Reviewerly/exHarmony huggingface dataset:
In Memoriam: Tribute to Rita K. Gollin (1928–2022)

Other| December 02 2022 In Memoriam: Tribute to Rita K. Gollin (1928–2022) Nathaniel Hawthorne Review (2022) 48 (2): 226–228. https://doi.org/10.5325/nathhawtrevi.48.2.0226 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation In Memoriam: Tribute to Rita K. Gollin (1928–2022). Nathaniel Hawthorne Review 2 December 2022; 48 (2): 226–228. doi: https://doi.org/10.5325/nathhawtrevi.48.2.0226 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All Scholarly Publishing CollectivePenn State University PressNathaniel Hawthorne Review Search Advanced Search The second issue of The Nathaniel Hawthorne News- letter (Fall 1975) published a list of the Hawthorne Society’s founding members. That list included Rita Gollin, a distinguished Hawthorne scholar whose achievements and camaraderie I am happy to celebrate in this brief tribute. I first met Rita in 1986 at the Society’s summer meeting at Bowdoin College. Along with several other established Hawthorne scholars (David Kesterson, Lea Newman, John Idol), she went out of her way to make me feel welcome at my first Hawthorne Society meeting, and I always looked forward to seeing her every other summer, as well as annually at MLA and ALA meetings.Rita earned a PhD in American literature from the University of Minnesota in 1961. Her dissertation, “Dream and Reverie in the Writings of Nathaniel Hawthorne,” provided the foundation for her first book, Nathaniel Hawthorne and the Truth of Dreams (Louisiana State UP, 1979). She... You do not currently have access to this content.
Analisa Penerapan Chse Sebagai Strategi Promosi Industri Mice Di Jiexpo Kemayoran Dan Jakarta Convention Centre

Penelitian ini bertujuan untuk menganalisis penerapan protokol kesehatan CHSE sebagai strategi promosi industri Venue MICE di DKI Jakarta, yang mana venue MICE yang diteliti adalah Jakarta International Expo Kemayoran atau biasa disebut JIEXPO dan Jakarta Convention Centre atau sering disebut JCC. Analisis strategi promosi yang digunakan adalah 5 bauran promosi yang terdiri Advertising, Public Relation, Direct Marketing, Personal Selling, Sales Promotion. Pada penelitian ini menggunakan jenis penelitian kualitatif dengan metode deskriptif dan verifikatif, metode pengumpulan data pada penelitian ini dilakukan dengan menggunakan data primer yaitu wawancara dan data sekunder yaitu studi literatur. Hasil penelitian menunjukan bahwa strategi promosi dalam penerapan protokol kesehatan CHSE di JIEXPO adalah melalui sosial media, website, email dan stand-stand banner. Hampir sama dengan JIEXPO, strategi promosi yang digunakan JCC adalah melalui sosial media, website, dan email, karena sangat efektif pada kondisi seperti ini. Adapun saran yang dapat diberikan untuk JIEXPO adalah untuk memaksimalkan penggunaan sosial media dengan fitur yang dimiliki didalamnya dan mencoba sosial media lain yang tidak hanya menggunakan Instagram.&#x0D; &#x0D; Kata Kunci: Strategi Promosi, Protokol Kesehatan, CHSE, MICE.&#x0D; Abstract&#x0D; &#x0D; This study aims to analyze the implementation of the CHSE health protocol as a promotion strategy for the MICE venue industry in DKI Jakarta, where the MICE venues studied were the Jakarta International Expo Kemayoran or commonly called JIEXPO and the Jakarta Convention Center or often called JCC. Analysis of the promotion strategy used is 5 promotion mix consisting of Advertising, Public Relations, Direct Marketing, Personal Selling, Sales Promotion. This research uses qualitative research with descriptive and verification methods, the data collection method in this study was carried out using primary data, namely interviews and secondary data, namely literature studies. The results showed that the promotion strategy in implementing the CHSE health protocol at JIEXPO was through social media, websites, emails and banner stands. Similar to JIEXPO, the promotional strategy used by JCC is through social media, website, and email, because it is very effective in these conditions. The advice that can be given to JIEXPO is to maximize the use of social media with the features it has and try other social media that does not only use Instagram.&#x0D; &#x0D; Keywords: Promotion Strategy, Health Protocol, CHSE, MICE.
TRACING THE ADVANCEMENTS IN ARTIFICIAL INTELLIGENCE: DRAWING LESSONS FOR TOMORROW

