Reviewerly/exHarmony huggingface dataset:
Improvement Measurement-Device-Independent Quantum Key Distribution with Imperfect Coherent Pulses

Abstract The security of the original measurement-device-independent quantum key distribution (MDI-QKD), immune to all possible side channel detector attacks, is relied on the assumption that legitimate users, called Alice and Bob, can control their sources exactly. However, this might always not be satisfied in today’s state of the art. Later, one of us has proposed a MDI-QKD with uncharacterized coherent pulses, and shows that MDI-QKD can cover long distances securely with imperfect current sources. In this paper, relied on the basic imperfect sources assumption of the former work, we propose an improved one by applying a technique of imperfect phase region matching. We focus on deriving the bound of secrete key rate for this improved protocol, and simulation results show that the improved MDI-QKD can achieve much more better performances than the former one. It pushes the MDI-QKD a step forward to be more practical in more device independent scenario.
Evaluation of the Effect of Educational Smartphone App for Nursing Students

The purpose of this study was to compare the effect of educational smartphone app with the effect of learning using conventional paper material. We developed an educational app for nursing students to learn how to read blood pressure and how to take a pulse. Evaluated was the effect of the app-based education by measuring the short term memory (right after the education), the long term memory (a week later) and the satisfaction. 25 college nursing students participated for the experiment group using the app-based education and 25 for the control group using paper-based education. We applied for statistical analysis Fisher’s exact test and Independent t-test. The satisfaction of the app user’s appeared significantly higher than that of the paper material user’s (t=2.322, p=0.024). The short term memory score was 0.23 points higher in the experimental group (6.46 points) than in the control group (6.23 points), which was not statistically significant (t =0.422, p =0.675). Similar result came for the long term memory (t=1.006, p=0.320). After adjusting for the effect of a college grade using ANCOVA, the effect on memory was significantly higher in the experiment group. There might be differences in learning ability between the experimental and the control groups.
Research on the Influence of Computer-aided Technology on the Management of University Officials

Abstract With the continuous deepening of the reform of the cadre personnel system in our country and the increasing frequency of talent flow, the traditional cadre personnel file management model faces new challenges. This paper analyzes the importance and existing problems of the management of personnel files of cadres in colleges and universities with computer aided technology, and puts forward countermeasures for the management of cadres’ personnel files from aspects of hardware construction, staffing, sound system, standardized management, promotion of informatization, and improvement of utilization rate.
Completeness of logics with the transitive closure modality and related logics

We give a sufficient condition for Kripke completeness of modal logics enriched with the transitive closure modality. More precisely, we show that if a logic admits what we call definable filtration (ADF), then such an expansion of the logic is complete; in addition, has the finite model property, and again ADF. This argument can be iterated, and as an application we obtain the finite model property for PDL-like expansions of logics that ADF.
Contextualized Character Embedding with Multi-Sequence LSTM for Automatic Word Segmentation

Contextual information is a crucial factor in natural language processing tasks such as sequence labeling. Previous studies on contextualized embedding and word embedding have explored the context of word-level tokens in order to obtain useful features of languages. However, unlike it is the case in English, the fundamental task in East Asian languages is related to character-level tokens. In this paper, we propose a contextualized character embedding method using n-gram multi-sequences information with long short-term memory (LSTM). It is hypothesized that contextualized embeddings on multi-sequences in the task help each other deal with long-term contextual information such as the notion of spans and boundaries of segmentation. The analysis shows that the contextualized embedding of bigram character sequences encodes well the notion of spans and boundaries for word segmentation rather than that of unigram character sequences. We find out that the combination of contextualized embeddings from both unigram and bigram character sequences at output layer rather than the input layer of LSTMs improves the performance of word segmentation. The comparison showed that our proposed method outperforms the previous models.
Programs of Recursive Analytical Calculations in Problems of Random Point Images Analysis

The paper discusses an approach to solving complex probabilistic combinatorial problems. The approach is based on the use of specialized software systems for analytical transformations for computing systems. One of the problems associated with the partition of the interval (which arises in the study of the reliability of reading discrete-point fields and digital images) is considered in the paper, and new previously unknown analytical formulas have been successfully obtained. The efficiency of the developed software systems is ensured by two factors: firstly, the development of high-speed specialized recursive-combinatorial algorithms; secondly, the software implementation on high-performance computing clusters using modern programming and development tools (such as C ++ and MPI).&#x0D; Examples of particular solutions to the described problem that are obtained with the help of constructed computer systems are presented. An effective approach to solving complex probabilistic combinatorial problems is demonstrated. For the proposed approach, a computer is not just a powerful "calculator", but is an effective assistant with a wide range of algorithms and programs for complex and branched analytical transformations.
IoT Stickers

