bluuebunny/crossref_metadata_2025_split huggingface dataset:
ON THE NUMBER OF NEARLY SELF-CONJUGATE PARTITIONS
Authors: LIN BERNARD L. S. , SUN SITONG 
Published: November 2022

AbstractA partition
$\lambda $
of n is said to be nearly self-conjugate if the Ferrers graph of
$\lambda $
and its transpose have exactly
$n-1$
cells in common. The generating function of the number of such partitions was first conjectured by Campbell and recently confirmed by Campbell and Chern (‘Nearly self-conjugate integer partitions’, submitted for publication). We present a simple and direct analytic proof and a combinatorial proof of an equivalent statement.
Reciprocal Mobilities in Colonial Encounters in Eighteenth-Century Luzon
Authors: Dizon Mark 
Published: November 2022

AbstractThe article sheds new light on colonial encounters in eighteenth-century Luzon by viewing them through the lens of mobility. Historical actors—both Spaniards and indigenes—created and sustained ties with each other through reciprocal visits punctuated by feasts. Encounters were not singular events but rather pertained to a series of multiple mobilities and multisited celebrations. The very act of travelling transformed the visitors’ identities, which became ever more entangled with their hosts’. In the colonial context, encounters did not involve a simple unilateral or unidirectional penetration and conquest of the island's interior on the part of Spanish missionaries and officials. They were embedded in a combination of Spanish and indigenous practices of reciprocal mobilities.
Using a Quality Framework to Explore Air Ambulance Patients’ Journey Outcomes in Central Queensland, Australia
Authors: Edwards Kristin H. , Franklin Richard C. , Jones Rhondda , Kuhnert Petra M. , Khanna Sankalp 
Published: November 2022

AbstractIntroduction:In Australia, aeromedical retrieval provides a vital link for rural communities with limited health services to definitive care in urban centers. Yet, there are few studies of aeromedical patient experiences and outcomes, or clear measures of the service quality provided to these patients.Study Objective:This study explores whether a previously developed quality framework could usefully be applied to existing air ambulance patient journeys (ie, the sequences of care that span multiple settings; prehospital and hospital-based pre-flight, flight transport, after-flight hospital in-patient, and disposition). The study aimed to use linked data from aeromedical, emergency department (ED), and hospital sources, and from death registries, to document and analyze patient journeys.Methods:A previously developed air ambulance quality framework was used to place patient, prehospital, and in-hospital service outcomes in relevant quality domains identified from the Institutes of Medicine (IOM) and Dr. Donabedian models. To understand the aeromedical patients’ journeys, data from all relevant data sources were linked by unique patient identifiers and the outcomes of the resulting analyses were applied to the air ambulance quality framework.Results:Overall, air ambulance referral pathways could be classified into three categories: Intraregional (those retrievals which stayed within the region), Out of Region, and Into Region. Patient journeys and service outcomes varied markedly between referral pathways. Prehospital and in-hospital service variables and patient outcomes showed that the framework could be used to explore air ambulance service quality.Conclusion:The air ambulance quality framework can usefully be applied to air ambulance patient experiences and outcomes using linked data analysis. The framework can help guide prehospital and in-hospital performance reporting. With variations between regional referral pathways, this knowledge will aid with planning within the local service. The study successfully linked data from aeromedical, ED, in-hospital, and death sources and explored the aeromedical patients’ journeys.
Leisure activity engagement across adulthood predicts cognitive change after five years: Do gender and age matter?
Authors: Sanz Simon Sharon , Lee Seonjoo , Gu Yian , Mensing Ashley , Noofoory Diala , Hidalgo Nazario Geneva M. , Babukutty Reshma S. , Stern Yaakov 
Published: November 2022

