Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethanol Solvothermal Treatment on Graphitic Carbon Nitride Materials for Enhancing Photocatalytic Hydrogen Evolution Performance

Recently, Pt-loaded graphic carbon nitride (g-C3N4) materials have attracted great attention as a photocatalyst for hydrogen evolution from water. The simple surface modification of g-C3N4 by hydrothermal methods improves photocatalytic performance. In this study, ethanol is used as a solvothermal solvent to modify the surface properties of g-C3N4 for the first time. The g-C3N4 is thermally treated in ethanol at different temperatures (T = 140 °C, 160 °C, 180 °C, and 220 °C), and the Pt co-catalyst is subsequently deposited on the g-C3N4 via a photodeposition method. Elemental analysis and XPS O 1s data confirm that the ethanol solvothermal treatment increased the contents of the oxygen-containing functional groups on the g-C3N4 and were proportional to the treatment temperatures. However, the XPS Pt 4f data show that the Pt2+/Pt0 value for the Pt/g-C3N4 treated at ethanol solvothermal temperature of 160 °C (Pt/CN-160) is the highest at 7.03, implying the highest hydrogen production rate of Pt/CN-160 is at 492.3 μmol g−1 h−1 because the PtO phase is favorable for the water adsorption and hydrogen desorption in the hydrogen evolution process. In addition, the electrochemical impedance spectroscopy data and the photoluminescence spectra emission peak intensify reflect that the Pt/CN-160 had a more efficient charge separation process that also enhanced the photocatalytic activity.
Effective coherent integration algorithm for high-speedmoving targets in Chirp radar

A detailed analysis is made on the factor by which envelope migration affects the coherent integration first, then two integration methods called the optimized coherent integration (OCI) and the coherent integration with interpolation and migration compensation (CIIMC) are proposed. Analysis indicates that CIIMC is insensitive to the compensation of the envelope migration and can achieve relatively long-time effective coherent integration when the input SNR is very low. Simulation results show that CIIMC can satisfy different applications; the output, SNR loss is less than 3 dB on condition of-8 dB input SNR and 200 integration pulses.r
An Efficient 5G Data Plan Approach Based on Partially Distributed Mobility Architecture

Reaching a flat network is the main target of future evolved packet core for the 5G mobile networks. The current 4th generation core network is centralized architecture, including Serving Gateway and Packet-data-network Gateway; both act as mobility and IP anchors. However, this architecture suffers from non-optimal routing and intolerable latency due to many control messages. To overcome these challenges, we propose a partially distributed architecture for 5th generation networks, such that the control plane and data plane are fully decoupled. The proposed architecture is based on including a node Multi-session Gateway to merge the mobility and IP anchor gateway functionality. This work presented a control entity with the full implementation of the control plane to achieve an optimal flat network architecture. The impact of the proposed evolved packet Core structure in attachment, data delivery, and mobility procedures is validated through simulation. Several experiments were carried out by using NS-3 simulation to validate the results of the proposed architecture. The Numerical analysis is evaluated in terms of total transmission delay, inter and intra handover delay, queuing delay, and total attachment time. Simulation results show that the proposed architecture performance-enhanced end-to-end latency over the legacy architecture.
Implementasi OLAP pada Data Kerja Praktik dan Tugas Akhir Menggunakan Framework Modular Cube JS

The government's role in the implementation of higher education in Indonesia is to provide a university database. It is hoped that the government and the public can participate in assessing and conducting surveillance with the database. Every tertiary institution must report everything related to the implementation of education, starting from lecturer data, student data, and lecture data. In its performance, a Dikti Feeder application has been prepared that can transmit data. Each university will adjust the data entry following the Dikti standards. As one of the higher education providers, STMIK STIKOM Indonesia has been able to report data well, but specifically for final assignments and work practices, it has not been maximized due to the development of a separate system from the academic system. For this reason, a suitable system will be developed to accommodate Thesis and Internship data related to reporting on the Dikti Feeder by applying the Online Analytical Processing (OLAP) method using the Cube JS modular framework. Some of the tests carried out are schema file testing, frontend and backend testing, cube client testing, querying testing and load request testing showing the data can be displayed correctly and the process is successful.
Mate Selection Behavior of GED Recipients

The General Educational Development (GED) degree is designed to be a credential equivalent to the high school diploma. However, growing evidence indicates that GED recipients have worse outcomes than high school graduates. Such findings raise the question: is the GED socially equivalent to the high school diploma? Although educational assortative mating patterns have long been used as a barometer of the social distance across educational groups, there has not been a study that has addressed this question by examining the marital sorting patterns of GED recipients. Using log-linear models, our study shows that the odds of intermarriage between GED recipients and high school graduates resemble those between GED recipients and those without a secondary degree. Racial/ethnic minorities had greater difficulty crossing the GED/high school graduate boundary when they married. Our findings detract from the purported view that the GED degree is equivalent to a traditional high school diploma.
Discovering Stick-Slip-Resistant Servo Control Algorithm Using Genetic Programming

