Reviewerly/exHarmony huggingface dataset:
PENERAPAN TEXT MINING DALAM MENGANALISIS KEPRIBADIAN PENGGUNA MEDIA SOSIAL

Facebook”is a social networking application where users reveal a lot about the mselves”through their posting pages. So the writer wants”to know what information can be taken about the user's”personality. Data mining plays an important role”which aims to”transform raw data into a structure that can be understood”for further use. ”Text mining refers to the process of”retrieving”high quality information from text”,one of the classification methods that can be used is the K-Nearest Neighbor algorithm. Based on the theory of big five personality”the results of the study concluded that”the accuracy rate obtained was 92.92%, from 550 data with the highest openness personality character value of 239, Conscientiouseness of 16 data, Extraversion of 173 data, Agreeableness of 50 data, Neuroticism of 33 data and 39 data that cannot be classified.
КУЛЬТУРНО-ОБРАЗОВАТЕЛЬНАЯ ДЕЯТЕЛЬНОСТЬ МУЗЕЕВ ВЫСШЕЙ ШКОЛЫ БССР В МЕЖВОЕННЫЙ ПЕРИОД

The article considers the significance of the cultural and educational activities of museums of higher educational institutions of the BSSR in the 1920–1930s. The work of university museums in the field of enlightenment and education was aimed at introducing the visual method of education and the Dalton plan into the learning process, as well as familiarizing the general population with the science, history and nature of the BSSR. The main forms of work of museums of higher educational institutions during this period were lecturing for students and conducting excursions among the population. The criterion for the effectiveness of the museum was determined by participation in mass propaganda.
미래 한국군의 적정 상비병력 규모 판단을 위한 실증적 연구

This paper is designed to analyze the factors influencing the appropriate standing troops of the ROK military and to determine and predict the appropriate standing troops of the future ROK military through empirical analysis.As a result, even if soldiers are already reduced to 500,000 in 2022 due to military reform for 18 months of military service, it is difficult to maintain 500,000 as the target of defense reform due to the rapid decrease in population.The optimal ROKA in the future is based on a comprehensive analysis of factors such as changes in the security environment of the Korean Peninsula, reflections of previous studies, and adjustments of empirical results. The maximum size was 450,000 and at least 350,000.Due to the drastic reduction in troop scale, considerable confusion and objection are expected, so that the standing troop scale will remain stable and stable through phased process in connection with troop reduction, cadre reinforcement, reorganization, and power expansion in consideration of threats from North Korea and neighboring countries. Continuous reductions are required.
Building a Publishing Toolkit for Multimedia Sciece Journals

This article discusses approaches to the creation of an electronic scientific journal tool platform that provides the publication of multimedia materials through a web interface. The problems associated with the need to include multimedia data of different types are described and a working prototype of the multimedia of the scientific journal is presented.
OBJECT DETECTION: MODEL COMPARISON ON AUTOMATED DOCUMENT CONTENT INTERPRETATION - A performance evaluation of common object detection models

Manually supervising a million documents yearly becomes an exhaustive task. A step towards automating this process is to interpret and classify the contents of a document. This thesis examines and ...
The best writing on mathematics 2018 by Mircea Pitici (ed.), pp. 250, £20.00, ISBN 978-0-691-18276-6, Princeton University Press (2019)

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Tratti binari e tratti monovalenti nella rappresentazione delle vocali

The paper deals with the nature of segmental primitives. Although the conception of features as binary units has dominated phonological literature for decades, it has been challenged in convincing ways by the alternative theory according to which primitives are monovalent units. The paper compares the two aforementioned approaches by focusing on the representation of vowels. I will argue in favour of the unarist conception through a discussion of data concerning vowel harmony and metaphony in Italo-Romance varieties
A maximum-entropy approach to off-policy evaluation in average-reward MDPs

This work focuses on off-policy evaluation (OPE) with function approximation in infinite-horizon undiscounted Markov decision processes (MDPs). For MDPs that are ergodic and linear (i.e. where rewards and dynamics are linear in some known features), we provide the first finite-sample OPE error bound, extending existing results beyond the episodic and discounted cases. In a more general setting, when the feature dynamics are approximately linear and for arbitrary rewards, we propose a new approach for estimating stationary distributions with function approximation. We formulate this problem as finding the maximum-entropy distribution subject to matching feature expectations under empirical dynamics. We show that this results in an exponential-family distribution whose sufficient statistics are the features, paralleling maximum-entropy approaches in supervised learning. We demonstrate the effectiveness of the proposed OPE approaches in multiple environments.
The Perceptron Model

All major animal groups have brains made of neurons. A neuron is a specialized cell that transmits electrochemical stimulation using an axon to other neurons. A neuron receives this nerve impulse via a dendrite. Since the early age of computers, scientists have tried to produce a computational model of a neuron. The perceptron was one of the first models to mimic the behavior of a neuron.
Stochastic Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization.

