bluuebunny/crossref_metadata_2025_split huggingface dataset:
Encephalitis in a patient with hypopharynx cancer treated with immune checkpoint inhibitors and radiotherapy: a case report and review of the literature
Authors: Kang Yan , Zhen Hongchao , Ma Nina , Zhao Hong , Cao Bangwei 
Published: September 2023

AbstractHypopharyngeal cancer (HPC) has one of the most unfavorable prognoses among head and neck squamous cell carcinomas. Immunotherapy in combination with chemotherapy, the same as conventional induction chemotherapy, has emerged as a vital part of the induction therapy protocol for HPC. Meanwhile, the incidence of immune-related adverse events is increasing. In this light, we present the first reported case of immune-associated encephalitis in a patient with hypopharyngeal cancer treated with Camrelizumab (a PD-1 inhibitor). After receiving immunotherapy combined with chemotherapy as induction therapy, along with concurrent chemoradiotherapy, the patient presented with symptoms of fatigue, tremors, drowsiness, and an abnormal signal in the right temporal lobe as shown on a brain magnetic resonance imaging (MRI). Despite the minor elevation in protein and IgG index observed in the lumbar puncture, there is no evidence of abnormal autoantibodies or evidence of pathogenic infection. Following a thorough multidisciplinary consultation, the patient is suspected to be afflicted with immune-related autoimmune encephalitis. Intravenous methylprednisolone was prescribed as an empirical treatment at an initial dosage of 120 mg/day for 3 days, followed by steroid tapering. Finally, the patient experienced complete neurologic and radiographic (brain MRI) recovery. This case serves as a critical reminder that encephalitis is a potential diagnosis that should never be overlooked in patients undergoing immunotherapy who present with abnormal signs of the brain. The timely diagnosis and initiation of immunosuppressive therapy are key components of treating ICI-associated encephalitis.
Incidence and risk factors for venous thromboembolism in the Cancer-VTE Registry pancreatic cancer subcohort
Authors: Okusaka Takuji , Saiura Akio , Shimada Kazuaki , Ikeda Masafumi , Ioka Tatsuya , Kimura Tetsuya , Hosokawa Jun , Takita Atsushi , Oba Mari S. 
Published: September 2023

Abstract
Background
This substudy of the Cancer-VTE Registry estimated venous thromboembolism (VTE) incidence and risk factors in pancreatic cancer patients.

Methods
The Cancer-VTE Registry was an observational study that collected VTE data from patients with solid tumors across Japan. We measured baseline VTE prevalence, and at 1-year follow-up, the cumulative incidence of symptomatic and composite VTE (symptomatic VTE and incidental VTE requiring treatment), bleeding, cerebral infarction/transient ischemic attack (TIA)/systemic embolic event (SEE), and all-cause death.

Results
Of 1006 pancreatic cancer patients, 86 (8.5%) had VTE at baseline, and seven (0.7%) had symptomatic VTE. Significant risk factors of baseline VTE were Eastern Cooperative Oncology Group performance status (ECOG PS) of 1, body mass index (BMI) ≥ 25 kg/m2, history of VTE, D-dimer > 1.2 µg/mL, and hemoglobin < 10 g/dL. At 1-year follow-up, the cumulative incidence of events was higher for pancreatic cancer vs other cancers. Pancreatic cancer patients with VTE vs those without VTE had significantly higher incidences of bleeding, cerebral infarction/TIA/SEE, and all-cause death. No significant risk factors for composite VTE were identified.

Conclusions
The cumulative incidence of composite VTE during cancer treatment was higher in pancreatic cancer than in other cancer types. Some risk factors for VTE prevalence at cancer diagnosis were identified. Although VTE prevalence at cancer diagnosis did not predict the subsequent 1-year incidence of composite VTE, it was a significant predictor of other events such as all-cause death in pancreatic cancer patients.

