The relationship between physical activity levels and plantar pressure distribution has not been extensively studied in asymptomatic adults, particularly within the South Asian population. Understanding these correlations will help prevent foot pathologies and develop targeted interventions. To investigate the correlation between levels of physical activity, as measured by the International Physical Activity Questionnaire (IPAQ), and static and dynamic foot pressure distribution in healthy, asymptomatic adults. This prospective cross-sectional study included 200 asymptomatic participants (aged 18-60 years) at a tertiary care center. Participants were categorized into low, moderate, and high physical activity groups based on the IPAQ scores. Plantar pressure distribution was measured using the BTS P-WALK system during standing as well as walking. Peak pressures across ten anatomical foot regions were recorded and analyzed using appropriate statistical methods. Static analysis revealed significantly higher peak pressures under the toes (T1 and T2-5) in the high activity group, particularly on the right foot. The midfoot region showed higher pressure in the low-activity group. The moderate activity group had the highest pressure over the forefoot and hindfoot, while individuals with high physical activity had the lowest overall dynamic plantar pressures. These findings emphasize the biomechanical adaptations associated with varying activity levels and underscore the need for personalized physical activity and footwear recommendations.

Objective.Proton arc therapy (PAT) has the potential to improve plan conformity while enhancing normal tissue sparing; however, its clinical translation faces practical barriers related to radiobiological uncertainties and delivery inefficiency. This study introduces a novel planning approach, mid-range PAT (MRPAT), designed to enhance delivery efficiency and mitigate range-related uncertainties in PAT.Approach.MRPAT employs a single mid-range energy layer per beam direction, positioning the Bragg peak near the target center (mid-range) plane to confine range uncertainty within the target while reducing dose-averaged linear energy transfer (LETd) and relative biological effectiveness (RBE) hotspots in adjacent organs at risk (OARs). The feasibility of MRPAT was investigated on an ellipse phantom and three clinical cases (prostate, spine, and head and neck). Physical dose distributions, LETddistributions, RBE-weighted dose distributions, and delivery efficiency were compared with full-range arc employing all possible energy layers (ELs) (full-arc) and intensity-modulated proton therapy (IMPT) plans with two beams.Main results.Compared with IMPT, arc plans provided substantial improvements in entrance dose control and OAR sparing. The MRPAT plan achieved comparable target coverage and OAR sparing compared to the baseline full-arc plan, demonstrating the redundancy of utilizing all possible ELs. MRPAT effectively confined LETdand RBE hotspots to the center of the target, reducing potential biological weighted dose spillage over the surroundings. In terms of delivery efficiency, MRPAT eliminates EL switching within the same control point by using less than 5% of the ELs, requiring only about 20% of the total beam delivery time compared with the full-arc plan.Significance.MRPAT demonstrates a simple, efficient, and high-LETd/RBE hotspot-containment planning concept that is practical for clinical use and adaptable to future adaptive PAT workflows.

Purpose: The primary aim of the present study was to examine the extent to which participation in organized youth basketball training contributes to physical activity across intensity zones during training sessions in relation to biological maturation status. Methods: Participants were classified into three maturity groups based on predicted age at peak height velocity (PHV): −2.5 to −1.5, −1.5 to −0.5, and ≥−0.5 to 0.83 years from PHV. Data from two training sessions per participant were averaged to obtain representative individual values. One-way analyses of variance (ANOVAs) were used to examine differences in anthropometric, physical performance, and field performance variables between PHV groups. Physical activity patterns were analyzed using two-way mixed-design ANOVAs with PHV stage as the between-subject factor and intensity zone (MET- and HRR-based) as the within-subject factor. Results: Across all maturity groups, approximately 10–17% of total training time was spent in light-intensity activity, while the majority of time was accumulated in moderate-to-vigorous intensity zones (approximately 35–50%, depending on the classification method). Significant maturity-related differences were observed in anthropometric variables and physical performance measures, with more mature players demonstrating superior sprint performance, jumping ability, and grip strength. Field performance indicators also differed between PHV groups, with more mature athletes exhibiting higher external and internal training loads. In contrast, no significant interactions or main effects of PHV stage were observed for physical activity intensity distribution. Conclusions: Organized basketball training contributes substantially to moderate-to-vigorous physical activity accumulated during training sessions. However, these findings reflect training-specific activity and should not be interpreted as representing total daily physical activity. No differences in activity intensity distribution were observed between maturation groups, although this finding should be interpreted with caution, given methodological limitations. These results highlight the need to consider biological maturation when designing youth training programs.

