bluuebunny/crossref_metadata_2025_split huggingface dataset:
Double‐Layered Microneedle Patch Integrated with Multifunctional Nanoparticles and Live Bacteria for Long‐Term Treatment of Atopic Dermatitis
Authors: Zhang Wen , Lei Jiapeng , Jiang Peng , Hao Tianshu , Yuan Yaqi , Hu Hankun , Li Wei 
Published: November 2024

AbstractAtopic dermatitis (AD) is a complex and prevalent chronic inflammatory skin disease that impacts a significant portion of the global population. Conventional treatments often focus on a singular pathogenic factor or suffer from limited skin penetration, resulting in unsatisfactory outcomes. Here, a multifunctional double‐layered microneedle (MN) patch is proposed for long‐term and effective treatment of AD by integrating therapeutic nanoparticles (NPs) and live bacteria. In the design, the MN tips are loaded with Prussian blue NPs encapsulating cetirizine hydrochloride (CET@PB NPs), while the patch backing incorporates Bacillus subtilis (B. subtilis). Upon skin insertion, the MN patch efficiently delivers CET@PB NPs into the skin and deposits live B. subtilis on the skin surface after fast dissolution. The delivered NPs not only scavenge reactive oxygen species (ROS) and improve oxidative stress microenvironments in the AD lesions, but also provide sustained release of the antihistamine CET in the skin for alleviating AD symptoms. Furthermore, B. subtilis survives on the skin for over 9 days and effectively inhibits the growth of the harmful bacteria Staphylococcus aureus. These features highlight the superior efficacy of the MN patch in long‐term treatment of AD, offering a promising alternative for the management of skin disorders in clinics.
Software Refactoring Network: An Improved Software Refactoring Prediction Framework Using Hybrid Networking‐Based Deep Learning Approach
Authors: Pandiyavathi T. , Sivakumar B. 
Published: November 2024

ABSTRACTSoftware refactoring plays a vital role in maintaining and improving the quality of software systems. The software refactoring network aims to connect developers, researchers, and practitioners to share knowledge, best practices, and tools related to refactoring. However, the network faces various challenges, such as the complexity of software systems, the diversity of refactoring techniques, and the need for automated and intelligent solutions to assist developers in making refactoring decisions. By leveraging deep learning techniques, the software refactoring network can enhance the speed, accuracy, and relevance of refactoring suggestions, ultimately improving the overall quality and maintainability of software systems. So, in this paper, an advanced deep learning–based software refactoring framework is proposed. The suggested model performs three phases as (a) data collection, (b) feature extraction, and (c) prediction of software refactoring. Initially, the data is collected from ordinary datasets. Then, the collected data is fed to the feature extraction stage, where the source code, process, and ownership metrics of all refactored and non‐refactored data are retrieved for further processing. After that, the extracted features are predicted using Adaptive and Attentive Dilation Adopted Hybrid Network (AADHN) techniques, in which it is performed using Deep Temporal Context Networks (DTCN) with a Bidirectional Long‐Short Term Memory (Bi‐LSTM) model. Here, the parameters in the hybrid networking model are optimized with the help of Constant Integer Updated Golden Tortoise Beetle Optimizer (CIU‐GTBO) for improving the prediction process. Therefore, the accuracy of the developed algorithm has achieved for different datasets, whereas it shows the value of 96.41, 96.38, 96.38, 96.38, 96.41, 96.38, and 96.39 for antlr4, junit, mapdb, mcMMO, mct, oryx, and titan. Also, the precision of the developed model has shown the better performance of 96.38, 96.32, 96.37, 96.33, 96.35, 96.37, and 96.31 for the datasets like antlr4, junit, mapdb, mcMMO, mct, oryx, and titan.
Spatially Controlled MicroRNA Imaging in Mitochondria via Enzymatic Activation of Hybridization Chain Reaction
Authors: Dai Kaining , Zhao Jian , Li Lele , Fu Xiaojun 
Published: November 2024