Internet-of-Things (IoT) devices promise to enhance even the most mundane of objects with computational properties by seamlessly coupling the virtual world to the physical. However, IoT's associated costs and cumbersome setup limits its extension to many everyday tasks and objects, such as those in the home. To address these issues, my dissertation work will enable IoT Stickers'a book of inexpensive, battery-free sensors and composition patterns'to support customizing everyday objects with software and web services using stickers. Using RFID-based paper mechanisms, IoT Stickers integrates common sensors and web services with interactive stickers through a trigger-action architecture. This integration enables computational services to be tailored to everyday activities by setting parameters to be passed to the sticker's actions and composing the stickers together. Thus, IoT Stickers demonstrates a way to associate IoT services with a dramatically wider set of objects and tasks.
STUDI KESALAHAN PEMAKAIAN EJAAN DAN STRUKTUR KARANGAN EKSPLANASI SISWA KELAS VIII SMP NEGERI 1 BANYUDONO

&lt;h1&gt;&lt;em&gt;This research is a case study using descriptive qualitative methods with 21 research subjects explanatory essays written by class VIII students. The results showed that (1) there were 447 findings of spelling errors, including the writing of absorption elements (0.06%), word writing (8.27%), use of punctuation marks (18.34%), and use of letters (72, 70%) dominated by capital letters errors (70.69%) in the form of findings of patterns of capital letters errors; (2) there are seven articles that have structural errors, including the structure of the composition which is not coherent, the ambiguous type of the article, and the fact that incomplete of the structure dominates the findings of structural errors and becomes one of the triggers for other errors; (3) the factors causing the error are lack of writing practice, less thoroughness, lack of understanding of students, students' language habits, and lack of student interest in following lessons which are the dominant factors because it exacerbates other factors; (4) preventive action, students choose to learn to use spelling correctly and write explanatory text; the teacher makes direct corrections, emphasizes punishment, the use of spelling guidelines and text characteristics to students; the school, especially the principal, supervises and activates school literacy, and (5) both students, teachers and school principals provide advice to deal with these mistakes, namely the use of fun learning media and creating a comfortable learning atmosphere, habituation to using PUEBI, as well as synergy from related parties.&lt;/em&gt;&lt;/h1&gt;
Forms of Influencing Young People through Media Discourse

In the modern age, conquered by the phenomena of globalization, mass media have become more and more significant for the lives of individuals who are building their horizons of representation under different influences, both internal and external. In accordance with their individuality, with the specificity of their social group or with the dominant features of the reference group, with the help of information and messages promoted by the media, individuals relate to the society in which they live.
Efficient dispatch of multi-object polymorphic call sites in contextual role-oriented programming languages

Adaptive software becomes more and more important as computing is increasingly context-dependent. Runtime adaptability can be achieved by dynamically selecting and applying context-specific code. Role-oriented programming has been proposed as a paradigm to enable runtime adaptive software by design. Roles change the objects’ behavior at runtime, thus adapting the software to a given context. The cost of adaptivity is however a high runtime overhead stemming from executing compositions of behavior-modifying code. It has been shown that the overhead can be reduced by optimizing dispatch plans at runtime when contexts do not change, but no method exists to reduce the overhead in cases with high context variability. This paper presents a novel approach to implement polymorphic role dispatch, taking advantage of run-time information to effectively guard abstractions and enable reuse even in the presence of variable contexts. The concept of polymorphic inline caches is extended to role invocations. We evaluate the implementation with a benchmark for role-oriented programming languages achieving a geometric mean speedup of 4.0× (3.8× up to 4.5×) with static contexts, and close to no overhead in the case of varying contexts over the current implementation of contextual roles in Object Teams.
Renormalization: Single-photon processes of two-level system in free space

The investigation on quantum radar requires accurate computation of the state vectors of the single-photon processes of the two-level system in free space. However, the traditional Weisskopf-Wigner (W-W) theory fails to deal with those processes other than spontaneous emission. To solve this problem, we provide a new method based on the renormalization theory. We evaluate the renormalized time-ordered Green functions associated with the single-photon processes, and relate them to the corresponding state vectors. It is found that the ultraviolet divergences generated by the Lamb shift and higher-order interactions can be systematically subtracted in the state vectors. The discussions on spontaneous emission and single-photon absorption are then presented to illustrate the proposed method. For spontaneous emission, we obtain the same results of the W-W theory. For single-photon absorption where W-W theory fails, we find that the two-level electric dipole first gets excited rapidly and then decays exponentially, and that the efficiency of the single-photon absorption declines as the bandwidth of the incident photon becomes narrow. The proposed method can improve the investigation on quantum radar.
Deep gold mineralization features of Jiaojia metallogenic belt, Jiaodong gold Province: Based on the breakthrough of 3000 m exploration drilling