The stick-slip is one of negative phenomena caused by friction in servo systems. It is a consequence of complicated nonlinear friction characteristics, especially the so-called Stribeck effect. Much research has been done on control algorithms suppressing the stick-slip, but no simple solution has been found. In this work, a new approach is proposed based on genetic programming. The genetic programming is a machine learning technique constructing symbolic representation of programs or expressions by evolutionary process. In this way, the servo control algorithm optimally suppressing the stick-slip is discovered. The GP training is conducted on a simulated servo system, as the experiments would last too long in real-time. The feedback for the control algorithm is based on the sensors of position, velocity and acceleration. Variants with full and reduced sensor sets are considered. Ideal and quantized position measurements are also analyzed. The results reveal that the genetic programming can successfully discover a control algorithm effectively suppressing the stick-slip. However, it is not an easy task and relatively large size of population and a big number of generations are required. Real measurement results in worse control quality. Acceleration feedback has no apparent impact on the algorithms performance, while velocity feedback is important.
Male Offenders of Domestic Sex Trafficking: A Multi-Case Study

While ample studies have focused on victims of sex trafficking or on the modus operandi of traffickers, a knowledge gap exists where sex traffickers are concerned. Studies that investigated sex traffickers, mostly made no distinction between domestic and cross-border traffickers and made no distinction based on gender. However, differences between traffickers of several forms of trafficking and gender appear in the literature. The aim of this multi-case study was to investigate the background of domestic male sex traffickers of female juvenile and adolescent victims, so as to be able to provide a detailed description of this group. For that purpose, 25 police files of convicted traffickers were analyzed and several themes regarding demographics, socioeconomic status, psychosocial background and criminal carrier were described. When traffickers operated in networks, the size, structure and composition of the networks are described. In the discussion, the results of the study are compared to earlier studies, and based on a synthesis of the data, a detailed profile of domestic sex traffickers and their networks, as well as suggestions for future research, is provided.
Research on Route Deviation Transit Operation Scheduling—A Case Study in Suburb No. 5 Road of Harbin

Route deviation transit is a flexible “door-to-door” service method that combines the efficiency of conventional public transport modes and the flexibility of demand response modes, meeting the travel needs of people with low travel density and special groups. In this paper, the minimum value of the sum of vehicle operating cost and passenger travel cost was the optimal goal, and the RDT multi-vehicle operation scheduling model was constructed. Taking the available relaxation time as the control parameter of the RDT system and considering the insertion process of the random travel demand of the passengers during the operation process, we used a heuristic search algorithm to solve the scheduling model. This paper took Suburb No. 5 Road of Harbin as an example, using MATLAB to simulate the RDT operation scheduling model to verify the stability and feasibility of the RDT system under different demands. The results showed that under different demand conditions, the system indicators such as passenger travel time, waiting time, and vehicle mileage in the RDT system fluctuated very little, and the system performance was relatively stable. Under the same demand conditions, the per capita cost of the RDT system was 5.9% to 10.8% less than that of the conventional bus system. When the demand ρ is 20~40 person/hour, the RDT system is more effective than the conventional bus for the 5 bus in the suburbs of Harbin.
The Oxidation Mechanism of Aniline by Ozone Water and Ozone Micro-nano Bubble Water and Its Influencing Factors

Aniline is a kind of refractory contaminant that is difficult to be degraded by microorganisms. Ozone is a green and efficient reagent to oxidize aniline, while the ozone oxidation efficiency is restricted by the low ozone mass transfer rate. Micro-nano bubble ozonation has been developed as a new method to significantly improve the ozone utilization rate, while the characteristics of ozone micro-nano bubble when compared with dissolved ozone is not clear. The paper carried out batch experiments to research the oxidation effect of aniline by ozone water (OW) and ozone micro-nano bubble water (OMNBW), and found that the degradation rate of aniline by OMNBW was 2.8~5.9% higher than that by OW. The increase of pH had a negative effect on the degradation of aniline by OW and OMNBW. SO42-, Cl-, HCO­3- and Mg2+ could inhibit the degradation efficiency by 0.04%, 0.99%, 0.44% and 10.4% for OW, while the ratios were 1.1%, 6.4%, 4.1% and 1.5% for OMNBW. The addition of humic acid and fulvic acid could decrease the oxidation rate of aniline by 35% and 49% for OW, while the ratios were 41% and 62% for OMNBW. Through quenching experiment, it was found that the direct oxidation by ozone molecules and the indirect oxidation by superoxide radicals were main pathways for aniline oxidation by OW and OMNBW. This work provided a practical guide for the application of OMNBW in wastewater and groundwater treatment process.
The Effect of Tourism Experience on Tourists’ Environmentally Responsible Behavior at Cultural Heritage Sites: The Mediating Role of Cultural Attachment

