Reviewerly/exHarmony huggingface dataset:
Bounds on the QAC^0 Complexity of Approximating Parity.

QAC circuits are quantum circuits with one-qubit gates and Toffoli gates of arbitrary arity. QAC$^0$ circuits are QAC circuits of constant depth, and are quantum analogues of AC$^0$ circuits. We prove the following: $\bullet$ For all $d \ge 7$ and $\varepsilon>0$ there is a depth-$d$ QAC circuit of size $\exp(\mathrm{poly}(n^{1/d}) \log(n/\varepsilon))$ that approximates the $n$-qubit parity function to within error $\varepsilon$ on worst-case quantum inputs. Previously it was unknown whether QAC circuits of sublogarithmic depth could approximate parity regardless of size. $\bullet$ We introduce a class of QAC circuits, including a major component of our circuit from the above upper bound, and prove a tight lower bound on the size of low-depth, mostly classical QAC circuits that approximate this component. $\bullet$ Arbitrary depth-$d$ QAC circuits require at least $\Omega(n/d)$ multi-qubit gates to achieve a $1/2 + \exp(-o(n/d))$ approximation of parity. When $d = \Theta(\log n)$ this nearly matches an easy $O(n)$ size upper bound for computing parity exactly. $\bullet$ QAC circuits with at most two layers of multi-qubit gates cannot achieve a $1/2 + \exp(-o(n))$ approximation of parity, even non-cleanly. Previously it was known only that such circuits could not cleanly compute parity exactly for sufficiently large $n$. The proofs use a new normal form for quantum circuits which may be of independent interest, and are based on reductions to the problem of constructing certain generalizations of the cat state which we name nekomata after an analogous cat yōkai.
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG

Understanding relationships between feature variables is one important way humans use to make decisions. However, state-of-the-art deep learning studies either focus on task-agnostic statistical dependency learning or do not model explicit feature dependencies during prediction. We propose a deep neural network framework, dGAP, to learn neural dependency Graph and optimize structure-Aware target Prediction simultaneously. dGAP trains towards a structure self-supervision loss and a target prediction loss jointly. Our method leads to an interpretable model that can disentangle sparse feature relationships, informing the user how relevant dependencies impact the target task. We empirically evaluate dGAP on multiple simulated and real datasets. dGAP is not only more accurate, but can also recover correct dependency structure.
Photonic machine intelligence

With an ongoing trend in computing hardware toward increased heterogeneity, domain-specific coprocessors are emerging as alternatives to centralized paradigms. Here I will introduce and discuss key concepts on PIC-based photonic paradigms for machine intelligence. These include parallelization strategies, real-time computing (~ps), non-iterative one-shot execution O(1) run-time complexities, synergistic convolutions, photonic nonvolatile (multistate) memory. These device, circuit, and system design paradigms allow realizing PIC-based special-purpose processors in this ongoing trend towards increased heterogeneity. As an example, I will share a photonic tensor core processor and a massively-parallel convolutional neural network processor.
Intelligent Collaboration Technology of Software Developers Based on Data Driven

Software development highly depends on the group contribution of developers, so improving the cooperation efficiency of developers is an important issue to improve the efficiency and quality of software development. In recent years, it has become a hot topic in the field of software engineering to improve the intelligent level of software development by mining and using the knowledge contained in software big data. However, the research on software developers and their group collaboration methods has not yet formed systematic research results. Therefore, this paper takes the developer group as the research object, through in-depth analysis of the behavior history data of developers, studies the key technologies of intelligent cooperation, and develops the corresponding support environment based on this. This paper first analyzes and summarizes the related research work. Then, the capability feature model and collaboration relationship model of software developers are given, and the knowledge map of developers is constructed. Furthermore, based on the knowledge map of developers, the collaborative development method based on intelligent recommendation is introduced by taking two developer recommendation methods as examples. Based on the above key technologies, the corresponding supporting tools are developed, and the prototype system of intelligent collaborative development environment is constructed.
Classification Using Decision Trees

This chapter presents the most widespread ensemble method, the decision tree. A decision tree classifier estimates a categorical dependent variable or a continuous dependent. It solves binary and multiclass classification problems. We base the model on a tree-like structure. It breaks down the data into small, manageable chunks while incrementally developing a decision tree. The outcome is a tree-like structure with decision nodes and leaf nodes. We consider it a greedy model since its primary concern is to reduce the training time while maximizing information gain.
Kajian Struktural, Sosial, Budaya, Agama, Dan Nilai Pendidikan Dalam Novel Harimau! Harimau! Karya Mochtar Lubis