Artificial Intelligence (AI) as a technology with its application and tools has transformed almost every aspect of our lives. AI has witnessed extensive growth in the past decade, due to the enhanced power of computing and the wide range of tools and technologies that have been introduced and developed. Though notwithstanding the current stage, Artificial Intelligence has gone through its fair share of inexplicable fluctuations in the past. This research paper aims to help the researchers and practitioners better understand the growth of AI and the obstacles in its advancements as they build focus on the next development of AI and related technologies. The paper's objective is to provide valuable insights into the evolution of Artificial Intelligence as a technology and take lessons for the future. This research has been conducted based on the literature review of relevant books, articles, papers published on this subject. By understanding the evolution of AI through its ebbs and flows, the researchers can anticipate and be prepared for any vicissitude that could be a stumbling block in the truly remarkable growth of this technology which has made a far-reaching and wide-ranging impact.
Key Stage Notions and Terms in the Theoretical Heritage of F. I. Chaliapin

The aim of the study is to reveal the fundamental principles of the theoretical heritage of the opera actor F. I. Chaliapin. The article discusses the features of the rehearsal process organization in modern Russian theatres, identifies the key stage notions and terms that F. I. Chaliapin was guided by in his work on the opera role. The scientific novelty lies in substantiating the importance of referring to the theoretical heritage of F. I. Chaliapin to improve the process of preparing student vocalists. As a result of the study, it was revealed that the tradition of “coaching a singer for a role” established in modern theatrical practice led to the denial of the principle of collective creativity (co-authorship in staging a performance), in connection with this, the need to take into account the notions of “purely intellectual efforts” in the rehearsal process (i.e. an appeal to the literary source, on the basis of which the libretto was compiled and the music of the opera was written), “composing the role” (conveyance of information embedded in the performance by the singer with the help of vocal and plastic expressiveness in collaboration with the director and conductor), formulated by F I. Chaliapin.
Context-Based and Collaboration-Based Product Recommendation Approaches for a Clothes Online Sale System

E-commerce systems have developed remarkably and provided a considerable profit for commercial companies and groups. Customers also benefit from such systems. However, the rapidly increasing volume and complexity of data lead customers to find that it is a challenge to find suitable products for their interests. Numerous product recommended methods have been researched and developed to support users when they visit E-commerce websites. This study proposes a recommendation system for a Clothes Online Sale system based on analyzing context-based and collaboration-based methods. Each type was divided into memory-based and model-based approaches. The results give the same product, but the cosine distance of the Word2vec + IDF algorithm is the lowest. We have also deployed algorithms including the K-nearest neighbor’s algorithm (KNN), singular value decomposition (SVD), non-negative matrix factorization (NMF), and matrix factorization (MF) for the comparison. The method is evaluated on Amazon women’s clothing, including 50,046 samples and six features. We proposed a content-based memory-based method using Word2vec + IDF and a collaboration-based model-based method using the SVD algorithm with the result of RSME as 1.268 to deploy on the sales system.
Prospecting for Copper with Machine Learning and Zircons

Using artificial intelligence, researchers can now identify zircons derived from valuable copper deposits.
Music Genre Classification Using Federated Learning

Federated learning (FL) is a decentralized privacy-preserving machine learning technique that allows models to be trained using input from multiple clients without requiring each client to send all of their data to a central server. In audio, FL and other privacy-preserving approaches have received comparatively little attention. A federated approach is implemented to preserve the copyright claims in the music industry and for music corporations to ensure discretion while using their sensitive data for training purposes in large-scale collaborative machine learning projects. We use audio from the GTZAN dataset to study the use of FL for the music genre classification task in this paper using convolutional neural networks.
Medical Records Sharing System Based on Blockchain: A Case Study in Vietnam

Tran, An Cong Lam, Long Phi Nguyen, Hai ThanhIn recent years, blockchain-related technologies and applications have gradually emerged. Blockchain technology is essentially a decentralized database maintained by the collective, and it is now widely applied in various fields. At the same time, with the development of medical technology, medical information is becoming increasingly important in monitoring the patient’s medical examination and treatment process. Medical information must be the most private information about a person. However, due to issues such as operation errors within the network or a hacking attack by a malicious person, there have been major leaks of sensitive personal information. Therefore, it is an issue worth studying to ensure patients’ privacy and protect these medical materials. On the other hand, the patient’s Electronic Medical Record (EMR) cannot be searched across the hospital under the current medical system. As a result, repeated examinations can occur when the patient attends the hospital for treatment, resulting in a waste of medical resources. This study has deployed Blockchain to store and share Electronic Medical Records in a transparent and non-repudiation manner. In addition, we evaluated and tested the proposed system with various test cases and examined the performance with various numbers of transactions. Moreover, we have deployed Symmetric and Asymmetric key cryptography to exchange and share patients’ Electronic Medical Records. The proposed system is expected to provide an interesting solution for exchanging medical data between medical facilities, especially for hospital transfers in Vietnam.
A Footstep to Image Deconvolution Technique for the Both Known and Unknown Blur Parameter

