Reviewerly/exHarmony huggingface dataset:
Festival Tabut sebagai Inspirasi Aplikasi Crochet pada Produk Fashion Muslim

Abstract This research contains how to applicate an inspiration of cultural heritage on fashion Moslem product with a textile technique such as structure technique, which on this research structure technique that using is a crochet technique. On this research, a cultural heritage that taken by the author is a Festival Tabut. Festival Tabut is a traditional celebration of Bengkulu that celebrated on the 1st Muharram until 10th Muharram on Hijriyah year. Festival Tabut celebrated to every people that died on Padang Karbala, commemorate Husein that willing to sacrifice in defending the truth and commemorate Islamic glory between the 7th century and 13th century.Background of the problem in this research is not yet the development of Muslim fashion products that adopt the Festival Tabut as a cultural inspiration using crochet techniques. This research has a purpose to adopt a potential of Festival Tabut to be an inspiration of fashion product, to adopt a crochet technique by exploration, also to applicate Festival Tabut which using a crochet technique on Moeslem Fashion product.This research is qualitative research which has data by the interview with people that have interactions with Festival Tabut, do an observation to see a potential of Festival Tabut that will apply to Muslim Fashion product, Literature studies are conducted to strengthen data on research, also do an exploration. The result of this research is the Muslim products of outer fashion, bags, and wallets. Keywords: Festival Tabut, Crochet technique, Moslem Fashion product.
The challenge of sharing data in cooperation projects: cause for reflection.

The collection of data and  their management  remain a never-ending challenge within projects carried out in low-income countries.  Data collection requires high investments, and even if great efforts have been done in building tools for data sharing, these processes need to be improved at local level in developing countries. Data are valuable items  for developing strategies leading to more effective local development. The CeTAmb LAB, on the basis of its experience, proposes a reflection on the role of the academia, which is based on principles of capacity building and sharing knowledge, in promoting the importance of data collection, conservation and sharing.
Genuine vs Posed Expressions: A Juxtaposing of Man and Machine Performance

In face expressions, the genuine vs. posed problem refers to the ability of a computer-based system to analyze an image of a face and to recognize whether facial behavior is due to a real emotion or is the consequence of the voluntary control. In real applications a problem is the lack of fully annotated databases, as in many situations only sequence level annotations are available, thus enforcing a weakly supervised learning framework. In this paper, first we propose a method of automatic identification of spontaneous behavior based on temporal deep neural networks (3D-CNN). The method is further tested in the case of weakly supervised data. To analyze the quality of the results we follow with a subjective experiment where persons are asked to supply the automatic system behavior.
Challenges Faced by Subject Librarians in an Academic Library and Initiatives Toward Overcoming Them: UPM Library Experience

Subject Librarians play an important role in an academic library, a role which it is crucial to study. There have been many published studies that have highlighted the lack of evidence on the competencies of Subject Librarians. This paper discusses the challenges faced by the Subject Librarians of the Universiti Putra Malaysia Library. The aim was to gather information from published documents regarding the experiences and practices carried out in efforts to increase the competencies of Subject Librarians. The outcomes from this conceptual paper serve as an important instructional tool for the training and development of Subject Librarians. The results might also provide guidance for the implementation of a similar program or relevant problem-solving plans for other libraries in the region.
Mixtures of multivariate generalized linear models with overlapping clusters

With the advent of ubiquitous monitoring and measurement protocols, studies have started to focus more and more on complex, multivariate and heterogeneous datasets. In such studies, multivariate response variables are drawn from a heterogeneous population often in the presence of additional covariate information. In order to deal with this intrinsic heterogeneity, regression analyses have to be clustered for different groups of units. Up until now, mixture model approaches assigned units to distinct and non-overlapping groups. However, not rarely these units exhibit more complex organization and clustering. It is our aim to define a mixture of generalized linear models with overlapping clusters of units. This involves crucially an overlap function, that maps the coefficients of the parent clusters into the the coefficient of the multiple allocation units. We present a computationally efficient MCMC scheme that samples the posterior distribution of the parameters in the model. An example on a two-mode network study shows details of the implementation in the case of a multivariate probit regression setting. A simulation study shows the overall performance of the method, whereas an illustration of the voting behaviour on the US supreme court shows how the 9 justices split in two overlapping sets of justices.
LibGuides: CKLS Grants: CKLS System Grant

Description of grants available through CKLS with links to forms and reports for each grant.
SPE Strong: Strengthening Our Core: Strengthening the Tools and Methods We Use To Disseminate Knowledge to Members

