Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a method for assessing forecast of social impact in regional communities

The development of the social aspect of the world community is closely related to the expansion of the range of digital services in cyberspace. A special place in which social networks occupy. The world's leading states are conducting information operations in this environment to achieve geopolitical goals. Such processes are reflected in real social and political life. This makes it possible to influence not only the social groups of society, but also to ensure manipulation in political "games" in the conduct of hybrid wars. The simultaneous interaction of social factors, influencing factors, the presence of communities in social networks forms a full-fledged socio-cyber-physical system capable of integrating real and virtual interactions to manage regional communities. The article proposes a method for predicting the assessment of social mutual influence between “formal” and “informal” leaders and regional societies. The proposed models make it possible to form not only a forecast of the influence of agents, but also the interaction of various agents, taking into account their formal and informal influences, the use of administrative resources, political moods of the regional society. This approach allows dynamic modeling based on impact and relationship analysis. The presented results of simulation modeling do not contradict the results of opinion polls and make it possible to form a set of measures that can be aimed at overcoming the negative impact on the regional society of both individual “leaders” and political parties. Analysis of the simulation results allows to increase both the political and social stability of the regional society, helps to prevent conflict moods and contradictions.
An Electromagnetic-Transparent Cascade Comb Dipole Antenna for Multi-Band Shared-Aperture Base Station Antenna Array

In multi-band shared-aperture base station antennas, cross-band mutual couplings always lead to unwanted radiation characteristics. In this paper, influence of the cross-band mutual coupling is investigated from the point view of induced currents and its secondary radiation fields. A low-band (L-band, 0.76-0.88 GHz) cascade comb dipole antenna is proposed to passively cancel the induced current and therefore suppress the secondary radiation field. Owing to the passive current cancellation capability, the proposed L-band cascade comb antenna does not affect the radiation performance of the middle-band (M-band, 1.9-2.7 GHz) and high-band (H-band, 3.3-3.9 GHz) antennas in stacked multi-band shared-aperture antenna arrays. The proposed L-band antenna are thus electromagnetic-transparent to the M-band and H-band antennas. Based on the novel electromagnetic-transparent cascade comb dipole antenna, a triple-band shared-aperture antenna array that consists of the L-band, M-band, and H-band antennas are developed, manufactured and measured. Both simulated and measured results validate the attractive features of the cascade comb dipole antenna in multi-band shared-aperture massive MIMO base station antenna array developments.
Blended Learning and Teacher Preparation Programs

Blended learning is increasingly being adopted at all levels of the educational system. It continues to gain primacy in the teaching and learning environment as both students and teachers seek to integrate familiar information communication technology (ICT) into their classroom activities. Additionally, it allows the teacher, as a facilitator of learning, and the learner, the opportun'ities of working in both the face-to-face and online environments. This paper provides a basic review of blended learning and some ways 'it may be used in teacher preparation programs to support the effective integration of ICT within the classroom environment.
Crystallite size of the graphitic phase in soot ink based on historic recipe: A potential dating tool for old manuscripts

In this paper, we report the crystallite size of the graphitic phase observed in a soot ink sample prepared based on an original Ottoman recipe in the 18th century for the first time. Intensity ratio of the D and G bands that were observed at 1384 and 1609 cm-1 respectively, revealed that the crystallite size is 24.33 nm. This corresponds to a carbon phase between graphitic and well graphitic stage. We strongly believe that this could be further used particularly for dating purposes by investigating carbon-black pigments which we have not encountered its consideration in the literature for mainly manuscripts. Here, we especially propose using the Tuinstra-Koenig relationship together with the consideration of D and G band profiles to derive the crystallite size of the graphitic phase observed in soot ink and other various carbon-black inks for the purpose of manuscript dating.
Explicit Formulation of Magnetic Fields Effects on Skin Collagen Synthesis Via Neural Networks

