bluuebunny/crossref_metadata_2025 huggingface dataset:
Rumour detection using Graph Neural Network and oversampling in the benchmark Twitter datasets
Authors: Patel Shaswat , Bansal Prince , Kaur Preeti
Published: October 2023

Social media has become a significant source of essential facts and alarming falsehoods, including rumours. A significant increase in rumour spreading has occurred due to the lack of an autonomous rumour detection mechanism, causing widespread and severe social repercussions. To address this challenge, we present a ground-breaking method for developing an automatic rumour detection system, focusing on the fundamental problem of class imbalance in rumour detection. Our method selectively uses oversampling to obtain a uniformly distributed dataset by leveraging contextualised data augmentation techniques to generate synthetic samples for underrepresented classes. Additionally, we effectively recreate non-linear dialogues inside a thread using two novel graph neural networks (GNNs), which improves the system's capacity to understand complex links between postings. Our method employs a distinctive feature selection mechanism to enhance further Twitter representations based on the state-of-the-art BERTweet model. The thorough analysis of our methodology using three publicly accessible datasets yielded compelling results: 1) Our GNN models outperformed the most state-of-the-art classifiers in F1-score by more than 20%. Emphasizing the importance of our approach to developing sophisticated rumour detection systems. 2) By utilizing our oversampling method, we significantly improve the F1-score by 9%, highlighting the practical implications of resolving class imbalance. 3) Our technique delivers further performance increases through non-random selection criteria for data augmentation, with the selection of relevant tweets highlighting the significance of our novel augmentation strategy. 4) Notably, our approach captures rumours in their early stages more effectively than previous classifiers, establishing a baseline for future works. The innovative aspects of our proposed method lie in its ability to solve class imbalance effectively, outperform existing classifiers in terms of performance, and drastically reduce the propagation of rumours and false information on social media platforms. Our study lays the way for developments in rumour detection by offering a comprehensive solution, eventually helping to ensure the veracity of information flowing online. We are confident that our findings have an influence on the broader field of rumour detection systems and provide fresh directions for further study.
Bioinformatics analysis of the prognostic significance of VPS72 and correlations with immune infiltrates in hepatocellular carcinoma
Authors: Gui Huihui , Gui Yonghui
Published: October 2023

Background
VPS72 forms part of the EP400 and Snf2-related CBP-activator protein (SRCAP) chromatin remodeling complexes. The prognostic value of VPS72 in hepatocellular carcinoma is not known.
Methods
We used the ONCOMINE, UALCAN, GEPIA, STRING and TIMER databases to study the expression of VPS72 in hepatocellular carcinoma.
Results
We found that VPS72 overexpression was markedly correlated with both clinical stage and pathological grade in Liver hepatocellular carcinoma (LIHC), and that higher mRNA expression of VPS72 was significantly related to shorter overall survival. Moreover, we observed significant differences in the hypermethylation of the VPS72 promoter in liver cancer. Furthermore, we identified significant correlations between the expression of VPS72 and the infiltration of B cells, CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells in LIHC. We then investigated the VPS72 protein interaction network using STRING.
Conclusion
VPS72 may be useful as a prognostic biomarker and immunotherapeutic target in LIHC patients.
Transcriptomics and root morphology analyses reveal the molecular mechanisms underlying the interaction between Mengnong Clover No.1 and rhizobium
Authors: Cao Kefan , Mu Yingtong , Liu Jiawei , Suo Rongzhen , Zhang Huimin , Ma Yiming , Wang Mingjiu
Published: October 2023

Background The regulatory mechanisms underlying symbiotic nitrogen fixation between rhizobium and legumes remain unclear.
Results In this study, integrated transcriptomics and root morphology analyses revealed that the inoculation of five rhizobial strains significantly increased root length, the number of tips, and nodule size in Mengnong clover No.1. Key genes involved in nitrogen metabolism, MAPK, and plant hormone signaling pathways were initially downregulated but later upregulated during the nodulation process, indicating their temporal regulatory roles in response to rhizobial infection. qRT-PCR confirmed the dynamic changes in gene expression.
Conclusions This study provides a comprehensive understanding of the essential molecular mechanisms involved in rhizobium-Mengnong clover No.1 symbiotic nitrogen fixation, laying the theoretical foundation for improving crop yields.
miRNA-seq analysis of high glucose induced osteoblasts provides insight into the mechanism underlying diabetic osteoporosis
Authors: Zhang Yang , Li Mengying , Lou Pengqiang , Zhang Minjie , Shou Dan , Tong Peijian
Published: October 2023

