Remote Processing Research Articles

C.E. Credit Practice Quiz for “Completing the Kindergarten Oral Health Assessment (KOHA) Using an AI-Supported Remote Assessment Process”

C.E. Credit Practice Quiz for “Completing the Kindergarten Oral Health Assessment (KOHA) Using an AI-Supported Remote Assessment Process”

Coupling Rotary Motion to Helicene Inversion within a Molecular Motor.

Towards complex coupled molecular motions, the remote handedness inversion of a helicene moiety was achieved by a rotary molecular motor. The use of a specifically engineered dynamic helicene stator in a novel overcrowded-alkene second-generation molecular motor based on a fluorinated dibenzofluorene fragment allows for an unprecedented control over helicity inversion. This is achieved by the mechanical coupling of the rotation of the rotor to the helicene inversion of the stator half via a remote chirality transmission process. Thus, the unidirectional rotary motion generated upon irradiation is used to invert the dynamic stereochemistry of a helicene, leading to a 6-steps cycle with eight intermediates. In this cycle, both alternation between P and M configurations of the helicene stator and dynamic thermal interconversion (paddling motion) can be achieved. In-depth computational and spectroscopic studies were performed to support the associated mechanism. The control over coupled motion and dynamic helicity offers prospects for the development of complex responsive systems.

Coupling Rotary Motion to Helicene Inversion within a Molecular Motor

Towards complex coupled molecular motions, the remote handedness inversion of a helicene moiety was achieved by a rotary molecular motor. The use of a specifically engineered dynamic helicene stator in a novel overcrowded‐alkene second‐generation molecular motor based on a fluorinated dibenzofluorene fragment allows for an unprecedented control over helicity inversion. This is achieved by the mechanical coupling of the rotation of the rotor to the helicene inversion of the stator half via a remote chirality transmission process. Thus, the unidirectional rotary motion generated upon irradiation is used to invert the dynamic stereochemistry of a helicene, leading to a 6‐steps cycle with eight intermediates. In this cycle, both alternation between P and M configurations of the helicene stator and dynamic thermal interconversion (paddling motion) can be achieved. In‐depth computational and spectroscopic studies were performed to support the associated mechanism. The control over coupled motion and dynamic helicity offers prospects for the development of complex responsive systems.

Completing the Kindergarten Oral Health Assessment (KOHA) Using an AI-Supported Remote Assessment Process

Completing the Kindergarten Oral Health Assessment (KOHA) Using an AI-Supported Remote Assessment Process

An Optimised Task Scheduling of Remote Sensing Data Processing for Smart Patient Health Monitoring

An Optimised Task Scheduling of Remote Sensing Data Processing for Smart Patient Health Monitoring

Research on the inverse kinematics of heavy-load manipulator and end-effector for fusion reactor

The environment in Tokamak fusion reactor is hostile to remote handling (RH) equipment that maintains in-vessel components. Many maintenance tasks include transferring components, pipe cutting, and welding in the vacuum vessel (VV). To fulfill these maintenance works, a 7- degree-of-freedom (DOF) heavy load manipulator and a 3-DOF end-effector are designed and connected together to form a 10-DOF redundant robot. The inverse kinematics for such a high redundancy robot, considering obstacle avoidance in the complex space of VV, is a challenge. To solve this problem, the Jacobian method is adopted, and a method specially designed for obstacle avoidance of redundant robots working in the VV is integrated to simplify algorithm calculation and improve inverse solution efficiency. The algorithm is applied to solve the inverse kinematics of the redundant robot for the maintenance of the divertor plasma facing components (PFC) in VV. The results show that the inverse kinematics of the redundant robot can be solved quickly with high positioning accuracy. The method can also be used for other fusion reactor maintenance robots with some adjustments. The maintenance efficiency of redundant robot can be improved with the method which can be valuable for the whole remote handling process.

A comparative analysis of remote auditing in Albania: How it affects the quality of enterprise auditing

This paper conducts an extensive examination to explore the impact of remote auditing on audit quality. It aims to ascertain whether remote audit processes can match or exceed the standards set by traditional on-site audits. The study encompasses various remote audit methods, advantages, and challenges. The study employs a mixed methods approach, gathering and analyzing data through both quantitative measures and qualitative techniques. This includes surveys directed at audit professionals to glean insights into remote auditing and its effects on audit quality. Survey findings are analyzed according to a balance scorecard. The findings indicate that remote auditing has the potential to deliver high-quality audits but requires robust technological infrastructure, effective communication channels, and rigorous data protection protocols.

