Unique Set Research Articles

Resolving spatially complex interactions between hydrodynamics and biogeochemical processing in a large reservoir with metalimnetic oxygen deficits

Deoxygenation in the deep water of stratified lakes and reservoirs due to climate warming and human activities poses a threat to crucial limnetic ecosystem services. Metalimnetic oxygen minima (MOM) typically occurs during the mid to late stages of limnetic stratification. To investigate the mechanism of MOM during stably stratified periods in the Panjiakou Reservoir, northern China, four years of in-situ monitoring was conducted in parallel with longitudinal-vertical 2D modeling. The model simulated the hydrodynamic, water quality, algal, and DO processes in 2017 and 2020, and was calibrated and verified by the measurements. Three scenarios were designed to test the impact of hydrological processes and the high oxygen-consuming sedimentation zones (HOCSZ). We concluded that the stratification and the corresponding advection generated in the metalimnion are the driving forces of MOM in the reservoir, and the limnetic eutrophication-related benthic HOCSZ are the seedbeds of the metalimnetic hypoxia. This unique spatial setting driving the biogeochemical processing and MOM dynamics required a new generation of modelling, incorporating spatial inhomogeneities of sediment characteristics and a sophisticated resolution of hydrodynamics. Metalimnetic horizontal advection, hypolimnetic upwelling currents, sedimentation hot spots and the formation of high oxygen consumption zones became the major initiation processes leading to MOM. The numerical modeling not only represented the occurrence, development, and extinction of MOM but also comprehensively explained the spatial differences in the vertical morphology of MOM and its inter-annual variations. Our studies help to identify management strategies to mitigate the impacts of MOM on aquatic ecological security and drinking water quality, thus supporting the optimization of reservoir regulations.

Abstract C110: The role of the S100 family signaling pathway proteins in Hispanic colorectal cancer disparities

Abstract Colorectal cancer (CRC) is a global health concern, ranking as the second deadliest and third most diagnosed cancer. In the United States alone, it is estimated that there will be 152,810 new cases of CRC in 2024. CRC has an overall survival rate of 90% when detected in its early stages (Stage I/II). However, due to low screening rates, only 39% of CRC patients in the U.S. are diagnosed during the early stage, particularly among the minority groups like Hispanics. This disparity can be attributed to various factors, including limited access to health care facilities and socio-economic barriers. Among Hispanics, CRC diagnosis and screening rate are lower, resulting in a higher incidence of late-stage (Stage III/IV) diagnosis compared to Non-Hispanic Whites (NHW). Only 33% of Hispanics receive timely diagnosis, and merely 49% undergo recommended screening protocols, in comparison to a diagnosis rate of 35% and screening rate of 58% in NHW. Addressing this health disparity emphasizes the urgent need for targeted interventions to improve early screening and diagnosis within the Hispanic population. We hypothesize that genetic factors across different ethnicities/races may influence gene expression patterns during various stages, thereby contributing to CRC tumorigenesis and progression. To enhance the chances of identifying markers for early detection and diagnosis among Hispanics, we aim to identify new ethnicity-specific transcriptomic profiles. RNA sequencing of Hispanic CRC, NHW CRC and their respective normal tissues adjacent to the tumor (NAT), revealed unique sets of differentially expressed genes (DEGs) with a log2 foldchange of ≥ 2.0 and ≤ -2.0 and p-adjusted value ≤ 0.05 in Hispanic (1831) and NHW (1225) CRC populations compared to their respective NATs. Further analysis identified DEGs specific to early (1012) and late (765) stages of CRC within the Hispanic population, as compared to the respective stages in the NHW. Ingenuity Pathway Analysis (IPA) was used to uncover significant DEGs associated with the S100 family signaling pathway in Hispanic CRC samples. Previous studies have indicated the involvement of the S100 family proteins and their signaling pathways in CRC development, progression, metastasis, and drug resistance through interactions with WNT/β-catenin, RAGE, MAPK and NF-κβ signaling pathways. Our investigation of DEGs within the S100 signaling pathway and their interaction with downstream effectors suggests differential expression of genes crucial in cellular processes, including matrix metallopeptidases (MMP), mitogen-activated protein kinases (MAP2K) and Wingless-related integration site (WNT) family proteins. Exploring these proteins and their downstream effectors in Hispanic CRC tissues and organoids would elucidate specific functional attributes influencing CRC progression. Understanding the interaction of proteins identified in this study may serve as potential ethnicity-specific biomarkers or targets for the development of novel therapeutic interventions for early-stage CRC diagnosis in Hispanics. Citation Format: Soumya Nair, Brian I Grajeda, Sourav Roy. The role of the S100 family signaling pathway proteins in Hispanic colorectal cancer disparities [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C110.

