bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of a model‐free controller based on predictive functional control
Authors: Ashida Yoichiro , Katayama Masaru 
Published: February 2024

AbstractIntelligent‐PID (i‐PID) control proposed by Fliess is a simple control algorithm. The controller is designed based on ultra‐local model, and consisted of PID type controller and derivatives of reference signal and controlled variables. Authors have considered discrete i‐PID controller and its properties, and one of the result was that PD controller was sufficient in discrete time domain. In discrete i‐PID controller, PD type controller is still required to ensure convergence of controlled error to zero, and PD type parameters affects convergence property, fast‐response property and stability. In this paper, predictive functional control (PFC) based on an ultra‐local model is proposed. By introducing of PFC, controlled variable converge to reference value without PD type controller. User‐specified parameters of the proposed controller is smaller than the conventional i‐PID controller. Characteristics of the proposed controller are compared with discrete i‐PID controller by numerical examples.
Exercise combined with Acceptance and Commitment Therapy for chronic pain: One‐year follow‐up from a randomized controlled trial
Authors: Casey M. B. , Takemasa S. , O'Reilly T. , Leamy M. , Mc Kearney E. , Buckley M. , Smart K. M. , Segurado R. , Lowry D. , Flanagan D. , Gopal H. , Hearty C. , Doody C. 
Published: February 2024

AbstractBackgroundAcceptance and Commitment Therapy (ACT) is a type of Cognitive Behavioural Therapy, which has demonstrated positive outcomes in individuals with chronic pain. The purpose of this study was to compare the effect of an 8‐week programme combining Exercise with Acceptance and Commitment Therapy (ExACT) with a standalone supervised exercise programme at 1‐year follow‐up.MethodsOne hundred and seventy‐five people with chronic pain were randomly assigned to ExACT or supervised exercise only. The primary outcome was pain interference measured with the Brief Pain Inventory‐Interference Scale. Secondary and treatment process outcomes included pain severity, depression, anxiety, pain catastrophizing, pain self‐efficacy, fear avoidance, pain acceptance, committed action, healthcare utilization, patient satisfaction, and global impression of change. Estimates of treatment effects at 1‐year follow‐up were based on intention‐to‐treat analyses, implemented using a linear mixed‐effects model.ResultsEighty‐three participants (47.4%) returned the outcome measures at 1‐year follow‐up. No significant difference was observed between the groups for the primary outcome, pain interference. There was a statistically significant difference between the groups, in favour of ExACT for pain catastrophizing. Within group improvements that were observed within both groups at earlier timepoints were maintained at 1‐year follow‐up for many of the secondary and treatment process outcomes. ExACT group participants reported higher levels of satisfaction with treatment and global perceived change.ConclusionsThe study results showed no significant difference between the two groups for the primary outcome pain interference at 1‐year follow‐up. Future research could investigate factors that may predict and optimize outcomes from these types of intervention for people living with chronic pain.SignificanceFew previous randomized controlled trials investigating ACT for chronic pain have included long‐term follow‐up. This study found that Exercise combined with ACT was not superior to supervised exercise alone for reducing pain interference at 1‐year follow‐up. Further research is necessary to identify key processes of therapeutic change and to explore how interventions may be modified to enhance clinical outcomes for people with chronic pain.
Performance‐based optimum seismic design of self‐centering steel moment frames with SMA‐based connections
Authors: Hassanzadeh Aydin , Moradi Saber , Burton Henry V. 
Published: February 2024

