Reviewerly/exHarmony huggingface dataset:
A precise non-asymptotic complexity analysis of parallel hash functions without tree topology constraints

A recent work shows how we can optimize a tree based mode of operation for a hash function where the sizes of input message blocks and digest are the same, subject to the constraint that the involved tree structure has all its leaves at the same depth. In this work, we show that we can further optimize the running time of such a mode by using a tree having leaves at all its levels. We make the assumption that the input message block has a size a multiple of that of the digest and denote by d the ratio block size over digest size. The running time is evaluated in terms of number of operations performed by the hash function, i.e. the number of calls to its underlying function. It turns out that a digest can be computed in ⌈logd+1(l∕2)⌉+2 evaluations of the underlying function using ⌈l∕2⌉ processors, where l is the number of blocks of the message. Other results of interest are discussed, such as the optimization of the parallel running time for a tree of restricted height.
The Relentless Pursuit of Tone: Timbre in Popular Music (Robert Fink, Melinda Latour &amp; Zachary Wallmark, eds.)

Raving Iran shows a year in the lives of Anoosh and Arash, aka Blade & Beard.At the time of filming, from
Abstract #4391 Using the influenza vaccine as an exogenous mild inflammatory challenge: When does inflammation peak?

An adaptive fast-recognition warning algorithm for severe weather using ground-based Doppler radar and Tropical Rainfall Measuring Mission (TRMM) sensor data is proposed for different seasons, regions and topography conditions in the East and South China Seas. An improved regional segmentation method and the Thunderstorm Identification, Tracking, Analysis and Nowcasting (TITAN) algorithm were applied to identify three-dimensional strong storm cells and their physical features. Multiple logistic linear regression was used to establish a probabilistic warning model for strong convective weather, such as hail and lightning. Doppler radar identification and warning experiments were carried out for a strong squall line near the East China Sea and a supercell storm near the South China Sea. The experimental results showed that the proposed method has higher identification accuracy based on the azimuth and distance than the traditional algorithm. Moreover, the false negative and false report rates of the proposed method are low, which helps to quickly identify and warn against severe weather and protect lives and property.
Auto Correction of Setswana Real-word Errors

Spell checkers are used to detect and where possible correct spelling errors.Errors are classified as nonword errors and real-word errors.Real-word errors require the consideration of the context of the sentence to detect and correct.Setswana language has several commonly used words which are often misspelled by either separating or merging them.The misspelling results in real-word errors.In this paper we propose contextual rules that look at neighbor words to determine whether the correct word is written as two separate words or merged as one word.For some words the rules require that the parts of speech category of neighbor words be determined whereas some depend on specific neighbor words or position in a sentence.Implemented rules show that the rules are very consistent with a 88% success rate.Our tool only looks at neighbor words and therefore does not look at the context of the whole sentence.Hence, for words that require context of the whole sentence to disambiguate correctly our rules fail.This module can be incorporated into a spell checker to detect and correct real world errors for some words.That is, help users to determine the correct orthography of certain words.
MEASURING THE COMPLEXITY OF NATURAL LANGUAGE REQUIREMENTS IN INDUSTRIAL CONTROL SYSTEMS

Requirements specification documents are one of the main sources of guidance in software engineering projects and they contribute to the definition of the final product and its attributes. They can ...
REDRESSING THE ONLINE TRANSACTION FRAUD VICTIM TREATMENT AND INTEREST FULFILLMENT IN CRIMINAL JUSTICE SYSTEM

This article gives idea on how to redress online transaction fraud victim in criminal justice system. The method applied is by looking scholars’ studies, statutes, observation of victimization process and interviewing law enforcement and victim. In several occasions, investigators turned to blame the victim when they report the crime. For several unsolved cases, the victim asked to revoke their report. This caused by investigator’s view that victim recklessness and failure to think what is deservedly suppose is the main cause of the crime. Treatment and interest fulfillment of online transaction fraud victim in criminal justice system should be redressed, such as the accommodation of material loss recovery, and regarding the victim’s interest during criminal justice process.
Assessing CoDa regression for modelling daily multivariate air pollutants evolution

