bluuebunny/crossref_metadata_2025_split huggingface dataset:
Paraquat and Parkinson’s Disease: The Molecular Crosstalk of Upstream
Signal Transduction Pathways Leading to Apoptosis
Authors: Chung See Wesley Zhi , Naidu Rakesh , Tang Kim San 
Published: February 2023

Abstract:
Parkinson’s disease (PD) is a heterogeneous disease involving a complex interaction between
genes and the environment that affects various cellular pathways and neural networks. Several
studies have suggested that environmental factors such as exposure to herbicides, pesticides, heavy
metals, and other organic pollutants are significant risk factors for the development of PD. Among the
herbicides, paraquat has been commonly used, although it has been banned in many countries due to
its acute toxicity. Although the direct causational relationship between paraquat exposure and PD has
not been established, paraquat has been demonstrated to cause the degeneration of dopaminergic neurons
in the substantia nigra pars compacta. The underlying mechanisms of the dopaminergic lesion are
primarily driven by the generation of reactive oxygen species, decrease in antioxidant enzyme levels,
neuroinflammation, mitochondrial dysfunction, and ER stress, leading to a cascade of molecular crosstalks
that result in the initiation of apoptosis. This review critically analyses the crucial upstream molecular
pathways of the apoptotic cascade involved in paraquat neurotoxicity, including mitogenactivated
protein kinase (MAPK), phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K)/AKT,
mammalian target of rapamycin (mTOR), and Wnt/β-catenin signaling pathways.
A Review of Soft Crawling Robots with Different Driving Methods
Authors: Tang Dedong , Wang Gang , Tang Chunyang , Yu Wenzhuo , Lv Xin 
Published: February 2023

Background:
Traditional rigid robots are difficult to adapt to complex unstructured environments
due to their limited degree of freedom and lack of flexibility. Therefore, soft crawling robots
are concerned widely by their powerful deformation ability, infinite number of degrees of freedom,
and effective interaction with humans.

Objective:
This paper aims to report the recent progress of soft crawling robots and provide a reference
for readers in this field.

Methods:
By reading and summarizing the patents and papers related to soft crawling robots in recent
years, they are divided into three categories according to different driving methods. The structure,
motion mechanism, characteristics, and applications of each class of robots are compared and
analyzed.

Results:
The advantages and disadvantages of each driving method are analyzed, and the key issues
in soft crawling robots are pointed out. Based on this, the future development direction of this research
field is predicted.

Conclusion:
The study shows that according to the driving method, soft crawling robots are classified
as pressure driven, motor-wire driven, and soft active material driven. In addition, the characteristics
of each drive are summarized. In the future, soft crawling robots will have more potential
applications in biomedicine, outdoor survey, rescue search, and inspection and maintenance of
equipment.
Design and Engineering Support of the Process of Deep Drilling of Heat-resistant Steel
Authors: Yatsun E. I. , Mogilev S. N. 
Published: February 2023

Purpose of research. To attain the specified parameters of deep drilling accuracy by creating design and engineering support for the deep drilling process corresponding to the current level of technical and technological development.Methods. Analysis of machine tools and tool systems for drilling deep holes based on the monitoring of the conditions of machinery, equipment, cutting tools and tooling market of leading domestic and global manufacturers. Synthesis of a process system that ensures the creation of a product that meets the world level of quality with maximum process performance.Results. The design and engineering support of the process of deep drilling of high-alloy heat–resistant steel using modern equipment with a high-performance tool - a gun drill, was created. The equipment for the deep drilling process – an anti-vibration rest, an oil receiver, a clamping chuck, a guide bush are proposed. The conditions for the control of flow chips formed during deep drilling with a gun drill and its removal from the processing zone with a cooling mixture are determined.Conclusion. On the basis of the tooling for deep drilling of heat-resistant steel, the possibilities of using both existing at enterprises equipment and modern but expensive equipment, taking into account the series production, are shown. Both of these ways make it possible to ensure the specified accuracy and roughness of processing.To implement the deep drilling process, it is required to design a special tool - a gun drill, taking into account the properties of the material being processed. When implementing the deep drilling process applying specialized equipment, the machining pattern is provided by the tooling of the machine. When implementing the process applying universal equipment, the selected machining pattern is connected with the design and manufacture of the tooling – a clamping chuck, an oil receiver, a guide bush. These tasks are implemented in two ways: by the specialists of the enterprise or involving third-party specialized organizations to design attachments and cutting tools. The choice of the way to implement the deep drilling process depends on the availability of equipment, the size of the batch of parts and technical and economic assessment.
Methodology for Determining Deviations of Pilotless Aircraft from a Given Trajectory by Parallaxes of Underlying Surface Images
Authors: Andronov V. G. , Chuev A. A. , Yudin I. S. 
Published: February 2023