AbstractShape memory alloys (SMAs) have found several applications in earthquake‐resilient structures. However, because of high material costs, their implementation on industry projects is still limited. Developing design approaches that minimize the use of expensive SMAs is critical to facilitating their widespread adoption in real structures. This paper proposes a performance‐based seismic design optimization procedure for self‐centering steel moment‐resisting frames (SC‐MRFs) with SMA‐bolted endplate connections. The topology optimization uses a metaheuristic algorithm to minimize the frame's total cost, including the initial construction and expected repair costs. The design variables are the steel beam and column sections, SMA connection properties, and the topology of the SMA connections. Different constraints are considered, such as the constructability of the chosen steel sections, member strengths, performance‐based design, Park‐Ang damage index, and strong‐column weak‐beam requirements. Furthermore, the seismic safety of optimal designs is assessed by calculating adjusted collapse margin ratios according to FEMA‐P695. An illustrative optimization study using three‐ and nine‐story SC‐MRFs is presented. The optimal SC‐MRFs are then assessed in terms of cost and seismic performance. The results confirm the effectiveness of the proposed optimum design, which minimizes the use of SMAs while ensuring improved seismic performance. The case studies show that the optimal placement of SMA connections can reduce the total cost by up to 71% and 61% for the three‐ and nine‐story SC‐MRFs, respectively, compared to nonoptimal frames. Moreover, the optimal SC‐MRFs exhibit more uniform drift distributions, lower residual story drifts by up to 96%, and increase collapse capacity by up to 102%.
Rooted in perpetuity: Weaving grandfather teachings as an ongoing journey for CRE, IE, and evaluators
Authors: Dodge Francis Carolee , Bowman Nicole R. 
Published: February 2024

AbstractThrough an intergenerational lens, we recognize that trauma and healing are integral parts of the responsibilities and lineage we carry as Indigenous scholars honoring the Seven Generations before us and after us. This chapter frames and illustrates the intertwining of rooted relationships and kinship while broadening the standard norms and concepts of culturally responsive evaluation (CRE) and Indigenous evaluation (IE). By rooting CRE and IE kinship together in the field of evaluation, we complement and contribute to the legacy of Dr. Stafford Hood and the CRE/IE movement using the framework of the Seven Grandfather Teachings: Love, Honesty, Bravery, Respect, Humility, Wisdom, and Truth. Traditional teachings provide conceptual and practical Indigenous perspectives on how we continue to move forward together as good relatives. Academically, we confront western ideologies and systems that reflect and uphold settler‐controlled frameworks, while we seek to empower, celebrate, and advocate for our rights, voices, and visibility. The ongoing push for recognition and acknowledgement of CRE and IE and the integration of their innovations into theory, methodology, policy, and practice presents a transformative process for the evaluation field to embrace.
Hybrid convolutional long short‐term memory models for sales forecasting in retail
Authors: de Castro Moraes Thais , Yuan Xue‐Ming , Chew Ek Peng 
Published: February 2024

AbstractThis study proposes novel sales forecasting approaches that merge deep learning methods in a hybrid model. Long short‐term memory (LSTM) is adopted for modeling the temporal characteristics of the data, whereas the convolutional neural network (CNN) focuses on identifying and extracting relevant exogenous information. We propose stacked (S‐CNN‐LSTM) and parallel (P‐CNN‐LSTM) hybrid architectures to understand complex time series data with varying seasonal patterns and multiple products correlations. The performance drivers of both architectures were empirically tested with a real‐world multivariate retail dataset and outperformed when compared with simple neural network architectures and standard autoregressive methods for short and long‐term forecasting horizons. When compared with traditional predictive approaches, the proposed hybrid models reduce the computational complexity while providing flexibility and robustness.
Intratumoral delivery of a highly active form of XCL1 enhances antitumor CTL responses through recruitment of CXCL9‐expressing conventional type‐1 dendritic cells
Authors: Kamei Momo , Matsuo Kazuhiko , Yoshida Yusuke , Shimada Kaho , Otsuki Mayuko , Fujimoto Nao , Ishibashi Miho , Quan Ying‐Shu , Kamiyama Fumio , Hara Yuta , Takamura Shiki , Nakayama Takashi 
Published: February 2024

