bluuebunny/crossref_metadata_2025 huggingface dataset:
HDAC1 and HDAC6 are essential for driving growth in IDH1 mutant glioma
Authors: Garrett Matthew C. , Albano Rebecca , Carnwath Troy , Elahi Lubayna , Behrmann Catherine A. , Pemberton Merissa , Woo Daniel , O’Brien Eric , VanCauwenbergh Brett , Perentesis John , Shah Sanjit , Hagan Matthew , Kendler Ady , Zhao Chuntao , Paranjpe Aditi , Roskin Krishna , Kornblum Harley , Plas David R. , Lu Q. Richard
Published: August 2023

Low-grade and secondary high-grade gliomas frequently contain mutations in the IDH1 or IDH2 metabolic enzymes that are hypothesized to drive tumorigenesis by inhibiting many of the chromatin-regulating enzymes that regulate DNA structure. Histone deacetylase inhibitors are promising anti-cancer agents and have already been used in clinical trials. However, a clear understanding of their mechanism or gene targets is lacking. In this study, the authors genetically dissect patient-derived IDH1 mutant cultures to determine which HDAC enzymes drive growth in IDH1 mutant gliomas. A panel of patient-derived gliomasphere cell lines (2 IDH1 mutant lines, 3 IDH1 wildtype lines) were subjected to a drug-screen of epigenetic modifying drugs from different epigenetic classes. The effect of LBH (panobinostat) on gene expression and chromatin structure was tested on patient-derived IDH1 mutant lines. The role of each of the highly expressed HDAC enzymes was molecularly dissected using lentiviral RNA interference knock-down vectors and a patient-derived IDH1 mutant in vitro model of glioblastoma (HK252). These results were then confirmed in an in vivo xenotransplant model (BT-142). The IDH1 mutation leads to gene down-regulation, DNA hypermethylation, increased DNA accessibility and H3K27 hypo-acetylation in two distinct IDH1 mutant over-expression models. The drug screen identified histone deacetylase inhibitors (HDACi) and panobinostat (LBH) more specifically as the most selective compounds to inhibit growth in IDH1 mutant glioma lines. Of the eleven annotated HDAC enzymes (HDAC1-11) only six are expressed in IDH1 mutant glioma tissue samples and patient-derived gliomasphere lines (HDAC1-4, HDAC6, and HDAC9). Lentiviral knock-down experiments revealed that HDAC1 and HDAC6 are the most consistently essential for growth both in vitro and in vivo and target very different gene modules. Knock-down of HDAC1 or HDAC6 in vivo led to a more circumscribed less invasive tumor. The gene dysregulation induced by the IDH1 mutation is wide-spread and only partially reversible by direct IDH1 inhibition. This study identifies HDAC1 and HDAC6 as important and drug-targetable enzymes that are necessary for growth and invasiveness in IDH1 mutant gliomas.
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Authors: Lilhore Umesh Kumar , Manoharan Poongodi , Sandhu Jasminder Kaur , Simaiya Sarita , Dalal Surjeet , Baqasah Abdullah M. , Alsafyani Majed , Alroobaea Roobaea , Keshta Ismail , Raahemifar Kaamran
Published: August 2023

Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually, approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in earlier stages helps to save lives. In the HCV review, the authors used a single ML-based prediction model in the current research, which encounters several issues, i.e., poor accuracy, data imbalance, and overfitting. This research proposed a Hybrid Predictive Model (HPM) based on an improved random forest and support vector machine to overcome existing research limitations. The proposed model improves a random forest method by adding a bootstrapping approach. The existing RF method is enhanced by adding a bootstrapping process, which helps eliminate the tree’s minor features iteratively to build a strong forest. It improves the performance of the HPM model. The proposed HPM model utilizes a ‘Ranker method’ to rank the dataset features and applies an IRF with SVM, selecting higher-ranked feature elements to build the prediction model. This research uses the online HCV dataset from UCI to measure the proposed model’s performance. The dataset is highly imbalanced; to deal with this issue, we utilized the synthetic minority over-sampling technique (SMOTE). This research performs two experiments. The first experiment is based on data splitting methods, K-fold cross-validation, and training: testing-based splitting. The proposed method achieved an accuracy of 95.89% for k = 5 and 96.29% for k = 10; for the training and testing-based split, the proposed method achieved 91.24% for 80:20 and 92.39% for 70:30, which is the best compared to the existing SVM, MARS, RF, DT, and BGLM methods. In experiment 2, the analysis is performed using feature selection (with SMOTE and without SMOTE). The proposed method achieves an accuracy of 41.541% without SMOTE and 96.82% with SMOTE-based feature selection, which is better than existing ML methods. The experimental results prove the importance of feature selection to achieve higher accuracy in HCV research.
High-frequency measurement of concentration in an isothermal methane–air gas mixture using spontaneous Raman spectroscopy
Authors: Rodrigues Jocelino , Weller Lee , De Domenico Francesca , Hochgreb Simone
Published: August 2023

