bluuebunny/crossref_metadata_2025 huggingface dataset:
Microtopographic Controls on Erosion and Deposition of a Rilled Hillslope in Eastern Tennessee, USA
Authors: Li Yingkui , Lu Xiaoyu , Washington-Allen Robert A. , Li Yanan
Published: March 2022

Topography plays an important role in shaping the patterns of sediment erosion and deposition of different landscapes. Studies have investigated the role of topography at basin scales, whereas little work has been conducted on hillslopes, partially due to the lack of high-resolution topographic data. We monitored detailed topographic changes of a rilled hillslope in the southeastern United States using terrestrial laser scanning and investigated the influences of various microtopographic factors on erosion and deposition. The results suggest that the contributing area is the most important factor for both rill erosion and deposition. Rills with large contributing areas tend to have high erosion and deposition. Slope is positively related to erosion but negatively related to deposition. Roughness, on the other hand, is positively related to deposition but negatively related to erosion. Higher erosion and lower deposition likely occur on north-facing aspects, possibly because of higher soil moisture resulting from less received solar insolation. Similarly, soil moisture is likely higher in areas with higher terrain wetness index values, leading to higher erosion. This work provides important insight into the sediment dynamic and its microtopographic controls on hillslopes.
The VIIRS Day/Night Band: A Flicker Meter in Space?
Authors: Elvidge Christopher D. , Zhizhin Mikhail , Keith David , Miller Steven D. , Hsu Feng Chi , Ghosh Tilottama , Anderson Sharolyn J. , Monrad Christian K. , Bazilian Morgan , Taneja Jay , Sutton Paul C. , Barentine John , Kowalik William S. , Kyba Christopher C. M. , Pack Dee W. , Hammerling Dorit
Published: March 2022

The VIIRS day/night band (DNB) high gain stage (HGS) pixel effective dwell time is in the range of 2–3 milliseconds (ms), which is about one third of the flicker cycle present in lighting powered by alternating current. Thus, if flicker is present, it induces random fluctuations in nightly DNB radiances. This results in increased variance in DNB temporal profiles. A survey of flicker characteristics conducted with high-speed camera data collected on a wide range of individual luminaires found that the flicker is most pronounced in high-intensity discharge (HID) lamps, such as high- and low-pressure sodium and metal halides. Flicker is muted, but detectable, in incandescent luminaires. Modern light-emitting diodes (LEDs) and fluorescent lights are often nearly flicker-free, thanks to high-quality voltage smoothing. DNB pixel footprints are about half a square kilometer and can contain vast numbers of individual luminaires, some of which flicker, while others do not. If many of the flickering lights are drawing from a common AC supplier, the flicker can be synchronized and leave an imprint on the DNB temporal profile. In contrast, multiple power supplies will throw the flickering out of synchronization, resulting in a cacophony with less radiance fluctuation. The examination of DNB temporal profiles for locations before and after the conversion of high-intensity discharge (HID) to LED streetlight conversions shows a reduction in the index of dispersion, calculated by dividing the annual variance by the mean. There are a number of variables that contribute to radiance variations in the VIIRS DNB, including the view angle, cloud optical thickness, atmospheric variability, snow cover, lunar illuminance, and the compilation of temporal profiles using pixels whose footprints are not perfectly aligned. It makes sense to adjust the DNB radiance for as many of these extraneous effects as possible. However, none of these adjustments will reduce the radiance instability introduced by flicker. Because flicker is known to affect organisms, including humans, the development of methods to detect and rate the strength of flickering from space will open up new areas of research on the biologic impacts of artificial lighting. Over time, there is a trend towards the reduction of flicker in outdoor lighting through the replacement of HID with low-flicker LED sources. This study indicates that the effects of LED conversions on the brightness and steadiness of outdoor lighting can be analyzed with VIIRS DNB temporal profiles.
Towards Cognitive Authentication for Smart Healthcare Applications
Authors: Sodhro Ali Hassan , Sennersten Charlotte , Ahmad Awais
Published: March 2022

Secure and reliable sensing plays the key role for cognitive tracking i.e., activity identification and cognitive monitoring of every individual. Over the last years there has been an increasing interest from both academia and industry in cognitive authentication also known as biometric recognition. These are an effect of individuals’ biological and physiological traits. Among various traditional biometric and physiological features, we include cognitive/brainwaves via electroencephalogram (EEG) which function as a unique performance indicator due to its reliable, flexible, and unique trait resulting in why it is hard for an un-authorized entity(ies) to breach the boundaries by stealing or mimicking them. Conventional security and privacy techniques in the medical domain are not the potential candidates to simultaneously provide both security and energy efficiency. Therefore, state-of-the art biometrics methods (i.e., machine learning, deep learning, etc.) their applications with novel solutions are investigated and recommended. The experimental setup considers EEG data analysis and interpretation of BCI. The key purpose of this setup is to reduce the number of electrodes and hence the computational power of the Random Forest (RF) classifier while testing EEG data. The performance of the random forest classifier was based on EEG datasets for 20 subjects. We found that the total number of occurred events revealed 96.1% precision in terms of chosen events.
Intelligent Tracking of Mechanically Thrown Objects by Industrial Catching Robot for Automated In-Plant Logistics 4.0
Authors: Qadeer Nauman , Shah Jamal Hussain , Sharif Muhammad , Khan Muhammad Attique , Muhammad Ghulam , Zhang Yu-Dong
Published: March 2022