AbstractConventional type 1 dendritic cells (cDC1s) play a crucial role in antitumor immunity through the induction and activation of tumor‐specific CD8+ cytotoxic T cells (CTLs). The chemokine XCL1 is a major chemotactic factor for cDC1s and its receptor XCR1 is selectively expressed on cDC1s. Here, we investigated the effect of intratumoral delivery of a highly active form of murine XCL1 (mXCL1‐V21C/A59C) on cDC1‐mediated antitumor immunity using a hydrophilic gel patch. The hydrophilic gel patch containing mXCL1‐V21C/A59C increased cDC1 accumulation in the tumor masses and promoted their migration to the regional lymph nodes, resulting in enhanced induction of tumor‐specific CTLs. Tumor‐infiltrating cDC1s not only expressed XCR1 but also produced CXCL9, a ligand for CXCR3 which is highly expressed on CTLs and NK cells. Consequently, CTLs and NK cells were increased in the tumor masses of mice treated with mXCL1‐V21C/A59C, while immunosuppressive cells such as monocyte‐derived suppressive cells and regulatory T cells were decreased. We also confirmed that anti‐CXCL9 treatment decreased the tumor infiltration of CTLs. The intratumoral delivery of mXCL1‐V21C/A59C significantly decreased tumor growth and prolonged survival in E.G7‐OVA and B16‐F10 tumor‐bearing mice. Furthermore, the antitumor effect of mXCL1‐V21CA59C was enhanced in combination with anti‐programmed cell death protein 1 treatment. Finally, using The Cancer Genome Atlas database, we found that XCL1 expression was positively correlated with tumor‐infiltrating cDC1s and a better prognosis in melanoma patients. Collectively, our findings provide a novel therapeutic approach to enhance tumor‐specific CTL responses through the selective recruitment of CXCL9‐expressing cDC1s into the tumor masses.
Wekemo Bioincloud: A user‐friendly platform for meta‐omics data analyses
Authors: Gao Yunyun , Zhang Guoxing , Jiang Shunyao , Liu Yong‐Xin 
Published: February 2024

AbstractThe increasing application of meta‐omics approaches to investigate the structure, function, and intercellular interactions of microbial communities has led to a surge in available data. However, this abundance of human and environmental microbiome data has exposed new scalability challenges for existing bioinformatics tools. In response, we introduce Wekemo Bioincloud—a specialized platform for ‐omics studies. This platform offers a comprehensive analysis solution, specifically designed to alleviate the challenges of tool selection for users in the face of expanding data sets. As of now, Wekemo Bioincloud has been regularly equipped with 22 workflows and 65 visualization tools, establishing itself as a user‐friendly and widely embraced platform for studying diverse data sets. Additionally, the platform enables the online modification of vector outputs, and the registration‐independent personalized dashboard system ensures privacy and traceability. Wekemo Bioincloud is freely available at https://www.bioincloud.tech/.
3D printing modality effect: Distinct printing outcomes dependent on selective laser sintering (SLS) and melt extrusion
Authors: Park Jeong Hun , Tucker Sarah Jo , Yoon Jeong‐Kee , Kim YongTae , Hollister Scott J. 
Published: February 2024

AbstractA direct and comprehensive comparative study on different 3D printing modalities was performed. We employed two representative 3D printing modalities, laser‐ and extrusion‐based, which are currently used to produce patient‐specific medical implants for clinical translation, to assess how these two different 3D printing modalities affect printing outcomes. The same solid and porous constructs were created from the same biomaterial, a blend of 96% poly‐ε‐caprolactone (PCL) and 4% hydroxyapatite (HA), using two different 3D printing modalities. Constructs were analyzed to assess their printing characteristics, including morphological, mechanical, and biological properties. We also performed an in vitro accelerated degradation study to compare their degradation behaviors. Despite the same input material, the 3D constructs created from different 3D printing modalities showed distinct differences in morphology, surface roughness and internal void fraction, which resulted in different mechanical properties and cell responses. In addition, the constructs exhibited different degradation rates depending on the 3D printing modalities. Given that each 3D printing modality has inherent characteristics that impact printing outcomes and ultimately implant performance, understanding the characteristics is crucial in selecting the 3D printing modality to create reliable biomedical implants.
Therapeutic Strategies for Idiopathic Pulmonary Fibrosis – Thriving Present and Promising Tomorrow
Authors: Gupta Nikita , Paryani Mitali , Patel Snehal , Bariya Aditi , Srivastava Anshu , Pathak Yashwant , Butani Shital 
Published: February 2024