During the development of fuel cell hybrid electric vehicle, it is crucial to obtain real-time information on the physical distribution within the fuel cell stack to ensure the consistency of each cell and thereby maintain the vehicle’s lifespan. This poses higher demands on the precise high-dimensional real-time control modeling technology for vehicle fuel cells. However, balancing model fidelity and computational real-time performance has become a major challenge in the current field. To address this issue, this article proposes a modeling approach based on second-order partial differential equations (PDEs), grid reconstruction (GR)-double tridiagonal matrix equation transformation (DTMET), and Krylov subspace iteration (KSI) modeling method. First, multiphysics domain second-order partial differential equations are employed to describe physical phenomena, thus ensuring model fidelity. Second, GR-DTMET discretizes the PDEs, minimizing redundant information and optimizing memory allocation, thereby regularizing the coefficient matrix of the system of equations. Finally, the model is efficiently solved through KSI with a subspace selection mechanism. 10-kW sightseeing vehicle fuel cell test bench and commercial software simulation results demonstrate that the proposed modeling obtains both excellent fidelity and satisfies the requirements of soft real-time systems for online monitoring and state awareness, showing applicability to practical fuel cell engineering scenarios.

The article examines marketing logistics as an integrated management system within transport enterprises, emphasizing its role in creating sustainable competitive advantages through the effective management of flows and delivery of services that preserve consumer value. In modern economic conditions, traditional isolated application of marketing and logistics tools often fails to ensure the achievement of strategic objectives, particularly under circumstances of high uncertainty, resource limitations, and disruptions in supply chains, such as those experienced during martial law. Marketing logistics emerges as an integrative mechanism that combines market-oriented approaches with process- and flow-oriented logistics, aligning demand generation with the enterprise’s operational capabilities. A critical review of domestic and international literature reveals a lack of unified conceptual understanding of marketing logistics. Foreign studies tend to interpret it from a logistics perspective, emphasizing operational efficiency and physical distribution, while domestic research increasingly views it as a comprehensive, integrative system that coordinates marketing and logistics decisions to achieve long-term competitive advantages. The article classifies approaches to marketing logistics into three groups: functional-distributional, integration-oriented, and value-oriented (synthetic), reflecting its evolution from a narrowly operational function to a strategic management concept. The study offers a conceptual generalization of marketing logistics as an integrated management system under conditions of high uncertainty. The study identifies key objectives and tactical tasks of marketing logistics, including ensuring full and timely satisfaction of consumer demand, optimizing logistics costs, maintaining service quality, enhancing resilience, and supporting sustainable development and digital transformation. The article further delineates the core functions of marketing logistics — analytical, planning, organizational, coordination, control, and value-oriented — demonstrating their integrative nature in harmonizing marketing and logistics processes. Comparative analysis highlights that marketing logistics not only delivers physical products but also generates additional value for the consumer by balancing service levels with operational efficiency. The findings underscore the relevance of marketing logistics as a holistic management tool for transport enterprises operating in dynamic and uncertain environments. Prospects for further research include the development of digital, data-driven, and adaptive approaches to enhance efficiency, resilience, and sustainability in marketing logistics processes.