Industry 4.0 smart manufacturing systems are equipped with sensors, smart machines, and intelligent robots. The automated in-plant transportation of manufacturing parts through throwing and catching robots is an attempt to accelerate the transportation process and increase productivity by the optimized utilization of in-plant facilities. Such an approach requires intelligent tracking and prediction of the final 3D catching position of thrown objects, while observing their initial flight trajectory in real-time, by catching robot in order to grasp them accurately. Due to non-deterministic nature of such mechanically thrown objects’ flight, accurate prediction of their complete trajectory is only possible if we accurately observe initial trajectory as well as intelligently predict remaining trajectory. The thrown objects in industry can be of any shape but detecting and accurately predicting interception positions of any shape object is an extremely challenging problem that needs to be solved step by step. In this research work, we only considered spherical shape objects as their3D central position can be easily determined. Our work comprised of development of a 3D simulated environment which enabled us to throw object of any mass, diameter, or surface air friction properties in a controlled internal logistics environment. It also enabled us to throw object with any initial velocity and observe its trajectory by placing a simulated pinhole camera at any place within 3D vicinity of internal logistics. We also employed multi-view geometry among simulated cameras in order to observe trajectories more accurately. Hence, it provided us an ample opportunity of precise experimentation in order to create enormous dataset of thrown object trajectories to train an encoder-decoder bidirectional LSTM deep neural network. The trained neural network has given the best results for accurately predicting trajectory of thrown objects in real time.
V2T-GAN: Three-Level Refined Light-Weight GAN with Cascaded Guidance for Visible-to-Thermal Translation
Authors: Jia Ruiming , Chen Xin , Li Tong , Cui Jiali
Published: March 2022

Infrared image simulation is challenging because it is complex to model. To estimate the corresponding infrared image directly from the visible light image, we propose a three-level refined light-weight generative adversarial network with cascaded guidance (V2T-GAN), which can improve the accuracy of the infrared simulation image. V2T-GAN is guided by cascading auxiliary tasks and auxiliary information: the first-level adversarial network uses semantic segmentation as an auxiliary task, focusing on the structural information of the infrared image; the second-level adversarial network uses the grayscale inverted visible image as the auxiliary task to supplement the texture details of the infrared image; the third-level network obtains a sharp and accurate edge by adding auxiliary information of the edge image and a displacement network. Experiments on the public dataset Multispectral Pedestrian Dataset demonstrate that the structure and texture features of the infrared simulation image obtained by V2T-GAN are correct, and outperform the state-of-the-art methods in objective metrics and subjective visualization effects.
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics
Authors: Longueira-Romero Ángel , Iglesias Rosa , Flores Jose Luis , Garitano Iñaki
Published: March 2022

The rapid evolution of industrial components, the paradigm of Industry 4.0, and the new connectivity features introduced by 5G technology all increase the likelihood of cybersecurity incidents. Such incidents are caused by the vulnerabilities present in these components. Designing a secure system is critical, but it is also complex, costly, and an extra factor to manage during the lifespan of the component. This paper presents a model to analyze the known vulnerabilities of industrial components over time. The proposed Extended Dependency Graph (EDG) model is based on two main elements: a directed graph representation of the internal structure of the component, and a set of quantitative metrics based on the Common Vulnerability Scoring System (CVSS). The EDG model can be applied throughout the entire lifespan of a device to track vulnerabilities, identify new requirements, root causes, and test cases. It also helps prioritize patching activities. The model was validated by application to the OpenPLC project. The results reveal that most of the vulnerabilities associated with OpenPLC were related to memory buffer operations and were concentrated in the libssl library. The model was able to determine new requirements and generate test cases from the analysis.
Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease
Authors: Hill Derek L. , Stephenson Diane , Brayanov Jordan , Claes Kasper , Badawy Reham , Sardar Sakshi , Fisher Katherine , Lee Susan J. , Bannon Anthony , Roussos George , Kangarloo Tairmae , Terebaite Viktorija , Müller Martijn L. T. M. , Bhatnagar Roopal , Adams Jamie L. , Dorsey E. Ray , Cosman Josh
Published: March 2022

Sensor data from digital health technologies (DHTs) used in clinical trials provides a valuable source of information, because of the possibility to combine datasets from different studies, to combine it with other data types, and to reuse it multiple times for various purposes. To date, there exist no standards for capturing or storing DHT biosensor data applicable across modalities and disease areas, and which can also capture the clinical trial and environment-specific aspects, so-called metadata. In this perspectives paper, we propose a metadata framework that divides the DHT metadata into metadata that is independent of the therapeutic area or clinical trial design (concept of interest and context of use), and metadata that is dependent on these factors. We demonstrate how this framework can be applied to data collected with different types of DHTs deployed in the WATCH-PD clinical study of Parkinson’s disease. This framework provides a means to pre-specify and therefore standardize aspects of the use of DHTs, promoting comparability of DHTs across future studies.
Test Strategy Optimization Based on Soft Sensing and Ensemble Belief Measurement
Authors: Mei Wenjuan , Liu Zhen , Tang Lei , Su Yuanzhang
Published: March 2022

