bluuebunny/crossref_metadata_2025 huggingface dataset:
Age Three: Milestone in the Development of Cognitive Flexibility
Authors: Wan Chufan , Cai Hui , Li Fuhong
Published: July 2024

Although the cognitive flexibility (CF) of preschool children has been extensively studied, the development of CF in children around three years old is unclear. This study aimed to investigate the CF of three-year-olds in a stepwise rule-induction task (sRIT) comprising nine steps in which children are encouraged to switch attention to a new rule and then implicitly inhibit the old one. A pair of boxes was displayed at each step, and children aged 2.5 to 3.5 years were asked to select the target. When children learned a rule (e.g., the shape rule), they were encouraged to switch rules through negative feedback. The results showed that most children (81.10%) passed at least one of the two sets of the sRIT, and children over the age of three years performed better than those under three years. Additionally, a positive correlation existed between rule switching and rule generalization, whereby the old rule was implicitly inhibited. These findings indicate that age three might be a milestone in the development of CF, and inhibitory control might play a vital role in rule switching.
Design for Resilient Post-Disaster Wood Waste Upcycling: The Katrina Furniture Project Experience and Its “Legacy” in a Digital Perspective
Authors: Galluccio Giuliano , Deal Brad , Brooks Robert , Russo Ermolli Sergio , Rigillo Marina , Perriccioli Massimo , Esposito De Vita Gabriella , Bevilacqua Carmelina
Published: July 2024

Wood is one of the main materials used in buildings and furniture worldwide. After a disaster, indeed, a considerable amount of timber waste is produced. Wood waste is generally downcycled—i.e., recycled into low-quality products, incinerated for energy production—or, worse, landfilled, but in a post-disaster situation, it not only represents a quantitative issue and an environmental hazard but also acquires a cultural, social, economic and emotional value, thus requiring more effective ways to be managed. The Katrina Furniture Project, led by Sergio Palleroni in 2006 for the regions hit by hurricanes Katrina and Rita, provides a valuable precedent. Through pilot initiatives in New Orleans, furniture design emerged as a resilient practice within the reconstruction process. Affected people were involved for six weeks in a collaborative design workshop, enabling the generation of income, the acquisition of professional skills and, moreover, the rebuilding of a sense of community through collective work and the intrinsic gathering value of the crafted objects. The research develops a desk analysis and an on-field survey to reflect on the social, cultural, economic and environmental impacts of this case study and on the role of furniture design for resilient wood waste upcycling. Finally, the paper discusses the “legacy” of such practices from a digital perspective, analyzing limitations and opportunities within current research in design and manufacturing.
Shear Strengthening of Stone Masonry Walls Using Textile-Reinforced Sarooj Mortar
Authors: Al-Saidi Yasser , Al-Saidy Abdullah H. , El-Gamal Sherif , Sohel Kazi Md Abu
Published: July 2024

Most historical buildings and structures in Oman were built using unreinforced stone masonry. These structures have deteriorated due to the aging of materials, environmental degradation, and lack of maintenance. This research investigates the physical, chemical, and mechanical properties of the local building materials. It also presents the findings of an experimental study on the in-plane shear effectiveness of a modern strengthening technique applied to existing stone masonry walls. The technique consists of the application of a textile-reinforced mortar (TRM) on one or two faces of the walls. Shear loading tests of full-scale masonry samples (1000 mm width, 1000 mm height, and 350 mm depth) were carried out on one unreinforced specimen and six different cases of reinforced specimens. The performances of the unreinforced and reinforced specimens were analyzed and compared. We found that strengthened specimens can resist in-plane shear stresses 1.5–2.1 times greater than those of the unreinforced specimen; moreover, they demonstrate ductility rather than sudden failure, due to the presence of fiberglass and basalt meshes, which restrict the opening of cracks.
Examining the Impact of Material Management Practices on Project Performance in the Construction Industry
Authors: Yıldız Serkan , Güneş Sinan , Kıvrak Serkan
Published: July 2024

In the construction industry, much of the construction process is controlled by materials, and material management has a direct impact on many performance criteria such as cost, time, quality, and efficiency. This study examined the impact on project performance of activities that make up the material management process: planning, supply, logistics, transport, stock, and waste control of building materials. Material management practices were measured using 15 criteria under five different headings, and project performance was measured using 13 criteria under three different headings, through surveys of industry personnel at various construction sites. Multiple regression analyses were performed on the data obtained. The impacts of material management practices on project time, project cost, project efficiency, and waste performance, as well as overall project performance were examined using multiple regression analyses. The analysis showed that material supply, material handling, and stock and waste control had positive impacts on overall project performance, while material planning and material logistics did not have statistically significant impacts. It is concluded that the results of the study will help to better understand the relationship between material management and project performance and will help stakeholders to improve their material management practices.
Current and Future of Robotic Surgery in Thyroid Cancer Treatment
Authors: Park Joonseon , Kim Kwangsoon
Published: July 2024