Early musculoskeletal (MSK) symptoms across occupations often present as strain or fatigue, which may progress into long-term disorders and contribute to global burden disease. This reviewed literature examined occupational exposures and their association with musculoskeletal (MSK) symptoms related to work using MeSH term and Emtree in structuring a framework of population, context, and concept. The population (P) included workers, the concept (C) focused on prevalence and exposure, and the context (C) addressed musculoskeletal pain, discomfort, or symptoms. Eligible studies reporting self-reported prevalence or occupational risk factors were systematically extracted and summarized. Findings among 9 articles indicated majority prevalence of MSK symptoms higher than 60% measured mostly by Nordic Musculoskeletal Questionnaire (NMQ). The highest body part major in low back and upper limbs including wrists for pink-collar, while in blue-collar workers fairly distributed in upper and lower limbs. The physical exposure mainly due to injury body weight, meanwhile psychosocial occupational exposures such as mental stress, job tenure contribute significantly to musculoskeletal symptoms (p<0.001) rather than physical exposure, with prevalence and distribution varying across body regions and occupational groups. These results emphasize the need for baseline data to guide future research based on job demands and inform targeted preventive strategies and workplace interventions.

The current research work deals with the analysis of disturbances in a transversely isotropic thermodiffusive medium with hyperbolic two temperatures due to the application of thermal load. The problem is treated in the framework of Eringen’s theory of nonlocal elasticity and Lord-Shulman theory of generalized thermoelasticity. The material properties are taken as a linear function of reference temperature. Normal mode analysis method is adopted to obtain the physical field distributions. Numerical computations for normal displacement, temperatures, mass concentration and stresses are performed for a suitable material and depicted graphically with the help of MATLAB software. The graphical results indicate that the nonlocal parameter, anisotropy, hyperbolic two temperatures, temperature dependent properties, diffusion and time have significant effects on all the physical fields. Good agreement between the results of the present study in special cases and those available in the literature affirms the validity of the present formulation. A discussion of the results is presented in the paper followed by some concluding remarks.

Chronic low back pain (CLBP) is associated with structural and functional alterations in the lumbar-multifidus (LM) muscle, a key-stabilizer of the spine. In this pilot study, Pennation-angle, a well-established muscle architecture marker not previously assessed in CLBP, was evaluated using ultrasound to compare LM structure between CLBP-patients and healthy-controls and examine its relationship with muscle thickness, pain-intensity and activity-levels. This cross-sectional study included 40 adults aged 18–35 years (20 CLBP-patients, 20 healthy-controls) at AIIMS Jodhpur. Bilateral ultrasound-imaging at the L4–L5 level was performed, and the average of right and left measurements was used to quantify superficial and deep LM pennation-angle and muscle-thickness. Pain intensity (NRS-scale) and physical activity levels were recorded. Group comparisons were performed using t-tests or Mann–Whitney U tests; correlations by Pearson’s or Spearman’s coefficients. CLBP participants showed significantly reduced superficial-pennation angle (7.03 ± 0.98° vs. 8.85 ± 1.25°, p < 0.001; Cohen’s d = − 1.62), superficial muscle-thickness (1.07 ± 0.187 cm vs. 1.29 ± 0.258 cm, p = 0.004; d = − 0.96), and deep muscle-thickness (1.18 ± 0.190 cm vs. 1.32 ± 0.190 cm, p = 0.026; d = − 0.73), while deep-pennation angle showed no group difference (p = 0.235; d = − 0.38). Superficial-pennation angle correlated positively with superficial muscle-thickness (r = 0.678, p < 0.001). NRS showed weak negative trends with all LM parameters. Physical activity distributions differed but were statistically non-significant (χ²=2.88, p = 0.237), although effect size indicated a small-to-moderate trend toward higher sedentary behaviour in CLBP (Cramer’s V = 0.268). The observed reduction in LM pennation-angle and muscle-thickness reflects potential architectural compromise and disuse-related atrophy in CLBP. The strong angle–thickness correlation supports the interdependence of muscle size and fiber orientation. Although pain-intensity and activity-levels were not statistically associated to LM morphology, their negative and sedentary trends may still reflect behavioural and pain-related influences on subtle muscle decline. CLBP patients demonstrate distinct LM architectural alterations, emphasizing the value of ultrasound-based assessment and supporting targeted rehabilitation strategies focused on restoring LM function and morphology. AIIMS/IEC/2025/5525.