AbstractIdiopathic pulmonary fibrosis (IPF) is a continuous, progressive, and lethal age‐related respiratory disease. It is characterized by condensed and rigid lung tissue, which leads to a decline in the normal functioning of the lungs. The pathophysiology of IPF has still not been completely elucidated, so current strategies are lagging behind with respect to improving the condition of patients with IPF and increasing their survival rate. The desire for a better understanding of the pathobiology of IPF and its early detection has led to the identification of various biomarkers associated with IPF. The use of drugs such as pirfenidone and nintedanib as a safe and effective treatment alternative have marked a new chapter in the treatment of IPF. However, nonpharmacological therapies, involving long‐term oxygen therapy, transplantation of the lungs, pulmonary rehabilitation, ventilation, and palliative care for cough and dyspnea, are still considered to be beneficial as supplementary methods for IPF therapy. A major risk factor for IPF is aging, with associated hallmarks such as telomere attrition, senescence, epigenetic drift, stem cell exhaustion, loss of proteostasis, and mitochondrial dysfunction. These are promising earmarks for the development of potential therapy for the disease. In this review, we have discussed current and emerging novel therapeutic strategies for IPF, especially for targets associated with age‐related mechanisms.
Achievement goal theory in STEM education: A systematic review
Authors: Struck Jannini Alexander Vincent , Akdemir Zeynep , Menekse Muhsin 
Published: February 2024

AbstractBackgroundAchievement goal theory is a popular motivational theory within education and psychology, with several review papers summarizing the extensive work done in these fields. Although reviews exist in these specific fields, none exists within science, technology, engineering, and mathematics (STEM) education. This is a considerable gap in our knowledge as STEM educators, especially engineering educators, where motivation is often ill‐defined.PurposeThis paper highlights the findings of a systematic review of how STEM educators have used achievement goal theory within undergraduate STEM education.Scope/MethodWe followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) 2020 checklist for our search. A total of 50 studies (43 journal articles and 7 conference proceedings) were included in our review.ResultsOur review revealed five common themes: quantitative methodologies, sex, emotions, academic achievement, and culture. A majority of the papers reviewed used quantitative methods. Although there was inconclusive evidence of differences in motivational orientations based on biological sex, the most studied emotion (anxiety) was found to be inversely correlated with mastery orientations. Among the many ways to measure academic achievement, exam scores was the most popular method reported. Lastly, ethnic, institutional, and department cultures were significant factors in shaping a student's motivational orientation.ConclusionsOur review suggests that a motivational difference between students based on biological sex is inconclusive. We also recommend more studies that use qualitative or mixed methodologies to gain further insight into students' motivational processes and consider how cultural contexts may impact students' motivational orientations.
Saturated buffers: Improvements and issues
Authors: Eldridge Emma E. , Schoonover Jon E. , Williard Karl W. J. , Sadeghpour Amir , Gillespie Jackie C. 
Published: February 2024

AbstractSaturated buffers are a newly developed agricultural best management practice used to redirect tile flow away from waterways, thereby mitigating nutrient losses and downstream eutrophication. This study evaluated the potential benefits of a novel saturated buffer design, which included pitchfork‐shaped (PF) dispersion lines and a backflow check valve, that was installed alongside a traditional or standard (ST) buffer on a field in Moultrie County, Illinois, in the spring of 2019. Daily flow measurements and routine water samples were used to monitor the movement of water through both buffers and estimate nutrient loads. During observation days in 2020 and 2021, the PF buffer diverted 35% and 1.9% of incoming tile flow, respectively, while the ST buffer increased effluent rates by 116% and 137% over the same period. Both the PF and ST buffers experienced backflow from 30% to 47% of the monitoring period, well above the often reported 5%. Ultimately, the efficacy of saturated buffers could be improved with minimal, low‐cost additions to their designs. Check valves are a simple supplement to saturated buffer design that can enhance flow diversion and potential nutrient removal. Added dispersion lines provide more opportunity for diversion of tile flow; however, they require more land to be removed from agricultural production and could increase backflow volumes, so the costs and benefits should be weighed.
Aleukemic congenital leukemia cutis preceding monocytic leukemia with favorable outcome: A case report
Authors: Lo Presti Caroline , Szymanski Gautier , Lefebvre Christine , Jacob Marie‐Christine , Mossuz Pascal , Gil Hugo 
Published: February 2024

AbstractA newborn girl had typical “blueberry muffin” skin lesions, which shows histopathologic features of monocytic leukemia cutis. The systemic leukemia was demonstrated after one month of life. She was treated by chemotherapy, including induction and three consolidation cures, according to the ELAM02 protocol, which led to complete remission. This case report with congenital form of AML5 cutaneous localization, preceding systemic involvement, with a 5‐year follow‐up and positive outcome is remarkable.
COVID‐19 vaccine uptake, conspiracy theories, and health literacy among Black individuals in Canada: Racial discrimination, confidence in health, and COVID‐19 stress as mediators
Authors: Cénat Jude Mary , Farahi Seyed Mohammad Mahdi Moshirian , Dalexis Rose Darly , Yaya Sanni , Caulley Lisa , Chomienne Marie‐Hélène 
Published: February 2024

