bluuebunny/crossref_metadata_2025_split huggingface dataset:
Listening as activism: Re‐thinking resilience and justice‐doing as a response to trauma
Authors: Halliwell Carol , Shannahan Ben 
Published: October 2023

AbstractJust as language is political, so too is the way we listen to people. Our listening shapes the way we witness and respond to others and the stories of life that are co‐constructed in the process. Co‐constructing resiliences includes returning the gaze on the political and social contexts in which harm to people takes place. In the process, we explore listening practices associated with therapeutic activism (D'Arrigo‐Patrick et al., 2017) and the generative potential offered by tuning into the meanings people attribute to their responses to violence and how people do resilience in their lives offers. We will demonstrate how our work with a family has led us to think about how we can all be jointly sustained in the work by making moments and practices of resistance and resilience visible. We will explore how these practices can enhance a sense of personal agency and create experiences of vicarious resilience (Hernandez‐Wolfe, 2018) that help people access more possibilities in their lives.
Recent advances in neoantigen vaccines for treating non‐small cell lung cancer
Authors: Su Shu , Chen Fungjun , Xu Mingyuan , Liu Baorui , Wang Lifeng 
Published: October 2023

AbstractThe breakthrough of programmed cell death protein 1 (PD‐1) blockade therapy has changed the clinical treatment of non‐small cell lung cancer (NSCLC) in the past few years. The success of PD‐1 blockade therapy has been attributed to high tumor mutation burden and high immunogenicity of lung cancer cells. To further improve the efficacy of NSCLC immunotherapy and overcome the resistance of lung cancer cells to immune checkpoint blockade, new approaches that enhance the active immune response, such as neoantigen vaccines and cellular‐based therapies, are urgently required. Neoantigens are considered ideal targets for cancer immunotherapy because of their high immunogenicity and specificity. In this mini review, we first discuss the current advances in neoantigen vaccines for treating cancers and then review the results of preclinical studies and early‐phase human clinical trials of neoantigen‐based therapies for NSCLC. Finally, we focus on the identification of neoantigens in patients with NSCLC and review the candidate mutations reported by recent studies and our investigations. The review concludes that, in addition to immune checkpoint blockade, approaches targeting neoantigens are promising for improving the efficacy of NSCLC immunotherapy.
Causes of stillbirth in ethnically diverse women in a Perth metropolitan hospital: A retrospective study
Authors: Sharma Kriti , Bhat Saiuj , Bhat Sangeeta Malla 
Published: October 2023

BackgroundMost published reports analysing the differences in causation of stillbirth between different ethnic groups focus on stillbirth risk factors, with a paucity of data comparing actual causes of stillbirth.AimsTo determine whether causes of stillbirth differ between Caucasian and non‐Caucasian ethnic groups in an Australian context.Materials and MethodsData from all stillbirths occurring at 20 or more completed weeks of gestation between 1 January 2010 and 31 December 2020 at a secondary level, outer metropolitan hospital, were analysed in this retrospective case series. Causes of stillbirth as determined by perinatal autopsy and placental histopathology were categorised using the Perinatal Society of Australia and New Zealand Perinatal Death Classification and compared between Caucasian and non‐Caucasian groups.ResultsNinety‐two stillbirths (0.7% of all births) were identified during the study period. A greater proportion of non‐Caucasian women had small for gestation age placentas compared to Caucasian women (n = 22/43 (51%) vs n = 12/49 (24%); P = 0.025). A greater proportion of stillbirths were caused by hypoxic peripartum death in non‐Caucasian than in Caucasian women (n = 4/43 (9%) vs n = 0/49 (0%); P = 0.044), and a greater prevalence of placental dysfunction was seen in the non‐Caucasian cohort compared to Caucasian women (n = 14/43 (33%) vs n = 8/49 (16%); P = 0.057).ConclusionsThe differences observed in causes of stillbirth between Caucasian and non‐Caucasian women are hypothesis generating and warrant further larger‐scale, multi‐centred studies using standardised definitions and classification systems to determine whether these differences persist in a more representative sample.
Penile fractures: the price of a merry Christmas
Authors: Pyrgidis Nikolaos , Chaloupka Michael , Volz Yannic , Pfitzinger Paulo , Apfelbeck Maria , Weinhold Philipp , Stief Christian , Marcon Julian , Schulz Gerald Bastian 
Published: October 2023

