bluuebunny/crossref_metadata_2025 huggingface dataset:
Metabolomics Reveals the Mechanism by Which Sodium Butyrate Promotes the Liver Pentose Phosphate Pathway and Fatty Acid Synthesis in Lactating Goats
Authors: Li Lin , Chen Xi , Yan Shuping , Zhang Yuanshu
Published: November 2024

This study aimed to explore the effects of sodium butyrate on liver metabolism in goats subjected to a high-concentrate diet. We randomly assigned twelve Saanen-lactating goats into two groups, one of which received a high-concentrate diet (concentrate: forage = 60:40, control group), while the other received the same basal diet supplemented with sodium butyrate (SB) (10 g/kg basal diet, SB group). Compared with the control diet, the SB diet considerably increased the milk fat percentage and content (p < 0.05), with an increase of 0.67% in the milk fat content of the SB group. By employing a global metabolomics approach based on ultra-performance liquid chromatography–tandem mass spectrometry (UPLC–MS/MS), we identified 6748 ions in ESI+ mode and 3573 ions in ESI− mode after liver isolation from both groups. A total of twenty-three metabolites, including phospholipids, fatty acids, and ribose phosphate, were found to be dysregulated according to a search against the human metabolome database (HMDB). Pathway analysis revealed activation of the pentose phosphate pathway, glycerophospholipid metabolism, and unsaturated fatty acid synthesis. The SB diet also modulated the expression of key lipogenic enzymes, such as acetyl-CoA carboxylase (ACC) and stearoyl-CoA desaturase (SCD-1), which are downstream targets of the transcription factor sterol regulatory element-binding proteins-1c (SREBP-1c), inducing a significant upregulation (p < 0.05). Furthermore, 6-phosphogluconate dehydrogenase (6PGDH) levels in the liver were elevated after the lactating goats were fed the SB diet (p < 0.05). Our study reveals that the SB diet may offer substantial benefits in enhancing the milk quality of subacute ruminal acidosis (SARA) goats. This is accomplished by augmenting the activity of the liver pentose phosphate pathway and the process of de novo fatty acid synthesis in lactating goats.
RETRACTED: Azra et al. Crayfish Research: A Global Scientometric Analysis Using CiteSpace. Animals 2023, 13, 1240
Authors: Azra Mohamad Nor , Wong Li Lian , Aouissi Hani Amir , Zekker Ivar , Amin Mohd Ashaari , Adnan Wan Norazira Wan , Abdullah Muhammad Fuad , Abd Latif Zulkiflee , Noor Mohd Iqbal Mohd , Lananan Fathurrahman , Pardi Faezah
Published: November 2024

The journal retracts the article titled “Crayfish Research: A Global Scientometric Analysis Using CiteSpace” [...]
Exploring the In Vitro Effects of Cassava Diets and Enterococcus Strains on Rumen Fermentation, Gas Production, and Cyanide Concentrations
Authors: Lukbun Saowalak , Suntara Chanon , Prachumchai Rittikeard , Khota Waroon , Cherdthong Anusorn
Published: November 2024

This study examined the effects of adding CUB alongside HCN sources from fresh cassava diets on HCN reduction, gas production, and in vitro digestibility. A completely randomized design (CRD) with a 2 × 2 × 3 + 1 factorial approach was used, where Factor A was the HCN source [fresh cassava root (FCR) or leaf (FCL)], Factor B was the HCN concentration (300 and 600 mg/kg dry matter (DM)), and Factor C was the bacterial supplement [no-CUB, E. faecium KKU-BF7 (CUB1), and E. gallinarum KKU-BC15 (CUB2)]. Statistical analysis was performed using the PROC GLM procedure in SAS. No interaction was observed among the main factors on gas kinetics and cumulative gas (p > 0.05). The addition of CUB1 or CUB2 enhanced cumulative gas production compared to the no-CUB group (p = 0.04). Cyanide degradation efficiency was high when FCR was included at a high HCN level. At 12 h post-incubation, HCN degradation efficiency was higher in the CUB2 and CUB1 groups, reaching 98.44–99.07% compared to the no-CUB group. The higher HCN level increased in vitro acid detergent fiber digestibility (IVADFD) (p = 0.01) by 7.20% compared to the low HCN level, and CUB2 further improved IVADFD. Compared to the FCL-fed group, FCR supplementation increased total VFA concentration (p = 0.03) and propionic acid (C3) concentration (p = 0.04). The addition of CUB2 further enhanced propionic acid concentration by 8.97% compared to no-CUB supplementation (p = 0.04). These results indicate that supplementing E. gallinarum KKU-BC15 at the highest HCN levels in FCR boosts HCN degradation efficiency, fiber digestibility, total VFA, and C3 concentration.
Effective Uptake of Cadmium and Chromium from Wastewater Using Carbon-Based Capsicum annuum
Authors: Thabede Patience Mapule , Nkosi Nkululeko Excellent , Shooto Ntaote David
Published: November 2024

