The origin of this article lies in the concurrent existence of multiple religious groups in the United States and the interactions between them. This essay examines the dynamics of religious pluralism through the interaction of two religious groups—African Americans and Jews—in the realms [...] Read more.

The origin of this article lies in the concurrent existence of multiple religious groups in the United States and the interactions between them. This essay examines the dynamics of religious pluralism through the interaction of two religious groups—African Americans and Jews—in the realms of religion, society, and politics. Among the diverse religious groups in the United States, the growing presence of Jews, bolstered by migration from Germany in the 19th century and from Eastern Europe in the 20th century, introduced new traditions and significantly contributed to the development of religious experimentation among African Americans. The phenomenon of African American communities embracing Judaism exemplifies how religious pluralism and diaspora intersect to produce new forms of religious and cultural identity. These communities challenge traditional notions of both Jewishness and African Americanness, demonstrating the fluidity of identity in diasporic contexts.Full article

Supplementary material:
Supplementary File 1 (ZIP, 1182 KiB)

The bacterial flagellum, a complex nanomachine composed of numerous proteins, is utilized by bacteria for swimming in various environments and plays a crucial role in their survival and infection. The flagellar motor is composed of a rotor and stator complexes, with each stator [...] Read more.

The bacterial flagellum, a complex nanomachine composed of numerous proteins, is utilized by bacteria for swimming in various environments and plays a crucial role in their survival and infection. The flagellar motor is composed of a rotor and stator complexes, with each stator unit functioning as an ion channel that converts flow from outside of cell membrane into rotational motion.Paenibacillus sp. TCA20 was discovered in a hot spring, and a structural analysis was conducted on the stator complex using cryo-electron microscopy to elucidate its function. Two of the three structures (Classes 1 and 3) were found to have structural properties typical for other stator complexes. In contrast, in Class 2 structures, the pentamer ring of the A subunits forms a C-shape, with lauryl maltose neopentyl glycol (LMNG) bound to the periplasmic side of the interface between the A and B subunits. This interface is conserved in all stator complexes, suggesting that hydrophobic ligands and lipids can bind to this interface, a feature that could potentially be utilized in the development of novel antibiotics aimed at regulating cell motility and infection.Full article

Dexterous robotic grasping with multifingered hands remains a critical challenge in non-visual environments, where diverse object geometries and material properties demand adaptive force modulation and tactile-aware manipulation. To address this, we propose the Reinforcement Learning-Based Multimodal Perception (RLMP) framework, which integrates human-like grasping [...] Read more.

Dexterous robotic grasping with multifingered hands remains a critical challenge in non-visual environments, where diverse object geometries and material properties demand adaptive force modulation and tactile-aware manipulation. To address this, we propose the Reinforcement Learning-Based Multimodal Perception (RLMP) framework, which integrates human-like grasping intuition through operator-worn gloves with tactile-guided reinforcement learning. The framework’s key innovation lies in its Tactile-Driven DCNN architecture—a lightweight convolutional network achieving 98.5% object recognition accuracy using spatiotemporal pressure patterns—coupled with an RL policy refinement mechanism that dynamically correlates finger kinematics with real-time tactile feedback. Experimental results demonstrate reliable grasping performance across deformable and rigid objects while maintaining force precision critical for fragile targets. By bridging human teleoperation with autonomous tactile adaptation, RLMP eliminates dependency on visual input and predefined object models, establishing a new paradigm for robotic dexterity in occlusion-rich scenarios.Full article

Background/Objectives: Extracellular volume (ECV) of the myocardium, a biomarker of interstitial space and fibrosis, plays a critical role in cardiac disease diagnosis and prognosis. Although cardiac magnetic resonance imaging (MRI) is the gold standard for ECV assessment, computed tomography (CT) offers a [...] Read more.

Background/Objectives: Extracellular volume (ECV) of the myocardium, a biomarker of interstitial space and fibrosis, plays a critical role in cardiac disease diagnosis and prognosis. Although cardiac magnetic resonance imaging (MRI) is the gold standard for ECV assessment, computed tomography (CT) offers a viable alternative, particularly in patients with contraindications to MRI. This study aimed to assess whether CT-derived ECV is systematically elevated in cardiac diseases associated with myocardial fibrosis.Methods: A systematic search of PubMed and Web of Science up to January 2023 identified 364 studies, including 16 from registers and 4 from manual searches. After exclusions, 73 studies were included in the systematic review. Of these, 15 provided quantitative data on group sizes, mean ECV values, standard deviations, and imaging modalities (CTA, DECT, LIE-DECT) and were analyzed in the meta-analysis. Standardized mean differences (SMD) were calculated usingCochrane Handbook formulas. Statistical analyses employed random-effects models (R version 4.4.2).Results: The pooled analysis showed that ECV was significantly higher in pathological groups compared to controls (SMD 1.60; 95% CI: 1.23–1.96; I² = 84.6%). Elevated ECV correlated with worse clinical outcomes, including higher mortality in heart failure and advanced myocardial fibrosis in amyloidosis and cardiomyopathies. Subgroup analyses demonstrated that advanced CT techniques (DECT, LIE-DECT) and CTA provided comparable diagnostic accuracy.Conclusions: CT-derived ECV is a reliable, non-invasive marker of myocardial fibrosis, offering diagnostic and prognostic value similar to MRI. Standardizing CT protocols and conducting multicenter studies are essential to validate its broader clinical application.Full article

This study seeks to quantify the rising financial linkages between mainland China, Australia, Hong Kong, New Zealand, and the six largest Association of Southeast Asian Nations (ASEAN group). Stock market co-movements would be consistent with growing trade ties. Our sample runs from 2010 [...] Read more.

