Miracle-dz/UniFAR-FTUs huggingface dataset:
A world together: Global citizen identification as a basis for prosociality in the face of COVID-19

How do global citizens respond to a global health emergency? The present research examined the association between global citizen identification and prosociality using two cross-national datasets—the World Values Survey (Study 1, N = 93,338 from 60 countries and regions) and data collected in 11 countries at the start of the COVID-19 pandemic (Study 2, N = 5,427). Results showed that individuals who identified more strongly as global citizens reported greater prosociality both generally (Study 1) and more specifically in the COVID-19 global health emergency (Study 2). Notably, global citizen identification was a stronger predictor of prosociality in response to COVID-19 than national identification (Study 2). Moreover, analyses revealed that shared ingroup identity accounted for the positive association between global citizen identification and prosociality (Study 2). Overall, these findings highlight global citizenship as a unique and promising direction in promoting prosociality and solidarity, especially in the fight against COVID-19.
Application Of Naive Bayes Algorithm In Classification Of Child Nutrition At The Simalungun Health Office

Toddlers are among the most vulnerable groups to nutritional problems when viewed from the point of view of health and nutrition problems, while at this time they are experiencing a cycle of relatively rapid growth and development. 7% is quite high where the number of births is relatively large. Researchers try to classify 10 toddlers using WEKA to find out whether they have nutritional disorders or are normal by using 5 attributes as system input and a class namely nutrition which divides this class into 4 namely bad, less, good and more with the amount of training data 219 data then data compared with the actual nutritional conditions and obtained an accuracy of 60% and an error of 40% with these results it can be concluded that the accuracy is not too good. Based on this, it is hoped that the results of this classification can help further research in classifying the nutrition of children under five.
Body part surrogates for safety research

Present paper outlines the advantages of experiments performed using human body part surrogates (physical models) in combination with virtual experiments carried out using numerical models for the medical studies, safety research and development of safety equipment. Material uses the examples of setups using instrumented human head and neck surrogates developed and constructed at Mid Sweden University, Sweden and the University of Padua, Italy.
Physiological State Can Help Predict the Perceived Emotion of Music: Evidence from ECG and EDA Signals

As the soul of music, emotion information is widely used in music retrieval and recommendation systems because the pursuit of emotional experience is the main motivation for music listening. In the field of music emotion recognition, computer scientists investigated computation models to automatically detect the perceived emotion of music, but this method ignores the differences between listeners. To provide users with the most accurate music emotion information, this study investigated the effects of physiological features on personalized music emotion recognition (PMER) models, which can automatically identify an individual’s perceived emotion of music. Applying machine learning methods, we formed relations among audio features, physiological features, and music emotions. First, computational modeling analysis shows that physiological features extracted from electrocardiogram and electro-dermal activity signals can predict the perception of music emotion for some individuals. Second, we compared the performance of physiological feature-based perception and feeling models and observed substantial individual differences. In addition, we found that the performance of the perception model and the feeling model is related in predicting happy, relaxed, and sad emotions. Finally, by adding physiological features to the audio-based PMER model, the prediction effect of some individuals was improved. Our work investigated the relationship between physiological state and perceived emotion of music, constructed models with practical value, and provided a reference for the optimization of PMER systems.
Technologies for Next-generation Wireless LANs

This article reviews wireless local area networks (WLANs) as the most appropriate method to implement the home network services described in the previous articles. After surveying the trends for WLANs, we describe next-generation WLAN technologies including MIMO (multiple input multiple output) transmission, which uses multiple transmitting and receiving antennas. MIMO is the most attractive candidate for high-data-rate transmission and large communication capacity without expanding the signal bandwidth. We also describe various approaches to next-generation WLANs.
Processing synthetic aperture sonar data from novel hydrophone arrays

