Reviewerly/exHarmony huggingface dataset:
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

Most work on multi-document summarization has focused on generic summarization of information present in each individual document set.However, the under-explored setting of update summarization, where the goal is to identify the new information present in each set, is of equal practical interest (e.g., presenting readers with updates on an evolving news topic).In this work, we present SupMMD, a novel technique for generic and update summarization based on the maximum mean discrepancy from kernel two-sample testing.SupMMD combines both supervised learning for salience and unsupervised learning for coverage and diversity.Further, we adapt multiple kernel learning to make use of similarity across multiple information sources (e.g., text features and knowledge based concepts).We show the efficacy of SupMMD in both generic and update summarization tasks by meeting or exceeding the current state-of-the-art on the DUC-2004 and TAC-2009 datasets.
Studi Pendampingan Pengembangan Bahan Ajar Tematik Terintegrasi Literasi Baru dan Literasi Bencana Pada Guru IPA Kabupaten Agam

Literacy is required in the 4.0 industrial revolution and education in Indonesia. However, the real condition indicated that the integration of literacy in science learning of the science teachers was still limited. The solution of this problem is assisting the partner in writing science thematic learning material by integrating new literacy and disaster literacy. The objective of assisting is to improve competency of science teachers in writing thematic learning material. The target of the assisting activity was the teachers in science MGMP in Agam district. Methods in assisting include presentation and discussion, group work, independent task, and task presentation. Instruments to collect the data consist of knowledge test and questionnaire. Data analysis techniques were descriptive statistical analysis and paired comparison test. There are four results of the assistance, namely: 1). The average value of skills in integrating new literacy into thematic science worksheet is 70.5 and this average value can be classified into good category, 2). Teachers felt the benefits of assistance in aspects of learning material, thematic learning, integration of new literacy and disaster literacy in learning, and writing of thematic learning material, 3). The response of student from to the use of thematic science worksheet by integrating new literacy can be entered into very good category with an average value of 86.7, and 4). The implementation of assisting on the writing of thematic science learning material is effective to improve the new literacy and disaster literacy of science teachers.
Merging problems in modern version control systems

During software development, when developers change the same part of the code concurrently, this may be led to merging conflicts. Resolving these conflicts might be costly and time-consuming. Three types of conflicts may arise during merge processes: textual, syntactic, and semantic. Textual conflicts occur when merging a concurrent operation, such as addition, removal or edition take place over the same parts of code. Syntactic conflicts occur when concurrent operations break the syntactic structure of the source code files when merged. Finally, a semantic conflict occurs when the merged modification is compiled without error but malfunctions. Version management systems usually use textual merging technique; users can synchronize their modifications with other users working in parallel with them, in this process, a merge is performed between local modifications and remote modifications. The previous work has examined different mechanisms to detect and resolve conflicts and proposed different tools for resolving merge conflicts, such as two-way merging, three-way merging, state-based merging, and operation-based merging. This paper discusses and investigates many concepts related to merging conflicts by asking and answering these questions; what are the factors that most affect in a merge conflict, how to avoiding and reducing merge conflicts, how to detecting merge conflicts, and how to resolve them.
Monocular Vision-based Obstacle Avoidance Trajectory Planning for Unmanned Aerial Vehicles

Monocular vision has become a promising sensing method for Unmanned Aerial Vehicle (UAV) Sense and Avoid (SAA), with the advantages of low cost and small size. However, obstacle perception capability of monocular vision is limited due to the restriction of optical imaging properties, which have significant influence on avoidance trajectory planning. By considering the characteristics of monocular vision-based optical measurement, a receding horizon-based collision avoidance trajectory planning algorithm is proposed for eliminating the hazard of both static and dynamic obstacles in this paper. This paper aims at dealing with two core problems: 1) how to localize obstacle via monocular vision; 2) how to generate a collision free trajectory with partially observed obstacle information obtained by monocular vision. To solve the first problem, monocular vision-based optical measurement for obstacle estimation is firstly analyzed and orthogonal iteration-based localization is further adopted. To solve the second problem, with the constraints containing obstacle avoidance and UAV aerodynamics, a receding horizon-based collisionfree trajectory planning method is proposed. Simulation results demonstrate the algorithm proposed in this paper increases the safety level of UAV and is capable of avoiding both static and dynamic obstacles.
GAYA KEPEMIMPINAN DEMOKRATIS PERPUSTAKAAN KOTA YOGYAKARTA (STUDI KASUS)