In this paper, we introduce a simplified and unified method for finite-sum convex optimization, named \emph{Stochastic Variance Reduction via Accelerated Dual Averaging (SVR-ADA)}. In the nonstrongly convex and smooth setting, SVR-ADA can attain an $O\big(\frac{1}{n}\big)$-accurate solution in $O(n\log\log n)$ number of stochastic gradient evaluations, where $n$ is the number of samples; meanwhile, SVR-ADA matches the lower bound of this setting up to a $\log\log n$ factor. In the strongly convex and smooth setting, SVR-ADA matches the lower bound in the regime $n\le O(\kappa)$ while it improves the rate in the regime $n\gg \kappa$ to $O(n\log\log n +\frac{n\log(1/(n\epsilon))}{\log(n/\kappa)})$, where $\kappa$ is the condition number. SVR-ADA improves complexity of the best known methods without use of any additional strategy such as optimal black-box reduction, and it leads to a unified convergence analysis and simplified algorithm for both the nonstrongly convex and strongly convex settings. Through experiments on real datasets, we also show the superior performance of SVR-ADA over existing methods for large-scale machine learning problems.
ANALISIS PERBEDAAN GENDER TERHADAP SIKAP BERKOMPUTER DAN KINERJA MAHASISWA PADA KELAS ERP

This study entitled ANALYSIS OF GENDER DIFFERENCES ON COMPUTER ATTITUDE AND STUDENT PERFORMANCE IN ERP CLASSES (CASE STUDY OF ACCOUNTING STUDENTS FOR 2012-2013 ACADEMIC YEARS). The purpose of this study is (1) To measure the ability of each gender to absorb computer technology conducted objectively, namely to have data, information, and supporting evidence from related sources or objects.
BUS PASS USING QR CODE

We are aware that generally bus passes were verified manually in the current scenario. Sometimes it might be difficult to verify the pass manually. To overcome this we’ve come with a smart solution where we design a Website in which the user registers himself with the path of his source to destination which includes payment for that particular route.The website is specific with the verification of the user from where we collect the information or data of the registered users and store it in our database.Here we use a unique QR Code to identify the validity of the pass. When the user goes with the QR Code scanning we show the difference between the registered user and unregistered user through the output either as Valid or Invalid.The output is Valid only when the user is registered and he has certain period of validation through that route after completing the payment. In rest of all cases the output is shown as invalid.Thus we have come with a smart solution which enhances the limitation of Bus Pass with Finger Print Scan.
High Energy Dimensioning the Quantum Space-Time of the Electron

The photon-electron interaction allows to describe a relativistic dynamics of the quantum absorption-emission of the electron, which could provide a description of the primordial universe and the arrow of time, applied to quantum computers, electron microscope and other technologies. The alternatives descriptions for the wave-particle duality have variable interpretations, when came to describe how with a single constitutive mechanism, the photon shows changes on the relationship between electric and magnetic phases, which in the space-time are structured as differentiable responses when acting on a target, manifesting properties of particles (photoelectric), or a wave (in the double-slit experiment). By analyzing the quantum absorption-emission of the electron, quantum properties emerge at the high and low energy extremes. The image sequence of the topographic projection of the unidirectional wave function, suggest that within the particle the incorporated energy, produce orderly patterns conforming energy convection cells of quasi-fractal periodicity. This patterns, in the direction of absorption shows increasing energy levels, decreasing the contour that could be related by the relationship that decreasing entropy increase curvatures, until the Planck limit. If the sequence is examined in reverse, or emission, also shows a proportional correlation between relativistic mass or potential-energy and the curvature of space. Emission increasing entropy, eventually leads to decreasing curvature of the particle, which is revealed by the tendency of internal contour force-lines to become parallel. Scale extrapolation allows postulating, that increasing entropy by decreasing curvature, allows relating space expansion to the universe flatness.
CrossPath: Top-down, Cross Data Type, Multi-Criterion Histological Analysis by Shepherding Mixed AI Models.