A high-frequency (1.5 kHz) spontaneous Raman spectroscopy measurement technique is developed and applied to measure external fluctuations generated in the local concentration of an isothermal binary gas mixture of methane and air. Raman excitation is provided by a high-frequency laser at 527 nm in dual-pulsed mode. The Stokes Raman signal is collected using an EMCCD camera coupled to a high-frequency intensifier as a shutter. The emitted signal is collected over the 596–627 nm wavelength range, which allows for the simultaneous tracking of methane and nitrogen Stokes Q-branch mode signals. Calibration curves are initially obtained for each species ($${\text{CH}}_{4}$$

CH
4

and $${\mathrm{N}}_{2}$$

N
2

) based on steady-state concentrations, and further corrected during use to detect local unsteady mixture fluctuations at gas pulsation frequencies up to 250 Hz. The main novelty is the demonstration of Raman spectroscopy for the simultaneous multispecies measurement of unsteady concentrations of gas-phase methane and air mixtures using a laser beam with a high-repetition rate, low energy per pulse, combined with a high-frequency intensifier and a single camera.
A fractional-order mathematical model for lung cancer incorporating integrated therapeutic approaches
Authors: Amilo David , Kaymakamzade Bilgen , Hincal Evren
Published: August 2023

This paper addresses the dynamics of lung cancer by employing a fractional-order mathematical model that investigates the combined therapy of surgery and immunotherapy. The significance of this study lies in its exploration of the effects of surgery and immunotherapy on tumor growth rate and the immune response to cancer cells. To optimize the treatment dosage based on tumor response, a feedback control system is designed using control theory, and Pontryagin’s Maximum Principle is utilized to derive the necessary conditions for optimality. The results reveal that the reproduction number $$(R_0)$$

(

R
0

)

is 2.6, indicating that a lung cancer cell would generate 2.6 new cancer cells during its lifetime. The reproduction coefficient $$(R_c)$$

(

R
c

)

is 0.22, signifying that cancer cells divide at a rate that is 0.22 times that of normal cells. The simulations demonstrate that the combined therapy approach yields significantly improved patient outcomes compared to either treatment alone. Furthermore, the analysis highlights the sensitivity of the steady-state solution to variations in $$k_5$$

k
5

(the rate of division of cancer stem cells) and $$k_{13}$$

k
13

(the rate of differentiation of cancer stem cells into progenitor cells). This research offers clinicians a valuable tool for developing personalized treatment plans for lung cancer patients, incorporating individual patient factors and tumor characteristics. The novelty of this work lies in its integration of surgery, immunotherapy, and control theory, extending beyond previous efforts in the literature.
Classification of magnetic order from electronic structure by using machine learning
Authors: Jang Yerin , Kim Choong H. , Go Ara
Published: August 2023

Identifying the magnetic state of materials is of great interest in a wide range of applications, but direct identification is not always straightforward due to limitations in neutron scattering experiments. In this work, we present a machine-learning approach using decision-tree algorithms to identify magnetism from the spin-integrated excitation spectrum, such as the density of states. The dataset was generated by Hartree–Fock mean-field calculations of candidate antiferromagnetic orders on a Wannier Hamiltonian, extracted from first-principle calculations targeting BaOsO$$_3$$

3

. Our machine learning model was trained using various types of spectral data, including local density of states, momentum-resolved density of states at high-symmetry points, and the lowest excitation energies from the Fermi level. Although the density of states shows good performance for machine learning, the broadening method had a significant impact on the model’s performance. We improved the model’s performance by designing the excitation energy as a feature for machine learning, resulting in excellent classification of antiferromagnetic order, even for test samples generated by different methods from the training samples used for machine learning.
Shift of human pathogen community composition and their potential human health risk after supply suspension in tap water
Authors: Liu Shengnan , Li Qisheng , Jiang Ruiming , Liu Peng , Zhang Xu-Xiang
Published: August 2023

Water supply suspension–restoration can occur frequently due to the overhauling of civil infrastructure in developing countries and the shutdown of commercial buildings during the pandemic. For comprehensive insights into the effects of water supply suspension–restoration, this study characterized the variations of the pathogen community composition of the tap water and their infection risk under different water supply scenarios. Metagenomic sequencing revealed a significant change of the human pathogen profiles, among which the most dominant pathogen changed from Pseudomonas aeruginosa (4.91%) to Acinetobacter johnsonii (0.59%). Furthermore, absolute quantification of pathogens by propidium-monoazide-qPCR revealed that the abundance of the three typical pathogens (Pseudomonas aeruginosa, Mycobacterium avium and Salmonella sp.) showed an increase of 2.44 log to 3.60 log immediately after water supply suspension–restoration and did not return to the normal level even after 2-h supply restoration, except for Pseudomonas aeruginosa. Quantitative microbial risk assessment suggested the infection risks of the three pathogens arising from direct utilization of tap water under stable water supply, including dermal exposure and oral intake, were all above the threshold of 10−4, and evidently increased after water supply suspension–restoration. This study warns us against the risk induced by the pathogens in tap water, especially after water supply suspension–restoration.
Intraspecific trait variability facilitates tree species persistence along riparian forest edges in Southern Amazonia
Authors: Maracahipes-Santos Leonardo , Silvério Divino Vicente , Maracahipes Leandro , Macedo Marcia Nunes , Lenza Eddie , Jankowski Kathi Jo , Wong Michelle Y. , Silva Antônio Carlos Silveiro da , Neill Christopher , Durigan Giselda , Brando Paulo Monteiro
Published: August 2023

