bluuebunny/crossref_metadata_2025_split huggingface dataset:
High‐Resolution Broadband Lg Attenuation Structure of the Anatolian Crust and Its Implications for Mantle Upwelling and Plateau Uplift
Authors: Zhu Wei‐Mou , Zhao Lian‐Feng , Xie Xiao‐Bi , He Xi , Zhang Lei , Yao Zhen‐Xing 
Published: March 2023

AbstractThe Anatolian Plateau, currently experiencing rapid uplift and westward escape, records both the termination of oceanic subduction and the conversion to continental collision. The crustal response to the transition of the subduction environment from eastern to western Anatolia can be inferred by the seismic velocity and attenuation structures. With this study, we construct a broadband Lg‐wave attenuation model for the Anatolian Plateau and use it to constrain lateral crust heterogeneities linked to this transition. Crustal Lg attenuation links late Cenozoic magmatism with asthenospheric upwelling by characterizing the lithospheric thermal structure. The widely distributed strong attenuation observed in eastern Anatolia may be related to the crustal partial melting due to mantle upwelling after the delamination and subsequent break‐off of the Bitlis slab. Lithospheric dripping in central Anatolia likely facilitates the mantle flows through the window between the Cyprus and Aegean slabs, which results in the piecemeal low anomaly in central Anatolia.
METTL3 enhances pancreatic ductal adenocarcinoma progression and gemcitabine resistance through modifying DDX23 mRNA N6 adenosine methylation
Authors: Lin Chengjie , Li Ting , Wang Yan , Lai Shihui , Huang Yue , Guo Zhenyun , Zhang Xiang , Weng Shangeng 
Published: March 2023

AbstractThe aim of the present study was to clarify the mechanism of how METTL3 regulated pancreatic ductal adenocarcinoma (PDAC) progression by m6A modification of its downstream target mRNA and signaling pathway. Immunoblotting and qRT-PCR assays was employed to determine the expression levels of METTL3. In situ fluorescence hybridization was conducted to localize the cellular distribution of METTL3 and DEAD-box helicase 23 (DDX23). CCK8, colony formation, EDU incorporation, TUNEL, wound healing and Transwell assays were carried out accordingly to study the viability, proliferation, apoptosis, and mobility of cells under different treatments in vitro. Xenograft and animal lung metastasis experiments were also conducted to study the functional role of METTL3 or DDX23 on tumor growth and lung metastasis in vivo. MeRIP-qPCR and bioinformatical analyses were used to obtain the potential direct targets of METTL3. It was shown that m6A methyltransferase METTL3 was upregulated in PDAC tissues with gemcitabine resistance, and its knockdown sensitized pancreatic cancer cells to chemotherapy. Furthermore, silencing METTL3 remarkably reduced pancreatic cancer cell proliferation, migration, and invasion both in vitro and in vivo. Mechanistically, validation experiments confirmed thatDDX23mRNA was a direct target of METTL3 in YTHDF1-dependent manner. Additionally, DDX23 silence resulted in the suppression of pancreatic cancer cell malignancy and PIAK/Akt signaling inactivation. Strikingly, rescuse experiments demonstrated the inhibitive effects of METTL3 silence on cell phenotypes and gemcitabine resistance were partially reversed by forcibly expressed DDX23. In summary, METTL3 promotes PDAC progression and gemcitabine resistance by modifying DDX23 mRNA m6A methylation and enhancing PI3K/Akt signaling activation. Our findings establish a potential tumor promotive and chemo-resistant role for METTL3/DDX23 axis in PDAC.
Development and validation of a risk prediction model for diabetic retinopathy in type 2 diabetic patients
Authors: Zhu Chengjun , Zhu Jiaxi , Wang Lei , Xiong Shizheng , Zou Yijian , Huang Jing , Xie Huimin , Zhang Wenye , Wu Huiqun , Liu Yun 
Published: March 2023