With the rapid development of tourism and the explosive growth of tourist arrivals, the destructive effects of tourist activities on the ecological environment of tourist destinations are becoming increasingly severe, seriously restricting the sustainable development of these destinations. As one of the most important types of current tourist destinations, cultural heritage sites are in urgent need of a well-protected ecological environment. Environmental protection has already become an important task for their sustainable development. The behavior of tourists during visits, which plays a central role in tourist activities, has gradually become a key factor affecting the environment of tourist destinations. Therefore, approaches to effectively identify the mechanisms underpinning tourists’ environmentally responsible behavior have become a focus of both theoretical and practical domains. Based on a stimulus-organism-response (S-O-R) theoretical framework, our study established a mediation model based on cultural attachments, and explored the mechanisms affecting how cognitive, emotional, and cultural experiences influence tourists’ environmentally responsible behavior. The experience-attachment-behavior transmission mechanism was also considered. A structural equation model was applied to empirically test the 588 pieces of data collected from tourists involved in heritage tourism. The test results show that the cognitive, emotional, and cultural experiences delivered from tourist destinations of cultural heritage, positively affected tourists’ environmentally responsible behavior. Cultural attachment plays a partially mediating role between cognitive, emotional, cultural experiences and tourists’ environmentally responsible behavior. These study results not only support theoretical research on the relationship between tourism experiences and tourists’ environmentally responsible behavior, but also indicate the effective driving pathways of tourists’ environmentally responsible behavior at the practical level. As such, this research provides both theoretical reference and practical guidance for the sustainable development of tourist destinations with diverse cultural heritages.
From Surface to Subsurface: Diversity, Composition, and Abundance of Sessile and Endolithic Bacterial, Archaeal, and Eukaryotic Communities in Sand, Clay and Rock Substrates in the Laurentians (Quebec, Canada)

Microbial communities play an important role in shallow terrestrial subsurface ecosystems. Most studies of this habitat have focused on planktonic communities that are found in the groundwater of aquifer systems and only target specific microbial groups. Therefore, a systematic understanding of the processes that govern the assembly of endolithic and sessile communities is still missing. This study aims to understand the effect of depth and biotic factors on these communities, to better unravel their origins and to compare their composition with the communities detected in groundwater. To do so, we collected samples from two profiles (~0–50 m) in aquifer sites in the Laurentians (Quebec, Canada), performed DNA extractions and Illumina sequencing. The results suggest that changes in geological material characteristics with depth represent a strong ecological and phylogenetical filter for most archaeal and bacterial communities. Additionally, the vertical movement of water from the surface plays a major role in shallow subsurface microbial assembly processes. Furthermore, biotic interactions between bacteria and eukaryotes were mostly positive which may indicate cooperative or mutualistic potential associations, such as cross-feeding and/or syntrophic relationships in the terrestrial subsurface. Our results also point toward the importance of sampling both the geological formation and groundwater when it comes to studying its overall microbiology.
Multi-Scale Feature Aggregation Network for Water Area Segmentation

Water area segmentation is an important branch of remote sensing image segmentation, but in reality, most water area images have complex and diverse backgrounds. Traditional detection methods cannot accurately identify small tributaries due to incomplete mining and insufficient utilization of semantic information, and the edge information of segmentation is rough. To solve the above problems, we propose a multi-scale feature aggregation network. In order to improve the ability of the network to process boundary information, we design a deep feature extraction module using a multi-scale pyramid to extract features, combined with the designed attention mechanism and strip convolution, extraction of multi-scale deep semantic information and enhancement of spatial and location information. Then, the multi-branch aggregation module is used to interact with different scale features to enhance the positioning information of the pixels. Finally, the two high-performance branches designed in the Feature Fusion Upsample module are used to deeply extract the semantic information of the image, and the deep information is fused with the shallow information generated by the multi-branch module to improve the ability of the network. Global and local features are used to determine the location distribution of each image category. The experimental results show that the accuracy of the segmentation method in this paper is better than that in the previous detection methods, and has important practical significance for the actual water area segmentation.
Ground Slotted Landa Shape Single Feed UWB Circular Polarized Antenna for 2.4GHz RFID Reader

