bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diversity and turnover in moth assemblages in rainforests on a remote oceanic island
Authors: Kitching R. L. , Wenda C. , Rochat J. , Thébaud C. , Strasberg D. , Vogiatzis K. , Xing S. , Ashton L. A. 
Published: June 2024

AbstractSpatially driven turnover in species composition and relative abundance drives gamma diversity in all ecosystems. Assemblages of nocturnal Lepidoptera in rainforests are powerful tools for estimating and understanding this heterogeneity. There are three fundamental theoretical tools for explaining this place-to-place change: neutral stochasticity, niche-driven opportunity and historical contingency. We sampled moth and woody plant assemblages across the oceanic island landscape of La Réunion to tease apart how these factors shape diversity. We collected a total of ~ 13000 individuals of about 229 species and analyzed how distance and forest habitats shape moth assemblage turnover. We subdivided moth species into endemics and non-endemics. Our results show the local occurrence of the generally more diet-restricted endemic moths is more likely to be niche-driven due to host-plant preferences while occurrence of the generally more polyphagous non-endemic species is most parsimoniously explained by stochastic neutral mechanisms. Spatial patterns in the native flora may also be neutrally assembled sets across the rainforest region (with implications for native moth species) whereas introduced species reflect human-driven historical contingency.
Ramucirumab for advanced hepatocellular carcinoma in the current real world: a Japanese single-arm study post-REACH-2 (The R-evolution study)
Authors: Kobayashi Kazufumi , Ogasawara Sadahisa , Itobayashi Ei , Okubo Tomomi , Itokawa Norio , Nakamura Kazuyoshi , Moriguchi Michihisa , Watanabe Shunji , Ikeda Masafumi , Kuroda Hidekatsu , Kawaoka Tomokazu , Hiraoka Atsushi , Yasui Yutaka , Kuzuya Teiji , Sato Rui , Kanzaki Hiroaki , Koroki Keisuke , Inoue Masanori , Nakamura Masato , Kiyono Soichiro , Kanogawa Naoya , Kondo Takayuki , Nakamoto Shingo , Ozawa Yoshihito , Tsuchiya Kaoru , Atsukawa Masanori , Aikata Hiroshi , Aramaki Takeshi , Oka Shiro , Morimoto Naoki , Kurosaki Masayuki , Itoh Yoshito , Izumi Namiki , Kato Naoya 
Published: June 2024

SummaryThis study aimed to complement the results of the REACH-2 study by prospectively evaluating the safety and efficacy of ramucirumab in advanced hepatocellular carcinoma (HCC) in a real-world setting. This was an open-label, nonrandomized, multicenter, prospective study conducted at 13 institutions in Japan (jRCTs031190236). The study included Child–Pugh Class A patients with advanced HCC who had received pretreatment with atezolizumab plus bevacizumab (Atez/Bev) or lenvatinib. Ramucirumab was introduced as a second-line treatment after Atez/Bev or lenvatinib and as a third-line treatment after Atez/Bev and lenvatinib. Between May 2020 and July 2022, we enrolled 19 patients, including 17 who received ramucirumab. Additionally, seven patients received lenvatinib, another seven patients received Atez/Bev, and three patients received Atez/Bev followed by lenvatinib as prior treatment. The primary endpoint was a 6-month progression-free survival (PFS) rate, which was 14.3%. The median PFS and overall survival were 3.7 and 12.0 months, respectively. The most common grade ≥ 3 adverse events (AEs) were hypertension (23.5%), proteinuria (17.6%), and neutropenia (11.8%). The discontinuation rate due to AEs was 29.4%. Six patients progressed from Child–Pugh A to B after treatment with ramucirumab. Thirteen patients were eligible for post-ramucirumab treatment, including systemic therapy. Despite the limited number of patients, the efficacy of ramucirumab was comparable to that observed in the REACH-2 study when used after lenvatinib and Atez/Bev. However, the incidence of AEs was higher than that in the REACH-2 study.
Twenty-five years of surveillance for familial and hereditary pancreatic ductal adenocarcinoma: Historical perspectives and introduction to the special issue
Authors: Vasen Hans FA , Canto Marcia Irene , Goggins Michael 
Published: June 2024