This study seeks to quantify the rising financial linkages between mainland China, Australia, Hong Kong, New Zealand, and the six largest Association of Southeast Asian Nations (ASEAN group). Stock market co-movements would be consistent with growing trade ties. Our sample runs from 2010 through 2022, including the coronavirus pandemic. Markov switching analysis allows for changing effects as we move from periods of low market volatility to periods of high volatility. The results offer support for the premise that growing trade and investment ties between China, Australasia, Hong Kong, and the ASEAN region have been accompanied by significant financial market integration, as reflected in stock market co-movement. US effects are also significant and tend to be stronger during high-volatility episodes. Under low-volatility conditions, Shanghai effects become more important and are significant for all six ASEAN group countries.Full article

Supplementary material:
Supplementary File 1 (ZIP, 1935 KiB)

Background: Childhood malnutrition remains a significant global public health concern. The Demographic and Health Surveys (DHS) program provides specific data on child health across numerous countries. This meta-analysis aims to comprehensively assess machine learning (ML) applications in DHS data to predict malnutrition in [...] Read more.

Background: Childhood malnutrition remains a significant global public health concern. The Demographic and Health Surveys (DHS) program provides specific data on child health across numerous countries. This meta-analysis aims to comprehensively assess machine learning (ML) applications in DHS data to predict malnutrition in children. Methods: A comprehensive search of the peer-reviewed literature in PubMed, Embase, and Scopus databases was conducted in January 2024. Studies employing ML algorithms on DHS data to predict malnutrition in children under 5 years were included. Using PROBAST (Prediction model Risk Of Bias Assessment Tool), the quality of the listed studies was evaluated. To conduct meta-analyses, Review Manager 5.4 was used. Results: A total of 11 out of 789 studies were included in this review. The studies were published between 2019 and 2023, with the major contribution from Bangladesh (n = 6, 55%). Of these, ten studies reported stunting, three reported wasting, and four reported underweight. A meta-analysis of ten studies reported a pooled accuracy of 68.92% (95% CI: 66.04, 71.80; I² = 100%) among ML models for predicting stunting in children. Three studies indicated a pooled accuracy of 84.39% (95% CI: 80.90, 87.87; I² = 100%) in predicting wasting. A meta-analysis of four studies indicated a pooled accuracy of 73.60% (95% CI: 70.01, 77.20; I² = 100%) for ML models predicting underweight status in children. Conclusions: This meta-analysis indicated that ML models were observed to have moderate to good performance metrics in predicting malnutrition using DHS data among children under five years.Full article

Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. This research is focused on developing a methodology to correct grammatical errors in the Romanian language, a less-resourced language for which there [...] Read more.

Nowadays, grammatical error correction (GEC) has a significant role in writing since even native speakers often face challenges with proficient writing. This research is focused on developing a methodology to correct grammatical errors in the Romanian language, a less-resourced language for which there are currently no up-to-date GEC solutions. Our main contributions include an open-source synthetic dataset of 345,403 Romanian sentences, a manually curated dataset of 3054 social media comments, a two-phased GEC approach, and a comparison with several Romanian models, including RoMistral and RoLama3, but also LanguageTool, GPT-4o mini, and GPT-4o. We consider a synthetic dataset to finetune our models, while we rely on two real-life datasets with genuine human mistakes (i.e., CNA and RoComments) to evaluate performance. Building an artificial dataset was necessary because of the scarcity of real-life mistake datasets, whereas introducing RoComments, a new genuine dataset, is argued by the necessity to cover errors amongst native speakers encountered in social media comments. We also introduce a two-phased approach, where we first identify the location of erroneous tokens in the sentence; next, the erroneous tokens are replaced by an encoder–decoder model. Our approach achieved an$F_{0.5}$ of 0.57 on CNA and 0.64 on RoComments, surpassing by a considerable margin LanguageTool as well as an end-to-end version based on Flan-T5 and mT0 in most setups. While our two-phased method did not outperform GPT-4o, arguably by its smaller size and language exposure, it obtained on-par results with GPT-4o mini and achieved higher performance than all Romanian LLMs.Full article

Supplementary material:
Supplementary File 1 (ZIP, 119 KiB)

Objective: This study aimed to review the structural concepts, definition, classification, and macronutrient and food composition of carbohydrate-restricted diets (CRDs) for individuals with type 2 diabetes mellitus (T2DM).Methods: A scoping review was conducted following Joanna Briggs Institute guidelines. Searches were performed in [...] Read more.