Data-driven AI promises support for pathologists to discover sparse tumor patterns in high-resolution histological images. However, three limitations prevent AI from being adopted into clinical practice: (i) a lack of comprehensiveness where most AI algorithms only rely on single criteria/examination; (ii) a lack of explainability where AI models work as 'black-boxes' with little transparency; (iii) a lack of integrability where it is unclear how AI can become part of pathologists' existing workflow. To address these limitations, we propose CrossPath: a brain tumor grading tool that supports top-down, cross data type, multi-criterion histological analysis, where pathologists can shepherd mixed AI models. CrossPath first uses AI to discover multiple histological criteria with H and E and Ki-67 slides based on WHO guidelines. Second, CrossPath demonstrates AI findings with multi-level explainable supportive evidence. Finally, CrossPath provides a top-down shepherding workflow to help pathologists derive an evidence-based, precise grading result. To validate CrossPath, we conducted a user study with pathologists in a local medical center. The result shows that CrossPath achieves a high level of comprehensiveness, explainability, and integrability while reducing about one-third time consumption compared to using a traditional optical microscope.
Research Guides: Graduate Student Resources & Services: Classrooms & Study Spaces

This is a guide to resources and services in the UO Libraries especially relevant for graduate students. Information about library classrooms and study spaces
The Artificial Neuron

In the previous chapter, we saw how a perceptron operates and how a simple learning algorithm can be implemented. However, the perceptron has some serious limitations, which will motivate us to formulate a more robust artificial neuron, called the sigmoid neuron.
Crystal chemistry of muscovite: An indicator of proximity to VHMS mineralisation

The crystal chemical properties of muscovite 2M1 in hydrothermally altered volcanic rocks of the alteration halo enveloping the Waterloo VHMS deposit, Australia, is distinctly different to that of muscovite 2M1 contained in background altered wall rocks. The hydrothermal muscovite has cell dimensions and compositions close to that of end-member muscovite whereas muscovite in background altered samples is characterised by elevated a and b cell dimensions and a substantial Fm [= (Fe+Mg)] substitution. Hydrothermal muscovite can also be distinguished from that contained in background altered rocks on the basis of the higher Na* [= 100 Na/(Na+K)] number and the typically lower 1/2csinβ parameter. The observed variations in the composition are interpreted to be primarily a result of chemical inheritance from the precursor materials. It is suggested that the crystal chemical properties of muscovite can be used in base metal exploration to recognise hydrothermal alteration processes in strongly foliated and fine grained volcanic rocks.
Exception Handling in Logic Programming

One problem on logic programming is to express exception handling. We argue that this problem can be solved by adopting linear logic and prioritized-choice disjunctive goal formulas (PCD) of the form G G 0 *1 ⊕ where G0, G1 are goals. These goals have the following intended semantics: sequentially choose the first true goal GI and execute GI where i (= 0 or 1), discarding the rest if any.
Computer technology of accounting of confounders in the risk assessment in comparative studies on the base of the method of standardization

Here was performed an analysis of the accounting of the impact of concomitant variables (confounders), introducing a systematic error in the assessment of the impact of risk factors on the resulting variable. The analysis showed that standardization is an effective method for the reduction of the shift of risk assessment. In the work there is suggested an algorithm implementing the method of standardization based on stratification, providing for the minimization of the difference of distributions of confounders in groups on risk factors. To automate the standardization procedures there was developed a software available on the website of the Institute of Industrial Ecology, UB RAS. With the help of the developed software by numerically modeling there were determined conditions of the applicability of the method of standardization on the basis of stratification for the case of the normal distribution on the response and confounder and linear relationship between them. Comparison of results obtained with the help of the standardization with statistical methods (logistic regression and analysis of covariance) in solving the problem of human ecology, has shown that obtaining close results is possible if there will be met exactly conditions for the applicability of statistical methods. Standardization is less sensitive to violations of conditions of applicability.
RIB YANG Data Model

The Routing Information Base (RIB) is a list of routes and theircorresponding administrative data and operational state. RFC 8349defines the basic building blocks for RIB, and this model augments itto support multiple next-hops (aka, paths) for each route as well asadditional attributes.
The Pitfalls of Client/Server Development Projects

The management of client/server projects involves unique pitfalls within traditional systems development categories. As with a traditional development project, documenting requirements should be the start of a client/server development project. The client/server systems development process should include test plans with expected result, actual result, and disposition of differences. While the goal of a client/server system is to be user friendly and provide online help functions, these systems should additionally have the traditional types of documentation available to operate, maintain, and use the system. If the client/server system is being developed to replace an existing legacy system, hopefully users of the existing system will be involved in the prototype review. As with all development projects, essential to avoiding or managing client/server development pitfalls is effective project management. A final pitfall to watch out for is a target date set by senior management to be committed to by the project team.
The Consultative Approach to Client Support

Organizations have changed dramatically since the introduction of personal computing. Networks alone have brought legitimacy to standards for the desktop. Client servers now hold and run critical applications. Access to information highways is becoming a strong factor to competitive advantage. Making the transition to a consultative approach to client support requires the IT manager to learn and understand the differences among needs, expectations, problems, and solutions and then train the support staff to make the same distinctions. By using a productive-customer philosophy, the IT staff could be much more consultative in discussions with end users. A consultative dialogue would enable support people to determine needs, problems, expectations, and solutions. When running multiple feedback sessions, the IT manager and support staff — as well as the outside facilitator if one is used — should debrief each other between sessions.
3. Crime scene management and forensic investigation

