bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term outcomes of robot-assisted laparoscopic surgery versus conventional laparoscopic surgery for rectal cancer: single-center, retrospective, propensity score analyses
Authors: Mazaki Junichi , Ishizaki Tetsuo , Kuboyama Yu , Udo Ryutaro , Tago Tomoya , Kasahara Kenta , Yamada Tesshi , Nagakawa Yuichi 
Published: April 2024

AbstractAlthough the short-term outcomes of robot-assisted laparoscopic surgery (RALS) for rectal cancer are well known, the long-term oncologic outcomes of RALS compared with those of conventional laparoscopic surgery (CLS) are not clear. This study aimed to compare the long-term outcomes of RALS and CLS for rectal cancer using propensity score matching. This retrospective study included 185 patients with stage I–III rectal cancer who underwent radical surgery at our institute between 2010 and 2019. Propensity score analyses were performed with 3-year overall survival (OS) and relapse-free survival (RFS) as the primary endpoints. After case matching, the 3-year OS and 3-year RFS rates were 86.5% and 77.9% in the CLS group and 98.4% and 88.5% in the RALS group, respectively. Although there were no significant differences in OS (p = 0.195) or RFS (p = 0.518) between the groups, the RALS group had slightly better OS and RFS rates. 3-year cumulative (Cum) local recurrence (LR) and 3-year Cum distant metastasis (DM) were 9.7% and 8.7% in the CLS group and 4.5% and 10.8% in the RALS group, respectively. There were no significant differences in Cum-LR (p = 0.225) or Cum-DM (p = 0.318) between the groups. RALS is a reasonable surgical treatment option for patients with rectal cancer, with long-term outcomes similar to those of CLS in such patients.
Retention rates and reasons for non-retention in exercise oncology trials in the post-treatment phase—a systematic review
Authors: Hu S. , Guinan E. , Mockler D. , O’Neill L. 
Published: April 2024

Abstract
Purpose
Retention is a key marker of trial success. Poor retention can induce bias, reduce statistical power and minimise the validity of trials. This review examined retention rates in exercise trials in cancer survivors, reasons for non-retention and retention strategies utilised.

Methods
A systematic review was conducted using a predefined search strategy in EMBASE RCTs, MEDLINE OVID, CINAHL, Web of Science—Core Collection and Cochrane Central Register of Controlled Trials (CENTRAL). The search was conducted on 27/03/2023. Title and abstract screening, full text review and data extraction were completed in duplicate.

Results
Of 17,524 studies identified, 67 trials involving 6093 participants were included. The median overall retention rate immediately post-intervention was 89.85%, range (52.94–100%) and mean 87.36% (standard deviation 9.89%). Trials involving colorectal cancer survivors only had the highest median retention rate (94.61%), followed by breast (92.74%), prostate (86.00%) and haematological cancers (85.49%). Studies involving mixed cancer cohorts had the lowest retention rate (80.18%). The most common retention strategies were wait-list control groups, regular check-ins/reminders and free exercise equipment. Common reasons for non-retention were lost to follow-up, health problems, personal reasons including family/work commitments and travel burden, and disease progression.

Conclusions
Retention rates in exercise oncology trials are approximately 90% immediately post-interventions. Our previous work highlighted variable suboptimal recruitment rates of median 38% (range 0.52–100%). Recruitment rather than retention should be prioritised for methodology research in exercise oncology.

Implications for cancer survivors
Optimising the quality of exercise oncology trials is critical to informing high quality survivorship care.
PROSPERO registration number: CRD42023421359.
Blaschke Products and Convolutions with a Slanted Generalized Half-Plane Harmonic Mapping
Authors: Muir Stacey 
Published: April 2024

