Miracle-dz/UniFAR-FTUs huggingface dataset:
A Compact Dual-Band Four-Port Ambient RF Energy Harvester With High-Sensitivity, High-Efficiency, and Wide Power Range

The design of an ambient radio frequency (RF) energy harvesting system is introduced to replace the battery of the mass Internet-of-Things devices. This system can achieve high sensitivity with high efficiency over a wide input power range by optimizing the differential-drive cross-coupled (DDCC) rectifier and the load. The impedance of the dual-band four-port loop antenna array is directly conjugated to match with the rectifier, which reduces insertion loss of the matching network to improve efficiency. At 915 and 945 MHz for ISM and GSM bands, the rectenna can achieve high sensitivity of −30 dBm with 22% and 24% efficiency, high efficiency of 65% and 48% with −20-dBm input power, and a wide input power range from −30 to −18 dBm with 22–65% and 24–48% efficiency. The dual-band design explores the frequency diversity to harvest more RF energy from the environment, while the cross-shaped antenna array utilizes the space diversity to harvest RF energy from different directions with a compact size of <inline-formula> <tex-math notation="LaTeX">$0.15\lambda \times 0.15\lambda $ </tex-math></inline-formula> per antenna element (where <inline-formula> <tex-math notation="LaTeX">$\lambda $ </tex-math></inline-formula> is the free space wavelength at 915 MHz). This new harvesting system can provide output dc power of 21.4 and <inline-formula> <tex-math notation="LaTeX">$2.95~\mu \text{W}$ </tex-math></inline-formula> in real-world outdoor and indoor ambient environments, respectively.
THE DEFENSIVE–OFFENSIVE POLITICAL BEHAVIOR OF NORTH KOREA IN THE KOREAN PENINSULA

The study seeks to explain North Korea's political behavior that tends to act defensively and offensively which has often been represented as a dangerous country. Moreover, historically, the events of the Korean War that led to the breakup of Korea into two parts, the northern part that is associated with the Soviet Union and the southern part that is joined by the United States, makes the relationship between the two countries increasingly conflictual. Coupled with the formation of two axes of power since the collapse of the Soviet Union, North Korea is allied with its ideological one brother China, and South Korea is allied with the United States. The political escalation between the two countries continues to rise, resulting in the relationship of two becoming very conflictual, and because of that, the rivalry that is formed between the two countries raises various potential conflicts that couldn't be avoided. This research used the congruent method by used the balance of threat theory from Stephen Walt who argued that the state reacts to the perceived threat rather than power, and aims to balance it. The results found that North Korea's defensive - offensive actions were motivated by distrust of America-allied South Korea through several joint exercise programs on the peninsula that is considered a form of threat. Overall, the main argument of this research is the North Korea’s defensive - offensive actions are determined by the attitudes of South Korea and its ally the United States.
Large scale data analysis using MLlib

Recent advancements in the internet, social media, and internet of things (IoT) devices have significantly increased the amount of data generated in a variety of formats. The data must be converted into formats that is easily handled by the data analysis techniques. It is mathematically and physically expensive to apply machine learning algorithms to big and complicated data sets. It is a resource-intensive process that necessitates a huge amount of logical and physical resources. Machine learning is a sophisticated data analytics technology that has gained in importance as a result of the massive amount of data generated daily that needs to be examined. Apache Spark MLlib is one of the big data analysis platforms that provides a variety of outstanding functions for various machine learning tasks, spanning from classification to regression and dimension reduction. From a computational standpoint, this research investigated Apache Spark MLlib 2.0 as an open source, autonomous, scalable, and distributed learning library. Several real-world machine learning experiments are carried out in order to evaluate the properties of the platform on a qualitative and quantitative level. Some of the fundamental concepts and approaches for developing a scalable data model in a distributed environment are also discussed.
Risk Refraction: Thoughts on the Victim-Survivor’s Risk Journey through the Criminal Justice Process

The limits of inter-agency understandings of risk in the context of intimate partner violence are well documented. Informed by Hester’s (2011) ‘three planet’ analogy and using empirical data in one police force area in the south of England, this paper offers an exploration of intra-agency operations, focusing on police risk assessment practices. Exploring the policing risk lens and the victim-survivor journey together, findings highlight police operate with at least three risk assessment moments (call hander, front-line and Safeguarding Hub) and point to the tensions that result when failing to centralise victim-survivors’ own assessment of their risk. Using complexity theory, this paper examines the complex interplay of risk that occurs when the victim-survivor risk journey intersects with the policing aspect of the criminal justice process.
PENGARUH TINGKAT PENDIDIKAN TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN MOJOKERTO TAHUN 2000-2011