Resulting from the short production cycle and rapid design technology development, traditional prognostic and health management (PHM) approaches become impractical and fail to match the requirement of systems with structural and functional complexity. Among all PHM designs, testability design and maintainability design face critical difficulties. First, testability design requires much labor and knowledge preparation, and wastes the sensor recording information. Second, maintainability design suffers bad influences by improper testability design. We proposed a test strategy optimization based on soft-sensing and ensemble belief measurements to overcome these problems. Instead of serial PHM design, the proposed method constructs a closed loop between testability and maintenance to generate an adaptive fault diagnostic tree with soft-sensor nodes. The diagnostic tree generated ensures high efficiency and flexibility, taking advantage of extreme learning machine (ELM) and affinity propagation (AP). The experiment results show that our method receives the highest performance with state-of-art methods. Additionally, the proposed method enlarges the diagnostic flexibility and saves much human labor on testability design.
A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities
Authors: Nezamoddini Nasim , Gholami Amirhosein
Published: March 2022

The world is moving toward a new connected world in which millions of intelligent processing devices communicate with each other to provide services in transportation, telecommunication, and power grids in the future’s smart cities. Distributed computing is considered one of the efficient platforms for processing and management of massive amounts of data collected by smart devices. This can be implemented by utilizing multi-agent systems (MASs) with multiple autonomous computational entities by memory and computation capabilities and the possibility of message-passing between them. These systems provide a dynamic and self-adaptive platform for managing distributed large-scale systems, such as the Internet-of-Things (IoTs). Despite, the potential applicability of MASs in smart cities, very few practical systems have been deployed using agent-oriented systems. This research surveys the existing techniques presented in the literature that can be utilized for implementing adaptive multi-agent networks in smart cities. The related literature is categorized based on the steps of designing and controlling these adaptive systems. These steps cover the techniques required to define, monitor, plan, and evaluate the performance of an autonomous MAS. At the end, the challenges and barriers for the utilization of these systems in current smart cities, and insights and directions for future research in this domain, are presented.
Importance of Weather Conditions in a Flight Corridor
Authors: Chen Gong , Fricke Hartmut , Okhrin Ostap , Rosenow Judith
Published: March 2022

Current research initiatives, such as the Single European Sky Air Traffic Management Research Program, call for an air traffic system with improved safety and efficiency records and environmental compatibility. The resulting multi-criteria system optimization and individual flight trajectories require, in particular, reliable three-dimensional meteorological information. The Global (Weather) Forecast System only provides data at a resolution of around 100 km. We postulate a reliable interpolation at high resolution to compute these trajectories accurately and in due time to comply with operational requirements. We investigate different interpolation methods for aerodynamic crucial weather variables such as temperature, wind speed, and wind direction. These methods, including Ordinary Kriging, the radial basis function method, neural networks, and decision trees, are compared concerning cross-validation interpolation errors. We show that using the interpolated data in a flight performance model emphasizes the effect of weather data accuracy on trajectory optimization. Considering a trajectory from Prague to Tunis, a Monte Carlo simulation is applied to examine the effect of errors on input (GFS data) and output (i.e., Ordinary Kriging) on the optimized trajectory.
Effects of COVID-19 on the Perception of Virtual Education in University Students in Ecuador; Technical and Methodological Principles at the Universidad Técnica Particular de Loja
Authors: Torres-Díaz Juan Carlos , Rivera-Rogel Diana , Beltrán-Flandoli Ana María , Andrade-Vargas Lucy
Published: March 2022

The confinement and migration from face-to-face to open access, online or blended/hybrid education modality caused because of the coronavirus crisis has forced a readaptation of education with enormous deficiencies at all levels. This work analyzes the viewpoint of a group of students from the Universidad Técnica Particular de Loja (Ecuador) regarding the current state of emergency from a descriptive and correlational quantitative methodological conception, based on the application of an instrument made up of six thematic blocks: socio-demographic situation, use of ICT, importance of ICT, methodology, didactic techniques, and study modality. The main results show that students are not yet convinced that a virtual modality is better than face-to-face. However, there are groups that value positively the use of ICTs mainly for recalling information, self-learning, and motivation. The techniques most valued by students are the traditional ones: teacher explanation and individual work. However, they give a low value to individualization as a methodological principle under which these techniques are based.
Investigate Jobs–Housing Spatial Relationship with Individual-Based Mobility Big Data of Public Housing Tenants: A Case Study in Chongqing, China
Authors: Yi Hong , Wang Lu , Li Qiao , Li Xiang
Published: March 2022

Dwelling and working are two of the most fundamental urban functions. The jobs–housing relationship is pertinent to a city’s spatial and social structure. By using macro-level statistical data and micro-level mobile phone data, this paper innovatively adapts a way to explore the jobs–housing characteristics of public housing tenants in Chongqing, China. It finds that both external and internal factors matter. This study might provide some useful implications for further policy-making on public housing planning, and the research method could be used to examine urban spatial relationships further.
Empirical Study of Virtual Reality to Promote Intergenerational Communication: Taiwan Traditional Glove Puppetry as Example
Authors: Chou Wen-Huei , Li Yi-Chun , Chen Ya-Fang , Ohsuga Mieko , Inoue Tsuyoshi
Published: March 2022

