bluuebunny/crossref_metadata_2025_split huggingface dataset:
Congestive Hepatopathy: A Case of Fontan-Associated Liver Disease and Review of Literature
Authors: Gosse Matthew D. , Bosch Dustin E. 
Published: December 2022

Abstract
We describe a case of congestive hepatopathy due to altered circulation with a Fontan procedure. Congestive hepatopathy is characterized microscopically by sinusoidal dilation and congestion, interstitial edema, and hepatocyte atrophy. Congestive hepatic fibrosis typically exhibits pericentral pattern fibrosis at an early stage, progressing to bridging fibrosis and cirrhosis. Fibrosis scoring systems have recently been described for Fontan-associated liver disease and congestive heart disease–associated hepatopathy. The clinical differential diagnosis for congestive hepatopathy is broad and includes right-sided heart failure (“cardiac hepatopathy”), hepatic vein obstruction (such as Budd-Chiari syndrome), and intrahepatic vessel or sinusoidal obstruction (such as sinusoidal obstructive syndrome). Treatment of congestive hepatopathy is primarily directed toward the etiology of congestion.
A Prevascularized Sinus Tract on the Liver Surface for Islet Transplantation
Authors: Li Feng , Lv Yi , Li Xiaohang , Yang Zhaoming , Guo Tingwei , Zhang Jialin 
Published: December 2022

Background.
The lack of a suitable transplantation site has become a bottleneck restricting the development of islet transplantation.

Methods.
In this study, for the first time, a prevascularized sinus tract (PST) for islet transplantation was constructed in a mouse model by temporarily embedding a 4× silk thread between the liver surface and the attached decellularized human amniotic membrane. After which, the characteristics of the PST and the function of the islet graft within the PST were evaluated.

Results.
The results showed that PST was lined with granulation tissue, the blood vessel density of the local tissue increased, and proangiogenic proteins were upregulated, which mimics the microenvironment of the islets in the pancreas to a certain extent. Transplantation of ~200 syngeneic islets into the PST routinely reversed the hyperglycemia of the recipient mice and maintained euglycemia for >100 d until the islet grafts were retrieved. The islet grafts within the PST achieved better results to those in the nonprevascularized control groups and comparable results to those under the kidney capsule with respect to glycemic control and glucose tolerance.

Conclusions.
By attaching a decellularized human amniotic membrane to the surface of mouse liver and temporarily embedding a 4× silk thread, the PST formed on the liver surface has a favorable local microenvironment and is a potential clinical islet transplantation site.
Capturing long-tailed individual tree diversity using an airborne multi-temporal hierarchical model
Authors: Weinstein Ben G. , Marconi Sergio , Graves Sarah J , Zare Alina , Singh Aditya , Bohlman Stephanie A , Magee Lukas , Johnson Daniel J. , Townsend Phillip A. , White Ethan P. 
Published: December 2022

AbstractMeasuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree data at the scales of hundreds of thousands of trees. To train computer vision models, ground-based species labels are combined with airborne reflectance data. Due to the difficulty of finding rare species in a large landscape, the majority of classification models only include the most abundant species, leading to biased predictions at broad scales. Extending classification models to include rare species requires targeted data collection and algorithmic improvements to overcome large data imbalances between dominant and rare taxa. In addition, large landscapes often require multiple acquisition events, leading to significant within-species variation in reflectance spectra. Using a multi-temporal hierarchical model, we demonstrate the ability to include species predicted at less than 1% frequency in landscape without losing performance on the dominant species. The final model has over 75% accuracy for 14 species with improved rare species classification compared to a baseline deep learning model. After filtering out dead trees, we generate landscape species maps of individual crowns for over 670,000 individual trees at the Ordway Swisher Biological Station within the National Ecological Observatory Network. We estimate the relative abundance of the species within the landscape and provide three measures of uncertainty to generate a range of counts for each species. These maps provide the first estimates of canopy tree diversity within NEON sites to include rare species and provide a blueprint for capturing tree diversity using airborne computer vision at broad scales.
The nutrient-sensing GCN2 signaling pathway is essential for circadian clock function by regulating histone acetylation under amino acid starvation
Authors: Liu Xiaolan , Yang Yulin , Hu Yue , Wu Jingjing , Han Chuqiao , Gan Xihui , Lu Qiaojia , Qi Shaohua , Guo Jinhu , He Qun , Liu Yi , Liu Xiao 
Published: December 2022

