bluuebunny/crossref_metadata_2025 huggingface dataset:
An active transport dual adaptive nanocarrier designed to overcome the corneal microenvironment for neovascularization therapy
Authors: Wang Rui , Li Yingying , Gao Shan , Zhang Yu , He Zhijing , Ji Jianbo , Yang Xiaoye , Ye Lei , Zhao Lixia , Liu Anchang , Zhai Guangxi
Published: November 2023

The eyes have a complicated microenvironment with many clearance mechanisms, making it challenging for effective drug delivery to the targeted areas of the eyes.
Assembly of an iron-based complex into a metal–organic framework: a space confinement strategy for isolation of mono-iron complexes to protect from dimerization
Authors: Chen Juan , Bai Lu-Qi , Dai Yi-Fei , Deng Li-Cheng , Wang Yu , Zhang Tao , Chen Kai-Jie
Published: November 2023

A space confinement strategy was developed for isolation of an FeTPA complex into the metal–organic framework UiO-66 to protect from dimerization by the “ship-in-a-bottle” method.
Second-order superatoms: Au52-PAP featuring a three-dimensional cluster-of-clusters core
Authors: Muñoz-Castro Alvaro
Published: November 2023

Herein, we unravel the novel formation of three-dimensional aggregates of superatomic cores, behaving like higher order superatoms referred to as second-order superatoms.
Correction: Synthesis of novel solid scale inhibitors based on silver tungstate loaded KIT-6 for scale removal from produced water: static and modeling evaluation
Authors: Salem Heba M. , Mubarak Mahmoud F. , Abdelrahman Asmaa A. , Hosny R.
Published: November 2023

Correction for ‘Synthesis of novel solid scale inhibitors based on silver tungstate loaded KIT-6 for scale removal from produced water: static and modeling evaluation’ by Heba M. Salem, et al., Dalton Trans., 2023, https://doi.org/10.1039/d3dt02594b.
Facile surface restructure by one-step sub-millisecond laser exposure promotes the CO2 methanation performance of cobalt oxide supported Pd nanoparticles with copper-oxide cluster decoration
Authors: Bhalothia Dinesh , Beniwal Amisha , Saravanan Praveen Kumar , Huang Guo-Heng , Cheng Mingxing , Lin Ming-Wei , Chen Po-Chun , Chen Tsan-Yao
Published: November 2023

The schematic representation for the atomic structures of pristine CPCu, CPCu-1 and CPCu-10 nanocatalysts.
Construction of antibacterial bone implants and their application in bone regeneration
Authors: Feng Pei , He Ruizhong , Gu Yulong , Yang Feng , Pan Hao , Shuai Cijun
Published: November 2023

In order to address the issue of bacterial infection during the transplantation of bone implants, four types of bone implants with long-term antimicrobial functionality have been constructed.
Patterned liquid metal embedded in brush-shaped polymers for dynamic thermal management
Authors: He Qingxia , Qin Mengmeng , Zhang Heng , Yue Junwei , Peng Lianqiang , Liu Gejun , Feng Yiyu , Feng Wei
Published: November 2023

A series of patterned LM pathways are embedded in brush-shaped polymers, by combining vertically oriented graphene aerogels (VGAs) to fabricate soft elasticity thermally conductive composites for dynamic thermal management.
A structural color hydrogel for diagnosis of halitosis and screening of periodontitis
Authors: Hu Chuanshun , Zhou Jieyu , Zhang Jin , Zhao Yonghang , Xie Chunyu , Yin Wei , Xie Jing , Li Huiying , Xu Xin , Zhao Lei , Qin Meng , Li Jianshu
Published: November 2023

A structural color hydrogel for naked-eye detection of exhaled VSCs is developed, providing an approach for low-cost, high-sensitivity, and high-accuracy point-of-care diagnosis of halitosis and screening of periodontitis.
Electroselective C(sp3)–H deuteration of isoindolinones
Authors: Gao Qiansong , Zheng Lianyou , Ning Shulin , Shi Lingling , Wu Cheng , Liu Mian , Xiang Jinbao
Published: November 2023

An efficient paired electrochemical method for selective deuteration of isoindolinones was realized via H/D exchange. Its utility has been well exemplified in the late-stage modification of bioactive molecules and their further transformation.
Study on the chemical reactivity difference of primary hydroxyl groups in iridoid glycosides
Authors: Kong Yuanfang , Xu Jindan , Zhu Pengbo , Wang Shaopei , Yang Bin , Zhang Jingyu , Dong Chunhong
Published: November 2023

Two methods of computer simulation and experiments were used to explore the difference of primary hydroxyl groups in iridoid glycosides, which indicate that the chemical reactivity of hydroxyl at C10-position is higher than that of the C6′-position.
Copper-promoted S-arylation reactions with triarylbismuths for the synthesis of diaryl sulfides
Authors: Nie Mei , Zhou Xuehao , Tang Jingjie , Huang Dongting , Xiao Xinsheng , Xie Jianwei
Published: November 2023

An efficient protocol has been developed for Cu-promoted C–S coupling reactions by using triarylbismuths or triarylantimonys as arylating reagents with remarkable functional group tolerance and chemoselectivity.
Swelling kinetics of constrained hydrogel spheres
Authors: Cano Théotime , Na Hyeonuk , Sun Jeong-Yun , Kim Ho-Young
Published: November 2023

