bluuebunny/crossref_metadata_2025 huggingface dataset:
Understanding the Role of Oxidative Stress in Platelet Alterations and Thrombosis Risk among Frail Older Adults
Authors: Arauna Diego , Navarrete Simón , Albala Cecilia , Wehinger Sergio , Pizarro-Mena Rafael , Palomo Iván , Fuentes Eduardo
Published: September 2024

Frailty and cardiovascular diseases are increasingly prevalent in aging populations, sharing common pathological mechanisms, such as oxidative stress. The evidence shows that these factors predispose frail individuals to cardiovascular diseases but also increase the risk of thrombosis. Considering this background, this review aims to explore advances regarding the relationship between oxidative stress, platelet alterations, and cardiovascular diseases in frailty, examining the role of reactive oxygen species overproduction in platelet activation and thrombosis. The current evidence shows a bidirectional relationship between frailty and cardiovascular diseases, emphasizing how frailty not only predisposes individuals to cardiovascular diseases but also accelerates disease progression through oxidative damage and increased platelet function. Thus, oxidative stress is the central axis in the increase in platelet activation and secretion and the inadequate response to acetylsalicylic acid observed in frail people by mitochondrial mechanisms. Also, key biomarkers of oxidative stress, such as isoprostanes and derivate reactive oxygen metabolites, can be optimal predictors of cardiovascular risk and potential targets for therapeutic intervention. The potential of antioxidant therapies in mitigating oxidative stress and improving cardiovascular clinical outcomes such as platelet function is promising in frailty, although further research is necessary to establish the efficacy of these therapies. Understanding these mechanisms could prove essential in improving the health and quality of life of an aging population faced with the dual burden of frailty and cardiovascular diseases.
Green Light Exposure Reduces Primary Hyperalgesia and Proinflammatory Cytokines in a Rodent Model of Knee Osteoarthritis: Shedding Light on Sex Differences
Authors: Ventura Laura , do Espírito-Santo Renan F. , Keaser Michael , Zhang Youping , Ro Jin Y. , Da Silva Joyce T.
Published: September 2024

Knee osteoarthritis (OA) often causes chronic pain that disproportionately affects females. Proinflammatory cytokines TNF-α, IL-1β, and IL-6 are key effectors of OA pathological changes. Green light shows potential as an alternative intervention for various pain conditions. However, no studies have investigated green light′s analgesic effects in both sexes in chronic knee OA. We induced unilateral knee OA with intra-articular injection of monoiodoacetate (MIA) in male and female Sprague-Dawley rats. Two days post-injection, the rats were exposed to green-light-emitting diodes (GLED) or ambient room light eight hours daily for 24 days. Knee mechanical sensitivity was assessed using a small animal algometer. Blood serum concentrations of TNF-α, IL-1β, IL-6, and IL-10 were quantified at baseline and 23 days post-injection. MIA injection decreased the knee mechanical thresholds of the male and female rats. GLED exposure attenuated mechanical hypersensitivity in both sexes compared to the controls; however, GLED-induced analgesia occurred sooner and with greater magnitude in males than in females. In both sexes, the analgesic effects of green light lasted 5 days after the final GLED session. Finally, GLED exposure reversed the elevation of serum proinflammatory cytokines. These findings suggest that GLED exposure reduces primary hyperalgesia in OA, potentially by lowering proinflammatory cytokines, and indicate sex differences in GLED-induced analgesia.
Von Willebrand Factor Collagen-Binding Activity and Von Willebrand Factor-Mediated Platelet Adhesion in Patients with Coronary Artery Disease
Authors: Gabbasov Zufar , Okhota Sergey , Avtaeva Yuliya , Saburova Olga , Melnikov Ivan , Shtelmakh Valentina , Bazanovich Sergey , Guria Konstantin , Kozlov Sergey
Published: September 2024

In this study, we investigated von Willebrand factor (VWF)-related parameters in 30 patients with stable coronary artery disease (CAD) and 50 patients without CAD. In both groups, the following were measured: the VWF antigen level (VWF:Ag); the VWF ristocetin cofactor activity (VWF:RCo); the VWF collagen-binding activity (VWF:CB); and VWF-mediated platelet adhesion. Platelet adhesion was measured in whole blood at a shear rate of 1300 s−1 using a microfluidic chamber with a collagen-coated surface. VWF:Ag and VWF:RCo were found to be the same in both groups of patients. However, VWF:CB was found to be lower in patients with CAD compared with patients without CAD, with values of 106.7% (82.1; 131.6) and 160.4% (112.5; 218.1), respectively (p < 0.001). The decrease in platelet adhesion after GPIb inhibition was more pronounced in patients with CAD compared with patients of the control group, with recorded values of 76.0% (60.6; 82.1) and 29.3% (0.0; 60.4), respectively (p < 0.001). After adjusting for traditional risk factors, the odds ratio for CAD was found to be 0.98 (95% CI, 0.97–0.99; p = 0.011) per 1% increase in VWF:CB activity, and 1.06 (95% CI, 1.03–1.09; p < 0.001) per 1% decrease in GPIb-mediated platelet adhesion. The findings presented in this paper indicate a possible critical role played by complex VWF–collagen-platelet interactions in the development of CAD.
Angular Trajectory of the Vestibular Aqueduct in a Cohort of Chinese Patients with Unilateral Ménière’s Disease: Association with Other Imaging Indices and Clinical Profiles
Authors: Xia Kaijun , Lei Ping , Liu Yingzhao , Chen Cen , Xiao Hongjun , Leng Yangming , Liu Bo
Published: September 2024