Objective: This study aimed to review the structural concepts, definition, classification, and macronutrient and food composition of carbohydrate-restricted diets (CRDs) for individuals with type 2 diabetes mellitus (T2DM).Methods: A scoping review was conducted following Joanna Briggs Institute guidelines. Searches were performed in Scopus, PubMed, Web of Science, and Embase, including texts published in Portuguese, English, and Spanish. Official documents from governments, regulatory agencies, and international diabetes organizations were also consulted.Results: In total, 79 articles and 17 official documents were analyzed. The following structural concept was identified: restricted carbohydrate intake decreases the need for endogenous and exogenous insulin, contributing to the maintenance of glycemic control, and justifies its consideration among the nutritional therapy options for individuals with T2DM. CRDs varied in definition, classification, and macronutrient composition. Studies failed to provide detailed information on the food composition of diets, precluding an in-depth understanding of metabolic effects. The existence of several approaches with varying recommendations makes it difficult to generalize the results. International CRD guidelines for T2DM adopt divergent definitions, compromising interpretation, recommendation, and even adherence.Conclusions: Although the concept of CRDs justifies their adoption within the nutritional therapy choices for T2DM, the multiple denominations can hinder understanding and comparison between studies. The lack of information on food composition and carbohydrate types compromises the assessment of the effects and adherence to CRD-based nutritional interventions. We emphasize the need for methodologically consistent studies that evaluate CRDs based on fresh and minimally processed foods with a low glycemic index to support official diabetes guidelines and organizations.Full article

Hydrogels are promising materials for biomedical applications due to their tunable properties. Despite significant research on optimizing the mechanical and rheological properties of chitosan hydrogels, a comprehensive analysis incorporating pH and molarity of the neutralizing solution is still lacking. This study addresses this [...] Read more.

Hydrogels are promising materials for biomedical applications due to their tunable properties. Despite significant research on optimizing the mechanical and rheological properties of chitosan hydrogels, a comprehensive analysis incorporating pH and molarity of the neutralizing solution is still lacking. This study addresses this gap by evaluating how these factors influence the rheological characteristics of chitosan hydrogels. The hydrogels were prepared using an acidic blend and were neutralized with sodium hydroxide solutions. Rheological characterization demonstrated that all samples exhibited pseudoplastic behavior, with viscosity decreasing under shear stress. Hydrogels with higher pH values exhibited lower viscosity, which is attributed to the reduced protonation and weaker electrostatic repulsion between chitosan chains. In contrast, more acidic conditions resulted in increased viscosity and greater chain entanglements. NaOH concentration impacted gel stability; lower concentrations resulted in more stable gels, whereas higher concentrations increased crosslinking but compromised integrity at elevated pH. These findings provide essential insights for optimizing chitosan hydrogels with customized properties, making them highly suitable for specific biomedical applications, such as advanced 3D-printed wound dressings.Full article

Modern utility-scale wind turbines are evolving toward larger, lighter, and more flexible designs to meet the growing demand for renewable energy while minimizing logistical costs. However, these advancements in lightweight design result in heightened aeroelastic sensitivity, leading to complex interactions which affect the [...] Read more.

Modern utility-scale wind turbines are evolving toward larger, lighter, and more flexible designs to meet the growing demand for renewable energy while minimizing logistical costs. However, these advancements in lightweight design result in heightened aeroelastic sensitivity, leading to complex interactions which affect the rotor’s capacity to withstand aerodynamic loading and the cascading effects that manifest in the wake’s vortex-structure evolution under variable atmospheric conditions. In this paper, we analyze the influence of stream-wise fluctuating atmospheric flow conditions on wind turbines with large, flexible rotors through simulations of the National Rotor Testbed (NRT) turbine, located at Sandia National Labs’ Scaled Wind Farm Technology (SWiFT) facility in Lubbock, Texas. The Common Ordinary Differential Equation Framework (CODEF) modeling suite is used to simulate wind turbine aeroelastic oscillatory behavior and wind farm vortex–wake interactions for a range of conditions with spatially variant atmospheric flow. CODEF solutions for turbine operation in wind conditions featuring only one parameter fluctuation are compared to wind conditions with several wind parameter variations in combination. By isolating individual inflow variations and comparing them to multi-parameter scenarios, we determine the contributions of each atmospheric factor to rotor dynamics, wake evolution, and downstream wind farm interactions. The purpose of this paper is to analyze the effects of spatial variations in atmospheric flow on the topological evolution of wind turbine vortex wakes, which constitutes a gap in the current understanding of wind turbine wake dynamics. The insights gained from this study are particularly valuable for the development of wind farm control strategies aimed at mitigating the adverse effects of wake interactions, enhancing energy capture, and improving the overall stability of wind farm operations. With these insights, we aim to contribute to the development of modeling and simulation tools to optimize utility-scale wind power plants operating in diverse atmospheric environments.Full article

Supplementary material:
Supplementary File 1 (ZIP, 403 KiB)

Background: Modulating spontaneous neuronal activity is critical for understanding and potentially treating neurological disorders, yet the comparative effects of different non-invasive brain stimulation techniques remain underexplored.Objective: This study aimed to systematically compare the effects of temporal interference (TI) stimulation and high-definition transcranial [...] Read more.

