bluuebunny/crossref_metadata_2025 huggingface dataset:
Whole-Body MRI Screening for Carriers of Germline TP53 Mutations—A Systematic Review and Meta-Analysis
Authors: Temperley Hugo C. , O’Sullivan Niall J. , Mac Curtain Benjamin M. , Qian Wanyang , Temperley Tatiana S. , Murray Alannah , Corr Alison , Brennan Ian , Gallagher David , Meaney James F. , Kelly Michael E.
Published: February 2024

Purpose: This systematic review evaluated whole-body MRI (WB-MRI) as a cancer screening tool for individuals carrying germline TP53 mutations, a population known to be at a significantly elevated risk of malignancy. The primary objective is to assess the diagnostic performance of WB-MRI in detecting cancer in this cohort. Methods: PubMed, MEDLINE, EMBASE and the Cochrane Central Registry of Controlled Trials were searched until 18 August 2023. Eligible studies were selected based on predefined inclusion criteria. The data extracted included information on study characteristics, patient demographics, and the WB-MRI diagnostic performance. Results: This systematic review identified eight eligible studies, comprising 506 TP53 mutation carriers. The mean age was 34.6 ± 16.3 (range 1–74) years. In total, 321/506 (63.4%) of the patients were female and 185/506 (36.6%) were male. In addition, 267/506 (52.8%) had a previous oncological diagnosis. Thirty-six new cancers were diagnosed with WB-MRI (36/506 (7.1%)). The overall pooled proportion of cancer detected on MRI was 7% (95% confidence interval 5–10). In total, 44 new lesions were picked up, as multiple lesions were found in some patients. Conclusion: WB-MRI is an effective cancer screening tool for TP53 mutation carriers. While these findings suggest the potential for WB-MRI to contribute to early cancer detection in this high-risk population, further research and the standardisation of protocols internationally are warranted to optimise its clinical utility.
A Terrain-Following Control Method for Autonomous Underwater Vehicles with Single-Beam Sensor Configuration
Authors: Yan Zheping , Hao Lichao , Wang Yuzhu , Chen Tao
Published: February 2024

This paper investigates the terrain-following problem for an autonomous underwater vehicle (AUV) from control perspectives with full consideration of terrain characteristics. By equipping the AUV with three simple single-beam echo sounders, a set of precise along-track bottom slopes are obtained in a real-time manner, and the occurrence of the lost bottom lock phenomenon caused by a single sonar altimeter is eliminated. A slope-based data processing method is developed, which enables an AUV to characterize seafloor features with complementary sensing modalities to generate proper adaptive height-modified values. In order to keep a fixed height when maneuvering over rugged terrains, a back-stepping depth control is implemented by adjusting horizontal rudder angle, and Lyapunov theory is adopted to analyze the asymptotic stability of the resulting terrain-following control system. At last, simulation results indicate the feasibility and effectiveness of the proposed methodology with a discussion of various sensor configurations.
Analysis of Fluid Field in Fish Tank of Breeding Vessel with Perforated Broadsides under Wave Conditions
Authors: Wang Wenhua , Li Min , Fan Guoqiang , Zhang Kedong , Huang Yi
Published: February 2024

For a fish tank of breeding vessels with perforated broadsides, in order to analyze its fluid characteristics under wave conditions, this paper presents a numerical method and predicts the fluid field in a fish tank with opening holes. Therein, three critical problems were solved, which include wave generation, the fluid–structure interaction of waves and vessel motion, and the sloshing phenomenon in the tank. The feasibility of the method was validated through a comparison with theoretical and experimental results. On this basis, the fluid characteristics in the fish tank of a fixed breeding vessel with opening holes on side walls were discussed. Firstly, the effects of wave direction, wave height, and wave period on the flow field in the tank were mainly analyzed. Next, the fluid characteristics in the tank of a floating vessel with opening holes equipping a multi-point mooring system were investigated. Finally, the influence of motion responses of breeding vessels on the fluid field in the fish tank was examined.
The Effect of Geoclimatic Factors on the Distribution of Paracoccidioidomycosis in Mato Grosso do Sul, Brazil
Authors: Fabris Larissa Rodrigues , de Oliveira Nathan Guilherme , Bortolomai Bruna Eduarda , Batista Lavínia Cássia Ferreira , Sobral Marcos Henrique , Ribeiro Alisson André , Andrade Ursulla Vilella , Paranhos Filho Antonio Conceição , de Carvalho Lídia Raquel , Baptista Ida Maria Foschiani Dias , Mendes Rinaldo Poncio , Paniago Anamaria Mello Miranda
Published: February 2024

