bluuebunny/crossref_metadata_2025 huggingface dataset:
Habitual water intake impacted the body composition of young male athletes in free-living conditions: a cross-sectional study
Authors: Zhang Jianfen , Zhang Na , Li Yibin , He Hairong , Song Ge , Chen Junying , Yan Yi , Ma Guansheng
Published: October 2024

The study aimed to explore the associations between water intake and body composition and differences of body composition in different water itake and hydration statuses among young male athletes. A cross-sectional study was conducted among 111 young male athletes in Beijing, China. Total drinking fluids (TDF) and water from food were assessed using a 7-day, 24-h fluid intake record questionnaire and the duplicate portion method, respectively. The osmolality of 24-hour urine and blood samples was tested. Body composition was measured using a bioelectrical impedance analyzer twice at 5-min intervals. Participants were divided into two groups based on the recommendations of total water intake (TWI) and TDF in China, as well as into three groups based on 24-h urine osmolality. Pearson's correlation coefficients were calculated to determine the relationship between water intake and body composition. Chi-square tests and Student's t-tests were used to compare differences. A total of 109 participants completed the study. TDF (r = 0.230, p = 0.016; r = 0.234, p = 0.014; r = 0.242, p = 0.011) and TWI (r = 0.275, p = 0.004; r = 0.243, p = 0.011; r = 0.243, p = 0.011) were positively correlated with total body water (TBW), intracellular water (ICW), and extracellular water (ECW). TBW/body weight (BW) was positively associated with TDF percentage of BW (TDF/BW) (r = 0.267, p = 0.005), water from food percentage of BW (r = 0.217, p = 0.024), and TWI percentage of BW (TWI/BW) (r = 0.316, p = 0.001). Participants who met the TDF recommendation of China had 1.3 kg higher skeletal muscle mass (SMM), 0.9 kg higher ICW, and 0.5% higher TBW/BW than those who did not (all p < 0.05), with fat-free mass (FFM) and TBW being higher (p = 0.051; p = 0.050). Those who met the TWI recommendation of China had 1.3 kg higher SMM, 2.4 kg higher FFM, 1.1 kg higher ICW, 0.6 kg higher ECW, and 1.7 kg higher TBW than their counterparts (all p < 0.05). Moderate associations were found between water intake and body composition. No significant differences were observed among participants in three hydration statuses (all p > 0.05). Participants who met the TWI or TDF recommendations had better body composition distribution than their counterparts. Thus, habitual water intake, not hydration status, affects body composition among athletes in free-living conditions.
Különböző mikrobiológiai hátterű MRONJ-ban szenvedő betegek protetikai ellátása és gondozása
Authors: Lakatos Flóra Alíz , Kádár László , Schmidt Péter , König János , Bródy Andrea , Mensch Károly Frigyes
Published: October 2024

A gyógyszer okozta állcsontelhalás (Medication Related Osteonecrosis of the Jaw, MRONJ) egy multifaktoriális eredetűsúlyos állapot, melynek pontos etiológiai tényezői a mai napig nem tisztázottak. A biszfoszfonátokon kívül számos másgyógyszer is felelős az elváltozás kialakulásáért. A MRONJ etiológiája pontosan nem ismert, de a fertőzéses eredetnekegyre nagyobb jelentőséget tulajdonítanak, ezen belül szerepe lehet az Actinomyces törzseknek. Jelen közleménybenkét különböző mikrobiológiájú és ezért eltérő kezelésben részesülő MRONJ-os páciens protetikai rehabilitációját mutatjukbe. Egyik páciens kizárólag sebészi terápiában, míg másik páciens sebészi és hosszú távú konzervatív kezelésbenrészesült, melynek hatására mindketten gyógyultak. Mindkét páciens rendszeresen jár kontrollra, MRONJ kiújulásánakjelei nem mutatkoznak, az elkészült fogpótlásokkal mind funkcionálisan, mind esztétikailag elégedettek.
Non-Destructive Monitoring of Sweet Pepper Samples After Selected Periods of Lacto-Fermentation
Authors: Ropelewska Ewa , Szwejda-Grzybowska Justyna , Wrzodak Anna , Mieszczakowska-Frąc Monika
Published: October 2024

Fermented food is characterized by positive health-promoting properties. The objective of this study was to distinguish and assess the changes in the flesh structure of sweet bell pepper samples after specific periods of fermentation in a non-destructive manner. Two cultivars of pepper, red and yellow, were subjected to lacto-fermentation. The experiments lasted 56 days and the samples were taken for analysis at the beginning of the study (0 days) and after 3, 7, 10, 14, 21, 28, and 56 days. The fermentation process was monitored based on image features, which were used to develop machine learning models distinguishing samples before and after various periods of lacto-fermentation (0, 3, 7, 10, 14, 21, 28, and 56 days). The average accuracy of the classification of red bell pepper samples was up to 93% for the model built using IBk (Lazy group). The yellow bell pepper samples were distinguished up to 90% accuracy by the LMT algorithm (Trees group). The performed study allowed us to determine the changes in pepper flesh in terms of image textures during lacto-fermentation.
Analysis of Selected Macro- and Microelement Components in the Indigenous Soybean Cultivars from Regions of the Western Himalaya in India
Authors: Pant Manu , Negi Tina , Joseph Daisy , Negi Arvind Singh , Nainwal Pankaj , Badoni Himanshu , Raman Arasu , Pant Gaurav
Published: October 2024