Diabetic osteoporosis (DOP) is a chronic complication resulting from diabetes mellitus. The objective of this study is to investigate the underlying pathological mechanisms responsible for bone loss in DOP. Specifically, we aimed to screen the miRNA biomarkers of DOP and investigated whether miRNAs regulate the osteoblasts and thus contribute to DOP. To achieve this, an animal model of DOP was induced through the administration of streptozotocin and subsequent treatment with a high fat diet. Bone microarchitecture and histopathology analysis were carried out. Rat calvarial osteoblasts (ROBs) were induced by high glucose (HG). MiRNA-sequencing was employed to compare the miRNA profiles of HG-induced ROBs and control ROBs. The proliferation and mineralization abilities of ROBs were assessed using MTT assay, alkaline phosphatase, and alizarin red staining. The expression levels of osteoglycin (OGN), Runx2, and ALP were determined through qRT-PCR and Western blot analysis. The miRNA-sequencing results revealed a significant upregulation of miRNA-702-5p. The luciferase reporter gene was utilized in order to investigate the correlation between miR-702-5p and OGN. In vitro experiments demonstrated impaired proliferation and mineralization abilities induced by high glucose. The expressions of OGN, Runx2, and ALP were found to be inhibited. Interference of miR-702-5p resulted in the downregulation of OGN, Runx2, and ALP, which were subsequently upregulated through OGN overexpression. Furthermore, the downregulation of OGN and Runx2 in the femurs of DOP rat models has been confirmed. Consequently, it is reasonable to propose that the miRNA-702-5p/OGN/Runx2 signaling axis could potentially function as a mechanism underlying DOP. This newly discovered mechanism holds promise as a diagnostic biomarker and therapeutic target not only for DOP but also for other forms of osteoporosis.
Stochastic Fractional Conservation Laws: Large deviation principle, Central limit theorem and Moderate deviation principle
Authors: Behera Soumya Ranjan , Majee Ananta Kumar
Published: October 2023

In this article, we establish the Freidlin-Wentzell type large deviation principle and central limit theorem for stochastic fractional conservation laws with small multiplicative noise in kinetic formulation framework. The weak convergence method and doubling variables method play a crucial role. As a consequence, we also establish moderate deviation principle for the underlying problem.
Neural Network (ConvNN & CapNN) based joint synchronization of timing and frequency for CO-OFDM system
Authors: Kaur Gurpreet
Published: October 2023

The Quantum Noise Stream Cipher (QNSC) is offering very high security in physical layer of optical fiber communication network to meet the today’s main requirement of secure networks. However, the problem of timing and carrier frequency offset synchronization was higher for CO-OFDM systems using QNSC for network security. For higher-order modulation systems, the algorithms used to overcome this problem are offering very low accuracy. In addition to this, the chances of attack by an illegal receiver are more due to no encryption used for the preamble creation. Existing algorithms used to create a new preamble is: CNI (conjugate, negative, and image) with PN sequence and CNC (conjugate and negative) with Chu sequence. In this paper, ConvNN (Convolutional Neural Network) and CapNN (Capsule Neural Network) based joint synchronization of timing and frequency for CO-OFDM system is proposed. From the experiments, performed at 10Gbps, it has been illustrated that the proposed networks are giving more robust results. In addition to these proposed networks are offering better and secure performance for both timing and frequency offset synchronization by using less training data.
Research on rock mass structure classification of adit based on 3D block index
Authors: Dong Jun , Chen Qingqing , Yuan Guangxiang , Xie Kaiyan
Published: October 2023

This article takes the long exploratory tunnel CPD1 of the water transmission and power generation system of Qingtian Pumped Storage Power Station in Zhejiang Province as the research object, and conducts a study on the classification of flat tunnel rock mass structure based on three-dimensional joint network simulation. Based on the grouping distribution of joints, statistical homogeneous zone segmentation is conducted, and a three-dimensional joint network model is generated based on statistics and probability, with each segment as a unit. On the front, side, and top surfaces of the 3D joint network model, virtual survey lines are arranged along the centroid and other angles to represent drilling holes. The RBI values of 108 virtual survey lines on three orthogonal planes are calculated, and the 3D block index of the rock mass is used to refine the classification of the rock mass structure in the adit. The results indicate that the rock mass structure type of CPD1 in the long exploration tunnel is from overall to block structure, with integrity ranging from complete to relatively complete.
Dynamics of an SIS patch model with delayed media impact
Authors: Zhang Hua , Wei Junjie
Published: October 2023

In this paper, we study an SIS epidemic patch model with media delay. We define the basic reproduction number $\mathcal{R}_0$ and show that the disease-free equilibrium is globally asymptotically stable if $\mathcal{R}_0<1$ and the disease is uniformly persistent if $\mathcal{R}_0>1$. When the dispersal rates of susceptible and infected populations are identical and less than a critical value, we prove that the limiting model has a unique positive equilibrium, and analyze the stability of the positive equilibrium and the local and global existence of Hopf bifurcations. Finally, some numerical simulations are performed.
MSC 2010: 92D25, 92D50, 34K13, 34K18
Exploring the impact of ‘hostile environment’ policies on psychological distress of ethnic groups in the UK: a differences-in-differences analysis
Authors: Dotsikas Kate , McGrath Michael , Osborn David , Walters Kate , Dykxhoorn Jennifer
Published: October 2023