Performance analysis of underwater wireless sensor networks using Reinforcement Learning

This article presents a novel routing protocol named DROR, specifically tailored for underwater wireless sensor networks (UWSNs) to tackle the challenge of void regions. DROR integrates Reinforcement Learning (RL) and Opportunistic Routing (OR) in a recipient-oriented approach, considering the energy limitations and the unique underwater setting. It incorporates a mechanism for void rehabilitation, allowing packets to circumvent void nodes and maintain continuous moving for dependable transmission. Furthermore, a dynamic scheduling strategy based on relative Q-values ensures proficient packet forwarding along the most efficient routing path. Simulation outcomes illustrate the efficacy of the suggested protocol concerning delay, PDR, and energy tax in UWSNs with varying Range, Depths, Packet sizes, and moving radius.

Anticipated benefit termination and health care consumption responses: Evidence from a quasi-experiment

This study is among the first attempts to explore the behavioral responses of anticipated preferential treatment retraction from low-income individuals in the context of health insurance. Utilizing a unique quasi-experimental setting in China, we capture health care demand responses to anticipated benefit termination using a difference-in-differences design. We find a significant increase in individuals’ inpatient health care consumption in anticipation of losing generous insurance benefits. We further investigate the increased consumption and the results suggest that it is largely associated with providing necessary treatments. Additionally, we do not find evidence of supplier-induced demand. In terms of heterogeneity, we find that individuals with chronic disease history, more education, and higher income tend to be more responsive in increasing their health care consumption. While policy evaluations usually focus on the effects upon implementation, our findings shed light on the end-of-benefit responses, and the importance of providing education sessions and liquidity support on individuals’ dynamic decision-making, these findings are meaningful in fully evaluating the impact of insurance contractions.

Cost-effectiveness of multigene sequencing test and treatment for metastatic non-small cell lung cancer: A unique setting in the initial adoption phase in Japan allowing testing only after standard treatment

ObjectiveTo clarify the cost-effectiveness of comprehensive diagnosis and treatment of metastatic non-small cell lung cancer in Japan, from initial diagnosis to post-standard treatment, using three different strategies. MethodsA decision tree was created using three diagnostic and treatment strategies, assuming that Foundation One CDx (F1CDx), a comprehensive genome panel, was introduced in Japan in June 2019. This comprehensive decision tree includes Markov models, cost-effectiveness analyses (CEA), and cost-utility analyses (CUA) of the three strategies from the perspective of Japanese payers. Specifically, Strategy1 involves single-gene testing at the initial diagnosis and F1CDx after standard treatment; Strategy2 involves only single-gene testing at the initial diagnosis; Strategy3 involves F1CDx at the initial diagnosis. The incremental cost-effectiveness ratios (ICERs) of the three strategies are estimated. Sensitivity analyses were performed to assess the uncertainty of the parameter settings. ResultsStrategy3 was dominated for both CUA and CEA. The ICER/quality-adjusted life year (QALY) for Strategy2 versus Strategy1 was USD 13,734 (JPY 2,080,923, USD 1 = JPY 151.39 on April 1st, 2024), which is less than the willingness to pay of USD 45,900 (JPY 7,500,000), and Strategy2 was more cost-effective than Strategy1. F1CDx was not cost-effective compared to multiple simultaneous single tests at the initial diagnosis, either after standard treatment or at the initial diagnosis. Sensitivity analysis also showed that the most influential factor on the ICER for both CEA and CUA was treatment cost. ConclusionsFrom both patient benefit and health economic perspectives, introducing F1CDx after standard treatment in June 2019 was not as cost-effective as multiple simultaneous single tests at the initial diagnosis but was more realistic from a health economic perspective than introducing F1CDx at the time of initial diagnosis. Therefore, the policy at the time of F1CDx introduction in Japan was appropriate from a short-term health-economic perspective.

