Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Analysis of DXPRUM and DSDM

Agile methodologies are taking over the traditional software development methodologies with the passage of time. These methodologies involve more benefits than traditional software development methodologies and very fewer drawbacks. Due to these benefits, the software development teams are more involved in Agile methodologies. There are a number of Agile methodologies which are famous in software development community. Each of them has its own benefits and drawbacks. Proposing one suitable Agile methodology for a project may benefit the project in one direction but may also cause the project to suffer in some other direction. Due to this fact, the idea of hybrid Agile methodologies evolved. DXPRUM is also one of those hybrid methodologies and is a combination of DSDM, XP, and Scrum. This paper presents a comparative study of DXPRUM and DSDM by applying them to some real time projects and thus comparing their results.
A robust parameter design study in turning bright mild steel based on taguchi method

The aim of the robust design technique is to minimize the variance of the response and orthogonal arrays are an effective simulation aid to evaluate the relative effects of variation in different parameters on the response with the minimum number of experiments. Using this technique of robust design the quality of a product or process can be improved through minimizing the effect of the causes of variation without eliminating the causes. This study discusses an investigation into the use of Taguchi Parameter Design for optimizing surface roughness generated by a CNC turning operation. Controlled factors include spindle speed, feed rate, and depth of cut in straight turning of bright mild steel bar using HSS tool. It have been studied in review research that feed rate has got the most significant influence in controlling dimension characteristics, material specially observed in turning bright mild steel size possibility & emissions.
On a Diffuse Reflection of the a.- Particles.

one employed in these experiments. The number of ions produced by a single a-particle under the special conditions of the experiment is easily found from the curve given in fig. 3. The determination of the ionisation current in the bulb then gives at once the total number of a-particles. Care has to be taken to obtain saturation and to avoid ionisation by collision, which occurs when too large a voltage is applied.
High Gain Operational Amplifier Design Using Positive Feedback and Current Distrubted Load

The paper represents low noise, high gain differential amplifier circuit using positive feedback at load and at differential end to increase gain.The circuit is designed with short-channel MOSFETs, low noise, and low voltage, resulting in DC gain amendment over a conventional CMOS diff-amp and commensurable to a kenned published diff-amp circuit.
Individualism and climate change policies: International evidence

This paper examines the extent to which the cultural dimension of individualismcollectivism matters for the stringency of climate change policies across the world. I postulate that individualistic societies are endowed with a better capacity to implement stringent climate change regulations compared with their collectivistic counterparts. This notion is tested using data for a world sample of up to 92 countries. To achieve causal inference, I isolate exogenous sources of variation in individualistic cultures, based on blood distance to the UK and historical pathogen prevalence. The results lend strong empirical support to my propositions. I also find evidence that individualism exerts a positive influence on the stringency of climate change policies through enhancing the quality of governance and female political presentation. To account for unobserved country-specific factors, I perform subnational analyses using data from the World Values Survey. The results indicate that survey participants with an orientation towards individualistic cultures tend to self-report positive attitudes to proenvironmental policies, which is consistent with the international evidence.
An Approach of Cross-Domain Sentiment Analysis for Opinion Mining

- Now a day’s sentiment analysis is important for various task and applications like market analysis, opinion mining, contextual advertising, etc. Domain generalization remains a challenge in sentiment analysis hence this paper proposed methodologies to perform cross-domain sentiment analysis. In cross-domain sentiment analysis, classifier trained on one domain is used to classify other domain. We create a glossary using labeled data from source domain and unlabeled data from both source and target domain. This glossary is used to handle a feature mismatch problem, and contains clusters of semantically similar words. For generating a glossary, first we calculate the co-occurrence matrix by point wise mutual information (pmi) [22] and using distributional hypothesis [23] we efficiently create a glossary. At test time, this glossary will be used to find the similar words, and hence solve the feature mismatch problem. Proposed methodologies will really outperform and achieve accuracy near to domain adaptation.
Survey on Techniques for Cross Platform Mobile Application Development

— Smart phone is used by most of the population. Over thousands of applications are used daily and a new application gets launched as per need. In order to do work on phones itself many desktop applications are getting converted to mobile version by developers. And it’s real challenge to market are these applications and reach to the maximum users. From developer point of view for application to reach to most of the end users it need to run on max platforms, this needs redevelopment of application, we can solve this problem to some extent by developing cross platform application without additional investment. Several techniques are available which will help to make it happen. Survey of these techniques could help application developers to make a proper choice.
Review on Cloud Computing Security Measure – Role-Based Access Control

