Currently, market demand indicates a trend towards the use of milk proteins in food products. Technological innovations in milk protein production have facilitated the development of new products that can be adapted to various food systems. Despite the growing use of milk protein concentrates (MPCs), much remains to be understood regarding how the interactions between these proteins can lead to a more cost-effective ratio and better utilization of their properties. Although a variety of MPCs are available in the market, the industry may face difficulties replacing one brand's product with another. This is because although the products have the same protein content, their production history can interfere with their technological properties. Therefore, the objective of this study was (a) to create a protocol for analyses that allows the segregation of MPCs based on their key characteristics and, using these results and statistical treatments, (b) to develop a diagram to guide the industry, research and development sectors, and/or procurement departments on the potential application of these products and even the possible substitution of one MPC for another. To this end, nine MPC brands were classified based on their rehydration capacity, browning potential, foaming ability and thermal stability. The results of each analysis were scored to generate a rating that classified the samples and enabled the creation of a technological application diagram.

ABSTRACT Future advances in the fields of meteorology and climate science will require scientists to increasingly adopt AI/ML methods and simultaneously strive towards the provision of new high‐resolution services. In this context, the development of new products and services (e.g., data fusion, nowcasting, data assimilation, validation and verification of NWP) may greatly benefit from the adoption of second‐and‐third‐party data (23PD) as a source of high‐resolution observations. In this document, we share KNMI's experience at integrating 23PD in the organisation looking into aspects of internal strategic adaptation (e.g., defining vision and clear objectives, identifying value for the weather chain) to crowdsourcing, digital infrastructure, Open Science, and governance. We think the successful adoption of 23PD might be relevant for AI/ML forecasting, devising new hyperlocal climate services and enable impact‐based analyses at the urban scales.

This study aimed to evaluate the evolution of the overall nutritional quality of prepackaged foods sold in Québec (Canada) regularly consumed at breakfast or as snacks. A repeated cross-sectional analysis was conducted for Breakfast cereals (n2016 306, n2021 310), Sliced breads (n2017 262, n2021 261), Granola bars (n2018 240, n2023 234), and Yogurts and dairy desserts (n2018-2019 468, n2023 279), all sourced from the Food Quality Observatory's databases. Overall nutritional quality was assessed using the score generated by the Nutri-Score updated algorithm (2023). Data were sales-weighted using NielsenIQ data to better represent foods purchased. Overall nutritional quality remained stable over time in all four main food categories (all p ≥ 0.11). Only Yogurts and dairy desserts that specifically underwent reformulation between both data collections showed an improved overall nutritional quality (i.e. lower score; 3.95±3.84 vs. 2.80±2.13, p = 0.03). Moreover, the overall nutritional quality of new products in the Sliced breads, Granola bars, and Yogurts and dairy desserts categories was similar to that of discontinued products (all p ≥ 0.06), while new Breakfast cereals had a lower overall nutritional quality than discontinued cereals (13.45±5.60 vs. 9.75±4.92, respectively, p < 0.001). This study showed that opportunities for product improvement, such as reformulation and the introduction of new products, have not been well integrated yet by food manufacturers in the most commonly purchased products. It highlights the importance for public health authorities to continue to actively develop, implement, evaluate, and support initiatives aimed at improving the overall nutritional quality of prepackaged foods.

ABSTRACT We examine how startups leverage open government data (OGD) to overcome resource constraints and enhance R&D. Using a case study of a South Korean startup, we investigate the development of BIC PM (Big Data Insight Customization Product Manager) – a data-driven platform integrating OGD with AI. This system enables the firm to streamline R&D, improve product validation, and accelerate market readiness despite its limited resources. We apply the Balanced Scorecard framework to assess the system’s multidimensional impact on R&D efficiency. Our findings show that BIC PM facilitates innovation, reduces development time and costs, and supports the launch of competitive products in South Korea. We demonstrate how startups can utilise OGD to build data-driven capabilities that enhance compliance, quality, and competitiveness. This study contributes to the literature by illustrating how public data infrastructure supports startup innovation, offering insights for policymakers to strengthen digital entrepreneurial ecosystems.

