Reviewerly/exHarmony huggingface dataset:
SISTEM INFORMASI PELAYANAN MASYARAKAT BERBASIS ANDROID PADA KANTOR DESA KALIBA MAMASE

The problem in this thesis research is how to design an Android-Based Community Service Information System at the KalibaMamase Village office. Information Systems for Community Services are based on the system using Black Box Testing and the accuracy of the information system is based on user testing. The research objective is to design and build a Village-level Community Service Information System in order to improve the quality of services for village staff and the use of services for local villagers. The benefit obtained from this research is to make a new innovation for each village to be able to facilitate serving residents or residents in the application for letters. This research uses the life cycle model of the Waterfall system development and the design of an Android-based population service information system. Data collection methods in this study use the method of observation, interviews, and data analysis. The conclusion of the research is that the Community Service Information System can facilitate the process of correspondence services in the Village apparatus as well as the use of services for the community in managing population and obtaining information at the Village Office. In the Android-Based Community Service Information System at the Kaliba Mamase Village Office
&lt;i&gt;On the Infinite Regress of a Speaker’s Intentions&lt;/i&gt;

Intention-based semantics (IBS) serves as the paradigm in the field of speaker meaning analysis. However, it has grappled with a well-known problem: the infinite regress of a speaker's intentions. Theorists such as Grice, Schiffer, Davis, and Green have tried to remedy the situation; however, no one has found any solutions until now. The present paper claims that the inability of IBS theorists to resolve the regress problem may be attributed to the conflict between two basic assumptions that they espouse: representationalism and the transparency of speaker meaning. When both are adopted alongside each other, as the current paper shows, the regress problem immediately emerges. It follows, then, that it would be prudent to reject IBS to sufficiently analyze speaker meaning.
A Probability Distribution and Location-aware ResNet Approach for QoS Prediction

In recent years, the number of online services has grown rapidly, invoke the required services through the cloud platform has become the primary trend. How to help users choose and recommend high-quality services among huge amounts of unused services has become a hot issue in research. Among the existing QoS prediction methods, the collaborative filtering(CF) method can only learn low-dimensional linear characteristics, and its effect is limited by sparse data. Although existing deep learning methods could capture high-dimensional nonlinear features better, most of them only use the single feature of identity, and the problem of network deepening gradient disappearance is serious, so the effect of QoS prediction is unsatisfactory. To address these problems, we propose an advanced probability distribution and location-aware ResNet approach for QoS Prediction(PLRes). This approach considers the historical invocations probability distribution and location characteristics of users and services, and first use the ResNet in QoS prediction to reuses the features, which alleviates the problems of gradient disappearance and model degradation. A series of experiments are conducted on a real-world web service dataset WS-DREAM. The results indicate that PLRes model is effective for QoS prediction and at the density of 5%-30%, which means the data is sparse, it significantly outperforms a state-of-the-art approach LDCF by 12.35%-15.37% in terms of MAE.
Abstraction, Generalization, and Embodiment in Neural Program Synthesis

Author(s): Shin, Eui Chul | Advisor(s): Son, Dawn | Abstract: Program synthesis, or automatically writing programs from high-level specifications has been a long-standing challenge in computer science and artificial intelligence. Addressing this challenge can help unlock the full power of computing to nontechnical users, assist existing developers on traditional programming tasks, and solve other tasks in artificial intelligence like question answering that are naturally expressible as programs. In recent years, neural methods for program synthesis based on learning have driven significant progress. With this shift, themes like abstraction, generalization, and embodiment that recur in other facets of machine learning provide a natural framework for further improvement. In this dissertation, we present methods to address manifestations of these themes in several concrete instantiations of neural program synthesis.First, we demonstrate how to better synthesize imperative programs by interacting with the program interpreter environment in the form of predicted execution traces, in a challenging domain for program synthesis called Karel. We also show in empirical studies that generating synthetic data for program synthesis requires significant care to enable models to generalize. In an application of program synthesis from natural language, or semantic parsing, we present attention-based neural architectures that can better encode the natural language specification to enable better generalization to new database domains. In this and other code generation domains, we introduce a method for integrating automatically learned code idioms into the synthesis procedure, learning to automatically switch between multiple levels of abstraction.
Scicurious as method:

Could COVID-​19, this unexpected crisis, act as a comma 6 in a co-​research-​creation project to become a breathing space and not a full stop? Maybe this pause is a colon: the two different periods of the project (and life in general) on either side of the pandemic, equally important and dependent on each other for full meaning. In this chapter, we tell the story of how a co-​research-​creation event (the Sci Curious Project) unfolded before and during the COVID-​19 pandemic 7 ; the lead-​up to its irruption (St. Pierre, 1997) and then what came after. ‘Scicurious as method’ emerged out of the unexpected pause and recalibration of the project; a method that emphasizes the creation of research spaces that activate scicuriosity in situated practice. We understand scicuriosity as emerging from collaborative research-​creation events that ignite curiosity and creativity. Scicurious as method is presented through an encounter with speculative fiction and scicurious zine travels. Scicurious as method has significant ethical implications, these reify the potential of co-​designed speculative inquiries with creativity and curiosity at their heart. This is, in part, due to its contingency on cultivating digital co-​research-​creation spaces that enfold rather than eschew the analogue and highlight the joyous potential of a deeply situated, co-​designed speculative inquiry; an inquiry with galleries, libraries, archives and museums (GLAM) young people living in a pandemic.
Linear Dilation-Erosion Perceptron for Binary Classification

In this work, we briefly revise the reduced dilation-erosion perceptron (r-DEP) models for binary classification tasks. Then, we present the so-called linear dilation-erosion perceptron (l-DEP), in which a linear transformation is applied before the application of the morphological operators. Furthermore, we propose to train the l-DEP classifier by minimizing a regularized hinge-loss function subject to concave-convex restrictions. A simple example is given for illustrative purposes.
Optimizing and Characterizing Measurement-Only Topological Quantum Computing with Majorana Zero Mode Based Qubits

Quantum computing is a revolutionizing technology on many fronts. Topological quantum computing is an especially attractive platform for this due to its innate robustness to local sources of noise and scalability. As the advent of quantum computing technologies nears, it becomes increasingly important to both optimize as much as possible the basic operations and to characterize them. In this thesis we study measurement-only topological quantum computing with Majorana zero mode (MZM) based qubits, particularly on their incarnation as the boudnary defects of $1d$ topological superconducting nanowires. The specific qubit device we consider are comprised of collections of such wires connected together on a single island such that 4 or 6 MZMs are hosted (tetron and hexon qubits respectively).This thesis focuses on optimizing and characterizing the basic operations needed for quantum computing with such MZM qubits, concentrating on hexons which are the smallest MZM qubit allowing measurement-only gates on a single island. We begin by optimizing the Clifford gates for a single hexon qubit and for the controlled-Pauli, $\mathsf{W}$, and $\mathsf{SWAP}$ gates on two hexon qubits. A brute-force searched is performed with respect to a physically motivated example cost function. Tools and techniques are developed to aid in the compiling and optimization of measurement sequences. Utilizing the developed tools, we apply it towards the optimization of the stabilizer measurements for the surface code, an especially useful quantum error correcting code for the present MZM setting. Finally, we discuss adapting the technique of randomized benchmarking to the hexon setting, addressing simplifications and extensions that a hexon qubit can offer.
An indoor positioning system for monitoring the behaviour of older people in their homes