ObjectivesTo explore whether Christmas might be a risk factor for penile fractures due to the Christmas spirit related to the intimacy and euphoria of these holly jolly days.Patients and methodsWe evaluated the incidence of penile fractures during Christmas and New Year's Eve through the GeRmAn Nationwide inpatient Data (GRAND) from the Research Data Center of the Federal Bureau of Statistics (Wiesbaden, Germany). Furthermore, we assessed the impact of COVID‐19 on penile fractures and their seasonality.ResultsA total of 3,421 patients with a median, interquartile range (IQR) age of 42 (32–51) years had a penile fracture requiring a hospital stay from 2005 to 2021. In all, 40 (1.2%) penile fractures occurred in 51 days of Christmas (from 24/12 to 26/12 in each year). The daily incidence of penile fractures during Christmas was 0.78 with an incidence rate ratio (IRR) of 1.43 (95% confidence interval [CI] 1.05–1.95, P = 0.02). If every day was like Christmas, 43% more penile fractures would have occurred in Germany from 2005 on. Interestingly, only 28 (0.82%) penile fractures occurred during the New Year's Eve period (31/12 to 02/01 from 2005 to 2021). This resulted in an IRR of 0.98 (95% CI 0.69–1.5, P = 0.98) in the New Year's Eve period. Most patients with penile fractures were admitted to hospital at the weekend (n = 1,322; IRR 1.58, 95% CI 1.48–1.69; P < 0.001). Summer was also associated with more penile fractures (n = 929; IRR 1.11, 95% CI 1.03–1.19; P = 0.008). Both the COVID‐19 pandemic (n = 385; IRR 1.06, 95% CI 0.95–1.18, P = 0.29) and its lockdown period (n = 93; IRR 1, 95% CI 0.82–1.23; P = 0.96) did not affect the incidence of penile fractures.ConclusionThe incidence of penile fractures displays a seasonality. Last Christmas penile fractures occurred more often. This year to save us from tears, we will NOT do something special (the new Christmas hit of the year).
Prenatal Di‐methoxyethyl phthalate exposure impairs cortical neurogenesis and synaptic activity in the mice
Authors: Ko Moon Yi , Park Heejin , Chon Sun‐Hwa , Lee Byoung‐Seok , Cha Sin‐Woo , Hyun Sung‐Ae , Ka Minhan 
Published: October 2023

AbstractDi‐methoxyethyl phthalate (DMEP) is a well‐known environmentally prevalent endocrine disruptor and may be associated with neurodevelopmental disorders including attention deficit/hyperactivity disorder and intellectual disability. However, the regulatory mechanisms leading to these neurodevelopmental disorders are still poorly understood. Here, we demonstrate that prenatal DMEP exposure causes abnormal brain morphology and function in the mice. DMEP (50 mg/kg) was chronically administered to pregnant mice orally once a day starting on embryonic day 0 (E0) to breast‐feeding cessation for the fetus. We found that prenatal DMEP exposure significantly reduced the number of neurons in the parietal cortex by impairing neurogenesis and gliogenesis during the developing cortex. Moreover, we found that prenatal DMEP exposure impaired dendritic spine architectures and synaptic activity in the parietal cortex. Finally, prenatal DMEP exposure in mice induces hyperactivity and reduces anxiety behaviors. Altogether, our study demonstrates that prenatal DMEP exposure leads to abnormal behaviors via impairment of neurogenesis and synaptic activity.
Does subsidized orthodontic treatment reduce inequalities in access? Evidence from Norway based on population register data
Authors: Jiang Nan , Kinge Jonas Minet , Skau Irene , Grytten Jostein 
Published: October 2023

