bluuebunny/crossref_metadata_2025 huggingface dataset:
Reducing the Crosstalk in Collinear Holographic Data Storage Systems Based on Random Position Orthogonal Phase-Coding Reference
Authors: Song Haiyang , Li Jianan , Lin Dakui , Liu Hongjie , Lin Yongkun , Hao Jianying , Wang Kun , Lin Xiao , Tan Xiaodi
Published: October 2023

Previous studies have shown that orthogonal phase-coding multiplexing performs well with low crosstalk in conventional off-axis systems. However, noticeable crosstalk occurs when applying the orthogonal phase-coding multiplexing to collinear holographic data storage systems. This paper demonstrates the crosstalk generation mechanism, features, and elimination methods. The crosstalk is caused by an inconsistency in the intensity reconstruction from the orthogonal phase-coded reference wave. The intensity fluctuation range was approximately 40%. Moreover, the more concentrated the distribution of pixels with the same phase key, the more pronounced the crosstalk. We propose an effective random orthogonal phase-coding reference wave method to reduce the crosstalk. The orthogonal phase-coded reference wave is randomly distributed over the entire reference wave. These disordered orthogonal phase-coded reference waves achieve consistent reconstruction intensities exhibiting the desired low-crosstalk storage effect. The average correlation coefficient between pages decreased by 73%, and the similarity decreased by 85%. This orthogonal phase-coding multiplexing method can be applied to encrypted holographic data storage. The low-crosstalk nature of this technique will make the encryption system more secure.
McAPRR2: The Key Regulator of Domesticated Pericarp Color in Bitter Gourd
Authors: Tian Shouwei , Yang Jingjing , Fu Yiqian , Zhang Xiaofei , Zhang Jian , Zhao Hong , Hu Qi , Liu Pangyuan , He Weiming , Han Xiangyang , Wen Changlong
Published: October 2023

Pericarp color is a crucial commercial trait influencing consumer preferences for bitter gourds. However, until now, the gene responsible for this trait has remained unidentified. In this study, we identified a gene (McAPRR2) controlling pericarp color via a genome-wide association study (GWAS) utilizing the resequencing data of 106 bitter gourd accessions. McAPRR2 exhibits three primary haplotypes: Hap1 is a wild type with a green pericarp, Hap2 is a SA (South Asian) and SEA (Southeast Asia) type with a green pericarp, and Hap3 is primarily a SEA type with a light green pericarp. The McAPRR2 haplotype is significantly correlated with both pericarp color and ecological type. Importantly, McAPRR2 with the light green pericarp demonstrated premature termination due to a 15 bp sequence insertion. The phylogenetic tree clustered according to pericarp color and ecological type, using SNPs located in the McAPRR2 gene and its promoter. High πwild/SEA and πSA/SEA values indicate high nucleotide diversity between wild and SEA types and between SA and SEA types in the McAPRR2 gene. The haplotypes, phylogenetic tree, and nucleotide diversity of McAPRR2 suggest that McAPRR2 has undergone domestication selection. This study identifies McAPRR2 as the key gene determining pericarp color in bitter gourds and introduces a novel insight that McAPRR2 is subject to domestication selection.
In Vitro Antimicrobial Activity of Nymphaea pubescens (Pink Water Lily) Leaf Extracts
Authors: Thongdonphum Boontarika , Vanichkul Kittima , Bunchaleamchai Adun , Powthong Pannapa
Published: October 2023

This research comparatively investigates the in vitro antimicrobial activity of extracts from Nymphaea pubescens (pink water lily) leaves against pathogenic bacteria. The experimental extracts are aqueous, acetonic, and 95% ethanolic N. pubescens extracts; and the pathogenic bacteria being studied include Aeromonas hydrophila, Vibrio parahaemolyticus, Vibrio vulnificus, and Vibrio harveyi, which are commonly found in freshwater fish and brackish aquatic animals. The ethanolic N. pubescens extract achieves the highest bacterial inhibitory effects against V. parahaemolyticus and V. vulnificus. The minimum inhibitory concentrations of the ethanolic extract against A. hydrophila and V. harveyi are 10 mg/mL; and 2.5 mg/mL against V. parahaemolyticus and V. vulnificus. The ethanolic N. pubescens extract is effective against V. parahaemolyticus. The high-performance liquid chromatography results show that, in the phenolic acids group, gallic acid is the most dominant (0.600–3.21% w/w), followed by sinapic acid (0.37–0.83% w/w). In the flavonoids group, catechin is the most dominant (0.02–1.08% w/w), followed by rutin (0.002–0.03% w/w). Essentially, the ethanolic N. pubescens extract can potentially be used as a natural antibiotic agent to treat bacterial infections in fish and aquatic animals.
Energy Valley Optimizer (EVO) for Tracking the Global Maximum Power Point in a Solar PV System under Shading
Authors: Azad Md Adil , Sajid Injila , Lu Shiue-Der , Sarwar Adil , Tariq Mohd , Ahmad Shafiq , Liu Hwa-Dong , Lin Chang-Hua , Mahmoud Haitham A.
Published: October 2023