‘Crime scene management and forensic investigation’ shows how the actions of investigating officers at a crime scene can affect the availability and efficacy of forensic tests later in the investigation. The purpose of crime scene management is to control, preserve, record, and recover evidence and intelligence from the scene of an incident in accordance with legal requirements and to appropriate professional and ethical standards. Any items removed from a scene by investigators must be packaged and labelled correctly to prevent contamination and minimize damage. Once forensic analysis begins, it is essential to consider the investigative implications of actions and decisions. It is sometimes more effective, quicker, or convenient to bring the specialist to the crime scene.
Mobile Ticket For Darulaman Stadium in Alor Star City

technology is the most famous portable technology, the mobile devices include laptop computers, Personal Digital Assistances (PDAs), and mobile phone with mobile solution services can be obtained easily at any time in any where, this research introduces a prototype Mobile Ticket for Darulaman Stadium in Alor Star City that provides the crowed with the ticket for watching matches without losingtime and effort, mobile application allows to the users to use the Information Technology without being bound to a single location; it provides the users with the flexibility. This technology enables users to the access any time in any location; this research will propose a E Ticketing Reservation Application Prototype forDarulaman Stadium in Alor Star city.
A Task Allocation Schema Based on Response Time Optimization in Cloud Computing

Cloud computing is a newly emerging distributed computing which is evolved from Grid computing. Task scheduling is the core research of cloud computing which studies how to allocate the tasks among the physical nodes so that the tasks can get a balanced allocation or each task's execution cost decreases to the minimum or the overall system performance is optimal. Unlike the previous task slices' sequential execution of an independent task in the model of which the target is processing time, we build a model that targets at the response time, in which the task slices are executed in parallel. Then we give its solution with a method based on an improved adjusting entropy function. At last, we design a new task scheduling algorithm. Experimental results show that the response time of our proposed algorithm is much lower than the game-theoretic algorithm and balanced scheduling algorithm and compared with the balanced scheduling algorithm, game-theoretic algorithm is not necessarily superior in parallel although its objective function value is better.
Suggestions on Developing ‘Creative Decision Stimulation Systems (CDSS)”

This paper points out the necessity of developing “Creative Decision Stimulation Systems (CDSS)”, proposes that the basic difference between CDSS and the existing DSS and ES is that CDSS aim to inspire and qualify the user’s creative thinking by asking him/her meaningful questions while DSS and ES try to decrease the user’s tedious work by providing him/her with data or solutions. Some methods and suggestions on the three most important activities in creative decision making are provided in this paper.
Computing Conditional Distributions of Queuing Network Matrices

This paper addresses the problem of computing conditional steady-state distributions in large Markovian queuing networks. An algebraic framework is introduced to describe and analyze decomposition techniques which yield these distributions. First, this yields a new proof that the so-called short-cut or Norton’s method [1][5] gives exact results under conditions of local balance. As opposed to previous work, this proof is constructive in the sense that the Norton’s method is directly derived from the global and the local balance equations. A by-product of the proof is to generalize the class of network routing schemes to which the theorem applies. Besides, it is shown that the exact conditional distributions can also be obtained by decomposition under conditions that are weaker than local balance. These conditions are called here “subsystem balance” and the corresponding exact decomposition “bounded population range” (BPR). In the second part of the paper, properties of polyhedra of Perron-Frobenius eigenvectors are used to analyze the accuracy of these methods 330when they are applied to more general queuing networks that do not satisfy any type of balance. We show, then, how the accuracy depends on the structure of the entire network and can thereby be arbitrary poor in the absence of any special network property. On the other hand, the methods are guaranteed to be accurate when the network is “nearly completely decomposable.” Finally, for networks without any specific property, the BPR method provides better guarantees than the Norton’s method; another advantage of the BPR method is that it always converges as the amount of computation involved is increased.
Tabletop Experiment to Verify Magnetic Monopoles

Recently, we suggested a model of magnetic monopoles (hep-ph/9708394). Here we will propose a tabletop experiment to test this model. The verification of the predicted effect would have far-reaching consequences.
Fuzzy Behavior Organization and Fusion for Mobile Robot Reactive Navigation

This paper presents the progress on the development of a navigation system for a construction mobile robot working in indoor environemnts. Fuzzy logic control is used to compose reactive and task-oriented behaviors. The orgazination of reactive behaviors provides efficient support for task-oriented behaviors. Several reactive and task-oriented behaviors have been developed. A task-oriented dynamic activation and inhibition scheme has been devised to fuse behaviors. The effectiveness of the above strategies has been demonstrated in simulation.