bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Post-Processing Parameters on 3D-Printed Dental Appliances: A Review
Authors: Hassanpour Mana , Narongdej Poom , Alterman Nicolas , Moghtadernejad Sara , Barjasteh Ehsan
Published: October 2024

In recent years, additive manufacturing (AM) has been recognized as a transformative force in the dental industry, with the ability to address escalating demand, expedite production timelines, and reduce labor-intensive processes. Despite the proliferation of three-dimensional printing technologies in dentistry, the absence of well-established post-processing protocols has posed formidable challenges. This comprehensive review paper underscores the critical importance of precision in post-processing techniques for ensuring the acquisition of vital properties, encompassing mechanical strength, biocompatibility, dimensional accuracy, durability, stability, and aesthetic refinement in 3D-printed dental devices. Given that digital light processing (DLP) is the predominant 3D printing technology in dentistry, the main post-processing techniques and effects discussed in this review primarily apply to DLP printing. The four sequential stages of post-processing support removal, washing, secondary polymerization, and surface treatments are systematically navigated, with each phase requiring meticulous evaluation and parameter determination to attain optimal outcomes. From the careful selection of support removal tools to the consideration of solvent choice, washing methodology, and post-curing parameters, this review provides a comprehensive guide for practitioners and researchers. Additionally, the customization of post-processing approaches to suit the distinct characteristics of different resin materials is highlighted. A comprehensive understanding of post-processing techniques is offered, setting the stage for informed decision-making and guiding future research endeavors in the realm of dental additive manufacturing.
The Chitinous Skeleton of Ianthella basta Marine Demosponge as a Renewable Scaffold-Based Carrier of Antiseptics
Authors: Dziedzic Izabela , Dydek Kamil , Voronkina Alona , Kovalchuk Valentin , Jesionowski Teofil , Ehrlich Hermann
Published: October 2024

The chitinous skeleton of the marine demosponge Ianthella basta exhibits a unique network-like 3D architecture, excellent capillary properties, and chemical inertness, making it highly suitable for interdisciplinary research, especially in biomedical applications. This study investigates the potential of renewable I. basta chitinous scaffolds for drug delivery and wound dressing. The scaffolds, characterized by a microtubular structure, were impregnated with selected commercially available antiseptics, including solutions with hydrophilic and hydrophobic properties. Evaluations against selected clinical strains of bacteria, as well as fungi, demonstrated significant zones of growth inhibition with antiseptics such as brilliant green, gentian violet, decamethoxine, and polyhexanide. Notably, the antibacterial properties of these antiseptic-treated chitin matrices persisted for over 72 h, effectively inhibiting microbial growth in fresh cultures. These findings highlight the considerable potential of I. basta chitin scaffolds as sustainable, innovative biomaterials for controlled drug release and wound dressing applications.
Tracking Differentiator-Based Identification Method for Temperature Predictive Control of Uncooled Heating Processes
Authors: Hua Shan , Chen Gang , Dong Yanni , Fan Changhao , Nie Zhuoyun
Published: October 2024

The temperature control of uncooled heating processes presents challenges due to a substantial lag and the absence of active cooling mechanisms, which can lead to overshoot and oscillations. To address these issues, we propose an anti-disturbance identification method based on a tracking differentiator (TD) and an input-constrained temperature predictive control (ICTPC) strategy. Our approach specifically considers the impact of unknown disturbances on model identification within a second-order heating process. By employing a TD to differentiate the input and output signals, we effectively minimize the identification error caused by low-frequency disturbances, yielding a robust anti-disturbance identification technique. Following this, we establish input constraints to limit the amplitude and variation of the control input, ensuring a more controlled and predictable system response. Using the identified model, an ICTPC algorithm is designed to achieve stable temperature control in uncooled heating processes. Experimental results from a typical uncooled heating system demonstrate that our method not only significantly reduces overshoot but also effectively mitigates temperature fluctuations, leading to enhanced control performance and system stability. This study provides a practical solution for temperature control in systems without cooling capabilities, offering substantial improvements in the efficiency and quality of industrial production processes.
Experimental Application of Beneficial, Freeze-Dried Strain Enterococcus durans ED 26E/7 with Postbiotic Activity in Different Yogurts, Its Survival and Stability
Authors: Lauková Andrea , Dvorožňáková Emília , Petrová Miroslava , Maloveská Marcela , Bino Eva , Zábolyová Natália , Kandričáková Anna , Pogány Simonová Monika
Published: October 2024

