bluuebunny/crossref_metadata_2025_split huggingface dataset:
A data‐driven approach to multiple‐stressor impact assessment for a marine protected area
Authors: Griffiths Laura L. , Williams Joel , Buelow Christina A. , Tulloch Vivitskaia J. , Turschwell Mischa P. , Campbell Max D. , Harasti David , Connolly Rod M. , Brown Christopher J. 
Published: September 2023

AbstractThe coastal environment is not managed in a way that considers the impact of cumulative threats, despite being subject to threats from all realms (marine, land, and atmosphere). Relationships between threats and species are often nonlinear; thus, current (linear) approaches to estimating the impact of threats may be misleading. We developed a data‐driven approach to assessing cumulative impacts on ecosystems and applied it to explore nonlinear relationships between threats and a temperate reef fish community. We used data on water quality, commercial fishing, climate change, and indicators of recreational fishing and urbanization to build a cumulative threat map of the northern region in New South Wales, Australia. We used statistical models of fish abundance to quantify associations among threats and biophysical covariates and predicted where cumulative impacts are likely to have the greatest impact on fish. We also assessed the performance of no‐take zones (NTZs), to protect fish from cumulative threats across 2 marine protected area networks (marine parks). Fishing had a greater impact on fish than water quality threats (i.e., percent increase above the mean for invertivores was 337% when fishing was removed and was 11% above the mean when water quality was removed inside NTZs), and fishing outside NTZs affected fish abundances inside NTZs. Quantifying the spatial influence of multiple threats enables managers to understand the multitude of management actions required to address threats.
Application of protection motivation theory in epidemic prevention in patients with respiratory diseases under the COVID‐19 pandemic: A cross‐sectional study
Authors: Guan Jian , Zhang Yingying , You Shan , Li Yujing , Zhao Hongxing , Bu Weiqin , Xie Yanping 
Published: September 2023

AbstractObjectiveThis study aimed to investigate the effects of nursing intervention based on protection motivation theory (PMT) on patients with respiratory diseases in the context of the Coronavirus Disease 2019 (COVID‐19) pandemic.MethodsA total of 74 patients with respiratory diseases who were hospitalized from June 2020 to February 2021 were enrolled and stratified into a control group (n = 37) and an experimental group (n = 37) according to a stratified random sampling method. The control group adopted a routine nursing intervention program of the respiratory department, whereas the experimental group received a PMT‐based nursing intervention program on the basis of the control group. Chronic Disease Self‐Management Study Measures (CDSMS) and Self‐Efficacy for Managing Chronic Diseases 6‐item Scale (SECD6) were used to evaluate the effect of PMT intervention before intervention, after 1 week, and after 4 weeks of intervention. The levels of forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV1/FVC and peak expiratory flow (PEF) were measured to evaluate pulmonary function.ResultsBefore the intervention, there were no significant differences in the scores of CDSMS and SECD6 scales and liver function indexes between the two groups (p > 0.05). After 1 and 4 weeks of intervention, the scores of CDSMS and SECD6 scales of the experimental group were significantly higher than those of the control group (p < 0.0001). The indexes of pulmonary function of the experimental group were improved, but there was no significant difference compared with the control group (p > 0.05).ConclusionNursing intervention based on PMT contributes to the improvement of self‐management behaviors and self‐efficacy, which is conducive to the prognoses of patients.
Pitfalls in diagnosing a case of extranodal NK/T‐cell lymphoma with CD20 aberrant expression and IGH gene rearrangement
Authors: Liu Chenxi , Li Fan , Mao Chunyan , Dangzeng Zhuoma , Wang Lin 
Published: September 2023