Purpose
In 2012, the UK government announced policies designed to create a ‘hostile environment for illegal migration.’ This included sweeping changes immigration legislation which included the introduction of immigration controls enforced by employers and landlords and anti-migrant rhetoric in the press. In this paper, we measured changes in psychological distress among people from ethnic minoritised groups compared to White British controls from prior to the introduction of the hostile environment policies through their implementation.
Methods
We used Understanding Society, a UK longitudinal household survey from 2009 to 2020 (Waves 1 to 10). We included six ethnic groups: Bangladeshi, Black African, Black Caribbean, Indian, Pakistani, and White British. We used difference-in-difference models to estimate the marginal mean psychological distress score, as measured by the General Health Questionnaire (GHQ-12) during the three eras: pre-policy era (2009–2012); (2) transition era (2012–2016); and (3) ongoing policy era (2016–2020).
Results
In the pre-policy era, we found elevated levels of psychological distress (marginal mean = 2.70), Bangladeshi and Caribbean groups (marginal mean = 2.47) compared to the White British group (2.08). Psychological distress increased during the transition era for the Pakistani and Bangladeshi groups (2.92 and 2.71, respectively), and continued to rise in the ongoing policy era for the Bangladeshi group (2.80). We observed lower psychological distress in the African group in the pre-policy era (2.16), decreasing in the transition era (1.91), and a small increase in the ongoing policy era (1.95). The Indian group showed similar patterns to the African group. In contrast, psychological distress remained stable across all three eras for the White British group.
Conclusion
Psychological distress increased in Pakistani and Bangladeshi individuals following the introduction of hostile environment policies. We did not find an impact for Indian, African, or Caribbean groups. This finding underscores the importance of disaggregating analyses by ethnic group to capture the distinct identities and experiences and how these intersect with mental health.
The Impact of Reference Group on the new product adoption
Authors: Abdou Naiyera Hassan
Published: October 2023

The purpose of this study is to determine what specifically the reference groups are, and what the new product adoption is and what the social factors that can affect it are. And to figure out whether there’s a direct relationship between formal and informal reference groups and the new product adoption. Then, the two major types of reference groups, formal and informal, will be identified. Finally, the theoretical framework will make its way toward investigating the variant reference groups sub-types’, and how they can influence the new product adoption. A survey-based research strategy has been adopted a survey of 411 respondent. The sample’s majority aged less than 40 years with post-graduates’ education and worked in private organizations. The findings of this study supported the hypotheses if there is a relationship between opinion leaders, celebrities (formal reference groups) and family members and friends (informal reference groups)on the new product adoption. Finally, it was concluded that opinion leaders had the highest significant influence when it comes to product adoption. Celebrities as well as friends had also a significant impact on product adoption. Family on the other hand had an insignificant impact on product adoption.. This study was done to understand the impact of reference groups influence on the product adoption. It observed the effect of reference group influence improve the adoption of new products.
A Scoping Review On The Impact Of Algorithm Bias On The Perceived Fairness
Authors: Saryazdi Amirhossein Hajigholam , Mirhosseini Mahdi
Published: October 2023

Artificial intelligence (AI) based algorithms increasingly shape our daily lives. These algorithms can be biased in a way that compounds injustice in society. This affects how people perceive the fairness of the algorithms, but little is known about the mechanism and scope. To address this research gap, this study conducts a scoping literature review of published papers representing the current state of the research. Then develops a novel theoretical model about the impact of algorithm bias on perceived fairness by synthesizing common themes namely: algorithm bias, algorithm fairness, perceived fairness, individual characteristics, social characteristics, task characteristics, and technology characteristics. The paper concludes by formulating propositions that highlight the significant gap in the literature, contribute to a better understanding of the relationships between identified themes and their components, and provide a roadmap for future research.
Exploratory study on the influence of geometric parameters on buckling and post-buckling behaviors of composite curved plates under external pressure
Authors: Li Chenghu
Published: October 2023

This paper investigates the effects of various geometric parameters, such as ply angle, side length, aspect ratio, curvature, and thickness, on the buckling and post-buckling behaviors of composite curved plates under external pressure. For this purpose, a model for nonlinear buckling analysis is proposed, and an experimental device is designed for the study. Analysis results indicate that the external pressure deformation of the composite curved plate can be divided into three stages: non-buckling, buckling, and post-buckling stages. The buckling region of the curved plate under external pressure is primarily localized in two regions: the central region of the curved plate (an ellipse) and the non-central region (two ellipses). Buckling occurs in one of these two regions based on the geometric parameters of the curved plate, and in a few cases, it occurs in both regions simultaneously. The study found that a few curved plates with specific geometric parameters exhibit instability in the post-buckling stage. Moreover, the study results indicate the significant changes in the critical buckling external pressure of the curved plates in response to changes in the geometric parameters of the curved plates.
Investigating the Use of Virtual Reality to Improve Speaking Skills: Insights From Students and Teachers
Authors: Ironsi Chinaza Solomon
Published: October 2023