In synthetic aperture sonar, the highest platform speed is limited as a result of the low speed of sound in water and the requirement for adequate sampling in the along-track direction. This can result in slow seafloor mapping. The highest allowable platform speed can be increased by using a linear array of hydrophones. The signal-to-noise can also be improved by using multiple sets of hydrophone arrays. Maximum-likelihood estimation of images using data from sets of hydrophone arrays that each under-sample the underlying signal to different degrees is described. Simulations for synthetic aperture sonar imaging show that this improves the images obtained over those from a single array.
Identifikasi Sebaran Batubara berdasarkan Nilai Resistivitas Batuan Konfigurasi Wenner Desa Sungai Buluh, Kecamatan Muara Bulian, Kabupaten Batanghari

Sebaran batubara berdasarkan nilai resistivitas dilakukan di lahan Izin Usaha Pertambangan milik PT Sentosa Prima Coal, di desa Sungai Buluh, Kecamatan Muara Bulian Kabupaten Batanghari, provinsi Jambi. Data yang diperoleh dari pengukuran dilapangan menggunakan metode geofisika. Akuisisi data metode geofisika yang digunakan yaitu metode geolistrik tahanan jenis dengan konfigurasi wenner. Karakteristik batuan yang ada pada Lahan Penelitian di Desa Sungai Buluh sama seperti karakteristik batuan formasi Muara Enim. Dimana kandungan lapisannya terdiri dari batuan lempung, batuan pasir dan batubara jenis Subbituminus. Potensi batubara nya di temukan pada semua lintasan dilihat dari nilai resistivitas nya 129 – 200 Ωm pada kedalaman ± 21 meter dengan ketebalan 4-8 meter.
Removal of Thymol Blue from Aqueous Solution by Natural and Modified Bentonite: Comparative Analysis of ANN and ANFIS Models for the Prediction of Removal Percentage

In this study natural bentonite (NB) and acid-thermal co-modified bentonite (MB) were utilized as adsorbents for the removal of Thymol Blue (TB) from aqueous solution. The batch adsorption experiments were conducted under different experimental conditions. The artificial neural network (ANN) and adaptive neuro fuzzy inference systems (ANFIS) were applied to estimate removal percentage (%) of TB. Mean squared error (MSE), root mean square error (RMSE) and coefficient of determination (R2) values were used to evaluate the results. In addition, the experimental data were fitted isotherm models (Langmuir, Freundlich and Temkin) and kinetic models (pseudo first order (PFO), pseudo second order (PSO) and intra-particle diffusion (IPD)). The adsorption of TB on both the NB and MB followed well the PSO kinetic model, and was best suited Langmuir isotherm model. When the temperature was increased from 298 K to 323 K for 20 mg/L of TB initial concentration, the removal percentage of TB onto the NB and MB increased from 74.91% to 84.07% and 81.19% to 93.12%, respectively. This results were confirmed by the positive ΔH° values indicated that the removal process was endothermic for both the NB and MB. The maximum adsorption capacity was found as 48.7805 mg/g and 117.6471 mg/g for the NB and MB, respectively (at 323 K). As a result, with high surface area and adsorption capacity, the MB is a great candidate for TB dye removal from wastewater, and the ANFIS model is better than the ANN model at estimating the removal percentage of the dye.
Network Modeling and Circuit Characteristics of Aperture-Coupled Vertically Mounted Strip Antenna

A general analysis of an aperture-coupled vertically mounted strip antenna is presented to examine its circuit characteristics. Based on the present analysis, an equivalent circuit model is developed, and an analytic or semi-analytic evaluation of the related circuit element values is described. The effects of structure parameters on the antenna characteristics were studied with the developed equivalent circuit, and the design curves were obtained. To check the validity of the proposed analysis and design theory, two C-band antennas (5.0 ㎓ and 4.5 ㎓) were designed and fabricated. Their computed characteristics, derived from the proposed network analysis, were compared with the measurement and simulation results. The error of the current model in predicting the operating center frequency was less than 0.50 %. In addition, the observed bandwidth was found to be comparable to the conventional microstrip antennas. All the results fully validated the efficiency and accuracy of the proposed analysis and network model.
Physically Secure Lightweight and Privacy-Preserving Message Authentication Protocol for VANET in Smart City