The need to focus on traditional crops for food security has been realized across the globe. ‘Bhat’ is an indigenous soybean variety from the Indian Himalayan Region that has been neglected in recent times due to changing agricultural choices. The present study was conducted on 52 indigenous soybean accessions collected from different villages of Uttarakhand, a hilly state in Northern India, to determine the concentrations of various macro- and microelements in the crop. The analysis used the HHXRF (handheld X-ray fluorescence) spectroscopic technique and atomic absorption spectroscopy (AAS). The findings reveal that the ‘bhat’ is an extremely nutrient-rich crop with calcium being the most significant macronutrient (highest concentration of 27,300 ppm), followed by phosphorus, potassium, and sulphur found in the bhat seeds. The study suggests that samples from Pauri Garhwal (Gwad Khirsu, Bironkhal, Sripur), Tehri (PratapNagar, Singoli), Chamoli (Paini, and Agastyamuni) villages were rich in all the major macronutrients. Among the micronutrients, silicon was found to be the most dominant with the highest concentration of 1920 ppm. This was followed by the dominance of iron, zinc, and manganese in descending order of abundance. Tipri, Chandola Rai Goonth, Chopdiun, and Paini villages were found to have the highest concentrations of microelements. The statistical data analysis confirms that seed samples from different regions are significantly similar in terms of nutrient concentrations, except for Si and Fe, thereby indicating that ‘bhat’ from any of the villages is equally good for consumption. However, seed samples from certain regions were found to be contaminated with heavy metals, indicating soil pollution, which demands attention towards current agricultural practices. The findings show that the crop is an exceptional source of essential and quasi-essential elements and should be promoted to benefit the hill populations.
De Novo Synthesis of Anticholinergic Hyoscyamine and Scopolamine in Nicotiana benthamiana Based on Elucidating Tropane Alkaloid Biosynthetic Pathway of Anisodus luridus
Authors: Wen Mengling , Zeng Junlan , Qiu Fei , Zhang Fangyuan , Liao Zhihua
Published: October 2024

Anisodus luridus, a perennial herb belonging to the genus Anisodus of the Solanaceae family, is an important Tibetan medicinal plant that produces pharmaceutical tropane alkaloids (TAs) including hyoscyamine and scopolamine. Its high yield of hyoscyamine makes A. luridus a valuable plant source for commercially producing TAs. In this study, we conduct homologous gene research across transcriptome data of different tissues together with functionally tested sequences in Atropa belladonna as a reference and identify 13 candidate genes for TAs biosynthesis in A. luridus. The results show that these 13 TAs biosynthesis genes identified in A. luridus were highly conserved in terms of sequence similarity and gene expression patterns compared to A. belladonna, suggesting that the two species may share the same biosynthetic pathway for TAs biosynthesis. Furthermore, scopolamine was detected in Nicotiana benthamiana leaves when these 13 enzymes were co-expressed in N. benthamiana, which confirmed that these 13 TAs biosynthesis genes are involved in the biosynthesis of TAs. The results of our study not only systematically elucidate the tropane alkaloid biosynthetic pathway of A. luridus, but also realize the de novo synthesis of TAs in N. benthamiana for the first time. It is now possible to make N. benthamiana a potential source for TAs production through synthetic biology techniques.
Effects of Different Straw Returning Periods and Nitrogen Fertilizer Combinations on Rice Roots and Yield in Saline–Sodic Soil
Authors: Xie Yaoru , Zhang Xiuli , Gao Ya , Li Jiaquan , Geng Yanqiu , Guo Liying , Shao Xiwen , Ran Cheng
Published: October 2024

Straw return is an effective management practice for improving physical and chemical properties of saline–sodic soil in Northeast China. Straw decomposition and nutrient release are deeply influenced by soil and climatic factors. In Northeast China, straw decomposes slowly due to the long winter with low temperatures. Therefore, the season of straw return may be a key issue affecting rice. However, the impact of returning straw in different seasons on rice is disregarded and not commonly researched. We conducted a 2-year field experiment, including two residue management treatments: spring straw return treatment (SR) and autumn straw return treatment (AR), each containing five different N rates (0, 90, 180, 270, and 360 kg ha−1) as sub-treatments. The results reveal that, compared with the spring straw returning treatment, the autumn straw returning treatment significantly improved root morphology and root vigor and increased the number of spikes per unit area, which directly increased rice yield by 4.76% (2020) and 6.62% (2021). In addition, rice yield showed an increasing and then decreasing trend with the increase in N fertilizer application, and it was at its maximum when the N application rate was 270 kg ha−1. Compared to the spring straw return treatment, the autumn straw return treatment was able to reduce 31.46% (2020) and 38.48% (2021) of N fertilizer application without decreasing rice yield. Our findings demonstrate that straw return combined with nitrogen fertilization may be a promising management practice for improving rice root systems and yield in saline–sodic soils, and under the conditions of the autumn straw returning treatment, the best nitrogen fertilizer application rate was 270 kg ha−1.
Machine Learning Models Informed by Connected Mixture Components for Short- and Medium-Term Time Series Forecasting
Authors: Gorshenin Andrey K. , Vilyaev Anton L.
Published: October 2024

