bluuebunny/crossref_metadata_2025 huggingface dataset:
Does Play-Based Learning Support Children’s Everyday Resiliency? A Cross-Case Analysis of Parents’ and Kindergarten Teachers’ Perceptions of Play-Based Learning as a Precedent to Young Children’s Coping During the Pandemic-Affected 2020–2021 School Year
Authors: Fyffe Lisa , Lewis Angela
Published: November 2024

Background: Play has long been credited with fostering self-regulation in young children, though few studies have examined how children draw upon early childhood experiences with play to navigate adversity later in childhood. The purpose of this study is to describe the facets of the children’s everyday resiliency that were attributed to their play-based experiences by parents and teachers as they reflected on the children’s kindergarten experiences during the COVID-19 pandemic. Methods: We used a cross-case study design to examine the positive coping strategies parents and teachers observed in three five-year-old girls and one six-year-old boy entering kindergarten during the 2020–2021 pandemic-affected school year. We recruited parent participants based on their child’s enrollment at a Reggio Emilia-inspired, play-based early childhood center in Northern Colorado for three or more years prior to entering kindergarten. Once parents enrolled in the study, we extended an invitation to their child’s kindergarten teacher to participate. Data included three one-hour interviews with each participant, field visits during remote learning, and artifact collection over the course of the school year. Results: Cross-case analysis revealed four themes: “Willing to Adjust”, “Understands the Situation”, “Uses Advanced Language”, and “Embraces Challenge”. Participants describe these children as willing to adjust to public health orders, having a deep understanding of the pandemic’s societal repercussions, using sophisticated language to process adversity, and embracing the challenge of becoming kindergarteners. Conclusions: Participants believed these children’s experiences with play-based learning promoted the interdisciplinary development of their social language, persistence, altruism, and cognitive flexibility; these traits fostered the children’s positive coping strategies throughout the pandemic-affected kindergarten year.
Hyperlactataemia Following Crystalloid Cardiopulmonary Bypass Priming in Paediatric Cardiac Surgery—Benign or Malignant? A Retrospective Study
Authors: Bowers Philippa Jane Temple , Daley Michael , Shrimpton Nicole Yvette Renee , Mattke Adrian , Shikata Fumiaki , Betts Kim , Black Anthony , Marathe Supreet Prakash , Venugopal Prem , Alphonso Nelson
Published: November 2024

Background: Various mechanisms leading to early hyperlactataemia post-cardiac surgery have been postulated. Specifically, in the paediatric population, benign early hyperlactataemia may be associated with crystalloid priming in the cardiopulmonary bypass circuit. The aim of this study was to review paediatric patients who had crystalloid prime and assess their outcomes. Methods: A retrospective review of paediatric patients who underwent cardiac surgery with crystalloid prime at our institution between November 2014 and May 2018 was performed. Data were collected from medical and laboratory records. Results: Among 569 patients, 237 (42%) received a crystalloid prime; 51 (22%) were excluded due to intraoperative hyperlactataemia. Of the remaining 186 patients, 98 (53%) developed hyperlactataemia postoperatively. Patients with hyperlactataemia had longer cardiopulmonary bypass and aortic cross-clamp times but similar Aristotle complexity scores. Patients with postoperative hyperlactataemia had higher peak VIS [median 8 (IQR 0–8) vs. 5 (IQR 0–8)] within the first 24 h (p = 0.002). However, there was no difference in the duration of ventilation between the two groups (p = 0.14). Yet only 58% of patients with hyperlactataemia were discharged from the ICU within 24 h, compared to 78% without hyperlactataemia. Conclusions: In this study population, transient postoperative hyperlactataemia in paediatric patients with crystalloid prime may not necessarily indicate tissue hypoxaemia. Despite a similar duration of ventilation in patients with and without hyperlactataemia, patients with hyperlactataemia had a longer duration of inotropes and ICU stay. Consideration should be given to discontinuing inotropes in patients with crystalloid prime and postoperative early hyperlactataemia once they are extubated.
Twelve-Year Changes in Pre-Schoolers’ Oral Health and Parental Involvement in Children’s Dental Care: Results from Two Repeated Cross-Sectional Surveys in Lithuania
Authors: Zaborskis Apolinaras , Razmienė Jaunė , Razmaitė Augustė , Andruškevičienė Vilija , Narbutaitė Julija , Bendoraitienė Eglė Aida , Kavaliauskienė Aistė
Published: November 2024