Based on glove puppetry, a traditional cultural pursuit of Taiwan, this study designed a virtual reality (VR) intergenerational game to bring together the elderly and young participants. In the game, a system of cooperation and sharing was constructed which would lead to an exchange between experience and knowledge of traditional culture and digital technology and result in intergenerational interaction and communication learning. Through interviews with eight subjects after the empirical study, this study explored the operation and experience of this game, the perception of interaction and dialogue, and the cultural heritage and learning. According to the research findings, VR game cultural elements and technology learning positively influence intergenerational relations and communication. Key factors of VR intergenerational games include the following: (1) the game content must be attractive for the elderly; (2) the operating procedure of the game and affordance of the interface for the elderly must be simplified; and (3) the game must establish a sense of achievement for players.
Improving Local Government Resilience: Highlighting the Role of Internal Resources in Crisis Management
Authors: Park Sejin , Graham Melissa , Foster Elizabeth Avery
Published: March 2022

A survey of U.S. local government officials (n = 307) investigates how to improve local governments’ crisis resilience. The results indicate that internal resources (i.e., time, money, and staff) were deemed important to local governments’ crisis management; however, there was a significant decrease in their perceived availability. Moreover, our results suggest that neither community size nor form of government predicted the availability of internal resources. Finally, internal resources were significant predictors of local government officials’ evaluations of a crisis; however, internal resources did not predict the officials’ evaluations of the strength of their crisis management. Theoretical and practical implications of the findings are discussed here.
Effects of Working from Home on Job Performance: Empirical Evidence in the Saudi Context during the COVID-19 Pandemic
Authors: Choukir Jamel , Alqahtani Munirah Sarhan , Khalil Essam , Mohamed Elsayed
Published: March 2022

This research investigated the mediating role of attitudes and perceptions between working from home (WFH) and employees’ job performance. It also explored the role of gender, education level, and job position in the relationship between specifications and facilities when working from home, as well as attitudes and perceptions. This study is exploratory and capitalizes on novel findings from a questionnaire. Data were collected from 399 employees employed by the principal Saudi businesses. The current study uses structural equation modeling to test the research hypotheses and examines the direct and indirect relationship between working from home and employees’ job performance. The results confirmed the significant direct linkage between WFH and employees’ job performance through the mediating roles of WFH employees’ attitudes and perceptions. Our findings also confirm the significant relationship between WFH employees’ attributes and their job performance, and the significant association between WFH and job performance. However, our results identified the fact that perceptions have an inverse impact on job performance. This study also provides significant theoretical and practical insights for managers who are adopting WFH. It contributes empirically to the literature by informing managers of the factors driving job performance in WFH, helping organizations to cope with the many issues related to a workforce who are working from home. Our research findings also ascertained that WFH seems likely to become a permanent managerial practice in terms of human resources, rather than a simple circumstantial measure. Moreover, this study can be considered as one of the first studies that assess the effect of WFH on employees’ job performance via a mediation role of employee attributes, in the context of Saudi firms.
Strengthening Collaboration of the Indigenous Peoples in the Russian Arctic: Adaptation in the COVID-19 Pandemic Times
Authors: Bogdanova Elena , Filant Konstantin , Ivanova Medeya , Romanenko Tatiana , Voronina Ludmila , Hossain Kamrul , Filant Praskovia , Andronov Sergei , Lobanov Andrey
Published: March 2022

The article presents the challenges of the Indigenous peoples’ interplay with the key actors (Indigenous communities, Indigenous associations, regional governments, corporate businesses, and scientific institutions) in the Russian Arctic. Invoking actor–network theory offered knowledge to analyse how the effectiveness of this collaboration may lead to Indigenous peoples’ social adaptation in the COVID-19 times. It revealed the main problems increasing their vulnerability and making barriers to meeting sustainable development goals (SDGs). The primary sources included the data collected from expert interviews in the Yamal-Nenets Autonomous Okrug, the Nenets Autonomous Okrug, and the Murmansk region in 2020–2021. The main findings proved the gaps in the interplay of Indigenous peoples with key actors in the Russian Arctic due to insufficient interregional and international cooperation, indirect communication of governments with Indigenous peoples via Indigenous associations and communities focused mostly on supporting elites, and the lack of systematic feedback of all key actors. This collaboration must be focused on meeting SDGs and guaranteeing their economic, social, and cultural rights to maintain a traditional lifestyle and livelihoods, involving them in natural resource management, improving quality of life and well-being, increasing access to ethnocultural education, reducing inequality, and promoting Indigenous peoples’ self-government.
The Impact of Nomophobia, Stress, and Loneliness on Smartphone Addiction among Young Adults during and after the COVID-19 Pandemic: An Israeli Case Analysis
Authors: Zwilling Moti
Published: March 2022