Toxic metal ions such as cadmium-Cd(II) and chromium-Cr(VI) are toxic, do not degrade easily in nature, and can cause various disorders and diseases in humans. Removing and monitoring Cd(II) and Cr(VI) ions is necessary for improving water quality. This study aimed to produce an adsorbent from activated carbon of Capsicum annuum and assess its ability to adsorb Cd(II) and Cr(VI) ions from water. The results showed that the adsorbent from C. annuum was porous after its conversion to activated carbon. The pH(PZC) of carbon-based Capsicum annuum was acidic, with a pH of 2.68. The highest capacities for both metal ions were observed at a pH of 1 for Cr(VI) and pH 5 for Cd(II), with capacities of 18.38 and 29.48 mg/g, respectively. The Freundlich sorption model proved to be the most suitable method. The adsorption of Cr(VI) and Cd(II) increased when the initial concentrations were raised from 20 and 60 mg/L; thereafter, a decrease was observed. The data showed that the adsorption of Cd(II) was fast and reached a maximum in 40 min, while Cr(VI) increased with time up to 30 min; thereafter, the rate for Cr(VI) decreased, while equilibrium was reached for Cd(II) ions. The temperature effect showed that the adsorption of Cd(II) and Cr(VI) ions reached a maximum at 55 and 45 °C, respectively. The results of enthalpy change (ΔH°) showed that the uptake process was exothermic, while the change in thermodynamic values of Gibbs energy (ΔG°) indicated that the sorption process was spontaneous and achievable. The greatest adsorption capacities for Cd(II) and Cr(VI) ions were 34.34 and 15.24 mg/g, respectively. The activated carbon from C. annuum proved to be effective for the adsorption of Cd(II) and Cr(VI) from wastewater.
Changing the Formations of Unmanned Aerial Vehicles
Authors: Falkowski Krzysztof , Kurenda Maciej
Published: November 2024

The development of hierarchical structures of unmanned aerial vehicles (UAVs) increases the efficiency of unmanned aerial systems. The grouping of UAVs increases the region of recognition or force of assault. Achieving these requirements is possible through a UAV formation. The UAVs in the formation must be controlled and managed by a commander, but the commander cannot control individual UAVs. The UAVs within the formation have assigned specific individual tasks, so is possible to achieve the flight of the formation with minimum collisions between UAVs and maximized equipment utilization. This paper aims to present a method of formation control for multiple UAVs that allows dynamic changes in the constellations of UAVs. The article includes the results of tests and research conducted in real-world conditions involving a formation capable of adapting its configuration. The results are presented as an element of research for the autonomy swarm, which can be controlled by one pilot/operator. The control of a swarm consisting of many UAVs (several hundred) by one person is now a current problem. The article presents a fragment of research work on high-autonomy UAV swarms. Here is presented a field test that focuses on UAV constellation control.
Heat Transfer Efficiency While Cooling with a Water Spray, Air-Assisted Water Spray and Water Jet Under Boiling and Single-Phase Forced Convection Conditions
Authors: Jasiewicz Elżbieta , Hadała Beata , Cebo-Rudnicka Agnieszka , Malinowski Zbigniew , Jasiewicz Kamil , Svyetlichnyy Dmytro
Published: November 2024

The main purpose of this paper was to determine and compare the boundary conditions of heat transfer on the cooled surface of a cylindrical sensor made of Inconel 600 alloy while cooling with a water jet, water spray and air-assisted water spray under high-temperature conditions. The inverse method for the heat conduction equation was used to determine the boundary conditions. Experimental tests were carried out, including temperature measurements at several points inside the cylinder while cooling with all the tested systems from a temperature of 900 °C for three values of water pressure: 0.05 MPa, 0.1 MPa and 0.2 MPa. Temperature measurements were used as the input data to identify the heat transfer boundary conditions. The temperature field of the axially symmetric sensor was determined using the finite element method. The boundary conditions were determined as average values of the heat transfer coefficient and heat flux and local values of the heat transfer coefficient. A comparison of the amount of thermal energy dissipating from the sensor surface as a result of boiling and a forced single-phase convection is also presented in the paper. The highest uniformity of cooling was obtained during air-assisted water spray-cooling.
The Application of Mulberry Elements into a Novel Form of Easy-to-Prepare Dried Smoothie
Authors: Przeor Monika , Mhanna Nour I. A. , Drożdżyńska Agnieszka , Kobus-Cisowska Joanna
Published: November 2024

The European market offers a variety of functional foods targeted at prediabetic and diabetic patients, with different approaches to reducing postprandial glucose levels. The utilization of white and black mulberry in new products could be an area of interest to many conscious consumers. The study aimed to design a novel form (dried) of easy-to-prepare product by applying nutritious mulberry in various proportions and creating an aesthetically appealing smoothie product with a distinctive taste profile. Such an easy-to-prepare form of smoothie was obtained by utilizing the freeze-drying process, while typical market smoothies are liquid. Sensory evaluations of the fresh, dried, and reconstructed smoothies and their basic characteristics were conducted. Moreover, antiradical tests (with ABTS+• and DPPH•), the phenolic compound profile (HPLC/PDA), and the L*a*b profile were analyzed. The results of the sensory evaluation tests were divided into two groups: Polish and foreign panelists. It was observed that mulberry-licorice drop-based smoothies were preferred fresh. Yet dried and reconstituted capsule-based smoothies were favored overall. Generally, both Polish and foreign panelists preferred lower concentrations of mulberry and licorice extracts (DB) in fresh smoothies, while in dried or reconstructed smoothie form, panelists scored higher (DC) and lower (DB) concentrations quite similarly (favored both concentrations). From the group of identified phenolic compounds, cinnamic acid derivates dominated all analyzed smoothies. Many analyzed types of flavonoids (quercetin, rutin, kaempferol) and naringenin were found in the smoothies. Some differences were noted in the antiradical tests but were only statistically significant for DPPH• scavenging activity, which was higher for the DB1, DB2, and DC1 samples. Generally, even higher addition of licorice and mulberry did not negatively affect panelists’ ratings and the analyzed activities.
Hybrid Oversampling and Undersampling Method (HOUM) via Safe-Level SMOTE and Support Vector Machine
Authors: Yilmaz Eroglu Duygu , Pir Mestan Sahin
Published: November 2024

