bluuebunny/crossref_metadata_2025_split huggingface dataset:
A physical demonstration of the increase in global surface energy due to increasing PCO2
Authors: Franzen Hugo F. , Franzen Stefan 
Published: January 2024

Abstract
Although study of the effect of energy-absorbing gases in our atmosphere has a two-hundred year history and an unequivocal explanation based on scientific observation and theory, a significant fraction of the public and even a few scientists doubt the correlation between the increasing the partial pressure of atmospheric carbon dioxide (PCO2) and the observed increase in terrestrial temperature over the past 120 years. Although the basic science showing that CO2 would absorb the infrared radiation emitted by the earth produce a surface-warming effect was first calculated by Arrhenius in 1896, the issue was neglected by the scientific community for decades. Today there are ample climate models of the climactic effects arising from the forcing term of increasing PCO2. In this paper we follow Arrhenius’ concept, although we use the HITRAN database as the input to prove the connection between earth’s surface temperature and atmospheric absorption of terrestrial radiation. The spectra of CO2 are enormously complicated, broadened by Fermi Resonance, and intense because of the quantum coupling of the rotation of CO2 to its bending. The absorption by CO2 reduces the transmittance of the Earth’s thermal radiation through the atmosphere, which in turn results in heating of the surface. The model does not make any predictions other than that the global temperature will increase as a function of PCO2. A rigorous statement of that connection will hopefully foster greater appreciation of the significance of atmospheric chemistry. We hope that the presentation of a simple model will give scientists the impetus to reach out to the public with lucid explanations based on physical principles.
Large-scale three-dimensional experimental investigation on potential high position landslide‑induced waves in Gushui Reservoir, China
Authors: Chen Shizhuang , Xu Weiya , Feng Yelin , Yan Long , Zhang Yangyang , Cao Fengyuan , Wang Huanling , Xie Wei-Chau 
Published: January 2024

Abstract

The occurrence of landslides in reservoir areas and the potential secondary disasters near dams are characterized by their sudden and catastrophic nature, often limiting the availability of actual measurement data. To address this challenge, prototype physical model test always proves to be valuable method to replicate or reproduce such geological hazards. In this study, we focused on the Meilishi landslide in the Gushui reservoir area as a case study to analyze the potential threat of high position landslide-induced waves under gravity. Based on field investigations and relevant statistical geological data, a large-scale three-dimensional physical model was carried out that integrated the interactions of the landslide, the river, and the dam. With a scale of 1:150, the model had the dimensions of 57, 27, and 8 m. Water level and the maximum sliding velocity into the water were selected as independent variables, leading to a total of 18 experiments. An adaptive landslide motion simulation system based on velocity equivalence and a comprehensive measurement system with tracking technology based on hydrodynamics were independently developed. Those approaches allowed us to reveal the propagation characteristics and attenuation laws of high position landslide-induced waves in a curved channel under various complex conditions. The data showed that the maximum wave run-up height on dam was 17.97 m under the most dangerous working condition (H3C09). Importantly, this value did not exceed the maximum height of dam, indicating a certain level of safety margin for the dam. Combined with the data of different working conditions, the optimal window for landslide risk prevention and control warnings was within 550 s after the onset of landslide instability. The key parameters predicted by the tests, including head wave height, wave run-up height on the opposite bank, wave run-up height on dam, and the propagation times, provided a technical basis and valuable reference for dam engineering design and safety. These results make significant contributions to the prevention and control of similar surges hazard induced by high position landslides around the world.
Estimating the travel distance of channelized rock avalanches using genetic programming and support vector machine
Authors: Zhang Yong , Wang Tao , Liu Mei , Deng Mingfeng , Chen Ningsheng , Jiang Yao 
Published: January 2024