Objective: We aimed to investigate the association between the angular trajectory of the vestibular aqueduct (ATVA) with other radiological parameters of temporal bone and clinical characteristics in patients with Ménière’s disease (MD). Methods: A total of 125 unilateral MD patients and 118 controls were enrolled. Computer tomography (CT)-based radiological parameters included ATVA, vestibular aqueduct (VA) visibility, VA morphology, the vertical part of the posterior semicircular canal—the posterior fossa distance (PPD), and peri-VA pneumatization. The clinical characteristics of MD patients included gender, age of diagnosis/onset, disease duration, migraine history, clinical staging, and the results of audio-vestibular tests. The radiological parameters and clinical characteristics in MD patients were compared. Results: Compared with control ears, ATVA ≥ 140° was more prevalent and ATVA ≤ 120° was less frequent in the MD-affected side. For the MD-affected side, MD patients with ATVA ≥ 140° exhibited more severe VA invisibility and obliteration and higher male preponderance than those with ATVA ≤ 120°. Other radio-clinical features did not differ between these two subgroups. Conclusion: In the current study, ATVA ≥ 140°, an indicator of a hypoplastic endolymphatic sac, was found in approximately one-third of the affected and unaffected ears of patients with MD, as well as in a minority of controls. This suggests that the indices may be a predisposing factor rather than a specific marker for the MD ear. The male preponderance in MD patients with hypoplastic ES suggests a gender difference in the anatomical factors for MD pathogenesis.
Increased Myocardial MAO-A, Atrogin-1, and IL-1β Expression in Transgenic Mice with Pancreatic Carcinoma—Benefit of MAO-A Inhibition for Cardiac Cachexia
Authors: Stelter Kira , Alabssi Annalena , Bonaterra Gabriel Alejandro , Schwarzbach Hans , Fendrich Volker , Slater Emily P. , Kinscherf Ralf , Hildebrandt Wulf
Published: September 2024

Cancer cachexia (CC) continues to challenge clinicians by massively impairing patients’ prognosis, mobility, and quality of life through skeletal muscle wasting. CC also includes cardiac cachexia as characterized by atrophy, compromised metabolism, innervation and function of the myocardium through factors awaiting clarification for therapeutic targeting. Because monoamine oxidase-A (MAO-A) is a myocardial source of H2O2 and implicated in myofibrillar protein catabolism and heart failure, we presently studied myocardial MAO-A expression, inflammatory cells, and capillarization together with transcripts of pro-inflammatory, -angiogenic, -apoptotic, and -proteolytic signals (by qRT-PCR) in a 3x-transgenic (LSL-KrasG12D/+; LSL-TrP53R172H/+; Pdx1-Cre) mouse model of orthotopic pancreatic ductal adenoarcinoma (PDAC) compared to wild-type (WT) mice. Moreover, we evaluated the effect of MAO-A inhibition by application of harmine hydrochloride (HH, 8 weeks, i.p., no sham control) on PDAC-related myocardial alterations. Myocardial MAO-A protein content was significantly increased (1.69-fold) in PDAC compared to WT mice. PDAC was associated with an increased percentage of atrogin-1+ (p < 0.001), IL-1β+ (p < 0.01), COX2+ (p < 0.001), and CD68+ (p > 0.05) cells and enhanced transcripts of pro-inflammatory IL-1β (2.47-fold), COX2 (1.53-fold), TNF (1.87-fold), and SOCS3 (1.64-fold). Moreover, PDAC was associated with a reduction in capillary density (−17%, p < 0.05) and transcripts of KDR (0.46-fold) but not of VEGFA, Notch1, or Notch3. Importantly, HH treatment largely reversed the PDAC-related increases in atrogin-1+, IL-1β+, and TNF+ cell fraction as well as in COX2, IL-1β, TNF, and SOCS3 transcripts, whereas capillary density and KDR transcripts failed to improve. In mice with PDAC, increased myocardial pro-atrophic/-inflammatory signals are attributable to increased expression of MAO-A, because they are significantly improved with MAO-A inhibition as a potential novel therapeutic option. The PDAC-related loss in myocardial capillary density may be due to other mechanisms awaiting evaluation with consideration of cardiomyocyte size, cardiac function and physical activity.
A Two-Hit Approach Inducing Flurothyl Seizures in Fmr1 Knockout Mice Impacts Anxiety and Repetitive Behaviors
Authors: Blandin Katherine J. , Narvaiz David A. , Sullens Donald Gregory , Womble Paige D. , Hodges Samantha L. , Binder Matthew S. , Faust Amanda , Nguyen Phuoc H. , Pranske Zachary J. , Lugo Joaquin N.
Published: September 2024

