bluuebunny/crossref_metadata_2025 huggingface dataset:
Industrial Hemp Finola Variety Photosynthetic, Morphometric, Biomechanical, and Yield Responses to K Fertilization Across Different Growth Stages
Authors: Varga Ivana , Markulj Kulundžić Antonela , Krolo Paulina , Iljkić Dario , Tišma Marina , Kraus Ivan
Published: February 2025

The growing interest in Cannabis sativa as a highly used crop is present worldwide. There are limited data about the effect of potassium (K) fertilizer on industrial hemp yield for dual purposes (seed and stem production). The current study aimed to investigate the influence of adding two different K fertilizers, KCl and K2SO4, at two growth stages (flowering and ripening) on the productivity and chlorophyll a fluorescence (ChlF) of Cannabis sativa, variety Finola. Before sowing, different K treatments were applied: K1—100 kg ha−1 KCl (60% K) and K2—100 kg ha−1 K2SO4 (52% K, S 17%). The OJIP (O stands for “origin” (minimal fluorescence), P for “peak” (maximum fluorescence), and J and I for inflection points between the O and P levels) data were recorded and used for ChlF transients and individual ChlF parameters during vegetation. At harvest, the stem morphology parameters and yield (plant height, stem weight and diameter, and stem and seed yield), tensile strength, and the modulus of elasticity were determined. The results show the sensitivity of minimal (F0) and maximal fluorescence (Fm), electron transport from QA to intersystem electron acceptors (ET0/(TR0 − ET0)), and electron transport flux until PSI acceptors (RE0/RC) to K fertilization. The parameters that described electron transport (ET0/RC, ψE0, and φE0), performance index on absorption basis (PIABS, TR0/DI0, and φP0), dissipation (DI0/RC), and electron transport to photosystem I (φR0 and δR0/(1 − δR0)) had a reaction only at the growth stage, indicating a change in their activity during the aging of the Cannabis sativa plants. The average stem height was 67.5 cm, and the stem diameter was 0.41 cm. The different K sources did not significantly influence the stem height and diameter, nor the dry stem (on average 12.2 t ha−1) and seed yield (on average 1.85 t ha−1). The tensile strength of individual hemp stems was the highest with K2SO4 (53.32 MPa) and the lowest with KCl (49.25 MPa). The stem stiffness by modulus of elasticity was about 5 GPa on average for all the treatments. In general, the photosynthetic parameters in this study varied more between the growth stages than between the different K fertilizer formulations. Moreover, based on the results of this study, it can be recommended to use both fertilizers, KCl and K2SO4, in dual-purpose industrial hemp production since no significant effect was found for the stem morphometric and biomechanical parameters as well as for the agronomic parameters.
Photosynthetic Efficiency and Water Status as Determinants for the Performance of Semiarid-Adapted Cotton Cultivars Under Drought in Greenhouse
Authors: Sousa Renato Oliveira de , Jesus Jeane Ferreira de , da Silva Manderson Nunes , Paula-Marinho Stelamaris de Oliveira , Alcântara Neto Francisco de , Carvalho Humberto Henrique de , Costa José Hélio , Silva Rodrigo Fonseca da , Dauala Gonçalves Albino , Silveira Maria Valnice de Souza , Silva Teonis Batista da , Miranda Rafael de Souza
Published: February 2025

Searching for crop cultivars that are resilient to environmental stresses is crucial for maintaining global agricultural production. Our study aimed to screen semiarid-adapted cotton cultivars performing well under water-restricted conditions. Trials were conducted in a greenhouse involving six cotton cultivars (FM 911, FM 912, FM 970, FM 974, FM 978, and FM 985) subjected to four water levels (100, 80, 60, and 40% field capacity—FC). At 20 days post-drought imposition, the growth, leaf succulence, osmotic potential, gas exchanges, photosynthetic pigments, and lipid peroxidation were measured. Cotton plants showed reduced growth and gas exchanges at 60% and 40%, displaying elevated sensibility at 40% FC. Under 60% FC, FM 970 and FM 985 exhibited a superior dry biomass, leaf area, and growth, indicating high drought tolerance. FM 911, FM 912, and FM 978 displayed higher rates of net photosynthesis, transpiration, stomatal conductance, and chlorophyll content under 60% and 40% FC, but also demonstrated an increased lipid peroxidation. Additionally, FM 911, FM 970, and FM 974 had the lowest osmotic potential values. Field capacity at 60% and 40% represent moderate and severe drought conditions for cotton. The superior performance of FM 970, FM 978, and FM 985 under drought is attributed to pigment accumulation and photosynthetic efficiency. Our findings suggest that a water-saving strategy with an 80% FC can enhance sustainable production and identify promising cotton cultivars for cultivation in water-scarce regions.
Assessing the Influence of Marine Port Remediated Sediments on Highbush Blueberry Growth and Trace Elements Accumulation
Authors: Nin Stefania , Bonetti Daniele , Antonetti Maurizio , Macci Cristina , Giordani Edgardo , Bini Lorenzo
Published: February 2025

