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September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Exploring Consumer Perceptions of Technological Innovations and Payment Systems in China-Pakistan Cross-Border E-Commerce: A Hybrid Sem and AI-Driven Approach

SSRN Working Papers. 2025. P. 00–00.
Iqbal V., Malik M. S., Ain Q. U., Ali I., Ahmed W.

Cross-border e-commerce (CBEC) is reshaping global trade, yet disparities in technological readiness hinder its uniform adoption. While China has established an advanced digital ecosystem through artificial intelligence (AI), secure logistics, and digital payments, Pakistan lags behind due to low digital trust, reliance on cash transactions, and infrastructural constraints. This study explores Pakistani consumers’ perceptions of technological innovations and payment systems in China–Pakistan CBEC, addressing barriers of trust, security, and digital payment adoption. Building on the Technology Acceptance Model (TAM), this research integrates Trust in Technology (TR) and Digital Payment Preference (DPP) to extend its explanatory capacity. A hybrid methodology combining Structural Equation Modeling (SEM) with AI-based techniques was employed. Data were collected from 450 Pakistani consumers experienced in CBEC platforms such as Alibaba, Daraz Global, and AliExpress. SEM tested hypothesized relationships among Perceived Usefulness (PU), Perceived Ease of Use (PEOU), TR, DPP, and Behavioral Intention (BI). Complementing this, AI-driven clustering and Natural Language Processing (NLP) identified consumer subgroups and thematic patterns in qualitative responses. Findings indicate that PEOU significantly influences PU and TR, both of which strongly predict BI. DPP emerged as a critical determinant of adoption, mediating the link between PEOU and BI. AI clustering revealed distinct consumer profiles: risk-averse users reliant on cash, digitally literate adopters embracing mobile wallets, and transitional users shaped by social influence. Sentiment analysis further emphasized concerns about fraud, payment security, and weak regulatory enforcement. This study contributes by enhancing TAM with trust and payment constructs, offering a more nuanced lens for adoption in emerging economies. Practically, it provides insights for policymakers and businesses to promote CBEC adoption through secure payment systems, localized trust-building mechanisms, and AI-enabled personalization strategies tailored to Pakistani consumers.

Research target: Economics and Management
Language: English
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Keywords: электронная коммерцияcross-border e-commercestructural equation modeling (SEM)Technology Acceptance Modelмодель принятия технологийанализ данных и искусственный интеллектtrust in technology artificial intelligenceDigital PaymentsЦифровые платежиДоверие к технологиямМоделирование структурных уравнений
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