Secure message transmission in vehicular communications in smart cities is still a challenging task. Most of the related work employed the Public Key Infrastructure, Certification Revocation Lists (CRLs) for ensuring security, privacy. However, these work suffered from some issues such as: 1) the time-consuming checking process, huge size of CRLs, 2) traceability attacks by linking unencrypted Basic Safety Messages (BSMs), 3) extracting secret keys from the storage of parked vehicles or road-side units (RSU) by an adversary. To address the aforementioned issues, we thus propose a physically secure privacy-preserving message authentication protocol using Physical Unclonable Function (PUF), Secret Sharing. The proposed protocol guarantees security, privacy against passive, active attacks even under memory leakage. The entities (i.e., vehicles, RSU) make use of their PUF to reconstruct a secret polynomial-share so that pairwise temporal secret keys (PTKs) can be established with other entities. Unlike existing protocols, BSMs are also encrypted in our protocol (by PTKs) to provide a higher level of security, thwart vehicles traceability attacks. To revoke a vehicle, RSU needs not broadcast CRLs. Instead, RSU distributes only a secure offset key using threshold Secret Sharing. Consequently, our revocation checking process has computation complexity $\mathcal {O}(1)$. Our protocol also eliminates the need for a third party in Vehicle-to-Vehicle communication to ensure expeditious transmission. Security analysis, performance evaluation show that our proposed protocol outperforms existing schemes in terms of security features, computation, communication cost.
Industry-specific Competitive Actions within the Turkish Mobile Telecommunications Network Operating Industry

In a bid to fill a crucial gap in the competitive dynamics literature brought about by the fact that extant competitive action literature is limited and insufficient in its coverage of industries and geographic regions, this study set out to map the variety of competitive actions specific to the mobile telecommunications network operating industry. In order to accomplish this, the study concerned itself with the case of the Turkish industry. It adopted a qualitative research methodology, specifically using the structured content analytic procedure in line with established methodological traditions of extant competitive dynamics research. Secondary data was retrieved from publicly available news sources, which were accessed through the LexisNexis database. Findings revealed a total of 112 competitive actions types specific to the industry. These actions upon further treatment, were found to be normally carried out within 8 domains of action and all of the action types isolated were of a nature that conformed to 26 sub-domains of actions all described in detail in the body of the study.
Selection of Artificial Lift Method

This paper summarizes the opening remarks of the panel members on a panel discussion of 'Selection of Artificial Lift Method' held at the 56th annual Fall Technical Conference and Exhibition of the Society of Petroleum Engineers of AIME in San Antonio, Texas, October 5-7, 1981. The topics discussed include: (1) reservoir and well considerations involved in artificial lift design; (2) sucker rod pumping; (3) gas lift; (4) submersible pumping; and, (5) hydraulic pumping. Advantages and limitations of each lift method are considered.
Coupled CFD Simulation of the Response of a Calm Buoy in Waves