Malignant diseases are among the most pressing public health challenges, exerting significant pressure on healthcare resources. Innovative cancer treatments like carbon ion radiation therapy (CIRT) by virtue of its advantages in physical properties, biological effectiveness, and dose distribution compared to photon and proton therapies stands out. This study aims to assess the cost-effectiveness of CIRT in cancer treatment by systematically reviewing existing economic evaluations. The protocol is registered with PROSPERO and employed PRISMA Guidelines. Systematic searches across PubMed, Embase, and Web of Science, between January 2000 and March 2025 were conducted and CIRT pharmacoeconomic articles were included. Screening of the search results, critical quality assessment using Drummond and CHEERS checklist and data extraction were performed. Out of the 10 studies included in this systematic review, seven analysed cost effectiveness and three analysed cost. Total cost for CIRT ranged from €16,937 (approx. USD 19,595) to €43,600 (approx. USD 50,443) and JPY 3,140,000 (approx. USD 20,450) to JPY 4,974,278 (approx. USD 32,396) in Germany and Japan, respectively. Seven studies assessed and reported increased effectiveness of CIRT. Reduction in CIRT technical fees, reirradiation with IMRT, increased survival rate with CIRT, local control rate by 60% with CIRT were found to reduce incremental cost effectiveness ratio. Nine studies show CIRT is cost effective in NSCLC, Adenoid cystic carcinoma, head and neck cancer, skull-based chordoma, recurrent rectal cancer, and hepatocellular carcinoma. The cost-effectiveness of CIRT is likely to improve more in real-world clinical practice due to enhanced efficacy, reduced toxicity, reduced fractionation, and cost reductions.

Proton therapy has emerged as an advanced radiotherapy modality due to its unique physical dose distribution and its distinct radiobiological properties. The finite range of protons in tissue enables highly conformal dose delivery with minimal exit dose, significantly reducing irradiation of surrounding normal tissues compared to photon-based radiotherapy. Beyond these physical advantages, proton beams exhibit a spatially varying linear energy transfer that increases toward the distal edge of the spread-out Bragg peak, leading to clustered and complex DNA damage that is more difficult for cancer cells to repair. This review integrates experimental, computational, and clinical evidence to examine how proton-induced DNA damage, relative biological effectiveness, oxygen effects, and non-targeted responses contribute to tumor control and normal tissue sparing. Comparative analyses with photon intensity-modulated radiotherapy demonstrate consistent reductions in acute and late toxicities across multiple tumor sites, particularly in pediatric patients and in tumors located near critical organs. The review also discusses emerging technologies, including pencil beam scanning, image-guided and adaptive proton therapy, compact accelerator systems, and ultra-high dose rate FLASH proton therapy, which collectively aim to enhance treatment precision, biological effectiveness, and accessibility. Together, these developments support proton therapy as a rapidly evolving modality with significant potential to improve therapeutic outcomes in modern oncology.

Although weekend warrior physical activity is linked to lower mortality in the general population, whether it confers similar benefits among individuals with cardiovascular disease (CVD) remains unknown. This study aimed to investigate the association between a weekend warrior activity pattern and mortality in patients with CVD. We performed a sub-cohort analysis of 8,128 UK Biobank participants with CVD. Physical activity patterns were defined by weekly moderate-to-vigorous physical activity (MVPA) volume and distribution: weekend warrior (≥150 min/week MVPA, with ≥50% accumulated on 1-2 days), regularly active (≥150 min/week MVPA spread over >2 days), and inactive (<150 min/week MVPA). Outcomes were all-cause, CVD-specific, and cancer-specific mortality. Cox proportional hazards models were used to estimate hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) for mortality across activity patterns. Of the participants, 3,004 (44.09%) were weekend warriors, 1,540 (18.95%) were regularly active, and 3,584 (36.96%) were inactive. Over a median follow-up of 7.85 years, 881 deaths occurred. Compared with the inactive pattern, both weekend warrior (HR, 0.61; 95% CI: 0.52-0.71) and regularly active (HR, 0.68; 95% CI: 0.56-0.82) patterns were associated with lower risks of all-cause mortality among participants with CVD. Similar associations were observed for CVD- and cancer-specific mortality. Among individuals with CVD, the weekend warrior pattern was associated with a lower risk of mortality, with survival benefits comparable to those observed for the regularly active pattern. This pattern may serve as a practical alternative for patients who have difficulty maintaining regular activity across the week.