Yogurt is generally defined as a cultured milk product made using some species of lactic acid bacteria. Moreover, some additive bacteria are frequently involved in yogurts to provide health benefits. The objective of this study was testing the stability and survival of a beneficial strain with postbiotic activity, Enterococcus durans ED 26E/7, in cow, goat, and ewe–goat milk yogurts. The validated methods were used in the study. Postbiotic, concentrated substance (CBs) from the strain ED 26E/7 inhibited growth of indicator bacteria by 60.5%. The strains E. hirae (96%) were susceptible to CBs (inhibitory activity from 200 to 25,600 AU/mL). The growth of staphylococci was inhibited by 79% with activity of 100 up to 25,600 AU/mL. Also, 40 out of 46 fecal E. coli were inhibited (activity 100 AU/mL). CBs was thermo-stable and remained active also after storage for 11 months at −20 °C and −80 °C. Exposing CBs to proteolytic enzymes did not lead to its complete deactivation indicating that it is probably not only a proteinaceous substance. The highest counts of the freeze-dried (encapsulated), safe ED 26E/7 strain and its stability were detected in ewe–goat milk yogurts. They reached up to 5.0 cfu/g. ED 26E/7 represents a further promising additive, although other testing will be performed.
A Novel Surrogate-Assisted Multi-Objective Well Control Parameter Optimization Method Based on Selective Ensembles
Authors: Wang Lian , Deng Rui , Zhang Liang , Qu Jianhua , Wang Hehua , Zhang Liehui , Zhao Xing , Xu Bing , Lv Xindong , Adenutsi Caspar Daniel
Published: October 2024

Multi-objective optimization algorithms are crucial for addressing real-world problems, particularly with regard to optimizing well control parameters, which are often computationally expensive due to their reliance on numerical simulations. Surrogate-assisted models help to reduce this computational burden, but their effectiveness depends on the quality of the surrogates, which can be affected by candidate dimension and noise. This study proposes a novel surrogate-assisted multi-objective optimization framework (MOO-SESA) that combines selective ensemble support-vector regression with NSGA-II. The framework’s uniqueness lies in its adaptive selection of a diverse subset of surrogates, established prior to iteration, to enhance accuracy, robustness, and computational efficiency. To our knowledge, this is the first instance in which selective ensemble techniques with multi-objective optimization have been applied to reservoir well control problems. Through employing an ensemble strategy for improving the quality of the surrogate model, MOO-SESA demonstrated superior well control scenarios and faster convergence compared to traditional surrogate-assisted models when applied to the SPE10 and Egg reservoir models.
Crypto Herf: Utilizing the Herfindahl Index to Assess Cryptocurrency Investment Preference
Authors: Goddard G. Jason , Parrish Todd A. , Church David M.
Published: October 2024

This paper utilizes the Herfindahl Index to assess university business major student investment preferences regarding cryptocurrency. This paper seeks to determine which cryptocurrency investment options are most desirable and, more importantly, ascertain the reasons for said investments. This paper reviews the real estate-based currency of the French Revolution in order to provide historical lineage for the popularity of cryptocurrency investment today.
Confucianism as the Foundation for a “Secular State”: François Bernier’s Interpretation of the Confucian Classics
Authors: Wang Niecai
Published: October 2024

From the late 17th to the early 18th century, Europe witnessed various intellectual debates, and it undeniably received help from places outside Europe such as China. When Chinese history, culture and thought, especially the Confucian classics translated into Latin, were introduced to Europe, they provided resources for comparison and reference for Europe’s ideological crisis. Confucius ou la Science des Princes, the Confucian classic translated by François Bernier, is a typical example. From the perspective of the cross-cultural history of ideas, after carefully analyzing the terminology used in Bernier’s translation and his understanding of Confucius’s thought, this paper will show that Bernier accepted, through the Jesuit translation, the non-religious dimension of politics and ethics in Confucianism, but unlike the Jesuits, he did not see Confucianism as needing Christianity; on the contrary, he believed that politics and ethics could be based on a purely secular philosophy. Based on his secular understanding of Confucius’s thought, Bernier reconstructed Confucius’s texts as a manual to teach European princes, regarding the prince’s virtue, reason and benevolence as the foundation of a country’s good government.
Comparison by Mode of Delivery of Preterm Pregnancy Inductions with Cervical Ripening Balloon: A Retrospective Chart Review
Authors: Roth Lindsey A. , Kreiger-Benson Elana , Friedman Steven , Gossett Dana R. , Shanahan Lisa
Published: October 2024

Background: Preterm inductions may be necessary for maternal comorbidities or fetal abnormalities. Previous studies have identified risk factors for undergoing a cesarean delivery (CD). Our study examined the insertion-to-expulsion time (IET) of cervical ripening balloons (CRB) in preterm inductions that achieved vaginal delivery (VD) compared to CD. Methods: This was a retrospective cohort study of preterm inductions with CRB between 2010 and 2021. Primary outcome was IET of CRB. IRB approval was obtained. Results: The study included 82 women. IET for cesarean patients was significantly greater, and required more removal of CRB at the allotted 12 h. Dilation before and after CRB was significantly greater in the vaginal cohort. There was no significant difference in maternal comorbidities, indication for induction or neonatal complications. Conclusions: Maternal comorbidities, induction indication and neonatal complications were similar between cohorts, making trial of induction with CRB in preterm women a reasonable option. Spontaneous expulsion of CRB and greater dilation may be predictors of vaginal delivery.
Urban Perception Evaluation and Street Refinement Governance Supported by Street View Visual Elements Analysis
Authors: Tang Fengliang , Zeng Peng , Wang Lei , Zhang Longhao , Xu Weixing
Published: October 2024

