bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transient inhibition of neutrophil functions enhances the antitumor effect of intravenously delivered oncolytic vaccinia virus
Authors: Zhou Danya , Xu Wei , Ding Xuping , Guo Haoran , Wang Jianyao , Zhao Guanghao , Zhang Chenglin , Zhang Zhongxian , Wang Zhimin , Wang Pengju , Lu Liming , Yuan Ming 
Published: February 2024

AbstractOncolytic viruses (OVs) possess the unique ability to selectively replicate within tumor cells, leading to their destruction, while also reversing the immunosuppression within the tumor microenvironment and triggering an antitumor immune response. As a result, OVs have emerged as one of the most promising approaches in cancer therapy. However, the effective delivery of intravenously administered OVs faces significant challenges imposed by various immune cells within the peripheral blood, hindering their access to tumor sites. Notably, neutrophils, the predominant white blood cell population comprising approximately 50%–70% of circulating white cells in humans, show phagocytic properties. Our investigation revealed that the majority of oncolytic vaccinia viruses (VV) are engulfed and degraded by neutrophils in the bloodstream. The depletion of neutrophils using the anti‐LY6G Ab (1‐A8) resulted in an increased accumulation of circulating oncolytic VV in the peripheral blood and enhanced deposition at the tumor site, consequently amplifying the antitumor effect. Neutrophils heavily rely on PI3K signaling to sustain their phagocytic process. Additionally, our study determined that the inhibition of the PI3Kinase delta isoform by idelalisib (CAL‐101) suppressed the uptake of oncolytic VV by neutrophils. This inhibition led to a greater presence of oncolytic VV in both the peripheral blood and at the tumor site, resulting in improved efficacy against the tumor. In conclusion, our study showed that inhibiting neutrophil functions can significantly enhance the antitumor efficacy of intravenous oncolytic VV.
Whose benefactors? Whose beneficiaries?—Negotiating help at the intersection between the family and the state
Authors: Jørgensen Sabine Ellung 
Published: February 2024

AbstractSocial work is characterized as a helping profession. Consequently, the nature and purposes of social work revolve around concepts of help and helping. In this article, I explore what happens when the extended family network and friends are brought together by child welfare services to make decisions to help a child. Based on analyses of a single videotaped family group conference, this article offers insights into the challenges and complexities families face when dealing with the mandated task to devise a plan that meets the child's needs. By examining sequences of interaction where friends and family members discuss future scenarios with some cast as beneficiaries and others as benefactors, I show how some of these complexities can be captured in terms of the relationship between benefactive stance and benefactive status. The complexities include ambiguities regarding the relationship between nominated future scenarios and the problem(s) they were designed to solve. Furthermore, participants dealt with uncertainties regarding who was more inclined towards specific future scenarios and thus understood to be the actual beneficiary. Additionally, the analysis shows that social identities ascribed to recipients when resolutions to problems were linked to family members' past shortcomings complicated the acknowledgement and acceptance of assistance.
Pharmacotherapy in the heart transplant recipient: A primer for nurse clinicians and pharmacists
Authors: Fraser Meg , Page Robert L. , Chow Sheryl , Alexy Tamas , Peters Laura 
Published: February 2024

AbstractHeart transplantation (HT) is the definitive treatment for eligible patients with end‐stage heart disease. A major complication of HT is allograft rejection which can lead to graft dysfunction and death. The guiding principle of chronic immunosuppression therapy is to prevent rejection of the transplanted organ while avoiding oversuppression of the immune system, which can cause opportunistic infections and malignancy. The purpose of this review is to describe immunosuppressive management of the HT recipient—including agent‐specific pharmacology and pharmacokinetics, outcomes data, adverse effects, clinical considerations, and recent guideline updates. We will also provide recommendations for medical prophylaxis of immunosuppressed patients based on the most recent clinical guidelines. Additionally, we highlight the importance of medical therapy adherence and the effect of social determinants of health on the long‐term management of HT. HT recipients are a complex and high‐risk population. The objective of this review is to describe basic pharmacotherapy in HT and implications for nurses and pharmacists.
Improving value delivery in living donor kidney transplant through process improvement
Authors: Garcia Jorge Sanchez , Tien Chloe , Fife Megan , Dillon Brittany , Dow Sean , Zafar Zubair , Morris Donald , Anand Sanjiv 
Published: February 2024

