Reviewerly/exHarmony huggingface dataset:
Carbon-Aware Computing for Datacenters

The amount of CO <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$_{2}$</tex-math></inline-formula> emitted per kilowatt-hour on an electricity grid varies by time of day and substantially varies by location due to the types of generation. Networked collections of warehouse scale computers, sometimes called Hyperscale Computing, emit more carbon than needed if operated without regard to these variations in carbon intensity. This paper introduces Google’s system for global Carbon-Intelligent Compute Management, which actively minimizes electricity-based carbon footprint and power infrastructure costs by delaying temporally flexible workloads. The core component of the system is a suite of analytical pipelines used to gather the next day’s carbon intensity forecasts, train day-ahead demand prediction models, and use risk-aware optimization to generate the next day’s carbon-aware Virtual Capacity Curves (VCCs) for all datacenter clusters across Google’s fleet. VCCs impose hourly limits on resources available to temporally flexible workloads while preserving overall daily capacity, enabling all such workloads to complete within a day with high probability. Data from Google’s in-production operation shows that VCCs effectively limit hourly capacity when the grid’s energy supply mix is carbon intensive and delay the execution of temporally flexible workloads to “greener” times.
Structure-Aware Motion Deblurring Using Multi-Adversarial Optimized CycleGAN

Recently, Convolutional Neural Networks (CNNs) have achieved great improvements in blind image motion deblurring. However, most existing image deblurring methods require a large amount of paired training data and fail to maintain satisfactory structural information, which greatly limits their application scope. In this paper, we present an unsupervised image deblurring method based on a multi-adversarial optimized cycle-consistent generative adversarial network (CycleGAN). Although original CycleGAN can handle unpaired training data well, the generated high-resolution images are probable to lose content and structure information. To solve this problem, we utilize a multi-adversarial mechanism based on CycleGAN for blind motion deblurring to generate high-resolution images iteratively. In this multi-adversarial manner, the hidden layers of the generator are gradually supervised, and the implicit refinement is carried out to generate high-resolution images continuously. Meanwhile, we also introduce the structure-aware mechanism to enhance the structure and detail retention ability of the multi-adversarial network for deblurring by taking the edge map as guidance information and adding multi-scale edge constraint functions. Our approach not only avoids the strict need for paired training data and the errors caused by blur kernel estimation, but also maintains the structural information better with multi-adversarial learning and structure-aware mechanism. Comprehensive experiments on several benchmarks have shown that our approach prevails the state-of-the-art methods for blind image motion deblurring.
Federated matrix factorization for privacy-preserving recommender systems

Recommender systems recommend contents or services via collecting and analyzing numerous user data, which may raise serious privacy concerns when the recommender is untrusted. Inspired by federated learning, a user-level distributed matrix factorization framework has been proposed where the model can be learned via collecting gradient information from users (instead of the raw data). This approach focuses on protecting model-privacy and value-privacy from untrusted recommender but has limited consideration on existence-privacy. To address this issue, we enhance the aforementioned framework with Homomorphic Encryption and randomized response. Extensive experiments demonstrate that our method can provide more secure protection for users’ privacy with less performance degradation and smaller computational burden.
A 6D Fractional-Order Memristive Hopfield Neural Network and its Application in Image Encryption

This paper proposes a new memristor model and uses pinched hysteresis loops (PHL) to prove the memristor characteristics of the model. Then, a new 6D fractional-order memristive Hopfield neural network (6D-FMHNN) is presented by using this memristor to simulate the induced current, and the bifurcation characteristics and coexistence attractor characteristics of fractional memristor Hopfield neural network is studied. Because this 6D-FMHNN has chaotic characteristics, we also use this 6D-FMHNN to generate a random number and apply it to the field of image encryption. We make a series of analysis on the randomness of random numbers and the security of image encryption, and prove that the encryption algorithm using this 6D-FMHNN is safe and sensitive to the key.
Video Polyp Segmentation: A Deep Learning Perspective