AbstractIt is known that if the convolution of two suitably normalized planar harmonic mappings from certain families of mappings, such as those mapping into a half-plane or a strip, is locally univalent, the convolution is univalent and convex in one direction. After extending this to convolutions of mappings into a slanted half-plane with those into a slanted asymmetric strip, we prove properties for the dilatation of the convolution of a mapping from a family of slanted generalized right half-plane mappings with mappings into a slanted half-plane or a slanted asymmetric strip with a finite Blaschke product dilatation. The properties lay the foundation for a direct application of polynomial zero distribution techniques in the determination of local univalence of such convolutions. We conclude by producing a family of univalent convolutions convex in one direction between a slanted generalized right half-plane mapping and a mapping into a half-plane with a two-factor Blaschke product dilatation.
Optimising oncology drug expenditure in Ireland
Authors: Kieran Ruth , Hennessy Maeve , Coakley Kate , O’Sullivan Hazel , Cronin Tim , Lynch Daire , Mulroe Eibhlin , Cooke Katie , Collins Dearbhaile , O’Reilly Seamus 
Published: April 2024

AbstractA combination of improvements in patient survival, increasing treatment duration, and the development of more expensive agents has led to a doubling of per-capita spending on cancer medicines in Ireland (2008–2018). Despite this, access to new drugs is poor in comparison to other EU countries. We examine methods to optimise oncology drug spending to facilitate access to newer anticancer agents. Key targets for spending optimisation (biosimilar use, clinical trials and expanded access programs, waste reduction, avoidance of futile treatment, and altered drug scheduling) were identified through an exploratory analysis. A structured literature search was performed, with a focus on articles relevant to the Irish Healthcare system, supplemented by reports from statutory bodies. At the present time, EMA-approved agents are available once approved by the NCPE. Optimising drug costs occurs through guideline-based practice and biosimilar integration, the latter provides €80 million in cost savings annually. Access to novel therapies can occur via over 50 clinical trials and 28 currently available expanded access programmes. Additional strategies include reversion to weight-based immunotherapy dosing, potentially saving €400,000 per year in our centre alone, vial sharing, and optimisation of treatment schedules. A variety of techniques are being employed by oncologists to optimise costs and increase access to innovation for patients. Use of biosimilars, drug wastage, and prescribing at end of life should be audited as key performance indicators, which may lead to reflective practice on treatment planning. Such measures could further optimise oncology drug expenditure nationally facilitating approval of new agents.
What are Mental Disorders? Exploring the Role of Culture in the Harmful Dysfunction Approach
Authors: Brinkmann Svend 
Published: April 2024

AbstractA shared problem in psychology, psychiatry, and philosophy is how to define mental disorders. Various theories have been proposed, ranging from naturalism to social constructionism. In this article, I first briefly introduce the current landscape of such theories, before concentrating on one of the most influential approaches today: The harmful dysfunction theory developed by Jerome Wakefield. It claims that mental disorders are hybrid phenomena since they have a natural basis in dysfunctional mental mechanisms, but also a cultural component in the harm experienced by human beings. Although the theory is well thought through, I will raise a critical question: Is it possible to isolate mental mechanisms as naturally evolved from cultural factors? I will argue that it is not, but that the theory could still be helpful in an understanding of mental disorders, albeit on a new footing that does not operate with a natural and a cultural component as two separate factors. I argue that we need to develop a “naturecultural” approach to psychopathology that avoids mentalism, based on the fact that human beings are irreducibly persons.
Revisiting Maher’s One-Factor Theory of Delusion, Again
Authors: Sullivan-Bissett Ema , Noordhof Paul 
Published: April 2024

AbstractChenwei Nie ([22]) argues against a Maherian one-factor approach to explaining delusion. We argue that his objections fail. They are largely based on a mistaken understanding of the approach (as committed to the claim that anomalous experience is sufficient for delusion). Where they are not so based, they instead rest on misinterpretation of recent defences of the position, and an underestimation of the resources available to the one-factor theory.
Mild Therapeutic Hypothermia Alleviated Myocardial Ischemia/Reperfusion Injury via Targeting SLC25A10 to Suppress Mitochondrial Apoptosis
Authors: Ma Senlin , Song Yun , Xu Yanxin , Wang Chao , Yang Yifan , Zheng Yanchao , Lu Qiuxin , Chen Qingjiang , Wu Jian , Wang Bin , Chen Mingquan 
Published: April 2024