The aim of this study was to investigate how biomass production and element distribution (nutrients and heavy metals) among plant organs (roots, stems, and leaves) were influenced by substrate physical and chemical properties, using acidophilic plants of Vaccinium corymbosum cultivars Bluecrop and Duke. A greenhouse pot experiment was conducted with highbush blueberry plants grown in an uncontaminated acidic peat-based control substrate (TS0) and two alkaline substrates enriched with remediated sediment (TS50 and TS100), characterized by high pH, Ca, and heavy metal concentrations. Both plant cultivars that were cultivated in sediment–based substrates exhibited a substantial reduction in plant growth, biomass production, and leaf chlorophyll levels. Limited translocation of microelements from belowground organs to leaves was observed across all plant samples. Cu, Fe, and Pb were predominantly accumulated in the roots of plants grown in TS-based substrates, with both cultivars acting as excluders for these metals by restricting their transport from roots to shoots. Mn and Zn were primarily retained in the stems and roots of highbush blueberry plants, with lower leaf accumulation. Notably, only Mn exhibited high translocation and bioaccumulation factor values (on average, 3.43 and 6.68, respectively), highlighting the species’ strong capacity for Mn accumulation. Specifically, control plants showed significantly higher Mn concentrations than those grown in TS-enriched substrates, likely due to the acidic conditions that enhance the bioavailability of this metal and the low Ca concentration in TS0, which is known to disrupt Mn accumulation in shoots. However, this accumulation did not reach toxic levels for the plants and did not negatively impact the physiological processes of control plants, which remained particularly efficient in the Duke cv, known for its Mn resistance. This study highlights the ability of highbush blueberry plants to selectively accumulate heavy metals when grown in polluted substrates under suitable conditions, making them a valuable model for understanding metal accumulation mechanisms in the Ericaceae family.
Effect of Stocking Density on Behavioural and Physiological Traits of Laying Hens
Authors: Janicka Kamila , Drabik Kamil , Wengerska Karolina , Rozempolska-Rucińska Iwona
Published: February 2025

This study analysed stocking density as a major stress factor for laying hens and assessed its impact on selected behavioural and physiological traits of the birds. The study population included 142 birds of the Green-legged Partridge breed (12 males and 132 females). The birds were randomly assigned to three experimental groups of standard, low, and high stocking density, and a modified open-field test was conducted to assess their behavioural traits. The following blood parameters were analysed: corticosterone, cortisol, and testosterone. The behavioural test results demonstrated an impact of stocking density on laying hens’ behaviour. The birds kept at a low density exhibited the greatest diversity in behaviour as well as the most frequent and longest locomotion. There were no differences between the groups in terms of stress hormone results. All groups showed a significant decrease in testosterone levels compared to the control. This may suggest that, despite differences in stocking, the structure was established quickly, resulting in decreased competition and, consequently, a positive impact on the birds. When kept in lower-stocking-density groups with a stable structure, birds are less competitive; this stable structure improves their well-being to a greater extent than the stocking density.
Relationships Between the Quantity and Quality of Pollen and the Quantity of Capped Brood in Apis mellifera carnica and Apis mellifera caucasica
Authors: Młynek Krzysztof , Wnorowska Kalina , Pawluk Grzegorz
Published: February 2025

An important aspect in improving the efficiency of apiary production is knowledge of factors stimulating the condition of colonies. In view of climate change, one important factor is bee behavior associated with meteorological conditions. Studying the effect of selected meteorological parameters on honeybee colony development can help enhance management of the apiary economy. The aim of the study was to evaluate the connections between the quantity and quality of collected pollen and the quantity of capped brood, as an indicator of the rate of development against the background of weather condition indicators. We studied colonies of two relatively old subspecies: Apis mellifera carnica L. (CR) and Apis mellifera caucasica L. (CC) colonies. It was hypothesized that the quantity of pollen gathered is dependent on meteorological conditions, while the amount of capped brood depends on the quality and quantity of pollen. The study was carried out from April to July. Until May, both groups collected similar amounts of pollen. In the second part of the study, CC collected more pollen (averaging 32.3 g more). CR bees, however, exhibited greater development potential, with 6.32 g more capped brood on average (p ≤ 0.05). The greatest differences were noted in the spring period, which indicates faster development in CR colonies. The capped brood weight was positively correlated (0.391, p ≤ 0.05) with the amount of protein in the pollen. Trends in capped brood mass indicate that CR colonies were stronger during spring development. To some extent, this can be explained by the dependency of this behavior on meteorological conditions, specifically wind speed. In comparison to the CC subspecies (−0.600, p ≤ 0.05), CR bees were less sensitive to this factor, as indicated by the stronger correlation between pollen collection and wind strength (−0.642, p ≤ 0.05). The results indicate that some of the features of the subspecies we studied may have some potential in improving colony strength management in the context of changes related to the course of spring weather in eastern Poland.
Seed Priming with 2,4-Epibrassionolide Enhances Seed Germination and Heat Tolerance in Rice by Regulating the Antioxidant System and Plant Hormone Signaling Pathways
Authors: Qian Jingya , Mo Xu , Wang Yue , Li Qiang
Published: February 2025