This paper describes work done within the EU FP5 Project EXPRO-CFD to develop a system to couple commercial CFD software to existing hydromechanics tools to allow prediction of the response of floating structures in waves and currents, including viscous effects. Its focus is the use of this system to improve the prediction of CALM buoy response in waves. The Atkins EXPRO-CFD system is made up from the CFD code CFX, coupled to the AQWA-LINE and AQWA-NAUT hydromechanics codes. In this system, CFD provides the complete set of hydrodynamic forces and moments at each time step in the motions simulation, with the dynamics of the floating structure, its moorings and riser/export lines modeled in the AQWA-NAUT software. AQWA-NAUT returns the structure’s displacements and velocities to the CFD model and a moving grid algorithm uses these to couple motions and fluid flow in an accurate and stable manner. The motions of a CALM buoy were studied to test the capabilities of the system. The CALM buoy geometry (based on current designs by SBM) is 23m in diameter with a 2m wide skirt attached 1m above the keel; the effects of flow separation off this skirt and the associated viscous damping on the motions of the buoy were expected to be significant, especially around its natural period. A series of 1:40 model scale tests were carried out by Sirenha using a simplified mooring system with no risers. The results from the model tests, from AQWA-NAUT alone (carried out by SBM), and from the coupled EXPRO model were compared directly at model scale. The same AQWA-NAUT model was used in both the AQWA-NAUT-only simulations and the coupled simulations, allowing direct comparison between the results. The EXPRO-system simulations were carried out ‘blind’, i.e. without access to the experimental data. The three sets of RAOs showed reasonable agreement in long or short waves (within the limits of the specification of the mooring system). However, around the natural period, the AQWA-NAUT-only model significantly over-predicted the response in heave, and in particular in pitch. Although the EXPRO-CFD system slightly over predicted the heave and pitch responses, the results were close to the experimental measurements throughout. Further tests indicate that the weakness in the potential flow approach appears to be in the formulation of added viscous damping rather than the choice of model values for drag coefficients.Copyright © 2005 by ASME
PRIMER ON USING NEURAL NETWORKS FOR FORECASTING MARKET VARIABLES

Ability to forecast market variables is critical to analysts, economists and investors. Among other uses, neural networks are gaining in popularity in forecasting market variables. They are used in various disciplines and issues to map complex relationships. We present a primer for using neural networks for forecasting market variables in general, and in particular, forecasting volatility of the S&P 500 Index futures prices. We compare volatility forecasts from neural networks with implied volatility from S&P 500 Index futures options using the Barone-Adesi and Whaley (BAW) model for pricing American options on futures. Forecasts from neural networks outperform implied volatility forecasts. Volatility forecasts from neural networks are not found to be significantly different from realized volatility. Implied volatility forecasts are found to be significantly different from realized volatility in two of three cases.
Analysis Sex Determination to Forensic Aspect Use Maxillary Sinus Measurement by CBCT: A Pilot Study

Analysis sex determination is an important to identification unknown person. CBCT scan can be used to analyzing a dimension in skeletal and for sex estimation when other methods are inconclusive using morphometric aspects, for example through maxillary sinuses can be performed the sex prediction. This study was conducted to estimate the size of the different dimensions of the maxillary sinus to sex determination of an individual by measuring the height, width, length and volume of the maxillary sinus using CBCT in Indonesia. The study of CBCT analysis scan from 20 subject (10 male and 10 female) shows that the potential high score parameter of p value is 0,00 < 0,05 on SI right, MSV right, AP left and MSV Left. It can be used to the prediction of sex determination. Binary logistic regression can be performed 85% from four parameter (SI right, MSV right, AP left and MSV Left) and the result more likely to male. Different result of discriminat function analysis showed the prediction to sex determination use maxillary sinus have percentage 80% to both group. The maxillary sinus measurements are valuable parameters for sex determination in forensic odontology, with a relatively good accuracy rate.
Structuring Materiality: Design Fabrication of Heterogeneous Materials

What happens when we invert the usual sequence of the design process - form-structure-material - so materiality becomes the generative driver? Taking nature as her model, Neri Oxman advocates a new material method, Variable Property Design (VPD), in which material assemblies are modelled, simulated and fabricated with varying properties in order to correspond with multiple and continuously shifting functional constraints. Copyright © 2010 John Wiley & Sons, Ltd.
Application of Project Time Management Tools and Techniques to the Construction Industry in the Gaza Strip