— Cloud Computing is an emerging technology. It is receiving significant attention by both research community and industries. Cloud computing security is an important issue due to increasing scale of users. Therefore, series of security concepts are required to be revised such as Role-Based Access Control (RBAC) proposed by the National Institute of Standards and Technology (NIST) which promises to become a more prominent security model today. The aim of this article is to describe Access Control, RBAC model, its drawback and to identify proposed research work to reduce security risk.
BEAM DYNAMIC STUDY OF A COMPACT SUPERCONDUCTING SKELETON CYCLOTRON (SSC) FOR BNCT AND RADIOISOTOPE PRODUCTION

This work presents a preliminary study on the beam dynamics of a compact superconducting skeleton cyclotron (SSC) for Boron Neutron Capture Therapy (BNCT) and radioisotope production. This work adopted an air-core structure to avoid any residual magnetisation from the hysteresis loop of an iron yoke. This leads to a higher reproducibility of magnetic field in a shorter time, which is very favourable for a hospital environment. The proposed design is a compact K-80 cyclotron with a small extraction radius of 40 cm for a 50 MeV H+ and 40 MeV D+ beam. It includes a series of combination of circular high-temperature superconducting (HTS) coil, acting as the main coil and trim coils, as well as 3 sector coils with a maximum spiral angle of 40o. In this work, the configuration of these coils is optimized to generate an isochronous field with adequate focusing force. On top of this, the corresponding equilibrium orbits for H+ particle, and some important beam properties such as the phase excursion, betatron oscillation and beam focusing capability are also included in order to evaluate the feasibility of the generated magnetic field distribution.
Development of Novel EC-GMR Sensor Systems for Inspection of Multilayer Structures with Steel Fasteners

The inspection of deep embedded cracks under fastener heads (CUF) in multi-layer structures remains a significant challenge in the aviation industry and has resulted in development of several variations of eddy current based techniques [1]. In recent years, eddy current testing methods combined with magnetoresistive (MR) sensors have shown promise in detecting 2 and 3 layer defects around fastener heads. An eddy current-giant magnetoresistive (EC-GMR) sensor system has been developed and shown to be reliable in detection of subsurface cracks at Aluminum rivet sites in a multi-layer structure [2]. With linear multi-line excitation currents, and GMR sensor mounted on the line of symmetry the normal magnetic field associated with the induced currents can be measured. In the presence of fasteners and/or cracks, the normal magnetic field (Bz ) caused by induced currents is picked up by the GMR sensor and the asymmetry of the normal component signal is analyzed for crack inspection [2]. However in the presence of steel fasteners the conventional GMR signal (normal field component) due to steel fastener is dominant and completely masks the presence of defect signal. This paper presents the feasibility study of using tangential components of the induced fields Bx and By components of induced magnetic field. Experimental validation of the concept will be presented along with novel signal analysis methods combining information in all 3 components Bz, Bx and By for automated defect detection. References 1. J. S. Knopp, J. C. Aldrin, K.V. Jata, “Computational Methods in Eddy Current Crack. Detection at Fastener Sites in Multi Layer Structures,” Nondestructive Testing and Evaluation, Vol. 24, No. 1-2, March 2009, pp. 103-120. 2. N. V. Nair, V. R. Melapudi, H. R. Jimenez, X. Liu, Y. Deng, Z. Zeng, L. Udpa, T. J. Moran, and S. S. Satish, “A GMR-based eddy current system for NDE of aircraft structures,” IEEE Trans. Magn. , Vol. 42, No. 10, Oct. 2006, pp. 3312-3314. 18th World Conference on Nondestructive Testing, 16-20 April 2012, Durban, South Africa M o re i n fo a b o u t th is a rt ic le : h tt p :/ /w w w . n d t. n et /? id = 1 2 4 2 7
Spatial Division Multiplexing for 4G Wireless Systems under Fading Channels using Spatial Modulation

— Because of the enormous capacity upsurge a MIMO systems offer, such systems gained a lot of interest in mobile communication research. One indispensable problem of the wireless channel is fading, which occurs as the signal follows multiple paths between transmitter and receiver antennas. Fading can be mitigated by diversity, which means that the information is transmitted not only once but several times, hoping that at least one of the replicas will not undergo severe fading. There are various coding methods, a main issue in all these schemes is the exploitation of redundancy to achieve high reliability, high spectral efficiency and high performance gain for MIMO-OFDM systems earlier. In this paper, we are going to introduce an orthogonal spatial division multiplexing in which divide the central signal streams into both time and frequency. Also to increase the spatial diversity we are going to introduce spatial modulation along with STBC for our new MIMO-OSDM. Experimental results show that, proposed system outperform the existing MIMO-OFDM system in terms of performance measure for various modulation schemes.
IL-23, but not IL-12, plays a critical role in inflammation-mediated bone disorders

