bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism
Authors: Chen Chen , Chen Cheng , Ma Mingrui , Ma Xiaojian , Lv Xiaoyi , Dong Xiaogang , Yan Ziwei , Zhu Min , Chen Jiajia 
Published: July 2022

Abstract
Purpose
Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately differentiated, and well differentiated. Diagnosis and treatment of different levels of differentiation are crucial to the survival rate and survival time of patients. As the gold standard for liver cancer diagnosis, histopathological images can accurately distinguish liver cancers of different levels of differentiation. Therefore, the study of intelligent classification of histopathological images is of great significance to patients with liver cancer. At present, the classification of histopathological images of liver cancer with different degrees of differentiation has disadvantages such as time-consuming, labor-intensive, and large manual investment. In this context, the importance of intelligent classification of histopathological images is obvious.

Methods
Based on the development of a complete data acquisition scheme, this paper applies the SENet deep learning model to the intelligent classification of all types of differentiated liver cancer histopathological images for the first time, and compares it with the four deep learning models of VGG16, ResNet50, ResNet_CBAM, and SKNet. The evaluation indexes adopted in this paper include confusion matrix, Precision, recall, F1 Score, etc. These evaluation indexes can be used to evaluate the model in a very comprehensive and accurate way.

Results
Five different deep learning classification models are applied to collect the data set and evaluate model. The experimental results show that the SENet model has achieved the best classification effect with an accuracy of 95.27%. The model also has good reliability and generalization ability. The experiment proves that the SENet deep learning model has a good application prospect in the intelligent classification of histopathological images.

Conclusions
This study also proves that deep learning has great application value in solving the time-consuming and laborious problems existing in traditional manual film reading, and it has certain practical significance for the intelligent classification research of other cancer histopathological images.
Correlates of turnover intention among nursing staff in the COVID-19 pandemic: a systematic review
Authors: Tolksdorf Katharina Herta , Tischler Ulla , Heinrichs Katherina 
Published: July 2022

Abstract
Background
During the COVID-19 pandemic, shortage of nursing staff became even more evident. Nurses experienced great strain, putting them at risk to leave their jobs. Individual and organizational factors were known to be associated with nurses’ turnover intention before the pandemic. The knowledge of factors associated with turnover intention during the pandemic could help to foster nurses’ retention. Therefore, this review aims to identify factors associated with nurses’ turnover intention during the COVID-19 pandemic.

Methods
After a systematic search of six databases, the resulting records were screened in a two-step process based on pre-defined inclusion and exclusion criteria. The included quantitative studies were synthesized qualitatively due to their methodological heterogeneity.

Results
A total of 19 articles were included in the analysis. Individual factors such as health factors or psychological symptoms and demographic characteristics were associated with nurses’ turnover intention. Organizational factors associated with turnover intention were e.g., caring for COVID-19 patients, low job control or high job demands, and moral distress. Resilience and supporting leadership could mitigate adverse associations with turnover intention.

Conclusions
The results help to identify high-risk groups according to individual factors and to develop possible interventions, such as trainings for nurses and their superiors, addressing individual and organizational factors. Future research should focus on longitudinal designs applying carefully defined concepts of turnover intention.
Recruiting males to the nursing profession: acceptability testing of the ‘Make a Difference with Nursing’ intervention for post-primary school students
Authors: Linden Mark A. , Mitchell Gary , Carlisle Susan , Rainey Debbie , Mulvenna Caroline , Monaghan Catherine 
Published: July 2022

Abstract
Background
The nursing profession is facing a worldwide recruitment shortage which could be partially addressed by recruiting more males. However, in many developed countries numbers of male nurses have traditionally been low. To address this issue we developed and tested a post-primary school-based intervention to recruit more males into the nursing profession.

Methods
Participants included thirty-four female students drawn from an all-girls post-primary school, fifty-one males from an all-boys post-primary school and seven males and fifteen females drawn from a mixed gender post-primary school, all located in Northern Ireland. Participants were all sixteen years of age and were in receipt of careers education. The intervention titled ‘Make a Difference with Nursing’ was co-designed with careers teachers, nurses and post-primary school students. This video based intervention was created to fit within existing career lessons and featured nursing staff and students describing their experiences of the profession. Participants completed the six domains of Nursing as a Career Choice Questionnaire prior to viewing the intervention and again after viewing.

