Hasil untuk "Labor systems"

G. Schalk, D. McFarland, T. Hinterberger et al.

U. Eco

Eric French

R. Cobb, Yajie Wang, Huimin Zhao

Actinobacteria, particularly those of genus Streptomyces, remain invaluable hosts for the discovery and engineering of natural products and their cognate biosynthetic pathways. However, genetic manipulation of these bacteria is often labor and time intensive. Here, we present an engineered CRISPR/Cas system for rapid multiplex genome editing of Streptomyces strains, demonstrating targeted chromosomal deletions in three different Streptomyces species and of various sizes (ranging from 20 bp to 30 kb) with efficiency ranging from 70 to 100%. The designed pCRISPomyces plasmids are amenable to assembly of spacers and editing templates via Golden Gate assembly and isothermal assembly (or traditional digestion/ligation), respectively, allowing rapid plasmid construction to target any genomic locus of interest. As such, the pCRISPomyces system represents a powerful new tool for genome editing in Streptomyces.

L. M. Aktayeva, A. B. Bekmagambetov, L. I. Yedilbayeva et al.

Relevance. The transition toward risk-oriented occupational safety systems requires modernizing social protection mechanisms for employees exposed to hazardous working conditions. In Kazakhstan, social guarantees are traditionally based on occupational classifications that do not fully reflect actual workplace risk exposure or economic sector characteristics.Objective. To develop and validate an integrated methodological approach for ranking occupations based on professional risk levels and economic activity characteristics.Materials and Methods. This study, conducted in 2024-2025, included an analysis of occupational risk assessment data from pilot enterprises, an evaluation of national labor statistics, and findings from a sociological survey of 312 respondents. An integrated ranking index was developed by calculating a sectoral coefficient reflecting economic activity characteristics. Statistical analysis was performed using SPSS 27.0.Results. Significant variability in occupational risk levels across economic sectors was identified. High and critical risk levels were predominantly observed in mining, metallurgical, and chemical industries, while lower risk levels were characteristic of service and administrative sectors. The proposed integrated ranking model demonstrated the ability to differentiate occupations with similar professional risk exposure by incorporating sector-specific economic indicators, thereby enabling a more precise distribution of social guarantees.Conclusions. The developed model establishes a scientifically justified relationship between occupational risk level and allocation of social guarantees. Implementing the proposed methodology may enhance the effectiveness of occupational safety regulation and support the transition toward a preventive, risk-oriented social protection system in Kazakhstan.

János Juhász

The growing demand for parcel delivery plays an important role in the integration of electromobility and urban logistics into urban delivery systems, especially in a mid-sized Central European city. This study investigates the challenges and opportunities of adopting electric vehicles (EVs) for last-mile delivery in the Miskolc region, Hungary. The author introduces a practical approach to describe the cost-based optimization of urban parcel delivery, formulated as an Electric Vehicle Routing Problem (EV-VRP) that builds on classical Vehicle Routing Problem (VRP) concepts. The developed model focuses on route and vehicle allocation and examines the impact of charging infrastructure and fleet composition on delivery performance, while explicitly evaluating five cost categories: vehicle (including maintenance and service), driver, infrastructure, operation center, and environmental energy. The numerical results validate the model and show that partial fleet electrification can improve cost efficiency and reduce environmental impact even in regions with limited charging capacity. The proposed approach makes it possible to analyze the operational costs of electromobility strategies on last-mile logistics under realistic routing, capacity, and energy constraints. The results confirm that the integration of electric vehicles into city logistics can contribute to more flexible, sustainable, and cost-effective delivery systems. The numerical analysis shows that under the conditions examined, the model results in approximately 20% lower total operational cost compared to the conventional vehicle fleet operating under similar conditions. The cost structure is dominated by labor and vehicle-related components, while infrastructure, operational management, and environmental–energy factors appear with lower intensity.

Mats Ekman, Niklas Jakobsson, Andreas Kotsadam

We conduct a pre-registered randomized controlled trial to test for income targeting in labor supply decisions among sellers of a Swedish street paper. These workers face liquidity constraints, high income volatility, and discretion over hours. Treated individuals received a 25 percent bonus per copy sold for the duration of an issue, simulating an increase in earnings potential. Treated sellers sold more papers, worked longer hours, and took fewer days off. These findings contrast with studies on intertemporal labor supply that find small substitution effects. Notably, when we apply strategies similar to observational studies, we recover patterns consistent with income targeting.