This study aims to describe: 1) the structure of the Tiger novel! Tiger! 2) The social background of the Tiger novel! Tiger! 3) Cultural background of the Tiger novel! Tiger! 4) Religious background, and 5) Educational value in the Tiger novel! Tiger!. This study uses a qualitative descriptive method with a sociological approach to literature. Sources of research data consisted of objective data sources in the form of text data, genetic data sources in the form of author biographies and informants by conducting interviews with observers and literature lovers. Based on the results of the analysis of this study it can be concluded as follows: 1) The structure of the novel "Tiger! Tiger!" Mochtar Lubis's work with Themes, no matter how small the crime that is stored, will be exposed as well. Mandate: Life is most important believe in God and yourself. Language style uses personification. The plot / plot of this novel uses a plot / plot forward and backward. Characterization / Characteristics of good and evil doers. The setting / setting was built in the middle of a wilderness. 2) Social background is Belief in customs, superstitious ties, marriage, about leadership, religious life, and social harmony 3) Cultural background is a matter of marriage that is not based on genuine love and affection 4) Religious background is upholding religious value to repent before dying 5) Educational value of the Tiger novel! Tiger! Is the value of strong friendship and high tolerance.Abstract is written in English in maximum of 200 words in italics with Times New Roman 11 point. Abstract should be clear, descriptive, and should provide a brief overview of the problem studied, the method how to solve the problem and the result(s). Abstract preferably end with a comment about the importance of the results or conclusions briefly
INTERACTION OF TEACHERS OF LANGUAGE SPECIALTIES IN THE ORGANIZATION OF THE EDUCATIONAL PROCESS

The article examines the methodology of the research presented on the basis of theoretical analysis of modern scientific literature on the subject, generalization of psychological and pedagogical research in the field of training future language specialists in the organization of the educational process. And also in this scientific work the level of methodological and theoretical bases of optimization of training in conditional realization of 12 - year obrozovaniye in R. K. is considered. In this connection, there was a need to improve the training of a competent teacher at the university, corresponding to the requirements of the time. The need to improve the level of scientific organization of professional activity of teachers is particularly emphasized. The paper highlights issues related to the organization of professional activities of personnel. It also provides for science-based planning of organizational scientific and methodological training of teachers. Shows naibolei the full use or scientific achievements of pedagogy, psiology and special sciences in the educational process. This allows you to clearly distribute the functions and coordination of efforts, create the necessary conditions, choose the optimal option of activity, stimulation, regulation, control and accounting. The relevance of research is due to the need for a scientifically based approach to solving these problems. The purpose of retraining and advanced training of teachers is indicated.
Pelatihan “Typing Master” Pada Siswa Smk BNM Plus Pariaman

The development of information and communication runs rapidly in the current modern era. So many technological discoveries in the field. Of course the impact is now making it easier for all the needs and desires of humans and will continue to grow every second. Formerly humans used typewriters to make letters, office administration, and other jobs related to typing. Over time and the development of technology, typewriters gradually replaced by the presence of a computer. The use of computers can help work in terms of making tasks both from the office and from school. So typing skills quickly and precisely are needed. Vocational school is a level of formal education that is ready to go into the world of work. The PKM activity was carried out at SMK Plus BNM Pariaman because this school only taught theories about typing 10 fingers without providing special training. So by giving theory alone, students are not accustomed to typing 10 fingers in accordance with adequate procedures. The goal of this activity is to increase the knowledge and skills of students to implement a 10-finger typing system and without looking at the keyboard. With this skill, the school will create graduates that are in line with industry needs.
Examining the Academic and Non-Academic Correlates of Student Retention

This study was conducted to verify the reasons of students who had withdrawn or discontinued their studies. Academic and non-academic correlates of student retention were identified through the reasons provided by the students in the Withdrawal/Dropping Out Forms which are available at the Registrar’s Office. Moreover, telephone calls were done to further discuss the reasons for leaving the university. Majority of students who had withdrawn are males. In terms of program enrolled, there are many business students who dropped out from the university, followed by the international studies, engineering, computing, and lastly, the graduate students. Moreover, majority of those who dropped out are married, followed by single, divorced, and others who did not mention their status. On the other hand, there were more working students who had withdrawn from the university compared to non-working students. Among the reasons cited for leaving the university, the top five are experienced health-related problems, did not have enough money to continue, and accepted a fulltime job, conflict between demands of job and university, and visa problems. Reasons that were not cited at all are on the program/institutional issues such as dissatisfied with academic performance, could not connect classroom to the outside world, achieved academic goals, dissatisfied with the class size, dissatisfied with the learning environment, dissatisfied with the quality of teaching, and inadequate academic support.
LibGuides: Criminal Justice: Statistics and Data