This study aims to find out the level of development of education and economic growth in Mojokerto regency from year 2000 to 2011 and to identify the effect of education level on economic growth in Mojokerto regency. The results of this study indicate that the economic growth in Mojokerto regency during the study period experiencing growth despite the growth is fluctuating where the highest growth occurred in 2011 at 7,14 percent . Growth of graduate education high school and university levels during the study period experienced significant growth which is the highest educational level dominated by of high school education compared to university because it is compulsory 9 years the government declared that the public was educated to high school level. Education level affects economic growth in Mojokerto regency where high school education level have significant positive effect while the university have not a significant positive effect on economic growth in Mojokerto. Keyword : Education level, Economic growth.
Finite Element Analysis of Horizontal Screw-Screw Crosslink Used in C1–C2 Pedicle Screw-Rod Fixation

Background In the craniocervical junction, a C1–C2 pedicle screw-rod (PSR) fixation is applied to provide stability. The horizontal rod-rod crosslink (hR-R CL) is often used to enhance segmental posterior instrumentation. However, the biomechanics of the alternative horizontal screw-screw crosslink (hS-S CL) in the craniocervical junction are unclear. Material/Methods A nonlinear atlantoaxial instability 3-dimensional C1–C2 finite element model was constructed using computed tomography images. On this basis, 2 fixation models were established with C1–C2 PSR fixation using (1) a rod-rod crosslink (R-R CL), and (2) a screw-screw crosslink (S-S CL). Range of motion (ROM) of the atlantoaxial joint, stress distribution of the implants, and maximum stress value of the vertebral bodies were calculated and compared under 4 loading conditions, including flexion, extension, lateral bending, and axial rotation. Results Atlantoaxial joint ROM was reduced by 90.19% to 98.5% with the hR-R CL, and by 90.1% to 98.7% with the hS-S CL, compared with the instability model. During axial rotation, the total stress peak of the PSR fixation was smaller with hS-S CL than with hR-R CL. The peak stress values of the vertebral bodies were comparable between the 2 fixation models. Conclusions The 2 tested crosslink models provided comparable stability. However, during axial rotation, the total stress peak of hS-S CL fixation was smaller than that of hR-R CL fixation. Since the atlantoaxial joint primarily functions as a rotational joint, our results suggested that the use of hS-S CL can provide a more stable environment for the implants.
Effect of Different Pre-Freezing Time on Quality of Frozen Fat-Tailed Ram Semen

This study aimed to determining the effect of temperature changes on the sperm quality of fat-tailed sheep during the freezing process using a microcontroller. This study was conducted from April to October 2018 at the Laboratory of Animal Physiology and Reproduction, Faculty of Animal Science UGM. The study was used twelve mature ram. The methods were conducted by collecting semen using artificial vagina, semen dilution, freezing semen, thawing and semen quality test. The pre-freezing temperature time were grouped for 6, 9, and 12 minutes. Data of frozen semen quality (motility, viability, and abnormality) the data were analyzed using one-way ANOVA and the study was arranged using Completely Randomized Design (CRD). The average of spermatozoa motility after semen freezing with a 5 to -140°C decrease in pre freezing temperature for 12 minutes (50±5.3%) was significantly different (P<0.05) compared to 9 minutes (48±4.8%) and 6 minutes (43±4.8%). The average of spermatozoa viability after semen freezing with a decrease in pre freezing temperature of 5 to -140°C for 12 minutes (55±4.7%) was significantly different (P<0.05) compared to that for 9 minutes (52±3.5%) and 6 minutes (49±5.7%). The average of spermatozoa abnormality after freezing with a decrease in pre freezing temperature of 5 to -140°C for 6, 9, and 12 minutes was not significantly different (10±2.4%, 9±0.8%, and 10±0.9%, respectively). Based on the findings, it is possible to conclude that semen freezing at a lower pre-freezing temperature of 0 to -140°C for 12 minutes can improve the quality of freezing results.
Translational challenges for synthetic imaging in cardiology

We are delighted that Higaki et al. have continued the dialogue initi-ated by our recent teaching series article 1 about synthetic imaging and prospective clinical uses in cardiology. 2 We agree that forms of artificial intelligence (AI) that construct synthetic images—including generative adversarial networks (GANs)—represent potentially powerful tools in cardiovascular intervention
Microorganisms in persistent apical periodontitis: A review