Trial registration
UMIN Clinical Trials Registry; UMIN000024942
My Meals Are in the Pots: Making Pots and Meals in Wollega, Southwest Ethiopia
Authors: Wayessa Bula S. 
Published: September 2023

AbstractPottery is an ancient technology in Africa that transformed how people store and prepare their foods. It is a craft technology frequently associated with women and is often practiced by people who belong to marginalized social groups with limited access to farmland. This article offers insight into traditional pottery-making and how women have innovated the craft under changing sociopolitical and economic circumstances. It also addresses the more recent government policies that have shaped potters’ access to clay. In addition, the article examines how competition with alternative materials, including plastics and enamels, has challenged women’s ability to maintain their pottery-making livelihoods and inspired potters’ creativity in circumventing the challenges imposed on them. The study provides insights into the archaeological implications of resilience and dynamism in the pottery technological tradition and considers these in relation to the UN Sustainable Development Goals (SDGs).RésuméLa poterie est une technologie ancienne en Afrique qui a transformé la façon dont les gens préparent et stockent leurs aliments. Il s'agit d'une technologie artisanale fréquemment associée aux femmes, et souvent pratiquée par des personnes appartenant à des groupes sociaux marginalisés, ayant accès limité aux terres agricoles. Cet article offre un aperçu de la fabrication traditionnelle de la poterie et des façons dont les femmes ont innové l'artisanat dans des circonstances socio-politiques et économiques changeantes. Il aborde également les politiques gouvernementales plus récentes qui ont façonné l'accès des potiers à l'argile. Nous proposons également d'élaborer comment l’arrivée des matériaux autres, tels les plastiques et les émaux, a mis à l’épreuve la capacité des femmes à maintenir leurs moyens de subsistance en matière de poterie, tout en inspirant la créativité des potiers pour contourner les défis qui leur sont imposés. L’étude donne un aperçu des implications archéologiques de la résilience et du dynamisme dans la tradition technologique de la poterie, et les considère par rapport aux objectifs de développement durable (ODD) des Nations Unies.
AdaDeepStream: streaming adaptation to concept evolution in deep neural networks
Authors: Chambers Lorraine , Gaber Mohamed Medhat , Ghomeshi Hossein 
Published: September 2023

AbstractTypically, Deep Neural Networks (DNNs) are not responsive to changing data. Novel classes will be incorrectly labelled as a class on which the network was previously trained to recognise. Ideally, a DNN would be able to detect changing data and adapt rapidly with minimal true-labelled samples and without catastrophically forgetting previous classes. In the Online Class Incremental (OCI) field, research focuses on remembering all previously known classes. However, real-world systems are dynamic, and it is not essential to recall all classes forever. The Concept Evolution field studies the emergence of novel classes within a data stream. This paper aims to bring together these fields by analysing OCI Convolutional Neural Network (CNN) adaptation systems in a concept evolution setting by applying novel classes in patterns. Our system, termed AdaDeepStream, offers a dynamic concept evolution detection and CNN adaptation system using minimal true-labelled samples. We apply activations from within the CNN to fast streaming machine learning techniques. We compare two activation reduction techniques. We conduct a comprehensive experimental study and compare our novel adaptation method with four other state-of-the-art CNN adaptation methods. Our entire system is also compared to two other novel class detection and CNN adaptation methods. The results of the experiments are analysed based on accuracy, speed of inference and speed of adaptation. On accuracy, AdaDeepStream outperforms the next best adaptation method by 27% and the next best combined novel class detection/CNN adaptation method by 24%. On speed, AdaDeepStream is among the fastest to process instances and adapt.
Absence of post-treatment changes in sentinel lymph nodes does not translate into increased regional recurrence rate in initially node-positive breast cancer patients
Authors: Pislar Nina , Gasljevic Gorana , Ratosa Ivica , Kovac Anja , Zgajnar Janez , Perhavec Andraz 
Published: September 2023

Abstract
Purpose
To determine whether the absence of post-treatment changes in the negative sentinel lymph nodes (SLN) in the neoadjuvant setting for biopsy-proven cN + disease results in an increased regional recurrence (RR) rate in patients after SLN biopsy (SLNB) only.

