Reviewerly/exHarmony huggingface dataset:
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Download options Please wait... Article information DOI https://doi.org/10.1039/D3AY90036C Article type Front/Back Matter First published 16 Mar 2023 Download Citation Anal. Methods, 2023,15, 1391-1394 BibTex EndNote MEDLINE ProCite ReferenceManager RefWorks RIS Permissions Request permissions Contents list Anal. Methods, 2023, 15, 1391 DOI: 10.1039/D3AY90036C To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page. If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given. If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page. Read more about how to correctly acknowledge RSC content. Social activity Tweet Share
Geochemical Evaluation of the Upper Cretaceous to Miocene in the Tekman-Karayazı Basin, South of the Neotethys Suture Zone: Deciphering the Origin of Bituminous Sandstone

Tekman-Karayazı basin (TKB) is one of the Eastern Anatolia basins which is located to the south of the Izmir-Ankara-Erzincan Suture Zone (IAESZ) and characterized by sedimentary units ranging in age from Upper Cretaceous to Pliocene. The basin began to form in Upper Cretaceous (Maastrichtian) within a tectonic depression and over time evolved into a collisional foreland basin starting from the Paleocene and Early Eocene periods.In this study, Upper Cretaceous, Eocene, Oligocene and Miocene marine units were examined for their organic geochemical properties and the results obtained were used to decipher the origin of the bituminous sandstone. This study revealed that except for the Oligocene units, the other sedimentary units are not prolific and was considered poor source rocks. The V/Ni ratios for marine samples of the U. Cretaceous, Eocene and L. Miocene units are below 1.9, indicating an oxic depositional environment; however, a number of values obtained from the Oligocene lacustrine samples have considerably lower ratios ranging between 0.90 and 1.10 and hinting at an anoxic environment. We suggest that poor and fair source rock potential was mainly controlled by the paleo-tectonic evolution of the post-collisional East Anatolian basins/sub-basins. Furthermore, antecedent topography which appears to have simultaneously formed reefs, carbonate ramps and isolated sub-basins along with the global paleo-climatic events are also among the factors which have influenced the chemophysical conditions in the depositional setting. On the other hand, Ağcakoca and Mescitli formations were evaluated by GC and GC-MS analyses to reveal their source rock potentials. According to the geochemical results, Ağcakoca Formation was identified as the main source rock in the basin. The Ağcakoca Formation in the TKB bear some organic-rich layers which may have locally reached enough maturity to expel petroleum and therefore formed the studied bituminous sandstones. The regional volcanic activities that are thought to have been triggered in Miocene by continent-continent collision provided the heat which caused the thermal degradation of Ağcakoca shales.
Full Reference Video Quality Assessment Based on Statistical Based Transform Coefficients

Now a days, need of Application developers towards developing front end-based video applications like Skype or others forced in huge competition between quality of service and experience. Out of all existing approaches, we considered alternative approach based on full reference video quality assessment and moreover, our interest lies towards formulating and melding effective features into one model based on human visualizing characteristics. This research explores the tradeoffs between quality prediction and complexity towards identifying sparseness of LSSVM model and also involves in feature extraction of h.264 bitstream information extracted at macro block layer towards building up of a machine learning based model for quality Assessment. These features which are expected to have high correlation with the perceptual quality of the videos, and we concluded that our proposed model outperformed in terms of performance but fault in encoding process which was traced out due to error concealment should be evaluated and in case of building up of proposed model with SSIM and MS-SSIM metric at frame level sparseness was traced out.
The Real Effects of Financial Information Dissemination on Innovation: Evidence from the EDGAR Implementation

This paper examines the real effects of financial information dissemination on innovation. Broader dissemination of corporate disclosures can reduce the uncertainty associated with the expected value of R&D investments and increase clarity about the profitability of the underlying innovation to follow-on innovators. First, using the staggered adoption of the EDGAR system as a positive shock to information dissemination, I show that dissemination increases follow-on innovation. Next, I investigate the knowledge spillover effects from faster and easier access to technologically similar peers’ corporate disclosures. I find that firms leverage information from peers’ corporate disclosures to improve their own innovative efficiency. These positive externalities are also present at the aggregate industry level. Finally, dissemination causes firms to technologically differentiate their innovation portfolios from their peers’ portfolios, reducing investments in duplicative research. Overall, I document that broader dissemination of corporate disclosures has positive externalities on a firm’s follow-on innovation and aggregate innovative efficiency.
DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus

Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing quality enhancement approaches for compressed images neglect the inherent characteristic of defocus, resulting in inferior performance. This paper finds that in compressed images, significantly defocused regions have better compression quality, and two regions with different defocus values possess diverse texture patterns. These observations motivate our defocus-aware quality enhancement (DAQE) approach. Specifically, we propose a novel dynamic region-based deep learning architecture of the DAQE approach, which considers the regionwise defocus difference of compressed images in two aspects. (1) The DAQE approach employs fewer computational resources to enhance the quality of significantly defocused regions and more resources to enhance the quality of other regions; (2) The DAQE approach learns to separately enhance diverse texture patterns for regions with different defocus values, such that texture-specific enhancement can be achieved. Extensive experiments validate the superiority of our DAQE approach over state-of-the-art approaches in terms of quality enhancement and resource savings.
Unsupervised Learning of Graph Matching With Mixture of Modes Via Discrepancy Minimization

Graph matching (GM) has been a long-standing combinatorial problem due to its NP-hard nature. Recently (deep) learning-based approaches have shown their superiority over the traditional solvers while the methods are almost based on supervised learning which can be expensive or even impractical. We develop a unified unsupervised framework from matching two graphs to multiple graphs, without correspondence ground truth for training. Specifically, a Siamese-style unsupervised learning framework is devised and trained by minimizing the discrepancy of a second-order classic solver and a first-order (differentiable) Sinkhorn net as two branches for matching prediction. The two branches share the same CNN backbone for visual graph matching. Our framework further allows unsupervised learning with graphs from a mixture of modes which is ubiquitous in reality. Specifically, we develop and unify the graduated assignment (GA) strategy for matching two-graph, multi-graph, and graphs from a mixture of modes, whereby two-way constraint and clustering confidence (for mixture case) are modulated by two separate annealing parameters, respectively. Moreover, for partial and outlier matching, an adaptive reweighting technique is developed to suppress the overmatching issue. Experimental results on real-world benchmarks including natural image matching show our unsupervised method performs comparatively and even better against two-graph based supervised approaches.
MEET OUR LEADERSHIP STUDENTS: An Online Exercise to Develop Personas Application Manuscript

Using an exploratory multi-case study approach, we examined student perceptions of leadership through analysis of introductory discussion board forums in online undergraduate and graduate leadership courses to formulate leadership student personas.A review of related literature reveals that leadership's broad application results in a vast array of interests and motivations related to pursuit of a leadership degree.To that end, development of student personas provides leadership program administrators and faculty with a better understanding of their needs and characteristics.In this application paper, we will share qualitative data compiled from four online leadership courses.Our preliminary findings identified data-driven personas that showcase how leadership students with varying backgrounds and aspirations envision knowing our leadership students, as well as recommending future research that can help advance the field of leadership education.
Integrating large numbers of superconducting nanowire single-photon detectors with nanophotonic waveguides

Quantum technologies and optical sensors with ultimate sensitivity require efficient counting of single photons. Superconducting nanowire single-photon detectors have set leading performance benchmarks in this regard but evolving from stand-alone fiber-coupled detectors to highly integrated receivers with large numbers of photonic channels and configurable optical functionalities has remained a challenge. Here we show how large numbers of superconducting nanowire single-photon detectors with high detection efficiency and low timing jitter can be integrated with nanophotonic circuits. The latter allow for combining photon counting capabilities of superconducting nanowires with active and passive optical control functionalities, such as switching, phase shifting and photon number resolution, which we demonstrate for leading photonic integrated circuit platforms. Broadband optical interconnects produced in 3D direct laser writing enable competitive system detection efficiency, which we can reproduce in a receiver unit that integrates 64 individually addressable superconducting nanowire single-photon detectors. We show that the system is well-suited for massively parallelized quantum key distribution, achieving secret key generation rates beyond 10 Mbit/sec in a field test. Integrating large numbers of superconducting nanowire single photon detectors with optical waveguides on configurable nanophotonic chips offers a wide range of applications in quantum communication, information processing and sensing.
Amazon game will help train robots