Incorporating bypass diodes within photovoltaic arrays serves to mitigate the negative effects of partial shading scenarios. These situations can lead to the appearance of multiple peaks in the performance of solar panels. Nevertheless, there are cases where conventional maximum power point tracking (MPPT) techniques could encounter inaccuracies, causing them to identify the highest power point within a specific area (the local maximum power point; LMPP) instead of the overall highest power point across the entire array (the global maximum power point; GMPP). Numerous methods based on artificial intelligence (AI) were proposed to address this issue; however, they frequently used cumbersome and unreliable methodologies. This research presents the energy-valley-optimizer-based optimization (EVO) technique, which is designed to efficiently and dependably tackle the issue of partial shading (PS) in detecting the maximum power point (MPP) for photovoltaic (PV) systems. The EVO algorithm enhances the speed of tracking and minimizes power output fluctuations during the tracking phase. Through the utilization of the Typhoon hardware-in-the-loop (HIL) 402 emulator, extensive validation of the proposed technique is conducted. The effectiveness of the suggested method is compared with the established cuckoo search algorithm for achieving maximum power point tracking (MPPT) within a photovoltaic (PV) system. This comparison takes place under equivalent conditions to ensure a fair performance evaluation.
Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow
Authors: Jin Liang , Wang Fei , Wang Xue , Harvey Bohdan P. , Bi Yingtao , Hu Chenqi , Cui Baoliang , Darcy Anhdao T. , Maull John W. , Phillips Ben R. , Kim Youngjae , Jenkins Gary J. , Sornasse Thierry R. , Tian Yu
Published: October 2023

Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases.
Unveiling the Molecular Footprint: Proteome-Based Biomarkers for Alzheimer’s Disease
Authors: Jain Mukul , Dhariwal Rupal , Patil Nil , Ojha Sandhya , Tendulkar Reshma , Tendulkar Mugdha , Dhanda Parmdeep Singh , Yadav Alpa , Kaushik Prashant
Published: October 2023

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder characterized by progressive cognitive decline and memory loss. Early and accurate diagnosis of AD is crucial for implementing timely interventions and developing effective therapeutic strategies. Proteome-based biomarkers have emerged as promising tools for AD diagnosis and prognosis due to their ability to reflect disease-specific molecular alterations. There is of great significance for biomarkers in AD diagnosis and management. It emphasizes the limitations of existing diagnostic approaches and the need for reliable and accessible biomarkers. Proteomics, a field that comprehensively analyzes the entire protein complement of cells, tissues, or bio fluids, is presented as a powerful tool for identifying AD biomarkers. There is a diverse range of proteomic approaches employed in AD research, including mass spectrometry, two-dimensional gel electrophoresis, and protein microarrays. The challenges associated with identifying reliable biomarkers, such as sample heterogeneity and the dynamic nature of the disease. There are well-known proteins implicated in AD pathogenesis, such as amyloid-beta peptides, tau protein, Apo lipoprotein E, and clusterin, as well as inflammatory markers and complement proteins. Validation and clinical utility of proteome-based biomarkers are addressing the challenges involved in validation studies and the diagnostic accuracy of these biomarkers. There is great potential in monitoring disease progression and response to treatment, thereby aiding in personalized medicine approaches for AD patients. There is a great role for bioinformatics and data analysis in proteomics for AD biomarker research and the importance of data preprocessing, statistical analysis, pathway analysis, and integration of multi-omics data for a comprehensive understanding of AD pathophysiology. In conclusion, proteome-based biomarkers hold great promise in the field of AD research. They provide valuable insights into disease mechanisms, aid in early diagnosis, and facilitate personalized treatment strategies. However, further research and validation studies are necessary to harness the full potential of proteome-based biomarkers in clinical practice.
Precious Metal Recovery from Waste Electrical and Electronic Equipment through Oxidative Refining
Authors: Park Eunmi , Kim Minji , Pin Min-Wook , Park Hyunsik , Kim Yong-Hwan
Published: October 2023