AbstractCircadian clocks are evolved to adapt to the daily environment changes under different conditions. The ability to maintain circadian clock functions in response to various stress and perturbations is important for organismal fitness. Here, we show that the nutrient sensing GCN2 signaling pathway is required for robust circadian clock function under amino acid starvation inNeurospora. The deletion of GCN2 pathway components disrupts rhythmic transcription of clock genefrqby suppressing WC complex binding at thefrqpromoter due to its reduced histone H3 acetylation levels. Under amino acid starvation, the activation of GCN2 kinase and its downstream transcription factor CPC-1 establish a proper chromatin state at thefrqpromoter by recruiting the histone acetyltransferase GCN-5. The arrhythmic phenotype of the GCN2 kinase mutants under amino acid starvation can be rescued by inhibiting histone deacetylation. Finally, genome-wide transcriptional analysis indicates that the GCN2 signaling pathway maintains robust rhythmic expression of metabolic genes under amino acid starvation. Together, these results uncover an essential role of GCN2 signaling pathway in maintaining robust circadian clock function in response to amino acid starvation and the importance of histone acetylation at thefrqlocus in rhythmic gene expression.
Resurrection of plant disease resistance proteins via helper NLR bioengineering
Authors: Contreras Mauricio P. , Pai Hsuan , Selvaraj Muniyandi , Toghani AmirAli , Lawson David M. , Tumtas Yasin , Duggan Cian , Yuen Enoch Lok Him , Stevenson Clare E. M. , Harant Adeline , Maqbool Abbas , Wu Chih-Hang , Bozkurt Tolga O. , Kamoun Sophien , Derevnina Lida 
Published: December 2022

AbstractParasites counteract host immunity by suppressing helper NLR proteins that function as central nodes in immune receptor networks. Understanding the mechanisms of immunosuppression can lead to strategies for bioengineering disease resistance. Here, we show that a cyst nematode virulence effector binds and inhibits oligomerization of the helper NLR protein NRC2 by physically preventing intramolecular rearrangements required for activation. A single amino acid polymorphism at the binding interface between NRC2 and the inhibitor is sufficient for this helper NLR to evade immune suppression, thereby restoring the activity of multiple disease resistance genes. This points to a novel strategy for resurrecting disease resistance in crop genomes.One sentence summaryA helper NLR is mutated to evade inhibition by a parasite effector.
Consumer adoption of blockchain food traceability: effects of innovation-adoption characteristics, expertise in food traceability and blockchain technology, and segmentation
Authors: Wang Ou , Scrimgeour Frank 
Published: December 2022

PurposeThis study explores the influence of the following factors on consumer adoption of blockchain food traceability (BFT): innovation-adoption characteristics, segmentation, expertise in food traceability, expertise in blockchain technology, food categorical preferences and perceived important features of BFT.Design/methodology/approachThe data was collected via an online questionnaire with 1,401 participants in New Zealand. Exploratory factor analysis, structural equation modelling and segmentation analysis were undertaken.FindingsConsumer adoption of blockchain food traceability was significantly influenced by two innovation-adoption characteristics – perceived incentives and perceived complexity, as well as their expertise in food traceability. Two consumer segments were identified: Conservatives (48%) and Pioneers (52%). Significant differences were found between these two segments in terms of gender, age, education, occupation, residential area and ethnicity. Consumers are more willing to use BFT for purchasing fresh, imported, staple and normal foods than for processed, domestic and upscale foods. Their perceived important specific features of BFT are product origin, food safety information, quality control, food safety information, hygienic condition and scarcity management.Originality/valueThis study contributes knowledge to address the current knowledge gap regarding consumer adoption of blockchain food traceability by using a large sample set. It is also the first study to recognise consumer segments for BFT; to provide information about consumers' important socio-demographic characteristics, food categorical preferences and perceived important features towards BFT; and to explore the influences of consumers' innovation-adoption characteristics, expertise in food traceability and expertise in blockchain technology on their adoption of blockchain food traceability.
Health promoting behaviors and associated factors among older adults: a narrative review
Authors: Rababa Mohammad , Al-Ali Nahla , Shaman Ayat 
Published: December 2022

