bluuebunny/crossref_metadata_2025_split huggingface dataset:
Groupers and moray eels (GME) optimization: a nature-inspired metaheuristic algorithm for solving complex engineering problems
Authors: Mansour Nehal A. , Saraya M. Sabry , Saleh Ahmed I. 
Published: November 2024

Abstract
As engineering technology advances and the number of complex engineering problems increases, there is a growing need to expand the abundance of swarm intelligence algorithms and enhance their performance. It is crucial to develop, assess, and hybridize new powerful algorithms that can be used to deal with optimization issues in different fields. This paper proposes a novel nature-inspired algorithm, namely the Groupers and Moray Eels (GME) optimization algorithm, for solving various optimization problems. GME mimics the associative hunting between groupers and moray eels. Many species, including chimpanzees and lions, have shown cooperation during hunting. Cooperative hunting among animals of different species, which is called associative hunting, is extremely rare. Groupers and moray eels have complementary hunting approaches. Cooperation is thus mutually beneficial because it increases the likelihood of both species successfully capturing prey. The two predators have complementary hunting methods when they work together, and an associated hunt creates a multi-predator attack that is difficult to evade. This example of hunting differs from that of groups of animals of the same species due to the high level of coordination among the two species. GME consists of four phases: primary search, pair association, encircling or extended search, and attacking and catching. The behavior characteristics are mathematically represented to allow for an adequate balance between GME exploitation and exploration. Experimental results indicate that the GME outperforms competing algorithms in terms of accuracy, execution time, convergence rate, and the ability to locate all or the majority of local or global optima.
Anti-integrin αvβ6 autoantibody in primary sclerosing cholangitis: a Japanese nationwide study
Authors: Yasuda Muneji , Shiokawa Masahiro , Kuwada Takeshi , Nishikawa Yoshihiro , Nakanishi Risa , Takimoto Ikuhisa , Chikugo Koki , Yokode Masataka , Muramoto Yuya , Matsumoto Shimpei , Nakamura Takeharu , Ota Sakiko , Matsumori Tomoaki , Kuroda Keiko , Hachiya Takahisa , Yamazaki Hajime , Uza Norimitsu , Kodama Yuzo , Chiba Tsutomu , Fujisawa Toshio , Komori Atsumasa , Abe Masanori , Yamaguchi Izumi , Matsuda Fumihiko , Isayama Hiroyuki , Tanaka Atsushi , Seno Hiroshi ,   on behalf of the Japan PSC Study Group (JPSCSG)
Published: November 2024

Abstract
Background
Although specific biomarkers for primary sclerosing cholangitis (PSC) are required, no such biomarkers have been identified. We previously reported that patients with PSC had anti-integrin αvβ6 autoantibodies at only two hospitals. In this study, we aimed to validate the accuracy of the autoantibodies in diagnosing PSC using the newly developed Anti-integrin αvβ6 enzyme-linked immunosorbent assay (ELISA) Kit, which enables quantitation and comparison of antibodies among different facilities.

Methods
Overall, 81 patients with PSC in a Japanese PSC registry recruited from 17 medical centers and hospitals, and 358 controls were enrolled. We retrospectively assessed anti-integrin αvβ6 autoantibodies using the Anti-integrin αvβ6 ELISA Kit and in-house ELISA.

Results
Anti-Integrin αvβ6 ELISA Kit and in-house ELISA exhibited a significant correlation (r = 0.97, P < 0.001). Anti-integrin αvβ6 autoantibodies were detected in 67 of 81 (82.7%) patients with PSC and 20 of 358 (5.6%) controls, resulting in a sensitivity of 82.7% and specificity of 94.4% for PSC, using the anti-integrin αvβ6 ELISA Kit. When focusing on the presence or absence of inflammatory bowel disease (IBD), the sensitivities for PSC with ulcerative colitis, Crohn’s disease, unclassified-IBD, and without IBD were 97.8% (43/44), 100% (1/1), 80.0% (8/10), and 53.8% (7/13), respectively. Antibody concentrations were significantly higher in PSC patients without IBD than in controls (P < 0.001).

