bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term quality of life in adult extracorporeal membrane oxygenation survivors: A single-center, cross-sectional study
Authors: Zeng Xiaoting , Yang Fuxun , Luo Xiaoxiu , Li Jiajia , Lan Yunping , Zeng Fan , Lei Yu , Pan Chun , Liu Rongan , Huang Xiaobo 
Published: March 2024

Abstract

Background: To understand the present situation of long-term quality of life of adult extracorporeal membrane oxygenation (ECMO) survivors, this study aimed to analyze and discuss the influencing factors and provide a reference for standardizing continuous nursing schemes for such patients.
Methods:
A cross-sectional survey was conducted by objective sampling using the General Information Questionnaire, 36-item short form health survey (SF-36), Barthel Index (BI), post-traumatic self-stress disorder rating scale (PTSD-SS), and Nottingham Health Profile part II (NHP-part II). A total of 106 adult ECMO survivors were included in the study. The quality of life, self-care ability, psychological state, and social adaptability of the patients were evaluated using investigative tools.
A two-sample rank sum test or multi-sample Kruskal–Wallis test, Spearman correlation analysis, and multiple linear regression were used for statistical analysis.
Results:
This study’s results showed that the score of long-term quality of life in adult ECMO survivors was (63.72±20.87) and that of their mental health was (72.69±23.67). Physical health was positively correlated with the BI score (r=0.560, P < 0.01) and negatively correlated with the PTSD-SS (r=-0.58, P < 0.01) and NHP-part II score (r=-0.757, P < 0.01). Mental health was positively correlated with the BI score (r=0.589, P < 0.01) and negatively correlated with the post-traumatic stress disorder self-rating score (r=-0.741, P < 0.01) and NHP-part II score (r=-0.647, P < 0.01). Physical health content, caregiver type, on-the-job status, BI evaluation score, PTSD-SS, and NHP-part II score were independent influencing factors of quality of life (P < 0.05), which explained 82.6 % of the variability. The content dimensions of mental health, working status, residence, BI evaluation score, PTSD-SS, and the NHP-part-II score were independent influencing factors (P < 0.05), which explained 73.9 % of the variation.
Conclusion:
Surviving adult patients on ECMO have poor long-term quality of life and varying degrees of physical, psychological, and social dysfunction, with especially social functions that are in urgent need of restoration. Long-term quality of life is affected by many factors, including caregiver type, employment status, BI level, PTSD-SS level, NHP-part II level, and place of residence. A professional medical team is needed to establish ECMO professional clinics to provide more comprehensive and accurate care and improve the overall quality of life.
The PDE4DIP-AKAP9 axis promotes lung cancer growth through modulation of PKA signalling
Authors: Lu Xincheng , Fu Yangyang , Huang Shishun , Pan Rulu , Zhu Fangsheng , Fang Qiwei , Wu Liyue , Dai Juji , Wang Ou-Chen , Lu Liting , Wei Xiduan , Wang Liangxing 
Published: March 2024

Abstract

Phosphodiesterase 4D interacting protein (PDE4DIP) is a Golgi/centrosome-associated protein that plays critical roles in the regulation of microtubule dynamics and maintenance of the Golgi structure. However, its biological role in human cancer remains largely unknown. In this study, we showed that PDE4DIP is overexpressed in human non-small cell lung cancer (NSCLC) tissues and that upregulated PDE4DIP expression is associated with poor prognosis in patients with lung cancer. We demonstrated that PDE4DIP knockdown inhibits NSCLC cell proliferation in vitro and tumorigenicity in vivo. We further demonstrated that PDE4DIP knockdown triggers apoptosis and cell cycle arrest in NSCLC cells by activating the PKA/CREB signalling pathway. PDE4DIP coordinates with AKAP9 to enhance the Golgi localization and stability of PKA RIIα. Depletion of PDE4DIP mislocalizes PKA RIIα from the Golgi and leads to its degradation, thereby compromising its negative regulatory effect on PKA signalling. Overall, our findings provide novel insights into the roles of the PDE4DIP-AKAP9 complex in regulating PKA signalling and NSCLC growth and highlight PDE4DIP as a promising therapeutic target for NSCLC.
Multicenter, open-label, randomized, controlled study to test the utility of electronic patient-reported outcome (ePRO) monitoring in patients with unresectable advanced cancers or metastatic/recurrent solid tumors
Authors: Taira Naruto , Kiyota Naomi , Kikawa Yuichiro , Ichihara Eiki , Kato Kyoko , Kubota Kaoru , Tateishi Ryosuke , Nakata Akinobu , Nakamura Keiichiro , Narita Yukiya , Hotta Katsuyuki , Iwata Hiroji , Gemma Akihiko , Shimozuma Kojiro , Muro Kei , Iwamoto Tetsuya , Takumoto Yuki , Shiroiwa Takeru , Fukuda Takashi , Yamaguchi Takuhiro , Hagiwara Yasuhiro , Minami Hironobu 
Published: March 2024