In new product development (NPD) projects, how stakeholders co-create value remains underexplored, particularly the distinct pathways through which different engagement modes shape cognition to enable value co-creation. To address these gaps, this study conducted regression analyses on two-wave survey data from 434 mid-level and senior leaders involved in NPD projects. Grounded in transactive memory system (TMS) theory, we develop an “engagement–TMS–outcome” framework. Findings reveal that both in-role and extra-role engagement promote value co-creation, with TMS serving as a mediator. Furthermore, in-role and extra-role engagement facilitate value co-creation through expertise cognition and network cognition embedded in TMS, respectively. This study extends TMS theory from a distributed knowledge storage perspective and offers practical implications for stakeholder management and progress control in NPD projects.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in national economic development. MSMEs have several advantages, including their ability to reduce unemployment by absorbing labor, creating new job opportunities, and providing business solutions for small communities. One example is the Bali Giri Bamboo MSME, which produces cutlery and household products made from bamboo, such as spoons, forks, glasses, tumblers, straws, bread knives, cosmetic containers, and tissue holders. The solutions provided in this program include (1) the procurement of machines and tools to increase production quantity and quality, and (2) training and assistance in the use of tools as well as the development of new products. The method implemented involves providing appropriate technology in the form of machines and tools, along with training and mentoring in their utilization and product innovation. The results of this development program include the provision of various equipment such as lathe machines, drilling machines, complete lathe tool sets, aluminum miter saws, magnetic drills, planer machines, wood cutting table machines, wood profiling machines, grinding machines, polishing grinders, round sanding machines, and chuck sets. Additionally, training and mentoring have enabled the production of new items, including teapots, glasses, cosmetic containers, straws, and bamboo speakers. Through the provision of tools and training, Bali Giri Bamboo MSME is expected to improve both the quality and quantity of its products.

Purpose The study addresses two key questions: (1) How do customers' risk tolerance and relationship age moderate the effect of customer engagement on customer co-creation? (2) How does customer engagement in the co-creation process influence the success of new products? Design/methodology/approach This study develops a framework that links customer engagement, co-creation, customers' risk tolerance, relationship age, and new product success. Data were collected from customers involved in the co-creation process. Structural equation modeling (SEM) was employed to test the study’s hypotheses. Findings The findings reveal that customer engagement has a significant positive impact on customer co-creation, suggesting that engaged customers are more likely to contribute actively to the development of new products. This relationship is further strengthened when customers demonstrate higher risk tolerance and when their relationship with the firm is longer. Moreover, the results show that customer co-creation significantly enhances new product success, underscoring the value of involving customers in innovation processes to improve performance outcomes. These insights offer important implications for managing customer relationships and designing effective co-creation initiatives. Originality/value This study contributes to the literature by exploring the moderating role of customers' risk tolerance and relationship age on the link between customer engagement and co-creation. It also highlights the significant impact of customer co-creation on the success of new products, providing valuable insights for companies looking to enhance product development through customer involvement.

In mid-19th-century America, clothing served multiple roles. It symbolized racial superiority for the white elites by drawing on Western traditions, styles, and history to establish dominance. Clothing also reinforced highly defined gender roles, as women's attire compensated for men’s more drab attire. However, most relevant to this paper is how clothing was used to divide social classes. This paper explores how fashion evolved during the decade before, during, and after the American Civil War, focusing on its role as a marker of social class. The period from the 1850s to the 1870s was tumultuous in American history, as abolitionists clashed with Southern enslavers in a struggle over American identity, all against the backdrop of expanding industrialization. Clothing served as a key player in this struggle, as it legitimized the authority of different ruling classes. The findings of this research are that elite Americans' monopoly over fashion, and tight control of who could wear what devolved as industrialization and modernization fundamentally changed how people interacted with clothing. Elite’s continued to use European court fashion to associate themselves with a hierarchical system, but new technology allowed more and more people to afford and take part in this industry. Men's fashion remained relatively stagnant during this time moving toward a more egalitarian style as industrialization lowered production, labour, and time costs. In contrast, women's fashion changed enormously over the three decades. Women were often used as symbols by men to display wealth, as new developments in manufacturing, trade, and synthetic production allowed for more elaborate stylistic expression. As styles came and went the role of fashion publications, fashion patterns, and industrial manufacturing opened up elite styles to the lower classes. This transition began the decline of elite control over clothing. Because clothing is such a visual representation of class and social mentality, examining how people regulated their attire in the past provides a deeper understanding of history as a whole. To analyze these dynamics, this paper utilizes a combination of magazines, etiquette guides, and daguerreotypes to investigate how fashion during the three decades surrounding the Civil War evolved and reflected class hierarchies. It specifically examines how the American elite dressed on the East Coast, with a primary focus on New York City and other major metropolitan centers of the era.