The objective of this paper is to investigate the level of applying theproject time management tools and techniques by public ownersand construction contractors in the Gaza Strip. This study hasbeen conducted by means of a survey questionnaire. Seventythreequestionnaires were distributed to target constructioncontractors and twenty-five questionnaires to public owners. Sixtycompleted questionnaires from contractors and twenty-threequestionnaires from public owners were received and analysed.The survey results indicated that contemporary project timemanagement tools and techniques are not widely used amonglocal contractors and owners. Lack of subcontractor’s knowledgeand awareness of the importance of project time managementtools and techniques are still major obstacles toward the efficientutilisation of such tools. This study recommended that there is anurgent need to establish a professional industry body such as anInstitute of Building to review and evaluate existing local projectmanagement practices. This professional body may be establishedby the government through the Ministry of Housing and PublicWorks or by the local university in cooperation with a similarinternational professional industry body. Current training effortshould be tailored to encourage owners and contractors to usework breakdown structures, resource optimisation, and networkscheduling.
Tables of Chebyshev impedance–transforming networks of low-pass filter form

Tables of element values are presented for lumped-element Chebyshev impedance-transforming networks, as are tables giving the Chebyshev passband ripple of each design. These circuits consist of a ladder network formed using series inductances and shunt capacitances; they give a Chebyshev impedance match between resistor terminations of arbitrary ratio (designs with resistor termination ratios from 1.5 to 50 are tabulated). The responses of these networks have moderately high attenuation at dc (the amount of attenuation depends on the termination ratio); their attenuation then falls to a very low level in the Chebyshev operating band, and then rises steeply above the operating band in a manner typical of low-pass filters. Designs having operating-band fractional bandwidths ranging from 0.2 to 1.0 are given. These impedance-transforming networks can be realized in lumped-element form for low-frequency applications, and in semilumped-element form (such as corrugated waveguide) at microwave frequencies.
Enterprisewide Information Management System for Transportation Right-of-Way Activities

Given the current state of technology–with service-oriented architecture, decentralized information, and desktop access to cloud computing and data management–enterprise systems for managing the information associated with business operations are necessary for improving efficiency and quality while optimizing resources. In transportation agencies, this situation is particularly true in the data-intense real estate offices that purchase and manage right-of-way property before construction. A structure is presented for a logical model of an enterprisewide information management system for transportation right-of-way activities. The business processes are based on the federal requirements as mandated by law and outlined in the Project Development Guide of FHWA's Office of Real Estate Services for appraisal, acquisition, relocation, and property management. The logical model is developed with the use of unified modeling language, which is considered to be a standard computer system modeling language rich in well-defined graphical notations for representing complex systems and provides the structure for developing an operational information management software program.
Concrete-Filled Tubular Arch Bridges in China

In China, concrete-filled tubular steel structures have been the subject of research and development for more than thirty years. The theoretical bases and methods of calculation for these structures have been revised in recent years based on advances in the study of experimental behavior and analysis of failure mechanisms. Many research achievements have been transferred to design and construction practices in China, resulting in a broad range of concrete-filled tubular steel structures for industrial buildings, electricity transmission masts, platform columnss in underground railways, and for arch bridges. The application of concrete-filled tubular structures to bridges, especially arch bridges, effectively exploits the advantages of this composite system.
Disease spreading and borderless scientific cooperation: the case of 'Candidatus Phytoplasma phoenicium'

Almond witches’ broom (AlmWB) is one of the most threatening phytoplasma diseases of peach and almond trees. ‘Candidatus Phytoplasma phoenicium’ is the pathogen associated with the disease in Iran and Lebanon, two countries where outbreaks have been officially reported. The disease has rapidly spread and caused severe damage in peach orchards in Lebanon and killed over a hundred thousand almond trees in Iran. All Mediterranean countries are very concerned about keeping AlmWB out of their territories in which peach and other stone fruits are widely cultivated. The EPPO Pest Risk Analysis (PRA) for AlmWB underlined the need for an efficient protocol for the reliable detection and identification of the associated pathogen.