AbstractLive‐cell imaging of RNA in specific subcellular compartments is essential for elucidating the rich repertoire of cellular functions, but it has been limited by a lack of simple, precisely controlled methods. Here such an approach is presented via the combination of hybridization chain reaction and spatially restricted enzymatic activation with organelle‐targeted delivery. The system can localize engineered DNA hairpins in the mitochondria, where target RNA‐initiated chain reaction of hybridization events is selectively activated by a specific enzyme, enabling amplified RNA imaging with high precision. It is demonstrated that the approach is compatible with live cell visualization and enables the regulatable imaging of microRNA in mitochondria. Since in situ activation of the signal amplification with enzyme eliminates the need for genetically encoded protein overexpression, it is envisioned that this simple platform will be broadly applicable for precise RNA imaging with subcellular resolution in a variety of biological processes.
Two‐Phase Extraction, Structural Characterization of the Polysaccharide from Raspberry Pomace and Its Protection Effects against Erythrocyte Hemolysis
Authors: Liu Junwen , Wang Yushun , Song Yuhan , Zhang Hongda , Wei Yanhui , Wang Libo , Xu Yaqin 
Published: November 2024

AbstractIn present study, a new polysaccharide (RPP) from raspberry pomace is prepared through ultrasound‐assisted aqueous two‐phase extraction (UAATPE) and purification using two‐step column chromatography, the extraction conditions are optimized by response surface method (RSM). Under the optimal parameters: liquid to material ratio of 80 mL g−1, ultrasonic power of 340 W, and ultrasonic time of 39 min, the yield of the polysaccharides is 11.72 ± 0.05%. RPP with average molecular weight (Mw) of 59 300 Da is composed of six monosaccharides. Nuclear magnetic resonance (NMR) analyses confirmed that RPP contains six main glycosidic linkages including α‐l‐Araf‐(1→, →2)‐α‐l‐Rhap‐(1→, →4)‐β‐d‐Manp‐(1→, →4)‐α‐d‐GalAp‐(1→, →3)‐β‐d‐Galp‐(1→, →4)‐β‐d‐Glcp‐(1→. RPP exhibits remarkable protective effects against H2O2‐induced erythrocyte hemolysis, the generations of reactive oxygen species, and malondialdehyde are inhibited, and the activities of glutathione peroxidase and catalase are effectively enhanced. The current findings proved that UAATPE is an effective method to extract the polysaccharide from raspberry pomace and provides a new idea for the utilization of nutrient‐rich raspberry fruit residue.
Prognostic impact of adipose tissue loss at 1 month after surgery in patients with gastric cancer
Authors: Hashimoto Itaru , Komori Keisuke , Onuma Shizune , Watanabe Hayato , Suematsu Hideaki , Nagasawa Shinsuke , Kano Kazuki , Kawabe Taiichi , Aoyama Toru , Hayashi Tsutomu , Yamada Takanobu , Sato Tsutomu , Saito Aya , Ogata Takashi , Cho Haruhiko , Yoshikawa Takaki , Rino Yasushi , Oshima Takashi 
Published: November 2024

AbstractBackgroundThe postoperative impact of short‐term changes in skeletal muscle loss (SML) and adipose tissue loss (ATL) on treatment outcomes is unclear in patients with gastric cancer (GC). We investigate the role of SML and ATL at 1 month after surgery in determining postoperative survival and recurrence rates in patients with GC.MethodsWe analyzed 540 patients with GC and assessed their skeletal muscle mass, visceral fat mass, and subcutaneous fat mass using computed tomography scans preoperatively and 1 month postoperatively. Patients were categorized into high and low groups based on their levels of SML, visceral ATL (v‐ATL), and subcutaneous ATL (s‐ATL). Additionally, they were classified into three groups (high ATL, intermediate ATL, and low ATL) based on their v‐ATL and s‐ATL measurements.ResultsPatients with higher v‐ATL and s‐ATL had lower overall survival (OS) and recurrence‐free survival (RFS) rates. High ATL was an independent prognostic factor for decreased OS (hazard ratio [HR] 2.27; 95% confidence interval [CI] 1.16–4.42; and P = 0.02) and RFS (HR 2.51; 95% CI 1.34–4.71; and P = 0.004) rates.ConclusionA reduction in adipose tissue volume shortly after surgery (1 month) could potentially indicate an increased risk of recurrence and mortality in patients with GC.
Public Education Policies and the Struggle of the Indigenous Movement for a Decolonial Interculturality
Authors: Minoia Paola , Tapia Andrés 
Published: November 2024