With global climate warming, enhancing the heat stress tolerance of rice seeds is critical for ensuring crop yields and maintaining global food security. 2,4-Epibrassionolide (EBR) has been shown to effectively alleviate the adverse effects of heat stress on rice seed germination, but its mitigation mechanism has not been fully clarified. In this experiment, exogenous EBR was used as a seed priming agent. The activities of superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), malondialdehyde (MDA), soluble protein contents, and plant hormone levels were measured during rice seed germination under heat stress (38 °C). We constructed a cDNA library for transcriptome sequencing analysis. The results showed that exogenous EBR could effectively alleviate the effect of heat stress on rice seeds by enhancing SOD, POD, and CAT enzyme activity; reducing the MDA content; and increasing the soluble protein content. Additionally, exogenous EBR increases the levels of GA and IAA while decreasing the ABA content. According to a transcriptomic analysis, exogenous EBR can induce the expression of key genes involved in GA, IAA, and ABA hormone biosynthesis and metabolism, regulating GA-, IAA-, ABA-, and H2O2-mediated signaling pathways to promote the germination of rice seeds under heat stress. This study provides new insights into the application of rice seed priming techniques.
Comparison of Various Models for Optimal Water Distribution in Canal Systems
Authors: Zhang Xufeng , Fan Yu , Gao Zhanyi , Yang Mingming , Wang Yifan , Liu Xia
Published: February 2025

Optimized water distribution models for canals are used to ensure that crop water demands are met through the efficient allocation of flow rates and times. A well-designed water distribution model can shorten irrigation durations, reduce canal water delivery losses, and improve irrigation water utilization efficiency. In this study, five optimal water distribution models were selected for comparison: Irrigation Model 1 (upstream-to-downstream irrigation), Irrigation Model 2 (downstream-to-upstream irrigation), Irrigation Model 3 (continuous irrigation between groups, with rotational irrigation within groups), Irrigation Model 4 (rotational irrigation between groups, with continuous irrigation within groups), and Irrigation Model 5 (rotational irrigation-based optimal distribution). These models were applied to the Fengqigou branch canal in the Bojili Irrigation District. The advantages and disadvantages of each model were analyzed from five perspectives: total water distribution duration; utilization of canal infrastructure; leakage losses in canal delivery; volume of abandoned water; and operability for irrigation managers. The results indicated that Irrigation Models 1 and 2 are easy to manage, and result in minimal leakage losses for upper-level canals. Irrigation Models 3 and 4 exhibit shorter total irrigation durations and lower water abandonment rates. However, Irrigation Model 5 requires optimization of idle times to enhance its applicability.
A Practical and Effective Artemia Hatching Method to Eliminate Covert Mortality Nodavirus (CMNV)
Authors: Lu Zhangwang , Wang Jun , Jiang Donghuo , Wang Yan , Jiang Hui G.
Published: February 2025

The covert mortality nodavirus (CMNV), an emerging pathogen that infects several species severely in aquaculture, including marine shrimps, freshwater prawns, and crabs, has been detected in both wild Artemia and commercial Artemia cysts. Utilization of Artemia from unknown sources can impose considerable biosecurity risks in hatchery operations; therefore, effective hatching methods to eliminate the pathogenic potential from CMNV-positive (CMNV+) Artemia cysts are urgently needed. In this work, we assessed the efficacy of three treatment methods of disinfecting CMNV+ Artemia cysts during hatching: (1) decapsulation of Artemia cysts with Na2CO3 (sodium carbonate) and NaClO (sodium hypochlorite) at various durations before hatching; (2) application of different concentrations of formalin in hatching water; (3) combinations of decapsulating Artemia cysts and formalin-treated hatching water. Hatching CMNV+ Artemia with disinfected seawater only served as the control. The virus located on the cyst shells attached/infected Artemia larvae during hatching and remained active for a prolonged time of 7 days. The viral load of empty shells decreased with the decapsulation treatment time. After a 45 min treatment of decapsulation, CMNV on shells, as well as larvae, were eliminated successfully. Furthermore, decapsulation shortened the hatching time of the cysts from 19 h to 12 h. Ten ppm formalin in the hatching water could block the transmission of CMNV from the shells to the newly hatched larvae, although at this level it was insufficient to eliminate the virus from the shells completely. While use of 30 ppm formalin or higher dosage could eliminate CMNV, however, it also reduced the hatching rates of the Artemia cysts. A combination of decapsulation (treated with Na2CO3-NaClO for 15 min) and 10 ppm formalin in hatching water effectively eliminated the CMNV. This study developed a practical, effective, and reliable treatment method for hatching Artemia to ensure biosecurity in aquaculture hatcheries.
Flow Field Modeling Analysis on Kitchen Environment with Air Conditioning Range Hood
Authors: Huang Xiaoying , Shen Zhihang , Zhang Shunyu , Tan Yongqiang , Li Ang , Yu Bingsong , Jiang Yi , Peng Liang , Chen Zhenlei
Published: February 2025

This study proposes a flow field modeling analysis of kitchen environments with air-conditioning range hoods. The substructure approach is applied to resolve the challenges of low computational efficiency and convergence difficulties associated with the simultaneous consideration of the range hood and the cooling air-conditioning fan impeller rotation models. The presented approach effectively enhances computational efficiency while ensuring accuracy. A flow field analysis of the air-conditioning substructure was performed in Fluent to obtain the velocity contour plot at the air-conditioning outlet monitoring surface. The data were then mapped to the full kitchen hood model to enable a comprehensive flow field analysis of the kitchen setup. The results show that the proposed substructure-based method to analyze the flow field in kitchens with air-conditioning hoods is computationally efficient, achieving an alignment accuracy above 95% across four measurement points. These findings establish a strong foundation for future comfort assessments and the optimization of kitchens with air-conditioning hoods.
Solvability of Singular Fractional-Order Differential Equations with a Perturbation Term
Authors: Kong Linghan , Wang Yongqing
Published: February 2025