Tropical forest fragmentation from agricultural expansion alters the microclimatic conditions of the remaining forests, with effects on vegetation structure and function. However, little is known about how the functional trait variability within and among tree species in fragmented landscapes influence and facilitate species’ persistence in these new environmental conditions. Here, we assessed potential changes in tree species’ functional traits in riparian forests within six riparian forests in cropland catchments (Cropland) and four riparian forests in forested catchments (Forest) in southern Amazonia. We sampled 12 common functional traits of 123 species across all sites: 64 common to both croplands and forests, 33 restricted to croplands, and 26 restricted to forests. We found that forest-restricted species had leaves that were thinner, larger, and with higher phosphorus (P) content, compared to cropland-restricted ones. Tree species common to both environments showed higher intraspecific variability in functional traits, with leaf thickness and leaf P concentration varying the most. Species turnover contributed more to differences between forest and cropland environments only for the stem-specific density trait. We conclude that the intraspecific variability of functional traits (leaf thickness, leaf P, and specific leaf area) facilitates species persistence in riparian forests occurring within catchments cleared for agricultural expansion in Amazonia.
Effect of moderate livestock grazing on soil and vegetation characteristics in zokor mounds of different ages
Authors: Zhang Qian , Lu Yan , Zhang Caijun , Yao Baohui , Su Junhu
Published: August 2023

Mounds formed by plateau zokors (Eospalax baileyi) in alpine meadows are easily disturbed by livestock. We aimed to reveal the effect of moderate livestock grazing (from October 15 to March 15 of the following year) on plant and soil characteristics of zokor mounds. This study explored the effect of zokor mounds of different ages (2015–2018) on soil nutrient content, soil enzymatic activity, plant diversity, and aboveground biomass (AGB) at grazing and non-grazing sites. Compared with the non-grazing sites, soil organic carbon (SOC), total soil phosphorus, and ratio of SOC to total nitrogen were 16.6%–98.7% higher and soil urease activity was 8.4% and 9.6% higher in 1- and 3-year-old mounds, respectively, at the grazing sites. Grazing significantly increased the plant Pielou index, richness, and Shannon–Wiener diversity index of 4-year-old mounds by 20.7%–52.4%. Partial least squares path modeling showed that plant species diversity was the main factor affecting the plant AGB of mounds at the grazing sites, whereas soil enzyme activity was the primary factor at the non-grazing sites. We propose that moderate grazing increases soil nutrient content and the plant diversity in zokor mounds in alpine meadows, which should be considered in future grassland restoration.
Systemic evaluation of the risk of reoperations in pediatric populations with exotropia and esotropia: nested case–control study
Authors: Lee Ju-Yeun , Kim Seong Jae , Kim Hyuna
Published: August 2023

The study aimed to assess the risk of reoperations for strabismus in the pediatric population and to identify high-risk groups. This was a nationwide population-based study that used data from the Korean National Health Claims Database from 2008 to 2020. Two major cohorts were established based on initial strabismus: age-, sex-, and recruitment year-matched controls were randomly selected. Patients aged ≤ 9 years who underwent initial strabismus surgery for exotropia and esotropia were included, resulting in a total of 24,816 patients included to this study. The cumulative incidence of reoperations was 843 per 10,000 persons for exotropia, 1559 per 10,000 persons for esotropia. To assess the significant exposure factors, conditional logistic regression was performed to obtain odds ratio (OR) in each cohort. In patients with exotropia, the OR of reoperations was 4.26 times higher when the initial surgery is performed at younger age (earlier than 3-year-old) and 6.49 times higher when only one eye underwent than two eye. Similarly, in patients with esotropia, younger age (6.57 times) and unilateral surgery (7.20 times) were identified as common factors that increase the risk of reoperations. Based on the findings, special attention is recommended for patients younger than 3 years, especially those performed unilateral surgery as initial intervention in practical settings.
Causal association between basal metabolic rate and risk of cardiovascular diseases: a univariable and multivariable Mendelian randomization study
Authors: Li Yihua , Zhai Huiqi , Kang Liang , Chu Qingmin , Zhao Xinjun , Li Rong
Published: August 2023