This paper presents a new approach in the field of probability-informed machine learning (ML). It implies improving the results of ML algorithms and neural networks (NNs) by using probability models as a source of additional features in situations where it is impossible to increase the training datasets for various reasons. We introduce connected mixture components as a source of additional information that can be extracted from a mathematical model. These components are formed using probability mixture models and a special algorithm for merging parameters in the sliding window mode. This approach has been proven effective when applied to real-world time series data for short- and medium-term forecasting. In all cases, the models informed by the connected mixture components showed better results than those that did not use them, although different informed models may be effective for various datasets. The fundamental novelty of the research lies both in a new mathematical approach to informing ML models and in the demonstrated increase in forecasting accuracy in various applications. For geophysical spatiotemporal data, the decrease in Root Mean Square Error (RMSE) was up to 27.7%, and the reduction in Mean Absolute Percentage Error (MAPE) was up to 45.7% compared with ML models without probability informing. The best metrics values were obtained by an informed ensemble architecture that fuses the results of a Long Short-Term Memory (LSTM) network and a transformer. The Mean Squared Error (MSE) for the electricity transformer oil temperature from the ETDataset had improved by up to 10.0% compared with vanilla methods. The best MSE value was obtained by informed random forest. The introduced probability-informed approach allows us to outperform the results of both transformer NN architectures and classical statistical and machine learning methods.
Goondapyrones A–J: Polyketide α and γ Pyrone Anthelmintics from an Australian Soil-Derived Streptomyces sp.
Authors: Jin Shengbin , Bruhn David F. , Childs Cynthia T. , Burkman Erica , Moreno Yovany , Salim Angela A. , Khalil Zeinab G. , Capon Robert J.
Published: October 2024

An investigation of ×19 soil samples collected under the auspices of the Australian citizen science initiative, Soils for Science, returned ×559 chemically dereplicated microbial isolates, of which ×54 exhibited noteworthy anthelmintic activity against either the heartworm Dirofilaria immitis microfilaria and/or the gastrointestinal parasite Haemonchus contortus L1–L3 larvae. Chemical (GNPS and UPLC-DAD) and cultivation (MATRIX) profiling prompted a detailed chemical investigation of Streptomyces sp. S4S-00196A10, which yielded new anthelmintic polyketide goondapyrones A–J (1–10), together with the known actinopyrones A (11) and C (12). Structures for 1–12 were assigned on the basis of detailed spectroscopic and chemical analysis, with preliminary structure activity relationship analysis revealing selected γ-pyrones >50-fold and >13-fold more potent than isomeric α-pyrones against D. immitis mf motility (e.g., EC50 0.05 μM for 1; EC50 2.7 μM for 5) and H. contortus L1–L3 larvae development (e.g., EC50 0.58 μM for 1; EC50 8.2 μM for 5), respectively.
Gut Microbiota and New Microbiome-Targeted Drugs for Clostridioides difficile Infections
Authors: Lee Ahran , Yoo Jung Sik , Yoon Eun-Jeong
Published: October 2024

Clostridioides difficile is a major causative pathogen for antibiotic-associated diarrhea and C. difficile infections (CDIs) may lead to life-threatening diseases in clinical settings. Most of the risk factors for the incidence of CDIs, i.e., antibiotic use, treatment by proton pump inhibitors, old age, and hospitalization, are associated with dysbiosis of gut microbiota and associated metabolites and, consequently, treatment options for CDIs include normalizing the composition of the intestinal microbiome. In this review, with an introduction to the CDI and its global epidemiology, CDI-associated traits of the gut microbiome and its metabolites were reviewed, and microbiome-targeting treatment options were introduced, which was approved recently as a new drug by the United States Food and Drug Administration (U.S. FDA), rather than a medical practice.
The Synergy of Machine Learning and Epidemiology in Addressing Carbapenem Resistance: A Comprehensive Review
Authors: Sakagianni Aikaterini , Koufopoulou Christina , Koufopoulos Petros , Feretzakis Georgios , Kalles Dimitris , Paxinou Evgenia , Myrianthefs Pavlos , Verykios Vassilios S.
Published: October 2024

Background/Objectives: Carbapenem resistance poses a significant threat to public health by undermining the efficacy of one of the last lines of antibiotic defense. Addressing this challenge requires innovative approaches that can enhance our understanding and ability to combat resistant pathogens. This review aims to explore the integration of machine learning (ML) and epidemiological approaches to understand, predict, and combat carbapenem-resistant pathogens. It examines how leveraging large datasets and advanced computational techniques can identify patterns, predict outbreaks, and inform targeted intervention strategies. Methods: The review synthesizes current knowledge on the mechanisms of carbapenem resistance, highlights the strengths and limitations of traditional epidemiological methods, and evaluates the transformative potential of ML. Real-world applications and case studies are used to demonstrate the practical benefits of combining ML and epidemiology. Technical and ethical challenges, such as data quality, model interpretability, and biases, are also addressed, with recommendations provided for overcoming these obstacles. Results: By integrating ML with epidemiological analysis, significant improvements can be made in predictive accuracy, identifying novel patterns in disease transmission, and designing effective public health interventions. Case studies illustrate the benefits of interdisciplinary collaboration in tackling carbapenem resistance, though challenges such as model interpretability and data biases must be managed. Conclusions: The combination of ML and epidemiology holds great promise for enhancing our capacity to predict and prevent carbapenem-resistant infections. Future research should focus on overcoming technical and ethical challenges to fully realize the potential of these approaches. Interdisciplinary collaboration is key to developing sustainable strategies to combat antimicrobial resistance (AMR), ultimately improving patient outcomes and safeguarding public health.
Shape-Memory Property Acting as a Switch to Change the Surface Property of the Film
Authors: Yoshida Takumi , Hoshi Toru , Aoyagi Takao
Published: October 2024