General education inclusion of students with significant disabilities: the role of the school-based occupational therapy practitioner

ABSTRACT Since the passage of The Individuals with Disabilities Education Act (IDEA) in 2004, it has been mandatory for disabled children to be educated with non-disabled children within public agencies to the greatest extent possible. While school systems have responded by creating academic and functional programs better suited for educating students with disabilities, they tend to be self-contained environments with limited opportunities for exposure to typical peers throughout the school day. The inclusion of special education students, especially those with significant impairments, is currently not meeting the expectations set forth by IDEA. The reasons for this vary widely and have led to the pervasive restrictive placement of students with extensive support needs (ESN) despite the numerous benefits of inclusive placement presented in available research. This manuscript will compile the existing evidence on the educational placements of significantly disabled students and use it to paint a picture of the current state of inclusion, identify the barriers to its implementation, list the benefits of inclusion for all students, and discuss how occupational therapy practitioners can facilitate, enhance, and expand inclusion of these children. This manuscript serves as a call to action for school-based occupational therapy practitioners to expand their role in this setting by emphasizing their unique skill sets to educators and fully utilizing their strengths to act as advocates for the significantly impaired students they serve.

The impact of fiscal expenditure fluctuation on cost asymmetry: Evidence from China

AbstractThis study investigates the relationship between district government fiscal expenditure fluctuation and asymmetric cost behaviour in China. Using the unique manual data sets of Chinese A‐listed firms during the period 2003–2018, we find that cost stickiness is a pervasive phenomenon and that fiscal expenditure fluctuation positively affects cost stickiness. The results also demonstrate this effect is more pronounced when labour input is high and the size of the population is large. In addition, our further analysis indicates that higher social welfare incomes and the higher administrative level of a city can influence these results.

Regenerated nanofibrous cellulose electrospun from ionic liquid: Tuning properties toward tissue engineering.

Regenerated fibrous cellulose possesses a unique set of properties, including biocompatibility, biodegradability, and high surface area potential, but its applications in the biomedical sector have not been sufficiently explored. In this study, nanofibrous cellulose matrices were fabricated via a wet-electrospinning process using a binary system of the solvent ionic liquid (IL) 1-butyl-3-methylimidazolium acetate (BMIMAc) and co-solvent dimethyl sulfoxide (DMSO). The morphology of the matrices was controlled by varying the ratio of BMIMAc versus DMSO in the solvent system. The most effective ratio of 1:1 produced smooth fibers with diameters ranging from 200 to 400 nm. The nanofibrous cellulose matrix showed no cytotoxicity when tested on mouse fibroblast L929 cells whose viability remained above 95%. Human triple-negative breast cancer MDA-MB-231 cells also exhibited high viability even after 7 days of seeding and were able to penetrate deeper layers of the matrix, indicating high biocompatibility. These properties of nanofibrous cellulose demonstrate its potential for tissue engineering and cell culture applications.

The Value of Work: The Gendered Outcomes of Organizational Wage Reforms

ABSTRACT This study explores the influence of organizational practices on gender in/equality in a unique setting: the reformed Israeli kibbutz. The transition of the kibbutz from all members receiving an allowance to waged labor provides an opportunity to explore the impact of wage determination systems on gender pay inequality. The study uses a mixed-method approach: descriptive statistics of administrative data, in-depth interviews, and a focus group with kibbutz management. The findings demonstrate that a “market-based logic,” embedded with gendered preconceptions of “women’s work,” can seep into an organization through a shift in the wage determination system, and increase gender inequality. The findings also highlight the lack of organizational awareness about the gendered consequences of this shift, or even their uncritical acceptance of the “value hierarchy” as ordained by the market. The study thus supports the theory positing gender as a hidden but integral aspect of reward systems in contemporary labor markets. HIGHLIGHTS The choice of a wage determination system is critical for gender inequality. “Women’s work” is valued higher by analytical job evaluation systems, which reduce gender biases. Market-based wage determinations introduce biases and increase organizational gender inequality. Management prefers market-based wage determinations due to competition and costs. The “free market” not only obscures gender hierarchies but also legitimizes them.