Deblurring an image is a difficult task in modern times. It is a poorly posed problem that affects a variety of disciplines, including photography, earth space science, geophysical, medical imaging, and lens. Images become distorted as of impacting several factors, including vibration, hand movement, the launch of a vehicle (satellite), the presence of image noise, unfavorable Image or Environment conditions, and the rapid movement of objects. There is no perfect answer for all of these. Therefore, a technique is required to address the abovementioned issues and provide feasible methods for minimizing image distortion. The very first step in image restoration is the identification of blur. Then, based on the deconvolution technique, several steps are carried out. Mainly two types of classification for image deconvolution: Blind and Non-Blind Deconvolution. If restoration uses non-blind deconvolution, then the first image is degraded by any blur from various available sources, and then a technique is applied to restore an image. On the other hand, if the restoration of an image uses blind deconvolution, then blur types and parameters of blur are estimated and then, based on an appropriate estimation technique, is applied for image restoration. Lastly, analysis and comparison of the resultant output image analysis and comparison are carried out, and performance is measured through Structural Similarity Index and Peak Signal-to-Noise Ratio.
Traffic Analysis Using Deep Learning and DeepSORT Algorithm

With the help of advanced technology available, intelligent traffic has been implemented on roads to improve traffic congestion. Traffic analysis is essential to improve traffic flow in traffic light junctions. Therefore, this project analyzes vehicle speed, type, and count. The Jupyter notebook, Google Colaboratory, and Visual Studio Code are utilized to create live code. For multiple object tracking, Simple Online Real-time Tracking with Deep Association Metric (DeepSORT) algorithm is used with the help of the state-of-the-art object detection model You Only Look Once version 4 (YOLOv4). YOLOv4 is chosen as it is a simpler approach for object detection as compared to the regional proposal method, and it often takes far less processing time. Other than that, TensorFlow acts as an open-source platform for machine learning. It is a useful tool and library to provide workflows with high-level APIs. The average accuracy for each parameter is taken from the tabulated accuracy in different conditions: daytime, nighttime, and rainy weather. As a result, the system is able to detect vehicles with 83.65% average accuracy. There is a slight error in bad weather, nighttime, and traffic congestion for the vehicle count. Therefore, the average accuracy for vehicle count is 65.98%.
Blockchain-Based Process Quality Data Sharing Platform for Aviation Suppliers

Given the challenge of manufacturing data silos and information credibility issues in traditional aviation suppliers’ result-oriented management approach, this paper proposes a blockchain-based aviation supplier manufacturing process quality data-sharing platform. Firstly, the paper introduces the possibility of integrating manufacturing supply chain quality management with blockchain technology. Secondly, the quality and data sharing platform architecture of the production process of new aviation suppliers is presented based on quality state and island kinds of aviation suppliers. Then, a detailed method for the implementation of quality and data security sharing is proposed to support the sharing platform’s real-time and orderly operation. Build critical technologies such as manufacturing quality data block packaging models, data storage security sharing, and supplier assessment models on this foundation. Finally, depending on data collection of supplier product production processes to shared application practices based on a specific aircraft industrial park under the supervision of the platform architecture and technology. The application platform integrates the data supply and request components, providing practical and intelligent sharing solutions for airlines’ product quality data.
Smart Vehicle Status Service Guarantee Framework Integrating Vehicle-Machine Smart Modules

With the recent development of the AI and smart technologies, this paper follows the trend and proposes the smart vehicle status service guarantee framework integrating vehicle-machine smart modules. In order to better serve car owners and realize the connection between the car and the cloud platform, it is essential to provide car owners with personalized push. In addition to the traditional functions of the radio, music video playback, and navigation, the current car functions already have 5G and also Telematics functions. Hence, in this paper, the combinational model is presented. We use the speech and also gesture recognition model to create the interactive scenario. Then, the systematic model is implemented. We tested the speech efficiency and the platform core code to achieve the better understanding of the model.
Reviews

Land Seismic Case Studies for Near-Surface Modeling and Subsurface Imaging, by Öz Yilmaz, 2021.
Application Of The Peer Tutor Method In Assisting The Mathematics Learning Process Of Deaf Students

This study aims to determine the application of the peer tutor method to the mathematics learning process of 5 deaf students in class X SMALB Negeri Slawi. The method used is the descriptive method. The data collection is done by testing, observation, and documentation. Data analysis was carried out by data reduction, presentation, and conclusion, which is the model of Miles and Huberman. Based on the results of data analysis, it can be concluded that peer tutors provide convenience for deaf students with below-average abilities in working on math problems. This is because deaf students get direction and assistance from deaf students who already understand and act as tutors so they can solve math problems. The application of the peer tutor method facilitates the learning process of deaf students. Students communicate with each other to assist, increase learning activity, and solve problems together it can affect the completeness of the learning outcomes of deaf students. In the learning process, peer tutors can be used as an alternatively appropriate and effective learning method, especially for deaf students.
Researches advanced in face recognition

