Miracle-dz/UniFAR-FTUs huggingface dataset:
The Contribution of Outdoor Education Activities to Enhance Indonesian Bullying Victims’ Resilience

This study is objectively intended to recognize the contribution of outdoor education activities on the students’ resilience. Appropriate interventions are needed to enhance the resilience of elementary school students in the effort to overcome bullying. This study employed an experimental method with a one-group pretest-posttest design. The study’s participants consisted of 278 students (187 males of an average age of ±11.4 years, 91 females of an average age of ±11.6 years) from four schools at Cimahi. This study is an experimental research with one-group pretest-posttest design. Interventions were administered in 2-hour meetings over a 14-week period. The outdoor education activities implemented as interventions included hiking, climbing, orienteering, outdoor game, and camping. The research instrument employed was the Resilience Scale. The Paired Sample Test showed the significance level 0,000 < 0,05, it means that there was a significant improvement in the elementary school students’ resilience gained through the outdoor education activities. By this improvement, it is expected that outdoor education activities can equip the students psychologically to overcome any kind of bullying demeanor. In conclusion, the outdoor education activities could enhance the bullying victims’ resilience as the result showed that the implementation of outdoor education activities significantly effects on the students’ resilience.
GaN Based S-Band 500W Solid State Power Amplifier (SSPA) Module for Troposcatter Communications

S-Band Troposcatter communication requires a linear high power 2 kW SSPA. The desired SSPA needs to be realized by phase combining 500 W Power Amplifier Modules (PAMs). The paper provides the design and development of a GaN based wideband Solid State Power Amplifier (SSPA) PAM module with RF output 500 watts or +57dBm. The system utilizes modular design approach using 300W SSPA Pallet as the basic building block. The amplifier device Cree GaN HEMT CGH21240F, in class-AB bias, was selected for realization of basic amplifier. The I/p and O/p matching circuits were designed and simulated in ADS software. 30 mil Rogers RO4350 substrate was used for fabrication of PCBs. The output RF power up to +57 dBm and good linearity with Power Added Efficiency (PAE) around 40 percent was achieved.
Robust Detection of Presence of Individuals in an Indoor Environment Using IR-UWB Radar

In this paper, we propose a robust detection method to determine the presence of individuals in an indoor environment by exploiting an impulse-radio ultra-wideband (IR-UWB) radar. Detection of the presence of individuals in an indoor environment using IR-UWB is not a trivial problem because real indoor environments provide heavy clutter components and spurious ones due to multipath effects. The study mainly discusses two difficulties involved in detecting an individual in an indoor environment, namely, how to reduce the clutter in an indoor environment and how to detect a very low radar cross section (RCS) target, i.e., an individual lying down. To reduce clutter components in indoor environments, we investigated several clutter reduction techniques in terms of detecting a standing individual and an individual lying down. However, even after clutter reduction, detection of an individual lying down continues to pose a challenge. Thus, we devised a novel two-stage detection scheme that first involves detection in the range domain, and then in the frequency domain, thereby resulting in good detection performance in terms of a high detection rate and a low false alarm rate. The proposed method was demonstrated by experiments in indoor environments, and the results indicate that its performance is robust in various scenarios.
Security Enhancement for RRAM Computing System through Obfuscating Crossbar Row Connections

Neural networks (NN) have gained great success in visual object recognition and natural language processing, but this kind of data-intensive applications requires huge data movements between computing units and memory. Emerging resistive random-access memory (RRAM) computing systems have demonstrated great potential in avoiding the huge data movements by performing matrix-vector-multiplications in memory. However, the nonvolatility of the RRAM devices may lead to potential stealing of the NN weights stored in crossbars and the adversary could extract the NN models from the stolen weights. This paper proposes an effective security enhancing method for RRAM computing systems to thwart this sort of piracy attack. We first analyze the theft methods of the NN weights. Then we propose an efficient security enhancing technique based on obfuscating the row connections between positive crossbars and their pairing negative crossbars. Two heuristic techniques are also presented to optimize the hardware overhead of the obfuscation module. Compared with existing NN security work, our method eliminates the additional RRAM writing operations used for encryption/decryption, without shortening the lifetime of RRAM computing systems. The experiment results show that the proposed methods ensure the trial times of brute-force attack are more than (16! )17 and the classification accuracy of the incorrectly extracted NN models is less than 20%, with minimal area overhead.
Effective Write Disturbance Mitigation Encoding Scheme for High-density PCM