Background and objectives: The role of parents and the family in promoting children’s oral health is increasingly acknowledged in the dental literature. This study aimed to investigate twelve-year changes in pre-schoolers’ oral health and parental involvement in children’s dental care using data from two repeated cross-sectional surveys. The objectives were (1) to assess the temporal changes in children’s dental health status and oral health-related behaviours, (2) to examine temporal changes in parental attitudes toward their children’s oral health care, and (3) to analyze the associations between observed changes. Materials and methods: Two identical cross-sectional surveys were conducted in 2010/2011 (n = 294) and 2023 (n = 304). In both surveys, parents answered questions regarding their children’s oral health care and completed the 38-item ‘Parental Attitudes toward Children’s Oral Health’ (PACOH) scale, while the dental health of their 3–7-year-old children was clinically assessed. Changes in the examined characteristics were analyzed using general linear models. Results: Significant positive changes (p < 0.001) were observed when comparing the surveys: the dmf-t (decayed, missing, filled teeth) score for deciduous teeth decreased from 5.56 to 3.31; the Silness–Löe Plaque Index decreased from 1.45 to 1.15; the percentage of children brushing their teeth regularly increased from 33.0% to 55.3%; the percentage of parents assisting their child with tooth brushing increased from 19.2% to 85.1%; and regular visits to a children’s dentist increased from 36.4% to 85.1%. Moreover, the study revealed better parental attitudes toward their children’s oral health care, as reflected by a change in the total score of the PACOH scale from 112 to 122. Conclusions: It was concluded that changes in parental attitudes played a crucial role in driving positive trends in oral health-related behaviours, which likely contributed to the improvement of dental health in children. Therefore, understanding and influencing parental attitudes can be essential for promoting good oral health skills and good oral health in young children.
Refugee Caregivers’ Perceptions of Using Mindfulness-Based Interventions to Support Coping Skills in Children with Disability in Jordan
Authors: Fayad Zeina , Bakhsh Hadeel R. , AlHeresh Rawan
Published: November 2024

Background: Refugee children with disabilities are vulnerable to developing dysfunctional coping skills due to barriers in accessing health care services, including occupational therapy (OT). This study investigated the perceptions of refugee caregivers regarding the use of mindfulness-based interventions (MBIs) as a treatment for coping skills among their children with disabilities. Methods: A qualitative survey was used to analyse the coping mechanisms and access to services among refugee children with disabilities, as well as their caregivers’ perceptions regarding the use of MBIs. The caregivers were recruited using convenience sampling from a database of individuals at the Al-Baqa’a refugee camp in Jordan via their community-based rehabilitation (CBR) centre. A demographic survey was sent to 156 refugees using WhatsApp. Refugees above the age of 18 years identifying as the caregivers of children with disabilities were eligible. Twenty-eight individuals completed the survey, and twenty-six were eligible. Open-ended questions asked about their child’s struggles, supports, barriers to support, and perceptions of MBIs. The data were collected via Google Sheets. Three researchers coded the responses using a descriptive coding method and line-by-line analysis. Results: Five themes were derived from the responses: “Daily Challenges”, “Support and Strategies”, “barriers to accessing support”, “MBIs: Caregiver Perceptions”, and “MBIs: Barriers”. The participants identified the behavioural, emotional, and cognitive challenges impacting their child’s participation. Financial and environmental constraints, stigma, and timing were the reported barriers to services. The participants felt positive about the potential of MBIs to support their children. Conclusions: Overall, this study obtained foundational data to establish accessible mental health programmes for refugees with disabilities. Further research is needed to transcend the barriers and maintain MBI programmes in the community and the home settings.
Lactylation Modification as a Promoter of Bladder Cancer: Insights from Multi-Omics Analysis
Authors: He Yipeng , Xiang Lingyan , Yuan Jingping , Yan Honglin
Published: November 2024

Bladder cancer (BLAC) is a malignant tumor with high morbidity and mortality. The establishment of a prognostic model for BLAC is of great significance for clinical prognosis prediction and treatment guidance. Lactylation modification is a newly discovered post-transcriptional modification of proteins, which is closely related to the occurrence and development of tumors. Multiple omics data of BLAC were obtained from the GEO database and TCGA database. The Lasso algorithm was used to establish a prognostic model related to lactylation modification, and its predictive ability was tested with a validation cohort. Functional enrichment analysis, tumor microenvironment analysis, and treatment response evaluation were performed on the high- and low-risk groups. Single-cell and spatial transcriptome data were used to analyze the distribution characteristics of model genes and their changes during epithelial carcinogenesis. A prognostic model consisting of 12 genes was constructed. The survival rate of the high-risk group was significantly lower than that of the low-risk group. The multiple ROC curve showed that the prediction efficiency of the model was higher than that of the traditional clinical tumor grading. Functional enrichment analysis showed that glycolysis and hypoxia pathways were significantly upregulated in the high-risk group. The high-risk group was more sensitive to most first-line chemotherapy drugs, while the low-risk group had a better response to immunotherapy. Single-cell sequencing analysis revealed the dynamic changes of model genes during the transition of epithelial cells to squamous-differentiated cells. Spatial transcriptome analysis showed the spatial distribution characteristics of the model genes. The lactylation-related models have a satisfactory predictive ability and the potential to guide the clinical treatment of BLAC. This model has significant biological implications at the single-cell level as well as at the spatial level.
Oral Cancer: Prophylaxis, Etiopathogenesis and Treatment
Authors: Popovici Violeta , Ozon Emma Adriana
Published: November 2024

Oral cancer contributes to approximately 3–10% of all cancer mortality worldwide, and its incidence is continuously increasing due to environmental conditions and harmful habits of the modern lifestyle [...]
Incidence Trends of Rheumatoid Arthritis in Korea for 11 Years (2006–2017)
Authors: Lee Hanna , Lee Sang-Il , Lim Hyunjin , Kim Hyun-Ok , Kim Rock Bum , Cheon Yun-Hong
Published: November 2024