AbstractExtranodal NK/T‐cell lymphoma (ENKTL) is a subtype of non‐Hodgkin lymphoma mainly derived from NK cells and, uncommonly, T‐cells. A diagnostic challenge is presented when an atypical phenotype and gene rearrangement are encountered. Herein, we report a case of ENKTL with CD20 expression and IGH gene rearrangement, which is extremely rare. A 57‐year‐old female patient was seen in 2021 due to a nodule on her left leg and simultaneously impaired eyesight for 6 months. Skin biopsy and immunohistochemistry were performed. The lymphoid cells were positive for CD3, CD56, granzyme B, and TIA‐1, partially positive for CD2, and mildly positive for CD20. In situ hybridization for Epstein–Barr virus was positive. Molecular studies revealed immunoglobulin heavy chain (IGH) gene rearrangement, while no T‐cell receptor gene rearrangement was detected. The positron emission tomography scan showed that the lymphoma affected bilateral adrenal glands, pelvic cavity, peritoneal cavity, small intestine, skin, and subcutis of the bilateral lower extremities of the patient. Her disease progressed despite eight cycles of chemotherapy and radiation therapy. The importance of this case lies in the atypical phenotype and IGH gene rearrangements, necessitating comprehensive interpretation of clinicopathological data.
Chronicles of Debt Crises Foretold
Authors: Chowdhury Anis , Sundaram Jomo Kwame 
Published: September 2023

ABSTRACTThe debt crises looming in developing countries are being exacerbated by changing debt composition. Declining net foreign exchange earnings have worsened their predicament. As concessional development finance declined, many governments turned to riskier forms of borrowing from international capital markets. Concerted interest rate hikes are supposed to stem inflation; however, given that prices have mainly risen due to supply chain disruptions caused by war, sanctions and pandemic, interest rate increases are likely to trigger more debt crises, much worse than before. Current discourses, for example about China's ‘debt trap’ diplomacy, distract from urgently needed international and national measures to avert the looming debt crises.
No evidence of compensatory changes in energy balance, despite reductions in body weight and liver fat, during dapagliflozin treatment in type 2 diabetes mellitus: A randomized, double‐blind, placebo‐controlled, cross‐over trial (ENERGIZE)
Authors: Rajeev Surya Panicker , Roberts Carl Alexander , Brown Emily , Sprung Victoria S. , Harrold Jo A. , Halford Jason C. G. , Stancak Andrej , Boyland Emma J. , Kemp Graham J. , Perry Julie , Howarth Elaine , Jackson Richard , Wiemken Andrew , Schwab Richard , Cuthbertson Daniel J. , Wilding John P. H. 
Published: September 2023

AbstractAimThis study assessed the impact of dapagliflozin on food intake, eating behaviour, energy expenditure, magnetic resonance imaging (MRI)‐determined brain response to food cues and body composition in patients with type 2 diabetes mellitus (T2D).Materials and MethodsPatients were given dapagliflozin 10 mg once daily in a randomized, double‐blind, placebo‐controlled trial with short‐term (1 week) and long‐term (12 weeks) cross‐over periods. The primary outcome was the difference in test meal food intake between long‐term dapagliflozin and placebo treatment. Secondary outcomes included short‐term differences in test meal food intake, short‐ and long‐term differences in appetite and eating rate, energy expenditure and functional MRI brain activity in relation to food images. We determined differences in glycated haemoglobin, weight, liver fat (by 1H magnetic resonance spectroscopy) and subcutaneous/visceral adipose tissue volumes (by MRI).ResultsIn total, 52 patients (43% were women) were randomized; with the analysis of 49 patients: median age 58 years, weight 99.1 kg, body mass index 35 kg/m2, glycated haemoglobin 49 mmol/mol. Dapagliflozin reduced glycated haemoglobin by 9.7 mmol/mol [95% confidence interval (CI) 3.91‐16.27, p = .004], and body weight (−2.84 vs. −0.87 kg) versus placebo. There was no short‐ or long‐term difference in test meal food intake between dapagliflozin and placebo [mean difference 5.7 g (95% CI −127.9 to 139.3, p = .933); 15.8 g (95% CI −147.7 to 116.1, p = .813), respectively] nor in the rate of eating, energy expenditure, appetite, or brain responses to food cues. Liver fat (median reduction −4.7 vs. 1.95%), but not subcutaneous/visceral adipose tissue, decreased significantly with 12 weeks of dapagliflozin.ConclusionsThe reduction in body weight and liver fat with dapagliflozin was not associated with compensatory adaptations in food intake or energy expenditure.
Taxonomical re‐examination of the genus Phyllosticta—Parasitic fungi on Cupressaceae trees in Japan
Authors: Hattori Yukako , Motohashi Keiichi , Tanaka Kazuaki , Nakashima Chiharu 
Published: September 2023