AbstractMyocardial ischemia/reperfusion injury (MI/RI) is identified as a severe vascular emergency, and the treatment strategy of MI/RI still needs further improvement. The present study aimed to investigate the potential effects of mild therapeutic hypothermia (MTH) on MI/RI and underlying mechanisms. In ischemia/reperfusion (I/R) rats, MTH treatment significantly improved myocardial injury, attenuated myocardial infarction, and inhibited the mitochondrial apoptosis pathway. The results of proteomics identified SLC25A10 as the main target of MTH treatment. Consistently, SLC25A10 expressions in I/R rat myocardium and hypoxia and reoxygenation (H/R) cardiomyocytes were significantly suppressed, which was effectively reversed by MTH treatment. In H/R cardiomyocytes, MTH treatment significantly improved cell injury, mitochondrial dysfunction, and inhibited the mitochondrial apoptosis pathway, which were partially reversed by SLC25A10 deletion. These findings suggested that MTH treatment could protect against MI/RI by modulating SLC25A10 expression to suppress mitochondrial apoptosis pathway, providing new theoretical basis for clinical application of MTH treatment for MI/RI.
Graphical Abstract
Gemeinsinn in Praktiken des olympischen Spitzensports
Authors: Jaitner David , Arenz Tobias 
Published: April 2024

ZusammenfassungGemeinsinn (lat. sensus communis) ist eine wesentliche Voraussetzung für die Realisierung von (Leistungs‑)Gerechtigkeit, die sich im olympischen Spitzensport als Fairness artikuliert. In diesem Beitrag zeigen wir anhand von empirischen Fällen aus dem Bereich des Schwimmens und Fußballs, wie Gemeinsinn in spitzensportlichen Praktiken eine implizite Orientierung stiftet. Dieser latente Bedeutungsgehalt wird typisierend mit Hilfe der Dokumentarischen Methode in narrativen Interviewdaten rekonstruiert. Dazu wird eine Heuristik des Gemeinsinns zu Grunde gelegt, die soziale und politische Momente vereint und die praktische Verbundenheit der sozialen Akteure in vier Dimensionen rahmt („Athlet*in-Sein“, „Miteinander Trainieren“, „Gegeneinander Wettkämpfen“, „Sportpolitische Aktivitäten“). Im Ergebnis einer komparativen Fallanalyse zeigen sich vier Typen des Gemeinsinns („Erfolg“, „Gemeinschaft“, „Willkür“, „Gerechtigkeit“), die Unterschiede in der Realisierung von Leistungsgerechtigkeit über die Grenzen von Sportarten hinaus verstehbar machen und einen erkenntniserweiternden Zugang zur Diskussion um die Normativität des modernen Sports bereitstellen.
Online Measurement for Parameter Discovery in Fused Filament Fabrication
Authors: Read Jake Robert , Seppala Jonathan E. , Tourlomousis Filippos , Warren James A. , Bakker Nicole , Gershenfeld Neil 
Published: April 2024

Abstract
To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying flow rates and temperatures for a given machine and material configuration. We then develop a method to extract real parameters for flow rate and temperature using relative pressures and temperature offsets. Our method allows us to successfully find process parameters, using one set of input parameters, across all of the machine and material configurations that we tested, even in materials that we had never printed before. Rather than using direct parameters in FFF printing, which is time-consuming to tune and modify, it is possible to deploy machine-generated data that captures the fundamental phenomenology of FFF to automatically select parameters.
Understanding the Neurodiversity of Grief: A Systematic Literature Review of Experiences of Grief and Loss in the Context of Neurodevelopmental Disorders
Authors: Mair Ally Pax Arcari , Nimbley Emy , McConachie Doug , Goodall Karen , Gillespie-Smith Karri 
Published: April 2024

AbstractThis systematic review explores lived experiences of grief in the context of neurodevelopmental disorders (NDDs), considering mental health impacts and how these experiences are expressed/understood. Reviewing qualitative research and grey literature centred on lived experience, 39 articles were identified through a systematic search of 8 databases and 1 page-ranked search engine. The articles were critically appraised, and results synthesised using thematic analysis and meta-synthesis. Four main themes and an overarching theme, titled Recognise the Unrecognised, emerged: Hidden Grief, Supported and Included, Understanding My Loss, and The Double Taboo of Death and Disability. The results indicate that grief often goes unrecognised in individuals with NDDs, especially following non-death losses. The implications of these findings and recommendations for future research are discussed.
Fairness optimisation with multi-objective swarms for explainable classifiers on data streams
Authors: Pham Diem , Tran Binh , Nguyen Su , Alahakoon Damminda , Zhang Mengjie 
Published: April 2024