Abstract

Background: Electronic patient-reported outcome (ePRO) monitoring for patients undergoing cancer chemotherapy may provide qualified and early detection of adverse events or disease-related symptoms, leading to improved patient care. The aim of this study is to examine whether addition of ePRO monitoring to routine medical care contributes to improved overall survival and quality of life of cancer patients undergoing chemotherapy.
Methods: Patients with unresectable advanced cancers or metastatic/recurrent solid tumors receiving systemic chemotherapy will be randomized to an ePRO monitoring group and a usual care group. The ePRO group will conduct weekly symptom monitoring using an electronic device after study enrollment until the end of the study. Monitoring items were extracted for each cancer type from the Patient-Reported Outcome-Common Terminology Criteria for Adverse Events. Monitoring results will be returned to medical personnel and used as information for patient care. In addition, a threshold for high severity is predefined for each symptom, and any report in excess of the threshold will be sent to the medical personnel as an alert notification. Upon receiving the notification, the personnel will assess the notification and take the appropriate action. The primary endpoints are overall survival and health related quality of life, and the secondary endpoints are quality adjusted life years, time from the last drug therapy to death, number of unscheduled visits, relative dose intensity of drug therapy, number of drug therapy regimens, incremental cost-effectiveness ratio, and patient-healthcare provider communication. The target sample size is 500 cases.
Discussion: Timely access to information on adverse events that occur at home through ePRO monitoring during therapy may lead to proper management of clinically relevant adverse events and early detection of disease progression. If the usefulness of new communication tools between patients and medical staff using information technology is proved, the quality of cancer treatment will progress greatly.
Trial registration: ClinicalTrials.gov Identifier: NCT05931445. First Posted: July 5, 2023. University Hospital Medical Information Network: UMIN ID000042447. First Posted: November 13, 2020.
Study on Dynamic Response and Long-term Settlement of Silty Soil around Shanghai Metro Tunnel
Authors: Sang Biaowei , Yan Chunling , Wang Cheng , Qu Xin 
Published: March 2024

Abstract

The current research on the long-term settlement prediction of tunnels under subway loading is generally based on the maximum passenger loading condition, and the influence of passenger flow changes on tunnel settlement is seldom taken into account, which leads to the discrepancy between the calculation conditions and the actual working conditions. In this regard, firstly, from the perspective of passenger flow pattern, the metro operation is divided into three working conditions, namely "peak period, secondary period and low period" by using data mining method. Afterwards, the dynamic response characteristics of the soil around the tunnel under each working condition are compared by numerical simulation, and it is found that the dynamic response results of each passenger working condition are quite different, and the influence of the passenger flow changes on the tunnel settlement cannot be ignored in the study. Then on this basis, based on the principle of calculus, considering the change rule of metro passenger flow, the explicit integral prediction model of long-term tunnel settlement is established, and relying on the measured data of Shanghai Metro Line 1, the reliability of the model is verified. Finally, the long-term settlement characteristics of tunnels in silty soil areas are analysed by taking Shanghai Metro Line 10 as an example. The results indicate that under the same conditions, the soil displacement and dynamic bias stress around the tunnel increase with the passenger capacity. The improved integral prediction model yields more accurate results compared to the conventional model and can be applied to research related to the prediction of long-term settlement of the metro. The long-term settlement of Shanghai Metro Line 10 develops faster in the early stage of operation, and the settlement after 5 years of operation is about 30.53 mm, which is 82% of the total settlement after 20 years (37.07 mm).
A Risk Prediction Model for Unexplained Early Neurological Deterioration Following Intravenous
Authors: Zhu Bifeng , Wang Dan , Zuo Jing , Huang Yi , Gao Chang , Jiang Haiwei , Yan Dan 
Published: March 2024

