bluuebunny/crossref_metadata_2025_split huggingface dataset:
A risk analysis of alpelisib-induced hyperglycemia in patients with advanced solid tumors and breast cancer
Authors: Rodón Jordi , Demanse David , Rugo Hope S. , Burris Howard A. , Simó Rafael , Farooki Azeez , Wellons Melissa F. , André Fabrice , Hu Huilin , Vuina Dragica , Quadt Cornelia , Juric Dejan 
Published: September 2023

Abstract
Background: Hyperglycemia is an on-target effect of PI3Kα inhibitors. Early identification and intervention of treatment-induced hyperglycemia is important for improving management of patients receiving a PI3Kα inhibitor like alpelisib. Here we characterize early grade 3/4 alpelisib-related hyperglycemia, along with associated incidence, management, and outcomes using a machine learning model.
Methods: Data for the risk model were pooled from patients receiving alpelisib ± fulvestrant in the open-label, phase 1 X2101 trial and the randomized, double-blind, phase 3 SOLAR-1 trial. The pooled population (n=505) included patients with advanced solid tumors (X2101, n=221) or HR+/HER2− advanced breast cancer (SOLAR-1, n=284). External validation was performed using BYLieve trial patient data (n=340). Hyperglycemia incidence and management were analyzed for SOLAR-1.
Results: A random forest model identified 5 baseline characteristics most associated with risk of developing grade 3/4 hyperglycemia (fasting plasma glucose, body mass index, HbA1c, monocytes, age). This model was used to derive a score to classify patients as high or low risk for developing grade 3/4 hyperglycemia. Applying the model to patients treated with alpelisib and fulvestrant in SOLAR-1 showed higher incidence of hyperglycemia (all grade and grade 3/4), increased use of antihyperglycemic medications, and more discontinuations due to hyperglycemia (16.7% vs 2.6% of discontinuations) in the high- vs low-risk group. Among patients in SOLAR-1 (alpelisib + fulvestrant arm) with PIK3CA mutations, median progression-free survival was similar between the high- and low-risk groups (11.0 vs 10.9 months). For external validation, the model was applied to the BYLieve trial, for which successful classification into high- and low-risk groups with shorter time to grade 3/4 hyperglycemia in the high-risk group was observed.
Conclusions: A risk model using 5 clinically relevant baseline characteristics was able to identify patients at higher or lower probability for developing alpelisib-induced hyperglycemia. Early identification of patients who may be at higher risk for hyperglycemia may improve management (including monitoring and early intervention) and potentially lead to improved outcomes.
Registration: ClinicalTrials.gov: NCT01219699 (registration date: October 13, 2010; retrospectively registered), ClinicalTrials.gov: NCT02437318 (registration date: May 7, 2015); ClinicalTrials.gov: NCT03056755 (registration date: February 17, 2017)
Computational Discovery of Fast Interstitial Oxygen Conductors
Authors: Morgan Dane , Meng Jun , Sheikh Md Sariful , Jacobs Ryan , Liu Jian , Nachlas William , Li Xiangguo 
Published: September 2023

Abstract

New highly oxygen-active materials may enhance many energy-related technologies by enabling efficient oxygen-ion transport at lower temperatures, e.g., below ≈400 ˚C. Interstitial oxygen conductors have the potential to realize such performance but have received far less attention than vacancy-mediated conductors. Here, we combine physically-motivated structure and property descriptors, ab initio simulations, and experiments to demonstrate an approach to discover new fast interstitial oxygen conductors. Multiple new families were found which adopt completely different structures from known oxygen conductors. From these families, we synthesized and studied oxygen kinetics in La4Mn5Si4O22+𝜹(LMS), a representative member of perrierite/chevkinite family. We found LMS has higher oxygen ionic conductivity than the widely used yttria-stabilized ZrO2, and among the highest surface oxygen exchange rates at intermediate temperature of known materials. The fast oxygen kinetics is the result of simultaneously active interstitial and interstitialcy diffusion pathways. This work developed and demonstrated a powerful approach for discovering new families of interstitial oxygen conductors and suggests many more such materials remain to be discovered.
The Malnutrition in AECOPD and Its Association with Unfavorable Outcomes by Comparing PNI, GNRI with the GLIM Criteria: A Retrospective Cohort Study
Authors: Zhang Xueyang , Wang Yu , Cheng Zhe , Xu Minmin , Zhang Yuanyi , Lyu Quanjun 
Published: September 2023