Purpose of research. Development of a methodology for determining deviations of pilotless aircrafts from a given trajectory in conditions of signals loss from navigation satellites.Methods. The technique is based on functional relationship between deviation parameters of pilotless aircrafts from a given trajectory and changes in longitudinal and transverse parallaxes of overlapping images of the underlying surface due to these deviations. Mathematical description of computational procedures for deviation parameters determination used methods of functions approximation and mathematical processing of measurement results with accuracy estimation of obtained results.Results. A methodology that includes monitoring, assessing the level and determining the magnitude and direction of deviations of pilotless aircrafts from a given trajectory was developed. A system of nonlinear equations describing functional relationship between deviation parameters and changes in parallax of overlapping images of the underlying surface is obtained. Linearization, normalization and solutions of this system of equations by the least squares method were performed. Analytical relations were obtained for a posterior accuracy assessment of the obtained results.Conclusion. The technique provides parameters detection and determination of uncoordinated deviations of pilotless aircrafts from a given trajectory with an accuracy commensurate with satellite navigation methods. The proposed approach makes it possible to reduce the number of processed corresponding points in overlapping images and the dimension of the problem being solved in comparison with known methods. This significantly reduces the level of computational and resource costs, which is of great importance for the use of developed technique on the board of miniature pilotless aircrafts.
Development of the Layout of the Experimental Setup for Determining the Stiffness Coefficient of Cylindrical Springs and Studying Free Harmonic Oscillations
Authors: Politov E. N. , Rukavitsyn A. N. , Lomas Arciniega W, P. , Terán Acosta G. R. , Ávalos Cascante F. E. , Puebla Puebla R. E. 
Published: February 2023

Purpose of research. Is to develop a layout of an experimental setup that allows conducting research with elastic elements by exercising a force impact on them as well as automatic data collection and analysis, which allows determining the stiffness coefficient and investigating simple harmonic oscillations.Methods. The developed device makes it possible to determine elasticity coefficient of the spring applying two methods – static and dynamic. The dynamic method requires strict adherence to a certain procedure of experimental stydy. In this case, the system under study is under the action of a restoring force directly proportional to the displacement, i.e. it is a simple generator of harmonic oscillations. The prototype of the experimental setup being created includes a supporting structure, a control system to which an ultrasonic distance measurement sensor is connected, and a special mobile application that allows visualizing and recording the results of measurements in a user-friendly form.Results. The developed prototype makes it possible to determine spring deformation by static and dynamic methods; the presence of a special mobile application for devices with the Android operating system allows the user to control the device from his mobile phone. The experimental device allows visualizing the obtained data graphically and export them to a file of variable values. Exported values are displayed in tabular form for further processing using statistical tools or numerical computing applications.Conclusion. To improve the quality of the educational and training process of physics students it is necessary to introduce special equipment for experimental research into the educational process. Such equipment can be applied in the studies conducted in various sections of mechanics, including kinematics, oscillatory motion, impact, elasticity, etc.
Short-Term Forecasting of Power Consumption of Power Supply Companies Based on the Integration of Technologies of Analytical, Simulation and Expert Systems
Authors: Mektepkaliyeva A. K. , Khanova A. A. , Aminul L. B. 
Published: February 2023

Purpose of research is to improve software support and identify regularities in the processes of short-term forecasting of power consumption of power supply companies based on complementary integration of data mining models, system dynamics and expert systems.Methods. The principles of constructing predictive models of power consumption are given. A system analysis has been carried out and an ontological model of the subject area has been built, taking into account the technological and market environment. The classification of forecasting methods has been considered. The features of the information base for short-term forecasting, including data on actual power consumption and weather data, have been described. The requirements for software for making forecasts have been formulated. A block diagram of the system for forecasting power consumption of the market for the day ahead is built based on the complementary integration of data analysis and modeling software.Results. Scenarios for data processing in Loginom have been developed using the Arimax and Neural Network (Regression) processors to build forecasts based on actual power consumption and taking into account meteorological factors. A system dynamics simulation model that allows exploring the influence of meteorological factors (temperature, pressure, precipitation) on power consumption has been developed in Anylogic. Using Wi!Mi mivar constructor of expert systems, the task has been parametrized; indicators, relationships, rules have been set; a logical conclusion of the solution has been obtained.Conclusion. A block diagram of a system for forecasting the market's power consumption for the day ahead has been built. It is based on the analysis of retrospective information on actual power consumption and meteorological factors using data mining methods, system dynamics and expert systems applying Russian Loginom, Anylogic and Wi!Mi software tools.
The Study of Intelligent Control Elements of a Mobile Robot and Ensuring Information Security of the Process of Its Functioning in a Dynamic Environment
Authors: Makarov M. V. , Astafiev A. V. , Semenov I. A. 
Published: February 2023

