bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of COVID-19 Policy Stringency on Patient Satisfaction with Community Pharmacy in China: A Cross-sectional Standardized Patient Study
Authors: Huang Ruijian , Xu Dong Roman , Pan Jay , Wang Xiaohui , Chen Yingsong , Xue Qingyuan , Liu Jiamei , Xu Jingyun , Xiao Yue , Jiang Feng , Chen Yanfei , Ding Siyu , Wang Di , Zhou Jifang 
Published: October 2023

Abstract
Background: Community pharmacy services play a crucial role in China's primary healthcare system. However, the COVID-19 pandemic has introduced unprecedented challenges. Assessing the impact of COVID-19 closure policies on patient satisfaction and evaluating the underlying mechanisms are essential for enhancing the quality of pharmacy services.
Methods: Cross-sectional study conducted from April 2021 to September 2022, using an unannounced standardized patient approach in community pharmacies across China. Patient satisfaction measured using validated tools, with closure policies related to COVID-19 as the primary exposure variable.
Results: The study included 1,076 eligible visits sample of community pharmacies and patients. Results indicated that stricter closure policies had a significant negative impact on patient satisfaction (β = −0.18, p = 0.019). This negative effect may be attributed to worsened accessibility (β = -0.12, p = 0.019) and capability of pharmaceutical service providers (β = -0.17, p = 0.002). Subgroup analyses further demonstrated a negative correlation between stricter closure policies and lower satisfaction levels with regard to accessibility (β = -0.38, p = 0.036), capability (β = -0.37, p = 0.089), and communication (β = -0.34, p = 0.095).
Conclusions: COVID-19 closure policies in China have adverse consequences for the quality of pharmacy services. These findings highlight the urgency of addressing abrupt infectious diseases or public health emergencies. Enhancing access to pharmacy services and improving the capability of providers are critical strategies to ensure an effective response to sudden public health crises.
Melatonin Ameliorates High Fat Diet Induced Oxidative Stress-Mediated Insulin Resistance, Amyloid Burden and Memory Dysfunction in Female Mice and their offspring
Authors: Jan Amin , Shah Mohsin , Shah Shahid Ali , Syed Hamid Habib , Ehtesham Ehtesham 
Published: October 2023

Abstract
High fat diet (HFD) is a prime factor, which contributes to the present epidemic of metabolic syndrome. HFD induces oxidative stress (OS) that in turn causes neuroinflammation, neurodegeneration, synaptic dysfunction, insulin resistance and amyloid burden. Pineal gland secretes a potent anti-apoptotic hormone, melatonin that has the potential to nullify the toxic effect of reactive oxygen species (ROS) and ameliorate various complications induced by HFD in rodent models. We aimed to find the therapeutic effects of melatonin against HFD-induced neuroinflammation and neurodegeneration mediated by OS in pregnant mice and their offspring. The neuroprotective effects of melatonin against HFD induced neurotoxicity were analyzed by Western blotting and immunofluorescence in the brain homogenates of pregnant albino mice and their offspring. Short and long term memory loss was evaluated. HFD significantly induced OS leading to neuroinflammation and apoptotic neurodegeneration in cortex and hippocampus of the pregnant mice and their offspring. However, administration of melatonin with HFD significantly improved synaptic dysfunction and inhibited both the neuroinflammation and neurodegeneration in albino mice. Here, we report that melatonin exerts these effects via SIRT1 mediated NRF-2/HO-1 signaling pathway to reduce HFD-induced OS and insulin resistance. This study revealed that melatonin could reverse HFD induced multiple complications leading to the memory dysfunction in pregnant female mice and their successive generation via activation of SIRT1/NRF2 signaling pathway.
Exploring The Role of Verbal and Non-Verbal Communication Skills of Nursing in Patients Healing
Authors: Rehman Unaiza , Sohail Amjad 
Published: October 2023