Write Disturbance (WD) is a crucial reliability concern in a high-density PCM with below 20nm scaling. WD occurs because of the inter-cell heat transfer during a RESET operation. Being dependent on the type of programming pulse and the state of the vulnerable cell, WD is significantly impacted by the data patterns. Existing encoding techniques to mitigate WD reduce the percentage of a single WD-vulnerable pattern in the data. However, it is observed that reducing the frequency of a single bit pattern may not be effective to mitigate WD for certain data patterns. This work proposes a significantly more effective encoding method which minimizes the number of vulnerable cells instead of a single bit pattern. The proposed method mitigates WD both within a word-line and across the bit-lines. In addition to WD-mitigation, the proposed method encodes the data to minimize the bit flips, thus improving the memory lifetime compared to the conventional WD-mitigation techniques. Our evaluation using SPEC CPU2006 benchmarks shows that the proposed method can reduce the aggregate (word- line+bit-line) WD errors by 42% compared to the existing state- of-the-art (SD-PCM). Compared to the state-of-the-art SD-PCM method, the proposed method improves the average write time, instructions-per-cycle (IPC) and write energy by 12%, 12% and 9%, respectively, by reducing the frequency of verify and correct operations to address WD errors. With reduction in bit flips, memory lifetime is also improved by 18% to 37% compared to SD-PCM, given an asymmetric cost of the bit flips. By integrating with the orthogonal techniques of SD-PCM, the proposed method can further enhance the performance and energy efficiency.
Loneliness and Psychological Well-being of Elderly in Community

Introduction: As one gets older, health problems also increase, one of the problems was loneliness. The phenomenon of loneliness was very important because loneliness has an impact on quality of life and psychological well-being on elderly. The purpose of this study to determine correlation between loneliness and psychological well-being of elderly living in community.Method: This was correlational study with cross-sectional approach. Total respondents were 152 elderly aged 60-70 years at Kelurahan Sananwetan Kota Blitar. This research was collected by cluster random sampling. Independent variable in this research was loneliness, while dependent variable was psychological well-being. Data was collected by using UCLA Loneliness Scale Version 3 by Rusell (1996) questionnaire and Scale of Psychological Well-Being by Ryff (1989) questionnaire, then analyzed by spearman rho correlation statistical test with significance level at p ≤ 0.05Result: The result showed that value of p = 0.000 and r = -0,864 that indicate a significant negative correlation between loneliness and psychological well-being in elderly.Conclusion: Loneliness was an indicator of individual psychological well-being, this means individuals who felt loneliness would have reduced their level of well-being or happiness. Otherwise individuals who were not loneliness would be prosperous or happy in their lives. So, that nurses should support elderly person to be active. Further research should make some schedule like exercise or gardening so that loneliness would be decrease and psychological well-being would reduced.
Development of Non-Volatile Tunnel-FET Memory as a Synaptic Device for Low-Power Spiking Neural Networks

Spiking neural network (SNN) has attracted much attention as next-generation neural networks. To realize SNN, the spike-timing-dependent plasticity (STDP) is one of the critical characteristics. In this study, we demonstrated the STDP of a biological synapse with non-volatile tunnel-field-effect transistor (FET) memory. Tunnel FET is a promising candidate to reduce the power consumption owing to the steep subthreshold characteristics. Therefore, non-volatile tunnel-FET memory we proposed has the possibility to realize low-power SNN. This paper reported the current-voltage characteristics, the memory window. , and the STDP characteristics of the nonvolatile tunnel-FET memory.
Seeking Relevant Information Sources

