bluuebunny/crossref_metadata_2025 huggingface dataset:
Fully automating LI-RADS on MRI with deep learning-guided lesion segmentation, feature characterization, and score inference
Authors: Wang Ke , Liu Yuehua , Chen Hongxin , Yu Wenjin , Zhou Jiayin , Wang Xiaoying
Published: May 2023

Introduction

Leveraging deep learning in the radiology community has great potential and practical significance. To explore the potential of fitting deep learning methods into the current Liver Imaging Reporting and Data System (LI-RADS) system, this paper provides a complete and fully automatic deep learning solution for the LI-RADS system and investigates its model performance in liver lesion segmentation and classification.

Methods

To achieve this, a deep learning study design process is formulated, including clinical problem formulation, corresponding deep learning task identification, data acquisition, data preprocessing, and algorithm validation. On top of segmentation, a UNet++-based segmentation approach with supervised learning was performed by using 33,078 raw images obtained from 111 patients, which are collected from 2010 to 2017. The key innovation is that the proposed framework introduces one more step called feature characterization before LI-RADS score classification in comparison to prior work. In this step, a feature characterization network with multi-task learning and joint training strategy was proposed, followed by an inference module to generate the final LI-RADS score.

Results

Both liver segmentation and feature characterization models were evaluated, and comprehensive statistical analysis was conducted with detailed discussions. Median DICE of liver lesion segmentation was able to achieve 0.879. Based on different thresholds, recall changes within a range of 0.7 to 0.9, and precision always stays high greater than 0.9. Segmentation model performance was also evaluated on the patient level and lesion level, and the evaluation results of (precision, recall) on the patient level were much better at approximately (1, 0.9). Lesion classification was evaluated to have an overall accuracy of 76%, and most mis-classification cases happen in the neighboring categories, which is reasonable since it is naturally difficult to distinguish LI-RADS 4 from LI-RADS 5.

Discussion

In addition to investigating the performance of the proposed model itself, extensive comparison experiment was also conducted. This study shows that our proposed framework with feature characterization greatly improves the diagnostic performance which also validates the effectiveness of the added feature characterization step. Since this step could output the feature characterization results instead of simply generating a final score, it is able to unbox the black-box for the proposed algorithm thus improves the explainability.
Comprehensive pan-cancer analysis of PTGES3 and its prognostic role in hepatocellular carcinoma
Authors: Wang Han , Sun Peng , Yao Ruoyu , Zhang Wenrui , Zhou Xiaoshuang , Yao Jia , He Kun
Published: May 2023

Introduction

PTGES3, also known as p23, is a molecule chaperone of Hsp90 that is involved in the pathogenesis of malignant tumors. Increasing studies have shown that PTGES3 plays a nonnegligible role in tumor development. However, analysis of PTGES3 in pan-cancer has not been performed yet.

Methods

We explored the role of PTGES3 in 33 types of tumors and depicted the potentialimmune-related pathways among them. Using multiple databases includingTCGA, LinkedOmics, GDSC, and TIMER, we made a comprehensive analysis to explore whether there was an interaction between PTGES3 and prognosis, DNA methylation, copy number variation (CNV), tumor mutational burden (TMB), microsatellite instability (MSI), and tumor immune microenvironment (TME).

Results

Our study revealed that PTGES3 expression level was upregulated in most cancers. PTGES3 was also associated with a positive or negative prognosis in a variety of cancers, which was mainly associated with DNA methylation, CNV, MSI, TMB, andmismatch repair-related genes. High PTGES3 expression was related to the infiltration of Th2 subsets of CD4+ T cells and immune checkpoint-related genes in most cancers, especially in hepatocellular carcinoma (HCC). Enrichment analysis demonstrated that PTGES3 was involved in cellular processes including DNA replication and spliceosome. The relationship between PTGES3 expression and HCC progression was verified at the protein level through immune histochemical analysis.

Conclusions

Our research demonstrated theprognostic predictive value of PTGES3 in a wide range of cancers, which was alsoassociated with the process of tumor immune infiltration. As a result, it suggestedthat PTGES3 was a valuable prognostic biomarker in HCC treatment.
Identification of a novel glycolysis-related prognosis risk signature in triple-negative breast cancer
Authors: Ruan Yuxia , Tang Qiang , Qiao Jianghua , Wang Jiabin , Li Huimin , Yue Xiayu , Sun Yadong , Wang Peili , Yang Hanzhao , Liu Zhenzhen
Published: May 2023

Introduction

Triple-negative breast cancer (TNBC) is a particularly aggressive cluster of breast cancer characterized by significant molecular heterogeneity. Glycolysis is a metabolic pathway that is significantly associated with cancer progression, metastasis, recurrence and chemoresistance. However, the potential roles of glycolysis-related genes in TNBC remain unclear.

Methods

In the present study, we identified 108 glycolysis-related differentially expressed genes (DEGs) between breast cancer (BRCA) tumor tissues and normal tissues, and we divided patients into two different clusters with significantly distinct molecular characteristics, clinicopathological features, prognosis, immune cell infiltration and mutation burden. We then constructed a 10-gene signature that classified all TNBCs into low- and high-risk groups.