It is well known that the electricity and electrical equipment which emits electromagnetic fields (EMFs) are used increasingly. Thus many people are subjected to environmental extremely-low-frequency -especially 50-60 Hz- electromagnetic fields. This study focused on two purposes: First one was planned to observe experimentally whether the skin of guinea pigs was affected by magnetic fields by determining the collagen synthesis in the skin exposed to 50 Hz magnetic fields of 1 mT, 2 mT and 3 mT with the periods of 4 hours/day and 8 hours/day for 5 days which were determined by Woessner’s method. Secondly, it was aimed to get analytical expression to model the ELF effect on hydroxyproline concentrations in the skin using Neural Networks (NNs). One of the important tasks regarding these types of studies, there will be no need to extent the experiments for different range of EMFs exposing animals although the experimental results serve as a database for researchers. The experimental results as learning data and the training of the feed forward NN are applied to neural networks by using a novel approach for the selection of optimal NN architecture. The accuracy of the chosen optimal NN model is defined by standard deviation STD=0.03 and correlation coefficient R=0.98 which is found to be quite high.Thus parametric studies as a formulation are performed to see the influence of each param eter by using the proposed NN model. At the end, this NN training causes to determine the EMFs effect on tissues without exposing tissues to EMFs and without using too many guinea pigs.
Intergenerational Transmission of Inequality in Psychological Health

Intergenerational transmission explains the continuity in behavior and personality of individuals across generations due to genetic as well as non-genetic causes. Both determinants affect individuals and increase their susceptibility to develop psychological health problems similar to the ones experienced by their parents. Psychological health of offsprings is impacted by their parents’ mental illness which causing children to be unable to adequately and positively contribute to their children’s healthy development. Extensive literature review depicts intergenerational transmission of various psychological conditions ranging from PTSD, depression, anxiety, conduct issues or even schizophrenia, among many others. Proposed models offering explanation of Intergenerational Transmission point towards social learning theories, attachment theories, psychodynamic theories and Integrative theories which mentions an overlap between genetic and environmental factors to explain the transmission. Intervention strategies of early detection and intervention, working with the affected parents and including family in therapy have been discussed. Working on the parent-child relationship, building resilience, promoting building up of protective factors is also mentioned as intervention techniques. Finally, some limitations and directions of future researches have been proposed.
Effectiveness of Google Classroom and Edmodo in online learning during the COVID-19 pandemic among pharmacy students of Health Polytechnic of Health Ministry Kupang, Indonesia

Objective: This study aims to determine the effectiveness of using Google Classroom and Edmodo in online learning during the Covid-19 pandemic. Method: This research is quantitative research. The sample was pharmacy students of the Health Polytechnic of Ministry of Health in Kupang of 2019 and 2020 cohort, with a total of 145 people. Data were collected using a questionnaire. Results: One hundred and twelve (72%) students stated that the use of Google Classroom in online learning during the Covid-19 pandemic had been effective, thirty-two (22%) students stated that the learning was very effective, and eleven (6%) students stated that the learning was not effective because they were confused by the available features. They also need a stable internet network, especially when downloading learning video materials. Student assessments using the Edmodo learning media showed one hundred and one (69%) students said it was effective, twenty-six (18%) students said it was very effective, and eight (13%) stated that it was not effective because of difficulty of reading features in English and there was no direct online syntax available on Edmodo. Conclusion: The results showed that Google Classroom and Edmodo could be effectively applied in online learning during the COVID-19 pandemic.
Evaluation of Intelligent Exploitation Tools for Non-structured Police Information

While already having at their disposal an array of advanced and task-specific tools for the gathering, dispersal and exploitation of highly structured information, the Belgian Federal Police (BFP) are now shifting attention to novel technologies for exploiting vast amounts of unstructured information sources, from which further knowledge could be obtained for analysis purposes. The aim of the INFO-NS research project is to provide an objective study of the applicability of mining and decision support tools for the BFP. More specifically, it is studied whether information retrieval, extraction and classification tools might leverage intelligence and decision support while exploiting the information that is contained in vast amounts of free text material and linking it with any coexisting, structured data sets that are currently in use. This article provides an insight into the requirements of the BFP with regard to a like decision support system, and presents one aspect of evaluation criteria aimed at testing the functional conformity of such tools against a set of functional requirements.
Dynamic Stress Analysis of Long Suspension Bridges under Wind, Railway, and Highway Loadings

