bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating the Impact of 3D Printing Parameters on Hexagonal Structured PLA+ Samples and Analyzing the Incorporation of Sawdust and Soybean Oil as Post-Print Fillers
Authors: Ramisetty Yeswanth Teja , Schuster Jens , Shaik Yousuf Pasha
Published: September 2024

Today, around the world, there is huge demand for natural materials that are biodegradable and possess suitable properties. Natural fibers reveal distinct aspects like the combination of good mechanical and thermal properties that allow these types of materials to be used for different applications. However, fibers alone cannot meet the required expectations; design modifications and a wide variety of combinations must be synthesized and evaluated. It is of great importance to research and develop materials that are bio-degradable and widely available. The combination of PLA+, a bio-based polymer, with natural fillers like sawdust and soybean oil offers a novel way to create sustainable composites. It reduces the reliance on petrochemical-based plastics while enhancing the material’s properties using renewable resources. This study explores the creation of continuous hexagonal-shaped 3D-printed PLA+ samples and the application of post-print fillers, specifically sawdust and soybean oil. PLA+ is recognized for its eco-friendliness and low carbon footprint, and incorporating a hexagonal pattern into the 3D-printed PLA+ enhances its structural strength while maintaining its density. The addition of fillers is crucial for reducing shrinkage and improving binding capabilities, addressing some of PLA+’s inherent challenges and enhancing its load-bearing capacity and performance at elevated temperatures. Additionally, this study examines the impact of varying filler percentages and pattern orientations on the mechanical properties of the samples, which were printed with an infill design.
Capacity Optimization for RSMA-Based Multi-User System over Underwater Turbulence Channel
Authors: Wang Jianying , Yin Hongxi
Published: September 2024

The underwater environment used for communication is harsh and complex, necessitating heightened standards for spectral efficiency and reliability in underwater wireless optical communication (UWOC) systems. The focus of this work is on the performance of multi-user UWOC systems operating in oblique channels of ocean turbulence downlink, where users are randomly distributed at a certain depth. A joint optimization scheme is proposed, which joints rate-splitting multiple access (RSMA) and power allocation so that the system’s ergodic sum capacity is optimized to improve the transmission bandwidth. Furthermore, the probability density function (PDF) and cumulative distribution function (CDF) models for the received signal-to-noise ratio (SNR) of a multi-user multiple-input multiple-output (MIMO) system operating in the turbulent underwater oblique channels are established, accounting for the avalanche photodiode (APD) shot noise and solar radiation noise. Theoretical derivations are presented to quantify the ergodic capacity and outage probability of the multi-user system utilizing the RSMA technology. Subsequently, a numerical analysis is conducted to investigate the influence of the power allocation coefficient, RSMA, and the joint optimization algorithm on the performance of a two-user MIMO system leveraging RSMA. The simulation results show that our optimization scheme effectively reduces the outage probability, thereby achieving the maximum system sum rate and validating the practical feasibility and efficacy of the proposed scheme.
Advanced Human Reliability Analysis Approach for Ship Convoy Operations via a Model of IDAC and DBN: A Case from Ice-Covered Waters
Authors: Xi Yongtao , Zhang Xiang , Han Bing , Zhu Yu , Fan Cunlong , Kim Eunwoo
Published: September 2024

The melting of Arctic ice has facilitated the successful navigation of merchant ships through the Arctic route, often requiring icebreakers for assistance. To reduce the risk of accidents between merchant vessels and icebreakers stemming from human errors during operations, this paper introduces an enhanced human reliability assessment approach. This method utilizes the Dynamic Bayesian Network (DBN) model, integrated with the information, decision, and action in crew context (IDAC) framework. First, a qualitative analysis of crew maneuvering behavior in scenarios involving a collision with the preceding vessel during icebreaker assistance is conducted using the IDAC model. Second, the D–S evidence theory and cloud models are integrated to process multi-source subjective data. Finally, the human error probability of crew members is quantified using the DBN. The research results indicate that during convoy operations, the maximum probability that the officer on watch (OOW) chooses an incorrect deceleration strategy is 8.259×10−2 and the collision probability is 4.129×10−3. Furthermore, this study also found that the factors of Team Effectiveness and Knowledge/Abilities during convoy operations have the greatest impact on collision occurrence. This research provides important guidance and recommendations for the safe navigation of merchant ships in the Arctic waters. By reducing human errors and adopting appropriate preventive measures, the risk of collisions between merchant ships and icebreakers can be significantly decreased.
How Reproducible Is Feraheme® (Ferumoxytol Injection)? Comparison of Size, Zeta Potential, and Complement Activation of Different Batches over 15 Years
Authors: Ettah Utibeabasi , Jacques Sarah , Simberg Dmitri
Published: September 2024

Ferumoxytol injection, also known as Feraheme®, is an approved IV injectable iron supplement and an experimental MRI contrast agent. Initially, it was approved as an IV bolus agent, but its use was later limited to a slow infusion drip due to high levels of infusion reactions. We collected various batches of ferumoxytol with expiration dates ranging from 2010 to 2025 and compared their size and zeta potential. Since nanoparticle surface properties can affect infusion reactions, we conducted a dot blot immunoassay to measure complement C3 opsonization with ferumoxytol preparations. We observed differences in nanoparticle size and zeta potential between batches and a 2.5-fold variation in complement activation. Interestingly, older batches from 2010 showed more uniform size distribution and lower complement activation than some of the newer batches. This finding may be valuable to the nanomedicine community and regulatory authorities.
The Dilemma for Early-Stage Conjunctival Mucosa-Associated Lymphoid Tissue Lymphoma: To Treat or Not to Treat?
Authors: Yang Chi-Chun , Tsai Chieh-Chih
Published: September 2024