In this article, we study singular fractional-order differential equations with a variable coefficient, namely the linear operator of the differential equation containing a linear term with a variable coefficient. The coefficient a(s) permits singularity at s=0, 1, and the nonlinearity f(s,χ) may be singular at s=0, 1 and χ=0. By utilizing the fixed-point index theory, the existence of positive solutions are derived under sharp conditions concerning spectral radius.
Reusing ML Models in Dynamic Data Environments: Data Similarity-Based Approach for Efficient MLOps
Authors: Peixoto Eduardo , Torres Diogo , Carneiro Davide , Silva Bruno , Marques Ruben
Published: February 2025

The rapid integration of Machine Learning (ML) in organizational practices has driven demand for substantial computational resources, incurring both high economic costs and environmental impact, particularly from energy consumption. This challenge is amplified in dynamic data environments, where ML models must be frequently retrained to adapt to evolving data patterns. To address this, more sustainable Machine Learning Operations (MLOps) pipelines are needed for reducing environmental impacts while maintaining model accuracy. In this paper, we propose a model reuse approach based on data similarity metrics, which allows organizations to leverage previously trained models where applicable. We introduce a tailored set of meta-features to characterize data windows, enabling efficient similarity assessment between historical and new data. The effectiveness of the proposed method is validated across multiple ML tasks using the cosine and Bray–Curtis distance functions, which evaluate both model reuse rates and the performance of reused models relative to newly trained alternatives. The results indicate that the proposed approach can reduce the frequency of model retraining by up to 70% to 90% while maintaining or even improving predictive performance, contributing to more resource-efficient and sustainable MLOps practices.
Biomedical Applications of Big Data and Artificial Intelligence
Authors: Pei Yan , Yang Jijiang
Published: February 2025

This Special Issue of Bioengineering is dedicated to the profound impact of big data and artificial intelligence (AI) in the fields of biomedical research and healthcare. In an age defined by the rapid evolution of technology, this Issue explores the dynamic intersection of AI and data science with medicine. A total of 14 papers were accepted after a thorough review process, with their topics including disease diagnosis, medical data analysis, image processing, personalized medicine, pathological image segmentation, survival prediction, cognitive load assessment, and medical knowledge extraction. These studies aim to enhance medical image analysis, signal processing, data prediction, and interpretability to improve diagnostic accuracy, medical efficiency, and personalized treatment plans for patients. We hope the publication of this Special Issue can offer a comprehensive view of the transformative power of these innovative approaches and enrich research and investigations into the applications of big data and AI in biomedical research and healthcare.
Neuro-Nutrition and Exercise Synergy: Exploring the Bioengineering of Cognitive Enhancement and Mental Health Optimization
Authors: Clemente-Suárez Vicente Javier , Martín-Rodríguez Alexandra , Curiel-Regueros Agustín , Rubio-Zarapuz Alejandro , Tornero-Aguilera José Francisco
Published: February 2025

The interplay between nutrition, physical activity, and mental health has emerged as a frontier in bioengineering research, offering innovative pathways for enhancing cognitive function and psychological resilience. This review explores the neurobiological mechanisms underlying the synergistic effects of tailored nutritional strategies and exercise interventions on brain health and mental well-being. Key topics include the role of micronutrients and macronutrients in modulating neurogenesis and synaptic plasticity, the impact of exercise-induced myokines and neurotrophins on cognitive enhancement, and the integration of wearable bioelectronics for personalized monitoring and optimization. By bridging the disciplines of nutrition, psychology, and sports science with cutting-edge bioengineering, this review highlights translational opportunities for developing targeted interventions that advance mental health outcomes. These insights are particularly relevant for addressing global challenges such as stress, anxiety, and neurodegenerative diseases. The article concludes with a roadmap for future research, emphasizing the potential of bioengineered solutions to revolutionize preventive and therapeutic strategies in mental health care.
RNA-Binding Protein Signature in Proliferative Cardiomyocytes: A Cross-Species Meta-Analysis from Mouse, Pig, and Human Transcriptomic Profiling Data
Authors: Nguyen Thanh , Hao Kaili , Nakada Yuji , Guragain Bijay , Yao Peng , Zhang Jianyi
Published: February 2025