&lt;p&gt;The library is a non-profit institution engaged in services and services that are directly related to the community. In order to regulate the rhythm of work continuity, a library organization has a leader, namely the head of the library. The head of the library has a way of leading or often called style, to run a library. Leadership style is the way a leader influences subordinates in running an organization. One type of library is the public library. Sustainability of public libraries will work well requires leaders. Library leaders generally have their own style to carry out their leadership. This research discusses how the leadership style in public libraries? Case study in Yogyakarta City Public Library. The research method used is using literature study, semi-structured interviews, and library observations. The conclusion obtained is that the leadership of the Yogyakarta City Library has a demoratic leadership style. This is evident from every time a decision is made, the head of the library involves staff to submit suggestions and input for the sustainability of the library. These suggestions and input are used as a decision maker. The final result of the decision remains in the hands of the head of the library.&lt;/p&gt;&lt;p&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;
A Non-Standard Kripke Semantics for the Minimal Deontic Logic

In this paper we study a new operator of strong modality ⊞, related to the non-contingency operator ∆. We then provide soundness and completeness theorems for the minimal logic of the ⊞-operator.
Urgensi Autentikasi dan Legalisasi Arsip Pertanahan Hasil Digitalisasi

Land archive is the living archive of that must be fully maintained. As things goes, Sleman Land Office does digitalization archives to Gambar Ukur, Surat Ukur, Buku Tanah and Warkah by using a web-based application system which is called the Laris application. The research is aimed at finding out the reason why the office is doing digitalization with Laris application and finding out wheter this digitalized archive has been able to replace the original file in the form of paper. This research was conducted with a qualitative method with a descriptive approach Based on research results, obtained information that the digitalization of land records carried out in the Sleman’s Land office which has been done since year 2014 not solely done to change the format of analog files to digital files, but is expected to able provide more comprehensive benefits related to the acceleration of land services so that in practice it uses the Laris application. However, the existence of this digitalized archive still not able to replace the position of analog archive in manner so that the analog archive is still maintained. Therefore, its important to authentication and legalization so the archive of digitalization result legally strong.
Psifr: Analysis and visualization of free recall data

Research on human memory has been strongly influenced by data from free recall experiments, wherein participants study a list of items (such as words) and then freely recall them in any order they wish (Murdock, 1962).Free recall provides an extremely rich dataset that not only reflects which items were recalled but also the order in which they were recalled.However, analysis of free recall data is difficult, as many different influences on recall must be taken into account.For example, one influential analysis, conditional response probability as a function of lag (lag-CRP), has been used to measure the tendency of participants to successively recall items that were originally presented near to each other in time (Kahana, 1996).This analysis requires taking into account the items that are still available for recall at each transition between recalled items.This analysis may need to be made conditional on other factors, such as the category of the items being recalled (Morton &
Identity-Based Identification Scheme without Trusted Party against Concurrent Attacks

Identification schemes support that a prover who holding a secret key to prove itself to any verifier who holding the corresponding public key. In traditional identity-based identification schemes, there is a key generation center to generate all users’ secret keys. This means that the key generation center knows all users’ secret key, which brings the key escrow problem. To resolve this problem, in this work, we define the model of identity-based identification without a trusted party. Then, we propose a multi-authority identity-based identification scheme based on bilinear pairing. Furthermore, we prove the security of the proposed scheme in the random oracle model against impersonation under passive and concurrent attacks. Finally, we give an application of the proposed identity-based identification scheme to blockchain.
The Vulnerability Of Young Women To Cybercrime: A Case Study In Penang

Cybercrime is an important issue that is now often discussed by the global community. The Royal Malaysian Police (PDRM) reported that the number of cybercrime cases recorded from January to October 2017 is 8,313, showing that cybercrime is a very serious and worrying issue at the moment. For this reason, this study aims to examine the vulnerability of young women in Penang to cybercrime. 150 young women were selected using purposive and snowball sampling to answer a survey questionnaire, and five among them were selected to be interviewed. The results showed that 51.3 per cent of the respondents have been victims of cybercrime. From the seven types of cybercrime activities that young women often experience (i.e. sexual harassment, fraud, slander, blackmail, hacking, verbal abuse and bullying), sexual harassment and fraud are the most common cybercrimes encountered by the respondents. Descriptions of their experience with these two crimes were examined further through the interview. This study contributes to knowledge on the vulnerability of young women to cybercrime which can be extended to geography of crime studies.
Çekişmeli Üretici Sinir Ağları ile Bebek Yüz Üretimi: Bir Vaka Çalışması