Background: Primary ocular adnexal mucosa-associated lymphoid tissue lymphoma (MALToma) is typically treated with radiotherapy. Some studies suggested a “wait and watch” approach due to the adverse effects of radiotherapy. However, the benefits of observation for localized conjunctival MALToma remain unclear. Therefore, we aimed to explore the clinical course of early-stage conjunctival MALToma, distinguish heterogeneity between T1 and T2 patients, and identify prognostic factors. Methods: This retrospective study involved patients with stage T1–T2 conjunctival MALToma and lasted >6 months. Clinical characteristics were compared between T1 and T2 subjects. Prognostic factors were examined with Cox regression. Results: The research comprised 32 subjects with early-stage conjunctival MALToma, of whom 25% underwent observation. No individuals expired regardless of choosing observation or radiotherapy. The T1 patients were younger (p = 0.002) and more inclined towards observation only (p = 0.035) than the T2 subjects. Despite more of the T1 patients undergoing watchful waiting than the T2 subjects, the T1 patients seemed to have longer systemic relapse-free survival than the T2 subjects (17 vs. 13 years, p = 0.343). CD43 may imply poor prognosis (p = 0.049). Conclusions: Careful observation may be suggested for early-stage conjunctival MALToma. While more of the T1 individuals were younger and chose observation than the T2 patients, survival seemed longer in the T1 subjects without significance. CD43 may indicate shorter survival in early-stage cases.
De Quervain Tendinopathy: Anatomical Prognostic Indicators of Corticosteroid Injection Success
Authors: Kitridis Dimitrios , Perdikakis Evangelos , Potoupnis Michael , Pavlidis Leonidas , Karagergou Eleni , Givissis Panagiotis
Published: September 2024

Background: Anatomical variations of the first extensor compartment can affect de Quervain tendinopathy outcomes. Our study aimed to identify the anatomical prognostic indicators of symptom recurrence following a corticosteroid (CS) injection and to assess the efficacy of CS injections. Methods: Fifty consecutive patients received a single CS injection for de Quervain tendinopathy. Ultrasound imaging was used to assess anatomical factors of the first extensor tendon compartment of the wrist. The primary outcome was recurrence after six weeks and six months and the identification of the anatomical prognostic indicators of the recurrence. The Disabilities of the Arm, Shoulder, and Hand (DASH) score and the Visual Analogue Scale (VAS) for pain were evaluated as secondary outcomes. Results: Fifteen patients (30%) experienced symptom recurrence within six weeks. The intracompartmental septum and the number of tendon slips were associated with higher recurrence rates (adjusted odds ratio for the septum: 18.39, p = 0.045; adjusted odds ratio for each additional tendon slip: 24.68, p < 0.01). The mean DASH score improved from 74.1 ± 5 to 19.3 ± 25.3, and the mean VAS for pain from 8.5 ± 0.8 to 2 ± 2.7 (p < 0.01 for both scores). Five patients experienced minor adverse events with spontaneous improvement. Conclusions: CS injections are a viable treatment for de Quervain tendinopathy. Anatomical variations can predict treatment success. Counseling patients based on these factors can help guide treatment decisions, including surgical options.
Systematic Review and Clinical Insights: The Role of the Ketogenic Diet in Managing Glioblastoma in Cancer Neuroscience
Authors: Valerio Jose , Borro Matteo , Proietti Elisa , Pisciotta Livia , Olarinde Immanuel O. , Fernandez Gomez Maria , Alvarez Pinzon Andres Mauricio
Published: September 2024

Recent scientific research has shown that the ketogenic diet may have potential benefits in a variety of medical fields, which has led to the diet receiving a substantial amount of attention. Clinical and experimental research on brain tumors has shown that the ketogenic diet has a satisfactory safety profile. This safety profile has been established in a variety of applications, including the management of obesity and the treatment of drug-resistant epileptic cases. However, in human studies, the impact of ketogenic therapy on the growth of tumors and the life expectancy of patients has not provided results that are well characterized. Consequently, our purpose is to improve the comprehension of these features by succinctly presenting the developments and conclusions that have been gained from the most recent study that pertains to this non-pharmacological technique. According to the findings of our study, patients with brain tumors who stick to a ketogenic diet are more likely to experience improved survival rates. However, it is required to conduct additional research on humans in order to more accurately define the anti-tumor efficiency of this diet as well as the underlying processes that support the therapeutic effects of this dieting regimen.
Automated Breast Ultrasound for Evaluating Response to Neoadjuvant Therapy: A Comparison with Magnetic Resonance Imaging
Authors: Telegrafo Michele , Stucci Stefania Luigia , Gurrado Angela , Catacchio Claudia , Cofone Federico , Maruccia Michele , Stabile Ianora Amato Antonio , Moschetta Marco
Published: September 2024