AbstractThis chapter presents some conceptual aspects related to the recognition of pluriversal knowledges existing in the country through public education policies. In Ecuador, an intercultural bilingual education programme (IBE) was negotiated between the government and indigenous movements, together with land restitution and recognition of Indigenous territories. In line with this programme, state curricula would be reformed through pedagogies of direct connection with land, ancestral knowledges, languages, cultures, and ways of life. The chapter presents the historical context for the creation and operation of IBE, and analyses the plans for its implemention. It illustrates various contradictions between governmental discourses that recognize the plurinational nature of the country—and hence the effort required to support the project of intercultural citizenship—and the reality of political practices that lack coherence, such as the institution of Millennium Schools. Tensions arise when the government’s actions contradict the aspirations for equity and recognition claimed by Indigenous peoples and nationalities. Decoloniality, interculturality, and plurinationality, challenged by bureaucratism and financial disinvestment of IBE, are reclaimed in social outbreaks, including those of 2019 and 2022.
Project Case: Triple Win Project—Fair and Sustainable Recruitment of Nurses
Authors: Bernhardt Maja , Luciano Sonja Alves 
Published: November 2024

AbstractGermany’s nursing sector is already feeling the impact of a significant shortage of nurses today. At present, vacancies outnumber the amount of qualified job seekers on the job market. According to expert estimations, the nursing sector will need 500,000 new nurses by 2030.
Shaping Inclusive Urban Districts: DGNB-Certification as a Tool for Age-Appropriate Quarters
Authors: Eichinger Christian 
Published: November 2024

AbstractAs the world’s population is ageing and urbanising rapidly, cities take the key role in the discussion of how to achieve a sustainable future that needs to integrate high living standards for all inhabitants, energy efficiency and limited consumption of resources. China is at the forefront of these developments, with the migration of the rural population towards urban centres and its ageing society. Several Neighbourhood Sustainability Assessment Tools have been developed to aid planning and urban design to adapt to these challenges. This article examines the “Deutsche Gesellschaft für Nachhaltiges Bauen” (DGNB, German Sustainable Building Council)” programme as a tool for generating inclusive urban design. It specifically looks at the integration of the needs of the elderly and their integration in the assessment criteria of the DGNB. The article considers the requirements for a social- and functional mix, public spaces, accessibility and thermal comfort. As an outlook, it gives an overview over the application of the DGNB urban design programme in the Chinese context.
Coordinated Development of the Beijing-Tianjin-Hebei Region—Research into How the Elderly Care Industry and Vocational Education in the Field of Gerontology Are Being Integrated—A Case Study of Tianjin City Vocational College
Authors: Fu Jian 
Published: November 2024

AbstractThe coordinated development of the Beijing-Tianjin-Hebei region has seen the integration of multiple resources via a “Five-party collaboration” between government, industry, enterprises, vocational schools and research institutes, linking academic resources from schools and colleges in the region to the elderly care industry. This has enabled resource sharing and advantageous complementarity between vocational colleges and elderly care enterprises in the fields of human resources, knowledge, technology and equipment. Key research topics related to the coordinated development of vocational education in the region focus on improving the quality of training of elderly care professionals, promoting talent in the region, integrating industry into education, and collaborative innovation.
Cooperative Control of Multiple CAs
Authors: Nagai Takayuki , Nakamura Tomoaki , Sugiura Komei , Taniguchi Tadahiro , Suzuki Yosuke , Hirata Masayuki 
Published: November 2024

AbstractIn a world where Cybernetic Avatars (CAs) are active in real society, it is expected that one person will control multiple CAs or multiple CAs will cooperate with each other to perform a task. For one operator to control multiple CAs simultaneously, technologies with which one person can operate multiple CAs are required. CAs should work while understanding the intentions of the operator according to the task and environment. In addition, it is assumed that not only able-bodied people but also people with disabilities, such as amyotrophic lateral sclerosis (ALS) patients, will control CAs. This chapter outlines new technologies for realizing the simultaneous remote and coordinated control of multiple CAs (flexible CA control) from various perspectives.
Development of the CA Platform
Authors: Miyashita Takahiro , Utsumi Akira , Yoshimi Takashi 
Published: November 2024

AbstractThe Cybernetic Avatar (CA) platform serves as a software foundation that facilitates connections between CAs and teleoperators and empowers both of them to deliver services to people. This chapter introduces the CA platform and emphasizes its crucial attributes: scalability, customizability, and interoperability. We describe the CA platform’s conceptual framework and social field experiments that leverage its capabilities and discuss its international standardization efforts to maintain the interoperability of the platform’s specifications. This comprehensive overview will provide readers with a deeper understanding of the CA platform's pivotal role in advancing CAs and their applications.
Cybernetic Avatars and Society
Authors: Nakano Yukiko , Kanda Takayuki , Even Jani , Sanfeliu Alberto , Garrell Anais , Kukita Minao , Tsugita Shun , Shimpo Fumio , Yuasa Harumichi 
Published: November 2024

