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In recent years, I‐III‐VI semiconductor quantum dots (QDs) have shown significant improvements that have unlocked new capabilities and end markets. Some typical examples of I‐III‐VI QDs are CuAlS2 (blue), AgInS2 (green), CuInSe2 (red) CuInSe2 (near‐IR), but other compositions and alloys are possible. These materials exhibit tunable photoluminescence (PL) emissions, and can achieve near unity PL quantum yield. They can have efficient broad emission, but also can have narrow emission, large Stokes shifts, and high optical extinction coefficients. These materials are often more stable, safer, and lower cost than alternatives such as CdSe, InP, and PbS or PbSe QDs. In this work, we discuss industrialization and scale‐up of I‐III‐VI QDs, starting with critical end uses related to spectrum optimization for greenhouses and solar energy. We also update on recent progress narrowing the emission linewidth (full‐width at half maximum) of I‐III‐VI QDs to the point that they are becoming competitive with legacy QDs used in displays and lighting. [ABSTRACT FROM AUTHOR]

New arrangements of power are emerging in response to the turbulence generated by the quest to improve life and render it productive. This paper specifies such arrangements by developing the concept of metabolic politics: an apparatus that shifts from discipline to power regulating material, bodily, and environmental transformations. The dominant function of metabolic politics is to render the transformative capacities of living bodies and the circulatory dynamics of materials into object‐targets of governance. Through a comparative analysis of regulating pollution from industrial poultry units in Britain and India, the paper identifies logics of a metabolic politics and distinguishes these from the biopolitics of populations. Metabolic politics entails interventions targeting a milieu rather than deviant populations; its actions are directed at transformative capacities of bodies in addition to improving their productivity; its modes of governance operates via regulation and not just discipline; and its techniques of operation proceed through modulation instead of enclosure. Metabolic politics is a transversal form of power. It is situated and historically contingent, rather than uniform and universal. As a response to crises generated by the industrialisation and cheapening of life, metabolic politics furnishes vital insights into the administration and governance of the contemporary living and material world. [ABSTRACT FROM AUTHOR]

Compared with the conventional emulsification method, droplets generated within microfluidic devices exhibit distinct advantages such as precise control of fluids, exceptional monodispersity, uniform morphology, flexible manipulation, and narrow size distribution. These inherent benefits, including intrinsic safety, excellent heat and mass transfer capabilities, and large surface‐to‐volume ratio, have led to the widespread applications of droplet‐based microfluidics across diverse fields, encompassing chemical engineering, particle synthesis, biological detection, diagnostics, emulsion preparation, and pharmaceuticals. However, despite its promising potential for versatile applications, the practical utilization of this technology in commercial and industrial is extremely limited to the inherently low production rates achievable within a single microchannel. Over the past two decades, droplet‐based microfluidics has evolved significantly, considerably transitioning from a proof‐of‐concept stage to industrialization. And now there is a growing trend towards translating academic research into commercial and industrial applications, primarily driven by the burgeoning demands of various fields. This paper comprehensively reviews recent advancements in droplet‐based microfluidics, covering the fundamental working principles and the critical aspect of scale‐up integration from working principles to scale‐up integration. Based on the existing scale‐up strategies, the paper also outlines the future research directions, identifies the potential opportunities, and addresses the typical unsolved challenges. [ABSTRACT FROM AUTHOR]

In recent years there has been a growing interest in the scale‐up and commercialization of lignocellulosic biorefinery. Process simulation is a crucial preliminary study, conducted at the system level, to evaluate the feasibility of industrializing biorefinery operations. Numerous research studies have been conducted on the application of process simulation in lignocellulosic biorefinery, making it essential to provide a detailed introduction to this topic. This paper summarizes two aspects of the application of process simulation in lignocellulosic biorefinery: the production of bioenergy and the production of biochemicals. The bioenergy section describes the application of process simulation to hydrochar, syngas, and bioethanol. The biochemicals section relates to the production processes for cellulose, lignin, and hemicellulose. Additionally, the research status of process simulation in biorefinery are detailed from the following aspects: physical property parameters, kinetic study, the variety of raw materials and validation. Finally, this paper discusses some advances in biorefinery process simulation. It is hoped that this paper will assist the industrialization of lignocellulosic biorefinery. [ABSTRACT FROM AUTHOR]