Objectives: The main aim of this study consists of testing the consistency and reliability of the BIANCA (BIophysical ANalysis of Cell death and chromosome Aberrations) biophysical model across different radiation transport codes in the framework of cancer ion-therapy research. Methods: Spread-Out Bragg Peak (SOBP) profiles for protons, helium ions and carbon ions were simulated at three different depth ranges (2-3 cm, 5-8 cm, and 10-15 cm) applying two radiation transport codes, FLUKA and Geant4. While BIANCA has been interfaced to FLUKA in a previous work, an interface with Geant4 was purposely developed in this work. Cell survival along all considered SOBP profiles was predicted by BIANCA for two cell lines with very different radiosensitivities: Squamous Cell Carcinoma (SCC), with α/β = 12.68 Gy, and chordoma, with α/β = 2.37 Gy. The agreement between the predictions obtained from the two approaches was quantitatively evaluated by means of Root Mean Square Error (RMSE) and Gamma Index analysis, both for physical dose distributions and for cell survival predictions. Results: The comparison between FLUKA and Geant4 simulations demonstrated good agreement. The Gamma Index analysis yielded passing rates exceeding 94.9% for physical dose profiles (criteria: 3%/2 mm) and 96.0% for cell survival probabilities (criteria: 2%/2 mm) across all considered ion species (protons, He, C) and depths. Root Mean Square Error (RMSE) analysis confirmed average discrepancies below 2.5% for physical dose and 1% for biological survival. Conclusions: This study shows that the BIANCA model can be applied to predict cell killing along hadron therapy beams when interfaced both with FLUKA and with Geant4. Furthermore, the successful implementation of the interface with Geant4 expands the accessibility and applicability of BIANCA, paving the way for its future integration into different transport codes and/or treatment planning systems.

This study introduces a deep learning framework that integrates risk-neutral information extracted from options markets into physical measure estimates. Although previous research links risk-neutral and physical measures using a pricing kernel, its functional form remains unsolved. To address this challenge, we develop the forward-looking physical return variational autoencoder Wasserstein generative adversarial network (FPR-VAE-WGAN), which is a generative model that reconstructs the mapping between the two measures. This approach allows us to infer forward-looking physical returns exclusively from risk-neutral information. A numerical analysis based on S & P 500 option data demonstrates that forward-looking physical return densities have leptokurtic and heavy-tailed characteristics, as one believes that the real physical return distribution has. Furthermore, by leveraging the joint elicitability of value-at-risk (VaR) and expected shortfall (ES), we derive forward-looking tail risk estimates from the generated physical return distributions.

In this study, we aim to further advance solutions to critical challenges in physical layer secure key generation and distribution (PLSKGD) for optical fiber communication, particularly the limitations of traditional information reconciliation (IR) protocols in mitigating initial key inconsistencies caused by noise and interference. We introduce two innovative approaches: a check node correlation coefficient-based early termination (CNCC-ET) scheme and an elastic reconfigurable (ER) scheme to enhance error correction performance and accelerate IR. The CNCC-ET scheme dynamically monitors the correlation coefficient of messages between check and variable nodes, enabling early termination of iterations when decoding is likely to fail, thus significantly reducing decoding complexity. In high bit error rate (BER) regions, this scheme achieves up to a 51.8% reduction in average iteration counts while maintaining low frame error rates (FER). Concurrently, our ER scheme adapts to varying BER conditions by dynamically adjusting the ratio of information to check bits, achieving a remarkable 90.26% FER reduction in high-BER scenarios. Hardware implementation on a Xilinx Virtex-7 FPGA validates the feasibility of these methods, demonstrating a 47.2% reduction in IR time overhead and significantly improved error correction capability. This study advances the development of more secure and efficient optical fiber communication systems, with potential applications extending to other physical layer security contexts.

