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Found 6278 publications
MXene/TiO2 Photocatalyst: The Key Role of MXene Electron Trapping in Water and Air Treatment
Publication Name: International Journal of Molecular Sciences
Publication Date: 2026-04-29
Volume: 27
Issue: 9
Page Range: Unknown
Description:
The photocatalytic activity of TiO2 can be increased by incorporating it into a composite with an electron-trapping co-catalyst. MXene can perform this task as an electron-conducting material. In addition to trapping electrons, it also affects the defects in TiO2 near the interface. To screen for the best photocatalytic performance, three types of composites were prepared: by physical mixing, chemical deposition, and ALD. During characterization, the structural, optical, and photoelectrochemical properties were determined. Photocatalytic activity was examined in suspension (phenol conversion) and on a layer (gas phase ethanol conversion). It was found that the composite containing the lowest proportion of cocatalyst (1 wt.%) had the highest photocatalytic activity. According to the results of photocatalytic activity measured in suspension, the physical mixtures were proven to be more effective than neat TiO2, with the composites converting approximately the total amount of phenol in ~40 min, while TiO2 required ~80-90 min to do so under the same conditions. Thus, the electron-trapping role of MXene is clearly demonstrated in suspension applications, which is also confirmed by other characterization methods (photoluminescence, photocurrent density). TiO2 performed best during ethanol conversion, as it has the highest ethanol adsorption capacity (33.41%). During ethanol conversion tests, the MXene electron-trapping property was most effectively demonstrated in composites formed using the ALD method.
Open Access: Yes
DOI: 10.3390/ijms27093975
Measuring promotional video performance through eye-tracking and cognitive evaluation: A Fermatean fuzzy decision analytics approach
Publication Name: Engineering Applications of Artificial Intelligence
Publication Date: 2026-04-15
Volume: 170
Issue: Unknown
Page Range: Unknown
Description:
Neuromarketing techniques are increasingly employed to measure emotional responses through brainwaves, eye movements, and facial expressions. The primary motivation of this study is to develop a decision support system capable of evaluating promotional video performance levels based on both eye-tracking data and cognitive assessments. The core objective is to propose a hybrid method that simultaneously integrates neuromarketing insights and cognitive evaluations. To this end, a Fermatean fuzzy (FF)−Hamacher−simple weight calculation (SIWEC)−method based on the removal effects of criteria (MEREC)−alternative ranking using two-step logarithmic normalization (ARLON) decision analytics model is developed and implemented. The FF−SIWEC method is employed to determine subjective criterion weights based on expert judgments, while the FF−MEREC method is used to compute objective weights by analyzing both eye-tracking and qualitative evaluations from viewers. Additionally, the Fermatean fuzzy Hamacher weighted aggregation operator ensures precise aggregation of audience evaluations. The FF−ARLON method is applied to obtain final rankings of promotional videos. A real-world case study is conducted to test the applicability of the proposed method, involving six automobile brands and 10 audiences. Eye-tracking analyses are conducted while audiences view the promotional videos, followed by expert and audience evaluations of seven qualitative and six eye-tracking criteria. Among qualitative criteria, “level of emotional impact” is found to be the most significant, while “saccadic direction” emerges as the most important eye-tracking criterion. The promotional video for the Mercedes brand demonstrates the highest overall performance. This study contributes to the literature by proposing a reliable and consistent hybrid model for evaluating promotional video performance.
Open Access: Yes
Influencing Factors of International Trade in Food Resources: Land, Economic, and Social Features
Publication Name: Land Degradation and Development
Publication Date: 2026-04-15
Volume: 37
Issue: 6
Page Range: 2149-2165
Description:
International food resource trade serves as a critical mechanism for ensuring global food security and promoting worldwide economic development, which involves multidimensional interactions spanning land, economic, and social factors. Utilizing panel data from 40 countries (2003–2023), this study establishes an evaluation index system for international food resource trade based on agricultural endowments, economic development, and geographic characteristics. QAP analysis was employed to systematically investigate the primary influencing factors of international food resource trade. Results indicate that per capita arable land area, national GDP, trade structure, and legal safeguards exert sustained and significantly positive effects on international food resource trade. Geographical distance between countries and population size demonstrates statistically insignificant impacts. Policy regimes—particularly disparities and uncertainties in tariff rates—impede international food resource trade. In conclusion, countries should strengthen cooperation to refine trade policies and legal frameworks through strategic alignment of food resource trade. Proactively establishing international food trade platforms will enhance the efficient allocation of global food resources and facilitate collective responses to global food security challenges.