The improvements in collecting and processing data using machine learning algorithms have increased the interest in data mining. This trend has led to the development of real-life decision support systems (DSSs) in diverse areas such as biomedical informatics, fraud detection, natural language processing, face recognition, autonomous vehicles, image processing, and each part of the real production environment. The imbalanced datasets in some of these studies, which result in low performance measures, have highlighted the need for additional efforts to address this issue. The proposed method (HOUM) is used to address the issue of imbalanced datasets for classification problems in this study. The aim of the model is to prevent the overfitting problem caused by oversampling and valuable data loss caused by undersampling in imbalanced data and obtain successful classification results. The HOUM is a hybrid approach that tackles imbalanced class distribution challenges, refines datasets, and improves model robustness. In the first step, majority-class data points that are distant from the decision boundary obtained via SVM are reduced. If the data are not balanced, SLS is employed to augment the minority-class data. This loop continues until the dataset becomes balanced. The main contribution of the proposed method is reproducing informative minority data using SLS and diminishing non-informative majority data using the SVM before applying classification techniques. Firstly, the efficiency of the proposed method, the HOUM, is verified by comparison with the SMOTE, SMOTEENN, and SMOTETomek techniques using eight datasets. Then, the results of the W-SIMO and RusAda algorithms, which were developed for imbalanced datasets, are compared with those of the HOUM. The strength of the HOUM is revealed through this comparison. The proposed HOUM algorithm utilizes a real dataset obtained from a project endorsed by The Scientific and Technical Research Council of Turkey. The collected data include quality control and processing parameters of yarn data. The aim of this project is to prevent yarn breakage errors during the weaving process on looms. This study introduces a decision support system (DSS) designed to prevent yarn breakage during fabric weaving. The high performance of the algorithm may encourage producers to manage yarn flow and enhance the HOUM’s efficiency as a DSS.
Multi-Objective Optimization of Three-Stage Turbomachine Rotor Based on Complex Transfer Matrix Method
Authors: Niş Hüseyin Tarık , Yıldız Ahmet
Published: November 2024

This study presents the complex transfer matrix method (CTMM) as an advanced mathematical model, providing significant advantages over the finite element method (FEM) by yielding rapid solutions for complex optimization problems. In order to design a more efficient structure of a three-stage turbomachine rotor, we integrated this method with various optimization algorithms, including genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), gravitational search algorithm (GSA), black hole (BH), particle swarm optimization (PSO), Harris hawk optimization (HHO), artificial bee colony (ABC), and non-metaheuristic pattern search (PS). Thus, the best rotor geometry can be obtained fast with minimum bearing forces and disk deflections within design limits. In the results, the efficiency of the CTMM for achieving optimized designs is demonstrated. The CTMM outperformed the FEM in both speed and applicability for complex rotordynamic problems. The CTMM was found to deliver results of comparable quality much faster than the FEM, especially with higher element quality. The use of the CTMM in the iterative optimization process is shown to be highly advantageous. Furthermore, it is noted that among the different optimization algorithms, ABC provided the best results for this multi-objective optimization problem.
Editorial: Mechanical Properties and Engineering Applications of Special Soils
Authors: An Ran , Liu Xinyu , Zhang Xianwei
Published: November 2024

Special soils refer to the soils with unique physical, mechanical, and engineering properties that are developed under specific geological environments and weathering conditions [...]
Correlation of Parental and Child Dental Plaque Levels: A Clinical Study
Authors: Mazzoleni Sergio , Zuccon Andrea , De Matteo Sara , Parcianello Roberta Gaia , Favero Riccardo , Ludovichetti Riccardo , Malvicini Giulia , Ludovichetti Francesco Saverio
Published: November 2024

Objective: This clinical study aimed to explore the correlation between dental plaque levels in parents and their children. Specifically, the study examined differences in plaque correlation between mother–child and father–child pairs and evaluated the role of parental education in influencing children’s oral hygiene practices. Materials and Methods: A total of 196 subjects were recruited, comprising 49 mother–child and 49 father–child pairs, with children aged 6 to 15 years. Dental plaque was assessed using the O’Leary Plaque Control Record, applying a liquid plaque discloser and explorer. The plaque index was calculated as the percentage of dental surfaces with visible plaque relative to the total surfaces examined. Results: The findings revealed a significant positive correlation between the parental plaque index (IP_PARENTS) and the children’s plaque index (IP_CHILD) (p < 0.001), indicating a strong relationship. While the father’s plaque index (ID_PARENTS(FATHER)) showed a marginally positive effect on IP_CHILD (p = 0.0589), the interaction between father identification and IP_PARENTS had a significant negative impact (p = 0.0344), suggesting that paternal influence on children’s plaque levels may vary. The model accounted for 28% of the variability in IP_CHILD (pseudo R2 = 0.2758). Conclusions: The analysis demonstrated a significant association between parental and child plaque levels, with minor differences observed between maternal and paternal influence. No significant effects were found for the age or gender of the children. Overall, increased plaque levels in parents were associated with higher plaque levels in their children, with slight variations depending on the parent’s role.
Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing
Authors: Antosz Katarzyna , Knapčíková Lucia , Husár Jozef
Published: November 2024

