Comparative evaluation of different recycling modes for decommissioned photovoltaic products based on stackelberg game.

China is the photovoltaic (PV) leader worldwide and will be confronted with significant challenges stemming from the scrap tide of PV products. Constructing an effective recycling system is essential for retired PV product management. Using the Stackelberg game theory, this study establishes and compares three recycling modes including manufacturer recycling, third-party recycling, and producer responsibility organization (PRO) recycling for decommissioned PV products. Afterward, the effects of module processing costs, echelon utilization rates, and collection subsidies on the transfer prices, collection quantities, supply chain profits, and carbon emissions of the various recycling modes are simulated and analyzed. The results reveal that: (1) The manufacturer recycling realizes optimal supply chain profits; (2) Compared to the PRO recycling mode, the third-party recycling experiences superior performances when retired module processing costs are lower than a specific threshold; (3) Uplifting echelon utilization rates and collection subsidies while reducing module processing costs could supplement the overall economic and environmental benefits within the PV closed-loop supply chain (CLSC); (4) Environmental performances of the different recycling modes are associated with the carbon emission reduction efficiency. Accordingly, valuable insights are provided for manufacturers, recyclers, and governments to develop a sustainable retired PV product recycling system.

Incidence of anastomotic leakage using powered circular staplers versus manual circular staplers for left colorectal anastomosis: a cost-effectiveness analysis.

BACKGROUND: Colorectal anastomotic leakage causes severe consequences for patients and healthcare system as it will lead to increased consumption of hospital resources and costs. Technological improvements in anastomotic devices could reduce the incidence of leakage and its economic impact. The aim of the present study was to assess if the use of a new powered circular stapler is cost-effective. METHOD: This observational study included patients undergoing left-sided circular stapled colorectal anastomosis between January 2018 and December 2021. Propensity score matching was carried out to create two comparable groups depending on whether the anastomosis was performed using a manual or powered circular device. The rate of anastomotic leakage, its severity, the consumption of hospital resources, and its cost were the main outcome measures. A cost-effectiveness analysis comparing the powered circular stapler versus manual circular staplers was performed. RESULTS: A total of 330 patients were included in the study, 165 in each group. Anastomotic leakage rates were significantly different (p = 0.012): 22 patients (13.3%) in the manual group versus 8 patients (4.8%) in the powered group. The effectiveness of the powered stapler and manual stapler was 98.27% and 93.69%, respectively. The average cost per patient in the powered group was €6238.38, compared with €9700.12 in the manual group. The incremental cost-effectiveness ratio was - €74,915.28 per patient without anastomotic complications. CONCLUSION: The incremental cost of powered circular stapler compared with manual devices was offset by the savings from lowered incidence and cost of management of anastomotic leaks.

The impact of perceived environmental uncertainty on green innovation: evidence from text recognition of Chinese listed companies' annual reports.

China has implemented a series of environmental policies aimed at promoting green and innovative development by enterprises, to mitigate the adverse effects of environmental pollution. However, the frequent revision and introduction of environmental policies have also increased enterprises' perception of environmental uncertainty. This study, based on the upper echelon theory, uses data from listed companies in China from 2011 to 2021 to construct an index of perceived environmental uncertainty of firms through textual analysis and empirically examines its impact on green innovation and its potential mechanisms and boundary effects. The results show that, first, perceived environmental uncertainty of firms has a noteworthy inhibiting impact on green innovation. Second, mechanism analysis reveals that perceived environmental uncertainty of firms inhibits green innovation mainly in two ways: reducing the level of transparency in corporate information and reducing R&D investment. Third, the moderating effect finds that government subsidies can mitigate the inhibitory impact of perceived environmental uncertainty on green innovation among firms. In other words, higher government subsidies correspond to a reduced inhibitory effect of perceived environmental uncertainty on green innovation among firms. In addition, heterogeneity analysis shows that this inhibition is more obvious in non-state-owned enterprises, small enterprises, and enterprises in non-heavy pollution industries. This study holds immense practical significance for enterprises in harnessing the opportunities of green innovation amidst perceived environmental uncertainty, facilitating progressive green development, and ultimately fostering the harmonized growth of economic and environmental benefits for enterprises.

Concordance between microsatellite instability and mismatch repair protein expression in colorectal cancer and their clinicopathological characteristics: a retrospective analysis of 502 cases.

Microsatellite instability (MSI) is one of the hallmarks of colorectal cancer (CRC). Mismatch repair (MMR) protein expression may reflect MSI status. To analyze the concordance between MSI and MMR expression in CRC and their clinicopathological characteristics, 502 CRC patients were retrospectively collected in this study. Polymerase chain reaction-capillary electrophoresis (PCR-CE) was used to measure MSI, and MMR expression was determined by immunohistochemistry (IHC). The causes of non-concordance were analyzed. Chi-square test was used to find the correlation between MSI and various clinicopathological parameters. PCR-CE results showed 64 (12.7%) patients had high microsatellite instability (MSI-H); low microsatellite instability (MSI-L) and microsatellite stable (MSS) cases were 19 (3.8%)and 419 (83.5%), respectively. With regard to IHC, 430 (85.7%) showed proficient mismatch repair (pMMR) and 72 (14.3%) showed deficient mismatch repair (dMMR). The coincidence rate of MSI and MMR expression in CRC was 98.4% (494/502), with good concordance (Kappa = 0.932). Using PCR-CE as the gold standard, the sensitivity, specificity, positive predictive value, and negative predictive value of IHC were 100%, 98.2%, 88.9%, and 100%, respectively. MSI-H was more common in women, right colon, tumors ≥ 5 cm, ulcerative type, mucinous adenocarcinoma, poor differentiation, T stage I/II, and without lymph node or distant metastasis for CRC patients. In summary, MSI exhibited some typical clinicopathological characteristics. MSI and MMR expression in CRC had good concordance. However, it is still extremely necessary to perform PCR-CE. We recommend that testing packages of different sizes should be developed in clinical practice to create a testing echelon, to facilitate comprehensive selection according to experimental conditions, clinical diagnosis, and treatment needs.