Interleukin-12 (IL-12) and IL-23 are thought to have central roles in inflammation and are critical to pathologies associated with inflammation-induced bone disorders. The deletion of IL-12p40 (a common subunit of IL-12 and IL-23) can improve bone regeneration. However, the relative roles of IL-12 and IL-23 in bone disorders are largely unknown. Methods: Ectopic bone formation and skull defect models were established to evaluate the relative roles of IL-12 and IL-23 in inflammatory bone disorders. Differences in bone mass among WT, IL-12p35-/-, and IL-12p40-/- mice (young and elderly) were detected by micro-CT. Osteogenic and osteoclastic activities were explored using ELISA, qRT-PCR, and histological analysis. Moreover, the mechanisms by which IL-12 and IL-23 regulated the differentiation of BMMSCs and RAW264.7 cells were explored using Alizarin Red and tartrate-resistant acid phosphatase staining in vitro. Apilimod was used to inhibit IL-12 and IL-23 production in vivo. Results: Mice deficient in IL-12p40 promoted bone formation and protected against aging-related bone loss. By contrast, bone loss was aggravated in IL-12-/- mice, suggesting that IL-23 may play a dominant role in inflammation-related bone disorders. Mechanistically, IL-12 and IL-23 coupled osteogenesis and osteoclastic activities to regulate bone homeostasis and repair. IL-23 deficiency increased bone formation and inhibited bone resorption. Finally, apilimod treatment significantly improved bone regeneration and calvarial defect repair. Conclusion: These data collectively uncover a previously unrecognized role of IL-23 in skeletal tissue engineering. Thus, IL-23 can act as a biomarker to predict diseases and treatment efficacy, and apilimod can be used as an effective therapeutic drug to combat inflammatory bone disorders
Coparenting across the Deployment Cycle: Observations from Military Families with Young Children

Contemporary service members and their partners have adapted their coparenting to respond to the specific transitions and disruptions associated with wartime deployment cycles and evolving child development. This qualitative study draws upon interviews with service member and home front parents of very young children to characterize their coparenting experiences throughout the deployment cycle. Parents described varied approaches as they considered their children’s developmental capacities, the fluidity of demands throughout deployment, and the service member’s well-being during reintegration. A common theme was the key role of home front parents in facilitating the service member–child relationship through communication and maintaining the presence of the deployed parent in the child’s everyday life. Reintegration challenges included redistribution of coparenting roles, the pacing of the service member into family roles, and concerns related to the returning parent’s distress. Study findings highlight areas of coparenting throughout the deployment cycle that can be supported though prevention and intervention efforts.
Implementing Agenda 2030 in the Arab world: Contextualization, action areas and policy planning

This article is a critical assessment of the implementation frameworks of Agenda 2030 in the Arab region through a study of the deficiencies pertaining to the contextualization of the Agenda in the region. Seeking to identify the scope of implementation that would allow for the eventual streamlining of action towards the achievement of all of the Sustainable Development Goals (SDGs), the authors argue that the regionâ€™s political and institutional context is one of peacebuilding and resilience-building, imposing several overarching considerations pertaining to the priority intervention areas. Drawing on the findings of Ianovichina (2018), the article identifies the key levers of peacebuilding as being the reduction of real inequalities, the resumption of public and social services, and the promotion of equity and the rule of law. It then explores the policy deficiencies underlying the mobilization of these key levers. While domestic resources mobilization remains crippled by political exclusiveness and institutional inefficiency, the implementation of foreign financing frameworks intrinsically depends on that said mobilization. The authors conclude with a â€œroadmapâ€ for improvements in the contextualization of Agenda 2030 by focusing on fiscal and financial reform and on the curbing of illicit financial flows on one hand, and de-escalation and institutional peacebuilding on the other.
Exploring Human-like Learning Capabilities of Neural Machine Translation

Neural networks became the dominant approach to solving many statistical modeling problems, reaching or surpassing human-level performance on several tasks. Even though they were originally inspired by the neural interactions inside the biological brain, their learning process is very different from that of a human. For this reason, there are several aspects of human-like learning that the current state-of-the-art networks cannot capture. This thesis proposal focuses on describing crucial problems of a sequential learning in the neural natural language processing. Furthermore, we look into possible approaches to solving these problems and the results of the research we’ve done so far. Lastly, we provide a proposal for directing our future thesis work.
Dependency Parsing beyond Simple Trees Thesis proposal