Background: Neoadjuvant chemotherapy (NAC) is currently used for treating breast cancer in selected cases. Our study aims to evaluate the role of automated breast ultrasound (ABUS) in the assessment of response to NAC and compare the ABUS results with MRI. Methods: A total of 52 consecutive patients were included in this study. ABUS and MRI sensitivity (SE), specificity (SP), diagnostic accuracy (DA), positive predictive value (PPV), and negative predictive value (NPV) were calculated and represented using Area Under ROC Curve (ROC) analysis, searching for any significant difference (p < 0.05). The McNemar test was used searching for any significant difference in terms of sensitivity by comparing the ABUS and MRI results. The inter-observer agreement between the readers in evaluating the response to NAC for both MRI and ABUS was calculated using Cohen’s kappa k coefficient. Results: A total of 35 cases of complete response and 17 cases of persistent disease were found. MRI showed SE, SP, DA, PPV, and NPV values of 100%, 88%, 92%, 81%, and 100%, respectively, with an AUC value of 0.943 (p < 0.0001). ABUS showed SE, SP, DA, PPV, and NPV values of 88%, 94%, 92%, 89%, and 94%, respectively, with an AUC of 0.913 (p < 0.0001). The McNemar test revealed no significant difference (p = 0.1250). The inter-observer agreement between the two readers in evaluating the response to NAC for MRI and ABUS was, respectively, 0.88 and 0.89. Conclusions: Automatic breast ultrasound represents a new accurate, tri-dimensional and operator-independent tool for evaluating patients referred to NAC.
Treatment Classification by Intent in Oncology—The Need for Meaningful Definitions: Curative, Palliative and Potentially Life-Prolonging
Authors: Fekete Zsolt , Fekete Andrea , Kacsó Gabriel
Published: September 2024

Background: Realistic cancer treatment goals should be used by health care professionals and communicated to patients, families, and the public. The current nomenclature on this subject is outdated and has not been changed since the advent of modern oncology in the middle of the 20th century. Methods: Based on the literature we propose a three-tier system composed of curative, palliative, and potentially life-prolonging (PLP) therapies, instead of the current two-tier system of only curative and palliative treatment. Results: The new system introduces the notion of prolonged survival. Furthermore, the negative connotation linked to palliative care is also eliminated in this setting. Conclusion: The current terminology used to describe cancer treatment goals has not been updated since the mid-20th century and it is time for a more modern approach. We propose a three-tier system: (1) curative treatment, (2) palliative care, and (3) potentially life-prolonging therapy.
Timing of Loop Ileostomy Closure Does Not Play a Pivotal Role in Terms of Complications—Results of the Liquidation of iLEOstomy (LILEO) Study
Authors: Kisielewski Michał , Pisarska-Adamczyk Magdalena , Dowgiałło-Gornowicz Natalia , Nawacki Łukasz , Serednicki Wojciech , Wierdak Mateusz , Wilczek Jerzy , Safiejko Kamil , Juchimiuk Marcin , Domurat Marian , Pierko Jacek , Mucha Mateusz , Fiedorowicz Wojciech , Wysocki Michał , Ladziński Maurycy , Zdrojewski Michał , Sachańbiński Tomasz , Wojewoda Tomasz , Chochla Victoria , Tkaczyński Karol , Jankowski Michał , Wysocki Wojciech M. ,   LILEO Study Group
Published: September 2024

Loop ileostomy is commonly performed by colorectal and general surgeons to protect newly created large bowel anastomoses. The optimal timing for ileostomy closure remains debatable. Defining the timing associated with the best postoperative outcomes can significantly improve the clinical results for patients undergoing ileostomy closure. The LILEO study was a prospective multicenter cohort study conducted in Poland from October 2022 to December 2023. Full data analysis involved 159 patients from 19 surgical centers. Patients were categorized based on the timing of ileostomy reversal: early (<4 months), standard (4–6 months), and delayed (>6 months). Data on demographics, clinical characteristics, and perioperative outcomes were analyzed for each group separately and compared. No significant differences were observed in length of hospital stay (p = 0.22), overall postoperative complications (p = 0.43), or 30-day reoperation rates (p = 0.28) across the three groups. Additional analysis of Clavien–Dindo complication grades was performed and did not show significant differences in complication severity (p = 0.95), indicating that the timing of ileostomy closure does not significantly impact perioperative complications or hospital stay. Decisions on ileostomy reversal timing should be personalized and should consider individual clinical factors, including the type of adjuvant oncological treatment and the preventive measures performed for common postoperative complications.
Identification of Osteosarcopenia by High-Resolution Peripheral Quantitative Computed Tomography
Authors: Cheng Keith Yu-Kin , Chow Simon Kwoon-Ho , Hung Vivian Wing-Yin , Tsang Zoey Tsz-Lok , Yip Benjamin Hon-Kei , Wong Ronald Man Yeung , Zhang Ning , Qin Ling , Law Sheung-Wai , Cheung Wing-Hoi
Published: September 2024