As street imagery and big data techniques evolve, opportunities for refined urban governance emerge. This study delves into effective methods for urban perception evaluation and street refinement governance by using street view data and deep learning. Employing DeepLabV3+ and VGGNet models, we analyzed street view images from Nanshan District, Shenzhen, identifying critical factors that shape residents’ spatial perceptions, such as urban greenery, road quality, and infrastructure. The findings indicate that robust vegetation, well-maintained roads, and well-designed buildings significantly enhance positive perceptions, whereas detractors like fences reduce quality. Furthermore, Moran’s I statistical analysis and multi-scale geographically weighted regression (MGWR) models highlight spatial heterogeneity and the clustering of perceptions, underscoring the need for location-specific planning. The study also points out that complex street networks in accessible areas enhance living convenience and environmental satisfaction. This research shows that integrating street view data with deep learning provides valuable tools for urban planners and policymakers, aiding in the development of more precise and effective urban governance strategies to foster more livable, resilient, and responsive urban environments.
Applicability of Relatively Low-Cost Multispectral Uncrewed Aerial Systems for Surface Characterization of the Cryosphere
Authors: Rand Colby F. , Khan Alia L.
Published: October 2024

This paper investigates the ability of a relatively low cost, commercially available uncrewed aerial vehicle (UAV), the DJI Mavic 3 Multispectral, to perform cryospheric research. The performance of this UAV, where applicable, is compared to a similar but higher cost system, the DJI Matrice 350, equipped with a Micasense RedEdge-MX Multispectral dual-camera system. The Mavic 3 Multispectral was tested at three field sites: the Lemon Creek Glacier, Juneau Icefield, AK; the Easton Glacier, Mt. Baker, WA; and Bagley Basin, Mt. Baker, WA. This UAV proved capable of mapping the spatial distribution of red snow algae on the surface of the Lemon Creek Glacier using both spectral indices and a random forest supervised classification method. The UAV was able to assess the timing of snowmelt and changes in suncup morphology on snow-covered areas within the Bagley Basin. Finally, the UAV was able to classify glacier surface features using a random forest algorithm with an overall accuracy of 68%. The major advantages of this UAV are its low weight, which allows it to be easily transported into the field, its low cost compared to other alternatives, and its ease of use. One limitation would be the omission of a blue multispectral band, which would have allowed it to more easily classify glacial ice and snow features.
Research on Design and Staged Deployment of LEO Navigation Constellation for MEO Navigation Satellite Failure
Authors: Xue Wen , Hu Min , Ruan Yongjing , Wang Xun , Yu Moyao
Published: October 2024

Low Earth orbit (LEO) satellites have unique advantages in navigation because of their high signal intensity and rapid geometric changes in a short period. In order to solve the problem of constellation performance degradation after a potential failure pertaining one or more medium Earth orbit (MEO) navigation satellites, this paper designs the LEO navigation constellation and considers the task requirements of different stages of constellation deployment. Firstly, the LEO navigation constellation is designed by a non-dominated sorting genetic algorithm II (NSGA-II). The average position dilution of precision (PDOP) is 1.676, which is an improvement compared to the average PDOP offered by the four traditional GNSS. Secondly, the staged deployment of constellation takes into account the degradation of constellation performance caused by the failure of MEO navigation satellites, and the Monte Carlo method is used to analyze the case of three simultaneous satellite failures. The results show that a single satellite failure within each orbital plane and adjacent satellites with close phase separation has a great impact on the performance of the MEO navigation constellation. On this basis, a staged deployment strategy was adopted in order to balance cost, risk, and performance. The three phases deploy 66, 156, and 288 satellites, respectively; as a make-up constellation under contingencies, a navigation enhancement constellation, and an independent navigation constellation, the deployment of the staged sub-constellations meets the mission requirements. The constellation design and staged deployment method proposed in this paper can provide reference for the future study of LEO navigation constellations.
The 3D Density Structure of the South China Sea Based on Wavelet Multi-Scale Analysis of Gravity Data and Its Tectonic Implications
Authors: Xu Chuang , Su Shiquan , Chen Haopeng , Yu Hangtao , Li Jinbo , Zhang Feiyu , Liang Juntao , Lin Xu
Published: October 2024

Due to its unique geographical location and complex geological evolution processes, the South China Sea has been a focus of extensive research. Previous studies on the density structure of the South China Sea mostly focused on 2D density structures, with relatively limited research on 3D density structures. A comprehensive study is still needed to refine the expansion mechanism and tectonic evolution of the South China Sea. In this study, we utilized wavelet multi-scale analysis of gravity data to obtain a 3D density model of the South China Sea and discussed its tectonic evolution from the pattern of density anomalies. The inversion results show that (1) the expansion of the South China Sea caused the typical thin oceanic crust and parts of the continent–ocean transition zone may fracture due to the expansion; (2) the low-density anomaly in the upper mantle of Luzon Island may indicate partial melting or the upwelling of asthenosphere materials; and (3) the expansion of the South China Sea is influenced by multiple plate forces and uneven forces affect the distribution of high-density anomalies in the upper mantle.
Brain Function, Learning, and Role of Feedback in Complete Paralysis
Authors: Silvoni Stefano , Occhigrossi Chiara , Di Giorgi Marco , Lulé Dorothée , Birbaumer Niels
Published: October 2024