Shape-memory polyester films having functional groups were prepared and further grafted onto poly(N-isopropylacrylamide) (PNIPAAm) via atom-transfer radical polymerization. The grafting point of PNIPAAm was controlled by changing the composition of good and poor solvents. In the case of graft polymerization using only good solvents, the film swells, and polymerization proceeds not only from the surface but also from the internal polymerization initiation points. By increasing the proportion of poor solvents, PNIPAAm was grafted onto the surface of the film without swelling. The samples grafted to the interior regions of the film exhibited a decrease in the shape-memory recovery rate and recovery speed, whereas the samples grafted only to the surface of the film exhibited high shape-memory properties. Furthermore, contact-angle measurements revealed that the surface-grafted polymer exhibited changes in surface properties in response to film deformation. Because the deformation of the film is a large change, on the order of several millimeters, the deformation of the manually stretched film was shown to control molecular-level changes on the surface.
Software-Defined Platform for Global Navigation Satellite System Antenna Array Development and Testing
Authors: Gomes Diogo , Baptista Diogo , Dinis Hugo , Mendes Paulo M. , Lopes Sérgio
Published: October 2024

With the increasing demand for accurate and robust positioning solutions, the use of GNSS antenna arrays has gained significant attention. However, their development and testing are frequently constrained by the inflexibility of traditional hardware platforms, often requiring extensive reconfiguration throughout the development cycle. This paper presents a platform based on a system on chip to develop a highly flexible software-controlled system that is capable of directly sampling up to 16 antenna elements. Multibeam digital beamforming is implemented using the available FPGA resources and the resulting signal is reproduced by the integrated DAC and can be connected to any conventional single antenna GNSS receiver. This paper presents the architecture of the platform, detailing its components and capabilities. Our experimental results demonstrate that the system can phase shift every channel with errors of less than 0.5° and can reconfigure 4 simultaneous beams of a 16-antenna array at speeds of 1.2 kHz, and 20 beams at around 400 Hz. The average delay introduced by each channel of the system is around 381 ns with a maximum deviation of 1.05 ns. The delay was also measured for the implementation using 4 beams, which achieves a slightly bigger average delay of 384.6 ns while keeping the variation to 5 to 6 ns. This system is intended to be used as the backbone for the development of antenna arrays and beamforming algorithms. Given its flexibility, it is not necessary to develop new hardware between development iterations or even for different systems, as only the software layer needs to be modified. Consequently, it is possible to expedite the development stage before producing dedicated solutions for industrial applications.
Signal Acquisition and Algorithm Design for Bioimpedance-Based Heart Rate Estimation from the Wrist
Authors: Lapsa Didzis , Metshein Margus , Krivošei Andrei , Janeliukstis Rims , Märtens Olev , Elsts Atis
Published: October 2024

Background: Heart rate (HR) is a critical biomarker that provides insights into overall health, stress levels, and the autonomic nervous system. Pulse wave signals contain valuable information about the cardiovascular system and heart status. However, signal acquisition in wearables poses challenges, particularly when using electrical sensors, due to factors like the distance from the heart, body movement, and suboptimal electrode placement. Methods: Electrical bioimpedance (EBI) measurements using bipolar and tetrapolar electrode systems were employed for pulse wave signal acquisition from the wrist in both perpendicular and distal configurations. Signal preprocessing techniques, including baseline removal via Hankel matrix methods, normalization, cross-correlation, and peak detection, were applied to improve signal quality. This study describes the combination of sensor-level signal acquisition and processing for accurate wearable HR estimation. Results: The bipolar system was shown to produce larger ΔZ(t), while the tetrapolar system demonstrated higher sensitivity. Distal placement of the electrodes yielded greater ΔZ(t) (up to 0.231 Ω) when targeting both wrist arteries. Bandpass filtering resulted in a better signal-to-noise ratio (SNR), achieving 3.6 dB for the best bipolar setup and 4.8 dB for the tetrapolar setup, compared to 2.6 and 3.3 dB SNR, respectively, with the Savitzky–Golay filter. The custom HR estimation algorithm presented in this paper demonstrated improved accuracy over a reference method, achieving an average error of 1.8 beats per minute for the best bipolar setup, with a mean absolute percentage error (MAPE) of 8%. Conclusions: The analysis supports the feasibility of using bipolar electrode setups on the wrist and highlights the importance of electrode positioning relative to the arteries. The proposed signal processing method, featuring a preprocessing pipeline and HR estimation algorithm, provides a proof-of-concept demonstration for HR estimation from EBI signals acquired at the wrist.
A Novel Predictive Modeling for Student Attrition Utilizing Machine Learning and Sustainable Big Data Analytics
Authors: Kok Chiang Liang , Ho Chee Kit , Chen Leixin , Koh Yit Yan , Tian Bowen
Published: October 2024

