Blobseer it found that it provide a high level performance in aspects such as data storage as a Blob (Binary large objects) and data aggregation. For complicated analysis and instinctive mining of scientific data, Blobseer serve as a repository backend. WS-Aggregation is the another framework which is viewed as a web services but it is actually carried out aggregation of data. In this framework for executing multi-site queries a single-site interface is provided to the clients. Simple storage service (S3) is another type of storage utility. This S3 system provides an anytime available and low cost service. Kerberos is a method which provides a secure authentication as only authorized clients are able to access distributed database. Kerberos consist of four steps i.e. Authentication Key exchange, Ticket granting service Key exchange, Client/Server service exchange and Build secure communication. Adaptive Huffman method to writing (also referred to as Dynamic Huffman method) is associate accommodative committal to writing technique basic of Huffman coding. It permits compression as well as decompression of data and also permits building the code because the symbols square measure is being transmitted, having no initial information of supply distribution, that enables one-pass cryptography and adaptation to dynamical conditions in data.
Content-based music genre classification using timbral feature vectors and support vector machine

This paper proposes a novel content-based music genre classification method using timbral feature vectors and support vector machine (SVM). The timbral feature vectors used in the proposed method consist of both the long-term and the short-term features which can represent the time-varying behavior of music. These features are mel-frequency cepstral coefficient (MFCC) plus log energy with different frame length. The timbral feature vectors will be applied to train an optimized non-linear decision rule for music genre classifier via SVM. This paper selects nine kinds of different music, including classical, jazz, dance, lullaby, country, Bossa Nova, piano, blue note, and hip-hop, for performance evaluation. Experimental results show that the proposed method can achieve the average accuracy rate of 86% for the nice music genres classification.
Teacher with Learner Model: Educating Youth Labeled with Emotional and Behavioral Disorders

Literature suggests there is as a significant research-to-practice gap in education that contributes to challenges faced by students labeled with Emotional and Behavioral Disorders (EBD). In Minnesota, students labeled with EBD have a 58% dropout rate and are in need of a different approach to their education. This theoretical research project explored the research-topractice gap through extensive data analysis and conceptualizing of current discoveries in neuroscience and the physiological affects of emotional and social interactions. This project allowed for in-depth exploration of three texts, Emotional Intelligence and Social Intelligence, both by Daniel Goleman, Ph.D and Lost at School, by Ross Greene, Ph.D. Using a Constructivist Grounded Theory methodology, this research highlighted key concepts that contribute to challenging classroom behavior and offers a shift of perspective in how we approach special education. The findings of this project resulted in the creation of the Teacher with Learner education model which offers that the best learning occurs via a meaningful relationship and in emotionally secure, attuned, empathic and responsive classrooms. EBD: ED MODEL
Characterization of the Circumlimbal Suture Model of Chronic IOP Elevation in Mice and Assessment of Changes in Gene Expression of Stretch Sensitive Channels

To consider whether a circumlimbal suture can be used to chronically elevate intraocular pressure (IOP) in mice and to assess its effect on retinal structure, function and gene expression of stretch sensitive channels. Anesthetized adult C57BL6/J mice had a circumlimbal suture (10/0) applied around the equator of one eye. In treated eyes (n = 23) the suture was left in place for 12 weeks whilst in sham control eyes the suture was removed at day two (n = 17). Contralateral eyes served as untreated controls. IOP was measured after surgery and once a week thereafter. After 12 weeks, electroretinography (ERG) was performed to assess photoreceptor, bipolar cell and retinal ganglion cell (RGC) function. Retinal structure was evaluated using optical coherence tomography. Retinae were processed for counts of ganglion cell density or for quantitative RT-PCR to quantify purinergic (P2x7, Adora3, Entpd1) or stretch sensitive channel (Panx1, Trpv4) gene expression. Immediately after suture application, IOP spiked to 33 ± 3 mmHg. After 1 day, IOP had recovered to 27 ± 3 mmHg. Between weeks 2 and 12, IOP remained elevated above baseline (control 14 ± 1 mmHg, ocular hypertensive 19 ± 1 mmHg). Suture removal at day 2 (Sham) restored IOP to baseline levels, where it remained through to week 12. ERG analysis showed that 12 weeks of IOP elevation reduced photoreceptor (−15 ± 4%), bipolar cell (−15 ± 4%) and ganglion cell responses (−19 ± 6%) compared to sham controls and respective contralateral eyes (untreated). The retinal nerve fiber layer was thinned in the presence of normal total retinal thickness. Ganglion cell density was reduced across all quadrants (superior −12 ± 5%; temporal, −7% ± 2%; inferior −9 ± 4%; nasal −8 ± 5%). Quantitative RT-PCR revealed a significant increase in Entpd1 gene expression (+11 ± 4%), whilst other genes were not significantly altered (P2x7, Adora3, Trpv4, Panx1). Our results show that circumlimbal ligation produces mild chronic ocular hypertension and retinal dysfunction in mice. Consistent with a sustained change to purinergic signaling we found an up-regulation of Entpd1.
Timing Evaluation of the Known Cryptographic Algorithms