Face recognition has always been a popular research task in the field of computer vision, which aims to identify the people by analyzing the relationship between the local features of the face (nose, mouth, eyes, etc.), and has been widely used in public security, mobile smart devices, transportation and many other fields. Depending on whether there is external occlusion, face recognition task mainly includes unoccluded face recognition and more challenging occluded face recognition. Through a detailed literature survey and analysis, this paper firstly introduces the representative unoccluded face recognition methods from five perspectives: based on geometric features, based on global features, based on local features, based on FaceNet and based on elastic graph matching. The classical methods and principles of occluded face recognition are further introduced, and the above-mentioned representative face recognition algorithms are quantitatively compared and analyzed. Finally, we discuss the remaining problems and future development directions in the field of face recognition.
Towards a vernacular aesthetics of liking for information studies

Purpose Personal museums provide the conceptual catalyst for liking as a research approach and inclusivity around “idiosyncratic” knowledges within information research. An adapted research paper format echoes the approach of personal museums: as a commentary on the limits of institutional shaping for the field. Design/methodology/approach Personal museums are conceptualized as spaces of knowing in-formation, ontological openings that are literally and figuratively entered into, that make a difference to human and material ways of knowing. Karen Barad's agential realism and Sianne Ngai's vernacular aesthetic categories provide the theoretical lenses through which the researcher's 2018 visit to one personal museum is revisited. Findings An ethnographic account of the author's visit to the Communist Consumer Museum (CCM) in Timişoara, Romania shows how its improvisational, friendly and intimate atmosphere exposes it as a space of entanglements in a quantum sense, emphasizing the inseparability of human and material realms and how knowledges are always in-formation. Such entanglements create atmospheres generative of different ways of thinking about information and knowledge. Originality/value Human expressions of liking reveal material agencies as ways of knowing and information beyond the realm of human experience and meaning. A vernacular aesthetics of liking is presented as a way to resist the marginalizing tendencies of knowledges classified as unconventional, idiosyncratic or eccentric. This approach is one way of resisting the assumptions of channel thinking that often shape how information is studied.
Artificial intelligence and hate speech

The International Covenant on Civil and Political Rights—along with many other international treaties—established that the restrictions to freedom of speech have to be legal and necessary to ensure respect of the rights or reputations of others and the protection of national security, public order or public health or morals (Article 19) and also that to advocate “national, racial or religious hatred that constitutes incitement to discrimination, hostility or violence shall be prohibited by law” (Article 20).
Big data real-time processing architecture based on Hadoop

The data generated in the Internet age is increasing exponentially. Sometimes such a huge amount of data cannot be processed in time, and people cannot dig out useful information from it. In order to realize the efficient processing of massive data, this paper develops a big data real-time processing architecture based on the Hadoop platform, uses HBase as the database, and combines the C# programming language and the MapReduce programming mode to design a big data processing system, so that users can view and upload data through mobile devices. The data processing results of the cloud computing center. The performance test of MapReduce and various functional modules of the big data processing architecture is carried out. The test results show that MapReduce has certain advantages in processing big data, and the data processing time of each functional module increases with the increase of data volume.
The Rite of Spring Briefly Revisited: Thoughts on Stravinsky's Stratifications, the Psychology of Meter, and African Polyrhythm

Many of the dance movements of The Rite are stratifications, layered or polyrhythmic structures in which there is a superimposition of melodic fragments and rhythmic patterns that repeat according to varying cycles or spans. Another form of superimposition, stratification is static in its harmonic, registral, and instrumental implications. And so the question is posed: what accounts for the vitality of The Rite, the ability of this music to excite? Dynamic qualities in The Rite include the irregular accents and spans that mark off the repeats of fragments and chords, the displacement of these irregularly spaced repeats in relation to a steady pulse and meter, and the disruptions of the meter that are in turn brought about by displacement. I trace the physical impact of this invention to entrainment, the internalization of meter. The cognitive and biological implications of entrainment are discussed, including the evolutionary ones.
Stravinsky, Les Noces (Svadebka), and the Prohibition against Expressive Timing

In Stravinsky’s Les Noces, folklike fragments are repeated relentlessly and literally (ritualistically). They are not varied or developed, strictly speaking, but are cut up and displaced metrically. Typically, displacement results in a disruption of the meter. Conflicting expectations of metrical parallelism are raised in the mind of the listener, expectations which catch the listener off guard. And if this disruptive effect is indeed to materialize, then the beat must be held firmly and without expressive nuance.