AbstractRecently, advanced AI systems equipped with sophisticated learning algorithms have emerged, enabling the processing of extensive streaming data for online decision-making in diverse domains. However, the widespread deployment of these systems has prompted concerns regarding potential ethical issues, particularly the risk of discrimination that can adversely impact certain community groups. This issue has been proven to be challenging to address in the context of streaming data, where data distribution can change over time, including changes in the level of discrimination within the data. In addition, transparent models like decision trees are favoured in such applications because they illustrate the decision-making process. However, it is essential to keep the models compact because the explainability of large models can diminish. Existing methods usually mitigate discrimination at the cost of accuracy. Accuracy and discrimination, therefore, can be considered conflicting objectives. Current methods are still limited in controlling the trade-off between these conflicting objectives. This paper proposes a method that can incrementally learn classification models from streaming data and automatically adjust the learnt models to balance multi-objectives simultaneously. The novelty of this research is to propose a multi-objective algorithm to maximise accuracy, minimise discrimination and model size simultaneously based on swarm intelligence. Experimental results using six real-world datasets show that the proposed algorithm can evolve fairer and simpler classifiers while maintaining competitive accuracy compared to existing state-of-the-art methods tailored for streaming data.
Double data piling: a high-dimensional solution for asymptotically perfect multi-category classification
Authors: Kim Taehyun , Chang Woonyoung , Ahn Jeongyoun , Jung Sungkyu 
Published: April 2024

AbstractFor high-dimensional classification, interpolation of training data manifests as the data piling phenomenon, in which linear projections of data vectors from each class collapse to a single value. Recent research has revealed an additional phenomenon known as the ‘second data piling’ for independent test data in binary classification, providing a theoretical understanding of asymptotically perfect classification. This paper extends these findings to multi-category classification and provides a comprehensive characterization of the double data piling phenomenon. We define the maximal data piling subspace, which maximizes the sum of pairwise distances between piles of training data in multi-category classification. Furthermore, we show that a second data piling subspace that induces data piling for independent data exists and can be consistently estimated by projecting the negatively-ridged discriminant subspace onto an estimated ‘signal’ subspace. By leveraging this second data piling phenomenon, we propose a bias-correction strategy for class assignments, which asymptotically achieves perfect classification. The present research sheds light on benign overfitting and enhances the understanding of perfect multi-category classification of high-dimensional discrimination with a help of high-dimensional asymptotics.
Addressing the Legal Void: Ensuring Justice for Adult Male Rape Victims in Bangladesh
Authors: Alam Md. Tanvir , Abbas Ahmad , Mutmainnah Iin , Tonny Sabrina Afrin 
Published: April 2024

AbstractThe objective of this study is to explore and determine the legal constraints related to adult male rape and the consequences as they exist in the Bangladeshi criminal justice system. Primary and secondary data sources for the study were derived from the narratives of adult male rape survivors, blood relatives of rape survivors, police officers, and legal practitioners. A snowball sampling technique was applied. The study reveals that there is an absence of a police-support response to adult male rape victims, which is attributable to the lack of a gender-neutral definition of rape. This legal definition vacuum diverts complainants to a range of other futile options, such as submitting a general diary and/or adjacent complaints and seeking assistance from other law enforcement agencies. Finally, this study demonstrates that the landscape of the Bangladeshi criminal justice system is likely to remain unchanged until its legal foundation is better developed.
CONSTITUTIONAL VALUES IN THE COMMON LAW OF OBLIGATIONS
Authors: Sales Philip 
Published: April 2024

ABSTRACT“Constitutional values” is a term which appears to relate to concepts of what is now called public law. By constitutional values, I mean the basic ideas and interests which structure relations between the individual and the state, and the obligations to which they give rise, which underlie the common law and to which it gives recognition in more or less articulated forms. These are ideas and interests such as liberty, private life, freedom of expression and access to justice. Constitutional values and human rights overlap, but they are not necessarily and always the same, either in content or in effect. In exploring this topic I hope to retrieve and bring to the surface an important aspect of the common law in terms of both private law and public law.
HOW DID HOMER'S TROILUS DIE?
Authors: Beck Bill 
Published: April 2024