Background: Fragile X Syndrome (FXS) is the leading monogenetic cause of autism spectrum disorder (ASD) and is associated with seizures. We examined the impact of repeated seizures on the behavioral and molecular changes in male Fmr1 knockout (KO) mice and wild-type (WT) mice. Methods: Seizures were induced by administering three flurothyl seizures per day across postnatal days (PD) 7–11, for a total of 15 seizures. In adulthood, mice were tested in a battery of behavioral tasks to assess long-term behavioral deficits. Results: The two-hit impact of a Fmr1 knockout and seizures resulted in decreased anxiety-like behavior in the elevated plus maze test and a longer latency to their first nose poke (repetitive behavior). Seizures resulted in decreased activity, decreased repetitive behavior (grooming and rearings), and decreased social behavior, while they also increased habituation to auditory stimuli and increased freezing in delayed fear conditioning in both KO and control mice. KO mice displayed increased repetitive behavior in the open field task (clockwise revolutions) and repeated nose pokes, and decreased anxiety in the open field test. No differences in mTOR signaling were found. Conclusions: These findings further illuminate the long-term effects of synergistic impact of two hits on the developing brain.
A Machine Learning Approach to Classifying EEG Data Collected with or without Haptic Feedback during a Simulated Drilling Task
Authors: Ramirez Campos Michael S. , McCracken Heather S. , Uribe-Quevedo Alvaro , Grant Brianna L. , Yielder Paul C. , Murphy Bernadette A.
Published: September 2024

Artificial Intelligence (AI), computer simulations, and virtual reality (VR) are increasingly becoming accessible tools that can be leveraged to implement training protocols and educational resources. Typical assessment tools related to sensory and neural processing associated with task performance in virtual environments often rely on self-reported surveys, unlike electroencephalography (EEG), which is often used to compare the effects of different types of sensory feedback (e.g., auditory, visual, and haptic) in simulation environments in an objective manner. However, it can be challenging to know which aspects of the EEG signal represent the impact of different types of sensory feedback on neural processing. Machine learning approaches offer a promising direction for identifying EEG signal features that differentiate the impact of different types of sensory feedback during simulation training. For the current study, machine learning techniques were applied to differentiate neural circuitry associated with haptic and non-haptic feedback in a simulated drilling task. Nine EEG channels were selected and analyzed, extracting different time-domain, frequency-domain, and nonlinear features, where 360 features were tested (40 features per channel). A feature selection stage identified the most relevant features, including the Hurst exponent of 13–21 Hz, kurtosis of 21–30 Hz, power spectral density of 21–30 Hz, variance of 21–30 Hz, and spectral entropy of 13–21 Hz. Using those five features, trials with haptic feedback were correctly identified from those without haptic feedback with an accuracy exceeding 90%, increasing to 99% when using 10 features. These results show promise for the future application of machine learning approaches to predict the impact of haptic feedback on neural processing during VR protocols involving drilling tasks, which can inform future applications of VR and simulation for occupational skill acquisition.
Prompting Strategy Use and Beyond: Examining the Relationships between Elaboration, Quantity, and Diversity of Learning Strategies on Performance
Authors: Ruffin Makai A. , Tudor Ryann N. , Beier Margaret E.
Published: September 2024

Elaboration is a generative learning strategy wherein learners link prior knowledge and experiences with to-be-remembered information. It is positively related to an array of learning outcomes. However, most students do not independently use generative learning strategies. We explored whether prompting elaboration learning strategies when reading an academic passage influenced knowledge test performance. Participants were randomly assigned to two conditions: receiving a prompt (i.e., experimental; n = 94) and no prompt (i.e., control; n = 112). The results revealed that participants who received the elaboration prompt (M = 13.88, SD = 2.20) did not outperform learners who did not receive the prompt (M = 13.67, SD = 2.43) on the knowledge test. However, we did find a positive relationship between the extent of elaboration strategy use and knowledge test performance across conditions (r = 0.17, p < 0.05). Twelve themes emerged from an exploratory thematic analysis, wherein participants were asked about the learning strategies they used when reading the passage. Students used a variety of learning strategies unprompted, although 42.15% reported not using any additional learning strategies outside of the prompt or using low-utility learning strategies (e.g., relying on memory, skimming). Further exploratory analyses found that the quantity and diversity of learning strategies used individually influenced knowledge test performance. ANCOVA results revealed, however, that when controlling for quantity, the diversity of learning strategies used did not significantly influence knowledge test performance. Our findings contribute to prior literature by (1) demonstrating a relationship between elaboration strategy use and test performance, (2) highlighting learning strategies students use to retain information, and (3) exploring additional factors regarding learning strategy use that influence performance.
Chinese Consumers’ Attitudes toward and Intentions to Continue Using Skill-Sharing Service Platforms
Authors: Chen Yaxiao , Ryu Mi Hyun
Published: September 2024