Results
Positive and statistically significant increases in perceptions of the nursing profession were found between pre and post test scores across all six domains. No statistically significant differences in perceptions were found between males and females after watching the intervention. Comparison by school type showed statistically significant differences on the domains of prior healthcare exposure (p = 0.046; 95% CI -0.19 to 3.79) and job prospects (p = 0.005; 95% CI 1.04 to 7.01). Students from the all-girls school rated these more positively than those from the all-boys and mixed-gender schools.

Conclusions
A short video presentation to post-primary school students is capable of changing how they perceive the nursing profession. Students expressed surprise over the variety of professional nursing roles suggesting that many were not well informed about the realities of nursing. Providing tailored resources for use in careers lessons can better educate students and teachers about nursing and provide positive portrayals of male role models in the profession.
Towards the achievement of universal health coverage in the Democratic Republic of Congo: does the Country walk its talk?
Authors: Nyamugira Alexis Biringanine , Richter Adrian , Furaha Germaine , Flessa Steffen 
Published: July 2022

AbstractIn 2009, the Democratic Republic of Congo (DRC) started its journey towards achieving Universal Health Coverage (UHC). This study examines the evolution of financial risk protection and health outcomes indicators in the context of the commitment of DRC to UHC. To measure the effects of such a commitment on financial risk protection and health outcomes indicators, we analyse whether changes have occurred over the last two decades and, if applicable, when these changes happened. Using five variables as indicators for the measurement of the financial risk protection component, there as well retained three indicators to measure health outcomes. To identify time-related effects, we applied the parametric approach of breakpoint regression to detect whether the UHC journey has brought change and when exactly the change has occurred.Although there is a slight improvement in the financial risk protection indicators, we found that the adopted strategies have fostered access to healthcare for the wealthiest quantile of the population while neglecting the majority of the poorest. The government did not thrive persistently over the past decade to meet its commitment to allocate adequate funds to health expenditures. In addition, the support from donors appears to be unstable, unpredictable and unsustainable. We found a slight improvement in health outcomes attributable to direct investment in building health centres by the private sector and international organizations. Overall, our findings reveal that the prevention of catastrophic health expenditure is still not sufficiently prioritized by the country, and mostly for the majority of the poorest. Therefore, our work suggests that DRC’s UHC journey has slightly contributed to improve the financial risk protection and health outcomes indicators but much effort should be undertaken.
Predictors of mHealth use in promoting adherence to pre-exposure prophylaxis among female sex workers: an evaluation of the Jichunge intervention in Dar es Salaam, Tanzania
Authors: Mbotwa Christopher , Kazaura Method , Moen Kåre , Leshabari Melkizedeck , Metta Emmy , Leyna Germana , Mmbaga Elia J. 
Published: July 2022

Abstract
Background
There is evidence that pre-exposure prophylaxis (PrEP) is effective in preventing HIV transmission, and PrEP is recommended by the World Health organization (WHO) for use by individuals at high risk of HIV infection. However, low adherence has been reported to hamper its effectiveness. Some evidence indicates that mHealth interventions may be a promising way of promoting PrEP adherence. Nevertheless, evaluations of mHealth interventions in Africa, the region most affected by HIV, are scarce. This study aimed at identifying the extent of and predictors for use of a smartphone based mHealth application among female sex workers in Dar es Salaam, Tanzania.

Methods
As part of a quasi-experimental study in Tanzania, 470 female sex workers who were eligible for PrEP and who owned a smartphone were recruited using respondent driven sampling. All participants were provided with an mHealth application called Jichunge, a smartphone-based app designed to promote adherence to PrEP by offering users information, advise and support during start-up and use of PrEP. We collected data through structured interviews at baseline and extracted user data from the app for a period of 30 days. Modified Poisson regression model with robust standard errors was used to identify predictors for the optimal use of the Jichunge app.