Background: Modulating spontaneous neuronal activity is critical for understanding and potentially treating neurological disorders, yet the comparative effects of different non-invasive brain stimulation techniques remain underexplored.Objective: This study aimed to systematically compare the effects of temporal interference (TI) stimulation and high-definition transcranial direct current stimulation (HD-tDCS) on spontaneous neuronal activity in the primary motor cortex.Methods: In a randomized, crossover design, forty right-handed participants underwent two 20 min sessions of either TI or HD-tDCS. Resting-state fMRI data were collected at four stages: pre-stimulus baseline (S1), first half of stimulation (S2), second half of stimulation (S3), and post-stimulation (S4). We analyzed changes in regional homogeneity (ReHo), dynamic ReHo (dReHo), fractional amplitude of low-frequency fluctuations (fALFFs), and dynamic fALFFs (dfALFFs) to assess the impact on spontaneous neuronal activity.Results: The analysis revealed that TI had a more significant impact on ReHo, especially in the left superior temporal gyrus and postcentral gyrus, compared with HD-tDCS. Both stimulation methods exhibited their strongest effects during the second half of the stimulation period, but only TI maintained significant activity in the post-stimulation phase. Additionally, both TI and HD-tDCS enhanced fALFFs in real-time, with TI showing more pronounced effects in sensorimotor regions.Conclusions: These findings suggest that TI exerts a more potent and sustained influence on spontaneous neuronal activity than HD-tDCS. This enhanced understanding of their differential effects provides valuable insights for optimizing non-invasive brain stimulation protocols for therapeutic applications.Full article

China’s offshore heavy oil resources are abundant but underutilized. Circulating steam stimulation enhances production while increasing casing failure risks in thermal recovery wells. Accurately assessing casing performance after repeated thermal cycles is crucial for ensuring wellbore integrity. This paper presents tensile and creep [...] Read more.

China’s offshore heavy oil resources are abundant but underutilized. Circulating steam stimulation enhances production while increasing casing failure risks in thermal recovery wells. Accurately assessing casing performance after repeated thermal cycles is crucial for ensuring wellbore integrity. This paper presents tensile and creep experiments on TP110H casing under cyclic temperatures. The temperature distribution within the “casing-cement sheath-stratum” system is derived using heat transfer theory. Stress and displacement equations are established based on thick-walled cylinder theory and thermo-elasticity. Thermal coupling analysis assesses casing stress in straight, inclined, and sidetrack well sections. Key factors, including steam injection pressure, in situ stress, cement modulus, and prestress, are analyzed for their effects on cumulative strain below the packer. Strain-based methods evaluate casing safety. Results show that under thermal cycling at 350 °C, after 16 cycles, the casing’s elastic modulus, yield strength, and tensile strength decrease by 15.3%, 13.1%, and 10.1%, respectively, while the creep rate increases by 16.0%. Above the packer, the casing remains safe, but the lower section may be at risk. Using low-elasticity cement, higher steam injection pressure, and prestressing can help improve casing performance. This study provides guidance on enhancing casing safety and optimizing steam stimulation parameters.Full article

Recent years have seen a surge in study interest in acoustic temperature measurement because of its exceptional non-invasiveness, high precision, and fast response characteristics. Its main benefit is that it may rely on the temperature field reconstruction technique to obtain the entire temperature [...] Read more.

Recent years have seen a surge in study interest in acoustic temperature measurement because of its exceptional non-invasiveness, high precision, and fast response characteristics. Its main benefit is that it may rely on the temperature field reconstruction technique to obtain the entire temperature distribution information, circumventing the limitations of point-type thermometry. Studies have shown that the acoustic wave transducer topology is a key factor affecting the reconstruction effect. In engineering, a simple uniform placement or trial-and-error methods are often used to determine the transducer topology. However, these approaches lack adaptability in complex temperature fields, resulting in poor accuracy and stability. In this paper, based on the previous research on high-precision temperature field reconstruction algorithms, an adaptive optimization method of acoustic temperature measurement topology based on multiple sub-objectives is proposed. The method further improves the reconstruction of asymmetric complex temperature fields by constructing a new optimization variable and a new optimization objective. Comparison experiments with existing optimization methods demonstrate the effectiveness of the new variables and objectives. Additionally, the reconstruction performance of the proposed method is thoroughly evaluated. The results indicate that the method enables adaptive optimization of transducer topology. Moreover, the optimized results exhibit high accuracy and stability in reconstructing complex, asymmetric temperature fields.Full article

Supplementary material:
Supplementary File 1 (ZIP, 138 KiB)

Background/Objectives: Ropivacaine is primarily metabolized by the liver. High doses of ropivacaine, combined with altered pharmacokinetics due to hepatectomy, raise concerns about potential drug toxicity. We investigated the impact of LMH (laparoscopic major hepatectomy) on the pharmacokinetics of high-dose ropivacaine.Methods: Ten patients [...] Read more.