The application of the theory of compositional data in multivariate spatiotemporal statistical models is still scarce, even though the results obtained are robust. Actually, this kind of models are attractive to pollution model developers, due to, its versatility in the spatio-temporal variables; but nobody has tried to use it with compositional data yet. The main differences between a conventional model and two CoDa models (with two sequential binary partition, SBP) were analyzed. The first SBP was proposed by pollutants relationship interpretation, and the second one was imposed as standard SBP (R studio). Initially the conventional temporal model is used to predicting pollution levels to fill missing data or predicting pollution levels on future days. The application of compositional data theory in conventional temporal air quality models allowed to obtain acceptable quality models, whose results were adjusted to the observed values. Nash-Sutcliffe Efficiency Index (NSE) and rootmean-square error (RMSE), were used to evaluating the model quality and fitted values respectively.
Salient Object Detection via Combining Duplex Features

The salient object detection aims to predict the most eyecatching objects in an image.The existing salient object detection methods only rely on the single color difference and cannot predict the complete results.In this paper, a novel method is proposed for salient object detection.The proposed method combines SLIC super-pixel segmentation and K-Means clustering algorithm to extract image features.Firstly, SLIC segmentation is performed to obtain the color contrast feature map based on the color difference between the pixel blocks.Secondly, K-Means cluster is carried out according to the color feature.After the K-Means cluster, several classes are obtained by features in LAB space.Then, the initial color space distribution feature map of each class is calculated according to the spatial distribution compactness and the color distribution uniformity.Considering that the clustering results do not contain spatial information, this paper maps the clustered results into the super-pixel segmented pixel blocks to further optimize the color space distribution feature map.Finally, the ultimate saliency map is acquired by fusion the color contrast feature map and the color contrast feature map.Extensive experiments are conducted on ECSSD dataset and the experiment results show the proposed method can achieve state-of-the-art performance.
SIGCSE special projects grants awards

Special Project Grants of up to US$5000 are available to SIGCSE members to support projects that will bring some clear benefit to the computing education community in the form of new knowledge, a resource, or good practice in learning, teaching, or assessment.
Pengaruh Literasi Ekonomi, Modernitas, Dan Uang Saku Terhadap Perilaku Konsumsi Santriwati IIS MA Salafiyah Sidoarjo

ABSTRACT Consumption behavior in adolescents is a phenomenon that often occurs because adolescence has an unstable, specific, and easily influenced nature. This study aims to determine the effect of economic literacy, modernity, and pocket money on the consumption behavior of students of IIS MA Salafiyah Sidoarjo partially or simultaneously. The research design uses quantitative approach and type of explanatory research. The population of this study were 86 IIS MA Salafiyah students in Sidoarjo. The technique used in this study is a saturated sampling technique because respondents used less than 100 people.The results of this study indicate that: (1) economic literacy has a positive effect on the consumption behavior of IIS MA Salafiyah Sidoarjo students with an effective contribution of 11,8% (2) modernity has a positive effect on consumption behavior of IIS MA Salafiyah Sidoarjo students with an effective contribution of 18,9% (3) pocket money has a positive effect on the consumption behavior of IIS MA Salafiyah Sidoarjo students with an effective contribution of 14,7% (4) economic literacy, modernity, and pocket money positively influence the consumption behavior of IIS MA Salafiyah Sidoarjo students with an effective contribution of 45,4%. Keywords : Economic literacy, modernity, pocket money, consumption behaviour 1 1 1 1 MicrosoftInternetExplorer4 0 2 DocumentNotSpecified 7.8 磅 Normal 0
Development of a Secure Web-Based Cloud Storage System Using 3D-AES Block Cipher Cryptography Algorithm