Student attrition poses significant societal and economic challenges, leading to unemployment, lower earnings, and other adverse outcomes for individuals and communities. To address this, predictive systems leveraging machine learning and big data aim to identify at-risk students early and intervene effectively. This study leverages big data and machine learning to identify key parameters influencing student dropout, develop a predictive model, and enable real-time monitoring and timely interventions by educational authorities. Two preliminary trials refined machine learning models, established evaluation standards, and optimized hyperparameters. These trials facilitated the systematic exploration of model performance and data quality assessment. Achieving close to 100% accuracy in dropout prediction, the study identifies academic performance as the primary influencer, with early-year subjects like Mechanics and Materials, Design of Machine Elements, and Instrumentation and Control having a significant impact. The longitudinal effect of these subjects on attrition underscores the importance of early intervention. Proposed solutions include early engagement and support or restructuring courses to better accommodate novice learners, aiming to reduce attrition rates.
Enhanced Crashworthiness Parameters of Nested Thin-Walled Carbon Fiber-Reinforced Polymer and Al Structures: Effect of Using Expanded Polypropylene Foam
Authors: Yalçın Muhammet Muaz , Özsoy Mehmet İskender
Published: October 2024

The in-plane loading conditions of carbon fiber/epoxy composite (CFRP) and aluminum nested-tube-reinforced expanded polypropylene (EPP) blocks were empirically examined. This study used crashworthiness metrics to estimate the best design configuration under quasi-static loading rates. The experimental phase began with lateral loading testing of single and nested aluminum and CFRP specimen. In-plane crushing experiments were performed on EPP foam blocks reinforced with nested tubes. Both single and nested aluminum tubes had comparable force–response curves and maintained their load-bearing capacity throughout testing. Despite a load-carrying capacity drop above a particular displacement threshold, the CFRP specimens had superior specific energy absorption (SEA) values due to their lightweight nature. The triple-tube nested specimens with two smaller tubes exhibited the best SEA results (1.72 and 1.88 J/g, respectively, for the aluminum and CFRP nested samples). During concurrent tube deformation, the nested samples showed a synergistic connection that increased energy absorption, especially in the EPP foam blocks with reinforced tubes. The study also examined the effects of building nested specimens with aluminum exterior tubes and CFRP inner tubes, and vice versa. This method showed that CFRP tubes within aluminum outer tubes lowered specimen weight (from 93.1 g to 67.7 g) and energy absorption (from 160.2 J to 153.3 J). However, the weight reduction outweighed the energy absorption, increasing SEA values for certain composite material configurations (from 1.72 J/g to 2.26 J/g).
A Two-Stage Damage Localization Method for Structural Sealants Based on Boundary Modal Curvature
Authors: Zhang Xichen , Jiang Kun , Pan Danguang , Fu Xiangqiu , Hu Naidong
Published: October 2024

To facilitate the maintenance of hidden frame glass curtain walls, it is necessary to identify the damage location of the structural sealant accurately. However, detecting concealed sealant damage directly is challenging. This paper proposes a two-stage damage localization method to pinpoint the center of damaged structural sealants. In the first stage, an assurance criterion of boundary modal curvature (ACBMC) is developed to identify damaged edges. In the second stage, the exact damage location is determined by comparing the differences in boundary modal curvature between the undamaged and damaged edges. Two-panel units are analyzed by numerical and model experiments. The results show that the proposed method can effectively identify the damage location of the structural sealant when the damage severity is higher than 4%.
Interdisciplinary Approaches by Polish Orthodontists, Periodontists, and Oral Surgeons to Soft Tissue Augmentation in Adult Patients: A Survey Study
Authors: Kalina Edyta , Machoy Monika , Górski Bartłomiej
Published: October 2024

This study evaluates the preferences of dentists regarding the interdisciplinary treatment of patients with gingival recession (GR) and a thin periodontal phenotype, based on their specialization. A cross-sectional study was conducted among Polish dentists, between May and October 2022, using an online survey. The dentists were first asked to provide details regarding their specialization and the length of their professional career. In the second part of the survey, they responded to questions about the preferred timing of a consultation and soft tissue augmentation in patients who planned to undertake orthodontic treatment (OT). Moreover, factors undermining the decision-making process regarding soft tissue augmentation and the methods used for the evaluation of periodontal tissues were assessed. In total, 554 dentists completed the survey, among whom 328 were orthodontists and 226 were periodontists/oral surgeons. A third of the surveyed periodontists/oral surgeons (33%) reported that they receive referrals from orthodontists prior to OT and 39% of orthodontists indicated that they refer patients for soft tissue augmentation before commencing OT. The majority of periodontists/oral surgeons (51%) and the most significant proportion of orthodontists (45%) agreed that the ideal timing of soft tissue augmentation is dependent on each specific case. Both groups of surveyed dentists considered “planned tooth movement” as the most important factor in clinical decision-making. Among the periodontists/oral surgeons, the most popular methods to assess periodontal tissues were: 3D radiological examination, the visual method, and gingival transparency with the use of a periodontal probe. On the other hand, the surveyed orthodontists preferred the visual method, followed by 2D radiological examination, and then by 3D radiological examination. The majority of surveyed periodontists/oral surgeons and orthodontists agreed that the ideal timing of soft tissue augmentation in patients undertaking orthodontic treatment should be decided on a case-by-case basis, with planned tooth movement being the determining factor.
Tumor Microenvironment and Dermatological Conditions in Prostate Cancer
Authors: Ene Corina Daniela , Capusa Cristina , Nicolae Ilinca , Tampa Mircea , Mitran Madalina Irina , Mitran Cristina Iulia , Dogaru Claudia Ioana , Marin Andrei , Rinja Ecaterina , Matei Clara , Georgescu Simona Roxana
Published: October 2024