Abstract

Background
Nurses have been an eminent part of the healthcare force. Primarily focusing on patient interactions with nurses as they are the main healthcare providers. They are also responsible for patient care and wellness during their stay at the hospital or any medical vicinity. Nurses are specialized in patient care which involves their role as counselors, healers, and caregivers.
Methods
The paper aims to involve issues on the intersection of nurses' communication and its relative relation with the patient's healing. This paper aims to explore how verbal and non-verbal communication impacts the patient's perception of the disease, develops the notion of one's disease, and impacts patient care delivery. This exploratory research focuses on the significance of nursing staff communication with patients. The research is done in their natural settings and the methodology involves a qualitative thematic analysis followed by in-depth interviews in hospitals.
Results
The empirical data is collected from a sample of ten participants, belonging to diverse socio-cultural backgrounds. The six main themes identified in verbal communication are pitch, tone, and choice of words, whereas non-verbal communication includes listening skills, body language, and the sense of social touch. The result indicates that effective communication improves patients’ health. Cultural linguistic barrier significantly affects the patients in such a way that they do not comprehend their needs.
Conclusion
Nurses are essential healthcare providers who specialize in patient care, acting as counselors, healers, and caregivers. This paper explores the impact of nurses' communication on patients' healing, examining how verbal and non-verbal communication affects patients' perceptions of their illness and the quality of care they receive. The study highlights the importance of effective communication between nursing staff and patients and shows that effective communication improves patients’ health outcomes.
Lignans aid novel therapy for migraine through Network Pharmacology
Authors: RUSHENDRAN R , Vellapandian Chitra 
Published: October 2023

Abstract
Most of the women’s daily life disturbed due to migraine attack. Till today there were lots off researches going on to treat migraine but the eminent scientists found the specific drugs to minimize the symptoms produced in the migraine attack. Network pharmacology will be the different strategy to treat migraine via networking of compound-target-pathway approach. This research looked at the molecular mechanism by which the herbal combination of Chrysanthemum indicum and Crocus sativus is effective in relieving migraine symptoms. The biomolecules of CICS were acquired from Dr. Duke's Phytochemical and Ethnobotanical and IMPPAT Databases. Active ingredients were screened by SwissADME tool and toxicity by OSIRIS tool. The migraine associated targets of active ingredients were determined by online databases. The biomolecule-target-pathway network and degree analysis were evaluated by Cytoscape software 3.9.1. Asarinin, Chrysantherol, Chrysanthetriol, Fargesin, and Crocetin were identified as key ingredients. From the 118 common targets specifically AKT1, VEGFA, TNFα, IL6, and PTGS2 were identified as top key targets based on topological parameters to treat migraineurs. Through enrichment analysis, we identified 167 significant signaling pathways. Lignans and Sesquiterpenes showed good binding affinity with more than 7.00kcal/mol in the molecular docking analysis. Pain relievers and anti-inflammatories are the cornerstones of treatment for CICS-related migraine. Multiple paths, targets, and components can be used in conjunction with the two plants. Lignan fraction having antimigraine activity in dose dependent manner, further keen research should be done with the Fargesin which provide a reference for clinical migraine management.
Blockchain-Based Privacy-Preserving for secure and efficient Maas Ecosystem in the context Of IoV: A Survey
Authors: Murkomen Timothy 
Published: October 2023