The article explores the marketing and logistics aspects of sales management within retail enterprises. The expediency of integrating marketing and logistics as complementary management concepts in sales activities is substantiated. The main elements of marketing distribution policy are analyzed, including distribution channels, intermediary activity, and the management of material and information flows at different stages of the product life cycle. The role of logistics in cost reduction, improving the efficiency of distribution networks, and ensuring sustainable competitive advantages of enterprises is determined. An analytical approach to the development of distribution systems that takes into account the relationship between commercial and physical distribution is proposed. It is proved that the implementation of logistics principles in marketing distribution policy contributes to the optimization of sales processes, improvement of service quality, and strengthening of enterprises’ market positions. The purpose of the article is to examine the theoretical foundations and practical recommendations for improving the logistics support of trade enterprises. The study also aims to identify directions for expanding sales through the application of a marketing approach to sales management. Logistics processes are intricately linked to the overall functioning of the business, including its commercial operations. They do not operate as an independent domain but should align with the primary goals of the enterprise to facilitate their achievement. To establish an effective network and successfully execute logistics activities, careful planning of logistics systems in industrial enterprises is essential. As a relatively new management tool, logistics synthesizes various methods and principles from traditional fields such as marketing, production, finance, and freight transportation. Employing logistics concepts enables the seamless integration of production, material and technical support, transportation, and information flow regarding goods movement into a cohesive system.

This paper proposes a hybrid Green AI framework for achieving sustainable physical distribution in smart supply chains. The framework integrates real-world geospatial data, multi-objective optimization, and meta-inference algorithms. It aims to reduce transportation costs, delivery times, fuel consumption, and CO₂ emissions while maintaining operational efficiency, in line with Sustainable Development Goals 11 and 13. The new MOIAC algorithm enhances ant colony optimization by incorporating environmental weighting into pheromone updates. Real-world validation utilizes Google Maps API data from 19 Egyptian cities, with demand modeled using a Zipf distribution (α = 0.9). OR tools serve as a high-fidelity proxy to simulate the performance of MOIAC and MOIPS under real-world conditions. The results show a 26.7% reduction in total distance, operating costs, and CO₂ emissions compared to baseline methods, with MOIAC achieving the lowest average response time (120 ms). Comparisons with six algorithms—including Greedy, PSO, ACO, and Genetic—confirm the superiority of the proposed approach. This framework demonstrates how green AI and geospatial intelligence can contribute to theoretical optimization and practical logistics, providing a scalable, environmentally friendly, and operationally efficient solution for modern supply chain distribution.

