bluuebunny/crossref_metadata_2025_split huggingface dataset:
p97 inhibited integrative stress response-induced neuronal apoptosis by enhancing proteasome function after subarachnoid hemorrhage
Authors: Cheng Wenping , Wei Boyang , Liu Wenchao , Jin Lei , Guo Shenquan , Ding Mingxiang , Liu Yanchao , Fan Haiyan , Li Ran , Zhang Xin , He Xuying , Li Xifeng , Duan Chuanzhi 
Published: August 2023

Abstract
Neuronal apoptosis is a common pathological change in early brain injury after subarachnoid hemorrhage (SAH) and is closely associated with neurological deficits. Some research has shown that p97 exhibits a significant anti-cardiomyocyte apoptosis effect. p97 is a key molecule in the growth and development of the nervous system. However, it remains unknown whether p97 can exert an anti-neuronal apoptosis role in SAH disease. We found that p97 was significantly down-regulated in the cerebral cortex of the affected side in mice after SAH. The site of reduced p97 expression was accompanied by a large number of neuronal apoptosis. Adeno-associated virus-mediated over-expression of VCP significantly reduced the number of neuronal apoptosis, improved the early and long-term neurological function, and repaired the neuronal damage in the long term. These neuroprotective effects were accompanied by enhanced proteasome function and inhibition of the integrated stress response (ISR) apoptotic pathway involving eIF2α/CHOP. Administration of the p97 inhibitor NMS-873 resulted in the contrary effect. Subsequently, we observed that inhibiting the function of the proteasome with PS-341 blocked the anti-neuronal apoptosis effect of p97 and enhanced the activation of the ISR apoptotic pathway. However, the detrimental effects of NMS-873 and PS-341 in mice with SAH were counteracted by the administration of the ISR inhibitor ISRIB. These results suggest that p97 can promote neuronal survival and improve neurological function in mice after SAH. The anti-neuronal apoptosis effect of p97 is achieved by promoting the function of the proteasome and further inhibiting the overactivation of the ISR apoptotic pathway.
Transformer-based Information Extraction from Twitter Text on Complaint Monitoring System
Authors: Purwitasari Diana , Fatichah Chastine , Ariyanto Amelia Devi Putri , Anggraeni Sherly Rosa , Aryani Aulia Eka Putri 
Published: August 2023

Abstract

Customer complaints receive more attention from a company because bad handling of complaints will cause the loss of existing customers. Current customers tend to use social media to report complaints by including information on the location of the complaint so that the location also needs to be extracted because it can be authentic geographic evidence in the complaint monitoring system. The number of complaint reports via social media is increasing occasionally, making the manual complaint monitoring system very inefficient because it takes a long time. This study proposes an automatic complaint monitoring system on Indonesian text from Twitter by extracting transformer-based information. The automatic complaint monitoring system uses a combination of the Bidirectional Encoder Representation from Transformer (BERT) model to extract location information on complaint tweets and the Convolutional Neural Network (CNN) model to classify the complaint type, which gets the highest F1 score of 0.90471. The complaint monitoring system is also visualized in the complaint locations to make it easier for companies to find the location of complaint reports, and action can be taken to deal with public complaints immediately.
Evaluation of the effects of Cinobufagin on G361 Melanoma Cell Cultures and a comparison with paclitaxel.
Authors: Gurel Gulhan , Karadağ Müjgan Ercan , Celik Sefa , Cinar Rumeysa , Sen Serkan 
Published: August 2023