Technological development in recent times has dramatically changed the way people live, interact with, and consume information. Since the emergence of the first iPhone in January 2007 until today, mobile phones are used daily for a range of purposes. Using mobile phones for various purposes intensified during the COVID-19 pandemic due to isolation or government lockdown regulations. However, along with the advantages of smartphone usage there are many disadvantages such as smartphone addiction and continuous exposure to digital screens, behaviors known as PSU—problematic smartphone use. This study explores the impact of several variables on PSU: loneliness, the need for social interaction, sleep hours, fear of losing phone access (nomophobia), and stress among young adults in Israel. The variables are examined with respect to two time periods: 1. During the COVID-19 pandemic lockdowns (defined as “T1”) and 2. Following the end of the first wave of COVID-19 lockdowns (defined as “T2”). The results indicated that nomophobia, social affiliation, and sleep hours affect PSU. In addition, the indirect effect of the number of sleep hours on stress and PSU was found to be significant in T2 and in T1. The findings and their implications are discussed.
Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia
Authors: Warganegara Dezie Leonarda , Babolian Hendijani Roozbeh
Published: March 2022

(1) Background: This is one of the few studies to look into online grocery shopping behavior in Indonesia, as an emerging sector of the economy. The technology acceptance model is extended in this study to include price, health risk, and a reference group to better understand the factors and the extent to which they influence online grocery shopping. (2) Methods: In order to achieve the goal of the research and test the research model, a literature-based questionnaire was developed and distributed to 300 respondents in Jakarta via online platforms. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used in this study. (3) Results: We discovered that ease of use, usefulness, attitude, and reference group had a statistically significant relationship with intention and actual use of online platforms to purchase groceries in Indonesia. However, neither health risk nor price were found to be significantly correlated with respondents’ purchasing intent. (4) Conclusions: Several practical and theoretical implications for decision makers designing marketing strategies are discussed based on the findings.
The NuGrid AGB Evolution and Nucleosynthesis Data Set
Authors: Battino Umberto , Pignatari Marco , Tattersall Ashley , Denissenkov Pavel , Herwig Falk
Published: March 2022

Asymptotic Giant Branch (AGB) stars play a key role in the chemical evolution of galaxies. These stars are the fundamental stellar site for the production of light elements such as C, N and F, and half of the elements heavier than Fe via the slow neutron capture process (s-process). Hence, detailed computational models of AGB stars’ evolution and nucleosynthesis are essential for galactic chemical evolution. In this work, we discuss the progress in updating the NuGrid data set of AGB stellar models and abundance yields. All stellar models have been computed using the MESA stellar evolution code, coupled with the post-processing mppnp code to calculate the full nucleosynthesis. The final data set will include the initial masses Mini/M⊙ = 1, 1.65, 2, 3, 4, 5, 6 and 7 for initial metallicities Z = 0.0001, 0.001, 0.006, 0.01, 0.02 and 0.03. Observed s-process abundances on the surfaces of evolved stars as well as the typical light elements in the composition of H-deficient post-AGB stars are reproduced. A key short-term goal is to complete and expand the AGB stars data set for the full metallicity range. Chemical yield tables are provided for the available models.
Assessing the Impacts of Dike Systems on Water Quality in Natural Reserves of the Vietnamese Mekong Delta
Authors: Lien Bui Thi Bich , Ngan Nguyen Thi Thanh , Kumar Pankaj , Dang Trinh Trung Tri , Hong Tran Thi Kim , Ty Tran Van , Avtar Ram , Minh Huynh Vuong Thu
Published: March 2022

Protected places such as nature reserves (NRs) are used to maintain ecological balance, biodiversity, and support surrounding ecosystems. However, the development and operation of infrastructure such as dikes and sluice gates in NRs, as seen in the Vietnamese Mekong Delta (VMD), often adversely affects the hydrological regime and water quality at both local and regional scales. This study analyzes the consequences of a constructed dike system on the hydrological regime and water quality in the NRs through an integrated approach including hydrochemical analysis (using descriptive statistics and weighted arithmetic water quality index (WAWQI) analysis), traditional interviews (face to face), using semi-structured questionnaires, field surveys, and secondary data. Results show that constructed infrastructure has helped maintain water supplies for both livelihoods and forest fire prevention. However, considerable impacts on the hydrological regime and water quality have occurred. From water quality assessments in three NRs, 29% of sampling sites in the My Phuoc melaleuca forest (MPMF) had WAWQI values over 100, while all sites in Lung Ngoc Hoang NR (LNHNR) and Mua Xuan Agriculture Center (MXAC) had WAWQI values over 100. This was to a large extent due to elevated concentration of chemical oxygen demand (COD), biological oxygen demand (BOD5), and phosphate (PO43−). Meanwhile, during the wet season, pollution was marginally reduced by dilution, with 42.86% of sites at Lung Ngoc Hoang NR, 28.57% of sites at MXAC, and 78.57% of sites at MPMF having WAWQI values of less than 100. These results show the issue of water pollution at spatio-temporal scales, and call for better holistic management options for improving the hydrological regime and water quality.
Oropharyngeal Shedding of Gammaherpesvirus DNA by Cats, and Natural Infection of Salivary Epithelium
Authors: Rose Elizabeth C. , Tse Tiffany Y. , Oates Andrew W. , Jackson Ken , Pfeiffer Susanne , Donahoe Shannon L. , Setyo Laura , Barrs Vanessa R. , Beatty Julia A. , Pesavento Patricia A.
Published: March 2022

