bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a theory of change to guide the design and implementation of a Caregiver- Centric Support Service
Authors: WU Ling Ting , GLASS George Frederick , CHEW Esther Yin Hui , Ng Emmalene Joo Yong , CHAN Ee Yuee 
Published: September 2023

Abstract
Background: Set against the backdrop of a rapidly ageing population and growing emphasis on the importance of ageing-in-place, family members often assume the role of a caregiver. Navigating through a complex healthcare system while simultaneously juggling the daily care needs of their care-recipients, caregivers often become worn out by the intense caregiver stress and burden, neglecting their own well-being. This translates to adverse health and economic outcomes such as prolonged hospital stays and increased nursing home placement of care-recipients. Seeking to better support caregivers, we developed a theory of change to guide the design and implementation of a caregiver support programme – Project Carer Matters.
Methods: We applied theory of change methodology to explain how the Project’s interventions were hypothesised to lead to their identified short-to-long term goals, drawing on a causal analysis based on available evidence. The theory of change was developed with insights garnered from previous research studies conducted on caregiver stress, stakeholder engagement sessions and multiple dialogues with clinical experts and hospital leaders.
Results: Our final theory of change is the result of the evaluation of the Project in its pilot phase. It is populated with the resources, activities and short-to-long term outcomes that can be attributed or linked to the Project. Multiple meetings and discussion with stakeholders over the pilot prompted frequent practice of the Plan, Do, Study, Act model to refine the ongoing implementation process and the theory of change itself.
Conclusions: A theory of change is essential in guiding the design, implementation and evaluation of a complex health care intervention such as Project Carer Matters. The development of the theory of change is a journey and not a resultant product. This journey has also led us to learn that 1) a theory of change needs to be dynamic and ever evolving with time and context, 2) the perspectives of relevant stakeholders need to be included in this process to ensure the feasibility and sustainability of the project in the long run and 3) frequent stakeholder engagements are essential in enabling the implementation team to fine-tune the Project in an effective manner.
Trial Registration: ClinicalTrials.gov, NCT05205135, registered on 24/01/2022.
The Quality of Acupuncture Recommendations for Migraine in Global Headache Guidelines: A Systematic Review Using the AGREE II and AGREE-REX Instruments
Authors: Cui Shuo , Wang Xiao-Yu , Hu Jing , Chen Zhong-Jjie , Huo Jin , Gao Qi , Liu Lu , Wang Jing-Jing 
Published: September 2023

Abstract
Background and objective: This study aims to identify the quality of acupuncture recommendations for migraine in global headache guidelines. Methods: Global migraine guidelines published before June 2022 were searched and screened. The AGREE II (Appraisal of Guidelines for Research & Evaluation II) and AGREE-REX (The Appraisal of Guidelines Research & Evaluation Recommendation Excellence) were used to evaluate the reporting quality, methodology quality, and acupuncture recommendations in the included guidelines. Results: Of the 16 guidelines included, 14 recommended acupuncture treatment for migraine (8 were rated as B by AGREE II, and 6 were rated as C), while 2 recommended against acupuncture treatment (rated as C). One guideline described detailed manipulations (1/14), two described treatment sessions and courses (2/14), and 11 only indicated that acupuncture was effective but without a specific treatment plan mentioned (11/14). The results of the AGREE-REX showed that all 16 guidelines scored relatively high only in the “Evidence” item (mean score: 57.29%), whereas the scores of the other 8 items were low. Conclusions: Among the current headache guidelines around the world, the number of guidelines recommending acupuncture for migraine treatment is small, the content of recommendations involving acupuncture treatment is limited, and the recommendations for detailed acupuncture treatment programs are insufficient. Within the included guidelines recommending acupuncture for migraine treatment, the report quality, methodology quality, and quality of acupuncture recommendations are low; therefore, it is difficult to meet clinical needs.
Downregulation of SSR2 enhanced the sensitivity of hepatocellular carcinoma cells to cisplatin through Hippo pathway
Authors: Ye Rong , Yin Ling , Ge Yilong , Zhu Xiansen , Xiao Yuansheng , Fang Cuifu , Liu Qingquan , Zhang Honghui , Li Heping , Xie Binhui 
Published: September 2023

