Reviewerly/exHarmony huggingface dataset:
Stochastic Proximal Point Algorithm for Large-scale Nonconvex Optimization: Convergence, Implementation, and Application to Neural Networks

We revisit the stochastic proximal point algorithm (SPPA) for large-scale nonconvex optimization problems. SPPA has been shown to converge faster and more stable than the celebrated stochastic gradient descent (SGD) algorithm, and its many variations, for convex problems. However, the per-iteration update of SPPA is defined abstractly and has long been considered expensive. In this paper, we show that efficient implementation of SPPA can be achieved. If the problem is a nonlinear least squares, each iteration of SPPA can be efficiently implemented by Gauss-Newton; with some linear algebra trick the resulting complexity is in the same order of SGD. For more generic problems, SPPA can still be implemented with L-BFGS or accelerated gradient with high efficiency. Another contribution of this work is the convergence of SPPA to a stationary point in expectation for nonconvex problems. The result is encouraging that it admits more flexible choices of the step sizes under similar assumptions. The proposed algorithm is elaborated for both regression and classification problems using different neural network structures. Real data experiments showcase its effectiveness in terms of convergence and accuracy compared to SGD and its variants.
My EdD journey. OU graduates' stories

This volume captures the experiences of a range of OU EdD graduates, and how their doctorate has shaped their lives professionally and personally.
LECTURER RESEARCH PERFORMANCE: RESEARCH MOTIVATION, RESEARCH CULTURE AND LECTURER SATISFACTION

This study observes research motivation, research culture on lecturer satisfaction and the resulting performance. The sample of this research is the lecturers who are members of the Lecturers Association of the Republic of Indonesia, East Java, totaling 199 people. The results of the study found: Research motivation has no significant effect on research satisfaction, Research motivation has a significant effect on research performance, Research culture has a significant effect on satisfaction, Research culture has a significant effect on performance and research satisfaction has a significant effect on the researching performance of lecturers.
Using distance learning technologies for training future teachers of professional technical courses at the universities of the Republic of Poland and Ukraine

The relevance of the study is determined by the need of Ukrainian society to study and use the positive experience of distance learning in the training of teachers for the vocational education system in the Republic of Poland. Aim: to identify the priorities of the European Union policy in the field of education informatization in the context of the implementation of the program 'Education and Training 2020'; to analyze the peculiarities of the application of distance learning in Polish higher education; to develop recommendations for using its experience to modernize the Ukrainian education system.
"The Effect of Leisure Satisfaction on the Optimism and Self-determination -Focused on the Chinese Workers-"

This study examined the satisfaction of leisure activities of Chinese workers in various dimensions to see if the satisfaction factors increase optimism and further affect job-related self-determination. As the interest in positive psychology has increased recently, organizations are also paying attention to the role of worker’s positive state of mind, such as optimism. According to the results, several dimensions of leisure satisfaction increased optimism, thereby enhancing autonomy and relatedness of self-determination.
Superconducting Qubit Enabled Single Microwave Photon Detection

Author(s): Kreikebaum, John Mark | Advisor(s): Siddiqi, Irfan | Abstract: Superconducting quantum bits (qubits) are a leading candidate towards realizing a processor that is able to outperform existing classical computers at select tasks. One particular qubit architecture, the transmon, boasts long coherence times compared to required gate lengths and flexibility with respect to circuit couplings as these 'artificial atoms' are photolithographically defined. These attributes allow qubits to be leveraged for other tasks as well — such as efficiently detecting itinerant microwave photons. Such a device may prove useful for remote entanglement protocols, quantum optics experiments in the microwave regime, and as a detector for low-mass dark matter.Through a blend of circuit quantum electrodynamics (cQED) and waveguide quantum electrodynamics (wQED) theories, high detector performance was achieved even when the photon arrival time was not known. Utilizing an ensemble (N = 4) of identical transmon absorbers, photon mediated interactions along a common waveguide enable absorbed itinerant photons to be trapped for longer than the inverse of the bandwidth of an individual qubit. This extended trapping time allows for sufficient integration of the dispersively shifted readout resonator to resolve deviations from vacuum with high fidelity.
Using a Modular Approach in the Credit System of Training