This study delves into the application of oxidative refining for the recovery and concentration of precious metals, namely palladium (Pd) and gold (Au), from waste electrical and electronic equipment by WEEE recycling, leveraging pyrometallurgical techniques. The primary objective is to optimize refining parameters, encompassing variations in gas pressure, temperature, and gas composition, to maximize the extraction and purification of precious metals from recycled materials. Through an array of comprehensive characterization techniques, encompassing microstructural analysis, elemental composition assessment, and metal concentration measurement, this study scrutinizes the potential of oxidative refining. The conclusive findings underscore the remarkable potential of oxidative refining in augmenting the efficiency and effectiveness of metal recovery from waste printed circuit boards (PCBs), with a pronounced emphasis on the concentration of Pd and Au. This research not only highlights the promise of oxidative refining but also concludes that optimizing process parameters, such as a N2/O2 mixed gas pressure of 4 L/min, a process time of 40 min, and a temperature of 1400 °C, is imperative for achieving the highest efficiency in metal recovery from electronic waste, especially precious metals like Pd and Au. It further contributes to the sustainable management of electronic waste and the strategic extraction of valuable precious metals.
Multi-Order Mode Excitation and Separation of Ultrasonic Guided Waves in Rod Structures Using 2D-FFT
Authors: Li Gang , Zhang Jing , Cheng Juke , Wang Kang , Yang Dong , Yuan Ye
Published: October 2023

The ultrasonic guided wave technique is extensively used for nondestructive structural testing, and one of the key steps is to extract a single mode with certain purity from multi-order mixed modes. In this paper, the propagation of ultrasonic guided waves in the cylindrical rod is simulated first; the appropriate broadband excitation signal is selected to excite the multi-order modes in a specific frequency range; and the time–space signal containing multi-order modes is converted to the frequency-wavenumber domain signal by two-dimensional Fourier transform. In the frequency-wavenumber domain, the frequency-wavenumber ridge is extracted from the multi-mode frequency-wavenumber domain based on the dynamic programming method, and then the time-domain signal corresponding to a single mode can be reconstructed. By comparing the excited multi-order mode and the separated single mode with the theoretical results, it is observed that the two results are consistent. Thus, the employed mode-excitation method can accurately excite the multi-order modes in rod structures. Furthermore, the proposed method enables the separation of a single-mode wave with high purity, providing a foundation for future utilization of isolated modes.
Development and Experiment of an Innovative Row-Controlled Device for Residual Film Collector to Drive Autonomously along the Ridge
Authors: Chen Zhijian , Yin Jianjun , Yang Jiaxin , Zhou Maile , Wang Xinzhong , Farhan Sheikh Muhammad
Published: October 2023

The field harvesting process of harvesting machinery is often affected by high workload and environmental factors that can impede/delay manual rowing, thereby leading to lower efficiency and quality in the residual film collector. To address this challenge, an automatic rowing control system using the 4mz-220d self-propelled residual film collector as the experimental carrier was proposed in this study. Cotton stalks in the ridges were chosen as the research object, and a comprehensive application of key technologies, machinery, and electronic control was used, thereby incorporating a pure tracking model as the path-tracking control method. To achieve the automatic rowing function during the field traveling process, the fuzzy control principle was implemented to adjust the forward distance within the pure tracking model dynamically, and the expected steering angle of the steering wheel was determined based on the kinematic model of the recovery machine. The MATLAB/Simulink software was utilized to simulate and analyze the proposed model, thus achieving significant improvements in the automation level of the residual film collector. The field harvesting tests showed that the average deviation of the manual rowing was 0.144 m, while the average deviation of the automatic rowing was 0.066 m. Moreover, the average lateral deviation of the automatic rowing was reduced by 0.078 m with a probability of deviation within 0.1 m of 95.71%. The research study demonstrated that the designed automatic rowing system exhibited high stability and robustness, thereby meeting the requirements of the autonomous rowing operations of residual film collectors. The results of this study can serve as a reference for future research on autonomous navigation technology in agriculture.
Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network
Authors: Chen Caifeng , Yuan Yiping , Zhao Feiyang
Published: October 2023

The high correlation between rolling bearing composite faults and single fault samples is prone to misclassification. Therefore, this paper proposes a rolling bearing composite fault diagnosis method based on a deep graph convolutional network. First, the acquired raw vibration signals are pre-processed and divided into sub-samples. Secondly, a number of sub-samples in different health states are constructed as graph-structured data, divided into a training set and a test set. Finally, the training set is used as input to a deep graph convolutional neural network (DGCN) model, which is trained to determine the optimal structure and parameters of the network. A test set verifies the feasibility and effectiveness of the network. The experimental result shows that the DGCN can effectively identify compound faults in rolling bearings, which provides a new approach for the identification of compound faults in bearings.
Random Number Generation Based on Heterogeneous Entropy Sources Fusion in Multi-Sensor Networks
Authors: Zhang Jinxin , Wu Meng
Published: October 2023