Computation of the dynamic stress of long suspension bridges under multiloadings is essential for either the strength or fatigue assessment of the bridge. This paper presents a framework for dynamic stress analysis of long suspension bridges under wind, railway, and highway loadings. The bridge, trains, and road vehicles are respectively modeled using the finite-element method (FEM). The connections between the bridge and trains and between the bridge and road vehicles are respectively considered in terms of wheel-rail and tire-road surface contact conditions. The spatial distributions of both buffeting forces and self-excited forces over the bridge deck surface are considered. The Tsing Ma suspension bridge and the field measurement data recorded by awind and structural health monitoring system (WASHMS) installed in the bridge are utilized as a case study to examine the proposed framework. The information on the concerned loadings measured by the WASHMS is taken as inputs for the computation simulation, and the computed stress responses are compared with the measured ones. The results show that running trains play a predominant role in bridge stress responses compared with running road vehicles and fluctuating wind loading. DOI: 10.1061/(ASCE)BE.1943-5592.0000216. © 2011 American Society of Civil Engineers. CE Database subject headings: Stress; Bridges, suspension; Structural reliability; Monitoring; Wind loads; Bridges, highway; Bridges, railroad.
PENERAPAN SLiMS PADA LAYANAN SIRKULASI DI PERPUSTAKAAN PERGURUAN TINGGI

Tujuan dilakukannya penelitian ini adalah: (1) untuk mengetahui penerapan SLiMS pada layanan sirkulasi di perpustakaan Perguruan Tinggi telah berjalan secara optimal; (2) untuk mengetahui adakah masalah dalam penerapan SLiMS pada layanan sirkulasi di perpustakaan Perguruan Tinggi. Penelitian ini termasuk kedalam metode analisis deskriptif dengan pendekatan kualitatif. Hasil penelitian ini adalah dengan penerapan SLiMS sangat membantu sekali dalam layanan perpustakaan khususnya layanan sirkulasi. Software ini juga sangat membantu mahasiswa dalam pelayanannya sebagai pemustaka dan meringankan pekerjaan serta meningkatkan performa pustakawan.
Structured Ultrasonic Metasurfaces

Metamaterials are emerging as a futuristic engineered material with unusual electromagnetic properties for novel and unusual applications. Ultrasonic Metamaterial enables to design materials for unusual ultrasonic properties such as total transparency or reflection to ultrasonic acoustic waves. Ultrasonic acoustic waves usually encounter interfaces with significant impedance mismatch in practical medical or industrial imaging applications. A transparent interface can help to improve the performance of medical and industrial imaging and overall innovative applications. Similarly, a broadband total reflection interface can help to improve the architectural or transportation barrier acoustics. This paper examines the structured ultrasonic metasurfaces for improved transparency or reflection. The ultrasound wave propagation in a typical two phase material interface is modeled in COMSOL. The interface is numerically explored with designer shapes for reduction in impedance mismatch by interactive wave effects. The input and out energy is compared as a function of metasurface features. The geometry and acoustical property effects on the transmission coefficient are predicted and reported. The results and discussion section include practical implementation issues and potential applications.
Voltage Stability Analysis of a 16-bus Distribution Network Based on Voltage Sensitivity Factor