Abstract

The melanoma pathophysiology is considerably complex. Wnt signaling via the β-catenin/transcription factor 7-like 2 (TCF4)/Lymphoid enhancer-binding factor 1 (LEF1) complex, the microphthalmia-associated transcription factor (MITF), tyrosinase-related protein-2 (TRP-2), tyrosinase (Tyr) and cyclin-dependent kinase 2 (Cdk2) are reported to activate the transcriptional gene expression associated with pigmentation and the differentiation and proliferation of melanocytes and malignant melanoma cells. Cinobufagin is a leading active ingredient in Traditional Chinese Medicine, and has been approved in China as a chemotherapeutic agent for the treatment of liver and prostate cancer. The primary aim of the present study is to evaluate the effects of cinobufagin and paclitaxel on melanoma cells, both individually and in combination, in the G361 melanoma cell line. Within the scope of the study, IC50 doses were determined based on an MTT analysis, Caspase-3 measurements were analyzed using the ELISA method and mRNA expression levels were analyzed using the RT PCR method. Cinobufagin used in combination with paclitaxel was found to increase Caspase-3 levels more than when cinobufagin was used alone, and it was further determined that cinobufagin treatment decreased the expression levels of the β-catenin, C-myc and Cyclin D1 genes, while paclitaxel and cinobufagin used in combination were found to increase all mRNA expression levels (Bax, Caspase-3, Bcl2, β-catenin, C-myc, Wnt and Cyclin D1). Cinobufagin can be considered a promising natural pharmaceutical agent for the targeted treatment of cancers with high levels of LEF1.
Trainee versus supervisor viewpoints of entrustment: using artificial intelligence language models to detect thematic differences and potential biases
Authors: Gin Brian C. , Cate Olle ten , O'Sullivan Patricia S. , Boscardin Christy K. 
Published: August 2023

Abstract
The entrustment framework redirects assessment from considering only trainees’ competence to decision-making about their readiness to perform clinical tasks independently. Since trainees’ and supervisors’ viewpoints both contribute to entrustment decisions, we examined how they may differentially prioritize factors that determine trust, and how biases may influence this process. Under a social constructivist paradigm, we developed large language model (LLM) based approach to examine feedback dialogs (N = 24187, each with an associated entrustment rating) between student trainees and their precepting supervisors. Using LLM-assisted factor analysis, we compared how trainees and supervisors documented similar types of clinical tasks by identifying factors correlated with entrustment ratings. Supervisors’ factors were dominated by skills related to patient presentations, while trainees’ factors captured a wider range of themes, including both clinical performance and personal qualities. To examine bias, we developed a gender-neutral LLM to measure sentiment in feedback narratives. On average, trainees used more negative language (5.3% lower probability of positive sentiment, p < 0.05) compared to supervisors, while assigning themselves a higher entrustment rating (+ 0.08 on a 1–4 scale, p < 0.05). Trainees’ documentation reflected more positive sentiment in the case of male trainees (+ 1.3%, p < 0.05) and of trainees underrepresented in medicine (+ 1.3%, p < 0.05). Importantly, entrustment ratings themselves did not appear to reflect these biases, neither when documented by the trainee nor supervisor. As such, bias appeared to affect trainee self-perceptions more than the degree of entrustment they experienced. Mitigating these biases is nonetheless important because they may affect trainees’ assimilation into their roles and formation of trusting relationships.
Method for Multi-Task Learning Fusion Network Traffic Classification to Address Small Sample Labels
Authors: LIU LAN , YU YONGJIE , WU YAFENG , HUI ZHANFA , LIN JUN , HU JUNHAN 
Published: August 2023

Abstract
With the diversified development of network business types and the rapid growth of network resource deployment scale, Traffic classification technology plays a crucial role in efficiently allocating network resources and effectively safeguarding network security. Traffic classification methods based on deep learning often demand a substantial labeled dataset to showcase exceptional performance. Nevertheless, Acquiring and annotating a large dataset involves significant investments in terms of time and human resources. Additionally, the constant innovation of internet technology accelerates the change of the network environment, making the painstakingly collected samples face the risk of becoming outdated. To tackle the aforementioned challenges, This research presents an approach called MTEFU, a deep learning model-based multi-task learning algorithm, to reduce the dependency on a substantial number of labeled training samples. In this algorithm, Multiple classification tasks were established, including duration length, bandwidth size, and business traffic category. The first two serve as source tasks, which do not require manually labeled sample training. The latter acts as a target task, requiring only a small label set. This strategy shares some parameters directly between tasks. The first few layers, which contain general information, are shared among multiple task networks, and different final layers are learned to handle different outputs. We use CNN, SAE, GRU, LSTM as multi-task learning classification models to conduct training verification and testing experiments on the QUIC dataset.We compared single-task learning methods and ensemble learning methods with our multi-task learning, and the results show that in the task of predicting network traffic types, the accuracy of the multi-task learning strategy with only 150 labeled samples can rival the 94.67\% accuracy of single-task learning using a complete labeled dataset of 6139 samples.
TNF-α-Activated Adipose–Derived Stem Cells Producing IL-8 Through the TNF-α/NF-κB Signaling Pathway to Improve the Quality of Full-Thickness Skin Grafts
Authors: Gao Hong , Wu Dan , Luo Wenrong , Jie Xiang , Hu Zheyuan , Xiong Jiachao , Wu Minjuan , Zhu Xiaohai , Zhu Lie 
Published: August 2023