This guide provides information resources tailored to students and faculty in the Criminal Justice department.
A Study on the Cultivation Plan Service at the Preliminary production phase based on bigdata analysis

This focuses on the Cultivation Plan Service at the preliminary production phase is critical in that it supports agricultural producers' decision by providing related information such as predicted crop production or expected profits for consulting or other agricultural information when they plan to cultivate. This paper describes the reference architecture of the farming sector will benefit immensely from the implementation of farming data in farming contents repository which will serve as the knowledge base for the Cultivation Plan Service at the pre-production stage based on Bigdata analysis.
Adding Client-Side Logic

Part of developing web applications is knowing how to style your UI properly. Some might argue that this is the role of a front-end or full-stack developer, but it is good that every developer knows the basics of CSS, jQuery, and JavaScript.
Formation of digital resources for the electronic library «Scientific Heritage of Russia»

The article describes methods for the formation and presentation of digital images of objects of various types (printed publications, archival materials, museum items, audio-video materials) for the electronic library «Scientific Heritage of Russia».
Pemanfaatan Media Google Classroom Dalam Meningkatkan Mutu Pembelajaran Pada Masa Pandemi Covid-19 Di IHDN Denpasar

&lt;p&gt;&lt;em&gt;The use of online media as a learning medium is so familiar. Utilization of media in the midst of a global pandemic is the main choice to overcome social and physical distancing at this time. Demands in the world of education to be able to adapt to technological developments in addition to aiming to support the smooth course, also aims to streamline learning, in accordance with learning anywhere and anytime. Various forms of Learning Management System (LMS) that exist today, online learning media such as Google classroom in lectures are very commonly used by lecturers to support learning outcomes, through the features they have. Collecting data is using quantitative descriptive by using google form which are 108 respond by spreading online to Religion Education students. The purpose of this paper is to determine the use of google classroom in lectures and to find out the advantages and disadvantages of using google classroom media. Based on the results of the distribution of questionnaires to students majoring in religious education, it shows that more than 90% of students are accustomed to using google classroom with the benefits they have. In addition, some weaknesses are also felt by students during the learning process using only google classroom media.&lt;/em&gt;&lt;/p&gt;
Integrated Individual Service with Community Approach in Therapeutic Community-based Rehabilitation at Lido Rehabilitation Centre of the Indonesian National Narcotics Agency

Recovery process of substance use disorders requires comprehensive approach. The Indonesian National Narcotics Agency (Badan Narkotika Nasional/BNN) provides Therapeutic Community (TC) rehabilitation service. TC approach is about community that faces common issue, gather together to support each other to overcome the issue. Although TC program uses community approach, it is not yet accommodating clientâ€™s needs. For that, BNN developed an integrated individual service through community approach called â€œMoving Classâ€. Moving class is not a new approach. It is widely used in basic education, where students are moving out from their class and actively seeking a particular and designated class with particular topic, according to the schedule.Â Â Moving class in this context is modeling same approach. Standard approach provided knowledge and information sessions related to addiction through classical, where facilitator come to the class full of clients. and delivers the subject. While moving class ask clients to determine their own topic based on their own needs and ask client to find out the venue of its topic. So client have to actively move from spot to spot. They also need to make an adjustment to each class, both to the facilitator and their peer in the same class. As BNNâ€™s mission is to provide evidence-based services, there is need to do systematic review to clinically assess â€œMoving Classâ€ method. The study question is whether Moving Class method offers better behavioral changes in recovery process compared to the standard TC. This study used mixed method approach with quasi experimental design, whereby 34 participants in intervention arm received Moving Class intervention and 43 participants in standard of care (SOC) arm received standard TC. We used instruments like Client Evaluation of Self Treatment of Texas Christian University and Change Assessment Scale of University of Rhode Island to evaluate the behavioral changes. Results showed that participants in intervention arm experienced inclination to receive treatment, more participation in rehabilitation process, maintained good relationship in counseling, were able to identify problems. Also, the number of participants had had mental health issues during treatment declined. This study proved that Moving Class method provided improved behavioral changes compared to the classical one.
Analisis Technology Acceptance Model (TAM) Terhadap Penerimaan Mahasiswa Pada Portal Akademik