Tumor initiation, progression, and invasion are closely related to the tumor microenvironment. Inflammation can modulate the activity of the cells in the TME and contribute to all stages of tumor development. The etiopathogenesis of cutaneous manifestations associated with prostate cancer is unclear. The cutaneous phenotype associated with prostate cancer could be supported by intratumoral heterogeneity, the remodeling of interactions in the tumor microenvironment, and the dynamics of the epithelial–mesenchymal transition. Among the urinary system cancers, prostate cancer presents few cutaneous signs and symptoms, most being diagnosed in the advanced stages of the disease. In this review, we analyze the cutaneous events associated with prostate cancer, represented by direct or indirect manifestations of the primary malignancy and the skin toxicities caused by oncological medications.
Molecular Dynamics Analysis of Hydrogen Diffusion Behavior in Alpha-Fe Bi-Crystal Under Bending Deformation
Authors: Saitoh Ken-ichi , Koga Haruka , Sato Tomohiro , Takuma Masanori , Takahashi Yoshimasa
Published: October 2024

The hydrogen embrittlement (HE) phenomenon occurring in drawn pearlitic steel wires sometimes results in dangerous delayed fracture and has been an important issue for a long time. HE is very sensitive to the amount of plastic deformation applied in the drawing process. Hydrogen (H) atom diffusion is affected by ambient thermal and mechanical conditions such as stress, pressure, and temperature. In addition, the influence of stress gradient (SG) on atomic diffusion is supposed to be crucial but is still unclear. Metallic materials undergoing plastic deformation naturally have SG, such as residual stresses, especially in inhomogeneous regions (e.g., surface or grain boundary). In this study, we performed molecular dynamics (MD) simulation using EAM potentials for Fe and H atoms and investigated the behavior of H atoms diffusing in pure iron (α-Fe) with the SG condition. Two types of SG conditions were investigated: an overall gradient established by a bending deformation of the specimen and an atomic-scale local gradient caused by the grain boundary (GB) structure. A bi-crystal model with H atoms and a GB structure was subjected to bending deformation. For a moderate flexure, bending stress is distributed linearly along the thickness of the specimen. The diffusion coefficient of H atoms in the bulk region increased with an increase in the SG value. In addition, it was clearly observed that the direction of diffusion was affected by the existence of the SG. It was found that diffusivity of the H atom is promoted by the reduction in its cohesive energy. From these MD results, we recognize an exponential relationship between the amount of H atom diffusion and the intensity of the SG in nano-sized bending deformation.
Amine-Terminated Silver Nanoparticles Exhibit Potential for Selective Targeting of Triple-Negative Breast Cancer
Authors: Ahire Jayshree H. , Wang Qi , Tao Yuewei , Chao Yimin , Bao Yongping
Published: October 2024

Silver nanoparticles (AgNPs) demonstrate potential in treating aggressive cancers such as triple-negative breast cancer (TNBC) in preclinical models. To further the development of AgNP-based therapeutics for clinical use, it is essential to clearly define the specific physicochemical characteristics of the nanoparticles and connect these properties to biological outcomes. This study addresses this knowledge gap through detailed investigations into the structural and surface functional relationships, exploring the mechanisms, safety, and efficacy of AgNPs in targeting TNBC. The surface functionality of nanoparticles is crucial not only for their internalization into cancer cells but also for enhancing their toxicity toward tumor cells. Although the nanoparticles internalized into cancer cells, they failed to exhibit their full toxicity against the cancer. Herein we report a solvent-assisted synthesis amine, mercaptohexanol and bifunctional silver nanoparticles and performing comparative study to understand their selectivity and toxicity toward TNBC cells. The nanoparticles are fully characterized by UV–visible absorption spectroscopy, Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and dynamic light scattering measurement (DLS). The synthesis method achieves an extremely high yield and surface coating ratio of synthesized colloidal AgNPs. Our findings reveal that the amine-capped AgNPs exhibit significant selective toxicity against TNBC cell lines MCF7 and MDA-MB-231 at a concentration of 40 µg/mL without affecting normal breast cell lines MCF10A. This study underscores the potential of functionalized AgNPs in developing safe and targeted therapeutic approaches for treating aggressive cancers like TNBC, laying the groundwork for future clinical advancements.
Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling—A Review
Authors: Onatayo Damilola , Onososen Adetayo , Oyediran Abiola Oluwasogo , Oyediran Hafiz , Arowoiya Victor , Onatayo Eniola
Published: October 2024

This study investigates the current landscape of generative AI and LLM applications in architecture, engineering, and construction (AEC), focusing on trends, practical implications, educational strategies, and imperatives for upskilling. Employing a six-stage systematic review sourced from Google Scholar, Scopus and Web of Science, 120 papers were analyzed to provide a comprehensive understanding of the role of these technologies in shaping the future of the AEC industry. By addressing these objectives, the research contributes to enhancing knowledge about the potential impacts of generative AI and LLMs on the AEC industry and provides insights into strategies for leveraging these technologies effectively. This study underscores the transformative impact of AI and advanced technologies on the AEC sector and education. By enhancing learning experiences and optimizing construction processes, AI fosters personalized education and efficient project management. The study’s significance lies in its identification of necessary skills and competencies for professionals, ensuring effective AI integration. Implications include the need for continuous professional development, formal education, and practical training to leverage AI’s potential fully. This paves the way for sustainable, intelligent infrastructure and accessible, adaptive learning environments, driving innovation and efficiency in both fields.
Diachronic Commemoration: The Heritagization Routes to the Built Environment Related to Epidemic Events
Authors: Tan Gangyi , Geng Xuchu , Jia Yanfei
Published: October 2024