President's column “To collect, exchange, and disseminate technical knowledge” are not only the first seven words of SPE’s mission, but also what our society has excelled at over its storied history. Sharing industry knowledge has allowed members to advance their careers, inspired new technologies, and served as the key differentiator between SPE and other societies. SPE’s technical content is available in many forms, such as manuscripts, journals, newsletters, and webinars. In my October JPT column, I stressed the importance of ensuring this content maintains the highest quality as we continue to transition into new methods of delivering information. Even the highest-quality content will gather dust if not being used by our members. As more young people join our industry, we must be mindful that the way they share and consume information is very different. In 2008, the largest segment of SPE membership was 50 to 54 years old. Ten years later, the demographics have shifted such that 30- to 34-year-olds comprise the largest segment of our membership. This shift has many implications for what SPE needs to do. Through my travels to different sections and student chapters over the past few years, I have been asking three questions: How many regularly read JPT? How many read papers from OnePetro? How many have watched an SPE webinar? It is usually our more senior members that raise their hands to these questions. The average age of our professional membership varies among regions, which means in some locations, I get half, or even far fewer, hands raised in response to my questions. While we still have many members that can remember a world before home computers, in many areas, more of our members have never experienced a world without computers. Many of the students entering university now have never known a world without smart handheld devices and Google. SPE must serve the needs and expectations of the full spectrum of our membership, respecting the differences in how they access and retain information. Our 2005 SPE President, Giovanni Paccaloni, was a champion for the millennial generation and led the creation of the Young Professionals Program as a way to attract and retain them. Similarly, in 2015, then-President Helge Haldorsen launched “SPE 2.0,” a strategy to revise and modernize core programs to keep pace with the industry. This strategy also led to the creation of webinars and the greater accessibility of tools on the SPE website. As Gen Z joins our industry and the digital oil field becomes a reality, SPE must adapt how we collect and disseminate knowledge to reflect the needs and expectations of our changing industry. It is imperative that we demonstrate the value of SPE membership to post-graduation professionals.
I can't share example (data not openly ...

I can't share example (data not openly licensed and participants didn't give permission) but @hypothes_is makes make fav qualitative data analysis tool. You get
SISTEM PERINGATAN DINI BANJIR AIR LAUT MENGGUNAKAN SENSOR ULTRASONIK MELALUI KOMUNIKASI SMS

Seawater flood early warning system serves to inform the public of the occurrence of flood events caused by rising sea water. With an early prevention system, the occurrence of sea water floods can reduce the impact or loss caused by tidal floods. This research aims to make a prototype of an early warning system for tidal flooding. Arduino-based systems use ultrasonic sensors to measure sea water levels. The system is also equipped with a buzzer that serves as an alarm to inform the public of a tidal flood. In addition, an early warning for tidal floods will also be delivered to the public through the SMS (Short Message Service) communication media. From the results of the discussion it was found that the early warning system for seawater flooding using two ultrasonic sensors through the SMS communication media works well. The ultrasonic sensor used is able to measure the height (level) of the water surface from 5 cm to 60 cm. The average percentage of measurement error for the first ultrasonic sensor is 1.125% and for the second ultrasonic sensor is 1.515%. The average percentage of measurement error for both sensors is 1.32%. The level of accuracy of system in measuring the height (level) of the water surface is 98.68%.
Research Guides: Social Emotional Learning Children's Books: Apology & Forgiveness

This guide will help you to locate books in the children's collection which relate to topics of Social Emotional Learning, and is designed to align with the topics covered by the Toolbox SEL curriculum.
Recovering the CTR_DRBG state in 256 traces

The NIST CTR_DRBG specification prescribes a maximum size on each random number request, limiting the number of encryptions in CTR mode with the same key to 4 096. Jaffe’s attack on AES in CTR mode without knowledge of the nonce from CHES 2007 requires 216 traces, which is safely above this recommendation. In this work, we exhibit an attack that requires only 256 traces, which is well within the NIST limits. We use simulated traces to investigate the success probability as a function of the signal-to-noise ratio. We also demonstrate its success in practice by attacking an AES-CTR implementation on a Cortex-M4 among others and recovering both the key and nonce. Our traces and code are made openly available for reproducibility.
Structural Feature Transfer Crossing Categories for Online Comments Based on Public Feature Space

Labeling tasks rely upon classification models. These models have to be trained and adjusted repeatedly before they perform a adequate precision and recall. The modeling is expensive in time and expertise knowledge and dominating only in a particular domain or category. This paper presents a method that, given some corresponding features in a source domain and a target domain, transfers the existing classifier from source domain to target domain. The proposed method is based on ADMI measurement, Word2Vec vectorization and PFS (public feature space) construction. The resulting scheme FTAC accomplishes this transfer when the similarity of source and target domain is higher than a threshold and is capable of successfully introducing the classifier for the source domain to the target domain that are acquired from considerably different online shopping platforms. Experimental results are presented, which demonstrate that the performance of the proposed method compares favorably to that of former approaches.
Remembrance of Things Past and the Path to Digital Tutoring