The quality of home-based primary care delivered by nurse practitioners: A national Medicare claims analysis.

As the US population ages, there is an increasing demand for home-based primary care (HBPC) by those with Alzheimer's/dementia, multiple chronic conditions, severe physical limitations, or those facing end-of life. Nurse practitioners (NPs) are increasingly providing HBPC, yet little is known about their quality of care in this unique setting. This observational study uses Medicare claims data from 2018 to assess the quality of care for high-intensity HBPC users (5 or more visits/year) based on provider type (NP-only, physician (MD)-only, or both NP and MDs). We employ 12 quality measures from 3 care domains: access and prevention, acute care utilization, and end-of-life. Analysis includes bivariate comparisons and logistic regression models that adjust for demographic, clinical, and geographic characteristics. Among the 574,567 beneficiaries with 5 or more HBPC visits, 37% saw an NP, 37% saw a MD, and 27% saw both NPs and MDs. In multivariate models, those receiving HBPC from an NP or both NP-MD are significantly more likely to receive a flu shot than the MD-only group, but less likely to access preventive care. NP-only care is associated with more acute care hospitalizations, avoidable ED visits, and fall-related injuries, but significantly fewer avoidable admissions. For end-of-life care, those with NP-only or both NP-MD care are significantly more likely to have an advanced directive, be in hospice in the last 3 days of life, and more likely to die in hospice. The NP group is also more likely to die in the next year. HBPC patients are complex, with both palliative and curative needs. NPs provide almost half of HBPC in the Medicare program, to patients who are possibly sicker than those treated by physicians, with similar quality to MDs.

Reflection on Challenges Faced by Chinese Students in Australian Curriculum Assessment System based on AfL

The growing population of international students in Australian higher education institutions presents a unique set of challenges for educators responsible for implementing the Assessment for Learning (AfL) principle. This article explores the specific obstacles faced by Chinese students as they strive to adapt to the Australian higher education curriculum evaluation system from their own perspectives. Additionally, the authors of this article offer in-depth and targeted strategies aimed at enriching the learning experiences of Chinese international students by applying AfL principles. These proposed methods are intended to provide assistance to international students who share a similar educational background in China, helping them overcome the diverse learning challenges encountered in a new and unfamiliar educational setting.

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neural dynamics, there exists numerous software and hardware solutions and stacks whose variability makes it difficult to reproduce findings. Here, we establish a common reference frame for computations in digital neuromorphic systems, titled Neuromorphic Intermediate Representation (NIR). NIR defines a set of computational and composable model primitives as hybrid systems combining continuous-time dynamics and discrete events. By abstracting away assumptions around discretization and hardware constraints, NIR faithfully captures the computational model, while bridging differences between the evaluated implementation and the underlying mathematical formalism. NIR supports an unprecedented number of neuromorphic systems, which we demonstrate by reproducing three spiking neural network models of different complexity across 7 neuromorphic simulators and 4 digital hardware platforms. NIR decouples the development of neuromorphic hardware and software, enabling interoperability between platforms and improving accessibility to multiple neuromorphic technologies. We believe that NIR is a key next step in brain-inspired hardware-software co-evolution, enabling research towards the implementation of energy efficient computational principles of nervous systems. NIR is available at neuroir.org

Persistent resampling of external information despite 25 repetitions of the same visual search templates

