bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Core Symptom Cluster in Patients With Digestive Cancer
Authors: Wang Ke , Diao Min , Yang Zhaoxia , Salvador Jordan Tovera , Zhang Yihong 
Published: October 2023

Background
A lack of identified core symptom clusters in digestive cancer patients hinders achieving precision symptom intervention. There are few studies on identifying digestive cancer symptom clusters based on network analysis.

Objectives
The aims of this study were to construct the symptom network of digestive cancer patients and identify the core symptom cluster.

Methods
A cross-sectional study was conducted among 202 digestive cancer patients. The Chinese version of the MD Anderson Symptom Inventory for gastrointestinal cancer scale was used to assess the symptoms by convenience sampling. R software was used to construct a symptom network and identify core symptom clusters. Edge weight and centrality difference tests were used to test the accuracy of core symptom cluster identification.

Results
The most common symptoms were distress, poor appetite, and sadness. The most serious symptoms were poor appetite, disturbed sleep, and fatigue. The core symptom cluster of the psychoemotional symptom group was distress, sadness, and numbness. The centrality index showed that the top 3 in strength were distress (Rs = 1.11), fatigue (Rs = 1.09), and sadness (Rs = 1.04). The edge weight difference test showed that the psychoemotional symptom group had high stability.

Conclusions
The psychoemotional symptoms of digestive cancer patients should be given priority for intervention. Network analysis must be extended to the symptom research of cancer patients as soon as possible to provide a scientific basis for symptom management.

Implications for Practice
Nurses must perform comprehensive psychological and emotional assessments, initiate referrals for psychoemotional symptom management and psychological services, and administer pharmacologic and nonpharmacologic interventions to improve appetite loss in digestive cancer patients.
Renal Transplantation in Patients With Tuberculosis: A Single-center Experience From an Endemic Region
Authors: Gadde Ashwini B. , Jha Pranaw Kumar , Bansal Shyam B. , Rana Abhyudaysingh , Jain Manish , Bansal Dinesh , Yadav Dinesh Kumar , Mahapatra Amit Kumar , Sethi Sidharth Kumar , Kher Vijay 
Published: October 2023

Background.
Despite being a common infection in end-stage kidney disease patients, there are no evidence-based guidelines to suggest the ideal time of transplantation in patients on antitubercular therapy (ATT). This study aimed to examine the outcome of transplantation in patients while on ATT compared with those without tuberculosis (TB).

Methods.
This was a retrospective study. Renal transplant recipients transplanted while on ATT were compared with a 1:1 matched group (for age, sex, diabetic status, and type of induction agent) of patients without TB at the time of transplant. Patient outcomes included relapse of TB and graft and patient survival.

Results.
There were 71 patients in each group. The mean duration for which ATT was given pretransplant was 3.8 ± 2.47 mo. The average total duration of ATT received was 12.27 ± 1.25 mo. Mortality in both the groups was similar (8.4% in the TB group versus 4.5% in the non-TB group; P = 0.49). None of the surviving patients had recurrence of TB during the follow-up. Death-censored graft survival (98.5% in the TB group versus 97% in the non-TB group; P = 1) and biopsy-proven acute rejection rates (9.86% in the TB group versus 8.45% in the non-TB group; P = 1) were also similar in both the groups.

Conclusions.
Successful transplantation in patients with end-stage kidney disease on ATT is possible without any deleterious effect on patient and graft survival and no risk of disease recurrence. Multicentric prospective studies are needed.
Global abundance patterns, diversity, and ecology of Patescibacteria in wastewater treatment plants
Authors: Hu Huifeng , Kristensen Jannie Munk , Herbold Craig William , Pjevac Petra , Kitzinger Katharina , Hausmann Bela , Dueholm Morten Kam Dahl , Nielsen Per Halkjaer , Wagner Michael 
Published: October 2023