AbstractIntroductionLiving donor kidney evaluation has substantial time variations with significant intercenter variation. One‐day donor evaluation has shown to be clinically efficient and improve transplant rates. However, patients’ perception of 1‐day evaluation is unknown. We hypothesized that 1 day LKD evaluation will improve patient satisfaction and improve living donation rates.MethodsAll interested LD candidates from April 2018 to May 2020 were enrolled in the study. Non‐directed donors, donors greater than 60 years old, and recipients with more than three donors underwent multi‐day evaluation (control group) while the rest underwent 1‐day evaluation (intervention group). An anonymous survey was filled by both groups to assess their perceptions on different areas including time, communication, experience, information provided, and their preferences on living donor evaluation.ResultsDonor candidates in the 1‐day evaluation group selected that the time from the questionnaire to clinic evaluation took “under 1 month” or “less than 3 months” (62.5% vs. 15.8%, p = .002), with “excellent” for both scheduling process (65% vs. 31.6%, p = .03) and communication (82.5% vs. 57.9%, p = .09) when compared to candidates in the multiple‐days evaluation group. One‐day candidates felt “very satisfied” with the overall experience (95% vs. 68.4%, p = .02) and felt “extremely well” with the information provided regarding the living donor process (87.5% vs. 47.4%, p = .003) when compared to multiple‐day evaluation group. Regardless of the group, 53 (89.8%) patients preferred 1‐day evaluation.ConclusionWe demonstrate 1‐day living donor evaluation is efficient, patient preferred, and adds value through improved communication, and better overall patient satisfaction.
Impact of single‐trial avoidance learning on subsequent sleep
Authors: Zhang Qianwen , Chen Fujun 
Published: February 2024

AbstractBoth non‐rapid eye movement (NonREM) sleep and rapid eye movement (REM) sleep, as well as sleep spindle and ripple oscillations, are important for memory formation. Through cortical EEG recordings of prefrontal cortex and hippocampus during and after an inhibitory avoidance task, we analysed the dynamic changes in the amounts of sleep, spindle and ripple oscillations related to memory formation. The total amount of NonREM sleep was reduced during the first hour after learning. Moreover, significant decrease of the total spindle and ripple counts was observed at the first hour after learning as well. In addition, foot shock alone, with no associated learning, produced little effect on the dynamics of sleep oscillations, indicating that the learning experience is necessary for these changes to occur.
A novel hybrid CNN methodology for automated leaf disease detection and classification
Authors: Kaur Prabhjot , Mishra Anand Muni , Goyal Nitin , Gupta Sachin Kumar , Shankar Achyut , Viriyasitavat Wattana 
Published: February 2024

AbstractPlant leaf diseases are challenging to categorize due to the complexity of the pattern variations and the high degrees of inter‐class similarity. Plant ailments harm food quality and production. To ensure the quality and quantity of harvests, it is essential to protect plants from disease. Detection of diseases at an early stage is the main and the most complex task for farmers due to common morphological properties like colour, shape, texture, and edges. In this study, a Hybrid Deep Learning model named Hybrid‐Convolutional Support Machine (H‐CSM) based on ‘Support Vector Machine (SVM)’, ‘Convolutional Neural Network (CNN)’ and ‘Convolutional Block Attention Module (CBAM)’ is proposed for the early diagnosis and classification of leaf diseases in plants leaf. The suggested model can initially identify different plant leaf illnesses, although it is not constrained to these. A database of pictures of plant leaves is used to test the suggested method based on different evaluation parameters. The results were highly promising, with an accuracy of up to 98.72% which has been increased by applying better learning methods. Farmers can quickly identify 36 common diseases with a little instruction for 14 plant categories, enabling them to take prompt preventive measures using the proposed method.
Algal‐ and soil‐derived dissolved organic matter shapes bacteria‐phytoplankton interactions in a high‐altitude lake
Authors: Dory Flavia , Cavalli Laurent , Franquet Evelyne , Van Wambeke France , Misson Benjamin , Mounier Stéphane , Martino Christian , Oursel Benjamin , Tatoni Thierry , Bertrand Céline 
Published: February 2024

Abstract

Allochthonous and autochthonous dissolved organic matter (DOM) and nutrient availability (nitrogen [N], phosphorus [P]) are expected to increase in lakes as a consequence of climate change. These increases can alter the planktonic food web, especially in oligotrophic systems.