Instability in a power system may be manifested in many different ways depending on the system configuration and operating mode. Voltage instability in power distribution systems could lead to voltage collapse and thus power blackouts. It is required to know the strength of the buses to improve the stability of the system. This paper analyzes and discusses the performance of static voltage stability of a 16 bus test system by varying the loadability with different sensitivities of distributed generation (DG). The synchronous generator, asynchronous generator and fuel cell are included in DG system. The performance analysis has been done by the simulation works using the DIgSILENT Power Factory 14.0. The analysis indicates a negative value of sensitivity with the increasing active power when using the asynchronous generator in various positions. The strength of different buses have been determined throughout the simulation according to the value of sensitivity and found that bus 7 is the weakest bus and bus 8 is the strongest bus. The increase in active power causes a decrease in loadability using asynchronous generator which shows no convergence in load flow after a certain value which means that the voltage is collapsed. So the placement of asynchronous generator in this test system is found inappropriate due to have lacking of reactive power.
Gamma-ray irradiation and post-irradiation responses of high dose range RADFETs

Gamma-ray irradiation and post-irradiation responses have been studied for the two types of radiation sensitive p-channel MOSFETs (RADFETs) from different manufacturers. In addition to, in dosimetric applications standard, threshold voltage measurements at a single specified current, transistor I-V and charge-pumping characteristics have been monitored. This has been shown to be useful in providing a more detailed insight into processes that occur during irradiation and subsequent annealing at elevated temperature. In particular, the role of switching oxide traps (also known as "border" traps) and electron traps in studied devices has been revealed.
High frequency response of amorphous tantalum oxide thin films

Amorphous tantalum oxide films were deposited using a pulsed dc reactive magnetron sputtering technique at low temperature (/spl les/200/spl deg/C). A test vehicle (metal-insulator-metal structure) was designed and fabricated for the high frequency characterization of the dielectric thin film. The dielectric constant and loss tangent of the amorphous tantalum oxide thin film were measured using dc, time domain reflectometry (TDR), and network analyzer up to 10 GHz. The measured dielectric constant and loss tangent was 22 and 0.007, respectively from 1 KHz to 10 GHz. The high frequency properties of the amorphous tantalum oxide thin film show little dispersion up to 10 GHz. However, the resonance oscillation due to the parasitics is evident between 10 GHz and 40 GHz and depends on the capacitor area. Modeling of the equivalent circuits would allow us to identify the parasitic components and their effects on the measured scattering parameters.
Synthesis, analysis, and revision of correct-by-construction controllers for robots with sensing and actuation errors

ion Threshold Collision-Free Runs Total Runs Percentage 0.25 8 9 0.8889 0.50 6 8 0.7500 0.75 7 11 0.6364 Table 5.1: Experiment results for 3 different abstraction threshold values. the case where they were driving behind it in the same lane (i.e., not to rear-end the autonomous vehicle). The three different paths for these drivers are shown in Figure 5.10. For the experiment, all three obstacle vehicles and the autonomous vehicle drove around the roadmap continuously, while the autonomous vehicle recorded it’s own pose and that of the obstacle vehicles, as well as the decisions made at each intersection. The data was then split into runs based on the 4 goal segments shown in Figure 5.3; each run consisted of the autonomous vehicle driving from one of the goal regions to the next goal (in numerical order). Split this way, each run consisted of precisely 8 intersections, where the autonomous vehicle queried the synthesized controller to make a decision regarding the next road segment. Table 5.1 shows the results (the number of collisionfree runs, the total number of runs, and the percentage of runs that were collision-free) for three different values of the abstraction threshold. As the abstraction threshold increases, the autonomous vehicle allows a higher probability of collision with the obstacles to be considered safe. As a result, the higher abstraction thresholds yield a smaller percentage of the total runs without collisions.
Antimicrobial Applications of Rhamnolipid Biosurfactant Produced from Achromobacter sp. (PS1) Isolate Using Lignocellulosic Hydrolysate