Conclusions
We validated that anti-integrin αvβ6 autoantibodies have high sensitivity and specificity for diagnosing PSC. This study provides further evidence that anti-integrin αvβ6 autoantibodies are a useful biomarker for diagnosing PSC.
Real-world outcomes of avelumab plus axitinib in patients with advanced renal cell carcinoma in Japan: long-term follow-up from the J-DART2 retrospective study
Authors: Kato Taigo , Furukawa Junya , Hinata Nobuyuki , Ueda Kosuke , Hara Isao , Hongo Fumiya , Mizuno Ryuichi , Okamoto Teppei , Okuno Hiroshi , Ito Takayuki , Kajita Masahiro , Oya Mototsugu , Tomita Yoshihiko , Shinohara Nobuo , Eto Masatoshi , Uemura Hirotsugu 
Published: November 2024

Abstract
Background
Avelumab + axitinib was approved for advanced renal cell carcinoma (aRCC) in Japan in December 2019. We report long-term real-world outcomes with first-line avelumab + axitinib from the J-DART2 study in Japan.

Methods
J-DART2 was a multicenter, noninterventional, retrospective study examining clinical data from patients with curatively unresectable locally advanced or metastatic RCC who started treatment with first-line avelumab + axitinib in Japan between December 2019 and October 2022. Endpoints included patient characteristics, treatment patterns, and outcomes.

Results
Data from 150 patients across 19 sites were analyzed; median follow-up was 18.7 months (95% CI, 16.3–20.6 months). Median age was 70.5 years; 26.0% of patients were aged ≤64 years, 42.7% were aged 65–74 years, and 31.3% were aged ≥75 years. International Metastatic RCC Database Consortium risk was favorable in 26.0%, intermediate in 54.7% (1 risk factor in 30.7%; 2 risk factors in 24.0%), and poor in 19.3% of patients. Median progression-free survival (PFS) was 17.1 months, with 1- and 2-year PFS rates of 57.7% and 37.5%, respectively. Median overall survival (OS) was not reached, with 1- and 2-year OS rates of 90.6% and 84.7%, respectively. Objective response rate was 53.3%; disease control rate was 88.9%. Outcomes were similar across age groups, including patients aged ≥75 years.

Conclusions
J-DART2 is the largest retrospective study to report long-term real-world outcomes in patients with aRCC treated with avelumab + axitinib in Japan. Findings were similar to those observed in previous studies and support the benefit of avelumab + axitinib in clinical practice in Japan.
Electronic patient-reported outcomes as digital therapeutics for patients with cancer: a narrative review of current practices and future directions
Authors: Yamaguchi Ken , Higashiyama Nozomi , Umemiya Maki , Inayama Yoshihide , Koike Ayami , Ueda Akihiko , Mizuno Rin , Taki Mana , Yamanoi Koji , Murakami Ryusuke , Hamanishi Junzo , Mandai Masaki 
Published: November 2024

AbstractImproved cancer treatment outcomes have increased the demand for medical care that considers the quality of life of patients with cancer. Patient-reported outcomes (PROs) help assess the quality of life because they involve direct evaluation of the patients. Recently, electronic PROs (ePROs) have been used in clinical cancer care settings in Europe and the United States. Electronic PROs positively affected communication between patients with cancer and healthcare providers, enhanced education, optimized self-management, contributed to healthcare economics, assisted in monitoring adverse events, and improved prognosis. However, challenges such as adherence, burden on healthcare providers, lack of personalized formats, low digital literacy, and implementation costs remain. Therefore, carefully selecting the items to be recorded by ePROs in alignment with specific objectives is essential. Additionally, developing systems using lifelogs—digital records of daily activities—and creating mechanisms that automatically encourage patient behavioral changes based on the reported data are crucial. This review delineates the advantages and challenges of ePROs according to their history and proposes the prospects of ePRO.
Optimal investment strategies under the relative performance in jump-diffusion markets
Authors: Aydoğan Burcu , Steffensen Mogens 
Published: November 2024

