bluuebunny/crossref_metadata_2025 huggingface dataset:
Association Between the Two-Year Trajectories of Dental Anxiety and the Changes in the Oral Health-Related Quality of Life in Parents of FinnBrain Birth Cohort Study
Authors: Yang Lily , Suominen Auli , Palo Katri , Kataja Eeva-Leena , Pohjola Vesa , Ogawa Mika , Karlsson Linnea , Karlsson Hasse , Laakkonen Eero , Lahti Satu
Published: December 2024

Objectives: We evaluated associations between changes in dental anxiety and oral health-related quality of life (OHRQoL) in parents of the FinnBrain Birth Cohort Study. Methods: Two-year dental anxiety trajectories measured with Modified Dental Anxiety Scale from gestational weeks (gw) 14 and 34, and 3 and 24 months after birth were used. OHRQoL was measured with the Oral Health Impact Profile 14-item questionnaire at gw34 and 4 years. Changes in the OHRQoL sum and dimension scores according to dental anxiety trajectories were analyzed with the Jonckheere–Terpstra test separately for mothers (n = 998) and fathers (n = 513). Results: Overall, OHRQoL decreased in all dental anxiety trajectory groups except the High decreasing group in mothers and in fathers. The decline in the overall OHRQoL was greatest in the Stable high trajectory group for both parents. In fathers, OHRQoL increased considerably but not statistically significantly in the High decreasing trajectory group. The changes in OHRQoL dimensions Psychological discomfort and Handicap differed according to dental anxiety trajectories for both of mothers and fathers, and also for the dimension Psychological disability for mothers. Conclusions: These findings highlight the need for targeted interventions in treating high dental anxiety and in preventing the increase in dental anxiety to improve oral health outcomes such as OHRQoL.
Usage and Preferences of Orthodontic Mini-Implants Among Romanian Practitioners: A Survey Study
Authors: Bungău Teodora Consuela , Moca Abel Emanuel , Ciavoi Gabriela , Romanul Ioana Mihaela , Vaida Luminița Ligia , Buhaș Camelia Liana
Published: December 2024

Background/Objectives: Dental malocclusions are highly prevalent worldwide, negatively impacting patients’ quality of life and leading to complex, often costly, orthodontic treatments. In Romania, the economic status of patients and the limited public funding for orthodontic care significantly influence treatment accessibility and choices. Advanced technologies, such as mini-implants (MIs), offer improved anchorage and treatment efficiency but are often underutilized due to financial constraints and variability in clinical training. In this context, there are limited data regarding the use and preferences of MI among orthodontists in Romania. This study aims to explore the characteristics, preferences, and challenges of Romanian orthodontists in their use of MI systems. Methods: A survey was conducted between June and September 2024, targeting orthodontists across Romania. The questionnaire, distributed via social media platforms, consisted of 24 items addressing professional experience, MI system preferences, insertion methods, and complications. Statistical analyses were conducted using IBM SPSS Statistics 25. Fisher’s Exact Test and Pearson’s Chi-Square Test were employed to evaluate relationships between categorical variables. When appropriate, logistic binomial univariable regression models were applied to predict key dependent variables (e.g., MI placement zones, MI experience, and MI complications) based on independent variables such as specific MI system usage and frequency of MI usage. A significance threshold of α = 0.05 was used for all tests. Results: Out of 105 participants, 85.7% reported using mini-implants (MIs) in their orthodontic practice, with the Dual Top and Benefit systems being the most frequently used (60% and 43.3%, respectively). The interradicular area was the most common placement site (60%), while the palatal and retromolar regions showed significant correlations with the Benefit system (p = 0.008). Practitioners with more than 10 years of experience reported a significantly higher frequency of MI use (p = 0.001), with frequent use being observed in 60.9% of these practitioners. Complications were common, with MI mobility reported by 92.2% and soft tissue damage by 57.8%. The midpalatal area was significantly associated with higher complication rates compared to other sites (p < 0.001). The success rates of MI usage ranged from 76% to 100% in 57.8% of respondents, with higher success rates being associated with infrazygomatic placements (p < 0.05). Conclusions: MI usage is prevalent among Romanian orthodontists, with experienced practitioners utilizing them more frequently. Despite high success rates, common complications highlight the need for improved insertion techniques and post-operative care. Further research and training are recommended to optimize MI application and reduce complication rates.
Slicing Through the Noise: Efficient Crash Deduplication via Trace Reconstruction and Fuzzy Hashing
Authors: Pang Ling , Qian Cheng , Kuang Xiaohui , Qin Jiuren , Zang Yujie , Zhang Jiapeng
Published: December 2024