The key system serves as a vital foundation for ensuring the security of information systems. In the presence of a large scale of heterogeneous sensors, the use of low-quality keys directly impacts the security of data and user privacy within the sensor network. Therefore, the demand for high-quality keys cannot be underestimated. Random numbers play a fundamental role in the key system, guaranteeing that generated keys possess randomness and unpredictability. To address the issue of random number requirements in multi-sensor network security, this paper introduces a new design approach based on the fusion of chaotic circuits and environmental awareness for the entropy pool. By analyzing potential random source events in the sensor network, a high-quality entropy pool construction is devised. This construction utilizes chaotic circuits and sensor device awareness technology to extract genuinely random events from nature, forming a heterogeneous fusion of a high-quality entropy pool scheme. Comparatively, this proposed scheme outperforms traditional random entropy pool design methods, as it can meet the quantity demands of random entropy sources and significantly enhance the quality of entropy sources, ensuring a robust security foundation for multi-sensor networks.
Automated Interlayer Wall Height Compensation for Wire Based Directed Energy Deposition Additive Manufacturing
Authors: Qin Jian , Vives Javier , Raja Parthiban , Lasisi Shakirudeen , Wang Chong , Charrett Thomas , Ding Jialuo , Williams Stewart , Hallam Jonathan Mark , Tatam Ralph
Published: October 2023

Part quality monitoring and control in wire-based directed energy deposition additive manufacturing (w-DEDAM) processes has been garnering continuous interest from both the academic and industrial sectors. However, maintaining a consistent layer height and ensuring that the wall height aligns closely with the design, as depicted in computer-aided design (CAD) models, pose significant challenges. These challenges arise due to the uncertainties associated with the manufacturing process and the working environment, particularly with extended processing times. To achieve these goals in an industrial scenario, the deposition geometry must be measured with precision and efficiency throughout the part-building process. Moreover, it is essential to comprehend the changes in the interlayer deposition height based on various process parameters. This paper first examines the behaviour of interlayer deposition height when process parameters change within different wall regions, with a particular focus on the transition areas. In addition, this paper explores the potential of geometry monitoring information in implementing interlayer wall height compensation during w-DEDAM part-building. The in-process layer height was monitored using a coherent range-resolved interferometry (RRI) sensor, and the accuracy and efficiency of this measurement were carefully studied. Leveraging this information and understanding of deposition geometry, the control points of the process parameters were identified. Subsequently, appropriate and varied process parameters were applied to each wall region to gradually compensate for wall height. The wall height discrepancies were generally compensated for in two to three layers.
BERT-Based Approaches to Identifying Malicious URLs
Authors: Su Ming-Yang , Su Kuan-Lin
Published: October 2023

Malicious uniform resource locators (URLs) are prevalent in cyberattacks, particularly in phishing attempts aimed at stealing sensitive information or distributing malware. Therefore, it is of paramount importance to accurately detect malicious URLs. Prior research has explored the use of deep-learning models to identify malicious URLs, using the segmentation of URL strings into character-level or word-level tokens, and embedding and employing trained models to differentiate between URLs. In this study, a bidirectional encoder representation from a transformers-based (BERT) model was devised to tokenize URL strings, employing its self-attention mechanism to enhance the understanding of correlations among tokens. Subsequently, a classifier was employed to determine whether a given URL was malicious. In evaluating the proposed methods, three different types of public datasets were utilized: a dataset consisting solely of URL strings from Kaggle, a dataset containing only URL features from GitHub, and a dataset including both types of data from the University of New Brunswick, namely, ISCX 2016. The proposed system achieved accuracy rates of 98.78%, 96.71%, and 99.98% on the three datasets, respectively. Additionally, experiments were conducted on two datasets from different domains—the Internet of Things (IoT) and Domain Name System over HTTPS (DoH)—to demonstrate the versatility of the proposed model.
Managing Competences of Generation Y and Z in the Opinion of the Employees in the Modern Business Services Sector in Poland in the Post-Pandemic Period
Authors: Kuzior Aleksandra , Sobotka Bartosz , Postrzednik-Lotko Katarzyna Anna , Smołka-Franke Brygida
Published: October 2023

The article deals with the issue of changes and competence needs occurring in the work environment related to the increasingly developed Modern Business Services (MBS) sector in Poland. The section “Competencies of Tomorrow and Education of the Future” devotes special attention to showing the specific impact of soft/hard skills on teaching methodologies and, secondly, how soft/hard skills are linked to education for sustainable development. In order to answer the research questions posed, a survey was conducted. The target group covered by the research was people employed in the modern business services industry, representing the youngest generational groups, defined as Y (Millennials—the generation of people born between 1980 and 2000) and Z (the post-2000 generation just entering the workforce). The research was quantitative. Specifically, the results of the research should provide answers to the following research questions: (1) Were the competencies acquired during school education (high school, college) useful in performing professional tasks? (2) Which of the competencies acquired during education are most frequently used when performing professional tasks? (3) Which of the future required competencies (knowledge and skills) necessary/expected when performing professional tasks were not acquired during education? (4) Do employers value and use the competences acquired by employees during their education? (5) In addition to “hard” (technical) competences, do employers also check so-called “soft” (social/personal) competences during the recruitment process? (6) To what extent are the so-called “soft” competences, i.e., social/interpersonal and personal, becoming important in the modern business services sector, according to employees? The research was intended, on the one hand, to show the direction of expected changes in competencies, i.e., the range of knowledge and skills that is becoming necessary today from the point of view of the employer and the requirements for employees, and on the other hand to diagnose whether there is a discrepancy between the current educational systems at the level of secondary and higher education and the needs reported by employers of the sector under study. The research confirmed that the contemporary education system is not sufficient to prepare competent personnel for the modern business services sector.
Pyrolysis and Combustion Characteristics of Two Russian Facemasks: Kinetic Analysis, Gaseous Emissions, and Pyrolysis By-Products
Authors: Kangash Aleksei , Kehrli Damaris , Maryandyshev Pavel , Brillard Alain , Tschamber Valérie
Published: October 2023