Results

The high-risk group had significantly lower survival than the low-risk group, which implied that the risk score was an independent prognostic indicator for TNBC patients. Consequently, we constructed and validated a prognostic nomogram, which accurately predicted individual overall survival (OS) of TNBC. Moreover, the risk score predicted the drug sensitivity of chemotherapeutic agents and immunotherapy for TNBC patients.

Discussion

The present comprehensive analysis of glycolysis-related DEGs in TNBC provides new methods for prognosis prediction and more effective treatment strategies.
A multilayer perceptron-based model applied to histopathology image classification of lung adenocarcinoma subtypes
Authors: Liu Mingyang , Li Liyuan , Wang Haoran , Guo Xinyu , Liu Yunpeng , Li Yuguang , Song Kaiwen , Shao Yanbin , Wu Fei , Zhang Junjie , Sun Nao , Zhang Tianyu , Luan Lan
Published: May 2023

Objective

Lung cancer is one of the most common malignant tumors in humans. Adenocarcinoma of the lung is another of the most common types of lung cancer. In clinical medicine, physicians rely on the information provided by pathology tests as an important reference for the fifinal diagnosis of many diseases. Thus, pathological diagnosis is known as the gold standard for disease diagnosis. However, the complexity of the information contained in pathology images and the increase in the number of patients far exceeds the number of pathologists, especially in the treatment of lung cancer in less-developed countries.

Methods

This paper proposes a multilayer perceptron model for lung cancer histopathology image detection, which enables the automatic detection of the degree of lung adenocarcinoma infifiltration. For the large amount of local information present in lung cancer histopathology images, MLP IN MLP (MIM) uses a dual data stream input method to achieve a modeling approach that combines global and local information to improve the classifification performance of the model. In our experiments, we collected 780 lung cancer histopathological images and prepared a lung histopathology image dataset to verify the effectiveness of MIM.

Results

The MIM achieves a diagnostic accuracy of 95.31% and has a precision, sensitivity, specificity and F1-score of 95.31%, 93.09%, 93.10%, 96.43% and 93.10% respectively, outperforming the diagnostic results of the common network model. In addition, a number of series of extension experiments demonstrated the scalability and stability of the MIM.

Conclusions

In summary, MIM has high classifification performance and substantial potential in lung cancer detection tasks.
Study of iron metabolism based on T2* mapping sequences in PI-RADS 3 prostate lesions
Authors: D Wenhao , L Guangzheng , T Zhen , W Xuedong , L Yonggang , Z Xuefeng , Z Weijie , L Gang , H Yuhua
Published: May 2023

Introduction

Prostate cancer is one of the most common malignant tumors in Chinese men, which is rich in iron metabolic activity and is closely related to all stages of prostate cancer progression. Since the current diagnostic methods are insufficient, we aimed to evaluate the value of quantitative T2 star values from the T2* mapping sequences in multiparametric magnetic resonance imaging (mpMRI) in the diagnosis and grading of PI-RADS 3 prostate cancer (PCa).

Methods

We prospectively enrolled patients with PCa or benign prostatic hyperplasia (BPH) admitted to our hospital from January 2021 to November 2022. Imaging indicators, including the T2* value and apparent diffusion coefficient (ADC) value, were collected, and enzyme-linked immunosorbent assays (ELISAs) were used to measure the levels of proteins involved in iron metabolism in the patients. ROC curves were drawn to explore whether the T2* value could be used for the diagnosis and grading of PCa.

Results

We found that three iron metabolism indexes, ferritin, hepcidin, and the ferric ion (Fe), and the T2* value were significantly different between the PCa group and BPH group and between the low International Society of Urology Pathology (ISUP) group (ISUP ≤ 2) and the high ISUP group (ISUP>2). Additionally, there was a significant correlation between the levels of these three indicators and the T2* value. Further ROC analysis showed that the levels of iron metabolism-related indexes and T2* values performed well in diagnosing and grading PCa.

Discussion

The T2* value has good value in detecting and predicting the grade of prostate cancer and can reflect the iron metabolism of the tumor, which could provide a foundation for the diagnosis and grading of PCa in the future.
Pou4f1-Tbr1 transcriptional cascade controls the formation of Jam2-expressing retinal ganglion cells
Authors: Kiyama Takae , Altay Halit Y. , Badea Tudor C. , Mao Chai-An
Published: May 2023