We studied the swelling kinetics of constrained hydrogel spheres by combining a nonlinear poroelasticity theory and experiments, and found that they are capable of generating an unusually high actuation force.
One-step hydrothermal synthesis of Se-doped NiTe electrocatalysts for efficient hydrogen production from saline water assisted by anodic iodide oxidation
Authors: Tan Hao , Yu Zhipeng , LaGrow Alec P. , Ma Shiyu , Wang Jingwei , Li Hong , Xiong Dehua , Liu Lifeng
Published: November 2023

Selenium-doped nickel telluride nanoarrys show outstanding electrocatalytic performance for the iodide oxidation reaction and can be used to boost seawater electrolysis toward highly-efficient, energy-saving hydrogen production.
Stability and synthesis across barium tin sulfide material space
Authors: Woods-Robinson Rachel , Persson Kristin A. , Zakutayev Andriy
Published: November 2023

The underexplored Ba–Sn–S phase space is explored at various temperatures and cation ratios with combinatorial sputtering, crystallizing rocksalt-derived phases, Ba2SnS4, and Ba7Sn5S15. These findings are supported by DFT computed phase diagrams.
Fluorine-decorated high loading Fe–N–C electrocatalysts for proton exchange membrane fuel cells
Authors: Gao Rui , Qiu Zhongyu , Xu Kun , Zhai Zihui , Cong Yuanyuan , Jiang Qike , Zhang Guanghui , Lv Yang , Guo Yizheng , Li Yongpeng , Xu Qingchuan , Xiao Yi , Pang Yiheng , Wang Yun , Song Yujiang
Published: November 2023

Fluorine-decorated Fe–N–C achieves 7.1 wt% of atomically dispersed Fe loading. F promotes nanopore creation and ionomer distribution in the catalyst layer, suitable for O2 and proton transfer.
Neutral d8 metal complexes with intervalence charge-transfer transition trigger an effective NIR-II photothermal conversion for solar-driven desalination
Authors: Yang Yung-Cong , Lin Joanna S. , Ni Jen-Shyang
Published: November 2023

The square-planar organometallic complexes, with effective broad solar-light harvesting and photostability, serve as solar-thermal conversion materials for efficient desalination of seawater.
Dual-mode fluorescence and electrochemiluminescence sensors based on Ru-MOF nanosheets for sensitive detection of apoE genes
Authors: Hu Huiting , Cui Hanfeng , Yin Xia , Fan Qiqi , Shuai Hai , Zhang Jing , Liao Fusheng , Xiong Wei , Jiang Hedong , Fan Hao , Liu Wenming , Wei Guobing
Published: November 2023

A novel FL–ECL dual-mode sensor for apoE gene detection with ruthenium MOF nanosheets exhibits high sensitivity, wide linear ranges, and robust real-world application potential.
Fabrication of ROS-responsive nanoparticles by modifying the interior pore-wall of mesoporous silica for smart delivery of azoxystrobin
Authors: Gao Tuqiang , Zhang Borui , Wu Zhaochen , Zhang Qizhen , Shi Xin , Zhou Congying , Liu Xiaofang , Liu Pengfei , Liu Xili
Published: November 2023

Application of ROS responsive nano pesticides in smart control of cucumber gray mold.
Fe/Cu–AuNP nanocomposites as enzyme-like catalysts to modulate the tumor microenvironment for enhanced synergistic cancer therapy
Authors: Yang Chan , Ou Huan , Mo Liuting , Lin Weiying
Published: November 2023

A novel Fe/Cu–AuNP nanocomposite was synthesized with multi-enzyme-like activities for tumor eradication through significantly enhanced CDT.
A new type of lipophilic hydrophobic self‐repairing cellulose insulating paper developed with ST‐110/FAS/PTFE ternary system as coating substrate
Authors: Zeng Zhenglin , Qin Jinshan , Wang Zuhao , Tan Weimin , Tang Chao
Published: November 2023

The moisture generated by the ageing of the oil‐paper insulating system can easily lead to the deterioration of the performance of the insulating paper. In order to alleviate the impact of moisture on the performance of the insulating paper, we developed a kind of lipophilic hydrophobic self‐repairing cellulose insulating paper (new insulating paper) based on the ternary system of polytetrafluoroethylene, fluorocarbon surfactant and fluorinated alkyl silane, and accelerated thermal ageing test for 45 days at 130°C was carried out. The experimental results show that the new insulating paper with excellent lipophilic property can realise hydrophobic self‐repairing through heat treatment after physical damage. The tensile strength and elongation at break of the new insulating paper increased by 5%–8% and 6.25%–27% respectively compared with the original cellulose insulating paper. At the end of ageing, the relative dielectric constant and dielectric loss factor of new insulating paper are 10.4% and 9.9% lower than that of the original cellulose insulating paper, while the breakdown voltage is 6.8% higher. The acid and moisture content produced during the ageing process of the insulating oil impregnated with new insulating paper are also less, indicating that the coating can delay the ageing of the insulating paper.
Delamination thickness measurement based on Stoneley wave in bilayered composite structure
Authors: Zhou Tao , Li Ming-hang , Li Bing
Published: November 2023

