bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing Primary Productivity in Temperate Benthic Communities Using a novel in-situ Methodology - BIC
Authors: Reis Bianca , Franco João N. , Peiffer Friederike , Babé-Gómez Oscar , Sainz-Meyer Hugo , Sousa-Pinto Isabel , Arenas Francisco 
Published: January 2024

Abstract

Understanding climate change impacts on benthic habitats is crucial to acknowledge their actual ecosystem functioning value. One pertinent way to achieve this is by measuring primary productivity. Accurately quantifying primary productivity in turbulent subtidal, rocky habitats, particularly those with high canopy forming seaweeds, such as kelp, is inherently challenging, leading to a scarcity of information. Kelp primary productivity has primarily been assessed through 1) quantification of carbon standing stock and biomass, which provides limited values of net primary production; 2) ex-situ incubations in the laboratory, in which the obtained values do not accurately represent the real production of a community; and 3) in-situ incubations on individual kelp fronds, neglecting community effects on the production. To address this issue, we describe a novel methodology – the Benthic Incubation Chamber (BIC) - designed to assess in-situ primary productivity of different benthic communities (high and low canopy). The method involves incubation chambers where total oxygen flux, temperature, and photo-synthetically active radiation (PAR) are simultaneously recorded. From those measurements, net community production (NCP) and community respiration (CR) for a given biomass and water volume were derived for the sampled area of each chamber. Results from Portuguese continental coast showed differences in NCP rates among different benthic communities and demonstrated the feasibility of this technique to obtain reliable in-situ net primary productivity values in a variety of subtidal habitats. This method contributes to a comprehensive approach to sustain and protect vital marine ecosystems, supporting biodiversity and addressing environmental issues like climate change.
Identification of DNAJC24 as a potential therapeutic target in breast cancer
Authors: Meng Wenjing , Liu Wei , Wang Xiaorui , Zhan Linlin , He Yuchao , Luo Yi , Chen Liwei , Wang Yu , Li Guangtao , Shi Yehui , Tong Zhongsheng , Guo Hua 
Published: January 2024

Abstract
Background and Purpose
On the basis of current markers, a variety of targeted therapies have been proposed for clinical practice, but treatment resistance and recurrence remain the leading causes of breast cancer-related mortality. In addition, breast cancer exhibits significant heterogeneity, and patients with apparently similar tumor subtypes exhibit variable responses to identical drug treatments. Therefore, accurate prediction of breast cancer progression and personalized treatment plans will maximize patient benefit by avoiding overtreatment and undertreatment.
Approach and Key Results
In this study, we focused on investigating the role of DnaJ heat shock protein family member C24 (DNAJC24) in breast cancer through bioinformatic analysis by using public databases and clinicopathological samples. In addition, we performed in vitro functional assays to explore the biological functions of DNAJC24. In vitro experiments showed that the overexpression of DNAJC24 significantly inhibited the proliferation and invasion of breast cancer cells. Meanwhile, the downregulation of DNAJC24 enhanced cell proliferation, invasion, and migration. The findings provide a theoretical basis for the identification of a novel molecular therapeutic target for breast cancer.
Conclusion and Implications
Our research revealed that DNAJC24 was weakly expressed in breast cancer tissues, suggesting its involvement in breast carcinogenesis. Furthermore, we observed an inverse correlation between DNAJC24 expression and malignant progression of breast cancer including clinical stage among different pathological subtypes and molecular staging of breast cancer. Therefore, given the significant association between low levels of DNAJC24 expression and poor prognosis in patients with breast cancer, DNAJC24 may serve as a predictive marker.
A Multi-label Sewer Defects Classification Methodology Using Attention-based Dual Branch network
Authors: Li Xinxin , You Rui , Yu Mingxin , Sun Ting , Lu Wenshuai , Yu Shijie 
Published: January 2024