Methods
Breast cancer patients with biopsy-proven cN + disease who converted to node-negative disease after neoadjuvant systemic treatment (NAST) and underwent SLNB only were included. Retrospective analysis was performed for patients diagnosed between 2008 and 2021. Pathohistological specimens were reviewed for the presence of post-treatment changes in the SLNs. Patients with negative SLNs (ypN0) were divided into two groups: (i) with post-treatment changes, (ii) without post-treatment changes. Patients’ characteristics were compared between groups. Crude RR rates were compared using the log-rank test. Recurrence-free (RFS) and overall survival (OS) for the entire cohort were calculated using Kaplan–Meier.

Results
Of 437 patients with cN + disease, 95 underwent SLNB only. 82 were ypN0, 57 with post-treatment changes (group 1), 25 without post-treatment changes (group 2). During the median follow-up of 37 months (range 6–148), 1 isolated regional recurrence occurred in group 2 (RR rate 0% for group 1 vs. 4% for group 2, p = 0.149). There were no differences in 3-year RFS and OS between groups.

Conclusion
Absent post-treatment changes in negative SLNs for biopsy-proven cN + disease that covert to node-negative after NAST did not result in increased regional recurrence rates in our cohort. Multidisciplinary input is essential to determine whether additional treatment is needed in these patients.
A risk-based subgroup analysis of the effect of adjuvant S-1 in estrogen receptor-positive, HER2-negative early breast cancer
Authors: Takada Masahiro , Imoto Shigeru , Ishida Takanori , Ito Yoshinori , Iwata Hiroji , Masuda Norikazu , Mukai Hirofumi , Saji Shigehira , Ikeda Takafumi , Haga Hironori , Saeki Toshiaki , Aogi Kenjiro , Sugie Tomoharu , Ueno Takayuki , Ohno Shinji , Ishiguro Hiroshi , Kanbayashi Chizuko , Miyamoto Takeshi , Hagiwara Yasuhiro , Toi Masakazu 
Published: September 2023

Abstract
Purpose
The Phase III POTENT trial demonstrated the efficacy of adding S-1 to adjuvant endocrine therapy for estrogen receptor-positive, HER2-negative early breast cancer. We investigated the efficacy of S-1 across different recurrence risk subgroups.

Methods
This was a post-hoc exploratory analysis of the POTENT trial. Patients in the endocrine-therapy-only arm were divided into three groups based on composite risk values calculated from multiple prognostic factors. The effects of S-1 were estimated using the Cox model in each risk group. The treatment effects of S-1 in patients meeting the eligibility criteria of the monarchE trial were also estimated.

Results
A total of 1,897 patients were divided into three groups: group 1 (≤ lower quartile of the composite values) (N = 677), group 2 (interquartile range) (N = 767), and group 3 (> upper quartile) (N = 453). The addition of S-1 to endocrine therapy resulted in 49% (HR: 0.51, 95% CI: 0.33–0.78) and 29% (HR: 0.71, 95% CI 0.49–1.02) reductions in invasive disease-free survival (iDFS) events in groups 2 and 3, respectively. We could not identify any benefit from the addition of S-1 in group 1. The addition of S-1 showed an improvement in iDFS in patients with one to three positive nodes meeting the monarchE cohort 1 criteria (N = 290) (HR: 0.47, 95% CI: 0.29–0.74).

Conclusions
The benefit of adding adjuvant S-1 was particularly marked in group 2. Further investigations are warranted to explore the optimal usage of adjuvant S-1.
Inconsistent estimates of hybridization frequency in newts revealed by SNPs and microsatellites
Authors: Miralles Aurélien , Secondi Jean , Pabijan Maciej , Babik Wiesław , Lemaire Christophe , Crochet Pierre-André 
Published: September 2023