The sharing economy has rapidly transformed traditional consumption patterns worldwide. The emergence of skill-sharing services—which allow individuals to share their skills, abilities, and time through online platforms—has recently garnered attention. In China, the demand for skill-sharing services continues to grow, as these services effectively meet consumer needs. To understand this growing demand, this study aims to explore users’ attitudes and intentions toward the use of skill-sharing service platforms in the Chinese market. A survey was conducted that incorporated 500 Chinese users who had used skill-sharing service platforms over the previous three months. A total of 409 datasets were analyzed, using structural equation modeling and multiple group analysis, in AMOS 24.0. The results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, and self-efficacy positively influenced users’ attitudes toward skill-sharing services, while privacy, functionality, and safety risks negatively affected these attitudes. Users’ attitudes toward skill-sharing services significantly enhanced their intentions to continue using them, with the level of trust playing a crucial moderating role between attitude and the intention to continue using these services. These findings provide a significant theoretical and practical foundation for the further development of skill-sharing service platforms, the optimization of marketing strategies, and future research.
The Association between Music Listening at Home and Subjective Well-Being
Authors: Shan Xin , Zhang Yan , Deng Jie , Ma Haixia , Hu Xiaoxi
Published: September 2024

This study examines the association between listening to music at home and subjective well-being, using data from 14,162 respondents in the China General Social Surveys conducted in 2015, 2017, and 2021. Among the respondents, the average happiness score was 3.958. Regression analyzes indicate that frequent music listening is significantly associated with higher happiness levels, with coefficients of 0.384 in the baseline model and 0.570 in the model with control variables. Robustness checks performed across different models support these findings. Instrumental variable analysis, using Mandarin proficiency, yielded a coefficient of 0.212, indicating a robust association despite a slight reduction in magnitude. Heterogeneity analyzes showed consistent associations across genders, religious beliefs, and regions, with slightly stronger associations observed for females and non-religious individuals. Mediation analysis identified mental health and class identity as significant mediators, contributing to a total association of 0.146. These results highlight the positive correlation between music listening and well-being, suggesting the potential value of integrating music resources into well-being strategies.
Sexual Excitation in Young Women with Different Levels of Sexual Satisfaction in Relationships: A Laboratory Study
Authors: Sánchez-Fuentes María del Mar , Álvarez-Muelas Ana , Cervilla Oscar , Granados Reina , Sierra Juan Carlos
Published: September 2024

Sexual satisfaction is an important dimension of sexual health. Despite there being evidence about its relations with sexual arousal, this association has not been addressed considering arousal as a trait and as a state. Therefore, the goal of this laboratory study was to examine, in young women with different levels of sexual satisfaction in their relationships, sexual arousal as a trait (i.e., propensity for sexual excitation/inhibition) and as a state (i.e., genital response and self-reported sexual arousal to a video with explicit sexual content). The sample was composed of 45 Spanish heterosexual women with a partner, from 18 to 25 years old. In the first phase, we evaluated the propensity for sexual inhibition/excitation and sexual satisfaction of the participants. In the second phase—in the context of a sexuality laboratory—the vaginal pulse amplitude, the rating of sexual arousal, and the rating of genital sensations were evaluated. The participants, distributed in three groups with different levels of sexual satisfaction (p < 0.001), were compared based on the different measures of sexual arousal. The results indicated that the group with lower sexual satisfaction, compared to the group with higher sexual satisfaction, reported more sexual inhibition due to the threat of performance failure (p = 0.011) and due to the threat of performance consequences (p = 0.038). However, no significant differences in sexual arousal status were found between the three groups. In conclusion, the negative association between sexual satisfaction and propensity for sexual inhibition in young women with a partner is supported, but not the positive association between trait/state sexual arousal and sexual satisfaction.
Maternal Perinatal Depression, Alexithymia, and Couple Functioning: Which Relationship Exists with Prenatal Attachment
Authors: Mangialavori Sonia , Fontana Andrea , Terrone Grazia , Topino Eleonora , Trani Lucrezia , Trincia Valeria , Lisi Giulia , Ducci Giuseppe , Cacioppo Marco
Published: September 2024

Background: Prenatal attachment refers to the affective investment that parents develop towards their unborn baby during pregnancy. Studies have identified depressive symptoms, affect dysregulation, and poor marital adjustment as potential risk factors for poor prenatal attachment. However, no research has concurrently examined these factors. This study aims to explore the simultaneous impact of depressive symptomatology, alexithymia, and couple functioning on prenatal attachment to develop a more comprehensive understanding of the factors shaping the emotional bond between expectant mothers and their fetuses. Methods: This cross-sectional study involved 344 women (mean age = 34.1, SD = 4.6) in their last trimester of pregnancy recruited from the National Health System. The participants completed the Edinburgh Postnatal Depression Scale, the Twenty-Item Toronto Alexithymia Scale, the Dyadic Adjustment Scale, and the Maternal Antenatal Attachment Scale. Results: Regression analyses indicated that perinatal depression and alexithymia negatively affected the Quality of Prenatal Attachment, while Dyadic Cohesion served as a protective factor. Conclusions: The results emphasize the need for early identification of perinatal depression and alexithymia, along with targeted interventions aimed at supporting Dyadic Cohesion during pregnancy. These efforts are crucial for fostering positive prenatal attachment and enhancing maternal mental health.
Exploring the Interplay between Stress Perception and Approach-Avoidance Achievement Goal Orientation among Rural Students in College: A Longitudinal Study in China
Authors: Luo Yunfeng , Gao Wenjuan , Liu Xinqiao
Published: September 2024