Abstract We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Over the years, developments in VPS are not moving forward with ease due to the lack of a large-scale dataset with fine-grained segmentation annotations. To address this issue, we first introduce a high-quality frame-by-frame annotated VPS dataset, named SUN-SEG, which contains 158 690 colonoscopy video frames from the well-known SUN-database. We provide additional annotation covering diverse types, i.e., attribute, object mask, boundary, scribble, and polygon. Second, we design a simple but efficient baseline, named PNS+, which consists of a global encoder, a local encoder, and normalized self-attention (NS) blocks. The global and local encoders receive an anchor frame and multiple successive frames to extract long-term and short-term spatial-temporal representations, which are then progressively refined by two NS blocks. Extensive experiments show that PNS+ achieves the best performance and real-time inference speed (170 fps), making it a promising solution for the VPS task. Third, we extensively evaluate 13 representative polyp/object segmentation models on our SUN-SEG dataset and provide attribute-based comparisons. Finally, we discuss several open issues and suggest possible research directions for the VPS community. Our project and dataset are publicly available at https://github.com/GewelsJI/VPS .
High-efficiency medical image encryption method based on 2D Logistic-Gaussian hyperchaotic map

This paper designs a new medical image encryption scheme based on a new hyperchaotic map, which exhibits excellent security and high efficiency that can be applied to medical images of distinctive presentation formats. Firstly a two-dimensional Logistic-Gaussian hyperchaotic map (2D-LGHM) with a wide range of hyperchaos is constructed, and performance test metrics reveal that it has better ergodicity and unpredictability. Based on 2D-LGHM, a new medical image encryption scheme with permutation and multi-directional pixels substitution processes are established. The chaotic sequence is efficiently used to break the correlation between adjacent pixels and change the global pixel value absolutely. By means of the test of diverse medical images, the results display that the scheme has high robustness and effectiveness that can defense against different security attacks and data loss.
CSI Portsmouth 2012 now on DVD crime fiction meets crime fact

A DVD of CSI Portsmouth 2012 has been released and is on sale featuring bestselling crime authors and crime experts from Hampshire Police
Crime author Pauline Rowson talks about CSI Portsmouth

Crime writer Pauline Rowson author of DI Andy Horton series talks to Tony Smith about CSI Portsmouth bringing crime fiction and crime fact together
Named Entity Recognition using Conditional Random Field for Kannada Language

Named Entity Recognition (NER) is a significant errand in Natural Language Processing (NLP) applications like Information Extraction, Question Answering and so on. In this paper, factual way to deal with perceive Kannada named substances like individual name, area name, association name, number, estimation and time is proposed. We have achieved higher accuracy in CRF approach than the in HMM approach. The accuracy of classification is more accurate in CRF approach due to flexibility of adding more features unlike joint probability alone as in HMM. In HMM it is not practical to represent multiple overlapping features and long term dependencies. CRF ++ Tool Kit is used for experimentation. The consequences of acknowledgment are empowering and the approach has the exactness around 86%.
A Heuristic Approach to Selecting Delivery Mechanisms for Electronic Resources in Academic Libraries

This paper provides guidance to academic librarians for making cost effective and appropriate purchase and networking decisions for electronic bibliographic database products. Products on the market have proliferated in type, coverage, implementation method, pricing, and vendor commitment. Analyzing elements of an institution’s needs for information and the best way to offer it is extremely complex and involves many interrelated variables. The authors propose applying the results of this examination of the institutional environment to a few “rules of thumb” as a reliable guide to decision making. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678, E-mail address: getinfo@hawortlipressinc.com]
Evaluation of SQL Injection Vulnerability Detection Tools

SQL injection vulnerabilities have been predominant on database-driven web applications since almost one decade. Exploiting such vulnerabilities enables attackers to gain unauthorized access to the back-end databases by altering the original SQL statements through manipulating user input. Testing web applications for identifying SQL injection vulnerabilities before deployment is essential to get rid of them. However, checking such vulnerabilities by hand is very tedious, difficult, and time-consuming. Web vulnerability static analysis tools are software tools for automatically identifying the root cause of SQL injection vulnerabilities in web applications source code. In this paper, we test and evaluate three free/open source static analysis tools using eight web applications with numerous known vulnerabilities, primarily for false negative rates. The evaluation results were compared and analysed, and they indicate a need to improve the tools.
The return of the reader: contemporary philosophy of literature as a philosophy of reading