Osteosarcopenia is a prevalent geriatric disease with a significantly increased risk of adverse outcomes than osteoporosis or sarcopenia alone. Identification of older adults with osteosarcopenia using High-Resolution Peripheral Quantitative Computed Tomography (HR-pQCT) could allow better clinical decision making. This study aimed to explore the feasibility of HR-pQCT to differentiate osteoporosis, sarcopenia, and osteosarcopenia in older adults, with a primary outcome to derive a model to distinguish older adults with osteosarcopenia from those with low bone mineral density only, and to examine important HR-pQCT parameters associated with osteosarcopenia. This was a cross-sectional study involving 628 community-dwelling Chinese adults aged ≥ 40. Subjects were assessed by dual energy X-ray absorptiometry (DXA) for osteopenia/osteoporosis and sarcopenia using the Asian Working Group for Sarcopenia definition; then grouped into healthy, osteopenia/osteoporosis, sarcopenia, and osteosarcopenia groups. A series of regression analyses and other statistical tests were performed to derive the model. HR-pQCT showed the ability to discriminate older adults with osteosarcopenia from those with osteopenia/osteoporosis only. Cross-validation of our derived model correctly classified 77.0% of the cases with good diagnostic power and showed a sensitivity of 76.0% and specificity of 77.6% (Youden index = 0.54; AUC = 0.79, p < 0.001). Analysis showed trabecular volumetric bone density and cortical periosteal perimeter were important and sensitive parameters in discriminating osteosarcopenia from osteopenia/osteoporosis subjects. These findings demonstrated that HR-pQCT is a viable and effective screening method for differentiating osteosarcopenia from low bone mineral density alone without the need to carry out multiple assessments for osteosarcopenia, especially for case-finding purposes. This could facilitate the decision of a follow-up and the management of these frail older adults to ensure they receive timely therapeutic interventions to minimise the associated risks.
Determinants of Disease Progression in Autosomal Dominant Polycystic Kidney Disease
Authors: Kebede Molla Asnake , Mengistu Yewondwosen Tadesse , Loge Biruk Yacob , Eshetu Misikr Alemu , Shash Erkihun Pawlos , Wirtu Amenu Tolera , Gemechu Jickssa Mulissa
Published: September 2024

Background: Despite its severity, there has been a lack of adequate study on autosomal dominant polycystic kidney disease (ADPKD) in Ethiopia. This study assessed the clinical profile and determinant factors contributing to renal disease progression. Methods: A retrospective study was conducted on 114 patients for 6 years in Addis Ababa. Patients with ADPKD who had follow-up visits at two health centers were included. Results: The mean age at diagnosis was 42.7 ± 12.7 years, with 43% reporting a positive family history of ADPKD. Approximately 22 patients (20%) developed end-stage renal disease, and 12 patients died. The mean estimated glomerular filtration rate at the initial visit was 72.4 mL/min/1.73 m2. The key risk factors associated with disease progression included younger age at diagnosis [adjusted Odds Ratio (aOR): 0.92, 95% CI: 0.87–0.98; p = 0.007], male gender (aOR: 4.5, 95% CI: 1.3–15.95, p = 0.017), higher baseline systolic blood pressure (aOR: 1.05, 95% CI: 1.01–1.10, p = 0.026), and the presence of comorbidities (aOR: 3.95, 95% CI: 1.10–14.33, p = 0.037). The progression of renal disease in ADPKD patients significantly correlates with age at diagnosis, gender, presence of comorbidities, and higher baseline systolic blood pressure. Conclusions: These findings underscore the importance of early detection and management of hypertension and comorbidities in ADPKD patients to mitigate disease progression and improve treatment outcomes.
Effectiveness of Electrical Stimulation Combined with Pelvic Floor Muscle Training on Female Sexual Dysfunction with Overactive Bladder: A Randomized Controlled Clinical Trial
Authors: Piao JunJie , Shin Dongho , Moon MyeongKeon , Kim SaeWoong , Bae WoongJin
Published: September 2024

(1) Background: Female sexual dysfunction (FSD) and overactive bladder (OAB) are prevalent disorders that significantly impair women’s quality of life. While pelvic floor muscle training (PFMT) is a well-established treatment for OAB, its effectiveness for FSD remains uncertain. Recent studies suggest that intravaginal electrical stimulation (IVES) may enhance the effects of PFMT. Therefore, this study aimed to evaluate the efficacy of combining IVES with PFMT to improve sexual function and bladder control in women with OAB and FSD. (2) Methods: A total of 40 women with FSD and OAB as determined by the Female Sexual Function Index (FSFI) and Overactive Bladder Symptom Score (OABSS) were randomized into two groups: group 1, the intravaginal electrical stimulation group (IVESG) (n = 20), and group 2, the placebo control group (CG) (n = 20). Patients in both groups received PFMT during the trial, and the IVESG underwent 10 weeks of electrical stimulation. The primary outcome was the change in the FSFI score from baseline to week 4 and week 10. The secondary outcome was a comparison of the OABSS values at week 4 and week 10 of the trial. (3) Results: After treatment, the IVESG scores for the total FSFI, sexual arousal and orgasm, increased significantly (p < 0.05). After 10 weeks of treatment, the OABSS values for IVESG were significantly lower (p < 0.01). After 10 weeks of treatment, the percentage of patients with mild OAB in the IVESG and CG increased by 53.33% and 60%, respectively, while the percentage of patients with both moderate and severe OAB decreased, especially in the IVESG, where patients with severe OAB were non-existent after 10 weeks of treatment. (4) Conclusions: IVES combined with PFMT improved objective and subjective measures of FSD and OAB. There was a significant improvement in FSD (including arousal and orgasmic domain scores). This study concludes that IVES is an effective conservative treatment.
Patterns in the Chaos: The Moving Hurst Indicator and Its Role in Indian Market Volatility
Authors: Shah Param , Raje Ankush , Shah Jigarkumar
Published: September 2024