Matthew H. Kilbane

This paper presents a quantitative framework for optimizing human AI workforce allocation in software development, translatable to other labor categories. I formalize baseline and AI-collapsed labor models, derive tipping point equations for safe headcount reduction, and embed them in a multi objective evolutionary optimization setup. NSGAII experiments reveal reproducible, phase specific automation strategies that reduce cost while maintaining quality and stable workloads.

Les auteurs examinent la façon dont plusieurs dimensions de la diversité des équipes et plusieurs de leurs caractéristiques influent sur leurs performances. Ils font appel à une régression par étapes, qu’ils appliquent à 911 équipes de vente travaillant pour une multinationale présente dans 39 pays et territoires. Ils montrent que la diversité des nationalités et des langues maternelles parlées, la taille de l’équipe et l’expérience du chef d’équipe à un poste d’encadrement ont un impact significatif sur les performances. L’étude révèle également les implications plus larges de l’inclusion de variables relatives à la diversité dans l’analyse des performances.

Wilmer Geovany Sepúlveda Manrique, Sergio Felipe Suárez Soto

In the field of job training, the use of haptic devices and virtual reality (VR) applications has been implemented focused on mitigating accidents, which replicate scenarios where situations that refer to high risk for safety, extreme working conditions or handling of hazardous substances underlie. These contexts are aligned with the guidelines offered by the International Labor Organization (ILO) regarding the design and management of safer and more efficient labor systems. The objective of the study was to describe how the implementation of haptic systems in VR applications for job training has been an important axis of innovation in this field, through the descriptive review of related scientific literature. 4075 documents were found, of which 47 were selected related to the object of study, these were classified into four categories: a. Development and evaluation of haptic technology applied to VR experiences; b. Literature check focused on haptic and VR technologies; c. Case studies of VR application development for job training. In conclusion, portable haptic technology has a wide potential in the prevention, evaluation and preventive training of injuries in work environments. The next steps can focus on the development of new materials and portable haptic technology devices that democratize their use in organizations; the development of applications that integrate virtual, augmented or mixed reality components with haptic devices that make it possible to meet the ILO recommendations for the design and management of safer and more efficient work systems.

Sumit S. Kamat, T. Michael Seigler, Jesse B. Hoagg

This article presents a feedback control algorithm for electromagnetic formation flying with constraints on the satellites' states and control inputs. The algorithm combines several key techniques. First, we use alternating magnetic field forces to decouple the electromagnetic forces between each pair of satellites in the formation. Each satellite's electromagnetic actuation system is driven by a sum of amplitude-modulated sinusoids, where amplitudes are controlled in order to prescribe the time-averaged force between each pair of satellites. Next, the desired time-averaged force is computed from a optimal control that satisfies state constraints (i.e., no collisions and an upper limit on intersatellite speeds) and input constraints (i.e., not exceeding satellite's apparent power capability). The optimal time-averaged force is computed using a single relaxed control barrier function that is obtained by composing multiple control barrier functions that are designed to enforce each state and input constraint. Finally, we demonstrate the satellite formation control method in numerical simulations.

Hayato Kanayama, Sho Miyaji, Suguru Otani

How labor markets adjust immediately after minimum wage hikes remains an open, policy-relevant question. This paper studies short-run minimum-wage effects in Japan's spot labor market using Timee data and a wage-bin difference-in-differences design. We find a 2\% employment decline in affected bins, driven by reduced vacancy creation rather than worker supply. Effects are more negative where the minimum-wage bite is higher and in low-wage occupations. Using job descriptions and amenity information, we document reallocation across job types: postings shift toward greater amenity provision and experienced-worker targeting, while female-targeted descriptions become less common, suggesting short-run labor-demand adjustments may foreshadow longer-run reallocation.

Wenxin Liu, Jiakun Fang, Shichang Cui et al.