Results
Overall, the optimal use of the Jichunge app was 46.4%. Optimal use was significantly higher among women who were older (aPR = 1.3, 95% CI: 1.10-1.65, p = 0.004 for age 25-34 years, and aPR = 1.6, 95% CI: 1.19-2.07, p = 0.001 for age at least 35 years), who had secondary education or higher (aPR = 1.8, 95% CI: 1.08-2.94, p = 0.023), who had suboptimal social support (aPR = 1.2, 95% CI: 1.02-1.48, p = 0.030), who had high awareness of PrEP (aPR = 1.3, 95% CI: 1.08-1.55, p = 0.005), and who had experience using common mainstream social media applications (aPR = 1.4, 95% CI: 1.08-1.71, p = 0.009).

Conclusion
Optimal use of the Jichunge app was substantially higher among women with higher age, higher education, higher PrEP awareness, less social support, and experience using common social media applications. Individual and interpersonal factors should be considered in planning mHealth interventions. Further studies to determine predictors of longer-term mHealth engagement are needed.

Trial registration
International Clinical Trials Registry Platform PACTR202003823226570; 04.03.2020.
Engineering heterologous enzyme secretion in Yarrowia lipolytica
Authors: Wang Weigao , Blenner Mark A. 
Published: July 2022

Abstract
Background
Eukaryotic cells are often preferred for the production of complex enzymes and biopharmaceuticals due to their ability to form post-translational modifications and inherent quality control system within the endoplasmic reticulum (ER). A non-conventional yeast species, Yarrowia lipolytica, has attracted attention due to its high protein secretion capacity and advanced secretory pathway. Common means of improving protein secretion in Y. lipolytica include codon optimization, increased gene copy number, inducible expression, and secretory tag engineering. In this study, we develop effective strategies to enhance protein secretion using the model heterologous enzyme T4 lysozyme.

Results
By engineering the commonly used native lip2prepro secretion signal, we have successfully improved secreted T4 lysozyme titer by 17-fold. Similar improvements were measured for other heterologous proteins, including hrGFP and $$\alpha$$
α
-amylase. In addition to secretion tag engineering, we engineered the secretory pathway by expanding the ER and co-expressing heterologous enzymes in the secretion tag processing pathway, resulting in combined 50-fold improvement in T4 lysozyme secretion.

Conclusions
Overall, our combined strategies not only proved effective in improving the protein production in Yarrowia lipolytica, but also hint the possible existence of a different mechanism of secretion regulation in ER and Golgi body in this non-conventional yeast.
Efficacy and safety of intravenous daratumumab-based treatments for AL amyloidosis: a systematic review and meta-analysis
Authors: Sun Chunyan , Wang Xiaohong , Zhang Renyi , Xu Lingjie , Wang Bin , Li Jian 
Published: July 2022

Abstract
Background
Intravenous daratumumab (DARA IV) has been increasingly used in the treatment of amyloid light-chain (AL) amyloidosis. However, the outcomes for patients administered with DARA IV have not been aggregated. The objective of this systematic review and meta-analysis was to investigate the efficacy and safety of DARA IV for AL amyloidosis.

Methods
We searched Medline, EMBASE, Cochrane Library and Web of Science up to 17 June 2021. Response rates and survival rates, and the corresponding 95% confidence intervals (CIs) were pooled and calculated using a fixed-effects model.

Results
Thirty studies (5 cohort studies and 25 single-arm studies) with 997 patients were included. In patients receiving DARA IV-based treatments, very good partial response or better response rate, complete response rate, very good partial response rate, partial response rate and overall response rate were 66% (95% CI, 62–69%), 30% (95% CI, 23–36%), 40% (95% CI, 33–46%), 17% (95% CI, 14–21%), and 77% (95% CI, 73–80%), respectively. Cardiac and renal responses were 41% (95% CI, 34–49%) and 43% (95% CI, 32–54%), respectively. 58% (95% CI, 49–66%) of patients achieved PFS one year or longer. 2.5% (range, 1–10.0%) of patients experienced grade 3 or 4 adverse events, of which the most common adverse event was lymphocytopenia (range, 13.6–25.0%).