Basal metabolic rate (BMR) is associated with cardiovascular health; however, the causal relationship between BMR and the risk of cardiovascular diseases (CVDs) remains unclear. This study aimed to investigate the potential causal relationship of BMR on common CVDs including aortic aneurysm (AA), atrial fibrillation and flutter (AFF), calcific aortic valvular stenosis (CAVS), heart failure (HF), and myocardial infarction (MI) by Mendelian randomization (MR). The univariable MR analysis using inverse variance weighted (IVW) model as the primary analysis method revealed that genetically predicted higher BMR causally increased the risk of AA [IVW odds ratio (OR) = 1.34, 95% confidence interval CI  1.09–1.65, p = 0.00527], AFF (IVW OR = 1.87, 95% CI  1.65–2.12, p = 1.697 × E-22), and HF (IVW OR = 1.35, 95% CI  1.20–1.51, p = 2.364 × E-07), while causally decreasing the risk of MI (IVW OR = 0.83, 95% CI  0.73–0.93, p = 0.00255). In the multivariable MR analysis, which controlled for common cardiovascular risk factors, direct effects of BMR on an increased risk of AA and AFF, as well as a decreased risk of MI, but an attenuated causal effect on HF, were observed. In conclusion, the current MR study provides evidence for a causal relationship between BMR and the risk of AA, AFF, HF, and MI.
Settling velocities of coarse organic solids
Authors: Pietsch Aaron J. , Chapman John A.
Published: August 2023

The settling velocity of a particle is an integral parameter in stormwater modeling and design. The settling velocity can be used to predict the fate and transport of stormwater particles and if the particles contribute to nutrient loading in a watershed. Prediction of settling velocity for inorganic particles is generally well-researched and well-understood. Organic particles tend to vary widely in their physical properties and there are currently no set standards or empirical equations for estimating the settling velocity of organic particles. This paper presents data from tree leaves and seeds settling velocity experiments to better understand how organic particles settle in the context of settling velocity equations such as the one developed by Ferguson and Church. Analysis of the collected data showed that the second of the two drag coefficients (C2) used in the Ferguson and Church Equation was sensitive to particle type and shape. By averaging C2 by particle type and species, there was a correlation between the observed settling velocity and the settling velocity predicted by the Ferguson and Church Equation (R2 = 0.83). With these results, stormwater modelers and designers are equipped with a better understanding of how to represent common organic particles in terms of settling velocity. Additional research on a wider variety of organic particle types and species would expand on the dataset presented here.
Numerical calculation of forward and reverse flow in Tesla valves with different longitudinal width-to-narrow ratios
Authors: Zhang Yu-Liang , Tong Jiang-Bo , Zhu Zu-Chao
Published: August 2023

To study the effect of the width-to-narrow ratio on the forward and reverse flow characteristics of the Tesla valve, five different models of the Tesla valve with different width-to-narrow ratios are established in this paper. The numerical calculations of forward and reverse flow under different working conditions are carried out by the CFD method in the laminar flow regime, and the reliability of the numerical calculation method is verified by comparing it with the experimental results. The results show that: in forward flow, the main flow-through channel is not related to the width-to-narrow ratio, the flow rate of the straight channel increases with the increase of the width-to-narrow ratio, and the static pressure in the diversion section is in the shape of “∞”; while in reverse flow, the main flow-through channel is weakly related to the width-to-narrow ratio, the flow rate of the arc channel is not increased with the increase of the width-to-narrow ratio, and the static pressure in the diversion section is in the shape of “bench”. As the width-to-narrow ratio decreases, the pressure drop during forward and reverse flow becomes more significant.
Modelling the effect of defects and cracks in solar cells’ performance using the d1MxP discrete model
Authors: Marques Lameirinhas Ricardo A. , P. Correia V. Bernardo Catarina , N. Torres João Paulo , Veiga Helena Isabel , Mendonça dos Santos Pedro
Published: August 2023

Renewable energies are increasingly playing an important role in the world’s energy supply. Society demands new solutions to solve environmental issues caused by fossil fuels. The importance of photovoltaic technology has been increasing and consequently, the necessity to have more accurate models to characterise the performance of solar cells during their entire lifetime has rose as well. Performance problems may appear during devices’ lifetimes associated with factors, such as weather conditions or faulty installation. Cracking might occur, leading to abrupt reductions on the produced power, quite difficult and expensive to fix. The I–V curves of a defected or cracked solar cell might not have the shape imposed by the usual models as 1M5P. In this article, cracked c-Si solar cells are modelled using a novel model: d1MxP. This model is based on the discretisation of the diode’s response on models as 1M5P. Instead of imposing a shape and compute some parameters to fit it on experimental data, the proposed model connects every two points. The results suggest a better fit using the proposed model in comparison with the 1M5P, not only in the original curves, but also modelling cracked cells. As consequence of a better fitting, the computation of important figures of merit as maximum power point or fill factor, reveals to be more precise. It is concluded that the proposed model might characterise the performance of a solar cell, even cracked, which is a huge advance aiming the possibility of simulating complex problems during the cells’ operation lifetime.
Formic and acetic acid pKa values increase under nanoconfinement
Authors: Sit Izaac , Fashina Bidemi T. , Baldo Anthony P. , Leung Kevin , Grassian Vicki H. , Ilgen Anastasia G.
Published: August 2023

The dissociation constants of organic acids decrease (pKa values increase) when they are confined within silica nanopores filled with aqueous solutions. Nanoconfinement stabilizes the protonated species.
Discovery of cisplatin-binding proteins by competitive cysteinome profiling
Authors: Wang Xianghe , Zhang Yihai , Wang Chu
Published: August 2023