Pyrolysis and combustion experiments were performed on two facemasks (hereafter named Tissue and Surgical) commonly used in the Russian Federation, first in a thermobalance and under four low-temperature ramps (5, 10, 15, and 20 °C/min). The pyrolysis mass rate curves present a unique devolatilization peak. The combustion mass rate curves present a unique devolatilization peak followed by a shoulder or a small further peak on its right-hand side. Both processes mainly occur between 200 and 500 °C. Simulations of these pyrolysis and combustion processes are performed with good agreement using the extended independent parallel reaction (EIPR) model. The gas chromatography technique was used to analyze the by-products of pyrolysis experiments performed under isothermal temperatures of 300, 400, and 500 °C. Combustion experiments were finally performed in a horizontal oven under a temperature ramp approximately equal to 5 °C/min to measure the main gaseous emissions: CO2 emissions are the main emissions of the Tissue mask, while total hydrocarbons are the main emissions of the Surgical mask. Significant differences are observed between the results obtained for the two masks because of the fibers they are built with (natural or synthetic).
A Sustainable Wind–Biogas Hybrid System for Remote Areas in Jordan: A Case Study of Mobile Hospital for a Zaatari Syrian Refugee Camp
Authors: Alrbai Mohammad , Al-Dahidi Sameer , Al-Ghussain Loiy , Hayajneh Hassan , Alahmer Ali
Published: October 2023

Access to reliable and sustainable energy in remote areas remains a pressing global challenge, significantly affecting economic development and the quality of life. This study focuses on the implementation of fully off-grid wind–biogas hybrid power systems to address this issue, with a focus on remote healthcare camp facilities. This paper investigates the performance of a hybrid renewable energy system within the context of one of Jordan’s northern remote areas, the Zaatari Syrian Refugee Camp, assessing its efficiency and environmental impact by taking the Zaatari hospital as the case study. Simulations were conducted to evaluate system components, including wind turbines, biogas generators, and diesel generators. A comprehensive evaluation was conducted, encompassing both the operational efficiency of the system and its impact on the environment. This study also considered various scenarios (SC#), including grid availability and autonomy levels, to optimize system configurations. The techno-economic assessment employed the levelized cost of energy (LCOE) as a key performance indicator, and sensitivity analyses explored the impact of diesel costs and wind power fluctuations on the system. Additionally, environmental assessment was conducted to evaluate the environmental effects of hybrid systems, with a specific focus on reducing greenhouse gas emissions. This investigation involved an examination of emissions in three different scenarios. The results indicate that the lowest LCOE that could be achieved was 0.0734 USD/kWh in SC#1 with 72.42% autonomy, whereas achieving 100% autonomy increased the LCOE to 0.1756 USD/kWh. Additionally, the results reveal that in scenarios SC#2 and SC#3, which have a higher proportion of diesel generator usage, there were elevated levels of NOx and CO2 emissions. Conversely, in SC#1, which lacks diesel generators, emissions were notably lower. The proposed hybrid system demonstrates its potential to provide a reliable energy supply to healthcare facilities in remote regions, emphasizing both economic feasibility and environmental benefits. These findings contribute to informed decision making for sustainable energy solutions in similar contexts, promoting healthcare accessibility and environmental sustainability.
Advancements, Challenges, and Future Directions in Aquatic Life Criteria Research in China
Authors: Liu Chen , Geng Zhaomei , Xu Jiayin , Li Qingwei , Zhang Heng , Pan Jinfen
Published: October 2023

Aquatic life criteria (ALC) serve as the scientific foundation for establishing water quality standards, and in China, significant strides have been made in the development of freshwater ALC. This comprehensive review traces the evolution of China’s WQC, focusing on the methodological advancements and challenges in priority pollutants selection, test organism screening, and standardized ecotoxicity testing protocols. It also provides a critical evaluation of quality assurance measures, data validation techniques, and minimum data requirements essential for ALC assessments. The paper highlights China’s technical guidelines for deriving ALC, and reviews the published values for typical pollutants, assessing their impact on environmental quality standards. Emerging trends and future research avenues are discussed, including the incorporation of molecular toxicology data and the development of predictive models for pollutant toxicity. The review concludes by advocating for a tiered WQC system that accommodates China’s diverse ecological regions, thereby offering a robust scientific basis for enhanced water quality management.
A New Approach to String Theory
Authors: Schwarz Albert
Published: October 2023