Background/Objectives: Rheumatoid arthritis (RA) is a chronic inflammatory disorder characterized by joint damage. However, no incidence analyses have been conducted on a Korean population since 2013. We aimed to calculate the incidence of RA and examine trends using complete Korean National Health Insurance Service claims data from 2007. Methods: We used 16 years of Korean NHIS claims data from 1 January 2002 to 31 December 2017. Patients were defined as having RA when diagnosed with ICD-10 codes M05 and M06. We set the 5-year period prior to 2006 as disease-free. Results: From 2007 to 2017, the incidence rate of RA was 35 to 43 per 100,000 individuals. The female-to-male ratio was approximately 3–3.5 to 1. The sex-standardized incidence rate was highest in the 60–69 age group but gradually declined, resulting in a reversal in 2017, with the highest incidence rate observed in the 50–59 age group. The incidence of elderly onset RA (EORA) in individuals aged >60 years exhibited a decreasing trend during the study period (age 60–69, −6.45, 95% CI = −8.27 to −4.62, p < 0.001; age ≥70, −6.09, 95% CI = −7.66 to −4.53, p < 0.001). Conclusions: This study is the first to analyze the incidence trend of RA over an 11-year period. In South Korea, the incidence of RA has shown a decreasing trend since 2011; the same trend was observed in the EORA group. Young-onset RA showed the opposite trend, suggesting that RA is diagnosed earlier, due to the new RA classification criteria.
Experimental Study on the Pelleting and Coating Performance of Red Clover Seeds
Authors: Xue Jing , Ma Xuejie , Hou Zhanfeng , Guo Mengjun , Zhang Xiaoming
Published: November 2024

This study aimed to optimize the pelleting and coating process for red clover seeds, addressing the issue of low pelleting success rates. Through theoretical analysis and experimental research, coating pan fill rate, powder supply quantity, and pelleting time were identified as key factors influencing the pelleting success rate. Single-factor experiments were conducted to investigate the effects of these parameters on the quality of red clover seed pelleting and coating. Based on these results, orthogonal trials were carried out, and response surface analysis was employed to reveal the influence patterns and interactions of each factor. The research results indicate that the factors affecting the pelleting success rate, ranked in order of importance, are coating pan fill rate, pelleting time, and powder supply quantity. Through mathematical model optimization, the optimal combination of process parameters was determined to be coating pan fill rate of 35.9%, powder supply quantity of 160.2 g, and pelleting time of 6.9 s. Under these conditions, a pelleting success rate of 94.3% was achieved in validation experiments. This study provides a theoretical foundation and practical guidance for optimizing the pelleting and coating process of red clover seeds, which is significant for improving seed coating quality and promoting red clover cultivation.
Fatigue Crack Growth Behavior of Additively Manufactured Ti Metal Matrix Composite with TiB Particles
Authors: Balakumar Thevika , Edrisy Afsaneh , Riahi Reza A.
Published: November 2024

Fatigue crack growth behavior of additively manufactured Ti metal matrix composite with TiB particles at room temperature was studied using a compact tension specimen and at the stress ratio of 0.1 (R = 0.1). The composite studied in this work was manufactured with a unique additive technique called plasma transferred arc solid free-form fabrication, which was designed to manufacture low-cost near-net-shaped components for aerospace and automotive industries. The fatigue crack growth rate experiments were carried perpendicular and parallel to the additive material build, aiming to find any fatigue anisotropies at room temperature. The findings reveal that additively manufactured Ti-TiB composite shows isotropic fatigue properties with respect to fatigue crack growth. Furthermore, the fatigue crack growth mechanisms in this additive composite material were identified as void nucleation/coalescence and the bypassing of particles and matrix, depending on the interparticle distance.
Preliminary Study of Airfoil Design Synthesis Using a Conditional Diffusion Model and Smoothing Method
Authors: Yonekura Kazuo , Oshima Yuta , Aichi Masaatsu
Published: November 2024

Generative models such as generative adversarial networks and variational autoencoders are widely used for design synthesis. A diffusion model is another generative model that outperforms GANs and VAEs in image processing. It has also been applied in design synthesis, but was limited to only shape generation. It is important in design synthesis to generate shapes that satisfy the required performance. For such aims, a conditional diffusion model has to be used, but has not been studied. In this study, we applied a conditional diffusion model to the design synthesis and showed that the output of this diffusion model contains noisy data caused by Gaussian noise. We show that we can conduct flow analysis on the generated data by using smoothing filters.
Solution Strengthening and Short-Range Order in Cold-Drawn Pearlitic Steel Wires
Authors: Zhao Gang , Jiao Jianyu , Wu Yan , Bai Fengmei , Zhou Hongwei , Xue Jun , Zhu Yixuan , Zheng Guangwen
Published: November 2024

Pearlitic steel rods are subjected to cold-drawing processes to produce pearlitic steel wires with true strains ranging from 0.81 to 2.18. Tensile tests are utilized to attain mechanical properties of cold-drawn pearlitic steel wires. TEM and XRD investigations were performed on the microstructure of the cold-drawn steel wires. With an increasing cold-drawn strain, both the interlamellar spacing and cementite lamellae thickness decrease, while the dislocation density significantly increases. The drawn wire has a tensile strength of 2170 MPa when the true stain reaches 2.18. Deformation-induced cementite dissolution occurs during cold-drawing progress, which releases many C atoms. The findings indicate that the supersaturation of C is heterogeneously distributed in the ferrite matrix. The ordered distribution of the released C in ferrite phases creates short-range order (SRO). SRO clusters and disordered Cottrell atmospheres contribute to solution strengthening, which, together with dislocation strengthening and interlamellar boundary strengthening, form an effective strengthening mechanism in cold-drawn pearlitic steel wires. Our work provides new insights into carbon redistribution and the mechanism of solution strengthening within ferrous phases.
Risk Factors of Immune-Mediated Hepatotoxicity Induced by Immune Checkpoint Inhibitors in Cancer Patients: A Systematic Review and Meta-Analysis
Authors: Jiang Ying , Li Ranyi , Li Xiaoyu , Zhang Ningping
Published: November 2024