In contemporary software security testing, fuzzing is a pervasive methodology employed to identify vulnerabilities. However, one of the most significant challenges is the vast number of crash reports, many of which are repetitive, resulting in an increased analysis burden for security researchers. To address this issue, we propose a novel method for reducing crash redundancy and grouping similar crashes based on their execution traces. By leveraging the Intel Processor Trace (PT), we can reconstruct the instruction flow of the last executed function in each crash and extract its relevant instruction slice through data dependency backward slicing. The registers are abstracted, and the immediate values are generalized to normalize the instruction sequence. Subsequently, fuzzy hashing is applied to the generalized instruction sequences, and a similarity-based greedy strategy is employed for grouping. The method effectively reduces the workload by clustering crashes with similar root causes, leaving analysts with only representative samples to investigate. Furthermore, compared with conventional stack hashing techniques, our methodology demonstrates an average improvement in accuracy of 15.38% across four programs, with a total of 281 crashes.
Cascaded Residual-Based Progressive-Refinement Generative Adversarial Network for Multi-Modal Cross-View Image Translation
Authors: Zou Jinmiao , Zhang Weixi , Ou Qianying
Published: December 2024

Cross-view image-to-image translation refers to generating what the scenery looks like from different views at the same location, which involves simultaneous semantic and appearance translation. Previous works mainly focused on semantic translation that used a semantic map as additional information to guide the network to learn a good semantic mapping across different views. However, the appearance translation between two different views remains ambiguous due to the huge differences in distance and view angle, not to mention multi-modal translation. In this paper, we propose a novel end-to-end network called Cascaded Residual-based Progressive-refinement GAN (CRP-GAN). Specifically, an aerial image and a semantic map are used to generate multi-modal refined panoramas progressively. There are three novelties in the CRP-GAN. Firstly, it is able to generate ground-level panoramas of a wide field of view rather than images with a limited field of view, by fully exploiting the spatial information of the aerial image. Secondly, the proposed model is capable of generating multi-modal cross-view images, which is different from previous one-to-one image translation. Thirdly, a novel cascaded image refinement strategy is proposed to synthesize images with more details and less blurs at each stage of refinement. We conducted extensive experiments on CVUSA and Dayton datasets for cross-view image-to-image translation.
Correction: Wang et al. Antibacterial Efficacy of Feline-Derived Lactic Acid Bacteria against Enteropathogenic Escherichia coli: A Comprehensive In Vitro Analysis. Fermentation 2024, 10, 514
Authors: Wang Weiwei , Dong Hao , Chen Qianqian , Chang Xiaohan , Wang Longjiao , Miao Chengyi , Chen Shuxing , Chen Lishui , Wang Ran , Ge Shaoyang , Xiong Wei
Published: December 2024

Some paragraphs were missing from the original publication [...]
Analysis of Genetic Determinants Encoding Resistance to Heavy Metals and Disinfectants in Listeria monocytogenes
Authors: Maćkiw Elżbieta , Kowalska Joanna , Korsak Dorota , Postupolski Jacek
Published: December 2024

Listeria monocytogenes is an important foodborne pathogen causing listeriosis. L. monocytogenes, existing in the natural environment, can also contaminate food products, which poses a serious threat to human health and life, especially for high-risk groups: pregnant women, newborn babies, and the elderly. Environmental adaptation of L. monocytogenes refers to the various strategies and mechanisms used by this bacterium to survive and thrive in diverse and often hostile environments that include, among others, toxic heavy metals and disinfectants. The aim of this study was to analyze WGS (whole-genome sequencing) data of 45 L. monocytogenes strains isolated from food to compare the prevalence and types of genetic determinants encoding resistance to toxic metals, such as arsenic and cadmium, as well as quaternary ammonium compounds, like benzalkonium chloride. In L. monocytogenes strains, resistance genes were detected for disinfectants, such as benzalkonium chloride (4.4%), as well as for toxic heavy metals, like cadmium (28.9%) and arsenic (24.4%). The bcrABC cassette was found together with the cadA2C2 genes in two strains: 3855-D (IIc, ST9, CC9) and 4315 (IVb, ST6, CC6). The arsenic cassette, encoded by the genes arsR1D2R2A2B1B2, was co-selected with the cadA4C4 genes. The arsenic cassette was prevalent in nine strains of clonal complex CC2 (82%), one strain of CC3 (9%), and one strain of CC11 (9%). In contrast, the benzalkonium chloride cassette was detected in one strain of CC6 and one strain of CC9. The results of the present study demonstrate the need for further research into the characteristics of L. monocytogenes isolated from other sources in order to understand their spread throughout the food chain.
Effects of Ultrasound-Assisted Treatment on Physicochemical Properties and Biological Activities of Polysaccharides from Sargassum
Authors: Zhou Chunxia , He Shanshan , Gao Shang , Huang Zirui , Wang Wenduo , Hong Pengzhi , Jia Rui-Bo
Published: December 2024