Abstract
The rapid advancement of Mobility-as-a-Service (MaaS) within the transport sector has brought forth critical challenges in safeguarding privacy and ensuring data security for its participants. In response, blockchain technology has emerged as a promising solution, offering a decentralized and tamper-resistant infrastructure. This survey paper aims to present a comprehensive overview of the utilization of blockchain in the transport sector, with a specific focus on MaaS, and explores its potential role in preserving privacy and enhancing security. We delve into the privacy concerns related to data collection, sharing, and storage within MaaS systems, and examine how blockchain can address these issues through its unique characteristics of transparency, immutability, and cryptographic techniques. By conducting an extensive survey, we analyze the existing blockchain-based privacy-preserving mechanisms applied in the transport sector, shedding light on their efficacy, limitations, and potential applications. Through this survey, we aim to provide valuable insights to researchers, practitioners, and policymakers, highlighting the potential of blockchain-based privacy-preserving approaches in constructing secure and efficient MaaS ecosystems within the context of the Internet of Vehicles (IoV). The study emphasizes the significance of blockchain technology in safeguarding the privacy of participants' data and enhancing overall security, paving the way for the future of privacy-conscious and robust MaaS platforms in the dynamic transport sector. Index Words: Blockchain, Blockchain-based, MaaS, Privacy, Mobility-as-a-Service, Transport-Sector, Security, IoV, Internet of Vehicles.
Integrated Transcriptome and Proteome Analysis Provides insights into CpFPA1 for Floral Induction in Chimonanthus praecox (Magnoliidae) without FLC in genome
Authors: Li Zhineng , Hou Huifang , Wu Chunyu , Huo Juntao , Liu Ning , Jiang Yingjie , Sui Shunzhao 
Published: October 2023

Abstract
Wintersweet (Chimonanthus praecox), a rare winter-flowering woody plant, is well known for its unique blooming time, fragrance and long flowering period. However, the molecular mechanism of flowering in C. praecox remains poorly unclear. In this study, we used transcriptomic and proteomic association analysis to reveal the critical genes/proteins at three key flower bud (FB) differentiation stages (FB.Apr, FB.May and FB.Nov) in C. praecox. The results showed that a total of 952 DEGs and 40 DEPs were identified. Gene ontology (GO) enrichment revealed that DEGs in FB.Apr/FB.May comparison group were mainly involved in metabolic of biological process, cell and cell part of cellular component and catalytic activity of molecular function. In the KOG functional classification, DEPs were predicted mainly in the function of general function prediction only (KOG0118), post-translational modification, protein turnover and chaperones. The autonomous pathway genes play an essential role in the floral induction. Based on transcriptome and proteome correlation analysis, six candidate genes associated with the autonomous pathway were identified, including FPA1, FPA2a, FPA2b, FCA, FLK, FY. The fold change of unigene0031805 FPA1 in mRNA and protein level reached over 5 and 1.5 in FB.Nov/FB.Apr and FB.Nov/FB.May; and that of which reached over 2.5 and 1.2 in FB.May/FB.Apr, respectively. Furthermore, CpFPA1 was isolated and functionally characterized, and ectopic expression of CpFPA1 in Arabidopsis Columbia (Col-0) resulted in earlier flowering. These data could contribute to understand the function of CpFPA1 for floral induction and provide information for further research on the molecular mechanisms of flowering in wintersweet.
Spinal cord compression by cystic IgG4-related spinal pachymeningitis mimicking neurocysticercosis: a case report
Authors: Araújo David Augusto Batista Sá , Ribeiro Rodrigo Mariano , Lima Pedro Lucas Grangeiro de Sá Barreto , Queiroz Dánton Campos , Pitombeira Milena Sales , Martins Bernardo , Coimbra Pablo Picasso Araújo , Nogueira Cleto Dantas , Neto Pedro Braga , Silva Guilherme Diogo , Nóbrega Paulo Ribeiro 
Published: October 2023

Abstract
Background: To report a case of IgG4-related pachymeningitis presenting with cystic lesions mimicking neurocysticercosis.
Case presentation: A 40-year-old female patient with tetraparesis, dysphagia and dysphonia was evaluated with clinical examination, magnetic resonance imaging, and meningeal biopsy. Magnetic resonance imaging (MRI) revealed diffuse pachymeningeal enhancement involving the cranial, cervical, thoracic, and lumbar segments with spinal cord compression and cystic lesions. CSF immunology was initially positive for cysticercus cellulosae. After disease progression a meningeal biopsy was compatible with IgG4 related disease. The patient had partial response to rituximab and needed multiple surgical procedures for spinal cord decompression and CSF shunting.
Conclusions: This case highlights the possibility of IgG4-related disease in patients with diffuse pachymeningitis causing spinal cord compression, even with cystic lesions on MRI. Diagnosis of IgG4-related pachymeningitis is paramount due to the possibility of treatment response to immunotherapy, particularly to anti-CD20 agents.
Frequency veering of railway vehicle systems and its mapping to vibration characteristics
Authors: Liu Guangyu , Gong Dao , Zhou Jinsong 
Published: October 2023