We commonly load visual working memory minimally when to-be-remembered information remains available in the external world. In visual search, this is characterised by participants frequently resampling previously encoded templates, which helps minimize cognitive effort and improves task performance. If all search templates have been rehearsed many times, they should become strongly represented in memory, possibly eliminating the benefit of reinspections. To test whether repetition indeed leads to less resampling, participants searched for sets of 1, 2, and 4 continuously available search templates. Critically, each unique set of templates was repeated 25 trials consecutively. Although the number of inspections and inspection durations initially decreased strongly when a template set was repeated, behaviour largely stabilised between the tenth and last repetition: Participants kept resampling templates frequently. In Experiment 2, participants performed the same task, but templates became unavailable after 15 repetitions. Strikingly, accuracy remained high even when templates could not be inspected, suggesting that resampling was not strictly necessary in later repetitions. We further show that seemingly ’excessive’ resampling behaviour had no direct within-trial benefit to speed nor accuracy, and did not improve performance on long-term memory tests. Rather, we argue that resampling was partially used to boost metacognitive confidence regarding memory representations. As such, eliminating the benefit of minimizing working memory load does not eliminate the persistence with which we sample information from the external world – although the underlying reason for resampling behaviour may be different.

Abstract A049: Collagen-driven kinome reprogramming reveals unique, actionable DDR1-signaling dependencies in pancreatic cancer cells

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDA) is the 3rd most common cause of cancer death in the United States, with a 5-year survival rate of only 13%, in part due to late detection and metastatic dissemination at early stages of progression. Most PDA tumors exhibit a dense fibro-inflammatory stroma consisting of fibroblasts, immune cells, and a dense collagen-rich extracellular matrix (ECM) that regulate disease progression. How distinct collagens (COLs) influence PDA progression remains unclear. COLs signal via specific cell surface receptors, of which the Discoidin Domain Receptors (DDRs) constitute a unique family of collagen-binding receptor tyrosine kinases (RTKs). DDR1 is expressed by PDA cancer cells, while DDR2 is expressed by mesenchymal cells. DDR1 is activated by both basement membrane COL (e.g. COL4) and fibrillar COLs (e.g. COLs 1, 2, 11). Compared to most RTKs, relatively little is understood about differential ligand activation and signaling downstream of DDRs. Our working hypothesis is that switches in ECM collagen composition over the course of PDA progression induce changes in DDR1-intracellular signaling cascades, which may reveal unexplored therapeutic susceptibilities to target and eliminate PDA cancer cells. Methods and Recent Advances: Using genetically engineered mouse models of PDA, we previously found that genetic ablation of Ddr1 impedes tumor progression, blocking the transition from well-differentiated to poorly-differentiated adenocarcinoma and, as a result, metastasis. Moreover, we showed that xenografts of DDR1-expressing human PDA cell lines display enhanced tumor growth exclusively when implanted within a COL1 scaffold. Leveraging an innovative high-throughput kinase-activity mapping (HT-KAM) platform and kinase network resource database (PhosphoAtlas), we started investigating mechanisms of differential activation of DDR1 by distinct COLs, including COL1 and COL11, which is an understudied fibrillar collagen that is prominent in the stroma of late-stage, metastatic PDA. New, Unpublished Findings: Using several PDA cell line models with or without DDR1 expression, our results indicate that DDR1 activates two distinct signaling networks: (1) a conserved, coordinated response that is modestly activated by COL1 but is hyperactivated by COL11 (e.g., ERBB, AKT, MEK/ERK, SRC), and (2) a unique set of phospho-signaling nodes that are only induced by COL11 –and not COL1 (e.g., specific RTKs and PKCs). Several of these kinases are associated with cancer cell proliferation and survival, as well as EMT induction, in part illuminating the malignancy-promoting effects of DDR1 in late-stage PDA in response to changes in COL composition. Conclusion: Differential activation of DDR1 represents a new paradigm on how distinct fibrillar COLs within the TME may drive PDA cell signaling. We are actively exploring how distinct COLs differentially regulate PDA tumor growth and metastatic behavior via DDR1, and how specific kinase-targeting interventions may prevent malignant phenotypes or induce tumor cell death. Citation Format: Anjum Sohail, Yeonjoo Hwang, Denise P Munoz, Yoshihiro Ishikawa, Rafael Fridman, Howard Crawford, Jean-Philippe Coppe. Collagen-driven kinome reprogramming reveals unique, actionable DDR1-signaling dependencies in pancreatic cancer cells [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr A049.

Time Resolved Quantum Tomography in Molecular Spectroscopy by the Maximal Entropy Approach.