Introduction: For composite structures, delamination usually occurs at the interface. Ultrasonic guided waves have been widely used to detect the delamination. However, most researches focus on the measurement of the delamination length along the interface, and the measurement of the delamination thickness is less studied. Method: In this paper, based on the characteristic that the Stoneley wave only propagates along the interface, the reflection coefficient of interaction between Stoneley wave and delamination is used to measure the delamination thickness. The effects of delamination thickness and frequency on the reflection coefficient are investigated via dividing integral region and reciprocity theorem. Some experimental validations are carried out on two aluminum-steel bilayered composite plates with different delamination thickness. Results: It is found the reflection coefficient increases linearly at first, then its rate of increase slows down gradually, and finally becomes stable, in theory. And the experimental results can verify the theoretical relationship between the reflection coefficients and the delamination thickness. Conclusion: The variation of reflection coefficient provides a reference for the measurement of delamination thickness in Stoneley-wave-based non-destructive testing.
Conceptual Design and Control Schedule Optimization for Parallel Hybrid Propulsion System of Regional Turboprop Aircraft
Authors: Mikhailov Alexey , Vasilieva Elizaveta , Mikhailova Alexandra , Eremenko Vladislav , Goryukhin Maxim , Krasnoperov Daniil
Published: November 2023

Current environmental policies for the aviation industry motivate the use of cleaner propulsion systems to reduce its CO2 and noise footprint in the coming years. In this context, hybrid propulsion systems have emerged as a potential solution as they have demonstrated a good trade-off between performance and low pollutant emissions. In the present work, the conceptual design and control schedule optimisation of a parallel hybrid propulsion system for the De Havilland Dash 8 regional turboprop aircraft is carried out. A parametric study of the turboprop engine with different degrees of hybridisation at design point and off-design performance analysis of the parallel hybrid propulsion system with different control schedules for an aircraft typical mission has been carried out. Overall aircraft performance parameters are used to evaluate hybrid propulsion systems with different degrees of hybridisation and control schedules. From the results, it was found that a control schedule with 10-15% hybridisation during the cruise phase is the most promising when considering the aircraft mission blocked fuel and fuel efficiency.
Quantum-chemical simulation for production technologies of high-strength Zylon fibers
Authors: Bakulin Vladimir , Danilin Alexander , Karnet Julia , Nikitin Sergey , Feldstein Valery
Published: November 2023

Using computer simulation methods, the geometry of the blocks that make up the Zylon polymer chain was established, the impossibility of the existence of a strictly linear polymer was shown, as well as the rotational barrier of the conformational transition of the benzobisoxazole block. computed. An assumption was made about the possibility of the transition of Zylon into various conformational states when creating high-strength fibers.
Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms
Authors: Domanov Kirill , Istomin Stanislav , Shatokhin Andrey
Published: November 2023

The paper considers the issues of creating a driver decision support system for digital analysis of the railway infrastructure based on machine learning and machine vision algorithms, which will take into account and analyse the given traffic schedule, infrastructure capabilities, dispatch centre teams, statuses of the nearest traffic participants for unmanned safe control of electric rolling stock. A detailed review of existing control systems in railway transport is made, which are based on technical vision.
Operational Adaptation of Digital Filter Parameters when Changing the Discrete Time Step in the Problems of Forming the Control of Unmanned Vehicles Using Satellite Measurements
Authors: Belonogov Viktor
Published: November 2023

For the tasks of controlling unmanned vehicles using external information signals, in some cases, a change in the time parameters T0 of periodic data receipt is typical. Such systems, the processing of incoming information in order to form digital control is implemented by digital filters (DF), based on discrete samples x[k] of some continuous signal x(t) at quantization times tk=k*T0 Here T0[seconds]- the period of discreteness in time, k=0,1,2,.. an integer variable, essentially a time counter. The properties of the filter are uniquely specified by its specific mathematical model - the discrete impulse transient function [1,3] of the filter (DITF), which characterizes the filter operation at a specific step T0= 1/f0, where f0 (hertz) is the frequency. When the time intervals T0 of data arrival change, for example, due to a change in the transmission conditions in the radio channel, or due to a change in the location of the satellite constellation, the filter properties will change during operation [2], and if T0 changes significantly, such filtering can lead to unsatisfactory results. In this paper, for the parameters of the digital filter, the adaptation problem is posed and solved, which ensures the invariance of the nature DITF, in contrast to the stabilization of the frequency properties of the digital filter, studied in [4]. To rebuild the numerical parameters of the filter, an algorithm is proposed that uses information about the time intervals obtained by direct measurement. At the stage of filter development, a special recalculation matrix is formed and when the filter is running in real time, the digital filter parameters are recalculated. For a model example, the calculation results are presented, which show good tuning accuracy, stable filter characteristics, as well as the simplicity of the required calculations on board with a significant change in time intervals.
Synthesis of a Controller Built on the Principle of Inverse Dynamics and Identification of a Nonlinear Model of Longitudinal Motion in Offline Mode
Authors: Efremov Alexander , Bikineeva Alexandra , Korzun Fedor
Published: November 2023