AbstractObjective:To examine the association between leisure activity (LA) frequency and cognitive trajectories over 5 years across adulthood, and whether gender and age moderate these associations.Method:A total of 234 cognitively healthy adults (21–80 years) completed a LA questionnaire at baseline and neuropsychological measures at baseline and after 5 years. Latent change score analysis was applied to generate latent variables estimating changes in different cognitive domains. For a secondary analysis, LA components’ scores were calculated, reflecting cognitive-intellectual, social, and physical activities. Regression analysis examined the association between baseline LA and cognitive change, and potential moderation of gender and age. In addition, we tested the influence of cortical gray matter thickness on the results.Results:We found that higher LA engagement was associated with slower cognitive decline for reasoning, speed, and memory, as well as better vocabulary across two time points. Regarding LA components, higher Social-LA and Intellectual-LA predicted slower rates of cognitive decline across different domains, while Physical-LA was not associated with cognitive change. Gender, but not age, moderated some of the associations observed. Our results remained the same after controlling for cortical gray matter thickness.Conclusions:We demonstrated a protective effect of LA engagement on cognitive trajectories over 5 years, independent from demographics and a measure of brain health. The effects were in part moderated by gender, but not age. Results should be replicated in larger and more diverse samples. Our findings support cognitive reserve hypothesis and have implications for future reserve-enhancing interventions.
Supporting Weight Management during COVID-19 (SWiM-C): twelve-month follow-up of a randomised controlled trial of a web-based, ACT-based, guided self-help intervention
Authors: Mueller Julia , Richards Rebecca , Jones Rebecca A. , Whittle Fiona , Woolston Jennifer , Stubbings Marie , Sharp Stephen J. , Griffin Simon J. , Bostock Jennifer , Hughes Carly A. , Hill Andrew J. , Boothby Clare E. , Ahern Amy L. 
Published: November 2022

Abstract
Objectives
We developed a guided self-help intervention (Supporting Weight Management during COVID-19, “SWiM-C”) to support adults with overweight or obesity in their weight management during the COVID-19 pandemic. This parallel, two-group trial (ISRCTN12107048) evaluated the effect of SWiM-C on weight and determinants of weight management over twelve months.

Methods
Participants (≥18 years, body-mass-index ≥25 kg/m2) were randomised to the SWiM-C intervention or to a standard advice group (unblinded). Participants completed online questionnaires at baseline, four months, and twelve months. The primary outcome was change in self-reported weight from baseline to twelve months; secondary outcomes were eating behaviour (uncontrolled eating, emotional eating, cognitive restraint of food intake), experiential avoidance, depression, anxiety, stress, wellbeing and physical activity.

Interventions
SWiM-C is based on acceptance and commitment therapy (ACT). Participants had access to an online web platform with 12 weekly modules and email and telephone contact with a trained, non-specialist coach. Standard advice was a leaflet on managing weight and mood during the COVID-19 pandemic.

Results
388 participants were randomised (SWiM-C: n = 192, standard advice: n = 196). The baseline-adjusted difference in weight change between SWiM-C (n = 119) and standard advice (n = 147) was −0.81 kg (95% CI: −2.24 to 0.61 kg). SWiM-C participants reported a reduction in experiential avoidance (−2.45 [scale:10–70], 95% CI: −4.75 to −0.15), uncontrolled eating (–5.52 [scale: 0–100], 95% CI: –9.67 to –1.37), and emotional eating (–4.49 [scale: 0–100], 95% CI: –7.57 to –1.42) and an increase in physical activity (8.96 [MET-min/week], 95% CI: 0.29 to 17.62) compared to standard advice participants. We found no evidence of an effect on remaining outcomes. No adverse events/side effects were reported.

Conclusions
Whilst we were unable to conclude that the intervention had an effect on weight, SWiM-C improved eating behaviours, experiential avoidance and physical activity. Further refinement of the intervention is necessary to ensure meaningful effects on weight prior to implementation in practice.