Abstract
The sewage system, essential for human welfare and ecological health, requires regular inspections to prevent defects such as cracks, deformation, joint displacement, etc. Traditionally, inspections have relied on Closed-Circuit TeleVision (CCTV), involving two stages: on-site video collection and time-consuming off-site video analysis. In this study, we propose a novel attention-based dual branch model for efficiently classifying multiple sewer pipe defects. It employs spatial and semantic relation graphs that have complementary relationship. Specifically, we first generate word embeddings from embedding layer using our defects corpus, then, we use the word embeddings as input data for the dual branch. For the first branch, we capture relationship between word embeddings and image feature maps, while for the second branch, we exploit co-occurrence dependencies of defect classifiers from correlation matrix of defects. The model was validated on Sewer-ML dataset which consists of 1.3 million multi-label sewer images and 17 specific defects classes. Compared with the state-of-the-art methods in related field, our model achieved a defect weighted F2 score of 83.71% and a normal pipe F1 score of 86.59%, showing its superior capability on the latest benchmark methods. The code was available at http://www.github.com/iamstarlee/Attention-based-Dual-Branch-Network.
Predictive Modeling of Dining Facility Waste by Material Type Across Time and Geography
Authors: Rice Abigail , Urban Angela , Davidson Paul 
Published: January 2024

Abstract

Solid waste generation is increasing at alarming rates, globally, with widespread challenges to decreasing generation and landfill disposal. U.S. Army installations are a unique basis for providing qualitative and quantitative data from a breadth of geographical locations. Modeling prediction capability of dining facility (DFAC) solid waste streams using data from 11 Army installations was investigated to demonstrate aggregate building and material type generation forecasting. Solid waste generation data was collected by quantifying potentially divertible materials (e.g., source reduction, reuse, recycling, composting, etc.) that are currently being landfilled. Over one week, samples from one day of DFAC operations were obtained for each installation. Materials were separated into 22 categories, weighed, and recorded. Results identified many materials with diversion potential in the solid waste stream. Five material types were down selected for model construction and validation based on robustness of data available and applicability outside military contexts. Models were constructed for each material type combination to avoid multiplication factor errors of coefficients for each independent variable. Results showed statistical significance (p-value ≤ 0.05) for 4 of 5 modeling combination predictions, indicating that these 4 models for each material type are uniquely capable of predicting solid waste generation. Each of the 4 statistically significant models differed in adjusted R-squared values, ranging from 0.988 to 0.996. This study provides models with predictive power that could reduce the labor- and cost-intensive process of characterizing waste streams while increasing data availability across the continental U.S. to focus targeted source reduction efforts for dining settings.
CLASSIFICATION CODE
MSC: 62, 92
JEL: I28, Q01, Q20, Q28, Q53
Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach
Authors: Zhang Yuanheng , Jiang Nan , Xie Zhaoheng , Cao Junying , Teng Yueyang 
Published: January 2024

Abstract
Objective: Accurately annotated ultrasonic images are vital components of a high-quality medical report. Hospitals often have strict guidelines on the types of annotations that should appear on imaging results. However, manually inspecting these images can be a cumbersome task. While a neural network could potentially automate the process, training such a model typically requires a dataset of paired input and target images, which in turn involves significant human labour.
Methods and procedures: This study introduces an automated approach for detecting annotations in images. This is achieved by treating the annotations as noise, creating a self-supervised pretext task and using a model trained under the Noise2Noise scheme to restore the image to a clean state. We tested a variety of model structures on the denoising task against different types of annotation, including body marker annotation, radial line annotation, etc.
Results: Our results demonstrate that most models trained under the Noise2Noise scheme outperformed their counterparts trained with noisy-clean data pairs. The costumed U-Net yielded the most optimal outcome on the body marker annotation dataset, with high scores on segmentation precision and reconstruction similarity. We released our code at https://github.com/GrandArth/UltrasonicImage-N2N-Approach.
Toxoplasma WH3 Δrop18: A live attenuated vaccine against acute and chronic toxoplasmosis
Authors: Yu Li , Wang Cong , Fu Shengnan , Yu Xin , Zhou Hang , Zhang Famin , Song Lingling , Zhao Ji , Yang Yun , Du Jianbing , Luo Qingli , Shen Jilong 
Published: January 2024