In mammals, because cardiomyocytes withdraw from cell-cycle activities shortly after birth, the heart cannot repair the damage caused by a myocardial injury; thus, understanding how cardiomyocytes proliferate is among the most important topics in cardiovascular sciences. In newborn neonatal mammals, when a left ventricular injury is applied in hearts earlier than postnatal day 7, the cardiomyocytes actively proliferate and regenerate lost myocardium in the following weeks. The regulators promoting cardiomyocyte proliferation were discovered by analyzing transcriptomic data generated from models. Most of these regulators support the mRNA production of cell-cycle machinery, yet the mRNA requires translation into functional proteins under the regulation of RNA-binding proteins (RBPs). In this work, we performed a meta-analysis to study the relationship between RBP expression and cardiomyocyte proliferation. To identify RBPs associated with mouse and pig cardiomyocyte proliferation, the single-nuclei RNA sequencing (snRNA-seq) data from regenerating mouse and pig hearts were reanalyzed via an Autoencoder focusing on RBP expression. We also generated and analyzed new bulk RNA-seq from two human-induced pluripotent stem cell-derived (hiPSC) cardiomyocyte (hiPSC-CM) cell lines; the first cell line was harvested sixteen days after differentiation, when the cells still actively proliferated, and the second cell line was harvested one hundred and forty days after differentiation, when the cells ceased cell cycle activity. Then, the RBP associated with mouse, pig, and hiPSC-CM were compared across species. Twenty-one RBPs were found to be consistently upregulated, and six RBPs were downregulated in proliferating mouse, pig, and hiPSC-derived cardiomyocytes. Among upregulated RBPs across species, an immunofluorescence-based imaging analysis validated the significant increase in the proteins of DHX9, PTBP3, HNRNPUL1, and DDX6 in pig hearts with proliferating CMs. This meta-analysis in all species demonstrated a strong relationship between RBP expression and cardiomyocyte proliferation.
New Advances in Chronic Kidney Disease: Biology, Diagnosis and Therapy
Authors: Coimbra Susana , Santos-Silva Alice
Published: February 2025

Chronic kidney disease (CKD) is characterized by a progressive and usually irreversible deterioration of renal function [...]
Biomimicry-Based Design of Underground Cold Storage Facilities: Energy Efficiency and Sustainability
Authors: Kshirsagar Mugdha , Kulkarni Sanjay , Meena Ankush Kumar , D’costa Danby Caetano , Bhagwat Aroushi , Siddiqui Md Irfanul Haque , Dobrotă Dan
Published: February 2025

Underground cold storage gives rise to special challenges that require innovative solutions to ensure maximum energy efficiency. Conventional energy systems tend to be based on high energy use, so sustainable solutions are crucial. This study explores the novel idea of biomimetics and how it might be used in the planning and building of underground cold storage facilities as well as other infrastructure projects. Biomimetic strategies, inspired by termite mounds, gentoo penguin feathers, and beehive structures, are applied to minimize reliance on energy-intensive cooling systems. These natural models offer efficient thermal regulation, airflow optimization, and passive cooling mechanisms such as geothermal energy harvesting. The integration of naturally driven convection and ventilation ensures stable internal temperatures under varying conditions. Biomimicry was employed in Revit Architecture, coupled with structural optimization, to eliminate urban space’s limitations and further increase energy efficiency. The analytical work for this paper utilized a set of formulas that represent heat flow, thermal resistance, R-value, thermal transmittance, U-value, solar absorption, and G-value. The results pointed to very good insulation, with exterior walls having an R-value of 10.2 m2K/W and U-value of 0.98 W/m2K. Among the chosen 3-layer ETFE cushion with a U-value of 1.96 W/m2K, with a G-value of 0.50, showed good heat regulation and daylight management. Furthermore, bagasse-cement composites with a very low thermal conductivity of 0.10–0.30 W/m·K provided good insulation. This research proposes a scalable and sustainable approach in the design of underground cold storage by merging modelling based on Revit with thermal simulations. Biomimicry has been demonstrated to have the potential for changing subterranean infrastructure, conserving energy consumption, and creating eco-friendly construction practices.
The Personal Glucose Meter as the Measurement Principle in Point-of-Care Applications
Authors: Cano Mònica , del Valle Manel
Published: February 2025

A personal glucose meter (PGM) is a medical device that measures blood glucose levels and can be found worldwide. Owing to their sensitivity, simplicity, portability, and low cost, PGMs stand as one of the most frequently utilized analytical methods. This work reviews the different applied methodologies for detecting analytes other than glucose employing a PGM and how it can be incorporated for point-of-care diagnosis needs. To visualize the variants, first, a classification is made according to the biorecognition elements used (aptamers, antibodies, etc.), and where the determination of different analytes is done through the glucose signal using different glucose-generating enzymes such as invertase or glucosidase. Transduction can also be based on the use of nanocarriers that generally encapsulate glucose, although it is also possible to find a combination of the two aforementioned strategies. The PGM can also be used for the direct detection of interfering substances of the biosensor, such as NADH or paracetamol. Lastly, we discuss how a PGM might have been implemented to detect COVID-19 and how it could be used on a massive scale for the point-of-care diagnosis of a pandemic.
High-Precision Field- Effect Transistor Biosensor for Analyzing Differential Effects of Anti-Cancer Drugs on Cancerous and Non-Cancerous Cells
Authors: Li Can , Hu Can , Li Ling , He Feng , Li Xiaofei
Published: February 2025