AbstractTo establish a risk prediction model and make individualized assessment for the susceptible diabetic retinopathy (DR) population in type 2 diabetic mellitus (T2DM) patients. According to the retrieval strategy, inclusion and exclusion criteria, the relevant meta-analyses on DR risk factors were searched and evaluated. The pooled odds ratio (OR) or relative risk (RR) of each risk factor was obtained and calculated for β coefficients using logistic regression (LR) model. Besides, an electronic patient-reported outcome questionnaire was developed and 60 cases of DR and non-DR T2DM patients were investigated to validate the developed model. Receiver operating characteristic curve (ROC) was drawn to verify the prediction accuracy of the model. After retrieving, eight meta-analyses with a total of 15,654 cases and 12 risk factors associated with the onset of DR in T2DM, including weight loss surgery, myopia, lipid-lowing drugs, intensive glucose control, course of T2DM, glycated hemoglobin (HbA1c), fasting plasma glucose, hypertension, gender, insulin treatment, residence, and smoking were included for LR modeling. These factors, followed by the respective β coefficient was bariatric surgery (− 0.942), myopia (− 0.357), lipid-lowering drug follow-up < 3y (− 0.994), lipid-lowering drug follow-up > 3y (− 0.223), course of T2DM (0.174), HbA1c (0.372), fasting plasma glucose (0.223), insulin therapy (0.688), rural residence (0.199), smoking (− 0.083), hypertension (0.405), male (0.548), intensive glycemic control (− 0.400) with constant term α (− 0.949) in the constructed model. The area under receiver operating characteristic curve (AUC) of the model in the external validation was 0.912. An application was presented as an example of use. In conclusion, the risk prediction model of DR is developed, which makes individualized assessment for the susceptible DR population feasible and needs to be further verified with large sample size application.
Effect of adding nano-materials on the properties of hydroxypropyl methylcellulose (HPMC) edible films
Authors: Khater El-Sayed , Bahnasawy Adel , Gabal Basma Abu , Abbas Wael , Morsy Osama 
Published: March 2023

AbstractThe bio-composite films based on Hydroxypropyl methylcellulose (HPMC) reinforced with silver nanoparticles (AgNPs) and Titanium oxide nanoparticles (TiO2-NPs) were developed. Some physical and mechanical properties: Tensile strength (TS), elongation (E), Young’s elastic modulus (EM), water vapor permeability (WVP) and transparency were determined. Antibacterial properties of these films were also studied. The tensile strength values of HPMC film reinforced with Ag NPs and TiO2-NPs and HPMC without nanoparticles were 39.24, 143.87 and 157.92 MPa, respectively. Elongation of the HMPC film was less than the HPMC film reinforced with AgNPs and TiO2-NPs, the results were 2, 35 and 42%, respectively. Additionally, Young’s elastic modulus of HMPC film was determined to be 19.62 MPa and the HPMC film reinforced with AgNPs and TiO2-NPs were 4.11 and 3.76 MPa, respectively. The values of WVP of HMPC film was higher than the HMPC film reinforced with AgNPs and TiO2-NPs, where they were 0.5076 × 10−3, 0.4596 × 10−3and 0.4504 × 10−3(g/msPa), respectively. Nano-composite films demonstrated strong antibacterial activity against tested pathogen bacteria in the contact surface zone. The antibacterial activites of AgNPs (~ 10 nm) at 80 ppm were more active than 20 and 40 ppm against foodborne pathogen i.e.Bacillus cereusandEscherichia coli, the inhibition zone diameters were 9 and 10 mm, respectively. As well, TiO2-NPs (~ 50 nm) at 80 ppm were more active than 20 and 40 ppm againstB. cereusandSalmonella Typhimurium, the inhibition zone diameters were11 and 10 mm, respectively.
High‐angular‐ and range‐resolution imaging using MIMO sonar with two‐dimensional deconvolution
Authors: Liu Xionghou , Yang Yixin , Sun Chao , Zhuo Jie , Wang Yiwei , Zhai Qingyue 
Published: March 2023

AbstractA real‐aperture high‐resolution imaging method utilising a multiple‐input multiple‐output (MIMO) sonar with two‐dimensional (2‐D) deconvolution processing is proposed. Via derivation, the authors show that the conventional beamformer (CBF) output of the MIMO sonar can be approximately expressed as the 2‐D convolution between the original angular and range distributions of scatterers and a 2‐D point spread function (PSF). Hence, to improve the imaging performance degraded by the convolution effect, the 2‐D Richardson‐Lucy (R‐L) algorithm is used to deconvolve the CBF output of the MIMO sonar. Specifically, the authors give the iteration formula of the 2‐D R‐L algorithm attached to the MIMO sonar, and take the absolute values of the CBF outputs of the virtual array as the deconvolution inputs. The analytical expression of the 2‐D PSF is also given, which is designed as the angular‐ and range‐domain (amplitude) responses of a far‐field ideal scatterer located in the normal direction of the virtual array. Meanwhile, the authors point out that the mismatch made by the approximation may degrade the imaging performance, and suggest that a small number of iterations in the 2‐D R‐L algorithm can be used to alleviate the mismatch problem. Via numerical simulations and a tank experiment, the authors show that the proposed method can simultaneously increase the angular and range resolutions and suppress the sidelobes, when compared to the existing MIMO sonar imaging method.
Gut gedacht = gut gemacht?
Authors: Lukuc Sarah , Roßius Sabrina 
Published: March 2023