Open Access: Yes
DOI: 10.1002/ldr.70235
Effects of green human resource management practices on employee green behavior: the role of employee’s environmental knowledge management and green self-efficacy for greening workplace
Publication Name: International Journal of Organizational Analysis
Publication Date: 2026-04-07
Volume: 34
Issue: 4
Page Range: 1174-1208
Description:
Purpose – This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE). Design/methodology/approach – For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling. Findings – The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university. Originality/value – This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.
Open Access: Yes
Managing B2C digital marketing communication
Publication Name: International Journal of Organizational Analysis
Publication Date: 2026-04-07
Volume: 34
Issue: 4
Page Range: 1453-1467
Description:
Purpose – The aim of this paper is to improve the understanding of management of B2C digital marketing communication tools as a multifaceted phenomenon based on influences on customer behaviour in the modern marketplace. This study aims to develop a theoretical framework that integrates a selection of digital marketing tools and explains how they affect various aspects of consumer behaviour. Design/methodology/approach – This study focuses on the analysis of scientific literature and an empirical quantitative survey of Lithuanian consumers. It is aimed at finding out which digital marketing communication tools have the greatest and least impact on consumers’ decisions at different stages of consumer behaviour. The survey results are based on 393 questionnaires. Findings – Based on the analysis of scientific literature and our survey, the authors found out that a comprehensive framework should encompass four different stages of consumer behaviour and six of the most popular digital marketing communication tools. A model was developed based on theory and practice, which depicts the relevance of the particular B2C digital marketing communication tools at a given stage of consumer behaviour, where there is a greater impact on consumer behaviour. The findings of this study have implications that can serve as a theoretical basis for further research in this field. Research limitations/implications – The limitation of this quantitative study is that it used a relatively small sample and cannot, therefore, be generalised beyond the Lithuanian context. Practical implications – The study’s results could have practical implications for organizations that wish to foster management of communication with consumers. The practical implications can help marketing managers develop effective strategies for managing B2C digital marketing communication tools. By understanding the four different stages of consumer behaviour and the effect of different digital marketing communication tools, managers can make informed decisions about their implementation that improve customer engagement and satisfaction. Therefore, these findings present an opportunity for a comprehensive understanding of how B2C digital marketing communication tools influence consumer behaviour, empowering managers to optimize their B2C digital marketing communication strategies. Originality/value – The lack of agreement in trying to categorize different types of B2C marketing communication tools does not allow us to see a wider perspective for managerial strategies to influence consumer behaviour. Most research has focused on the impact of single-channel marketing on consumer behaviour, but many modern digital marketing strategies use omnichannel approaches. This paper fills this gap by developing the relevant theoretical framework of managing B2C digital marketing communication.
Open Access: Yes
Global burden of cancer in children and adolescents aged 0–19 years, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
Jasvinder Singh Bhatti
Sayeh Ezzikouri
Ali Hasanpour- Dehkordi
Takeshi Fukumoto
Seyyed Shamsadin Athari
Hala Rashad Elhabashy
Aleksandr Y. Aravkin
Paul Narh Doku
Dariush Haghmorad
Theophilus I. Emeto
Adeniyi Francis Fagbamigbe
Nermin Ghith
Anis Ahmad Chaudhary
Mahwish Arooj
Hamidreza Hasani
Robert Kaba Alhassan
Salahdein Aburuz
Lucas Guimarães Abreu
Saeid Anvari
Muhammad Sohail Afzal
Jonathan M. Kocarnik
Mosab Arafat
Morenike Oluwatoyin Folayan
Hanadi Al Hamad
Ayesha Fahim
Mohammad Farahmand
Lisa M. Force
Adewale Oluwaseun Fadaka
Nadia M. Hamdy
Demelash Areda
Veer Bala Gupta
Maha Moh'd Wahbi Atout
Natalie Pritchett
Souad Bouaoud
Ayman Ahmed
Aso Mohammad Darwesh
Cem Bilgin
Dong Woo Choi
Wafa A. Aldhaleei
Awais Altaf
Ferrán Catalá-López
Danish Ahmad
Bashir Dabo
Rakhi Dandona
Mohammed Albashtawy
Mohamed Abouzid