This report is dedicated to the design of a controller based on the principle of inverse dynamics and the offline identification of the coefficients of a supersonic transport (SST) aircraft’s linear longitudinal dynamics model based on the results of measuring the nonlinear mathematical model’s responses. A landing task under the influence of atmospheric disturbances is considered.
Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data
Authors: Korsun Oleg , Stulovsky Alexander , Pravidlo Mikhail
Published: November 2023

This article considers approaches to processing large volumes of flight data using parametric identification methods. The problem is studied from the point of view of selecting informative areas based on a preliminary assessment of identification errors. The paper offers algorithms for combining estimates of pro-cessing intervals for the problem of signal recovery while ensuring its continuity. Their performance is presented by the processing of data obtained at a simulation bench.
Templates of expected measurement uncertainties
Authors: Neudecker Denise , Lewis Amanda M. , Matthews Eric F. , Vanhoy Jeffrey , Haight Robert C. , Smith Donald L. , Talou Patrick , Croft Stephen , Carlson Allan D. , Pierson Bruce , Wallner Anton , Al-Adili Ali , Bernstein Lee , Capote Roberto , Devlin Matthew , Drosg Manfred , Duke Dana L. , Finch Sean , Herman Michal W. , Kelly Keegan J. , Koning Arjan , Lovell Amy E. , Marini Paola , Montoya Kristina , Nobre Gustavo P.A. , Paris Mark , Pritychenko Boris , Sjöstrand Henrik , Snyder Lucas , Sobes Vladimir , Solders Andreas , Taieb Julien
Published: November 2023

The covariance committee of CSEWG (Cross Section Evaluation Working Group) established templates of expected measurement uncertainties for neutron-induced total, (n,γ), neutron-induced charged-particle, and (n,xn) reaction cross sections as well as prompt fission neutron spectra, average prompt and total fission neutron multiplicities, and fission yields. Templates provide a list of what uncertainty sources are expected for each measurement type and observable, and suggest typical ranges of these uncertainties and correlations based on a survey of experimental data, associated literature, and feedback from experimenters. Information needed to faithfully include the experimental data in the nuclear-data evaluation process is also provided. These templates could assist (a) experimenters and EXFOR compilers in delivering more complete uncertainties and measurement information relevant for evaluations of new experimental data, and (b) evaluators in achieving a more comprehensive uncertainty quantification for evaluation purposes. This effort might ultimately lead to more realistic evaluated covariances for nuclear-data applications. In this topical issue, we cover the templates coming out of this CSEWG effort–typically, one observable per paper. This paper here prefaces this topical issue by introducing the concept and mathematical framework of templates, discussing potential use cases, and giving an example of how they can be applied (estimating missing experimental uncertainties of 235U(n,f) average prompt fission neutron multiplicities), and their impact on nuclear-data evaluations.
Templates of expected measurement uncertainties for total neutron cross-section observables
Authors: Lewis Amanda M. , Carlson Allan D. , Smith Donald L. , Barry Devin P. , Block Robert C. , Croft Stephen , Danon Yaron , Drosg Manfred , Herman Michal W. , Neudecker Denise , Otuka Naohiko , Sjöstrand Henrik , Sobes Vladimir
Published: November 2023

This paper provides a template of expected uncertainties and correlations for measurements of total neutron cross-section observables by transmission. Measurements with time-of-flight and mono-energetic neutron sources are covered. The information required for evaluations in the resonance region and high energy region is detailed, along with the template of uncertainties and correlations that can be used in the absence of other information.
Machine Learning Techniques for Disease Prediction
Authors: Potnis Nikhil , Tiple Bhavana
Published: November 2023

Epidemic disease prediction is a critical area of research that has garnered increasing attention in recent years, particularly in the wake of the COVID-19 pandemic. One promising avenue for predicting the spread of diseases is through the analysis of social media data, such as Twitter. Machine learning (ML) techniques can be applied to Twitter data to identify patterns and trends that may be indicative of an emerging epidemic. For example, natural language processing (NLP) techniques can be used to analyze the language used in tweets to identify keywords and phrases that are commonly associated with a particular disease. Additionally, sentiment analysis can be used to assess the overall mood of the Twitter community, which can be a useful predictor of disease outbreaks. By combining these techniques with real-world data on disease incidence and other relevant factors, it may be possible to develop highly accurate models for predicting the spread of epidemic diseases, which could have important implications for public health policy and emergency response planning.
Detecting Phishing Websites using recent Techniques: A Systematic Literature Review
Authors: Subashini K. , Narmatha V.
Published: November 2023

The goal of this study Phishing attacks are constantly evolving, and to avoid being detected by conventional means, attackers use cutting-edge approaches. Novelty detection aims to identify previously unseen phishing attacks, including zero-day threats and sophisticated evasion tactics. Phishing attacks continue to pose significant threats to cybersecurity, exploiting human vulnerabilities and developing quickly to avoid being detected by conventional methods. In response to these challenges, this literature survey presents a comprehensive review of phishing website detection techniques, focusing on novel approaches and the latest advancements in the field. It explores dynamic analysis, real-time monitoring, and anomaly detection techniques to keep pace with the ever-changing phishing landscape. The survey addresses the persistent issue of imbalanced datasets by presenting effective strategies for handling data from significantly more legitimate websites than phishing sites. It advocates for data augmentation, cost-sensitive learning, and domain adaptation to improve the accuracy and generalization of detection models. By highlighting the latest advancements and addressing key challenges, the review contributes to building robust and resilient phishing detection frameworks that safeguard users and organizations in the constantly evolving cyber threat landscape.
Multimedia Multilevel Security by Integrating Steganography and Cryptography Techniques
Authors: Satish E.G. , Sreenivasa N. , Naresh E. , Ramesh Naidu P. , Ramachandra A.C.
Published: November 2023