Estimating the impact of volatility in financial markets is challenging due to complex dynamics, including random fluctuations involving white noise and trend components involving brown noise. In this study, we explore the potential of leveraging the chaotic properties of time series data for improved accuracy. Specifically, we introduce a novel trading strategy based on a technical indicator, Moving Hurst (MH). MH utilizes the Hurst exponent which characterizes the chaotic properties of time series. We hypothesize and then prove empirically that MH outperforms traditional indicators like Moving Averages (MA) in analyzing Indian equity indices and capturing profitable trading opportunities while mitigating the impact of volatility.
The Impact of Chinese Public Environmental Awareness on Environmental Behavior: An Analysis Based on China National Surveys in 2003, 2010 and 2021
Authors: Zhang Jinrong , Xue Caixia , Hou Guangjian
Published: September 2024

Environmental awareness and behavior play a crucial role in the improvement of the environment. Five dimensions of environmental awareness are considered here including environmental values, environmental knowledge, environmental responsibility, environmental ability and environmental concern while we also distinguish between private and public environmental behaviors. Based on data from the China General Social Survey (CGSS) in 2003, 2010 and 2021, this research investigated changes in Chinese residents’ environmental awareness and environmental behavior and the relationship between them. The relevant empirical methods were the MV-Probit model, the Poisson model and a mediating effect model. The results are as follows: (1) From 2003 to 2021, environmental awareness of the public has improved significantly. Among them, environmental values, environmental knowledge and environmental concern have increased by 24.5%, 12.6% and 12.77%, respectively, while environmental capacity has decreased by 7.27% from 2010 to 2021. The eastern region of China has the highest score of environmental awareness, while the western region has the lowest one. (2) From 2003 to 2021, the public’s green consumption behavior changed from more than half of the public never consuming green products in 2003 to nearly 75% always or often consuming green products in 2021. Increases in recycling were also found over time. However, the participation rate in public environmental behavior declined. In 2021, environmental behaviors were lowest in the eastern region and highest in the western region. (3) Environmental responsibility, environmental concern and environmental capacity direct and indirectly affect private and public environmental behaviors and the number of environmental behaviors through the willingness to protect the environment, which plays a semi-mediating role. Environmental knowledge only has a direct impact on private green consumption behavior. (4) There is a correlation between public and private environmental behaviors. Given the results of this study, a series of policy implications and recommendations are provided.
Photovoltaic Solar Farms Site Selection through “Policy Constraints–Construction Suitability”: A Case Study of Qilian County, Qinghai
Authors: Chai Shasha , Kong Fanjie , Liu Yu , Liang Mengyin , Liu Quanfeng
Published: September 2024

The scientific selection of photovoltaic (PV) sites is essential for achieving sustainable development of renewable energy and ensuring regional ecological security. In western China, extensive land resources coexist with a fragile ecological environment. To this end, we propose a PV siting framework based on policy restrictions and construction suitability. This paper evaluated the PV construction suitability index (CSI) from four dimensions of topography, climate, location, and ecology and proposed typical “PV+” models. Then, Qilian County was selected as a case study. The results showed the following: (1) In Qilian, 59.97% (8333.18 km2) of the area is unsuitable for development due to policy restrictions, leaving 40.03% (5563.02 km2) available for PV construction. (2) The most suitable areas are approximately in the western and southern areas, where there is a lot in common with the reported PV sites under construction. (3) Three distinct PV development models are proposed according to policy guidelines and local circumstances, including the PV + pastoralism model, PV + mine rehabilitation model, and PV + hydropower model. The results can be used to determine the suitable areas for solar PV farms and the appropriate development model, as well as promote the sustainable development of renewable energy.
Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000–2020
Authors: Zhang Xuewei , Zeng Yi , Chen Wanxu , Pan Sipei , Du Fenglian , Zong Gang
Published: September 2024

Exploring the low-carbon transition in China can offer profound guidance for governments to develop relevant environmental policies and regulations within the context of the 2060 carbon neutrality target. Previous studies have extensively explored the promotion of low-carbon development in China, yet no studies have completely explained the mechanisms of the low-carbon transition in China from the perspective of per capita carbon emissions (PCEs). Based on the statistics and carbon emissions data of 367 prefecture level cities in China from 2000 to 2020, this study employed markov chain, kernel density analysis, hotspots analysis, and spatial regression models to reveal the spatiotemporal distribution patterns, future trends, and driving factors of PCEs in China. The results showed that China’s PCEs in 2000, 2010, and 2020 were 0.72 ton/persons, 1.72 ton/persons, and 1.91 ton/persons, respectively, exhibiting a continuous upward trend, with evident regional heterogeneity. PCEs in northern China and the eastern coastal region were higher than those of southern China and the central and southwestern regions. The PCEs in China showed obvious spatial clustering, with hot spots mainly concentrated in Inner Mongolia and Xinjiang, while cold spots were mainly in some provinces in southern China. The transition of PCEs in China exhibited a strong stability and a ‘club convergence’ phenomenon. A regression analysis revealed that the urbanization level and latitude had negative effects on PCEs, while the regional economic development level, average elevation, average slope, and longitude showed positive effects on PCEs. These findings have important implications for the promotion of the low-carbon transition and the effective achievement of the “dual carbon” goal.
Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology
Authors: Yin Jiu , Ming Chuanbo , Zhang Guangfu , Chen Chang , Zeng Qi , Li Yuan
Published: September 2024