The determinants and driving forces of communication abilities in the locked-in state are poorly understood so far. Results from an experimental–clinical study on a completely paralyzed person involved in communication sessions after the implantation of a microelectrode array were retrospectively analyzed. The aim was to focus on the prerequisites and determinants for learning to control a brain–computer interface for communication in paralysis. A comparative examination of the communication results with the current literature was carried out in light of an ideomotor theory of thinking. We speculate that novel skill learning took place and that several aspects of the wording of sentences during the communication sessions reflect preserved cognitive and conscious processing. We also present some speculations on the operant learning procedure used for communication, which argues for the reformulation of the previously postulated hypothesis of the extinction of response planning and goal-directed ideas in the completely locked-in state. We highlight the importance of feedback and reinforcement in the thought–action–consequence associative chain necessary to maintain purposeful communication. Finally, we underline the necessity to consider the psychosocial context of patients and the duration of complete immobilization as determinants of the ‘extinction of thinking’ theory and to identify the actual barriers preventing communication in these patients.
On-Line Measurement of Tracking Poses of Heliostats in Concentrated Solar Power Plants
Authors: Xu Fen , Li Changhao , Sun Feihu
Published: October 2024

The tracking pose of heliostats directly affects the stability and working efficiency of concentrated solar power (CSP) plants. Due to occlusion, over-exposure, and uneven illumination caused by mirror reflection, traditional image processing algorithms showed poor performances on the detection and segmentation of heliostats, which impede vision-based 3D measurement of tracking poses of heliostats. To tackle this issue, object detection using deep learning neural networks are exploited. An improved neural network based on YOLO-v5 framework has been designed to solve the on-line detection problem of heliostats. The model achieves a recognition accuracy of 99.7% for the test set, outperforming traditional methods significantly. Based on segmented results, the corner points of each heliostat are found out using Hough Transform and line intersection methods. The 3D poses of each heliostat are then solved out based on the image coordinates of specific feature points and the camera model. Experimental and field test results demonstrate the feasibility of this hybrid approach, which provides a low-cost solution for the monitoring and measurement of tracking poses of the heliostats in CSP.
Design of an Integrated System for Spaceborne SAR Imaging and Data Transmission
Authors: Wang Qixing , Gao Peng , Xie Zhuochen , Yu Jinpei
Published: October 2024

In response to the conflicting demands between real-time satellite communication and high-resolution synthetic aperture radar (SAR) imaging, we propose a method that aligns the data transmission rate with the imaging data volume. This approach balances SAR performance with the requirements for real-time data transmission. To meet the need for mobile user terminals to access real-time SAR imagery data of their surroundings without depending on large traditional ground data transmission stations, we developed an application system based on filter bank multicarrier offset quadrature amplitude modulation (FBMC-OQAM). To address the interference problem with SAR signals’ transmission and reception, we developed a signal sequence based on spaceborne SAR echo and data transmission and reception. This system enables SAR and data transmission signals to share the same frequency band, radio frequency transmission system, and antenna, creating an integrated sensing and communication system. Simulation experiments showed that, compared to the equal power allocation scheme for subcarriers, the echo image signal-to-noise ratio (SNR) improved by 2.79 dB and the data transmission rate increased by 24.075 Mbps.
Coming Home in the Age of Industry 4.0? The Effects of Offshoring and Backshoring on Manufacturing Companies’ Success
Authors: Werbik Alexander , Nussbaum Julien , Winter Johannes
Published: October 2024

This study explores the effects of offshoring and backshoring on value creation per employee within the manufacturing sector by investigating the difference between firms that did and those that did not engage in corresponding relocation activities. Historically, offshoring has been a strategy to reduce costs and increase efficiency. However, the rise of advanced digital technologies and changing market dynamics have sparked a countertrend toward backshoring. Using data from the European Manufacturing Survey, this research examines how these strategies impact value creation, also taking into account the roles of sales growth and export intensity as potential moderators. The results of hierarchical regression analysis indicate that neither firms that have engaged in offshoring of production nor firms that have engaged in offshoring of R&D have significantly higher or lower value creation per employee than those that did not. In contrast, firms that have engaged in backshoring of production realize higher value creation when coupled with high sales growth. Firms that have engaged in backshoring of R&D, on the other hand, realize higher value creation when combined with high export intensity. These findings highlight the importance of aligning strategic decisions with both technological capabilities and market conditions to enhance productivity. The study suggests that a balanced and holistic approach, integrating both offshoring and backshoring strategies tailored to specific business contexts, can optimize value creation and maintain competitiveness in a rapidly evolving global landscape.
Social Power and Mate Attraction in Short-Term and Long-Term Relationships
Authors: Livingston Tyler N. , Burns Anthony M.
Published: October 2024