Abstract
Background Chemotherapy resistance is an obstacle to promote the survival of patients with hepatocellular carcinoma (HCC). Therefore, it is essential to find out the promising therapeutic targets to enhance the sensitivity of chemotherapy in HCC.Methods qPCR and western blotting assay were used to examine the expression of signal sequence receptor subunit (SSR2). Colony formation, flow cytometry assay, anchorage independent growth assay and in vivo animal model were used to investigate the effect of SSR2 on resistance of HCC cells to DDP. Western blotting, Luciferase reporter gene technique were used to explore the molecular mechanism of SSR2 on resistance of HCC cells to DDP.Results We found signal sequence receptor subunit (SSR2) is significantly upregulated in HCC, which leads to poor survival. Further analysis showed Downregulation of SSR2 increased sensitivity of HCC cells to DDP. Mechanically, SSR2 inhibited the phosphorylation of YAP and promoted the transcription of Hippo signaling downstream genes. Finally, the inhibitor of Hippo pathway can suppress colony formation and tumorigenesis arousing by upregulation of SSR2.Conclusions Our study provided evidence SSR2 played an important role in HCC progression via Hippo pathway, thus targeting SSR2/Hippo pathway axis might be an effective strategy to overcome DDP resistance in HCC.
Effects of two different surgical methods for endovascular repair of the thoracic aorta on the hemodynamics of the left subclavian artery
Authors: Li Xiaowei , Yuan Xiaoming , Wen Zan , Bi Wei 
Published: September 2023

Abstract
Background: Some clinicians use endograft to partially cover the left subclavian artery (LSA) ostium or multilayer flow modulator (MFM) to mitigate cases with an insufficient landing area in thoracic endovascular aortic repair(TEVAR) treatment. So we used computational fluid dynamics (CFD) to study the effects of two surgical methods on the hemodynamics of the LSA, due to they may affect the long-term patency rate of the LSA.
Methods: The digital model of the aortic arch was established and named model A, which only included supraarch branch the LSA. The simulated digital model of the MFM was implanted into model A, named as model B. By directly covering one half of the LSA ostium, which was named as model C. All established models were imported into the Gambit grid division software for grid division and were subsequently imported into the Fluent software for hemodynamic numerical simulation and calculation. The changes in the related hemodynamic parameters of the LSA after implantation of the two stents were analyzed and compared.
Results: Under the same aortic inlet flow, in model C, the lumen flow of the LSA was obviously reduced and the distal descending aorta flow was increased, the local blood flow velocity of LSA ostium increased and whole blood flow velocity at the distal end decreased. The average wall shear stress(WSS) of the LSA was significantly decreased. Meanwhile there was an obvious turbulent flow in the LSA lumen, and the related blood flow state was disordered. However, all changes in model B was occured, they changed slightly compared with model A.
Conclusion: CFD research confirmed that the implantation of an MFM had little influence on the hemodynamics of the LSA. In contrast, the implantation of an endograft partially covering the LSA ostium increased the local ostium velocity. But it reduced the global flow rate, velocity, and average wall shear stress at the distal end. This change is likely to cause a long-term hardening and an acute thrombosis of the LSA artery. Nevertheless, this operation can also be used in specific clinical cases.
A massage technique for chronic nonspecific low back pain:protocol of a randomised controlled trial
Authors: Jiageng Zhao , Muxing Zhu , Shuwen Mao , Qingyun Zeng , Feng Zhang , Affil Sun Gangyi 
Published: September 2023

