Reviewerly/exHarmony huggingface dataset:
Traditional Treatment Practices Of Fractures In Banda Aceh

The choice of traditional medicine methods as an alternative to treatment is becoming increasingly popular, especially with the recommendation to return to nature. One of the traditional medicine practices that is still often used is the treatment of fractures. This thesis describes the practice of fracture treatment in Banda Aceh City by a broken herbalist, and reveals the factors that cause patients to choose the traditional treatment of fractures. The thesis was written based on ethnographic field research with data collection techniques for in-depth interviews and observations of fracture shamans and patients treated by the broken shaman. The results of this study show that traditional medicine has been carried out for generations. Treatment is carried out using decoctions derived from traditional herbs and spices. The healing process in the practice of fractures is divided into two, namely the healing of light fractures and the healing of severe fractures. A mild fracture takes a short healing time of approximately about a week. As for severe fractures, it takes approximately three months. Patients who have fractures prefer traditional medicine over medical due to economic, social, and cultural factors.
Efektifitas Penggunaan Google Workspace Untuk Pembelajaran Daring Menggunakan Model Delone-Mclean Dan PLS-SEM

The learning system at Tri Arga 2 Jakarta Vocational School has implemented online learning by using Google workspace, especially Google classroom as a learning medium. The problems that occur are obstacles during the learning process, such as the lack of students' understanding of the learning material provided and inadequate signals. The purpose of this study was to analyze the effectiveness of the use of google workspace using the Delone-Mclean and PLS-SEM methods as well as distributing questionnaires to a sample of Tri Arga 2 Vocational High School students in Jakarta. While the research method by applying quantitative methods with a case study approach. The results of the analysis conclude that the use of the Delone-Mclean model in an online learning system with google workspace, has a success percentage value of 37.67%. While the results of the analysis using the PLS-SEM model which was tested using SmartPLS 3.0 software, which has a significant influence with a success rate of 95% and a failure rate of 5%. The software used to analyze the questionnaire data is SPSS 25 and SmartPLS 3.0. It can be said that the results of the analysis of system success using the two methods of Delone-Mclean and PLS-SEM have quite a large difference.
Developing Integrated Multimedia Communication for Deaf Students in Higher Education

Having communication with Deaf students is a challenge for some lecturers. Multimedia provides a potential solution for this situation; however, few people know how to develop it ideally. This study uses primary and secondary data to create a strategic model for multimedia-based learning for Deaf students through focus group discussion with the expert, lecturers, parents, and practitioners. At the same time, however, this model recognises that multimedia communication is not sufficient in and of itself for full engagement with them. This article, thus, proposes implementing several activities within universities based on four stages: identify the level of hard hearing, choose the learning style, design multimedia learning, and create engagement. By developing these strategies, Deaf students in higher education can have a comfortable and effective place to learn to minimize the communication barriers between Deaf student and others. Melakukan komunikasi dengan mahasiswa Tuli merupakan sebuah tantangan bagi para pengajar di pendidikan tinggi. Multimedia merupakan sebuah potensi sebagai solusi dalam situasi ini, hanya saja tidak semua orang memahami dengan baik cara implementasinya secara ideal. Penelitian ini menggunakan data primer dan sekunder untuk menciptakan model strategi berdasarkan pembelajaran berbasis multimedia untuk mahasiswa Tuli melalui diskusi kelompok dengan pihak yang berpengalaman, dosen, orang tua, dan juga praktisi di bidang ini. Pada saat bersamaan, model ini juga melihat bahwa komunikasi multimedia tidak cukup untuk membangun hubungan kedekatan dengan mahasiswa Tuli. Melalui artikel ini, peneliti mengajukan empat tahap pelaksanaan aktivitas di pendidikan tinggi yakni: identifikasi level Tuli, pemilihan gaya mengajar, desain multimedia, dan pembentukan hubungan. Melalui strategi ini, mahasiswa Tuli merasakan pendidikan tinggi dengan lebih nyaman dan efektif yang mampu mengurangi hambatan komunikasi antara mereka dengan yang lain.
Program Literasi Berbasis Web Sebagai Upaya Menumbuhkan Budaya Literasi Masyarakat Kelurahan Nagarasari Di Kota Tasikmalaya Jawa Barat