In this paper we deal with the problem of seeking relevant information sources selected from scientific or other electronic publications. In the era of information surfeit, it is getting more and more difficult to extract relevant and reliable sources of information from the huge number of e-sources. The starting point is user’s query for a given concept or topic. Our algorithm applies machine learning methods in order to propose hypothetic explications of the sought terms based on pieces of information extracted from the potentially relevant e-sources. Hypotheses, formalized in the TIL-Script language, are incrementally built by applying heuristic functions. The user thus obtains as closed approximations of the meaning of the sought terms as possible that at the same time provide fine-grained keyword definitions. As a result, it should be much easier to decide which of the e-sources are relevant for user’s interest.
Permanent Magnet Synchronous Motor Control Algorithm Based on Mathematical Model Considering Time Delay Link

This paper focuses on a class of control system of permanent magnet synchronous motor (PMSM) with the time delay link. Because of the delay of the inverter, the delay of the conditioning circuit, and the dead zone, there is a time delay between the input voltages of the motor and the output voltages of the controller. However, this time delay link is ignored in conventional vector control algorithms with respect to the d-q model, which inevitably leads to poor system stability and even divergence. In order to solve this problem, a novel control algorithm based on the mathematical model considering the time delay link is proposed in this paper. On one hand, the nonlinear time delay link is linearized and converted into a first-order inertial link through the Taylor series expansion method. Thus, nonlinear d-loop and q-loop are linearized. But the systems are changed into second-order systems. On the other hand, proportional-integral (PI) controllers with respect to the third-order optimum design method are designed to solve the design problem of controllers for higher-order systems than the conventionally d-q model. Experimental results show that the control algorithm proposed in this paper has good system stability with small current fluctuations, torque fluctuations, and speed fluctuations.
BSIM-IMG: Advanced Model for FDSOI Transistors with Back Channel Inversion

FDSOI devices are prominently used in low power circuits and high frequency domains due to their superior RF and analog performance, thanks to back-bias capability and relatively ease of transistor design over FinFETs and planar bulk transistors. BSIM-IMG is the industry standard compact model for simulating FDSOI devices. In this work, we will discuss recent enhancements made in the BSIM-IMG model for accurate modeling of the FDSOI transistors. The back gate inversion is more physically modeled in the latest BSIM-IMG model. We will present a new 1/f noise model, which is validated with the experimental data. Improved output conductance, mobility and gate current models are also discussed. All the enhancements are done in such a way that benchmark RF figure of merit are met.
Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Rapid industrialization and its automation on the globe demands increased generation of electrical energy with more reliability and quality. Renewable energy (RE) sources are considered as a green form of energy and extensively used as an alternative source of energy for conventional energy sources to meet the increased demand for electrical power. However, these sources, when integrated to the utility grid, pose challenges in maintaining the power quality (PQ) and stability of the power system network. This is due to the unpredictable and variable nature of generation by these sources. The distributed flexible AC transmission system (DFACTS) devices such as distributed static compensator (DSTATCOM) and dynamic voltage restorer (DVR) play an active role in mitigating PQ issues associated with RE penetration. The performance of DFACTS devices is mostly dependent on the type of control algorithms employed for switching of these devices. This paper presents a comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration. This review intends to provide a summary of the design, experimental hardware, performance and feasibility aspects of these algorithms reported in the literature. More than 170 research publications are critically reviewed, classified, and listed for quick reference for the advantage of engineers and academician working in this area.
A Fog Based Approach for Hazards Differentiation in an IIoT Scenario