The objective of this study was to examine the relationship between stress perception and achievement goals among rural college students in China. Using a two-wave random intercept cross-lagged model, this study analyzed data from a longitudinal survey conducted at 15 public universities in Beijing. First, there was a significant decline in stress levels among Chinese rural students from their junior to senior years. Second, the achievement goal orientations of these students remained relatively stable during the period. Third, while no significant association was found between approach goals and stress perception, a clear positive reciprocal relationship emerged between avoidance goals and stress perception. These results suggest that educators should focus on alleviating the stress experienced by rural college students through academic, employment, and interpersonal support to break the vicious cycle of stress perception and avoidance goal orientation. Future research should further explore the influence of diverse group characteristics and emotional states on these outcomes.
Research on Outlier Detection Methods for Dam Monitoring Data Based on Post-Data Classification
Authors: Mao Yanpian , Li Jiachen , Qi Zhiyong , Yuan Jin , Xu Xiaorong , Jin Xinxin , Du Xuhuang
Published: September 2024

Safety monitoring of hydraulic structures is a critical task in the field of hydraulic engineering construction. This study developed a method for preprocessing and classifying monitoring data for the identification of gross errors in hydraulic structures. By utilizing linear regression and wavelet analysis techniques, it effectively differentiated various waveform characteristics in data sets, such as Sinusoidal Wave Cyclical, Triangular Wave Cyclical, Seasonal Cyclical, and Weakly Cyclical growth types. In the experiments for gross error identification, the 3σ algorithm, K-medoids algorithm, and Isolation Forest algorithm were applied to test the data. The results showed that the K-medoids algorithm excelled in processing Sinusoidal Wave Cyclical Data Sets; the 3σ algorithm adapted better to Triangular Wave Cyclical Data Sets; the Isolation Forest algorithm performed well in handling data sets with significant anomalies or atypical fluctuations and excelled in scenarios with strong seasonality and large data fluctuations; and for complex Weakly Cyclical Growth Data Sets, all three algorithms were less effective, indicating the potential need for more advanced analysis methods or a combination of multiple techniques. Testing on actual engineering data further confirmed the importance of using specific gross error identification techniques for special data types after data set pre-classification, providing a more effective technical solution for the safety monitoring of hydraulic structures.
Optimizing the Integration of Building Materials, Energy Consumption, and Economic Factors in Rural Houses of Cold Regions: A Pathway
Authors: Wang Hui , Liu Bo , Wu Weidong
Published: September 2024

Limited material options and economic conditions significantly restrict the potential for energy efficiency improvements in rural houses in China’s cold regions. It is worth exploring how to propose suitable energy-saving renovation plans for rural houses in cold regions under practical constraints. By using Grasshopper within Rhinoceros 8 software, an algorithm integrates material selection, energy consumption calculations, and economic analysis. The method efficiently generates thermal optimization schemes, providing insights into energy use, costs, and payback periods. In a case study of a typical rural house in Daqing City, the optimized scheme achieved over 70% energy savings compared to traditional homes, with renovation costs amounting to less than 40% of residents’ annual income and a 2-year payback period. This significant improvement highlights the potential of the proposed method in enhancing the energy efficiency and economic viability of rural house renovations.
Experimental Study on Mechanical Properties and Compressive Constitutive Model of Recycled Concrete under Sulfate Attack Considering the Effects of Multiple Factors
Authors: Gu Rui , Wang Jian , Li Benpeng , Qi Di , Gao Xiaohu , Yang Zhiyong
Published: September 2024

To investigate the mechanical properties and a compressive constitutive model of recycled concrete under sulfate attack considering the effects of multiple factors, two waste concrete strengths (i.e., C30 and C40), four replacement ratios of recycled coarse aggregates (i.e., 0, 30%, 50% and 100%), and two water–cement ratios (i.e., 0.50 and 0.60) were considered in this study, and a total of 32 recycled concrete specimens were designed and tested. The results indicated that the failure processes and patterns of recycled concrete were not significantly influenced by the replacement ratio of recycled coarse aggregates, the waste concrete strength, the water–cement ratio, or sulfate attack. The higher the replacement ratio of recycled coarse aggregates and the water–cement ratio and the lower the waste concrete strength, the more obvious the reduction in cubic compressive strength, with a maximum reduction of 38.48%. A prediction model for the cubic compressive strength of recycled concrete under sulfate attack was proposed. The higher the replacement ratio of recycled coarse aggregates and the water–cement ratio and the lower the waste concrete strength, the more significant the reduction in axial compressive strength, with a maximum reduction of 37.82%. A prediction model for the axial compressive strength of recycled concrete under sulfate attack was established. A compressive constitutive model of recycled concrete under sulfate attack considering the effects of the replacement ratio of recycled coarse aggregates, the waste concrete strength, and the water–cement ratio was established. The pore structure of recycled concrete was significantly destroyed by the expansion stress generated by Na2SO4 crystals: a large number of Na2SO4 crystals were attached to the surface of concrete matrix, and the concrete matrix became loose. The research results can provide a theoretical basis and data support for engineering applications of recycled concrete.
Long-Term Performance of Mortars with Combined Incorporation of Ladle Furnace Slag and Metakaolin
Authors: Silva Tayná , Souza Everton , Mariano Eduardo , Ferreira Gisleiva , Osório Wislei R.
Published: September 2024