A competitive activity-based protein profiling strategy was developed to identify cisplatin-binding cysteines in MCF-7 proteomes, among which cisplatin-binding sites in GLRX1, TXNDC17 and MetAP1 were biochemically verified.
Site-Net: using global self-attention and real-space supercells to capture long-range interactions in crystal structures
Authors: Moran Michael , Gaultois Michael W. , Gusev Vladimir V. , Rosseinsky Matthew J.
Published: August 2023

Site-Net is a transformer architecture that models the periodic crystal structures of inorganic materials as a labelled point set of atoms and relies entirely on global self-attention and geometric information to guide learning.
Design of antimicrobial peptides containing non-proteinogenic amino acids using multi-objective Bayesian optimisation
Authors: Murakami Yuki , Ishida Shoichi , Demizu Yosuke , Terayama Kei
Published: August 2023

MODAN is a multi-objective Bayesian framework for automated design of antimicrobial peptides containing various non-proteinogenic amino acids and side-chain stapling.
Aerosol-assisted chemical vapour deposition of highly efficient mixed anatase-rutile TiO2 for photoelectrochemical water splitting
Authors: Harris-Lee Thom R. , Della Gaspera Enrico , Marken Frank , Zhang Jie , Bentley Cameron L. , Johnson Andrew L.
Published: August 2023

New and bespoke precursors have been used to fabricate mixed anatase-rutile TiO2 with exceptional photoelectrochemical performance towards water splitting.
All-solid-state lithium–sulfur batteries enabled by single-ion conducting binary nanoparticle electrolytes
Authors: Kim Boram , Park Moon Jeong
Published: August 2023

Advanced Li–S batteries made by solid-state single-ion conducting hybrid electrolytes Co-assembling binary core–shell polymer nanoparticles achieved ionic conductivity of 10−4 S cm−1, electrochemical stability of >6 V, and elastic moduli of 0.12 GPa at 25 °C.
Novel two-dimensional Janus β-Ge2XY (X/Y = S, Se, Te) structures: first-principles examinations
Authors: Hien Nguyen Dinh , Lu D. V. , Nhan Le C.
Published: August 2023

Two-dimensional (2D) structures can stably exist in different allotropes.
Recent advances in the applications of graphene materials for the oil and gas industry
Authors: Xuan Yang , Zhao Luo , Li Daqi , Pang Shaocong , An Yuxiu
Published: August 2023

Graphene is a material formed with carbon atoms connected by sp2 hybridization.
The volatile release evaluation of nicotine from snus products under different storage conditions based on surface-enhanced Raman spectroscopy technology
Authors: Tian Yongfeng , Zhao Lu , Pan Yonghua , Li Zhengfeng , Shen Xiaofeng , Zhang Xia , Tang Xianghu , Feng Xin , Huang Xingjiu
Published: August 2023

The volatile release evaluations of nicotine of snus products under different storage conditions were performed based on Fe3O4 microparticles coated with Au nanorods and Au nanoparticles (Fe3O4@AuNRsNPs) as SERS substrates combined with capillary.
The future of aviation soars with HTL-based SAFs: exploring potential and overcoming challenges using organic wet feedstocks
Authors: Usman Muhammad , Cheng Shuo , Boonyubol Sasipa , Cross Jeffrey S.
Published: August 2023

The start of art SAFs production routes and HTL potential for overcoming challenges.
Dual-functional boron-modification on a cobalt-free single-crystal layered cathode for high-voltage lithium-ion batteries
Authors: Liu Tiancheng , Fan Ke , Lin Zezhou , Liang Zhuojian , Chen Changsheng , Li Guangchao , Guo Xuyun , Zhu Yanping , Chen Gao , Li Hao , Wu Tai-Sing , Soo Yun-Liang , Li Molly Meng-Jung , Zhu Ye , Dong Mingxia , Huang Haitao
Published: August 2023

Boron-modified cobalt-free single-crystal cathode enables to ultra-low c-axis lattice contraction and anchors lattice oxygen for high safety Li-ion batteries.
Introduction to artificial intelligence and machine learning in environmental science
Authors: Luan Hemi , Cai Zongwei
Published: August 2023

Hemi Luan and Zongwei Cai introduce the Environmental Science: Advances themed issue on artificial intelligence and machine learning in environmental science.
General relativistic hydrodynamic simulations of perturbed transonic accretion
Authors: Olivares Héctor R. , Mościbrodzka Monika A. , Porth Oliver
Published: August 2023

Contact. Comparing horizon-scale observations of Sgr A* and M 87* with numerical simulations has provided considerable insight into their interpretation. Most of these simulations are variations of the same physical scenario consisting of a rotation-supported torus seeded with poloidal magnetic fields. However, this approach has several well-known limitations such as secular decreasing trends in mass-accretion rates that render long-term variability studies difficult; a lack of connection with the large-scale accretion flow, which is replaced by an artificial medium emulating vacuum; and significant differences with respect to the predictions of models of accretion onto Sgr A* fed by stellar winds.

Aims. We aim to study the flow patterns that arise on horizon scales in more general accretion scenarios that have a clearer connection with the large-scale flow, and are at the same time controlled by a reduced set of parameters.