The increase in older people wishing to live alone in their own homes has increased studies of monitoring systems to improve the quality of life of older people, their families and cares. The aim of the communication is to present the results of the evaluation of the degree of acceptability and satisfaction with the Senior Monitoring application. At the end of the study, an acceptability scale was passed to the 11 elderly participants (six women and five men) with an average age of 68 years and a standard deviation of 8 years. The scale consists of six Likert items with five response categories that assess two dimensions: usability and satisfaction. The average usability was 12.18 points (SD = 1.99) and the average satisfaction was 12.91 points (SD = 2.21); quite high values. As a qualitative assessment, several people expressed the wish that the device would be able to place the person away from home. The Senior Monitoring application has been evaluated satisfactorily by the study participants. New studies are opened in the use of conversational devices that allow the evaluation of aspects such as loneliness, depression, well-being through the analysis of behavioral data collected at home through conversational devices.Biography:Antonio Caballer has completed his PhD from Jaume I University. He is an Associate Professor in the Department of Developmental, Educational and Social Psychology and Methodology of Jaume I University. He has published in reputed journals and has been working in different projects about older adults. He is interested in assessing loneliness and social isolation with Information and Communication Technologies.Speaker Publications: Global Coalition on Aging. Relationship-Based Home Care: A Sustainable Solution for Europe’s Elder CareCrisis; Technical Report; Global Coalition on Aging: New York, NY, USA, 2018.Eisa, S.; Moreira, A. A Behaviour Monitoring System (BMS) for Ambient Assisted Living. Sensors 2017, 17, 1946.Studenski, S. Gait Speed and Survival in Older Adults. JAMA 2011, 305, 50. Wilson, J.; Patwari, N. Radio Tomographic Imaging with Wireless Networks. IEEE Trans. Mob. Comput. 2010, 9, 621–632.      Pirker, W.; Katzenschlager, R. Gait Disorders in Adults and the Elderly: A Clinical Guide. Wien. Klin. Wochenschr. 2017, 129, 81–95. 10th International Conference on Geriatrics, Gerontology & Elderly Care; Webinar- September 23-24, 2020. Abstract Citation: Antonio Caballer, An indoor positioning system for monitoring the behavior of older people in their homes, Geriatrics 2020, 10th International Conference on Geriatrics, Gerontology & Elderly Care; Webinar- September 23-24, 2020        (https://geriatrics-gerontology.insightconferences.com/speaker/2020/antonio-caballer-jaume-i-university-spain)
Channel Tiling for Improved Performance and Accuracy of Optical Neural Network Accelerators

Low latency, high throughput inference on Convolution Neural Networks (CNNs) remains a challenge, especially for applications requiring large input or large kernel sizes. 4F optics provides a solution to accelerate CNNs by converting convolutions into Fourier-domain point-wise multiplications that are computationally 'free' in optical domain. However, existing 4F CNN systems suffer from the all-positive sensor readout issue which makes the implementation of a multi-channel, multi-layer CNN not scalable or even impractical. In this paper we propose a simple channel tiling scheme for 4F CNN systems that utilizes the high resolution of 4F system to perform channel summation inherently in optical domain before sensor detection, so the outputs of different channels can be correctly accumulated. Compared to state of the art, channel tiling gives similar accuracy, significantly better robustness to sensing quantization (33\% improvement in required sensing precision) error and noise (10dB reduction in tolerable sensing noise), 0.5X total filters required, 10-50X+ throughput improvement and as much as 3X reduction in required output camera resolution/bandwidth. Not requiring any additional optical hardware, the proposed channel tiling approach addresses an important throughput and precision bottleneck of high-speed, massively-parallel optical 4F computing systems.
Ethical Computing for Mitigating Hyperconnectivity Threats

Many of the problems arising from a technology-driven information-intensive environment that could have been avoided occur because we are either insensitive to or ignorant of their ethical implications. Consequently, data protection remains a chronic, expensive nightmare despite the big speeding on cybersecurity. Ethical computing can play a role in identifying the ethical issues, key stakeholders, and reaching a near-ideal solution vis-à-vis an ideal solution. Hyperconnectivity threats that inherit all the IoT threats plus all the vulnerabilities of the physical objects and virtual subsystems that IoT connects (subsumed under the heads of security and privacy) to serve some purposeful objectives change not the environment but intensify the urgency for a remedy. Ethical computing is assistive in reaching that near-ideal solution.
Mineralogy and petrography of the Keban Pb-Zn-(Cu) skarn deposit, Elazi&#287;, eastern Turkey