AbstractBackgroundMicroorganisms are responsible for nutrient removal and resource recovery in wastewater treatment plants (WWTPs), and their diversity is often studied by 16S rRNA gene amplicon sequencing. However, this approach underestimates the abundance and diversity of Patescibacteria due to the low coverage of commonly used PCR primers for this highly divergent bacterial phylum. Therefore, our current understanding of the global diversity, distribution, and ecological role of Patescibacteria in WWTPs is very incomplete. This is particularly relevant as Patescibacteria are considered to be associated with microbial host cells and can therefore influence the abundance and temporal variability of other microbial groups that are important for WWTP functioning.ResultsHere, we evaluated thein silicocoverage of widely used 16S rRNA gene-targeted primer pairs and redesigned a primer pair targeting the V4 region of bacterial and archaeal 16S rRNA genes to expand its coverage for Patescibacteria. We then experimentally evaluated and compared the performance of the original and modified V4-targeted primers on 565 WWTP samples from the MiDAS global sample collection. Using the modified primer pair, the percentage of ASVs classified as Patescibacteria increased from 5.9% to 23.8%, and the number of detected patescibacterial genera increased from 560 to 1,576, while the detected diversity of the remaining microbial community remained similar. Due to this significantly improved coverage of Patescibacteria, we identified 23 core genera of Patescibacteria in WWTPs and described the global distribution pattern of these unusual microbes in these systems. Finally, correlation network analysis revealed potential host organisms that might be associated with Patescibacteria in WWTPs. Interestingly, strong indications were found for an association between Patescibacteria of the Saccharimonadia and globally abundant polyphosphate-accumulating organisms of the genusCa.Phosporibacter.ConclusionsOur study (i) provides an improved 16S rRNA gene V4 region-targeted amplicon primer pair inclusive of Patescibacteria with little impact on the detection of other taxa, (ii) reveals the diversity and distribution patterns of Patescibacteria in WWTPs on a global scale, and (iii) provides new insights into the ecological role and potential hosts of Patescibacteria in WWTPs.
Negative density dependence promotes persistence of a globally rare yet locally abundant plant species (Oenothera coloradensis)
Authors: Stears Alice E. , Heidel Bonnie , Paniw Maria , Salguero-Gómez Roberto , Laughlin Daniel C. 
Published: October 2023

AbstractIdentifying the mechanisms underlying the persistence of rare species has long been a motivating question for ecologists. Classical theory implies that community dynamics should be driven by common species, and that natural selection should not allow small populations of rare species to persist. Yet, a majority of the species found on Earth are rare. Consequently, several mechanisms have been proposed to explain their persistence, including negative density dependence, demographic compensation, vital rate buffering, asynchronous responses of sub-populations to environmental heterogeneity, and fine-scale source-sink dynamics. Persistence of seeds in a seed bank, which is often ignored in models of population dynamics, can also buffer small populations against collapse.We used integral projection models (IPMs) to examine the population dynamics ofOenothera coloradensis, a rare, monocarpic perennial forb, and determine whether any of five proposed demographic mechanisms for rare species persistence contribute to the long-term viability of two populations. We also evaluated how including a discrete seed bank stage changed population models for this species.Including a seed bank stage in population models had a significant positive impact on modeledO. coloradensispopulation growth rate. Using IPMs that included a discrete seedbank state, we found that negative density-dependence was the only supported mechanism for the persistence of this rare species.Synthesis: IPMs of two populations of the rare speciesO. coloradensisemphasize the importance of including cryptic life stages such as seed banks in demographic models, but fail to provide strong support for most of the proposed mechanisms of rare species persistence. We propose that high micro-site abundance in a spatially heterogeneous environment enables this species to persist, allowing it to sidestep the demographic and genetic challenges of small population size that rare species typically face. These results emphasize that globally rare species can employ many different strategies for persistence, including the somewhat counter-intuitive phenomenon of local abundance. This reinforces the need for customized management and conservation strategies that mirror the diversity of mechanisms that allow rare species persistence.
Lagged climate-driven range shifts at species’ leading, but not trailing, range edges revealed by multispecies seed addition experiment
Authors: Goodwin Katie J.A. , Chardon Nathalie I. , Pradhan Kavya , Hille Ris Lambers Janneke , Angert Amy L. 
Published: October 2023