Abstract
Prognostic Nutritional Index (PNI) in identifying malnutrition and predicting prognosis in AECOPD patients.
Design: Retrospective cohort study
Setting and participants: The research encompassed a cohort of 839 individuals aged 60 years and above, who were admitted to the First Affiliated Hospital of Zhengzhou University during the period spanning January 2022 to December 2022, owing to acute exacerbation of chronic obstructive pulmonary disease (AECOPD).
Methods: From January 2022 to December 2022, a consecutive inclusion of AECOPD patients admitted to the First Affiliated Hospital of Zhengzhou University was conducted. The Global Leadership Initiative on Malnutrition (GLIM) defined malnutrition was detected by calculating the GNRI and the PNI using Receiver Operating Characteristic curves. Logistic regression analysis was employed to assess the risks associated with length of stay (LOS), hospitalization costs, and Charlson Comorbidity Index (CCI) based on GLIM, GNRI, or PNI.
Results: A total of 839 AECOPD patients were investigated in the study. The GNRI and PNI demonstrated a sensitivity of 89.5% and 74.1%, specificity of 77.2% and 66.4%, and an area under the curve of 0.834 and 0.702, respectively. The identification of high malnutrition-risk cases using the GLIM, GNRI and PNI were associated with a significant increase in the risk of LOS over 7 days [odds ratio (95% CI for GLIM, GNRI, PNI: 1.376 (1.033-1.833); 1.405 (1.070-1.846); 1.875 (1.425-2.468)] and higher hospitalization expenses [OR (95% CI) for GLIM, GNRI: 1.498 (1.080-2.080) ;1.510 (1.097-2.079)], but not with the CCI.
Conclusion: The utilization of GNRI and PNI as alternatives to GLIM in the context of AECOPD enables the identification of malnutrition. The presence of malnourished individuals experiencing AECOPD is correlated with heightened probabilities of extended hospital stays and escalated hospitalization costs.
Overcoming underfill defect with undermatching filler and establishing new acceptance criteria for underfill depth in laser beam welding of ultra-high strength steels
Authors: Lee Yoona , Park Sanghyeon , Seon Jeongan , Han Haksoo , Lee Kwanghyeon , Kang Namhyun 
Published: September 2023

Abstract
This study investigated the laser-beam-weld geometry and tensile properties under various butt-joint gap conditions for 2.3-mm thick ultra-high strength steels (UHSSs) as function of the use of undermatching filler. An undermatching filler wire having a yield strength of 430 MPa was used to overcome the underfill. Without the filler, the tensile properties were acceptable under a gap of up to 0.2 mm, which is less than 10% of the base metal (BM) thickness. With the filler, the gap tolerance increased to 0.5 mm, and the undermatching filler was proven to overcome the underfill issue. The underfill-depth acceptance criterion for realising good tensile properties was defined as 0.39 mm (= 17% of UHSSs’ thickness), which was significantly higher than the currently defined American Welding Society specification (7% of UHSSs’ thickness). These optimisation criteria can be used as guidelines for the butt joints of laser beam welding in UHSSs.
Multiregional transcriptomics identifies congruent consensus molecular subtypes with prognostic value beyond tumor heterogeneity in colorectal cancer.
Authors: Sveen Anita , Langerud Jonas , Eilertsen Ina , Moosavi Seyed , Klokkerud Solveig , Backe Ingeborg , Hektoen Merete , Sjo Ole , Jeanmougin Marine , Tejpar Sabine , Nesbakken Arild , Lothe Ragnhild 
Published: September 2023

