Reviewerly/exHarmony huggingface dataset:
Solving Partial Differential Equations with Monte Carlo / Random Walk on an Analog-Digital Hybrid Computer

Current digital computers are about to hit basic physical boundaries with respect to integration density, clock frequencies, and particularly energy consumption. This requires the application of new computing paradigms, such as quantum and analog computing in the near future. Although neither quantum nor analog computer are general purpose computers they will play an important role as co-processors to offload certain classes of compute intensive tasks from classic digital computers, thereby not only reducing run time but also and foremost power consumption. In this work, we describe a random walk approach to the solution of certain types of partial differential equations which is well suited for combinations of digital and analog computers (hybrid computers). The experiments were performed on an Analog Paradigm Model-1 analog computer attached to a digital computer by means of a hybrid interface. At the end we give some estimates of speedups and power consumption obtainable by using future analog computers on chip.
Undecidability Results and Their Relevance in Modern Music Making

This paper delves into the intersection of computational theory and music, examining the concept of undecidability and its significant, yet overlooked, implications within the realm of modern music composition and production. It posits that undecidability, a principle traditionally associated with theoretical computer science, extends its relevance to the music industry. The study adopts a multidimensional approach, focusing on five key areas: (1) the Turing completeness of Ableton, a widely used digital audio workstation, (2) the undecidability of satisfiability in sound creation utilizing an array of effects, (3) the undecidability of constraints on polymeters in musical compositions, (4) the undecidability of satisfiability in just intonation harmony constraints, and (5) the undecidability of "new ordering systems". In addition to providing theoretical proof for these assertions, the paper elucidates the practical relevance of these concepts for practitioners outside the field of theoretical computer science. The ultimate aim is to foster a new understanding of undecidability in music, highlighting its broader applicability and potential to influence contemporary computer-assisted (and traditional) music making.
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models

Answering multi-hop reasoning questions requires retrieving and synthesizing information from diverse sources. Large Language Models (LLMs) struggle to perform such reasoning consistently. Here we propose an approach to pinpoint and rectify multi-hop reasoning failures through targeted memory injections on LLM attention heads. First, we analyze the per-layer activations of GPT-2 models in response to single and multi-hop prompts. We then propose a mechanism that allows users to inject pertinent prompt-specific information, which we refer to as "memories," at critical LLM locations during inference. By thus enabling the LLM to incorporate additional relevant information during inference, we enhance the quality of multi-hop prompt completions. We show empirically that a simple, efficient, and targeted memory injection into a key attention layer can often increase the probability of the desired next token in multi-hop tasks, by up to 424%.
On the Potential and Limitations of Proxy Voting: Delegation with Incomplete Votes

We study elections where voters are faced with the challenge of expressing preferences over an extreme number of issues under consideration. This is largely motivated by emerging blockchain governance systems, which include voters with different weights and a massive number of community generated proposals. In such scenarios, it is natural to expect that voters will have incomplete preferences, as they may only be able to evaluate or be confident about a very small proportion of the alternatives. As a result, the election outcome may be significantly affected, leading to suboptimal decisions. Our central inquiry revolves around whether delegation of ballots to proxies possessing greater expertise or a more comprehensive understanding of the voters' preferences can lead to outcomes with higher legitimacy and enhanced voters' satisfaction in elections where voters submit incomplete preferences. To explore its aspects, we introduce the following model: potential proxies advertise their ballots over multiple issues, and each voter either delegates to a seemingly attractive proxy or casts a ballot directly. We identify necessary and sufficient conditions that could lead to a socially better outcome by leveraging the participation of proxies. We accompany our theoretical findings with experiments on instances derived from real datasets. Overall, our results enhance the understanding of the power of delegation towards improving election outcomes.
Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips

We tackle the task of reconstructing hand-object interactions from short video clips. Given an input video, our approach casts 3D inference as a per-video optimization and recovers a neural 3D representation of the object shape, as well as the time-varying motion and hand articulation. While the input video naturally provides some multi-view cues to guide 3D inference, these are insufficient on their own due to occlusions and limited viewpoint variations. To obtain accurate 3D, we augment the multi-view signals with generic data-driven priors to guide reconstruction. Specifically, we learn a diffusion network to model the conditional distribution of (geometric) renderings of objects conditioned on hand configuration and category label, and leverage it as a prior to guide the novel-view renderings of the reconstructed scene. We empirically evaluate our approach on egocentric videos across 6 object categories, and observe significant improvements over prior single-view and multi-view methods. Finally, we demonstrate our system's ability to reconstruct arbitrary clips from YouTube, showing both 1st and 3rd person interactions.
From Capture to Display: A Survey on Volumetric Video