Abstract
Background：Chronic nonspecific low back pain (CNLBP) is characterised as persistent low back pain lasting beyond a 12-week period, without any detectable particular pathology such as infection, tumour, osteoporosis, lumbar fracture, structural deformity, inflammatory disease, nerve root dysfunction, or cauda equina syndrome. The condition exhibits a substantial prevalence, impacting approximately 20% of the worldwide populace and affecting individuals across all age groups. Currently, low back pain remains the primary contributor to reduced functional capacity and prolonged disability. However, the assessment index for its therapeutic effect remains unclear, and its treatment has also imposed a significant medical burden on a global scale. In recent times, there has been a growing interest in utilising acupuncture and massage, which are considered emblematic modalities of traditional Chinese medicine, as innovative approaches for diagnosing and treating various ailments. The objective of the research was to examine the clinical effectiveness of a novel massage therapy in the treatment of chronic low back pain.
Methods:This study is an interventional trial conducted at a single centre, characterised by a prospective design and incorporating control groups. The study design also includes randomization and blinding of the participants.The experiment will be conducted across three measurement periods, specifically on days 0 and 28 (referred to as D0 and D28, respectively). During D0, the subjects will be randomly assigned to two groups: the experimental group and the control group. Both groups will be evaluated based on their VAS scores and ODI scores.The erector spinae thickness was determined by the use of musculoskeletal ultrasonography.The experimental group received a modified massage intervention, whereas the control group received a conventional Chinese massage intervention. The subsequent measurements will be conducted in a manner consistent with the last assessment. The aforementioned timetable will be replicated on Day 28, with the completion of a single assessment.
Disscusion:This study will start in 2023.
Trial registration:This trial is registered with Clinicaltrials.gov, 2023 July, registration number is NCT05974761,The title is Clinical Observation on the Treatment of Massage Based on Fascia Chain.
Association between first-line antidepressant use and risk of dementia in older adults: a retrospective cohort study
Authors: Wang Hsin-Min (Grace) , Chen Wei-Han , Chang Shao-Hsuan , Zhang Tianxiao , Shao Hui , Guo Jingchuan , Lo-Ciganic Wei-Hsuan 
Published: September 2023

Abstract
Background
Prior studies suggested that antidepressant use is associated with an increased risk of dementia compared to no use, which is subject to confounding by indication. We aimed to compare the dementia risk among older adults with depression receiving first-line antidepressants (i.e., SSRI/SNRI) versus psychotherapy, which is also considered the first-line therapy for depression.
Methods
This retrospective cohort study was conducted using the US Medical Expenditure Panel Survey from 2010 to 2019. We included adults aged ≥50 years diagnosed with depression who initiated SSRI/SNRI or psychotherapy. We excluded patients with a dementia diagnosis before the first record of SSRI/SNRI use or psychotherapy. The exposure was the patient’s receipt of SSRI/SNRI (identified from self-report questionnaires) or psychotherapy (identified from the Outpatient Visits or Office-Based Medical Provider Visits files). The outcome was a new diagnosis of dementia within 2 years (i.e., survey panel period) identified using ICD-9/ICD-10 codes from the Medical Conditions file. Using a multivariable logistic regression model, we reported adjusted odds ratios (aORs) with 95% confidence intervals (CIs). We also conducted subgroup analyses by patient sex, age group, race, severity of depression, combined use of other non-SSRI/SNRI antidepressants, and presence of underlying cognitive impairment.
Results
Among 2,710 eligible patients (mean age= 61±8, female=69%, white=84%), 89% used SSRIs/SNRIs, and 11% received psychotherapy. The SSRI/SNRI users had a higher crude incidence of dementia than the psychotherapy group (16.1% vs. 12.7%), with an aOR of 1.39 (95% CI=1.21-1.59). Subgroup analyses yielded similar findings as the main analyses, except no significant association for patients who were black (0.75, 95% CI=0.55- 1.02), had a higher PHQ-2 (1.08, 95% CI=0.82-1.41), had concomitant non-SSRI/SNRI antidepressants (0.75, 95% CI=0.34-1.66), and had underlying cognitive impairment (0.84, 95% CI=0.66- 1.05).
Conclusions
Our findings suggested that older adults with depression receiving SSRIs/SNRIs were associated with an increased dementia risk compared to those receiving psychotherapy.
Ability of dynamic contrast-enhanced magnetic resonance imaging to determine axillary sentinel lymph node status in patients with breast cancer
Authors: Xiao Fang , Wang Peng , Jin Mingli , Zhang Anli , Wei Chao , Zhang Miaoqi 
Published: September 2023