This study addresses the consequences of DOM and nutrient increase on heterotrophic bacterioplankton (Hbact) and phytoplankton in high‐altitude lakes. A planktonic community from a high‐altitude lake was incubated for 10 days and laboratory microcosms were subjected to a full factorial design 4 × 2 × 2 of three factors: carbon (C‐control, glucose, algal lysate, soil extract), inorganic nutrients (no added nutrients, addition of N and P) and light (light:dark cycle, dark).

Hbact was co‐limited by organic C and inorganic nutrients, resulting in lower biomass and production with glucose or inorganic nutrients added alone than with the two sources added in combination. Algal‐derived DOM was more labile, more consumed, and resulted in higher bacterial production, while soil‐derived DOM was less labile and less consumed. Phytoplankton was strongly limited by inorganic nutrients. DOM additions, via the interactions with Hbact, increased phytoplankton biomass and modified the community composition. Mixotrophs increased with C under light or nutrient limitation, pointing them as major factors in controlling mixotrophy in high‐altitude lakes. Soil‐derived DOM led to higher algal biomass, higher proportion of mixotrophs, and more taxa adapted to nutrient‐enriched conditions.

This study reveals a shift in planktonic interactions with changes in DOM quality and quantity. Under the projected climate change, we expect an increase in heterotrophy and a modification of trophic interactions with important repercussions on the C cycle in high‐altitude lakes.
The effect of microplastics on Daphnia fitness – Systematic review and meta‐analysis
Authors: Funke Elisabeth , Webb Lukas , Wolinska Justyna 
Published: February 2024

Abstract

Micro/nanoplastics pose a new environmental threat to aquatic ecosystems. The model organism Daphnia spp. has been used in many exposure studies to investigate the effect of micro/nanoplastics on organism fitness. However, owing to variation in experimental approaches, it is difficult to compare the findings. The aim of our study was to systematically review the research on the effect of micro/nanoplastics on Daphnia fitness, identify research gaps and offer recommendations for future studies.

We synthesised 121 studies and extracted data for numerous categories concerning study design, micro/nanoplastic characteristics and ecotoxicological endpoints. 32 studies were included in a meta‐analysis on the effect of micro/nanoplastics on Daphnia reproduction.

Existing research exhibits several limitations. The majority of experiments have been conducted exclusively using Daphnia magna, neglecting other species and leading to an inherent bias in the representation of the broader Daphnia genus. Then, these studies have predominantly used a single genotype of Daphnia, disregarding potential clonal variation. In addition, most experiments investigated only a single Daphnia generation, although the limited number of multigenerational studies available suggest an increasing toxicity trend with subsequent generations, even if there was no impact on the F0 generation.

Regarding the types of plastics tested, the majority of studies focused on pristine, spherical microplastic particles, primarily composed of polystyrene, with particle sizes of <100 μm, and at concentrations >0.1 mg/L. This narrow focus limits the applicability of the findings to environmentally relevant scenarios, where micro/nanoplastics can take various shapes and composition, undergo aging and usually occur at lower concentrations than those used in the studies reviewed.

The primary Daphnia response variable assessed was mortality, followed by variations in reproductive traits or body size. The meta‐analysis focusing on reproductive traits unveiled a consistent and adverse influence of micro/nanoplastics exposure on the production of offspring by Daphnia.