Generative Adversarial Networks (GANs) are increasingly applied to train generative models with neural networks, especially in computer vision studies. Since being introduced in 2014, many image generation studies incorporating GANs have demonstrated promising results for producing highly convincing fake images of animals, landscapes, and human faces. We build a GAN structure to generate realistic baby face images from a small data set of 673 color 200×200 pixel images obtained from a Kaggle data set by following previous studies that demonstrated how GANs could be used for image generation from a limited number of training samples. The reason we limit especially as baby faces is that we aim to achieve success with a limited number of training data. For evaluation, experiments and case studies are one of the most considered techniques. The results of this study help identify issues requiring further investigation in comment analysis research. In this context, we presented the loss values of the generator and discriminator during the training process. The discriminator losses are around of 0.7 and the generator is between 0.7 and 0.9. The high quality images are produced about 300th epochs.
Floquet-engineered quantum walks

Abstract The quantum walk is the quantum-mechanical analogue of the classical random walk, which offers an advanced tool for both simulating highly complex quantum systems and building quantum algorithms in a wide range of research areas. One prominent application is in computational models capable of performing any quantum computation, in which precisely controlled state transfer is required. It is, however, generally difficult to control the behavior of quantum walks due to stochastic processes. Here we unveil the walking mechanism based on its particle-wave duality and then present tailoring quantum walks using the walking mechanism (Floquet oscillations) under designed time-dependent coins, to manipulate the desired state on demand, as in universal quantum computation primitives. Our results open the path towards control of quantum walks.
Classification of the Theses and Dissertations in the Field of Computer Education and Instructional Technology in Turkey: An Investigation through Text Mining

The rapid development of technology has led changes in educational paradigms in many areas of daily life. With this change, the integration of technology into educational environments and the organization of resources and processes have gained more importance. This situation reveals the need for educational technologies. There is a need for studies that can take a snapshot of the field for researchers to have a better understanding of the field. According to this need, it is aimed to take a snapshot of the area through text mining analysis would provide a wider perspective of the field. The results showed that the analyses on the keywords and summaries of the studies indicated that three clusters were formed according to the summaries and five different clusters were formed according to the keywords. Based on the findings of the current study, the appearance of instructional design in the red cluster and its divergence from other clusters indicate a key finding in terms of the field. It can be concluded that instructional design is used in the design of distance education environments, but in other clusters, instructional design is not a priority. However, the researchers in this field are expected that instructional design principles should be employed for diverse issues such as teaching programming, language teaching, and the use of social media in learning environments.
PENGEMBANGAN MEDIA PEMBELAJARAN MENGGUNAKAN MOBILE APLIKASI BERBASIS AUGMENTED REALITY MATERI DIMENSI TIGA KELAS XII SMA NEGERI 4 PEKALONGAN

The purposes of the research were to develop and produce an augmented reality based learning media product of used proper. This research was conducted to 30 third grade students of Social Science Major at Senior High School 4 of Pekalongan. This research used Research and Development (R&amp;D) method with ADDIE model. The conducted steps were analysis, design, development, implementation and evaluation. The data collection instruments used within this research were observation, interview and questionnaire. There were 3 questionnaires: 1) Student’s need questionnaire; 2) Validity questionnaire; and 3) Practicality questionnaire. The data analyses used were learning media validity analysis and students’ response practicality analysis. Based on the result of the research, the average total aspect from all validators reached 4,10. It showed that the developed learning media could be categorized as valid. Meanwhile from the students’ response questionnaire showed that the practicality value reached 92%. It indicated that the learning media used was very practical. Therefore, it can be concluded that the learning media is feasible as it is valid and very practical. The learning media can be utilized as a learning source for students in three dimension materials.Keywords: Learning Media, Mobile Application, Augmented Reality
Optimizing radiotherapy plans for cancer treatment with Tensor Networks

We present a novel application of Tensor Network methods in cancer treatment as a potential tool to solve the dose optimization problem in radiotherapy. In particular, the Intensity-Modulated Radiation Therapy (IMRT) technique - that allows treating irregular and inhomogeneous tumors while reducing the radiation toxicity on healthy organs - is based on the optimization of the radiation beamlets intensities. The optimization aims to maximize the delivery of the therapy dose to cancer while avoiding the organs at risk to prevent their damage by the radiation. Here, we map the dose optimization problem into the search of the ground state of an Ising-like Hamiltonian, describing a system of long-range interacting qubits. Finally, we apply a Tree Tensor Network algorithm to find the ground-state of the Hamiltonian. In particular, we present an anatomical scenario exemplifying a prostate cancer treatment. A similar approach can be applied to future hybrid classical-quantum algorithms, paving the way for the use of quantum technologies in future medical treatments.
Gestão e plano de contingência do Serviço de Imunoalergologia do Centro Hospitalar e Universitário de S. João no contexto da pandemia por COVID-19