More than 40 retinal ganglion cell (RGC) subtypes have been categorized in mouse based on their morphologies, functions, and molecular features. Among these diverse subtypes, orientation-selective Jam2-expressing RGCs (J-RGCs) has two unique morphologic characteristics: the ventral-facing dendritic arbor and the OFF-sublaminae stratified terminal dendrites in the inner plexiform layer. Previously, we have discovered that T-box transcription factor T-brain 1 (Tbr1) is expressed in J-RGCs. We further found that Tbr1 is essential for the expression of Jam2, and Tbr1 regulates the formation and the dendritic morphogenesis of J-RGCs. However, Tbr1 begins to express in terminally differentiated RGCs around perinatal stage, suggesting that it is unlikely involved in the initial fate determination for J-RGC and other upstream transcription factors must control Tbr1 expression and J-RGC formation. Using the Cleavage Under Targets and Tagmentation technique, we discovered that Pou4f1 binds to Tbr1 on the evolutionary conserved exon 6 and an intergenic region downstream of the 3’UTR, and on a region flanking the promoter and the first exon of Jam2. We showed that Pou4f1 is required for the expression of Tbr1 and Jam2, indicating Pou4f1 as a direct upstream regulator of Tbr1 and Jam2. Most interestingly, the Pou4f1-bound element in exon 6 of Tbr1 possesses high-level enhancer activity, capable of directing reporter gene expression in J-RGCs. Together, these data revealed a Pou4f1-Tbr1-Jam2 genetic hierarchy as a critical pathway in the formation of J-RGC subtype.
In silico evidence implicating novel mechanisms of Prunella vulgaris L. as a potential botanical drug against COVID-19-associated acute kidney injury
Authors: Yang Xue-Ling , Wang Chun-Xuan , Wang Jia-Xing , Wu Shi-Min , Yong Qing , Li Ke , Yang Ju-Rong
Published: May 2023

COVID-19-associated acute kidney injury (COVID-19 AKI) is an independent risk factor for in-hospital mortality and has the potential to progress to chronic kidney disease. Prunella vulgaris L., a traditional Chinese herb that has been used for the treatment of a variety of kidney diseases for centuries, could have the potential to treat this complication. In this study, we studied the potential protective role of Prunella vulgaris in COVID-19 AKI and explored its specific mechanisms applied by network pharmacology and bioinformatics methods. The combination of the protein-protein interaction network and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment -target gene network revealed eight key target genes (VEGFA, ICAM1, IL6, CXCL8, IL1B, CCL2, IL10 and RELA). Molecular docking showed that all these eight gene-encoded proteins could be effectively bound to three major active compounds (quercetin, luteolin and kaempferol), thus becoming potential therapeutic targets. Molecular dynamics simulation also supports the binding stability of RELA-encoded protein with quercetin and luteolin. Together, our data suggest that IL6, VEGFA, and RELA could be the potential drug targets by inhibiting the NF-κB signaling pathway. Our in silico studies shed new insights into P. vulgaris and its ingredients, e.g., quercetin, as potential botanical drugs against COVID-19 AKI, and warrant further studies on efficacy and mechanisms.
Dynamic analysis and optimal control of a stochastic information spreading model considering super-spreader and implicit exposer with random parametric perturbations
Authors: Kang Sida , Hou Xilin , Hu Yuhan , Liu Hongyu
Published: May 2023

Environmental factors in social systems affect information spreading at all times. This paper proposes a stochastic S2EIR model that considers the presence of super-spreaders and implicit exposers in information spreading, as well as the stochastic perturbation of model parameters. The existence of a global positive solution using the Itô′s formula is then demonstrated. Sufficient conditions for information disappearance and smooth distribution of information are calculated by using the Borel–Cantelli lemma and the strong law of large numbers. Furthermore, the optimal control strategy for the stochastic model is proposed using the Hamiltonian function. The results of the theoretical analysis are supported by numerical simulations and compared to the parameter variations of the deterministic model. The results of this study indicate that white noise facilitates the spread of information. The intensity of perturbation is proportional to the fluctuation of information spreading. Controlling random parameters can effectively facilitate the spread of information. For positive information, the randomness and complexity of the social system should be utilized to increase the spread of information. In contrast, for negative information, randomness in the social system should be suppressed to the greatest extent possible to limit information dissemination.
BMP signaling during craniofacial development: new insights into pathological mechanisms leading to craniofacial anomalies
Authors: Ueharu Hiroki , Mishina Yuji
Published: May 2023

Cranial neural crest cells (NCCs) are the origin of the anterior part of the face and the head. Cranial NCCs are multipotent cells giving rise to bones, cartilage, adipose-tissues in the face, and neural cells, melanocytes, and others. The behavior of cranial NCCs (proliferation, cell death, migration, differentiation, and cell fate specification) are well regulated by several signaling pathways; abnormalities in their behavior are often reported as causative reasons for craniofacial anomalies (CFAs), which occur in 1 in 100 newborns in the United States. Understanding the pathological mechanisms of CFAs would facilitate strategies for identifying, preventing, and treating CFAs. Bone morphogenetic protein (BMP) signaling plays a pleiotropic role in many cellular processes during embryonic development. We and others have reported that abnormalities in BMP signaling in cranial NCCs develop CFAs in mice. Abnormal levels of BMP signaling cause miscorrelation with other signaling pathways such as Wnt signaling and FGF signaling, which mutations in the signaling pathways are known to develop CFAs in mice and humans. Recent Genome-Wide Association Studies and exome sequencing demonstrated that some patients with CFAs presented single nucleotide polymorphisms (SNPs), missense mutations, and duplication of genes related to BMP signaling activities, suggesting that defects in abnormal BMP signaling in human embryos develop CFAs. There are still a few cases of BMP-related patients with CFAs. One speculation is that human embryos with mutations in coding regions of BMP-related genes undergo embryonic lethality before developing the craniofacial region as well as mice development; however, no reports are available that show embryonic lethality caused by BMP mutations in humans. In this review, we will summarize the recent advances in the understanding of BMP signaling during craniofacial development in mice and describe how we can translate the knowledge from the transgenic mice to CFAs in humans.
Metropolitan governance in the context of dynamic urbanization: the case of Brazil
Authors: Zimmermann Karsten , Leonel Ana Lia , Kontopp Marcio A.
Published: May 2023