Background/Objectives: Ropivacaine is primarily metabolized by the liver. High doses of ropivacaine, combined with altered pharmacokinetics due to hepatectomy, raise concerns about potential drug toxicity. We investigated the impact of LMH (laparoscopic major hepatectomy) on the pharmacokinetics of high-dose ropivacaine.Methods: Ten patients undergoing LMH received a BD-TAP (bilateral dual transversus abdominis plane) block with a high dose of ropivacaine (3 mg·kg⁻¹ in 60 mL). Plasma concentrations of total and free ropivacaine and AAG (alpha-1 acid glycoprotein) levels were measured. Liver volumes were calculated using three-dimensional liver reconstruction technology.Results: The peak total ropivacaine concentration occurred 45 min after the block, reaching 2031.5 (876.0) ng·mL⁻¹, with a tendency to exceed the toxicity threshold in patients with a CFLV (cut functional liver volume) exceeding 199.24 mL or a CFLV/TFLV (total functional liver volume) ratio surpassing 18.61%. The peak free ropivacaine concentration, 111.5 (31.3) ng·mL⁻¹, was observed 90 min after the block, potentially exceeding the toxicity threshold when CFLV exceeded 452.33 mL or the CFLV/TFLV ratio was greater than 42.16%. Plasma AAG levels increased approximately 1.5 times within 24 h, from 1519.7 (422.6) μg·mL⁻¹ preoperatively to 2253.6 (460.4) μg·mL⁻¹ postoperatively, effectively reducing the toxicity risk associated with free ropivacaine.Conclusions: Preoperative administration of high-dose ropivacaine can be safely utilized in patients undergoing major hepatectomy. The increased plasma AAG concentration due to surgical stress reduces free ropivacaine levels, enhancing patient tolerance to the drug. The CFLV and CFLV/TFLV ratio may be supplementary indicators for predicting ropivacaine toxicity.Full article

Supplementary material:
Supplementary File 1 (ZIP, 59 KiB)

Deteriorating eyesight is increasingly prevalent in the digital age due to prolonged screen exposure and insufficient eye care, leading to reduced productivity and difficulties in maintaining focus during extended reading sessions. This systematic literature review, following PRISMA guidelines, evaluates 1782 articles, with 42 [...] Read more.

Deteriorating eyesight is increasingly prevalent in the digital age due to prolonged screen exposure and insufficient eye care, leading to reduced productivity and difficulties in maintaining focus during extended reading sessions. This systematic literature review, following PRISMA guidelines, evaluates 1782 articles, with 42 studies ultimately included, assessing their quality using the Mixed Methods Appraisal Tool (MMAT). The selected studies are categorised into eye metric classification, measuring comprehension, measuring attention, and typography and typesetting. Recent advances have demonstrated the potential of machine learning to enhance eye movement predictions, such as the classification of fixations and saccades, while other research utilises eye metrics to assess mental fatigue and attention levels. Additionally, modifications to typography have been explored as a means of improving focus and memory retention. The findings highlight the transformative role of eye-tracking technologies and machine learning in understanding reading behaviour, attention, and cognitive workload. However, challenges such as data scarcity, limited generalisability, and biases in existing methodologies persist. Addressing these gaps through standardised frameworks, diverse datasets, and advancements in synthetic data generation could enhance the accessibility, accuracy, and real-world applicability of eye-tracking solutions for improving reading comprehension and focus.Full article

Approximately 95% of patients with chronic hepatitis C achieve viral eradication through direct-acting antiviral (DAA) treatment. Ensuing clinical benefits include halting liver fibrosis, thereby reducing the need for liver transplantation, and decreasing both liver-related and overall mortality. It is well established that, although [...] Read more.

Approximately 95% of patients with chronic hepatitis C achieve viral eradication through direct-acting antiviral (DAA) treatment. Ensuing clinical benefits include halting liver fibrosis, thereby reducing the need for liver transplantation, and decreasing both liver-related and overall mortality. It is well established that, although ameliorated, the risk of developing hepatocellular carcinoma (HCC) persists, particularly among patients with pre-treatment advanced fibrosis/cirrhosis. Current guidelines recommend indefinite HCC surveillance in these patients. However, a recent Markov model evaluation shows that HCC surveillance is cost-effective only for patients with cirrhosis but not so for those with F3 fibrosis, a finding which points out the need to better define the risk of HCC in hepatitis C patients after cure and further characterize pre- and post-treatment factors that might affect the incidence of HCC in this setting. We reviewed the literature analyzing this aspect. Here we summarize the main findings: male gender and older age are independent predictors of increased risk of post-cure HCC development. Moreover, non-invasive tests for hepatic fibrosis, namely FIB4, APRI, and liver stiffness, measured before and after treatment and their post-therapy change, contribute to better stratifying the risk of HCC occurrence. Furthermore, low serum albumin, as well as an AFP above 7 ng/mL prior to and after DAA therapy, also constitute independent predictors of HCC development. Considering these findings, we propose to classify patients with HCV viral eradication and advanced fibrosis/cirrhosis into groups of low, medium, or high risk of HCC and to adopt adequate surveillance strategies for each group, including protocols for abbreviated magnetic resonance imaging (MRI) for those at the highest risk.Full article

Supplementary material:
Supplementary File 1 (ZIP, 12488 KiB)

Biomechanical parameters of plant tissues and organs are increasingly recognized as key factors in plant development and application, increasing the demand for convenient devices for their study. The paper presents an original device for performing a three-point bending test using the inverse method, [...] Read more.