The low literacy of the Indonesian people is a situation which is inversely proportional to the age of the Indonesian people who have developed that should have the same literacy levels as other developing countries, but Indonesia is still far behind as a survey conducted by UNESCO in 2016. This situation can occur due to internal and external factors. One of external factors is the lack of public services related to education, both formal and informal. It also happened in Nagarasari Village in the City of Tasikmalaya, West Java. In the city of Tasikmalaya, there found a community reading park (TBM), but it has not been yet productive in providing literacy programs to the surrounding community. Even though the existence of community reading parks in the community is a part of education. Knowing this phenomenon, it is necessary to have an effective solution to develop and advance the welfare of society. This community service activity is carried out using real action activities methods, namely web-based literacy programs by collaborating between teaching, training, community development, and web-based literacy programs in the community. It is hoped that this activity can foster a culture of community literacy, hence this can be a useful solution in the community to encourage improvements in quality of life, creativity, independence, and competitiveness in the future
Optimalisasi Manajemen Keuangan Menggunakan Sistem Excel pada Buku Kas Koperasi Simpan Pinjam Tamara di Desa Tamansari Kecamatan Tegalsari Kabupaten Banyuwangi

The objectives of this service work program are 1) Maximizing a comprehensive understanding of financial management using the excel system for BUMDes managers; 2) BUMDes managers can use the excel system to make it easier and save time in terms of service and bookkeeping for each transaction. This service is carried out in the savings and loan business unit that manages the TAMARA BUMDes, Tamansari Village, Tegalsari District, Banyuwangi Regency. The approach used is the PAR approach. The results of the service prove that the use of the excel financial system can make it easier for BUMDes managers of savings and loan units so that they can avoid mistakes and make financial transactions easier.
MANAGEMENT OF FACILITIES AND INFRASTRUCTURE IN AL AZHAR 12 ISLAMIC JUNIOR HIGH SCHOOL RAWAMANGUN EAST JAKARTA

The purpose of this study was to determine the management of facilities and infrastructure as seen from the planning, procurement, and elimination of educational facilities and infrastructure in Al Azhar 12 Islamic Middle School, East Jakarta. This research was conducted in early January to January 2020. This study used a qualitative approach with descriptive methods. Data collection techniques are done by interview, observation, and study documentation. Sources of data from this study are the Principal, Deputy Principal, Facilities and Infrastructure Staff, Laboratory Staff of Natural Sciences.&#x0D; The results of the study concluded that; (1) planning educational facilities and infrastructure include: making needs analysis, setting priorities by holding work meetings (RAKER) in schools, preparing budgets, and ratifying the RAPBS, (2) procurement of educational facilities and infrastructure including: submitting a letter of request for procurement of goods to foundations, foundations and schools revisit the specifications of goods and available budgets, the purchasing department surveys the price of goods and makes purchase orders (PO) to suppliers, purchases vouchers, purchases, distributes goods, and (3) maintenance is self awareness respectively.
EVALUASI PROGRAM KARTU JAKARTA PINTAR (KJP) DI SMAN 22 JAKARTA TIMUR DENGAN PENDEKATAN CIPP

To increase student learning opportunities up to high school level, the DKI Jakarta government provides the Jakarta Smart Card (KJP) program for people who are classified as poor. Evaluation on the implementation of this program needs to be done to see the extent of program success. This study aims to look at the evaluation of the KJP program at SMA Negeri 22 Jakarta using the CIPP (Context, Input, Process, Output) method. The results showed that SMAN 22 had run the KJP program very well. The results of the evaluation on context aspect shows a very good result with 85% of implementation. The input aspects have been carried out 80% with good categories. The process aspect is running well with a percentage of 80% of the plan, and the product evaluation (output) aspect also reaches 80% of the specified criteria. The study also recommends that there should be an officer from provincial government officials to conduct home visit program to maintain the quality of KJP implementation.&#x0D; &#x0D;
PEMBELAJARAN LITERASI KEBENCANAAN BERBASIS DIGITAL BAGI REMAJA DI DAERAH TERPENCIL

This study aims to develop a conceptual digital literacy learning for adolescents in remote communities; Designing digital literacy learning activities for youth in remote communities; and knowing the evaluation of digital literacy learning This research procedure was carried out by adapting the ILDF (Integrated Learning Design Framework) development procedure model. This model consists of three stages, namely Explorating, Enactment and Evaluation. This research was conducted in Pabuaran Village, Sukamakmur District, Bogor Regency.for adolescents in remote communities.The step of the development model begins with exploring, at this stage the developer identifies the need for distance learning due to the large number of trainees who experience difficulties in participating in learning activities in face-to-face, especially for teenagers who live in remote areas, the selection of the Moodle platform, this is because Moodle has an application in the form of Moodle Mobile which can be accessed via android phone. In the Enactment stage, at this stage the developer begins to design disaster literacy learning using the Mobile Modeling Model, compile prototypes and develop the learning in detail. The last stage is Evaluation, Testing material experts and media experts. Material experts give the results of the percentage of the feasibility of learning materials of 93.75%. Media testing gives the results of the feasibility percentage of 79.9%. The test on the small group test of the trainees got a result of 86.97% which means it is very feasible to use. This study provides suggestions that facilities and infrastructure must be available properly. The required facilities such as an adequate and stable internet network and an android phone with a minimum android version of Lollipop that must be owned by all disaster literacy training participants.
Adaptive Estimators Show Information Compression in Deep Neural Networks