AbstractClimate change is causing many species’ ranges to shift upslope to higher elevations as species track their climatic requirements. However, many species have not shifted in pace with recent warming (i.e., ‘range stasis’), possibly due either to demographic lags or microclimatic buffering. The ‘lagged-response hypothesis’ posits that range stasis disguises an underlying climatic sensitivity if range shifts lag the velocity of climate change due to slow colonization or mortality. Alternatively, the ‘microclimatic buffering hypothesis’ proposes that small-scale variation within the landscape, such as canopy cover, creates patches of suitable habitat within otherwise unsuitable macroclimates that create climate refugia and buffer range contractions. To test these two hypotheses, we combined a large seed addition experiment of 25 plant species across macro- and micro-scale climate gradients with local herbaria records to compare patterns of seedling recruitment relative to adult ranges and microclimate in the North Cascades, USA. Despite high species-to-species variability in recruitment, community-level patterns supported the lagged response hypothesis, with a mismatch between where recruitment vs. adults occur. On average, the seedling recruitment optimum shifted from the adult climatic range centre to historically cooler, wetter regions and many species recruited beyond their cold (e.g., leading) range edge. Meanwhile, successful recruitment at warm and dry edges, despite recent climate change, suggests that macroclimatic effects on recruitment do not drive trailing range dynamics. By contrast, we were unable to detect evidence of microclimatic buffering due to canopy cover. Combined, our results suggest apparent range stasis in our system is a lagged response to climate change at the cool ends of species ranges, with range expansions likely to occur slowly or in a punctuated fashion.
Virome analysis provides new insights into the pathogenesis mechanism and treatment of SLE disease
Authors: Wu Yifan , Zhang Zhiyuan , Liu Xun , Qiu Ye , Ge Xingyi , Miao Zhichao , Meng Xiangxian , Peng Yousong 
Published: October 2023

AbstractSystemic lupus erythematosus (SLE) is a multi-system autoimmune disease. Many viruses have been reported to be associated with SLE, but the diversity of the virome in SLE and the mechanisms underlying the interactions between viral infection and SLE are still unclear. This study identified ten human virus species from 826 RNA-Seq samples of human blood from 688 SLE patients and 138 healthy controls. SLE patients were found to have higher positive rates of viruses than healthy controls, although the virus abundances were low and comparable in both SLE patients and healthy controls. Analysis of the antiviral interferon-stimulated genes (ISGs) in samples showed higher ISG expression levels in virus-positive samples compared to virus-negative samples, which confirmed viral infections in virus-positive samples. Further analysis of differential expression genes between virus-positive and negative SLE patients showed that several genes that were up-regulated in SLE patients were further up-regulated after viral infections, and they were mainly enriched in immune response-related biological processes, suggesting an excess immune response in SLE patients after viral infections. Finally, three marker genes of the SLE severity, namely STAT1, STAT5A, and STAT5B, showed higher expression levels in virus-positive SLE patients compared to those in virus-negative SLE patients, suggesting that viral infections may aggravate the SLE disease. Overall, the study deepens our understanding of the association between viruses and SLE and provides new insights into prevention and control of the disease.
Noise-induced changes in rat head stability and orientation correlate with dysfunction of otolith irregular afferents
Authors: Niwa Mamiko , Bauer David , Anderson Marie , Kanicki Ariane , Keller Katharine , Altschuler Richard A. , Stewart Courtney E. , King W. Michael 
Published: October 2023