AbstractWe work on a portfolio management problem for one agent and a large group of agents under relative performance concerns in jump-diffusion markets with the CRRA utility function. Herein, we define two wealth dynamics: the agent’s and the group’s wealth. We measure the performances of both the agent and the group with preferences linked to the group performance. Therefore, we have stochastic optimal control problems for both the representative agent and the group to determine what the group does and the agent’s optimal proportion in the portfolio relative to the group’s performance. Further, our framework assumes that the agent’s performance does not affect the group, while the group affects the agent’s utility. Moreover, we investigate special cases where all agents in the market are homogeneous in their risk aversion and relative performances. We explore the qualitative behavior of the agent and show some numerical results depending on her relative performance consideration and risk tolerance degree.
Incremental model transformations with triple graph grammars for multi-version models and multi-version pattern matching
Authors: Barkowsky Matthias , Giese Holger 
Published: November 2024

AbstractLike conventional software projects, projects in model-driven software engineering require adequate management of multiple versions of development artifacts, importantly allowing living with temporary inconsistencies. In previous work, we have introduced multi-version models for model-driven software engineering, which allow checking well-formedness and finding merge conflicts for multiple versions of the same model at once. However, situations where different models are linked via automatic model transformations also have to be handled for multi-version models. In this paper, we propose a technique for jointly handling the transformation of multiple versions of a source model into corresponding versions of a target model. This enables the use of a more compact representation that may afford improved execution time of both the transformation and further analysis. Our approach is based on the well-known formalism of triple graph grammars and the aforementioned encoding of model version histories called multi-version models. In addition to batch transformation of an entire history, the technique covers incremental synchronization of changes in the framework of multi-version models. Our solution is complemented by a dedicated pattern matching technique for multi-version models. We show the correctness of our approach with respect to the standard semantics of triple graph grammars and conduct an empirical evaluation to investigate the performance of our technique regarding execution time and memory consumption. Our results indicate that the proposed solution affords lower memory consumption and may improve execution time for batch transformation of large version histories, but can also come with computational overhead in unfavorable cases.
Applying and benchmarking a stochastic programming-based bidding strategy for day-ahead hydropower scheduling
Authors: Fleten Kristine Klock , Aasgård Ellen Krohn , Xing Liyuan , Grøttum Hanne Høie , Fleten Stein-Erik , Gundersen Odd Erik 
Published: November 2024

AbstractAneo is one of the first Nordic power companies to apply stochastic programming for day-ahead bidding of hydropower. This paper describes our experiences in implementing, testing, and operating a stochastic programming-based bidding method aimed at setting up an automated process for day-ahead bidding. The implementation process has faced challenges such as generating price scenarios for the optimization model, post-processing optimization results to create feasible and understandable bids, and technically integrating these into operational systems. Additionally, comparing the bids from the new stochastic-based method to the existing operator-determined bids has been challenging, which is crucial for building trust in new procedures. Our solution is a rolling horizon comparison, benchmarking the performance of the bidding methods over consecutive two-week periods. Our benchmarking results show that the stochastic method can replicate the current operator-determined bidding strategy. However, additional work is needed before we can fully automate the stochastic bidding setup, particularly in addressing inflow uncertainty and managing special constraints on our watercourses.
Clinical and pathologic characteristics of inflamed juvenile conjunctival nevus and its treatment with immunosuppressant eye drops
Authors: Tomoda Ayako , Araki-Sasaki Kaoru , Obata Hiroto , Ideta Shinji , Kuroda Masahiko , Fujita Koji , Osakabe Yasuhiro , Takahashi Kanji 
Published: November 2024

Abstract

Purpose
To clarify the clinical and pathologic findings of 7 patients with inflamed juvenile conjunctival nevus (IJCN) treated with tacrolimus.

Study design
Retrospective study.

Subjects and Methods
The medical records of 7 male patients diagnosed with IJCN between February 2007 and October 2022 at the Kansai Medical University Hospital and Ideta Eye Hospital were retrospectively reviewed. The patients’ mean age was 11.3 (8–20) years, and the average follow-up period was 18 months. The patients underwent anterior segment optical coherence tomography (AS-OCT) and anterior segment optical coherence tomography angiography (AS-OCTA). All the patients were treated with steroids or immunosuppressant eye drops, or both. Histopathologic examinations were performed on specimens resected from 2 patients.