Felis catus gammaherpesvirus-1 (FcaGHV1), a novel candidate oncogenic virus, infects cats worldwide. Whether the oropharynx is a site of virus shedding and persistence, and whether oronasal carcinomas harbor FcaGHV1 nucleic acid were investigated. In a prospective molecular epidemiological study, FcaGHV1 DNA was detected by cPCR in oropharyngeal swabs from 26/155 (16.8%) of cats. Oropharyngeal shedding was less frequently detected in kittens ≤3 months of age (5/94, 5.3%) than in older animals; >3 months to ≤1 year: 8/26, 30.8%, (p = 0.001, OR 7.91, 95% CI (2.320, 26.979)); >1 year to ≤6 years: 10/20, 50%, (p < 0.001, OR 17.8 95% CI (5.065, 62.557)); >6 years: 3/15, 33% (p = 0.078). Provenance (shelter-owned/privately owned) was not associated with shedding. In situ hybridization (ISH) identified FcaGHV1-infected cells in salivary glandular epithelium but not in other oronasal tissues from two of three cats shedding viral DNA in the oropharynx. In a retrospective dataset of 11 oronasopharyngeal carcinomas, a single tumor tested positive for FcaGHV1 DNA by ISH, a papillary carcinoma, where scattered neoplastic cells showed discrete nuclear hybridization. These data support the oronasopharynx as a site of FcaGHV1 shedding, particularly after maternal antibodies are expected to decline. The salivary epithelium is identified as a potential site of FcaGHV1 persistence. No evidence supporting a role for FcaGHV1 in feline oronasal carcinomas was found in the examined tumours.
Seroprevalence, Waning and Correlates of Anti-SARS-CoV-2 IgG Antibodies in Tyrol, Austria: Large-Scale Study of 35,193 Blood Donors Conducted between June 2020 and September 2021
Authors: Siller Anita , Seekircher Lisa , Wachter Gregor A. , Astl Manfred , Tschiderer Lena , Pfeifer Bernhard , Gaber Manfred , Schennach Harald , Willeit Peter
Published: March 2022

There is uncertainty about the seroprevalence of anti-SARS-CoV-2 antibodies in the general population of Austria and about the waning of antibodies over time. We conducted a seroepidemiological study between June 2020 and September 2021, enrolling blood donors aged 18–70 years across Tyrol, Austria (participation rate: 84.0%). We analyzed serum samples for antibodies against the spike or the nucleocapsid proteins of SARS-CoV-2. We performed a total of 47,363 samples taken from 35,193 individuals (median age, 43.1 years (IQR: 29.3–53.7); 45.3% women; 10.0% with prior SARS-CoV-2 infection). Seroprevalence increased from 3.4% (95% CI: 2.8–4.2%) in June 2020 to 82.7% (95% CI: 81.4–83.8%) in September 2021, largely due to vaccination. Anti-spike IgG seroprevalence was 99.6% (95% CI: 99.4–99.7%) among fully vaccinated individuals, 90.4% (95% CI: 88.8–91.7%) among unvaccinated individuals with prior infection and 11.5% (95% CI: 10.8–12.3%) among unvaccinated individuals without known prior infection. Anti-spike IgG levels were reduced by 44.0% (95% CI: 34.9–51.7%) at 5–6 months compared with 0–3 months after infection. In fully vaccinated individuals, they decreased by 31.7% (95% CI: 29.4–33.9%) per month. In conclusion, seroprevalence in Tyrol increased to 82.7% in September 2021, with the bulk of seropositivity stemming from vaccination. Antibody levels substantially and gradually declined after vaccination or infection.
Autonomous Human-Vehicle Leader-Follower Control Using Deep-Learning-Driven Gesture Recognition
Authors: Schulte Joseph , Kocherovsky Mark , Paul Nicholas , Pleune Mitchell , Chung Chan-Jin
Published: March 2022

Leader-follower autonomy (LFA) systems have so far only focused on vehicles following other vehicles. Though there have been several decades of research into this topic, there has not yet been any work on human-vehicle leader-follower systems in the known literature. We present a system in which an autonomous vehicle—our ACTor 1 platform—can follow a human leader who controls the vehicle through hand-and-body gestures. We successfully developed a modular pipeline that uses artificial intelligence/deep learning to recognize hand-and-body gestures from a user in view of the vehicle’s camera and translate those gestures into physical action by the vehicle. We demonstrate our work using our ACTor 1 platform, a modified Polaris Gem 2. Results show that our modular pipeline design reliably recognizes human body language and translates the body language into LFA commands in real time. This work has numerous applications such as material transport in industrial contexts.
Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries
Authors: Medeiros Ivo , Fernandez-Novo Aitor , Astiz Susana , Simões João
Published: March 2022

This work aimed to review the important aspects of the dairy industry evolution at herd level, interrelating production with health management systems. Since the beginning of the industrialization of the dairy cattle sector (1950s), driven by the need to feed the rapidly growing urban areas, this industry has experienced several improvements, evolving in management and technology. These changes have been felt above all in the terms of milking, rearing, nutrition, reproductive management, and design of facilities. Shortage of labor, emphasis on increasing farm efficiency, and quality of life of the farmers were the driving factors for these changes. To achieve it, in many areas of the world, pasture production has been abandoned, moving to indoor production, which allows for greater nutritional and reproductive control of the animals. To keep pace with this paradigm in milk production, animal health management has also been improved. Prevention and biosecurity have become essential to control and prevent pathologies that cause great economic losses. As such, veterinary herd health management programs were created, allowing the management of health of the herd as a whole, through the common work of veterinarians and farmers. These programs address the farms holistically, from breeding to nutrition, from prevention to consultancy. In addition, farmers are now faced with a consumer more concerned on animal production, valuing certified products that respect animal health and welfare, as well as environmental sustainability.
Improved Spectral Water Index Combined with Otsu Algorithm to Extract Muddy Coastline Data
Authors: Tang Wei , Zhao Chengyi , Lin Jing , Jiao Caixia , Zheng Guanghui , Zhu Jianting , Pan Xishan , Han Xue
Published: March 2022