Volumetric video, which offers immersive viewing experiences, is gaining increasing prominence. With its six degrees of freedom, it provides viewers with greater immersion and interactivity compared to traditional videos. Despite their potential, volumetric video services poses significant challenges. This survey conducts a comprehensive review of the existing literature on volumetric video. We firstly provide a general framework of volumetric video services, followed by a discussion on prerequisites for volumetric video, encompassing representations, open datasets, and quality assessment metrics. Then we delve into the current methodologies for each stage of the volumetric video service pipeline, detailing capturing, compression, transmission, rendering, and display techniques. Lastly, we explore various applications enabled by this pioneering technology and we present an array of research challenges and opportunities in the domain of volumetric video services. This survey aspires to provide a holistic understanding of this burgeoning field and shed light on potential future research trajectories, aiming to bring the vision of volumetric video to fruition.
Estimation of the Biogenic Silica Content in Lacustrine Bottom Silicate Sediments by X-Ray Diffraction (XRD) and X-Ray Fluorescence (XRF)

In paleoenvironmental work, X-ray diffraction (XRD) and X-ray fluorescence (XRF) are commonly used to quantify the main rock-forming mineral phases and elements in lacustrine deposits. The amorphous phase information of biogenic silica content as an important indicator of environmental change is of special interest in paleoecological investigations. We present the range evaluation technique of amorphous biogenic silica content in lacustrine bottom silicate sediments by integrating XRD and XRF measurements. The technique is based on the rock-forming elemental contents obtained by XRF and crystalline quartz contents determined by XRD and includes a procedure of searching for minimum and maximum silica oxide contents as a component with compliance to the balance of mineral composition and elements content in a sample. The amorphous phase of biogenic silica is defined to be the difference between the content of available silica oxide and that of crystalline quartz. The results are in agreement with the results obtained by wet chemistry digestion. The correlation coefficient between the calculated and determined by wet chemistry values of biogenic silica contents is 0.90. The lower limit of quantitative assessment is approximately 2 wt. %. Although the calculated range of biogenic silica content is larger than its uncertainty obtained by the wet chemistry method, the proposed technique is useful for estimating the variation of biogenic silica content throughout the sediment core depth when XRD and XRF measurements are available.
4.N. Skills building seminar: Making the elevator pitch perfect: how to convince a policymaker in less than 2 minutes

Abstract Since a number of years, the European Public Health Association (EUPHA), the European Public Health Conferences and other oganisations, have been working hard to translate the evidence in a such a format that policymakers take notice. For example, the WHO Regional Office for Europe works on ‘telling the public health narrative' and provides factsheets and infographics, in order to effectively communicate public health messages to policymakers. Over the years, EUPHA has organised several skills building workshops on translation of evidence in the past years. At the European Public Health Conference in Glasgow 2014, so-called pitch presentations were introduced where researchers are asked to present their work in 5 minutes with maximum 5 slides (no animations), as a way to learn to present key messages from research in just a few minutes. Since 2018, EUPHA organises this elevator pitch skills-building exercise with great success. Building forward on two successful and well-attended skills-building sessions, the current workshop will be a follow-up workshop in this series and is about perfecting the elevator pitch. Lessons learned at the previous elevator pitch workshops: Have a clear ask (keep it simple). Appeal to the policymaker's own interests and priorities. Spell out how action will be beneficial for the policymaker. Be aware of upcoming elections. Built a relationship with the assistants of politicians. Considering the ‘policy window'. Make the comparison with the policy plan. Identifying the relevant stakeholders and groups affected by the problem. The importance of effectively communicating the evidence to policymakers is highlighted by infodemics, e.g. last year called out by the WHO and UN in the context of the COVID-19 pandemic with the spreading of mis- and disinformation about the pandemic. In the context of physical distancing measures, the workshop will also cover virtual tactics. As in the era of teleworking (working from home), advocacy has become a whole different kind of sports. In this skills-building session, we will select a number of abstracts from young professionals/students that have been accepted by the International Scientific Committee as posters and we will invite the presenting authors to this dare: Present your work and key messages in less than 2 minutes. In order to see whether the policymaker is convinced, we are organising a small panel of policymakers and ask them to give their feedback. Are they interested? Do they remember the key message? And if all goes well, do you get an invitation to come back and present more of your work? Key messages Being able to present your key messages anywhere, anytime is needed (including virtual tactics). Telling the public health narrative and telling a story are important skills for public health professionals to have.
The Correlation between English Reading Habit and English Reading Comprehension for EFL Students