AbstractIn the 1990s, as prevention became a central strategy in the battle against cancer and the molecular genetics revolution uncovered the genetic basis of numerous hereditary cancer syndromes, there were no options available for patients at increased risk of developing pancreatic cancer. When surveillance efforts for those at familial and hereditary risk of pancreatic cancer emerged in the late 1990s, it was uncertain if early detection was achievable.In this introduction to the special issue, we offer an overview of the history of surveillance for pancreatic cancer, including the first reports of familial pancreatic cancer in the medical literature, the initial results of surveillance in the United States and the initiation of surveillance programs for hereditary pancreatic cancer in the Netherlands.This special issue features a collection of 18 articles written by prominent experts in the field, focusing specifically on refining surveillance methodologies with the primary objective of improving care of high-risk individuals. Several reviews in this collection highlight improved survival rates associated with pancreas surveillance, underlying the potential of early detection and improved management in the continuing fight against pancreatic cancer.
Numerical simulation of Buongiorno's model on Maxwell nanofluid with heat and mass transfer using Arrhenius energy: a thermal engineering implementation
Authors: Jawad Muhammad , Alam Mubeen , Hameed Maria Kirn , Akgül Ali 
Published: June 2024

AbstractThe thermal features of nanoparticles owing to progressive mechanisms are a fascinating phenomenon due to their applications in energy production, cooling procedures, heat transmission devices. Therefore, in the present study, the magnetohydrodynamic combined convection of Maxwell nanofluid and characteristics of heat transport in the presence of thermal radiation with a nonlinear relationship for modifications in the energy equation have been examined. Moreover, the features of activation energy in the presence of swimming microorganisms are considered. For motivation, the influence of bioconvection, magnetic field, and thermophoresis with convective boundary conditions are part of this investigation. The governing PDEs connected with momentum, energy, concentration, and density are converted into ODEs by using similarity functions. A transformed, dimensionless, nonlinear set of ODEs is tracked via a shooting scheme. The numerical results of prominent parameters have been analyzed in the form of graphs and tables using the computational software MATLAB. A significance improvement in the velocity profile is noted for the increasing value of Maxwell parameter. With rise of mixed convection parameter, both energy and volumetric friction field deteriorated. The determination of Biot number that is associated with the coefficient of heat transfer is more effective for growing the temperature and volumetric friction distribution. These conclusions may be appreciated in improving the efficiency of heat transfer strategies.
Indignity of Nazi data: reflections on the utilization of illicit research
Authors: Farahani Iman , Janhonen Joel 
Published: June 2024

AbstractHuman rights may feel self-apparent to us, but less than 80 years ago, one of the most advanced countries at the time acted based on an utterly contrary ideology. The view of social Darwinism that abandoned the idea of the intrinsic value of human lives instead argued that oppression of the inferior is not only inevitable but desirable. One of the many catastrophic outcomes is the medical data obtained from inhuman experiments at concentration camps. Ethical uncertainty over whether the resulting insights should be a part of the medical literature provides a chance to consider the seemingly irreplaceable social construct of human dignity. Would any medical benefit justify the utilization of this illicit data? Would utilization even qualify as an insult to the dignity of the exploited subjects, or is this a question about intersubjective meaning? This work discusses the wisdom in blind adherence to human dignity, the possibility of retrospective insults, moral complicity, contrary viewpoints, and possible resolutions.
An algebraic characterization of binary CSS-T codes and cyclic CSS-T codes for quantum fault tolerance
Authors: Camps-Moreno Eduardo , López Hiram H. , Matthews Gretchen L. , Ruano Diego , San-José Rodrigo , Soprunov Ivan 
Published: June 2024

AbstractCSS-T codes were recently introduced as quantum error-correcting codes that respect a transversal gate. A CSS-T code depends on a CSS-T pair, which is a pair of binary codes $$(C_1, C_2)$$