You can boost well-being and achieve your personal goals by taking control of your self-narrative, finds David Robson
Evaluate Your Credentials to Assess Whether Skills are Useful in the Workplace, Valuable to Students

Women in Higher EducationVolume 32, Issue 3 p. 10-16 Evaluating Credentials and Their Value to Students Evaluate Your Credentials to Assess Whether Skills are Useful in the Workplace, Valuable to Students Halley Sutton, Halley SuttonSearch for more papers by this author Halley Sutton, Halley SuttonSearch for more papers by this author First published: 17 March 2023 https://doi.org/10.1002/whe.21254Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume32, Issue3March 2023Pages 10-16 RelatedInformation
New Physics: Relative Physics

The concept of energy is still an open question. Richard Feynman, Nobel prime in Physics, said in his lectures in the 60 ‘s that, besides recent developments in Physics, we really don’t know what energy is. Other physicists, ‘members of energy in the world have pointed out the same difficulty. In this paper, I demonstrate that energy is a relative equivalence inside itself, I e, there’s a compensatory mechanism inside the global relative thermodynamic systems. In other words, in relative thermodynamics, the global relative thermodynamic systems are energy in itself and in the interconnection inside internal and entropy of the system and entropy of its surroundings. This is the universal entanglement, an interconnected relative closed system. Each relative closed thermodynamic system is in interconnection with all relative thermodynamic systems in universe. We can consider levels of energy: the c2; maximum gravity or black holes and the Big Bang or the new universe. These singularities are in interconnection with each other. DNA of the new universe is inside the black holes and the rearrangement depends on the way of forward of the new universe, the new Big Bang. I introduce the new Physics, Relative Physics. The key of universe is an update on Einstein s theory of relativity, where the reference is moved to the inside of the global relative thermodynamic system, to the inside of energy.
Design and Development of Cloud Based Encrusted Security as a Service

The Cloud computing is the grouping of several variety of computers whichever is related via a intermediate referred to as internet respectively. The Cloud computing usage that net toward propel, obtain and shop these statistics. By way of increasingly extra quit customers, Substructure requests and stage servers pass hooked on this cloud, the cloud offerings have been growing a slice. By this identical period, this require of defense upon safety additionally improved. apiece of this organized utility at this cloud has to have superior security planned pro the situation which will achieve PAIC, that will result in an advanced price. That body of secaas will decrease that price and these with this aid of production this cloud duller and green toward apply. Atop this article we arrived out by some body paintings pro investigating and executing secaas consuming layered method. in which with that, this consumer can choose levels of security conferring toward their software requests. every level has extraordinary algorithms and format in order to triumph over attacks and vulnerabilities, there with the aid of we can obtain PAIC. To advocate exclusive algorithms which are conspicuously utilized inside outdated cloud computing atmosphere. Keyword : Cloud computing, Honesty, IaaS, layered refuge, PaaS, Reviewing, SaaS and secrecy.
On Insecure Uses of BGN for Privacy Preserving Data Aggregation Protocols

The notion of aggregator oblivious (AO) security for privacy preserving data aggregation was formalized with a specific construction of AO-secure blinding technique over a cyclic group by Shi et al. Some of proposals of data aggregation protocols use the blinding technique of Shi et al. for BGN cryptosystem, an additive homomorphic encryption. Previously, there have been some security analysis on some of BGN based data aggregation protocols in the context of integrity or authenticity of data. Even with such security analysis, the BGN cryptosystem has been a popular building block of privacy preserving data aggregation protocol. In this paper, we study the privacy issues in the blinding technique of Shi et al. used for BGN cryptosystem. We show that the blinding techniques for the BGN cryptosystem used in several protocols are not privacy preserving against the recipient, the decryptor. Our analysis is based on the fact that the BGN cryptosystem uses a pairing e : G × G → GT and the existence of the pairing makes the DDH problem on G easy to solve. We also suggest how to prevent such privacy leakage in the blinding technique of Shi et al. used for BGN cryptosystem.
Vision-based Swing Trajectory Estimation using RGBD Camera

Human movement analysis is a significant topic for understanding and improving human activities. In this paper we propose a vision-based swing trajectory detection scheme. The goal of the proposed idea is to trace the trajectory of swung object using an RGBD camera. The coordinates of the tip of grasping object are estimated from hand joints in pose estimation. The feasibility of the proposed scheme was demonstrated via experimental results of cleaning activities using a mop. It will contribute for assessing users' progress by giving further training tips for swing motions.
Percolation Theory, Ecology, Hydrology, and Geochemistry