Femtosecond laser machining offers high precision and minimal thermal impact, making it a promising technique for processing hard and brittle materials like single-crystal diamonds (SCDs). In this study, the femtosecond laser machining process for SCD material was systematically optimized to improve both machining efficiency and quality. Initial single-factor experiments were conducted to explore the effects of key process parameters—laser power, scanning speed, and number of scans—on machining performance. Subsequently, response surface methodology (RSM)-based experiments designed using the Box–Behnken method were employed to comprehensively refine the process. A regression model was developed to analyze the data, and the interaction effects of the parameters were thoroughly evaluated. The validated model identified an optimal set of parameters, resulting in a significant improvement in machining performance. This research provides a comprehensive framework for optimizing femtosecond laser machining processes, offering valuable insights critical for the production of advanced lightweight components in industries such as aerospace, optical instruments, and high-performance electronics.
Research on Dual-Actuator Shift Control of Dual-Mode Coupling Drive Electric Vehicles
Authors: Ren Changan , Zhang Yang , Liu Shuaishuai , Chen Minghan
Published: September 2024

Dual-mode coupling drive system can improve the dynamic performance of electric vehicles through mode switching, and the quality of mode switching directly affects the comfort of drivers and passengers. Mechanical coupling on the left and right sides of the single actuator causes mutual interference during shifting, resulting in prolonged power interruption time and shifting shock. Therefore, this paper analyzes the mutual interference mechanism of single-actuator shifting, designs a new dual actuator, and proposes a staged fuzzy PID controller. Finally, the effectiveness of dual-actuator shifting is proven through simulations and real vehicle testing. Compared with conventional PID control and BP neural network PID control, the shock degree is reduced by 64% and 50%, which improves the mode-switching quality of the dual-mode coupling drive system.
BLUE SABINO: Development of a BiLateral Upper-Limb Exoskeleton for Simultaneous Assessment of Biomechanical and Neuromuscular Output
Authors: Bitikofer Christopher K. , Rueda Parra Sebastian , Maura Rene , Wolbrecht Eric T. , Perry Joel C.
Published: September 2024

Arm and hand function play a critical role in the successful completion of everyday tasks. Lost function due to neurological impairment impacts millions of lives worldwide. Despite improvements in the ability to assess and rehabilitate arm deficits, knowledge about underlying sources of impairment and related sequela remains limited. The comprehensive assessment of function requires the measurement of both biomechanics and neuromuscular contributors to performance during the completion of tasks that often use multiple joints and span three-dimensional workspaces. To our knowledge, the complexity of movement and diversity of measures required are beyond the capabilities of existing assessment systems. To bridge current gaps in assessment capability, a new exoskeleton instrument is developed with comprehensive bilateral assessment in mind. The development of the BiLateral Upper-limb Exoskeleton for Simultaneous Assessment of Biomechanical and Neuromuscular Output (BLUE SABINO) expands on prior iterations toward full-arm assessment during reach-and-grasp tasks through the development of a dual-arm and dual-hand system, with 9 active degrees of freedom per arm and 12 degrees of freedom (six active, six passive) per hand. Joints are powered by electric motors driven by a real-time control system with input from force and force/torque sensors located at all attachment points between the user and exoskeleton. Biosignals from electromyography and electroencephalography can be simultaneously measured to provide insight into neurological performance during unimanual or bimanual tasks involving arm reach and grasp. Design trade-offs achieve near-human performance in exoskeleton speed and strength, with positional measurement at the wrist having an error of less than 2 mm and supporting a range of motion approximately equivalent to the 50th-percentile human. The system adjustability in seat height, shoulder width, arm length, and orthosis width accommodate subjects from approximately the 5th-percentile female to the 95th-percentile male. Integration between precision actuation, human–robot-interaction force-torque sensing, and biosignal acquisition systems successfully provide the simultaneous measurement of human movement and neurological function. The bilateral design enables use with left- or right-side impairments as well as intra-subject performance comparisons. With the resulting instrument, the authors plan to investigate underlying neural and physiological correlates of arm function, impairment, learning, and recovery.
Representing the Information of Multiplayer Online Battle Arena (MOBA) Video Games Using Convolutional Accordion Auto-Encoder (A2E) Enhanced by Attention Mechanisms
Authors: Torres-León José A. , Moreno-Armendáriz Marco A. , Calvo Hiram
Published: September 2024

In this paper, we propose a representation of the visual information about Multiplayer Online Battle Arena (MOBA) video games using an adapted unsupervised deep learning architecture called Convolutional Accordion Auto-Encoder (Conv_A2E). Our study includes a presentation of current representations of MOBA video game information and why our proposal offers a novel and useful solution to this task. This approach aims to achieve dimensional reduction and refined feature extraction of the visual data. To enhance the model’s performance, we tested several attention mechanisms for computer vision, evaluating algorithms from the channel attention and spatial attention families, and their combination. Through experimentation, we found that the best reconstruction of the visual information with the Conv_A2E was achieved when using a spatial attention mechanism, deformable convolution, as its mean squared error (MSE) during testing was the lowest, reaching a value of 0.003893, which means that its dimensional reduction is the most generalist and representative for this case study. This paper presents one of the first approaches to applying attention mechanisms to the case study of MOBA video games, representing a new horizon of possibilities for research.
Effect of the Addition of Cu and Al on the Microstructure, Phase Composition and Properties of a Ti-6Al-4V Alloy Obtained by Selective Laser Melting
Authors: Zeer Galina M. , Gordeev Yuri I. , Zelenkova Elena G. , Abkaryan Artur K. , Gerasimov Evgeny V. , Kuchinskii Mikhail Yu. , Zharkov Sergey M.
Published: September 2024