&amp;lt;p&amp;gt;The Keban Pb-Zn-(Cu) skarn deposit in the Elaz&amp;amp;#305;&amp;amp;#287; region, Turkey, was formed at the contact zone of the Permo-Triassic metamorphics and the Late Cretaceous plutonic rocks in the Eastern Taurus orogenic belt. The mineralization is hosted by skarn and meta-clastic/carbonate rocks of the Keban Metamorphics intruded by alkali syenite porphyry, which is associated with the Pb-Zn-(Cu) mineralization. The rock units in the region are partly hydrothermally altered graphite calc-schist containing crystallized limestone interlayers and lenses, meta-pellitic rocks (phylitte/calc-phyllite), dolomitic limestone, calc-silicate hornfels, marble and plutonic rocks. Calc-silicate hornfels is an initial metamorphic product occurred in contact zone of the intrusive unit. Results of mineralogical studies indicate that garnet and pyroxene-rich skarn formed in early (prograde) stage of skarnization whereas epidote, chlorite, tremolite, phlogopite, muscovite, calcite, quartz and fluorite are typical minerals of the retrograde stage. Using the Raman spectroscopy investigations, garnets in alteration zone are subdivided into two groups. Garnets in andradite composition are zoned and occur close to the intrusion reflecting high-temperature conditions and those of grossular composition represent low-temperature conditions. The sill/dykes and stock-like Keban plutonic rocks hosting foid syenite porphyry and nepheline syenite are of holocrystalline hipidiomorph porphyritic texture including large nepheline and plagioclase phenocrysts. Metallic minerals comprise sphalerite, galena, chalcopyrite, magnetite, bornite, pyrite, fahlore and hematite, which mainly occur as dissemination, vein and massive forms and crosscut by late-stage quartz, fluorite and calcite veinlets. Sphalerite is medium-coarse grained, semi-euhedral and contain chalcopyrite inclusions. Blebs of chalcopyrite are widely recognized in sphalerite (chalcopyrite disease). Galena replaces sphalerite and in some cases, it hosts several sulfo-salt minerals. Magnetite partly or completely transforms to limonite and chalcopyrite inclusions in sphalerite occur among the magnetite grains.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Key words: &amp;lt;/strong&amp;gt;Keban, Pb-Zn-(Cu) skarn deposits, Mineralogy, Petrography, Ore Microscopy, Raman Spectroscopy&amp;lt;/p&amp;gt;
STUDY OF SCIENTIFIC RESEARCH CULTURE OF FUTURE MUSIC TEACHERS IN EUROPEAN COUNTRIES

Object. In the article taking into account forming of European educational space orientated on rapprochement of the systems of training of pedagogical personnels in the countries of European union, actuality of the research-oriented studies as innovative is grounded. Methods. On the basis of comparativist analysis the different vectors of refraction of theoretical and practical experience are considered in relation to forming of scientifically-research culture of teachers, future teachers of musical art, in European countries (To Germany, Poland, Great Britain). Results. It was found that in the European pedagogical space there is a significant number of teacher training programs «teacher-scientist», «teacher-researcher», «teacher who reflexively self-governs», «teacher - reflexive practice». In these programs, the conditions for organizing the training of future teachers, the nature of educational interaction are transformed and subject to the requirements of research. The German pedagogical system is based on W. Humboldt’s concept of higher education and determines that the specialty «music teacher» is based on three «whales» - creativity, science and pedagogy. It is established that in Poland the master’s research is considered as a didactic category in art education and requires different ways of organizing scientific and pedagogical guidance; in the Great Britain, the education and development of a teacher-researcher, a thinking practitioner, is a personal marker of his competence and professionalism. Conclusions. Factors influencing the development of critical, interdisciplinary, analytical, methodological thinking of the future specialist and creating the necessary foundation for the formation of his research culture are identified. This is raising the level of scientific and methodological education, the fundamentalization of the educational space, its «learning», the intensification of research, reflection, innovative forms of learning.
THE USING OF PAKEM APPROACH ON THE ACTIVITY OF STUDENT LEARNING ENGLISH