Quite a few linguistic theories and annotation frameworks employ a layer that goes deeper than surface syntax, be it a deep-syntactic or semantic layer. This representation is universally considered more powerful for expressing the meaning. At the same time, it is usually much more difﬁcult to obtain; therefore not surprisingly it is available only for a very limited set of languages. In this thesis proposal I outline phenomena which could be considered useful for deeper representation. My proposal is built upon and extends Enhanced Universal Dependencies (UD). I describe my future plans and ideas concerning parsing experiments and extrinsic evaluation.
Supply & Demand Determinants of Home-Price Sensitivity to Capital Market Factors

Finance theory suggests that personal wealth invested in a home should affect other household financial decisions such as portfolio allocations among financial investments. However, little empirical work exists to suggest how homeowners might evaluate their home’s exposure to capital market risk factors in order to incorporate such information into their broader investment decision making. In this paper we investigate how home-price sensitivity to equity market risk factors varies across more than two thousand ZIP Codes in 74 US cities. Our investigation suggests that a homeowner’s exposure to capital market risk factors varies by city-specific supply and demand factors, especially for ZIP Codes with higher priced homes whose residents are most likely stock market participants and corporate executives. Our results are twofold. First, we segment ZIP Codes by the city-specific measure of housing supply constraints and supply elasticity as developed by Saiz (2010). Among above-median priced zip codes we find that home-price sensitivity to equity market risk increases with city-specific supply constraints. Second, recent research in finance documents that equity incentives in managerial compensation vary across US cities due to agglomeration patterns in corporate headquarters decisions and social network effects in executive compensation schemes among same-city firms. We measure the level of equity-based pay incentives for CEOs and other top executives among firms that share headquarters cities. Consistent with a conjecture by Cannon, Miller, and Pandher (2006), among above-median priced ZIP Codes homeprice sensitivity to equity market risk increases in MSA-level incentives for managerial risk-taking. * Preliminary. Please do not cite or circulate without permission. ** Contact author: email: cwanderson@ku.edu
Ultrasonic Defect Inspection and Characterization for Wavy Composites

Multiple types of defects, including delamination, waviness and resin rich layers may be produced during the composite manufacturing process and service life, which will increase the risk of structural failure and introduce the challenge for defect detection and characterisation. In this study, delamination within wavy composites was inspected with improved signal-tonoise ratio (SNR) by using the optimised wave frequency from simulation results. Dependence of defect (i.e., waviness, resin rich layer and delamination) indication in the B-scan on the inspection frequency was simulated from CIVA software. Results from both simulation and experiment demonstrated that B-scan images obtained from longitudinal waves at different frequencies can characterise delamination from waviness and resin-rich layers. Through both numerical simulation and experimental investigation, proper guidance for ultrasonic inspection of aerospace composite structures with complex geometry and layout is proposed in this study.
Some Aspects of Meta-analysis Applied in

Meta-analysis is a statistical method to combine the results of multiple scientific experiments conducted in different environments or seasons or places in order to derive a common conclusion about the suitability of the experimental materials throughout the environmental conditions. The conclusion can be drawn by estimating the parameter from the estimates of the parameter obtained from different experiments. The hypothesis regarding the parameter can be verified on the basis of the result of the individual experiment. The common conclusion can be made by combining the test results observed in different experiments. The analysis has the capacity to contrast the results derived from different experiments and to identify the patterns among experimental results in addition to have an estimate of the population parameter [1]. The technique is an important component of a systematic study of the same phenomenon investigated in different agro-climatic / environmental / socioeconomic / hygienic / political conditions.
Prototyping as a resource to investigate future states of the system

Introduction Even though design as a human action could be defined as one of the oldest natural practices (Muratovski, 2015), we can argue that what really defines it is not the ability to transform the tangible reality, but, as established by Simon (1996), our capacity to envision an improved version of our reality in the future and plan what would be necessary to achieve it. This notion of an achievable preferred future state of the system might be one of the main advances in design theory, because it centers the notion of design around the idea of a not-yet-existing reality that is possible to be produced.
E-Service Quality Model of B2C Online Shopping Platform Based E-Service Quality Model of B2C Online Shopping Platform Based on User’S Perspective on User’S Perspective

In recent year, B2C has gradually become the main driving force of the network shopping market development, many B2C online shopping platform weakens the differences in product and price, which intensify the competition on e-service quality among B2C online shopping platform. Therefore, this paper discusses the composition of electronic service quality model of B2C online shopping platform from the user’s perspective, combining with the analysis of literature and the trading process. And the e-service quality model, which has carried on the empirical test, determined the evaluation index of e-service quality evaluation for B2C e-commerce platform. The results of this study show that e-service quality evaluation model of B2C online shopping platform is composed of seven dimensions and twenty-nine measurement items