There is ongoing scientific discussion on the role of innovative technologies in enhancing teaching and learning. Technologies like Augmented Reality, Virtual Reality, Mixed Reality, Artificial Intelligence, and Generative Artificial Intelligence have sparked debates in the broader literature. To contribute to ongoing discussions on these topics and to bridge gaps existing in works of literature on the potentials and challenges of innovative technologies like Virtual Reality, this paper provides insights from students and teachers on the use of Virtual Reality for teaching speaking skills so far lacking in academic prose in this domain. Given that this study only focused on obtaining student and teacher insights, a mixed-method research design that used questionnaires and interviews was implemented to investigate this study. After obtaining and analyzing data from 85 participants, the study found that although Virtual Reality could have improved students' speaking skills more efficiently, it was a fun and exciting learning experience for the students and teachers. Other novel findings of the study were instrumental in making pedagogic conclusions on the study's objective.
Dynamic physical-geological model of complex folding according to paleomagnetic data
Authors: Konstantinov K. M.
Published: October 2023

The purpose of the study is to evaluate the possibility of using the mathematical apparatus of spatial rotations to solve the determination issues of the nature and age of natural remanent magnetization vectors under complex tectonic dislocations of rocks manifested in the areas of modern folded structures of platform framing. Dynamic physical-geological models are shown to be useful when forming complex tectonic-magmatic systems. Mathematical (computer) modeling in comparison with other methods of studying geological processes features higher accuracy, cost-effectiveness and unambiguity of data interpretation in achieving the set goal. On the basis of dynamic physical-geological model of complex folding, an algorithm is developed and the results of mathematical modeling of natural remanent magnetization vectors are given for solving direct and inverse problems on correct application of the fold test under complex rock deformations. The dynamic physical-geological model of complex folded structure formation shows that the characteristic natural remanent magnetization vectors identified in laboratory experiments on demagnetization can be used to determine their age relative to the folding stages, and, depending on this, fully or partially restore the number, sequence and direction of tectonic dislocations. This will enable us to solve the mineralogenic and geodynamic problems of folded region development more effectively on the basis of paleomagnetic data.
Methodology of experimental filtration studies (releases) from high-pressure inter-salt productive deposits of industrial lithium-bearing brines of the hydrogeological halogen-carbonate formation of the Siberian platform
Authors: Lankin Yu. K. , Vakhromeev A. G.
Published: October 2023

It is known that all our knowledge about the industrial brines of the Siberian platform was obtained while drilling wells for oil and gas whereas targeted studies of brine-bearing horizons in deep wells for hydrocarbons are hardly conducted. One of the reasons is the high daily rate in the drilling cycle resulting in carrying out strictly limited additional works not related to drilling. Meanwhile, the geological results including the forecast, the estimation of the calculated parameters of the section productive intervals, the exploration and development methodology of deposits of industrial metal-bearing brines with abnormally high reservoir pressure directly depend on the data of the hydrodynamic studies. Today, large companies – subsurface users of the south of the Irkutsk region are tasked to determine the methodology of short-term pilot releases, which provides correct input data for reserve calculation of industrial brines of natural inter-salt carbonate fractured reservoirs of the hydrogeological halogen-carbonate formation. To determine a reliable permeability coefficient under the experimental filtration work, it is necessary to achieve a quasi-stationary filtration mode. The optimal mode is an intermittent one of brine release with a constant flow rate at the same time intervals with a continuous recording of pressure changes by the telemetry system. The results of pilot releases implemented at the Znamenskiy site of the Angara-Lena deposit of industrial lithium-bearing brines have been considered. The release methods enabling the performance of experimental filtration work in a short time, and applicable in well construction for hydrocarbon production have been proposed. Surface users can carry out the research using the proposed methodology in the case when the well bottom unexpectedly opens a brine formation with an abnormally high reservoir pressure of the fluid system. The implementation of experimental filtration work employing the described methods allows the subsoil users to substantiate the resource base of industrial brines and the elements in them including lithium, rubidium, cesium, bromine, iodine and other rare, trace elements and mineral salts.
Risky sexual behavior and associated factors among in-school adolescents: a school-based, cross-sectional study
Authors: Habeeb Omoponle Adewuyi , Veronica Dwarika
Published: October 2023

Despite increased sexual education, secondary school students in Nigeria are still engaging in risky sexual behavior. This may be due to various social, psychological, and physical factors. The study looked at how family structure, peer pressure, and self-esteem affected the likelihood that adolescents in Ibadan, Oyo State, Nigeria, would engage in risky sexual behavior. For this study, a descriptive research design using correlational data was adopted. The study adopted the purposive sampling method in selecting 200 in-school adolescents. Valid and standardized instruments including risky sexual behavior rating scale (α=0.758), peer pressure scale (α=0.714), self-esteem scale (α=0.826) and family structure scale (α=0.827) were used for information gathering. Three research questions were raised and answered.

Data collected was analyzed using simple percentages, Pearson product-moment correlation, and multiple regression statistical method at the 0.05 level of significance. Findings revealed that risky sexual behavior of secondary school students is significantly correlated with peer pressure (r=.594; p<.05), self-esteem (r=.605; p<.05), and family structure (r=.521; p<.05). The value of R=.783 and adjusted R2=.613 were observed. The analysis of variance, performed on the multiple regressions, yielded an F-ratio value of 98.056. In terms of the magnitude of contribution, self-esteem made the most significant contribution (β=.509; t=8.647; p<0.05) to the prediction, followed by peer pressure (β=.342; t=3.545; p<0.05) and family structure (β=.223; t=1.348; p<0.05).