Abstract
Frequency veering is a phenomenon that occurs during the process of modal parameter changes, which is closely related to the response characteristics of the system. Firstly, take the system with simple DOFs as the research object, the variations of modal damping ratio and modal shape in the process of frequency veering are analyzed, and the criterion for identifying frequency veering is preliminarily proposed. Then, to explore the modal evolution of complex vehicle systems with multiple DOFs, an adaptive modal continuous tracking algorithm based on local search algorithm is proposed using the Euclidean closeness of complex modal shapes as an index. The frequency veering phenomenon is analyzed with the established vehicle system dynamics model (Model Ⅰ) and reproduced through the SIMPACK model for multi-body dynamics simulation (Model Ⅱ). The perturbation method is used to analyze the mechanism of the vehicle system eigenvectors being prone to mutations during frequency veering, and the abnormal changes of the modal shapes in the process of frequency veering are further verified. In addition, two quantitative indexes for identifying frequency veering are proposed based on the modal assurance criterion (MAC) and modal shape similarity (MSS). Finally, the mapping relationship between frequency veering and vehicle system response characteristics is explored. The results indicate that before and after frequency veering, the modal shapes interchange, and in the frequency veering zone, the damping-hopping phenomenon also occurs, resulting in a significant decrease in system stability. Corresponding to the phenomena of modal damping ratios and modal shapes, the motion morphology of the vehicle system is clearly observable, and the DOF response of the car body and bogie is obviously increased, which is also manifested in the increase of the vibration of the car body and the bogie and the deterioration of the vehicle ride quality.
Seismic Response Control of RCC building with Plan and Vertical Irregularities using Dampers
Authors: Sanghai Sanket , Gurmule Chinmay 
Published: October 2023

Abstract
Earthquakes can be devastating for cities due to mid and high-rise buildings, as these structures are vulnerable to shaking due to earthquake forces. The effects of earthquake magnify when buildings are constructed with plan or elevational irregularities. To address this issue, in this study, building models with plan and vertical irregularities are analyzed using nonlinear time history analysis. Further, fluid viscous dampers are designed for both types of buildings using Performance based methodology. The response of buildings during seismic events for all models with plan and vertical irregularities is checked with and without dampers. The storey displacements, base shear, element forces and energy dissipation of dampers is compared for the various time history earthquake records. It was observed that, the design of fluid viscous damper changes drastically when irregularities comes into picture. Also, an increase in base shear, axial force values while decrease in storey displacement, shear forces, bending moment values was observed due to inclusion of dampers. It is found that the dampers in structures are effective in resisting earthquake forces.
Coalbed Methane Content Prediction with a Seismic Multi-attribute Support Vector Regression Model
Authors: Yu Pengfei , Zhang Jiawei , Huang Yaping 
Published: October 2023

Abstract
Accurate prediction of coalbed methane (CBM) content plays an essential role in CBM exploration and development. In this study, we selected eight seismic attributes with good responses to the CBM content as the input data. The support vector regression (SVR) model was employed to predict the CBM content and compared with the results of the traditional BP neural network method. The results reveal that the SVR model has higher accuracy compared to the BP neural network model and can better identify areas with high CBM content in the case of small samples. Last, we applied the seismic multi-attribute SVR model to predict the CBM content in an exploration area of the Qinshui Basin in China. The predicted high-gas-bearing areas are consistent with the field data, further verifying the effectiveness and practicality of our method for predicting CBM content.
Multimodal Conversion Therapy with TACE, Zimberelimab, Lenvatinib and S-1, Followed by Debulking Surgery to Prolong Survival for Gallbladder Cancer with Liver Metastasis: A Case Report
Authors: Sun Jianbing , Dang Junqiang , Wang Qingqiang , Zhu Tingshun , Shang Lin , Yuan Zhilin , He Lianxiang , Tu Qian , Yang Yanling , Xiang Hongjun 
Published: October 2023