Abstract
Channelized rock avalanche travel distance (CRATD) is one of key parameters in disaster risk analysis.
Although traditional regression analysis methods is widely used in estimating CRATD, there is lack of studies on whether there is a room for further improvement. In this study, 34 channelized rock avalanche events triggered by Wenchuan earthquake in Fujiang River Basin were assembled to develop a robust model for estimating CRATD using two machine learning methods (Genetic Programming (GP) and Support Vector Machine (SVM)) and a widely accepted traditional regression analysis method (Power Form model (PFM)). It was found that GP model performed best among the three methods when the influence of source area, height difference between the head scarp crown and the base of the collapsed slope, average inclination angle of the source zone, and average slope angle of the travel path on the travel distance were considered in GP model. The proposed GP model was verified and compared against six previous models using 15 channelized rock avalanche events induced by Wenchuan earthquake in Tuojiang River Basin. The proposed GP model shows significant improvement in estimating CRATD. In view of the limited number of channelized rock avalanche events, the application range of the proposed GP model is suggested. In conclusion, the proposed GP model could play a beneficial role in related disaster prevention and land management.
ACL1-HD-Zip IV complex revealed common mechanism in rice response to brown planthopper and drought
Authors: Shi Zhenying , Tao Zhihuan , Zhu Lin , Li Haichao , Sun Bo , Liu Xue , Li Dayong , Hu Wen-Li , Wang Shan-Shan , miao xuexia 
Published: January 2024

Abstract

Brown planthopper (BPH) is the most notorious insect pest to rice. Drought is the most commonly occurring global adversity. BPH infestation caused adaxially-rolled leaves and shrunk bulliform cells similar to drought. The bulliform-cell characteristic gene, ACL1, negatively regulated BPH resistance and drought tolerance, with decreased cuticular wax in ACL1-D, which resulted in quicker water losing. ACL1 was specifically expressed in epidermis. TurboID system and various biochemical assays revealed that ACL1 interacted with the epidermal-characteristic HD-Zip IV ROCs. ROC4 and ROC5 positively regulated BPH resistance and drought tolerance through modulating cuticular wax and bulliform cells respectively. Overexpression of ROC4 and ROC5 both rescued ACL1-D in various related phenotypes simultaneously. Moreover, ACL1 competed with ROC4 and ROC5 in homo-dimerization and hetero-dimerization. Altogether, we illustrated that ACL1-ROCs complex synergistically mediate drought tolerance and BPH resistance through regulating cuticular wax and bulliform cells in rice, a new mechanism which might facilitate BPH resistance breeding.
A systematic review and meta-analysis of systemic corticosteroids for the palliation of dyspnea in patients with cancer
Authors: Suzuki Kozue , Katayama Hideki , Kohara Hiroyuki , Matsuda Yoshinobu , Goya Sho , Kako Jun , Kasahara Yoko , Mori Masanori , Nakayama Takeo , Watanabe Hiroaki , Yamaguchi Takashi 
Published: January 2024

Abstract
Background
Almost half of all patients with cancer experience dyspnea, which can have various causes. Although systemic corticosteroids are administered to relieve symptoms, their efficacy has not been established. This systematic review aims to determine the efficacy of systemic corticosteroids for dyspnea in patients with cancer.
Methods
CENTRAL, MEDLINE, EMBASE, and Ichushi-Web databases were searched for articles published from their inception to September 23, 2019, on studies of systemic corticosteroid administration for dyspnea in patients with cancer. The primary outcome measure was dyspnea intensity, as assessed by patient-reported outcomes. Secondary outcome measures were quality of life, delirium, and severe adverse events.
Results
Two RCTs were included in the meta-analysis. With regard to alleviating dyspnea, the systematic corticosteroid group was associated with significantly greater dyspnea relief than was the placebo group [mean difference: -0.71 (95% CI: -1.4 to -0.03)]. However, a meta-analysis of quality of life and delirium could not be performed due to insufficient data. Analysis of severe adverse events showed no significant difference in their incidence between the corticosteroid and control groups [relative rate: 0.96 (95% CI: 0.19–4.93)].
Conclusions
Systemic corticosteroids may be effective in treating dyspnea in patients with cancer, particularly those with lung involvement. Limiting the conditions for which corticosteroids are approved is expected to promote their appropriate use and minimize their adverse effects. However, further investigation is needed to determine the appropriate dosage and the conditions in which corticosteroids are effective.
The association between socioeconomic status and use of the mobile app “TrainAwayPain” – a cross-sectional study
Authors: BUDTZ CECILIE RUD , Soelvsten Cecilie Marie Skovmose , Christiansen David Høyrup 
Published: January 2024