The aim of this study was to investigate the effect of ultrasonic treatment on the physicochemical properties and bioactivities of polysaccharides from Sargassum samples (SPs) extracted with different solvents. The alkali-assisted extraction of polysaccharide (SPA), acid-assisted extraction of polysaccharides from (SPB), and hot water extraction of polysaccharides (SPCs) were perofrmed on Sargassum. Ultrasonic treatment was performed with the SPA, SPB, and SPC in turn, and named USPA, USPB, and UPSC, respectively. The results showed that SPs mainly consisted of mannose, glucose, xylose, rhamnose, galactose, fucose, glucuronic acid, mannuronic acid and guluronic acid. The molecular weight of SPA (434.590 kDa) was the lowest under different solvent extractions, and the molecular weights of SPA, SPB, and SPC were reduced after sonication. SPA had a high carbohydrate content of (52.59 ± 5.16)%, and SPC possessed a high sulfate content of (3.90 ± 0.33)%. After ultrasonic treatment, the biological activities of SPs were significantly increased. The α-glucosidase inhibition assay reflected that the IC50 values of the ultrasonic treatment SPs were significantly reduced, and USPA showed the best activity, with an IC50 of (0.058 ± 0.05) mg/mL. Antioxidant assays demonstrated that USPC exhibited greater DPPH- and ABTS-scavenging capacity. In the anti-glycosylation assay, SPs after sonication demonstrated excellent inhibition of glycosylation products and protein oxidation products, with USPA showing the highest inhibition rate. In conclusion, the biological activities of SPs were enhanced after ultrasonic treatment. This study provides a theoretical reference for their use in food and medicines.
Phenolic Characterization and Quality Evaluation of Herbal Coffee from Roasted Juniper Berry Fruits (Juniperus drupacea L.): Elucidating the Impact of Roasting
Authors: Kelebek Hasim , Carikcioglu Merve , Kadiroglu Pınar , Ereli Esra , Uzlasir Turkan , Selli Serkan
Published: December 2024

Consumers’ demand for foods with health benefits and different tastes is on an increasing trend. Juniper berries (“andiz” in Turkish) are the fruits of perennial, aromatic, and resinous Juniperus drupacea trees. In this study, quality properties of herbal coffee samples obtained from juniper berries roasted at three different temperatures (120, 160, and 200 °C) and four different durations (10, 25, 32.5, and 55 min) were elucidated. The herbal coffee samples were prepared from roasted and powdered fruits, and their total phenolic contents (TPCs), sugar profiles, antioxidant activities (AAs), and other quality parameters were examined. The highest AA value was determined as 17.99 and 29.36 mM Trolox/L (DPPH and ABTS, respectively) in the herbal coffee prepared from berries roasted at 120 °C for 25 min. Sucrose and glucose were dominant in all herbal coffee samples. Sixteen phenolic compounds were identified and quantified by a LC-ESI-MS/MS device. The TPC values of the herbal coffee varied from 236.7 to 917.0 g/L, and the procyanidin dimer, amentoflavone, methyl-biflavone, and digalloylquinic acid were dominant in all samples. The hydroxymethylfurfural (HMF) content of the herbal coffee varied between 0.01 and 0.39 mg/kg. According to a sensory analysis, the herbal coffee obtained from fruits roasted at 120 °C for 25 min was the most appreciated sample. In sum, this work shows that herbal coffee is non-caffeinated and is an alternative to regular coffee drinks derived from juniper berries roasted at lower temperatures and has more significant phenolic and antioxidant contents. It also has the potential to offer innovative and healthy alternatives to the food industry. Future research should focus on investigating how this herbal coffee can be positioned in the market and can influence consumer preference.
Effects of Different Production Methods on the Quality and Microbial Diversity of Sauerkraut in Northeast China
Authors: Liu Weichao , Wang Yunchao , Zhao Tong , Zheng Yunfang , Mu Guangqing , Qian Fang
Published: December 2024

Sauerkraut is a popular fermented food in Northeast China. However, owing to the different production methods used, the quality of commercial sauerkraut is often quite different, which is reflected mainly in the differences between starter culture (Group-L), additive addition (Group-P) and natural fermentation (Group-H) methods. The purpose of this study was to explore the differences among the three fermentation methods by measuring physical and chemical indices, microbial diversity indices, flavour indices and volatile substances. The results revealed that there was no significant difference in the physical or chemical indices among the groups. The content of esters and alcohols in Group-L was the highest, and the taste richness, aftertaste-a and aftertaste-b were the highest, which had a positive effect on flavour. The highest level of microbial diversity was found in Group-H, which contained many pathogenic bacteria, such as Janibacter, Pseudomonas, and Vagococcus, which reduced the food safety of sauerkraut. At the genus level, the dominant bacterial genera in the starter and additive groups included Lactobacillus and Pediococcus. The correlation analysis revealed that Group-L was positively correlated with the contents of Lactobacillus plantarum, Lactobacillus brevis, Pediococcus, ethyl oleate and vanillin. In summary, this study evaluated the different production methods of northeast sauerkraut, providing theoretical support for the production of high-quality northeast sauerkraut.
Polymerizable Ionic Liquid-Based Gel Polymer Electrolytes Enabled by High-Energy Electron Beam for High-Performance Lithium-Ion Batteries
Authors: Chae Wookil , Earmme Taeshik
Published: December 2024

Polymerizable ionic liquid-based gel polymer electrolytes (PIL-GPEs) were developed for the first time using high-energy electron beam irradiation for high-performance lithium-ion batteries (LIBs). By incorporating an imidazolium-based ionic liquid (PIL) into the polymer network, PIL-GPEs achieved high ionic conductivity (1.90 mS cm−1 at 25 °C), a lithium transference number of 0.62, and an electrochemical stability exceeding 5 V. E-beam irradiation enabled rapid polymer network formation within a metal-cased battery structure, eliminating the need for initiators and improving the process efficiency. In the NCM811/PIL-GPE/Li cells, PIL-GPE (8:2) delivered an initial discharge capacity of 198.8 mAh g−1 with 82% retention at 100 cycles, demonstrating enhanced thermal stability and cycling performance compared to traditional GPEs. The demonstrated PIL-GPEs demonstrate strong potential for high-stability, high-performance LIB applications.
Mechanism Analysis of Bubble Discharge Within Silicone Gels Under Pulsed Electric Field
Authors: He Dongxin , Zhang Zhe , Wang Guangzhu , Liu Keming , Wang Haochen , Xu Zhe , Teyssedre Gilbert , Zhang Yuantao
Published: December 2024