Abstract
Currently, the prognosis of gallbladder cancer (GBC) with liver metastasis is very poor upon the standard first-line chemotherapy or immunochemotherapy. The published articles supported surgery following multimodal conversion therapy of systemic and locoregional treatment might be a feasible way to prolong survival of GBC with liver metastasis. Herein, we reported a 65-year-old female of GBC with locoregional lymph nodes, blood vessels invasion and liver metastasis in clinical practice. She initiated systemic treatment (zimberelimab and lenvatinib) combined with transcatheter arterial chemoembolization (TACE), and successfully underwent palliative cholecystectomy and partial hepatectomy after 1 course treatment. Then she resumed systemic treatment (zimberelimab, lenvatinib plus S-1) and another TACE on demand, and subsequently received resection of liver metastasis 7 months later. To date, the patient has been achieving a progression-free survival of 13 months from diagnosis. Our case hints that surgery following conversion therapy of systemic and locoregional treatment is a potential way to improve the outcome of GBC with liver metastasis.
Dimensional Accuracy, Mechanical Property, and Optical Stability of Zirconia Orthodontic Bracket
Authors: Park Changbum , Giap Hai-Van , Kwon Jae-Sung , Kim Kyung-Ho , Choi Sung-Hwan , Lee Joon Sang , Lee Kee-Joon 
Published: October 2023

AbstractThis in vitro study evaluated comprehensively the performances of zirconia brackets with varying yttria proportions in manufacturing advanced orthodontic brackets. Three experimental groups of zirconia brackets were fabricated using yttria-stabilized zirconia (YSZ) materials with different yttria proportions–3 mol% yttria (3Y-YSZ), 4 mol% yttria (4Y-YSZ), and 5 mol% yttria (5Y-YSZ) (Tosoh Ceramic, Japan). A polycrystalline alumina ceramic bracket (3M™ Clarity™ Advanced, MBT 0.022-inch slot) was employed as the control group. Morphological properties, including slot surface structure and dimensions, were examined using scanning electron microscopy and surface profiler analysis. Manufacturing accuracy was assessed with root mean square calculations of trueness and precision. Mechanical properties were tested, encompassing static and kinetic frictional resistance (FR) and fracture strength. Optical stability was evaluated through 20,000 cycles of thermocycling and a seven-day immersion in various coloring agents. Within the limitations of this study, zirconia brackets containing 3 to 5 mol% YSZ presented enhanced reliability in terms of dimensional accuracy and demonstrated favorable optical stability. Notably, owing to its advantageous mechanical properties, the 3Y-YSZ variant showed remarkable potential as an advanced material for fabricating orthodontic brackets.
Bottom-up Aggregation of Field-Level Oil Production Profiles via a Successive Sampling Discovery Model and a Birth Process: An Application to the Gulf of Mexico and Norway
Authors: Tarach Moritz 
Published: October 2023

Abstract

We formulate a stochastic bottom-up model for the rate of oil production in a region by combining a size-biased sampling model of the discovery process (Barouch-Kaufman model), a birth process model for the discovery times, and field-level production profiles. For the size-biased sampling model we make the usual assumptions plus the assumption of a truncated field-size distribution and a Poisson prior distribution for the total number of fields. We then propose two approaches by which the size-biased sampling model can be formally connected to a model for the discovery times within a stochastic birth process framework. Using a truncated lognormal field-size distribution, parameter estimation via the expectation-maximization algorithm is repeated for the U.S. Gulf of Mexico and Norway based on the discovery history up to several different years. Combining the estimation results with the other components of the bottom-up model, we conduct Monte Carlo simulations for each region to derive the posterior distribution (conditioning on the discovery history) for the time path of the rate of oil production.
JEL classification: Q35, Q47, C83, C63