AbstractThis article examines ancient depictions of the death of Troilus in art and literature and challenges the widespread belief that the Iliad implies an alternative version of the myth in which Troilus dies in battle. In particular, it argues that the death-in-battle interpretation is both insufficiently supported by the internal evidence and incompatible with the external evidence. Given the evident popularity of the story of Achilles’ ambush of Troilus in the Archaic period, it is hard to avoid the conclusion that the poet of the Iliad knew the story of Troilus’ death by ambush. That the poem's only reference to Troilus does not contradict this story, and possibly even alludes to it, should persuade critics of the strong likelihood that the popular story of Troilus’ ambush at the fountain was also the one in the poet's mind.
Carbon Dynamics of a Coastal Wetland Transitioning to Mangrove Forest
Authors: Yannick D. , Oberbauer S. , Staudhammer C. , Cherry J. , Starr G. 
Published: April 2024

AbstractCoastal wetlands play a vital role in the global carbon cycle and are under pressure from multiple anthropogenic influences. Altered hydrology and land use change increase susceptibility of wetlands to sea‐level rise, saltwater intrusion, tidal flood events, and storm surges. Flooding from perigean spring tides and storm surges rapidly inundates coastal wetlands with saline waters, quickly surpassing vegetation tolerances, leading to shifts in soil microbial respiration, peat collapse, and plant mortality, followed by establishment of salt‐tolerant vegetation. The Southeast Saline Everglades (SESE) is facing many of these pressures, making it a model system to examine the impacts of ecosystem state transitions and their carbon dynamics. Saltwater flooding from Hurricane Irma (2017) initiated a transitional state, where less salt‐tolerant vegetation (e.g., Cladium jamaicense) is declining, allowing halophytic species such as Rhizophora mangle to colonize, altering the ecosystem's biogeochemistry. We utilized eddy covariance techniques in the SESE to measure ecosystem fluxes of CO2 and CH4 in an area that is transitioning to an alternative state. The landward expansion of mangroves is increasing leaf area, leading to greater physiological activity and higher biomass. Our site was presented initially as a small C source (47.0 g C m−2) in 2020, and by 2022 was a sink (−84.24 g C m−2), with annual greenhouse carbon balance ranging from −0.04 to 0.18. Net radiative forcing ranged from 2.04 to 2.27 W m−2 d−1. As the mangrove landward margin expands, this may lead the area to become a greater carbon sink and a potential offset to increasing atmospheric CO2 concentrations.
Progression from ductal carcinoma in situ to invasive breast cancer: molecular features and clinical significance
Authors: Wang Jing , Li Baizhou , Luo Meng , Huang Jia , Zhang Kun , Zheng Shu , Zhang Suzhan , Zhou Jiaojiao 
Published: April 2024

AbstractDuctal carcinoma in situ (DCIS) represents pre-invasive breast carcinoma. In untreated cases, 25–60% DCIS progress to invasive ductal carcinoma (IDC). The challenge lies in distinguishing between non-progressive and progressive DCIS, often resulting in over- or under-treatment in many cases. With increasing screen-detected DCIS in these years, the nature of DCIS has aroused worldwide attention. A deeper understanding of the biological nature of DCIS and the molecular journey of the DCIS-IDC transition is crucial for more effective clinical management. Here, we reviewed the key signaling pathways in breast cancer that may contribute to DCIS initiation and progression. We also explored the molecular features of DCIS and IDC, shedding light on the progression of DCIS through both inherent changes within tumor cells and alterations in the tumor microenvironment. In addition, valuable research tools utilized in studying DCIS including preclinical models and newer advanced technologies such as single-cell sequencing, spatial transcriptomics and artificial intelligence, have been systematically summarized. Further, we thoroughly discussed the clinical advancements in DCIS and IDC, including prognostic biomarkers and clinical managements, with the aim of facilitating more personalized treatment strategies in the future. Research on DCIS has already yielded significant insights into breast carcinogenesis and will continue to pave the way for practical clinical applications.