Abstract

Intra-tumor heterogeneity compromises the clinical value of transcriptomic classifications of colorectal cancer. We investigated the prognostic effect of transcriptomic heterogeneity and the potential for a classification less vulnerable to heterogeneity in a single-hospital series of 1,093 primary and metastatic tumor samples from 692 patients, including 2–4 multiregional samples from 98 primary tumors and primary-metastasis sets from 35 patients. Intra-tumor heterogeneity of the consensus molecular subtypes (CMS) was frequent (40%) and associated with poor patient survival independently of tumor microenvironment markers. Multiregional transcriptomics uncovered cancer cell-intrinsic and low-heterogeneity signals that recapitulated the two intrinsic subtypes (iCMS2/iCMS3) proposed by single-cell sequencing. Further subclassification resulted in four congruent CMSs defining good-prognostic and poor-prognostic subtypes. Congruent CMS explained a larger proportion of variation in patient survival than intra-tumor CMS heterogeneity. Evidence of plasticity was found by discordant phenotypes of matched primary and metastatic tumors (28%), even according to the two-state intrinsic classification. In conclusion, multiregional sampling reconciled the prognostic power of tumor classifications from single-cell and bulk transcriptomics in the context of intra-tumor heterogeneity, and phenotypic plasticity challenges the reconciliation of primary and metastatic subtypes.
Electrochemical Kinetic Energy Harvesting Mediated by Ion Solvation Switching in Two-Immiscible Liquid Electrolyte
Authors: Lee Seok Woo , Lee Donghoon , Song You-Yeob , Wu Angyin , Li Jia , Yun Jeonghun , Seo Dong-Hwa 
Published: September 2023

Abstract

The potential of kinetic energy harvesting is highly promising; however, current existing methods, such as those based on friction and deformation, necessitate high-frequency kinetic energy and demand materials with exceptional durability. We report a new two-phase immiscible liquid electrolyte system comprising identical Prussian blue analogue electrodes for the electrochemical kinetic energy harvesting accommodating low-frequency kinetic input. This system demonstrates the electrochemical conversion of translational kinetic energy, associated with the displacement of electrodes across different electrolyte phases, into electrical energy. The system generated 6.4 μW cm-2 of peak electrical power, accompanied by 96 mV of peak voltage and 183 μA cm-2 of peak current density when connected to a load resistor of 300 Ω. The load is several thousand times smaller than those typically employed in conventional methods. Moreover, the proposed method supplied a continuous current flow of approximately 5 μA cm-2 at the frequency of 0.005 Hz for 23 cycles without performance decay. The disparity in solvation Gibbs free energy from the two-phase electrolyte, arising from the removal and subsequent re-establishment of solvation shells surrounding solvated cations, acts as the driving for both voltage and electron flow within the system. Furthermore, we successfully demonstrated the operational functionality of our system in a microfluidic harvester. By harnessing the conversion of kinetic energy to propel the electrolyte through the microfluidic channel, our system achieved a peak power density of 200 nW cm-2. We believe that the microfluidic harvester possesses the potential to provide power supply solutions for various applications, including environmental monitoring sensors and Internet-of-Thing (IoT) devices.
Enhancing Level Set-Based Topology Optimization of Geometrically Nonlinear Structures with Consideration of Thermal-Mechanical Coupling Effects
Authors: Wang Sujun , Xu An , Zheng Qingxing , Zhao Ruohong 
Published: September 2023

Abstract
This paper presents an innovative approach to topology optimization of geometrically nonlinear structures considering the effects of thermal-mechanical couplings. Through geometric nonlinear finite element analysis, an expression for element coupling stress is derived, capturing the combined influence of mechanical and thermal loading. A topological model is then developed, aiming to minimize compliance while meeting displacement and frequency constraints to fulfill design requirements. To overcome convergence instability caused by large deformations, a novel Lagrange multiplier search method is proposed. Additionally, the method is extended to handle multi-constrained geometrically nonlinear topology optimization designs incorporating multiple physical field couplings. The proposed approach enhances the field of topology optimization by providing an effective solution for geometrically nonlinear behavior and thermal-mechanical couplings.
“Printing” on Polymer Single Crystals
Authors: Wu Tianyu , Ye Haimu , Pan Xinyi , He Yaning , Xu Jun , REITER Günter 
Published: September 2023

Abstract
Polymer single crystals are composed of well-ordered polymer chains and possess a characteristic symmetric shape. If one can precisely control the microregional morphology, polymer single crystals have the potential to be used as functional templates for applications like information storage or cell culture. However, with current experimental approaches, it is rather difficult to generate predictable structures of defined size within polymer single crystals. Here, we propose a novel research strategy based on a combination of fluorescence labeling and microregional heating by irradiation with focused red light. This approach enabled us to locally heat single crystals while simultaneously following the thereby induced changes via fluorescence imaging with a micrometer lateral resolution. We found that polymers diffused out of the heated region within a stacked single crystal and thereby produced a hole at the irradiated location. Our results revealed a competition of mechanisms of local melting and the generation of higher stacks of crystalline lamellae by recrystallization at the periphery of the molten region.
Effectiveness of the think-aloud approach combined with case-based learning on nursing teaching rounds for Chinese new nurses in a cancer hospital
Authors: Zhao Rui , Ding Ting Ting , Meng Jin Ping , Lei Miao , Ma Huili , Xu XiaoXia 
Published: September 2023