AbstractToward a future symbiotic society with Cybernetic Avatars (CAs), it is crucial to develop socially well-accepted CAs and to discuss legal, ethical, and socioeconomic issues to update social rules and norms. This chapter provides interdisciplinary discussions for these issues from the perspectives of technological and social sciences. First, we propose avatar social implementation guidelines and present studies that contribute to the development of socially well-accepted CAs. The second part of this chapter addresses the ethical and legal issues in installing CAs in society and discusses solutions for them.
Aldoxime dehydratases: production, immobilization, and use in multistep processes
Authors: Martínková Ludmila , Kotik Michael , Kulik Natalia , Křístková Barbora , Šťastná Katarína , Winkler Margit 
Published: November 2024

Abstract
The synthesis of nitriles is of utmost importance for preparative organic chemistry. The classical routes are often associated with disadvantages such as toxicity of the reagents and drastic conditions. The uses of enzymes like aldoxime dehydratases (Oxds) and hydroxynitrile lyases constitute attractive benign alternatives. In this review, we summarize the recent trends regarding Oxds. Thousands of oxd genes were sequenced but less than thirty Oxds were investigated on protein level. We give an overview of these Oxds, their sequence analysis, conditions required for their overexpression, and their purification and assays. We then focus on the use of Oxds especially in multistep reactions combining the chemical or chemoenzymatic synthesis of aldoximes from different starting materials with the enzymatic dehydration of aldoximes to nitriles, possibly followed by the hydration of nitriles to amides. Progress in Oxd immobilization is also highlighted. Based on data published mainly in the last 5 years, we evaluate the industrial prospects of these enzyme processes in comparison with some other innovations in nitrile synthesis.

Key points
• Aldoxime dehydratases (Oxds) are promising for cyanide-free routes to nitriles
• A comprehensive overview of wet-lab explored Oxds is provided
• Recent trends include combining Oxds with other enzymes or chemical catalysts

Graphical Abstract
Association of body mass index with pathologic agreement of preoperative and postoperative tumor grade in endometrial cancer
Authors: Taylor Samantha , Scalia Peter , Meyer Raanan , Nourmoussavi Brodeur Melica , Salvador Shannon , Lau Susie , Gotlieb Walter , Levin Gabriel 
Published: November 2024

Abstract
Objective
We aim to study association of BMI of EC patients, with the level of agreement between preoperative and postoperative tumor grade.

Methods
A retrospective study. We included patients with EC diagnosed in an outpatient clinic which had surgical staging as in our division. We categorized patients into BMI categories according to the World Health Organization; (BMI < 18.5 kg/m2), (BMI 18.5–24.9 kg/m2), (BMI 25–29.9 kg/m2), (BMI 30–34.9 kg/m2), (BMI 35–39.9 kg/m2), and (BMI ≥ 40 kg/m2). We further dichotomized the study population for obesity, defined as BMI ≥ 30.0. We analyzed agreement between preoperative and postoperative tumor grade, stratified by patient’s BMI.

Results
Overall, 623 women met study inclusion criteria, with a median age of 64 [interquartile range (IQR) 57–72]. Among the study cohort, the median BMI was 30.7 [IQR 25.6–38.8], with 330 (53.0%) patients being obese. EC grade 1 was diagnosed preoperatively in 353 (56.7%), grade 3 in 148 (23.8%), and grade 2 in 122 (19.6%). Endometrioid histology was diagnosed in 463 (74.3%), serous in 78 (12.5%), mixed histotype in 51 (8.2%), clear cell in 20 (3.2%) and carcinosarcoma in 11 (1.8%). In 68.7% (n = 428), there was no change in postoperative grade, and in 24.9% (n = 155), there was upgrading of tumor, and in 6.4% (n = 40), there was a tumor downgrade. There were 3 (0.5%) cases in which no tumor was found on final pathology. The rate of no change was higher in preoperative grade 3 (89.9%) vs. grades 1 (63.5%) and grade 2 (58.2%), p < .001). There was no difference in grading agreement when obese patients were compared to non-obese, p = .248. There was no difference in grading agreement when comparing the various BMI categories, with no change proportion ranging between 58.2% in BMI 30.0–34.9 mg/kg2 and 79.7% in BMI 35.0–39.9 mg/kg2, p = .104. ROC analysis of BMI as predictor of no-change yielded an area under the curve of 0.466 (95% confidence interval 0.418–0.515) with a maximal performance at a BMI of 33.8 mg/kg2. The agreement between preoperative and postoperative tumor grade among all patients was kappa = 0.517. The agreement did not differ when compared between obese patients (kappa = 0.456) and non-obese (kappa = 0.575).