This study was aimed to know the teaching method of the teacher, and to know the active learning of students in the classroom. The research method used in this research was a descriptive study. The population of this research was the sixth grade of SD Kartika XX-I Makassar with the sample consist of 26 students. Data collection is taken by giving the test. The students were asked to rearrange the picture in groups. The results found that the method used by teachers is PAKEM method. The result of the average score is 75.05 with a standard deviation of 16.2. It is known that the range of values of 80-100 are 7 people (26.9%) with excellent category, 66-79 ranges of 6 (23.1%) with good category, the range of values 56-65 is 3 (11, 5%) with moderate category, 40-55 value ranges were 6 persons (23.1%) with the category of less, 30-39 score range was 4 persons (15,4%) with failed category. It can be concluded that student activeness in class is good.
PrEazy : A Road Map from Traditional Prescription System To Digital Prescription System

Fake Prescriptions have emerged lately becoming hazardous for people’s lives; bringing their lives at stake. Drugs like Schedule-H cannot be bought without a doctor's consent and thus cases of such drugs being bought with the help of fake prescriptions have become very common today. Sometimes pharmacists find it hard to identify the medicine names from handwritten descriptions and it may eventually lead to misinterpretation of the prescribed medicine name. We provide a solution to this problem. PrEazy is an android application that provides secured and digital prescriptions such that it reduces the use of fake prescriptions. Also, it is a Paperless Technology making it Environment-Friendly. This application is digital prescription software which transmits communication between doctor, patient and pharmacist.
Temperature Annual Cycle Variation and Response to Solar Radiation during 1960 to 2016 in China

&amp;lt;p&amp;gt;The change of its annual cycle is extremely important due to global warming. A widely used method to analyze the changes of temperature annual cycle is based on the decomposition to phase, amplitude and baseline terms. Solar radiation as the leading energy source of temperature changes can directly influence temperature annual cycle. In this study, we investigate the phase, amplitude and baseline of temperature and solar radiation annual cycle after Fourier transform during 1960-2016 in China. The results show that annual cycle of maximum, minimum and mean surface air temperature are advancing in time (-0.08, -0.27 and -0.33 days per ten years), decreasing in range (-0.07, -0.25 and -0.18 degrees per ten years) and rising in baseline (0.20, 0.34 and 0.25 degrees per ten years). To further quantify the effect of surface solar radiation to temperature, we remove the effect from its original time series of maximum and mean temperature, based on a linear regression. The compare of raw and adjusted temperature shows that surface solar radiation advancing the time by 0.19 and 0.19 days per ten years, reduces the range by 0.14 and 0.13 degrees per ten years, and reduces the baseline by 0.08 and 0.04 degrees per ten years, for surface maximum and mean daily air temperature. The result can explain parts of seasonal temperature variation. Effect of surface solar radiation is most obvious Yunnan-Guizhou Plateau for maximum phase. The low phase value in this area is corrected and well-match with other same latitude area after adjusted.&amp;lt;/p&amp;gt;
Hiding Files in Image Files Using the Steganography Method

The need for communication in the digital era at this time makes the insertion of information applicable to digital files / media such as images, video, audio and text. Steganography inserts a secret message in a file / media without anyone realizing that the media has a secret message. Steganography (information hiding) is a technique to hide secret messages on a media host or also called a media cover. Steganography comes from Greek which means "hidden writing". Used in various forms for thousands of years. Steganography method is a method that inserts information into other data without destroying the data. Of course, using this steganography will not arouse the suspicion of other parties who are not entitled to receive information.
S(a|ou)ndbox

Sandbox play has an important role in today’s early childhood education. Modeling various objects with sand has a positive effect on the development of imagination and creativity of children. In this study, to improve a reality of a sand sculpture, we propose a system that augments appropriate auditory information on the sand sculpture. Since sand sculptures cannot have any internal electrical devices, we adopt parametric speakers, which can emit sharp directional sound. The emitted sound wave reflects diffusely on the surface of the sand sculpture, as if the sculpture itself were emitting the sound.