ZusammenfassungDie Regierungskommission macht umfangreiche Vorschläge, um Änderungen im System anzustoßen und eine Verbesserung der Patientenversorgung, der Arbeitssituation und der Finanzierung zu erreichen. Unsere Autorinnen haben sich intensiv mit den geplanten Neuerungen beschäftigt und ziehen ein insgesamt positives Resümee. Lesen Sie im Artikel mehr dazu und warum die Pflege durch die Reform aufgewertet werden könnte.
Micro Computed Tomography and Immunohistochemistry Analysis of Dental Implant Osseointegration in Animal Experimental Model: A Scoping Review
Authors: Putri Annisa , Pramanik Farina , Azhari Azhari 
Published: March 2023

AbstractOsseointegration is a complex process that involves the interaction of dental implants, bone, and the immune system. Preclinical testing was carried out to develop a better understanding of the mechanism. Micro-computed tomography (micro-CT) imaging techniques and immunohistochemistry are excellent tools for this objective as both enable quantitative assessment of bone microarchitecture and intercellular interaction. An extensive literature search was conducted using the databases PubMed, Science Direct, Wiley Online, Proquest and Ebscohost from January 2011 to January 2021. Among the publications retrieved, the rat model was the most frequently used experimental protocol, with the tibia being the most frequently implanted site. The region of interest demonstrates a high degree of homogeneity as measured by trabecula but varies in size and shape. The most frequently mentioned micro-CT bone parameter and immunohistochemistry bone markers were bone volume per total volume (BV/TV) and runt-related transcription factors (RUNX). Animal models, micro-CT analysis methods, and immunohistochemistry biomarkers yielded a variety of results in the studies. Understanding bone architecture and the remodeling process will aid in the selection of a viable model for a specific research topic.
Population anxieties in constituting Nordic welfare state futures: affective biopolitics in the age of environmental crises
Authors: Homanen Riikka , Meskus Mianna 
Published: March 2023

AbstractDeclining fertility rates across world have generated deep concern among different stakeholders. In 2019, Finland’s fertility rate was at an ‘ultra-low’ 1.35 children per woman. Investigating the affective work of policymaking on population issues—‘population anxieties’—in a Nordic welfare state, this article constructs a genealogy of the affective biopolitics of populations in Finland. Drawing from a corpus of historical and recent materials, the article explores how population policy has invited and harnessed emotional orientation towards certain collective futures, while being disclosive of others. The analysis focuses on the issues of ‘fertility decline’ and ‘the environment’, and the reconfigurations of the population–environment nexus over the past decades. The article argues that persistent concerns about depopulation through ultra-low fertility underlie the affective stakes of Nordic biopolitics. Meanwhile, there is evident resistance to connecting population policy concerns with the climate crisis in the Nordic context. While in the so-called developing countries, demographic and ecological futures are seen mutually constitutive, the connection is not perceived as relevant to the Finnish welfare state. This is so despite Finland belonging to the affluent part of the world that is the largest producer of carbon dioxide emissions.
Entanglement islands, fire walls and state paradox from quantum teleportation and entanglement swapping
Authors: Wang Xuanhua , Zhang Kun , Wang Jin 
Published: March 2023