Purpose of research. The study presented in this article is aimed at establishing and substantiating the principles of effective incorporation of intelligent elements of the control system of a mobile robot operating in a dynamic environment. The subject of the study was the procedure of simultaneous localization and mapping involved in the control. Indicators related to ensuring the information security of the process of robot functioning in real operating conditions were used as the performance criterion.Methods. A methodology for the experimental study of the software procedure execution for simultaneous localization and mapping within the framework of the task of controlling a mobile robot has been developed and implemented. The main focus of the study is a computer model of an abstract mobile robot performing reconnaissance functions in a virtual dynamic environment. The incorporated elements of intelligent information processing into the procedure of simultaneous localization and mapping are convolutional and fully connected neural network layers that provide filtering of dynamic objects.Results. When conducting this experimental study, a simulation of the process of functioning of a computer model of a reconnaissance mobile robot in a virtual environment has been performed. Similar experiments have been reproduced with various structural and functional configurations of the procedure for simultaneous localization and mapping. Quantitative results have been obtained, demonstrating the accuracy of positioning the subject of the study for each of the methods of organizing this procedure. A comparative analysis of the options for using the elements of intelligent information processing within this procedure has been carried out.Conclusion. It has been established that incorporation of the elements of intelligent information processing into the procedure of simultaneous localization and mapping has an impact on the positioning accuracy of a mobile robot and the reliability of its functioning in a dynamic environment. This contributes to the compliance with information security standards when using mobile robots in real operating conditions. It is also determined that there is their excessive use, which leads to a deviation from the optimal qualities necessary for effective autonomous control of a mobile robot and information security provision.
COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study
Authors: Brusk John J , Bensley Robert J 
Published: February 2023

Background
In response to the COVID-19 pandemic, Wichealth launched 4 information resources on the site’s user landing dashboard page. These resources were used consistently during the period in which they were available (April 1, 2020, through October 31, 2021); however, only 9% (n=50,888) of Wichealth users eligible for inclusion in the study accessed at least one resource. User engagement with emergency response resources within the context of a web-based health educational tool has not been well investigated due to a paucity of opportunities and a lack of the ability to evaluate relevant users at scale.

Objective
This investigation was carried out to understand if user characteristics and behaviors measured by the Wichealth web-based education system are associated with a participant's motivation, or lack thereof, to engage with the added COVID-19 resources.

Methods
Sociodemographic characteristics were gathered from Wichealth users with at least one lesson completed and a complete user profile to identify which factors increase the likelihood of user access of any of the Wichealth COVID-19 response resources during the 19-month period between April 1, 2020, and October 31, 2021. A logistic regression analysis was conducted to determine the relative importance of all factors on the likelihood of a user accessing the COVID-19 resources.

Results
A total of 50,888 unique Wichealth users included in the study accessed the COVID-19 response resources 66,849 times during the time period. During the same period, 510,939 unique Wichealth users completed at least one lesson about how to engage in healthy behaviors with respect to parent-child feeding but did not access any COVID-19 resources. Therefore, only 9% of Wichealth users who completed a lesson during the time when COVID-19 response resources were available accessed any of the information in those resources. Users of the Spanish language Wichealth version, older users, those less educated, and users with prior Wichealth lesson engagement demonstrated the greatest likelihood of COVID-19 resource use.

Conclusions
This investigation presents findings that demonstrate significant differences between Wichealth users that opted to access COVID-19–specific resources and those who chose not to during their web-based educational session. Reaching users of a web-based educational system with supplemental information may require multiple strategies to increase coverage and ensure the widest possible distribution.
Classifying COVID-19 Patients From Chest X-ray Images Using Hybrid Machine Learning Techniques: Development and Evaluation
Authors: Phumkuea Thanakorn , Wongsirichot Thakerng , Damkliang Kasikrit , Navasakulpong Asma 
Published: February 2023

Background
The COVID-19 pandemic has raised global concern, with moderate to severe cases displaying lung inflammation and respiratory failure. Chest x-ray (CXR) imaging is crucial for diagnosis and is usually interpreted by experienced medical specialists. Machine learning has been applied with acceptable accuracy, but computational efficiency has received less attention.

Objective
We introduced a novel hybrid machine learning model to accurately classify COVID-19, non-COVID-19, and healthy patients from CXR images with reduced computational time and promising results. Our proposed model was thoroughly evaluated and compared with existing models.