This research focused in Reading Habit and Reading Comprehension in students' English ability in second grade. The result of data obtained from SMP Negeri 26 Samarinda second grade. There were four classes in second grade, while the number of each class is 32 students. Thus, there were 128 populations in second grade. For this research, the researcher used correlation technique quantitative analysis and simple random sampling to choose the sample until consists of 35 subjects as samples. The instruments used are the questionnaire and reading test. The researcher used a questionnaire and reading test with reading text and questions that the researcher has a choice after the researcher knowing how far skill reading text in second grade and how much valid the result from per question in try out test at Class 8A as the first research. And then, the researcher used a population of Class 8B, 8C, and 8D as secondary research for the tested questionnaire and reading test. There were 35 students chosen as the subject. The result from the correlation test is counted low negative correlation result (-0,358) with sig. p-value &lt;0,05 (0,035). Based on the result of the tests, Ha Hypothesis is accepted and Ho Hypothesis is rejected.&#x0D; &#x0D; Keywords: reading habit; reading comprehension
Orthogonal sparse convolution module for deep neural networks acceleration

&lt;pre&gt;This paper introduces a method to generate a new efficient sparse convolutional module as a substitute for regular convolution layer.In contrast to previous group convolution modules, this module firstly expand the input features to avoid information loss.By a orthogonalization pruning algorithm, only the linearly independent convolution kernels are conserved.This novel orthogonalization pruning algorithm can significantly reduce the redundant information contained in the features by eliminating the kernels' relevance.The reconfigured and fine-tuned module has a competitive accuracy with less computation resources cost comparing to regular convolution.This approach could be implemented in any modern CNN model.&lt;/pre&gt; &lt;pre&gt;The source codes are available at \url{https://github.com/wangjincheng722/OrthSCB&lt;br&gt;&lt;/pre&gt;
Supplemental Material: The spatial association of accessory minerals with biotite in granitic rocks from the South Mountain Batholith, Nova Scotia

Compilation of available experimental petrological data on the solubility of accessory minerals in granitic melts.
Peer review declaration

All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: submissions were received and handled via email • Number of submissions received: 26 • Number of submissions sent for review: 25 • Number of submissions accepted: 14 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 53.8% • Average number of reviews per paper: 1.5 • Total number of reviewers involved: 10 • Any additional info on review process: • Contact person for queries: Jianglian Zhao, Zhengzhou University of Industrial Technology, Zhengzhou, Henan, China(zhaojianglian0505@163.com)
Implementasi Aplikasi Berbasis Mobile Untuk Pelayanan Jasa Kesehatan

Health is one of the important aspects of society's life. Karangampel Health Center is one of the health centers that provide public health services in general. There are several health services provided by the puskesmas including regular medical practices, specialist doctors practices, KIA service practices (Mother and Child Health), and KB service practices. Currently, the queue system at the puskesmas does not yet use the computerization so it is less effective. Many patients who have signed up complain because they don't know for sure the operational schedule at the health center. The purpose of this study was to build a mobile-based computerization application that contains information about the doctor's practice schedule, registering online, the patient's examination history, as well as submitting an online reference letter. The app also had a feature to get an ambulance call quickly. This research method includes observations and System Designers using Systems development of life cycle (SDLC) by the prototype method, and the creation of the system so that it produces a Mobile-based puskesmas information system. Applications are made, then the test is carried out using a black box. The test results result in a value of 80% so it shows that the application is worth using
The application of blockchain and robo-advisors in wealth management literature review

This paper aims to study the blockchain in the field of financial ecology as the carrier, optimize the consensus mechanism, and use intelligent consulting as an analytical means to provide investors with an objective, low-cost asset allocation portfolio. This article begins with an introduction to the features of blockchain decentralization and tamper-proof execution of algorithms, how proof-of-work works, and how tokens can improve welfare and reduce user base volatility. The paper then introduces how robo-advisors work and how they develop. Finally, this paper reviews existing research models on robo-advisors, from the traditional mean-variance model based on Markowitz to the jump-diffusion, regime-switching model, and the Pi portfolio management model that does not require quantifying risk preference coefficients, which this paper discusses and seeks to explore the advantages and limitations between the different models. Based on the existing research gaps, the directions that digital finance can expand in the future are discussed.
Correlation and Impact of Bitcoin with Other Cryptocurrency Portfolios