The objective of this paper is to provide users a place to store their files securely in cloud storage which can be accessed anywhere via internet connection. This paper is highlighted the design and develop secure web-based cloud storage system using 3D-AES block cipher algorithm and the measure the security level of document data develop using 3D-AES block cipher by bit error rate analysis. The data integrity of the file stored is protected, as it is encrypted using 3D-AES block cipher cryptography algorithm, which is an advanced technique that further adds security layers to an already prominent encryption algorithm, AES. Data will be secured before start of upload using encryption technique insuring data integrity through the network and on the cloud storage itself. Besides that, data stored on the server provides a level of authority on who can access it because the cipher key used for the encryption is process is the user’s uniquely generated id. Bit error rate analysis on this research project will evaluate the level of security provided by 3D-AES Block Cipher algorithm in terms of effectiveness in mitigating potential block cipher attacks. The outcomes from this paper affords insights to cutting-edge protection implementation and their vulnerabilities, as well as future enhancements that may be made to further solidify cloud storage solutions.
The influence of knowledge and attitude of female adolescents on Fe tablet consumption at Public Senior High School 1 of Gorontalo City, Indonesia

Female undergo menstruation, pregnancy and breastfeeding, which bring about the need to consume blood cell tablet in order to provide extra iron and further replace lost blood, as a preparation through adolescence. Furthermore, females tend to suffer from anemia, exhibit retarded learning, working competence, quality of human resources and overall wellbeing of their offspring hence the promotion of nutritional status and health is essential (Warsiti, 2013). This study therefore aims to investigate the effect of knowledge and attitudes of female adolescents on the consumption of Fe tablet at Public Senior High School 1 of Gorontalo, applying a quantitative approach with cross-sectional method. With a sample of 72 students, the study involved the use of a questionnaire to obtain data, which were analyzed using the Fisher Ex cact (X2) test at the significance level of 95% (α=0.05). The analysis results revealed no influence of knowledge, toward the behavior of consuming Fe tablet with p-value = 0.355. Furthermore, there was a correlation between attitudes and consumption behavior, with p-value = 0.003 among young women in Public Senior High School.
Racing videogame players’ driving experience in natural context does not affect gaze strategy towards tangent point during simulated curve negotiation, but the curvature angle does

During curve negotiation, drivers tend to look at the tangent point of the curve (TP) to control steering. There is a lack of evidence on how experiences of natural and simulated driving are related. The purpose of this study was to investigate effects of experience in natural driving on gaze behavior of racing videogame players. Additionally, it aimed to identify possible effects of curvature angle on fixation patterns. Twenty video game players composed two groups: drivers-gamers and no-drivers-gamers. Participants had their eye movements recorded while performing three laps racing on a videogame circuit, which had eleven curves. Areas of interest were defined relative to TP: 3 degrees, 10 degrees of visual angle, and Others. Dependent variables were: Number of Fixations and Total Duration of Fixations. Results showed that natural context driving experience did not change the tangent point visual strategy during curve negotiation in a racing videogame environment. All participants spent approximately half of their number of fixations and total fixation time within 10 degrees around the tangent point. Curvature angles modified fixation patterns, causing higher number of fixations and total fixation time during sharper curves.
Application of airborne magnetic survey and geoelectric methods for identification and characterization of mineralized gold zones in the Príncipe, TO

Although the Príncipe Gold Deposit attracted economic interest since the gold cycle in 1724, there are no reports of publications regarding to near-surface geophysics studies in the area.Besides that, the region's real economic viability is still neglected since few large mining companies operate in the northern part of the Principe granite.Therefore, this paper seeks to discuss the airborne magnetic survey use for detail local structures.In addition, it reports the use of geoelectrical data for subsurface models and the research has as objective the identification of probable mineralized zones The Príncipe Gold Deposit is orogenic and it is known as a pressure shadow zone that acted as structural traps for the ore (Corrêa et. al., 2015).Then, two profiles with resistivity and IP data for two lines were conducted perpendicularly to the main structural trend N10ºW-N20ºE, with 10 meters spacing between electrodes.Granite with intense deformation was interpreted as more resistive zones (1000-4000 ohm.m), shear zones with approximately 670 ohm.m and mineralized zones were interpreted as greater than 14 mV/V values.
Improving treatment performance of biofilters for heavily polluted surface water using combined organic/inorganic substrates and exogenous carbon source of wood pieces