This article presents a discussion of the application of machine learning methods to enhance the quality of drive shaft production, with a particular focus on the identification of critical quality issues, including cracks, scratches, and dimensional deviations, which have been observed in the final stages of machining. A variety of classification algorithms, including neural networks (NNs), bagged trees (BT), and support vector machines (SVMs), were employed to efficiently analyse and predict defects. The results show that neural networks achieved the highest accuracy (94.7%) and the fastest prediction time, thereby underscoring their efficiency in processing complex production data. The BT model demonstrated stability in its predictions with a slower prediction time, while the SVM model exhibited superior training speed, though with slightly lower accuracy. This article proposes that optimising key process parameters, such as temperature, machining speed, and the type of coolant used, can markedly reduce the prevalence of production defects. It also recommends integrating machine learning with traditional quality management techniques to create a more flexible and adaptive control system, which could help reduce production losses and enhance customer satisfaction.
Characterization of the Elemental Composition of Aerosols Emitted in the Dry Season of the Pantanal Wetland, Brazil
Authors: Ramos Lucas Cardoso , Brunelli Thais Costa , Vicentin Flávio César , Curado Leone Francisco Amorim , Lima André Matheus de Souza , Morais Fernando Gonçalves , Palácios Rafael da Silva , Oliveira Nicolas Neves de , Marques João Basso
Published: November 2024

The Brazilian Pantanal region experiences intense biomass burning during the dry season, releasing large quantities of gasses and particles into the atmosphere, which have serious implications on both the climate system and public health. Understanding the dynamics of these emissions is crucial for mitigating the impact on the ecosystem, its functioning, and potential anthropogenic disturbances. This study focused on analyzing emissions in the northern Pantanal during the 2022 drought. Concentrations of fine particulate matter (PM2.5), black carbon (BC), and 25 chemical elements were measured using gravimetry, reflectance analysis, and X-Ray fluorescence, respectively, from samples collected between August and October 2022. The average concentrations of PM2.5 and BC increased approximately 4-fold and 2.5-fold, respectively, compared to averages from a decade ago. Significant increases were also observed in elements such as sulfur (S), potassium (K), iron (Fe), and silicon (Si). The maximum concentrations were comparable to values typical of the southern Amazon, a region known for high deforestation rates and land use changes. Elemental analysis revealed substantial shifts in concentrations, primarily associated with biomass burning (BB) and soil suspension. Additionally, enrichment factor (Ef) analysis showed that lead (Pb) levels, correlated with human activities, were 200 times higher than those found under clean atmospheric conditions.
The Impact of Carbon Emissions Trading Policy on Regional Economy and Pollution Reductions in Chinese Provinces
Authors: Zhang Hui , Lv Xiuying
Published: November 2024

Carbon emissions trading policy is an important tool to achieve carbon peaking and carbon neutrality goals. In order to explore the effectiveness of carbon emissions trading policy, this paper adopts the difference-in-differences model to analyze the effects of China’s pilot policy on regional economic development and pollution reductions. The results show that carbon trading policy can significantly promote economic development and reduce total carbon emissions, industrial SO2 emissions and solid wastes production of pilot regions. Further research finds that there is significant regional difference in policy effectiveness, with the policy more effective in western areas. In addition to direct effects, carbon trading policy could exert an indirect effect on carbon emissions, air quality, industrial solid wastes and regional economic development by optimizing energy consumption structures and industrial structures and increasing technological investment. This result verifies the “Porter hypothesis”. China should improve the construction of national carbon trading markets, covering more industries, considering the regional differences and negative spillover effect.
The Characteristics of Water-Soluble Inorganic Ions in PM1.0 and Their Impact on Visibility at a Typical Coastal Airport
Authors: Zhao Jingbo , Xu Yanhong , Xu Jingcheng , Ji Yaqin
Published: November 2024

Water-soluble inorganic ions (WSIIs) can increase the hygroscopicity of aerosols, which will transform aerosols into larger sizes and reduce visibility by enhancing light scattering. To explore the characteristics of WSII concentrations and their impacts on visibility in a coastal airport, in this study, PM1.0 samples at two monitoring sites (including airport site and background site) were collect in spring and summer, and 12 species of ions were detected. In general, secondary water-soluble inorganic ions (SNA, including SO42−, NO3− and NH4+) and Ca2+ were the dominant WSIIs in PM1.0, contributing about 89% to 95% of the total measured ions. The continental contributions of SO42−, K+, and Ca2+ accounted for more than 60% during the whole period, while Na+ and Cl− were mainly from marine sources. The source identification showed that airport emissions were a major source at the sampling site and significantly contributed to the levels of sulfate, nitrate, and ammonium. Agricultural activities were the dominant sources impacting visibility in spring, while airport emissions and secondary inorganic aerosols were the main components affecting visibility in summer. Therefore, improving atmospheric visibility in coastal airport areas should focus on reducing the precursors of secondary particulates and reducing biomass-burning activities.
The Role of Epigenetic Switches in Polyphenism Control: Implications from a Nematode Model for the Developmental Regulation of Alternative Phenotypes
Authors: Wighard Sara , Sommer Ralf J.
Published: November 2024