Future studies should test environmentally relevant concentrations of micro/nanoplastics, focus on smaller, lake‐inhabiting Daphnia species, incorporate clonal variation and extend the scope to include multiple Daphnia generations. Moreover, recognising the complexity of real‐world scenarios, we recommend integrating assessments of micro/nanoplastic effects with multiple stressors. By simulating such conditions, studies can yield insights that better mirror the complexities of ecological systems and provide a more accurate representation of the potential consequences of micro/nanoplastic pollution.
Religion's influence on consumption: A life course paradigm perspective
Authors: Minton Elizabeth A. , Cabano Frank G. 
Published: February 2024

AbstractThis article applies the life course paradigm to research on religion's influence on consumer behavior to provide an alternative perspective to theories explaining how religion influences consumption and marketing practice. While the life course paradigm has been shown to be highly influential in general consumer behavior research, this concept has been seemingly forgotten in the context of religion and consumer behavior, which is concerning given the role that religion can play in consumers' lives through various life transitions. Specifically, six major transitioning times in consumers' lives (leaving home, marriage, kids, retirement, spouse/parent death, and unexpected factors) are discussed with application to religion and consumer behavior research as well as future research directions. Discussion concludes with a call to action for more research on religion's influence on consumer behavior that is theoretically grounded utilizing the life course paradigm in an effort to more accurately understand the influence of religion on consumer behavior.
A predictive model for postoperative adverse outcomes following surgical treatment of acute type A aortic dissection based on machine learning
Authors: Xie Lin‐feng , Xie Yu‐ling , Wu Qing‐song , He Jian , Lin Xin‐fan , Qiu Zhi‐huang , Chen Liang‐wan 
Published: February 2024

AbstractAcute type A aortic dissection (AAAD) has a high probability of postoperative adverse outcomes (PAO) after emergency surgery, so exploring the risk factors for PAO during hospitalization is key to reducing postoperative mortality and improving prognosis. An artificial intelligence approach was used to build a predictive model of PAO by clinical data‐driven machine learning to predict the incidence of PAO after total arch repair for AAAD. This study included 380 patients with AAAD. The clinical features that are associated with PAO were selected using the LASSO regression analysis. Six different machine learning algorithms were tried for modeling, and the performance of each model was analyzed comprehensively using receiver operating characteristic curves, calibration curve, precision recall curve, and decision analysis curves. Explain the optimal model through Shapley Additive Explanation (SHAP) and perform an individualized risk assessment. After comprehensive analysis, the authors believe that the extreme gradient boosting (XGBoost) model is the optimal model, with better performance than other models. The authors successfully built a prediction model for PAO in AAAD patients based on the XGBoost algorithm and interpreted the model with the SHAP method, which helps to identify high‐risk AAAD patients at an early stage and to adjust individual patient‐related clinical treatment plans in a timely manner.
Construction and validation of a nomogram to predict left ventricular hypertrophy in low‐risk patients with hypertension
Authors: Zhang Xueyao , He Chuan , Lu Saien , Yu Haijie , Li Guangxiao , Zhang Pengyu , Sun Yingxian 
Published: February 2024

AbstractElectrocardiography (ECG) is an accessible diagnostic tool for screening patients with hypertensive left ventricular hypertrophy (LVH). However, its diagnostic sensitivity is low, with a high probability of false‐negatives. Thus, this study aimed to establish a clinically useful nomogram to supplement the assessment of LVH in patients with hypertension and without ECG‐LVH based on Cornell product criteria (low‐risk hypertensive population). A cross‐sectional dataset was used for model construction and divided into development (n = 2906) and verification (n = 1447) datasets. A multivariable logistic regression risk model and nomogram were developed after screening for risk factors. Of the 4353 low‐risk hypertensive patients, 673 (15.4%) had LVH diagnosed by echocardiography (Echo‐LVH). Eleven risk factors were identified: hypertension awareness, duration of hypertension, age, sex, high waist‐hip ratio, education level, tea consumption, hypochloremia, and other ECG‐LVH diagnostic criteria (including Sokolow–Lyon, Sokolow–Lyon products, and Peguero–Lo Presti). For the development and validation datasets, the areas under the curve were 0.724 (sensitivity = 0.606) and 0.700 (sensitivity = 0.663), respectively. After including blood pressure, the areas under the curve were 0.735 (sensitivity = 0.734) and 0.716 (sensitivity = 0.718), respectively. This novel nomogram had a good predictive ability and may be used to assess the Echo‐LVH risk in patients with hypertension and without ECG‐LVH based on Cornell product criteria.
The identification and management of depression in UK Kidney Care: Results from the Mood Maps Study
Authors: Chilcot Joseph , Pearce Christina J. , Hall Natalie , Busby Amanda D. , Hawkins Janine , Vraitch Balvinder , Rathjen Mandy , Hamilton Alexander , Bevin Amanda , Mackintosh Lucy , Hudson Joanna L. , Wellsted David , Jones Julia , Sharma Shivani , Norton Sam , Ormandy Paula , Palmer Nick , Farrington Ken 
Published: February 2024