Thyroid cancer is among the most common endocrine malignancies, necessitating effective surgical interventions. Traditional open cervicotomy has long been the standard approach for thyroidectomy. However, the advent of robotic surgery has introduced new possibilities for minimally invasive procedures with benefits in terms of cosmetic outcomes, enhanced precision, comparable complication rates, and reduced recovery time. This study mainly reviewed the most widely used and well-known robotic thyroidectomy approaches: the transaxillary approach, the bilateral axillo–breast approach, and the transoral approach. This review examines the current status and future potential of robotic surgery in thyroid cancer treatment, comparing its efficacy, safety, and outcomes with those of conventional open cervicotomy. Challenges such as a longer operative time and higher costs exist. Future directions include technological advancements, tele-surgery, single-port surgery, and the integration of artificial intelligence. Robotic surgery holds promise in optimizing patient outcomes in thyroid cancer treatment.
Lack of Clinically Significant Relationships of Age or Body Mass Index with Merkel Cell Carcinoma Immunotherapy Outcomes
Authors: Alam Rian , Fan Xinyi , Hippe Daniel S. , Tachiki Lisa M. , Gong Emily , Huynh Emily , Nghiem Paul , Park Song Youn
Published: July 2024

Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer with a high risk of metastasis. The development of anti-PD-1/PD-L1 immunotherapy has improved outcomes for advanced MCC, yet about 50% of such patients do not achieve durable responses. This study analyzed the effects of age and body mass index (BMI) on immunotherapy response in 183 advanced MCC patients from a single-center longitudinal database. Using Fine–Gray or Cox regression models, treatment response, progression-free survival (PFS), MCC-specific survival, and overall survival (OS) were evaluated. Age showed a significant non-linear relationship with treatment response (p = 0.04), with patients much older or younger than 70 years less likely to respond. However, age was not significantly associated with PFS (p = 0.21), MCC-specific survival (p = 0.72), or OS (p = 0.36). Similarly, BMI was not significantly correlated with treatment response (p = 0.41), PFS (p = 0.52), MCC-specific survival (p = 0.78), or OS (p = 0.71). Unlike previous studies suggesting that obesity and advanced age improve outcomes in other cancers, these associations were not observed in MCC. These findings suggest that age and BMI should not influence eligibility for immunotherapy in MCC patients, emphasizing the importance of unbiased patient selection for this treatment.
Enhancing Cervical Cancer Screening with 7-Type HPV mRNA E6/E7 Testing on Self-Collected Samples: Multicentric Insights from Mexico
Authors: Flores Carlos Eduardo Aranda , Falang Bente Marie , Gómez-Laguna Laura , Gutiérrez Guillermo Gómez , León Jorge Miguel Ortiz , Uribe Miguel , Cruz Omar , Sørbye Sveinung Wergeland
Published: July 2024

Cervical cancer remains a significant public health issue, particularly in regions with low screening uptake. This study evaluates the effectiveness of self-sampling and the 7-type HPV mRNA E6/E7 test in improving cervical cancer screening outcomes among a referral population in Mexico. A cohort of 418 Mexican women aged 25 to 65, referred for colposcopy and biopsy due to abnormal cytology results (ASC-US+), participated in this study. Self-samples were analyzed using both the 14-type HPV DNA test and the 7-type HPV mRNA E6/E7 test. The study assessed the sensitivity, specificity, positive predictive value (PPV), and the necessity of colposcopies to detect CIN3+ lesions. Participant acceptability of self-sampling was also evaluated through a questionnaire. The 7-type HPV mRNA E6/E7 test demonstrated equivalent sensitivity but significantly higher specificity (77.0%) and PPV for CIN3+ detection compared to the 14-type HPV DNA test (specificity: 45.8%, p < 0.001). The use of the HPV mRNA test as a triage tool reduced the number of colposcopies needed per CIN3+ case detected from 16.6 to 7.6 (p < 0.001). Self-sampling was highly accepted among participants, with the majority reporting confidence in performing the procedure, minimal discomfort, and willingness to undertake self-sampling at home. Self-sampling combined with the 7-type HPV mRNA E6/E7 testing offers a promising strategy to enhance cervical cancer screening by improving accessibility and ensuring precise diagnostics. Implementing these app roaches could lead to a significant reduction in cervical cancer morbidity and mortality, especially in underserved populations. Future research should focus on the long-term impact of integrating these methods into national screening programs and explore the cost-effectiveness of widespread implementation.
Enhancing Immunotherapy Response Prediction in Metastatic Lung Adenocarcinoma: Leveraging Shallow and Deep Learning with CT-Based Radiomics across Single and Multiple Tumor Sites
Authors: Masson-Grehaigne Cécile , Lafon Mathilde , Palussière Jean , Leroy Laura , Bonhomme Benjamin , Jambon Eva , Italiano Antoine , Cousin Sophie , Crombé Amandine
Published: July 2024