This report provides a brief and selective history on the use of computers to teach and the ability of these systems to provide more interactive, individualized instruction than can be provided in classroom settings. It covers the development, application, and effectiveness of three instructional techniques that use computers to provide individualized instruction: programmed, frame-based learning; drill and practice; and digital tutoring, with an example from the latter suggesting a possible breakthrough in this technology.
APLIKASI RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PEMBELIAN SECARA TUNAI (STUDI KASUS: CV. PRESTASI GEMILANG JAKARTA)

In this globalization era, services and information that are fast and accurate and in accordance with needs have become a necessity, because of the many benefits that can be obtained from technology, for example, information produced with technology will be more accurate and faster, saving time and costs so that companies can increase revenue . To realize this, it requires a system that has been computerized, as a support for performance in terms of recording goods purchase transactions. Based on direct observations and the results of interviews the problems that occur are the systems used are still manual so that the recording process carried out has several weaknesses, such as the problem of loss of transaction data, a relatively long data search process, no integrated accounting records and timeliness in submitting accounting reports . Visual basic is one application that helps the system become computerized so that it becomes the best solution to solve these problems, so that in the data processing it is neatly organized, well integrated and in making financial reports more accurate.
Virtual Acoustic Spaces Unity Spatializer with custom head trackerThe

The virtual acoustic spaces (VAS) unity spatializer is a plugin for dynamic binaural synthesis for Unity. It can handle impulse responses (IRs) of arbitrary length (limited only by hardware resources). Hence, it is possible to calculate the binaural synthesis not only with head related transfer functions (HRTFs), but also on the basis of binaural room impulse responses (BRIRs). The plugin can also virtualize reflections calculated by raytracing and it is possible to load an individual IR set for each instance. In addition to being compatible with off-the-shelf cross reality (XR) hardware it features a Bluetooth binding for an easily built, custom-made head tracker based on an ESP32 board. It is therefore predestined for audio augmented reality applications.
Bayesian RL in Factored POMDPs.

Robust decision-making agents in any non-trivial system must reason over uncertainty of various types such as action outcomes, the agent's current state and the dynamics of the environment. The outcome and state un- certainty are elegantly captured by the Partially Observable Markov Decision Processes (POMDP) framework [1], which enable reasoning in stochastic, par- tially observable environments. POMDP solution methods, however, typically assume complete access to the system dynamics, which unfortunately are often not available. When such a model is not available, model-based Bayesian Re- inforcement Learning (BRL) methods explicitly maintain a posterior over the possible models of the environment, and use this knowledge to select actions that, theoretically, trade o_ exploration and exploitation optimally. However, few of the BRL methods are applicable to partial observable settings, and those that are, have limited scaling properties. The Bayes-Adaptive POMDP (BA- POMDP) [4], for example, models the environment in a tabular fashion, which poses a bottleneck for scalability. Here, we describe previous work [3] that pro- poses a method to overcome this bottleneck by representing the dynamics with Bayes Network, an approach that exploits structure in the form of independence between state and observation features.
Fra l’occhio e l’orecchio: la questione della forma in Luciano Berio e Paul Klee

According Luciano Berio, in musical listening it is possible to find two elements: the intermediation between sound and image and the manifestation of an otherwise inaccessible and sacred space. But how to justify such intermediation and how to articulate such a manifestation? The notion that can help to elaborate an attempt to answer these questions is that of form, to which Berio dedicated some theoretical essays in the late 1950s and early 1960s, then returning to the subject in the course of subsequent reworkings. Starting from a reconstruction of the meaning of this term in Berio's writings, I will go back to the sources that inspired the composer's reflection (in particular Paul Klee’s theoretical writings) and highlight the relationship between sound and image in the experience of a mysterious space opened by music.
Modular lattice signatures, revisited.