Conclusion
Our study found no significant association between BMI and the agreement between preoperative and postoperative tumor grading in EC.
Virtual reality for patient informed consent in skull base tumors and intracranial vascular pathologies: A pilot study
Authors: Westarp Emilia , Saemann Attill , Zelechovski Marek , Faludi Balazs , Cattin Philippe , Soleman Jehuda , Guzman Raphael 
Published: November 2024

Abstract

Purpose
With the growing demand for shared decision-making and patient-centered care, optimal informed consent (IC) has gained relevance. Virtual reality (VR) has seen significant technological advancements, and its medical applications currently include surgical planning and medical education. This pilot study investigates the feasibility of VR-enhanced informed consent (VR-IC) in neurosurgery to improve preoperative IC and patient satisfaction.

Methods
We included patients aged 18 to 75 years who were scheduled for skull base meningioma or brain aneurysm surgery between May and December 2023. Exclusion criteria were visual/auditory impairments and severe cognitive/psychiatric disorders. Patients received standard IC followed by VR-IC using patient-specific VR models of their pathology. After an initial demonstration by the surgeon, the patients used the VR station independently. A questionnaire with 18 questions on a 5-point Likert scale assessed the subjective impression of VR-IC.

Results
Ten patients participated in the study, with six (60%) undergoing aneurysm clipping and four (40%) undergoing skull base meningioma resection. The mean age of the participants was 58 years (± 15, range 27 to 75 years), with four female patients (40%). Patients overall rated the VR-informed consent (VR-IC) positively with a mean of 4.22 (± 0.84). There was a better understanding of their pathology (mean 4.30 ± 0.92) and the planned procedure (mean 3.95 ± 1.04). Trust in the surgeon was rated with a mean of 3.47 (± 0.94). Only minimal side effects from the VR experience including dizziness or discomfort were noted (mean 4.60 ± 0.22). None of the participants dropped out of the study.

Conclusion
VR-enhanced informed consent is feasible and improves patient understanding and satisfaction without significant side effects. These findings will guide the planning of a randomized controlled trial to validate the benefits of VR-IC in neurosurgery further.
Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification
Authors: Hayat Malik Khizar , Xue Shan , Yang Jian 
Published: November 2024

Abstract
In heterogeneous graph analysis, existing self-supervised learning (SSL) methods face several key challenges. Primarily, these approaches are tailored for node-level tasks and fail to effectively capture global graph-level features, a crucial aspect for comprehensive graph understanding. Furthermore, they predominantly rely on meta-path-based techniques to unravel graph structures, a process that can be computationally intensive and often intractable for complex networks. Another significant limitation is their inability to account for nonpairwise relationships, a common characteristic in real-world networks like protein-protein interaction and collaboration networks, limiting their effectiveness in graph-level learning where high-order connectivity is essential. To address these issues, we propose an innovative SSL framework for heterogeneous hypergraph embedding, expressly designed to enhance graph-level classification. Our framework introduces multi-hop attention in hypergraph convolution, a significant leap from existing attention mechanisms specifically for hypergraphs that primarily focus on immediate neighborhoods. This multi-hop approach allows for an expansive capture of relational structures, both near and far, uncovering intricate patterns integral to accurate graph-level classification. Complementing this, we implement an informative graph-level attentive pooling mechanism that surpasses traditional aggregation methods. It intelligently synthesizes features, taking into account their structural and semantic importance within the hypergraph, thereby preserving critical contextual information. Furthermore, we refine our contrastive learning approach and introduce targeted negative sampling strategies, creating a more robust learning environment that excels at discerning nuanced graph-level features. Rigorous evaluation against established graph kernels, graph neural networks, and graph pooling methods on real-world datasets demonstrates our model’s superior performance, validating its effectiveness in addressing the complexities inherent in heterogeneous graph-level classification.