Results
The clinical characteristics of IJCN were as follows: (1) presence of cysts within a pigmented conjunctival mass, (2) tumor accompanied by feeder vessels, and (3) predominantly found in boys with allergic diseases. AS-OCT and AS-OCTA revealed the presence of a cystic structure with poor vascular signals within it and numerous vessels distributed on the sclera underlying the lesion. Immunosuppressant eye drops relieved the congestion, diminished the inflow vessels, and induced shrinkage of the cysts in all the patients. Histopathologic examinations revealed infiltration of inflammatory cells such as lymphocytes and macrophages and low proliferative activity of melanocytes with no division pattern.

Conclusions
This study clarified the clinical and histologic characteristics of IJCN. Noninvasive AS-OCT and AS-OCTA might be useful for diagnosing IJCN. The histopathologic findings of this study indicate that immunosuppressive and antiallergic agents can effectively bring about disease remission.
Team science in interdisciplinary health professions education research: a multi-institutional case study
Authors: Gesing Peggy , Tornwall Joni , Kulo Violet , McBrien Sarah , Hoang Thuha , Jun Hyun-Jin , Burbage Amanda , Jia Yuane , Cestone Christina 
Published: November 2024

AbstractThe interdisciplinary nature of health professions education requires exploration of problems by interdisciplinary research teams. Drawing on the Dynamics of Cross-disciplinary Research Development conceptual framework, this study explores the processes and experiences of an interdisciplinary research team, identifying elements of successful collaboration. Case study data were collected from a team of nine researchers from six universities. Data included meeting minutes and researcher reflections. Researcher reflection and meeting minute themes converged within the framework constructs: Contexts and inputs, social learning processes, social capital outcomes, and knowledge and human capital outcomes. This study provides a blueprint for interdisciplinary researchers indicating that successful collaboration starts with transparent, distributed leadership. The convergence of data illustrates how social learning processes, social capital outcomes, and knowledge and human capital outcomes facilitate research team outcomes.
A systematic literature review of recent advances on context-aware recommender systems
Authors: Mateos Pablo , Bellogín Alejandro 
Published: November 2024

AbstractRecommender systems are software mechanisms whose usage is to offer suggestions for different types of entities like products, services, or contacts that could be useful or interesting for a specific user. Other ways have been explored in the field to enhance the power of these systems by integrating the context as an additional attribute. This inclusion tries to extract the user preferences more accurately taking into account multiple components such as temporal, spatial, or social ones. Notwithstanding the magnitude of context-awareness in this area, the research community is in agreement with the lack of framework for context information and how to integrate it into recommender systems. Under this premise, this paper focuses on a comprehensive systematic literature review of the state-of-the-art recommendation techniques and their characteristics to benefit from contextual information. The following survey presents the following contributions as outcomes of our study: (i) determine a framework where multiple aspects are taken into account to have a clear definition of context representation, (ii) the techniques used to incorporate context, and (iii) the evaluation of these methods in terms of reproducibility and effectiveness. Our review also covers some crucial topics about context integration, classification of the contexts, application domains, and evaluation of the used datasets, metrics, and code implementations, where we observed clear shiftings in algorithmic and evaluation trends towards Neural Network approaches and ranking metrics, respectively. Just as importantly, future research opportunities and directions are exposed as final closure, standing out the exploitation of various data sources and the scalability and customization of existing solutions.
3-Preprojective Algebras of Type D
Authors: Haden Jordan 
Published: November 2024

Abstract
We present a family of selfinjective algebras of type D, which arise from the 3-preprojective algebras of type A by taking a

$$\mathbb {Z}_3$$

Z
3

-quotient. We show that a subset of these are themselves 3-preprojective algebras, and that the associated 2-representation-finite algebras are fractional Calabi-Yau. In addition, we show our work is connected to modular invariants for SU(3).
Biodiversity skepticism and measurement practices
Authors: Bocchi Federica 
Published: November 2024