This study discusses the evolvement of metropolitan governance in Brazil and uses greater São Paulo as an in-depth case study to demonstrate how metropolitan governance is organized in a megacity region in the Global South. This is of interest as many publications in this specific academic field focus on European or North American city regions that are, on average, smaller in size and part of multi-level governance systems. Hence, many theoretical positions that are established in the scholarly debate do not work well in the context of megacities. The study will describe how the metropolitan governance arrangement in greater São Paulo evolved and reflected on the setbacks and success of metropolitan planning and policies in the context of uncertain state support. Metropolitan regions have been established in Brazil by the military regime in the mid-1970s for industrialization and comprehensive top-down planning. After the fall of the regime in the 1980s, the question of metropolitan regions was delegated to the states which created a sort of institutional vacuum and a lack of dedicated policies. In 2018, however, Brazil had 76 institutionalized metropolitan regions but these differ in size and institutional strength. The metropolitan region of São Paulo is the biggest as it comprises 39 municipalities with approximately 20 million inhabitants. However, given the dynamic of expansion, the question of establishing an appropriate scale emerged. Attempts to create a governance arrangement for regional development and strategic planning for the so-called São Paulo Macrometropolis with 172 municipalities and roughly 32 million inhabitants failed. However, in a separate process, over decades, seven metropolitan regions emerged on a smaller scale (the São Paulo Metropolitan Region being one of them). The study is based on a literature review, document analysis (laws in particular), and workshops with Brazilian colleagues that happened within the context of a research project on environmental planning and water governance in the greater São Paulo Metropolitan Region.
Youth are united online to fight against involution: a study of group cohesion on Weibo
Authors: Zhang Yang , Ji Tong
Published: May 2023

Background

In China, involution, which means pressure to out-compete other group members, has attracted public attention on Weibo. The new online connotation of involution empowered group cohesion among youth. Dissimilar to other crises, this crise also closely relates to group cohesion concept. However, few previous group cohesion-related studies focus on this critical concept. This study explains why and how youth created group cohesion online when facing involution. First, by examining the relationship between involution and group cohesion. Second, by examining whether youth are united in the online discussion of involution by investigating the generational gap. Following this, this study analyzes the different opinions to identify why this group cohesion occurs, how youth think about involution, and why they regard “older adults” as others. Lastly, this study analyzes how youth use hashtags to attract more youth to voice their opinions, consequently leading to greater group cohesion.

Methods

By combining frontier computational methods with causation and axial coding, this study proposes a new way to in-depth analyze group cohesion on social media.

Results

The results indicate that involution triggers poor online group cohesion, and online involution-related hot issues trigger identity-based group cohesion. Additionally, youth are significantly more negative than older adults, and their expressions are full of identity-based construction. By stressing the social roots and blaming the “other” (older adult group), youth united together online. These findings indicated that a generation gap does indeed exist and that youth unite on social media by posting related hashtags via “revealing social identity” and “positioning and becoming” strategies.

Conclusion

The findings stress that involution is related to poor group cohesion and that social media offers a new way to face the involution crisis. Youth will use hashtags to unite and blame imagined enemies, such as older adults and the upper class. These findings might assist in understanding interventions that lead to more group cohesion.
Approach to theoretical perspectives of “sexual harassment”: review and bibliometric analysis from social sciences
Authors: Cuenca-Piqueras Cristina , Fernández-Prados Juan Sebastián , González-Moreno María José
Published: May 2023

The main goal of this paper is to give an overlook of the current state of sexual harassment. In order to do so, we started making a synthesis of the main theoretical approaches to explain sexual harassment, trying to group the studies into different currents that have historically analyzed this type of violence, to see whether the bibliometric analysis shows a similar presence of the different approaches. To carry out the bibliographic analysis we extracted the documents from the Scopus databases (using the keyword “sexual harassment” up to the year 2021 in the field of social sciences), where after these texts were examined with the tool VOSviewer. A description was made of the evolution of the number of articles on sexual harassment and within the areas of research and, also, the coincidences of keywords and co-authorships, highlighting the nationality and the main authors in number of citations. The results show a growth in interest in researching sexual harassment, specifically after the allegations against producer Harvey Weinstein and the #metoo movement. In the keyword analysis, there is a trend towards studies focused on the work environment and with a gender perspective. Finally, in the cluster analysis of the authorship of the texts, the results suggest the different theoretical approaches most used in the analysis of sexual harassment: socio-cultural, organizational, and multi-dimensional.
How relative deprivation affects the sleep quality of Chinese college students: testing an integrated model of social anxiety and trait mindfulness
Authors: Xiong Meng , Chen Jiao , Ye Yiduo
Published: May 2023