Polyphenisms, the capability of organisms to form two or more alternative phenotypes in response to environmental variation, are prevalent in nature. However, associated molecular mechanisms and potential general principles of polyphenisms among major organismal groups remain currently unknown. This review focuses on an emerging model system for developmental plasticity and polyphenism research, the nematode Pristionchus pacificus and explores mechanistic insight obtained through unbiased genetic, experimental and natural variation studies. Resulting findings identify a central role for epigenetic switches in the environmental control of alternative phenotypes and their micro–and macroevolution. Several features observed in P. pacificus are shared with insects and plants and might become general principles for the control of polyphenisms during development.
Modulators of Alpha-2 Macroglobulin Upregulation by High Glucose in Glomerular Mesangial Cells
Authors: Trink Jackie , Li Renzhong , Gao Bo , Lu Chao , Krepinsky Joan C.
Published: November 2024

Up to 40% of patients with diabetes mellitus will develop diabetic kidney disease (DKD), characterized pathologically by the accumulation of extracellular matrix proteins, which leads to the loss of kidney function over time. Our previous studies showed that the pan-protease inhibitor alpha 2-macroglobulin (A2M) is increased in DKD and is a critical regulator of the fibrotic response in glomerular mesangial cells (MC), an initial site of injury during DKD development. How A2M is regulated by high glucose (HG) has not yet been elucidated and is the focus of this investigation. Using serial deletions of the full A2M promoter, we identified the −405 bp region as HG-responsive in MC. Site-directed mutagenesis, siRNA, and ChIP studies showed that the transcription factor, nuclear factor of activated T cells 5 (NFAT5), regulated A2M promoter activity and protein expression in response to HG. Forkhead box P1 (FOXP1) served as a cooperative binding partner for NFAT5, required for A2M upregulation. Lastly, we showed that Smad3, known for its role in kidney fibrosis, regulated A2M promoter activity and protein production independently of HG. The importance of NFAT5, FOXP1, and Smad3 in A2M regulation was confirmed in ex vivo studies using isolated glomeruli. In conclusion, Smad3 is required for basal and HG-induced A2M expression, while NFAT5 and FOXP1 cooperatively regulate increased A2M transcription in response to HG. Inhibition of NFAT5/FOXP1 will be further evaluated as a potential therapeutic strategy to inhibit A2M production and attenuate profibrotic signaling in DKD.
Physicochemical Rationale of Matrix Effects Involved in the Response of Hydrogel-Embedded Luminescent Metal Biosensors
Authors: Rotureau Elise , Pagnout Christophe , Duval Jérôme F. L.
Published: November 2024

There is currently a critical need for understanding how the response and activity of whole-cell bacterial reporters positioned in a complex biological or environmental matrix are impacted by the physicochemical properties of their micro-environment. Accordingly, a comprehensive analysis of the bioluminescence response of Cd(II)-inducible PzntA-luxCDABE Escherichia coli biosensors embedded in silica-based hydrogels is reported to decipher how metal bioavailability, cell photoactivity and ensuing light bioproduction are impacted by the hydrogel environment and the associated matrix effects. The analysis includes the account of (i) Cd speciation and accumulation in the host hydrogels, in connection with their reactivity and electrostatic properties, and (ii) the reduced bioavailability of resources for the biosensors confined (deep) inside the hydrogels. The measurements of the bioluminescence response of the Cd(II) inducible-lux biosensors in both hydrogels and free-floating cell suspensions are completed by those of the constitutive rrnB P1-luxCDABE E. coli so as to probe cell metabolic activity in these two situations. The approach contributes to unraveling the connections between the electrostatic hydrogel charge, the nutrient/metal bioavailabilities and the resulting Cd-triggered bioluminescence output. Biosensors are hosted in hydrogels with thickness varying between 0 mm (the free-floating cell situation) and 1.6 mm, and are exposed to total Cd concentrations from 0 to 400 nM. The partitioning of bioavailable metals at the hydrogel/solution interface following intertwined metal speciation, diffusion and Boltzmann electrostatic accumulation is addressed by stripping chronopotentiometry. In turn, we detail how the bioluminescence maxima generated by the Cd-responsive cells under all tested Cd concentration and hydrogel thickness conditions collapse remarkably well on a single plot featuring the dependence of bioluminescence on free Cd concentration at the individual cell level. Overall, the construction of this master curve integrates the contributions of key and often overlooked processes that govern the bioavailability properties of metals in 3D matrices. Accordingly, the work opens perspectives for quantitative and mechanistic monitoring of metals by biosensors in environmental systems like biofilms or sediments.
Developing a Method to Evaluate Public Space Perception in River Valley Plain Villages of the Loess Gully Area Based on Villagers’ Perspectives
Authors: Dong Qi , Chen Yuan , Liu Yifei , Qi Yingtao , Galli Barbara , Wang Yupeng
Published: November 2024