A high-precision biosensor technique is introduced, offering the capability to independently evaluate the effects of anti-cancer drugs on both cancerous (RAJI) and non-cancerous (WIL2S) cells. By analyzing and fitting current change curves and transfer characteristic curves under two drugs, camptothecin and doxorubicin, this technique quantifies both the magnitude of drug-induced current changes in cells and the rate of drug entry into cells. Flow cytometry was utilized to validate the entry rates of two drugs, camptothecin and doxorubicin, into the cells. The biosensor leverages the exceptional sensitivity of two-dimensional electron gas to detect proximal charge variations at ultralow concentrations, even in fluids with high ionic strength. The findings reveal that anti-cancer drugs have a more pronounced impact on tumor cells, with the effects and interaction speeds differing across normal cells and tumor cells. This innovative approach not only enhances our understanding of the specificity and action mechanisms of anti-cancer drugs but also provides a valuable tool for screening potential tumor anti-cancer drugs and advancing targeted cancer therapies.
The Paradox of AI Empowerment in Primary School Physical Education: Why Technology May Hinder, Not Help, Teaching Efficiency
Authors: Zha Haoran , Li Wenye , Wang Weihao , Xiao Jian
Published: February 2025

This study investigates why artificial intelligence (AI) may hinder rather than enhance teaching efficiency in primary school physical education (PE). Guided by socio-technical systems theory, we conducted focus group interviews with 13 PE teachers (6 from Nanjing and 7 from Chongqing, China) who had at least three years of teaching experience and two years of AI implementation experience. Participants were purposefully selected through a two-stage sampling strategy: initial screening via open-ended questionnaires to identify teachers reporting negative experiences with AI integration, followed by snowball sampling to recruit additional participants with similar perspectives. Data collection employed a dual-facilitator approach using semi-structured interviews, with one moderator guiding discussions while another observed non-verbal cues. Qualitative content analysis revealed key barriers across four dimensions: technological (interface complexity, infrastructure limitations), employee (professional identity conflicts, interpersonal tensions), task-related (real-time monitoring challenges, reduced pedagogical flexibility), and organizational (inadequate support systems, unclear implementation policies). These findings suggest that successful AI integration in PE requires a holistic approach addressing both technological and human factors, rather than focusing solely on technological advancement. The study contributes to understanding how socio-technical interactions uniquely manifest in physically active learning environments.
Experimental Investigation on Flexural Behavior of Precast Segmental Ultra-High-Performance Concrete Box-Girder with External Tendons for Long-Span Highway Bridges
Authors: Zhao Hua , Luo Sui , Hu Junde , Tan Chengjun , Qian Peirou , Qian Huangguo , Liao Zhilian , Hu Zhentao , Yi Dutao
Published: February 2025

A precast concrete segmental box-girder bridge (PCSBGB) is one of the most popular styles of Accelerated Bridge Construction (ABC). To address some common challenges (low durability, poor integrity, and construction inconvenience) in PCSBGBs, this paper proposes a precast ultra-high-performance concrete (UHPC) segmental box-girder bridge (PUSBGB). In comparison to conventional PCSBGBs that use three-dimensional prestress, the PUSBGB adopts only one-dimensional (longitudinal) prestress. In addition, the thickness of the bottom/top plate and web of the UHPC box-girder are relatively thin, and as a result, the self-weight is significantly reduced. Considering the fact that the thickness of box-girder is thinner than the NC structure, the shear lag effect and risk of girder cracking may correspondingly increase when a PUSBGB is adopted in a long-span bridge. Thus, it is of essential necessity to explore the flexural behavior of a PUSBGB. In this work, a specimen with a scale (1:4) associated with a field bridge (a 102 m long simply supported PUSBGB with externally unbonded tendons) is fabricated and experimentally investigated. The mechanical behaviors of the PUSBGB are discussed, including the failure mode, the crack distribution pattern, the longitudinal strain of the UHPC plate, and the variation of tendon strain. It is found that in the elastic stage, the top slab of the UHPC box girder exhibits a significant shear lag effect, and this phenomenon is even more obvious after cracking. With the development of the cracks, the effective flange width is decreased (with a minimum value of 0.76), and the second-order effect is kept the same before the dominant crack appears (the reduction factor is around 0.95). Moreover, four existing code equations, e.g., ACI 440, ACI 318, ASSHTO, BS 8100, used to predict the stress in the externally unbonded tendons are examined. Furthermore, a finite element analysis (FEA) of the field bridge is conducted, and the theoretical calculation demonstrates that the flexural resistances of the proposed PUSBGB can comply with the design requirements of Chinese code under the ultimate limit states (ULSs).
Enhancement of Mechanical Properties, Wettability, Roughness, and Thermal Insulation of Epoxy–Cement Composites for Building Construction
Authors: Jasim Saif M. , Ali Nadia A. , Hussein Seenaa I. , Al Bahir Areej , Abd EL-Gawaad Nashaat S. , Sedky Ahmed , Mebed Abdelazim M. , Abd-Elnaiem Alaa M.
Published: February 2025