Based on these findings, it was concluded, that peer pressure, self-esteem, and family structure influence risky sexual behavior of adolescents. It is therefore recommended, that students’ sense of self is very important and should be improved and also that students should be guided, particularly in meeting different categories of people in the school setting, such as peers, teachers, and others with varying degrees of sexual attitudes because it affects the students’ sexual behaviors.
Tensor network variational optimizations for real-time dynamics: Application to the time-evolution of spin liquids
Authors: Ponnaganti Ravi Teja , Mambrini Matthieu , Poilblanc Didier
Published: October 2023

Within the Projected Entangled Pair State (PEPS) tensor network formalism, a simple update (SU) method has been used to investigate the time evolution of a two-dimensional U(1) critical spin-1/2 spin liquid under Hamiltonian quench [Phys. Rev. B 106, 195132 (2022)]. Here we introduce two different variational frameworks to describe the time dynamics of SU(2)-symmetric translationally-invariant PEPS, aiming to improve the accuracy. In one approach, after using a Trotter-Suzuki decomposition of the time evolution operator in term of two-site elementary gates, one considers a single bond embedded in an environment approximated by a Corner Transfer Matrix Renormalization Group (CTMRG). A variational update of the two tensors on the bond is performed under the application of the elementary gate and then, after symmetrization of the site tensors, the environment is updated. In the second approach, a cluster optimization is performed on a finite (periodic) cluster, maximizing the overlap of the exact time-evolved state with a symmetric finite-size PEPS ansatz. Observables are then computed on the infinite lattice contracting the infinite-PEPS (iPEPS) by CTMRG. We show that the variational schemes outperform the SU method and remain accurate over a significant time interval before hitting the entanglement barrier. Studying the spectrum of the transfer matrix, we find that the asymptotic correlations are very well preserved under time evolution, including the critical nature of the singlet correlations, as expected from the Lieb-Robinson (LR) bound theorem. Consistently, the system (asymptotic) boundary is found to be described by the same Conformal Field Theory of central charge c = 1c=1 during time evolution. We also compute the time-evolution of the short distance spin-spin correlations and estimate the LR velocity.
Water footprint approach in measuring the potential of bioenergy production from agricultural products
Authors: Zeng Fangfang
Published: October 2023

Promoting the supply of energy from biomass to reduce the emission of greenhouse gases has resulted in focusing on the production of important products from the perspective of energy and, ultimately, increasing water consumption. Therefore, in the present study, an index called water footprint was used to investigate the link between water and bioenergy. For this purpose, information related to grain maize crops was collected in the study plains of Fujian Province in eastern China. Based on the calculations, it was found that the water footprint of maize products in the province was equal to 3,728 m3/ton on average, and the water footprint of its biomass was estimated to be 219.6 m3/ton. Moreover, the investigation of the water footprint of maize biomass energy showed that the highest and lowest water footprints per unit of energy are found in Ningde and Zhangzhou, respectively. It was also found that the plains of Zhangzhou, Ningde and Xiamen have little priority for biomass production because the water footprint of their biomass energy is less than 900 MJ/m3. On the other hand, Nanping and Putian plains with bioenergy water footprints between 1,500 and 1,800 MJ/m3 have high priority for using maize biomass for energy production.
Review on descaling and anti-scaling technology of heat exchanger in high-salt wastewater thermal desalination
Authors: Wu Zhigen , Yan Zihan , Zhang Qinghong , Zhu Yuting , Luo Maohui , Zhou Dan
Published: October 2023

Thermal desalination evaporation of high-salt wastewater has been widely used in industry because of the proposed concept of ‘zero liquid discharge’. However, due to the high content of Ca2+ and Mg2+ in high-salt wastewater, the heat exchanger, as the main treatment equipment, suffers from serious scaling problems. This review presents descaling and scale inhibition technologies of high-salt wastewater. The advantages and disadvantages of various technologies are summarized and analyzed to provide theoretical support for the research of descaling and anti-scaling of heat exchangers with high-salt wastewater. In future industrial development, the synergistic application of electromagnetic water treatment technology and scale inhibitors can significantly improve the anti-scaling effect, which can reach over 95% stably. Furthermore, the addition of a physical field can also expand the application range of scale inhibitors.
A Combination of EGFR Inhibitors and AE-PDT Could Synergistically Suppress
Breast Cancer Progression
Authors: Niu Yajuan , Guo Xiya , Han Wang , Han Xiaoyu , Li Kaiting , Tian Si , Zhu Ying , Bai DingQun , Chen Qing
Published: October 2023

Background:

Breast cancer is the most frequently diagnosed malignancy and the leading cause of cancerrelated
deaths in women. Activation of EGFR by EC-secreted EGFR ligands promotes breast cancer progression. Current
treatments provide limited benefits in triple-negative breast cancer (TNBC). Photodynamic therapy (PDT) has
been proven effective for the treatment of TNBC through the EGFR pathway, but the underlying mechanism is still
unclear.