Ladle furnace slag (LFS) is used as a supplementary cementitious material (SCM) due to its high calcium oxide (CaO) content. Its binding properties are enhanced in the presence of siliceous materials, such as metakaolin (MK), forming a ternary mixture that can directly replace ordinary Portland cement (OPC). However, despite this blend having already been evaluated in alkali-activated mixtures, knowledge about this mixture in situations of direct replacement of OPC by slag is still lacking. This study evaluates the synergistic effects of combining LFS and MK in cementitious mortars. Due to an insufficient hydration reaction observed in the short term, this study focuses on assessing the long-term performance of these mortars. Both the fresh and hardened states at 28 and 180 days are evaluated, and the resulting microstructural characteristics and constituent phases are also examined. After 180 days of curing, the mortar with MK exhibits superior binding activity compared to the results at 28 days. Although the nominal resistance does not show a clear advantage with the application of MK, a significant reduction in the porosity of the mortar is observed. Microstructural analysis indicates that the addition of MK increases the hydration compounds when mixed with LFS. Importantly, the sample containing MK and LFS showed a 42% reduction in cement consumption, highlighting the potential for resource efficiency. Thus, this study contributes to promoting a circular economy between the steelmaking and civil construction sectors.
Optimization of Ground Source Heat Pump System Based on TRNSYS in Hot Summer and Cold Winter Region
Authors: Zhang Hua , Hao Shuren , Wen Mingxing , Bai Ximin , Liu Lihong , Zhang Pengqiong
Published: September 2024

A cooling tower-assisted ground source heat pump system is proposed to solve the problem of soil heat accumulation in areas with hot summers and mild winters. TRNSYS is used to establish the simulation model of the ground source heat pump system. Taking the ground source heat pump demonstration project in Nanchang City as the research object, the operation effect of the ground source heat pump is simulated and analyzed. The key parameters of the optimization system are proposed, and the operation time of the cooling tower is controlled. The optimization results show that the cooling tower can not only improve the system performance in a short time but also enable long-term stable and efficient operation of the refrigeration system, the compound ground source heat pump system optimized by the cooling tower has almost no soil heat accumulation, and the system performance has been improved. The optimal running time of the cooling tower is 3216~4344 h and 5424~6696 h, and the system running effect is the best at this time. The research results can provide a theoretical basis for the optimal design of the cooling tower auxiliary ground source heat pump system.
Investigating Variations in Anthropogenic Heat Flux along Urban–Rural Gradients in 208 Cities in China during 2000–2016
Authors: Cui Ling , Chen Qiang
Published: September 2024

Anthropogenic heat emissions, which are quantified as anthropogenic heat flux (AHF), have attracted significant attention due to their pronounced impacts on urban thermal environments and local climates. However, there remains a notable gap in research regarding the distinctions in the distribution of anthropogenic heat emissions (AHEs) along urban–rural gradients. To address this gap, the present study introduces a new concept—the anthropogenic urban heat island (ArUHI)—where the AHF within urban areas is higher than that in background areas. To quantitatively describe the magnitude and spatial extent of the ArUHI effect, two metrics—namely, ArUHI intensity (ArUHII) and ArUHI footprint (ArUHIFP)—are introduced. We conducted a comprehensive study across 208 cities in China to investigate the spatiotemporal patterns of AHF variations along urban–rural gradients during the period of 2000–2016. In addition, we explored how the complex interactions between land cover and building form components affect changes in the AHF along urban–rural gradients. Additionally, we analyzed how economic zones and city sizes alter the ArUHI intensity and ArUHI footprint. The results showed that 97% (201/208) of Chinese cities exhibited a significant ArUHI effect from 2000 to 2016. The modeled ArUHI intensity value exhibited a substantial increase of nearly fivefold, increasing from 5.55 ± 0.19 W/m2 to 26.84 ± 0.99 W/m2 over time. Regarding the spatial distribution of the ArUHI footprint, the analysis revealed that, for the majority of cities (86% or 179 out of 208), the ArUHI footprint ranged from 1.5 to 5.5 times that in urban areas. City sizes and economic zones yielded significant influences on the ArUHI intensity and ArUHI footprint values. Building forms were significantly positively correlated with AHF, with R2 values higher than 0.94. This study contributes to the understanding of ArUHI effects and their driving factors in China, providing valuable insights for urban climate studies and enhancing our understanding of surface urban heat island mechanisms.
Seismic Behavior of Cluster-Connected Prefabricated Shear Walls under Different Axial Compression Ratios
Authors: Zhang Libo , Liu Guangdong , Liu Guang , Xin Huiyun , Cai Jianguo , Satyanaga Alfrendo , Zhang Ruize , Dai Guoliang
Published: September 2024

This study analyzes the nonlinear seismic behavior of cluster-connected prefabricated shear walls under varying axial compression ratios. The investigation focuses on the connectivity of shear wall segments assembled using cluster connections rather than separate walls connected by beams. Using the finite element software ABAQUS, this study simulates monotonic horizontal displacement loading to evaluate the yield strength, peak strength, and deformation capacity of the shear walls. The results demonstrate that the horizontal load-bearing capacity of the shear wall significantly improves with an increase in axial compression ratio, while the axial compression ratio also influences ductility. The numerical simulations are validated against experimental data, confirming the accuracy of the model. These findings provide essential insights for optimizing the seismic design of precast shear walls.
The Impact of the Physical Environment on Staff in Healthcare Facilities: A Systematic Literature Review
Authors: Shetty Roshan S. , Kamath Giridhar B. , Rodrigues Lewlyn L. R. , Nandineni Rama Devi , Shetty Sham Ranjan
Published: September 2024