Abstract
Recent discovery of the fine-grained entropy formula in gravity succeeded in reconstructing the Page curves that are compatible with unitary evolution. The formula of generalized entropy derived from the gravitational path integration, nevertheless, does not provide a concrete insight on how information comes out from a black hole. In this paper, we start from a qubit model and provide a quantum informational interpretation of entanglement islands. We propose an identification of entanglement islands with quantum measurements and remark on the parallel between the black hole information problem and the old problem of quantum measurements. We show that the Page curve can still be realized even if information is lost so that the information paradox can be explained as one manifestation of measurement problem. We show that such interpretation is necessary for a quantum informational model if smooth horizons and bulk reconstruction are assumed, and demonstrate explicitly that Page curves of solvable 2D gravity can be obtained through teleportation and entanglement swapping. We argue that the similarities between the black hole information problem and the measurement problem suggest links in the origins of the two problems.
Dynamic modeling with quantifying dissipated power density and experimental validation of dielectric elastomer actuators
Authors: Zhao Yunhua , Wen Li 
Published: March 2023

Abstract
This paper proposes a dynamic electromechanical model for dielectric elastomer actuators (DEAs) with dissipative processes. Dielectric loss of elastomers, resistance of electrodes, actuator geometry, elastomer viscoelasticity and nonlinear electromechanical coupling are considered, and a new visco-hyperelastic constitutive model with frequency-dependent parameters is developed for large-strain elastomers. The dynamic responses of DEAs at different driving frequencies are experimentally measured and comprehensively compared with those predicted results. The relative errors over the time period of 0–50 s at 5 and 7 Hz are respectively 3.6% and 3.4%, demonstrating the effectiveness of the model. The proposed dynamic model can not only predict the frequency response of DEAs but also characterize the creep and hysteresis behavior with reasonable accuracy. The power density dissipated during dielectric elastomer actuation is calculated and analyzed. The results suggest that selecting low-resistance electrodes and elastomers with short dielectric relaxation time and low viscous loss is a feasible way to achieve high energy conversion efficiency for DEAs. This work can be helpful for the design and control of DEAs, paving the way for their practical applications.
Real time reconstruction of the fast electron spectrum from high intensity laser plasma interaction using gamma counting technique
Authors: Zavorotnyi A. , Savel'ev A. 
Published: March 2023

Abstract
X-ray and gamma fluxes from the high intensity laser-plasma
interaction are extremely short, well beyond temporal resolution of
any detectors. If laser pulses come repetitively, the single photon
counting technique allows to accumulate the photon spectra, however,
its relation to the spectrum of the initial fast electron population
in plasma is not straightforward. We present efficient and fast
approach based on the Geant4 package that significantly reduces
computer time needed to re-construct the high energy tail of
electron spectrum from experimental data accounting for the pileup
effect. Here, we first tabulate gamma spectrum from monoenergetic
electron bunches of different energy for a given experimental setup,
and then compose the simulated spectrum. To account for the pileups,
we derive analytical formula to reverse the data. We also consider
errors coming from the approximation of the initial electron
spectrum by the sum of monoenergetic impacts, the finite range of
the electron spectrum, etc. and give estimates on how to choose
modelling parameters to minimize the approximation errors. Finally,
we present an example of the experimental data treatment for the
case of laser-solid interaction using 50 fs laser pulse with
intensity above 1018 W/cm2.
The automatic measurement system for internal stress of acrylic
Authors: Yang Xiaoyu , Heng Yuekun , Chen Zhiqiang , Wei Cunfeng , Zhang Zhiming , Wei Long 
Published: March 2023

Abstract
The manual measurement system for internal stress of acrylic
was designed and realized, which is based on photo-elastic principle
and spectrometric method. The manual measurement system can support
mobile and quantitative measurement, and plays an important role in
the fields of material research and engineering project. With the
extensive application of the stress measurement system, automation
is required to promote measuring efficiency and overcome the
shortcomings of the manual measurement system. Electric control
turntable was chosen as the key component for automation and adopted
in the automatic measurement system. The automatic measurement
system is controlled by program and user interface for operation has
also been improved. The automatic measurement system has been
realized and used for measuring internal stress of acrylic in the
laboratory, which achieved the expected effect. The components of
the automatic measurement system, the user interface for control
program and data processing, and the stress measurements of the
acrylic samples by the automatic measurement system are discussed in
this article.
Customizing ethical tools for Malaysian farmers: a case for GM crops technology
Authors: Omar H , Idris S H , Nashir I M , Jayabalan S , Majeed A B A , Amin L , Omar H 
Published: March 2023