Abstract
Skin grafting has the disadvantages of high contracture rate and poor texture. Adipose-derived stem cells (ADSCs) therapy is a promising “therapeutic angiogenesis” approach; however, safety and low treatment efficiency of direct injection into defects have limited its use. Herein, we first used TNF-α to activate ADSCs, and then used TNF-α-activated ADSCs (t-ADSCs) to promote angiogenesis in donor skin. Finally, the use of pretreated donor skin for grafting can reduce the contracture rate and improve skin texture. In vitro, cell proliferation, migration, and pro-angiogenic abilities were tested to measure the cell function of t-ADSCs. The signaling pathway and paracrine cytokine related to the pro-angiogenic effect of t-ADSCs were screened out and validated. In vivo, t-ADSCs were first injected intradermally into the donor skin of full-thickness skin grafts (FTSGs). Next, the level of angiogenesis in donor skin was evaluated. Finally, the pretreated donor skin was used for grafting. We found that TNF-α may activate ADSCs through the TNF-α/NF-κB pathway and enhance the paracrine ability of the angiogenic factor interleukin-8 (IL-8), ultimately promoting the angiogenesis of the donor skin. The use of vasculature-rich donor skin for grafting could accelerate skin graft anastomosis; shorten the nutrient deprivation time of the epidermis, dermis and hair follicles; and thereby improve the quality of FTSGs. This study demonstrated a possible mechanism through which TNF-α acts on ADSCs to improve their angiogenic capacity and provide a novel approach for the repair of skin and soft tissue wounds.
Species Composition &amp; Diversity Assessment of Mangroves over Indian Sundarbans
Authors: Chatterjee Sweta , Bhandari Gupinath 
Published: August 2023

Abstract
The study on species composition and diversity measurement has been conducted at the Kaikhali Village under Kultali District, Indian Sundarbans using random sampling technique to get the proper zones for suitable quadrat survey. Field survey has been run during monsoon season and primary data on species composition and diversity components has been incorporated. The primary objective of this study is to comprehend the species composition of true mangroves over Indian Sundarbans and secondary objective is to assess the species diversity profile of the study area. 11 types of true mangroves and 3 types of mangrove associates have been found and taxonomically enumerated during the field survey. For this study, Species Diversity Indices and Diversity Profiles are also measured to get the valid viewpoint regarding the species diversity as well as species richness. Species Distribution within the study area has also been studied through quadrat individual analysis. The results shows up that in spite of micro region under Indian Sundarbans, several mangrove species and their abundance are there and diversity of this region is quite high. However, monotypic species especially Bain (Peyara Bain, Jat Bain & Kalo Bain) species are quite rich and diversified in this region.
Tracing Global Progress: Two Decades of Age-Related Macular Degeneration Research
Authors: Yuan Liyun , Li Liangpin , Hua Xia , Yuan Xiaoyong 
Published: August 2023