Attosecond science offers unprecedented precision in probing the initial moments of chemical reactions, revealing the dynamics of molecular electrons that shape reaction pathways. A fundamental question emerges: what role, if any, do quantum coherences between molecular electron states play in photochemical reactions? Answering this question necessitates quantum tomography─the determination of the electronic density matrix from experimental data, where the off-diagonal elements represent these coherences. The Maximal Entropy (MaxEnt) based Quantum State Tomography (QST) approach offers unique advantages in studying molecular dynamics, particularly with partial tomographic data. Here, we explore the application of MaxEnt-based QST on photoexcited ammonia, necessitating the operator form of observables specific to the performed measurements. We present two methodologies for constructing these operators: one leveraging Molecular Angular Distribution Moments (MADMs) which accurately capture the orientation-dependent vibronic dynamics of molecules and another utilizing Angular Momentum Coherence Operators to construct measurement operators for the full rovibronic density matrix in the symmetric top basis. A key revelation of our study is the direct link between Lagrange multipliers in the MaxEnt formalism and the unique set of MADMs. Additionally, we visualize the electron density within the molecular frame, demonstrating charge migration across the molecule. Furthermore, we achieve a groundbreaking milestone by constructing, for the first time, the entanglement entropy of the electronic subsystem─a metric that was previously inaccessible. The entropy vividly reveals and quantifies the effects of coupling between the excited electron and nuclear degrees of freedom. Consequently, our findings open new avenues for research in ultrafast molecular spectroscopy within the broader domain of quantum information science, offering profound implications for the study of molecular systems under excitation using quantum tomographic schemes.

An Industrial Internet-of-Things (IIoT) Open Architecture for Information and Decision Support Systems in Scientific Field Campaigns.

Information and decision support systems are essential to conducting scientific field campaigns in the atmospheric sciences. However, their development is costly and time-consuming since each field campaign has its own research goals, which result in using a unique set of sensors and various analysis procedures. To reduce development costs, we present a software framework that is based on the Industrial Internet of Things (IIoT) and an implementation using well-established and newly developed open-source components. This framework architecture and these components allow developers to customize the software to a campaign's specific needs while keeping the coding to a minimum. The framework's applicability was tested in two scientific field campaigns that dealt with questions regarding air quality by developing specialized IIoT applications for each one. Each application provided the online monitoring of the acquired data and an intuitive interface for the scientific team to perform the analysis. The framework presented in this study is sufficiently robust and adaptable to meet the diverse requirements of field campaigns.

Dynamics of Neurogenic Signals as Biological Switchers of Brain Plasticity.

The discovery of adult neurogenesis in the middle of the past century is considered one of the most important breakthroughs in neuroscience. Despite its controversial nature, this discovery shaped our concept of neural plasticity, revolutionizing the way we look at our brains. In fact, after the discovery of adult neurogenesis, we started to consider the brain as something even more dynamic and highly adaptable. In neurogenic niches, adult neurogenesis is supported by neural stem cells (NSCs). These cells possess a unique set of characteristics such as being quiescent for long periods while actively sensing and reacting to their surroundings to influence a multitude of processes, including the generation of new neurons and glial cells. Therefore, NSCs can be viewed as sentinels to our brain's homeostasis, being able to replace damaged cells and simultaneously secrete numerous factors that restore regular brain function. In addition, it is becoming increasingly evident that NSCs play a central role in memory formation and consolidation. In this review, we will dissect how NSCs influence their surroundings through paracrine and autocrine types of action. We will also depict the mechanism of action of each factor. Finally, we will describe how NSCs integrate different and often opposing signals to guide their fate.