Purpose:

The purpose of this study was to determine the role of the EGFR pathway in the treatment of PDT on TNBC
in a co-culture system.

Methods:

MB-231 and HUVEC were co-cultured for experiments (HU-231). Cell viability and ROS production were
detected after AE-PDT, a combination of EGFR inhibitors (AEE788)with PDT to test angiogenesis, apoptosis, and
pyroptosis. WB detects expression of EGFR. EGFR, P-EGFR, VEGF, caspase-1, capase-3, and GSDMD .

Results:

AE-PDT inhibited HU-231 cell proliferation and tumor angiogenesis, and induced cell apoptosis and pyroptosis
by promoting ROS production. AEE788, an inhibitor of the EGFR, enhanced HU-231 cell killing after AE-PDT

Conclusion:

Our study suggested that the combination of EGFR inhibitors and AE-PDT could synergistically suppress
breast cancer progression, providing a new treatment strategy.
DOES DIGITAL MARKETING BASED ON BRAND IMAGE AND BRAND TRUST AFFECT PURCHASE DECISIONS IN THE FASHION INDUSTRY 4.0?
Authors:   Management Program, Universitas Ciputra Surabaya, Indonesia, Ilmi Sayyidah Hafidhatul , Harianto Eric ,   Management Program, Universitas Ciputra Surabaya, Indonesia, Mas’ud Riduan ,   Islamic Economics and Business, Universitas Islam Negeri Mataram, Indonesia, Azizurrohman Muhammad ,   Southern Taiwan University of Science and Technology
Published: October 2023

Factors forming purchasing decisions are important for companies to analyze to be sustainable in rapid technological developments. The rapid development of technology is followed by e-commerce in Indonesia, which results in increasingly fierce competition between competitors. This study aims to analyze and examine the impact of digital marketing on brand trust and brand image that influence the purchase decision of Mirrorplus.id products. Data collection uses quantitative methods by distributing question­naires to Mirrorplus.id consumers. The study was conducted from July 2021 to January 2022. The sampling technique used purposive sampling with sever­al criteria and 139 respondents. The data analysis technique used SEM-PLS with the help of SmartPLS 3.2.9. The results of the study yield several conclu­sions, namely, digital marketing has a significant and positive effect on brand image and brand trust, brand image does not have a significant but positive effect on purchasing decisions, and brand trust has a significant and positive effect on purchasing decisions. The implication that will be carried out is to carry out a market penetration and product development strategy. Market penetration can be done by adding promotion and marketing costs to Mirror­plus.id digital media. Some steps can be taken are collaborating with several influencers, where influencers can spread the Mirrorplus.id brand by explain­ing product functions and values.
THE FORMAL SECTOR LABOR PERFORMANCE UNDER THE SHADOW OF JOB AUTOMATION
Authors:   Departement of Management Institut Bisnis dan Informatika (IBI) Kosgoro 1957, Indonesia, Andriyanty Reny , Bachri Syamsul ,   Departement of Management Institut Bisnis dan Informatika (IBI) Kosgoro 1957, Indonesia, Rambe Delila ,   Departement of Management Institut Bisnis dan Informatika (IBI) Kosgoro 1957, Indonesia, Majid Abdul Halim Abdul ,   School of Business Management (SBM) College of Business, Universiti Utara Malaysia, Malaysia
Published: October 2023

Data on formal sector employment in DKI Jakarta shows a significant and negative relationship between investment and employment. Now, industries are more capital-intensive and prefer to implement automation, IoT robotics, and artificial intelligence. The purpose of this study was to build a model of the relationship between character, work ability, organizational commitment, and organizational culture as they relate to the performance of formal sector employees. The research method was descriptive quantitative. The sampling technique was non-probability sampling. Samples were determined by accidental sampling and were collected from 151 respondents who were formal sector employees of DKI Jakarta. Structural Equation Model applied in data processing. The results of the research indicated that Character factor and workability have a significant direct influence on employee performance on formal sector employees in DKI Jakarta. Only the organizational commitment factor is not significantly correlated directly to performance. Indirect relationship analysis states that organizational culture through organizational commitment correlates with character and workability factors which ultimately have an impact on performance. The implication of this research shows that the creativity factor and environmentally friendly work behavior need to be improved by employees.
HOW BRAND TRUST MAKES PRICE AND SERVICE QUALITY SATISFY CUSTOMER INFORMATION TECHNOLOGY
Authors:   Perbanas Institute, Indonesia, Krisnanto Umbas , Natanugraha Fiksa Atlita ,   Perbanas Institute, Indonesia
Published: October 2023