A new timing evaluation model based on random number generating mechanism is proposed here to analyze the time-consuming of the known cryptographic algorithms: triple-DES, AES and RSA. In this model for evaluation, there are two evaluating modes: different plaintexts in the same key (DPSK), the same plaintext in different keys (SPDK). As the basis of the evaluating model, the plaintext and the corresponding key are both generated by random numbers. The results show that, under the same key length and for the same size of the processed data, RSA is about several hundred times slower than AES, triple-DES is about three times slower than AES, and there are other runtime characteristics which further highlights the difference between these three cryptographic algorithm and provides a reference value of for people’ s rational using.
Ontology matching: from PropBank to DBpedia

While many systems such as those from Seddiqui and Aono (2009) and Cruz et al. (2009) use combinations of terminological and structural methods, the use of extensional and semantic methods in systems such as the one by Jean-Mary et al. (2009) have been largely unexplored (Pavel and Euzenat, 2012). Similarly to these approaches, we use a combination of alignment methods to create mappings between PropBank (Palmer et al., 2005) predicates and DBpedia (Auer et al., 2007) properties. In particular, we identify predicate– argument structures from Wikipedia articles to extract triples and use a combination approach of extensional and semantical methods during the matching process to align the extracted triples with an exisiting DBpedia dataset.
Using Halftoning and Watermarking Techniques for Tampering

In this paper we present a system with the goal of protecting and restoring tampered information in images and videos. With the proposed approach is possible we implement a tampering detection algorithm. The proposed algorithm is based on watermarking and halftoning techniques. At the encoder side, the algorithm generates a binary version (mark) of the original image or video frame (picture) using a halftoning technique. Then, a watermarking technique is used to embed this mark into the host picture. At the decoder side, after the lost or tampered regions are identified, the original content is recovered by extracting the dithered mark corresponding to the affected areas. An inverse halftoning algorithm is used to convert the dithered version of the picture into a good quality colored multi-level approximation of the original content.1 Index Terms — tampering, compression, halftoning, watermarking, data hiding, qim, forgery.
Effect of Network Relations on the Adoption of Electronic Trading Systems

Information systems can serve as intermediaries between the buyers and the sellers in a market, creating an "electronic marketplace" that lowers the buyers' cost to acquire information about sellers' prices and product offerings. Although electronic trading systems provide potential to create an efficient market structure, we witness that a $45 trillion fixed-income market still makes little use of these systems. Low penetration of electronic trading systems in the marketplace is at odds with the existing information technology research doctrine. The reason is that the creation of efficient market structure through an electronic marketplace is based on macro-level interfirm relationships that do not take into account the recurrent micro-level, interpersonal interaction among the market actors. Our empirical investigation, based on face-to-face interviews with 90 fixed-income senior managers and traders from 25 financial institutions, provides a unique insight into the social capital based on social networks of interpersonal relationships in the fixed-income market. Our research findings show that the market structure of embedded interpersonal ties enables participants to take advantage of information asymmetry for profit taking. As a result, imposition of solely electronic trading systems on the present fixed-income market structure is at odds with the present interfirm market norms and business processes enacted for large transactions among market makers and institutional investors.
Absorption enhancement and spectrum selectivity of refractory plasmonic nanostructures

We demonstrate a broadband spectrum absorber using random structures on refractory plasmonic material (Tungsten) resulting in the absorption efficiency over 90% in the wavelength range from 200 nm to 1100 nm. Numerical simulations for the structure with same parameters agree well with the experimental results. Random nanostructures provide more freedom for enhancing absorption and spectrum selectivity than periodic nanostructures.
Objectification of dysarthria in Parkinson's disease using Bayes theorem