Abstract
Background
With the increasing prevalence of cancer, more clinical nurses are needed. However, the process of changing from being nursing students to working as new nurses is challenging. This study aimed to explore the effectiveness of the think-aloud approach combined with case-based learning in teaching rounds for new nurses to provide guidance for training programs in cancer hospitals.
Methods
Convenience sampling was applied to new nurses in a Chinese provincial third-level first-class cancer hospital from 2020 to 2021. A total of 98 participants were recruited, 50 of whom were recruited in 2020 as the control group and 48 in 2021 as the observation group. Each rotation department conducted six nursing teaching rounds in weeks 1, 3, 5, 7, 9, and 11. The approach to teaching rounds in the observation group was think-aloud combined with case-based learning while, in the control group, only case-based learning was applied. The differences in case analysis assessment scores and critical thinking abilities between the two groups were compared, and the learning strategies and nurses' feedback in the observation group were analysed.
Results
The scores for both case analysis and critical thinking ability were significantly lower in the control group than in the observation group (P < 0.05). The frequency of learning strategies applied in the observation group, from high to low, was as follows: cognitive, metacognitive, and social/emotional strategies.
Conclusions
Application of the think-aloud approach combined with case-based learning to nursing teaching rounds resulted in a significant improvement in the training effect and critical thinking ability of new nurses, thus providing a basis for improving teaching methods in cancer hospitals.
Lipid mediator profiling of serum in children with H1N1 infection
Authors: Chen Weijun , Gu Yitao , Ma Yongjun , Dong Lele , Pan Liangxuan , Ji Chai , Guo Lanlan , Qi Lianxin , Zhang Yuanyuan , Gao Fei 
Published: September 2023

Abstract
H1N1 virus can cause severe acute respiratory distress syndrome, and death in young children and the elderly. The H1N1 infection initiates the inflammatory responses that are directed toward containment and elimination of microbial invaders. Because various lipid mediators (LMs) are biosynthesized and play a critical role in fighting against the virus during inflammation, profiling the LMs in patients may uncover the disrupted pathways and reveal mechanistical insights of diseases. To date, little is known about the LM molecular alterations and pathogenesis of H1N1 in children. Here, we employed a targeted LC-MS/MS platform to map serum LM profiles from children with H1N1 and after recovery. We found that 22 LM species have changed in H1N1 children with mild symptoms. Analysis of LM profiles of children with recovery revealed that the level of 12 altered LM species in H1N1 infection were partially restored, including cytochrome P450 (CYP) enzyme-derived DIHETEs and HETEs from AA, and EpOMEs from LA, whereas PGs are decreased. Taken together, this study established a link between serum lipid mediators and H1N1 infection in children with mild symptoms. The LM species dramatically altered in H1N1-children could serve as potential therapeutics or adjuvants against H1N1 influenza.
Sentiment Analysis and Topic Modeling of Social Media Data to Understand the Response of Indonesian Public regarding the Enforcement of the Lockdown Policy during Covid-19-Pandemic
Authors: Alkhnbashi Omer , Andriansyah Andriansyah , Hudaifah Hudaifah 
Published: September 2023

Abstract
The COVID-19 pandemic has caused significant disruption in many areas worldwide, and communication via social media has
extensively increased as a result of social distance and lockdown. This study analyses social media data to investigate the reaction
of the Indonesian public regarding the government's policy of lockdown implementation measures in response to the Covid-19
outbreak. The sentiment analysis and topic modeling were performed based on the corpus collected from twitter database using
keyword “PPKM” as the term used for public activity restriction during the year 2020 in Indonesia. The sentiment trend analysis
revealed a prominent dominance of negative tweets throughout the entire period under examination. Extensive increase in the
volume of tweets after the 23rd week of lockdown indicates a prevailing a massive dissatisfaction and frustration among the
Indonesian public due to lockdown. Several intriguing insights have been revealed by the analysis of hashtags and most popular
terms. Topic modeling carry out in this study successfully facilitated the identification of alterations in the topics that were being
discussed by the Indonesian citizen concerning the enforcement of the lockdown.
Systematic study on the variability in the gasoline sampling process at service stations and its contribution to the measurement variance
Authors: González-Hernández Jerson , Fuentes-Schweizer Paola 
Published: September 2023