The SARS-CoV-2 pandemic spread worldwide in a short period causing an extremely high number of infected people and numerous fatalities.Portugal as many other countries declared a State of National Emergency and applied quarantine measures soon after the WHO declaration of pandemic.As result we had to deal with dramatic and unexpected changes affecting our clinical activity on an unprecedented scale.A Contingency Plan was immediately planned, comprising new approaches and strategies, to assure the health care needs of our allergic patients and the safety of both health care providers and patients.Additionally, we needed to consider the intensive participation of most of the doctors and nurses of our Department in COVID-19 related activities.The Contingency Plan was also particularly difficult to elaborate since no recommendations or guidelines were available at that time.We believe that sharing this experience with other Allergy and Clinical Immunology Departments may prove to be useful in case of a second wave of COVID-19 infection or another future pandemic.
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Recommendation System into Social Life

Researchers still believe that the information filtering system/ collaborating system is a recommender system or a recommendation system. It is used to predict the "rating" or "preference" of a user to an item. In other words, both predict rating or preference for an item or product on a specific platform. The aim of the paper is to extend the areas of the recommender system/recommendation systems. The basic task of the recommender system mainly is to predict or analyze items/product. If it is possible to include more products in the system, then obviously the system may be extended for other areas also. For example, Medicine is a product and doctors filter the particular medicine for the particular disease. In the medical diagnosis doctors prescribed a medicine and it a product. It depends on the disease of the user/patient so here doctor predicts a medicine or product just like an item is recommended in a recommender system. The main objective of the paper is to extend the Recommender System/Recommendation system in other fields so that the research works can be extended Social Science, Bio-medical Science and many other areas.
UDenseNet: A Universal Dense Convolutional Network for Image Recognition

Densely connected convolutional networks (DenseNet) have reached unprecedented parameter-performance efficiencies and alleviated problems of vanishing gradients by concatenating each layer to every other layer. However, with the increase in network depth, the cross-channel interaction of dense blocks has become increasingly complex. Hence, it is now more difficult to optimize networks. Moreover, the way combining features in DenseNet restricts its flexibility and scalability in learning more expressive combination strategies. In this study, we aim to answer the question of how to simultaneously ensure the benefits of feature reuse, reduce the complexity of cross-channel interactions, and increase the flexibility of the network. Hence, the components of DenseNet are refined and then used as a basis to develop a universal densely connected convolutional network (UDenseNet). Based on the proposed architecture, the impact of different component configurations on the network performance is empirically analyzed to determine the optimal architectural configuration. Extensive experiments are conducted to validate the proposed UDenseNet on benchmark datasets (CIFAR, SVHN and ImageNet). Results show that, compared to most other methods, the proposed UDenseNet can significantly improve performance in image recognition tasks.
How to Avoid Predatory Publishing

The open access (OA) publishing, where a reader- pays economy has been replaced by an author-pays model, began at the end of the 20th century. This movement arose as an attempt to avoid excessive costs and copyright transfer agreements inherent to the subscription model.
Time-delayed quantum feedback and incomplete decoherence suppression with a no-knowledge measurement

The no-knowledge quantum feedback was proposed by Szigeti et al. [Phys. Rev. Lett. 113, 020407 (2014)] as a measurement-based feedback protocol for decoherence suppression for an open quantum system. By continuously measuring environmental noises and feeding back controls on the system, the protocol can completely reverse the measurement back-action and therefore suppress the system's decoherence. However, the complete decoherence cancellation was shown only for the instantaneous feedback, which is impractical in real experiments. Therefore, in this work, we generalize the original work and investigate how the decoherence suppression can be degraded with unavoidable delay times, by analyzing non-Markovian average dynamics. We present analytical expressions for the average dynamics and numerically analyze the effects of the delayed feedback for a coherently driven two-level system, coupled to a bosonic bath via a Hermitian coupling operator. We also find that, when the qubit's unitary dynamics does not commute with the measurement and feedback controls, the decoherence rate can be either suppressed or amplified, depending on the delay time.