Abstract
Objective The objective of this study was to investigate the association between socioeconomic status and the use of the mobile app “TrainAwayPain”. The study furthermore examines whether use of the mobile app was modified by having it recommended by a general practitioner.
Methods In a cross-sectional study, we used data from the mobile app and register-based data (n = 12,557). Data from “TrainAwayPain” were linked to register-based data by individual civil registration numbers. Measurement of the use of the mobile app was based on log data and registered activity. The measurement of socioeconomic status was based on education level. Logistical analysis was performed to examine the association. Information on whether a participant had the mobile app recommended by a general practitioner was based on data from The National Health Insurance Service Registry. Statistical analysis reporting RRs was performed to examine if the association was modified by having the mobile app recommended by a general practitioner.
Results The study found an association between use of “TrainAwayPain” and socioeconomic status. A significant difference was observed among those who had a medium-long or high education, compared to those who had no education. There was not found a difference in use of “TrainAwayPain” by those who had the app recommended by a general practitioner.
Conclusion A significant association was found between the use of “TrainAwayPain” and socioeconomic status. The definition of the use of the app are however questionable and future studies should examine the association with a more precise definition of using the app.
Epidemiology and SARIMA model of death cases in a tertiary comprehensive hospital in Hangzhou from 2015 to 2022
Authors: Dai Jingyuan , Xiao Yun , Sheng Qionglian , Zhou Jing , Zhang Zhe 
Published: January 2024

Abstract

Background
The statistical analysis of death cases has important clinical research value. Our study aims to describe the epidemiology of death cases in a tertiary comprehensive hospital in Hangzhou from 2015 to 2022 and predict the number of future deaths, providing a reference basis for hospitals to formulate relevant strategies and measures.
Methods
Death data of inpatients and non-inpatients in the hospital from 2015 to 2022 were obtained through the CDC-DSP system. The data of death cases were described and analyzed by retrospective study, and the single factor difference was statistically inferred by χ2 tests. P < 0.05 was considered statistically significant. According to International Classification of Diseases 10th revision (ICD-10), the main causes of death of patients were obtained. SARIMA model was established by R 4.3.0 (forecast, aTSA, tseries) software for time series analysis.
Results
A total of 1938 death cases from 2015 to 2022, including 287 inpatients and 1651 non- inpatients. Among them, the highest was in 2022 (262, 13.52%), and the lowest was in 2019 (223, 11.51%). The gender ratio is 2.22:1, and there are differences (P < 0.05) between different genders in the age, marital status, educational level, and distribution of place of residence. The main cause of death were circulatory system diseases (32.66%), injury-poisoning (28.22%), tumors (14.76%), and respiratory system diseases (10.47%), with a cumulative proportion of 86.12%. Furthermore, the SARIMA (2,1,1)(1,1,1)12 model was ultimately determined to predict the number of deaths among patients, AIC = 380.23, BIC = 392.79, AICc = 381.81, MAPE = 14.99%.
Conclusions
The hospital should focus on improving the pre-hospital emergency treatment and the ability of multi-disciplinary cooperation in the hospital to reduce the number of deaths of hospital patients. the SARIMA model is suitable for predicting the number of death cases and provide reference value for the rational allocation of medical resources.
Intercellular aspirin hand-over with dual therapies by liposome-loaded monocytes
Authors: Sung Hak-Joon , Yu Seung Eun , Kim Jueun , Kim Dae-Hyun , Baek Sewoom , Park Suji , Chung Seyong 
Published: January 2024

Abstract
Cell-cell communication serves as a foundation concept of intercellular therapeutic hand-over. Despite the commonsense level of understanding, no clear projection has been made to prove the mechanism. Here, the hand-over of aspirin-liposomes from monocytes to inflamed cells is validated under high-resolution time series of 3D imaging in vitro with in vivo confirmation. As a significant value, caveolin is identified to play a major role in mediating the hand-over using cell receptors by super-resolution microscopy, which is induced by the overexpression of caveolin upon inflammation. When aspirin-liposomes are loaded to splenic monocytes, they naturally target inflamed sites efficiently because the spleen is a major site of liposomal clearance from the body in addition to monocyte residence to leave towards inflammatory signals. The delivery efficiency and anti-inflammatory effects of hand-over through intravenous injection are superior to oral injection of soluble aspirin as confirmed in the ischemic hindlimb and fatty liver of mice (targeted therapy). These results are also agreed by the anti-platelet effect in mouse blood over 7 days (prolonged therapy), and the combination of these therapeutic actions effectively rescues atherosclerotic carotid artery of mouse. This study proves the working mechanism of hand-over, suggesting a translational strategy to improve intercellular delivery.
Mouthwash Formulas for Xerostomia and Malodour
Authors: İNAL Ebrar , YAPAR Evren ALGIN , ERDAL Meryem Sedef , KARA Bilge Ahsen , YILMAZ Fatıma Nur , ÖZKANCA Cemre , DÖŞLER Sibel , KARTAL Murat 
Published: January 2024