The incidence of paracoccidioidomycosis (PCM) varies in Latin America, and it is influenced by environmental factors. This study evaluated the distribution of PCM acute/subacute form (AF) cases and their correlation with geoclimatic factors in the Mato Grosso do Sul (MS) state. The study included 81 patients diagnosed with the PCM/AF at the University Hospital of the Federal University of Mato Grosso do Sul between January 1980 and February 2022. Geographic coordinates, health microregion of patient’s residence, compensated average temperature, relative air humidity (RH), El Niño Southern Oscillation (ENSO), and average global temperature were analyzed. The highest incidence was observed in the Aquidauana (7/100,000 inhabitants), while Campo Grande, the state’s capital, had the highest number (n = 34; 42.4%) and density (4.4 cases/km2) of cases. The number of cases increased during extended periods of the El Niño phenomenon. A positive correlation was found between higher RH and PCM/AF cases. Most PCM/AF cases were found in areas with loamy soils and RH ranging from 60.8 to 73.6%. In MS, the health microregions of PCM/AF patients are characterized by deforestation for agricultural and pasture use, coupled with loamy soils and specific climatic phenomena leading to higher soil humidity.
Family Ownership, Corporate Governance Quality and Tax Avoidance: Evidence from an Emerging Market—The Case of Jordan
Authors: Almaharmeh Mohammad I. , Shehadeh Ali , Alkayed Hani , Aladwan Mohammad , Iskandrani Majd
Published: February 2024

This study examines the impact of family ownership on tax avoidance decisions. This study further investigates the effects of corporate governance quality on the relationship between family ownership and tax avoidance. We construct a sample of non-financial firms listed on the ASE for the period 2015–2021. The results demonstrate that family-owned firms have high levels of tax avoidance. This result supports the private-benefit expropriation hypothesis. Regarding the mediating effect of corporate governance variables, the results suggest that large audit committees and audit committees that meet more frequently curb attempts by family owners to avoid paying tax.
How Does the Exchange Rate and Its Volatility Influence FDI to Canada? A Disaggregated Analysis
Authors: Lajevardi Hooman , Chowdhury Murshed
Published: February 2024

This study investigates the relationship between the real effective exchange rate (REER) and its volatility with the net inflow of foreign direct investment (FDI) to Canada, placing a novel emphasis on sector-level analysis. The study utilizes time series data from 2007 to 2022 and employs the autoregressive distributed lag (ARDL) approach to assess short-run and long-run relationships between the said variables. The findings reveal significant impacts of changes in REER, its volatility, and GDP on net FDI in the short run, with lasting effects of REER and its volatility, lagged GDP, and trade openness on FDI in the long run. At the sectoral level, FDI inflows in energy and mining, manufacturing, finance, and insurance exhibit significant sensitivity to changes in REER. Simultaneously, the volatility of REER has a significant impact on FDI inflows in manufacturing industries and the finance and insurance sector in the short run. In the long run, REER exerts a significant influence on the net FDI inflows in energy and mining, as well as manufacturing industries. The asymmetry in findings suggests a need for sector-specific attention to retaining and attracting FDI to Canada.
Tax Compliance in Slovenia: An Empirical Assessment of Tax Knowledge and Fairness Perception
Authors: Hauptman Lidija , Žmuk Berislav , Pavić Ivana
Published: February 2024

Complex tax systems can result in tax evasion, which further impacts the revenues necessary to achieve sustainable development goals. Enhancing taxpayer education, tax knowledge, and tax fairness perception is essential for boosting revenues to support societal sustainability. The aim of this study was to assess the levels of tax knowledge and tax fairness perception within the Slovene taxpayer population, with a specific focus on the differences related to gender and settlement size. Further, the connections between tax knowledge and various aspects of tax fairness were explored. The Kruskal–Wallis test was used to assess the statistical significance of gender and settlement size differences and the Kendall’s coefficient of rank to determine the association between the tax knowledge and fairness perception dimensions. The results provide evidence that highlights disparities in tax knowledge between male and female taxpayers (p-value = 0.0116). Additionally, this study demonstrates that settlement size does not significantly impact tax knowledge perception among Slovene taxpayers (p-value = 0.2067). However, tax fairness encompasses various dimensions, and our research reveals no disparities based on gender (p-value = 0.7263) or settlement size (p-value = 0.2786). When assessing the correlation between tax knowledge and tax fairness perception, the results indicate statistically significant but weak correlations in both directions, depending on the specific fairness dimension.
Impact of the Environmental, Social, and Governance Rating on the Cost of Capital: Evidence from the S&P 500
Authors: Ernst Dietmar , Woithe Florian
Published: February 2024

We use the S&P 500 to investigate whether companies with a good ESG score benefit from a lower cost of capital. Using Bloomberg’s financial data and MSCI’s ESG score for 498 companies, we calculated the measures of descriptive statistics, finding that companies with better ESG ratings enjoy both a lower cost of equity and a lower cost of debt. However, their WACC shows no improvement with a higher ESG score. Companies with a poor ESG rating have a lower WACC due to the higher proportion of debt capital, coupled with a higher cost of debt, compared to the cost of equity capital. Calculating the Pearson correlation coefficient, we found a slightly negative linear relationship between the ESG score and the beta factor, and between the ESG score and the cost of debt. No linear relationship was found between the WACC and the ESG score. Finally, linear regression analysis shows a negative and significant effect of the ESG score on the root beta factor. This research indicates that companies with better ESG scores benefit from lower cost of equity and debt. Our results may encourage companies to operate more sustainably to reduce their cost of capital.
The Value Expression and Driving Factors of Rural Spatial Ecological Products: A Case Study of B&Bs in Jiangsu and Zhejiang Provinces, China
Authors: Yin Jie , Zhao Lili
Published: February 2024