Biomechanical parameters of plant tissues and organs are increasingly recognized as key factors in plant development and application, increasing the demand for convenient devices for their study. The paper presents an original device for performing a three-point bending test using the inverse method, which is a modification of the classical (straight) three-point test. The designed device was tested in experiments to determine the modulus of elasticity of flax plant stems, and the results were compared with data obtained using the vibration method and the straight three-point bending test on a commercial instrument. Due to the high sensitivity associated with its design features, the device for the inverse three-point bending test is characterized by being able to adequately measure elastic moduli in plant stems over a wide range of values, from tens of MPa to tens of GPa. It also allows checking the effect of humidity, temperature, and water content on the mechanical properties of samples and is equipped with an automation system. The proposed device is quite affordable and can be effectively used both for young stem parts, whose mechanical properties are based on a hydroskeleton, and for mature, poorly hydrated parts with cell walls highly developed in sclerenchymatous tissues.Full article

Supplementary material:
Supplementary File 1 (ZIP, 215 KiB)

The confluence of global warming, the urban heat island effect, and alterations in the nature of underlying surfaces has led to a continuous escalation in the frequency, scale, and intensity of fires within urban green spaces. Mitigating or eliminating the adverse effects of [...] Read more.

The confluence of global warming, the urban heat island effect, and alterations in the nature of underlying surfaces has led to a continuous escalation in the frequency, scale, and intensity of fires within urban green spaces. Mitigating or eliminating the adverse effects of such fires on the service functions of urban ecosystems, while enhancing the resilience of urban greening systems in disaster prevention and risk reduction, has become a pivotal challenge in modern urban development and management. Academic focus has progressively broadened from isolated urban and forest domains to encompass the more intricate environments of the Wildland–Urban Interface (WUI) and urban–suburban forests, with a particular emphasis on the distinctive characteristics of urban greening and in-depth research. This study employs a combination of CiteSpace bibliometric analysis and a narrative literature review to comprehensively examine three critical aspects of urban fire safety as follows: (1) the evaluation of the fire-resistant performance of landscape plants in urban green spaces; (2) the mechanisms of fire behavior in urban greening systems; and (3) the assessment and prediction of urban fire risks. Our findings indicate that landscape plants play a crucial role in controlling the spread of fires in urban green spaces by providing physical barriers and inhibiting combustion processes, thereby mitigating fire propagation. However, the diversity and non-native characteristics of urban greenery species present challenges. The existing research lacks standardized experimental indicators and often focuses on single-dimensional analyses, leading to conclusions that are limited, inconsistent, or even contradictory. Furthermore, most current fire spread models are designed primarily for forests and wildland–urban interface (WUI) regions. Empirical and semi-empirical models dominate this field, yet future advancements will likely involve coupled models that integrate climate and environmental factors. Fire risk assessment and prediction represent a global research hotspot, with machine learning- and deep learning-based approaches increasingly gaining prominence. These advanced methods have demonstrated superior accuracy compared to traditional techniques in predicting urban fire risks. This synthesis aims to elucidate the current state, trends, and deficiencies within the existing research. Future research should explore methods for screening highly resistant landscape plants, with the goal of bolstering the ecological resilience of urban greening systems and providing theoretical underpinnings for the realization of sustainable urban environmental security.Full article

Solar air heating systems offer an effective alternative for reducing greenhouse gas emissions at a profitable cost. This work details the design, construction, and experimental evaluation of a novel double-pass V-trough solar air heater with semicircular receivers, which was built with low-cost materials [...] Read more.

Solar air heating systems offer an effective alternative for reducing greenhouse gas emissions at a profitable cost. This work details the design, construction, and experimental evaluation of a novel double-pass V-trough solar air heater with semicircular receivers, which was built with low-cost materials readily available in the Mexican market. Thermal performance tests were conducted in accordance with the ANSI-ASHRAE 93-2010 standard. The results indicated a peak collector efficiency of 0.4461 and total heat losses of 8.8793 W/(m² °C), with an air mass flow rate of 0.0174 kg/s. The instantaneous thermal efficiency varied between 0.2603 and 0.5633 with different air flow rates and an inlet air temperature close to the ambient temperature. The outlet air temperature reached 70 °C, making it suitable for dehydrating fruits or vegetables at competitive operating costs. Additionally, a second-law analysis was carried out, and the exergy efficiency was between 0.0037 and 0.0407. Finally, a Levelized Cost of Energy analysis was performed, and the result was USD 0.079/kWh, which was 31% lower than that of a conventional electric air heater system.Full article

Objective: To investigate the association between miscarriage and ZIKV and CHIKV infection. Methods: The study population consisted of pregnant women who had miscarriages between 2015, 2016 and 2017, comprising a total of 30 women who were treated at the Santa Casa de Misericórdia [...] Read more.