Social power can activate behavior toward goal attainment. In the context of romantic and sexual relationships, social power may facilitate competitor derogation tactics and self-promotion tactics to attract a partner. We hypothesized that perceived invulnerability to harm would provide a pathway linking social power to competitor derogation, whereas self-perceived mate value would provide a pathway linking social power to self-promotion. Findings from 218 participants (Mage = 38 years) revealed that experimentally manipulated social power enhanced perceived invulnerability, which in turn was positively associated with competitor derogation. Social power did not affect ratings of self-perceived mate value. Women more strongly endorsed self-promotion in pursuit of a short-term (vs. long-term) relationship, whereas men’s ratings did not vary by relationship goal. Our findings suggested that social power may influence goal-directed thinking and behavior in the context of romantic and sexual relationships.
Research on the Impact of Supply Chain Integration on Supply Chain Resilience in NEV Manufacturing Enterprises
Authors: Zhang Qi , Feng Yu , You Li
Published: October 2024

This paper explores the direct impact of different types of supply chain integration on supply chain resilience in new energy vehicle manufacturing enterprises. It also elucidates the mediating role of supply chain risk management and the moderating role of regulatory uncertainty, proposing nine research hypotheses. Finally, it employs SPSS 26.0 software to analyze the research hypotheses using collected 309 sample data. The research results indicate the following: (1) Internal integration, supplier integration, and customer integration all positively influence supply chain resilience, with supplier integration having the most significant impact. (2) Supply chain risk management mediates the relationship between internal integration, supplier integration, customer integration, and supply chain resilience. (3) Regulatory uncertainty significantly negatively moderates the impact of internal integration and customer integration on supply chain resilience, but it does not significantly negatively moderate the impact of supplier integration on supply chain resilience.
MSCL-Attention: A Multi-Scale Convolutional Long Short-Term Memory (LSTM) Attention Network for Predicting CO2 Emissions from Vehicles
Authors: Xie Yi , Liu Lizhuang , Han Zhenqi , Zhang Jialu
Published: October 2024

The transportation industry is one of the major sources of energy consumption and CO2 emissions, and these emissions have been increasing year by year. Vehicle exhaust emissions have had serious impacts on air quality and global climate change, with CO2 emissions being one of the primary causes of global warming. In order to accurately predict the CO2 emission level of automobiles, an MSCL-Attention model based on a multi-scale convolutional neural network, long short-term memory network and multi-head self-attention mechanism is proposed in this study. By combining multi-scale feature extraction, temporal sequence dependency processing, and the self-attention mechanism, the model enhances the prediction accuracy and robustness. In our experiments, the MSCL-Attention model is benchmarked against the latest state-of-the-art models in the field. The results indicate that the MSCL-Attention model demonstrates superior performance in the task of CO2 emission prediction, surpassing the leading models currently available. This study provides a new method for predicting vehicle exhaust emissions, with significant application prospects, and is expected to contribute to reducing global vehicle emissions, improving air quality, and addressing climate change.
Economics of Water Scarcity and Efficiency
Authors: Barbier Edward B. , Burgess Joanne C.
Published: October 2024

Over the coming decades, global freshwater withdrawals are expected to grow, especially in low- and middle-income countries. Unless there are significant improvements in the efficiency of water use by economies, freshwater stress, crises, and scarcity will worsen. This paper explores further the economic relationship between water use efficiency and scarcity. Because growing scarcity of freshwater in many regions and countries is not adequately reflected in markets, there are often insufficient incentives for investment and innovation to improve the efficiency of water use. To explore further changes in water use efficiency across countries, we conduct a panel analysis of water productivity changes for 130 countries from 1995 to 2020. Countries with lower initial levels of water use efficiency tended to have higher water productivity growth, whereas more agriculturally dependent economies displayed lower improvements in water use efficiency. Better institutional quality and capacity for innovation may also increase water use efficiency. We discuss the implications of these results for improving water use productivity in economies, and in particular, the opportunities and challenges for improving water markets and trades to alleviate water scarcity. We conclude by identifying further areas of research.
Examining the Alignment of Tourism Management Related Curriculum with the United Nations Sustainable Development Goals (SDG’s) in Higher Education Institutions in Ireland
Authors: Maguire Kelly , O’Connor Noelle , Condron Redmond , Archbold Paul , Hannevig Christoffer , Honan David
Published: October 2024

The purpose of this research is to examine current alignment of tourism, hospitality, culinary, events, and sports management curriculum with the United Nations Sustainable Development Goals (SDG’s) across two departments in Higher Education Institutions in Ireland. To do this, a quantitative approach was adopted utilising a content analysis of programme learning outcomes and surveys with programme specific educators. This permitted an evaluation on the current status of incorporation of SDG’s within existing curricula and an insight into the motivations and challenges of Education for Sustainable Development (ESD) integration from the perspective of educators. Findings revealed weak levels of current alignment of learning outcomes to SDG’s for tourism, hospitality, culinary, events, and sports management curriculum across two sampled departments while educators emphasised a need to upskill on the subject matter in an effort to ensure more comprehensive ESD integration across modules and programmes. The Results overall highlighted the need to ensure future curriculum review and development takes appropriate cognisance of ESD and through communities of Practice within Higher Education Institutions, educators can better embed and advance ESD within third level curricula. The findings presented in this study may have lessons to be learned for other Higher Education Institutions across Ireland and internationally.
Return to Sport after Pediatric Osteochondral Lesions: A Systematic Review
Authors: Anaspure Omkar S. , Patel Shiv , Baumann Anthony N. , Lininger Jake , Anastasio Albert T.
Published: October 2024