In the context of rural revitalization strategies and humans’ increasing leisure pursuits, rural tourism has begun to act as a new development path of rural economic growth and industrial transformation. This phenomenon generally occurs in rural areas around metropolitan areas, manifesting as the transformation or reconstruction of rural spaces. As a result, many new types of tertiary industry spaces utilizing rural land for leisure activities have emerged. We analyze the connotations of rural spatial and industrial transformation from the perspective of spatial production and innovatively propose that the transformed space is an ecological product, which includes three types in practice: industrial space, consumption space, and residential space. This study facilitates urban–rural integration and common prosperity. Given the lack of analysis of rural ecological products, especially rural spatial ecological products (e.g., rural B&Bs and other tertiary industry spaces), this study aims to explore the value expression and driving factors of rural spatial ecological products based on geo-visual (spatially visualizing) analytical tools looking at 10361 B&Bs in Jiangsu and Zhejiang Provinces of China as typical examples. Our results show that (1) the value of rural spatial ecological products is reflected in the price that urban consumers are willing to pay for rural natural landscapes, which constitutes an ecological premium; and (2) the prices of rural spatial ecological products are strikingly different at multiple spatial scales, and this difference is related to the local ecological resources. This study provides insights into the rational allocation of the limited resources required for rural construction, which helps optimize the spatial planning of rural ecotourism and enhance the gametogenous development momentum of rural areas. At the same time, this study theoretically expands the research results of cultural ecosystem services.
Deaf Signers’ Processing of the Sentence: An Indicator of Their Specific Pathway to the Written Word?
Authors: Périni Marie , Dadone Adrien , Garcia Brigitte
Published: February 2024

This article addresses the issue of access to the written word for deaf people whose main language is sign language. We question the status of sentence processing in the acquisition of a written language by deaf people, visual beings par excellence. This written language is both the written form of another language (namely a vocal language) and another modality, that of writing (as opposed to the oral form of language i.e., the face-to-face form of language), which they have not experienced in their own, non-written language. We highlight two points in the literature that we feel are crucial to addressing this issue: first, the significant linguistic distance between their L1 (SL) and their L2 (written vocal language), which severely limits the possibility of positive transfer from one to the other; and secondly, the evidence of a cognitive functioning specific to deaf people, marked in particular by higher processing capacities in the visual domain. Based on the results of two studies on the written output of deaf people, we suggest that particularities in the acquisition of the sentence are closely linked both to the structure of SL and to the visual functioning of this population. Finally, we emphasize the importance of using sign language as a metalanguage in teaching writing to deaf signers.
Utterance-Final Voice Quality in American English and Mexican Spanish Bilinguals
Authors: Duarte-Borquez Claudia , Van Doren Maxine , Garellek Marc
Published: February 2024

We investigate utterance-final voice quality in bilinguals of English and Spanish, two languages which differ in the type of non-modal voice usually encountered at ends of utterances: American English often has phrase-final creak, whereas in Mexican Spanish, phrase-final voiced sounds are breathy or even devoiced. Twenty-one bilinguals from the San Diego-Tijuana border region were recorded (with electroglottography and audio) reading passages in English and Spanish. Ends of utterances were coded for their visual voice quality as “modal” (having no aspiration noise or voicing irregularity), “breathy” (having aspiration noise), “creaky” (having voicing irregularity), or “breathy-creaky” (having both aspiration noise and voicing irregularity). In utterance-final position, speakers showed more frequent use of both modal and creaky voice when speaking in English, and more frequent use of breathy and breathy-creaky voice when speaking in Spanish. We find no role of language dominance on the rates of these four voice qualities. The electroglottographic and acoustic analyses show that all voice qualities, even utterance-final creak, are produced with increased glottal spreading; the combination of distinct noise measures and amplitude of voicing can distinguish breathy, creaky, and breathy-creaky voice qualities from one another, and from modal voice.
Study of Microstructure and Performance Evaluation of Zr-Sn-Nb Joints by Electron Beam Welding
Authors: Zhao Yanli , Zhang Anrui , Yue Huifang , Wang Houqin , Xin Yong , Zhou Yi
Published: February 2024

In this work, Zr-Sn-Nb alloy was joined by electron beam welding (EBW). A defect-free Zr-Sn-Nb joint with sound appearance was obtained. The grains in the weld zone (WZ) and heat-affected zone (HAZ) are significantly coarsened. The columnar grains with a maximum grain size of 0.5 mm are distributed in the upper region of the WZ, while the equiaxed grains are almost located in the bottom region of the WZ. The WZ is mainly composed of the dominant α-Zr, α′-Zr and a few β phases. The grain orientation of WZ and HAZ is uniform, indicating that no obvious preferred orientation existed. Coarse grains and fine acicular α′ phases increase the strength of the joint, but reduce the plasticity and toughness of the joint. The tensile strengths of the joints at room temperature (RT) and 375 °C were 438 MPa and 313 MPa, respectively. The RT impact energy of the joint is 18.5 J, which is only 58.3% of the BM. The high purity of the EBW process and unsignificant grain orientation minimizes damage to the corrosion resistance of Zr-Sn-Nb alloy joints. The corrosion weight gain of the joint specimen and the BM specimen were 12.91 mg/dm2 and 12.64 mg/dm2, respectively, and the thicknesses of the cross-section corrosion layer were 12–15 μm and 9–12 μm, respectively.
Progressive Frequency-Guided Depth Model with Adaptive Preprocessing for Casting Defect Detection
Authors: Wang Yingbo , Zuo Fengyuan , Zhang Shuai , Zhao Zhen
Published: February 2024