Abstract
The socio-economic and cultural factors are rarely at the centre stage in the discourse on genetically modified organisms (GMOs) compared to the scientific and technological aspects. This study described the indicators for the ethical principles of genetically modified (GM) crops that can protect the rights of Malaysian farmers. Respect for life and the need to balance the benefits and harms are the indicators of general principles of ethics. It is vital for a decision to comprise of both scientific evidence and ethical consideration. Ethics focuses on what we should or should not do and locality-based. Therefore, ethical principles must be part of the evaluation criteria of policy practices. They must also be custom-made to suit Malaysian farmers. Ethical decision-making regarding genetic modification is complicated since it encompasses many ethical aspects of our lives. This paper aims to analyze and customize the indicators of ethical principles and guidelines on using GM crops in Malaysia to protect Malaysian farmers. A meta-analysis exploration comprised of system-matic review of established research within GM crops’ agronomic, socio-economic, cultural, and environmental effects is employed to consolidate the evidence. The outcome is the formation of an ethical tool comprised of nine indicators that suits farmers in Malaysia.
The regional transformation of Kulon Progo Regency based on land cover change and sustainable land use analysis
Authors: Ardi I A , Yusliana  , Priyoga I 
Published: March 2023

Abstract
Regional transformation is an unavoidable process in regional growth and development. The transformation process is strongly influenced by various factors, directly or indirectly. Changes in land use have an impact on the attractiveness that gives rise to new activities and changes in activities will have an impact on changes in land use or use. Based on the analysis of land cover and changes in population concentration using the NDBI satellite image processing approach, it is known that in the last 10 years there have been considerable changes in Kulon Progo Regency. In 2011 the dominance of land for fields, plantations, and forests was still quite high. Five years later, in 2016 there was a significant change in paddy fields, especially in coastal areas. Residential activities appear to have begun to develop, concentrated in Wates Urban Area and Sentolo-Nanggulan corridor. In 2021 there will be significant changes in the coastal area, several years after the construction and operation of Yogyakarta International Airport. The transformation process is still ongoing, it is necessary to anticipate in the future management of the area, especially when it is associated with the potential for disaster risk in certain parts of the region.
The challenges of green supply chain management (GSCM) system implementation in civil construction project
Authors: Nusa F N M , Isa C M M , Rahman S H A , Tarudin N F , Mohamad N D , Soffi N S M , Mohamad M M , Fam S F , Preece C N 
Published: March 2023

Abstract
Nowadays, the construction industry has negatively affected the local environment and community through the noise, air, water, and land pollution. The implementation of Green Supply Chain Management (GSCM) has been recognized as a green approach in reducing environmental issues in the construction industry. However, GSCM had no significant effect on athletic performance because not many company owners or managers had implemented green supply chain management in companies. Therefore, this study was conducted to identify the challenges to implement GSCM concepts in civil engineering construction. Through a questionnaire survey, fifty respondents from civil engineering companies at Sepang and Hulu Langat Selangor participated. The findings were analysed using SPSS software and the Relative Importance Index (RII). Different in perspective and culture, financial limitations and fear of failure were internal challenges against implementing GSCM. Meanwhile, the external challenges were a lack of support and guidelines from the government, not having an engagement of management from third parties, and not having actual environmental measurements of the GSCM system. This study is significant for apprehending the challenges and ineffectiveness of GSCM practices in Malaysia.
Predicting sand size distribution based on well logs of east Malaysia basins
Authors: Geraman J J A J , Mat-Shayuti M S , Othman N H , Alias N H , Marpani F , Tengku Mohd T A 
Published: March 2023

Abstract
Sand management is an integral part of petroleum production especially in brown fields. A big influence in sand control strategy is sand size distribution, which is not always accessible due to difficult and costly coring analysis. Hence, this paper aims to test the ability of selected numerical models in predicting the sand size distribution based on well logs and reports. Three models were tested namely Krumbein and Monk, Berg, and Van Baaren, with the estimations later were compared with the actual data from the fields of Sabah and Sarawak located in East Malaysia basins. From the result, the model by Van Baaren showed the closest agreement with the actual data, with excellent accuracy for particle size close to 100 µm. This was followed by Berg, while Krumbein and Monk model displayed the least fitting. The models then were fine-tuned by introducing correction coefficients determined via numerical solver, and the calibrated formulas improved the accuracy by 12%. Despite more studies and refinement are required before this method can be proliferated, the result from this study indicates its huge potential.