Immune checkpoint inhibitors (ICIs) significantly improve survival, while immune-mediated hepatotoxicity (IMH) has been reported. To evaluate the incidence and potential risk factors of IMH among cancer patients treated by ICIs, PubMed/Medline, Web of Science, Cochrane, and Embase were searched before 30 March 2024 for systematic review and meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CI) were calculated. Quality assessment was completed using the Newcastle–Ottawa scale. Of 1217 articles identified, 24 consisting of 9076 patients were included, with one study being prospective and the rest retrospective. The overall incidence of any grade IMH and grade ≥ 3 secondary to ICIs was 14% and 7%, respectively. The cholestatic pattern was more prevalent than the hepatocellular and mixed patterns. The meta-analysis revealed that ICI treatment was related to reduced risk of IMH in older patients (SMD: −0.18; 95% CI: −0.33 to −0.04), individuals with higher body mass index (WMD: −2.15; 95% CI: −3.92 to −0.38), males (OR: 0.44; 95% CI: 0.27 to 0.72), and patients with lung cancer (OR: 0.58, 95%CI 0.41 to 0.83). On the other hand, patients with liver metastasis (OR: 1.80; 95% CI: 1.47 to 2.20), history of ICI treatment (OR: 3.09; 95% CI: 1.21 to 7.89), diabetes (OR: 2.19; 95% CI: 1.36 to 3.51), chronic HBV (OR: 3.06; 95% CI: 1.11 to 8.46), and concomitant use of ICIs (OR: 8.73; 95% CI: 2.41 to 31.59) increased the risk of developing IMH. This study will provide clinicians with information on potentially high-risk groups for IMH, who need to be cautiously monitored for liver function when receiving immunotherapy.
Proteomic Profiling of COVID-19 Patients Sera: Differential Expression with Varying Disease Stage and Potential Biomarkers
Authors: Dandachi Iman , Alaiya Ayodele , Shinwari Zakia , Abbas Basma , Karkashan Alaa , Al-Amari Ahod , Aljabr Waleed
Published: November 2024

Background/Objectives: SARS-CoV-2 is one of the viruses that caused worldwide health issues. This effect is mainly due to the wide range of disease prognoses it can cause. The aim of this study is to determine protein profiles that can be used as potential biomarkers for patients’ stratification, as well as potential targets for drug development. Methods: Eighty peripheral blood samples were collected from heathy as well as SARS-CoV-2 patients admitted at a major tertiary care center in Riyadh, Saudi Arabia. A label-free quantitative mass spectrometry-based proteomic analysis was conducted on the extracted sera. Protein–protein interactions and functional annotations of identified proteins were performed using the STRING. Results: In total, two-hundred-eighty-eight proteins were dysregulated among all four categories. Dysregulated proteins were mainly involved in the network map of SARS-CoV-2, immune responses, complement activation, and lipid transport. Compared to healthy subjects, the most common upregulated protein in all three categories were CRP, LGALS3BP, SAA2, as well as others involved in SARS-CoV-2 pathways such as ZAP70 and IGLL1. Notably, we found fifteen proteins that significantly discriminate between healthy/recovered subjects and moderate/under medication patients, among which are the SERPINA7, HSPD1 and TTC41P proteins. These proteins were also significantly downregulated in under medication versus moderate patients. Conclusions: Our results emphasize the possible association of specific proteins with the SARS-CoV-2 pathogenesis and their potential use as disease biomarkers and drug targets. Our study also gave insights about specific proteins that are likely increased upon infection but are likely restored post recovery.
Case Report of Placenta Accreta Spectrum and Arteriovenous Malformations with Successful Preservation of Fertility After Birth
Authors: Vaduva Constantin-Cristian , Dira Laurentiu , Sandulescu Sidonia Maria , Constantin Cristian , Bernad Elena Silvia , Albulescu Dana Maria , Serbanescu Mircea-Sebastian , Boldeanu Lidia
Published: November 2024