Enhancing Learning Abilities in Students Using a Cognitive Neuroscience Model Based on Brain-Computer Interface Signal Analysis

Computational intelligence is used to create artificially intelligent systems with the ability to learn, adapt, and solve problems. Learners’ computational abilities can be improved with the help of Cognitive Neuroscience techniques. Computational intelligence refers to the ability of a learner based on the complex operations of the brain in the four relevant dimensions: Visual (V), Aural (A), Kinematic (K), and Reading/Writing (R/W). Our proposed framework consists of electroencephalogram (EEG) data acquisition, signal extraction, and EEG signal categorization to assess students’ cognitive learning abilities. Our proposed approach uses an EEG device equipped with a microprocessor, a Think Gear (TGAM) EEG sensor, and a PCB of 16 dry electrodes. The EEG device and the remote processing device are connected by Bluetooth. The EEG signal provides the students with neurofeedback on their cognitive learning capability. The feedback obtained through the learning process will be endowing to improvise computational intelligence. The statistical derivative, Pearson Co-efficient, is used to find the correlation among the derived attributes. The attributes considered are the learner’s gender, stream, age, and geographical region. The results obtained highlight that gender, stream, and age have no correlation with the detectable learning index, and the most accurate learners are kinesthetic ones. Bi-modal learners, who can maintain focus while reading and using their kinematic abilities, had the second highest learning capacity.

Fungibility, accessibility and clinical utility of remote electronic fetal monitoring in improving maternal emotional status compared with traditional method: A multicenter prospective cohort analysis.

Supported by remote signal processing techniques and wireless communication technology, remote electronic fetal monitoring (REFM) has emerged as a promising alternative to traditional electronic fetal monitoring (TEFM) in clinical practice. The aim of this study was to evaluate the comparability, accessibility, and clinical utility of REFM in contrast to TEFM. This was a multicenter prospective cohort study. A cohort of 2900 pregnant women were enrolled from three medical centers between June 1, 2021 and June 31, 2022. Among them, 800 utilized REFM, with 760 of them completing the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) assessments using the devices for 1 month. The control group comprised 2100 pregnant women who did not use REFM. Additionally, 80 pregnant women concurrently employed both REFM and TEFM, and their respective curve coincidence rates were determined through curve fitting. Primary outcomes encompassed pregnancy outcomes in both groups, average curve coincidence rates between REFM and TEFM, as well as SDS and SAS scores. Among the 760 pregnant women who completed SAS and SDS assessments, their average SAS scores before and after 1 month of REFM usage were 43.09 ± 8.04 and 41.58 ± 6.59, respectively. Concurrently, the average SDS scores before and after 1 month of REFM usage were 45.45 ± 9.60 and 44.80 ± 9.17, respectively. A statistically significant decrease was observed in SAS scores (P = 0.005), whereas no significant difference was noted in SDS scores (P = 0.340). Furthermore, a statistically significant difference in the rate of adverse pregnancy outcomes (neonatal asphyxia) emerged between the two groups, those who employed REFM and those who did not (P = 0.021). In the subset of 80 pregnant women employing both REFM and TEFM, all 80 results showed precise congruence between the two methods. The average coincidence rate was determined to be 79.45% ± 12.64%. REFM contributes to improved pregnancy outcomes and exhibits a high level of concordance with TEFM, thereby accurately reflecting the quality of fetal heart monitoring. Additionally, REFM effectively mitigates pregnant women's anxiety. Thus, REFM demonstrates comparability, accessibility, and clinical utility.

Cybersecurity Challenges in the Era of Chinese Electric Passenger Vehicles

The present research focuses on investigating the security of data transmitted by electric passenger vehicles originating from the People’s Republic of China, particularly when sent for remote processing. Initially, the study examines the factors contributing to the widespread presence of Chinese vehicles in the European market. Additionally, it explores the measures undertaken by the European Union to safeguard the information and data security of its member states. Following this investigation, an in-depth qualitative research method involving semi-structured interviews was conducted. Ten experts in information security were interviewed, and their insights were analysed concerning the identified challenges. The primary objective of this publication is to draw attention to the conceptual deficiencies that impede the protection of data and information, highlighting how a large volume of data collected from a third country, in this case, electric passenger vehicles, may pose national security risks.