This paper presents an assessment of vocal impairment for separating healthy persons from patients with Parkinson's disease (PD). We have recently shown that deterioration of speech performances in PD speakers is notable from an early stage of the disease, even before starting pharmacotherapy. In this study, we present the potential of the simple Bayes rule to reveal changes in degradable speech performance in the course of PD-related dysarthria. The various speech data were recorded from 23 speakers with recently diagnosed PD and 23 healthy speakers. It has been found that 19 various acoustic measurements are able to differentiate PD significantly from healthy speakers. Subsequently, the Bayes theorem was applied to each of these measurements. As a result, the 21 PD patients and 21 healthy people were correctly classified according to their group. The Bayes theorem thus confirms its feasibility for identifying the features of the impaired voice.
Insulin-like growth factor-I induces reactive oxygen species production and cell migration through Nox 4 and Rac 1 in vascular smooth muscle cells

Aims We showed previously that insulin-like growth factor-I (IGF-I)-induced vascular smooth muscle cells (VSMCs) proliferation through the production of reactive oxygen species (ROS). However, how IGF-I-induced ROS was unknown. The aim of this study is to investigate the mechanisms by which IGF-I induces ROS production in VSMCs. Methods results Reverse transcription-PCR, real-time PCR, immunoblotting, and confocal microscopic image analysis were employed to determine protein expression, small Rho-GTPase Rac1 activation, and ROS production. Inhibition of NADPH oxidase 4 (Nox4) or Rac1 was performed by means of siRNA technology. Inhibition of Rac1 activity was accomplished using dominant-negative form of Rac1 (N17Rac1) plasmid. VSMCs from Sprague-Dawley rat thoracic aortas were used in this work.IGF-I enhanced ROS production in rat VSMCs. IGF-I increased the protein level of Nox4 but had little effect on its mRNA level. IGF-I induced the activation of Rac1. Either knockdown of Nox4 or inactivation of Rac1 impaired IGF-I-induced ROS. Over-expression of Nox4 increased NADPH oxidase activity, which was not influenced by inactivation of Rac1. Neither over-expression nor knockdown of Rac1 influenced Nox4 expression. Knockdown of Nox4 did not affect IGF-I-induced activation of Rac1. IGF-I increased matrix metalloproteinase (MMP)-2 and 9 activity and promoted VSMC migration, which was inhibited by knockdown of Nox4 and inactivation of Rac1. Conclusion Our results suggest that Nox4 and Rac1 mediate IGF-I-induced ROS production and cell migration in VSMCs and that Nox4 is not regulated by Rac1.
Design of a W band filter antenna array with low sidelobe level using gap waveguide

Gap waveguide (GW) was investigated to realize low loss millimeter wave (mm-wave) transmission line in recent years. In this paper, groove gap waveguide (GGW) is used to design a W band filter antenna array. A 14 slots antenna array with a center fed structure and a fourth order cavity bandpass filter are designed respectively. Then the method of integration is used in the combining of antenna and filter to eliminate the transition loss between the two parts. Simulation result shows an antenna gain of 18.64dBi and a side lobe level (SLL) of 20.64dB at the center frequency 94.55GHz. Interference signal outside the frequency range 92.8–96.3GHz is compressed efficiently in our design.
FLAME: A Flow-Level Anomaly Modeling Engine

There are several remaining open questions in the area of flow-based anomaly detection, e.g., how to do meaningful evaluations of anomaly detection mechanisms; how to get conclusive information about the origin and nature of an anomaly; or how to detect low intensity attacks. In order to answer these questions, network traffic traces that are representative for a specific test environment, and that contain anomalies with selected characteristics are a prerequisite. In this work, we present flame, a tool for injection of hand-crafted anomalies into a given background traffic trace. This tool combines the controllability offered by simulation with the realism provided by captured traffic traces. We present the design and prototype implementation of flame, and show how it is applied to inject three example anomalies into a given flow trace. We believe that flame can contribute significantly to the development and evaluation of advanced anomaly detection mechanisms.
Sensitivity of reliability growth models to operational profile errors

The estimation of the operational profile is one of the key factors during the use of software reliability growth models. However, the operational profile can be very difficult to estimate in particular applications such as software used for process control. In other cases, a single operational profile may not be sufficient to describe the use of the product by a number of different customers. An operational profile may also change during the development of software or during its operational usage. All these cases may lead to errors in the estimation of the operational profile. The paper describes an empirical evaluation of the sensitivity of reliability growth models to errors in the estimation of the operational profiles. Some reliability growth models are applied during the testing phase of a software system. The particular characteristics of the case study allow the measurement of the actual reliability growth of the software and its comparison with the estimations provided by the models. Measurement and comparison are repeated for different operational profiles giving information about the effect of a possible error in the estimation of the operational profile. Results show that errors in the operational profile estimation do not heavily affect reliability estimates and that their influence is strongly dependent on the accuracy with which the software system has been tested.
Cardiopulmonary coupling during exercise.