This study aimed to evaluate the potential of pre-treatment CT-based radiomics features (RFs) derived from single and multiple tumor sites, and state-of-the-art machine-learning survival algorithms, in predicting progression-free survival (PFS) for patients with metastatic lung adenocarcinoma (MLUAD) receiving first-line treatment including immune checkpoint inhibitors (CPIs). To do so, all adults with newly diagnosed MLUAD, pre-treatment contrast-enhanced CT scan, and performance status ≤ 2 who were treated at our cancer center with first-line CPI between November 2016 and November 2022 were included. RFs were extracted from all measurable lesions with a volume ≥ 1 cm3 on the CT scan. To capture intra- and inter-tumor heterogeneity, RFs from the largest tumor of each patient, as well as lowest, highest, and average RF values over all lesions per patient were collected. Intra-patient inter-tumor heterogeneity metrics were calculated to measure the similarity between each patient lesions. After filtering predictors with univariable Cox p < 0.100 and analyzing their correlations, five survival machine-learning algorithms (stepwise Cox regression [SCR], LASSO Cox regression, random survival forests, gradient boosted machine [GBM], and deep learning [Deepsurv]) were trained in 100-times repeated 5-fold cross-validation (rCV) to predict PFS on three inputs: (i) clinicopathological variables, (ii) all radiomics-based and clinicopathological (full input), and (iii) uncorrelated radiomics-based and clinicopathological variables (uncorrelated input). The Models’ performances were evaluated using the concordance index (c-index). Overall, 140 patients were included (median age: 62.5 years, 36.4% women). In rCV, the highest c-index was reached with Deepsurv (c-index = 0.631, 95%CI = 0.625–0.647), followed by GBM (c-index = 0.603, 95%CI = 0.557–0.646), significantly outperforming standard SCR whatever its input (c-index range: 0.560–0.570, all p < 0.0001). Thus, single- and multi-site pre-treatment radiomics data provide valuable prognostic information for predicting PFS in MLUAD patients undergoing first-line CPI treatment when analyzed with advanced machine-learning survival algorithms.
La-Modified SBA-15 Prepared by Direct Synthesis: Importance of Determining Actual Composition
Authors: Morales Hernández Gloribel , Escobar José , Pacheco Sosa José G. , Guzmán Cruz Mario A. , Torres Torres José G. , del Ángel Vicente Paz , Barrera María C. , Santolalla Vargas Carlos E. , Pérez Vidal Hermicenda
Published: July 2024

Lanthanum (La) integration (at various nominal contents) in SBA-15 prepared under acidic medium was intended from corresponding direct nitrate addition during mesoporous silica formation. Materials were impregnated with Pt (1.5 wt%) and studied through several textural (N2 physisorption), structural (XRD, TG-DTG), and surface (FTIR, STEM-HAADF, SEM-EDS, NH3, and CO2 TPD) instrumental techniques. Pt-impregnated solids were tested in phenol hydrodeoxygenation (HDO, T = 250 °C, 3.2 MPa, batch reactor, n-decane as solvent). Catalytic activity (in pseudo-first-order kinetic constant, kHDO basis) was not directly related to Pt dispersion, which was not determined by nominal rare earth content. Determining the actual composition of modified SBA-15 materials is crucial in reaching sound conclusions regarding their physicochemical properties, especially when La modifier is directly added during mesoporous matrix formation, where efficient interaction among constituents could be difficult to get. Otherwise, results from some characterization techniques (N2 physisorption and FTIR, for instance) could be misleading and even contradictory. Indeed, extant modifier precursors, when under SBA-15 synthesis conditions, could affect the properties of prepared materials even though they were absent in obtained formulations. Performing simple compositional analysis could eliminate uncertainties regarding the role of various modifiers on characteristics of final catalysts. However, several groups have failed in doing so.
Global Transcriptomic and Characteristics Comparisons between Mouse Fetal Liver and Bone Marrow Definitive Erythropoiesis
Authors: Gao Chengjie , Zhang Huan , Wang Yaomei , Wang Shihui , Guo Xinhua , Han Yongshuai , Zhao Huizhi , An Xiuli
Published: July 2024

Erythropoiesis occurs first in the yolk sac as a transit “primitive” form, then is gradually replaced by the “definitive” form in the fetal liver (FL) during fetal development and in the bone marrow (BM) postnatally. While it is well known that differences exist between primitive and definitive erythropoiesis, the similarities and differences between FL and BM definitive erythropoiesis have not been studied. Here we performed comprehensive comparisons of erythroid progenitors and precursors at all maturational stages sorted from E16.5 FL and adult BM. We found that FL cells at all maturational stages were larger than their BM counterparts. We further found that FL BFU-E cells divided at a faster rate and underwent more cell divisions than BM BFU-E. Transcriptome comparison revealed that genes with increased expression in FL BFU-Es were enriched in cell division. Interestingly, the expression levels of glucocorticoid receptor Nr3c1, Myc and Myc downstream target Ccna2 were significantly higher in FL BFU-Es, indicating the role of the Nr3c1-Myc-Ccna2 axis in the enhanced proliferation/cell division of FL BFU-E cells. At the CFU-E stage, the expression of genes associated with hemoglobin biosynthesis were much higher in FL CFU-Es, indicating more hemoglobin production. During terminal erythropoiesis, overall temporal patterns in gene expression were conserved between the FL and BM. While biological processes related to translation, the tricarboxylic acid cycle and hypoxia response were upregulated in FL erythroblasts, those related to antiviral signal pathway were upregulated in BM erythroblasts. Our findings uncovered previously unrecognized differences between FL and BM definitive erythropoiesis and provide novel insights into erythropoiesis.
Uncovering the Interaction between TRAF1 and MAVS in the RIG-I Pathway to Enhance the Upregulation of IRF1/ISG15 during Classical Swine Fever Virus Infection
Authors: Zhang Liyuan , Tang Rongze , Liang Dongli , Wang Wenfeng , Min Kaijun , Luo Tingrong , Li Xiaoning
Published: July 2024