The present study considers the samples of an Ti-6Al-4V alloy obtained by selective laser melting with the addition of a 10% Cu-Al powder mixture. The microstructure, elemental composition and phase composition, as well as the physico-chemical properties, have been investigated by the methods of electron microscopy, X-ray phase analysis, and bending testing. The obtained samples have a relative density of 98.5 ± 0.1%. The addition of the Cu-Al powder mixture facilitates supercooling during crystallization and solidification, which allows decreasing the size and changing the shape of the initial β-Ti grains. The constant cooling rate of the alloy typical for the SLM technology has been shown to be able to prevent martensitic transformation. The formation of a structure that consists of β-Ti grains, a dispersed eutectoid mixture of α-Ti and Ti2Cu grains, and a solid solution of Al in Cu has been revealed. In the case of doping by the 10% Cu-Al mixture, the physico-mechanical properties are improved. The hardness of the samples amounts to 390 HRC, with the bending strength being 1550 ± 20 MPa and deformation of 3.5 ± 0.2%. The developed alloy can be recommended for applications in the production of parts of jet and car engines, implants for medicine, and corrosion-resistant parts for the chemical industry.
Estimating the Cowper–Symonds Parameters for High-Strength Steel Using DIC Combined with Integral Measures of Deviation
Authors: Škrlec Andrej , Panić Branislav , Nagode Marko , Klemenc Jernej
Published: September 2024

Cowper–Symonds parameters were estimated for the complex-phase high-strength steel with a commercial name of SZBS800. The parameter estimation was based on a series of conventional tensile tests and unconventional high-strain rate experiments. The parameters were estimated using a reverse engineering approach. LS-Dyna was used for numerical simulations, and the material’s response was modelled using a piece-wise linear plasticity model with a visco-plastic formulation of the Cowper–Symonds material model. A multi-criteria cost function was defined and applied to obtain a response function for the parameters p and C. The cost function was modelled with a response surface, and the optimal parameters were estimated using a real-valued genetic algorithm. The main novelty and innovation of this article is the definition of a cost function that measures a deviation between the deformed geometry of the flat plate-like specimens and the results of the numerical simulations. The results are compared to the relevant literature. A critical evaluation of our results and references is another novelty of this article.
Prediction of Failure Due to Fatigue of Wire Arc Additive Manufacturing-Manufactured Product
Authors: Mancerov Sergei , Kurkin Andrey , Anosov Maksim , Shatagin Dmitrii , Chernigin Mikhail , Mordovina Julia
Published: September 2024

Currently, the focus of production is shifting towards the use of innovative manufacturing techniques and away from traditional methods. Additive manufacturing technologies hold great promise for creating industrial products. The industry aims to enhance the reliability of individual components and structural elements, as well as the ability to accurately anticipate component failure, particularly due to fatigue. This paper explores the possibility of predicting component failure in parts produced using the WAAM (wire arc additive manufacturing) method by employing fractal dimension analysis. Additionally, the impact of manufacturing imperfections and various heat treatment processes on the fatigue resistance of 30CrMnSi steel has been investigated. Fatigue testing of samples and actual components fabricated via the WAAM process was conducted in this study. The destruction of the examined specimens and products was predicted by evaluating the fractal dimensions of micrographs acquired at different stages of fatigue testing. It has been established that technological defects are more dangerous in terms of fatigue failure than microstructural ones. The correctly selected mode of heat treatment for metal after electric arc welding allows for a more homogeneous microstructure with a near-complete absence of microstructural defects. A comparison of the fractal dimension method with other damage assessment methods shows that it has high accuracy in predicting part failure and is less labor-intensive than other methods.
Effect of Laser Energy Density on the Properties of CoCrFeMnNi High-Entropy Alloy Coatings on Steel by Laser Cladding
Authors: Ding Chenchen , Zhang Qi , Sun Siyu , Ni Hongjun , Liu Yu , Wang Xiao , Wan Xiaofeng , Wang Hui
Published: September 2024

High-entropy alloys (HEAs) have emerged as a novel class of materials with exceptional mechanical and corrosion properties, offering promising applications in various engineering fields. However, optimizing their performance through advanced manufacturing techniques, like laser cladding, remains an area of active research. This study investigated the effects of laser energy density on the mechanical and electrochemical properties of CoCrFeMnNi HEA coatings applied to Q235 substrates. Utilizing X-ray diffraction (XRD), this study confirmed the formation of a single-phase face-centered cubic (FCC) structure in all coatings. The hardness of the coatings peaked at 210 HV with a laser energy density of 50 J/mm2. Friction and wear tests highlighted that a coating applied at 60 J/mm2 exhibited the lowest wear rate, primarily due to adhesive and oxidative wear mechanisms, while the 55 J/mm2 coating showed increased hardness but higher abrasive wear. Electrochemical testing revealed superior corrosion resistance for the 60 J/mm2 coating, with a slow corrosion rate and minimal passivation tendency in contrast to the 55 J/mm2 coating. The comprehensive evaluation indicates that the HEA coating with an energy density of 60 J/mm2 exhibits exceptional wear and corrosion resistance.
Effect of Electromagnetic Field Assistance on the Wear and Corrosion Resistance of Nickel-Based Coating by Laser Cladding
Authors: Zhan Dianxian , Jiang Dezhi , Tong Yonggang , Zhang Mingjun , Zhang Jian , Hu Hongwei , Zhang Zhenlin , Wang Kaiming
Published: September 2024