Three important scientific fields are ecology, hydrology, and geochemistry. In ecology one studies the relationships between living organisms, including humans and their physical environment. The organisms that are considered by ecologists can be at distinct and vastly disparate length scales, ranging from the individuals, population, and community, to ecosystems and biosphere. Dynamically interacting systems of organisms, the communities they make up, and the non-living components in their environment are what constitute an ecosystem in which such processes as primary production, nutrient cycling, and niche construction occur and regulate the flux of energy and matter through an environment.
Simulation of Internet Informationization Enterprise Information Service System in the Era of Artificial Intelligence

With the rapid growth of Internet technology, mobile devices become an indispensable tool in the new era. In this environment of information explosion, large-scale data gathering and high-speed dissemination, artificial intelligence is an important subject that must be possessed and solved urgently for the progress of science and technology in today’ s society. The simulation theory of intelligent entrepreneurship information system is an entrepreneur's entrepreneurship activities using computer network media platform, which provides more help. This paper will discuss the design of the entrepreneurship information service system in the era of artificial intelligence in accordance with the characteristics and needs of entrepreneurship information management in the era of Internet information. This paper first introduces the application of Internet information service, then studies the artificial intelligence algorithm, and according to the algorithm, designs and studies the framework of the entrepreneurship information service system. Finally, the performance of the system is tested. The test results show that the speed, accuracy and processing efficiency of data transmission meet the requirements of the Internet sales platform in the intelligent age.
User's Perception on Security and Privacy in Using Crypto Currency Trading Application in India

Crypto trading has grown at an unprecedented rate since the introduction of crypto trading mobile applications. Wallets, which are mobile applications, are frequently used to facilitate user interaction with cryptocurrencies. Attackers are interested in these wallets because of their perceived real-world value. This article examines the security and privacy profiles of the top six cryptocurrency trading mobile apps in India, focusing on understanding user perceptions of cryptocurrency trading apps and their impact on usability, privacy, and security. Unlike regulated financial services and cryptocurrency applications, wallets are exempt from the same stringent security requirements. The author in this paper can infer that there are just a few mobile-based crypto trading applications from this research of all mobile-based crypto trading applications using different penetration testing techniques. Author check these applications for OWASP-defined common vulnerabilities and discover the connections between various security and privacy concerns as well as how varying threat perceptions affect user security behaviors. The paper also examines how mobile applications may affect user privacy.
Multi Platform Public Opinion Risk Monitoring and Early Warning Algorithm Based on Multimodal Neural Network

The network is ubiquitous in our daily life. It has become an indispensable part of our daily life to use the network to spread and transmit various kinds of information. The use of neural networks for public opinion monitoring has become a current research hotspot. Ian order to improve the performance of the public opinion monitoring platform, we need to use multimodal neural network for in-depth research. This paper mainly uses experimental design and data comparison to make statistical analysis of public opinion monitoring data under different working conditions. The experimental data shows that when the number of concurrent is less than 100, the system in this paper can respond well and obtain more accurate public opinion data.
Information Visualization Design in the Environment of New Media Based on Computer Technology

With the advent of the Internet era, the continuous development of computer technology has made it more convenient for people to obtain information from the Internet. How can we make this massive amount of information simple and intuitive to display and provide to the majority of users on the Internet? To accept and understand, information visualization is an effective way. This paper mainly discusses the design of bidirectional multimedia information processing system based on computer technology. Based on the support of computer technology, this paper combines graphical user interface with multimedia interaction design to realize information visualization. Take the layout of the interface as an example, starting from the perspective of the text of interactive visual requirements and its layout, explore the effect of the multi-line arrangement of multi-text labels in the chart on the visual search performance of the subjects. The experimental results show that, in terms of the more + less arrangement, the right-aligned alignment has the shortest search performance and the highest reading efficiency; the center-aligned alignment has the longest search performance and the lowest reading efficiency. As far as the arrangement of less + more is concerned, the centered alignment has the shortest search performance and the highest reading efficiency; the right-aligned alignment has the longest search performance and the lowest reading efficiency.