Heterogeneous mixture of partially purified rhamnolipid (RL) produced from Achromobacter sp. (PS1) using lignocellulosic rice straw (RS) sugar hydrolysate medium revealed six different congeners- Rha- C10-C10, Rha-C8-C10/Rha-C10-C8, Rha- C12-C10 / Rha- C10-C12, referring mono-rhamnolipids amounting to total 68.23 % and Rha-Rha-C10-C10, Rha-Rha-C8-C10/Rha-Rha-C10-C8, Rha-Rha-C10-C12/Rha-Rha-C12-C10, referring di-rhamnolipids amounting to 31.73 %, with Mono to Di- RL in the ratio of 2.1:1. This mixture's antimicrobial action containing more mono-rhamnolipids analyzed using broth macro-dilution method exhibited a broad-spectrum antibacterial activity showing ≥ 90 % growth inhibition of both Gram-positive and Gram-negative pathogenic bacteria at MIC ranging from 1.25 mg/mL to 10 mg/mL of total rhamnolipids. This might be due to the more hydrophobic character of mono-rhamnolipids containing a single rhamnosyl group and showing high surface activities. On the other hand, the non-antifungal activity may be attributed to the lower percentage of di-rhamnolipids in the partially purified mixture.
Challenges toward gigabit-scale spin-transfer torque random access memory and beyond for normally off, green information technology infrastructure (Invited)

If spin-transfer torque RAM (SPRAM) technology is used as a true nonvolatile RAM, it will be able to provide normally “off” and instant “on” functions. This would drastically reduce the power consumption of information technology (IT) equipment and its infrastructure while preserving high performance, thus leading to a green IT infrastructure. This paper describes the design issues and solutions for creating a Gb-scale SPRAM; scaling in memory cell current (∝F, F: feature size) and the tunneling magnetoresistive (TMR) device’s write current (∝F2), the maximum voltage applicable to a TMR device (TMR ratio and resistance area product are considered); and the thermal stability of the TMR device (depending on the operation mode and density). Moreover, the cell and array configurations and an indispensable disruptive reading operation are shown for 4F2DDRx compatible operations. SPRAM can cover a system composed of a DRAM region. Finally, the potential of a multibit memory structure that covers the area of a n.
Bioactive Titanium-Hydroxyapatite Composites by Powder Metallurgy Route

Titanium (Ti) and its alloys have become the most promising biomaterials due to their low elastic modulus, high corrosion resistance, and relatively long-lasting ability in a physiological environment. Bioactive implants enhance the tissue interactions at the surface of the implants and promote a higher healing rate. However, titanium exhibits bio-inert nature. Hence in the present study, hydroxyapatite (HA), a well-known bioceramic, has been selected to disperse into Ti with an aim to develop bioactive Ti-based implants. Ti-HA composites with 5% and 10% HA were successfully produced by high-energy ball milling for 20 h followed by sintering (at 850 °C). Fine-grained composites were successfully produced and were found to be free from any impurities. The composites were immersed in simulated body fluid (SBF) for 4 weeks to investigate the in vitro bioactivity. From the XRD studies and scanning electron microscope observations, the presence of HA in the composite enhanced the bioactivity as reflected with higher Ca/P mineral phases on the surface of the composites compared with pure Ti substrate. From the results, it can be concluded that the bioactive nature of Ti can be enhanced by reinforcing HA to manufacture medical implants with a higher healing rate.
Effect of Polymer Additives on the Microstructure and Mechanical Properties of Self-Leveling Rubberised Concrete

The materials based on concrete with an addition of rubber are well-known. The interaction between concrete components and rubber particles is in the majority cases insufficient. For this reason, different substances are introduced into concrete-rubber systems. The aim of this paper is to establish the influence of five different polymer additives, i.e., 1. an aqueous dispersion of a styrene-acrylic ester copolymer (silanised) (ASS), 2. water dispersion of styrene-acrylic copolymer (AS), 3. anionic copolymer of acrylic acid ester and styrene in the form of powder (AS.RDP), 4. water polymer dispersion produced from the vinyl acetate and ethylene monomers (EVA), 5. copolymer powder of vinyl acetate and ethylene (EVA.RDP)) on the properties of the self-leveling rubberised concrete. Scanning electron microscopy has allowed to establish the interaction between the cement paste and rubber aggregates. Moreover, the compressive strength and flexural strength of the studied materials were evaluated. The results indicate that the mechanical properties depend extensively on the type as well as the amount of the polymer additive introduced into the system.