Abstract
Xerostomia also known as dry mouth is often associated with bacterial malodour and oral-dental disorders. A successful treatment must provide oral hygiene and moisten the mouth. In this study, it was aimed to prepare mouthwash formulas using essential oils (1–6%), fixed oils and carboxymethyl cellulose that can meet both requirements. Citrus bergamia fruit peel oil, Cinnamomum zeylanicum leaf oil, Vitis vinifera L. and Corylus avellana L. seed oils was used as essential and fixed oils, which were analyzed by using GC-FD/MS. The organoleptic, pH, density, viscosity, antimicrobial activity, and cytotoxicity controls were conducted on the formulas. Stability studies were conducted in a stabilization cabinet at 25°C, 60%RH for 90 days, revealing that all formulations remained stable based on organoleptic assessments, pH, and density controls. Formulations containing 2% or more cinnamon oil exhibited antimicrobial activity against all investigated mouth pathogens (S. pyogenes, S. mutans, S. mitis, S. aureus, K. pneumonia, C. albicans) while formulations with 1–6% bergamot fruit peel oil displayed limited activity, proving ineffective against S. mitis. The most and the lowest cytotoxic formulations were respectively including 6% and 1% cinnamon oil (47,25% and 7,82%) while all the others were in acceptable range against gingival fibroblast cells. In conclusion, the formulation, comprising 2% cinnamon leaf oil, 2–4% hazelnut oil, and a 0.5% CMC solution, demonstrated successful physicochemical characterization with antimicrobial efficacy against all investigated mouth pathogens and exhibited acceptable safety in terms of cytotoxicity. This formulation holds promise for local treatment of xerostomia, malodor, and orodental infections.
Mechanism of cell killing activity of plantaricin LD1 against Escherichia coli ATCC 25922
Authors: Yadav Manoj Kumar , Tiwari Santosh Kumar 
Published: January 2024

Abstract

Plantaricin LD1 was purified from a putative probiotic Lactobacillus plantarum LD1 previously isolated from food. In this study, we have tested detailed mechanism of action against Escherichia coli ATCC 25922 considering Micrococcus luteus MTCC 106 as control. The plantaricin LD1 showed minimum inhibitory concentration (MIC) 34.57 µg/mL and minimum bactericidal concentration (MBC) 138.3 µg/mL against M. luteus MTCC 106 and MIC 69.15 µg/mL and MBC 276.6 µg/mL against E. coli ATCC 25922. The efflux of K+ ions, dissipation of membrane potential (∆ψ) and transmembrane pH gradient (∆pH) of plantaricin LD1-treated cells suggested the membrane-acting nature of plantaricin LD1. Plantaricin LD1 also caused degradation of genomic DNA of target strains tested. The cell killing was confirmed by staining with propidium iodide and visualizing under light and electron microscopes which were ruptured, smaller, swollen and elongated after treatment with plantaricin LD1. Thus, the findings in this paper indicates plantaricin LD1 kills E. coli ATCC 25922 by interacting with cell membrane resulting in efflux of intracellular contents and also caused degradation of nucleic acids leading to cell death.
Preoperative predictive factors for positive peritoneal cytology results in patients with pancreatic ductal adenocarcinomas: A retrospective study
Authors: Shimane Gaku , Nakano Yutaka , Kitago Minoru , Yagi Hiroshi , Abe Yuta , Hasegawa Yasushi , Soga Shigeyoshi , Okuda Shigeo , Ishii Ryota , Kitagawa Yuko 
Published: January 2024