(

C
1

,

C
2

)

such that $$C_1$$

C
1

contains $$C_2$$

C
2

, $$C_2$$

C
2

is even, and the shortening of the dual of $$C_1$$

C
1

with respect to the support of each codeword of $$C_2$$

C
2

is self-dual. In this paper, we give new conditions to guarantee that a pair of binary codes $$(C_1, C_2)$$

(

C
1

,

C
2

)

is a CSS-T pair. We define the poset of CSS-T pairs and determine the minimal and maximal elements of the poset. We provide a propagation rule for nondegenerate CSS-T codes. We apply some main results to Reed–Muller, cyclic and extended cyclic codes. We characterize CSS-T pairs of cyclic codes in terms of the defining cyclotomic cosets. We find cyclic and extended cyclic codes to obtain quantum codes with better parameters than those in the literature.
Can we trust machine learning to predict the credit risk of small businesses?
Authors: Bitetto Alessandro , Cerchiello Paola , Filomeni Stefano , Tanda Alessandra , Tarantino Barbara 
Published: June 2024

AbstractWith the emergence of Fintech lending, small firms can benefit from new channels of financing. In this setting, the creditworthiness and the decision to extend credit are often based on standardized and advanced machine-learning techniques that employ limited information. This paper investigates the ability of machine learning to correctly predict credit risk ratings for small firms. By employing a unique proprietary dataset on invoice lending activities, this paper shows that machine learning techniques overperform traditional techniques, such as probit, when the set of information available to lenders is limited. This paper contributes to the understanding of the reliability of advanced credit scoring techniques in the lending process to small businesses, making it a special interesting case for the Fintech environment.
Real-time scheduling for parallel tasks with resource reclamation
Authors: He Qingqiang , Sun Yongzheng , Jiang Xu , Lv Mingsong , Lee Jinkyu , Guan Nan 
Published: June 2024

AbstractThis paper considers the real-time scheduling of a parallel task with reclaiming computing resources, which can be utilized for soft real-time tasks or switching to low-energy mode to save energy. Existing works allocate a rectangular piece of computing resources based on the worst-case characterizations of the task to guarantee the deadline, which inherently incurs severe resource wasting due to coarse-grained resource allocation. To address this resource-wasting problem, this paper proposes the ladder-like resource allocation (i.e., a series of rectangular pieces of computing resources). To characterize the ladder-like resource allocation, we present two concepts called resource distribution and allocation vector, which serve as the interfaces between hard and soft real-time tasks. For the former, we derive schedulability tests under the given two interfaces; for the latter, we discuss the methods of determining the two interfaces to reclaim computing resources. This paper is the first work to fully explore the concept of ladder-like resource allocation and its potential consequences on computing resources, soft real-time tasks, and energy. Experiments demonstrate that the proposed approach can effectively reclaim more computing resources than existing approaches while maintaining hard real-time guarantees.
Exploring strategic corporate sustainability management in family businesses: A systematic literature review
Authors: Häußler Simone , Ulrich Patrick 
Published: June 2024

AbstractThe escalating demands from legislative authorities and stakeholders for companies to adopt corporate sustainability measures underscore the growing importance of strategic sustainability management. Despite the efforts made by companies in this domain, the strategic management of sustainability in family businesses remains an under-researched area. To address this gap, we conducted a systematic literature review covering the period from 2006 to 2022, on the topic of strategic sustainability management in family businesses. Our investigation encompasses a content analysis of 98 relevant studies. Our research question is: “What aspects are taken into account by family businesses in their corporate sustainability strategies?” We tackle this issue through a methodological triangulation of qualitative and quantitative methods. Our results yield three clusters of strategies for corporate sustainability in family businesses: (1) Family values and succession planning; Stakeholder relations and communication; (2) Risk taking, Inventions, and Technologies; and (3) Entrepreneurship and Intrapreneurship. In addition, we systematically present a range of descriptive indicators, including the research methodologies applied and the geographic focus of the published literature. This research contributes significant insights for scholars and practitioners alike, providing valuable guidance in this field. Moreover, our study paves the way for further investigations into the strategies that influence sustainability within the context of family businesses. By shedding light on this critical area, we aim to foster a more sustainable and informed approach to corporate practices among family-owned enterprises.
Management of Localized Melanoma in the Anti-PD-1 Era
Authors: Novis Elan , van Akkooi Alexander C. J. 
Published: June 2024