AbstractTaxonomical re‐examination of the Phyllosticta species parasitic fungi on coniferous trees (Cupressaceae) in Japan was conducted based on current criteria, such as morphological and cultural characteristics, phylogenetic relationship and pathogenicity. Phylogenetic analyses revealed several clades composed of plant pathogens isolated from a specific host as well as clades composed of endophytic species isolated from various Cupressaceae trees. Each clade was recognized as a species from the morphological characteristics and other features, respectively. Five species of Phyllosticta sensu stricto were recognized, and two of them were newly recorded in Japanese mycoflora. Furthermore, new comibination P. pilospora and its epitype are proposed. The epitype and ex‐type strain are also proposed for P. cryptomeriae in this study.
Maternal intrapartum fever during epidural labour analgesia: Incidence and influencing factors
Authors: Yuan Jinhua , Jin Aiying , Shen Jie , Chen Youguo , Huang Qin , Xiang Haiyan 
Published: September 2023

AbstractBackgroundThe management and nursing care of women's temperature during delivery is an important part of clinical obstetrics. We aimed to evaluate maternal intrapartum fever during epidural labour analgesia to provide evidence for the management and care of women in labour.MethodsThis study was conducted and reported according to the STROBE statement. Women in labour undergoing epidural labour analgesia in our hospital from 1 January 2021 to 31 August 2022 were retrospectively selected. The characteristics of women in labour with and without intrapartum fever were compared. Pearson correlation and logistic regression analysis were used to analyse the influencing factors of postpartum fever.ResultsA total of 196 women in labour were included, the incidence of maternal intrapartum fever in women in labour undergoing epidural analgesia was 27.5%. Pearson correlation analyses showed that BMI, oxytocin use, labour duration, number of vaginal examinations, time from rupture of the foetal membranes to the end of labour and duration of epidural analgesia were all correlated with the occurrence of intrapartum fever (all P < 0.05). Logistic regression analyses indicated that body mass index ≥28 kg/m2(OR = 1.825), oxytocin use (OR = 2.082), labour duration ≥9.2 h (OR = 2.613), number of vaginal examinations ≥8 (OR = 2.044–3.115), the time from rupture of the foetal membranes to the end of labour ≥250 min (OR = 2.766) and duration of epidural analgesia ≥300 min (OR = 3.106) were risk factors for intrapartum fever in women in labour undergoing epidural analgesia (all P < 0.05).ConclusionsMaternal intrapartum fever in women in labour undergoing epidural analgesia is common and influenced by many factors. Nurses should take early preventive care measures according to these factors during epidural analgesia in labour.
Exposure of Tritrichomonas foetus to sublethal doses of metronidazole induces a specific proinflammatory response in murine macrophages
Authors: Ceballos‐Góngora Emanuel , Torres‐Romero Julio César , Arana‐Argáez Victor Ermilo , Alvarez‐Sánchez María Elizbeth , Acosta‐Viana Karla , Euan‐Canto Antonio , Alvarez‐Sánchez Leidi Cristal 
Published: September 2023

AbstractTritrichomonas foetus is a flagellated parasite that primarily infects the reproductive tissues of livestock, causing bovine trichomoniasis. The cytoplasmic membrane of T. foetus contains various compounds that contribute to adherence, colonization, and pathogenicity. Metronidazole (MTZ) is the main treatment for trichomoniasis, but the emergence of drug‐resistant strains is a concern due to improper use and dosing. T. foetus infection induces inflammation, and macrophages are key players in the immune response. However, our understanding of the host's immune response to T. foetus is limited, and the specific mechanisms underlying these responses are not well understood. This study aimed to investigate the impact of T. foetus surface proteins from trophozoites cultured under different sublethal MTZ conditions (MTZ‐treated T. foetus MPs) on macrophage activation. By analyzing cytokine levels and gene expression in murine macrophages, we demonstrated that MTZ‐treated T. foetus MPs induce a specific proinflammatory response. MTZ‐treated T. foetus MPs‐exposed macrophages exhibited a higher NO and H2O2 production and overexpression of iNOS and NOX‐2 genes in comparison to untreated T. foetus. Additionally, MTZ‐treated T. foetus MPs triggered a significant induction of the proinflammatory cytokines IL‐1β, IL‐6, TNF‐α, and IFN‐γ, as well as the overexpression of the TLR4, MyD88, and NF‐κB genes on murine macrophages. The study aimed to unravel the immunological response and potential proinflammatory pathways involved in T. foetus infection and MTZ stress. Understanding the immune responses and mechanisms through which T. foetus surface proteins activate macrophages can contribute to the development of new therapeutic strategies for controlling bovine trichomoniasis.
Mitochondrial phylogeny of fusilier fishes (family Caesionidae) from the Laccadive archipelago reveals a new species and two new records from the Central Indian Ocean
Authors: Kar Chinmay , Mariyambi Puthiyara Chetta , Raghavan Rajeev , Sureshkumar Sivanpillai 
Published: September 2023