AbstractExposure to intense noise damages both the cochlea and vestibular end organs. Our group previously reported attenuated vestibular short-latency evoked potentials (VsEP) and reduced numbers of calretinin-positive (CR+) calyces in the saccule following noise exposure. Here, we examined rats’ resting head orientation with respect to gravity as well as head stability following a 4-hour exposure to 120 dB SPL noise. We also assessed how behavioral changes are related to changes in VsEP waveforms and calretinin expression in the utricle and saccule to elucidate potential underlying mechanisms. We found significant reductions in the P2N2 and N2P3 amplitudes following noise exposure. The number of CR+ calyces in both saccule and utricle were also significantly reduced. The size of the reduction in N2P3 amplitude was significantly correlated to the number of CR+ calyces. Animals with a greater loss of CR+ calyces in the utricle following noise showed significant decreases in the average speed of y-axis rotational head motion, while those with a fewer loss of CR+ calyces showed significant increases. In addition, animals with larger noise-induced changes in VsEP and CR+ calyces held their heads motionless longer following noise exposure. We hypothesize that noise exposure is inherently destructive to an animal’s head stability and thereby manifests as an increase in average head speed in mildly to moderately affected animals. But when the damage was large enough, animals exhibited reduced duration and head motion speed as a behavioral adaptation. The noise exposure also significantly altered the pitch angle of head orientation in animals who had the largest reduction in CR+ calyces in the saccule, suggesting that saccular irregular afferents, including those that are CR+, are critical in control of head and body posture.
Structural variant calling and clinical interpretation in 6224 unsolved rare disease exomes
Authors: Demidov German , Laurie Steven , Torella Annalaura , Piluso Giulio , Scala Marcello , Morleo Manuela , Nigro Vincenzo , Graessner Holm , Banka Siddharth ,   Solve-RD consortium, Lohmann Katja , Ossowski Stephan 
Published: October 2023

AbstractStructural variants (SVs), including large deletions, duplications, inversions, translocations, and complex SVs have the potential to disrupt gene function resulting in rare disease. Nevertheless, current pipelines and clinical decision support systems for exome sequencing (ES) tend to focus on small alterations such as single nucleotide variants (SNVs) and insertions-deletions shorter than 50 base pairs (indels). Additionally, detection and interpretation of large copy-number variants (CNVs) are frequently performed. However, detection of other types of SVs in ES data is hampered by the difficulty of identifying breakpoints in off-target (intergenic or intronic) regions, which makes robust identification of SVs challenging. In this paper, we demonstrate the utility of SV calling in ES resulting in a diagnostic yield of 0.4% (23 out of 5,825 probands) for a large cohort of unsolved patients collected by the Solve-RD consortium. Remarkably, 8 out of 23 pathogenic SV were not found by comprehensive read-depth-based CNV analysis, resulting in a 0.13% increased diagnostic value.
Social buffering switches fear to safety encoding by oxytocin recruitment of central amygdala “buffer neurons”
Authors: Hegoburu Chloe , Tang Yan , Niu Ruifang , Ghosh Supriya , Del Rio Rodrigo Triana , Salgado Isabel , Abatis Marios , Caseiro David Mota , den Burg Erwin H. van , Grundschober Christophe , Stoop Ron 
Published: October 2023

AbstractThe presence of a companion can reduce fear, but the precise neural mechanisms underlying this social buffering of fear (SBF) are incompletely known. We studied SBF encoding in the amygdala of rats that were fear-conditioned (FC) to auditory conditioned stimuli (CS). Pharmacological, opto,- and/or chemogenetic interventions showed that oxytocin (OT) signaling from hypothalamus-to-central amygdala (CeA) projections was required for acute fear reduction in the presence, and SBF retention 24h later in the absence of the companion. Single-unit recordings with optetrodes revealed fear-encoding CeA neurons (characterized by increased CS responses after FC) were inhibited by SBF and blue light (BL) stimulation of OTergic projections. Other CeA neurons developed CS responses only after SBF that persisted during SBF retention. Their baseline activity was enhanced by BL and exposure to the companion. SBF thus switches the CS from encoding “fear” to “safety” by OT-mediated recruitment of a distinct group of CeA “buffer neurons”.
The ADEPT service quality model and distinct perceived value for strategic marketing management: the moderating effect of knowledge-learning experience
Authors: Lee Dae Hui 
Published: October 2023