Computational modelling of materials and catalysis is now indispensable in an industrial setting, fuelled by powerful algorithms and increasing computational speed. This article explores how multiscale modelling techniques are being used to accelerate product development cycles and innovate the way in which new materials are discovered. We discuss current multiscale approaches starting from the atomic simulation to the continuum methods, illustrating how these are applied to provide insight and understanding to real-world catalysts. We illustrate how understanding reactions at atomic and molecular levels directly affects large-scale industrial processes. A key focus is the essential link between model predictions and experimental validation, often requiring advanced characterization. We also address current methodological limitations and explore solutions offered by emerging techniques such as machine learning (ML). Ultimately, this article highlights the transformative role of multiscale modelling in connecting microscopic phenomena with macroscopic performance, significantly accelerating the design and development of new industrial products. This article is part of the theme issue 'Surfaces, interfaces and heterogeneous catalysis'.

ABSTRACT This study draws on organisational inertia theory to examine how industrial robot application (IRA) affects new product development (NPD) in emerging economies, using micro-level data from the China Employer-Employee Survey. Results show that IRA enhances NPD by breaking resource allocation, process, and cognitive inertia. At the firm level, IRA accelerates product iteration under high capacity utilisation, promotes knowledge absorption and resource reallocation in inward-oriented firms, and substitutes for managerial attention when R&D involvement is limited. At the employee level, IRA improves working conditions in low-satisfaction contexts, strengthens collaboration under higher labour protection, and complements low-skilled labour by freeing capacity for innovative tasks. Unlike in developed economies, where IRA often reinforces efficiency and may crowd out product innovation, in emerging markets with rapid growth and diverse demand, IRA acts as a catalyst for innovation. These findings highlight the importance of aligning IRA deployment with organisational conditions and labour institutions, offering practical implications for managers and policymakers to maximise its innovation potential.

Targeted universalism for long-acting PrEP: an urgent need to avoid risk targeting and build population-level impact.

New Product Development (NPD) is a strategic process that helps pharmaceutical companies generate novel products and respond to changing healthcare demands. Gland Pharma, a well-known biopharmaceutical business, prioritizes the use of novel product development (NPD) approaches to ensure the safety, efficacy, and cost of its pharmaceutical products. From ideation to sales, the organization identifies possible product prospects using innovative technology, market research, and regulatory compliance. The key steps include concept development, feasibility assessment, formulation development, clinical investigations, and product release. Gland Pharma maintains strong quality standards while accelerating the delivery of new pharmaceuticals through the use of cutting-edge production methods and a highly skilled workforce. This strategy not only helps the company succeed in the marketplace, but it also improves the health of people globally. The Gland Pharma NPD paper emphasizes the pharmaceutical industry's capacity to strike a balance between strategic planning, innovation, and efficiency.