AbstractFusiliers of the family Caesionidae comprise a group of Indo‐Pacific reef fishes important in the live bait and artisanal fisheries in many parts of its range, particularly in the Indian Ocean region. Using newly generated mitochondrial COI sequences of 10 species of caesionid fishes from the Laccadive archipelago, we carried out a molecular phylogenetic analysis, which has helped improve our understanding of the diversity, distribution, and systematics of this poorly known group of fishes. The two speciose genera within Caesionidae, Caesio and Pterocaesio, were revealed to be paraphyletic, and as a result, four names earlier considered as subgenera within Caesionidae (Flavicaesio, Odontonectes, Pisinnicaesio, and Squamosicaesio) were elevated to the status of distinct genera. We also discovered the presence of a new lineage in the Central Indian Ocean, sister to Caesio caerulaurea and Caesio xanthalytos, but distinct from both in several morphological characters and a genetic distance of between 2% and 3% in the mitochondrial COI gene. We describe this lineage as Caesio idreesi, a new species, with a distribution spanning the Laccadive Sea and the Bay of Bengal. Our genetic data also helped confirm the first confirmed records of two species, Pisinnicaesio digramma and Squamosicaesio randalli, from the Central Indian Ocean, and a new distribution record for C. xanthalytos in the Laccadive Sea. Combined, these results have helped bridge key biodiversity knowledge gaps of the family Caesionidae and form an excellent baseline for further investigations on their taxonomy, systematics, and life history.
Exploring the terminological validity of ‘chronic pain’ nursing diagnosis: A retrospective descriptive study using nursing diaries
Authors: Ramacciati Nicola , Metlichin Elisabetta , Giusti Gian Domenico 
Published: September 2023

AbstractAimThe aim of this study is to generate empirical evidence, drawing from clinical records, with the goal of elevating the level of evidence supporting the nursing diagnosis (ND) of ‘chronic pain’.BackgroundChronic pain is a prevalent condition that affects all age groups. Patients often feel disbelieved about their pain perception, leading to adverse psychological effects, difficulty accessing healthcare and poor rehabilitation outcomes.DesignRetrospective descriptive study. Standards for Reporting Diagnostic Accuracy Studies guidelines were followed in this study.MethodsData were extracted from Electronic Health Records (EHR) of patients admitted to the University Hospital of Perugia, Italy, between March 2016 and December 2022. The study sample comprised individuals without a specific medical diagnosis or high‐risk population. Out of 1,048,565 EHR, 43,341 clinical‐nursing diaries with the keyword ‘pain’ were identified, from which 283 clinical‐nursing notes were selected based on a keyword‐based retrieval technique and diagnostic definition for further analysis.ResultsOur study findings support the diagnostic descriptors of the ‘chronic pain’ ND in clinical‐nursing diaries. We observed the presence of 9 out of 11 defining characteristics, 7 out of 10 related factors, 4 out of 8 at‐risk populations and 11 out of 17 associated conditions.ConclusionsThe study validated diagnostic criteria for chronic pain and proposed ‘haematological pathology’ as a new associated condition. The findings were presented to the Diagnosis Development Committee of NANDA‐International for further review. However, limitations of the study prompted the need for further analysis using natural language processing and artificial neural network techniques. As a result, a new research direction using artificial intelligence (AI) tools was initiated.Relevance to Clinical PracticeThe study validates diagnostic descriptors for chronic pain and proposes future directions in semantic analysis and AI tools, aiming to enhance clinical practice and decision‐making in nursing care.Patient or Public ContributionNo patient or public contribution.
When to p and when not to p
Authors: Bangdiwala Shrikant I. 
Published: September 2023