Classical swine fever (CSF) is caused by the classical swine fever virus (CSFV), which poses a threat to swine production. The activation of host innate immunity through linker proteins such as tumor necrosis factor receptor (TNF-R)-associated factor (TRAF) is crucial for the induction of the NF-κB pathway. Recent research has revealed the involvement of mitochondrial antiviral-signaling protein (MAVS) in the interaction with TRAF2, 3, 5, and 6 to activate both the NF-κB and IRF3 pathways. This study revealed that CSFV infection led to the upregulation of TRAF1 mRNA and protein levels; moreover, TRAF1 overexpression inhibited CSFV replication, while TRAF1 knockdown promoted replication, highlighting its importance in the host response to CSFV infection. Additionally, the expression of RIG-I, MAVS, TRAF1, IRF1, and ISG15 were detected in PK-15 cells infected with CSFV, revealing that TRAF1 plays a role in regulating IRF1 and ISG15 within the RIG-I pathway. Furthermore, Co-IP, GST pull-down, and IFA analyses demonstrated that TRAF1 interacted with MAVS and co-localized in the cytoplasm during CSFV infection. Ultimately, TRAF1 acted as a novel member of the TRAF family, bound to MAVS as a linker molecule, and functioned as a mediator downstream of MAVS in the RIG-I/MAVS pathway against CSFV replication.
Facile Lignin Extraction and Application as Natural UV Blockers in Cosmetic Formulations
Authors: Duy Nguyen Van , Tsygankov Pavel Y. , Menshutina Natalia V.
Published: July 2024

Natural compounds are becoming increasingly popular in the fields of pharmaceuticals and cosmetics. One such compound is lignin, a plant-derived aromatic polymer that serves as a natural anti-ultraviolet agent. Conventional methods for extracting lignin from plant materials typically involve performing procedures in harsh environments, such as dissolving it in highly alkaline solutions or subjecting it to treatment in acidic conditions. In this study, lignin was extracted from coconut husk under milder conditions, using neutral solvents and ultrasonic treatment, which allowed us to obtain lignin with significantly improved properties. The developed method facilitated the creation of light-colored lignin, which was employed as a natural ingredient in sunblock cream. Furthermore, for the sake of comparison, lignin was extracted under more rigorous conditions using the traditional method. The research findings confirm that the light-colored lignin sample exhibits a higher level of UV absorption. Furthermore, light-colored lignin demonstrates a synergistic effect when combined with commercial moisturizing creams and sunscreens, leading to a significant enhancement in their SPF performance against both UVA and direct sunlight exposure. This study highlights the potential value of incorporating lignin as a valuable natural ingredient in sunblock and cosmetic products.
Unveiling Hidden Insights in Gas Chromatography Data Analysis with Generative Adversarial Networks
Authors: Yoon Namkyung , Jung Wooyong , Kim Hwangnam
Published: July 2024

The gas chromatography analysis method for chemical substances enables accurate analysis to precisely distinguish the components of a mixture. This paper presents a technique for augmenting time-series data of chemicals measured by gas chromatography instruments with artificial intelligence techniques such as generative adversarial networks (GAN). We propose a novel GAN algorithm called GCGAN for gas chromatography data, a unified model of autoencoder (AE) and GAN for effective time-series data learning with an attention mechanism. The proposed GCGAN utilizes AE to learn a limited number of data more effectively. We also build a layer of high-performance generative adversarial neural networks based on the analysis of the features of data measured by gas chromatography instruments. Then, based on the proposed learning, we synthesize the features embedded in the gas chromatography data into a feature distribution that extracts the temporal variability. GCGAN synthesizes the features embedded in the gas chromatography data into a feature distribution that extracts the temporal variability of the data over time. We have fully implemented the proposed GCGAN and experimentally verified that the data augmented by the GCGAN have the characteristic properties of the original gas chromatography data. The augmented data demonstrate high quality with the Pearson correlation coefficient, Spearman correlation coefficient, and cosine similarity all exceeding 0.9, significantly enhancing the performance of AI classification models by 40%. This research can be effectively applied to various small dataset domains other than gas chromatography data, where data samples are limited and difficult to obtain.
Three-Dimensional Anthropometric Analysis of the Effect of Lip Reconstructive Surgery on Children with Cleft Lip and Palate at Three Different Times
Authors: Rando Gabriela Mendonça , Ambrosio Eloá Cristina Passucci , Jorge Paula Karine , Sforza Chiarella , Menezes Márcio , de Almeida Ana Lúcia Pompeia Fraga , Soares Simone , Dalben Gisele Silva , Tonello Cristiano , Carrara Cleide Felício Carvalho , Machado Maria Aparecida Andrade Moreira , Oliveira Thais Marchini
Published: July 2024