The purpose of this study was to evaluate the use of academic information systems among students. Seeing how student admissions use academic information systems for future improvements. This study uses the Technology Acceptance Model (TAM) method which is related to the content design and content quality of academic information systems. Data collection from this study was carried out by using a questionnaire. The questionnaire was filled in by ≥152 respondents consisting of students from various faculties and departments and at different semester levels. By obtaining construct reliability cut off ≥ 0.7 and Average Variance Extracted with cut off ≥ 0.5, the indicator value has good internal consistency. From the results of the analysis conducted, it shows that the significant influence of content quality on content design, quality, and content design on the ease and benefits felt by students. Although there is no significant correlation between ease of use of the portal and its perceived benefits.
Correction to: Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

In the originally published version of the chapter 12, the funding information in the acknowledgments section was incorrect. The funding information was removed.
Integrated Library System untuk Meningkatkan Efektivitas Layanan Perpustakaan Dengan Menggunakan Metode Algoritma Apriori

Cirebon Regency Library is one of the libraries that stands on Jl. Sunan Drajat No.9 Source. Where the library has improved its services through the provision of facilities and rooms that are very adequate. With the increase in book collections in the library, it would be great if you use a data mining system that functions to determine the data set as a process that can help in finding the books desired by library customers. The association rule technique using a priori algorithm can be used as a reference in finding out simultaneous borrowing in one transaction that occurs on one item. After determining that one item, testing is carried out whether it can meet the support standard which can be used as a minimum requirement then a rule is made in accordance with the confidance drinking standard, since 2020 the Library System in Cirebon Regency has used localhost which is an integrated library system in providing services to customers. One of the services provided is information that is needed centrally so that it can support decision makers what books are available for borrowing, what are the conditions for becoming a member, who is already a member. By using this system, we can see a pattern of borrowed books based on recommendations from librarians and can make arrangements in book storage in accordance with the patterns of information in book storage
Heterogeneous Multipartite Entanglement Purification for Size-Constrained Quantum Devices

The entanglement resource required for quantum information processing comes in a variety of forms, from Bell states to multipartite GHZ states or cluster states. Purifying these resources after their imperfect generation is an indispensable step towards using them in quantum architectures. While this challenge, both in the case of Bell pairs and more general multipartite entangled states, is mostly overcome in the presence of perfect local quantum hardware with unconstrained qubit register sizes, devising optimal purification strategies for finite-size realistic noisy hardware has remained elusive. Here we depart from the typical purification paradigm for multipartite states explored in the last 20 years. We present cases where the hardware limitations are taken into account and, surprisingly, find that smaller ``sacrificial'' states, such as Bell pairs, can be more useful in the purification of multipartite states than additional copies of these same states. This drastically simplifies the requirements and presents a fundamentally different pathway to leverage near-term networked quantum hardware.
유아의 창의적 인재 역량 척도 개발에 대한 예비연구

Objective: The purpose of this study is to develop a creative talent competency scale for preschool children. Methods: Components of creative talent competency were identified based on the results of literature review and a survey of 10 teachers. 71 preliminary items were constructed to measure the components. Content validity testing and a first-step preliminary study were implemented based on 71 items. The second-step preliminary study was conducted with 250 preschool children. The collected data was verified and analyzed through exploratory factor analysis and reliability coefficient. Results: Three factors composed of creative thinking, creative characteristics and social related character were extracted and 67 items were finally selected. The results showed that the creative talent competency scale had reliability of internal consistency and internal content validity. Conclusion: This study is expected to examine creative talent competency for preschool children and will serve as basic data to construct components of a creative talent competency scale.
Density-Based Clustering Method for Trends Analysis Using Evolving Data Stream

Evolution of data in the data stream environment generates patterns at different time instances. The cluster formation changes with respect to time because of the behaviour and members of clusters. Data stream clustering (DSC) allows us to investigate the changes of the group behaviour. These changes in the behaviour of the group members over time lead to formation of new clusters and may make old clusters extinct. Also, these extinct old clusters may recur over time. The problem is to identify and record these change patterns of evolving data streams. The knowledge obtained from these change patterns is then used for trends analysis over evolving data streams. In order to address this flexible clustering requirement, density-based clustering method is proposed to dynamically cluster evolving data streams. The decay factor identifies formation of new clusters and diminishing of older clusters on arrival of data points. This indicates trends in evolving data streams.
A q-queens problem VII: Combinatorial types of nonattacking chess riders.

On a convex polygonal chessboard, the number of combinatorial types of nonattacking configuration of three identical chess riders with $r$ moves, such as queens, bishops, or nightriders, equals $r(r^2+3r-1)/3$, as conjectured by Chaiken, Hanusa, and Zaslavsky (2019). Similarly, for any number of identical 3-move riders the number of combinatorial types is independent of the actual moves.