Objective: To investigate the association between miscarriage and ZIKV and CHIKV infection. Methods: The study population consisted of pregnant women who had miscarriages between 2015, 2016 and 2017, comprising a total of 30 women who were treated at the Santa Casa de Misericórdia do Pará Foundation (FSCMPA). The processed samples came from already paraffinized material containing placental and fetal remains, where they were tested with hematoxylin–eosin and immunohistochemistry for ZIKV and CHIKV. Results: Regarding the sociodemographic, clinical and obstetric characteristics of the patients, they correspond to the age group between 20 and 29 years of age; of brown color; women who had abortions for the first time; miscarriages occurring in the first trimester of pregnancy; women belonging to the metropolitan region of Belém; diagnosed with incomplete abortion and who had undergone uterine curettage procedure. Regarding the histopathologic and immunohistochemical findings, an inflammatory infiltrate rich in neutrophils and lymphocytes, among others, was found in the endometrial fragments and chorionic membranes. In addition, placental areas consisting of edema, necrosis and hemorrhage were found. Conclusion: The study identified ZIKV and CHIKV in 40% (n = 12) of samples from spontaneous abortion specimens, and CHIKV was the most prevalent virus in the study, representing 36.11% of the total specimens, with reddish granular material in the cytoplasm of decidua cells and placental villi suggesting that the viruses may be present in these regions of the placenta.Full article

Supplementary material:
Supplementary File 1 (ZIP, 104 KiB)

The risk of workplace SARS-CoV-2 transmission is increased by aerosolization or droplets and increased respiratory rates or increased viral stability in cold environments. Few methods exist for identifying occupational risks of SARS-CoV-2 transmission. We extended a SARS-CoV-2 job exposure matrix (JEM) into four [...] Read more.

The risk of workplace SARS-CoV-2 transmission is increased by aerosolization or droplets and increased respiratory rates or increased viral stability in cold environments. Few methods exist for identifying occupational risks of SARS-CoV-2 transmission. We extended a SARS-CoV-2 job exposure matrix (JEM) into four dimensions, talking loudly (Loud) (very loud, loud, somewhat loud, or not), physical activity (PA) (high, medium or low), and cold (Cold) (cold or not) and hot environments (Hot) (hot or not), using data from the Occupational Information Network (O*NET) and a priori questions for each and noise measurements for 535 occupations. We classified 70%+ occupations as loud or very loud (74.6%); whereas 13.8% were high PA, 18.5% exposed to cold, and 23.7% exposed to hot temperatures. Applying to California 2019 workforce data to explore by race/ethnicity and sex, we found 21.2% worked in very loud and 12.6% in high PA occupations and 15.7% in cold and 17.8% hot environments. Latino workers were highly represented in very loud and high PA levels among farming (83.8 and 78.4%) and construction (58.7% and 50.3%). More males worked in each highest exposure level than females. This JEM provides aerosol transmission proxies for COVID-19 risk factors and merits investigation as a tool for epidemiologic studies.Full article

Supplementary material:
Supplementary File 1 (ZIP, 568 KiB)

Tomato by-products are widely generated during processing, which deserve revalorization due to being rich in bioactive compounds that can be incorporated into novel formulas. This study explores the use of tomato by-products as a source of pigments and antioxidant compounds to develop a [...] Read more.

Tomato by-products are widely generated during processing, which deserve revalorization due to being rich in bioactive compounds that can be incorporated into novel formulas. This study explores the use of tomato by-products as a source of pigments and antioxidant compounds to develop a seasoned cucumber beverage enriched with encapsulated carotenoids. Extracts from industrial tomato pomace were obtained using ultrasound-assisted extraction (USAE) and accelerated solvent extraction (ASE), and then encapsulated by spray-drying with inulin (I), maltodextrin (M), or a maltodextrin–inulin blend (MI). The powders were added to a cucumber beverage treated with high hydrostatic pressure (HHP) and stored for 28 days at 4 °C. Physicochemical properties, microbial load, carotenoid content (U-HPLC), free phenolic content (FPC), and total antioxidant capacity (TAC) were monitored. Beverage samples with maltodextrin (ASE-M, USAE-M) and the maltodextrin–inulin blend (ASE-MI, USAE-MI) showed superior color stability and pH maintenance. USAE-MI achieved the highest TAC at the end of storage and ensured microbial safety by reducing mesophilic bacteria, molds, and yeast. During storage, FPC declined (to ~3.5–5 mg 100 mL⁻¹), TAC increased (to ~16–20 mg 100 mL⁻¹), and carotenoid was kept stable (~9–13 mg L⁻¹). These results highlight the potential of combining HHP with tomato by-product encapsulates to improve the shelf life, quality, pigment stability, and antioxidant properties of vegetable-based beverages.Full article

Background/Objectives: The aim of this study was to identify response prediction and prognostic biomarkers in muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemotherapy (NAC).Methods: A retrospective multicentre study including 191 patients with MIBC who received NAC previous to radical cystectomy (RC) [...] Read more.