Background: Evidence on return to sport (RTS) criteria and timelines for pediatric patients with osteochondral (OCD) lesions of the foot and ankle is limited. Methods: This systematic review evaluated RTS criteria and outcomes in this population by querying PubMed, Embase, Web of Science, CINAHL, and SPORTDiscus up to 30 May 2024. Inclusion criteria were retrospective or prospective studies that examined pediatric patients with osteochondral lesions of the foot and ankle and gave outcomes or criteria regarding RTS. Results: Five observational studies (n = 168 patients; n = 180 OCD lesions; mean age: 14.19 ± 0.47 years; mean follow-up: 42 ± 174 months) were included. Two studies (40%) used time-based criteria for RTS, two studies (40%) used mixed criteria, and the final study (20%) used milestone-based criteria. Across the mixed and milestone criteria, physical therapy (n = 3) and minimal partial weight-bearing prior to RTS (n = 4) were most frequently seen as the milestones used for assessing RTS readiness. RTS from the postoperative period ranged from 3 months to 6 months. At the final follow-up, 61.45% of patients (n = 110) were available to provide information regarding their ability to RTS. Of these patients, 80% (n = 88) achieved RTS. Conclusions: Results showed variability in RTS criteria, ranging from three to six months, with no clear patterns. Most patients returned to sport, suggesting that such individualized criteria may be effective to an extent. Future research should focus on larger, high-quality studies to develop consistent RTS protocols.
Thoracic Extradural Psammomatous Meningioma on T6–T8: A Case Report and Literature Review
Authors: Albavera-Gutiérrez Roberto Renan , Espíndola-Rodríguez Arturo , Castro-Fuentes Carlos Alberto , Martínez Ana Karen Aguayo , Valencia-Ledezma Omar Esteban , Salgado-Camacho Juan Manuel , Mendoza Luis Bernal , Nava Ernesto Nuñez
Published: October 2024

Tumors of the spine are rare, with an incidence of 1.0 and 1.5 per 100,000 individuals. A 44-year-old female patient underwent emergency surgery for posterior decompression and tumor resection. A 3-level laminectomy was performed from T6 to T8 using the Medtronic Midas Rex drill and a 5 mm diamond drill, with microsurgical resection of the lesion. A new resection was performed one week later to address a residual tumor located towards the rostral and cephalic levels. A sample of the extradural lesion was obtained and was sent to the Pathology Department of the Hospital Regional de Alta Especialidad de Ixtapaluca (HRAEI) for histopathological diagnosis, reporting Grade 1 psammomatous meningioma according to the WHO’s criteria. Our patient’s rehabilitation treatment consisted of two parts. The first part occurred during her hospital stay, before and after surgery, and upon her discharge. At the first outpatient consultation three weeks after surgery, the patient showed improved strength in the lower extremities, scoring 4/5 on the Daniel’s scale muscle strength test. After one year of follow-up, our patient has recovered muscle strength. This allows her to move freely, scoring 5/5 on the Daniel’s scale muscle strength test.
A Novel Reinforcement Learning-Based Particle Swarm Optimization Algorithm for Better Symmetry between Convergence Speed and Diversity
Authors: Zhang Fan , Chen Zhongsheng
Published: October 2024

This paper introduces a novel Particle Swarm Optimization (RLPSO) algorithm based on reinforcement learning, embodying a fundamental symmetry between global and local search processes. This symmetry aims at addressing the trade-off issue between convergence speed and diversity in traditional algorithms. Traditional Particle Swarm Optimization (PSO) algorithms often struggle to maintain good convergence speed and particle diversity when solving multi-modal function problems. To tackle this challenge, we propose a new algorithm that incorporates the principles of reinforcement learning, enabling particles to intelligently learn and adjust their behavior for better convergence speed and richer exploration of the search space. This algorithm guides particle learning behavior through online updating of a Q-table, allowing particles to selectively learn effective information from other particles and dynamically adjust their strategies during the learning process, thus finding a better balance between convergence speed and diversity. The results demonstrate the superior performance of this algorithm on 16 benchmark functions of the CEC2005 test suite compared to three other algorithms. The RLPSO algorithm can find all global optimum solutions within a certain error range on all 16 benchmark functions, exhibiting outstanding performance and better robustness. Additionally, the algorithm’s performance was tested on 13 benchmark functions from CEC2017, where it outperformed six other algorithms by achieving the minimum value on 11 benchmark functions. Overall, the RLPSO algorithm shows significant improvements and advantages over traditional PSO algorithms in aspects such as local search strategy, parameter adaptive adjustment, convergence speed, and multi-modal problem handling, resulting in better performance and robustness in solving optimization problems. This study provides new insights and methods for the further development of Particle Swarm Optimization algorithms.
Granular Weighted Fuzzy Approach Applied to Short-Term Load Demand Forecasting
Authors: Züge Cesar Vinicius , Coelho Leandro dos Santos
Published: October 2024