Abstract
Background and Objectives:
Early neurological deterioration (END) post-intravenous thrombolysis significantly impacts the long-term prognosis of stroke patients. This study aimed to establish a rapid risk prediction model for unexplained END following intravenous thrombolysis.
Methods
This prospective study consecutively enrolled patients with acute ischemic stroke treated with recombinant tissue plasminogen activator intravenous thrombolysis at the Department of Neurology, Third People's Hospital of Hubei Province, and Yangluo Hospital District between June 2019 and December 2021. Unexplained END was defined as an increase of ≥ 4 points in the National Institutes of Health Stroke Scale (NIHSS) score between admission and 24 hours. A nomogram was developed and assessed by calculating the area under the receiver operating characteristic curve (AUC-ROC). The calibration was assessed using the Hosmer-Lemeshow test.
Results
A total of 211 patients (130 males and 110 patients aged < 65 years) were included, with 66 experiencing unexplained END. Multivariate logistic regression analysis identified large arterial disease, transient ischemic attack, high blood glucose, high neutrophil/lymphocyte ratio, important perforator disease, and low the Alberta Stroke Program Early CT scores as independent risk factors for END and established the nomogram used above indicators. The nomogram showed an AUC-ROC of 0.809 (95% CI: 0.7429–0.8751), with a specificity of 0.862 and sensitivity of 0.712. The positive predictive value was 0.702, and the negative predictive value was 0.868. The Hosmer-Lemeshow goodness-of-fit test (χ2 = 1.069, P = 0.169) indicated acceptable model calibration.
Conclusion
This study successfully established a risk prediction model for END following intravenous thrombolysis and the model demonstrates good stability and predictive capacity. Further validation through a prospective, multicenter study is necessary.
Gender-based violence and its health risks on women in Yaoundé, Cameroon
Authors: Nguefack-Tsague Georges , Amani Adidja , Dadjie Valérie Djouna , Koyalta Donato , Nounkeu Carole Debora , Dissak-Delon Fanny Nadia , Lekeumo Fabrice Zobel Cheuyem , Dongmo Gilles Protais Lekelem , Anastasie Christelle Mbe , Mviena Justine Laure Menguene , Kibu Odette , Ngoufack Marie Nicole , Sida Magloire Biwole , Juillard Catherine , Chichom-Mefire Alain 
Published: March 2024

Abstract

Introduction: Gender-based violence (GBV) is a major public health problem that disproportionately affects women. In Cameroon, as well as other countries worldwide, GBV has immediate effects on women's health, with one in three women experiencing physical or sexual violence from an intimate partner, affecting their physical and reproductive health. The objective of this study was to determine the health risks associated with GBV among women in Yaoundé.
Methods: A cross-sectional study was conducted in Yaoundé (Cameroon), from August to October 2022. Tests of associations were used to establish relationships between qualitative variables. Associations were further quantified using crude odds ratio (OR) for univariate analysis and adjusted odds ratio (aOR) for multivariate analysis with 95% confidence interval (CI). Variables with p-value˂0.05 were considered statistically significant.
Results: A total of 404 women aged 17 to 67 years were interviewed. Emotional violence was the most commonly reported violence (78.8%), followed by economic violence (56.9%), physical violence (45.8%) and sexual violence (33.7%). The main reasons for violence were jealousy (25.7%), insolence (19.3%) and the refusal to have sexual intercourse (16.3%). The most prevalent adverse health outcome was mental disorders (70,5%), followed by chronic physical trauma (45.8%), acute physical trauma (45.1%), gynaecological trauma (38.4%), and behavioral disorders (29.7%). Most victims reported adverse health outcomes (80.2%). Women who were victims of any kind of violence had a higher likelihood of experiencing health problems: physical violence [OR=34.9, CI(10.8-112.9), p<0.001]; sexual violence [OR=1.5, CI(0.9-2.7), p=0.11]; economic violence [OR=2.4, CI(1.4-3.9), p=0.001]; and emotional violence [OR=2.9, CI(1.7-4.9), p<0.001]. Using multiple binary logistic regression, only physical violence [aOR=15.4, CI(6.7-22.5), p=0.001] remained highly associated with an increased likelihood of having adverse health outcomes.
Conclusion: This study underscores the urgent need for comprehensive interventions to address GBV, including improved reporting and documentation of cases, increased awareness among healthcare providers, the establishment of support networks for victims, primary and secondary prevention of GBV. It is essential that the Government of Cameroon, through the Ministries in charge of Health and Women's Empowerment, minimizes the health effects of GBV through early identification, monitoring, and treatment of GBV survivors by providing them with high-quality health care services.
Project portfolio selection considering the hindrance to risk propagation: a dual-objective optimization approach
Authors: Lv Xiaoyan , Li Xingmei , Shen Zhong , Jia Dongqing 
Published: March 2024