Silicone gel, used in the packaging of high-voltage, high-power semiconductor devices, generates bubbles during the packaging process, which accelerates the degradation of its insulation properties. This paper establishes a testing platform for electrical treeing in silicone gel under pulsed electric fields, investigating the effect of pulse voltage amplitude on bubble development and studying the initiation and growth of electrical treeing in a silicone gel with different pulse edge times. The relationship between bubbles and electrical treeing in silicone gel materials is discussed. A two-dimensional plasma simulation model for bubble discharge in silicone gel under pulsed electric fields is developed, analyzing the internal electric field distortion caused by the response times of different ions and electrons. Additionally, the discharge current and its effects on silicone gel under pulsed electric fields are examined. By studying the influence of different pulse edge times, repetition frequencies, and temperatures on discharge current magnitude and ozone generation rates, the impact of electrical breakdown and chemical corrosion on the degradation of organic silicone gel under various operating conditions is analyzed. This study explores the macroscopic and microscopic mechanisms of dielectric performance degradation in organic silicone gel under pulsed electric fields, providing a basis for research on high-performance packaging materials and the development of high-voltage, high-power semiconductor devices.
Mosaics of a Broken World: Hermann Grab’s Social Science, Literature and Music
Authors: Spitz Malte
Published: December 2024

This study focuses on the broken world that the Prague German writer and musician Hermann Grab (1903–1949) first encountered in 1924 with his study of sociology at Heidelberg. While Grab initially sought to comprehend the new world and make an impact from a sociological perspective, he later embraced literature and music as a means of expressing a way forward. This text highlights Grab’s exploration of the dynamics of change in the modern world and their implications for a reformed approach to musical education. His work as a writer and music teacher is emblematic of Prague, where many authors uniquely integrated art and science. Alongside new forms of literary writing, he reflected on a renewal of music education as a reaction to the dissolution of values noted by others at the time, most famously by Hermann Broch. Building on this premise, Grab’s doctoral thesis, his novel, and one of his short stories, as well as his views on music education, are brought to bear in order to show how Grab turns the pieces of a fractured world into mosaic tiles whose combination in different art forms points to something beyond this dissolution of values.
Human–Computer Interaction in Healthcare: A Bibliometric Analysis with CiteSpace
Authors: Zhao Xiangying , Zhang Shunan , Nan Dongyan , Han Jiali , Kim Jang Hyun
Published: December 2024

Background/Objectives: Studies on the application and exploration of human–computer interaction (HCI) technologies within the healthcare sector have rapidly expanded, showcasing the immense potential of HCI to enhance medical services, elevate patient experiences, and advance health management. Despite this proliferating interest, there is a notable shortage of comprehensive bibliometric analyses dedicated to the application of HCI in healthcare, which limits a thorough comprehension of the growth trends and future trajectories in this area. Methods: To bridge this gap, we employed bibliometric methods using the CiteSpace tool to systematically review and analyze the current state and trends of HCI research in healthcare. A meticulous topic search of Web of Science yielded 3598 papers published between 2004 and 2023. Results: Through literature analysis, the most productive researchers, institutes, and countries/territories and the collaboration networks among authors and countries within the field were analyzed. Additionally, by conducting a co-citation analysis, journals and literature with high citation rates and influence within the academic community in this field were revealed. Through a cluster analysis based on literature co-citations and keyword burst analyses, we further explored the main research themes and hot topics within the fields of healthcare and HCI. Conclusions: In summary, through a comprehensive and systematic bibliometric analysis, this study provides a solid knowledge foundation for HCI in the healthcare research community, thereby fostering the development of innovative research and the optimization of practical applications in the field.
Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach
Authors: Ferko Marija , Pirdavani Ali , Babić Dario , Babić Darko
Published: December 2024

Speeding is one of the main contributing factors to road crashes and their severity; therefore, this study aims to investigate the complex dynamics of speeding and uses a multivariable analysis framework to explore the diverse factors contributing to exceeding vehicle speeds on rural roads. The analysis encompasses diverse measured variables from Croatia’s secondary road network, including time of day and supplementary data such as average summer daily traffic, roadside characteristics, and settlement location. Measuring locations had varying speed limits ranging from 50 km/h to 90 km/h, with traffic volumes from very low to very high. In this study, modeling of influencing factors on speeding was carried out using conventional and more advanced methods with speeding as a binary dependent variable. Although all models showed accuracy above 74%, their sensitivity (predicting positive cases) was greater than specificity (predicting negative cases). The most significant factors across the models included the speed limit, distance to the nearest intersection, roadway width, and traffic load. The findings highlight the relationship between the variables and speeding cases, providing valuable insights for policymakers and law enforcement in developing measures to improve road safety by determining locations where speeding is expected and planning further measures to reduce the frequency of speeding vehicles.
Clinical Outcomes of Shifting from Transfemoral-First to Transradial-First Approach in Carotid Artery Stenting: A Retrospective Two-Timeframe Comparison at a Single Center
Authors: Imahori Taichiro , Miyake Shigeru , Maeda Ichiro , Goto Hiroki , Nishii Rikuo , Enami Haruka , Yamamoto Daisuke , Harada Tomoaki , Tanaka Jun , Sakata Junichi , Hamaguchi Hirotoshi , Sakai Nobuyuki , Sasayama Takashi , Hosoda Kohkichi
Published: December 2024