In the present paper, we consider quantum theories obtained through the quantization of classical theories with first-class constraints assuming that these constraints form a Lie algebra. We show that in this case, one can construct physical quantities of a new type. We apply this construction to string theory. We find that scattering amplitudes in critical bosonic closed string theory can be expressed in terms of physical quantities of the new type. Our techniques can also be applied to superstrings and heterotic strings.
Vibration and Aerodynamic Analysis and Optimization Design of a Test Centrifuge
Authors: Deng Chunyan , He Lidong , Tan Zhifu , Jia Xingyun
Published: October 2023

Taking a type of test centrifuge as the research object, the finite element model of the test centrifuge was established, the vibration characteristics and aerodynamic performance of the test centrifuge were analyzed, and a structural optimization design of the test centrifuge was carried out. In this paper, the load was applied according to the actual working condition of a type of test centrifuge. The vibration of the mounting seat of the test centrifuge was analyzed, and the structure of the mounting seat was improved. After improvement, the vibration of the mounting seat was 77.38% lower than that of the original mounting seat. Then, the aerodynamic analysis of the test centrifuge was carried out. The analysis results show that the test centrifuge moved more smoothly under the whole-package shell and the fairing, the resistance decreased, and the shaft load decreased. Finally, the fairing of the test centrifuge was optimized. The analysis shows that an increase in the width of the fairing can reduce the resistance coefficient, which is helpful to the stability of the test centrifuge during operation and reduces the unbalanced response of the system caused by air resistance.
Analysis of professional stress formation at outpatient polyclinic service nurses
Authors:   FSBEI HE «Samara State Medical University» of the Ministry of Healthcare of Russia, Samara, Russia, Rechkin A. V.
Published: October 2023

The problem of professional stress in modern medical teams is the focus of attention of many domestic and foreign scientists, theorists and practitioners, representatives of various scientific schools and directions. In modern conditions, a clearly expressed need has formed in society for both fundamental and applied knowledge about the causes and nature of professional stress, and methods for managing it. Solving the problem under consideration can help overcome the difficulties that have emerged in connection with the need to manage stress in the organizational environment. Target. To analyze the severity of professional stress among nursing staff in outpatient clinics and, based on the results obtained, to develop recommendations for the prevention and management of stress. Results. Based on theoretical material, the concept of professional stress, its causes and nature, management methods, and developmental features among nursing personnel are revealed; the level of professional stress of clinic nurses, the nature of professional stress, the strength and frequency of stress were determined; typical and subjectively significant causes of stress in the professional activities of specialists have been identified; coping strategies for overcoming stress by nursing staf f have been identified. Conclusion. The study showed that the development of professional stress in nurses is influenced by everyday, routine professional activities, which often require specialists to have quite intensive, not necessarily conflict-ridden, but for various reasons emotionally intense communication.
December 2022-Printed Issue
Authors:   Patient Safety Authority
Published: October 2023

The December 2022 issue of Patient Safety is available to read and download at no charge.

Our latest publication offers vital information, tools, resources, and articles that can help improve the safety and well-being of patients and healthcare workers in the new year.

• Taylor et al. describea patient safety initiative that reduced the incidence of perioperative emergence delirium at a Veterans Affairs hospital (https://patientsafetyj.com/index.php/patientsaf/article/view/emergence-delirium)—and provide you with everything you need to replicate their work.

• What is the past, present, and future of nursing? Nursing professor Eileen Fruchtl discusses how nursing education has been evolving and what it may become (https://patientsafetyj.com/index.php/patientsaf/article/view/nursing-education) following the pandemic, and Toothaker et al. look at the challenges recently graduated nurses face as they transition into the workforce (https://patientsafetyj.com/index.php/patientsaf/article/view/nurse-transition).

• John Olsen et al. describe the success and impact of Jefferson Health’s peer support program, RISE (https://patientsafetyj.com/index.php/patientsaf/article/view/Jefferson-rise) (Resilience in Stressful Events).

• Abigail Baluyot et al. share communication problems they identified in patient hand-offs between hospitals and skilled nursing facilities (https://patientsafetyj.com/index.php/patientsaf/article/view/hospital-snf-communication), and what they did to improve the process.

This issue also includes an important safety alert about the risk of air embolism during cardiac ablation procedures (https://patientsafetyj.com/index.php/patientsaf/article/view/air-embolism), an update to acute care reporting rates in Pennsylvania last year (https://patientsafetyj.com/index.php/patientsaf/article/view/2021-data-update), and an inside look at how prison systems in Pennsylvania deliver healthcare to inmates.