The natural conditions in the loess gully area are harsh, and the construction of rural public spaces often lacks scientific guidance. It is essential to develop an optimization method for public spaces that is oriented toward the needs of villagers. For this study, the numerous river valley plain villages in Northern Shaanxi were selected as typical examples, with a focus on Liangqu Village as a case study. First, a public space perception evaluation system was established using the semantic differential method, which comprised four criterion-layer factors and nineteen indicator-layer factors. Perception evaluations were conducted for two types of public spaces: nodes and lanes. The results indicate that “facility completeness”, “accessibility”, and “activity diversity” were the most significant factors affecting villagers’ perceptions of node spaces. In contrast, “safety”, “landscape richness”, and “facility completeness” were the most critical factors influencing villagers’ perceptions of road spaces. Based on the evaluation results, the optimization needs of public spaces were categorized into four levels, and factors that urgently require improvement such as “facility completeness” and “safety” were identified. This study analyzed villagers’ perceptions and needs related to public spaces, providing scientific guidance for establishing a bottom-up design method for optimizing public spaces.
Influence of Horizontal Distance Between Earthmoving Vehicle Load and Deep Excavation on Support Structure Response
Authors: Zhao Ping , Wang Zhanqi , Qiu Youqiang , Guo Panpan
Published: November 2024

The objective of this paper is to investigate the influence of earthmoving vehicle load position on the deformation and internal force characteristics of a deep excavation (DE) support structure. The position of the earthmoving vehicle load near a DE is described by the horizontal distance between the earthmoving vehicle load and the DE. A two-dimensional finite element model is established for simulating DE engineering under the earthmoving vehicle load. The load of the earthmoving vehicle is treated as the static load, and the influence of the earthmoving vehicle load on the excavation support structure is considered from the static point of view. The numerical results of the finite element model agree well with the measured data from the field, which verifies the validity of the model. On the basis of this model, multiple models are established by changing the horizontal distance (D) between the earthmoving vehicle and the DE. The influence of D on the support structure and its critical magnitude for ensuring safety were studied. The results show that the underground diaphragm wall (UDW) is the main component for which horizontal displacement occurs under the earthmoving vehicle load. The horizontal displacements of the support structure exhibit an asymmetric distribution. When D decreases from 20 m to 0.5 m, the horizontal displacement of the UDW near the loading side increases, and the maximum horizontal displacement occurs at the top of the excavation support structure. The critical magnitude of D for ensuring safety is found to be 1 m. When D is less than 1 m, the DE is in an unsafe state. The UDW is the main component subject to the bending component. The bending moment distribution exhibits an “S” shape. The maximum bending moment increases with the decrease in D, and it occurs at the intersection of the second support and the UDW. As D decreases, the axial force in the first internal support changes from pressure to tension. The axial forces in the second and third internal supports are both pressures. The axial force in the third internal support is the largest. The research results have a positive effect on the design and optimization of DE support structures under the earthmoving vehicle load.
Impact of Digitalisation in Construction on Australian Designers and Builders: A Cross-Analysis Based on the Size of Organisations
Authors: Perera Srinath , Jin Xiaohua , Gunasekara Kasun , Samaratunga Marini
Published: November 2024

The construction industry has yet to reach significant levels of digitalisation compared to other sectors, which could enhance its processes. Recent building failures globally have eroded public trust in the industry, highlighting issues of compliance. This has prompted the introduction of building regulations, where digitalisation is expected to play a key role in supporting compliance. This paper aims to assess the impact of digitalisation on two key stakeholder groups within the construction industry—designers and builders—across various organisational sizes. A questionnaire survey was conducted with designers and builders in Australia, focusing on information technology (IT) infrastructure, digital capability, training, and research and development. Descriptive statistics were analysed and cross-analyses between designers and builders, as well as across different organisation sizes, were conducted using the Mann–Whitney U and Kruskal–Wallis H tests. The findings revealed clear differences between designers and builders regarding digitalisation across IT infrastructure, digital capability, training, and R&D. For example, builders primarily rely on cloud storage while designers use a combination of local and cloud storage. Designers allocate a higher percentage of their turnover to IT, whereas builders are twice as likely as designers to lack structured training for digital skills. When organisation size was considered independently, similarities were observed across sizes. These results provide insight into the current digitalisation landscape in construction, offering a foundation to support the adoption of future industry regulations.
Deciphering the Role of ASPM in Breast Cancer: A Comprehensive Multicohort Study
Authors: Ibrahim Asmaa , Atallah Nehal M. , Makhlouf Shorouk , Toss Michael S. , Green Andrew , Rakha Emad
Published: November 2024