Abstract
Objectives. To explore age-related macular degeneration (AMD)-related research hotspots and trends from 2002 to 2022 using bibliometric analysis.
Methodology. Articles on AMD published between 2002 and 2022 were collected from the Web of Science Core Collection (WoSCC). Bibliometric analysis was used to describe basic article information. Annual publication volume was analyzed using Excel 2019 software. VOSviewer 1.6.18, CiteSpace 6.1.R3, and BiblioShiny were used to extract information on countries, institutions, authors, and keywords. The information was then mapped to analyze the distribution of key research forces and collaborative relationships in the field, providing insight into the evolution of AMD research in the last two decades and its current frontiers.
Results. Altogether, there were 15,452 articles on AMD research published from 2002 to 2022. The number of publications increased every year. The United States and China were the main drivers of AMD research, accounting for over 48% of all publications in the field. The University of Melbourne had the highest number of publications and the highest degree of collaboration with other institutions. Tien Y Wong was the author with the most published articles, and Frank G Holz had the highest impact. Investigative Ophthalmology and Visual Sciences was the most productive and highly cited journal. The keyword co-citation cluster analysis identified four main research areas: pathogenesis, therapy, epidemiology, and diagnosis. The keywords aflibercept, neovascular age-related macular degeneration, coherence tomography angiography, and deep learning have seen recent strong citation bursts and may become research hotspots in the future.
Conclusions. Twenty years of AMD research were analyzed in this study, revealing four main areas of focus: pathogenesis, therapy, epidemiology, and diagnosis. Potential future research hotspots include aflibercept, neovascular age-related macular degeneration, coherence tomography angiography, and deep learning.
Improved outcome and reduced toxicities of postmastectomy radiotherapy with integral cervicothoracic thermoplastic mask
Authors: Zhang Hongyan , Wu Qiuji , Li Li , Wang Linwei , Zhong Yahua 
Published: August 2023

Abstract
Background
Appropriate immobilization setup for postmastectomy radiotherapy is critical to improve tumor control and to reduce radiation-related toxicities. This study aims at retrospectively evaluate the outcome and toxicities of postmastectomy radiotherapy (PMRT) with a novel integral cervicothoracic thermoplastic mask strategy.
Materials and methods
Breast cancer patients were treated with modified radical mastectomy and PMRT. Patient immobilization setup was performed with the placement of a 1-cm thickened wax film on the ipsilateral chest wall and an integral cervicothoracic thermoplastic mask. PMRT was delivered according to the institutional protocol. Dose distribution, disease control, patient survival and radiation-induced toxicities were evaluated.
Results
420 eligible patients with complete follow-up information were included in the final analysis. The median follow-up was 40.2 (95%CI: 38.9–41.6) months. Two (0.5%) patients had local recurrence and 48 (11.4%) patients had distant metastasis. There were 23 (5.3%) deaths from all causes, of which 19 were caused by breast cancer. The 3-year overall survival (OS) rate was 94.8%. ER status, PR status, triple negative status, and T stages significantly impacted on patient survival (p < 0.05). HER2 expression, N stage did not significantly affect patient survival. Most common radiation-induced toxicities included grade I (87.6%) and grade II (10.2%) dermatitis, and grade I pneumonitis (28.8%) found by chest X-ray or CT scans. No clinical detectable cardiovascular event related to radiotherapy was identified.
Conclusion
Postmastectomy radiotherapy with integral cervicothoracic thermoplastic mask resulted in improved outcome and reduced toxicities and might be of clinical significance in breast cancer patient.
Grassroots democracy: the impact of asking learners what they want to know on attendance and learning
Authors: Segon Ankur , Sharma-Segon Yogita 
Published: August 2023

Abstract

Background: The General Internal Medicine Acting Internship (GIM AI) at our school is a compulsory, month long experience. Core teaching sessions are conducted on a weekly basis as part of the acting internship and were poorly attended.
Objective: We sought to redesign our academic half day didactic curriculum and increase voluntary student attendance by allowing students to actively participate in determining the content of the acting internship academic half day.
Intervention: Prior to the beginning of the acting internship, students were sent an email survey listing seven inpatient topics to rank on a scale of 1 to 5 (1=not at all interested, 5=very interested). Based upon student feedback, one additional topic was added: antibiotic use for common inpatient diagnoses. A total of 32 sessions were conducted over 8 months. Student attendance at these sessions was voluntary. Dates were randomized between "case-based sessions" (control) and "topic-based sessions". Topics that received the highest score were selected for topic-based sessions.
Main measures: Student attendance at topic-based sessions versus case-based sessions
Key results: Case based discussions had the lowest preference ranking (N 94, mean 2.9), while cross cover-based discussions (N 94, mean 4.3, p 0.001) and antibiotic use (N 52, mean 4.3, p 0.001) received the highest scores. 34% of possible learners attended case-based discussions, while 78% of possible learners attended topic-based sessions (p<0.001). Learners reported a statistically significant improvement in comfort level with recognizing or managing 74% of the sub-topics discussed (31 out of 42)
Conclusions: A learner centered approach to curriculum design led to robust student engagement in our acting internship academic half day. Fourth year students prefer specific topic-based teaching sessions over case based, morning report style sessions. Learner preferences around content areas that were generated at our school can inform similar efforts at other institutions.
Enhancing the health supply chain for non-communicable diseases management in Rwanda: A qualitative exploration of the perceptions from policy implementers.
Authors: Ndekezi Ignace , Nyirimigabo Eric , Sibomana Olivier , Ndayisenga Jerome 
Published: August 2023