Multimedia-based Steganography is famous for its security purpose, These steganography techniques were used by our ancestors and it is still carried out now with better and vast technology. The aim is to provide better security in an effective and secure manner where the original data is covered and hidden by some of the media covers like video, audio, image, text, etc. so that only the sender who sends it and the receiver who receives it can only see the secret data inside it. In this project, we are combining all the steganography types and giving the user the advantage of selecting his/her own choice of multimedia cover to hide the real content. The options of the different algorithms will be provided so that the users who are comfortable with that algorithm have the privilege to select it and the file will be processed with that algorithm. This steganography technique is used by the government to send information that supports national security, The company uses it for digital copyrighted media, and military services also use this technology to send it to the army who are on a mission. We aim to provide the same with more security and a rich user experience. In this survey, a variety of methods is used to provide the same facility and recent research in the field.
Prediction of hot metal temperature in a blast furnace iron making process using multivariate data analysis and machine learning methodology
Authors: Kumar Arun , Agrawal Ashish , Kumar Ashok , Kumar Sunil
Published: November 2023

The feed-forward back propagation neural (FFBPN) network method and multivariate data analysis are used to present a new approach for predicting the health of a blast furnace in the form of hot metal temperature (HMT), which is a crucial parameter to control the stable flow of hot metal production while avoiding major danger incidents during the ironmaking process. The health status also appears to predict the performance level of BF at a premature time, allowing the operator to take necessary steps to avoid BF deterioration. The BF’s health status designates the stability or instability of the BF, which may arise during the manufacturing process of hot molten iron, and is used to find the fault. In this paper, the health status of BF was determined with the help of a FFBPN and correlation matrix. This was done with Matlab (Version 2018Rb) software that uses data pre-processing, variable reduction, and a selective attribute of a data set. The FFBPN model has been trained, tested, and validated, and it has got 96% correlation coefficient of HMT prediction of combination of all data sets. The predicted HMT using several actual process data sets has been helpful in identifying the process irregularity in BF.
Wear and corrosion behavior of selected up-quenched and step-quenched CuZnSn shape memory alloys
Authors: Anaele Justus Uchenna , Alaneme Kenneth Kanayo , Omotoyinbo Joseph Ajibade
Published: November 2023

The effect of thermal treatment on the wear and corrosion behavior of three categories of Cu-Zn-Sn-Fe SMAs designated A, B, and C is studied. Wear properties were investigated using a tribometer whilst corrosion in 0.3 M H2SO4and 3.5%NaCl media was studied using the potentiodynamic polarization method. The microstructure of the alloys mainly consists of FCC Cu-rich phase and Cu5Zn8phase. The up-quenched A alloys show the highest hardness and lowest wear rate values of 72.1 HRB and 0.143 mm3/N/m respectively. Average COF was higher for the samples subjected to direct-quenching (0.35–0.12) than the up-quenched (0.16–0.12) and step-quenched (0.2–0.08) samples. Wear occurred by mixed mode mechanisms of abrasion and adhesion evident by grooves and wear particles on the surface. In 0.3 M H2SO4medium, step-quenched alloys had corrosion rates in the range of 0.1022 to 1.1705 mm/yr, which is lower than the range of 0.1466 to 0.2855 mm/yr, and 0.1730 to 0.6027 mm/yr obtained for direct quenched and up-quenched samples respectively. In 3.5% NaCl solution, step-quenched alloys had the lowest corrosion rates 0.0251 mm/yr relative to samples subjected to up-quenching and direct quenching treatment. Generally, step-quenching treatment effectively improved the corrosion resistance of alloys in both media.
Note on the Number of Solutions of Cubic Diagonal Equations over Finite Fields
Authors: HU Shuangnian , WANG Shihan , LI Yanyan , NIU Yujun
Published: November 2023

Let [see formula in PDF] be the finite field, [see formula in PDF], with [see formula in PDF] being a prime and [see formula in PDF] being a positive integer. Let [see formula in PDF] be the multiplicative group of [see formula in PDF], that is [see formula in PDF]. In this paper, by using the Jacobi sums and an analog of Hasse-Davenport theorem, an explicit formula for the number of solutions of cubic diagonal equation [see formula in PDF] over [see formula in PDF] is given, where [see formula in PDF] and [see formula in PDF]. This extends earlier results.
A Mixed-Integer Programming Formulation for a Simplified Model of the Double Row Layout Problem
Authors: GUAN Jian , LIN Geng , FENG Huibin , RUAN Zhiqiang
Published: November 2023