Uterine arteriovenous malformations (UAVMs) that occur after birth are a rare cause of late postpartum hemorrhage. Acquired UAVMs usually occur in conjunction with pathology of the placenta. In the spectrum of placenta accreta (PAS), subinvolution of the placental bed plays an important role in its pathophysiology. We present a case of UAVM in a pregnant woman with PAS who presented with marked metrorrhagia after delivery, which was treated with classical management. Then, 35 days later, she presented to the emergency room with severe metrorrhagia. As it was suspected that she had placental remnants, an instrumental uterine control was performed, but the bleeding persisted, requiring further uterine packing and blood administration. Later, uterine artery embolization was performed with good results. Color Doppler ultrasound, magnetic resonance imaging, and angiography were the methods with the greatest diagnostic value. The differential diagnosis was as complex as the treatment. We hypothesize that UAVM may develop from minimal residual PAS in this late postpartum period. Moreover, they may recover rapidly after local surgical ablation. Considering the clinical condition, hemodynamic status, and desire to preserve fertility, we were able to avoid a hysterectomy, which is often chosen in such cases of severe, life-threatening bleeding complications.
Association Between Retinol-Binding Protein 4 Levels and Hepatitis C Virus Infection: A Meta-Analysis
Authors: Lin Yingying , Cui Xinyu , Zhu Na , Li Yanyan , Wang Peng , Wang Xin , Yi Yunyun , Li Xin
Published: November 2024

Background and Objectives: The relationship between circulating retinol-binding protein 4 (RBP4) levels and hepatitis C virus (HCV) infection remains unclear. This study aims to systematically assess RBP4 expression in patients with HCV and its correlation with disease severity. Materials and Methods: We searched the Embase, PubMed, and Cochrane databases for relevant studies up to 1 January 2024. This study was registered on PROSPERO (CRD42023489051). Results: Our analysis included eight studies with 2612 participants (1152 controls and 1282 patients with HCV). Overall, RBP4 levels did not significantly differ between patients with HCV and controls (SMD: −0.36; 95% CI: −0.94, 0.23; p = 0.23). However, in a subgroup of Asian subjects, patients with HCV showed significantly lower RBP4 levels (SMD: −0.40; 95% CI: −0.49, −0.31; p = 0.10). Additionally, a negative correlation between RBP4 levels and disease severity was observed across all studied populations. Conclusions: RBP4 levels may vary due to HCV genotype, ethnicity, and environmental factors. In the context of HCV infection, RBP4 levels appear to reflect the severity of disease progression. Our findings indicate that RBP4 could serve as a biomarker for HCV disease progression. Further research is needed to elucidate the complex mechanisms of RBP4 in HCV infection.
Coverage Estimation of Droplets Sprayed on Water-Sensitive Papers Based on Domain-Adaptive Segmentation
Authors: Lee Dae-Hyun , Seong Baek-Gyeom , Baek Seung-Yun , Lee Chun-Gu , Kang Yeong-Ho , Han Xiongzhe , Yu Seung-Hwa
Published: November 2024

Unmanned aerial spraying systems (UASSs) are widely used today for the effective control of pests affecting crops, and more advanced UASS techniques are now being developed. To evaluate such systems, artificial targets are typically used to assess droplet coverage through image processing. To evaluate performance accurately, high-quality binary image processing is necessary; however, this involves labor for sample collection, transportation, and storage, as well as the risk of potential contamination during the process. Therefore, rapid assessment in the field is essential. In the present study, we evaluated droplet coverage on water-sensitive papers (WSPs) under field conditions. A dataset was constructed consisting of paired training examples, each comprising source and target data. The source data were high-quality labeled images obtained from WSP samples through image processing, while the target data were aligned RoIs within field images captured in situ. Droplet coverage estimation was performed using an encoder–decoder model, trained on the labeled images, with features adapted to field images via self-supervised learning. The results indicate that the proposed method detected droplet coverage in field images with an error of less than 5%, demonstrating a strong correlation between measured and estimated values (R2 = 0.99). The method proposed in this paper enables immediate and accurate evaluation of the performance of UASSs in situ.
An Instructive CO2 Adsorption Model for DAC: Wave Solutions and Optimal Processes
Authors: Kay-Leighton Emily , Struchtrup Henning
Published: November 2024

We present and investigate a simple yet instructive model for the adsorption of CO2 from air in porous media as used in direct air capture (DAC) processes. Mathematical analysis and non-dimensionalization reveal that the sorbent is characterized by the sorption timescale and capacity, while the adsorption process is effectively wavelike. The systematic evaluation shows that the overall adsorption rate and the recommended charging duration depend only on the wave parameter that is found as the ratio of capacity and dimensionless air flow velocity. Specifically, smaller wave parameters yield a larger overall charging rate, while larger wave parameters reduce the work required to move air through the sorbent. Thus, optimal process conditions must compromise between a large overall adsorption rate and low work requirements.
DUS Topp–Leone-G Family of Distributions: Baseline Extension, Properties, Estimation, Simulation and Useful Applications
Authors: Ekemezie Divine-Favour N. , Anyiam Kizito E. , Kayid Mohammed , Balogun Oluwafemi Samson , Obulezi Okechukwu J.
Published: November 2024

This study introduces the DUS Topp–Leone family of distributions, a novel extension of the Topp–Leone distribution enhanced by the DUS transformer. We derive the cumulative distribution function (CDF) and probability density function (PDF), demonstrating the distribution’s flexibility in modeling various lifetime phenomena. The DUS-TL exponential distribution was studied as a sub-model, with analytical and graphical evidence revealing that it exhibits a unique unimodal shape, along with fat-tail characteristics, making it suitable for time-to-event data analysis. We evaluate parameter estimation methods, revealing that non-Bayesian approaches, particularly Maximum Likelihood and Least Squares, outperform Bayesian techniques in terms of bias and root mean square error. Additionally, the distribution effectively models datasets with varying skewness and kurtosis values, as illustrated by its application to total factor productivity data across African countries and the mortality rate of people who injected drugs. Overall, the DUS Topp–Leone family represents a significant advancement in statistical modeling, offering robust tools for researchers in diverse fields.
A Taxonomy of Embodiment in the AI Era
Authors: Hellström Thomas , Kaiser Niclas , Bensch Suna
Published: November 2024