This article investigates the staff outcomes that are influenced by physical environment features in a healthcare facility. Over the past few decades, research on the physical environment and its effects on hospital staff has advanced steadily. Focusing on the physical environment has become a research area with great potential because it is crucial to provide a favorable work environment for health professionals, which directly impacts the quality of care. A systematic literature review was conducted to identify research articles from two scientific databases and a healthcare journal. Articles that fulfilled the inclusion and exclusion criteria for relevant articles were included in this review. Relevant data were derived from the final shortlisted articles. The features identified in the articles were divided into three dimensions of the physical environment. The results demonstrate different outcomes for staff. This review shows the need to develop a comprehensive study involving the most important features of the three dimensions of the physical setting and its effects on staff. This study contributes invaluable insights for hospital administrators, architects, and designers by informing them about the critical factors shaping the healthcare workplace environment.
The Ubiquitin-Conjugating Enzyme E2 O (UBE2O) and Its Therapeutic Potential in Human Leukemias and Solid Tumors
Authors: Maffeo Beatrice , Cilloni Daniela
Published: September 2024

Protein degradation is a biological phenomenon essential for cellular homeostasis and survival. Selective protein degradation is performed by the ubiquitination system which selectively targets proteins that need to be eliminated and leads them to proteasome degradation. In this narrative review, we focus on the ubiquitin-conjugating enzyme E2 O (UBE2O) and highlight the role of UBE2O in many biological and physiological processes. We further discuss UBE2O’s implications in various human diseases, particularly in leukemias and solid cancers. Ultimately, our review aims to highlight the potential role of UBE2O as a therapeutic target and offers new perspectives for developing targeted treatments for human cancers.
Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of H2 and H2O
Authors: Baier Dominik , Krüger Alexander , Wagner Thorsten , Tiemann Michael , Weinberger Christian
Published: September 2024

Clean hydrogen is a key aspect of carbon neutrality, necessitating robust methods for monitoring hydrogen concentration in critical infrastructures like pipelines or power plants. While semiconducting metal oxides such as In2O3 can monitor gas concentrations down to the ppm range, they often exhibit cross-sensitivity to other gases like H2O. In this study, we investigated whether cyclic optical illumination of a gas-sensitive In2O3 layer creates identifiable changes in a gas sensor’s electronic resistance that can be linked to H2 and H2O concentrations via machine learning. We exposed nanostructured In2O3 with a large surface area of 95 m2 g−1 to H2 concentrations (0–800 ppm) and relative humidity (0–70%) under cyclic activation utilizing blue light. The sensors were tested for 20 classes of gas combinations. A support vector machine achieved classification rates up to 92.0%, with reliable reproducibility (88.2 ± 2.7%) across five individual sensors using 10-fold cross-validation. Our findings suggest that cyclic optical activation can be used as a tool to classify H2 and H2O concentrations.
Ultrasound Diagnosis of Clavicle Fractures in Newborns: A Systematic Review
Authors: Galimberti Luca , Garbetta Gisella , Poloniato Antonella , Rovelli Rosanna , Barera Graziano , Guindani Nicola , De Pellegrin Maurizio
Published: September 2024

Background: Fractures of the clavicle are the most common birth injury among newborns. Aim of this systematic review was to provide a comprehensive analysis of the role of ultrasound (US) in diagnosing clavicular fractures in neonates. Methods: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) using PubMed and Embase, including studies focusing on US in neonatal clavicle fracture. Age at US, number of cases examined by US and X-ray, US and X-ray diagnoses, US probe used, fracture site were systematically extracted. Results: A total of 231 articles were found. We ultimately selected 7 publications that satisfied the inclusion criteria, involving 136 patients examined between 3 days and 3 weeks of age, with 135 confirmed fractures. US was performed on all patients and correctly diagnosed all fractures (135/135, 100%). X-ray was performed on 94/136 patients (69.1%) and correctly diagnosed 89/93 fractures (95.7%). Fracture site was: medial in 2/79, middle in 37/79, and lateral in 40/79. In the remaining 57 cases, site was not reported. Conclusions: This review indicates that ultrasound is extremely reliable in diagnosing clavicle fractures in newborns and should be considered as the gold standard in this context.
Accuracy Analysis of Digital Models from Intraoral Scanners and 3D-Printed Casts in Children and Teenagers
Authors: Serrano-Velasco Diego , Martín-Vacas Andrea , Giovannini Giovanni , Paz-Cortés Marta Macarena , Aragoneses Juan Manuel
Published: September 2024