In the post-pandemic era, following the recent global crisis, it is essential to recognize the heritagization pathways of built environments associated with epidemic events. By tracing the evolution of heritage linked to these events, analyzing the characteristics of epidemic-related built environments, and exploring methods of heritagization, this study proposes a foundational conservation principle. The establishment of concepts and components of built heritage during and after epidemic periods can serve as a guide for more effective societal management. These efforts offer valuable insights for addressing major public events and enhancing urban resilience.
Challenges in Housing Accessibility Towards Universal Design
Authors: González-Alonso María Yolanda , González-Lozano Beatriz
Published: October 2024

Housing is the most regulated type of building. Standards significantly influence the design and construction quality, often making universal design more expensive and challenging to implement. This study aims to review current Spanish regulations on accessibility in the housing sector, to promote non-discriminatory and independent access, while ensuring the safety of each resident. The research is exploratory and qualitative, involving a systematic bibliographic review through an exhaustive search of regulations in force until December 2023. In Spain, there are three laws (from 1999, 1960 and 2022), three decrees (from 2006, 2013 and 2015) and a national plan from the regulatory framework. The main regulation, the Technical Building Code, outlines the accessibility, safety and habitability requirements that buildings must adhere to. The most recent is Law 6/2022 on Cognitive Accessibility. Spain has robust legislation with innovative approaches and ambitious goals. However, there is a lack of societal awareness that housing is a fundamental right and that the regulations must be upheld. Several proposals for improvement have been made. These suggested changes address the specific challenges of each region and promote more inclusive and adaptable projects for all people from the early stages of design.
Expression of Epithelial Alarmin Receptor on Innate Lymphoid Cells Type 2 in Eosinophilic Chronic Obstructive Pulmonary Disease
Authors: Królak-Nowak Katarzyna , Wierzbińska Marta , Żal Aleksandra , Antczak Adam , Tworek Damian
Published: October 2024

Studies have shown that eosinophilic COPD (eCOPD) is a distinct phenotype of the disease. It is well established that innate lymphoid cells are involved in the development of eosinophilic inflammation. Interleukin(IL)-25, thymic stromal lymphopoietin (TSLP) and IL-33 are a group of cytokines produced by epithelium in response to danger signals, e.g., cigarette smoke, and potent activators of ILC2s. In the present study, we examined circulating and sputum ILC2 numbers and expression of intracellular IL-5 as well as receptors for TSLP, IL-33 and IL-25 by ILC2s in non-atopic COPD patients with and without (neCOPD) airway eosinophilic inflammation and healthy smokers. In addition, we examined the association between ILC2s and clinical indicators of COPD burden (i.e., symptom intensity and risk of exacerbations). ILC2s were enumerated in peripheral blood and induced sputum by means of flow cytometry. We noted significantly greater numbers of airway IL-5+ILC2s and TSLPR+ILC2s in eCOPD compared with neCOPD (p < 0.05 and p < 0.01, respectively) and HSs (p < 0.001 for both). In addition, we showed that IL-5+ILC2s, IL-17RB+ILC2s and ST2+ILC2s are significantly increased in the sputum of eCOPD patients compared with HSs. In all COPD patients, sputum ILC2s positively correlated with sputum eosinophil percentage (r = 0.48, p = 0.002). We did not find any significant correlations between sputum ILC2s and dyspnea intensity as measured by the modified Medical Research Council scale (mMRC) and symptom intensity measured by the COPD Assessment Test (CAT). These results suggest the involvement of epithelial alarmin-activated ILC2s in the pathobiology of eosinophilic COPD.
Deep Learning-Based Flap Detection System Using Thermographic Images in Plastic Surgery
Authors: Danciu Răzvan , Danciu Bogdan Andrei , Vasiu Luiz-Sorin , Avino Adelaida , Filip Claudiu Ioan , Hariga Cristian-Sorin , Răducu Laura , Jecan Radu-Cristian
Published: October 2024

In reconstructive surgery, flaps are the cornerstone for repairing tissue defects, but postoperative monitoring of their viability remains a challenge. Among the imagistic techniques for monitoring flaps, the thermal camera has demonstrated its value as an efficient indirect method that is easy to use and easy to integrate into clinical practice. This provides a narrow color spectrum image that is amenable to the development of an artificial neural network in the context of current technological progress. In the present study, we introduce a novel attention-enhanced recurrent residual U-Net (AER2U-Net) model that is able to accurately segment flaps on thermographic images. This model was trained on a uniquely generated database of thermographic images obtained by monitoring 40 patients who required flap surgery. We compared the proposed AER2U-Net with several state-of-the-art neural networks used for multi-modal segmentation of medical images, all of which are based on the U-Net architecture (U-Net, R2U-Net, AttU-Net). Experimental results demonstrate that our model (AER2U-Net) achieves significantly better performance on our unique dataset compared to these existing U-Net variants, showing an accuracy of 0.87. This deep learning-based algorithm offers a non-invasive and precise method to monitor flap vitality and detect postoperative complications early, with further refinement needed to enhance its clinical applicability and effectiveness.
Spatial–Temporal Variation and the Influencing Factors of NO2 Column Concentration in the Plateau Mountains of Southwest China
Authors: Dong Fei , Zhou Zhongfa , Huang Denghong , Du Xiandan , Du Shuanglong
Published: October 2024