This paper presents a taxonomy of agents’ embodiment in physical and virtual environments. It categorizes embodiment based on five entities: the agent being embodied, the possible mediator of the embodiment, the environment in which sensing and acting take place, the degree of body, and the intertwining of body, mind, and environment. The taxonomy is applied to a wide range of embodiment of humans, artifacts, and programs, including recent technological and scientific innovations related to virtual reality, augmented reality, telepresence, the metaverse, digital twins, and large language models. The presented taxonomy is a powerful tool to analyze, clarify, and compare complex cases of embodiment. For example, it makes the choice between a dualistic and non-dualistic perspective of an agent’s embodiment explicit and clear. The taxonomy also aided us to formulate the term “embodiment by proxy” to denote how seemingly non-embodied agents may affect the world by using humans as “extended arms”. We also introduce the concept “off-line embodiment” to describe large language models’ ability to create an illusion of human perception.
Dual-Attention Multiple Instance Learning Framework for Pathology Whole-Slide Image Classification
Authors: Liu Dehua , Li Chengming , Hu Xiping , Hu Bin
Published: November 2024

Conventional methods for tumor diagnosis suffer from two inherent limitations: they are time-consuming and subjective. Computer-aided diagnosis (CAD) is an important approach for addressing these limitations. Pathology whole-slide images (WSIs) are high-resolution tissue images that have made significant contributions to cancer diagnosis and prognosis assessment. Due to the complexity of WSIs and the availability of only slide-level labels, multiple instance learning (MIL) has become the primary framework for WSI classification. However, most MIL methods fail to capture the interdependence among image patches within a WSI, which is crucial for accurate classification prediction. Moreover, due to the weak supervision of slide-level labels, overfitting may occur during the training process. To address these issues, this paper proposes a dual-attention-based multiple instance learning framework (DAMIL). DAMIL leverages the spatial relationships and channel information between WSI patches for classification prediction, without detailed pixel-level tumor annotations. The output of the model preserves the semantic variations in the latent space, enhances semantic disturbance invariance, and provides reliable class identification for the final slide-level representation. We validate the effectiveness of DAMIL on the most commonly used public dataset, Camelyon16. The results demonstrate that DAMIL outperforms the state-of-the-art methods in terms of classification accuracy (ACC), area under the curve (AUC), and F1-Score. Our model also allows for the examination of its interpretability by visualizing the dual-attention weights. To the best of our knowledge, this is the first attempt to use a dual-attention mechanism, considering both spatial and channel information, for whole-slide image classification.
Advanced, Real-Time Programmable FPGA-Based Digital Filtering Unit for IR Detection Modules
Authors: Achtenberg Krzysztof , Szplet Ryszard , Bielecki Zbigniew
Published: November 2024

This paper presents a programmable digital filtering unit dedicated to operating with signals from infrared (IR) detection modules. The designed device is quite useful for increasing the signal-to-noise ratio due to the reduction in noise and interference from detector–amplifier circuits or external radiation sources. Moreover, the developed device is flexible due to the possibility of programming the desired filter types and their responses. In the circuit, an advanced field-programmable gate array FPGA chip was used to ensure an adequate number of resources that are necessary to implement an effective filtration process. The proposed circuity was assisted by a 32-bit microcontroller to perform controlling functions and could operate at frequency sampling of up to 40 MSa/s with 16-bit resolution. In addition, in our application, the sampling frequency decimation enabled obtaining relatively narrow passband characteristics also in the low frequency range. The filtered signal was available in real time at the digital-to-analog converter output. In the paper, we showed results of simulations and real measurements of filters implementation in the FPGA device. Moreover, we also presented a practical application of the proposed circuit in cooperation with an InAsSb mid-IR detector module, where its self-noise was effectively reduced. The presented device can be regarded as an attractive alternative to the lock-in technique, artificial intelligence algorithms, or wavelet transform in applications where their use is impossible or problematic. Comparing the presented device with the previous proposal, a higher signal-to-noise ratio improvement and wider bandwidth of operation were obtained.
A Sinusoidal Current Generator IC with 0.04% THD for Bio-Impedance Spectroscopy Using a Digital ΔΣ Modulator and FIR Filter
Authors: Yun Soohyun , Bae Joonsung
Published: November 2024

This paper presents a highly efficient, low-power, compact mixed-signal sinusoidal current generator (CG) integrated circuit (IC) designed for bioelectrical impedance spectroscopy (BIS) with low total harmonic distortion (THD). The proposed system employs a 9-bit sine wave lookup table (LUT) which is simplified to a 4-bit data stream through a third-order digital delta–sigma modulator (ΔΣM). Unlike conventional analog low-pass filters (LPF), which statically limit bandwidth, the finite impulse response (FIR) filter attenuates high-frequency noise according to the operating frequency, allowing the frequency range of the sinusoidal signal to vary. Additionally, the output of the FIR filter is applied to a 6-bit capacitive digital-to-analog converter (CDAC) with data-weighted averaging (DWA), enabling dynamic capacitor matching and seamless interfacing. The sinusoidal CG IC, fabricated using a 65 nm CMOS process, produces a 5 μA amplitude and operates over a wide frequency range of 0.6 to 20 kHz. This highly synthesizable CG achieves a THD of 0.04%, consumes 19.2 μW of power, and occupies an area of 0.0798 mm2. These attributes make the CG IC highly suitable for compact, low-power bio-impedance applications.
MDD-DETR: Lightweight Detection Algorithm for Printed Circuit Board Minor Defects
Authors: Peng Jinmin , Fan Weipeng , Lan Song , Wang Dingran
Published: November 2024