Supportive care 2030 movement: towards unifying ambitions for global excellence in supportive cancer care—an international Delphi study

Supportive care to ensure optimal quality of life is an essential component of cancer care and symptom control across the lifespan. Ongoing advances in cancer treatment, increasing toxicity from many novel treatment regimes, and variations in access to care and cancer outcomes across the globe and resource settings present significant challenges for supportive care delivery. To date, no overarching framework has been developed to guide supportive care development worldwide. As an initial step of the Multinational Association of Supportive Care in Cancer (MASCC) Supportive Care 2030 Movement, we developed a targeted, unifying set of ambition statements to envision the future of supportive cancer care. From September 2022 until June 2023, we used a modified Delphi methodology to develop and attain consensus about ambition statements related to supportive cancer care. Leaders of MASCC Study Groups were invited to participate in an Expert Panel for the first two Delphi rounds (and a preliminary round to suggest potential ambition statements). Patient Advocates then examined and provided input regarding the ambition statements. Twenty-seven Expert Panelists and 11 Patient Advocates participated. Consensus was attained on 13 ambition statements, with two sub-statements. The ambition statements addressed global standards for guideline development and implementation, coordinated and individualized care, dedicated supportive oncology services, self-management, needs for screening and actions, patient education, behavioral support, financial impact minimization, comprehensive survivorship care, and timely palliative care, reflecting collaboration, coordination and team-based approach across all levels. This study is the first to develop shared ambitions for the future of supportive cancer care on a global level. These ambition statements can facilitate a coordinated, resource-stratified, and person-centered approach and inform research, education, clinical services, and policy efforts. This project received funding support from Prof Raymond Chan's NHMRC Investigator Grant (APP1194051).

Dividend omissions and dividend cuts behaviour: a dynamic random-effect probit panel regression analysis

PurposeThe study aims to examine the dividend omissions and dividend cuts behaviour of manufacturing and non-financial services firms to identify the determinants of dividend omissions and dividend cuts.Design/methodology/approachThe study analyses the financial data of 3,546 firms from 2011 to 2020 (35,460 firm-year observations) using a dynamic random-effect probit panel regression model.FindingsThe results suggest that profitability, growth opportunity, leverage, liquidity, risk, extraordinary income, shareholding pattern and buyback are major determinants of dividend omissions. Similarly, dividend cut in the previous year, profitability, operating cash flow, risk and extraordinary income are major factors leading to dividend cuts.Research limitations/implicationsFirms which omit the dividend are less likely to start paying dividend in subsequent years, whereas firms which cut the dividend may increase dividend in later years. Also, profitability decreases for a significant number of firms post dividend omission and cut. This indicates that dividend omission is a more prominent signal than a dividend cut for the financial health of a firm.Practical implicationsThe determinants identified in the study enable analysts and portfolio managers to decide the propensity of dividend omission and cut even before actual announcements and can alleviate the significant loss in the portfolio. Also, managers and the board of directors would be able to monitor the firm’s financial performance to avoid the situation leading to dividend omissions and cuts.Social implicationsThe study strongly recommends that firms should voluntarily pay dividends to shareholders to encourage the healthy participation of retail shareholders in the equity market and create a long-term win–win situation for all stakeholders in society. If a large number of firms continue not to pay the dividend, the study appeals to the regulators to intervene to protect shareholders' interests for the greater good of society.Originality/valueTo the best of author’s knowledge, this is the first study to empirically identify the determinants of dividend omission and cut in the unique setting like India where dividend taxation had undergone a significant change.

What if you eat nanoplastics? Simulating nanoplastics fate during gastrointestinal digestion

Despite our growing awareness of micro-and nanoplastics presence in food and beverages, the fate of nanoplastics (NPs) in the human gastrointestinal tract (GIT) remains poorly investigated. Changes of nanoplastics size upon digestive conditions influence the potential of absorption through the intestine. In this study, polymer nanoparticles with different physicochemical properties (size, surface and chemistry) were submitted to gastrointestinal digestion (GID) simulated in vitro. Their agglomeration behaviour was measured with a unique set of analytical approaches, allowing to study NPs’ interactions with the digestive enzymes. Smaller NPs agglomerated more, narrowing the overall particle size distribution of smaller and larger NPs. NPs of different polymers exhibited heteroagglomeration. Digestive enzymes interact with the NPs, forming large but fragile agglomerates. In presence of the enzymes, even acid-functionalized NPs, typically stable in harsh conditions, agglomerated similarly to the non-functionalized PS NPs. These results highlight the role of the GID in increasing the effective size of ingested NPs, potentially reducing their ability to pass through the cell membranes. Our findings address a critical knowledge gap in nanoplastics oral uptake potential, providing a solid technical foundation for their characterization.