Although previous studies have confirmed the association between relative deprivation and individual health, the relationship between and underlying mechanisms of relative deprivation and sleep quality have rarely been explored. Therefore, the present study investigated how relative deprivation affected sleep quality by testing an integrated model and examining the roles of social anxiety and trait mindfulness. We surveyed 568 college students using the Relative Deprivation Scale, Interaction Anxiousness Scale, Mindful Attention Awareness Scale, and Pittsburg Sleep Quality Index. Data were analyzed using SPSS 24.0 and PROCESS macro for SPSS. We found that a high relative deprivation score predicted poor sleep quality, and social anxiety partially mediated this relationship. Our model also indicated that the relationship between relative deprivation and sleep quality via social anxiety was moderated by mindfulness. Specifically, increasing trait mindfulness may decrease the indirect effect of relative deprivation on sleep quality through social anxiety. The current study expands our understanding of the underlying mechanisms, paths, and conditions of the effects of relative deprivation on sleep quality. Furthermore, we provide additional evidence that trait mindfulness can mitigate the adverse effects of negative events. College students should consciously use trait mindfulness techniques to consider problems, reduce anxiety, and improve their sleep quality.
Caregivers’ anxiety and perception of their children’s wellbeing: a year into the COVID-19 pandemic
Authors: Pena-Shaff Judith , Heckart Ashtyn , Mannion Caroline , Barry Kayla
Published: May 2023

The COVID-19 pandemic and related social restrictions disrupted family routines affecting millions of youths and their caregivers worldwide. This study explored the relationship between caregivers’ anxiety and their children’s emotional states 1 year after COVID-19, as well as differences between caregivers’ perceptions of their children’s emotional states and reality. Sixty-eight caregiver-child pairs completed an online survey between March 31 and May 31, 2021. Our analysis showed positive correlations between caregivers’ anxiety and children’s wellbeing, worries about children’s use of time, and a variety of negative emotional states in their children. Caregivers’ anxiety about their children’s wellbeing was negatively correlated with their children’s perceptions of self-control. Caregivers’ anxiety about their personal wellbeing was negatively correlated with children’s feelings of busyness and positively associated to their children’s fear. Caregivers’ perception of COVID-19 as a challenging experience was positively associated with some of their children’s negative emotions. Overall, caregivers were accurate about children’s emotional experiences in the previous 3 months with some exceptions: their children felt lonelier and more worried about schoolwork and grades than their caregivers realized. These findings will help researchers and practitioners further explore the sources of caregivers’ anxiety and their relationship with children’s emotions and stress management as countries move toward a new normal.
Guaranteed Income and Financial Treatment Trial (GIFT Trial or GIFTT): a 12-month, randomized controlled trial to compare the effectiveness of monthly unconditional cash transfers to treatment as usual in reducing financial toxicity in people with cancer who have low incomes
Authors: Doherty Meredith , Heintz Jonathan , Leader Amy , Wittenburg David , Ben-Shalom Yonatan , Jacoby Jessica , Castro Amy , West Stacia
Published: May 2023

Cancer-related financial hardship (i.e., financial toxicity) has been associated with anxiety and depression, greater pain and symptom burden, treatment nonadherence, and mortality. Out-of-pocket healthcare costs and lost income are primary drivers of financial toxicity, however, income loss is a pronounced risk factor for cancer patients with low incomes. There has been little progress in developing an income intervention to alleviate financial toxicity cancer patients with low incomes. Unconditional cash transfers (UCT), or guaranteed income, have produced positive health effects in experiments with general low-income populations, but have not yet been evaluated in people with cancer. The Guaranteed Income and Financial Treatment (GIFT) Trial will use a two-arm randomized controlled trial to compare the efficacy of a 12-month UCT intervention providing $1000/month to treatment as usual on financial toxicity, health-related quality of life and treatment adherence in people with cancer who have low-incomes. The study will recruit 250 Medicaid beneficiaries with advanced cancer from two comprehensive cancer centers in Philadelphia, obtain informed consent, and randomize patients to one of two conditions: (1) $1,000/month UCT or (2) treatment as usual. Both arms will receive information on financial toxicity and the contact information for their hospital social worker or financial advocate upon enrollment. Participants will complete online surveys at baseline, 3, 6, 9, and 12 months from enrollment to collect patient-reported data on primary (i.e., financial toxicity, health-related quality of life, and treatment adherence) and secondary outcomes (i.e., anxiety, depression, food insecurity, housing stability). Social security records will be used to explore the effect on mortality at 2, 3, and 5 years post-enrollment. Linear mixed-models will be used to analyze all primary and secondary continuous outcomes over time and general estimating equations with a logit link and binary distribution for all binary outcomes over time. Differences between treatment and control groups and treatment effects will be determined using models that control for age, gender, race, baseline food security, baseline housing stability, and baseline ECOG. Findings from this study will have significant implications for the development and implementation of programs and policies that address the financial burden of cancer and other serious illnesses.
The effect of post-traumatic growth on recovery in liver transplant recipients
Authors: Harmanci Pinar , Bulbuloglu Semra
Published: May 2023

Aim

In our study, we examined the effect of post-traumatic growth on recovery in liver transplant recipients in the post-transplant period.