It has come to the attention of the publisher that the article, Rashid A., and Rasheed R. (2025), “Supply chain cognitive resilience through AI-powered risk mitigation and autonomous resilience”, Supply Chain Management: An International Journal, Vol. ahead-of-print No. ahead-of-print, Link to the cited article., contained a few errors in the reference list. The correct references are provided below.The reference:Dubey, R., Bryde, D.J., Blome, C. and Giannakis, M. (2023a), “Supply chain resilience capabilities and organizational ambidexterity: a dynamic capabilities perspective”, International Journal of Operations & Production Management, Vol. 43 No. 5, pp. 651-682, Link to the cited article..should read as:Kong, T. and Feng, T. (2025), “Enhancing supply chain resilience: the role of big data analytics capability and organizational ambidexterity”, Industrial Management & Data Systems, Vol. 125 No. 7, pp. 2348-2370, Link to the cited article..The reference:Baryannis, G., Dani, S. and Antoniou, G. (2019), “Predictive analytics and artificial intelligence in supply chain management: review and implications for the future”, Computers & Industrial Engineering, Vol. 137, p. 106024, Link to the cited article..should read as:Carvalho, T.P., Soares, F.A., Vita, R., Francisco, R.D.P., Basto, J.P. and Alcalá, S.G. (2019), “A systematic literature review of machine learning methods applied to predictive maintenance”, Computers & Industrial Engineering, Vol. 137, p. 106024, Link to the cited article..The reference:Ivanov, D. (2021), “Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains”, Annals of Operations Research, Vol. 313 No. 1, pp. 199-214, Link to the cited article..should read as:Ivanov, D. (2024), “Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains”, Annals of Operations Research, Vol. 335 No. 3, pp. 1627-1644, Link to the cited article..The reference:Dubey, R., Gunasekaran, A., Bryde, D.J., Dwivedi, Y.K. and Papadopoulos, T. (2021b), “Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting”, International Journal of Production Research, Vol. 58 No. 11, pp. 1444-1461, Link to the cited article..should read as:Dubey, R., Gunasekaran, A., Bryde, D.J., Dwivedi, Y.K. and Papadopoulos, T. (2020), “Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting”, International Journal of Production Research, Vol. 58 No. 11, pp. 3381-3398, Link to the cited article..The DOI in the reference:Dubey, R., Bryde, D.J., Blome, C., Roubaud, D. and Giannakis, M. (2021a), “Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context”, Industrial Marketing Management, Vol. 96, pp. 135-146was incorrect. The correct DOI is:Link to the cited article..The reference:Dubey, R., Gunasekaran, A., Childe, S.J., Wamba, S.F., Papadopoulos, T. and Hazen, B.T. (2021c), “Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource-based view and big data culture”, British Journal of Management, Vol. 32 No. 2, pp. 329-350, Link to the cited article..should read as:Dubey, R., Gunasekaran, A., Childe, S.J., Blome, C. and Papadopoulos, T. (2019), “Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource-based view and big data culture”, British Journal of Management, Vol. 30 No. 2, pp. 341-361, Link to the cited article..The reference:Wieland, A. and Durach, C.F. (2021), “Two perspectives on supply chain resilience: reactive and proactive approaches to risks”, International Journal of Physical Distribution & Logistics Management, Vol. 51 No. 2, pp. 173-190, Link to the cited article..should read as:Wieland, A. and Durach, C.F. (2021), “Two perspectives on supply chain resilience”, Journal of Business Logistics, Vol. 42 No. 3, pp. 315-322, Link to the cited article..The following references were inadvertently included in the reference list:The publisher asks that the above are confirmed at article proofing stage.

Development and clinical applications of an all-in-one Monte Carlo-based independent dose calculation system for carbon-ion radiation therapy.

Hypoxia-targeted RBE and OER weighted dose optimization for carbon ion therapy in lung cancer.

Abstract With the deepening of research on smart grids, the distribution system has gradually evolved into a cyber‐physical distribution system (CPDS). The refined reliability modelling and assessment methods for CPDS are of great significance. This paper proposes an integrated reliability assessment framework combining distribution information system (DIS) performance analysis with sequential scenario correction. A DIS model is established. By mapping the performance of DIS fault location and isolation to the operational scenarios of the power distribution system (PDS), the impact of DIS performance on the interruption time of PDS can be quantified. A physical operational scenario simulation and correction method is proposed, which uses the quantified interruption time due to DIS impacts for the correction of PDS operational scenarios. Based on the topology, the distribution system is divided into regions, and an optimal decision model for recovery resources is designed and used to calculate reliability indicators. The improved CPDS reliability assessment results of the IEEE RTS BUS6 F4 bus system are presented and analysed, and the key factors affecting the reliability of CPDS are identified and discussed.