PurposeThis study aims to examine the recent literature on health-promoting behavior, health needs and associated factors among older adults.Design/methodology/approachAn massive search of five databases involving documents in the past decade was commenced.FindingsThis review showed a significant relationship between older adults’ demographic characteristics (marital status, income, chronic disease, education level and smoking status) and health-promoting behaviors. This review showed that older adults with a high level of education, high income, chronic diseases and smoker and married older adults are associated with better health-promoting behaviors.Originality/valueThe result of the current review supports the Pender Health Promotion Model that individual personal characteristics can affect the level of engagement in health-promoting behaviors. Assessing the health-promoting behaviors of older adults can help in identifying their health needs.
The effect of subclinic thyroid pathologies on erythropoietine dose in hemodialysis patients
Authors: Onan Engin , Yasar Mehmet , Soysal Busra , Paydas Saime 
Published: December 2022

AbstractPurposeThe effect of subclinical thyroid pathologies on erythropoietin (EPO) treatment has not been well defined. The aim of the study is to compare the frequency and dose of EPO administration in patients with subclinical thyroid pathology and euthyroid hemodialysis patients.MethodsA cross‐sectional and retrospective study was conducted with 210 patients. Special conditions were excluded, a total of 191 patients were included. Patients were divided into three groups.ResultsThe incidences of subclinical hypothyroidism, subclinical hyperthyroidism and euthyroidism were 10.5%, 3.1%, and 86.4%, respectively. Statistically significant difference was found between subclinical hypothyroid and euthyroid patients in terms of the number of patients using EPO (p = 0.0207), monthly total EPO doses (p = 0.003), and total monthly EPO doses per weight (p = 0.001).ConclusionThe EPO dose required to achieve similar hemoglobin levels in hemodialysis patients was significantly higher in subclinical hypothyroid patients than in euthyroid patients.
What are the determinants of financial well‐being? A Bayesian LASSO approach
Authors: Lacombe Donald J. , Khatun Nasima 
Published: December 2022

AbstractThe financial well‐being (FWB) of individuals is a topic that is becoming increasingly important across a multitude of disciplines. In this study, we use the 2016 National Financial Well‐Being Survey administered by the Consumer Financial Protection Bureau to assess the determinants of an individual's FWB. We identify 144 potential covariates that could explain variation in the FWB score of individuals. The statistical methodology of choice is the Bayesian LASSO, which is a covariate selection algorithm that also allows for the importance ranking of covariates. Out of the 144 potential covariates, we find that 26 have 95% credible intervals that do not contain zero. Broadly speaking, the results show that objective measures of financial competency and psychological and sociological factors contribute the bulk of the explanatory power that help explain an individual's FWB score.
Explore your brain: A randomized controlled trial into the effectiveness of a growth mindset intervention with psychosocial and psychophysiological components
Authors: Janssen Tieme W. P. , van Atteveldt Nienke 
Published: December 2022