PCBs (printed circuit boards) are the core components of modern electronic devices, and inspecting them for defects will have a direct impact on the performance, reliability and cost of the product. However, the performance of current detection algorithms in identifying minor PCB defects (e.g., mouse bite and spur) still requires improvement. This paper presents the MDD-DETR algorithm for detecting minor defects in PCBs. The backbone network, MDDNet, is used to efficiently extract features while significantly reducing the number of parameters. Simultaneously, the HiLo attention mechanism captures both high- and low-frequency features, transmitting a broader range of gradient information to the neck. Additionally, the proposed SOEP neck network effectively fuses scale features, particularly those rich in small targets, while INM-IoU loss function optimization enables more effective distinction between defects and background, further improving detection accuracy. Experimental results on the PCB_DATASET show that MDD-DETR achieves a 99.3% mAP, outperforming RT-DETR by 2.0% and reducing parameters by 32.3%, thus effectively addressing the challenges of detecting minor PCB defects.
Energy Consumption Optimization for an Electric Delivery Vehicle
Authors: Łebkowski Andrzej
Published: November 2024

For nearly two centuries, electric drives have been used in transportation. Nevertheless, they were not always favored by designers. The century-long dominance of heat engines led to the disregard of numerous challenges associated with the operation of electric drive systems. One of these issues is the optimization of energy consumption by an electric vehicle. This publication proposes an electronic Energy Consumption Optimizer (ECO) that predictively uses information about the shape of the route and speed limits on its individual sections to control the motor speed and gear changes in the gearbox. This work presents the structure of the optimizer system and the developed control algorithms. Additionally, electric motor excitation control was used, which may have contributed to reducing the power and weight of the electric drive motor. Simulation studies carried out using WLTP test cycles and cycles from real road routes showed the potential to decrease energy consumption for vehicle movement by approximately 10%.
Valorization of White Lupin Straw Through Mild Dilute Acid Hydrothermal Treatment: A Sustainable Route for Monosaccharide and 5-Hydroxymethylfurfural Production
Authors: Pińkowska Hanna , Krzywonos Małgorzata , Wolak Paweł , Złocińska Adrianna
Published: November 2024

This study investigates the potential use of white lupine straw (WLS), an underutilized agricultural by-product, as a raw material to produce valuable biochemicals such as monosaccharides and 5-hydroxymethylfurfural (5-HMF) through hydrothermal pretreatment. The aim was to optimize mild reaction conditions to maximize the recovery of these products while minimizing degradation. The hydrothermal treatment of WLS in subcritical water with trace amounts of sulfuric acid was performed, followed by a two-step approach to evaluate the yields of hemicellulose and 5-HMF. The highest monosaccharide yield (163 g/kg) was achieved at temperatures between 174 and 181 °C and a holding time of 7–14 min, while the 5-HMF production was 139.9 g/kg at 199–203 °C and after 0.5–4.5 min. These results suggest that optimal 5-HMF production also increases the remaining solid residue. This study highlights the feasibility of WLS as a sustainable, low-cost biomass resource. It highlights the balance between temperature and time to maximize valuable product yields. The results contribute to advancing biorefinery processes by demonstrating that WLS can be effectively converted into bioethanol precursors and industrial chemicals, supporting circular bioeconomy principles and providing an environmentally friendly alternative to burning crop residues.
Research on Voltage Self-Calibration Sensing Technology Based on Measurement Circuit Topology Changes
Authors: Sun Shangpeng , Qiu Zhenhui , Song Shijun , He Jianjian , Ma Feiyue , Yang Qing
Published: November 2024

In capacitance-coupled voltage-sensing technology, the degree of coupling capacitance is affected by the sensing area, relative position deviation, and other factors, and thus the measurement coefficient is often difficult to determine accurately and presents greater implementation difficulties in actual deployment. This paper proposes a dynamic reconfiguration based on the measurement circuit topology of the voltage sensor adaptive calibration method in order to measure voltage sensor gain in the process of automatic measuring. Firstly, the basic principle of voltage measurement is introduced, and the self-calibration method is proposed, considering the influence of the sensing area and the relative position error on the change in the coupling capacitance. On this basis, the influence of calibration accuracy on sensor structure parameters is analyzed using network sensitivity analysis, and the parameter selection principle is given, according to which the selection criterion of parameter optimization is formulated to complete the sensor design. By analyzing the coupling effect of the three-phase measurement, the installation method of the sensing structure is proposed. An experimental platform is built to test the accuracy of the voltage measurement of the sensor under laboratory conditions. The experimental results show that the maximum relative error of the voltage measurement amplitude is 2.24%. In order to verify the feasibility of the sensor technology designed, the measurement models that integrate communication, acquisition, and processing are installed on both ends of the circuit breaker wire, and the voltage waveform generated during the circuit breaker closing process is recorded in real time. The experimental results show that the sensor technology can accurately record the voltage waveform of the signal to be measured, and the feasibility of its application in switchgear equipment signal measurement is preliminarily verified by the results.
Impact of Power Quality on the Efficiency of the Mining Process
Authors: Siostrzonek Tomasz , Wójcik Jakub , Dutka Mateusz , Siostrzonek Wojciech
Published: November 2024