Customer satisfaction is an important factor in the success of an institution or company. It causes the firm to strive to provide the best service to its customers to create customer satisfaction. Customer satisfaction can be determined by the customer's perception and experience of the performance of using a product or service that can meet his expectations. Customer satisfaction will be achieved after the customer uses a product or service. The customer's wants and needs can be fulfilled and exceed his expectations. Five main things influence customer satisfaction: product quality, service quality, price, emotional factors, and the ease of obtaining the product or service. This study aims to analyze the effect of service quality, product quality, and price on customer satisfaction with brand trust as a mediating variable in information technology companies. The data in this study were processed using the Smart-PLS version 3 application. This study used a saturated sample of 450 respondents who worked for information technology company partners. Respondents filled out questionnaires using Google Forms. The results partially showed that service quality, product quality, price, and brand trust had significant and positive effects on customer satisfaction, while for the mediating effect, this study found that brand trust was able to mediate the effect of product quality on customer satisfaction but had not been able to mediate the effect between service quality on satisfaction customers and price on customer satisfaction. This research implies that information technology consumers do not buy services or products based on brand trust but on the services or products offered. Further research is needed to strengthen or weaken this phenomenon.
GREENING THE TOURISTS: ANALYZING THE DRIVERS OF ENVIRONMENTALLY RESPONSIBLE TOURISM BEHAVIOR
Authors:   Universitas Pembangunan Nasional Veteran Jakarta, Hadi Prasetyo , Johan Ahmad ,   Prodi Administrasi Bisnis, Sekolah Tinggi Ilmu Administrasi Bandung
Published: October 2023

The concept of green tourism has started to gain attention since it is seen as a practice that can reduce carbon emissions, environmental degradation, and detrimental impacts on the environment and tourists' activities. As the main actors within the tourism industry, tourists are also encouraged to start to have concerns for the environment when they visit a destination. This study attempts to identify the driving factors of tourists' environmentally responsible behavior by examining how green mindfulness, green knowledge, and individual green value of tourists influence attitudes towards green tourism, which then affect their intention and conduct to participate in green tourism. Through the quantitative method, this study employs a survey administered to 330 respondents who visited tourist destinations in West Java Province, Indonesia. The data obtained is analyzed using Structural Equation Modeling with Partial Least Square (SEM-PLS). Green mindfulness, knowledge, and individual values positively influence tourists' attitudes toward green tourism. Furthermore, attitude toward green tourism leads to the intention to participate in green tourism and eventually to environmentally responsible tourism behavior. This study forms a framework that explains the formation of pro-environmental behavior from visitors who have positive views, perceptions, and values toward the environment. Managers of tourist attractions can look for ways or alternatives to increase green mindfulness, knowledge, and value from tourists. Even though the visitors themselves can own this, the manager can grow it by providing information about green tourism on their website, social media, brochures, or information channels. This study offers new insight into how to boost the environmentally responsible behavior of tourists while visiting tourism destinations by utilizing the extended theory of planned behavior. It sheds light on green tourism from the side of the tourists by establishing the model of green tourists' behavior.
THE INFLUENCE OF AWARENESS, TRIAL, PREFERENCE, DEVOTION, AND FANATICISM ON THE REPURCHASE INTENTION OF INDOMIE PRODUCTS
Authors:   Institut Pertanian Bogor (IPB University), Qital Dari Aulia , Munandar Jono M. ,   Institut Pertanian Bogor (IPB University), Aidi Muhammad Nur ,   Institut Pertanian Bogor (IPB University)
Published: October 2023

The purpose of this study is to analyze the level and influence of awareness, trial, preference, devotion and fanaticism of Indomie customers in Jabodetabek. The research was carried out using an online questionnaire given to respondents who were consumers of Indomie products in Jabodetabek. Based on the descriptive analysis of Indomie consumers in Jabodetabek, the level of awareness is very good, the level of trial is good, the level of preference is good, the level of devotion and fanaticism tends to be quite good. As for purchase intention, purchase decision and repurchase intention, they are included in the fairly good criteria. Judging from the results of the hypothesis testing, it is known that The results indicate that awareness significantly influences both purchase intention and purchase decision. Similarly, trial positively impacts purchase intention and purchase decision. Furthermore, preference has a significant effect on purchase intentions but not on purchase decisions. The findings also reveal that preference does significantly affect repurchase intention. Devotion significantly influences the repurchase decision. But contrary to expectations, devotion does not affect repurchase intentions. Similarly, fanaticism has no significant effect on purchase decisions. Lastly, the study confirms that fanaticism influences repurchase intention, purchase intention influences purchase decision, and purchase decision positively affects repurchase intention. That highlights the importance of the initial purchase decision in shaping future repeat purchases.
ISLAMIC SCHOOL IMAGE AND SERVICE QUALITY ON ISLAMIC ELEMENTARY SCHOOLS: THE ROLE OF WORD OF MOUTH AS MEDIATION
Authors:   Universitas Islam Riau, Hamzah Hamzah , Syarif Miftah ,   Universitas Islam Riau, Purwati Astri Ayu ,   Institut Bisnis dan Teknologi Pelita Indonesia, Sudarno Sudarno ,   Institut Bisnis dan Teknologi Pelita Indonesia
Published: October 2023

