ABSTRACT The concept of the Twin Transition (TT) – the integration of green and digital transitions – has evolved from a loosely linked policy idea – especially in the EU’s post-COVID-19 recovery agenda – to an emerging topic in academic research. TT research has grown rapidly, focusing on the enabling role of digital technologies in addressing climate challenges and on the environmental impacts of digitalization. Recently, academic interest has turned toward an underexplored aspect: TT’s regional geography. Emerging evidence indicates that the development and adoption of green and digital technologies are shaped by regional characteristics, including local capabilities, institutional settings, and path dependencies. However, systematic understanding of these geographical dimensions remains limited. This paper addresses that gap through a bibliometric analysis of TT-related research with spatial relevance. Using network analysis and bibliographic coupling, the study identifies key research trends, clusters, and gaps. Findings show a fragmented but fast-growing field, with both qualitative and quantitative approaches offering insights across spatial scales. Patterns of scientific output suggest a ‘success-breeds-success’ dynamic, particularly in ICT-strong regions. The paper underscores the importance of place-sensitive policies and localized knowledge in shaping the TT and offers a roadmap for future research into how regional factors mediate this dual transformation.

The development of digital technology has driven the growth of online lending services (commonly known as pinjol) in Indonesia, particularly among Generation Z. This phenomenon has led to various issues, ranging from consumptive behavior to the entanglement of young people in riba (usury) practices prohibited in Islam. This study aims to analyze the factors that drive consumptive behavior among Gen Z in using online loans and to offer Sharia-based economic solutions to address these problems. The research employs a qualitative method, with data collection techniques that included in-depth interviews with five informants, comprising experts and practitioners in Islamic economics and Islamic fintech, along with documentation studies, and a review of relevant literature. In addition, supplementary data were obtained from a limited questionnaire administered to 19 Generation Z respondents to reinforce the interview findings. The findings indicate that ease of access, a consumptive lifestyle, and a lack of Islamic financial literacy are the main factors behind the widespread use of online loans among Gen Z. The proposed solutions include Islamic financial literacy education, strengthening of regulations, and the development of Sharia-compliant financial technology (fintech). This study is expected to serve as a reference for policymakers in formulating strategies for the prevention and management of online lending issues in accordance with Islamic principles in Indonesia.

Technological developments and feasibility of hydrogen energy systems: production, storage, and distribution

Pediatric exoskeletons have the potential to aid the walking of children with neuromuscular conditions such as crouch gait. However, current exoskeleton devices often rely on bulky batteries and motors. Recent developments in 3D-printing technologies now allow the construction of lightweight yet stiff parts that are easy to customize and use for pediatric applications. We present the mechanical design of a 3D-printed and spring-powered knee exoskeleton for gait assistance. The device had a mass of ∼1.25 kg per leg and provided a knee extensor moment during the stance phase of gait, simulating the spring-like behavior of the knee. Conversely, the exoskeleton provided no resistance during swing to allow free motion of the joint. To validate the device, we recruited two neurologically intact children to walk on a treadmill with and without the exoskeleton while we recorded kinematics, kinetics, and muscle activity data. Our exoskeleton generated knee extensor moments proportional to its angular excursion and had a peak mean moment of ∼0.1 N·m/kg during stance. Kinetic data showed that subjects decreased their biological knee moment and joint spring-like behavior to compensate for the added exoskeleton moment and stiffness, respectively. We ultimately show that the device is robust and capable of generating extensor moments comparable to devices used to assist the knee in children with crouch gait.

Increasing the rigidity of haptens to enhance the immunological performance of monoclonal antibodies against organophosphorus nerve agents.

Sulfur recovery from spent caustic streams: enabling selective transformation via tandem electrochemical-chemical strategy.

Utilizing post-imaging surveys to guide development of photoacoustic computed technology for breast imaging.

Cobalt-modified catalyst derived from cold-rolled sludge for phenol degradation via PMS-activated fenton-like reaction: Performance and mechanistic investigation.