AbstractObjectiveAn important part of Norwegian welfare policy is to provide subsidized orthodontic treatment for children and adolescents. The objective of this policy is that dental services should be allocated according to children's need for treatment, and not according to parents' ability to pay. The probability of receiving orthodontic treatment independent of parent's household income was examined.MethodsThe study population encompassed children and adolescents aged 10–18 years in 2019 (n = 354 439). Information about whether they had started orthodontic treatment was obtained from the Norwegian Health Economics Administration. The key independent variable was net equalized household income. Inequalities were measured using concentration indices, which were estimated according to the severity of the malocclusion (very great need, great need, obvious need and no need). Two indices were used to measure relative inequality: the unstandardized concentration index and the partial concentration index. Absolute inequality was measured using the corrected concentration index. Relevant control variables were included in some of the analyses.ResultsThe unstandardized indices were in the range 0.04 (very great need) to 0.05 (obvious need). For all three groups of severity, the 95% confidence intervals overlapped. The values of the partial indices were significantly lower than the values of the unstandardized indices. The partial indices were in the range 0.008 (very great need) to 0.03 (obvious need). The 95% confidence intervals for the partial indices did not overlap with the 95% confidence intervals of the unstandardized indices. For all three groups of severity, the indices that measured absolute inequality were close to zero.ConclusionsIt is possible to achieve the egalitarian aim of equality in service provision by subsidizing orthodontic treatment. This is possible within a system where the cost of orthodontic treatment is reimbursed according to the criteria of need. These criteria function in such a way that patients with the greatest need for orthodontic treatment are given the highest priority.
Combating Spurious Correlations in Loose‐fitting Garment Animation Through Joint‐Specific Feature Learning
Authors: Diao Junqi , Xiao Jun , He Yihong , Jiang Haiyong 
Published: October 2023

AbstractWe address the 3D animation of loose‐fitting garments from a sequence of body motions. State‐of‐the‐art approaches treat all body joints as a whole to encode motion features, which usually gives rise to learned spurious correlations between garment vertices and irrelevant joints as shown in Fig. 1. To cope with the issue, we encode temporal motion features in a joint‐wise manner and learn an association matrix to map human joints only to most related garment regions by encouraging its sparsity. In this way, spurious correlations are mitigated and better performance is achieved. Furthermore, we devise the joint‐specific pose space deformation (PSD) to decompose the high‐dimensional displacements as the combination of dynamic details caused by individual joint poses. Extensive experiments show that our method outperforms previous works in most indicators. Moreover, garment animations are not interfered with by artifacts caused by spurious correlations, which further validates the effectiveness of our approach. The code is available at https://github.com/qiji77/JointNet.
Sharing Model Framework for Zero‐Shot Sketch‐Based Image Retrieval
Authors: Ho Yi‐Hsuan , Way Der‐Lor , Shih Zen‐Chung 
Published: October 2023

AbstractSketch‐based image retrieval (SBIR) is an emerging task in computer vision. Research interests have arisen in solving this problem under the realistic and challenging setting of zero‐shot learning. Given a sketch as a query, the search goal is to retrieve the corresponding photographs in a zero‐shot scenario. In this paper, we divide the aforementioned challenging work into three tasks and propose a sharing model framework that addresses these problems. First, the weights of the proposed sharing model effectively reduced the modality gap between sketches and photographs. Second, semantic information was used to handle different label spaces during the training and testing stages. The sketch and photograph domains share semantic information. Finally, a memory mechanism is used to reduce the intrinsic variety in sketches, even if they all belong to the same class. Sketches and photographs dominate the embeddings in turn. Because sketches are not limited by language, our ultimate goal is to find a method to replace text searches. We also designed a demonstration program to demonstrate the use of the proposed method in real‐world applications. Our results indicate that the proposed method exhibits considerably higher zero‐shot SBIR performance than do other state‐of‐the‐art methods on the challenging Sketchy, TU‐Berlin, and QuickDraw datasets.
Fabricatable 90° Pop‐ups: Interactive Transformation of a 3D Model into a Pop‐up Structure
Authors: Fujikawa J. , Ijiri T. 
Published: October 2023

AbstractNinety‐degree pop‐ups are a type of papercraft on which a three‐dimensional (3D) structure pops up when the angle of the base fold is 90°. They are fabricated by cutting and creasing a single sheet of paper. Traditional 90° pop‐ups are limited to 3D shapes only comprising planar shapes because they are made of paper. In this paper, we present novel pop‐ups, fabricatable 90° pop‐ups that employ the 90° pop‐up mechanism, consist of components with curved shapes, and can be fabricatable using a 3D printer. We propose a method for converting a 3D model into a fabricatable 90° pop‐up. The user first interactively designs a layout of pop‐up components, and the system automatically deforms the components using the 3D model. Because the generated pop‐ups contain necessary cuts and folds, no additional assembly process is required. To demonstrate the feasibility of the proposed method, we designed and fabricated various 90° pop‐ups using a 3D printer.
Integrating High‐Level Features for Consistent Palette‐based Multi‐image Recoloring
Authors: Xue D. , Corral J. Vazquez , Herranz L. , Zhang Y. , Brown M. S. 
Published: October 2023