Omotayo Francis Fagbule
Shirin Barati
Soham Bandyopadhyay
Ahmed Y. Azzam
Abdulfatai Aremu
Teferi Gebru Gebremeskel
Arvin Haj-Mirzaian
Catherine Bisignano
Aragaw Tesfaw Desale
Benedetta Armocida
Hasan Aalruz
Kayleigh Bhangdia
Isaac Sunday Chukwu
Md Kamrul Hasan
Promit Ananyo Chakraborty
Louise Penberthy
Maryam Bemanalizadeh
Robert Kokou Dowou
Giulia Carreras
Xiaochen Dai
Maysaa El Sayed Zaki
Johannes Haubold
Mohammad Asghari-Jafarabadi
Fatemeh Afrashteh
John Dube
Ali Hasanpour- Dehkordi
Shahkaar Aziz
Logan M. Glasstetter
Genanew K. Getahun
Sri Harsha Boppana
Alistair Acheson
Chiranjib Chakraborty
Saroja Devi Geetha
Razieh Bahreini
Yohannes Habtegiorgis Abate
Sabah Al-Marwani
Mohammad Mahdi Bastan
Samuel Demissie Darcho
Thao Huynh Phuong Do
Miglas Welay Gebregergis
Lee Deitesfeld
Abdel Rahman E'mar
Mohammed Elshaer
Lemessa Assefa A. Ayana
Chadi Eltaha
Awoke Derbie Habteyohannes
Abid Ali
Safwat Aly
Nguyen Hoang Anh
Andrew Crist
Miranda L. May
Maha Moh d.Wahbi Atout
Hasan Aalruz
Syed Anees Ahmed
Demelash Areda
Lalit Dandona
Karem H. Alzoubi
Yasser Bustanji
Publication Name: Lancet
Publication Date: 2026-04-04
Volume: 407
Issue: 10536
Page Range: 1360-1373
Description:
Background Information on childhood cancer burden is crucial for effective cancer policy planning. Unfortunately, observed paediatric cancer data are not available in every country, and previous global burden estimates have not discretely reported several common cancers of childhood. We aimed to inform efforts to address childhood cancer burden globally by analysing results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023, which now include nine additional cancer causes compared with previous GBD analyses. Methods GBD 2023 data sources for cancer estimation included population-based cancer registries, vital registration systems, and verbal autopsies. For childhood cancers (defined as those occurring at ages 0–19 years), mortality was estimated using cancer-specific ensemble models and incidence was estimated using mortality estimates and modelled mortality-to-incidence ratios (MIRs). Years of life lost (YLLs) were estimated by multiplying age-specific cancer deaths by the standard life expectancy at the age of death. Prevalence was estimated using survival estimates modelled from MIRs and multiplied by sequelae-specific disability weights to estimate years lived with disability (YLDs). Disability-adjusted life-years (DALYs) were estimated as the sum of YLLs and YLDs. Estimates are presented globally and by geographical and resource groupings, and all estimates are presented with 95% uncertainty intervals (UIs). Findings Globally, in 2023, there were an estimated 377 000 incident childhood cancer cases (95% UI 288 000–489 000), 144 000 deaths (131 000–162 000), and 11·7 million (10·7–13·2) DALYs due to childhood cancer. Deaths due to childhood cancer decreased by 27·0% (15·5–36·1) globally, from 197 000 (173 000–218 000) in 1990, but increased in the WHO African region by 55·6% (25·5–92·4), from 31 500 (24 900–38 500) to 49 000 (42 600–58 200) between 1990 and 2023. In 2023, age-standardised YLLs due to childhood cancer were inversely correlated with country-level Socio-demographic Index. Childhood cancer was the eighth-leading cause of childhood deaths and the ninth-leading cause of DALYs among all cancers in 2023. The percentage of DALYs due to uncategorised childhood cancers was reduced from 26·5% (26·5–26·5) in GBD 2017 to 10·5% (8·1–13·1) with the addition of the nine new cancer causes. Target cancers for the WHO Global Initiative for Childhood Cancer (GICC) comprised 47·3% (42·2–52·0) of global childhood cancer deaths in 2023. Interpretation Global childhood cancer burden remains a substantial contributor to global childhood disease and cancer burden and is disproportionately weighted towards resource-limited settings. The estimation of additional cancer types relevant in childhood provides a step towards alignment with WHO GICC targets. Efforts to decrease global childhood cancer burden should focus on addressing the inequities in burden worldwide and support comprehensive improvements along the childhood cancer diagnosis and care continuum. Funding St Jude Children's Research Hospital, Gates Foundation, and St Baldrick's Foundation.
Open Access: Yes
Optimization of pavement texture depth measurement using machine learning algorithms
Publication Name: Discover Applied Sciences
Publication Date: 2026-04-01
Volume: 8
Issue: 4
Page Range: Unknown
Description:
Optimization of 3D laser scanning method using paired t-tests and ANOVA tests. Prediction of pavement mean texture depth using machine learning algorithms. Separation of macrotexture and microtexture using Power Spectral Density method.