Bitcoin is a peer-to-peer form of digital currency proposed in 2008. Unlike other currencies, Bitcoin does not rely on a specific institution to issue it, it is based on a specific algorithm that generates it through a large number of calculations. In some countries, government agencies, central banks and academia regard Bitcoin is a virtual currency rather than a currency. This is because of Bitcoins high volatility, which does not have the two basic functions of the unit of account and the store of value that are unique to the currency. In recent years, Bitcoin has seen increasing media coverage and other cryptocurrency portfolios, as well as the significant capital gains have been seen in the high volatility environment. In this paper, we shed light on the low correlation of Bitcoin with traditional investment assets, making Bitcoin a potentially high-quality source of portfolio diversification. The results of the finding suggest that Bitcoin investments offer significant diversification benefits and should be included in optimal portfolios. In addition to this, we find that hedging strategies involving gold, oil, stocks and Bitcoin significantly reduce portfolio risk.
Experiential Learning Approach to Improve Students’ Common Competencies and Attitude towards Agricultural Crop Production

This study focused on the effects of Experiential Learning Approach in improving the students’ common competencies and attitudes towards agricultural activities, among Grade 8 students of Callejon National High School during the S.Y. 2022-2023. The respondents were purposively selected they are taking up Agri crop production as their elective in Technology and Livelihood Education subject. The researcher utilized the descriptive- correlational methods where it considers two entities: pretest and posttest of students the implementation of experiential learning in improving the common competencies students in agricultural crop production and attitude towards agricultural activities. The study utilized pretests/posttest and survey questionnaires as the main data-gathering instruments, t-test was used to determine a significant difference in student’s pretest and posttest score after the implementation of experiential learning, Pearson Product Moment Correlation Coefficient was used to determined relationship between student perception on experiential learning approach and their level of competencies and their attitude after the implementation of agricultural activities. The study revealed that the implementation Experiential Learning helps improved the level of student’s common competencies in agricultural crop production and attitude towards agricultural activities. Finally, it shows that there is significant relationship between students’ attitude and the implementation of experiential learning and utilization of agricultural activities.
Epistemic Freedom of Speech in Practice

It is not uncommon for philosophical arguments justifying normative actions to come unstuck while being bombarded during application in the ‘real world’. Most philosophers and political theorists working in this field will often provide real-world analogies to try and display or draw attention to how their theory works in real-world circumstances to best circumvent this issue. However, despite best efforts, things can get through the cracks—cracks that can grow into giant fissures if not adequately addressed. If epistemic freedom of speech—the free speech justification proffered by John Stuart Mill and those who have been influenced by him—is truly the best we have for our contemporary world, then it must stand up against the onslaught of free speech crises that arise every day in the real world. However, epistemic freedom of speech has some serious problems that must be addressed. Its viability as a suitable justification for freedom of speech is very much called into question once we can view how it operates in real-world conditions.
ADAPTIVE FUZZY STATE OBSERVER BASED ROBUST CONTROLLER FOR A ROBOTIC SYSTEM

In this paper we propose to develop an adaptive type-2 fuzzy robust controller with a stat observer to control a robotic system. For this, we the approximate the system with two type-2 fuzzy systems. To overcome the problem of the state measures, we propose a state observer allowing to converge quickly to the real values and hence guarantees the stability of the closed loop system. The robustness of the closed loop system is ensured by using a modified sliding mode control, where the chattering phenomenon are removed. Simulation results are given to show the efficiency of the proposed approach.
Comparison of Support Vector Machine and Naïve Bayes on Twitter Data Sentiment Analysis

Twitter is a social media that is widely used by the public. Twitter social media can be used to express opinions or opinions about an object. This shows that there is a huge opportunity for data sources, so they can be used for sentiment analysis. There are many algorithms for performing sentiment analysis, including Support Vector Machine (SVM) and Naive Bayes (NB). Because of the many opinions regarding the performance of the two methods, the researcher is interested in classifying the data using the SVM and NB methods. The data used in this study is data on public opinion regarding the Covid-19 vaccination policy. The first classification process is carried out by the SVM method using various kernels. After getting the highest accuracy result, then the accuracy result is compared with the accuracy value from the NB method classification results.