Introduction: Apical periodontitis is a sequela of endodontic infection, which manifests as a host defense response to the microbial challenge emanating from the root canals. To achieve an optimal outcome, microorganisms must be eliminated or reduced to levels that allow healing of the periradicular tissue. Objective: To analyze the literature on microorganisms, such as Enterococcus faecalis, Fusobacterium nucleatum, Candida albicans, Epstein-Barr, which are important in persistent apical periodontitis. Methodology: Articles on the subject published through PubMed, SCOPUS and Google Scholar databases were analyzed, with emphasis on the last 5 years. It was performed with the words "Enterococcus faecalis", "Fusobacterium nucleatum", "Candida albicans", "Epstein-Barr", "Herpesviridae", "Root canals", "Persistent apical periodontitis". Results: E. faecalis involved in persistent apical periodontitis because of its adaptability to extreme environments, growing in alkaline pH and using periodontal ligament fluids as nutrients. Lysed Fusobacterium nucleatum cells could potentially increase the severity of persistent apical periodontitis. Candida albicans is one of the dominant pathogens in persistent apical periodontitis because of its membrane protein Msb2. Epistein-Barr virus may be implicated in the pathogenesis of apical periodontitis by direct cytopathic action on infected cells, however, its replication in persistent apical periodontitis is still unclear. Conclusions: The microbiota of teeth with persistent apical periodontitis, presents a mixed and complex profile, it is important to know the role of these microorganisms, because microbial persistence, seems to be the most important factor in root canal treatment failure.
Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.
Development of a transition piece for a self‐erecting wind energy plant

For the construction of wind towers with large hub heights up to 200m, the FOSTA research project P1392 HYTOWER [1] investigated a concept for a self‐erecting wind energy plant with steel‐steel hybrid tower. A tubular steel tower is lifted inside a lattice tower using a strand lifting system. During this process the tubular steel tower is stabilized by hydraulic cylinders. A specially developed transition piece is used to accommodate the lifting system during the lifting process and to finally connect the two tower parts. In this paper, the erection process as well as the development of the transition piece is presented.
Users' In-Game Purchase Intention: The Effects of Flow Experience and Satisfaction

During the recent times, the majority of the mobile game revenue comes from in-game features/products. In the recent past, many studies were conducted to study the factors affecting mobile game adoption. However, research on the factors driving purchase of virtual goods during mobile gaming is scarce. This study with the foundation on flow theory and theory of consumption values aimed at studying the interrelationships among the constructs to know the mobile game users' in-game purchase intention. A 10-factor research model was developed and tested empirically. For this, data were obtained from 367 high school and college students. Structural equation modelling with the aid of AMOS software was used to analyse the data. Users' gaming flow experience and satisfaction were found to exert a positive effect on intention to buy mobile in-game items. In addition, the study offers academic and practical implications of the variables affecting the decision-making behaviour of mobile gamers. Further avenues applicable for future research were also discussed in the concluding literature.
Gravity Wave Packets in the Venusian Atmosphere Observed by Radio Occultation Experiments: Comparison With Saturation Theory

The characteristics of gravity wave packets in the Venusian atmosphere were studied using high‐vertical‐resolution temperature profiles obtained by ESA's Venus Express and JAXA's Akatsuki radio occultation experiments with radio holographic methods. Localized disturbances were detected by applying a wavelet transform to the temperature profiles. The packet lengths were found to be distributed over 0.6–10 km, in which typically 1.5–4.0 oscillations are included. The number of oscillations per wave packet was found to have only a slight dependence on the wavelength, which is consistent with the −3 power law dependence of the spectral density on the wavenumber in the saturation model. The spectral densities of the wave packets are roughly aligned with the power law of the saturation model, while the saturation ratio for each quasi‐monochromatic wave is low. This suggests that the saturated spectrum is produced by the superposition of individually unsaturated quasi‐monochromatic waves. Waves with short vertical wavelengths (<1.5 km) were found to be more prevalent at lower altitudes than at higher altitudes, implying an effect of radiative damping during upward propagation. The amplitude was found to be larger at higher latitudes, which might be attributed to an increase in background static stability at high latitudes, which allows larger saturation amplitudes.
Postdivorce Coparenting Patterns and Relations With Adolescent Adjustment

This study examined the association between postdivorce coparenting patterns and adolescent internalizing and externalizing behavior. Children after parental divorce increasingly grow up in shared residence arrangements, making postdivorce coparenting much more pertinent. The Coparenting Behavior Questionnaire was used to investigate the perceptions of 251 Dutch adolescents regarding postdivorce coparenting behaviors. Latent class analysis was used to identify coparenting patterns, and associations with adolescent outcomes were examined. Four distinct postdivorce coparenting patterns were identified: cooperative, negatively engaged, negatively disengaged, and average. Adolescents of parents with a cooperative pattern reported the least amount of internalizing and externalizing problems, whereas adolescents with negatively engaged parents reported the most internalizing problems. In line with family systems theory, interactions in the coparental subsystem are associated with adolescent adjustment and can therefore be viewed as both a risk and protective factor.
FREQUENCY FOLLOWING RESPONSES IN VOCALISTS, VIOLINISTS, AND NONMUSICIANS TO CARNATIC MUSICAL STIMULI