Low‐carbon sustainable development is considered an essential strategy for achieving economic growth and environmental protection, requiring a fundamental transformation of the industrial structure, including developing clean technologies, promoting energy efficiency, and adopting sustainable production and consumption patterns. Simultaneously, the evolving digital economy is acknowledged as an essential driver in optimizing the industrial structure. Therefore, can digital economy development reshape the industrial structure and lead to low‐carbon sustainable development? The main purpose of this paper is to examine the mediating role of industrial structure upgrading in the relationship between the digital economy and low‐carbon development. Its ultimate purpose is to explore more possible paths to achieve low‐carbon development. This paper builds a regression model based on the data of cities. We found that digital economic development can directly promote low‐carbon sustainable development, a conclusion that still holds after endogeneity discussion and robustness testing. Additionally, digital economy development can promote industrial structure upgrading and thus promote low‐carbon sustainable development, meaning that industrial structure upgrading is an effective mechanism for digital economy development to promote low‐carbon sustainable development. This paper provides empirical evidence for the positive environmental externalities of digital economic development and establishes a basic research framework of "digital economic development → industrial structure upgrading → low‐carbon sustainable development." [ABSTRACT FROM AUTHOR]

Manufacturing has the potential to drive economic growth, job creation and poverty reduction, but African manufacturers face challenges in competing with global markets. Agricultural machinery manufacturing may be one niche where African manufacturers can succeed. This paper examines the challenges and opportunities facing local agricultural manufacturers in Africa based on a survey of 386 manufacturers in four countries and qualitative methods. Results show that small, dedicated entrepreneurs have created vibrant local machinery markets. These manufacturers have several comparative advantages, in particular, the ability to develop machinery adapted to local agroecological conditions but face challenges related to financing, human resources, utilities, raw materials, production equipment and the regulatory environment. The paper offers recommendations on how to support local manufacturers to make "Made in Africa" the first choice for African farmers and agro‐food processors. [ABSTRACT FROM AUTHOR]

This paper aims to unfold how peripheral reindustrialisation in Central and Eastern Europe (CEE) produced multiple marginalities in local spaces. Relying on a cultural political economic (CPE) approach, we analyse how the imaginary of reindustrialisation encompassed the discourses on development and the strategies and practices of powerful agents of economic restructuring in an old mining town of Hungary, which entailed new dimensions and depths of poverty. By discussing the changing labour, housing, and environmental conditions of the local poor, we relate structural changes to the changing conditions of social reproduction and local history, and highlight how the new economic trajectory produced marginalised spaces within a dynamic region. In this way, we also extend CPE‐guided research more to the realms of social reproduction and ethnic social relations to get a more fine‐grained understanding of inequalities rooted in peripheral industrialisation and scrutinise prevailing narratives of economic development in CEE. [ABSTRACT FROM AUTHOR]

Summary: The latest developments in the industrial Internet of things (IIoT) have opened up a collection of possibilities for many industries. To solve the massive IIoT data security and efficiency problems, a potential approach is considered to satisfy the main needs of IIoT, such as high throughput, high security, and high efficiency, which is named blockchain. The blockchain mechanism is considered a significant approach to boosting data protection and performance. In the quest to amplify the capabilities of blockchain‐based IIoT, a pivotal role is accorded to the Glowworm Swarm Optimization (GSO) algorithm. Inspired by the collaborative brilliance of glowworms in nature, the GSO algorithm offers a unique approach to harmonizing these conflicting aims. This paper proposes a new approach to improve the performance optimization of blockchain‐based IIoT using the GSO algorithm due to the blockchain's contradictory objectives. The proposed blockchain‐based IIoT system using the GSO algorithm addresses scalability challenges typically associated with blockchain technology by efficiently managing interactions among nodes and dynamically adapting to network demands. The GSO algorithm optimizes the allocation of resources and decision‐making, reducing inefficiencies and bottlenecks. The method demonstrates considerable performance improvements through extensive simulations compared to traditional algorithms, offering a more scalable and efficient solution for industrial applications in the context of the IIoT. The extensive simulation and computational study have shown that the proposed method using GSO considerably improves the objective function and blockchain‐based IIoT systems' performance compared to traditional algorithms. It provides more efficient and secure systems for industries and corporations. [ABSTRACT FROM AUTHOR]