The development of accurate models to forecast load demand across different time horizons is challenging due to demand patterns and endogenous variables that affect short-term and long-term demand. This paper presents two contributions. First, it addresses the problem of the accuracy of the probabilistic forecasting model for short-term time series where endogenous variables interfere by emphasizing a low computational cost and efficient approach such as Granular Weighted Multivariate Fuzzy Time Series (GranularWMFTS) based on the fuzzy information granules method and a univariate form named Probabilistic Fuzzy Time Series. Secondly, it compares time series forecasting models based on algorithms such as Holt-Winters, Auto-Regressive Integrated Moving Average, High Order Fuzzy Time Series, Weighted High Order Fuzzy Time Series, and Multivariate Fuzzy Time Series (MVFTS) where this paper is based on Root Mean Squared Error, Symmetric Mean Absolute Percentage Error, and Theil’s U Statistic criteria relying on 5% error criteria. Finally, it presents the concept and nuances of the forecasting approaches evaluated, highlighting the differences between fuzzy algorithms in terms of fuzzy logical relationship, fuzzy logical relationship group, and fuzzification in the training phase. Overall, the GranularWMVFTS and weighted MVFTS outperformed other evaluated forecasting approaches regarding the performance criteria adopted with a low computational cost.
FPGA Implementation of Sliding Mode Control and Proportional-Integral-Derivative Controllers for a DC–DC Buck Converter
Authors: Huerta-Moro Sandra , Tavizón-Aldama Jonathan Daniel , Tlelo-Cuautle Esteban
Published: October 2024

DC–DC buck converters have been designed by incorporating different control stages to drive the switches. Among the most commonly used controllers, the sliding mode control (SMC) and proportional-integral-derivative (PID) controller have shown advantages in accomplishing fast slew rate, reducing settling time and mitigating overshoot. The proposed work introduces the implementation of both SMC and PID controllers by using the field-programmable gate array (FPGA) device. The FPGA is chosen to exploit its main advantage for fast verification and prototyping of the controllers. In this manner, a DC–DC buck converter is emulated on an FPGA by applying an explicit multi-step numerical method. The SMC controller is synthesized into the FPGA by using a signum function, and the PID is synthesized by applying the difference quotient method to approximate the derivative action, and the second-order Adams–Bashforth method to approximate the integral action. The FPGA synthesis of the converter and controllers is performed by designing digital blocks using computer arithmetic of 32 and 64 bits, in fixed-point format. The experimental results are shown on an oscilloscope by using a digital-to-analog converter to observe the voltage regulation generated by the SMC and PID controllers on the DC–DC buck converter.
A Survey on User Profiling, Data Collection, and Privacy Issues of Internet Services
Authors: Maraj Dardan , Vuković Marin , Hotovec Petar
Published: October 2024

Users are usually required to share several types of data, including their personal data, as different providers strive to offer high-quality services that are often tailored to end-users’ preferences. However, when it comes to personalizing services, there are several challenges for meeting user’s needs and preferences. For content personalization and delivery of services to end users, services typically create user profiles. When user profiles are created, user data is collected and organized to meet the personalization requirements of the services. In this paper, we provide an overview of current research activities that focus on user profiling and ways to protect user data privacy. The paper presents different types of data that services collect from users on examples of commonly used Internet services. It proposes data categorization as a prerequisite for controlled data sharing between users and Internet services. Furthermore, it discusses how data generalization can be used for anonymization purposes on examples of the proposed data categories. Finally, it gives an overview of the privacy framework being developed and gives guidelines for future work focusing on data generalization methods in order to reduce user privacy risks.
High-Resolution Magic-Angle Spinning Nuclear Magnetic Resonance Identifies Impairment of Metabolism by T-2 Toxin, in Relation to Toxicity, in Zebrafish Embryo Model
Authors: Lawson Ariel , Annunziato Mark , Bashirova Narmin , Eeza Muhamed N. Hashem , Matysik Jörg , Alia A. , Berry John. P.
Published: October 2024