Open Access: Yes
Numerical Study of Maxwell and Navier–Stokes Equations for Fluid Flow Over a Curvilinear Surface Subject to Buoyancy Forces
Publication Name: ZAMM Zeitschrift Fur Angewandte Mathematik Und Mechanik
Publication Date: 2026-04-01
Volume: 106
Issue: 4
Page Range: Unknown
Description:
Buoyancy-driven viscous fluid flow across a curved surface is investigated numerically in this work using the coupled Maxwell and Navier–Stokes equations, with variable fluid characteristics represented as nonlinear functions of temperature. Realistic magneto-hydrodynamic effects are captured by including the Lorentz force and the influence of a fluctuating magnetic field in curvilinear coordinates. The governing partial differential equations are solved using the parametric continuation method (PCM) after being converted into a system of ordinary differential equations by similarity transformations. Results demonstrate excellent agreement when compared to previously published data using MATLAB's PCM solver to confirm correctness. According to the parametric study, buoyancy ((Formula presented.)) improves fluid motion by around 15%, whereas greater curvature factors (Formula presented.), Stuart numbers (Formula presented.), and Prandtl numbers (Formula presented.) result in a 12%–16% drop in radial and arc-length velocities. The temperature profile falls by more than 23% as (Formula presented.) and (Formula presented.) increase, indicating the significance of thermal diffusivity in preventing heat buildup. It increases by 25% with higher magnetic interaction ((Formula presented.), (Formula presented.)). The induced magnetic field is strengthened by 6%–7% with a little increase in the magnetic interaction parameter (Formula presented.), whereas the magnetic field intensity is reduced by about 25% with a larger (Formula presented.). Skin friction falls by almost 10% with greater (Formula presented.) at moderate (Formula presented.), but increases by 4% under larger Lorentz forces ((Formula presented.), (Formula presented.)). Overall, the results show that velocity, temperature, magnetic field distribution and surface forces are strongly influenced by buoyancy, curvature and electromagnetic parameters. The findings shed light on efficient energy optimisation, thermal control, and electromagnetic regulation of MHD flows over curved geometries.
Open Access: Yes
DOI: 10.1002/zamm.70423
Analyzing the ORFV virus proteome through rational development of a multiepitope subunit vaccine using the molecular docking and reverse vaccinology approach
Publication Name: Journal of Molecular Liquids
Publication Date: 2026-04-01
Volume: 447
Issue: Unknown
Page Range: Unknown
Description:
ORFV, also known as Ecthyma contagiosum, in humans is the Orf virus (ORFV), which mostly infects various wild and domesticated animals. A highly contagious zoonotic viral infection is a major concern to everyone who works with sheep and goats. According to taxonomy, ORFV belongs to the genus Parapoxvirus. People encounter animals, their exposed skin areas usually develop sores. Even though the quantity of infected individuals and appearances are thought to be less dangerous, the pathogenic virus's high fatality rate is still a serious concern. Vaccine construct There is currently no approved vaccine to lessen the epidemiological and clinical burden of this highly contagious illness. Thus, the target proteins of ORFV are used in our current investigation to design and formulate a multi-epitope vaccination using immunoinformatic approaches. Potential T-cell and B-cell epitopes from the two pathogenic proteins of ORFV were tested using selection criteria. The chosen epitopes were then put together using the appropriate adjuvants and linkers. MHC cluster analysis and population coverage of the chosen epitopes were both satisfactory. To maintain the tertiary or quaternary relationships, we used disulfide bonding engineering. Additionally, normal-mode analysis was used to investigate the vaccine protein stability and kinematics. The immunological simulation research of vaccine complexes also yielded substantial findings. Furthermore, the molecular docking demonstrated a greater affinity of −265.85 kcal/mol for toll-like receptor-4 (TLR4). Molecular dynamics simulations resulted in the stability of the complex system with (mean RMSD: 7.7 Å; Rg: 18.6 Å), exhibiting localized flexibility at certain residues. Calculations of binding free energy (ΔG = −456.67 kcal/mol, GBSA; −469.56 kcal/mol, PBSA) indicated highly favorable and spontaneous interactions facilitated by electrostatic and van der Waals forces. Herein, our research findings revealed that the vaccine designs may modulate encouraging immune responses against the pathophysiology of ORFV. Therefore, it can generate a baseline pipeline for the experimentalist for in vivo and in vitro investigations.
Open Access: Yes