Trial registration number
ISRCTN 12107048
Large-scale achromatic flat lens by light frequency-domain coherence optimization
Authors: Xiao Xingjian , Zhao Yunwei , Ye Xin , Chen Chen , Lu Xinmou , Rong Yansen , Deng Junhong , Li Guixin , Zhu Shining , Li Tao 
Published: November 2022

AbstractFlat lenses, including metalens and diffractive lens, have attracted increasing attention due to their ability to miniaturize the imaging devices. However, realizing a large scale achromatic flat lens with high performance still remains a big challenge. Here, we developed a new framework in designing achromatic multi-level diffractive lenses by light coherence optimization, which enables the implementation of large-scale flat lenses under non-ideal conditions. As results, a series achromatic polymer lenses with diameter from 1 to 10 mm are successfully designed and fabricated. The subsequent optical characterizations substantially validate our theoretical framework and show relatively good performance of the centimeter-scale achromatic multi-level diffractive lenses with a super broad bandwidth in optical wavelengths (400–1100 nm). After comparing with conventional refractive lens, this achromatic lens shows significant advantages in white-light imaging performance, implying a new strategy in developing practical planar optical devices.
Malnutrition, nutrition support and dietary intervention: the role of the dietitian supporting patients with head and neck cancer
Authors: Cook Florence , Rodriguez Jose M. , McCaul Lorna K. 
Published: November 2022

AbstractMalnutrition is prevalent in patients with head and neck cancer (HNC) at diagnosis but can occur at any stage of the treatment pathway. The impact of disease burden and treatment side effects can lead to altered anatomy, compromised quality and quantity of saliva and impaired swallowing function, which can result in deleterious effects on nutritional status. Optimising nutrition status is critical, as malnutrition is adversely associated with treatment tolerance and outcomes, wound healing, morbidity, mortality, quality of life and survival. Dietitians are integral members of the HNC multidisciplinary team and are uniquely qualified in the assessment, management and optimisation of nutritional status across the care pathway. This includes providing informational counselling to patients and carers on the short- and long-term nutritional impact of planned treatments alongside multidisciplinary members. Dietitians lead on the recommendation, provision and monitoring of nutrition support, which can be via the oral, enteral or parenteral route. Oral nutrition support includes dietary counselling, nourishing dietary, food fortification advice and high energy/protein oral nutritional supplements. Enteral nutrition support, or tube feeding, can be required on a short- and/or long-term basis and dietitians support appropriate decision-making for the type of tube and timing of placement across the care pathway.
Head and neck cancer in the UK: what was the stage before COVID-19? UK cancer registries analysis (2011-2018)
Authors: Creaney Grant , McMahon Alex D. , Ross Alastair J. , Bhatti Lesley A. , Paterson Claire , Conway David I. 
Published: November 2022

AbstractIntroduction People who present with more advanced stage head and neck cancer (HNC) are associated with poorer outcomes and survival. The burden and trends of advanced stage HNC are not fully known at the population level. The UK national cancer registries routinely collect data on HNC diagnoses.Aims To describe trends in stage of diagnosis of HNCs across the UK before the COVID-19 pandemic.Methods Aggregated HNC incidence data were requested from the national cancer registries of the four UK countries for the ten most recent years of available data by subsite and American Joint Commission on Cancer stage at diagnosis classification. Additionally, data for Scotland were available by age group, sex and area-based socioeconomic deprivation category.Results Across the UK, rates of advanced stage HNC had increased, with 59% of patients having advanced disease at diagnosis from 2016-2018. England had a lower proportion of advanced disease (58%) than Scotland, Wales or Northern Ireland (65-69%) where stage data were available. The completeness of stage data had improved over recent years (87% by 2018).Conclusion Prior to the COVID-19 pandemic, diagnoses of HNC at an advanced stage comprised the majority of HNCs in the UK, representing the major challenge for the cancer healthcare system.
Ruxolitinib and exemestane for estrogen receptor positive, aromatase inhibitor resistant advanced breast cancer
Authors: Makhlin Igor , McAndrew Nicholas P. , Wileyto E. Paul , Clark Amy S. , Holmes Robin , Bottalico Lisa N. , Mesaros Clementina , Blair Ian A. , Jeschke Grace R. , Fox Kevin R. , Domchek Susan M. , Matro Jennifer M. , Bradbury Angela R. , Feldman Michael D. , Hexner Elizabeth O. , Bromberg Jacqueline F. , DeMichele Angela 
Published: November 2022