AbstractThis paper challenges “biodiversity skepticism:” an inferential move that acknowledges the proliferation, heterogeneity, and lack of covariance of biodiversity measurements, and concludes that we should doubt the scientific validity of the biodiversity concept. As a way out of skepticism, philosophers have advocated for eliminating “biodiversity” from scientific inquiry, revising it, or deflating its meaning into a single measurable dimension. I present a counterargument to the inferential move of the skeptic by revealing how it stands on two unstated premises, namely a reflective view of measurements and the unidirectional dynamics between definitional and measurement practices, and corollary assumptions. These premises and assumptions are misaligned with a richer theoretical understanding of measurement and are sometimes inconsistent with how science operates. A more nuanced view of measurement could better explain measurement proliferation while being consistent with new ways in which the general biodiversity concept could be useful. To conclude, I urge philosophers of measurement and conceptual engineers to collaborate in tackling the interplay between conceptual change and measurement practices.
Online Therapy for Children: Yay or Nay? Clinicians’ Insights from the COVID-19 Era
Authors: Hagyari-Donaldson Paulina , Scott Nicola 
Published: November 2024

Abstract
Background
The COVID-19 pandemic necessitated an almost overnight shift in mental healthcare from in-person to remote delivery. However, the feasibility of online therapy for children and its potential as a long-term fixture remain underexplored.

Objective
This study aimed to explore the advantages, disadvantages, and suitability of online therapy for children, as perceived by pediatric clinicians delivering remote psychological interventions during the COVID-19 pandemic.

Method
Six qualified child psychologists with limited pre-pandemic online therapy experience were surveyed about their perspectives on online therapy for children using a qualitative descriptive approach. Data was analyzed using thematic network analysis.

Results
Analysis revealed themes relating to: issues encountered in the areas of technology, resource availability, and therapeutic alliance; perceived advantages in children being digital natives, and online therapy’s wide accessibility; and (un)suitability of specific client profiles and therapeutic techniques.

Conclusions
Psychological interventions delivered via videoconferencing are not suitable for all children, but can be greatly beneficial for some. Client- and intervention-specific findings from this study can be used to guide future research aimed at clinical practice, developing tailored approaches, and informing policy for improving access to pediatric mental healthcare.
Examining the Transition from Single Words to Phrase Speech in Children with ASD: A Systematic Review
Authors: Byrne Katherine , Sterrett Kyle , Lord Catherine 
Published: November 2024

Abstract“Functional speech” by 5 years of age is widely established as increasing the probability of long-term positive outcomes across a range of domains for autistic individuals. While terms such as “functional” or “useful” speech are often used, what defines these terms is not well established. Furthermore, most research focusing on language development has emphasized the transition from little or no language to use of single words, but much less is known about the transition from single words to phrase speech, which could be equally important. The verb lexicon is foundational to the development of simple, generative phrases and has been linked to prosocial behaviors and general developmental outcomes including better social communication skills, socioemotional reciprocity, and nonverbal communication in autistic children. The current systematic review synthesized information from 20 independent samples to characterize autistic children who transitioned from single words to phrase speech. On average, 48% of the pooled sample transitioned to phrase speech during the study periods. Results were highly variable across studies. Participants under the age of 5 years were more likely to transition to phrases than participants over the age of 5. Though average standard scores were above 50, children who transitioned to phrases generally demonstrated below average adaptive and cognitive skills and moderate-high ASD symptomatology. Variable measures of cognition made it difficult to ascertain patterns in cognitive skills; nonetheless, nonverbal IQ emerged as a salient predictor of the transition to phrases across studies. More research is needed to better understand who transitions beyond single words, clinical benchmarks on the way to generative phrase speech and the factors that predict this transition. Such information can be used to inform clinical decision making and develop or improve targeted interventions based on individual communication profiles. This could make the use of phrases more likely for a greater number of autistic individuals, increasing the likelihood that these individuals communicate independently and effectively with others.