There are currently more than 30 underground mines operating in Poland. These are mines extracting hard coal, salt, and metal ores. Each of these plants has its own specifics for operation, but all operate under the same regulations. The basic principle is to ensure the safety of the crew and equipment. The progressive mechanization and automation of the mining process results in the installation of power electronic converters in the networks of mining plants, which significantly deteriorate the quality of the power in the plant supply networks. In addition, the constant reconfiguration of these networks related to the progress of the work can affect the safety conditions of the plant. This article describes problems occurring at one underground mining plant that are related to the structure of the power grid. Failures and interruptions in the production process were the result of poor power quality. They directly translated into increased production costs and significantly affected the safety level of the workforce, which could result in further consequences, not only in the financial sphere. The article also addresses the issue of existing legal regulations, the provisions of which may be insufficient in assessing the current state of power quality in mining plants.
Prediction of Efficiency, Performance, and Emissions Based on a Validated Simulation Model in Hydrogen–Gasoline Dual-Fuel Internal Combustion Engines
Authors: Kiss Attila , Szabó Bálint , Kun Krisztián , Weltsch Zoltán
Published: November 2024

This study explores the performance and emissions characteristics of a dual-fuel internal combustion engine operating on a blend of hydrogen and gasoline. This research began with a baseline simulation of a conventional gasoline engine, which was subsequently validated through experimental testing on an AVL testbed. The simulation results closely matched the testbed data, confirming the accuracy of the model, with deviations within 5%. Building on this validated model, a hydrogen–gasoline dual-fuel engine simulation was developed. The predictive simulation revealed an approximately 5% increase in overall engine efficiency at the optimal operating point, primarily due to hydrogen’s combustion properties. Additionally, the injected gasoline mass and CO2 emissions were reduced by around 30% across the RPM range. However, the introduction of hydrogen also resulted in a slight reduction (~10%) in torque, attributed to the lower volumetric efficiency caused by hydrogen displacing intake air. While CO emissions were significantly reduced, NOx emissions nearly doubled due to the higher combustion temperatures associated with hydrogen. This research demonstrates the potential of hydrogen–gasoline dual-fuel systems in reducing carbon emissions, while highlighting the need for further optimization to balance performance with environmental impact.
Assessment of Tube–Fin Contact Materials in Heat Exchangers: Guidelines for Simulation and Experiments
Authors: Budulski László , Loch Gábor , Lenkovics László , Baumann Mihály , Cakó Balázs , Zsebe Tamás , Meiszterics Zoltán , Vasvári Gyula Ferenc , Kurilla Boldizsár , Bitó Tamás , Várady Géza György , Csonka Dávid
Published: November 2024

This paper describes experiments on finned tube heat exchangers, focusing on reducing the thermal contact resistance at the contact between the pipe and the lamella. Various contact materials, such as solders and adhesives, were investigated. Several methods of establishing contact were tested, including blowtorch soldering, brazing, and furnace soldering. Thermal camera measurements were carried out to assess the performance of the contact materials. Moreover, finite element analysis was performed to evaluate the contact materials and establish guidelines in the fin–tube connection modeling by comparing simplified models with the realistic model. Blowtorch brazing tests were successful while soldering attempts failed. During the thermographic measurements, reflective surfaces could be measured after applying a thin layer of paint with high emissivity. These measurements did not provide valuable results; thus, the contact materials were assessed using a finite element analysis. The results from the finite element analysis showed that all the inspected contact materials provided better heat transfer than not using a contact material. The heat transfer rate of the tight-fit realistic model was found to be 33.65 for air and 34.9 for the Zn-22Al contact material. This finding could be utilized in developing heat exchangers with higher heat transfer with the same size.
Conceptual Design of an Urban Pocket Park Located in the Site of the Occurrence of a Nineteenth-Century Chapel Using Representatives of Local Xerothermic Vegetation
Authors: Kopeć Weronika , Hanus-Fajerska Ewa , Bylina Leszek
Published: November 2024

The 19th century neo-Gothic chapel located in the Stradom district of Czestochowa, Southern Poland and built at the intersection of the main streets is a recognizable landmark of great historical value. Unfortunately, the current condition of the surroundings depreciates the charm of such a chapel, and thus does not encourage people to admire it. Therefore, in order to expose such a valuable object, we planned to create a conceptual design of a pocket park around this cultural monument. When choosing the location of any park, it is recommended to know the needs of the local residents, so we conducted a survey regarding their wishes. When designing the area, we intended to use species representing the vegetation characteristic of the Krakow–Czestochowa Upland located in Southern Poland. At the same time, we used a material typical of the area, namely limestone. Design principles around the chapel were taken into account, separating the sacred and profane zones with the intention of giving this site a unique character and creating the first urban pocket park of this kind.