AbstractThe p‐value was proposed in the early 20th century as a potentially useful metric for statistical inference and was defined as “the probability of the observed result, plus more extreme results, if the null hypothesis were true,” in the context of a formal statistical testing process. A century later, the scientific community uses it extensively, mostly inappropriately, and often interprets it incorrectly. This editorial briefly reviews the history of the p‐value, provides how to properly interpret it, and recommends when to use it and when not to use it.
The role of conflict in shaping plant biodiversity
Authors: Coughlan Jenn M. 
Published: September 2023

SummaryAlthough intrinsic postzygotic reproductive barriers can play a fundamental role in speciation, their underlying evolutionary causes are widely debated. One hypothesis is that incompatibilities result from genomic conflicts. Here, I synthesize the evidence that conflict generates incompatibilities in plants, thus playing a creative role in plant biodiversity. While much evidence supports a role for conflict in several classes of incompatibility, integrating knowledge of incompatibility alleles with natural history can provide further essential tests. Moreover, comparative work can shed light on the relative importance of conflict in causing incompatibilities, including the extent to which their evolution is repeatable. Together, these approaches can provide independent lines of evidence that conflict causes incompatibilities, cementing its role in plant speciation.
The risk of suicidal intention in severe mental illness: An ecological perspective
Authors: Lin Yawen , Wei Qinfei , Luo Suping , Ye Xiaoying , Zheng Fuhao , Zheng Liuyan , Lu Xinyue , Li Huangyuan , Wu Siying 
Published: September 2023

AbstractObjectiveGuided by the ecosystem theory model framework, we aimed to explore the influence of three ecological dimensions (social, family and psychological factors) on suicidal intention in people with severe mental illness (SMI). We hypothesized that three factors influence suicidal intention, and that psychological factors may play a mediating role in the influence of social and family factors on suicidal intention.MethodsWe collected 994 patients with SMI aged 18 and above from May 2021 to March 2022 in the Fourth Hospital of Fuzhou City. We used logistic regression to analyse the association between social, family, psychological factors and suicidal intention. Furthermore, we explored the mediating effects among the influencing factors.ResultsYounger male patients with schizophrenia were more likely to have suicidal intention due to psychosocial family factors (p < .05). Social factors (poor interpersonal relations, social retreat, social activities outside the home), family factors (parental functions, activities within the family, family functions), psychological factors (anxiety, depression, interest in the outside world, overt aggression, lack of accountability and planning) were all independent risk factors for suicidal intention in patients. Mediation analysis showed anxiety and depression mediated the role of social and family factors on suicidal intention (p < .05).ConclusionSocial, family and psychological factors were important risk factors for suicidal intention, with anxiety and depression being partial mediators for suicidal intention. Therefore, interventions that enhance family and social functioning and reduce anxiety and depression may be effective in reducing suicidal intention in SMI.
Decoding agency attribution using single trial error‐related brain potentials
Authors: Gomez‐Andres Alba , Cerda‐Company Xim , Cucurell David , Cunillera Toni , Rodríguez‐Fornells Antoni 
Published: September 2023

AbstractBeing able to distinguish between self and externally generated actions is a key factor influencing learning and adaptive behavior. Previous literature has highlighted that whenever a person makes or perceives an error, a series of error‐related potentials (ErrPs) can be detected in the electroencephalographic (EEG) signal, such as the error‐related negativity (ERN) component. Recently, ErrPs have gained a lot of interest for the use in brain–computer interface (BCI) applications, which give the user the ability to communicate by means of decoding his/her brain activity. Here, we explored the feasibility of employing a support vector machine classifier to accurately disentangle self‐agency errors from other‐agency errors from the EEG signal at a single‐trial level in a sample of 23 participants. Our results confirmed the viability of correctly disentangling self/internal versus other/external agency‐error attributions at different stages of brain processing based on the latency and the spatial topographical distribution of key ErrP features, namely, the ERN and P600 components, respectively. These results offer a new perspective on how to distinguish self versus externally generated errors providing new potential implementations on BCI systems.