Electrical conductivity of mantle minerals beneath East Asia revealed by geomagnetic observatory data

The electrical conductivity of the earth’s mantle can provide important information about geodynamic phenomena. East Asia is associated with complex tectonics and geodynamic processes. Hence, it is necessary to better understand the deep structure beneath East Asia. In this study, geomagnetic data obtained from East Asian observatories are employed to image the conductivity structure of the mantle at depths ranging from 410 to 900 km. First, the data are processed using the modified bounded influence remote reference processing (BIRRP) method and the ratio method is used to correct for the ocean effect. Thereafter, the stable C-response curves at the 27 observatories are estimated, and 1D electrical conductivity models for these observatories are established using the L-BFGS method. The conductivity-depth profiles reveal a heterogeneous distribution of the electrical conductivity beneath East Asia. The mantle transition zone (MTZ) beneath East China and Japan is found to be more conductive, whereas the MTZ beneath central and southern regions of China is more resistive. In East China, the dehydration of the stagnant Pacific slab may lead to an increase in the conductivity of the mantle minerals. There is also the possibility of upwelling of the thermal material from the lower mantle beneath the Japanese Island arc. In Northwest China, there exists a large high-conductive body beneath the Tarim area, which could indicate an upwelling of the Tarim mantle plume. Our results provide insights into the deep structure of the earth at the mantle scale.

Dipole acoustic remote detection (ARD) logging and its application in fracture-cave reservoir

Abstract Oil and gas from deep reservoirs are mostly enriched in the fracture-cave reservoirs. For this reason, fine evaluation of large-scale fracture-cave and effective detection of small scale fracture-cave are the key issues to be solved in the exploration of fracture-cave type carbonate reservoirs. The acoustic remote detection logging technology is based on acoustic reflection method to continuously image the formation around the well. The cross dipole array sonic data can be processed to image geological anomalies within a range of about 20 meters outside the well. Dipole S wave remote detection has the remarkable advantages of low emission frequency and larger investigation depth, but it has 180 degrees’ azimuthal ambiguity. This study is based on previously developed far field dipole S wave remote detection tool, finite difference is performed on formation models with and without are obtained for representative fracture-cave formations and remote detection processing and interpretation software is updated. These are applied on a well in the northwestern area. Through the comprehensive analysis of remote logging, conventional logging, electrical imaging logging and seismic data of the fracture-cave geological anomalies, a fine picture of the morphology and development of the geological anomalies from the near wellbore to the far end is formed

Real Time Collaborative Code Editor

Abstract: The main goal of our project is to provide an online platform especially for group coding interviews. This platform provides a comprehensive environment for seamless communication between interviewers and candidates, with the goal of addressing the challenges faced during remote technical assessments. The creation ofa feature-rich web platform is the goal of our project. Thisincludes an adaptable rich text editor that enables coding in real time, a mechanism for instantaneous code evaluation via execution and compilation, integrated video conferencing for efficient communication, and the abilityto set up interview rooms to hold several interviews at once. We're designing a user intuitive interface using technology and strong programming frameworks. The main objectives of the platform are to ensure real time code execution and a seamless interview process. This is achieved by incorporating code compilation engines implementing editing tools and utilizing WebRTC for video conferencing. By creating a user-friendly and productive environment that benefits both interviewers and candidates, our platform seeks to expedite the remote technical interview process. This means reducing logistical obstacles, making thorough coding evaluations possible, and creating a positive interview environment.

What did school administrators learn from the pandemic? A qualitative research

PurposeThis study aims to determine gains acquired by school administrators in the process of emergency remote teaching based on problems they experienced and strategies they used in the process, as well as skills that increased in importance with this process.Design/methodology/approachThis study was designed as a case study, which is one of the qualitative research methods.FindingsAfter the analysis of the data, the themes are as follows: problems experienced, administrative gains provided by the process and administrative skills that increase in importance. In this study, it was found that school administrators used different strategies to solve the problems encountered in the emergency remote teaching process, and these strategies provided them with different perspectives.Originality/valueThis crisis can be turned into an opportunity and that it is necessary to suggest new ways by drawing lessons from this crisis.

A step-by-step guide for remote working in the NHS: evaluation of a virtual consultant psychiatrist hiring scheme.

In 2021, Solent NHS Trust advertised for a fully remote consultant psychiatrist to meet increasing clinical demand. This pilot scheme was evaluated to determine its success. The job applications underwent content analysis, recruitment and support staff were interviewed, and in-depth rolling interviews were conducted with the three now-employed virtual psychiatrists. We have gained an objective understanding of this new and innovative way of working and, overall, shown that fully remote working in the National Health Service (NHS) is feasible. The findings were used to create a step-by-step guide for the remote hiring process, which outlines the necessary steps for conducting it in a safe, swift and successful way. This guide could help other NHS organisations to advertise, recruit and manage fully remote employees.

ExSitu Production and Storage of Exciton-Polariton Vortices in Higher-Order Topological Corner Modes.

We propose a scheme for producing and manipulating quantized exciton-polariton vortices in the higher-order topological corner modes of a two-dimensional array of micropillars. By nonresonantly exciting p-orbital condensates with different orientations at two input corners, polariton vortices carrying the required topological charges can be controllably created at output corners away from the pumping spots. Besides, polariton vortices formed at input corners can be copied to the output corners through the topological edge states. Our scheme provides topological double insurance for intrinsic binary information memory and holds potential applications in remote information processing.