The double row layout problem (DRLP) is to assign facilities on two rows in parallel so that the total cost of material handling among facilities is minimized. Since it is vital to save cost and enhance productivity, the DRLP plays an important role in many application fields. Nevertheless, it is very hard to handle the DRLP because of its complex model. In this paper, we consider a new simplified model for the DRLP (SM-DRLP) and provide a mixed integer programming (MIP) formulation for it. The continuous decision variables of the DRLP are divided into two parts: start points of double rows and adjustable clearances between adjacent facilities. The former one is considered in the new simplified model for the DRLP with the purpose of maintaining solution quality, while the latter one is not taken into account with the purpose of reducing computational time. To evaluate its performance, our SM-DRLP is compared with the model of a general DRLP and the model of another simplified DRLP. The experimental results show the efficiency of our proposed model.
A Predictive Model for Cancer-Associated Thrombosis in Japanese Cancer Patients: Findings from the J-Khorana Registry
Authors: Shoji Masaaki , Yamashita Yugo , Ishii Masanobu , Inoue Hitoki , Kato Hiroshi , Fujita Shin , Matsui Kazuhiro , Tajiri Kazuko , Nameki Mizuo , Muraoka Nao , Nonaka Akiko , Sugino Hiroshi , Kono Mihoko , Oka Toru , Sueta Daisuke , Komuro Issei , Tsujita Kenichi ,   on behalf of J-Khorana Registry Investigators
Published: November 2023

Background Although the close relationship between cancer and venous thromboembolism (VTE) has been identified, risk stratification for VTE in Japanese patients with cancer remains unclear.

Objectives This study aimed to validate the Khorana VTE risk assessment score (KRS) for VTE diagnosis and establish an optimal predictive model for VTE in Japanese patients with cancer.

Methods A total of 7,955 Japanese patients with cancer were subdivided into low- (0), intermediate- (1–2), and high-score (3) groups according to the KRS. Using 37 explanatory variables, a total of 2,833 patients with cancer were divided into derivation and validation cohorts (5:5). A risk model for Japanese participants was developed using the derivation cohort data.

Results The prevalence of VTE in low-, intermediate-, and high-score patients was 1.2, 2.5, and 4.3%, respectively. Logistic regression analysis demonstrated that cancer stage (III–IV) and KRS ≥ 2 were independent and significant predictors of VTE onset. The risk model for VTE assigned 1 point to body mass index ≥25 kg/m2 and 2 points each to the prevalence of osteochondral cancer and D-dimer level ≥1.47 µg/mL. The areas under the curve of the risk model were 0.763 and 0.656 in the derivation and validation cohorts, respectively.

Conclusion The KRS was useful in Japanese patients, and our new predictive model may be helpful for the diagnosis of VTE in Japanese patients with cancer.
Prognostic Impact of AGR3 Protein Expression in Breast Cancer: A Systematic Review and Meta-analysis
Authors: Moraes Carolina Leão de , Mendonça Carolina Rodrigues , Melo Natália Cruz e , Tacon Fernanda Sardinha de Abreu , Junior Jair Pereira de Melo , Amaral Waldemar Naves do
Published: November 2023

Objective To investigate the clinicopathological significance and prognosis of the expression of the anterior gradient 3 (AGR3) protein in women with breast cancer.

Data Sources The PubMed, CINAHL, EMBASE, Scopus, and Web of Science databases were searched for studies published in English and without restrictions regarding the year of publication. The search terms were: breast cancer AND anterior gradient 3 OR AGR3 expression.

Study Selection We included observational or interventional studies, studies on AGR3 protein expression by immunohistochemistry, and studies on invasive breast cancer. Case reports, studies with animals, and reviews were excluded. In total, 4 studies were included, containing 713 cases of breast cancer.

Data Collection Data were extracted on clinicopathological characteristics and survival. A meta-analysis of the prevalence of AGR3 expression was performed according to the clinicopathological characteristics, hazard ratios (HRs), and overall survival and disease-free survival.

Data Synthesis The expression of AGR3 was found in 62% of the cases, and it was associated with histological grade II, positivity of estrogen and progesterone receptors, low expression of ki67, recurrence or distant metastasis, and lumen subtypes. In patients with low and intermediate histological grades, AGR3 expression was associated with worse overall survival (HR: 2.39; 95% confidence interval [95%CI]: 0.628–4.159; p = 0.008) and worse disease-free survival (HR: 3.856; 95%CI: 1.026–6.686; p = 0.008).

Conclusion The AGR3 protein may be a biomarker for the early detection of breast cancer and predict prognosis in luminal subtypes. In addition, in patients with low and intermediate histological grades, AGR3 protein expression may indicate an unfavorable prognosis in relation to survival.
Immobilization, Lymphedema, and Obesity are Predictive Factors in the Development of Adhesive Capsulitis in Breast Cancer Patients
Authors: Fernandes Marcos Rassi , Assis Flaviane Marques de , Spagnol Joana Ermida , Chaves Vinícius Barros
Published: November 2023

Objective Adhesive capsulitis is a condition characterized by shoulder pain and stiffness. Breast cancer treatment has been linked to the development of this condition, but its mechanisms are still little known. This study's objective was to identify predictors factors associated with the development of adhesive capsulitis in breast cancer patients.