Given the complex terrain and economic development status of Guizhou Province, research on tropospheric NO2 column concentration using satellite remote sensing is still insufficient. Observing the spatial–temporal evolution characteristics of tropospheric NO2 column concentration can ensure the stable development of air quality. Based on the Google Earth Engine (GEE) platform, NO2 column concentration data retrieved from Sentinel-5P TROPOMI were analyzed using spatial autocorrelation, hotspot analysis, and geographic detector methods (Geodetector). The results show that NO2 column concentration in Guizhou Province exhibits seasonal variation, characterized by higher levels in winter and lower levels in summer, with transitional values in spring and autumn. The annual average concentration was highest in 2021 at 3.47 × 10−5 mol/m2 and lowest in 2022 at 2.85 × 10−5 mol/m2. Spatially, NO2 column concentration displays a distribution pattern of “high in the west, low in the east; high in the north, low in the south”, with significant spatial clustering. The distribution of cold and hot spots aligns with areas of high and low values. NO2 column concentration is primarily influenced by socio-economic factors, with the interaction between any two factors enhancing the explanatory power of individual factors on NO2 column concentration.
Analyzing the Spatiotemporal Dynamics of Drought in Shaanxi Province
Authors: Zhu Junjie , Zou Yuchi , Chen Defen , Zhang Weilai , Chen Yuxin , Cheng Wuxue
Published: October 2024

Drought, as a natural disaster with wide-ranging impacts and long duration, has an adverse effect on the global economy and ecosystems. In this paper, four remote sensing drought indices, namely the Crop Water Stress Index (CWSI), Vegetation Supply Water Index (VSWI), Temperature Vegetation Dryness Index (TVDI), and Normalized Difference Water Index (NDWI), are selected for drought analysis. The correlation analysis is carried out with the self-calibrated Palmer Drought Severity Index (sc-PDSI), and based on the optimal index (CWSI), the spatiotemporal characteristics of drought in Shaanxi Province from 2001 to 2021 were studied by SEN trend analysis, Mann–Kendall test, and a center of gravity migration model. The results show that (1) the CWSI performs best in drought monitoring in Shaanxi Province and is suitable for drought studies in this region. (2) Drought in Shaanxi Province shows a decreasing trend from 2001 to 2021; the main manifestation of this phenomenon is the decrease in the occurrence of severe drought, with severe drought covering less than 10% of the area in 2010 and subsequent years. The most severely affected regions in the province are the northern Loess Plateau region and Guanzhong Plain region. In terms of the overall trend, only 0.21% of the area shows an increase in drought, primarily concentrated in the Guanzhong Plain region and the outskirts of the Qinling–Bashan mountainous region. (3) Drought conditions are generally improving, with the droughts’ center of gravity moving northeastward at a rate of 3.31 km per year. The results of this paper can provide a theoretical basis and a practical reference for drought control and decision-making in Shaanxi Province.
The Comparison and Brewing Value of Saaz Hop Pedigree
Authors: Olšovská Jana , Straková Lenka , Nesvadba Vladimír , Vrzal Tomáš , Přikryl Jaroslav
Published: October 2024

The well-known hop variety, Saaz, which gives the Pilsner lager beer its characteristic hop aroma, may be threatened by climate change in the future. Therefore, new Saaz-related hop varieties, including Saaz Late, Saaz Brilliant, Saaz Comfort, and Saaz Shine, were recently bred. A comparison study was carried out to evaluate whether these varieties are acceptable for traditional lagers. For this purpose, sensorial and chemical analyses of hops and related beers, namely, an analysis of hop resins and oils, were performed. Sensory profiles of Saaz varieties are very similar (fine, hoppy aroma; floral; herbal), except for Saaz Comfort, which has a slightly higher aroma intensity, and Saaz Shine, which has the most noticeable fruity scent, with traces of citrus. The chemical profiles are also very similar, with α-humulene, β-pinene, (E)-β-farnesene, β-caryophyllene, and myrcene being the most abundant. Decoction mashing and kettle hopping technology with bottom fermentation show that the compared varieties result in very similar lager beers with hoppy, floral, herbal, fruity, and spicy aromas. Typical hop oils include farnesol, linalool, methyl geranate, β-pinene, and limonene. The high concentration of farnesol in beer correlates with the concentrations of (E)-β-farnesene and farnesol in hops. New Saaz varieties are widely used to produce Pilsner lager without affecting the traditional sensory aroma of this widespread style. Varieties have a higher yield of approximately 25% and bitter acid concentrations of approximately 15%, with Saaz Comfort comprising approximately 100%. Furthermore, the concentration of hop oils is approximately 40% higher in Saaz Shine than a traditional Saaz variety. Moreover, Saaz Shine and Saaz Comfort have very good resistance to drought, which is an important property from a climate change perspective.