To improve how neural networks function it is crucial to understand their learning process. The information bottleneck theory of deep learning proposes that neural networks achieve good generalization by compressing their representations to disregard information that is not relevant to the task. However, empirical evidence for this theory is conflicting, as compression was only observed when networks used saturating activation functions. In contrast, networks with non-saturating activation functions achieved comparable levels of task performance but did not show compression. In this paper we developed more robust mutual information estimation techniques, that adapt to hidden activity of neural networks and produce more sensitive measurements of activations from all functions, especially unbounded functions. Using these adaptive estimation techniques, we explored compression in networks with a range of different activation functions. With two improved methods of estimation, firstly, we show that saturation of the activation function is not required for compression, and the amount of compression varies between different activation functions. We also find that there is a large amount of variation in compression between different network initializations. Secondary, we see that L2 regularization leads to significantly increased compression, while preventing overfitting. Finally, we show that only compression of the last layer is positively correlated with generalization.
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval

In this paper we propose a novel method for zero-shot, cross-domain image retrieval in which we make two key contributions. The first is a test-time re-ranking procedure that enables query-gallery pairs, without meaningful shared visual features, to be matched by incorporating gallery-gallery ranks into an iterative re-ranking process. The second is the use of cross-attention at training time and knowledge distillation to encourage cross-attention-like features to be extracted at test time from a single image. When combined with the Vision Transformer architecture and zero-shot retrieval losses, our approach yields state-of-the-art results on the Sketchy and TU-Berlin sketch-based image retrieval benchmarks. However, unlike many previous methods, none of the components in our approach are engineered specifically towards the sketch-based image retrieval task - it can be generally applied to any cross-domain, zero-shot retrieval task. We therefore also show results on zero-shot cartoon-to-photo retrieval using the Office-Home dataset.
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces

Neural rendering of implicit surfaces performs well in 3D vision applications. However, it requires dense input views as supervision. When only sparse input images are available, output quality drops significantly due to the shape-radiance ambiguity problem. We note that this ambiguity can be constrained when a 3D point is visible in multiple views, as is the case in multi-view stereo (MVS). We thus propose to regularize neural rendering optimization with an MVS solution. The use of an MVS probability volume and a generalized cross entropy loss leads to a noise-tolerant optimization process. In addition, neural rendering provides global consistency constraints that guide the MVS depth hypothesis sampling and thus improves MVS performance. Given only three sparse input views, experiments show that our method not only outperforms generic neural rendering models by a large margin but also significantly increases the reconstruction quality of MVS models. Project page: https://hao-yu-wu.github.io/s-volsdf/.
Teru Teru Bōzu: Defensive Raincloud Plots

Univariate visualizations like histograms, rug plots, or box plots provide concise visual summaries of distributions. However, each individual visualization may fail to robustly distinguish important features of a distribution, or provide sufficient information for all of the relevant tasks involved in summarizing univariate data. One solution is to juxtapose or superimpose multiple univariate visualizations in the same chart, as in Allen et al.'s "raincloud plots." In this paper I examine the design space of raincloud plots, and, through a series of simulation studies, explore designs where the component visualizations mutually "defend" against situations where important distribution features are missed or trivial features are given undue prominence. I suggest a class of "defensive" raincloud plot designs that provide good mutual coverage for surfacing distributional features of interest.
Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer

Unsupervised Domain Adaptation (UDA) can effectively address domain gap issues in real-world image Super-Resolution (SR) by accessing both the source and target data. Considering privacy policies or transmission restrictions of source data in practical scenarios, we propose a SOurce-free Domain Adaptation framework for image SR (SODA-SR) to address this issue, i.e., adapt a source-trained model to a target domain with only unlabeled target data. SODA-SR leverages the source-trained model to generate refined pseudo-labels for teacher-student learning. To better utilize pseudo-labels, we propose a novel wavelet-based augmentation method, named Wavelet Augmentation Transformer (WAT), which can be flexibly incorporated with existing networks, to implicitly produce useful augmented data. WAT learns low-frequency information of varying levels across diverse samples, which is aggregated efficiently via deformable attention. Furthermore, an uncertainty-aware self-training mechanism is proposed to improve the accuracy of pseudo-labels, with inaccurate predictions being rectified by uncertainty estimation. To acquire better SR results and avoid overfitting pseudo-labels, several regularization losses are proposed to constrain target LR and SR images in the frequency domain. Experiments show that without accessing source data, SODA-SR outperforms state-of-the-art UDA methods in both synthetic$\rightarrow$real and real$\rightarrow$real adaptation settings, and is not constrained by specific network architectures.
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations

The abundance of instructional videos and their narrations over the Internet offers an exciting avenue for understanding procedural activities. In this work, we propose to learn video representation that encodes both action steps and their temporal ordering, based on a large-scale dataset of web instructional videos and their narrations, without using human annotations. Our method jointly learns a video representation to encode individual step concepts, and a deep probabilistic model to capture both temporal dependencies and immense individual variations in the step ordering. We empirically demonstrate that learning temporal ordering not only enables new capabilities for procedure reasoning, but also reinforces the recognition of individual steps. Our model significantly advances the state-of-the-art results on step classification (+2.8% / +3.3% on COIN / EPIC-Kitchens) and step forecasting (+7.4% on COIN). Moreover, our model attains promising results in zero-shot inference for step classification and forecasting, as well as in predicting diverse and plausible steps for incomplete procedures. Our code is available at https://github.com/facebookresearch/ProcedureVRL.
Verbal Taboos in Acehnese Language: Meaning, Function, and Euphemism

This research is aimed to list verbal taboo of Acehnese language and to explain reasons behind then to create a model of language revitalization as well as to propose the pattern of euphemism in maintaining norms and values to minimize language conflict. The research is qualitative description in which the data was taken by recording technique, note-taking technique on the conversations of residents at the location in Banda Aceh. The findings of the research are taboo words in Acehnese language, they are: 1) Bodies and their effluvia (toh èk replaced to jak u likôt, lagèe èk leubô should be unsaid/unspoken); 2) The organs and acts of sex, micturition and defecation (boh krèh, aneuk tét should be unsaid/unspoken, mik/mom replaced gunong); 3) Diseases, death and killing including hunting and fishing (maté replaced to meuninggai, ka geutinggai geutanyoe, ka geuwoe bak Allah, lé that eungkôt replaced to na rezeki uroe nyoe, cacar replaced to sakét mangat) ; 4) Naming, addressing, touching and viewing persons and sacred beings, objects and places (du replaced to ayah/abu/abi/bapak, ma relapced to mak/umi/mami/bunda, kah replaced to kak/cupo/da, nan replaced to aduen/abang/bang, macut/makcék, mawa, deumi Allah should be unsaid/unspoken, aneuk haramjadah should be unsaid/unspoken, buya replaced to teungku waki, tikôh replaced to nyak ti/po ti, rimueng replaced to nèk/yah nek/rumpoe tempat, gajah replaced teungku rayek); and 5) Food gathering, preparation and consumption (it is not found). This study implies to create the euphemism formulas in avoiding language conflict, then the study of taboo is not seen just only from linguistical aspect but also from culture and human’s habit by discussing taboos from sociolinguistic as well as pragmasemantic.
Complexity analysis of weakly noisy quantum states via quantum machine learning

Quantum computers capable of fault-tolerant operation are expected to provide provable advantages over classical computational models. However, the question of whether quantum advantages exist in the noisy intermediate-scale quantum era remains a fundamental and challenging problem. The root of this challenge lies in the difficulty of exploring and quantifying the power of noisy quantum states. In this work, we focus on the complexity of weakly noisy states, which we define as the size of the shortest quantum circuit required to prepare the noisy state. To analyze this complexity, we first establish a general relationship between circuit depth, noise model, and purity. Based on this necessary condition, we propose a quantum machine learning (QML) algorithm that exploits the intrinsic-connection property of structured quantum neural networks. The proposed QML algorithm enables efficiently predicting the complexity of weakly noisy states from measurement results, representing a paradigm shift in our ability to characterize the power of noisy quantum computation.
On triangular biregular degree sequences

A simple graph is called triangular if every edge of it belongs to a triangle. We conjecture that any graphical degree sequence all terms of which are greater than or equal to 4 has a triangular realisation, and establish this conjecture for a class of biregular graphical degree sequences.
Development and Demonstration of an Efficient Readout Error Mitigation Technique for use in NISQ Algorithms

The approximate state estimation and the closely related classical shadows methods allow for the estimation of complicated observables with relatively few shots. As these methods make use of random measurements that can symmetrise the effect of readout errors, they have been shown to permit simplified approaches to readout error mitigation which require only a number of samples that scales as $\mathcal{O}(1)$ with increasing numbers of qubits. However, these techniques require executing a different circuit at each shot, adding a typically prohibitive amount of latency that prohibits their practical application. In this manuscript we consider the approximate state estimation of readout-mitigated expectation values, and how to best implement that procedure on the Rigetti quantum computing hardware. We discuss the theoretical aspects involved, providing an explicit computation of the effect of readout error on the estimated expectation values and how to mitigate that effect. Leveraging improvements to the Rigetti control systems, we then demonstrate an efficient implementation of this approach. Not only do we find that we can suppress the effect of correlated errors and accurately mitigate the readout errors, we find that we can do so quickly, collecting and processing $10^6$ samples in less than $1.5$ minutes. This development opens the way for practical uses of methods with this type of randomisation.