AbstractAchieving visually consistent colors across multiple images is important when images are used in photo albums, websites, and brochures. Unfortunately, only a handful of methods address multi‐image color consistency compared to one‐to‐one color transfer techniques. Furthermore, existing methods do not incorporate high‐level features that can assist graphic designers in their work. To address these limitations, we introduce a framework that builds upon a previous palette‐based color consistency method and incorporates three high‐level features: white balance, saliency, and color naming. We show how these features overcome the limitations of the prior multi‐consistency workflow and showcase the user‐friendly nature of our framework.
Perspective from single‐cell sequencing: Is inflammation in acute ischemic stroke beneficial or detrimental?
Authors: Deng Xinpeng , Hu Ziliang , Zhou Shengjun , Wu Yiwen , Fu Menglin , Zhou Chenhui , Sun Jie , Gao Xiang , Huang Yi 
Published: October 2023

AbstractBackgroundAcute ischemic stroke (AIS) is a common cerebrovascular event associated with high incidence, disability, and poor prognosis. Studies have shown that various cell types, including microglia, astrocytes, oligodendrocytes, neurons, and neutrophils, play complex roles in the early stages of AIS and significantly affect its prognosis. Thus, a comprehensive understanding of the mechanisms of action of these cells will be beneficial for improving stroke prognosis. With the rapid development of single‐cell sequencing technology, researchers have explored the pathophysiological mechanisms underlying AIS at the single‐cell level.MethodWe systematically summarize the latest research on single‐cell sequencing in AIS.ResultIn this review, we summarize the phenotypes and functions of microglia, astrocytes, oligodendrocytes, neurons, neutrophils, monocytes, and lymphocytes, as well as their respective subtypes, at different time points following AIS. In particular, we focused on the crosstalk between microglia and astrocytes, oligodendrocytes, and neurons. Our findings reveal diverse and sometimes opposing roles within the same cell type, with the possibility of interconversion between different subclusters.ConclusionThis review offers a pioneering exploration of the functions of various glial cells and cell subclusters after AIS, shedding light on their regulatory mechanisms that facilitate the transformation of detrimental cell subclusters towards those that are beneficial for improving the prognosis of AIS. This approach has the potential to advance the discovery of new specific targets and the development of drugs, thus representing a significant breakthrough in addressing the challenges in AIS treatment.
Phase I crossover study of DNA‐protein kinase inhibitor peposertib in healthy volunteers: Effect of food and pharmacokinetics of an oral suspension
Authors: Becker Andreas , Krebs‐Brown Axel , Vetter Claudia , Reuter Tanja , Rodriguez‐Gutierrez Almudena , You Xiaoli , Lissy Michael 
Published: October 2023

AbstractPeposertib is an orally administered inhibitor of DNA‐dependent protein kinase. We evaluated the effect of food on its pharmacokinetics, and examined the pharmacokinetics of an oral suspension (OS) of disintegrated tablets, in a phase I, open‐label, crossover three‐period study (NCT04702698). Twelve healthy volunteers were randomized to one of six treatment sequences. They received a single dose of peposertib 100 mg as film‐coated tablets under fasted or fed conditions (“tablet fasted” or “tablet fed”) or as an OS under fasted conditions (“OS fasted”), with washout between treatments. Using healthy volunteers was possible because, despite its mechanism of action being suppression of DNA repair, peposertib has shown no genotoxic effect in animals. A mild food effect was observed with peposertib tablets. Fed‐to‐fasted ratios were: area under the curve from time 0 to time t (AUC0–t), 123.81% (90% confidence interval [CI]: 108.04, 141.87%); AUC from zero to infinity (AUC0–∞), 110.28% (90% CI 100.71, 120.77%); and maximum concentration (Cmax) 104.47% (90% CI: 79.15, 137.90%). Cmax was delayed under fed conditions (median time to maximum concentration [Tmax] was 3.5 h [tablet fed] vs. 1 h [tablet fasted]). OS‐to‐tablet (fasted) ratios were: AUC0–t, 124.83% (90% CI: 111.50%, 139.76%); AUC0–∞, 119.05% (90% CI: 104.47, 135.67%); and Cmax 173.29% (90% CI: 135.78, 221.16%). Median Tmax was 0.5 h (OS fasted) versus 1 h (tablet). All treatments were well‐tolerated in healthy volunteers. Peposertib tablets can be taken with or without food; if combined with chemotherapy or radiotherapy, the delay in Cmax must be considered to optimize the chemo‐ or radiosensitizing effect. The peposertib OS form represents an alternative route of administration in patients with specific cancers causing dysphagia. However, the OS form should be part of future dose optimization strategies in relevant settings.
Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis
Authors: El Madou Kaoutar , Marso Said , El Kharrim Moad , El Merouani Mohamed 
Published: October 2023