This article proposes a progressive frequency domain-guided depth model with adaptive preprocessing to solve the problem of defect detection with weak features based on X-ray images. In distinct intuitive surface defect detection tasks, non-destructive testing of castings using X-rays presents more complex and weak defect features, leading to lower accuracy and insufficient robustness on the part of current casting defect detection methods. To address these challenges, the proposed method establishes four specialized mechanisms to improve model accuracy. First, an adaptive image contrast enhancement method is proposed to enhance the features of defects in casting images to promote subsequent feature extraction and prediction. Second, a subtle clue mining module based on frequency domain attention is proposed to fully extract the discriminative features of casting defects. Third, a feature refinement module based on progressive learning is proposed to achieve a balance between feature resolution and semantic information. Finally, a refined deep regression supervision mechanism is designed to improve defect detection accuracy under strict intersection-to-union ratio standards. We established extensive ablation studies using casting defect images in GDXray, conducted detailed comparative experiments with other methods, and performed experiments to analyze the robustness of the resulting models. Compared with other X-ray defect detection methods, our framework achieves an average +4.6 AP. Compared to the baseline, our proposed refined deep regression supervision mechanism results in an improvement of 5.3 AP.
Experimental Investigation of Frictional Resistance in Sliding Contact between Undulating Surfaces and Third-Body Particles
Authors: Li Qiang , Heß Markus
Published: February 2024

The third-body particle-involved sliding contact between two rough rubbers with wavy surfaces is experimentally studied. The experiment is designed to isolate the direct contact between the first bodies so that friction resistance is induced completely by the interactions between the third-body particle and the surfaces of the rubbers. In dry contact of a single particle, it is found that the particle exhibits pure rolling during the sliding of the first bodies, and the macroscopic friction resistance for overcoming sliding does not depend on the particle size, but it is significantly influenced by the initial position of the surface waviness relative to the particle’s position. The behavior of the particle under lubricated conditions exhibited significant differences. Due to the low local friction at the interface, the particle rapidly glided down to the valley of the waviness during compression. This abrupt motion of the particle resulted in it coming to rest in a stable position, awaiting a substantial force to push it forward. The friction resistance in the case with lubrication was found to be independent of the initial position of the waviness, and its value consistently remained at the maximum found in dry contact. Therefore, lubrication actually increases the macroscopic friction resistance. An approximate solution for the specific case of dry contact is proposed to understand the friction behavior.
Nano-Magnonic Crystals by Periodic Modulation of Magnetic Parameters
Authors: Roxburgh Alison , Iacocca Ezio
Published: February 2024

Magnonic crystals are metamaterials whose magnon behavior can be controlled for specific applications. To date, most magnonic crystals have relied on nanopatterning and magnetostatic waves. Here, we analytically and numerically investigate magnonic crystals defined by modulating magnetic parameters at the nanoscale, which predominantly act on exchange-dominated, sub-100 nm magnons. We focus on two cases: the variation in the exchange constant, and the DMI constant. We found that the exchange constant modulation gives rise to modest band gaps in the forward volume wave and surface wave configurations. The modulation of the DMI constant was found to have little effect on the magnonic band structure, leading instead to a behavior expected for unpatterned thin films. We believe that our results will be interesting for future experimental investigations of nano-designed magnonic crystals and magnonic devices, where material parameters can be locally controlled, e.g., by thermal nano-lithography.
Performance of a Synchronisation Station with Abandonment
Authors: Fiems Dieter
Published: February 2024

The paper presents a Markovian queueing model for assessing the performance of synchronisation between stations in a production system. The system at hand consists of K distinct buffers, each buffer storing an item that is needed for the next production stage. Departures are immediate when all items are present. Due to the presence of multiple buffers, there is no reasonably fast way to calculate the stationary distribution of the Markov chain. Therefore, we focused on the series expansion of the stationary distribution in terms of the arrival rate. We provide a fast algorithm for calculating these terms. Comparing our results with stochastic simulation, we show that the expansion approach converges to the simulated values for a wide range of arrival rates.
Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers
Authors: Kosar Tomaž , Ostojić Dragana , Liu Yu David , Mernik Marjan
Published: February 2024