ABSTRACT Recently, continuous breakthroughs have been made about deep gold prospecting in the Jiaodong gold province area of China. Approximately 5000 t of cumulative gold resources have been explored in Jiaodong, which has thus become an internationally noteworthy gold ore cluster. The gold exploration depth has been increased to about 2000 m from the previous
PENERAPAN ALGORITMA APRIORI UNTUK REKOMENDASI BUKU PADA AMIKOM RESOURCE CENTER

Amikom Resource Center each time producing recorded data, the activity is carried out for years so that it makes Big Data. The big data has the opportunity to produce information that can be useful for borrower and library management.One of the data mining techniques that can be used is the Apriori algorithm with the association rules technique. By using book lending transaction data, apriori algorithm will form association rules between books which are then used to determine book recommendations. In addition, the results of apriori analysis can also be used by the library as information to findout which books are often borrowed, the placement of the book layout in the Amikom library.The results showed that the association rules formed from 562 book lending transaction data in November 2019 used a minimum book frequency of 4 or a minimum support value of 0.7% and a minimum confidence of 80% resulting in 10 association rules with all rules having a positive correlation so that it can be used as a reference for giving book recommendations.
Transdisciplinary methods of the future physical culture teacher’s soft skills competencies formation

The article substantiates the urgency of transdisciplinary methods of soft skills competencies formation. As a result of theoretical summarizing of psychological-pedagogical literature, concerning the problem of the research, we revealed attributive features of “soft skills competencies” notion: universality, situatedness, cooperativity, longitudness, directivity. As transdisciplinary methods of the future physical culture teacher’s soft skills competencies formation the authors of the article use the methods of transdisciplinary consulting, transdisciplinary tutorship, methods of transdisciplinary supervision, “shadowing”, “in-basket”; “secondment”; “buddying” methods modification. The forming experiment was held in natural conditions and was directed toward studying the effectiveness of competencies soft skills formation transdisciplinary methods. During the experimental work the authors formed CG (control group), EG-1(methods of transdisciplinary consulting, transdisciplinary tutorship); EG-2 (methods of transdisciplinary supervision); EG-3 (“shadowing”, “in-basket”; “secondment”; “buddying” methods). For statistical results handling the authors used “SPSS v 17.0” software program, Fischer test φ*. It was underlined that transdisciplinary methods of competencies soft skills introduction conditioned statistically significant changes in modified competencies concentration, priority, tension and support in the future physical culture teachers’ notions in the experimental groups.
Development Of Descriptors For Evaluating Effectiveness Of Using Multimedia Tools In Training

The relevance of the use of multimedia technologies in the educational process is due to the fact that at the modern stage of social development there is an informatization of society as a whole.Widespread use of the global computer network Internet.Computer technology today has become an integral part of the life of many students and teachers.Student youth perceive these technologies for obtaining knowledge with greater interest than through a regular textbook.Multimedia technologies provide students with access to non-traditional sources of information; teachers are allowed to implement new forms and teaching methods that contribute to improving the quality of education.The problem of using multimedia teaching aids is quite well developed in theory.The introduction of multimedia teaching aids in modern education is necessary to improve its quality.It is important to correctly guide the student so that in the future it will be easier for him in any activity.Taking into account the didactic principles and methodological requirements for the quality of multimedia teaching aids, the effectiveness of using multimedia is increasing, therefore, it is necessary to take into account the main classical approaches to assessing the effectiveness of using multimedia in the educational process.Based on the study, author's descriptors of the effectiveness of multimedia training tools have been developed.
Penggunaan Kartu Huruf dan Permainan Mencari Kartu Huruf Untuk Peningkatan Pengenalan Huruf

The purpose of this observation is to find out the increase in the ability to recognize letters in the children of group A PAUD Gemar Ilmu Regency of Brebes through letter card media. The subjects of this observation were group A children of 22 students. Data collection techniques are carried out through observation, checklist and interview. The results of the observation showed an increase in the ability to recognize letters in PAUD Gemar Ilmu students in group A after learning using letter card media, which initially was in the percentage of 45.44% to 86.26%. Thus the use of letter card media in learning to recognize letters can improve the ability to recognize letters in the children of group A PAUD Gemar Ilmu Regency of Brebes.&#x0D; &#x0D;
The Implementation of E-Learning System on Intensive English Course in Darussalam Islamic Institution of Blokagung in Academic Year 2019/2020