Method

This research was performed as a descriptive and cross-sectional study with the participation of 218 patients who had liver transplantation at the liver transplant institute of a research and training hospital. The personal information form, the Post-Traumatic Growth Inventory, and the Recovery Assessment Scale were used in the data collection process. The Statistical Package for Social Science 25.0 was utilized in the data analysis process.

Findings

In the research, of all participant liver transplant recipients, 67.8% were aged 45–64 years, 34.4% had incomes below expenses, and 91.7% had living donor liver transplantation. Besides, it was found that participants who had living donor liver transplantation obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had cadaveric donor liver transplantation, and likewise, participants who had past surgery experiences obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had no past surgery experience (p < 0.05). Moreover, there was a statistically significant positive linear relationship between participant liver transplant recipients’ Post-Traumatic Growth Inventory and Recovery Assessment Scale scores.

Conclusion

Post-traumatic growth supports recovery. Also, social support and a good economic situation are other parameters that promote recovery. In the two-year process during which the treatment is intensively applied to liver transplant recipients following the transplantation surgery, it is important to enable patients to find more meaning in life and to find solutions that facilitate recovery.
From lab to mass production: a policy for enabling the licensing of mRNA vaccines
Authors: Panagopoulos Andreas , Sideri Katerina
Published: May 2023

Using the South African vaccine technology transfer hub supported by the WHO as an example, we show that the know-how needed to move mRNA vaccines from prototype to mass-production acts as an invisible barrier to market entry of mRNA vaccines. Overcoming this barrier relies on scarce human capital. In view of this scarcity and in preparation for the next pandemic, we propose broadening the scope of an existing WHO program, the WHO Academy, so that it coordinates knowledge diffusion initiatives by forming a systematized repository of know-how and a register of experts. As we explain, this proposal has an advantage in overcoming barriers to entry over current approaches of know-how acquisition.
The spatial effect of digital economy on public psychological resilience during the diffusive crisis
Authors: Tao Jiancong , Wang Zhe , Li Junwei
Published: May 2023

Purpose

To explore whether the digital economy has spatial effects and spatial heterogeneity on public psychological resilience during the diffusive crisis and to analyze the specific impact mechanisms.

Methods

This study is based on the Baidu Search Index from 2011 to 2020 and the provincial panel data of 30 provinces in China. It constructs measures of public psychological resilience and digital economy development level and employs the spatial Durbin model to empirically analyze the relationship between the two, revealing their spatial impact.

Results

(1) Public psychological resilience exhibits a spatial distribution characterized by high values in the west, medium values in the central region, and low values in the east, while the digital economy development level shows a “U”-shaped spatial structure with high levels in the eastern and western regions and low levels in the middle; (2) The digital economy development level in a local region has a negative effect on the public psychological resilience of that region, while the digital economy development level in surrounding regions has a positive spatial spillover effect on the local region’s public psychological resilience.

Conclusion

It is essential to strengthen crisis management, focus on the coordinated development of the digital economy in different regions, share the benefits of digital society development more equitably and broadly, and further improve the psychological resilience of regions under the context of digital economy development.
Hydrogen deuterium exchange and other mass spectrometry- based approaches for epitope mapping
Authors: Jethva Prashant N. , Gross Michael L.
Published: May 2023

Antigen-antibody interactions are a fundamental subset of protein-protein interactions responsible for the “survival of the fittest.” Determining the interacting interface of the antigen, called an epitope, and that on the antibody, called a paratope, is crucial to antibody development. Because each antigen presents multiple epitopes (unique footprints), sophisticated approaches are required to determine the target region for a given antibody. Although X-ray crystallography, Cryo-EM, and nuclear magnetic resonance can provide atomic details of an epitope, they are often laborious, poor in throughput, and insensitive. Mass spectrometry-based approaches offer rapid turnaround, intermediate structural resolution, and virtually no size limit for the antigen, making them a vital approach for epitope mapping. In this review, we describe in detail the principles of hydrogen deuterium exchange mass spectrometry in application to epitope mapping. We also show that a combination of MS-based approaches can assist or complement epitope mapping and push the limit of structural resolution to the residue level. We describe in detail the MS methods used in epitope mapping, provide our perspective about the approaches, and focus on elucidating the role that HDX-MS is playing now and in the future by organizing a discussion centered around several improvements in prototype instrument/applications used for epitope mapping. At the end, we provide a tabular summary of the current literature on HDX-MS-based epitope mapping.
Sheltering difference: (un)doing the migrant/volunteer divide through sheltering practices in Mexico and the Netherlands
Authors: Merlín-Escorza Cesar E. , Schapendonk Joris , Davids Tine
Published: May 2023