The modern philosophy of literature in terms of reading practices, changing the modern way of reading to new types of reading is analyzed, as well as the interpenetration in the present of different types of reading. It has been found that various researchers have been engaged in reading practices and, accordingly, philosophy of reading. A separate direction in the study of reading as a certain way of open dialogue was created by M. Rubakin. This area was called «bibliopsychology», thus reading is considered as a way of anthropological interaction of man and text. The most diverse ideas common to the subject of our research are contained in the writings of Umberto Eco. Four models of modern reading have been identified and characterized. Reading in the first model becomes the best means of selecting and processing information, and the ultimate goal and motive of such reading is the awareness, literacy and ability of the social lift through reading. The second model involves following certain ready-made patterns, it generates and retransmits social myths. This model involves merging text with the reader through myth. In contrast to reading as an exchange of information in reading as a kind of fairy tale there are two components – trust in information and its recipe-effect character. Trust in this model produces a reflection effect. In such a model, the reader wants to find himself, and not others, his way when the essence of a living person is hidden behind the cover of any real book. In the third reading model, the reader joins another’s story or constructs the story independently. The Middle Ages were built on a model of reading aloud, making a dramatic effect on reading. Modern times, through print, novel, newspaper, general employment and time-saving, lose this dramatic element and gradually lose their narrative. Literature and texts become a means of thinking, not an experience. The type of aesthetic reading highlighted by Umberto Eco is analyzed separately. The third type of reading is designed for reading as a means of self-improvement. The fourth type of modern reading involves dialogue with many interlocutors. Reading this type preserves a component of pleasure and empathy, through these two factors, and is actually read as a meeting with a text-friend. It proves that this type of reading involves the basic mechanisms of imagination, fantasy and memory. The fourth type of reading involves the development of both logical and emotional intelligence, the ability to engage the imagination in a constructive activity. Reading is an example of successful communication that touches the deepest levels of the human being.
Supplemental Material for Word Class and Spelling in English

To apply for one or more badges acknowledging open practices, please check the box(es) corresponding to the desired badge(s) below and provide the information requested in the relevant sections.To qualify for a badge, you must provide a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
Reviewer Acknowledgements

International Journal of Social Science Studies (IJSSS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether IJSSS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 9, Number 3Abdul Azim Akhtar, Independent Academic &amp; Researcher, Delhi, IndiaAmany Albert, Beni-Suef University, EgyptAnastasia Panagakos, Cosumnes River College, USAAntónio Calha, Polytechnic Institute of Portalegre, PortugalAurora Pestaño, University of San Jose Recoletos (USJR), PhilippinesAyşegül Sili Kalem, Necmettin Erbakan Universitesi, TurkeyBo Li, St Ambrose University, USADaniel Tia, University of Félix Houphouët-Boigny Abidjan, GRATHEL , Cote d’Ivoire (Ivory Coast)E.Ozan Aksoz, Anadolu University, TurkeyFahri ÖZSUNGUR, Adana Science and Technology University, TurkeyGülsüm Depeli, Hacettepe University, TurkeyHao Liu, Beijing Normal University, ChinaHenry Poduthas, West Texas A&amp;M University, USAIoannis Makris, High School of Pedagogical and Technical Education, GreeceIvan Lenard, Elementary school Ladimirevci, CroatiaJibrin Ubale Yahaya, National Open University of Nigeria NOUN, NigeriaLaura Diaconu Maxim, "Alexandru Ioan Cuza University" of Iasi, RomaniaMałgorzata Haładewicz, Opole University of Technology, PolandMd. Nasir Uddin, Prime Minister’s Office, BangladeshMei-Ling Lin, National Open University, TaiwanMichael Brooks, North Carolina A&amp;T State University, USAMohamed Mehdi Jelassi, IHEC Carthage, TunisiaNadarajah Pushparajah, University of Jaffna, Sri LankaPeriyasami Anbarasan, Indian Institute of technology Delhi, IndiaRachita Shrivastava Roy, Department of Higher Education,Chhatisgarh-India, IndiaRima Meilita Sari, STKIP Al-Washliyah, IndonesiaUğur DEMİRCİ, Turkish National Police, Turkey James YoungEditorial AssistantOn behalf of,The Editorial Board of International Journal of Social Science StudiesRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://ijsss.redfame.com
The structure of a slide presentation

This chapter discusses the structure of a slide presentation--how to tell a logical story with a beginning, middle, and end that will cause audiences to pay attention throughout.
Characterisation of streams

The other thing which to some extent has been overlooked is that the paper is not just about the appropriateness of metabolism models.Streams are sometimes referred to by their geology (in the UK at least).It might be presumed that because one stream is similar to another in terms of geology and groundwater regime, then they would be similar in terms of ecological functioning.But in this case, in terms of oxygen dynamics, one Chalk stream has behaviour similar to a Greensand stream, rather than to another Chalk stream.For me, this was unexpected.
Relationship of problems and personal risk with customer service in use of digital wallet: a path analysis model