AbstractCirculating IL-6, an activator of JAK/STAT signaling, is associated with poor prognosis and aromatase inhibitor (AI) resistance in hormone-receptor positive (HR+) breast cancer. Here we report the results of a phase 2 single-arm Simon 2-stage trial combining Ruxolitinib, an oral selective inhibitor of JAK1/2, with exemestane, a steroidal AI, in patients with HR+ metastatic breast cancer (MBC) after progression on non-steroidal AI (NSAI). Safety and efficacy were primary objectives, and analysis of inflammatory markers as predictors of response was a key secondary objective. Twenty-five subjects enrolled. The combination of ruxolitinib and exemestane was safe, though anemia requiring transfusion in 5/15 (33%) at the 25 mg dose in stage 1 led to a reduction to 15 mg twice daily in stage 2 (with no additional transfusions). Clinical benefit rate (CBR) in the overall study population was 24% (95% CI 9.4–45.1); 6/25 patients demonstrated stable disease for ≥6 months. Median progression-free survival was 2.8 months (95% CI 2.6–3.9). Exploratory biomarkers revealed high levels of systemic inflammation and 60% harbored a high-risk IL-6 genotype. Pharmacodynamics demonstrated modest on-target inhibition of phosphorylated-STAT3 by ruxolitinib at a tolerable dose. Thus, ruxolitinib combined with exemestane at a tolerable dose was safe but minimally active in AI-resistant tumors of patients with high levels of systemic inflammation. These findings highlight the need for more potent and specific therapies targeting inflammation in MBC.
Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis
Authors: Jiang Xue , Yan Yu , Su Yanjing 
Published: November 2022

AbstractCorrosion initiation and propagation are a time-series problem, evolving continuously with corrosion time, and future pitting behavior depends closely on the past. Predicting localized corrosion for corrosion-resistant alloys remains a great challenge, as macroscopic experiments and microscopic theoretical simulations cannot couple internal and external factors to describe the pitting evolution from a time dimension. In this work, a data-driven method based on time-series analysis was explored. Taking cobalt-based alloys and duplex stainless steels as the case scenario, a corrosion propagation model was built to predict the free corrosion potential (Ecorr) using a long short-term memory neural network (LSTM) based on 150 days of immersion testing in saline solution. Compared to traditional machine learning methods, the time-series analysis method was more consistent with the evolution of ground truth in the Ecorr prediction of the subsequent 70 days’ immersion, illustrating that time-series dependency of pitting propagation could be captured and utilized.
Treadmill training in Parkinson’s disease is underpinned by the interregional connectivity in cortical-subcortical network
Authors: Ding Hao , Droby Amgad , Anwar Abdul Rauf , Bange Manuel , Hausdorff Jeffrey M. , Nasseroleslami Bahman , Mirelman Anat , Maidan Inbal , Groppa Sergiu , Muthuraman Muthuraman 
Published: November 2022

AbstractTreadmill training (TT) has been extensively used as an intervention to improve gait and mobility in patients with Parkinson’s disease (PD). Regional and global effects on brain activity could be induced through TT. Training effects can lead to a beneficial shift of interregional connectivity towards a physiological range. The current work investigates the effects of TT on brain activity and connectivity during walking and at rest by using both functional near-infrared spectroscopy and functional magnetic resonance imaging. Nineteen PD patients (74.0 ± 6.59 years, 13 males, disease duration 10.45 ± 6.83 years) before and after 6 weeks of TT, along with 19 age-matched healthy controls were assessed. Interregional effective connectivity (EC) between cortical and subcortical regions were assessed and its interrelation to prefrontal cortex (PFC) activity. Support vector regression (SVR) on the resting-state ECs was used to predict prefrontal connectivity. In response to TT, EC analysis indicated modifications in the patients with PD towards the level of healthy controls during walking and at rest. SVR revealed cerebellum related connectivity patterns that were associated with the training effect on PFC. These findings suggest that the potential therapeutic effect of training on brain activity may be facilitated via changes in compensatory modulation of the cerebellar interregional connectivity.
Disengagement from early psychosis intervention services: an observational study informed by a survey of patient and family perspectives
Authors: Polillo Alexia , Voineskos Aristotle N. , Foussias George , Kidd Sean A. , Bromley Sarah , Soklaridis Sophie , Wang Wei , Stergiopoulos Vicky , Kozloff Nicole 
Published: November 2022