While acknowledging the important role of shelter organizations in protecting migrant rights, recent debates point to the thin line between care and control practices within shelters. This study seeks to deepen this observation by approaching shelters as spaces defined by a constant inward/outward mobility of people. From this starting point, we use the de-migranticization framework to understand and question the normalization of difference that divides migrant people (being reproduced as the typical guest) from international volunteers (being reproduced as the typical host) through sheltering practices in two rather different geopolitical contexts (Mexico and the Netherlands). We use our ethnographic insights to not only illustrate how difference is reproduced but also to analyze the practices that seek to transgress and undo these divides. We argue that highlighting the conviviality and interconnectedness between these differentiated actors in the broader context of cross-border mobility is of vital importance to question and overcome the coloniality of contemporary border regimes. However, we do not imply that these aspects have the potential to completely undo difference, as they are a constant struggle embedded in the relational practices of the people composing such a divide.
A polycentric network strategy for regional diversification of agriculture: theory and implementation
Authors: Jordan Nicholas R. , Wilson David Sloan , Noble Kate , Miller Keith , Conway Tara Maireid , Cureton Colin
Published: May 2023

Widespread and substantial diversification of current agroecosystems appears fundamental to meeting many grand challenges in agriculture. Despite urgent calls for diversification on regional scales, particularly in regions dominated by industrialized, low-diversity agriculture, strategies for diversification on such scales are in early stages of development, conceptually and practically. We outline such a strategy, and its implementation by the Forever Green Partnership, a public-private-NGO coalition in support of agricultural diversification in the U.S. Midwest region. Our strategy supports introduction and scaling of multiple novel crops in a region, which requires development of many interdependent supporting elements, including supportive markets, infrastructure, policy, finance, and R&D. The core of our strategy is development of sustainable supply chains (SSCs) for a set of novel crops. We define SSCs as rudimentary systems of these supporting elements for novel crops, linking on-farm crop production to end-use markets while advancing economic, environmental, and social sustainability criteria that are demanded by stakeholders. SSCs provide a scaffold upon which fully-developed support systems for multiple novel crops can be constructed, thus driving regional diversification. SSCs cannot be “built in a day”; rather they must evolve as production of novel crops expands over time and space, and as new challenges and opportunities emerge. Therefore, regional diversification requires a system to sustain this evolutionary process across time and multiple novel crops. We posit that an effective system can be built from two crucial elements: a process of conscious and concerted cultural evolution, and a polycentric network that organizes and supports that process. We outline this system and its conceptual basis, and its implementation by the Forever Green Partnership, and associated challenges and accomplishments. Three years after its inception, the Partnership has attracted substantial resources, developed a polycentric network, and some elements of the cultural-evolution process are in place. However, node development is uneven across the network, hindering its operation. In addition to advancing strategies for regional-scale diversification, the Partnership is seeking to advance conceptual and practical understanding of sustainability transitions in agriculture, and to explore the potential value of conscious cultural evolution in such transitions.
Eggshell translucency in late-phase laying hens and its effect on egg quality and physiological indicators
Authors: Ren He-Ling , Zhao Xiao-Yu , Di Ke-Qian , Li Lan-Hui , Hao Er-Ying , Chen Hui , Zhou Rong-Yan , Nie Chang-Sheng , Wang De-He
Published: May 2023

Eggshell translucency severely affects external egg quality, and variations in the eggshell or eggshell membrane are considered the structural basis of the trait. Research has shown that 1.85% additional mixed fatty acids in the diet would greatly decrease the occurrence of eggshell translucency. Only a few studies have examined the phenotypic regularity of eggshell translucency with the increasing age of hens. Therefore, two strains, 1139 Rhode Island Red-White (RIR-White) and 836 Dwarf Layer-White (DWL-White), were used, and from each strain, 30 hens each that consecutively laid translucent or opaque eggs at 67 wks of age were selected. Subsequently, eggshell translucency, internal quality and external quality of eggs, and total cholesterol, albumin, calcium binding protein and other physiological indicators related to lipid, lipoprotein, and calcium metabolisms at the 75th, 79th, and 83rd wks of age in the late phase of the laying cycle were determined. Results: (1) In terms of flocks, for both strains, the translucency scores of the translucent groups were significantly higher than those of the opaque groups (P < 0.05); in terms of individuals, 81.1% RIR-White and 82.8% DWL-White hens consecutively laid eggs of the same or similar translucency, indicating the stability of the trait with increasing hen age; (2) In RIR-White, the eggshell strength of the translucent group at 75 weeks was significantly higher than that of the opaque group (P < 0.05); in DWL-White, the eggshell membrane thickness of the translucent group at the 75th and 83rd weeks was significantly lower than that of the opaque group (P < 0.05); (3) Compared to the opaque groups, the translucent groups had lower total cholesterol content in both RIR-White and DWL-White, lower albumin content in DWL-White at the 79th weeks (P < 0.05), and higher calcium-binding protein (CALB1) in RIR-White at the 83rd weeks (P < 0.05). In summary, this study illustrates the stability of eggshell translucency in late-phase laying hens and provides a reference of physiological indicators for exploring the formation of translucent eggs.
Long transportation duration affects nutrient composition, mycotoxins and microbial community in whole-plant corn silage
Authors: Zhang Caixia , Jiang Jun , Li Junfeng , Zhang Jiming , Zhang Xinyue , Wang Hairong
Published: May 2023