Objectives: This investigation aimed to assess the optimal timing for lip repair in children with cleft lip and palate via 3D anthropometric analysis to evaluate their maxillofacial structures. Methods: The sample comprised 252 digitized dental models, divided into groups according to the following timing of lip repair: G1 (n = 50): 3 months; G2 (n = 50): 5 and 6 months; G3 (n = 26): 8 and 10 months. Models were evaluated at two-time points: T1: before lip repair; T2: at 5 years of age. Linear measurements, area, and Atack index were analyzed. Results: At T1, the intergroup analysis revealed that G1 had statistically significant lower means of I-C′, I-C, C-C′, and the sum of the segment areas compared to G2 (p = 0.0140, p = 0.0082, p = 0.0004, p < 0.0001, respectively). In addition, there was a statistically significant difference when comparing the cleft area between G2 and G3 (p = 0.0346). At T2, the intergroup analysis revealed that G1 presented a statistically significant mean I-C′ compared to G3 (p = 0.0461). In the I-CC’ length analysis, G1 and G3 showed higher means when compared to G2 (p = 0.0039). The I-T′ measurement was statistically higher in G1 than in G2 (p = 0.0251). In the intergroup growth rate analysis, G1 and G2 showed statistically significant differences in the I-C′ measurement compared to G3 (p = 0.0003). In the analysis of the Atack index, there was a statistically significant difference between G1 and the other sample sets (p < 0.0001). Conclusion: Children who underwent surgery later showed better results in terms of the growth and development of the dental arches.
A Semester of Hatha Yoga Has Comparable Effects to Physical Education for Children in Terms of Physical Activity and Psychosocial Indicators
Authors: Nigg Claudio R.
Published: July 2024

Background/Objectives: As research on yoga with school children is growing, this study investigated the effects a semester of yoga versus physical education on children’s physical activity and psychosocial indicators. Methods: Physical activity and psychosocial variables were assessed at Time 1 (January/February) and Time 2 (April/May) through self-report surveys (n = 157; 63% female, age: m = 10.38, sd = 0.81 years) for the intervention (Hatha yoga classes) and control groups (standard physical education classes). The intervention group was also observed regarding pedometer and System for Observing Fitness Instruction Time data. Results: The results revealed a trend towards an increase for the control and a decrease for the intervention group in stress levels. The pedometer results showed a trend towards an increasing number of steps/min. Skill practice had the greatest increase with time dedicated to that activity. The observation results revealed a significant difference in activity from Time 1 to Time 2. The major differences were decreases in sitting and being very active, and an increase in walking. Conclusions: Given the observation data and our study design limitations, the study results showed similarities between Hatha yoga and physical education in terms of increasing physical activity levels and psychosocial variables; thus, yoga may be a viable alternative to children’s physical education in this regard.
The Accuracy of Digital Impressions versus Conventional Impressions in Neonates with Cleft Lip and/or Palate: A Laboratory-Based Study
Authors: Unnikrishnan Jyotsna , Bakr Mahmoud , Love Robert , Idris Ghassan
Published: July 2024

Cleft lip and palate (CL/P) are a common congenital craniofacial anomaly requiring precise impressions for effective treatment. Conventional impressions (CIs) pose challenges in neonates with CL/P due to their delicate oral anatomy. While digital impressions (DIs) are increasingly recognised for their potential benefits over conventional methods in dentistry, their accuracy and application in neonates with cleft lip and palate (CL/P) remain underexplored. This study aimed to assess the accuracy of DIs compared to CIs in neonates with CL/P, using alginate and putty materials as references. A laboratory-based case–control study was conducted, utilising soft acrylic models resembling neonatal mouths with CL/P. Alginate and putty impressions were obtained conventionally, while digital impressions were captured using an intraoral scanner (IOS). A total of 42 models were analysed, divided evenly into three groups, with each group comprising 14 models. Superimposition and surface discrepancy analyses were performed to evaluate impression accuracy. The results revealed no statistically significant differences between the digital and conventional impressions in their intra-arch measurements and surface discrepancies. The mean measurement values did not significantly differ among groups, with p values indicating no significant variations (p > 0.05), confirmed by an analysis of variance. High intra-examiner reliability with Intra Class Coefficient (ICC) values close to 1 indicated consistent measurements over time. The current study demonstrates that DIs are equally accurate as conventional alginate and putty impressions in neonates with cleft lip and palate, offering a viable and less invasive alternative for clinical practise. This advancement holds promise for improving the treatment planning process and enhancing patient comfort, particularly in vulnerable neonatal populations. Further research is warranted to explore the clinical implications and factors affecting DI accuracy in this population.
The Influence of Children’s Discrimination Experiences on Parents’ Mental and Self-Rated Health: Results from the National Health Interview Survey
Authors: Jelsma Elizabeth , Kebbeh Nema , Ahmad Mahnoor
Published: July 2024

Background: This study assessed the associations between children’s experiences of discrimination based on race/ethnicity and sexual orientation/gender identity and their parents’ anxiety, depressive symptoms, and self-rated health. Methods: Our sample included 3910 parents with at least one child between 12 and 17 years of age. Data were pooled from the 2021 and 2022 waves of the National Health Interview Survey. Path analysis with maximum likelihood (ML) estimation and bootstrapping were used to examine the indirect pathways from child-experienced discrimination to parental self-rated health through parental anxiety and depressive symptoms. Results: Child-experienced discrimination based on race/ethnicity was associated with worse parental self-rated health via pathways through higher parental anxiety (p = 0.003) and depressive symptoms (p < 0.001). Child-experienced discrimination based on sexual orientation/gender identity was also associated with worse parental self-rated health via pathways through higher parental anxiety (p = 0.002) and depressive symptoms (p = 0.001). Conclusions: The results show a strong association between children’s experiences of discrimination and parental self-rated health through pathways of poor parental mental health. Findings demonstrate the need to reduce discrimination directed at children and to facilitate mental health support for parents of children experiencing discrimination to improve family well-being.
Van Wyk–Grumbach Syndrome and Gonadectomy
Authors: Arellano-Llamas Abril Adriana , Hernandez-Caballero Alvaro , Delgado-Mendoza Efren , Catalan-Ruiz Manuel Alejandro
Published: July 2024