Objective: Carotid artery stenting (CAS) has traditionally been performed using the transfemoral approach (TFA). Recently, the transradial approach (TRA) has gained attention for its lower invasiveness and reduced complication risk. This study compares outcomes between two access strategy timeframes, TFA-first and TRA-first, to evaluate how this shift influences outcomes in a real-world setting. Methods: A retrospective analysis of 85 CAS procedures was conducted at our institution from October 2018 to September 2024, categorizing them into TFA-first (n = 42) and TRA-first (n = 43) periods. The primary endpoint was access-related complications and 30-day perioperative events, including stroke, myocardial infarction, and mortality. The secondary endpoints included target lesion access success rate, frequency of access route conversions, procedural time, and hospital length of stay. Results: Baseline characteristics, including age, sex, symptomatic status, stenosis severity, plaque characteristics, and anatomical considerations, were comparable between groups. In the TFA-first period, 88% of procedures utilized TFA, and TRA was not used at all, while the remaining 12% employed the transbrachial approach (TBA). In the TRA-first period, 23% of procedures employed TFA, 60% utilized TRA, and 16% relied on TBA (p < 0.01). Both groups achieved a similar rate of target lesion access success (98% each) with only one conversion per group. The primary endpoint was significantly lower in the TRA-first group (0%) compared to the TFA-first group (10%, p = 0.04), primarily due to reduced access-site complications. Additionally, the median hospital stay was shorter in the TRA-first group at 6 days compared to 10 days (p = 0.02). Conclusions: Adopting a TRA-first strategy over TFA in CAS leads to better outcomes by improving access-site safety and reducing hospital stays. Developing TRA-specific devices could further expand the applicability of TRA in CAS.
Evaluating the Effects of Laser Treatments on Visible Changes in the Photoaging Process of the Skin Using Specialized Measuring Devices
Authors: Podgórska Aleksandra , Kicman Aleksandra , Wacewicz-Muczyńska Marta , Konończuk Tomasz , Niczyporuk Marek
Published: December 2024

Background/Objectives: The skin is the largest organ of the human body and is exposed to the aging process (not only chronological aging, but also photoaging). One of the methods used to correct visible skin changes due to photoaging is lasers. The aim of this study was to objectively evaluate the effect of Q-switched laser treatments on visible changes in the photoaging process among women using specialized measuring devices—ultrasound and Courage & Khazaka. Methods: The study included 36 women with visible signs of photoaged skin. The women were given a series of three treatments with a Fotona QX MAX fractional head laser. Both before and after the treatment, the women were examined for selected skin parameters with the help of specialized measuring devices such as Courage & Khazaka and skin ultrasound. Skin firmness and elasticity, the degree of hydration, TEWL and HL TOTAL levels, and MEP and HEP skin echogenicity were taken into account. The obtained results were tabulated and statistically analyzed. Results: Statistically significant differences were noted for parameters representing skin elasticity R2 [p = 0.0210] and R7 [p = 0.0302], TEWL [p = 0.0152] and HL TOTAL [p = 0.0367] on the forehead, and HL TOTAL [p = 0.0450] on the cheek. In addition, statistically significant differences were observed in the MEP/TP parameter on the forehead and cheek [p = 0.0236, 0.0475, respectively] and HEP/TP in the forehead area [p = 0.0367]. Conclusions: Q-switched laser treatments have a positive effect on the condition of women’s skin. Therapy with this laser reduces the visible changes in the photoaging process in the face.
Recent Advances in the Management of Acute Severe Ulcerative Colitis
Authors: Ong Ming San Elaine , Sharif Kassem , Rosiou Konstantina , Rennie Michael , Selinger Christian Philipp
Published: December 2024

Acute severe ulcerative colitis is a medical emergency requiring inpatient treatment with intravenous steroids. Approximately one-third of patients do not respond to steroids sufficiently and require medical rescue therapy. Infliximab and cyclosporine are equally effective rescue agents, though infliximab is often preferred by clinicians for ease of use and greater familiarity. The use of cyclosporine is becoming more frequent, however, in patients previously exposed to infliximab. Those patients not exhibiting an adequate response to rescue therapy require colectomy. There is increasing interest in modified medical treatment to rescue the need for surgery. Janus kinase inhibitors may provide benefits when used alongside steroids from admission or as a rescue agent, but further randomised trials are needed to clearly establish their role. Intensified dosing of infliximab when used as a rescue therapy has shown mixed results but seems sensible in patients with low albumin and high disease burden. In this review, we describe the current established treatment pathways and report newer developments and evolving concepts that may in the future improve the care of patients with acute severe ulcerative colitis.
Application of a Multi-Component Composite Edible Coating for the Preservation of Strawberry Fruit
Authors: González-Cuello Rafael , Parada-Castro Aura Lucia , Ortega-Toro Rodrigo
Published: December 2024