Patient Safety is fully open access (no fees for authors or readers). We welcome submissions from all over the world. If your work can help advance patient safety, please submit it to us for consideration (https://patientsafetyj.com/for-authors), and kindly share our journal with friends, family, colleagues, and caregivers.
Optimal Slicing of mmWave Micro Base Stations for 5G and Beyond
Authors: Fayad Abdulhalim , Cinkler Tibor
Published: October 2023

5G and beyond 5G mobile networks are expected to cater to diverse needs by efficiently allocating network resources based on demand. Network slicing is a fundamental approach that involves segregating and allocating network resources distinctly to a group of users based on their individual needs, and it is widely recognized as an essential concept that caters to various requirements. Allocating such slices will encounter conflicting requests, and effectively implementing network slicing presents multiple challenges. Effective network slicing necessitates efficient management of priority levels among diverse slices. Network slicing necessitates efficient management of priority levels across various slices, specifically focusing on three distinctive categories: Ultra-Reliable Low Latency Communications (URLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communications (mMTC). This paper proposes an optimization framework utilizing a Mixed Integer Linear Program (MILP) to allocate network resources for multiple slices efficiently. Our framework aims to maximize user satisfaction while ensuring that the specific requirements of each slice are met. We categorize the slices into three priority levels: the URLLC slice holds the highest priority, followed by the eMBB slice, and finally, the mMTC slice receives the least priority. By leveraging our proposed MILP-based approach, we dynamically assign network resources to different slices, considering their priority levels. This allocation strategy enables us to optimize resource utilization and effectively meet the diverse demands of users across various slices. Our framework provides a balance between meeting the stringent requirements of the URLLC slice, delivering high-quality services to the eMBB slice, and accommodating the massive connectivity needs of the mMTC slice.
Digital space monitoring. Part I. The concept and method of monitoring
Authors:   Orel State University named after I.S. Turgenev, Grevtseva A. A. , Soroka I. A. ,   Orel State University named after I.S. Turgenev
Published: October 2023

The article discusses the current problems of monitoring the digital space, the Internet, examines historical approaches to the definition of the concept of «monitoring», analyzes the phenomenon of monitoring as an empirical research method in socio-humanitarian knowledge and the significance of its application to ensure the information security of the educational environment. The necessity of monitoring digital technologies used in the educational process is noted.
German and Swiss colonists in the works of Russian authors of the 19th – early 20th centuries.
Authors:   Institute of Slavic Studies, Russian Academy of Sciences, Stepanov V. P.
Published: October 2023

The stages of research of German and Swiss colonists of Bessarabia are presented, the reader gets the opportunity to get acquainted with the stages of their settlement and development of Bessarabian lands. Special attention is paid to the analysis of the works of Russian authors who wrote about German and Swiss colonists in the 19th - early 20th centuries. Despite the exemplary settlements in each of which there was a school, a church, all the necessary infrastructure for life, along with a high culture of land use, the German colonists did not finally integrate into the Bessarabian community. To a large extent, this was prevented at first: religious differences, the language barrier and, finally, special privileges granted by the authorities to German and Swiss settlers, which to a large extent distanced representatives of other ethnosocial communities from this group of residents. Later, the distance was affected by the historical events of the first half of the 20th century. (World War I, the incorporation of Bessarabia into royal Romania in 1918), and finally, a tragic page in the fate of the German colonists - their repatriation to Germany in 1940.
Ecofuturology is one of the directions of modern philosophical thought
Authors:   Gorlovka Institute for Foreign Languages, Rochnyak E.V.
Published: October 2023

The article introduces for the first time the concept of «ecofuturology» as a separate section of ecophilosophy, reveals its content and specifics. It is shown that the essential difference between ecofuturology and futurology is its optimistic, practice-oriented nature, focus on the formation of the desired eco-future.
Network philosophy of artificial rationality: effects of interaction of multi-level systems. Part 1
Authors:   St. Petersburg State University, Kondratenko K.S.
Published: October 2023

The article is one of the aspects of the theory of rational systems - the author's approach designed to interpret and model the world of «new rationality», in which not only the «traditional» carriers of rationality - people, communities, groups, states, but also technology take an active part. Rational systems theory tries to describe «traditional» and «non-traditional» actors with the same tools - cybernetics, general systems theory, structural functionalism, network analysis. In this article, special attention is paid to technical systems, understood as rational systems, however, the author refrains from the actor-network equalization of «humans» and «non-humans», pointing out the irreducibility of the ontologies of natural, spontaneous rationality and artificial rationality. Multi-level systems, coexisting with each other, reveal in themselves a completely different architecture. The study is devoted to identifying these differences.
Desarrollo de competencias en la práctica pedagógica de los docentes de educación básica regular
Authors: Mora Teves Jakeline , Villafuerte Alvarez Carlos Alberto , Guzman Meza Yoany , Guzman Meza Hammi Edith , Meza Cosi Every Yuliana
Published: October 2023