The present study is put out to identify the relationship of problems and personal risk with customer service in use of digital wallet. A path analysis model using Amos graphics has been used. Independent variable is solution or customer service. Dependent variables are problems faced in mobile wallets, and personal risk in using digital wallets. Measurement model for CFA is applied for quantitative analysis. The analysis meaningfully relates to objectives and hypotheses of the study. Findings depict that there is negative relationship in customer service and problems faced by users. A negative relationship has been observed in customer service and personal risk using digital wallets.
University Educational Environment Resource

The concept of "educational environment" is complex, multidimensional and in many ways subjective. Systemic consideration of the educational environment phenomenon takes one of the leading positions in the theory and methodology of higher professional education. In an optimally organized environment, each student can make his/her own choice and build an individual path for his/her professional development. This is the only case when one may speak about potential of the university educational environment as a resource for forming inclusive readiness of future teacher. In scientific literature, the definition is examined from various points. First, as a natural or artificially created educational environment of a university, which includes different types, means and contents of education providing for effective activities of its subjects; second, as a set of material requirements in accordance with the pedagogical, ergonomic, sanitary and hygienic requirements for the educational process.The multifactor nature of the educational environment of the university becomes a tool for achieving a socially desirable result by a student.
Epilogue

The epilogue is a personal tribute to Dale April Koike, who is an American scholar and leader in the fields of interlanguage pragmatics, discourse analysis, pragmatics in interaction, and pragmatic variation in Spanish and Portuguese. The epilogue, written by J. César Félix-Brasdefer, situates Koike’s career trajectory and scholarly contributions, highlights her influential position as an advisor and teacher, and shares the author’s experiences with Koike as a mentor, collaborator, and friend.
On the Implementation of Lattice-Based Identification Schemes

Identification is one of the important concerns of information security, that is widely used in our daily e-systems to approve authorised users. With the advent of quantum computers, development of quantum secure identification schemes is essential. In this paper, we give the implementation details of quantum secure Kawachi’s and Cayrel’s identification schemes performed in JavaScript. The hardness of these schemes is based on lattice-based problem SIS in post-quantum cryptography, which requires matrix-vector product operations for its execution. It’s important that for efficient implementation choosing an algorithm with low complexity needs more careful. Therefore, in identification schemes chosen for this study, we use algorithms specific to those schemes’ parameter properties. Then, we carry out matrix by sparse vector and sparse matrix by vector product operations.We provide experimental results of both standard and property-specific algorithms’ execution with their comparison. According to the experimental results, we receive improvements in the specific implementations.
Design of Waste Management Service System in Indonesia Based on Service Oriented Architecture (SOA): Go-Waste

One of the problems experienced by big cities in Indonesia is rubbish. At present the community must pay for the cost of rubbish, whereas rubbish can be useful and profitable if managed properly. One way to manage waste properly is to save waste at the Trash Bank. At present there are already several garbage banks established, but the garbage banks that have been run are not yet optimal, not all people use these facilities. Lack of knowledge and infrastructure facilities hamper the waste management process at the garbage bank. Therefore, the authors propose the concept of an integrated system based on service oriented architecture (SOA) to integrate garbage pickup services, banks, garbage banks, cooperatives, gas, electricity, cable tv, public relations, e-commerce and health insurance as a means of supporting infrastructure to support waste management. The method in this study uses Systematic Literature Review (SLR). The results of this study are in the form of a waste management application design: Go-Waste which integrates waste pick-up service, banks, garbage banks, cooperatives, gas, electricity, cable tv, public relations, e-commerce and health insurance in one platform using a service oriented architecture (SOA).
Design of Dynamic Digest through Polynomial Product for Improved Avalanche Effect on Keyless Hash Function

The integrity violation of remote data draws more significance after the advent of cloud solutions. The conventional digest functions like MD4, MD5, SHA-160, SHA-2 family, and SHA-3 family provide a more elegant solution for the aforesaid problem. But the breaking of MD4, MD5, and SHA-160 algorithms and the partisal breaking of the families of SHA-2 and SHA-3 raises concerns about their use on cryptographic applications. In addition, they do not provide the facility to decide the hash output length dynamically at runtime. This work attempts to address the aforesaid problems through polynomial products. The proposed design uses a higher-order two-variables polynomial function to establish the hash output. The application of polynomial function at the block-level helps the proposed design to produce variable length hash output. The experimental analysis of avalanche response, the effect of an avalanche on the hash output nibbles, and the analysis of confusion and diffusion prove the proposed design performs exceedingly well than the conventional algorithms. Therefore, the proposed design could be considered as a more suitable alternative for the conventional keyless digest function in the perspective of security.