Abstract In late 2019, the National Weather Service (NWS) transitioned its warning paradigm into an impact-based warning (IBW) format. This new format applies to flash flood warnings and intends to provide detailed information about the hazard, its source, an impact narrative, and a flash flood damage threat tag. These damage threat tags and additional warning information aim to elicit different calls to action for the emergency management community and the public (e.g., Wireless Emergency Alerts). With the advent of highly performant, widely available, and affordable access to pretrained large language models (LLMs) like ChatGPT, in conjunction with the flash flood severity index (a systematically conceived framework for assessing and therefore classifying flash flood severity from textual flash flood reports), the present work explores a systematic LLM-based method for classifying flash flood report narratives into damage threat tags. Specifically, this work showcases the classification of flash flood reports into flash flood severity index (FFSI) impact categories using ChatGPT and prompts engineered to incorporate textualized forms of FFSI impact definitions based on the published literature. Report classifications were verified and contrasted with Flooded Locations and Simulated Hydrographs (FLASH) product outputs for each reported flood event within a given spatiotemporal 3D window. This approach was first tested on a reduced dataset of 663 expert-classified reports which enabled us to compare and contrast the method’s performance. Subsequently, it was used to classify over 22 000 historical local storm reports (LSRs) between May 2018 and June 2022. This unprecedented dataset is the cornerstone that has enabled the research and development of new experimental FLASH products, which look to inform forecasters of the anticipated impacts for any given flash flood forecast, in line with the NWS’s recently implemented IBW framework.

Crafting an innovative one health-aligned machine learning framework for neglected tropical diseases elimination.

Seagrape or baygrape (Coccoloba uvifera) is a fruit distributed throughout the Caribbean that exhibits bioactive properties and nutrients of interest for the food sector. This characteristic represents an opportunity for the development of new food products with nutritional value and for enhancing its economic value for small producers. The present study aimed to perform a proximate analysis of sea grape pulp and seeds under both wet and dry conditions. Additionally, five food product proposals based on sea grape were developed to promote local development, including technological, culinary, and beverage applications. The results showed protein contents ranging from 4–5%, crude fiber from 18–20%, and fat from 1.6–1.8% in dry samples, with similar values between pulp and seeds. In wet samples, the proximate composition decreased due to the high moisture content, particularly in the pulp (82%). These findings highlight the nutritional and culinary potential of sea grape in products such as fruit pastes, beverages, and jams, as well as its incorporation into regional Mexican cuisine, including sauces such as pipian and innovative desserts such as sea grape cheesecake. The use of this fruit represents a sustainable alternative that promotes the utilization of an underexploited resource in the Mexican Caribbean.

In accordance with the strategy for the development of two-component nuclear energy with NFC closure adopted in the Russian Federation, fast neutron reactors must ensure the effective use of mixed uranium-plutonium fuel based on plutonium extracted from SNF of thermal reactors, and then from their own SNF. The first domestic BN reactors used fuel developed by that time based on enriched uranium dioxide. The development of mixed uranium-plutonium oxide (MOX) fuel began with the irradiation of experimental fuel assemblies (FAs) in the research reactor BOR-60, as well as in power reactors BN-350 and BN 600. The BN-800 design was already focused on the use of mixed uranium-plutonium fuel. Due to the delay in the launch of industrial production of MOX fuel created at the Mining and Chemical Combine, the BN-800 was launched (2016) with a hybrid core formed mainly from FAs with uranium fuel manufactured at MSZ JSC. The share of FAs with MOX fuel manufactured at the pilot production facilities of JSC SSC RIAR and the Production Association MAYAK was 16%. The hybrid core was operated until the eighth operation cycle. The transition of BN-800 core to a full loading with MOX fuel was completed by the beginning of the 13-th operation cycle (2023). For fabrication of MOX fuel, plutonium of various isotopic compositions is used, which is ensured by the method implemented at the production site for adjusting the mass fraction of plutonium in the fuel. Currently, the core is being transferred to FAs with fuel cladding from more radiation-resistant steel EK164-CW, which will subsequently allow starting work to increase fuel burnup. At that, compared with current core operation mode with the use of ChS68-CW steel for pin cladding, it is planned to increase fuel burnup from 9.5% h.a. up to 12% h.a. by the maximum value and from 66 MW·d/kg to 86 MW·d/kg by the average value. As part of the development of the technology for burning out minor actinides from the 14-th operation cycle (2024), three FAs have been irradiated in the reactor, which include four fuel elements each with the addition of americium (0.9%) and neptunium (0.6%).