Van Wyk–Grumbach syndrome (VWGS) refers to the development of peripheral precocious puberty, long-standing hypothyroidism, and gonadal masses; when not diagnosed, an unnecessary gonadectomy may be performed. Herein, we present a case of a 10-year-old girl with Down’s syndrome, short stature, and vitiligo who presented to our hospital with vaginal bleeding and a palpable pelvic mass. Upon ultrasound and topographical examination, bilateral ovarian masses with negative tumor markers were detected. After bilateral gonadectomy, endocrine studies revealed profound hypothyroidism and peripheral puberty that led to the VWGS syndrome diagnosis (TSH 367.3 mUI/mL, isolated menstruation, indetectable LH, and elevated estradiol). Levothyroxine treatment improved obesity and short stature, and sexual hormone replacement began at 13 years of age. The literature on Van Wyk–Grumbach syndrome shows that it presents most often in women, and classic hypothyroidism symptoms always precede the diagnosis. Approximately 11% of patients have Down’s syndrome, sometimes tumor markers are elevated, and some develop severe symptoms (myopathy, short stature, mental delay, ascites, pericardial effusion, Cullen’s sign, pituitary hyperplasia, and severe anemia) that respond to levothyroxine treatment. Conclusions: Children with peripheral precocious puberty and gonadal masses must be studied for hypothyroidism before any radical decision is made.
Taking Stock of Recent Progress in Livelihood Vulnerability Assessments to Climate Change in the Developing World
Authors: Zainab Atoofa , Shah Kalim U.
Published: July 2024

Over the past few decades, the use of vulnerability assessments has grown substantially to support rural communities in developing countries. These studies aim to help these communities achieve their livelihood goals, such as sustainable resource use and adaptation to global changes, by evaluating their susceptibility to climate change impacts. This systematic review critically examines the extensive body of literature on Livelihood Vulnerability Index (LVI) assessments related to climate change impacts in developing countries. By synthesizing findings from various studies, this review highlights patterns and methodologies used to understand the effects of climate change on vulnerable populations. Key focus areas include geographical distribution, methodological approaches, and the frameworks utilized in vulnerability assessments. The review identifies prominent frameworks, such as the LVI and LVI-IPCC, which integrate indicators of sensitivity, exposure, and adaptive capacity to evaluate climate risks. Findings reveal a concentration of studies in Asia and Africa, with a strong emphasis on agricultural and coastal ecosystems. Methodologically, there is a notable reliance on stratified random sampling to accurately capture community and household-level vulnerabilities. A detailed comparative analysis of the LVI, LVI-IPCC, and Sustainable Livelihood Framework (SLF) is also presented, highlighting their characteristics, benefits, and limitations. The review underscores the need for methodological refinements to better address temporal and regional variations in vulnerability. It concludes with recommendations for future research, integrating broader climate scenarios, exploring sectoral interdependencies, and adopting dynamic approaches to enhance the accuracy and applicability of vulnerability assessments.
Lattice-Based Post-Quantum Public Key Encryption Scheme Using ElGamal’s Principles
Authors: Amirkhanova Dana Sairangazhykyzy , Iavich Maksim , Mamyrbayev Orken
Published: July 2024

Modern technologies like quantum and cloud computing have reshaped computing, offering immense power and scalability. While beneficial, they also challenge the security of traditional cryptographic systems. Quantum computing threatens RSA and ECC with algorithms like Shor’s algorithm, which can accelerate computations exponentially. This risks exposing these systems to attacks, necessitating quantum-resistant cryptography. Cloud computing poses data security concerns, requiring robust cryptographic mechanisms and access controls. Lattice-based cryptography, leveraging problems like the Short Integer Solution (SIS), emerges as a solution. This paper presents a novel quantum-resistant public key encryption scheme based on ElGamal and SIS, ensuring security against quantum and classical threats in modern cryptographic environments.
Szulczewski’s Fungarium—A Collection of Fungi on Their Host Plants in the POZ Herbarium, Poznań, Poland
Authors: Zenkteler Elżbieta , Celka Zbigniew , Szkudlarz Piotr , Nita Joanna
Published: July 2024

The fungarium was collected by Jerzy Wojciech Szulczewski in the Wielkopolska region in Western Poland in 1909–1911, 1928, and 1960–1966 (nine volumes). It includes dried plant specimens with disease symptoms of fungal origin and is currently located in the POZ Herbarium (Adam Mickiewicz University, Poznań, Poland). It is one of the oldest and richest Polish collections of this category although some parts were destroyed or lost after the Second World War. Many of the sheets have original annotations by the author and hand-written labels with both plant and fungus names. A checklist of all species is presented in the appendix. The whole collection was digitized in 2023 and is available on the website of the AMUNATCOLL project.
Combining Molecular and Traditional Prognostic Factors: A Holistic Approach to Breast Cancer Prognostication
Authors: Moraru Liviu , Mitranovici Melinda Ildiko , Moraru Raluca , Voidazan Septimiu , Munteanu Mihai , Georgescu Rares , Costachescu Dan , Turdean Sabin Gligore
Published: July 2024