PurposeThe first purpose of this study is to identify the suitability of a framework that includes ADEPT (i.e. ambience, delivery, environment, product and technology) service quality constructs, distinct perceived value and customer satisfaction. The second purpose is to not only observe specified connectivity in a comprehensive and complex structural model but also reveal key mediators for better linkages. The third purpose is to detect any moderating effects of the knowledge-learning experience between ADEPT constructs and satisfaction.Design/methodology/approachThe causal relationships, mediating effects and moderating effects were analyzed using partial least squares-based structural equation modeling (PLS-SEM).FindingsBased on the ADEPT value-added framework, the higher the ADEPT service quality constructs, the more satisfied the general attendees are through the distinct mediating role of perceived value. Moreover, the influence of service delivery on satisfaction is strengthened with high-level knowledge-learning experiences.Originality/valueThe optimized fit of the ADEPT service quality constructs that are significantly linked to distinct perceived value was theoretically conceptualized and empirically identified in this work. The complex connections and degrees of significant influence throughout the entire process of the ADEPT constructs, distinct perceived value and satisfaction serve here as the basis (i.e. framework) for establishing strategic marketing management in exhibitions. Furthermore, the knowledge-learning experience acts as a key moderator to further increase satisfaction.
Accelerating the modernization of agriculture and rural areas in China
Authors: Liu Mingguo , Fang Xiangming , Ren Jingru 
Published: October 2023

PurposeThis study aims to identify the importance of agricultural and rural modernization and propose ways to accelerate such modernization.Design/methodology/approachThe authors systematically examine the crucial role that the modernization of agriculture and rural areas plays in China, discuss the current issues in China's modernization from the perspective of agricultural and rural fields and propose practical measures to accelerate agricultural and rural modernization.FindingsThis study emphasizes the importance of China's agricultural and rural modernization in five aspects: the significance inherent in theories and experiences, the high complexity of the modernization work, the extreme difficulty of the task, the particular sluggishness of the process and its specific impact on the overall development. Numerous shortcomings in domestic agriculture and rural areas have been identified. The following actions can help achieve modernization: strengthening strategic leadership, providing policy support and constructing supportive measures.Originality/valueThis paper summarizes the significance of agricultural and rural modernization, highlights the issues regarding such modernization and suggests effective solutions.
Intelligent inspection of appearance quality for precast concrete components based on improved YOLO model and multi-source data
Authors: Liang Yangze , Xu Zhao 
Published: October 2023

PurposeMonitoring of the quality of precast concrete (PC) components is crucial for the success of prefabricated construction projects. Currently, quality monitoring of PC components during the construction phase is predominantly done manually, resulting in low efficiency and hindering the progress of intelligent construction. This paper presents an intelligent inspection method for assessing the appearance quality of PC components, utilizing an enhanced you look only once (YOLO) model and multi-source data. The aim of this research is to achieve automated management of the appearance quality of precast components in the prefabricated construction process through digital means.Design/methodology/approachThe paper begins by establishing an improved YOLO model and an image dataset for evaluating appearance quality. Through object detection in the images, a preliminary and efficient assessment of the precast components' appearance quality is achieved. Moreover, the detection results are mapped onto the point cloud for high-precision quality inspection. In the case of precast components with quality defects, precise quality inspection is conducted by combining the three-dimensional model data obtained from forward design conversion with the captured point cloud data through registration. Additionally, the paper proposes a framework for an automated inspection platform dedicated to assessing appearance quality in prefabricated buildings, encompassing the platform's hardware network.FindingsThe improved YOLO model achieved a best mean average precision of 85.02% on the VOC2007 dataset, surpassing the performance of most similar models. After targeted training, the model exhibits excellent recognition capabilities for the four common appearance quality defects. When mapped onto the point cloud, the accuracy of quality inspection based on point cloud data and forward design is within 0.1 mm. The appearance quality inspection platform enables feedback and optimization of quality issues.Originality/valueThe proposed method in this study enables high-precision, visualized and automated detection of the appearance quality of PC components. It effectively meets the demand for quality inspection of precast components on construction sites of prefabricated buildings, providing technological support for the development of intelligent construction. The design of the appearance quality inspection platform's logic and framework facilitates the integration of the method, laying the foundation for efficient quality management in the future.