The rapid perishability of strawberries due to factors such as fungal decay, mechanical damage, and respiration significantly limits their shelf life. In this study, a novel multi-component edible coating composed of bacterial cellulose, chitosan, and gellan gum (BChG) was developed to enhance the postharvest quality and extend the shelf life of strawberries. The coated fruits were evaluated over a 15-day storage period for key parameters such as weight loss, total soluble solids (TSS), titratable acidity (TA), enzymatic activity, color retention, antioxidant activity, and microbiological analysis. The results demonstrated that coated strawberries exhibited significantly lower weight loss, reduced cellulase activity, and higher retention of TSS and TA compared to uncoated controls. The evaluation of microbial quality indicated that coatings, particularly those with higher concentrations of chitosan, control the growth of total mesophilic aerobic bacteria (TMAB) and molds and yeasts (MY), due to the antimicrobial properties of chitosan. This contributed to extending the shelf life of the fruit by preventing spoilage and reducing the risk of toxic compound formation. Additionally, the BChG coatings also preserved the characteristic red color of the fruit and maintained higher antioxidant activity, with BChG-4 being the most effective formulation. The inclusion of chitosan in the coatings was found to play a crucial role in reducing respiration, delaying ripening, and enhancing the fruit’s resistance to oxidative damage. Overall, multi-component coatings, particularly those with higher chitosan concentrations, offer a promising method for extending the shelf life of strawberries, reducing postharvest losses, and preserving fruit quality under ambient storage conditions.
GenAI Creativity in Narrative Tasks: Exploring New Forms of Creativity
Authors: Vinchon Florent , Gironnay Valentin , Lubart Todd
Published: December 2024

This study examined generative artificial intelligences (GenAIs), as popularized by ChatGPT, in standardized creativity tests. Benchmarking GenAI against human performance, the results showed that ChatGPT demonstrated remarkable fluency in content generation, though the creative output was average. The random nature of AI creativity and the dependency on the richness of the training database require a reassessment of traditional creativity metrics, especially for AI. Our findings highlight the integral role humans play in guiding AI to foster genuine originality, suggesting the need for future research in human–AI co-creation and the development of robust AI creativity measurement mechanisms.
Performance Assessment of Individual and Ensemble Learning Models for Gully Erosion Susceptibility Mapping in a Mountainous and Semi-Arid Region
Authors: El Bouzekraoui Meryem , Elaloui Abdenbi , Krimissa Samira , Abdelrahman Kamal , Kahal Ali Y. , Hajji Sonia , Ismaili Maryem , Kanti Mondal Biraj , Namous Mustapha
Published: December 2024

High-accuracy gully erosion susceptibility maps play a crucial role in erosion vulnerability assessment and risk management. The principal purpose of the present research is to evaluate the predictive power of individual machine learning models such as random forest (RF), decision tree (DT), and support vector machine (SVM), and ensemble machine learning approaches such as stacking, voting, bagging, and boosting with k-fold cross validation resampling techniques for modeling gully erosion susceptibility in the Oued El Abid watershed in the Moroccan High Atlas. A dataset comprising 200 gully points, identified through field observations and high-resolution Google Earth imagery, was used, alongside 21 gully erosion conditioning factors selected based on their importance, information gain, and multi-collinearity analysis. The exploratory results indicate that all derived gully erosion susceptibility maps had a good accuracy for both individual and ensemble models. Based on the receiver operating characteristic (ROC), the RF and the SVM models had better predictive performances, with AUC = 0.82, than the DT model. However, ensemble models significantly outperformed individual models. Among the ensembles, the RF-DT-SVM stacking model achieved the highest predictive accuracy, with an AUC value of 0.86, highlighting its robustness and superior predictive capability. The prioritization results also confirmed the RF-DT-SVM ensemble model as the best. These findings highlight the superiority of ensemble learning models over individual ones and underscore their potential for application in similar geo-environmental contexts.
A Study of Historic Urban Landscape Change Management Based on Layered Interpretation: A Case Study of Dongxi Ancient Town
Authors: Ma Xiaotian , Sun Junqiao
Published: December 2024