The use of large language models with chatbots like ChatGPT has become increasingly popular among students, especially in Computer Science education. However, significant debates exist in the education community on the role of ChatGPT in learning. Therefore, it is critical to understand the potential impact of ChatGPT on the learning, engagement, and overall success of students in classrooms. In this empirical study, we report on a controlled experiment with 182 participants in a first-year undergraduate course on object-oriented programming. Our differential study divided students into two groups, one using ChatGPT and the other not using it for practical programming assignments. The study results showed that the students’ performance is not influenced by ChatGPT usage (no statistical significance between groups with a p-value of 0.730), nor are the grading results of practical assignments (p-value 0.760) and midterm exams (p-value 0.856). Our findings from the controlled experiment suggest that it is safe for novice programmers to use ChatGPT if specific measures and adjustments are adopted in the education process.
Potential Applications of Explainable Artificial Intelligence to Actuarial Problems
Authors: Lozano-Murcia Catalina , Romero Francisco P. , Serrano-Guerrero Jesus , Peralta Arturo , Olivas Jose A.
Published: February 2024

Explainable artificial intelligence (XAI) is a group of techniques and evaluations that allows users to understand artificial intelligence knowledge and increase the reliability of the results produced using artificial intelligence. XAI can assist actuaries in achieving better estimations and decisions. This study reviews the current literature to summarize XAI in common actuarial problems. We proposed a research process based on understanding the type of AI used in actuarial practice in the financial industry and insurance pricing and then researched XAI implementation. This study systematically reviews the literature on the need for implementation options and the current use of explanatory artificial intelligence (XAI) techniques for actuarial problems. The study begins with a contextual introduction outlining the use of artificial intelligence techniques and their potential limitations, followed by the definition of the search equations used in the research process, the analysis of the results, and the identification of the main potential fields for exploitation in actuarial problems, as well as pointers for potential future work in this area.
A Novel Improved Whale Optimization Algorithm for Global Optimization and Engineering Applications
Authors: Liang Ziying , Shu Ting , Ding Zuohua
Published: February 2024

The Whale Optimization Algorithm (WOA) is a swarm intelligence algorithm based on natural heuristics, which has gained considerable attention from researchers and engineers. However, WOA still has some limitations, including limited global search efficiency and a slow convergence rate. To address these issues, this paper presents an improved whale optimization algorithm with multiple strategies, called Dynamic Gain-Sharing Whale Optimization Algorithm (DGSWOA). Specifically, a Sine–Tent–Cosine map is first adopted to more effectively initialize the population, ensuring a more uniform distribution of individuals across the search space. Then, a gaining–sharing knowledge based algorithm is used to enhance global search capability and avoid falling into a local optimum. Finally, to increase the diversity of solutions, Dynamic Opposition-Based Learning is incorporated for population updating. The effectiveness of our approach is evaluated through comparative experiments on blackbox optimization benchmarking and two engineering application problems. The experimental results suggest that the proposed method is competitive in terms of solution quality and convergence speed in most cases.
Homogeneously Weighted Moving Average Control Charts: Overview, Controversies, and New Directions
Authors: Malela-Majika Jean-Claude , Human Schalk William , Chatterjee Kashinath
Published: February 2024

The homogeneously weighted moving average (HWMA) chart is a recent control chart that has attracted the attention of many researchers in statistical process control (SPC). The HWMA statistic assigns a higher weight to the most recent sample, and the rest is divided equally between the previous samples. This weight structure makes the HWMA chart more sensitive to small shifts in the process parameters when running in zero-state mode. Many scholars have reported its superiority over the existing charts when the process runs in zero-state mode. However, several authors have criticized the HWMA chart by pointing out its poor performance in steady-state mode due to its weighting structure, which does not reportedly comply with the SPC standards. This paper reviews and discusses all research works on HWMA-related charts (i.e., 55 publications) and provides future research ideas and new directions.
A New Chaos-Based Image Encryption Algorithm Based on Discrete Fourier Transform and Improved Joseph Traversal
Authors: Wang Mingxu , Fu Xianping , Yan Xiaopeng , Teng Lin
Published: February 2024

To further enhance the security of image encryption, a new chaos-based image encryption algorithm (IEA) based on discrete Fourier transform and Joseph traversal is proposed to encrypt the plain image in both the frequency domain and space domain simultaneously. In the proposed IEA, the logistic map is used to generate the appropriate chaotic sequence, and the improved Joseph traversal is used to scramble the image in different starting positions and variable step sizes. Then, block diffusion is performed at the end. The main finding concerning the proposed IEA is that the combination of discrete Fourier transform and Joseph traversal can enhance the security of the image information, which has been validated by measuring the performance in resisting the common types of attacks.
Phase Angle as a Marker of Physical Function in Non-Sarcopenic Rheumatoid Arthritis
Authors: Park Hae-Yeon , Lee Jong In , Park Yune-Jung , Lim Seong Hoon
Published: February 2024

Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease. Most patients with RA face a barrier to participation in social activities or exercise due to joint pain, despite the beneficial effects of exercise and physical activity. Thus, RA may be a risk factor for sarcopenia in the clinical field. Bioelectrical impedance analysis-derived phase angle (PhA) reflects cellular health and is correlated with the prognosis of various diseases. However, its association with physical function in non-sarcopenic RA female patients remains unclear. We evaluated the association between PhA values and various physical function measures in female patients with non-sarcopenic RA. Methods: Thirty-five participants with RA were screened. One met the criteria for sarcopenia. Finally, 34 patients with non-sarcopenic RA were enrolled. This cross-sectional retrospective study evaluated upper- and lower-extremity strengths, cross-sectional area of rectus femoris, 6 min walking test, Borg scale score, sit-to-stand test, and physical function and mental health from 36-Item Short Form Health Survey scores. Results: In total, 34 female participants (mean age = 49.74 ± 8.15 years) were enrolled. In non-sarcopenic RA patients, PhA was significantly correlated with BMI and ASM/(height)2. Multicollinearity was not detected among the independent variables (VIF < 5). The final multivariable regression model identified ASM/height2 as a significant predictor of PhA among non-sarcopenic RA patients. Conclusion: Multivariable linear regression analyses identified appendicular skeletal muscle mass as a significant predictor of PhA. Bioelectrical impedance analysis-derived PhA is a valuable guidance tool for RA management. PhA can be a useful clinical biomarker of muscle status in non-sarcopenic RA patients.
Does Psychological State Influence the Physiological Response to Cardiac Rehabilitation in Older Adults?
Authors: Kowalewska Karolina , Radecki Kamil , Cieślik Błażej
Published: February 2024

Background and Objectives: Cardiovascular diseases (CVDs) are a major global cause of death. Effective secondary prevention is crucial, involving risk factor modification and cardiac rehabilitation. However, mental factors, particularly depression, exert a significant influence on CVD outcomes by increasing cardiovascular risk and impeding treatment adherence. Therefore, the aim of this study is to assess the impact of psychological state on the effectiveness of rehabilitation in cardiac patients. Materials and Methods: Thirty-three patients referred for cardiac rehabilitation participated in a 3-week program, retrospectively categorized into two groups: those with and without depressive symptoms. The functional status of the patients was assessed using the R.A.M.P. protocol exercise test, conducted on a treadmill, during which resting and exercise heart rate (HR), systolic (SBP) and diastolic (DBP) blood pressure, and metabolic equivalent of task (MET) measurements were taken. The Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS-10) were utilized to evaluate the patients’ psychological state. Stepwise regression explored the psychological factors explaining physiological parameter variance. Results: Participants without depressive symptoms exhibited significantly greater improvements in exercise HR (15.58 vs. 1.07; p = 0.02), exercise SBP (7.93 vs. −2.05; p = 0.05), and exercise METs (1.52 vs. 0.50; p = 0.006) compared to those with depressive symptoms. The following predictors were found to be significant: for exercise HR—HADS-D (r2 = 12%; p = 0.04); for exercise DBP—PSS-10 (r2 = 27%; p = 0.002); and for METs—HADS-D and age (r2 = 26%; p = 0.01). Conclusions: In conclusion, cardiac rehabilitation improved psychological and physiological parameters in both groups, with greater effectiveness seen in those without depression. Depressive symptoms predicted exercise HR, SBP, and METs, highlighting their role in worsening cardiac disease. Emphasizing psychological factors, including depression and stress, in cardiac rehabilitation can enhance effectiveness and patient outcomes.
Enhanced Salt Removal of Fresh Water by Recovery-Reduced Ion Concentration Polarization Desalination
Authors: Cho Myeonghyeon , Han Seokhee , Lee Seohyun , Kim Joong Bae , Kim Bumjoo
Published: February 2024

Here, we examine electromembrane systems for low-concentration desalination applicable to ultrapure water production. In addition to electrodialysis and ion concentration polarization (ICP) desalination, we propose a recovery-reduced ICP strategy for reducing the width of the desalted outlet for a higher salt removal ratio (SRR). The correlation between conductivity changes and thickness of the ion depletion zone is identified for electrodialysis, ICPH (1:1), and ICPQ (3:1) with a low-concentration feed solution (10 mM, 1 mM, 0.1 mM NaCl). Based on the experimental results, the scaling law and SRR for the electroconvection zone are summarized, and current efficiency (CE) and energy per ion removal (EPIR) depending on SRR are also discussed. As a result, the SRR of electrodialysis is mostly around 50%, but that of recovery-reduced ICP desalination is observed up to 99% under similar operating conditions. Moreover, at the same SRR, the CE of recovery-reduced ICP is similar to that of electrodialysis, but the EPIR is calculated to be lower than that of electrodialysis. Considering that forming an ion depletion zone up to half the channel width in the electromembrane system typically requires much power consumption, an ICP strategy that can adjust the width of the desalted outlet for high SRR can be preferable.
Methane Biofiltration Processes: A Summary of Biotic and Abiotic Factors
Authors: Ahmadi Fatemeh , Bodraya Tatiana , Lackner Maximilian
Published: February 2024