Conclusion
This study supports the efficacy and safety of DARA IV for the treatment of patients with AL amyloidosis.
Salidroside attenuates neuronal ferroptosis by activating the Nrf2/HO1 signaling pathway in Aβ1-42-induced Alzheimer’s disease mice and glutamate-injured HT22 cells
Authors: Yang Sixia , xie Zeping , Pei Tingting , zeng Yi , Xiong Qiaowu , Wei Hui , Wang Yong , Cheng Weidong 
Published: July 2022

Abstract
Background
Alzheimer’s disease (AD) is a neurodegenerative disease. Ferroptosis plays a critical role in neurodegenerative diseases. Nuclear factor E2-related factor 2 (Nrf2) is considered an important factor in ferroptosis. Studies have demonstrated that salidroside has a potential therapeutic effect on AD. The intrinsic effect of salidroside on ferroptosis is unclear. The purpose of this study was to investigate the protective effects and pharmacological mechanisms of salidroside on alleviating neuronal ferroptosis in Aβ1−42-induced AD mice and glutamate-injured HT22 cells.

Methods
HT22 cells were injured by glutamate (Glu), HT22 cells transfected with siRNA Nrf2, and Aβ1−42-induced WT and Nrf2−/−AD mice were treated with salidroside. The mitochondria ultrastructure, intracellular Fe2+, reactive oxygen species, mitochondrial membrane potential, and lipid peroxidation of HT22 cells were detected. Malondialdehyde, reduced glutathione, oxidized glutathione disulfide, and superoxide dismutase were measured. The novel object recognition test, Y-maze, and open field test were used to investigate the protective effects of salidroside on Aβ1−42-induced WT and Nrf2−/−AD mice. The protein expressions of PTGS2, GPX4, Nrf2, and HO1 in the hippocampus were investigated by Western blot.

Results
Salidroside increased the cell viability and the level of MMP of Glu-injured HT22 cells, reduced the level of lipid peroxidation and ROS, and increased GPX4 and SLC7A11 protein expressions. These changes were not observed in siRNA Nrf2 transfected HT22 cells. Salidroside improved the ultrastructural changes in mitochondria of HT22 cells and Aβ1−42-induced AD mice, but not in Aβ1−42-induced Nrf2−/−AD mice. Salidroside increased protein expression levels of GPX4, HO1, and NQO1 and decreased protein expression of PTGS2 in Aβ1−42-induced AD mice but not in Aβ1−42-induced Nrf2−/−AD mice.

Conclusions
Salidroside plays a neuroprotective role by inhibiting neuronal ferroptosis in Aβ1−42-induced AD mice and Glu-injured HT22 cells, and its mechanism is related to activation of the Nrf2/HO1 signaling pathway.

Graphical Abstract
Fluid accumulation and major adverse kidney events in sepsis: a multicenter observational study
Authors: Mele Alessandro , Cerminara Emanuele , Häbel Henrike , Rodriguez-Galvez Borja , Oldner Anders , Nelson David , Gårdh Johannes , Thobaben Ragnar , Jonmarker Sandra , Cronhjort Maria , Hollenberg Jacob , Mårtensson Johan 
Published: July 2022

Abstract
Background
Whether early fluid accumulation is a risk factor for adverse renal outcomes in septic intensive care unit (ICU) patients remains uncertain. We assessed the association between cumulative fluid balance and major adverse kidney events within 30 days (MAKE30), a composite of death, dialysis, or sustained renal dysfunction, in such patients.

Methods
We performed a multicenter, retrospective observational study in 1834 septic patients admitted to five ICUs in three hospitals in Stockholm, Sweden. We used logistic regression analysis to assess the association between cumulative fluid balance during the first two days in ICU and subsequent risk of MAKE30, adjusted for demographic factors, comorbidities, baseline creatinine, illness severity variables, haemodynamic characteristics, chloride exposure and nephrotoxic drug exposure. We assessed the strength of significant exposure variables using a relative importance analysis.