Abstract

The problem of project portfolio selection considering risk propagation is a new research topic, but it overlooks the fact that the risk propagation process can be hindered by resource mobilisation within candidate projects, which is defined as “risk absorption” in this paper. Neglecting this process may lead to the risk propagation process being overestimated. This study aims to investigate the problem of project portfolio selection considering risk absorption, and to work on selecting stable project portfolio. To address this issue, the article first examines the process of risk absorption among projects and calculates the amount of risk absorbed based on the strength of the interactions between the projects selected. Secondly, the total risk intensity of the project is given by calculating the risk propagation intensity and self-incurred risk intensity. Finally, a dual-objective project portfolio selection model considering risk absorption is developed by combining the risk intensity and net present value of the project. The analysis of a case study demonstrates that 1) considering risk absorption can reduce the probability of project risks occurring due to being propagated, 2) considering risk absorption will prioritize projects with higher returns, albeit accompanied by relatively higher risks.
A new strong convective precipitation forecasting method based on attention mechanism and spatio-temporal reasoning
Authors: Zhao Guoyu , Wang Zhangu , Zhao Ziliang , Zhao Jun 
Published: March 2024

Abstract

Radar observation variables reﬂect the precipitation amount of strong convective precipitation processes, which accurate forecast is an important difﬁculty in weather forecasting. Current forecasting methods are mostly based on radar echo extrapolation, which has the insufﬁciency of input information and the ineffectiveness of model architecture. This paper presents a Bidirectional Long Short-Term Memory forecasting method for strong convective precipitation based on the attention mechanism and residual neural network (ResNet-Attention-BiLSTM). First, this paper uses ResNet to effectively extract the key information of extreme weather and solves the problem of regression to the mean of the prediction model by learning the residuals of the radar observation data. Second, this paper uses the attention mechanism to adaptively weight the fusion of the features to enhance the extraction of the important features of the precipitation image data. On this basis, this paper presents a novel spatio-temporal reasoning method for radar observations and establishes a precipitation forecasting model, which captures the past and future time-order relationship of the sequence data. Finally, this paper conducts experiments based on the real collected data of a strong convective precipitation process and compares its performance with the existing models, the mean absolute percentage error of this model was reduced by 15.94% (1km), 18.72% (3km), and 14.91% (7km), and the prediction accuracy (R2) was increased by 10.89% (1km), 9.61% (3km), and 9.29% (7km), which proves the state of the art and effectiveness of this forecasting model.
Efficacy of oral semaglutide after switching from DPP-4 inhibitors in Japanese type 2 diabetes patients with obesity
Authors: Okamoto Aki , Yokokawa Hirohide , Morimoto Aya , Fukuda Hiroshi , Hisaoka Teruhiko , Naito Toshio 
Published: March 2024