The growing coupling among electricity, gas, and hydrogen systems is driven by green hydrogen blending into existing natural gas pipelines, paving the way toward a renewable-dominated energy future. However, the integration poses significant challenges, particularly ensuring efficient and safe operation under varying hydrogen penetration and infrastructure adaptability. This paper reviews progress in optimization and control technologies for hydrogen-blended integrated gas-electricity system. First, key technologies and international demonstration projects are introduced to provide an overview of current developments. Besides, advances in gas-electricity system integration, including modeling, scheduling, planning and market design, are reviewed respectively. Then, the potential for cross-system fault propagation is highlighted, and practical methods for safety analysis and control are proposed. Finally, several possible research directions are introduced, aiming to ensure efficient renewable integration and reliable operation.

Francisco M. F. R. Gonçalves, Ryan M. Bena, Néstor O. Pérez-Arancibia

We introduce a new class of attitude control laws for rotational systems; the proposed framework generalizes the use of the Euler \mbox{axis--angle} representation beyond quaternion-based formulations. Using basic Lyapunov stability theory and the notion of extended class $\mathcal{K}$ function, we developed a method for determining and enforcing the global asymptotic stability of the single fixed point of the resulting \mbox{\textit{closed-loop}} (CL) scheme. In contrast with traditional \mbox{quaternion-based} methods, the introduced generalized \mbox{axis--angle} approach enables greater flexibility in the design of the control law, which is of great utility when employed in combination with a switching scheme whose transition state depends on the angular velocity of the controlled rotational system. Through simulation and \mbox{real-time} experimental results, we demonstrate the effectiveness of the developed formulation. According to the recorded data, in the execution of \mbox{high-speed} \mbox{tumble-recovery} maneuvers, the new method consistently achieves shorter stabilization times and requires lower control effort relative to those corresponding to the \mbox{quaternion-based} and \mbox{geometric-control} methods used as benchmarks.

Thomas I. Strasser, Filip Pröstl Andrén

A driving force for the realization of a sustainable energy supply is the integration of renewable energy resources. Due to their stochastic generation behaviour, energy utilities are confronted with a more complex operation of the underlying power grids. Additionally, due to technology developments, controllable loads, integration with other energy sources, changing regulatory rules, and the market liberalization, the systems operation needs adaptation. Proper operational concepts and intelligent automation provide the basis to turn the existing power system into an intelligent entity, a cyber-physical energy system. The electric energy system is therefore moving from a single system to a system of systems. While reaping the benefits with new intelligent behaviors, it is expected that system-level developments, architectural concepts, advanced automation and control as well as the validation and testing will play a significantly larger role in realizing future solutions and technologies. The implementation and deployment of these complex systems of systems are associated with increasing engineering complexity resulting also in increased engineering costs. Proper engineering and validation approaches, concepts, and tools are partly missing until now. Therefore, this paper discusses and summarizes the main needs and requirements as well as the status quo in research and development related to the engineering and validation of cyber-physical energy systems. Also research trends and necessary future activities are outlined.

Themistoklis Charalambous, Zheng Chen, Christoforos N. Hadjicostis

In this paper, we address the average consensus problem of multi-agent systems over wireless networks. We propose a distributed average consensus algorithm by invoking the concept of over-the-air aggregation, which exploits the signal superposition property of wireless multiple-access channels. The proposed algorithm deploys a modified version of the well-known Ratio Consensus algorithm with an additional normalization step for compensating for the arbitrary channel coefficients. We show that, when the noise level at the receivers is negligible, the algorithm converges asymptotically to the average for time-invariant and time-varying channels. Numerical simulations corroborate the validity of our results.

As countries develop, agriculture’s role as domestic employer declines. But the broader agri-food system also expands, and the scope for agriculture-related job creation shifts beyond the farm. Historically, technological revolutions have shaped, and have been shaped by, these dynamics. Today, a digital revolution is taking hold. In this process of structural transformation, societies evolve from having a surplus to a shortage of domestic farm labor, typically met by foreign agricultural wage workers. Yet anti-immigration sentiments are flying high in migrant-destination countries, and agricultural trade may be similarly challenged. Robots in the fields and packing plants offer an alternative to a diminishing labor supply. COVID-19 will reinforce trends of digitization and anti-globalization (including in food trade), while slowing economic growth and structural transformation. In the world’s poorest countries, particularly in Africa, labor productivity in agriculture remains at historically low levels. So, what role can the agri-food system play as a source of employment in the future? This viewpoint elaborates on these trends and reviews several policy options, including inclusive value chain development, better immigration policies, social insurance schemes, and ramp up in agricultural education and extension.