Industrial control systems (ICS) are applied in many critical infrastructures. Reducing reconfiguration time after hazard leads to safety improvement, so it is one of the most important objectives in these systems. Hazards can be due to the “system failure” or “cyber-attacks” factors. One of the procedures that can reduce the reconfiguration time is determining as soon as possible the cause of hazards based on the above mentioned factors. Differentiation of attack from failure without redundant data in addition to data from the system sensors is not possible. With advent of the IoT as IIoT, a condition is developed to provide the required redundant data; however, by increasing the number of IIoT devices within a factory, the generated data volume becomes too large. In this paper we describe a fog-based approach applied in a factory to deal with such increasing complexity. We compare the proposed method with a traditional cloud-based solution. According to the results, the proposed method leads to a reduction of 60% lost time in the recovery reconfiguration step of the system.
Chemoprevention of Familial Melanoma

Bleaching agents 4-tertiary butyl phenol (4-TBP) and monobenzyl ether of hydroquinone (MBEH) have been known to cause occupational vitiligo This project answers whether agents 4-TBP and MBEH can be used for prophylactic treatment of familial melanoma by being specifically toxic to melanocytes and activating an immune response against distant pigment cells. Cytotoxic experiments reveal that similar to 4-TBP, MBEH induces specific melanocyte death. To compare death pathways initiated by 4-TBP and MBEH, classical apoptotic hallmarks were evaluated in treated melanocytes. MBEH induced cell death without activating the caspase cascade or DNA fragmentation, showing that the death pathway is non-apoptotic. Release of High Mobility Group Box-1 protein by MBEH-treated melanocytes and ultrastructural features further confirmed a necrotic death pathway mediated by MBEH. A negative correlation between MBEH-induced cell death and cellular melanin content supports a cytoprotective role for melanin. Moreover, MBEH exposure upregulated the levels of melanogenic enzymes in cultured melanocytes whereas 4-TBP reduced the expression of the same. Insensitivity of melanoma cell lines to either agent in comparison with melanocytes further supported the need for prophylactic therapy. Successful prophylaxis will likely require a systemic immune response in order to eradicate all melanocytes; therefore, immune infiltrates in response to these agents was assessed in vivo. C57BL/6 wild type as well as k14-SCF transgenic, mice were topically treated with either agent. MBEH induced significant skin depigmentation in both strains, not observed upon 4-TBP treatment. A significant increase in the migration of Langerhans cells towards the dermis in human skin explants, upon MBEH treatment, suggested selective elicitation of an immune response. Cytokine expression patterns in skin treated with MBEH supported activation of a Th1-mediated immune response corresponding to an influx of T cells and macrophages. Importantly, despite insensitivity of tumor cells to MBEH-induced cytotoxicity, significantly retarded tumor growth was observed in B16 challenged k14-SCF mice pretreated with MBEH, likely due to an abundance of cytotoxic T cells accompanied by an increased expression of Th1 and Th17 cytokines. In conclusion topical application of MBEH and not 4-TBP generates a two tierd response that constitutes a candidate prophylactic treatment of familial melanoma.
Developing new methods for the application of cross prediction, QTL analysis and comparisons of breeding strategies

With the increased availability of molecular marker and gene sequence information, a major challenge for plant breeders is how to incorporate this information to increase genetic gain through improvements in both crossing and selection decisions. Simulation allows testing and development of new methods now, i.e. before breeding programs have the data needed to apply such methods in practice. This paper outlines software applications that have been built around the existing QUGene genetic simulation platform. Three examples are given: (1) prediction of inbred phenotypes from simple and complex crosses while accounting for linkage and additive, epistatic, environmental and error effects (example for wheat); (2) comparisons of direct and indirect selection to facilitate the testing of novel QTL analysis and selection scenarios (leaf growth in maize); (3) accounting for genetic and physiological pleiotropy via the integration of genetic and crop simulation tools (maize). A user interface (http://www.uq.edu.au/lcafs/qugene/) has examples of scenarios in these areas of plant breeding and provides a complete set of tools to utilise genetic map and QTL effect information via simulation. While the system can run on a single computer, it has been designed to run on dedicated or ‘virtual’ computer clusters (up to 2000 computers within CSIRO) and incorporates a series of high-speed database and visualisation tools that also provide output to common data formats.
Nucellus deformation in sweet cherry primary ovules at anthesis