Background/Objectives: The aim of this study was to identify response prediction and prognostic biomarkers in muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemotherapy (NAC).Methods: A retrospective multicentre study including 191 patients with MIBC who received NAC previous to radical cystectomy (RC) between 1996 and 2013. Gene expression patterns were analysed in 34 samples from transurethral resection of the bladder (TURB) using Illumina microarrays. The expression levels of 45 selected differentially expressed genes between responders and non-responders to NAC were validated by quantitative PCR in an independent cohort of 157 patients. Regression analysis was used to identify predictors of downstaging and relapse. A nomogram for predicting downstaging and relapse—including clinicopathological and gene expression variables—was developed.Results: The expression levels of 1352 transcripts differed between responders and non-responders to NAC. A nomogram based on the most predictive clinical variables (age, Tis (in situ), gender, history of NMIBC, and lymphadenopathy) and genes selected following the Akaike information criterion (AIC) (CBTB16, CHMP6, DDX54, CASP8, LOR, and PLEC) was then created. In addition, a three-gene expression prognostic model to predict tumour relapse was generated. This model was able to discriminate between two groups of patients with a significantly different probability of tumour relapse (HR: 2.11; CI: 1.16–3.83,p = 0.01).Conclusions: Our nomogram based on gene expression and clinical data is a useful tool to predict downstaging and tumour relapse after NAC in MIBC patients. Further validation is warranted.Full article

The tangible effects of climate change are bringing to the fore the need for the world’s most fragile areas affected by salinity and water scarcity to find ways to mitigate the effects of salinity and other abiotic stresses [...]Full article

Supplementary material:
Supplementary File 1 (ZIP, 342 KiB)

Perovskite-type materials containing Bi³⁺ cations at A sites are interesting from the viewpoints of applications and fundamental science as the lone pair of Bi³⁺ cations often stabilizes polar, ferroelectric structures. This can be illustrated by a lot of discoveries of different [...] Read more.

Perovskite-type materials containing Bi³⁺ cations at A sites are interesting from the viewpoints of applications and fundamental science as the lone pair of Bi³⁺ cations often stabilizes polar, ferroelectric structures. This can be illustrated by a lot of discoveries of different new functionalities in bulk and thin films of BiFeO₃ and its derivatives. In this work, we investigated solid solutions of BiCr_1−xFe_xO₃ with 0.1 ≤x ≤ 0.4 prepared by a high-pressure (HP) method and post-synthesis annealing at ambient pressure (AP). HP-BiCr_1−xFe_xO₃ modifications with 0.1 ≤x ≤ 0.3 were mixtures of two phases with space groupsC2/c andPbam, and the amount of theC2/c phase decreased with increasingx. The amount of theC2/c phase was also significantly decreased in AP-BiCr_1−xFe_xO₃ modifications, and theC2/c phase almost disappeared in AP-BiCr_1−xFe_xO₃ with 0.2 ≤x ≤ 0.3. Fundamental, strong reflections of HP-BiCr_1−xFe_xO₃ and AP-BiCr_1−xFe_xO₃ were almost unchanged; on the other hand, weak superstructure reflections were different and showed clear signs of strong anisotropic broadening and incommensurate positions. These structural features prevented us from determining their room-temperature structures. On the other hand, HP-BiCr_1−xFe_xO₃ and AP-BiCr_1−xFe_xO₃ showed high-temperature structural phase transitions to the GdFeO₃-typePnma modification atT_srt = 450 K (x = 0.1),T_srt = 480 K (x = 0.2),T_srt = 510 K (x = 0.3), andT_srt = 546 K (x = 0.4). Crystal structures of the GdFeO₃-typePnma modifications of all the samples were investigated by synchrotron powder X-ray diffraction. Magnetic properties of HP-BiCr_1−xFe_xO₃ and AP-BiCr_1−xFe_xO₃ were quite close to each other (HP vs. AP), and thex = 0.2 samples demonstrated negative magnetization phenomena without signs of the exchange bias effect.Full article

Supplementary material:
Supplementary File 1 (ZIP, 547 KiB)

The motility and chemotaxis ofVibrio cholerae, the bacterial pathogen responsible for cholera, play crucial roles in both environmental survival and infection. Understanding their molecular mechanisms is therefore essential not only for fundamental biology but also for infection control and therapeutic development. [...] Read more.

The motility and chemotaxis ofVibrio cholerae, the bacterial pathogen responsible for cholera, play crucial roles in both environmental survival and infection. Understanding their molecular mechanisms is therefore essential not only for fundamental biology but also for infection control and therapeutic development. The bacterium’s sheathed, polar flagellum—its motility organelle—is powered by a sodium-driven motor. This motor’s rotation is regulated by the chemotaxis (Che) signaling system, with a histidine kinase, CheA, and a response regulator, CheY, serving as the central processing unit. However,V. cholerae possesses two additional, parallel Che signaling systems whose physiological functions remain unclear. Furthermore, the bacterium harbors over 40 receptors/transducers that interact with CheA homologs, forming a complex regulatory network likely adapted to diverse environmental cues. Despite significant progress, many aspects of these systems remain to be elucidated. Here, we summarize the current understanding to facilitate future research.Full article