Abstract

Background
Efficient health supply chain management contributes significantly to the accessibility of medicines. Low and Middle-Income Countries (LMICs) face challenges in maintaining an uninterrupted health supply chain of health products including non-communicable diseases (NCDs) medicines and nutrition products where stock-outs and shortages are evident. This study aimed to gather perspectives of policy implementers on the supply chain of NCDs medicines and nutrition products in Rwanda.
Methodology
An observational cross-sectional study collecting qualitative data was structured. Purposive sampling was used to recruit 51 individuals involved in the supply chain of NCDs medicines at different levels including central institutions, peripheral level, and hospital level. All interviews were in English and after transcribing the recorded information, a thematic analysis was employed for the emerging theme.
Results
Policy implementers at the central level identified key challenges in the management of NCDs medicines, such as supplier delays, poor data quality from health facilities, and difficulties in handling unexpected donations. At RMS Ltd branches and district pharmacists, challenges included limited storage space for nutrition products, transportation issues, inconsistent availability of products, unforeseen additional costs, and data quality concerns. The healthcare professionals (HCP) addresses these challenges through effective stakeholders communication, available resource management, early planning, selecting reliable suppliers, increasing sponsorship, supervision and capacity building of the staff at health facilities.
Conclusion
The management of NCD drugs and nutrition products in Rwanda's health supply chain faces challenges related to medicine stock-outs, budget constraints, and inadequate inventory data recorded by health facilities, hindering informed decision-making. Policy implementers showcased various approaches to mitigate these challenges. However, investment in the quality of inventory data is crucial, as it can inform a risk-based inventory approach and foster the optimal utilization of available funds.
Perspectives on lived experience leadership; values, qualities and skills for effective leaders of systems change: participatory action research
Authors: Loughhead Mark , Hodges Ellie , McIntyre Heather , Procter Nicholas , Barbara Anne , Bickley Brooke , Huber Lisa , Martinez Lee , Albrecht Leticia 
Published: August 2023

Abstract

Background:
The aim of this study was to identify and explore the values, qualities and skills that constitute mental health lived experience leadership, from the perspectives of emerging and accomplished lived experience leaders and allies.
Methods:
As a part of a larger lived experience led participatory action research project, multiple qualitative methods were used. These included focus group discussions and an online forum with 31 diverse lived experience leader participants, and a separate online qualitative survey, which was completed by 48 respondents from various urban, regional and rural settings. Participants included consumer and carer leaders. All data was collected in 2020, coded and thematically analysed.
Results:
The analysis of data showed the complexity of activity and accompanying values, qualities and skills that are perceived to be important features of lived experience leadership.
These features are described via six themes: 1) stands up and speaks out, 2) lived experience lens and positioning, 3) champions justice, 4) creates and nurtures safe and connected spaces, 5) leads and inspires change, and 6) being strategic in mobilising.
Conclusion:
This study extends understandings of lived experience leadership by emphasising its importance in guiding the development of the peer workforce, systems advocacy and community-based mental health initiatives. Defining the key elements of lived experience leadership contributes to training and reflective learning for emerging leaders and creating shared understanding and recognition for other service and sector leaders across the broader mental health ecosystem.