Fermentation improves the nutritional and sensory properties of food. Despite the challenges of fermenting algae individually, incorporating it into vegetable matrices offers a great opportunity for the development of new products. This study aimed to investigate changes in the antioxidant capacity and total phenolic content of Chinese, white, and red cabbages supplemented with Undaria pinnatifida throughout controlled fermentation. These values were then compared to those for the respective spontaneous process (mixed models), as well as to previously published data on cabbage fermentation without algae (simple models). Controlled fermentation was carried out in a two-step process using previously selected autochthonous starter cultures. Antioxidant activity was measured using the DPPH scavenging assay and the CUPRAC assay. The total phenolic content was determined using the Folin-Ciocalteu method. The total phenolic content varied across the different fermentation processes depending on the vegetable matrix. The antioxidant capacity was significantly higher in the controlled process than in the spontaneous one in all mixed models. Red cabbage with algae exhibited higher total phenolics and antioxidant capacity than white and Chinese cabbages with algae. Furthermore, all the mixed models showed higher or comparable total phenolics and antioxidant capacity compared to the respective simple models under similar controlled fermentation and extraction conditions, except for Chinese cabbage with Undaria under the CUPRAC method. Controlled fermentation of the studied cabbages improved their antioxidant capacity to a greater extent than spontaneous in all mixed models. In general, the mixed models showed higher nutritional properties than the simple models.

Strategic alliances have assumed a pivotal role in the growth and competitiveness of organisations, especially in contexts of rapid technological change and high environmental complexity. Drawing on the Dynamic Capabilities View (DCV), this study aims to analyse the impact of strategic alliance management on technological, marketing, and new product development capabilities, considering the mediating role of dynamic capabilities. This research is based on a sample of 200 Portuguese firms, predominantly SMEs, using Structural Equation Modelling (SEM) to test a conceptual model composed of six hypotheses. The results demonstrate that effective alliance management is positively associated with dynamic capabilities, which in turn function as a pivotal mechanism for integrating and reconfiguring resources. Specifically, the findings reveal that these dynamic capabilities (exploration and exploitation) are fundamental to strengthening marketing and technological skills. Notably, technological capability did not yield a significant direct impact on new-product development, suggesting that in this service-intensive context, marketing capabilities and the overall orchestration of dynamic routines are more critical to innovation success. This research offers empirical evidence of how strategic alliances strengthen the competitiveness of SMEs in peripheral EU economies, highlighting that innovation stems from a configuration of integrative capabilities rather than technological assets alone.

The development of the financial sector in Nigeria has not been very successful, thus limiting access to financial services and impeding the process of sustainable economic growth. Despite the fact that digital banking, mobile payments, and financial innovations have made significant progress, the Nigeria still faces challenges in financial inclusion and the efficiency of financial intermediation. This study examined the impact of financial development on sustainable economic growth in Nigeria from 1986 to 2023, employing the Vector Error Correction Model to analyze the data that were sourced from the World Development Indicators and the Central Bank of Nigeria Statistical Bulletin. The result of the Johansen cointegration test revealed a long run relationship among the variables. The results revealed that FinTech, financial inclusion, institutional quality, and literacy rate significantly enhanced economic growth, while financial deepening and government expenditure had positive but insignificant impact on sustainable economic growth. On the other hand, urbanization had negative and insignificant impact, while inflation rate exerted negative but significant impact. For Nigeria to achieve sustainable economic growth, it needs to widen access to finance, enhance the quality of institutions, support the use of technology in finance, increase the public's understanding of finance, and support the macroeconomic environment with appropriate monetary and fiscal policies. Furthermore, the development of new financial products, good urban planning and strict regulatory supervision are very necessary to drive financial intermediation efficiency and, consequently, the maximization of the financial sector's growth impact.

Innovation is of critical importance for the development of business organizations and for maintaining a high level of competitiveness. Therefore, managers are looking for opportunities to support the innovation activity of enterprises, including the development of new products and technological solutions and their integration into business. The aim of this paper is to explore the possibilities for financing the development of innovations in enterprises with a focus on European funds. The research reveals the main priorities in European and national policies for stimulating innovations, as well as trends in the absorption of European funds by Bulgarian enterprises.