AbstractBackgroundDepression is common in people with chronic kidney disease, yet little is known about how depression is identified and managed as part of routine kidney care.ObjectivesThe primary objective was to survey all UK adult kidney centres to understand how depression is identified and managed. A secondary objective was to broadly describe the variability in psychosocial care.DesignOnline survey.MethodsThe survey comprised of three sections: (1) general kidney care, (2) psychological provision and (3) social work provision.Results48/68 (71%) of centres responded to the general survey with 20 and 13 responses from psychological and social work module respectively. Only 31.4% reported having both in centre psychological and social work practitioners. Three centres reported no access to psychosocial provision. Of the 25 centres who reported on pathways, 36.0% reported having internal pathways for the identification and management of depression. Within services with psychological provision, screening for depression varied across modality/group (e.g., 7.1% in mild/moderate chronic kidney disease vs. 62.5% in kidney donors). Cognitive Behavioural Therapy and Acceptance and Commitment Therapy were the most common interventions offered. Most psychosocial services were aware of the National Institute for Health and Care Excellence guidelines for managing depression in long‐term conditions (n = 18, 94.7%) yet few fully utilised (n = 6, 33.3%). Limited workforce capacity was evident.ConclusionsThere is considerable variability in approaches taken to identify and treat depression across UK kidney services, with few services having specific pathways designed to detect and manage depression. Workforce capacity remains a significant issue.
Nurses' experiences of caring for nursing care‐dependent ICU patients: A qualitative study
Authors: Piredda Michela , Gambalunga Francesca , Enrico Sguanci Marco , Mangado Rebecca , D'Angelo Antonella Giuseppina , Marchetti Anna , Mastroianni Chiara , Iacorossi Laura , De Marinis Maria Grazia 
Published: February 2024

AbstractBackgroundNursing care dependency is a key, yet under‐studied, nursing phenomenon. Patients in intensive care units are highly dependent on nursing care. Patients find dependency challenging, experiencing feelings of powerlessness and shame. The nurse–patient care relationship can influence patients' perception of dependency. Understanding how nurses experience their care for dependent patients is crucial, as nurses might not always grasp the impact of their actions on patients’ dependency experiences.AimTo explore and interpret ICU nurses' perceptions of patients' nursing care dependency and their experiences in caring for nursing care‐dependent patients.Study DesignA qualitative interpretative phenomenological study inspired by Merleau‐Ponty's philosophical stance was conducted using focus groups with nurses who had been caring for adult patients for at least 6 months in ICUs of two hospitals. Data analysis followed Smith et al.'s guidance. Researchers immersed themselves in the transcripts, noted individual's experiences before transitioning to shared insights, coded significant phrases and generated themes and superordinate themes.ResultsFour focus groups were conducted with 18 nurses with widely ranging ages and work experience. Four superordinate themes emerged: ‘Time and context define dependency’, ‘Empathetic relationships help nurses understand patients’ experience of dependency’, ‘Trusting nurse‐patient relationships change the dependency experience’ and ‘Nurses' skills help patients to recover independence’.ConclusionThis study increases critical care nurses' awareness of the overlooked phenomenon of caring for nursing care dependent patients and offers them an opportunity to reflect on their care for dependent patients and adapt it to patients' experiences. Further studies are needed with nurses and patients in different ICUs, cultures and countries, to gain a broader picture of experiences of nursing care dependency.Relevance to Clinical PracticeICU nurses need strong relational skills to offer high‐quality care for dependent patients, facilitating meaningful nurse–patient relationships based on empathy and trust. These relationships can significantly impact the patient's experience of dependence.