The ongoing yearly rise in worldwide methane (CH4) emissions is mostly due to human activities. Nevertheless, since over half of these emissions are scattered and have a concentration of less than 3% (v/v), traditional physical–chemical methods are not very effective in reducing them. In this context, biotechnologies like biofiltration using methane-consuming bacteria, also known as methanotrophs, offer a cost-efficient and practical approach to addressing diffuse CH4 emissions. The present review describes recent findings in biofiltration processes as one of the earliest biotechnologies for treating polluted air. Specifically, impacts of biotic (such as cooperation between methanotrophs and non-methanotrophic bacteria and fungi) and abiotic factors (such as temperature, salinity, and moisture) that influence CH4 biofiltration were compiled. Understanding the processes of methanogenesis and methanotrophy holds significant importance in the development of innovative agricultural practices and industrial procedures that contribute to a more favourable equilibrium of greenhouse gases. The integration of advanced genetic analyses can enable holistic approaches for unravelling the potential of biological systems for methane mitigation. This study pioneers a holistic approach to unravelling the biopotential of methanotrophs, offering unprecedented avenues for biotechnological applications.
Excitation of Terahertz Spoof Surface Plasmons on a Roofed Metallic Grating by an Electron Beam
Authors: Liu Yongqiang , Zhang Xutao , Wang Yan , Cai He , Sun Jinhai , Zhu Yong , Li Liangsheng
Published: February 2024

In this paper, both fundamental SSP modes on a roofed metallic grating and its effective excitation of the bounded SSP mode by an injected electron beam on the structure are numerically examined and investigated in the THz regime. Apart from the bounded SSP mode on the metallic grating with open space, the introduced roofed metallic grating can generate a closed waveguide mode that occupies the dispersion region outside the light line. The closed waveguide mode shifts gradually to a higher frequency band with a decreased gap size, while the bounded SSP mode line becomes lower. The effective excitation of the bounded SSP mode on this roofed metallic grating is also implemented and studied by using a particle-in-cell simulation studio. The output SSP power spectrums with various gap sizes by the same electron beam on this roofed metallic grating are obtained and analyzed. The simulation results reveal that the generated SSP spectra show a slight red shift with a decreased gap size. This work on the excitation of the SSP mode using an electron beam can benefit the development of high-power compact THz radiation sources by utilizing the strong near-field confinement of SSPs on metallic gratings.
Methylmercury Effect and Distribution in Two Extremophile Microalgae Strains Dunaliella salina and Coccomyxa onubensis from Andalusia (Spain)
Authors: Simansky Samuel , Holub Jiří , Márová Ivana , Cuaresma María , Garbayo Ines , Torronteras Rafael , Vílchez Carlos , Gojkovic Zivan
Published: February 2024

The main entrance point of highly toxic organic Hg forms, including methylmercury (MeHg), into the aquatic food web is phytoplankton, which is greatly represented by various natural microalgal species. Processes associated with MeHg fate in microalgae cells such as uptake, effects on cells and toxicity, Hg biotransformation, and intracellular stability are detrimental to the process of further biomagnification and, as a consequence, have great importance for human health. The study of MeHg uptake and distribution in cultures of marine halophile Dunaliella salina and freshwater acidophilic alga Coccomyxa onubensis demonstrated that most of the MeHg is imported inside the cell, while cell surface adhesion is insignificant. Almost all MeHg is removed from the culture medium after 72 h. Significant processes in rapid MeHg removal from liquid medium are its abiotic photodegradation and volatilization associated with algal enzymatic activity. The maximum intracellular accumulation for both species was in 80 nM MeHg-exposed cultures after 24 h of exposure for D. salina (from 27 to 34 µg/gDW) and at 48 h for C. onubensis (up to 138 µg/gDW). The different Hg intakes in these two strains could be explained by the lack of a rigid cell wall in D. salina and the higher chemical ability of MeHg to pass through complex cell wall structures in C. onubensis. Electron microscopy studies on the ultrastructure of both strains demonstrated obvious microvacuolization in the form of many very small vacuoles and partial cell membrane disruption in 80 nM MeHg-exposed cultures. Results further showed that Coccomyxa onubensis is a good candidate for MeHg-contaminated water reclamation due to its great robustness at nanomolar concentrations of MeHg coupled with its very high intake and almost complete Hg removal from liquid medium at the MeHg levels tested.
Plant-Based Films and Hydrogels for Wound Healing
Authors: Lopes Ana I. , Pintado Maria M. , Tavaria Freni K.
Published: February 2024

Skin is constantly exposed to injury and infectious agents that can compromise its structural integrity and cause wounds. When this occurs, microorganisms from the skin microbiota and external bacteria and fungi can penetrate the wound and cause an infection, which complicates the healing process. Nowadays, there are several types of wound dressings available to treat wounds, some of which are incorporated with antimicrobial agents. However, the number of microorganisms resistant to these substances is rising. Therefore, the search for new, natural alternatives such as essential oils (EOs) and plant extracts (PEs) is on the rise. However, these substances present some limitations (poor bioavailability and poor target capacity), which limits their efficiency. Their incorporation in formulations in the form of films and hydrogels (HGs) can help to overcome these issues and may be a potential alternative to the current treatments. HGs and films incorporated with PEs and EOs have antimicrobial activity, promote the viability of skin cells and fibroblast migration, and are non-toxic and biocompatible. This review discusses the use of films and HGs for the topical delivery of EOs and PEs for wound treatment and their formulations as effective wound dressings, while debating some mechanisms and biological properties to elucidate their presumptive clinical relevance and possible applications.
Using Discrete Element Method to Analyse the Drop Ball Test
Authors: Chimwani Ngonidzashe , Bwalya Murray Mulenga , Samukute Oliver Shwarzkopf
Published: February 2024