Desde hace mucho tiempo se viene desarrollando un enfoque por competencias, sin embargo, no se ven resultados positivos, por ello este estudio tiene como objetivo describir el desarrollo de competencias en la práctica pedagógica de los docentes de educación básica. Se llevó a cabo un estudio cuantitativo, de tipo descriptivo, con diseño no experimental, de corte transversal; la muestra estuvo constituida por 310 docentes de educación básica; se aplicó un cuestionario usando como técnica la encuesta, el cual fue validada por 5 expertos, para especificar las dimensiones de la practica pedagógica del maestro en el desarrollo de competencias. Finalmente se identificó que el 49,3 % de educadores tiene dominio disciplinar, pero muestran dificultades para ponerlos en práctica, el 64.5% realiza la planificación curricular basada en el diagnóstico inicial, así mismo un 75,2 % pone en práctica la evaluación formativa y un 64,2% considera importante realizar trabajo colegiado. Se concluye que es necesario el fortalecimiento de competencias profesionales para los maestros como herramientas para desarrollar competencias en el aula.
SELECTION OF A METHOD FOR CONTROLLING THE GEOMETRIC DIMENSIONS OF PARTS IN GEODETIC PRODUCTION
Authors: Podolyak O. , Iskachev S. , Sovkov S. , Ovchinnikova V. , Yarkin A. , Lavrinov D.
Published: October 2023

An important aspect in the production of geodetic equipment is the control and measurement of parts of the entire unit. The problem of choosing the method for controlling the geometric dimensions of parts in the production of geodesic products is raised. Simple analysis and further choice of control method do not give a clear answer which method will best suit the requirements of a particular production unit and technological process. The researchers developed an algorithm for selecting a method for controlling the geometric dimensions of parts, consisting of 6 steps. For approbation of the proposed method of analysis control and measuring operations necessary according to technological maps in the production of electronic total stations were considered. The advantages of the algorithm presented are the consideration of the maximum number of parameters in the analysis, taking into account both technical and organizational factors. This method can be used for any object when changing the analysis parameters. The study tested the algorithm for the analysis of the most popular control methods. The first three steps of the algorithm require the formation of an expert commission, which can add subjectivity to the evaluation of the parameters of the analysis. The final steps of the control method selection algorithm are calculated. The result of the proposed method is the calculation of a weighted parametric index
STATIC LOAD TESTING OF A VOLUMETRIC PRECAST REINFORCED CONCRETE MODULE OF A 17-STOREY RESIDENTIAL MODULAR BUILDING
Authors: Riazhskikh B.
Published: October 2023

The paper presents the results of static load tests of a volumetric precast reinforced concrete module of a 17-storey residential modular building. A brief overview of existing research on this topic is given. The main factors limiting the use of modular construction technology are identified. The procedure and stages of the test, as well as the design of the test facility are described in detail. Information about the sensors and other equipment used is provided, along with the description of the operation of the data logging system. The readings of linear position sensors for each loading stage are demonstrated, as well as the crack width at control loads. A qualitative and quantitative assessment of the strength, rigidity and crack resistance of the module is carried out. Based on the test results, it is found that the module satisfied all the requirements of building codes and other regulatory documentation. A subsequent increase in load shows that the load-bearing capacity of the module walls exceeded the required one at least 3.6 times. The test results demonstrate that there is a sufficient reserve of bearing capacity of modules, which opens up wide opportunities for the use of modular construction in high-rise buildings
URBAN PLANNING DEVELOPMENT OF ASTRAKHAN IN THE LAST QUARTER OF THE XVIII CENTURY
Authors: Berezkin S.
Published: October 2023

The urban planning history of Astrakhan continues to be one of the most relevant research topics, both in the all-Russian context and at the local level for understanding the stages of shaping the urban structure. This article presents clarifications about the planning development of Astrakhan in the last quarter of the XVIII century. Based on archival data, the proposals of Governor Krechetnikov P.N. and the initial project of 1775, created under the direction of architect Schneider Y.I., are identified. This plan was the last Highly approved in the XVIII century after the correction by the Commission for the Stone Construction in Saint Petersburg and Moscow. The information about the concept of Potemkin P.S. on the zoning of the territory with the gradation of buildings by number of stories and building materials has been supplemented. Despite the significant role of administrative leaders, architect Digbi A.P. made an important contribution to the creation of the respectable appearance of the central part of the city, consisting of ensembles of administrative, public and residential buildings. The plan of 1798 was approved by the civil governor Zakharov I.S. Emperor Alexander I confirmed the plan in 1801. All parts of the city were integrated into a single system and a regular planning structure was formed as a result of state regulation and support for private construction. Previously unpublished graphic materials from the funds of the Russian State Historical Archive have been analyzed and introduced into scientific circulation