Introduction

Potential nutrient losses and mycotoxin accumulation caused by abnormal fermentation during transportation from cropland to dairy farms leads to the diseases incidence and threatens the health of dairy cows, then further causes financial losses. The aim of this study was to investigate the effects of different transportation times on the nutritional composition, mycotoxins, and microbial communities in whole-plant corn silage (WPCS).

Methods

Three groups were subjected to different transport times: DY, short (<200 min); ZY, medium time (300–500 min); and CY, long transport time (>600 min). WPCS were collected from the same field, and nutrient composition and microbial composition before and after transportation were analyzed.

Results and discussion

Our results showed that the temperature of WPCS was higher in the ZY and CY groups than in the DY group (P < 0.01). There were no significant differences in dry matter (DM), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), ether extract (EE) and starch contents after different transportation times (P > 0.05), whereas the starch and water-soluble carbohydrates (WSC) contents in the CY group was significantly decreased after transport (P < 0.05). Similarly, the concentration of vomitoxin in the DY and CY groups declined markedly (P < 0.05) and the zearalenone content in the DY group also significantly decreased after transportation (P < 0.05). Regarding the analysis of microorganisms in WPCS, UniFrac-distance matrices and Shannon indices showed differences in the ZY group (P < 0.05), but fungal diversities were not influenced by the transport time (P > 0.05). In the ZY group, the relative abundance of Lactiplantibacillus decreased significantly after transportation (P > 0.05), but the relative abundances of unidentified_Chloroplast, Pantoea, Gluconobacter, unidentified Acetobacter and Acinetobacter increased markedly (P < 0.05). In addition, the relative abundances of Acetobacter and Gluconobacter in the CY group increased after transport (P < 0.05). Among fungal communities, a total of three, nine, and ten different fungal flora were observed in the DY, ZY, and CY groups, respectively, although no difference was found in fungal diversity. In conclusion, increased temperature, loss of starch, and mycotoxin variation were found with increased transport time. This might be the result of competition between bacteria and fungi, and novel technologies will need to be utilized for further exploration of the mechanism.
Interference of Echo-Signals from Two Buried Spherical Targets
Authors: Grigorieva Natalie S. , Legusha Fiodor F. , Nikushchenko Dmitry V. , Safronov Kirill S.
Published: May 2023

A numerically efficient technique is presented for computing the backscattered fields from two spherical targets embedded in an underwater sediment. The bottom is assumed to be a homogeneous liquid attenuating half-space. The transmitter/receiver is located in a homogeneous water half-space. The distances between the transmitter/receiver and objects of interest are supposed to be large compared to the acoustic wavelengths in water and seabed. In simulations, the spherical scatterers of the same radius are assumed to be acoustically rigid. The interactions between two spheres are not taken into account because of the strong attenuation in the bottom. The scattering from one sphere in a wide frequency range is determined using the Hackman and Sammelmann’s general approach. The arising scattering coefficients of the sphere are evaluated using the steepest descent method. The obtained asymptotic expressions for the scattering coefficients essentially allowed to decrease a number of summands in the formula for the form-function of the backscattered acoustic field.
A Coupled Heat Transfer Calculation Strategy for Composite Cooling Liquid Rocket Engine
Authors: Xu Bo , Chen Bing , Peng Jian , Zhou Wenyuan , Xu Xu
Published: May 2023

To better understand the characteristics of coupled heat transfer in liquid rocket engines, a calculation scheme is proposed in this paper. This scheme can simulate the coupled heat transfer processes, including combustion and flow in the thrust chamber, radiation heat transfer, heat conduction in the wall, heat transfer of coolant flow in the cooling channel, and gas film cooling in the thrust chamber wall. The numerical method used in each physical area, the data transfer method between each computing module, the strategy of data transfer on the coupling interface, the calculation process, and the convergence criterion are all introduced in detail. The calculation scheme was verified by analyzing a water-cooled nozzle. Then, the coupled heat transfer calculation was carried out for a liquid rocket engine using a propellant composed of unsymmetrical dimethylhydrazine and dinitrogen tetroxide. Two working conditions were analyzed: whether the gas film cooling was performed or not. The results showed that the algorithm successfully indicated the protective effect of the gas film on the wall surface, and the calculation results were reasonable. It played a guiding role for the coupled heat transfer of the liquid rocket engine using a composite cooling method.