In the face of external shocks from urbanization and the inherent needs of economic development, it is essential for urban and rural heritage to adapt timely to achieve sustainability in development. Employing Historic Urban Landscape (HUL) methodologies for change management holds significant implications for the sustainable preservation and utilization of heritage. This study used Dongxi Ancient Town as a case study, characterized by a distinct evolutionary trajectory and diverse layers of accumulation throughout its historical progression, making it an exemplary instance for change analysis. This paper analyzed the processes and outcomes of historic urban landscape changes through a layered historical approach. Combining historical data translation methods with ArcGIS spatial analysis, we documented and mapped the cultural and natural characteristics of Dongxi Ancient Town. The layered process of the town’s historical landscape was categorized into four stages: the primary formative period from the Western Han to the Ming dynasties, the rapid development during the Qing dynasty, the prosperous period of the Republic of China, and the transitional expansion period following the establishment of the People’s Republic of China. The study analyzed the morphological changes and values of the historical landscape throughout these periods. Based on the analysis results, we suggest three transformation management strategies for historical landscapes oriented towards economic development: (1) converting cultural heritage into cultural assets, (2) implementing moderate and controlled quantitative changes, and (3) enhancing operational feasibility through collaborative efforts among multiple stakeholders. These strategies aim to establish a sustainable model that balances heritage conservation with economic growth.
Morphology of the Human Pineal Gland Studied by Freeze-Fracturing in Scanning Electron Microscopy
Authors: Polakovičová Simona , Líška Ján , Varga Ivan , Gálfiová Paulína
Published: December 2024

The human pineal gland is the largest producer of the hormone melatonin. Pineal acervuli (brain sand), calcified concretions in the pineal gland, have long been studied because of their association with ageing, melatonin production, and neurological disorders. The solid inorganic matter of the hydroxyapatite crystals often renders sample sectioning impossible, to the extent that the sections lose value. Technically, freeze-fracturing has revealed the detailed structure and cell relationships without tissue damage. In our electron microscopic study, samples of the human pineal gland were obtained during autopsy from 20 donors with mean age 69 years. Samples underwent freeze-fracturing and standard histological procedures, and were analysed by scanning electron microscopy (SEM) in high vacuum. Based on our results, freeze-fracturing enabled identification of a mulberry-like acervulus topography. The acervuli were situated in specific “nest-like” structures, which were surrounded by pinealocytes, interstitial cells, and nerve fibres. A fractured surface of the intrapineal acervuli exhibited a regular lamellar structure. Freeze-fracturing the pineal gland and imaging by SEM enabled complex structural analysis. This approach permits viewing the surface acervuli spherical and internal lamellar architecture. Our results confirmed that the parenchyma of this small but important gland contains two types of acervuli, depending on their size: non-aggregated and aggregated. We propose to include these forms of acervuli in the new edition of the Terminologica Histologica. In conclusion, pineal gland freeze-fracturing by SEM is suitable for complex structural analysis. Our description of our methods can be a guide for other scientists who want to study the pineal gland with electron microscopy methods.
The Temperature Dependence of Divergence Pressure
Authors: Bair Scott
Published: December 2024

The so-called controversy in elastohydrodynamic lubrication (EHL) regarding the nature of the shear dependence of viscosity, Eyring versus Carreau, is truly a controversy regarding the pressure and temperature dependence of low-shear viscosity. Roelands removed data that contradicted his claims of accuracy for his correlation. The Roelands hoax became acceptable in EHL because ignoring the universal previtreous piezoviscous response made the traction calculated with the Eyring assumption appear to be reasonable. Traction and minimum film thickness calculations sometimes require the description of viscosity at pressures up to the glass transition pressure. There have been few measurements of viscosity at pressures up to glass pressure. Therefore, a need exists for a piezoviscous model that extrapolates accurately, and the Hybrid model fills that need. Here, an improved relation for the temperature dependence of divergence pressure is offered and extrapolation is demonstrated for a polyalphaolefin and propylene carbonate. A linear dependence of divergence pressure with temperature is more useful than previous versions. An improvement in the capability of high-pressure viscometry is suggested based upon the fractional Stokes Einstein Debye relation and the relatively simple measurements of DC conductivity.
Advanced Fault Detection and Severity Analysis of Broken Rotor Bars in Induction Motors: Comparative Classification and Feature Study Using Dimensionality Reduction Techniques
Authors: Kumar Rahul R. , Waisale Litili O. , Tamata Jiuta L. , Tortella Andrea , H. Kia Shahin , Andriollo Mauro
Published: December 2024

This paper presents an experimental investigation into the detection and classification of broken rotor bar (BRB) faults in a 1.1 kW squirrel cage induction motor (IM) across various load conditions and fault severities: 1.5 BRBs, 2 BRBs, 2.5 BRBs, and 3 BRBs. Motor current signature analysis (MCSA), fast Fourier transform (FFT), and the extended Park’s vector approach (EPVA) were used to explore the frequency spectra and identify characteristic fault frequencies (CFFs) associated with BRB faults. Following these exploration, the extended Park’s vector (EPV) current was used to calculate 15 statistical time-domain features, which underwent exploratory data analysis using principal component analysis (PCA), curvilinear component analysis (CCA), and independent component analysis (ICA), deducing the intrinsic dimensionality to 3. Thereafter, classification was carried out using both neural and non-neural approaches to assess healthy signature as well as BRB fault severities. The PCA-SDNN model achieved the highest accuracy, showcasing its suitability for accurate, real-time fault detection in industrial IMs. This study demonstrates the effectiveness of integrating MCSA, EPVA, dimensionality reduction, and machine learning for robust IM fault diagnosis.
Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network
Authors: Yan Hehua , Tan Jinbiao , Luo Yixiong , Wang Shiyong , Wan Jiafu
Published: December 2024