Based on the spectral reflection characteristics analysis of the muddy coastline in Jiangsu, an improved spectral water index (IWI) combined with the Otsu algorithm is proposed to extract muddy coastlines from Landsat Operational Land Imager (OLI) images. The IWI-extracted coastline results are compared with those extracted by the modified normalized difference water index (MNDWI), normalized difference water index (NDWI), enhanced water index (EWI), revised normalized different water index (RNDWI) and automated water extraction index (AWEI). The results show that the IWI is not affected by tidal conditions or sand content in the water, can reduce the “salt-and-pepper” phenomenon in the Otsu algorithm classification, can accurately identify water boundaries and can extract silty mudflats and marine buildings with high accuracy. It can also significantly increase the degree of automation of coastline extraction. The IWI combined with the Otsu algorithm demonstrates high accuracy of over 84% in the extraction muddy coastline data with one-pixel tolerance, which is twice as accurate as other indices. The accuracy of extraction for all other types of coastlines is over 81%. Therefore, the IWI index combined with the Otsu algorithm is reliable for studies of sea–land processes and coastline evolutions.
IMPEMENTASI PEMBERIAN KOMPENSASI TERHADAP KORBAN TINDAK PIDANA TERORISME BERDASARKAN UNDANG-UNDANG REPUBLIK INDONESIA NOMOR 31 TAHUN 2014 TENTANG PERLINDUNGAN SAKSI DAN KORBAN
Authors: Isnaini Yun Frida , Semendawai Abdul Haris , Fadillah Syarif
Published: March 2022

Yun Frida Isnaini, 1220160023, The Implementation of Compensation for Victims of CriminalActs Terrorism According to concerning Protection of Witnesses and Victims Law Number 31 of2014. Faculty of Law, Universitas Islam As-Syafi’iyah, 2020. This study elaborate on theprotection of victims of terrorism according to the Protection of Witnesses and Victims Law. Thisstudy aims to determine that there is a need for compensation for victims of criminal acts ofterrorism in Indonesia, as well as for criminal acts of terrorism to be compensated based on thelaws in Indonesia. The research was conducted by analyzing court decisions. In addition, theauthor also conducts literature studies by examining books, literature, and invitation regulationsrelated to the problems that the author discusses in this thesis. The results of the research showthat: (1) The mechanism for providing compensation by the Witness and Victim Protection Agencythrough court decisions, (2) Compensation is a form of state responsibility for victims of criminalacts of terrorism.
Perlindungan Hukum bagi Anak Pelaku Tindak Pidana Seksual menurut Undang-Undang Nomor 35 Tahun 2014 tentang Perlindungan Anak
Authors: Hidayah Ulfah , Makarao M Taofik , Fadillah Syarif
Published: March 2022

Ulfa Hidayah Syarikatunnamla, 1220160028, Legal Protection for Child Actors Sexual Offenses According to Law No. 35 of 2014 regarding Child Protection. A child who has committed a criminal act of sexual need still obtain legal protection in all proceedings before or during the trial in the best interest of the child. The government has established Law Number 35 of 2014 concerning Child Protection as a strong legal basis to protect the rights of children as perpetrators. This research uses a qualitative descriptive research method, which is in the form of describing, analyzing and analyzing the applicable provisions, to provide an overview of how legal protection for child perpetrators of sexual crimes is linked to the Child Protection Act. The results of this study have illustrated that the Child Protection Law is good enough in terms of protecting children's rights and sanctions for children who violate the rules. It's just that what needs to be considered is the implementation, so that the regulations and their implementation can go walk side by side.
Penegakkan Hukum terhadap Tindak Pidana Pencurian Data Pribadi melalui Internet Ditinjau dari Undang-Undang Nomor 19 Tahun 2016 tentang Perubahan Atas Undang-Undang Nomor 11 Tahun 2008 tentang ITE (Informasi dan Transaksi Elektronik)
Authors: Sari Mia Puspita , Mamang Damrah , Zakky Moh
Published: March 2022