In this study, epoxy–cement composites with different concentrations of cement nanofiller and ~67.5 nm in size (0, 5, 10, 15, and 20 wt%) were synthesized using the solution casting method. The epoxy–cement composites’ structural, mechanical, wettability, roughness, and thermal insulation were investigated. The synthesized epoxy resin is amorphous, whereas epoxy–cement composites are crystalline, and its crystallinity depends on the filler ratio. The incorporated cement hindered the spread of cracks and voids in the composite with few illuminated regions, and the epoxy/cement interface was identified. The Shore D hardness, impact strength, and flexural strength gradually increased to 92.3, 6.1 kJ/m2, and 40.6 MPa, respectively, with an increase in the cement ratio up to 20 wt%. In contrast, the incorporation of a cement ratio of up to 20 wt% reduced thermal conductivity from 0.22 to 0.16 W/m·K. These findings indicated that resin and cement nanoparticle fillers affected the chemical composition of epoxy, which resulted in high molecular compaction and thus strong mechanical resistance and enhanced thermal insulation. The roughness and water contact angle (WCA) of epoxy increased by increasing the cement nanofiller. In contrast, the surface energy (γ) of a solid surface decreased, indicating an inverse relation compared to the behavior of roughness and WCA. The reduction in γ and the creation of a rough surface with higher WCA can produce a suitable hydrophobic surface of lower wettability on the epoxy surface. Accordingly, the developed epoxy–cement composites benefit building construction requirements, among other engineering applications.
Comprehensive Performance Evaluation of Steel Slag–Slag–Desulfurization Gypsum Ternary Solid Waste Cementitious Material Based on Principal Component Analysis
Authors: Wang Mengqi , Xu Jian , Li Tao , Liu Hui , Qu Lei
Published: February 2025

Leveraging industrial solid waste for the production of cementitious materials holds the potential to curtail the consumption of traditional cement. Orthogonal tests were conducted to investigate the effects of five factors, namely, steel slag–slag mass ratio, desulfurization gypsum content, water glass modulus, alkali content, and water–binder ratio, on the working performance, mechanical properties, and durability of alkali-activated ternary solid waste cementitious materials. Grey correlation degree (GCD) analysis was employed to investigate the impact of different factors on performance, while the micro-reaction mechanism was elucidated through X-ray diffraction (XRD) patterns and Fourier infrared spectroscopy (FT-IR) spectra. Principal component analysis (PCA) was employed to conduct dimensionality reduction on the fluidity, compressive strength, flexural strength, and 28-day drying shrinkage of the cementitious materials for assessing the comprehensive performance of the ternary solid waste cementitious material. The highest score was achieved with a steel slag mass ratio of 1:2, a desulfurization gypsum content of 10%, a water glass modulus of 1.0, an alkali content of 3%, and a water–binder ratio of 0.4 due to the excellent properties of the resulting materials, which made them suitable for a wide range of engineering applications. A comprehensive performance evaluation model of ternary solid waste cementitious materials was developed via the principal component regression (PCR) method. Ettringite and CaSO4·2H2O generated after adding desulfurization gypsum can significantly improve the specimens’ early strength, with the desulfurization gypsum content being the key influencing factor. The dry shrinkage of this ternary solid waste cementitious material was affected by various factors and showed no significant correlation with the mass loss rate.
Spatial and Temporal Distribution Characteristics and Value Cognition of Shaanxi’s Hospital Heritage
Authors: Lv Jing , Yang Haozhong , Chen Yalan , Du Kecheng , Wang Shuai , Li Mengchen , Zhao Tingting
Published: February 2025

This study investigates 101 hospital heritage sites in Shaanxi (1889–1992). It addresses the lack of a standardized definition and fragmented research on Chinese hospital heritage. Data were collected from Shaanxi local records, hospital architectural documents, and satellite imagery. These were supplemented by interviews with 33 stakeholders directly involved in or associated with hospital heritage conservation to assess heritage values. GIS analysis revealed four distinct spatiotemporal stages: Introduction of Western medicine (1889–1936), Medical care in time of war (1937–1949), The healthcare system after the establishment of PRC (1950–1978), and Healthcare reform in the context of economic transition (1979–1992). Significant regional disparities were observed across these stages. Spatiotemporal analysis of historical and contemporary satellite imagery revealed three conservation patterns of original sites. To assess multidimensional values, grounded theory analysis identified nine main dimensions (including emotional significance, cluster value, and technological heritage) with 31 initial categories exhibiting complex interdependencies. Collectively, the findings highlight systemic challenges in Shaanxi’s hospital heritage conservation, particularly neglect and incompatible reuse, underscoring urgent protection needs. This framework provides theoretical underpinnings for optimizing hospital heritage resource allocation and implementing sustainable conservation strategies.
Behavioral Correlation-Based Residential Space Modularization Using Design Structure Matrix and Fuzzy C-Means Clustering Algorithm
Authors: Zeng Fanbo , Rao Xiaojun , Lei Jianhua , Huo Xujie , Shi Yuan , Ai Deng
Published: February 2025

This study introduces an automated method for constructing residential functional modules from the perspective of user behavior. By integrating the design structure matrix (DSM) and Fuzzy C-Means Clustering Algorithm (FCM), this approach systematically explores architectural functional modules. The DSM is employed to statistically analyze the correlations between residential behaviors. These correlations are then processed using FCM to generate various module segmentation schemes. The optimal scheme is selected based on modularity calculations. The results demonstrate improved modularity compared to traditional room-based designs, offering a greater variety of combinations and hierarchical organization. This methodology provides architects with a novel approach to address space integration challenges.
Updates on the Biological Heterogeneity of Mantle Cell Lymphoma
Authors: Ip Andrew , Kabat Maciej , Fogel Lindsay , Alkhatatneh Hassan , Voss Jason , Gupta Amolika , Della Pia Alexandra , Leslie Lori A. , Feldman Tatyana , Albitar Maher , Goy Andre H.
Published: February 2025