Low yield is the main problem in many sweet cherry growing areas. Yield occurs with effective fruit set under favourable conditions. Development of floral organs at anthesis must be completed to realize sweet cherry fruit set. Especially, developmental stage of sweet cherry ovules at anthesis is related with fruit set. In this study, nucellus of primary ovules at anthesis was studied for two consecutive years in ‘0900 Ziraat’ sweet cherry variety and its clones (4503, 4218, 3501, 3503 and 3201) grafted on Gisela 5 and Mazzard seedlings rootstocks. Nucellus not completed in the interior of integuments was observed at anthesis stage. It was found that there was a statistically significant difference between the nucellus deformations of ‘0900 Ziraat’ and that of its clones. In addition, rootstocks were found to be partially effective on nucellus deformations
Research on reproductive function in sheep intensification by early introduction to mount young sheep.

This paper is an analysis of the precocity young sheep of breed Merino Palas, Ţigaie and halfsbreeds. Research has been performed on a number of 290 young sheep. They were introduced in the reproductive cycle with about 10 months early. The results were compared with those in the literature. It is found that the average age of entry to breeding, at young sheep of breed Merino Palas, is 8.19 months, with an average weight of 38.24 kg, the percentage of mounted young sheep is 90% and lambing 57.5% with a prolificity of 115%. Using mount early and supervision sexual cycle in young sheep to create the possibility of increasing the number of lambs from a sheep.
Immobilization of bacteriophages for the control and detection of food-borne pathogens

IMMOBILIZATION OF BACTERIOPHAGES FOR THE CONTROL AND DETECTION OF FOOD-BORNE PATHOGENS Jennifer Sohar Advisor: University of Guelph, 2014 Dr Mansel Griffiths Immobilized phages may provide diverse opportunities to control and detect food-borne bacterial pathogens. Piezoelectric printing was used to immobilize phages AG6, AG10, AG11 and AG20 on ColorLok paper for the development of bioactive packaging material. The individual phagebased papers resulted in log10 reductions in count of 0.28, 2.68, 2.11 and 3.89 cfu/ml for Salmonella Typhimurium, Salmonella Enteritidis, Escherichia coli O157:H7 and Listeria monocytogenes, respectively. The printed phage-based paper stored at room temperature and 8085% RH was not stable after one month. Phage amplification assays for rapid detection of E. coli O157:H7 were developed using rV5 phage electrostatically immobilized on APTS modified magnetic silica beads. Detection limits were 11-25 cfu/ml for a continuous phage amplification assay and 100-200 cfu/ml in a phage capture-amplification assay. Results were obtained within approximately 8 h. Immobilized phages have great potential to help ensure food safety.
Estimating net primary productivity of Chinese pine forests based on forest inventory data

Summary Forest inventory data (FID) include forest resources information at large spatial scale and long temporal scale. They are important data sources for estimating forest net primary productivity (NPP) and carbon budget at landscape and regional scales. In this study, more than 100 datasets of biomass, volume, NPP and stand age for Chinese pine forests ( Pinus tabulaeformis ) from the literature were synthesized to develop regression equations between biomass and volume, and between NPP and biomass as well as stand age. Using these regression equations and the fourth FID surveyed by the Forestry Ministry China from 1989 to 1993, NPP values of Chinese pine forests were estimated. The mean NPP of Chinese pine forests was 4.35 Mg ha − 1 yr − 1 . NPP varied widely among provinces, ranging from 1.5 (Neimenggu) to 13.73 Mg ha − 1 yr − 1 (Guizhou). Total NPP of Chinese pine was 10.87 Tg yr − 1 (1 Tg = 10 12 g). NPP values of Chinese pine forests were not distributed evenly across different provinces in China. This study may be useful not only for estimating forest carbon of other forest types but also for evaluating terrestrial carbon balance at regional and global levels.