At the same time, it is extremely important to provide motivational support for the educational process, which is carried out directly in the process of facilitating the teacher's activities or indirectly through information and instrumental support. An important element of modular training is the control system, which increases its importance in the credit system. It is advisable to increase the emphasis on intermediate control, gradually translating it into self-control. This control system allows you to identify: the presence or absence of difficulties in independent learning of the material and the causes of difficulties; the need for teacher assistance; the preferred form of interaction with the teacher; subjective assessment of the course of training, etc. Feedback provides rapid response to failures in the educational process through the correction of forms and methods of work. Thus, the module method, which allows for the systematic expansion of self-governing functions of students, is one of the most effective methods of teaching in the credit system of education.
Postgraduate student and his dissertation: potential and risks of defense

In this paper, the authors attempted to answer the question about the reasons for the unsatisfactory state of learning outcomes in graduate school. A multidimensional typology of graduate students was carried out (using the example of Dubna State University) using cluster analysis with preliminary factor analysis. The authors identified the key latent factors: interaction with the supervisor, sociocultural potential, organization of work on the thesis, career opportunities underlying the cluster model. Inside the graduate community, there are four internally homogeneous clusters: “depressed”, “resource”, “disappointed”, and “random”. It is shown that the most promising from the point of view of scientific “growth” and the defense of the thesis are graduate students of the second group – “resource”. At the same time, the strongest motivational factors that act as a guarantor of the successful completion of postgraduate studies and defending a thesis are still the established interaction with the supervisor and interest in the research topic - the traditional “values” of any graduate student.
Continuous Transfer Learning

Transfer learning has been successfully applied across many high-impact applications. However, most existing work focuses on the static transfer learning setting, and very little is devoted to modeling the time evolving target domain, such as the online reviews for movies. To bridge this gap, in this paper, we focus on the continuous transfer learning setting with a time evolving target domain. One major challenge associated with continuous transfer learning is the time evolving relatedness of the source domain and the current target domain as the target domain evolves over time. To address this challenge, we first derive a generic generalization error bound on the current target domain with flexible domain discrepancy measures. Furthermore, a novel label-informed C-divergence is proposed to measure the shift of joint data distributions (over input features and output labels) across domains. It could be utilized to instantiate a tighter error upper bound in the continuous transfer learning setting, thus motivating us to develop an adversarial Variational Auto-encoder algorithm named CONTE by minimizing the C-divergence based error upper bound. Extensive experiments on various data sets demonstrate the effectiveness of our CONTE algorithm.
Adequacy and Effectiveness of Student Affairs and Services Programs in Samar State University

The study utilized the descriptive design using surveyquestionnaire in assessing the levels of adequacy and effectivenessin the implementation of Student Affairs and Services Programs inthe main campus of Samar State University, Catbalogan City,Philippines for School Years 2016-2018. The instrument used in thedata collection was the Office of Vice President for Student Affairsand Services (OVPSAS) survey questionnaire employed to students.The data gathering was substantiated with unstructured interviewsamong students and employees, particularly the SAS unit heads andstaff of the university. The SY 2016-2017 results of the studyrevealed that Housing Services was rated adequate by therespondents compared to the rest of the areas of assessment that wererated more than adequate; however, all services and programs showa very effective level of implementation. Meanwhile, in SY 2017-2018 results of the study showed improvement of the differentservices and programs which consistently revealed a higher averagemean values than the ratings of SY 2016-2017, with descriptiveratings of more than adequate and very effective levels ofimplementation. Consequently, both school years have an over-allrating of more than adequate and very effective levels ofimplementation of Samar State University’s Student Affairs andServices Programs; thus, it describes a very satisfactory rating forcustomer’s satisfaction. Areas for improvement are perceived asopportunities for further development and more researches onstudent affairs and services are seen beneficial for the students todayand in the generations to come.
Convergent Adaptive Gradient Methods in Decentralized Optimization

Adaptive gradient methods including Adam, AdaGrad, and their variants have been very successful for training deep learning models, such as neural networks, in the past few years. Meanwhile, given the need for distributed training procedures, distributed optimization algorithms are at the center of attention. With the growth of computing power and the need for using machine learning models on mobile devices, the communication cost of distributed training algorithms needs careful consideration. In that regard, more and more attention is shifted from the traditional parameter server training paradigm to the decentralized one, which usually requires lower communication costs. In this paper, we rigorously incorporate adaptive gradient methods into decentralized training procedures and introduce novel convergent decentralized adaptive gradient methods. Specifically, we propose a general algorithmic framework that can convert existing adaptive gradient methods to their decentralized counterparts. In addition, we thoroughly analyze the convergence behavior of the proposed algorithmic framework and show that if a given adaptive gradient method converges, under some specific conditions, then its decentralized counterpart is also convergent.
Network distributed information assets detection method based on Artificial Intelligence