This study explains about the implementation of the e-learning system on the Intensive English Course in IAI Darussalam in the academic year 2019/2020. There are three problem statements of this study that are How is the implementation and the problems of the implementation of e-learning systems in the intensive English course, the last is how are the students' responses to the implementation of the e-learning system in the intensive English course. This study used descriptive analysis. The findings of this study concluded that the most common problem in the implementation of the e-learning system in the Intensive English Course is an internet connection. The implementation of the e-learning system on the Intensive English course has a slightly positive and tends to be a negative response from the students. They fully need face-to-face learning with their tutors. They argue that the e-learning system is not more effective than learning an Intensive English Course that does it directly.
Network Congestion Awareness in Cloud Data Center with Virtual Machine Migration

Network congestion has become a performance bottleneck in data center, which needs to be solved urgently. In view of this, this study attempts to apply virtual machine migration to change the position of flow sender or receiver in the network topology to optimize the traffic layout so as to effectively reduce the network congestion. Compared with the methods of modifying the flow path or protocol stack, our proposal takes advantage of the elastic features of cloud service and achieves better results for its simplicity. Two aspects are considered in this migration scheme: (1) to minimize the traffic costs between virtual machines; (2) to minimize the migration cost. This scheme proposes a congestion-aware virtual machine migration algorithm with two stages. Our scheme is based on greedy strategy which can achieve low time complexity. The simulation shows that our scheme more effectively reduces the network congestion on the premise of minimizing the migration costs.
Utilization of Internet-Based History Learning Media in 21st Century Universities

In the current postmodern era, the internet has transformed into a cutting-edge weapon in various sectors, ranging from industry, art, economy and others. The internet has always played a vital role in maximizing these various sectors. However, what is the real reality in the world of education? Has the internet been fully utilized? Departing from these worries, this research aims to reveal the real reality of the use of the internet at the tertiary level, especially as a medium for learning history. This research itself uses a descriptive qualitative research method. Data collection techniques used in this study were interviews, observation, and document analysis. The interview form used is open and leads to depth of information and is not formal / structured. The goal is to explore the information that is researched further, complete, and in depth. Data analysis in the study took place simultaneously with the data collection process. Among them through data reduction, data presentation, and verification. The results showed that in 21st century learning, the internet has an important role if teachers can maximize its use, because with the internet students are able to dig deeper into existing information, especially now that there are so many historical journal portals that are opened online and accessed for free. Furthermore, the use of the internet can also be applied in a learning system, for example by using blended learning
Self-Supervised Feature Specific Neural Matrix Completion

Unsupervised matrix completion algorithms mostly model the data generation process by using linear latent variable models. Recently proposed algorithms introduce non-linearity via multi-layer perceptrons (MLP), and self-supervision by setting separate linear regression frameworks for each feature to estimate the missing values. In this article, we introduce an MLP based algorithm called feature-specific neural matrix completion (FSNMC), which combines self-supervised and non-linear methods. The model parameters are estimated by a rotational scheme which separates the parameter and missing value updates sequentially with additional heuristic steps to prevent over-fitting and speed up convergence. The proposed algorithm specifically targets small to medium sized datasets. Experimental results on real-world and synthetic datasets varying in size with a range of missing value percentages demonstrate the superior accuracy for FSNMC, especially at low sparsities when compared to popular methods in the literature. The proposed method has particular potential in estimating missing data collected via real experimentation in fundamental life sciences.
The Use of ICT and its Effect on University Students’ Wellbeing During COVID-19.docx

&lt;p&gt;Abstract&lt;/p&gt; &lt;p&gt;The COVID-19 pandemic has created an unprecedented need for information and communication technology (ICT), which has allowed university studies to continue in an online different environment, because social isolation is compulsory. This article designed and validated an instrument to assess the use of ICT and its effect on the wellbeing of Ecuadorian university students. A theoretical framework was constructed based on documentary analysis. A draft questionnaire considered students’ and experts’ suggestions. A pilot questionnaire was then validated with a 1,952 students sample. Finally, a reliability instrument was proposed that can be used in studies of similar situations and is able to investigate the relationship between students' wellbeing and ICT during the learning process. The questionnaire analysis revealed that not all of the world’s educational systems are prepared to take on the challenge of online classes, and not all students’ are equipped with conditions needed to participate in online distance education.&lt;/p&gt;