Abstract

Toxoplasma gondii (T. gondii) is a zoonotic pathogen that can cause toxoplasmosis in humans and animals, which poses a significant health and socio-economic burden on society. It has been known that vaccines could provide an effective and long-term strategy to control the disease while reducing reliance and the side effects of chemical therapeutics, but there is no perfect vaccine available for toxoplasmosis. To develop a safe, effective and long-lasting vaccine against T. gondii infection remains essential for the control of the disease. Our recent findings indicated that the virulence of the mutant strain WH3 Δrop18 to mice was significantly reduced and no cysts were formed in the brain, indicating that WH3 Δrop18 might serve as the vaccine candidate. Here we assessed the immunoprotective efficacy of WH3 Δrop18 parasite as a live attenuated vaccine. The results showed that one hundred percent of mice vaccinated with WH3 Δrop18 survived when challenged with either virulent RH strain of type I and WH3 strain of type Chinese 1 or cyst-forming ME49 strain of type Ⅱ and WH6 strain of type Chinese 1 and in quite a few mice, no cysts were detectable in the brain tissues. Vaccination with the WH3 Δrop18 triggered a strong immune response, including significantly increased level of the pro-inflammatory cytokines IFN-γ, IL-12 and TNF-α, the anti-inflammatory cytokine IL-10 and the activation of CD4+ and CD8+ T-lymphocytes. In addition, Toxoplasma-specific total IgG antibodies and subclasses of IgG1 and IgG2a remained at high levels for 30 days and even 125 days post vaccination. Passive transfer of naive mice with sera from vaccinated mice conveyed the resistance of naive mice to T. gondii. Our results strongly indicate that vaccine of WH3 Δrop18 provide effective cellular and humoral immune protection against a wide range strains of Toxoplasma infections and it might be a promising live attenuated vaccine candidate.
Impact of Waste Marble Powder and Recycled Coarse Aggregate on the Mechanical and Microstructural Properties of Rubberized Concrete
Authors: Akbar Muhammad , Abbas Nadeem , Hussain Zahoor , Ali Azhar , Shahzad Qamar 
Published: January 2024

Abstract

This research aims to develop a sustainable concrete matrix using recycled waste materials, including marble powder, recycled coarse aggregate, and crumb rubber from tire waste. The aim is to reduce CO2 emissions associated with the cement and industrial materials waste, which currently contributes 8–10% to the global emissions. The study focuses on creating a concrete matrix with comparable properties to standard mixes. The mechanical properties and microstructural analysis of the newly designed concrete mix, such as compressive strength, split tensile strength, flexural strength and scanning electron microscopy (SEM) were evaluated. The results showed improvements in compressive strength by 5%, split tensile strength by 4%, and flexural strength by 5%. Besides, a statistical two-way analysis of variance (ANOVA) with a threshold of less than 0.001 was used, and the residual error was found to be low, both in terms of lack of fit and pure error. By incorporating crumb rubber, marble powder, and recycled coarse aggregate as cement ingredients, the mechanical properties of concrete and the environmental impact of industrial waste can be significantly improved. This research proposes a novel model to assess the sustainable performance of the newly developed concrete matrix. The findings demonstrate that a sustainable concrete matrix positively impacts sustainable performance. Incorporating marble powder, recycled coarse aggregate, and crumb rubber was beneficial in terms of mechanical strengths and microstructure. Overall, this research contributes to the goal of reducing CO2 emissions in the cement industry and provides practical recommendations for incorporating sustainable materials in construction practices.
Symptom experiences of cancer-related cognitive impairment in women with ovarian cancer
Authors: Wang liying , Ding Yan , Zhang Yi , Xue Mei , lu zhenqi , zhang xiaoju 
Published: January 2024