Mia Puspita Sari, 1220150021, Law Enforcement of the Crime of Personal Data Theft Through the Internet Judging from Law No. 11 of 2008 concerning Amendments to Law No.19 of 2016 concerning ITE (Information and Electronic Transactions) Faculty of Law, Islamic University As-Syafi’iyah, 2020. This thesis discusses the theft of personal data that often occurs but law enforcement is still minimal. The object of research uses a case study of the Purwakarta District Court Decision with the problem approach used is the normative juridical problem approach, namely the approach taken through literature study by examining secondary data in the form of laws and regulations, and empirical juridical by conducting interviews with several sources of regulation analysis and analysis law enforcement process. Lack of awareness of the victims to report their cases, makes the law enforcement process is still minimal. Based on the results of the research and discussion carried out that in law enforcement against the theft of personal data of the user of the provider is carried out by means of prosecution and non-punishment by the Purwakarta Regional Police and the Ministry of Communication and Information.
Tanggung Jawab Pemilik Konten yang Mengunggah Ulang Video di Jejaring Media Sosial Menggunakan Prinsip Penggunaan Wajar menurut Undang-Undang Nomor 28 Tahun 2014 tentang Hak Cipta
Authors: Dzikrullah Muhammad Ifqie , Lubis Efridani , Fauziah Fauziah
Published: March 2022

This thesis discusses the responsibility of content owners who re-upload videos on social media networks. This thesis is motivated by the large number of re-uploaders making content creators nervous because a content creator has made a video with great effort. Many YouTubers have appealed to "against" re-uploaders by not watching their videos, but even with the appeal there are still many actors who re-upload them in cyberspace. The formulation of the problem in this thesis is about How Law No.28 of 2014 concerning Copyright regulates re-uploading of video content networked by social media and How is the responsibility of content creators who re-uploaders to the original owner of content networked by social media. This type of research is library research which then collects and studies data that comes from books, literature, scientific journals, legal documents related to the object of research. The results of this study explain that the perpetrator's responsibility to deactivate the account is as done by the perpetrator of a fatal re-upload as was done by the Malik Tube Youtube channel which uploaded all the contents of the Dalang Pelo channel. Because there were many negative comments and received a warning from Youtube, the content was finally deactivated permanently. The conclusion of this thesis is that regarding the responsibility of content creators who are proven to re-upload at this time only apologies to their personal social media, and delete the content from their accounts and even deactivate the account forever.
SỰ BIẾN ĐỘNG CỦA MỘT SỐ CHỈ TIÊU HÌNH THÁI CỦA Periophthalmus variabilis PHÂN BỐ Ở VEN BIỂN ĐỒNG BẰNG SÔNG CỬU LONG
Authors: Quang Đinh Minh , Lam Võ Thị Thảo , Tôn Nguyễn Hữu Đức , Ngôn Trương Trọng
Published: March 2022

Nghiên cứu này bổ sung các thông tin về sự biến đổi các thông số về hình dạng ngoài của Periophthalmus variabilis. Tổng số có 495 cá thể thu được ở Duyên Hải, Trà Vinh; Trần Đề, Sóc Trăng; Đông Hải, Bạc Liêu và Đầm Dơi, Cà Mau. Mẫu cá được thu một cách liên tục trong 12 tháng từ tháng 4/2020 đến tháng 3/2021. Kết quả phân tích cho thấy chiều dài tổng và khối lượng của cá biến đổi theo giới tính, mùa và địa điểm. Các tương tác: giới tính ´ mùa, giới tính ´ địa điểm và mùa ´ địa điểm không ảnh hưởng đến sự biến động của TL và W. Một số thông số hình thái và tỉ lệ đặc trưng của loài cá này như ED, DE, BD, HL, HL/TL, BD/TL, DE/HL, ED/HL biến động theo mùa, địa điểm và không thay đổi theo giới tính. Các thông số này của P. variabilis không bị tác động bởi giới tính ´ mùa, giới tính ´ địa điểm và mùa ´ địa điểm. Nghiên cứu đã cung cấp được các dẫn liệu hữu ích cho việc định danh và sự hiểu biết về thích nghi sinh thái của loài này.
ỨNG DỤNG GIẢI THUẬT TÌM KIẾM TỐI ƯU DỰA THEO CHUYỂN ĐỘNG ION CHO BÀI TOÁN TÌM KIẾM THAM SỐ TỐI ƯU CỦA BỘ ĐIỀU KHIỂN MỜ
Authors: Thương Dương Mai , Thu Đào Thị , Tuyển Nguyễn Thị
Published: March 2022

Trong thực tế, chúng ta thường sử dụng bộ điều khiển PI để ổn định  tốc độ động cơ điện một chiều với chất lượng điều khiển ở mức chấp nhận được. Khi cần nâng cao hơn nữa chất lượng điều khiển và đáp ứng với các tốc độ đặt khác nhau, bộ điều khiển mờ là một sự lựa chọn phù hợp. Tuy nhiên, việc thiết kế bộ điều khiển mờ thường gặp khó khăn do việc xác định các tham số của bộ điều khiển này phụ thuộc rất nhiều vào kinh nghiệm của người thiết kế. Trong bài báo này, các tác giả trình bày cách thức áp dụng giải thuật tìm kiếm tối ưu dựa trên chuyển động ion để tự động tìm kiếm tham số tối ưu của bộ điều khiển mờ cho bài toán ổn định tốc độ động cơ một chiều. Các kết quả đạt được thông qua mô phỏng và thực nghiệm cho thấy, bộ điều khiển mờ với các tham số được xác định bởi giải thuật IMO có chất lượng hoạt động rất tốt với thời gian xác lập nhanh (1.42378 s), độ quá điều chỉnh thấp (0.51%) và thích ứng nhanh khi các tốc độ đặt của động cơ thay đổi liên tục.