Effective treatment of external pollution inputs is highly important for the protection of receiving waters.In this study, three tidal flow (flooded/drained time ratio of 16/8 h) biofilters with combined substrates of ceramsite/volcanics and fibrous carrier were used to remediate heavily polluted river water.Good removal performance for NH 4 + -N, COD and P was achieved, with mean efficiencies of 77.8%-97.4%,80.0%-81.0%and 62.3%-94.9%,respectively.But TN removal was inefficient (30.5%-36.5%)primarily because nitrate removal was restricted mainly by deficiency of organic carbon in the influent.Thus wood pieces were added to the biofilters as exogenous carbon source for heterotrophic denitrification.TN removal was largely enhanced with mean removal efficiency of 65.7%-70.5% during the initial 20 operation days because of decreased effluent nitrate concentration, despite of the gradual decrease of TN removal efficiency and release of pollutants from the wood during the first several operation days.The biofilter with combined substrates and additional plant biomass as carbon source is a promising eco-technology for the remediation of polluted surface water with high nitrate content and low C/N ratio.
IoT use Prevalence and Acceptance Modelling in the Kingdom of Saudi Arabia

This work examines and models the acceptance and application of the Internet of Things (IoT) in the Kingdom of Saudi Arabia.It first explains the tremendous potential and impact of IoT on different areas of governance in smart cities, the challenges and the security threats faced.Next, the significant improvements accompanied by the introduction of advanced countermeasure techniques such as Blockchain technology are discussed.It proposes an acceptance model of IoT in Saudi Arabia based on well-renowned information systems theories, namely Diffusion of Innovations (DOI) theory, Technology Acceptance Model (TAM) and The Unified Theory of Acceptance and Use of Technology (UTAUT).The current study adopted a quantitative approach to test the model.Statistical analysis of the proposed model validates the effectiveness of the proposed work in modelling of IoT use prevalence and acceptance.
Neural networks and learning systems for human machine interfacing

With developments of the sensor and computing technologies, human-machine interfaces (HMIs) are designed to meet the increasing user demands of machines and systems. This is because human effects are becoming the key issues to allow some advanced mechanical devices, such as robots and biometric systems, to perform complicate tasks intelligently in an unknown environment. An effective HMI with learning ability can process, interpret, recognize, and simulate the intention and behaviors of human beings, and then utilize intelligent algorithms to drive the machine devices. The HMIs also enable us to bring humanistic intelligence and actions in robotic devices, biometric systems and other machines through two-ways interactions, such as using deep neural networks. In recent years, a growing number of researchers and studies focusing on this area have clearly demonstrated the importance of learning systems for HMIs.
Adoption of Electronic Techniques in Teaching English-Yoruba Bilingual Youths the Semantic Expansion and Etymology of Yoruba Words and Statements

Yoruba is one of the Nigeria’s four hundred languages linguistically threatened with extinction considering the language attitude of its native speakers especially the youths. The youths’ flair for English is making them lose interest in the use of Yoruba. This study was designed to introduce and teach the Yoruba youths the origin of some Yoruba words and statements using electronic devices like video tape recorder, phones, and power points presentation. Twenty Yoruba words, phrases, clauses, and statements were dramatized, recorded in CDrom and practically demonstrated in the classroom setting. We elicited our data through various Yoruba discourses with their historical origin traced to past happenings. The major sources of data collection for this study include records of discourses in Yoruba, waxed musical records and conversations among Yoruba natives especially in Urban areas in Nigeria. Twenty of the collated words, phrases, clauses and statement were also linguistically analyzed. The study encourages the use of electronic gadgets in teaching Yoruba. It is also a valuable attempt among others in saving Yoruba language from going to extinction as a result of its native youth speakers’ lack of interest and knowledge of the origin of many of its words, clauses, phrases, statements and usage.
P39 Technical considerations in 360° virtual reality design: perspective, spatial and interaction