AbstractBackgroundAlthough past research demonstrated growth mindset interventions to improve school outcomes, effects were small. This may be due to the theoretical nature of psychosocial techniques (e.g., reading about brain plasticity), which may not be optimally convincing for students.AimsTo address this issue and improve effectiveness, we developed a growth mindset intervention, which combined psychosocial and psychophysiological components. The latter adds a convincing experience of influencing one's own brain activity, using mobile electroencephalography (EEG) neurofeedback, emphasizing the controllable and malleable nature of one's brain.SampleIn this randomized controlled trial (RCT), twenty high‐school classes (N = 439) were randomized to either the active control condition (no mindset messaging) or our newly developed growth mindset intervention condition (4 × 50 min).MethodsSchool outcomes (pre, post, 1‐year follow‐up) were analysed with Linear Mixed Models (LMM: variable‐oriented) and Latent Transition Analysis (LTA: person‐oriented).ResultsLMM: students in the growth mindset intervention reported increased growth mindset directly after the intervention (post, d = .38) and at 1‐year follow‐up (d = .25) and demonstrated a protective effect against deterioration of math grades at 1‐year follow‐up (d = .36), compared to controls. LTA: we identified three mindset profiles (Fixed, Growth competitive, Growth non‐competitive), with more frequent transitions from fixed to one of the growth mindset profiles at 1‐year follow‐up for students in the growth mindset intervention compared to controls (OR 2.58–2.68).ConclusionsCompared to previous studies, we found relatively large effects of our intervention on growth mindset and math grades, which may be attributable to synergetic effects of psychosocial and psychophysiological (neurofeedback) components. The person‐oriented approach demonstrated more holistic effects, involving multiple motivational constructs.
Addressing health inequalities in diabetes through research: Recommendations from DiabetesUK's 2022 health inequalities in diabetes workshop
Authors: Chan Jodie , Blane David , Choudhary Pratik , Chowdhury Tahseen A. , Goyal Aaliya , Hanif Wasim , Jacca Joyce , Mathur Rohini , Misra Shivani , Ocran Nana , Rutter Martin K. , Studley Ruth , Treweek Shaun , Valabhji Jonathan , Khunti Kamlesh 
Published: December 2022

AbstractAimsTo develop a position statement which identifies research priorities to address health inequalities in diabetes and provides recommendations to researchers and research funders on how best to conduct research in these areas.MethodsA two‐day research workshop was conducted bringing together research experts in diabetes, research experts in health inequalities, healthcare professionals and people living with diabetes.ResultsThe following key areas were identified as needing increased focus:How can we improve patient and public involvement and engagement to make diabetes research more inclusive of and relevant to diverse communities?How can we improve research design so that the people who could benefit most are represented?How can we use theories from implementation science to facilitate the uptake of research findings into routine practice to reach the populations with highest need?How can we collate and evaluate local innovation projects and disseminate best practice around tackling health inequalities in diabetes?How can we best collect and use data to address health inequalities in diabetes, including the harnessing of real‐world and routinely collected data?How could research funders allocate funds to best address health inequalities in diabetes?How do we ensure the research community is representative of the general population?ConclusionsThis position statement outlines recommendations to address the urgent need to tackle health inequalities in diabetes through research and calls on the diabetes research community to act upon these recommendations to ensure future research works to eliminate unfair and avoidable disparities in health.
Evolution and development of the mammalian jaw joint: Making a novel structure
Authors: Anthwal Neal , Tucker Abigail S. 
Published: December 2022

AbstractA jaw joint between the squamosal and dentary is a defining feature of mammals and is referred to as the temporomandibular joint (TMJ) in humans. Driven by changes in dentition and jaw musculature, this new joint evolved early in the mammalian ancestral lineage and permitted the transference of the ancestral jaw joint into the middle ear. The fossil record demonstrates the steps in the cynodont lineage that led to the acquisition of the TMJ, including the expansion of the dentary bone, formation of the coronoid process, and initial contact between the dentary and squamosal. From a developmental perspective, the components of the TMJ form through tissue interactions of muscle and skeletal elements, as well as through interaction between the jaw and the cranial base, with the signals involved in these interactions being both biomechanical and biochemical. In this review, we discuss the development of the TMJ in an evolutionary context. We describe the evolution of the TMJ in the fossil record and the development of the TMJ in embryonic development. We address the formation of key elements of the TMJ and how knowledge from developmental biology can inform our understanding of TMJ evolution.
Quantitative proteomic analysis of cerebrospinal fluid from patients with idiopathic facial nerve palsy
Authors: Masouris Ilias , Klein Matthias , Angele Barbara , Groß Birgit , Goswami Neha , Mashood Fathima , Gesell Salazar Manuela , Schubert Sören , Pfister Hans‐Walter , Koedel Uwe , Schmidt Frank 
Published: December 2022