Sylheti is a language spoken by about 11 million people worldwide. It's mostly spoken in northeastern Bangladesh and southern Assam, India, and by people living in other countries who originally came from these regions. Translating Sylheti dialects into Standard Bangla is essential to ensure effective communication across the country and internationally. This article introduces a collection of paired sentences, one in the Sylheti dialect and the other in Standard Bangla. It was created to enhance Neural Machine Translation (NMT) between the two languages. Sylheti is a language with a rich cultural heritage, known for its unique vocabulary, music, and folklore. However, it has been largely absent from formal written materials and digital resources, leaving a gap in its linguistic representation. To bridge this gap, 5002 sentence pairs were carefully collected from various sources, such as Bangladeshi newspapers, social media platforms, voluntary comments and contributions from native Sylheti speakers. The dataset, collected between December 2023 and March 2025, contains diverse linguistic elements. It includes 21,132 unique words (9729 Sylheti words and 11,403 Standard Bangla words), 10,340 clauses (5069 Sylheti and 5271 Standard Bangla), and 10,004 sentences. This collection is not only valuable for machine translation but also plays a crucial role in other areas of natural language processing. It supports tasks like text classification, identifying key names and entities, and analyzing sentiment. Furthermore, it enables the development of advanced technologies for Sylheti, such as text-to-speech systems, sentiment analysis tools, and language models. This resource is a significant step towards better understanding and utilizing the Sylheti language in the digital world.

Children diagnosed with diplegic cerebral palsy frequently experience gait difficulties that can significantly affect their independence and quality of life. The development of advanced technologies presents opportunities to enhance their walking abilities and overall functional performance. The purpose of this study was to determine how children with spastic diplegia performed when walking after completing robotic-assisted treadmill gait training (RATGT). Forty children with spastic diplegia participated in this randomized controlled trial. Their ages ranged from 6 to 11years, and they were able to ambulate and displayed abnormal gait kinematics. They were randomly classified into two groups of equal number; the control group (A) received a regular physical therapy program based on the neurodevelopmental approach, while the study group (B) received RATGT using Lokomat in addition to the regular physical therapy program. Biodex Gait Trainer II was used to assess walking speed, step length, step symmetry, and the 6-min walk test to assess walking capacity for each group before and after the treatment program. There was statistically significant improvement of all measured variables in group B (p<0.05), with significant difference between groups when comparing post-treatment mean values of all measured variables (p<0.05). These findings suggested that RATGT could be used as an additional therapeutic modality to improve walking performance in children with spastic diplegia. Clinical trial registration number from the Pan African Clinical Trials Registry (PACTR) - PACTR202503598420671.

Recent advances in toxicology, extraction, and analytical techniques for benzimidazole veterinary drug residues in food.

Ulva spp., commonly known as sea lettuce, are versatile green macroalgae that offer strong potential for integration into emerging blue and circular bioeconomies. Ulva is a fast-growing and nutrient-tolerant species that produces renewable biomass rich in bioactive compounds with economic potential. This review summarizes advances in the characterization, extraction, and industrial utilization of Ulva biomass, highlighting opportunities for scalable biorefinery approaches. Key bioactive classes include sulfated polysaccharides (ulvans), proteins and peptides, polyunsaturated fatty acids, pigments, and phenolic compounds, which exhibit diverse antioxidant, antimicrobial, and anti-inflammatory properties. Recent developments in green extraction technologies, such as ultrasound-, microwave-, and enzyme-assisted methods, as well as supercritical fluids and deep eutectic solvents, have improved yields in processing Ulva biomass while reducing environmental impact. Beyond laboratory studies, industrial applications are expanding across the food, cosmetic, pharmaceutical, and biomaterial sectors, supported by growing interest in sustainable marine ingredients. However, challenges remain in biomass standardization, taxonomy, large-scale cultivation, and regulatory approval. Integrating Ulva within a circular bioeconomy requires harmonized methodologies and life-cycle assessments to ensure economic and environmental sustainability. Ulva spp. combine rapid growth, carbon capture, and a unique spectrum of bioactive compounds, making them a versatile and scalable marine feedstock for sustainable, circular biorefineries across food, health, and material applications.

A novel enzyme-activated tandem fluorescent probe for dual detection of BChE and A β plaques in Alzheimer's disease.

Efficient, low-cost approaches for disseminating evidence-based training on behavior-analytic interventions to professionals outside of North America are needed to address the scarcity of available services. This study evaluated the effectiveness and acceptability of computer-based instruction for training professionals in Nigeria to conduct pairwise functional analyses of challenging behavior. Six professionals demonstrated high levels of procedural fidelity during role-play and in situ sessions with children after completing a self-paced computer-based instruction program that provided multiple opportunities for active responding and included culturally relevant content. Results extend prior research on virtual training of functional analysis implementation by incorporating a broader range of dependent variables (e.g., graphing, data interpretation) and delivering a fully asynchronous program. Results have implications for the further development of technologies to scale up the reach of behavior analysis services. Issues related to ensuring that asynchronous programs are delivered in an ethically responsible manner are discussed.