AbstractApproximately one-third of patients with early psychosis disengage from services before the end of treatment. We sought to understand patient and family perspectives on early psychosis intervention (EPI) service engagement and use these findings to elucidate factors associated with early disengagement, defined as dropout from EPI in the first 9 months. Patients aged 16–29 referred to a large EPI program between July 2018-February 2020 and their family members were invited to complete a survey exploring facilitators and barriers to service engagement. A prospective chart review was conducted for 225 patients consecutively enrolled in the same EPI program, receiving the NAVIGATE model of coordinated specialty care, between July 2018-May 2019. We conducted a survival analysis, generating Kaplan–Meier curves depicting time to disengagement and Cox proportional hazards models to determine rate of disengagement controlling for demographic, clinical, and program factors. The survey was completed by 167 patients and 79 family members. The top endorsed engagement facilitator was related to the therapeutic relationship in both patients (36.5%) and families (43.0%). The top endorsed barrier to engagement was medication side effects in both patients (28.7%) and families (39.2%). In Cox proportional hazards models, medication nonadherence (HR = 2.37, 95% CI = 1.17–4.80) and use of individual psychotherapy (HR = .460, 95% CI = 0.220–0.962) were associated with early disengagement, but some of the health equity factors expected to affect engagement were not. Findings suggest that delivery of standardized treatment may buffer the effects of health disparities on service disengagement in early psychosis.
Benchmarking second and third-generation sequencing platforms for microbial metagenomics
Authors: Meslier Victoria , Quinquis Benoit , Da Silva Kévin , Plaza Oñate Florian , Pons Nicolas , Roume Hugo , Podar Mircea , Almeida Mathieu 
Published: November 2022

AbstractShotgun metagenomic sequencing is a common approach for studying the taxonomic diversity and metabolic potential of complex microbial communities. Current methods primarily use second generation short read sequencing, yet advances in third generation long read technologies provide opportunities to overcome some of the limitations of short read sequencing. Here, we compared seven platforms, encompassing second generation sequencers (Illumina HiSeq 300, MGI DNBSEQ-G400 and DNBSEQ-T7, ThermoFisher Ion GeneStudio S5 and Ion Proton P1) and third generation sequencers (Oxford Nanopore Technologies MinION R9 and Pacific Biosciences Sequel II). We constructed three uneven synthetic microbial communities composed of up to 87 genomic microbial strains DNAs per mock, spanning 29 bacterial and archaeal phyla, and representing the most complex and diverse synthetic communities used for sequencing technology comparisons. Our results demonstrate that third generation sequencing have advantages over second generation platforms in analyzing complex microbial communities, but require careful sequencing library preparation for optimal quantitative metagenomic analysis. Our sequencing data also provides a valuable resource for testing and benchmarking bioinformatics software for metagenomics.
A century-long eddy-resolving simulation of global oceanic large- and mesoscale state
Authors: Ding Mengrong , Liu Hailong , Lin Pengfei , Meng Yao , Zheng Weipeng , An Bo , Luan Yihua , Yu Yongqiang , Yu Zipeng , Li Yiwen , Ma Jinfeng , Chen Jian , Chen Kangjun 
Published: November 2022

AbstractInvestigating oceanic variations at multiple spatial and temporal scales is vital for an in-depth understanding of the ocean response to global climate change. However, the available observational datasets contain uncertainties and deficiencies that leave them insufficient for investigating global ocean variability with long temporal scales and/or meso spatial scales. Here, we present a daily and century-long (1901–2010) global oceanic simulation dataset with high resolution (1/10° horizontal resolution and 55 vertical layers) forced by 6-hour atmospheric data from ERA-20C. Preliminary evaluations demonstrate that this simulation can realistically reproduce the large-scale global ocean circulation and capture the essential features of global surface mesoscale eddies. This long-running high-resolution simulation dataset provides temporally highly resolved oceanic and flux variables. Together with its good performance in simulating the global oceanic state, this eddy-resolving simulation has the potential to help toward a better understanding of ocean variability at multiple spatial and temporal scales.