AbstractHybridization between the European smooth and palmate newts has recurrently been mentioned in the literature. The only two studies that attempted to quantify the frequency of hybridization and gene admixture between these two species came to strikingly opposite conclusions. According to Arntzen et al. (1998, 42 allozymes), hybrids are rare in nature and introgression negligible, while according to Johanet et al. (2011, 6 microsatellites), introgressive hybridization is significant and widespread across the shared distribution range. To clarify this question, we implemented high-throughput SNP genotyping with diagnostic biallelic SNPs on 965 specimens sampled across Europe. Our results are in line with Arntzen et al., since only two F1 hybrids were identified in two distinct French localities, and no further hybrid generations or backcrosses. Moreover, reanalysis of 78 of the samples previously studied by Johanet et al. (2011) using our SNPs panel could not reproduce their results, suggesting that microsatellite-based inference overestimated the hybridization frequency between these two species. Since we did not detect methodological issues with the analyses of Johanet et al., our results suggest that SNP approaches outperform microsatellite-based assessments of hybridization frequency, and that conclusions previously published on this topic with a small number of microsatellite loci should be taken with caution, and ideally be repeated with an increased genomic coverage.
Design and Evaluation of Peer Supervision for Community Mental Health Workers: A Task-Shifting Strategy in Low-Resource Settings
Authors: Pallikkuth Rekha , Manoj Kumar T. , Dictus Claudia T. , Bunders-Aelen J. F. G. 
Published: September 2023

AbstractThe use of Lay Mental Health Workers (LMHWs) to tackle the treatment gap in low-resource settings is well established, and although they often receive training, the potential of proper supervision to improve outcomes remains untapped. Indeed, given the strain on expert resources, peer-supervision models based on supervisors’ seniority of work experience have significant potential especially in relation to community knowledge and embedding of LMHWs. This study summarizes the evaluation of a pilot program for peer supervision on the basis of Social Cognitive Theories of Self-Efficacy for LMHWs in Kerala, India. Two experienced LMHWs worked as supervisors for a total of 12 LMHWs over the course of a year. These participants were subsequently interviewed to analyze their experiences in order to evaluate the potential of peer supervision and distil relevant information to improve future training of LMHWs. The findings include improved performance and emotional support for the participants.
Factors influencing the use of information and communication technologies by students for educational purposes
Authors: Silva João C. , Coelho Rodrigues José , Miguéis Vera L. 
Published: September 2023

AbstractImplementation of information and communication technologies (ICTs) in education is defined as the incorporation of ICTs into teaching and learning activities, both inside and outside the classroom. Despite widely studied, there is still no consensus on how it affects student performance. However, before evaluating this, it is crucial to identify which factors impact students' use of ICT for educational purposes. This understanding can help educational institutions to effectively implement ICT, potentially improving student results. Thus, adapting the conceptual framework proposed by Biagi and Loi (2013) and using the 2018 database of the Program for International Student Assessment (PISA) and a decision tree classification model developed based on CRISP-DM framework, we aim to determine which socio-demographic factors influence students' use of ICT for educational purposes. First, we categorized students according to their use of ICT for educational purposes in two situations: during lessons and outside lessons. Then, we developed a decision tree model to distinguish these categories and find patterns in each group. The model was able to accurately distinguish different levels of ICT adoption and demonstrate that ICT use for entertainment and ICT access at school and at home are among the most influential variables to predict ICT use for educational purposes. Moreover, the model showed that variables related to teaching best practices of Internet utilization at school are not significant predictors of such use. Some results were found to be country-specific, leading to the recommendation that each country adapts the measures to improve ICT use according to its context.
Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land
Authors: Ecker Klaus Thomas , Meier Eliane Seraina , Tillé Yves 
Published: September 2023