In this paper we revisit the modular lattice signature scheme and its efficient instantiation known as pqNTRUSign. First, we show that a modular lattice signature scheme can be based on a standard lattice problem. The fundamental problem that needs to be solved by the signer or a potential forger is recovering a lattice vector with a restricted norm, given the least significant bits. We show that this problem is equivalent to the short integer solution (SIS) problem over the corresponding lattice. In addition, we show that by replacing the uniform sampling in pqNTRUSign with a bimodal Gaussian sampling, we can further reduce the size of a signature. An important new contribution, enabled by this Gaussian sampling version of pqNTRUSign, is that we can now perform batch verification of messages signed by the same public key, which allows the verifier to check approximately 24 signatures in a single verification process.
The Learning of Social Multistatus Character Genre to Improve Politeness in Javanese Language

This research aimed to develop a learning model of social multistatus character genre in Speaking Class at Department of Study Javanese Language in Universitas Negeri Semarang. This model emphasized the performance of the use of the Java language orally. Students practiced in the form of monologue and dialogue by changing the social status of the character. Changing social status of the character offered to stimulate the application of the rules of the Java language in varied diversity. This study used the Research and Development approach. This study was conducted over 2 years. The first year activity was speaking learning model with the guided of various texts by changing the social status character. The products had been validated by several education of Java language experts. In the second year, seminars and application of these models had been conducted in the Speaking Class. The result showed the model was effective because studentsâ€™ spoken ability increased. Students improved their learning spirit and they participated actively during the learning process.
Testing a cosmological galaxy simulation with unsupervised machine learning

Simulations enables astrophysicists, usually limited to studying observations, to run numerical experiments and test their theories. Simulation results must, though, be tested against observations in order to check how realistic they are. Previous comparisons of galaxy simulations and observations have considered only one or two features at a time (e.g. GSMFs). Using clustering, an unsupervised machine learning technique, invites a comparison that considers more features at a time, so that all aspects of galaxy formation and evolution are captured concurrently. Our work represents the first time that simulations and observations have been compared in this way. We compare simulated and observed galaxies via the k-means clustering algorithm, evaluating the outcomes we find using stability. Simulated galaxies are taken from EAGLE, and observed galaxies from GAMA. We ensure a consistent selection of 5 features for both simulations and observations. We interpret the clusters we find in the context of theories of galaxy evolution.
Pengembangan Pengelolaan Pembelajaran Myob Accounting Berbasis Weblog Di SMK N 1 Sragen

One of the implementation of education 4.0 is the application of Information and Communication Technology in learning. This study aims to describe the development of Weblog-based MYOB Accounting learning management at SMK N 1 Sragen which includes: a) the initial conditions of MYOB Accounting learning management, b) development of Weblog-based MYOB Accounting learning management, c) the feasibility of the MYOB Accounting learning management development model based on Weblogs and d) the effectiveness of developing Weblog-based MYOB Accounting learning management.This research is a R&D research. The development model used is Hannafin and Peck's model, with the stages of analysis of needs, design, development and implementation. Validation of product development is carried out by expert judgment or material and media experts. The research was conducted at SMK N 1 Sragen involving 72 students. Data collection methods include interviews, questionnaires, observations, and documentation. Then the data were analyzed with descriptive analysis techniques, t test and gain test.In this study, the results of the feasibility of material experts in the feasible category and media experts in the very feasible category. The findings in this study are the significance value of the t-count using a Weblog of 29,136 and the significance of the t-count of the lecture method of 15,581. This implies that t count Weblog is greater than t count lecture, meaning that the effectiveness of the experimental class using the Weblog is better than the control class using the lecture method. The results of the study using the N Gain test also obtained the value of the N Gain percent of the control class was 48.98, while the N Gain percent value of the experimental class was 67.33. The conclusion is learning in the experimental class using Weblogs is more effective than the control class using the lecture method.The conclusion of this study is that the Weblog is declared suitable for use in MYOB Accounting learning and is proven effective in improving student learning outcomes in SMK N 1 Sragen.
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

The practical usage of reinforcement learning agents is often bottlenecked by the duration of training time. To accelerate training, practitioners often turn to distributed reinforcement learning architectures to parallelize and accelerate the training process. However, modern methods for scalable reinforcement learning (RL) often tradeoff between the throughput of samples that an RL agent can learn from (sample throughput) and the quality of learning from each sample (sample efficiency). In these scalable RL architectures, as one increases sample throughput (i.e. increasing parallelization in IMPALA), sample efficiency drops significantly. To address this, we propose a new distributed reinforcement learning algorithm, IMPACT. IMPACT extends IMPALA with three changes: a target network for stabilizing the surrogate objective, a circular buffer, and truncated importance sampling. In discrete action-space environments, we show that IMPACT attains higher reward and, simultaneously, achieves up to 30% decrease in training wall-time than that of IMPALA. For continuous control environments, IMPACT trains faster than existing scalable agents while preserving the sample efficiency of synchronous PPO.
Learning Flatness-Based Controller Using Neural Network

Abstract Publisher’s Note: This paper was selected for publication in ASME Letters in Dynamic Systems and Control. https://www.asmedigitalcollection.asme.org/lettersdynsys/article/doi/10.1115/1.4046776/1082074/Learning-Flatness-Based-Controller-Using-Neural