Abstract
A full factorial experimental design (2^4) was performed to study the impact of the sampling and handling processes on the analysis of gasoline samples. Four independent variables were selected based on the most critical parameters to control during sampling. Vapor pressure determination and distillation curve were chosen as response variables, and the data collected were assessed by analysis of variance as a statistical approach. There were statistically significant differences related to the sample container's material and the sample's storage time in the laboratory before the analysis. Also, the measurement variance was estimated at 0.11 from the contributions of the variance of the sampling process and the variance of the analysis process considering vapor pressure results (kPa), which allows the evaluation and control of the random error associated with the sampling process.
Neoadjuvant therapy could improve survival outcomes of locally advanced biliary tract cancer by increasing opportunities for curative resection: a systematic review and meta-analysis
Authors: Fu Jialu , Zhang Rui , Zhang Dong , Geng Zhimin 
Published: September 2023

Abstract
Background
Neoadjuvant therapy (NAT) has been proposed as one of the promising treatment alternatives for biliary tract cancer (BTC). We report a systematic review and meta-analysis to determine the impact of NAT on survival of BTC patients.
Methods
We included studies evaluating neoadjuvant therapy (NAT) for BTC patients published before October 2020. Published data were extracted and computed into hazard ratios (HRs) for overall survival (OS). Subgroup analyses of benefit based on tumor subtypes and treatment modalities were specified. Data were weighted by generic inverse variance and pooled using fixed-effect or random-effect model.
Results
16 studies involving 2512 patients were included in the systematic review. Single arm meta-analysis showed a pooled clinical benefit rate (CBR) of 72.86% and a curative resection rate of 37.73%. 9 studies comparing the survival of patients receiving NAT followed by curative resection (group 1) and patients receiving upfront curative resection (group 2) were included in the meta-analysis. Though patients receiving NAT were more progressive in tumor stages, there was no difference in OS between the two groups (pooled HR = 1.21; 95% CI: 0.86–1.70; P = 0.28). Intrahepatic cholangiocarcinoma (ICC) patients in the neoadjuvant group seemed to have a worse survival outcome compared to upfront curative resection group (pooled HR = 1.39; 95% CI: 1.08–1.80; P = 0.01) while extrahepatic cholangiocarcinoma (ECC) patients presented with a better survival outcome (pooled HR = 0.77; 95% CI: 0.43–1.37; P = 0.37). Those receiving NACRT (pooled HR = 0.63; 95% CI: 0.33–1.19; P = 0.16) derived greater benefit than NACT (pooled HR = 1.70; 95% CI: 1.23–2.35; P < 0.01).
Conclusion
For patients with non-metastatic locally advanced BTC, NAT could improve survival outcomes by increasing opportunities for curative resection to obtain a similar prognosis compared to those with initially resectable disease.
Modelling Impact of Urban Expansion on Fringe Farmlands by Using GIS and Remote Sensing Techniques: The Case of Wukro Town, Tigray Region, Northern Ethiopia
Authors: Hagos fikre 
Published: September 2023

Abstract
Urban expansion is a spatial phenomenon that was indicates population growth, economic expansion, the importance of life on town/ city etc. The use of current and historical data in urban expansion analysis is necessary in urban spatially and temporally using remotely sensed data, GIS and statistical relative data’s. Four Landsat images (i.e. 1985, 1995, 2005, and 2015) TM, ETM+, and OLI sensors data used to determine urban expansion land use change The images were classified using ERDAS Imagen Maximum Likelihood supervised classification technique. The LULC classified into Built-up area, cultivated lands, Plantation, Rivers and Shrub land. The overall classification accuracy was 86.0% for 1985, 86.4% for 1995, 87.32% for 2005 and 89.32% for 2015. To demonstrate the reliability of the MOLUSEC QGIS model were implemented to analysis an urban expansion trends, urban expansion simulated process sand pattern in the study area .the obtained results provide a good rules for Modeling urban expansion process, understanding urbanization contributing factors and predicting the future patterns. Furthermore, the resulting the current paper to be used for decision makers and urban planners to identify past and present urban expansion trends to prepared for the future urban demands. Finally, using the same model the urban expansion will simulated for 2025. Accordingly, the built-up area of town predicted to be 585ha for 2025.