Methods A case control study was performed with women undergoing treatment for breast cancer in a single center. The sampling was nonprobabilistic and consecutive. Adhesive capsulitis was defined as constant pain associated with decreased active and passive shoulder movement in anterior elevation, external rotation at 0°/90° abduction, and internal rotation at 90° abduction. The study group consisted of patients with shoulder pain and range of motion limitations, while the control group consisted of women without any shoulder abnormalities. Sociodemographic and clinical variables were collected. A univariate logistic regression was used to assess the influence of variables on the studied outcome. For p < 0.20, a multivariate logistic regression was used. The probability of null hypothesis rejection was 5%.

Results A total of 145 women were assessed, with 39 (26.9%) on the study group and 106 (73.1%) on the control group. The majority was under 60 years old. In the multivariate analysis, variables correlated to the outcome under study were shoulder immobilization (OR = 3.09; 95% CI: 1.33–7.18; p = 0.009), lymphedema (OR = 5.09; 95% CI: 1.81–14.35; p = 0.002), and obesity (OR = 3.91; 95% CI: 1.27–12.01; p = 0.017).

Conclusion Lymphedema, postsurgery immobilization, and obesity are predictive factors for the development of adhesive capsulitis in breast cancer patients.
Adaptation and Validation of the International Pelvic Pain Society's Quality of Life Questionnaire in Portuguese
Authors: Hayashi Letícia Ferracini Lenharo , Ribeiro Paulo Augusto Ayroza Galvão , Silva Júlio Cesar Rosa e , Brito Luiz Gustavo Oliveira , Ribeiro Helizabet Salomão Abdalla Ayroza
Published: November 2023

Objective In the present study, our aim was to translate, adapt, and validate the Pelvic Health History Form (a quality of life [QoL] questionnaire) of the International Pelvic Pain Society (IPPS) from English to Portuguese.

Methods The study was approved by the Ethics and Research Committee (CEP, in the Portuguese acronym) and the IPPS. The "Transcultural Adaptation" method comprised 5 stages: translation, synthesis, backtranslation, expert review, and pretest. Cultural adaptation and validation included cognitive interviews and statistical analysis of unanswered items (> 15%) in 14 clinic patients from CPP and endometriosis clinic at Santa Casa de São Paulo.

Results Strong equivalences were established between the USA and Brazil questionnaires in terms of semantics, idioms, experiences, and concepts. Eighteen culturally inappropriate items were identified and adjusted using the revised response rate index. The subjective form underwent rigorous assessments, confirming its accurate measurement of intended targets.

Conclusion The methodology showed efficiency and equivalence, confirming its validity. The user-friendly format and inclusion of translated, adapted, and validated instruments in Portuguese make the form valuable for evaluating pelvic health, with potential for future research.
Economic Analysis of Induction versus Elective Cesarean in Term Nulliparas with Supermorbid Obesity
Authors: Nehme Lea , Horgan Rebecca , Waller Jerri , Kumar Priyanka , Barake Carole , Huang Jim C. , Saade George , Kawakita Tetsuya
Published: November 2023

Objective We sought to evaluate the economic benefit of the induction of labor compared with elective cesarean delivery in individuals with supermorbid obesity (body mass index 60 kg/m2 or greater) at term.

Study Design We developed an economic analysis model to compare induction of labor with elective cesarean delivery in nulliparous individuals with supermorbid obesity at term. The primary outcome was the total cost per strategy from a health system perspective with elective cesarean delivery as a reference group. Pregnancy outcomes for the index and subsequent pregnancies were considered. When available, probabilities of pregnancy outcomes were extracted from our institutions. Rare pregnancy outcomes, relative risks, and costs were derived from the literature. All costs in this analysis were inflated to 2022 USD (U.S. dollar). To determine the robustness of the decision model, we conducted one-way sensitivity analyses by changing point estimates of variables. We then performed a probabilistic sensitivity analysis using Monte Carlo simulation repeating 1,000 times to test the robustness of the results in the setting of simultaneous changes in probabilities, relative risks, and costs.

Results In the base-case analysis, assuming that 72.7% of nulliparous individuals undergoing induction of labor would have a cesarean delivery, induction of labor would cost $41,084 compared with $40,742 for elective cesarean delivery, resulting in a higher cost of $342 per nulliparous individuals with supermorbid obesity. In a sensitivity analysis, we found that induction of labor compared with elective cesarean is less economical if the probability of cesarean delivery after induction of labor exceeds 71%. Monte Carlo simulation suggests that elective cesarean delivery was the preferred cost-beneficial strategy with a frequency of 53.5%.

Conclusion: Among our patient population, induction of labor was less economical compared with elective cesarean delivery at term for nulliparous individuals with supermorbid obesity.