Abstract Proposes a network distributed information assets detection method based on artificial intelligence. Through mining the characteristics of network distributed information assets, scanning information assets in depth, detecting assets, summarizing the characteristics of information assets, and optimizing the depth scanning mode of network information assets, the research goal of rapid and accurate detection of network distributed information assets is realized. The simulation results show that the proposed network distributed information assets detection method based on artificial intelligence has faster detection speed and higher detection accuracy, so as to meet the requirements of large-scale information detection and solve more complex problems.
Study and Implementation of Security Audit Tools

Since its beginnings in the 1950s, IT has never stopped evolving. Technological advances - exponential increase in computing capacities, miniaturisation of components and reduction of electrical consumption - and in parallel the evolution of software - from the command line to voice assistants via graphic interfaces - have enabled the dissemination to large-scale computers. These technological transformations and this evolution in use have profoundly modiﬁed the economic and social structure of modern societies. Formerly reserved for insiders, computing is now present in many aspects of our everyday life. Today, IT security and the protection of sensitive data, long ignored, have become essential requirements for businesses. Ensuring the security of services and the protection of customer data is essential for the Orange group and its subsidiaries. This is the reason why Orange has several security departments. Among them is the Risque Audit Conformit´e (RAC) one, attached to Direction Technique des R´eseaux et Services (DTRS), which tries to provide an answer to security problems. I did my internship with this team. My main tasks were to study the potential of certain audit tools for possible use by security team members. I then worked on the organisation of security on Windows server machines(2016 ) to help security auditors improve their skills on the subject. Then I worked on the hardening of Linux systems through my developments on various internal tools.
Meningkatkan Kemampuan Speaking Siswa dengan Menggunakan Metode Audiolingual Method pada Siswa SMA Negeri 15 Semarang

Keywords: Audiolingual method, speaking ability, action research, bargaining expression The importance of having English speaking skills as a communication tool is also seen in the classroom's learning process. Based on the curriculum of 2013, students of grade XI need to be provided with some speaking materials in the second semester, such as bargaining expression. Implementing the audiolingual method in teaching speaking to students at SMAN 15 Semarang finds out the audiolingual method's effectiveness to improve students' speaking ability. The instruments of the research were an observation sheet, questionnaire, and a speaking test. Paired Sample T-Test was used to obtain the quantitative data for comparing the score result of pretest and posttest. The result of this research was the audiolingual method influenced the students' speaking improvement. It was proved by the students' speaking ability in the first cycle to three cycles improved highly. The mean score of the pretest was 55.7. It had increased to 64.7 in the process I grew to 66.8 in cycle II and increased to 81.2 in cycle III. The questionnaire's result was 84.8% that students agree the audiolingual method can improve their speaking ability. It could be said that their perceptions of the audiolingual approach were high. In conclusion, there was some effectiveness of the audiolingual method. First, using this method could attract students' attention and motivation in the teaching and learning process. Second, students could better understand using English in real situations since they got appropriate speaking English models. Third, they also had adequate opportunities to practice speaking to train their speaking fluently and confidently.
Data Security using Integrated GCN2 Encryption Algorithm

The expansion of Internet and its importance in Information Technology, Data security plays a crucial role for almost all large-scale business applications, many organizations and in research scientific development environments. To enhance reliable security and to achieve efficient protection and privacy of the information against unauthorized users, we have advanced technologies and techniques such as IDPS and analysis tools like GA & ANN etc. And these tools have become more prominent in the Network valuable data assets. In this journey, the key roles places on in reducing the complexity of finding the key and increasing the efficiency of optimization of the process. The proposed algorithm “Integrated Genetic and Chaotic Neural Network” is primarily based on the GA optimization techniques to enhance a substantial progress during the encryption and decryption velocity as well as anti-deciphering capability of the Key. Here the paper, we mainly talk about the GCN2 encryption Algorithm, security improvement and increase the encryption speed.
An Improved Pupil Detection Method under Eyeglass Occlusions