AbstractFactors influencing vaccine uptake in Black individuals remain insufficiently documented. Understanding the role of COVID‐19 related stress, conspiracy theories, health literacy, racial discrimination experiences, and confidence in health authorities can inform programs to increase vaccination coverage. We sought to analyze these factors and vaccine uptake among Black individuals in Canada. A representative sample of 2002 Black individuals from Ontario, Quebec, Alberta, Nova Scotia, New Brunswick, British Columbia, and Manitoba, aged 14 years or older completed questionnaires assessing vaccine uptake, health literacy, conspiracy theories, racial discrimination experiences, COVID‐19‐related stress, and confidence in health authorities. Mediation analyses were conducted to assess (1) the effect of health literacy on COVID‐19 vaccination uptake through confidence and need, COVID‐19 related traumatic stress, and racial discrimination, and (2) the effect of conspiracy beliefs on COVID‐19 vaccination uptake through the same factors. Overall, 69.57% (95% confidence interval, 67.55%–71.59%) of the participants were vaccinated and 83.48% of them received two or more doses. Those aged 55 years and older were less likely to be vaccinated, as well as those residing in British Columbia and Manitoba. Mediation models showed that the association between health literacy and COVID‐19 vaccine uptake was mediated by confidence in health authorities (B = 0.02, p < 0.001), COVID‐19‐related stress (B = −0.02, p < 0.001), and racial discrimination (B = −0.01, p = 0.032), but both direct and total effects were nonsignificant. Lastly, conspiracy beliefs were found to have a partial mediation effect through the same mediators (B = 0.02, p < 0.001, B = −0.02, p < 0.001, B = −0.01, p = 0.011, respectively). These findings highlight the need for targeted interventions to address vaccine hesitancy and inform approaches to improve access to vaccinations among Black communities.
Prediction and visualization of moisture content in Tencha drying processes by computer vision and deep learning
Authors: You Jie , Li Dengshan , Wang Zhen , Chen Quansheng , Ouyang Qin 
Published: February 2024

AbstractBACKGROUNDIt is important to monitor and control the moisture content throughout the Tencha drying processing procedure so that its quality is ensured. Workers often rely on their senses to perceive the moisture content, leading to relative subjectivity and low reproducibility. Traditional drying methods, which are used for measuring moisture content, are destructive to samples. This research was conducted using computer vision combined with deep learning to detect moisture content during the Tencha drying process. Different color space components of Tencha drying sample images were first extracted by computer vision. The color components were preprocessed using MinMax and Z score. Subsequently, one‐dimensional convolutional neural networks (1D‐CNN), partial least squares, and backpropagation artificial neural networks models were built and compared.RESULTSThe 1D‐CNN model and Z score preprocessing achieved superior predictive accuracy, with correlation coefficient of prediction (Rp) = 0.9548 for moisture content. The migration of moisture content during the Tencha drying process was eventually visualized by mapping its spatial and temporal distributions.CONCLUSIONThe results indicated that computer vision combined with 1D‐CNN was feasible for moisture prediction during the Tencha drying process. This study provides technical support for the industrial and intelligent production of Tencha. © 2024 Society of Chemical Industry.
Identification and functional validation of a novel pathogenic POT1 germline variant p.G95V in familial melanoma
Authors: Bakr Farrah , Kulkarni Anjana , Mounsey Stephen , Mitchell Tracey , Whittaker Sean , Lacy Katie 
Published: February 2024

AbstractPOT1 variants have been identified in familial melanoma (FM) as well as a number of other germline and somatic malignancies. The functional validation of variants identified from the screening of patients with melanoma gene susceptibility panels is key to understanding the clinical significance of identified variants. Here we report a novel, likely pathogenic POT1 missense variant (p.G95V) in FM and investigate its functional impact. We demonstrate loss of function owing to the inability of the mutant POT1 protein to bind telomeric DNA compared to its wild‐type counterpart. This study provides important functional validation of a novel POT1 variant in FM.