This study aims to analyze the contribution of professional competence, integrity commitment, adaptability, and organizational satisfaction to the transformation of human resources (HR) in the Indonesian National Police (Polri). HR transformation is central to police reform, involving the enhancement of professionalism, ethics, and adaptability to technological developments and societal demands. The study uses a literature review method, examining 50 scholarly articles, national and international journals, and official Polri reports from the last ten years (2015–2025). The findings indicate that professional competence improves technical skills and decision-making, integrity commitment strengthens ethics and compliance, adaptability enables members to respond to internal and external changes, while organizational satisfaction drives motivation and loyalty. The integration of these four factors significantly contributes to HR transformation, enhancing public service quality, operational effectiveness, and technology adoption. The literature also highlights the need for competency development based on organizational needs, consistent ethical practices, strategies to enhance adaptability, and management of member satisfaction through a supportive work environment. These findings provide a foundation for Polri policymakers to design effective, sustainable, and adaptive HR transformation strategies in response to social and technological dynamics.

Accelerometric decoding of upper extremity movement intention in children with and without cerebral palsy: Complementary value of mechanomyography.

Diagnostic impact fractures and micro-wear analysis: revisiting the lunate and el-Khiam point succession as a projectile-hunting technological development

The rapid development of digital technologies and the emergence of the digital economy have significantly transformed managerial decision-making processes. Digitalization affects all areas of enterprise activity, including data collection, processing, and analysis, which directly influences the speed, quality, and effectiveness of managerial decisions. Modern managers increasingly rely on digital tools, analytical platforms, decision support systems, artificial intelligence (AI), and large datasets, enabling more informed, timely, and flexible decision-making. These capabilities are essential for maintaining competitiveness in dynamic and uncertain business environments. This article analyzes the transformational features of managerial decision-making under digitalization, emphasizing theoretical foundations and practical applications. Effective managerial decisions are determined not only by their formulation but also by successful implementation, which ensures achievement of both strategic and operational objectives. Key contemporary aspects include digitalization and automation, real-time data-driven analysis, scenario modeling, AI integration, flexibility, and adaptability. These features enhance optimization, responsiveness, and overall managerial efficiency, particularly in enterprises such as bakeries, where production, financial, marketing, and personnel management must respond to fluctuating markets, regulatory changes, and consumer expectations.The classification of managerial decisions is considered with respect to management levels, problem complexity, personnel involvement, functional orientation, and decision-making conditions. Digital technologies facilitate process automation, data integration, collective decision-making, and transparency, enabling managers to make well-grounded, efficient, and adaptive choices. The study demonstrates that incorporating digital tools and AI in decision-making improves performance, strengthens competitiveness, and supports sustainable development of modern enterprises.

ABSTRACT With the increasing ageing population, many older adults still live in the generally designed housing stock, which could be ‘unsuitable’ for them. One effective way to enhance their quality of life and independence is to renovate existing housing. The development of innovative technologies (e.g. virtual reality) and design approaches (e.g. co-design) can provide new strategies for housing renovation practices. However, the knowledge of synergising these technologies with design approaches remains limited, with the potential value yet to be fully recognised. This study explores and validates a method that synergises co-design, empathic design, and virtual reality within a senior social housing renovation project in the Netherlands, which focuses on three phases: a) translating the design ideas, empathic elements, and requirements of senior residents into digital models, b) developing virtual scenarios to illustrate design variations, and c) evaluating and modifying the design variations with stakeholders using virtual reality devices. Through data analysis of the semi-structured interviews, questionnaires, co-designed sketches, and communication transcriptions, the results reveal that customised renovation design enhances stakeholder engagement and improves the effectiveness of the design process, especially for the residents. This study provides a reference for future design research involving the use of VR with older adults.

ABSTRACT This paper explores how healthcare professionals learn through the introduction of a digital wound care application, focusing on how new forms of collaboration and practice emerge in response to digitalisation. Situated within the context of a formative intervention study using the Change Laboratory method, the research draws on qualitative data from seven sessions involving interprofessional participants. The aim was to investigate how learning unfolds when established routines are disrupted, and how professionals engage in expansive learning across organisational boundaries. Rather than simply adopting a new tool, participants reconfigured their object of care and reorganised their activity system through processes of reflection, negotiation, and experimentation. Drawing on expansive learning theory and complemented by flow theory, the study examines how learning is enacted through the temporal (timing), perceptual (attentionality), and experiential (undergoing) dimensions of practice. The findings highlight that learning is not a linear process of adaptation, but an emergent, situated transformation driven by contradictions within existing routines. The study contributes to understanding professional learning as a dynamic and practice-based process, where technological innovation, organisational change, and knowledge development are co-constituted.