Abstract
Purpose of Review
The management of cutaneous melanoma has rapidly progressed over the past decade following the introduction of effective systemic therapies. Given the large number of recent clinical trials which have dramatically altered the management of these patients, an updated review of the current evidence regarding the management of localized melanoma is needed.

Recent Findings
The role of effective systemic therapies in earlier stages (I-III) melanoma, both in adjuvant and neoadjuvant settings is rapidly changing the role of surgery in the management cutaneous melanoma, particularly regarding surgical safety margins for wide local excision (WLE), the role of sentinel lymph node biopsy (SLNB) and the extent of lymph node dissections. The randomized phase 2 SWOG1801 trial has demonstrated superiority of neoadjuvant-adjuvant anti-PD1 therapy in improving event-free survival by 23% at 2-years over adjuvant anti-PD-1 therapy only. Furthermore, the PRADO trial has suggested a more tailored approach both the extent of surgery as well as adjuvant therapy can safely and effectively be done, depending on the response to initial neoadjuvant immunotherapy. These results await validation and it is expected that in 2024 the phase 3 Nadina trial (NCT04949113) will definitively establish neo-adjuvant combination immunotherapy as the novel standard. This will further redefine the management of localized melanoma.

Summary
The use of effective systemic therapies will continue to evolve in the next decade and, together with new emerging diagnostic and surveillance techniques, will likely reduce the extent of routine surgery for stage I-III melanoma.
Defending and Defining Environmental Responsibilities for the Health Research Sector
Authors: Pratt Bridget 
Published: June 2024

AbstractSix planetary boundaries have already been exceeded, including climate change, loss of biodiversity, chemical pollution, and land-system change. The health research sector contributes to the environmental crisis we are facing, though to a lesser extent than healthcare or agriculture sectors. It could take steps to reduce its environmental impact but generally has not done so, even as the planetary emergency worsens. So far, the normative case for why the health research sector should rectify that failure has not been made. This paper argues strong philosophical grounds, derived from theories of health and social justice, exist to support the claim that the sector has a duty to avoid or minimise causing or contributing to ecological harms that threaten human health or worsen health inequity. The paper next develops ideas about the duty’s content, explaining why it should entail more than reducing carbon emissions, and considers what limits might be placed on the duty.
Model-based prediction of water levels for the Great Lakes: a comparative analysis
Authors: Kurt Onur 
Published: June 2024

AbstractThis comprehensive study addresses the correlation between water levels and meteorological features, including air temperature, evaporation, and precipitation, to accurately predict water levels in lakes within the Great Lakes basin. Various models, namely multiple linear regression (MLR), nonlinear autoregressive network with exogenous inputs (NARX), Facebook Prophet (FB-Prophet), and long short-term memory (LSTM), are employed to enhance predictions of lake water levels. Results indicate that all models, except for FB-Prophet, perform well, particularly for Lakes Erie, Huron-Michigan, and Superior. However, MLR and LSTM show reduced performance for Lakes Ontario and St. Clair. NARX emerges as the top performer across all lakes, with Lakes Erie and Superior exhibiting the lowest error metrics—root mean square error (RMSE: 0.048 and 0.034), mean absolute error (MAE: 0.036 and 0.026), mean absolute percent error (MAPE: 0.021% and 0.014%), and alongside the highest R-squared value (R2: 0.977 and 0.968), respectively. Similarly, for Lake Huron-Michigan, NARX demonstrates exceptional predictive precision with an RMSE (0.029), MAE (0.022), MAPE (0.013%), and an outstanding R2 value of 0.995. Despite slightly higher error metrics, NARX consistently performs well for Lake Ontario. However, Lake St. Clair presents challenges for predictive performance across all models, with NARX maintaining relatively strong metrics with an RMSE (0.076), MAE (0.050), MAPE (0.029%), and R2 (0.953), reaffirming its position as the leading model for water level prediction in the Great Lakes basin. The findings of this study suggest that the NARX model accurately predicts water levels, providing insights for managing water resources in the Great Lakes region.
Remote Possibilities: Sermons as Religious Support during the COVID-19 Pandemic
Authors: Bankier-Karp Adina L. , Cooper Rebecca , Southcott Jane 
Published: June 2024