Breast cancer is a heterogeneous disease with various morphologies and molecular features, and it is the second leading cause of cancer death in women in developed countries. According to the literature, we currently lack both prognostic biomarkers and therapeutic targets. The most important prognostic factors are disease stage and Nottingham grade. We conducted a retrospective analysis involving 273 patients with BC who underwent neoadjuvant therapy before proceeding to curative surgical treatment between 1 January 2014 and 31 December 2023. Pathological procedures were conducted at the Department of Pathology, Emergency County Hospital of Targu Mureș, Romania. A statistical analysis was performed. Regarding the relationship between Nottingham grade and Ki67, grade I was associated with a Ki67 of less than 14. The relationship between tumor grade and luminal was similar (p = 0.0001): Grade I was associated with luminal A. Regarding TNM stage, it was statistically significantly correlated with TILs (p = 0.01) and RCB (p = 0.0001). Stages III and IV were associated with a high RCB and poor prognosis. Regarding the prognostic value, Nottingham grade 3 and TNM stages III and IV were correlated with low overall survival and disease-free survival, with poor prognosis, and, among the molecular variables, RCB played the most important prognostic role.
Longitudinal Risk Analysis of Second Primary Cancer after Curative Treatment in Patients with Rectal Cancer
Authors: Hsia Jiun-Yi , Chang Chi-Chang , Liu Chung-Feng , Chou Chia-Lin , Yang Ching-Chieh
Published: July 2024

Predicting and improving the response of rectal cancer to second primary cancers (SPCs) remains an active and challenging field of clinical research. Identifying predictive risk factors for SPCs will help guide more personalized treatment strategies. In this study, we propose that experience data be used as evidence to support patient-oriented decision-making. The proposed model consists of two main components: a pipeline for extraction and classification and a clinical risk assessment. The study includes 4402 patient datasets, including 395 SPC patients, collected from three cancer registry databases at three medical centers; based on literature reviews and discussion with clinical experts, 10 predictive variables were considered risk factors for SPCs. The proposed extraction and classification pipelines that classified patients according to importance were age at diagnosis, chemotherapy, smoking behavior, combined stage group, and sex, as has been proven in previous studies. The C5 method had the highest predicted AUC (84.88%). In addition, the proposed model was associated with a classification pipeline that showed an acceptable testing accuracy of 80.85%, a recall of 79.97%, a specificity of 88.12%, a precision of 85.79%, and an F1 score of 79.88%. Our results indicate that chemotherapy is the most important prognostic risk factor for SPCs in rectal cancer survivors. Furthermore, our decision tree for clinical risk assessment illuminates the possibility of assessing the effectiveness of a combination of these risk factors. This proposed model may provide an essential evaluation and longitudinal change for personalized treatment of rectal cancer survivors in the future.
Feature-Enhanced Attention and Dual-GELAN Net (FEADG-Net) for UAV Infrared Small Object Detection in Traffic Surveillance
Authors: Aibibu Tuerniyazi , Lan Jinhui , Zeng Yiliang , Lu Weijian , Gu Naiwei
Published: July 2024

With the rapid development of UAV and infrared imaging technology, the cost of UAV infrared imaging technology has decreased steadily. Small target detection technology in aerial infrared images has great potential for applications in many fields, especially in the field of traffic surveillance. Because of the low contrast and relatively limited feature information in infrared images compared to visible images, the difficulty involved in small road target detection in infrared aerial images has increased. To solve this problem, this study proposes a feature-enhanced attention and dual-GELAN net (FEADG-net) model. In this network model, the reliability and effectiveness of small target feature extraction is enhanced by a backbone network combined with low-frequency enhancement and a swin transformer. The multi-scale features of the target are fused using a dual-GELAN neck structure, and a detection head with the parameters of the auto-adjusted InnerIoU is constructed to improve the detection accuracy for small infrared targets. The viability of the method was proved using the HIT-UAV dataset and IRTS-AG dataset. According to a comparative experiment, the mAP50 of FEADG-net reached more than 90 percent, which was higher than that of any previous method and it met the real-time requirements. Finally, an ablation experiment was conducted to demonstrate that all three of the modules proposed in the method contributed to the improvement in the detection accuracy. This study not only designs a new algorithm for small road object detection in infrared remote sensing images from UAVs but also provides new ideas for small target detection in remote sensing images for other fields.
Attitude Control of a Mass-Actuated Fixed-Wing UAV Based on Adaptive Global Fast Terminal Sliding Mode Control
Authors: Yuan Laohu , Zheng Jinxin , Wang Xiaoguang , Ma Le
Published: July 2024

Compared with traditional control methods, moving mass control (MMC) enhances the aerodynamic efficiency and stealth performance of fixed-wing unmanned aerial vehicles (FWUAVs), thereby facilitating their broader application in military and civilian fields. Nevertheless, this approach increases system complexity, nonlinearity, and coupling characteristics. To address these challenges, a novel attitude controller is proposed using adaptive global fast terminal sliding mode (GFTSM) control. Firstly, a dynamic model is established based on aerodynamics, flight dynamics, and moving mass dynamics. Secondly, to improve transient and steady-state responses, prescribed performance control (PPC) is adopted, which enhances the controller’s adaptability for mass-actuated aircraft. Thirdly, a fixed-time extended state observer (FTESO) is utilized to solve the inertial coupling issue caused by mass block movement. Additionally, the performance of the entire control system is rigorously proven through the Lyapunov function. Finally, numerical simulations of the proposed controller are compared with those of PID and linear ADRC in three different conditions: ideal conditions, fixed aerodynamic parameters, and nonlinear aerodynamic parameter changes. The results indicate that the controller effectively compensates for the system’s uncertainty and unknown disturbances, ensuring rapid and accurate tracking of the desired commands.
The Motion Estimation of Unmanned Aerial Vehicle Axial Velocity Using Blurred Images
Authors: Mao Yedong , Zhan Quanxi , Yang Linchuan , Zhang Chunhui , Xu Ge , Shen Runjie
Published: July 2024