Advancements in mantle cell lymphoma (MCL) have illuminated the disease’s molecular diversity, leading to a wide variation in the outcomes observed in MCL. Current prognostic risk scores are continuously revised to incorporate new updates in the mechanistic or biologic understanding of MCL. Nevertheless, key high-risk features of MCL associated with rapid disease progression and poor survival, such as TP53 mutations, complex karyotypes, and blastoid or pleomorphic morphologies, remain absent from available prognostic tools. The greater accessibility of genomic technologies, such as next-generation sequencing (NGS), has enabled clinicians to identify specific genetic alterations that serve as prognostic signals and disease monitoring parameters, cultivating accurate risk profiling that is illustrative of MCL heterogeneity. Through an increased understanding of distinct MCL behaviors, novel therapies that mechanistically target disease biology, including Bruton’s tyrosine kinase inhibitors, BCL-2 inhibitors, ROR1 inhibitors, and bispecific T-cell engagers, have broadened the treatment armamentarium for relapsed/refractory MCL cases. These interventions, in addition to chemoimmunotherapy and autologous stem cell transplantation mainstays, confer the individualization of treatment and improved survival outcomes. Further exploration of the considerable biological heterogeneity of MCL can enhance knowledge, management, and the treatment of this rare lymphoma subtype.
Comment on Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33
Authors: Okura Taro , Sakata Ken-ichiro , Itagaki Tatsuki
Published: February 2025

Pu et al [...]
The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments
Authors: Momoli Carolina , Costa Beatrice , Lenti Lorenzo , Tubertini Matilde , Parenti Marco Daniele , Martella Elisa , Varchi Greta , Ferroni Claudia
Published: February 2025

The development of anticancer therapies has increasingly relied on advanced 3D in vitro models, which more accurately mimic the tumor microenvironment compared to traditional 2D cultures. This review describes the evolution of these 3D models, highlighting significant advancements and their impact on cancer research. We discuss the integration of machine learning (ML) and artificial intelligence (AI) in enhancing the predictive power and efficiency of these models, potentially reducing the dependence on animal testing. ML and AI offer innovative approaches for analyzing complex data, optimizing experimental conditions, and predicting therapeutic outcomes with higher accuracy. By leveraging these technologies, the next generation of 3D in vitro models could revolutionize anticancer drug development, offering effective alternatives to animal experiments.
HPV-16-Induced Squamous Cell Carcinoma in Hidradenitis Suppurativa: HPV Vaccination May Be Useful
Authors: Abu Rached Nessr , Käpynen Riina , Doerler Martin , Ocker Lennart , Frost Carolin , Haven Yannik , Bechara Falk G.
Published: February 2025

Introduction: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease associated with significant morbidity. Although cutaneous squamous cell carcinoma (cSCC) is a rare complication, it has serious consequences, particularly when associated with high-risk human papillomavirus (HPV) infections. This study examines two cases of HPV-16-induced cSCC in patients with long-standing HS and explores the potential role of HPV vaccination in preventing such malignancies. Methods and results: We report on two male patients with severe HS (Hurley stage III) and cutaneous squamous cell carcinoma with positive detection of HPV DNA in the tumour tissue. Conclusions: HPV vaccination may offer a preventive approach to cSCC in HS patients by reducing high-risk HPV infections. Incorporating vaccination into the management of HS, particularly in high-risk individuals, could potentially reduce the incidence of malignant transformation and improve long-term outcomes. Further research is warranted to validate these findings and refine prevention strategies.
Understanding Cervical Cancer Screening Attendance: Barriers and Facilitators in a Representative Population Survey
Authors: Covaliu Bogdan Florin , Forray Alina Ioana , Tomic Mirela , Vlad Cătălin , Cadariu Patriciu Achimaș , Ungurean Carmen , Melnic Adriana
Published: February 2025

Background/Objectives: Cervical cancer causes high mortality rates globally despite the existence of cervical cancer screening. The purpose of this study is to investigate the factors limiting Romanian women’s participation in cervical cancer screening, focusing on socio-demographic characteristics, health practices, sexual history, and personal health views. Methods: A cross-sectional study was conducted with a representative sample of 1605 women aged 25 to 64 from all regions of Romania. Computer-Assisted Telephone Interviewing was performed in February and March 2020. Logistic regression models assessed the impact of socio-demographic characteristics, psychosocial factors, sexual health history, and personal beliefs on non-participation, which were quantified using the odds ratio. Results: A percentage of 25.1% of women had never been screened for cervical cancer. Higher education and income levels were linked to higher screening rates. The adjusted odds for a lack of HPV awareness were significantly high (aOR: 2.45, 95% CI: 1.85–3.25), highlighting a gap in health knowledge affecting screening behavior. Not receiving a referral to a specialist from the primary care physician (aOR: 2.96, 95% CI: 2.09–4.19) was strongly associated with increased odds of non-participation. Personal beliefs about cancer prevention, health misconceptions, perceived costs, and stigma emerged as significant contributors to cervical cancer screening participation. Conclusions: Analyzing predictors influencing participation in cervical screening is crucial for public health in Romania, which has high cervical cancer mortality and low participation rates in cervical cancer screening. To improve participation, we recommend enhanced physician referrals, HPV awareness campaigns, addressing social stigma, and widespread communication about screening availability.