Methods. As a first step in this direction, we performed three-dimensional general relativistic hydrodynamic simulations of rotating transonic flows with velocity perturbations injected from a spherical boundary located far away from the central object (1000 gravitational radii). We studied the general properties of these flows with varying perturbation amplitudes and angular momentum. We analyzed time series of mass and angular-momentum radial fluxes, angle- and time-averaged profiles, and synthetic bremsstrahlung light curves, as well as the three-dimensional structure of the flow, and quantified shock and sonic transitions in the solutions.

Results. We observe a rich phenomenology in accretion patterns, which includes smooth Bondi-like flows, turbulent torus-like structures, shocks, filaments, and complex sonic structures. For sufficiently large perturbations and angular momentum, radial profiles deviate from the constant entropy and constant angular-momentum profiles used for initialization and resemble those of advection-dominated accretion flows, showing evidence of entropy generation and angular-momentum redistribution not mediated by magnetic fields. Time series do not show the secular decreasing trend and are suitable for long-term variability studies. We see that the fluctuations are amplified and extend further in frequency than the injected spectrum, producing a red noise spectrum both for the mass-accretion rate and the synthetic light curves.

Conclusions. We present a simulation setup that can produce a wide variety of flow patterns at horizon scales and incorporate information from large scale accretion models. The future inclusion of magnetic fields and radiative cooling could make this type of simulation a viable alternative for the numerical modeling of general low-luminosity active galactic nuclei (AGNs).
Will That Color Bring Me Good Luck? The Effect of Package Color Saturation of Probabilistic Goods on Consumers’ Purchase Intention
Authors: Li Shan , Li Peihong , Zhao Yichen , Atipanya Saranchana
Published: August 2023

Probabilistic goods are unique products or services that consumers obtain from sellers at a discounted price for any one of different goods. They are also common in everyday life, such as blind boxes and lucky bags. However, there are still many consumers unwilling to pay for them, and the current research on probabilistic goods fails to reveal the mechanism behind it, and cannot solve the marketing problem well. In this regard, based on construal-level theory, three empirical studies were conducted to investigate the effect of package color saturation of probabilistic goods on consumers’ purchase intention. The study found that compared with low saturation, high saturation packaging can significantly increase consumers’ purchase intention, which is mediated by subjective probability and moderated by transaction utility. Specifically, in the context of low transaction utility, the higher the saturation, the stronger the consumers’ purchase intention; in the context of high transaction utility, the effect of saturation is not significant. The conclusion of this paper expands the research on the visual effect of probabilistic goods packaging, and provides theoretical basis and practical guidance for marketers to consider probabilistic goods packaging design.
Impact of Community Trust on Residents Perceptions of Green Governance Performance: Evidence from Chengdu
Authors: Miao Sailiu , Ku Yaoyao , He Peipei
Published: August 2023

Green is the underlying requirement for China’s high-quality development. The extent to which residents perceive the performance of green governance is related to the formation of a green governance community and the achievement of green value objectives. Based on 295 valid questionnaires and qualitative interview data in Chengdu, this paper employs a mixed-methods research to investigate the role of community trust on the resident perceptions of green governance performance from the perspective of individual differences. The findings demonstrate that community trust promotes social interaction and information flow and significantly positively affects the resident’s perception of green governance performance. Public perceptions of green governance performance can be effectively enhanced by actively cultivating general trust and special trust.
The Impact of OFDI on Green Technology Innovation in China
Authors: Qin Yutong , Du Jiang , Jia Lijun , Pu Shilu
Published: August 2023

Green technology innovation is one of the important driving forces to promote green development of China’s economy. Based on the panel data of 29 provinces, municipalities and autonomous regions in China and the mechanism of Outward Foreign Direct Investment (OFDI) on green technology innovation, this paper introduced different spatial weights and established a Spatial Durbin Model (SDM) to study the impact of OFDI on China’s green technology innovation according to the hypothesis proposed in this paper. It is found that OFDI can significantly promote China’s green technology innovation, which is under the influence of different spatial weights, and presents a significant spatial spillover effect. However, there are obvious regional differences in the spatial impact of OFID on green technology innovation, and the spatial spillover effect in some regions is not significant enough. Then the change of international investment environment will affect the spatial spillover effect of OFDI on China’s green technology innovation. Moreover, OFDI has significant nonlinear characteristics in its impact on green technology innovation. After crossing the threshold, OFDI has significantly increased its impact on green technology innovation, which further confirms that OFDI can effectively promote China’s green technology innovation and it can promote China’s green economic development.
Leveraging Sustainable Value Creation Through the Principles of Sustainable Engineering
Authors: Cabrita Maria do Rosário , Cruz-Machado Virgílio
Published: August 2023