This study proposes a novel method for estimating the axial velocity of unmanned aerial vehicles (UAVs) using motion blur images captured in environments where GPS signals are unavailable and lighting conditions are poor, such as underground tunnels and corridors. By correlating the length of motion blur observed in images with the UAV’s axial speed, the method addresses the limitations of traditional techniques in these challenging scenarios. We enhanced the accuracy by synthesizing motion blur images from neighboring frames, which is particularly effective at low speeds where single-frame blur is minimal. Six flight experiments conducted in the corridor of a hydropower station demonstrated the effectiveness of our approach, achieving a mean velocity error of 0.065 m/s compared to ultra-wideband (UWB) measurements and a root-mean-squared error within 0.3 m/s. The results highlight the stability and precision of the proposed velocity estimation algorithm in confined and low-light environments.
Racial Micro-Affirmations: Latinx Close Friendships and Ethnic Identity Development
Authors: Mireles-Rios Rebeca , Garcia Nichole Margarita , Castro Isaac M. J. , Hernandez Monica , Cerda Rodolfo
Published: July 2024

Through analysis of semi-structured interviews of 30 Latinx college students, we examined how Latinx students experience belonging, acceptance, and affirmations at a Hispanic-Serving Research Institution (HSRI) in California. Drawing from the theoretical perspectives of racial micro-affirmations, we uncovered two major themes: the importance of close friendships and the impact that ethnic studies courses have on ethnoracial identity development. This study contributes to the ongoing discussion of the on-campus experiences of underrepresented students as well as how to best serve and affirm them at HSRIs.
Beam Prediction for mmWave V2I Communication Using ML-Based Multiclass Classification Algorithms
Authors: Biliaminu Karamot Kehinde , Busari Sherif Adeshina , Rodriguez Jonathan , Gil-Castiñeira Felipe
Published: July 2024

Beam management is a key functionality in establishing and maintaining reliable communication in cellular and vehicular networks, and it becomes more critical at millimeter-wave (mmWave) frequencies and for high-mobility scenarios. Traditional approaches consume wireless resources and incur high beam training overheads in finding the best beam pairings, thus necessitating alternative approaches such as position-aided, vision-aided, or, more generally, sensing-aided beam prediction approaches. Current systems are also leveraging artificial intelligence/machine learning (ML) to optimize the beam management procedures; however, the majority of the proposed ML frameworks have been applied to synthetic datasets, leading to overestimated performances. In this work, in the context of vehicle-to-infrastructure (V2I) communication and using the real-world DeepSense6G experimental datasets, we investigate the performance of four ML algorithms on beam prediction accuracy for mmWave V2I scenarios. We compare the performance of K-nearest neighbour (KNN), support vector machine (SVM), decision tree (DT), and naïve Bayes (NB) algorithms on position-aided beam prediction accuracy and related metrics such as precision, recall, specificity, and F1-score. The impacts of different beam codebook sizes and dataset split ratios on five different scenarios’ datasets were investigated, independently and collectively. Confusion matrices and area under the receiver operating characteristic curves were also employed to visualize the (mis)classification statistics of the considered ML algorithms. The results show that SVM outperforms the other three algorithms, for the most part, on the scenario-per-scenario cases. However, for the combined scenario with larger data samples, DT outperforms the other three algorithms for both the different codebook sizes and data split ratios. The results also show comparable performance for the different data split ratios considered for the different algorithms. However, with respect to the codebook sizes, the results show that the higher the codebook size, the lower the beam prediction accuracy. With the best accuracy results around 70% for the combined scenario in this study, multi-modal sensing-aided approaches can be explored to increase the beam prediction performance, although at the expense of higher system complexity when compared to the position-aided approach considered in this study.
Road to Efficiency: V2V Enabled Intelligent Transportation System
Authors: Naeem Muhammad Ali , Chaudhary Sushank , Meng Yahui
Published: July 2024

Intelligent Transportation Systems (ITSs) have grown rapidly to accommodate the increasing need for safer, more efficient, and environmentally friendly transportation options. These systems cover a wide range of applications, from transportation control and management to self-driving vehicles to improve mobility while tackling urbanization concerns. This research looks closely at the important infrastructure parts of vehicle-to-vehicle (V2V) communication systems. It focuses on the different types of communication architectures that are out there, including decentralized mesh networks, cloud-integrated hubs, edge computing-based architectures, blockchain-enabled networks, hybrid cellular networks, ad-hoc networks, and AI-driven dynamic networks. This review aims to critically analyze and compare the key components of these architectures with their contributions and limitations. Finally, it outlines open research challenges and future technological advancements, encouraging the development of robust and interconnected V2V communication systems in ITSs.