There are various challenges of detecting pupil during eye tracking, such as changing illumination conditions, occlusion of eyelashes or eyelids, obstruction of prescription glasses, poorly recorded images, highly off-axial positions, and so forth. Prior state-of-the-art method namely ExCuSe undertakes these problems based on analysis of histogram intensity. However, ExCuSe fails to analyze some pupil images with poor illumination and light reflection occlusion caused by prescription glasses. To overcome this problem, this research proposes an improvement in ExCuSe by incorporating two image filtering techniques in the preprocessing step. The median filter is utilized to diminish noise while the guided filter is implemented to preserve edges in the image. We evaluated the improved and the state-of-the-art algorithm on over 16,000 hand-labeled images in three data sets that contain eyeglass occlusions. The experimental result of data set III shows that the proposed method significantly outperformed the state-of-the-art algorithm with a 22.53% higher detection rate (p<0.05). Although implementation on the other two data sets did not achieve a statistically significant result, the overall performance of the proposed method was still better than the state-of-the-art algorithm. Our study indicates that the proposed method is more sophisticated to handle poor illumination and light reflection occlusion compared with the prior state-of-the-art technique. In future, the proposed pupil detection method can be implemented in an eye tracker for interactive systems as well as for passive monitoring system.
Pengembangan Media Pembelajaran Berbasis Aplikasi Android Menggunakan Power Point Ispring Suite 9 dengan Model POE2WE pada Materi Teori Kinetik Gas: Literature Review

The purpose of this paper was to describe the analysis of teaching materials based on an android application using PowerPoint ispring suite 9 with the POE2WE model on the kinetic theory of gas as an innovation for educators or prospective educators in implementing online learning and increasing students' learning motivation. It is based on the background in the digital era or the current information era, the majority of students always spend their time with their Android cellphones (HP). Android phones that have the potential as learning media are actually used for things that are of less quality. For this reason, there needs to be innovation in learning by developing teaching materials based on Android applications with the help of the PowerPoint ispring suite 9 software.The POE2WE Model-based android application on the kinetic theory material of gas becomes more interesting and more real and maximizes the use of android among students so that it motivates students and improve their understanding of the concept. The method used in this paper was literature study by reviewing some literature for analysis and conclusions. The results of this study indicate that the analysis of the development of teaching materials based on Android applications using PowerPoint ispring suite 9 with the POE2WE model on the kinetic theory of gas as a learning innovation can be a solution to problems encountered in the teaching and learning process.
Guide to improving live fish transportation with special attention to the COVID-19 pandemic in Bangladesh and other tropical developing countries

This work presents guidelines for harvesting, conditioning, aeration and water quality parameters involved in live fish transportation. It aims to improve human safety during the COVID-19 pandemic in relation to harvesting and transporting live fish. Other objectives include providing safer methods for handling and transportation, improving animal welfare, reducing road safety hazards and detailing methods to reduce the cost of live fish transportation. However, some farmers and traders use inappropriate transportation practices, which have led to health hazards during the pandemic. In addition, poor transportation techniques have resulted in high fish mortalities during shipping. Among those that do survive and make it to the market, many arrive in poor quality because of injuries sustained on the trip. These hazardous techniques also have dangerous impacts on road safety.
Investigar y seguir haciendo escuela presente en contextos de pobreza urbana en tiempos de Covid

In this article I propose to recover reflections arising from online meetings with professors, researchers, informal talks with 15 fellow teachers of different levels and modalities and, from my own experience as a teacher, researcher and tutor of the adult modality in the Buenos Aires Conurban, at the Municipality of Gral. San Martin (Buenos Aires- Argentina). Thinking about the teaching task, its invisibility and disappointment in times of COVID in contexts of extreme poverty, implies thinking of a present school, an all-terrain institution, which becomes effective because there are teachers who put their bodies on it and support it. Teachers juggling homework and corrections, their family routines, raising their own children, delivering merchandise and the lack of it, emergency calls outside school hours, requests for helping in adding something to their students' pots, and graduates, constant communications with women who maintain dining rooms and picnic areas in the neighborhoods close to the schools to refer a family that needs to receive a food ration, or having  contact with students who do not respond to their messages, etc. In this context, I consider that it is essential to reflect  the irruption of desire inside schools,  and the room we make for it . A Reflection that allows us to create (by ourselves) spaces, break times, to rethink our work. In even more uncertain times, the question of who we are  and who we want to be, gives us back the breath of fresh air that the urgency takes away from us, becoming in that separate point, a parenthesis where we can take refuge.
A relation between log-likelihood and cross-validation log-scores.

It is shown that the log-likelihood of a hypothesis or model given some data is equal to an average of all leave-one-out cross-validation log-scores that can be calculated from all subsets of the data. This relation can be generalized to any k-fold cross-validation log-scores.