This paper adopts a novel Social Reproduction feminist approach to re‐evaluate the Soviet experience of industrialization within the context of global research on primitive accumulation. I analyse the first Five‐Year Plan as a unique process of 'primitive Soviet accumulation,' focusing on the Zhenotdel collectivization campaign and the often‐overlooked role of Zhenotdel peasant women delegates [krestyanki delegatki]. The study explores their involvement in peasant women's revolts against collectivization, emphasizing the significance of these events for the Zhenotdel's emancipatory programme in the village. Considering class as a social relation to the conditions of life's reproduction, I demonstrate: (1) how primitive Soviet accumulation reshaped the gendered metabolic relationship between land and labour during the first Five‐Year Plan and (2) yet, the allocation of surplus into the expanded Soviet state apparatus laid the foundation for the distinctive Soviet mother–worker gender contract and social citizenship model. [ABSTRACT FROM AUTHOR]

Due to complexity increases in modern systems and the digitalization paradigm shift, industrial development requires the integration of new technologies and methods to keep product quality high while reducing time to market. One emerging paradigm in the Systems Engineering (SE) discipline is ModelBased methods and technologies, and correspondingly Model‐Based Systems Engineering (MBSE) is seeing increased adoption. With mature MBSE application, several benefits can be expected from the availability of models, even from the very early stages of development, enabling increased communication clarity, cross‐domain collaboration, traceability, and analysis. Notably, MBSE enables (Co‐)simulation even at the early stage of architecture/design by leveraging model‐based capabilities. Co‐simulation specifically enables a smooth and seamless integration of different models defined across layers of abstraction, for example, system logical architecture and system physical architecture. However, while MBSE is assisting with many aspects of development it is still a predominantly isolated set of activities throughout the development, especially on the left‐hand side of the traditional V‐model. In this work we discuss the status of Co‐simulation in industrial MBSE and list several existing challenges, then we propose a novel framework for implementing Co‐simulation and exemplify using a real scenario how we might address the observed challenges. The framework hinges on the newly proposed SSP standard and extends the currently industrially adopted FMI (version 3) standard through embedding the FMI file format using various scripts, demonstrated in the Python language for this paper. Finally, we propose a set of recommendations for future investigations to strengthen Co‐simulation in industrial MBSE. [ABSTRACT FROM AUTHOR]

Digital technologies and digitalisation are emerging as new drivers of structural transformation in developing countries. At the firm level, adopting advanced digital technologies offers prospects for improved productivity and competitiveness and, hence, digital industrialisation. However, the determinants of adopting digital technologies in manufacturing firms in developing countries remain anecdotal. This paper uses unique survey data on 516 manufacturing firms in South Africa and a multivariate probit model to examine the determinants of digital technology adoption in South African manufacturing firms. Our results show heterogeneity in the factors explaining digital technology adoption across business functions. Overall, the empirical results reveal that innovation, foreign ownership, exposure to export markets, and higher skilled human capital propel the adoption of digital technologies. In contrast, the lack of capital inhibits the adoption of digital technologies in sampled manufacturing firms in South Africa. We discuss the possible policy implications of these findings and how they fit into the South African Digital Skills policy discourse. [ABSTRACT FROM AUTHOR]

Benefitting from the development of industrial intelligence, data‐driven soft sensors have been widely applied in industrial processes in recent years. Driven by fluctuations in raw material quality, varying loads, and uncertain disturbances, industrial processes are often characterized by nonstationary properties. However, the nonstationary characteristics of the process are not considered in traditional data‐driven methods, leading to the poor prediction performance of soft sensors. Meanwhile, numerous nonstationary modelling methods have been proposed for process monitoring, with probabilistic stationary subspace analysis (PSSA) showing significant application potential. Unfortunately, PSSA has not yet been used to develop effective soft sensors for nonstationary processes. Therefore, the PSSA model is extended to the regression form (PSSR), and a corresponding soft sensing model is developed in this paper. Unlike previous approaches, the proposed PSSR can offer a suitable description of nonstationary processes and fully capture the mathematical correlation between input and output variables. Finally, the prediction performance of PSSR is verified through case studies on a numerical example and penicillin fermentation process. The experimental results indicate that PSSR can provide a superior solution for soft sensing modelling of nonstationary industrial processes. [ABSTRACT FROM AUTHOR]