Abstract
Background
Ovarian cancer is one of the most common cancers and the leading death cause among women. This article aims to explore ovarian cancer survivors’ symptom experience of cancer-related cognitive impairment (CRCI).
Methods
Semi-structured interviews were conducted with eligible ovarian cancer patients in Cancer Center of Fudan University, Shanghai, China. This study was guided by symptom management theory. Qualitative content analysis and thematic framework analysis were used to refine themes.
Results
The average age of participants (n = 31) was 51.38 years (range 25–65 years)and median time since diagnosis was one year range 0.35–14.2 years). Six themes were identified from the research: Experiencing subtle memory, concentration and language problems. Denying or having no chance of noticing the cognition change impacting their life. “The Comfort” blunting symptom perception, response and causing the brain to "retire”. Couldn’t figure out which was the cause and which was the effect among those symptoms. Surgical anaesthesia and chemotherapy were blamed for the change. Try not burden brain, actively or passively let themself "slow down" or "offload" things. Personalized and repeated "note", "check" and "confirm" measures to prevent mistakes.
Conclusions
The majority of ovarian cancer patients experienced symptoms of CRCI, highlighted by memory and attention problems, however most patients stated that cognitive symptoms didn’t affect their lives. Sociocultural and cancer copying style played an important role in the CRCI symptom experience.
Survival after right ventricular diverticulum caused by right ventricular rupture: Case report and brief review of the literature
Authors: Yu Hao , Ding Baolong , Ji Linlin , Zhai Chunbo 
Published: January 2024

Abstract

Background
Ventricular diverticulum can be divided into congenital and acquired diverticulum. Cardiac rupture is a rare occurrence of cardiac injury, but the mortality rate is very high. Part of cardiac rupture may form an acquired ventricular diverticulum. Here, we present a case of a 57-year-old man presenting with right ventricular diverticulum caused by traumatic ventricle rupture.
Case presentation:
A 57-year-old man was admitted with chest pain and dyspnea after falling from a high place. The patient's condition gradually stabilized after emergency surgery and rescue treatment measures. One week later, the patient suddenly presented with swelling of the right upper limb. Right upper extremity venous thrombosis was detected by vascular color ultrasound. Further pulmonary artery computed tomography angiography (CTA) examination revealed an upper right pulmonary artery embolism and a diverticulum in the right ventricular wall; however, no obvious diverticulum or pericardial effusion was found by echocardiography. After a thorough discussion with the cardiac surgeon, it was decided that anticoagulant therapy should be given under close monitoring. After ten days, pulmonary CTA showed that the pulmonary thrombus had disappeared, but the right ventricular diverticulum was more prominent than before, so anticoagulant therapy was stopped, but hemostatic drugs were not given. Finally, the right ventricular diverticulum gradually shrinks and heals.
Conclusions
Although certain imaging features exist, the missed diagnosis of occult cardiac diverticulum cannot be ignored. We learned from this case that the diagnostic value of cardiac CTA or pulmonary artery CTA for occult heart injury might be superior to that of cardiac ultrasound.
Assessing the Clinical and cost-Effectiveness of inpatient mental health Rehabilitation services provided by the NHS and independent sector (ACER): Protocol
Authors: Killaspy Helen , Dalton-Locke Christian , Clarke Caroline S , Leavey Gerard , Igoumenou Artemis , Arbuthnott Maurice , Barrett Katherine , Omar Rumana 
Published: January 2024

Abstract
Background
Mental health rehabilitation services provide specialist treatment to people with particularly severe and complex problems. In 2018, the Care Quality Commission reported that over half the 4400 mental health inpatient rehabilitation beds in England were provided by the independent sector. They raised concerns that the length of stay and cost of independent sector care was double that of the NHS and that their services tended to be provided much further from people's homes. However, there has been no research comparing the two sectors and we therefore do not know if these concerns are justified. The ACER Study (Assessing the Clinical and cost-Effectiveness of inpatient mental health Rehabilitation services provided by the NHS and independent sector) is a national programme of research in England, funded from 2021 to 2026, that aims to investigate differences in inpatient mental health rehabilitation provided by the NHS and independent sector in terms of: patient characteristics; service quality; patient, carer and staff experiences; clinical and cost effectiveness.
Methods
ACER comprises a:1) detailed survey of NHS and independent sector inpatient mental health rehabilitation services across England; 2) qualitative investigation of patient, family, staff and commissioners' experiences of the two sectors; 3) cohort study comparing clinical outcomes in the two sectors over 18 months; 4) comprehensive national comparison of inpatient service use in the two sectors, using instrumental variable analysis of routinely collected healthcare data over 18 months; 5) health economic evaluation of the relative cost-effectiveness of the two sectors. In Components 3 and 4, our primary outcome is 'successful rehabilitation' defined as a) being discharged from the inpatient rehabilitation unit without readmission and b) inpatient service use over the 18 months.
Discussion
The ACER study will deliver the first empirical comparison of the clinical and cost-effectiveness of NHS and independent sector inpatient mental health rehabilitation services.
Trial registration
ISRCTN17381762 retrospectively registered.
The Impact of Hyperinsulinemia on Short-term Prognosis in Patients with Hyperlipidemia-induced Acute Pancreatitis
Authors: Wang Mengjun , Luo Ruilin , Sun Shasha , Zheng Lei , Jiang Wen , Ge Yu , Wei Jinlong , Qian Long , Xu Maoqi 
Published: January 2024