Key Points
When does word of mouth versus marketing drive brand performance most?
Authors: Bahadir S. Cem , Pauwels Koen
Published: November 2023

Emerging markets present opportunities to brand managers who understand the drivers of word of mouth (WOM). What motivates consumers to share positive WOM (PWOM) about brands? Is it their perception of its product attributes, perception of its advertising, or the receipt of WOM from others? In this study, we explore the effects of received WOM (RWOM) and marketing mix and brand perception variables on the transmission of WOM for shampoo products in India and Thailand and contrast them with the mature market of Japan. Vector autoregressive models show that the impact of the studied variables on WOM transmission depends on brand performance stability and consumer involvement with the product category. The marketing mix has a greater impact on WOM transmission than RWOM across the countries for growing (vs. declining) brands. The impact of RWOM on the transmission of PWOM is greater for high- than low-involvement consumers. The difference in the impact of RWOM on the transmission of PWOM depends on the stability of brand performance. Managers should thus consider brand performance stability and consumer involvement versus the marketing mix when trying to stimulate WOM.
Human civilization dynamics: why we have different civilization patterns in history
Authors: Lu Peng , Zhang Zhuo , Onyebuchi Chiamaka Henrietta , Li Mengdi
Published: November 2023

After the Axial Age, the West moved toward continuous disunity, but China had successfully maintained a persistent unity pattern. Conventional case (history event) studies are subject to selection bias and theoretical frameworks, which is not objective narrative. We use agent-based modeling (ABM) to reveal the historical dynamics of why civilizations take on distinct patterns (unity versus disunity). In China, the Qin Dynasty (initial unity) opened the Great Unity tradition in 221 BC. Before this, there was a major chaotic period (770 BC to 221 BC) with two periods. The first period, the Spring and Autumn (770 BC to 221 BC), opened this chaotic process and indirectly led to the initial unity. Then, the second period, the Warring States period (475 BC to 221 BC), directly led to this initial unity. This work models the second period and focuses on the question of why human civilizations take on different patterns in history. Finally, we have solved the conditions and boundaries of two patterns. Based on the second period, we have different conclusions. The bellicosity threshold is around 0.2 (for the previous period, this is 0.3), and the alliance propensity threshold is around 0.8 (for the previous period, this is 0.7). Moreover, the higher winner cost (beyond 5%) makes it impossible to achieve Unity. This work has one new contribution, such as solving social knowledge. We use BP neural networks to evaluate the knowledge graph to support history learning. It explains civilization patterns for humankind.
Exploring participatory communication implemented to improve the livelihood of rural Ethiopia
Authors: Gebeyehu Hailemesekel Zewedie , Jira Yohannes Shiferaw
Published: November 2023

The study aimed to explore how participatory communication can be used as an instrument for interventions enhancing agricultural production to improve the livelihoods of rural people. Specifically, it was designed to explore the nature of participatory approaches in the Ethiopian agricultural sector. The top-down approach that prevailed in the past lost its faith, and consequently, stakeholders practiced a participatory communication approach. Thus, explorative qualitative research was applied through focus group discussions and in-depth interviews to collect data. Data were transcribed, documented, coded, and thematically analyzed based on recurring themes. The findings show that if properly implemented, development agents and agricultural experts believe that participatory communication is instrumental in mobilizing the community. However, the routine does not allow development agents and experts to use the participatory approach. Besides, farmers are not given sufficient time due to insufficient interaction and communication on agricultural issues. Farmers and development agents have no ongoing, programmed, and frequent contact. The communication between development agents and higher-level agricultural experts is mainly top-down. Provincial and regional experts do not regularly visit and observe farm sites; they depend on the monthly paper report to execute modifications to the annual plan. There is no practical obligation with the consensus that demands farmers, development agents, and experts accomplish their tasks and duties on time with maximum effort. No dialogical session is available for the community to discuss their matters. Therefore, we suggest stakeholders use a multilevel and inclusive intervention in rural agriculture.
The mediating effects of entrepreneurial self-efficacy in the relationship between entrepreneurship education and start-up readiness
Authors: Adeniyi Adeshina Olushola
Published: November 2023

Abstracts

In Nigeria, there is a growing concern that graduates from science and engineering fields are not ready for entrepreneurship due to low business creation among young individuals. Another perspective suggests that entrepreneurship curriculum only prepares the students to seek for employment rather than become entrepreneurs. Previous studies have revealed that there are several cognitive factors responsible for readiness to start a business other than entrepreneurship education. The purpose of this study is to determine social cognitive factors that can stimulate start-up readiness. Thus, this study examined the mediating effects of entrepreneurial self-efficacy (ESE) in the relationship between entrepreneurship education and start-up readiness. Three dimensions of entrepreneurship education and four dimensions of ESE were examined as determinants of start-up readiness using survey research approach. Data from 289 exit-level students from three Technical Vocational Education and Technology (TVET) colleges were analysed using SPSS 25 and Smart PLS 4 software. Entrepreneurship education (in terms of technical skills and business management skills) shows partial support for ESE (in terms of searching, planning, and implementing). However, entrepreneurship education (in terms of personal skills) only shows support for ESE (in terms of marshalling). The results of the mediation analysis suggest that ESE (in terms of searching, planning, and implementing) partially mediates the relationship between entrepreneurship education and start-up readiness, while ESE marshalling failed to mediate the relationship between entrepreneurship education and start-up readiness. This study also revealed that apart from ESE marshalling, all components of ESE have a direct and significant relationship with start-up readiness. Another contribution of this study indicates that personal entrepreneurial skills are required antecedent for enhancing business resources gathering skills towards start-up readiness among young individuals in Nigeria. The study suggests fostering entrepreneurial mindset via simulation-based techniques, role playing, and mentoring with practical translations.