Introduction: The current study investigates pitch coding among vocalists, violinists, and non-musicians to Carnatic musical stimuli. Material and methods: Three groups of participants were included in the study: 10 trained Carnatic vocalists, 10 violinists,and 10 non-musi- cians. Their ages ranged from 18 to 45 years. Two types of stimuli were given: three notes of a Carnatic raga (S R2 G3) sung by a trained vocalist and three notes of a Carnatic raga (S R2 G3) played on violin by a trained violinist. Frequency following responses (FFRs) were recorded binaurally at 80 dBSPL for both stimuli using Neuroscan equipment. Results: Grand average responses of all participants were generated. To assess a participant’s pitch tracking to the Carnatic music stimuli, stimulus- to-response correlation, pitch strength, and pitch error were calculated. Vocalists and violinists had better stimulus-to-response correlation and pitch strength values with lower pitch error values than non-musicians for both vocal and violin stimuli. Within both the vocalist and violinist groups, superior performance was noticed for the vocal stimulus compared to the violin stimulus. No such preference was evident among non-musicians. Conclusions: Classical music training dependent plasticity can be demonstrated at brainstem level itself. This holds true for both vocal and violin music, a finding not reported previously. Further a link between musical training and the FFR response can be more strongly demonstrated for vocalists than for violinists.
Content Analysis of Organic Food Claims on Websites and Instagram Stores

Organic food products are produced without pesticides or genetic engineering. This study analyses the variable product characteristics, website characteristics, Instagram account characteristics, and claims characteristics. This study aimed to analyze the content of claims for organic food on websites and Instagram stores based on the Consumer Protection Law No. 8 of 1999. This study used an exploratory design with content analysis methods. The sample was selected using purposive sampling, namely 100 online shops that sell organic food with details of 50 websites and 50 Instagram accounts. The data collected was categorized and processed using Microsoft Excel, Statistical Package for Social Science (SPSS) 23.0 and Nvivo 12 Plus. The analysis results show that 56% of website and Instagram stores use subjective claims and 40% using objective claims. As much as 47% of online stores, both websites and Instagram, are categorized as not misleading, and 53% are categorized as misleading or deceptive claims such as ambiguous. 22% of online shops violate Article 8 Paragraph 1, and 20% of online stores violate Article 9 of the Consumer Protection Law.
An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

MANET-IoT networks are currently being focus developed and expected to become popular in next-generation mobile networks due to their simplicity and efficiency in solving real problems in a wide range of areas such as smart agriculture, smart health care, intelligent traffic, military, entertainment, and smart cities. Because of the nature of mobile network nodes, saving energy for MANET is always a complicated problem. In this paper, we proposed a saving energy routing protocol that uses an integrated routing metric from hops number and remaining energy metrics for decision-making to selects a fit route. Besides, we evaluate the performance of the proposed protocol on NS2 simulation software. Simulation results demonstrated the proposed protocol improves the network lifetime and network performance parameters compared to traditional protocols.
Automated Object Detection, Mapping, and Assessment of Roadside Clear Zones Using Lidar Data

This paper proposes a fully automated approach to map and assess roadside clearance parameters using mobile Light Detection and Ranging (lidar) data on rural highways. Compared with traditional manual surveying methods, lidar data could provide a more efficient and cost-effective source to extract roadside information. This study proposes a novel voxel-based raycasting approach focused primarily on automating roadside mapping and assessment. First, the scanning vehicle trajectory is extracted. Pavement surface points are then detected, and a method is proposed to extract pavement edge trajectories. Once pavement edges are extracted, guardrails were identified using a conical frustum emitted from the edge trajectory points. Target points and flexion points are then generated and located on the roadside, and a voxel-based raycasting approach is used to search for roadside obstacles and query their locations. Finally, roadside slopes and embankment heights were mapped at specific intervals, and roadside design guidelines and requirements were automatically checked against the mapping results. Noncompliant locations with substandard conditions were automatically queried. The method was tested on four highway segments in Alberta, Canada. The accuracy of the edge detection reached up to 98.5%. Furthermore, the method proved to be accurate in object detection, being able to detect all obstructions on the roadside in each tested segment. The proposed method can help transportation authorities automatically map and inventory roadside clearance parameters. Moreover, the safety performance of existing road infrastructure can be studied using collected information and crash data to support decision making on road maintenance and upgrades.