Industrial and technological revolutions have always changed the way companies create value. More recently, sustainability has become a source of inspiration and innovation and most organizations start redesigning their business models based on sustainability concepts. Sustainable practices have become critical issues for industrial engineering, dealing with technological and management principles. Engineering is a major driver of sustainable development by connecting social needs and environmental priorities with appropriate technologies and management practices. According to UNESCO sustainable engineering is about designing and operating daily systems so that the energy and resources they use are sustainable that is, they are used at a rate that safeguards the availability of natural resources for future needs. The literature on the subject is mostly dedicated to technical and design aspects of engineering principles integrating sustainability concepts. Works on how sustainable engineering principles impact sustainable value creation are scarce. Exploring the concepts and the main principles of sustainable value and sustainable engineering, this paper shed light on supporting organizations operationalizing the transition toward business models which are environmentally, socially, and financially sustainable. This work aims to provide a conceptual framework setting out how sustainable engineering principles can provide a thinking guide to connect corporate sustainable value creation drivers and the Sustainable Development Goals (SDGs).
The Impact of Green Technology Innovation on Capital Cost of Heavy Polluting Enterprises: The Mediating Effect of Carbon Performance
Authors: Zhang Liming , Li Jingyi , Luo Kuankuan , Trieu Thi My An
Published: August 2023

Under the background of the carbon peaking and carbon neutrality goals proposed in 2020, making heavy polluting enterprises realize that low-carbon measures can bring enough economic benefits is conducive to enhancing their enthusiasm to adopt green behaviors. Using data from 320 listed companies in heavily polluting industries from 2006 to 2019 as samples, our study used multiple linear regression to explore the relationship between green technology innovation, carbon performance, board characteristics and cost of capital. Based on these data, we draw the following conclusions: green technology innovation and carbon performance are significantly negatively correlated with capital cost, carbon performance plays a mediating role in the relationship between green technology innovation and capital cost, and board characteristics play a moderating role in the relationship between green technology innovation and carbon performance. These conclusions bring some implications for enterprises to develop and implement low-carbon measures and reduce capital cost.
Implementation and Effect Evaluation of Situational Leadership II Training in the Sales Department of ZDTQ Pharmaceutical Group
Authors: Li Ying , Du Liu , Cheng Lang , Delaney John T.
Published: August 2023

As a leading enterprise in the industry, ZDTQ Pharmaceutical Group should maintain its continuous competitiveness. Therefore, the University of group enterprises has carried out a series of training contents around this position, aiming to improve this level’s core position ability. This paper evaluates and analyzes the effectiveness of the “Situational Leadership II” course training for front-line managers in the marketing department of ZDTQ Pharmaceutical Group to provide a reference and basis for subsequent training. Based on the situation of the 96 managers who participated in the training in 2020, combined with the theory of Situational Leadership, this paper uses the research methods of questionnaire survey and In-depth interview to analyze the data before and after the training, analyze the effect of the training, and put forward suggestions for the follow-up development of the training. The results show that the “Situational Leadership II” course training can effectively improve the leadership and management ability of the front-line marketing managers in the marketing department, promote the development of direct subordinate ability, and improve the team’s work efficiency.
Analysis of A Fresh Food E-commerce Enterprise’s Terminal Distribution Network Site Selection
Authors: Xiang Qiyang , Tan Lei , Yang Lifang , Hashim Muhammad
Published: August 2023

In view of the current prosperity of China’s fresh market transactions, fresh e-commerce enterprises in the end of the construction of the logistics network of the pain point problem, this study of fresh e-commerce in the “last mile” distribution of site planning issues. This paper focuses on a fresh food ecommerce enterprise’s end distribution network and explores the key influencing factors in fresh food product distribution from three dimensions: timeliness, economy and service quality. And then establishes a mathematical model for selecting community stores for end distribution of fresh food e-commerce enterprises with the objectives of minimizing input costs and maximizing customer satisfaction. The model takes into account the costs of building and operating community stores and the transportation costs of distribution. In the model introduces three types of penalty costs due to site selection variability and transforms the model from a dual-objective to a single-objective model. The study takes the example of store location selection in 35 neighborhoods in region B by enterprise A and designs an immune optimization algorithm to solve the model. Based on the results of the algorithm, we verify the rationality and validity of the model, and obtain the optimal solution that ensures customer satisfaction and minimizes all costs.
The Multi-Player Evolutionary Game Analysis for the Development of Vocational Education
Authors: Wu Min , Li Dan , Teng Weli
Published: August 2023

The local government of China serves as a supervisor of vocational education. The vocational education governance is actually a dynamic game process involving local governments, vocational schools and enterprises. This study attempts to construct a multi-player evolutionary game and show the results that the external benefits of developing vocational education positively influence the probability of local governments choosing cooperative strategies. The choice of local government has a key impact on the strategic choice of vocational schools and enterprises. The vocational education policy would not only affect the calculation of benefit-cost, but also the strategic choice of local governments, vocational schools and enterprises. The research results can help local governments to formulate policies for vocational education development.
Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan
Authors: Kamran Asif , Haidery Asmara , Hussain Sikander , Rizvi S.M. Ahsan , Muhammad Danish
Published: August 2023