Purpose: The aim was to analyze the accuracy of digital models and 3D-printed casts from full-arch digital impressions using two intraoral scanners (iTeroTM and PrimescanTM). Materials and methods: A crossover reliability study was designed, scanning children and teenagers with iTeroTM and PrimescanTM. Accuracy was evaluated by measuring intercanine, intermolar, and ipsilateral canine–molar distances intraorally and comparing these measurements with those from plaster casts, digital models obtained with intraoral scanners, and 3D-printed casts. A paired comparison and a general linear model with a one-way repeated measures ANOVA procedure were carried out with a confidence level of 95% (p ≤ 0.05). Results: A total of 51 subjects were analyzed (mean age 12.35 ± 2.57). Statistical differences (p < 0.05) were found in the upper and lower arch regarding accuracy in comparison to intraoral measurements, except for the iTeroTM-printed cast and canine–molar upper right and intercanine lower distances (p > 0.05 for all comparisons). Regarding a comparison between reproduction methods, the plaster cast oversized the intercanine upper distance in comparison with both intraoral scanners’ digital models and the PrimescanTM-printed cast (p = 0.001), but there were no differences in the lower arch (p > 0.05 for all comparisons). Conclusion: Intraoral scanners reproduce tooth structures with similar accuracy to conventional methods.
PyIncentiveBC: A Python Module for Simulation of Incentivization Mechanism Implemented in Blockchain-Based Systems
Authors: Ouaguid Abdellah , Hanine Mohamed , Chiba Zouhair , Abghour Noreddine , Ouzzif Mohammed
Published: September 2024

The diversity of approaches for retaining participants in a Blockchain-based system complicates benchmarking. The majority of proposals for rewarding and penalizing participants in these systems are limited to their own set of data and scenarios, making it hard to compare their effectiveness. To overcome these challenges, we developed PyIncentiveBC, a free, open-source, and modular simulator designed to evaluate the reliability of any approach, incorporating a dynamic and proportionate incentivization mechanism proposed in our previous work. PyIncentiveBC aims to provide the scientific communities with an extensible software solution facilitating the benchmarking of existing approaches with new ones proposed by them.
Phosphate Turnover in Various Parts of Nodulated Soybean (Glycine max (L.) Merr.) Plants and the Relation to the Xylem Transport
Authors: Yamamura Yoshiaki , Higuchi Kyoko , Saito Akihiro , Ohyama Takuji
Published: September 2024

Phosphorus is a major essential element in plants, and the absorption and transport of P are related to crop growth and productivity. Phosphate (Pi) is absorbed in the roots and transported to the shoot. Plants store surplus Pi in the vacuoles. The characteristics of Pi storage and turnover in various parts of the nodulated soybeans might be related to plant growth and P-use efficiency. This research focused on the changes in the Pi concentrations and Pi contents in each part of young soybean plants grown in Pi-sufficient (50 μM Pi) or Pi-deficient (0 μM Pi) conditions. Also, the Pi flux rate in xylem sap from roots to shoot was determined. The growth of the plants was the same after 7 days of Pi-sufficient and Pi-deficient treatments. During the Pi-deficient period, the Pi concentrations in the roots, leaves, and stems decreased significantly but did not deplete. The decrease in Pi concentration in nodules was much slower than the other parts. After the re-supply of 50 μM Pi in the solution, the Pi concentration increased only a little in each part of the Pi-deficient plants. The Pi concentration and Pi flux in the xylem sap quickly responded to the changes in the Pi concentration in the culture solution.
Arachnid Assemblage Composition Diverge between South- and North-Facing Slopes in a Levantine Microgeographic Site
Authors: Finkel Meir , Ben-Asher Amit , Shmula Gur , Armiach Steinpress Igor , Ganem Zeana , Hammouri Rami , Garcia Erika , Szűts Tamás , Gavish-Regev Efrat
Published: September 2024

Local microgeographic sites subdivided by sharp ecological and climatic contrasts are important platforms for measuring biodiversity patterns and inferring the possible effect of climatic and ecological variables on species distributions and habitat use. Here, we report results from 24 months (September 2019–August 2021) of continuous pitfall trapping collection in Lower Nahal Keziv, Western Upper Galilee, Israel (“Evolution Canyon” II (hereafter—EC II)). This site receives an average annual rainfall of 784 mm and contains two slopes that differ markedly by solar radiation and plant formation. The first is the south-facing slope (SFS), which is characterized as a semiarid garrigue and open grassland. The second is the contrasting north-facing slope (NFS), which is characterized by a more humid East Mediterranean forest. The slopes are separated by a narrow valley bottom (VB). Analysis of ca. 1750 arachnid specimens, collected from 70 pitfall traps along the slopes and valley, indicates significantly different arachnid assemblages between the NFS and SFS, likely due to the differences in solar radiation that affect plant-cover percentage, which in turn affects the arachnid assemblage composition. In addition to 98 arachnid taxa collected and identified to species and morphospecies level, this study resulted in the discovery of two species new to science, which are described as part of this publication (100 arachnid species and 11 additional taxa that were not identified to species, a total of 111 taxa). Our study, moreover, contributes new ecological data on the spatial and temporal distribution of arachnids, and therefore attests to the importance of year-round sampling in an understudied region. Overall, our study enables a better understanding of arachnid diversity and their distributions and serves as a reference for future research aimed at testing the effect of climate change and other environmental factors that influence arachnid assemblages in natural habitats.