<h3>Introduction</h3> HILS is in process of creating a VR ABC assessment experience aimed at 4 and 5th year Medical Students after first completing a successful Labour Ward VR experience.<sup>1</sup> We would create two versions –one non interactive and one interactive. Differing levels of interactivity and perspectives offered by VR introduce various technical and design challenges, which will be shared in this abstract. <h3>Methods</h3> VR can create different levels of embodiment - self location, body ownership and sense of agency being key factors impacting this.<sup>2</sup> We decided that the user should feel like they were a character in the scene rather than an observer. Our technical decisions in trying to achieve this were as follows Self location – place the camera at the foot of the bed (central to the scene) Body ownership – we did not have the ability to create ‘a visual body’ for the user, so could not influence this. Agency – converse with characters in the scene using pre–recorded audio. Interactive version created using Cenario VR web based software adding choices on screen would increase sense of agency. <h3>Results</h3> The choice to insert pre-recorded audio representing the voice of the user created a technical challenge. We decided that expecting our actors to memorise a full script, leaving adequate spaces for replies would be very difficult. We overcame this by fitting a discreet walkie-talkie to the lead doctor in the scene, whilst having a person in our nearby simulation control room replying into the walkie-talkie, whilst simultaneously recording their verbal responses on camera, to keep the conversation seamless during filming. The blank audio gaps in the video footage were then filled with our recorded responses, resulting in the user hearing a verbal reply coming from them. (Figure 1) <h3>Discussion</h3> Standard video production offers a multitude of design decisions, and 360 VR video builds on this with additional considerations such as the much wider perspective and the range of viewing hardware, however the principles of building an education resource to fit a specific learning objective are just as important as ever. 360 video introduces technical challenges such as limiting the places which are ‘out of shot’ and as our project demonstrates, each design decision can introduce additional technical hurdles, which are best considered in advance of filming. <h3>Reference</h3> https://www.hey.nhs.uk/news/2019/02/14/hull-midwifery-team-wins-prestigious-award-for-vr-headsets/ Kilteni, K., Groten, R., and Slater, M. (2012). The sense of embodiment in virtual reality. Presence Teleoperators Virtual Environ. 21, 373–387. doi:10.1162/PRES_a_00124
Applications of Deep Learning and Big Data Technologies

Today, Big Data and Deep Learning concepts are the most frequently studied subjects. The coexistence of the concept of Deep Learning, which is another technology that emerged after the study of large data, has been a topic of revelation. Because the experience obtained due to the excess and the size of the data examined is expected to be used more quickly and efficiently by using Deep Learning technology. In this study, the concepts of Big Data and Deep Learning will be explained and some applications will be mentioned.
About metallogeny of the pacific volcanic belts

The article discusses the actual aspects of the metallogeny of the Pacific volcanic belts (PVB), which are a complexes of volcanogenic-plutogenic formations associated with the development of the marginal lithosphere and has an expressive specificity of ore formation. It is shown that over time the notions of metallogenic homogeneity of PVB have received a new justification from the position of global plate tectonics. Metallogenic significance of Ag/Au relationships in ore deposits of the PVB is shown. The correlation between porphyry-epithermal and the VMS ore-forming systems, regenerated and rejuvenated epithermal deposits is discussed. Global metallogenic homogeneity of the Pacific ore belt suggests a wide development of analogues of American volcanogenic deposits in its Asian half, including in the North-East of Russia. The main part of the internal zone of the Okhotsko-Chukchi marginal volcanic belt the Udo-Murgal island-arc belt, as well as the Uyandino-Yasachensky and Oloysky volcanic belts, are similar in geological structure not only to the Japanese green tuffs province, but also to other Pacific volcanic zones of the island-arc type and, therefore, within their limits, there is a high probability of revealing the entire variety of deposits of the VMS ore-formation series.