Cloud computing is providing cheaper, cost effective efficient automation, data management services to the organizations and this trend is gradually increasing. Using cloud based services can eliminate cost and complexity of managing the underlying application. It allows users to access and use the most sophisticated technologies without being required to pay enormous amounts of money to purchase the system or to develop it in-house. This study aimed to investigate cloud computing advantages and disadvantages, its services and implementation stages in pharmaceutical industry of Pakistan. Cloud computing practices included Cost Saving, Security & Privacy, Automation, Data Integrity, and Regulatory compliance. An Adopted survey was planned and circulated over an example of 400 workers. Research hypotheses were evaluated using structured equation modelling. The outcome shows that cost savings, security and privacy, competitive pressure, automation and awareness have a positive and fundamental effect on pharmaceutical operations. Strangely, there is a negative effect of external support on cloud computing. The effects are noticeable in the pharmaceutical industry.
Comparative Analysis of Erp Being Used in Hotel Industry of Pakistan
Authors: Kamran Asif , ul Arafeen Qammar , Jatoi Aqeel Ahmed
Published: August 2023

IT systems in the hotel industry mainly focused on addressing routine operational issues during hotel operations. Pakistan’s hotel industry has historically been criticized for being reluctant to make full use of IT. This paper reports and analyzes the results of a recent survey of IT applications in Pakistan hotels. This research is intended to highlight factors that can be considered critical for the successful application, particularly to deter a wider use of ERP (Enterprise resource planning) systems in the hospitality sector in Pakistan. The work also helps us understand how ERP systems can provide value for companies in this field, in particular in the hotel industry. The reference model provides the basis for explaining how the current supplier’s product responds to the needs of the market. This research provides an initial systematic review of ERP, Information System, PMS, POS, Back-Office Software, HRIS, Inventory Software, Business Performance, Automation, System Integration, E-commerce in hospitality industry. In this research ERP systems are critically analyzed which are being used in hotel industry of Pakistan. Finally there is review of findings of effect if ERP and MIS implement on hospitality industry in Pakistan that due to less awareness, fear, cost, they don’t want to implement or not need to change. After completing the research it will be clear that how hotel Industry bring change by applying this software or upgrade them self.
Influence of Guanxi on Job Satisfaction in China: Xinren as a Mediator
Authors: Li Liping , Ma Jun , Yang Jun , Kerse Ngaire , Li Dongmei
Published: August 2023

Research has shown that Chinese guanxi (private relationships/networks based on Chinese culture, which allow to obtain social resources informally and privately) are related to job searching and work-related outcomes such as job match and job satisfaction. However, few studies have examined the correlation between the sub-dimensions of guanxi and job satisfaction. With a sample of 267 respondents from different Chinese companies, this study divided guanxi research into two stages (the renqing & ganqing guanxi used for job-searching processes and the supervisor-subordinate guanxi used for on-thejob processes) and examined the mediating effect of xinren on guanxi and job satisfaction by using structural equation modeling and bootstrapping analysis. The results showed that guanxi was positively related to job satisfaction, and xinren partly mediated these correlations. Our findings extend previous research on the effects of guanxi on job outcomes and may be used as an exploratory guide to manage employee satisfaction.
Information Entropy-based Edge Importance Identification of Road Network: A Case of Highway in Sichuan Province
Authors: Zeng Ziqiang , Sun Yupeng , Berezin Anton
Published: August 2023

Due to the severe damage and huge loss caused by natural disasters to road networks, the protection of the road network is essential. Edge importance identification can help preserve the road network by protecting key edges. This paper proposes a new network performance measure method and introduces a new edge load redistribution method in cascading failure model. To identify different edge importance in the network, this paper proposes three edge importance evaluation metrics, including information entropy of degree values, information entropy of iterative factors and two-dimensional evaluation metric based on the Pareto non-dominated set which combines two single metrics. A case study of highway road in Sichuan province with 204 nodes and 322 edges which was affected by Luding Earthquake is conducted to demonstrate the best one of the three metrics, including data from the Department of Transport of Sichuan Province. The final results of the chi-square test and Kendall’s correlation coefficient comparing the importance ranking of the three metrics with the ranking derived from the network performance assessment model indicate that the two-dimensional evaluation metrics have the best performance and that the road network tends to collapse at the same time when attacked against the road network under different edge rankings, suggesting that the effect of cascading failures should be limited early.
Research on the Influencing Factors and Regulation Mechanism of Entrepreneurial Team Governance
Authors: Jiang Danrong , Liu Yajing , Kang Xinke , Liu Lili
Published: August 2023

Current research on entrepreneurial teams has increasingly focused on governance issues, particularly the outcome variables of entrepreneurial team governance. However, there is less examination of the antecedent variables and mediating mechanisms that influence entrepreneurial team governance. This study uses a questionnaire survey to empirically test the factors influencing entrepreneurial team governance and the moderating effect of ethical leadership. Survey data from 187 entrepreneurial teams were analyzed. Results show that founder-member relationships positively affect contractual and relational governance, and human capital specificity positively affects contractual governance and partially affects relational governance. Equity balance negatively affects relational governance and partially affects contractual governance, while equity concentration has no significant effect on governance. Ethical leadership weakens the positive impact of founder-member relationships on contractual governance, but has no significant effect on other relationships. These findings provide theoretical and empirical evidence for understanding the antecedent variables that influence entrepreneurial team governance and the moderating effect of leadership style.