Results
Overall, 519 (28.3%) patients developed MAKE30. Median (IQR) cumulative fluid balance was 5.3 (2.8–8.1) l in the MAKE30 group and 4.1 (1.9–6.8) l in the no MAKE30 group, with non-resuscitation fluids contributing to approximately half of total fluid input in each group. The adjusted odds ratio for MAKE30 was 1.05 (95% CI 1.02–1.09) per litre cumulative fluid balance. On relative importance analysis, the strongest factors regarding MAKE30 were, in decreasing order, baseline creatinine, cumulative fluid balance, and age. In the secondary outcome analysis, the adjusted odds ratio for dialysis or sustained renal dysfunction was 1.06 (95% CI 1.01–1.11) per litre cumulative fluid balance. On separate sensitivity analyses, lower urine output and early acute kidney injury, respectively, were independently associated with MAKE30, whereas higher fluid input was not.

Conclusions
In ICU patients with sepsis, a higher cumulative fluid balance after 2 days in ICU was associated with subsequent development of major adverse kidney events within 30 days, including death, renal replacement requirement, or persistent renal dysfunction.
Anti-social behaviour in the coronavirus pandemic
Authors: Halford Eric , Dixon Anthony , Farrell Graham 
Published: July 2022

AbstractAnti-social behaviour recorded by police more than doubled early in the coronavirus pandemic in England and Wales. This was a stark contrast to the steep falls in most types of recorded crime. Why was ASB so different? Was it changes in ‘traditional’ ASB such as noisy neighbours, or was it ASB records of breaches of COVID-19 regulations? Further, why did police-recorded ASB find much larger early-pandemic increases than the Telephone Crime Survey for England and Wales? This study uses two approaches to address the issues. The first is a survey of police forces, via Freedom of Information requests, to determine whether COVID-regulation breaches were recorded as ASB. The second is natural language processing (NLP) used to interrogate the text details of police ASB records. We find police recording practice varied greatly between areas. We conclude that the early-pandemic increases in recorded ASB were primarily due to breaches of COVID regulations but around half of these also involved traditional forms of ASB. We also suggest that the study offers proof of concept that NLP may have significant general potential to exploit untapped police text records in ways that inform policing and crime policy.
PCycDB: a comprehensive and accurate database for fast analysis of phosphorus cycling genes
Authors: Zeng Jiaxiong , Tu Qichao , Yu Xiaoli , Qian Lu , Wang Cheng , Shu Longfei , Liu Fei , Liu Shengwei , Huang Zhijian , He Jianguo , Yan Qingyun , He Zhili 
Published: July 2022

Abstract
Background
Phosphorus (P) is one of the most essential macronutrients on the planet, and microorganisms (including bacteria and archaea) play a key role in P cycling in all living things and ecosystems. However, our comprehensive understanding of key P cycling genes (PCGs) and microorganisms (PCMs) as well as their ecological functions remains elusive even with the rapid advancement of metagenome sequencing technologies. One of major challenges is a lack of a comprehensive and accurately annotated P cycling functional gene database.

Results
In this study, we constructed a well-curated P cycling database (PCycDB) covering 139 gene families and 10 P metabolic processes, including several previously ignored PCGs such as pafA encoding phosphate-insensitive phosphatase, ptxABCD (phosphite-related genes), and novel aepXVWPS genes for 2-aminoethylphosphonate transporters. We achieved an annotation accuracy, positive predictive value (PPV), sensitivity, specificity, and negative predictive value (NPV) of 99.8%, 96.1%, 99.9%, 99.8%, and 99.9%, respectively, for simulated gene datasets. Compared to other orthology databases, PCycDB is more accurate, more comprehensive, and faster to profile the PCGs. We used PCycDB to analyze P cycling microbial communities from representative natural and engineered environments and showed that PCycDB could apply to different environments.

Conclusions
We demonstrate that PCycDB is a powerful tool for advancing our understanding of microbially driven P cycling in the environment with high coverage, high accuracy, and rapid analysis of metagenome sequencing data. The PCycDB is available at https://github.com/ZengJiaxiong/Phosphorus-cycling-database.