Abstract
Purpose
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been confirmed to be a useful technique for identification of lymph node metastasis in patients with breast cancer. However, the value of DCE-MRI for the determination of sentinel lymph node (SLN) status [pN0, pN0(i+), pN1mi, or pN1] is unknown. The aim of this study was to investigate the ability of DCE-MRI to determine SLN status in patients with breast cancer.
Methods
Fifty-four women with breast cancer (mean age 50.30 ± 11.41 years) who underwent SLN biopsy, DCE-MRI, and axillary lymph node dissection between 2019 and 2021 were enrolled in the study. DCE-MRI kinetic parameters were investigated according to SLN status. Univariable and ordered logistic regression was used to identify risk factors according to SLN status. The diagnostic performance of the kinetic parameters was quantified by the area under the receiver-operating characteristic curve (AUC).
Results
The findings for DCE-MRI kinetic parameters according to SLN status were statistically significant. Ktrans was the strongest predictor of SLN status. The AUC of Ktrans for distinguishing between metastatic and nonmetastatic SLNs was 0.942 (95% confidence interval [CI] 0.887–0.997, P < 0.001), 0.937 (95% CI 0.874–1.000, P < 0.001) for distinguishing between pN0 to pN1mi and pN1, and 0.928 (95% CI 0.855–1.000, P < 0.001) for distinguishing between pN0 to pN0(i+) and pN1mi to pN1.
Conclusion
DCE-MRI is a useful diagnostic modality for detection of SLN metastasis. Ktrans is the best single parameter for determination of SLN status.
Vehicle Detection and Classification using Optimal Deep Learning on High-Resolution Remote Sensing Imagery for Urban Traffic Monitoring
Authors: Alotaibi Youseef , Nagappan Krishnaraj , K Geetha Rani , rajendran surendran 
Published: September 2023

Abstract
Remote sensing images (RSI), such as aerial or satellite images, produce a large-scale view of the Earth's surface, getting them used to track and monitor vehicles from several settings like border control, disaster response, and urban traffic surveillance. Vehicle detection and classification utilizing RSIs is a vital application of computer vision and image processing. It contains locating and identifying vehicles from the image. It is done using many approaches having object detection approaches, namely YOLO, Faster R-CNN, or SSD, that utilize deep learning (DL) for locating and identifying the image. Also, the vehicle classification from RSIs contains classifying them dependent upon their variety, like trucks, motorcycles, cars, or buses utilizing machine learning (ML) techniques. This article designed and develop an automated vehicle type detection and classification using a chaotic equilibrium optimization algorithm with deep learning (VDTC-CEOADL) on high resolution RSIs. The presented VDTC-CEOADL technique examines the high-quality RSIs for the accurate detection and classification of vehicles. The VDTC-CEOADL technique employs a YOLO-HR object detector with Residual Network as a backbone model to accomplish this. In addition, CEOA based hyperparameter optimizer is de-signed for the parameter tuning of the ResNet model. For the vehicle classification process, the VDTC-CEOADL technique exploits the attention based long short term memory (ALSTM) mod-el. The performance validation of the VDTC-CEOADL technique is validated on high resolution RSI dataset, and the results portrayed the supremacy of the VDTC-CEOADL technique in terms of different measures.
Urban Waterlogging Prediction Based on Time Lag Correlation Analysis and Multi-model Coupling
Authors: Lei Xiaohui , Liu Dongkun , Long Yan , Huang Haocheng 
Published: September 2023

Abstract
As extreme weather becomes more frequent and the damage caused by urban waterlogging is increasing, it is important to establish a fast and accurate model of waterlogging disasters. However, the smartization of most cities starts relatively late, and the types and quality of monitoring data are uneven. Therefore, there has been a focus on researching and developing a reasonable, fast, and accurate urban waterlogging prediction model that can effectively utilize limited data. Based on this situation, a method of time lag correlation analysis considering the mechanism of regional physics (PTLC) is proposed in this paper. Combined with spatial decoupling, a prior analysis is provided for model prediction. At the same time, a deep learning model (Poar_LSTM) with automatic optimization function is proposed and coupled with hydrodynamic model (Poar_DHC). Based on the verification of Doumen area in Fuzhou, the typical rainfall process from 2021 to 2022 is reviewed. The results indicate that Poar_LSTM shows obvious advantages in the river level prediction during the same rainfall period. The Nash efficiency coefficients in the verification reach 0.969 and 0.971 respectively. Different data-driven models have little influence on the overall prediction effect of waterlogging coupling model. Poar_DHC has the highest accuracy in the prediction of underground liquid level. According to the different rainfalls, PTLC plays a good guiding role in the prior analysis and later evaluation of the early prediction of the model. This study can provide a scientific reference for the analysis of flood mechanism and the rapid and accurate prediction of rainstorms.
Infection of human macrophage-like cells by African swine fever virus
Authors: Karalyan Zaven A. , Ghonyan Susanna A. , Poghosyan Davit A. , Hakobyan Lina H. , Avagyan Hranush R. , Avetisyan Aida S. , Abroyan Liana O. , Poghosyan Arpine A. , Hakobyan Sona A. , Manukyan Gayane P. 
Published: September 2023