This paper analyzes environmental convergence and its determinants. We construct our analysis in a bilateral setting and hypothesize that, through foreign direct investment (FDI), one or more investor countries could impact the environmental performance of their hosts, leading thus to a possible environmental convergence between home and host economies. To do this, we construct an original database on bilateral FDI encompassing 128 countries for the period 2000-2012. Our results suggest that, in general, FDI does not directly impact environmental convergence, except for the case of FDI originating from major investor countries. Under specific conditions, FDI can be expected to influence environmental convergence along with other variables such as GDP per capita, industrial development, geographical proximity, or cultural and historical ties. Overall, these effects may vary depending on the type of partnership considered (North-North, North-South, South-North, and South-South). [ABSTRACT FROM AUTHOR]

This paper traces the institutional root of China's rural industrialization to a historical policy, which paired factories in urban areas with people's communes in the countryside during the Send‐Down Movement in the 1970s. The policy, initially intended to improve the lives of sent‐down youth (SDY), is believed to have provided some initial impetus for industrial development in rural areas before the marketization reform that began in the late 1970s. Based on a manually collected county‐level panel dataset of Zhejiang Province, we find that following the implementation of the pairing policy in 1974, counties that received a higher concentration of SDY, relative to their rural population, achieved faster growth in per capita industrial output of commune enterprises. Our results are consistent with various historical accounts. In addition, our tentative evidence shows that the pairing policy had a prolonged effect on rural economic development, lasting into the 1980s. Overall, our findings reveal the importance of some pre‐reform institutions in shaping China's unique paths towards industrialization. [ABSTRACT FROM AUTHOR]

Front and back cover caption, volume 40 issue 4 VIETNAMESE UNDERGROUND LOTTERY The front cover image captures the essence of Vietnam's underground lottery game, đề. Central to the scene are runners and bookies, the critical intermediaries in this illegal yet persistent practice. In a bustling urban setting, people gather to watch lottery draws, discuss numbers and place bets. Numbers dominate the visual landscape, appearing on scraps of paper, digital displays and floating ethereally in the background. These are not mere figures, but powerful symbols carrying deep personal and cultural meanings. A player might be seen contemplating everyday objects or recalling a dream, illustrating how đề participants creatively derive their bets from daily life and nocturnal visions. The image reflects Le Hoang Anh Thu's research on how đề permeates players' routines in Ho Chi Minh City. It depicts the intersection of tradition and modernity, with the game thriving amidst a rapidly changing urban environment. The dreamlike quality of floating numbers and faint lottery ticket patterns echoes the players' belief in supernatural messages. This visual narrative encapsulates how đề transcends gambling to become a way for players to interpret their world. It invites readers to consider the broader anthropological significance of numerical symbolism across cultures, highlighting how numbers shape life narratives and cultural performances. The cover image thus offers a glimpse into a practice that connects everyday Vietnamese experiences with deeper cultural meanings, illustrating the universal yet culturally specific ways numerical reasoning permeates human life. MACROBIOTICS IN VIETNAM This image captures the essence of Le Hoang Ngoc Yen's study on macrobiotics in Vietnam, showing the striking differences between city life and traditional macrobiotic practices. The left side depicts a bustling cityscape, symbolizing the challenges of contemporary living. High‐rise buildings, heavy traffic and visible pollution represent the environmental degradation that accompanies rapid industrialization and urbanization. This side embodies the health hazards of modern life, including exposure to pollutants and processed foods, which many Vietnamese associate with the rise in chronic diseases like cancer, diabetes and cardiovascular ailments. In contrast, the right side portrays a serene rural setting that embodies macrobiotic principles. Lush greenery, simple homes and clear water symbolize harmony with nature. Community members engage in health‐promoting activities such as gardening and cooking with fresh, organic ingredients. This side represents the perceived benefits of returning to natural, unprocessed foods and a lifestyle aligned with ancestral wisdom and environmental sustainability. Yen's research, based on extensive interviews and field visits, reveals growing concern among Vietnamese about the impact of modernization on health and the environment. Many attribute the increase in chronic diseases to chemical‐laden, processed foods and polluted environments. The macrobiotic diet, known in Vietnamese as gạo lứt muối mè ('brown rice and sesame salt'), emphasizes organic whole grains, vegetables and minimally processed foods. Followers view it as more than just a diet – it represents a return to a simpler, more natural way of life in harmony with nature. This perspective illuminates how traditional knowledge addresses modern challenges. The macrobiotic movement offers anthropologists insights into cultural constructions of health, resistance to globalized food systems, and identity negotiation in changing societies. It contributes to debates on tradition and modernity shaping health paradigms and environmental relationships. [ABSTRACT FROM AUTHOR]