The drop ball test (DBT) is a common quality control procedure used in many grinding media manufacturing units to evaluate the quality of manufactured balls. Whilst DBTs have provided reasonable data over many years, the quantitative comparison of the energy that the balls are subjected to during the DBT and in high-impact loading environments such as semi-autogenous grinding (SAG) mills remains a grey area. To that end, DBT experiments were conducted, and the discrete element method (DEM) was used to assess the grinding media collision behaviour and the extent of ball impact loading to determine the impact energy spectra of the ball collisions. The impact energy spectra data obtained were used to quantify the energy that the grinding balls are exposed to in the DBT environment. The results showed that larger balls were exposed to relatively higher energy levels and had a higher probability of fracture than smaller balls. Furthermore, early ball breakage in a grinding environment is mostly attributed to the existence of imperfections or pre-existing defaults within the ball, whilst continuous wear is a gradual consequence that deplete balls in the mill.
An Efficient Explicit Moving Particle Simulation Solver for Simulating Free Surface Flow on Multicore CPU/GPUs
Authors: Zhao Yu , Jiang Fei , Mochizuki Shinsuke
Published: February 2024

The moving particle simulation (MPS) method is a simulation technique capable of calculating free surface and incompressible flows. As a particle-based method, MPS requires significant computational resources when simulating flow in a large-scale domain with a huge number of particles. Therefore, improving computational speed is a crucial aspect of current research in particle methods. In recent decades, many-core CPUs and GPUs have been widely utilized in scientific simulations to significantly enhance computational efficiency. However, the implementation of MPS on different types of hardware is not a trivial task. In this study, we present an implementation method for the explicit MPS that utilizes the Taichi parallel programming language. When it comes to CPU computing, Taichi’s computational efficiency is comparable to that of OpenMP. Nevertheless, when GPU computing is utilized, the acceleration of Taichi in parallel computing is not as fast as the CUDA implementation. Our developed explicit MPS solver demonstrates significant performance improvements in simulating dam-break flow dynamics.
An Efficient Approach to the Accurate Prediction of Mutational Effects in Antigen Binding to the MHC1
Authors: Zhou Mengchen , Zhao Fanyu , Yu Lan , Liu Jinfeng , Wang Jian , Zhang John Z. H.
Published: February 2024

The major histocompatibility complex (MHC) can recognize and bind to external peptides to generate effective immune responses by presenting the peptides to T cells. Therefore, understanding the binding modes of peptide–MHC complexes (pMHC) and predicting the binding affinity of pMHCs play a crucial role in the rational design of peptide vaccines. In this study, we employed molecular dynamics (MD) simulations and free energy calculations with an Alanine Scanning with Generalized Born and Interaction Entropy (ASGBIE) method to investigate the protein–peptide interaction between HLA-A*02:01 and the G9209 peptide derived from the melanoma antigen gp100. The energy contribution of individual residue was calculated using alanine scanning, and hotspots on both the MHC and the peptides were identified. Our study shows that the pMHC binding is dominated by the van der Waals interactions. Furthermore, we optimized the ASGBIE method, achieving a Pearson correlation coefficient of 0.91 between predicted and experimental binding affinity for mutated antigens. This represents a significant improvement over the conventional MM/GBSA method, which yields a Pearson correlation coefficient of 0.22. The computational protocol developed in this study can be applied to the computational screening of antigens for the MHC1 as well as other protein–peptide binding systems.
Design, Synthesis of Hydrogen Peroxide Response AIE Fluorescence Probes Based on Imidazo [1,2-a] Pyridine
Authors: Tong Luan , Yang Yulong , Zhang Likang , Tao Jiali , Sun Bin , Song Cairong , Qi Mengchen , Yang Fengqing , Zhao Mingxia , Jiang Junbing
Published: February 2024

Hydrogen peroxide (H2O2), a significant member of reactive oxygen species, plays a crucial role in oxidative stress and cell signaling. Abnormal levels of H2O2 in the body can induce damage or even impair body function, leading to the development of certain diseases. Therefore, real-time monitoring of H2O2 in living cells is very important. In this work, the aggregation-induced emission fluorescence probe 2-(2-((4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl) benzyl) oxy) phenyl) imidazo [1,2-a] pyridine (B2) was designed and synthesized, which enables the long-term tracing of H2O2 in living cells. The addition of H2O2 to probe B2 results in a dramatic fluorescence enhancement around 500 nm. Notably, B2 can visualize both exogenous and endogenous H2O2 in living cells. The synthesis method for B2 is simple, has a high yield, and utilizes readily available materials. It exhibits advantages such as low toxicity, photostability, and good biocompatibility. Consequently, the developed fluorescent probe in this study has great potential as a reliable tool for determining H2O2 in living cells.