Background: Assembly factor for spindle microtubules (ASPM) has gained significant attention in cancer research due to its association with tumor growth and progression. Through the analysis of large-scale genomic datasets, ASPM has been identified as the top upregulated gene in breast cancer (BC), characterized by high proliferation. This multicohort study aimed to investigate the clinicopathological and prognostic significance of ASPM mRNA and protein expression in BC. Methods: ASPM mRNA expression was assessed using the Cancer Genome Atlas (TCGA) BC cohort and has been further validated in the Molecular Taxonomy of BC International Consortium (METABRIC) (n = 1980), The Uppsala cohort (n = 249), in addition to the combined multicentric cohort (n = 7252). ASPM protein expression was evaluated in a large BC cohort (n = 1300) using immunohistochemistry. The correlations between ASPM expression, clinicopathological parameters, molecular subtypes and outcome were assessed. The response to taxane treatment was compared to the clinical prognosis of ASPM using the ROC plotter. Results: High ASPM mRNA and protein expression were significantly associated with aggressive BC features and poor survival across all cohorts. The association with poor outcomes was maintained in the adjuvant chemotherapy and radio-therapy-treated patients. Responders to taxane treatment showed significantly elevated ASPM levels compared to non-responders. Conclusions: High ASPM expression predicts poor prognosis in BC. It may play a role in treatment resistance within a specific subgroup of patients. Further clinical trials are warranted to explore the potential of ASPM as a target for therapeutic interventions in cancer.
A Small Molecule Antagonist of CX3CR1 (KAND567) Inhibited the Tumor Growth-Promoting Effect of Monocytes in Chronic Lymphocytic Leukemia (CLL)
Authors: Zhong Wen , Kokhaei Parviz , Mulder Tom A. , Ghaderi Amineh , Moshfegh Ali , Lundin Jeanette , Palma Marzia , Schultz Johan , Olin Thomas , Österborg Anders , Mellstedt Håkan , Hojjat-Farsangi Mohammad
Published: November 2024

Background/Objectives: Nurse-like cells (NLCs) derived from monocytes in the tumor microenvironment support the growth of chronic lymphocytic leukemia (CLL) cells. Here, we investigated the effects of a CX3CR1 (fractalkine receptor) antagonist (KAND567) on autologous monocytes and their pro-survival effects on CLL cells in vitro. Methods: Plasma concentration of CX3CL1 was determined by ELISA and CX3CR1 expression by flow cytometry. CD19+ cells and autologous monocytes from patients with CLL and healthy donors were treated with KAND567 either in co-culture or alone. The apoptosis of CD19+ cells and monocytes was determined by Annexin V/PI staining and live-cell imaging. Results: Plasma concentration of CX3CL1 (fractalkine) was significantly higher in patients with CLL (n = 88) than in healthy donors (n = 32) (p < 0.0001), with higher levels in patients with active compared to non-active disease (p < 0.01). CX3CR1 was found on monocytes but not B cells in patients and controls. Levels of intermediate and non-classical CX3CR1+ monocytes were higher in patients with CLL than in controls (p < 0.001), particularly in those with active disease (p < 0.0001). Co-culture experiments revealed that autologous monocytes promoted the survival of both malignant and normal B cells and that KAND567 selectively inhibited the growth of CLL cells in a dose-dependent manner but only in the presence of autologous monocytes (p < 0.05). Additionally, KAND567 inhibited the transition of monocytes to NLCs in CLL (p < 0.05). Conclusions: Our data suggest that the CX3CR1/CX3CL1 axis is activated in CLL and may contribute to the NLC-driven growth-promoting effects of CLL cells. KAND567, which is in clinical trials in other disorders, should also be explored in CLL.
Recent Advances in NO Reduction with NH3 and CO over Cu-Ce Bimetallic and Derived Catalysts
Authors: Liu Jiaxuan , Liu Jun , Zhang Guojie
Published: November 2024

Sintering flue gas contains significant amounts of harmful gases, such as carbon monoxide and nitrogen oxides (NOx), which pose severe threats to the ecological environment and human health. Selective catalytic reduction (SCR) technology is widely employed for the removal of nitrogen oxides, with copper-cerium-based bimetallic catalysts and their derivatives demonstrating excellent catalytic efficiency in SCR reactions, primarily due to the significant synergistic effect between copper and cerium. This paper summarizes the main factors affecting the catalytic performance of Cu-Ce-based bimetallic catalysts and their derivatives in the selective catalytic reduction of ammonia and carbon monoxide. Key considerations include various preparation methods, doping of active components, and the effects of loading catalysts on different supports. This paper also analyzes the influence of surface oxygen vacancies, redox capacity, acidity, and specific surface area on catalytic performance. Additionally, the anti-poisoning performance and reaction mechanisms of the catalysts are discussed. Finally, the paper proposes strategies for designing high-activity and high-stability catalysts, considering the development prospects and challenges of Cu-Ce-based bimetallic catalysts and their derivatives, with the aim of providing theoretical guidance for optimizing Cu-Ce-based catalysts and promoting their industrial applications.
Energy Loss in Frictional Hertzian Contact Subjected to Two-Dimensional Cyclic Loadings
Authors: Ahn Young Ju
Published: November 2024