Yaxin Zhou, Lihua Guo, Guonian Dai et al.

There is an urgent need to find new solutions for the global dilemma of increasing antibiotic resistance in humans and animals. Modifying the performance of existing antibiotics using the nanocarrier drug delivery system (DDS) is a good option considering economic costs, labor costs, and time investment compared to the development of new antibiotics. Numerous studies on nanomedicine carriers that can be used for humans are available in the literature, but relatively few studies have been reported specifically for veterinary pharmaceutical products. Polymer-based nano-DDS are becoming a research hotspot in the pharmaceutical industry owing to their advantages, such as stability and modifiability. This review presents current research progress on polymer-based nanodelivery systems for veterinary antimicrobial drugs, focusing on the role of polymeric materials in enhancing drug performance. The use of polymer-based nanoformulations improves treatment compliance in livestock and companion animals, thereby reducing the workload of managers. Although promising advances have been made, many obstacles remain to be addressed before nanoformulations can be used in a clinical setting. Some crucial issues currently facing this field, including toxicity, quality control, and mass production, are discussed in this review. With the continuous optimization of nanotechnology, polymer-based DDS has shown its potential in reducing antibiotic resistance to veterinary medicines.

Charlotte Spear

Studies have noted a dependency on sex work to “make do” in economies ravaged by foreign debt (Harrison 1991; Obregón 2018), necessitating a framing of the dynamics of sex work through a globalized system of enforced debt. This paper explores sex workers’ rights in post-quake Haiti and contemporary Jamaica, through an examination of Makenzy Orcel’s The Immortals (2020) and Nicole Dennis-Benn’s Here Comes the Sun (2017). Like global debt systems, the exploitation of sex workers relies on a politics of dependency and constructed narratives of victimhood. This results in the refusal to recognize sex work as autonomous labor, meaning sex workers do not possess the protections of labor rights (Mgbako 2019). A literary examination of these debates exposes global debt’s modes of subject creation and the powerful resistance inherent in resubjectifying sex workers as conditionally agential rights claimants. This therefore reflects the Warwick Research Collective’s (WReC) suggestion that world-literature registers the “single but radically uneven world-system” in its form and content (2015). By exposing the tensions in subject-making at the heart of both debt economies and sex workers’ rights debates, Orcel and Dennis-Benn create feminized spaces to narrate sex workers’ negotiations of patriarchal-capitalist structures that peripheralize them.

Aliasghar Bazrafkan, Harry Navasca, Jeong-Hwa Kim et al.

Maturity is an important trait in dry pea breeding programs, but the conventional process predominately used to measure this trait can be time-consuming, labor-intensive, and prone to errors. Therefore, a more efficient and accurate approach would be desirable to support dry pea breeding programs. This study presents a novel approach for measuring dry pea maturity using machine learning algorithms and unmanned aerial systems (UASs)-collected data. We evaluated the abilities of five machine learning algorithms (random forest, artificial neural network, support vector machine, K-nearest neighbor, and naïve Bayes) to accurately predict dry pea maturity on field plots. The machine learning algorithms considered a range of variables, including crop height metrics, narrow spectral bands, and 18 distinct color and spectral vegetation indices. Backward feature elimination was used to select the most important features by iteratively removing insignificant ones until the model’s predictive performance was optimized. The study’s findings reveal that the most effective approach for assessing dry pea maturity involved a combination of narrow spectral bands, red-edge, near-infrared (NIR), and RGB-based vegetation indices, along with image textural metrics and crop height metrics. The implementation of a random forest model further enhanced the accuracy of the results, exhibiting the highest level of accuracy with a 0.99 value for all three metrics precision, recall, and f1 scores. The sensitivity analysis revealed that spectral features outperformed structural features when predicting pea maturity. While multispectral cameras achieved the highest accuracy, the use of RGB cameras may still result in relatively high accuracy, making them a practical option for use in scenarios where cost is a limiting factor. In summary, this study demonstrated the effectiveness of coupling machine learning algorithms, UASs-borne LIDAR, and multispectral data to accurately assess maturity in peas.