AbstractBackground and purposeIdiopathic facial palsy (IFP) accounts for over 60% of peripheral facial palsy (FP) cases. The cause of IFP remains to be determined. Possible etiologies are nerve swelling due to inflammation and/or viral infection. In this study, we applied an integrative mass spectrometry approach to identify possibly altered protein patterns in the cerebrospinal fluid (CSF) of IFP patients.MethodsWe obtained CSF samples from 34 patients with FP. In four patients, varicella‐zoster virus was the cause (VZV‐FP). Among the 30 patients diagnosed with IFP, 17 had normal CSF parameters, five had slightly elevated CSF cell counts and normal or elevated CSF protein, and eight had normal CSF cell counts but elevated CSF protein. Five patients with primary headache served as controls. All samples were tested for viral pathogens by PCR and subjected to liquid chromatography tandem mass spectrometry and bioinformatics analysis and multiplex cytokine/chemokine arrays.ResultsAll CSF samples, except those from VZV‐FP patients, were negative for all tested pathogens. The protein composition of CSF samples from IFP patients with normal CSF was comparable to controls. IFP patients with elevated CSF protein showed dysregulated proteins involved in inflammatory pathways, findings which were similar to those in VZV‐FP patients. Multiplex analysis revealed similarly elevated cytokine levels in the CSF of IFP patients with elevated CSF protein and VZV‐FP.ConclusionsOur study revealed a subgroup of IFP patients with elevated CSF protein that showed upregulated inflammatory pathways, suggesting an inflammatory/infectious cause. However, no evidence for an inflammatory cause was found in IFP patients with normal CSF.
Significant increase in natural disturbance impacts on European forests since 1950
Authors: Patacca Marco , Lindner Marcus , Lucas‐Borja Manuel Esteban , Cordonnier Thomas , Fidej Gal , Gardiner Barry , Hauf Ylva , Jasinevičius Gediminas , Labonne Sophie , Linkevičius Edgaras , Mahnken Mats , Milanovic Slobodan , Nabuurs Gert‐Jan , Nagel Thomas A. , Nikinmaa Laura , Panyatov Momchil , Bercak Roman , Seidl Rupert , Ostrogović Sever Masa Zorana , Socha Jaroslaw , Thom Dominik , Vuletic Dijana , Zudin Sergey , Schelhaas Mart‐Jan 
Published: December 2022

AbstractOver the last decades, the natural disturbance is increasingly putting pressure on European forests. Shifts in disturbance regimes may compromise forest functioning and the continuous provisioning of ecosystem services to society, including their climate change mitigation potential. Although forests are central to many European policies, we lack the long‐term empirical data needed for thoroughly understanding disturbance dynamics, modeling them, and developing adaptive management strategies. Here, we present a unique database of >170,000 records of ground‐based natural disturbance observations in European forests from 1950 to 2019. Reported data confirm a significant increase in forest disturbance in 34 European countries, causing on an average of 43.8 million m3 of disturbed timber volume per year over the 70‐year study period. This value is likely a conservative estimate due to under‐reporting, especially of small‐scale disturbances. We used machine learning techniques for assessing the magnitude of unreported disturbances, which are estimated to be between 8.6 and 18.3 million m3/year. In the last 20 years, disturbances on average accounted for 16% of the mean annual harvest in Europe. Wind was the most important disturbance agent over the study period (46% of total damage), followed by fire (24%) and bark beetles (17%). Bark beetle disturbance doubled its share of the total damage in the last 20 years. Forest disturbances can profoundly impact ecosystem services (e.g., climate change mitigation), affect regional forest resource provisioning and consequently disrupt long‐term management planning objectives and timber markets. We conclude that adaptation to changing disturbance regimes must be placed at the core of the European forest management and policy debate. Furthermore, a coherent and homogeneous monitoring system of natural disturbances is urgently needed in Europe, to better observe and respond to the ongoing changes in forest disturbance regimes.