TVRAVNF: an efficient low-cost TEE-based virtual remote attestation scheme for virtual network functions

With the continuous advancement of virtualization technology and the widespread adoption of 5G networks, the application of the Network Function Virtualization (NFV) architecture has become increasingly popular and prevalent. While the NFV architecture brings a lot of advantages, it also introduces security challenges, including the effective and efficient verification of the integrity of deployed Virtual Network Functions (VNFs) and ensuring the secure operation of VNFs. To address the challenge of efficiently conducting virtual remote attestation for VNFs and establishing trust in virtualized environments like NFV architecture, we propose TVRAVNF, which is a highly efficient and low-cost TEE-based virtual remote attestation scheme for VNFs. The scheme we proposed ensures the security and effectiveness of the virtual remote attestation process by leveraging TEE. Furthermore, we introduces a novel local attestation mechanism, which not only reduces the overall overhead of the virtual remote attestation process but also shortens the attestation interval to mitigate Time-Of-Check-Time-Of-Use attacks, thereby enhancing overall security. We conduct experiments to validate the overhead of the TVRAVNF scheme and compare its performance with that of a typical remote attestation process within a maximum unattested time interval. The experimental results demonstrate that, by employing the local attestation mechanism, our solution achieves nearly an 80% significant performance improvement with a relatively small time overhead for small to medium-sized files. This further substantiates the significant advantages of our approach in both security and efficiency.

Plasma Mixing During Active Kelvin‐Helmholtz Instability Under Different IMF Orientations

AbstractWhen the velocity shear between the two plasmas separated by Earth's magnetopause is locally super‐Alfvénic, the Kelvin‐Helmholtz (KH) instability can develop. A crucial role is played by the interplanetary magnetic field (IMF) orientation, which can stabilize the velocity shear. Although, in a linear regime, the instability threshold is equally satisfied during both northward and southward IMF orientations, in situ measurements show that KH instability is preferentially excited during the northward IMF orientation. We investigate this different behavior by means of a mixing parameter which we apply to two KH events to identify both boundaries and the center of waves/vortices. During the northward orientation, the waves/vortex boundaries have stronger electrons than ions mixing, while the opposite is observed at their center. During the southward orientation, instead, particle mixing is observed predominantly at the boundaries. In addition, stronger local ion and electron non‐thermal features are observed during the northward than the southward IMF orientation. Specifically, ion distribution functions are more distorted, due to field‐aligned beams, and electrons have a larger temperature anisotropy during the northward than the southward IMF orientation. The observed kinetic features provide an insight into both local and remote processes that affect the evolution of KH structures.

Press the Button: Designing Learning from Home – The Teacher's Willingness to Change the School Work Routine

What are the challenges and prerequisites for successfully reshaping instructional practices for home-based or remote digital learning? The success of organizational change processes is largely contingent on the willingness of those involved. This article investigates the factors influencing teachers' readiness to digitize their daily work routines, particularly in terms of teaching and learning processes. A total of 72 teachers from vocational schools in Germany participated via the SmartSurvey App during the Covid-19 Pandemic. The quantitative analysis is structured across three levels: firstly, assessing how teachers adapted to the new reality of remote work; secondly, analyzing their readiness to navigate the new instructional landscape characterized by remote teaching and learning processes; and thirdly, exploring teachers' overall attitudes towards digital media and their competency in media-didactics, drawing connections to the remote utilization of digital tools.

Lie Detection Based on Acoustic Analysis

Acoustic lie detection, prized for its covert nature and capability for remote processing, has spurred growing interest in acoustic features that can reliably aid in lie detection. In this study, the aim was to construct an acoustic polygraph based on a variety of phonetic and acoustic features rather than on electrodermal, cardiovascular, and respiratory values. Sixty-two participants from the University of Science and Technology of China, aged 18-30 years old, were involved in the mock crime experiment and were randomly assigned to the innocent and guilty groups. We collected 31 deceptive and truthful audios to analyze the performance of voice onset time (VOT) in lie detection. Our findings revealed that VOT performed well in lie detection. Both the average sensitivity and specificity of the area under the curve are 0.888, and its lower and upper confidence limit are up to 0.803 and 0.973 respectively at the 95% confidence level. Although the other acoustic features had a lower reference value, they also provided a general trend in the judgment of lie detection. Our results suggested that some acoustic features can be effectively used as aids to lie detection. Through a similar approach, we will explore more acoustic and phonetic features that contribute to detecting lies in the future.