Abstract
Purpose
The short-term prognosis of hyperinsulinemia in patients with hyperlipidemia resulting in acute pancreatitis is remains uncertain.
Material and Methods
This study presents a retrospective analysis of patients who underwent treatment for hyperlipidemic acute pancreatitis at Wuhu Hospital of Traditional Chinese Medicine from January 2020 to April 2023. The patients were categorized into two groups based on their fasting insulin levels: the hyperinsulinemia group (HINS) and the non-hyperinsulinemia group (NHINS). The study aimed to observe and record the outcomes related to metabolic disease, short-term recurrence rate, and quality of life (QOL) score.
Results
In this study, a total of 92 patients with hyperlipidemic pancreatitis were enrolled prior to lipid-lowering therapy, including 59 patients in the HINS group and 33 patients in the NHINS group. Significant differences were observed between the two groups in terms of white blood cell count (WBC), hypersensitive C-reactive protein (CRP) levels, and fasting blood glucose at 2, 3–4, and 5–7 days after initiation of lipid-lowering intervention (P < 0.05). Following admission, anti-inflammatory treatment, lipid-lowering therapy, blood glucose control measures, and other symptomatic interventions were administered. Both groups exhibited a reduction in serum triglyceride levels; however, there was a significant difference in the magnitude of decrease compared to baseline on the fifth to seventh day (P < 0.05). There were statistically significant differences between the two groups in readmission for recurrent pancreatitis within 30 days after ICU transfer and discharge (P < 0.05). There was no statistically significant difference observed between the length of hospital stay or quality of life scores fifteen days after discharge.
Conclusion
The presence of hyperinsulinemia exerts a detrimental impact on the recovery process of patients with hyperlipidemia-induced acute pancreatitis, while the favorable baseline physical condition observed in the NHINS group contributes to a more advantageous recuperation from hyperlipidemic pancreatitis.
Tumor microenvironment variation implicates immune alterations and correlates with prognosis in patients with glioma
Authors: Chen Danlei , He Yi , Feng Zhiyuan , Dong Longsheng , Yang Junfeng 
Published: January 2024

Abstract
To investigate the microenvironment composition of gliomas and the associated clinical significance, we analyzed single-cell RNA sequencing and bulk RNA-seq data from glioma samples. Cell trajectory analysis identified five trajectories with distinct cell states and corresponding trajectory-related genes (TRGs). TRG-based clustering segregated patients with glioma with different overall survival, clinicopathological features, immune infiltration status, and immune checkpoint gene (ICG) expression levels. Notably, a worse prognosis was seen in patients with a higher immune score, lower tumor purity, higher M0 macrophage and regulatory T (Treg) cell infiltration, and increased ICG expression. Further survival analysis and functional enrichment analysis revealed a close relationship between prognosis and ICG-associated immunosuppressive pathways. Candidate prognostic genes were obtained using WGCNA analysis and differential expression analysis. LASSO and multivariate regression analysis were used to establish a prognostic prediction model. The prognostic risk-scoring signature including 12 genes successfully predicted patient survival with acceptable AUC values. A nomogram was constructed to evaluate the contribution of the risk signature to patient prognosis. This study highlights the potential involvement of tumor microenvironment variation and immune alteration in glioma progression and establishes a TRG-based prognostic model to predict patient clinical outcomes.