Among the widespread trichothecene mycotoxins, T-2 toxin is considered the most toxic congener. In the present study, we utilized high-resolution magic-angle spinning nuclear magnetic resonance (HRMAS NMR), coupled to the zebrafish (Danio rerio) embryo model, as a toxicometabolomics approach to elucidate the cellular, molecular and biochemical pathways associated with T-2 toxicity. Aligned with previous studies in the zebrafish embryo model, exposure to T-2 toxin was lethal in the high parts-per-billion (ppb) range, with a median lethal concentration (LC50) of 105 ppb. Exposure to the toxins was, furthermore, associated with system-specific alterations in the production of reactive oxygen species (ROS), including decreased ROS production in the liver and increased ROS in the brain region, in the exposed embryos. Moreover, metabolic profiling based on HRMAS NMR revealed the modulation of numerous, interrelated metabolites, specifically including those associated with (1) phase I and II detoxification, and antioxidant pathways; (2) disruption of the phosphocholine lipids of cell membranes; (3) mitochondrial energy metabolism, including apparent disruption of the tricarboxylic acid (TCA) cycle, and the electron transport chain of oxidative phosphorylation, as well as “upstream” effects on carbohydrate, i.e., glucose metabolism; and (4) several compensatory catabolic pathways. Taken together, these observations enabled development of an integrated, system-level model of T-2 toxicity in relation to human and animal health.
The Management of Hematopoietic Stem Cell Transplant in People with HIV
Authors: Dickter Jana K. , Willeford Courtney Moc
Published: October 2024

Hematopoietic stem cell transplant (HSCT) is now recognized as a standard treatment option for people with HIV (PWH) who develop high-risk hematologic malignancies. However, the involved polypharmacy can lead to complications from drug interactions and toxicities, affecting the efficacy and safety of chemotherapy and antiretroviral therapy (ART). Managing these patients requires a personalized approach, including the careful selection of ART based on previous therapies and potential interactions, alongside risk assessment for infections. This discussion will address the history of HSCT in PWH and management considerations for this group.
The First Pseudomonas Phage vB_PseuGesM_254 Active against Proteolytic Pseudomonas gessardii Strains
Authors: Morozova Vera , Babkin Igor , Mogileva Alina , Kozlova Yuliya , Tikunov Artem , Bardasheva Alevtina , Fedorets Valeria , Zhirakovskaya Elena , Ushakova Tatiana , Tikunova Nina
Published: October 2024

Bacteria of the Pseudomonas genus, including the Pseudomonas gessardii subgroup, play an important role in the environmental microbial communities. Psychrotolerant isolates of P. gessardii can produce thermostable proteases and lipases. When contaminating refrigerated raw milk, these bacteria spoil it by producing enzymes resistant to pasteurization. One possible way to prevent spoilage of raw milk is to use Pseudomonas lytic phages specific to undesirable P. gessardii isolates. The first phage, Pseudomonas vB_PseuGesM_254, was isolated and characterized, which is active against several proteolytic P. gessardii strains. This lytic myophage can infect and lyse its host strain at 24 °C and at low temperature (8 °C); so, it has the potential to prevent contamination of raw milk. The vB_PseuGesM_254 genome, 95,072 bp, shows a low level of intergenomic similarity with the genomes of known phages. Comparative proteomic ViPTree analysis indicated that vB_PseuGesM_254 is associated with a large group of Pseudomonas phages that are members of the Skurskavirinae and Gorskivirinae subfamilies and the Nankokuvirus genus. The alignment constructed using ViPTree shows that the vB_PseuGesM_254 genome has a large inversion between ~53,100 and ~70,700 bp, which is possibly a distinctive feature of a new taxonomic unit within this large group of Pseudomonas phages.
Novel Mouse Model of Recurrent Sublethal Herpes Simplex Virus Infection Recapitulates Human Antibody Responses to Primary and Chronic Infection
Authors: Mahant Aakash Mahant , Gualdron Tania Jaimes , Herold Betsy C.
Published: October 2024

Background: Herpes simplex virus (HSV) vaccine development has been impeded by the absence of predictive preclinical models and defined correlates of immune protection. Prior candidates elicited neutralizing responses greater than natural infection but no antibody-dependent cellular cytotoxicity (ADCC) and failed to protect in clinical trials. Primary HSV infection also elicits only neutralizing responses, but ADCC and an expanded antigenic repertoire emerge over time. This evolution may contribute to the decreased frequency and severity of recurrences. To test this notion, we developed a recurrent HSV infection mouse model and evaluated changes in humoral immunity with repeated challenges. Methods: Mice were repeatedly infected intranasally with clinical isolates of HSV-1 or HSV-2 for four months. HSV binding IgG, neutralizing (with or without complement) and ADCC-mediating antibodies were quantified prior to each round of infection. Viral targets were assessed by western blotting. Pooled immune serum (750 μg IgG per mouse) was passively transferred into naïve wild-type or Hvem knockout mice 24 h prior to lethal skin challenge. Results: Repeated exposure to HSV-1 or HSV-2 induced an increase in total HSV-binding IgG but did not boost neutralizing titers. In contrast, ADCC-mediating responses increased significantly from the first to the fourth viral exposure (p < 0.01). The increase was associated with an expanded antigenic repertoire. Passive transfer of fourth round immune serum provided significant protection whereas first round serum failed to protect (p < 0.01). However, protection was lost when serum was transferred into Hvem knockout mice, which are impaired in mediating ADCC killing. Conclusion: This novel model recapitulates clinical responses, highlights the importance of ADCC in protecting against recurrent infection, and provides a strategy for evaluating therapeutic vaccines.