AbstractPsychological and sociological studies have reported that highly religious people have better mental health overall, which was also confirmed during the COVID-19 pandemic. Little investigation has been undertaken to understand the actual enablers of religious coping that contextualize these mental health results. Australian pulpit rabbis were invited to submit sermons delivered on the eve of the first Sabbath of the pandemic. These sermons were conceived as “artifacts” of religious support and Nancy Ammerman’s (2021) multidimensional model of lived religion—in particular, the narrative, embodied and moral dimensions—served as the conceptual framework for analysis. Religious support was evident in the sermons in the ways sacred texts and values were deployed to encourage shifts in conceptions associated with congregational gatherings and agency in private religious beliefs and behavior. By tapping in on faith in God, familiar religious concepts, and values, congregants were encouraged to abide by health directives, endure them, and sustain hope for a redemptive future. The contribution of this qualitative study lies in its identification of a dimension of religious support and how it assists people of faith during difficult times.
The MIP Workshop 2023 Computational Competition on reoptimization
Authors: Bolusani Suresh , Besançon Mathieu , Gleixner Ambros , Berthold Timo , D’Ambrosio Claudia , Muñoz Gonzalo , Paat Joseph , Thomopulos Dimitri 
Published: June 2024

AbstractThis paper describes the computational challenge developed for a computational competition held in 2023 for the $$20{\text {th}}$$

20
th

anniversary of the Mixed Integer Programming Workshop. The topic of this competition was reoptimization, also known as warm starting, of mixed integer linear optimization problems after slight changes to the input data for a common formulation. The challenge was to accelerate the proof of optimality of the modified instances by leveraging the information from the solving processes of previously solved instances, all while creating high-quality primal solutions. Specifically, we discuss the competition’s format, the creation of public and hidden datasets, and the evaluation criteria. Our goal is to establish a methodology for the generation of benchmark instances and an evaluation framework, along with benchmark datasets, to foster future research on reoptimization of mixed integer linear optimization problems.
A qualitative exploration of the impact of COVID-19 on families with a child under 5 years-old in the borough of Newham, East London
Authors: Mann Eliana , Wilson Emma , Heys Michelle , Cameron Claire , Rosenthal Diana Margot , Whitaker Lydia , Hauari Hanan , Hollingworth Katie , O’Toole Sarah 
Published: June 2024

Abstract
Aim
Families from socioeconomically deprived backgrounds appear to have been greatly impacted and face worsening inequalities as a result of the COVID-19 pandemic. With more than half of children in Newham, East London, living in poverty, this study aimed to investigate the impact of the COVID-19 lockdowns on families with a child under 5 years-old in Newham and identify their immediate needs to inform recovery efforts.

Subjects and methods
This was a qualitative study. Semi-structured interviews were conducted with 13 participants (2 fathers; 11 mothers) exploring the impact of the COVID-19 lockdowns on family life, neighbourhood and community and important relationships in the child’s world.

Results
All parents experienced significant impacts on family life and well-being because of the pandemic. Families were placed under increased stress and were concerned about the impacts on child development. Low-income families were most disadvantaged, experiencing lack of professional support, community engagement and inadequate housing.

Conclusion
Families were placed under increasing pressure during the pandemic and recovery efforts need to target those most affected, such as families from low-income households. Recovery efforts should target child social and language development, family mental health, professional service engagement and community involvement.