The aim of this study is to improve the cross-condition domain adaptability of bearing fault diagnosis models and their diagnostic performance under previously unknown conditions. Thus, this paper proposes a multi-condition adaptive bearing fault diagnosis method based on multi-granularity data annotation. A tree-structured labeling scheme is introduced to allow for multi-granularity fault annotation. A hierarchical multi-granularity diagnostic network is designed to automatically learn multi-level fault information from condition data using feature extractors of varying granularity, allowing for the extraction of shared fault information across conditions. Additionally, a multi-granularity fault loss function is developed to help the deep network learn tree-structured labels, improving intra-class compactness and reducing hierarchical similarity between classes. Two experimental cases demonstrate that the proposed method exhibits robust cross-condition domain adaptability and performs better in unseen conditions than state-of-the-art methods.
Controlled Zn(II) to Co(II) Transmetalation in a Metal–Organic Framework Inducing Single-Ion Magnet Behavior
Authors: Escamilla Paula , Moliner Nicolás , Armentano Donatella , Pardo Emilio , Ferrando-Soria Jesús , Grancha Thais
Published: December 2024

The intrinsic characteristic features of metal–organic frameworks offer unique, great opportunities to develop novel materials with applications in very diverse fields. Aiming to take advantage of these, the application of post-synthetic methodologies has revealed itself to be a powerful approach to the isolation and structuration of metal ions, molecules, or more complex species, either within MOF channels or reticulated at their network, rendering novel and exciting MOFs with new or improved functionalities. Herein, we report the partial post-synthetic metal exchange of Zn(II) metal ions by Co(II) ones in water-stable three-dimensional CaZn6-MOF 1, derived from the amino acid S-methyl-L-cysteine, allowing us to obtain two novel MOFs with increasing contents of the Co(II) ions Co4%@1 and Co8%@1. Remarkably, the presented post-synthetic metal exchange methodology has two relevant implications for us: (i) it allowed us to obtain two novel MOFs, which were not accessible by direct synthesis, and (ii) enabled us to transform physical properties within this family of isoreticular MOFs from the diamagnetic pristine MOF 1 to MOFs Co4%@1 and Co8%@1, exhibiting field-induced, frequency-dependent, alternating current magnetic susceptibility signals, which are characteristic features of single-molecule magnets.
Optimizing Multi-Echelon Delivery Routes for Perishable Goods with Time Constraints
Authors: Sun Manqiong , Xu Yang , Xiao Feng , Ji Hao , Su Bing , Bu Fei
Published: December 2024

As the logistics industry modernizes, living standards improve, and consumption patterns shift, the demand for fresh food continues to grow, making cold chain logistics for perishable goods a critical component in ensuring food quality and safety. However, the presence of both soft and hard time windows among demand nodes can complicate the single-network distribution of perishable goods. In response to these challenges, this paper proposes an optimization model for multi-distribution center perishable goods delivery, considering both one-echelon and two-echelon network joint distributions. The model aims to minimize total costs, including transportation, fixed, refrigeration, goods damage, and penalty costs, while measuring customer satisfaction by the start time of service at each demand node. A two-stage heuristic algorithm is designed to solve the model. In the first stage, an initial solution is constructed using a greedy approach based on the principles of the k-medoids clustering algorithm, which considers both spatial and temporal distances. In the second stage, the initial routing solution is optimized using a linear programming approach from the Ortools solver combined with an Improved Adaptive Large Neighborhood Search (IALNS) algorithm. The effectiveness of the proposed model and algorithm is validated through a case study analysis. The results demonstrate that the initial solutions obtained through the k-medoids clustering algorithm based on spatio-temporal distance improved the overall cost optimization by 1.85% and 4.74% compared to the other two algorithms. Among the three two-stage heuristic algorithms, the Ortools-IALNS proposed here showed enhancements in the overall cost optimization over the IALNS, with improvements of 3.24%, 1.12%, and 0.41%, respectively. The two-stage heuristic algorithm designed in this study also converged faster than the other two heuristic algorithms, with overall optimization improvements of 1.55% and 1.28%, further validating the superior performance of the proposed heuristic algorithm.
Compressive Sensing of Multichannel Electroencephalogram Signals Based on Nonlocal Low-Rank and Cosparse Priors
Authors: Zhu Jun , Feng Lei , Wang Chunmeng
Published: December 2024

Recent studies have shown that by using channel-correlation and cosparsity in a centralized framework, the accuracy of reconstructing multichannel EEG signals can be improved. A single-channel electroencephalogram (EEG) signal is intrinsically non-sparse in both the converted and raw time domains, which presents a number of important issues. However, this is ignored by contemporary compressive sensing (CS) algorithms, resulting in less recovery quality than is ideal. To address these constraints, we provide a novel CS method that takes advantage of Nonlocal Low-Rank and Cosparse priors (NLRC). By utilizing low-rank approximations and block operations, our method aims to improve the CS recovery process and take advantage of channel correlations. The Alternating Direction Method of Multipliers (ADMM) are also used to efficiently solve the resulting non-convex optimization problem. The outcomes of the experiments unequivocally demonstrate that by using NLRC, the quality of signal reconstruction is significantly enhanced.