AbstractIn recent years, financial distress prediction (FDP), also known as corporate failure prediction or bankruptcy prediction, has gained significant importance due to its impact on organizations, especially during unexpected events like pandemics and wars. Machine learning (ML) models have emerged as innovative and essential tools in predicting financial distress, leveraging the ever‐increasing volume of databases and computing power. This study utilizes bibliographic techniques to contribute to the field's literature review to address the disorganized nature of the existing literature on FDP, reduce confusion, and provide clarity to domain researchers. These techniques enable identifying the progress of articles published over the years, influential authors, and highly cited articles. Additionally, the study examines crucial aspects of data preprocessing, such as missing data, imbalanced data, feature selection, and outliers, as they significantly impact the robustness and performance of ML models. Furthermore, it discusses essential models employed in FDP, focusing on recent advancements that represent promising trends. In conclusion, this study contributes to the field by uncovering novel trends and proposing possible directions for advancing FDP research. These findings will guide researchers, practitioners, and stakeholders in their quest for improved prediction and decision‐making in financial distress.
Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID‐19 pandemic
Authors: Kour Harnain , Gupta Manoj Kumar 
Published: October 2023

AbstractCOVID‐19 pandemic has impacted many nations, causing physical as well as mental health concerns globally. In most countries, governments enforced strict lockdowns and social distancing, thus affecting people's daily lives. People usually tweet their views on online platforms that is unstructured text with implicit meaning. With the evolution of artificial intelligence in the natural language processing domain, the prediction of sentiments accurately has become a challenge. To contribute as a solution to this, a hybrid approach is proposed for sentiment prediction with the use of an evolutionary‐based approach, transfer‐based learning and machine learning. The proposed approach uses bidirectional encoder representations from transformers (BERT) with genetic algorithm (GA) and support vector machine (SVM), namely, hybrid evolutionary intelligent model (GA‐BERT‐SVM). These approaches aid in extracting important features considering semantics and context present in the text. To avoid the limitations of the backpropagation approach, such as trapping in local minima and overfitting the data, the initial parameters (weights and biases) of the dense layers has been optimized using GA. Additionally, the pretrained BERT layers are utilized without any modification, following a standard transfer learning approach. The BERT embeddings are concatenated with the SVM for training and classification. GridSearchCV and GeneticSearchCV is used for obtaining optimal parameters of SVM. A multi‐classification problem is tackled using a benchmark COVID‐19 dataset, which comprises of Twitter data and is categorized into COVIDSENTI‐A, COVIDSENTI‐B, COVIDSENTI‐C and a combined dataset called COVIDSENTI. Experimental evaluation demonstrates promising results of the proposed model in terms of accuracy, F1‐score, precision and recall, surpassing state‐of‐the‐art approaches.
Human mobility and environmental degradation: Shaping rural Morocco
Authors: Ferreira Fernandes Carla Sofia , Alves Fátima , Loureiro João 
Published: October 2023

AbstractEnvironmental degradation constitutes a disruptive force in man‐made and natural systems. The projected duplication of the frequency and duration of meteorological drought will contribute to a situation of water scarcity, which is expected to negatively impact the agricultural sector. This study focuses on Souss‐Massa, Morocco, a leading agricultural region, and it seeks to map how human mobility fits within a wider adaptation response to environmental degradation. Over 30 semi‐structured interviews were conducted with internal migrants and members of rural communities on the perceived impacts of environmental degradation and human mobility. Most of the interviewees perceive a reduction in the available water, and the agricultural sector is the most severely affected by those changes. Internal migration is the most frequent adaptation strategy mentioned, and the remittances it originates are supporting the communities of origin facing a deterioration of agricultural output.