Abstract
Background
The clinical importance of positive peritoneal cytology results in patients with pancreatic ductal adenocarcinomas remains controversial. We evaluated the prognosis of these patients and the predictive preoperative risk factors for positive peritoneal cytology results.
Methods
We retrospectively reviewed patients who underwent curative-intent surgery at our institution between May 2010 and June 2020. Preoperative risk factors for positive peritoneal cytology results were identified using logistic regression analysis. A scoring model was constructed using the total number of significant independent predictors for positive peritoneal cytology results.
Results
Of 233 patients, 18 (7.7%) had positive peritoneal cytology results. The recurrence-free survival and cancer-specific survival were markedly worse in patients with positive peritoneal cytology results than in those with negative peritoneal cytology results (recurrence-free survival: 6.0 months vs. 16.6 months, p = 0.050; cancer-specific survival: 19.4 months vs. 47.5 months, p = 0.034). Tumor location (odds ratio: 3.760, 95% confidence interval: 1.099–11.818, p = 0.023), tumor size > 25 mm (odds ratio: 3.410, 95% confidence interval: 1.031–11.277, p = 0.046), preoperative serosal invasion (odds ratio: 5.193, 95% confidence interval: 1.099–24.531, p = 0.038), and preoperative carcinoembryonic antigen level > 5.6 ng/mL (odds ratio: 3.816, 95% confidence interval: 1.248–10.667, p = 0.019) were identified as significant independent predictive factors. The optimal cutoff and positive predictive values of our predictive model for positive peritoneal cytology results were 3 and 27.9%, respectively.
Conclusions
The indications for curative-intent surgery should be carefully considered in patients with high-risk factors for positive peritoneal cytology results.
Harnessing Thermogel Actuation for Driving Directional Stromal Cell Communication and Migration into Columnar Arrays
Authors: Vernengo Andrea , Pylostomou Athanasia , Wychowaniec Jacek , Tognato Riccardo , Egger Sarah , Ursin Gion , Edwards-Gayle Charlotte , Weiser Jennifer , Loca Dagnija , Deste Matteo , Serra Tiziano 
Published: January 2024

Abstract
During developmental processes, cells frequently condense along a preferred axis, creating columnar arrangements—a pivotal step in shaping elongating tissue structures and facilitating gradual building of tissue complexity. Despite advances in biofabrication technology that has allowed researchers to recreate these axial arrangements in vitro in 3D culture, maintaining these patterns for periods of cultivation beyond 7 days has proven challenging, given cells' tendency to exhibit random migratory patterns. In this study, we introduce EXPECT (EXtrusion Patterned Embedded ConstruCTs), a thermosensitive hydrogel based on poly(N-isopropylacrylamide) designed with specific rheological properties enabling the creation of embedded, macroscopic, cell-laden channels within the hydrogel using 3D printing. EXPECT, coupled with mild temperature changes at regular intervals, suppressed the random migratory tendencies of mesenchymal stromal cells (MSCs), guiding the cells to laterally intercalate and aggregate longitudinally. This resulted in the formation of continuous stacked arrangements of MSCs sustained over 36 days of culture. Additionally, EXPECT led to the elongation of initially spaced MSC spheroids toward each other, culminating in their fusion into narrowed, columnar assemblies. Our study presents a versatile and readily applicable approach for orchestrating and maintaining cell communication and movements along a preferred axis outside the developmental niche. By addressing a key limitation in current in vitro 3D culture systems and inducing cell movements reminiscent of both convergent extension and directed chemotaxis, we present a novel tool for studying various facets of development, disease, and repair.
On-line surface defects detection of Engine blocks based on Improved CNN+GAN Networks
Authors: Zeng Zhilin , Qu Hao , Lv Jun , Du Zhengchun 
Published: January 2024

Abstract

In this paper, a machine vision system for surface defect detection on engine blocks in an engine manufacturing line is proposed. This system employs deep learning algorithms to address the issues of high defect omission rate, high false alarm rate, and slow detection speed in the current inspection process. Specifically, an improved pix2pix GAN model is proposed by introducing a ResNet network to improve the feature expression capability and generate images with lower Frechet Inception Distance (FID) score. Furthermore, the generated images are used to augment the training dataset and combined with the YOLOv5 CNN network to enhance the training effect on small sample data. This method is compared with Faster-RCNN and SSD detection networks to validate its superiority in defect recognition performance. Experiments show that the proposed system achieves higher accuracy and robustness, with an average recognition accuracy of 98.4% and a detection time less than 0.5 seconds per image. The system has been applied in the actual production line and achieved good performance, demonstrating its feasibility and potential for practical use in the manufacturing industry.