In the current era, schools founded by private parties are increasing. Of course, it increases the competition between these private and public schools. Schools with international concepts, for example, have also become many choices for prospective students. Besides that, religion-based schools such as Christian, Buddhist, or Islamic schools are also an option now. For this reason, this study aimed to analyze the role of school Islamic image, service quality, and word of mouth on parents' decisions to choose private Islamic schools in Pekanbaru. This type of research is quantitative research. This study used 200 parents of grade 1 students at a private Islamic elementary school in Pekanbaru as samples, and the sampling technique used was simple random sampling. A structural equation model (SEM) with PLS is the data analysis technique. The results of this study indicate that Islamic school image has no significant influence on word of mouth, Islamic school image has no significant influence on parents' interest, Service quality has an impact on word of mouth, Service quality has an influence on parents' interest, Word of mouth can't mediate the relationship of Islamic school image on parent's interest, and Word of mouth can mediate the relationship service quality on parent's interest. Therefore, the Islamic idea does not motivate parents to choose their children's schools. Still, the service quality is the key to increasing their competitiveness against other private schools.
Capacity Building Challenges and Strategies in the Development of New Capital City of Indonesia
Authors: Nurdin Mochamat , Baharuddin Tawakkal
Published: October 2023

This study aims to analyze the challenges faced in preparing capacity building in the context of the development of the new capital city of Indonesia and identify strategies that can be implemented to overcome these challenges. This study uses a qualitative approach by analyzing data from secondary sources, such as official government documents, research reports, and related publications. The analysis tool that is maximized is NVivo 12 Plus. The results showed that several challenges must be overcome in preparing the capacity building for developing the new capital city (IKN). These challenges include limited skilled human resources, budgetary constraints, gaps in knowledge and skills, coordination and collaboration between stakeholders, technological change, and innovation. These challenges affect the effectiveness and efficiency of development, as well as the sustainability of the development of the new capital city. In overcoming these challenges, the recommended strategy includes the government's commitment to providing adequate resources, developing supportive policies, and close cooperation between all relevant stakeholders. In addition, a participatory, inclusive, and sustainable approach is considered important to ensure the success of capacity building. Through the involvement of all parties, recognition of the needs and aspirations of the community, and the use of a sustainable approach, the development of the new capital city can run well and provide sustainable benefits for local communities.
Perovskite Oxide Thermoelectric Module - A Way Forward
Authors: Nag Abanti
Published: October 2023

In the era of renewable and sustainable energy, perovskite materials remain pioneers as energy harvesting materials, be it thermoelectric waste heat harvesting or photovoltaic solar cell application. Oxide perovskite material is an emerging thermoelectric material in solving energy shortage issues through waste heat recovery. The chemical and structural stabilities, oxidation resistance, and cost-effective and straightforward manufacturing process are a few advantages of the oxide-based thermoelectric materials. The perovskite thermoelectric materials and module thereof does not require any vacuum bagging for operation at high temperature, irrespective of the application environment. Perovskite CaMnO3 displays a high Seebeck coefficient (S~-350 μV/K) due to correlated electron structure and low thermal conductivity (3 W m-1 K-1) but high electrical resistivity simultaneously. The electrical resistivity of CaMnO3 can be tuned by electron doping at the Ca-site and Mn-site. Electron doping by substituting Mn3+ with trivalent rare-earth ions increases the carrier concentration in the CaMnO3 system by partially reducing Mn4+ to Mn3+, improving electrical conductivity without altering the Seebeck coefficient. The dual-doped Ca1-xYbx/2Lux/2MnO3-based n-type perovskite thermoelectric material showed a much higher power factor than undoped CaMnO3 and proved to be an efficient perovskite from the application point of view. The thermoelectric module, in combination with CaMnO3 as an n-type element and Ca3Co4O9 or doped-Ca3Co4O9 as the p-type element, is the most efficient device reported to date. The lab-scale power generation experiment is carried out for 4-element and 36-element modules consisting of perovskite Ca1-xYbx/2Lux/2MnO3 as n-type elements and Ca3Co4O9 as p-type elements. The results showed the challenges of up-scaling the perovskite module for high-temperature waste heat harvesting applications.
An Evidence-Based Framework for Creating Inclusive and Personalized mHealth Solutions—Designing a Solution for Medicaid-Eligible Pregnant Individuals With Uncontrolled Type 2 Diabetes
Authors: Fareed Naleef , Swoboda Christine , Wang Yiting , Strouse Robert , Hoseus Jenelle , Baker Carrie , Joseph Joshua J , Venkatesh Kartik
Published: October 2023

Mobile health (mHealth) apps can be an evidence-based approach to improve health behavior and outcomes. Prior literature has highlighted the need for more research on mHealth personalization, including in diabetes and pregnancy. Critical gaps exist on the impact of personalization of mHealth apps on patient engagement, and in turn, health behaviors and outcomes. Evidence regarding how personalization, engagement, and health outcomes could be aligned when designing mHealth for underserved populations is much needed, given the historical oversights with mHealth design in these populations. This viewpoint is motivated by our experience from designing a personalized mHealth solution focused on Medicaid-enrolled pregnant individuals with uncontrolled type 2 diabetes, many of whom also experience a high burden of social needs. We describe fundamental components of designing mHealth solutions that are both inclusive and personalized, forming the basis of an evidence-based framework for future mHealth design in other disease states with similar contexts.