Abstract

Background
Although these findings suggest that oral semaglutide may be a suitable treatment option for obese patients with type 2 diabetes mellitus inadequately responsive to dipeptidyl peptidase (DPP)-4 inhibitor–based therapy, evidence from actual clinical settings remains limited.
Objective
The objective of this study was to investigate the effect of oral semaglutide in obese patients with type 2 diabetes mellitus who had an inadequate response to DPP-4 inhibitor–based therapy.
Methods
This study was a retrospective, single-center study in which outpatients with type 2 diabetes were (1) aged 20 years or older at the time of oral semaglutide administration, (2) treated with an existing DPP-4 inhibitor for 3 months and/or longer at the time of oral semaglutide administration, and (3) had a hemoglobin A1c (HbA1c) level of ≥ 6.5% and/or a body mass index (BMI) ≥ 25.0 kg/m2. The primary endpoints were changes in HbA1c and body weight from baseline to 6 months after oral semaglutide treatment switching from DPP-4 inhibitor.
Results
In the 48 patients studied, HbA1c was 7.01 ± 0.54%, and BMI was 26.7 ± 3.6 kg/m2 at baseline. HbA1c significantly decreased by 0.68 ± 0.36%, and body weight significantly decreased by 3.4 ± 2.3 kg (p < 0.001 for each). Improvements in indices of lipid metabolism and liver function were observed. Non-serious nausea and loss of appetite were observed in many patients, but these symptoms resolved in approximately 3 months. Mild constipation was also observed.
Conclusion
Oral semaglutide appears to be a promising alternative to DPP-4 inhibitors as a means of glycemic and weight control in obese type 2 diabetes.
De novo construction of amine-functionalized metal-organic cages as heterogenous catalysts for micro flow catalysis
Authors: Cui Yong , Li Yingguo , He Jialun , Lu Guilong , Yuan Lingfeng , Deng Juan , Yang Fu , Jiang Danfeng , Chen Xiao , Yu Ziyi , Liu Yan , Yu Chao 
Published: March 2024

Abstract

Micro flow catalysis is a cutting-edge approach with the potential to significantly advance chemical synthesis and manufacturing in terms of control, safety, efficiency, and scalability. However, a notable challenge in this field is developing heterogeneous catalysts with high activity and stability for micro-flow catalysis. Here we showcase incorporating amine-containing metal-organic cages into automated microfluidic reactors through strong covalent bonds, enabling highly continuous flow catalysis. This facilitates the design and synthesis of two Fe4L4 tetrahedral cages with different cavity sizes, each containing four uncoordinated amines. Post-synthetic modifications of the amine groups with 3-isocyanatopropyltriethoxysilane introduce multiple silane chains into the cage, covalently immobilized on the inner walls of the automated microfluidic system. This streamlines the process of catalyst loading and substrate conversion into a singular, integrated system. The immobilized cages prove highly efficient for the reaction of sequential condensation and cyclization of anthranilamide with aldehydes, showing comparable reactivity and superior recyclability in relative to free cages. This superiority arises from the large cage cavity, facilitating substrate accommodation and conversion, a high mass transfer rate and stable covalent bonds between cage and microreactor. This study represents the first report on the growth of self-assembled cages in the microreactor for continuous flow catalysis. It exemplifies the synergy of cages with microreactor technology, highlighting the benefits of heterogenous cages and potentials for future automated synthesis processes.
Parameterization of nonlinear aeroelastic reduced order models via direct interpolation of Taylor partial derivatives
Authors: Candon Michael , Hale Errol , Balajewicz Maciej , Delgado-Gutierez Arturo , Muscarello Vincenzo , Marzocca Pier 
Published: March 2024

Abstract

The identification of optimally sparse Taylor partial derivatives presents a new opportunity in efficient nonlinear aerodynamic model reduction for complex aeroelastic systems. Unfortunately, for this class of reduced order model (ROM), the robustness that is observed in the linear regime to parameters including; dynamic pressure, control hinge linear stiffness, or even freeplay, is quickly forfeited given the amplitude (or velocity) dependency of the aerodynamic loading on the structure. In this paper, nonlinear sensitivity is addressed by interpolating a library of nonlinear unsteady aerodynamic ROMs across a compact subspace in dynamic pressure and freeplay magnitude. The ROM, based on Lagrange interpolation of sparse higher-order Taylor partial derivatives, demonstrates excellent precision in modelling high amplitude transonic limit cycle oscillations for an all-movable wing with freeplay, capturing the nonlinear instability region (up to 96% of the linear flutter boundary), and for a range of freeplay values.
Mathematics Subject Classification (2020) MSC code1 · MSC code2 · more