Muscular exercise imposes the most potent sustained stress to cellular energetics. At work rates below the anaerobic threshold (i.e. no sustained lactic acidosis), the ventilatory and cardiovascular responses regulate arterial PCO2, [H+] and PO2 at or close to their resting levels in the steady state. However, dynamic forcing and systems-analytic techniques reveal two phases of the non-steady-state response dynamics. In the first phase, increased gas flow to the lungs results solely from increased pulmonary blood flow, with alveolar gas tensions being maintained at their resting levels by a coupled increase in ventilation (VE): evidence for cardiopulmonary coupling being provided by experimentally-altered in man and dog. Arterial chemoreception does not impose humoral feedback control in this phase. Rather, rapid feedforward mechanisms operate, with both intrathoracic (largely cardiac) and exercising-limb mechanoreception proposed as afferent sources. In the second phase, cardiogenic gas flow to the lungs is augmented by altered mixed venous blood gas contents; ventilation responding exponentially with a time constant (tau) which is an inverse function of carotid body gain. The close dynamic coupling of VE with CO2 output (tau VE tau TVCO2) in this phase results in arterial PCO2 and [H+] being maintained close to their resting levels. However, the kinetic dissociation between VE and O2 uptake, with tau VE much greater than tau VO2, leads to an appreciable transient fall of arterial PO2. The respiratory compensation for the sustained lactic acidosis at higher work rates is predominantly mediated by the carotid bodies in man: the aortic bodies subserving no discernible role. Control of the respiratory and circulatory responses to exercise is therefore mediated by both neural and humoral mechanisms: and an important control link appears to couple the responses, via feedforward ventilatory control of cardiac origin.
Generative walkthroughs: to support creative redesign

Generative Walkthoughs support the redesign phase of an iterative design process, helping designers generate new design alternatives informed by social science principles. Designers first analyze their own scenarios or storyboards with respect to concrete examples drawn from five socio-technical principles: situated action, rhythms & routines, co-adaptive systems, peripheral awareness and distributed cognition. They then walk through the scenario and brainstorm new design alternatives that reflect the design principle in question. This combination of structured walkthroughs with focused brainstorming helps designers, particularly those with little social science background, to generate concrete, actionable ideas that reflect key findings from the social science literature. We taught Generative Walkthroughs in ten courses with over 220 students and found that technically-trained students not only learned these socio-technical principles, but were able to apply them in innovative ways in a variety of design settings.
New Insights into the Molecular Basis of the House Dust Mite-Induced Allergic Response

House dust mite (HDM) represents world-wide one of the most common source of aeroallergens word-wide and more than 50% of allergic patients are sensitized to these allergenic molecules. Although the induction of specificTh2 cells as well as IgE by HDM is well understood, the events that control the initial Th2 polarization in response to HDM are still poorly defined. Notably, mechanisms by which HDM is recognized by the airway mucosa, interacts with barrier epithelial cells, leading to dendritic cell (DC) recruitment, activation, and subsequent Th2-mediated responses, remains to be elucidated. Moreover, whereas the allergenicity of the group 1 major mite allergens could be largely explained by their intrinsic proteolytic activity, the fundamental mechanistic question regarding the putative intrinsic allergenic properties of the group 2 major mite allergen remained unanswered to date. This review summarizes new insights into diverse determinants that contribute to the HDM allergenicity. In addition to the auto-adjuvant capacity of the two major mite allergen Der p 1 and 2, due to proteolytic activity and functional mimicry of the Toll-like receptor 4 (TLR4) co-receptor MD2 respectively, contaminating factors derived from HDM carriers, mainly endotoxins (LPS) et ￻ -glucans, are very important to activate the innate immune response which, in turns, is in- volved in the development of allergic response by HDM.