AbstractBiodiversity loss on agricultural land is a major concern. Comprehensive monitoring is needed to quantify the ongoing changes and assess the effectiveness of agri-environmental measures. However, current approaches to monitoring biodiversity on agricultural land are limited in their ability to capture the complex pattern of species and habitats. Using a real-world example of plant and habitat monitoring on Swiss agricultural land, we show how meaningful and efficient sampling can be achieved at the relevant scales. The multi-stage sampling design of this approach uses unequal probability sampling in combination with intermediate small-scale habitat sampling to ensure broad representation of regions, landscape types, and plant species. To achieve broad coverage of temporary agri-environmental measures, the baseline survey on permanent plots is complemented by dynamic sampling of these specific areas. Sampling efficiency and practicality are ensured at all stages of sampling through modern sampling techniques, such as unequal probability sampling with fixed sample size, self-weighting, spatial spreading, balancing on additional information, and stratified balancing. In this way, the samples are well distributed across ecological and geographic space. Despite the high complexity of the sampling design, simple estimators are provided. The effects of stratified balancing and clustering of samples are demonstrated in Monte Carlo simulations using modelled habitat data. A power analysis based on actual survey data is also presented. Overall, the study could serve as a useful example for improving future biodiversity monitoring networks on agricultural land at multiple scales.
Variability of heat stress using the UrbClim climate model in the city of Seville (Spain): mitigation proposal
Authors: Hidalgo-García David , Rezapouraghdam Hamed 
Published: September 2023

AbstractClimate change is creating an increase in temperatures, which is harming the quality of life of people all over the world, particularly those with minimal financial resources. While 30% of the world’s population is now vulnerable to extreme heat, estimates show that ratio will rise to 74% in the next 20 years, according to forecasts. Using the UrbClim climate model, this study examines the space-time variability of the heat stress index (HI) in different local climate zones (LCZs), as well as how heat wave conditions might affect this index based on land use and land cover. To that end, Seville, in Southern Spain, was investigated during the summer of 2017, when it had four heat waves. The following indices were considered for each urban sub-area: Normalized Difference Vegetation, Proportion Vegetation, Normalized Difference Built, and Urban Index. The goal is to conduct a statistical analysis of the link between the aforementioned elements and the heat stress index in order to recommend mitigation and resilience techniques. Our findings showed that compact and industrial LCZs (2, 3, and 10) are less resistant to HI than open and rural regions (5, 6, B, D, and G), which are more resistant to HI due to higher vegetation rates. The heat wave condition exacerbates the HI in all LCZs. As a result, initiatives such as enhancing open space, increasing green space, or using green roofs and façades might alleviate heat stress and improve people’s quality of life.
Digitising reflective equilibrium
Authors: Smith Charlie Harry 
Published: September 2023

AbstractReflective equilibrium is overdue a twenty-first century update. Despite its apparent popularity, there is scant evidence that theorists ever thoroughly implement the method, and fewer still openly and transparently publish their attempts to do so in print—stymying its supposed justificatory value. This paper proposes digitising reflective equilibrium as a solution. Inspired by the global open science movement, it advocates for coupling a novel, digital implementation of the equilibrating process with new publication norms that can capitalise on the inherent reproducibility of digital data. The argument is structured around three main claims: that digitising will make it easier to (a) methodically construct, (b) widely disseminate, and (c) thoroughly critique reflective equilibria. Practical guidance is also provided throughout. Altogether, it is argued that digitisation will not only help theorists to better realise reflective equilibrium’s latent theoretical potential, but also greatly extend its value as a justificatory device in contemporary academic discourses.
Relationships between Adverse Childhood Experiences and Demographic Characteristics in a National Australian Sample
Authors: Chainey Carys , Burke Kylie , Haynes Michele 
Published: September 2023

AbstractAdverse childhood experiences (ACEs) are prevalent across the globe. They have been associated with a range of demographic characteristics and poor outcomes throughout the life course, however, little is known of the Australian context. We aimed to estimate the prevalence of ACEs in an Australian sample and identify demographic characteristics of children who experience adversity. We used data from the National Health Survey Australia 2014–15 to explore adversities experienced by children (aged 0–17) living with the 4161 adult respondents. Three types of adversity were examined: living with only one parent, parental mental health condition, and parental substance use problem. Bivariate associations and hierarchical multiple regression analyses were used to investigate the relationships between the number of adversities reported and demographic characteristics. At least one-third of children had experienced one or more adversities, and almost 8% had experienced multiple adversities. Adversity was reported by respondents across all categories of demographic variables. The experience of adversity was significantly related to demographic characteristics measured at the level of geographic area, household, and individual. Adversity may be affecting at least one-third of Australian children, across a broad range of contexts. Implications for policy, practice and research are discussed.