Offshore wind turbine generators usually demand higher requirements for key component materials because of the adverse working environment. Therefore, in this study, electromagnetic-assisted laser cladding technology was introduced to prepare the nickel-based composite coating on the Q345R matrix of wind turbine generator key component material. By means of Scanning Electron Microscope (SEM), X-ray diffraction (XRD), Energy Dispersive Spectrometer (EDS), the Vickers hardness tester, friction and wear tester, and electrochemical workstation, the effects of different magnetic field intensities on the macroscopic morphology, microstructure, phase composition, microhardness, wear resistance, and corrosion resistance of the coating were analyzed. The experimental results show that the addition of a magnetic field can effectively reduce the surface defects, improve the surface morphology, and not change the phase composition of the coating. With the increase in magnetic field intensity, the microstructure is gradually refined, and the average microhardness increases gradually, reaching a maximum of 944HV0.5 at 8 T. The wear resistance gradually increases with the increase in magnetic field intensity, especially when the magnetic field intensity reaches 12 T, the wear rate of the coating is reduced by 81.13%, and the corrosion current density is reduced by 43.7% compared with the coating without a magnetic field. The addition of an electromagnetic field can enhance the wear resistance and corrosion resistance of the nickel-based laser cladding layer.
Coral Reef Water Microbial Communities of Jardines de la Reina, Cuba
Authors: Denux Manon , Armenteros Maickel , Weber Laura , Miller Carolyn A. , Sántha Kinga , Apprill Amy
Published: September 2024

Globally, coral reef ecosystems are undergoing significant change related to climate change and anthropogenic activities. Yet, the Cuban archipelago of Jardines de la Reina (JR) has experienced fewer stressors due to its geographical remoteness and high level of conservation. This study examines the surface and benthic reef water microbial communities associated with 32 reef sites along the JR archipelago and explores the relationship between the community composition of reef microorganisms examined using bacterial and archaeal small subunit ribosomal RNA gene (16S rRNA gene) sequencing compared to geographic, conservation/protection level, environmental, physicochemical, and reef benthic and pelagic community features. Reef nutrient concentrations were low and microbial communities dominated by picocyanobacteria and SAR11 and SAR86 clade bacteria, characteristic of an oligotrophic system. Reef water microbial community alpha and beta diversity both varied throughout the archipelago and were strongly related to geography. Three sites in the western archipelago showed unique microbial communities, which may be related to the hydrogeography and influences of the channels linking the Ana Maria gulf with the Caribbean Sea. Overall, this work provides the first extensive description of the reef microbial ecology of the Caribbean’s ‘Crown Jewel’ reef system and a framework to evaluate the influence of ongoing stressors on the reef microorganisms.
Geochronology and Geochemistry of Granodiorite Porphyry in the Baoshan Cu-Pb-Zn Deposit, South China: Insights into Petrogenesis and Metallogeny
Authors: Dai Xueling , Chen Ke , Zhang Junke , Li Yongshun , He Mingpeng , Liu Zhongfa
Published: September 2024

The Baoshan Cu-Pb-Zn deposit is situated at the intersection of the Qin-Hang Cu polymetallic and Nanling W-Sn polymetallic metallogenic belts. The age, lithology, petrogenesis, and tectonic setting of granodiorite porphyry within the deposit remain subjects of debate. Additionally, there is a lack of comparative studies with the W-Sn-related granites in the region. This study conducted whole-rock major and trace element analysis, Sr-Nd isotope analysis, and zircon U-Pb dating on the Baoshan granodiorite porphyry. The zircon U-Pb age of the granodiorite porphyry is 162 ± 1 Ma. The whole-rock SiO2 and K2O contents range from 65.87 to 68.21 wt.% and 3.42 to 5.62 wt.%, respectively, indicating that the granodiorite porphyry belongs to high-potassium calc-alkaline I-type granite. The granodiorite porphyry is characterized by enrichment in LREE and depletion in HREE (LREE/HREE ratio = 6.2–21.2). The samples of granodiorite porphyry generally exhibit weak negative Eu anomalies or no Eu anomalies (δEu = 0.62–1.04, mean = 0.82). The (87Sr/86Sr)i and εNd(t) values are 0.707717–0.709506 and −7.54 to −4.87, respectively. The whole-rock geochemical composition and Sr-Nd isotopic values indicate that the magma originated from the partial melting of the Mesoproterozoic ancient crust and Neoproterozoic mafic juvenile lower crust, with the addition of high oxygen fugacity and water-rich lithospheric mantle melts. The source of the granodiorite porphyry in the Baoshan deposit is significantly different from the crust-derived metapelite source of the W-Sn-related granite in the area, indicating that different magma sources might be the main reason for the co-spatial and nearly contemporaneous development of Cu-Pb-Zn and W-Sn mineralization in the southern Hunan region.