We investigate the effect of three different harmonically varying loads as a function of the friction coefficient on energy loss in a three-dimensional discrete uncoupled frictional contact problem. Three loading cases include (1) a normal force is constant and a tangential force varies, (2) normal and tangential forces both vary, but the loading and unloading curves are identical, and (3) normal and tangential forces both vary, but the loading and unloading curves are different. For a higher coefficient of friction, three loading cases show different characteristics. If a normal force is constant and a tangential force varies, there is always some slip, but dissipation tends asymptotically to zero at large coefficient of friction. If normal and tangential forces both vary, but the loading and unloading curves are identical, there is no slip and no dissipation above a critical coefficient of friction. If the loading and unloading curves are different, dissipation occurs for all values of the coefficient of friction, and we expect that the dissipation is asymptotic to the relaxation damping value as the coefficient of friction approaches infinity. For lowering coefficient of friction, the three loading cases show similar behavior. Dissipation increases and reaches a maximum just before a state where gross slip is possible.
The Range of the Colonial Microcystis’ Biomass for Shift to Diatom Aggregates Under Aeration Mixing and Low Light
Authors: Wang Xiaodong , Che Xuan , Liu Xingguo , Li Xinfeng , Chen Xiaolong , Li Yiming , Zhu Lin
Published: November 2024

In order to investigate non-cyanobacteria dominance succession from Microcystis blooms, particularly to diatom dominance, an experiment using varying colonial Microcystis biomasses expressed as bulk concentrations of 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 22.0, and 24.0 mL L−1 was undertaken under continuous aeration mixing in a greenhouse during a hot summer where shading had reduced light level by 97%. The results showed that the algal shift process was affected by the initial biomass of the colonial Microcystis, and the algal community diversified. When the Microcystis bulk concentration was between 2.0 and 16.0 mL L−1, the bloom became dominated by diatom Nitzschia palea, which aggregated on the mucilage sheathes of the Microcystis colonies. The diatom density at bulk concentration biomass of 2.0 mL L−1 reached a maximum at 2.8 × 105 cells mL−1 on day 27. When the bulk concentration was at 18.0–24.0 mL L−1, no diatom dominance appeared. The shift from a Microcystis bloom to diatom dominance was affected by the initial Microcystis biomass, and the most suitable bulk concentration biomass for colonial Microcystis was at 2–12 mL L−1, in which the chlorophyll-a level was about from 285 to 1714 μg L−1. The mechanism underlying this algal shift may be that the low light and nutrient levels in the Microcystis bloom promoted diatom aggregation growth on the mucilage sheaths of Microcystis colonies under continuous aeration mixing.
The Complex Relationship Between Tuberculosis and Hyperglycemia
Authors: Byers Michelle , Guy Elizabeth
Published: November 2024

Hyperglycemia and tuberculosis are dual global pandemics. Each has a propulsive and amplifying effect on the other, and, because of this, we must consider hyperglycemia and tuberculosis together. Hyperglycemia is immunosuppressive and increases the risk of tuberculosis by threefold. It also leads to a more advanced presentation of pulmonary tuberculosis, thus increasing the likelihood of being smear positive and having cavitating lesions, and it impacts the duration and outcomes of treatment, with an increased one year mortality seen in patients with tuberculosis and diabetes. Additionally, any degree of hyperglycemia can have an impact on susceptibility to tuberculosis, and this effect is not limited to poorly controlled diabetes. Conversely, tuberculosis itself is associated with hyperglycemia and worsens hyperglycemia in those with diabetes mellitus. The impact of this relationship varies based on the base rates of each disease in different regions of the world. In order to successfully achieve the World Health Organization’s goals of tuberculosis eradication and adequate glycemic control, we must improve our understanding, co-management, and screening of hyperglycemia and tuberculosis. This review aims to explore the current research investigating the relationship between tuberculosis and diabetes, including the changes in disease susceptibility, presentation, geographic distribution, and effects on treatment.
Prevalence, Occurrence, and Characteristics of Supernumerary Teeth Among the Saudi Arabian Population Using Panoramic Radiographs
Authors: Mallineni Sreekanth Kumar , Aldhuwayhi Sami , Deeban Yahya , Almutairi Khalid Saud , Alhabrdi Sultan Nawasir , Almidaj Mohammad Abdulaziz , Alrumi Bader Abdullah , Assalman Abdurrahman Salman , Joseph Angel Mary , Thakare Amar Ashok , Mustafa Mohammed Ziauddeen
Published: November 2024

Background: Supernumerary teeth numerical anomalies and the early diagnosis of supernumerary teeth is very important to avoid potential complications. The study aim was to determine the prevalence, occurrence, and characteristics of supernumerary teeth among the Arabian population. Methods: A retrospective radiographic study was performed using panoramic radiographs of patients attending a teaching hospital from January 2018 to December 2020. Only healthy patients with clear radiographs were included in the study, and patients with syndromes, cleft lip, and palate, and unclear radiographs were excluded from the study. The details include the patient’s age and gender, supernumerary tooth number, location, orientation, and position. Only a single examiner was involved in the data collection and analysis. Results: Overall, 38 (2%) patients were observed with 47 supernumerary teeth. Among them, 76% were males and 24% were females, with a mean age of 16.1 ± 9.7 years. Mesiodens (87%) are the common type of supernumerary tooth, and the majority of the supernumerary teeth were impacted (66%). The majority of the patients presented with a single supernumerary tooth, while 24% of the patients presented with two supernumerary teeth. Sixty percent of the supernumerary teeth were conical in morphology, followed by a tuberculate morphology. In the study population, most of the supernumerary teeth were normal in orientation. Conclusions: The prevalence of supernumerary teeth was 2%. Among them, the majority were observed at the anterior region of the maxillary arch with a conical shape of normal orientation. The gender-based comparison of location, orientation, morphology, eruption, and number of supernumerary teeth showed male predilection.