Abstract

African swine fever (ASF) virus (ASFV) and ASF-like viral sequences were identified in human samples and sewage as well as in different water environments. Pigs regularly experience infections with ASF virus. The considerable stability of the virus in the environment suggests that there is ongoing and long-term contact between humans and the ASF virus. However, humans exhibit resistance to the ASF virus, and the decisive factor in the development of infection in the body is most likely the reaction of target macrophages to the virus. Therefore, the aim of this study was to characterize the response of human macrophages to the virus and explore the distinct features of the viral replication cycle within human macrophages. Our findings have shown that the virus effectively initiated the replication process by entering human macrophages. Subsequently, the virus shed its capsid, initiated the transcription of numerous viral genes, and at least some of these genes executed their functions. In THP-1-derived macrophages (Mφ0), ASFV implemented a number of functions to suppress cell activity, but the timing of their implementation was slower compared to virus-sensitive porcine alveolar macrophages (PAMs). Besides, the virus was unable to complete the full replication cycle in human Mφ0, as indicated by the absence of viral factories and a decrease in infectious titers of the virus with each subsequent passage. Overall, the infection of Mφ0 with ASFV caused significant alterations in their phenotype and functions such as increased TLR2, TLR3, CD80, CD36, CD163, CXCR2, and surface LAMP-1 expression. Increased production of TNF, IL-10, and decreased production of IFN-α were also observed. Taken together, the virus enters human THP-1-derived macrophages, starts transcription, and causes a response from target cells, but is unable to complete the replicative cycle.
Simulation of the 1934 earthquake in Kathmandu, Nepal
Authors: Ghimire Sunita , Parajuli Hari Ram , Maskey Prem Nath 
Published: September 2023

Abstract
In this study, utilizing appropriate target spectra and a special envelope function, an artificial time history is generated for the major earthquakes of 1934 and 2015 A.D. The peak ground acceleration (PGA), mean time period, predominant period, significant duration, response spectra, and Fourier spectra of the 2015 earthquake are obtained from the generated time history and compared to those of the recorded earthquake. The maximum PGA derived from the simulation and the PGA derived from the damage-based MMI scale are compared for the earthquake of 1934. These earthquakes' significant duration is also compared with other subduction zone earthquakes. Compared to other subduction zone earthquakes, Nepal's earthquakes have a longer significant duration.
YY1 promotes breast cancer metastasis via the DUSP6/p-ERK1/2 signaling axis 1
Authors: He Shiqing , Zhou Ying , Xu Jiahao , Zhang Zeyu , Zhang Jiaxin , Liu Zhao , Zhou Xueyan 
Published: September 2023

Abstract
Background: The incidence of breast cancer (BC) and mortality from metastasis continue to increase. Yin Yang-1 (YY1) transcription factor is involved in tumor progression; however, its function in BC metastasis and its molecular mechanisms remain unclear.
Methods: The expression level and prognosis of YY1 in BC were determined by bioinformatic analysis. The biological functions of YY1 were assessed on lentiviral constructs of overexpression and shRNA cell lines using wound-healing and transwell assays, and lung metastasis was observed by bioluminescence imaging of nude mice injected subcutaneously with selected cell lines. Western blotting was conducted to measure the protein levels of genes related to the extracellular signal-regulated kinase (ERK) signaling pathway and markers for the epithelial-mesenchymal transition (EMT). The binding of YY1 to the promoter of dual specificity phosphatase 6 (DUSP6) was evaluated by means of a luciferase reporter gene assay.
Results: In BC tissues, YY1 is expressed at a high level, and a higher expression level of YY1 is linked to the N and M stages and a worse prognosis. YY1 promotes the invasion, migration, and EMT of BC cells both in vitro and in vivo. This is the first study of BC to show how YY1 binds to the DUSP6 promoter and represses its transcription, thus activating the ERK pathway to promote EMT and BC progression.
Conclusions: As an oncogene, YY1 promotes BC metastasis by targeting DUSP6 to activate the ERK pathway. For patients with BC, it could serve as a novel treatment target.