Methods
A retrospective study was conducted to analyze 5 public data sets containing 4200 CXR images using machine learning techniques including decision trees, support vector machines, and neural networks. The images were preprocessed to undergo image segmentation, enhancement, and feature extraction. The best performing machine learning technique was selected and combined into a multilayer hybrid classification model for COVID-19 (MLHC-COVID-19). The model consisted of 2 layers. The first layer was designed to differentiate healthy individuals from infected patients, while the second layer aimed to classify COVID-19 and non-COVID-19 patients.

Results
The MLHC-COVID-19 model was trained and evaluated on unseen COVID-19 CXR images, achieving reasonably high accuracy and F measures of 0.962 and 0.962, respectively. These results show the effectiveness of the MLHC-COVID-19 in classifying COVID-19 CXR images, with improved accuracy and a reduction in interpretation time. The model was also embedded into a web-based MLHC-COVID-19 computer-aided diagnosis system, which was made publicly available.

Conclusions
The study found that the MLHC-COVID-19 model effectively differentiated CXR images of COVID-19 patients from those of healthy and non-COVID-19 individuals. It outperformed other state-of-the-art deep learning techniques and showed promising results. These results suggest that the MLHC-COVID-19 model could have been instrumental in early detection and diagnosis of COVID-19 patients, thus playing a significant role in controlling and managing the pandemic. Although the pandemic has slowed down, this model can be adapted and utilized for future similar situations. The model was also integrated into a publicly accessible web-based computer-aided diagnosis system.
Data Curation Strategies to Support Responsible Big Social Research and Big Social Data Reuse
Authors: Mannheimer Sara 
Published: February 2023

Big social research repurposes existing data from online sources such as social media, blogs, or online forums, with a goal of advancing knowledge of human behavior and social phenomena. Big social research also presents an array of challenges that can prevent data sharing and reuse.
This brief report presents an overview of a larger study that aims to understand the data curation implications of big social research to support use and reuse of big social data. The study, which is based in the United States, identifies six key issues relating to big social research and big social data curation through a review of the literature. It then further investigates perceptions and practices relating to these six key issues through semi-structured interviews with big social researchers and data curators.
This report concludes with implications for data curation practice: metadata and documentation, connecting with researchers throughout the research process, data repository services, and advocating for community standards. Supporting responsible practices for using big social data can help scale up social science research, thus enhancing our understanding of human behavior and social phenomena.
Analisis daya dukung lingkungan berbasis pariwisata berkelanjutan di semara ratih delodsema village, kabupaten gianyar
Authors: Aswirna Aurelia , Wiyasha Ida Bagus Made , Suprapto I Nyoman Arto 
Published: February 2023

Daya dukung lingkungan adalah jumlah atau daya tampung maksimum yang dapat ditampung oleh lingkungan dalam satu hari, dan perhitungan mengenai daya dukung lingkungan sesuai dengan konsep pembangunan pariwisata berkelanjutan. Metode yang digunakan dalam penelitian ini adalah perhitungan persamaan rumus Cifuentes (1992), yang menganalisis daya dukung fisik (PCC), daya dukung rill (RCC) dan daya dukung efektif (ECC). Teknik pengumpulan data dilakukan melalui observasi, wawancara, penyebaran kuesioner, dan studi literatur. Hasil perhitungan daya dukung lingkungan Semara Ratih Delodsema Village didapatkan nilai (PCC) 716 wisatawan/hari, nilai RCC 32 wisatawan/hari dan nilai ECC 28 wisatawan/hari dengan durasi kunjungan 3,7 jam per hari. Jumlah wisatawan saat ini 50 per hari masih berada diatas jumlah kapasitas efektif yang seharusnya diterapkan oleh Semara Ratih Delodsema Village, atau jumlah wisatawan saat ini melebihi kapasitas daya dukung lingkungan Semara Ratih Delodsema Village.

Environmental carrying capacity is the maximum amount or capacity that can be accommodated by an environment and follows the concept of sustainable tourism development. This study aims to analyze the environmental carrying capacity of Semara Ratih Delodsema Village and the preference between the current number of visits and the calculation of the adequate carrying capacity that can be accommodated per day. The method used in this study is the calculation of the Cifuentes formula (1992), which analyzes Physical Carrying Capacity (PCC), Real Carrying Capacity (RCC), and Effective Carrying Capacity (ECC). Data collection techniques were collected through observation, interviews, questionnaires, and studying documentation. The results of calculations regarding the environmental carrying capacity of Semara Ratih Delodsema Village obtained a value (PCC) of 716 tourists/day, an RCC value of 32 tourists/day, and an ECC value of 28 tourists/day with a visit duration of 3.7 hours per day. Compared to the current number of visits, 50 tourists/day, the ECC value is below the current number of visits, or the current number of visits exceeds the capacity that Semara Ratih Delodsema Village should have to accommodate.