Supper High Frequency (SHF) 2:4 » 2:483GHz Ultra Wide Band (UWB) circularly polarized antenna is proposed for the Radio Frequency Identiflcation (RFID) applications. The antenna is composed of FR4 substrate where a microstrip patch antenna is placed on the top and no ground plane beneath it. The patch antenna excited through microstrip line matched to the antenna through one fourth microstrip line transformer with stub. The ground plane lies beneath the feeding scheme where a landa shape slot is etched in the ground plane. The proposed antenna achieves measured i10dB bandwidth of 1.77GHz from 2.34{4.11GHz which agrees with the computed results. The proposed antenna has 3dB axial ratio bandwidth of 89.1089MHz (2.39934MHz{2.48845MHz) which covers the required band. The antenna scheme occupies an area of 29£32mm 2 . The proposed antenna is simple, cheap and ofiers an acceptable other antenna parameters on the 2.4GHz RFID readers bandwidth.
A comparison of wild bee communities in sown flower strips and semi‐natural habitats: A pollination network approach

Drastic reductions of insect diversity and abundance have been observed in highly fragmented agricultural landscapes of central Europe. Declines of pollinators may have detrimental effects on the reproduction of wild insect‐pollinated plants as well as the yield of crops. In order to mitigate such impacts, sown flower strips on arable land within Agri‐Environment Climate Schemes (AECS) are supported across EU countries. However, it is not clear whether sown flower strips provide equivalent benefits to wild flower‐visiting insects as semi‐natural habitats. Here, we apply plant–pollinator network approach to evaluate the function of sown flower strips for the communities of wild bees. We compared the structural characteristics and the robustness of plant–pollinator networks in sown flower strips and nearby semi‐natural habitats in seven sites in the Czech Republic. We also quantified the importance of individual plant species for bees based on simulations of plant–pollinator extinction cascades. We found that assemblages of plants and pollinators were less diverse in sown flower strips than in semi‐natural habitats, more generalised, and more nested. However, we did not find any significant differences in network robustness to plant–pollinator coextinctions. Further, simulations revealed large variation in the functional importance among plant species from both habitats. We conclude that although the analysis of network robustness suggested that plants in the sown flower strips and semi‐natural habitats were functionally equivalent, this masked important differences between the two habitats. From a conservation point of view, semi‐natural habitats were superior in supporting a more diverse community of solitary bees and bumblebees, likely because of their greater longevity and higher habitat heterogeneity.
Occurrence of Low-Level Jets over the Eastern U.S. Coastal Zone at Heights Relevant to Wind Energy

Two years of high-resolution simulations conducted with the Weather Research and Forecasting (WRF) model are used to characterize the frequency, intensity and height of low-level jets (LLJ) over the U.S. Atlantic coastal zone. Meteorological conditions and the occurrence and characteristics of LLJs are described for (i) the centroids of thirteen of the sixteen active offshore wind energy lease areas off the U.S. east coast and (ii) along two transects extending east from the U.S. coastline across the northern lease areas (LA). Flow close to the nominal hub-height of wind turbines is predominantly northwesterly and southwesterly and exhibits pronounced seasonality, with highest wind speeds in November, and lowest wind speeds in June. LLJs diagnosed using vertical profiles of modeled wind speeds from approximately 20 to 530 m above sea level exhibit highest frequency in LA south of Massachusetts, where LLJs are identified in up to 12% of hours in June. LLJs are considerably less frequent further south along the U.S. east coast and outside of the summer season. LLJs frequently occur at heights that intersect the wind turbine rotor plane, and at wind speeds within typical wind turbine operating ranges. LLJs are most frequent, intense and have lowest core heights under strong horizontal temperature gradients and lower planetary boundary layer heights.
The Use of Digitalization (ICTs) in Achieving Sustainable Development Goals

The article examines the use of information and communication technologies (ICT) in achieving sustainable development goals (SDGs). This link is conceptually and contextually analyzed in the global context whereby scholarly opinions and research works are discussed to substantiate the role that ICT can play in achieving SDGs. The article further examines the link in South Africa, using the country as a locus of the study. The article aims to find answers to the following research questions: How is ICT linked to all 17 SDGs? To what extent this link may accelerate SDGs’ implementation? What is the impact of ICT on accelerating SDGs? What are the challenges hampering the efficient utilization of ICT for SDGs’ implementation? The article uses a qualitative approach with desktop analysis to draw significant information. In addition, unobtrusive methods were applied, such as conceptual analysis and document analysis, to draw conclusions based on the findings. The findings confirm that despite ICT policies and infrastructure, the use and impact of ICT on SDGs is not always high. The article suggests that improvements are required at policy, institutional, department and individual levels. The suggestions can be applicable globally, based on the technological advancement and socio-economic development in country-specific contexts.