"Internet+ Recycling" Platform Participation Selection Strategy in a Two-Echelon Remanufacturing Closed-Loop Supply Chain.

Compared with traditional offline recycling channel, recycling through the "Internet+ recycling" platform has increasingly attracted the academic and practical intention in the past decade because of its accessibility and convenience. To promote the recycling initiatives and construct sustainable operations, how to stimulate supply chain stakeholders participating in the online recycling becomes a challenge issue. This paper considers one supplier, one manufacturer, and one third-party recycler (3PR) in a two-echelon remanufacturing closed-loop supply chain with an "Internet+ recycling" platform, in which consumers can access the online recycling platform and make an appointment for recycling without a physical visit. The manufacturer has three choices: either do not participate or participate with one of two strategies: cost-sharing (CS) or active promotion (AP) strategy. We develop a Stackelberg game model to study the motivation of the manufacturer to participate in the "Internet+ recycling" platform and the influence mechanism of key factors. The key findings include the following: (1) compared with the case without the "Internet+ recycling" platform, when the proportion of cost sharing for the 3PR is low, strategy CS contributes to the improvement of the 3PR's performance; (2) in the presence of two participation strategies, when the disassembly rate is low enough, the manufacturer prefers strategy AP; otherwise, he selects strategy CS; and (3) a high proportion of cost sharing for the manufacturer or low promotion effort cost can increase the whole profit of the closed-loop supply chain.

Literature Review on Power Battery Echelon Reuse and Recycling from a Circular Economy Perspective.

Developing new energy vehicles (NEVs) is necessary to grow the low-carbon vehicle industry. Many concentrated end-of-life (EoL) power batteries will cause large-scale environmental pollution and safety accidents when the time comes to replace the first generation of batteries if improper recycling and disposal methods are utilized. Significant negative externalities will result for the environment and other economic entities. When recycling EoL power batteries, some countries need to solve problems about lower recycling rates, unclear division of echelon utilization scenarios, and incomplete recycling systems. Therefore, this paper first analyzes representative countries' power battery recycling policies and finds out the reasons for the low recycling rate in some countries. It is also found that echelon utilization is the critical link to EoL power battery recycling. Secondly, this paper summarizes the existing recycling models and systems to form a complete closed-loop recycling process from the two stages of consumer recycling and corporate disposal of batteries. The policies and recycling technologies are highly concerned with echelon utilization, but few studies focus on analyzing application scenarios of echelon utilization. Therefore, this paper combines cases to delineate the echelon utilization scenarios clearly. Based on this, the 4R EoL power battery recycling system is proposed, which improves the existing recycling system and can recycle EoL power batteries efficiently. Finally, this paper analyzes the existing policy problems and existing technical challenges. Based on the actual situation and future development trends, we propose development suggestions from the government, enterprises, and consumers to achieve the maximum reused of EoL power batteries.

Spent lithium ion battery (LIB) recycle from electric vehicles: A mini-review.

Electrifying transportation through the large-scale implementation of electric vehicles (EVs) is an effective route for mitigating urban atmospheric pollution and greenhouse gas emissions and alleviating petroleum-derived fossil fuel reliance. However, huge dumps of spent lithium-ion batteries (LIBs) have emerged worldwide as a consequence of their extensive use in EVs. With the increasing shortage in LIB raw materials, the recycling of spent LIBs has become a fundamental part of a sustainable approach for energy storage applications, considering the potential economic and environmental benefits. In this mini-review, we will provide a state-of-the-art overview of LIB recycling processes (e.g., echelon utilization, pretreatment, valuable metal leaching and separation). We then discuss the sustainability of current LIB recycling processes from the perspectives of life cycle assessment (LCA) and economic feasibility. Finally, we highlight the existing challenges and possibilities of LIB recycling processes and provide future directions that can bridge the gap between proof-of-concept bench demonstrations and facility-scale field deployments through mutual efforts from academia, industry, and government. It is expected that this review could provide a guideline for enhancing spent LIB recycling and facilitating the sustainable development of the field.

A two-echelon location routing problem with mobile satellites for last-mile delivery: mathematical formulation and clustering-based heuristic method.

In last-mile delivery, the turbulence of traffic uncertainties is often solved by establishing and utilizing multiple buffering warehouses (satellites) with setup and operational costs, which are very costly in implementation. This distribution system involving satellites is often derived as the two-echelon location routing problem (2E-LRP). This study proposes a new variety of 2E-LRP problems with mobile satellites, called 2E-LRP-MS, which aims to reduce the cost of 2E-LRP by replacing fixed-located satellites with mobile satellites. Rather than utilizing fixed-location satellites, 2E-LRP-MS employs the first echelon vehicles (CT) as the mobile satellites moving around the city to replenish multiple second echelon vehicles (CF) en-route. For the cargo replenishment process, CT and CF can temporarily park at the consolidation points (CP), such as public parking lots or paid loading-unloading zones. With this flexibility, the high operational costs of the fixed-location satellites can be exchanged with CP's relatively low maintenance or renting fees, such as parking expenses. In this work, we introduce a heuristic method called clustering-based simultaneous neighborhood search (CSNS) to solve the proposed 2E-LRP-MS problem. The proposed CSNS considers the probabilistic mechanism and k-means clustering algorithm for facility selection, simultaneous neighborhood search to generate the routing solution, and local searches for optimizing the routing solution. Experimental results highlight the flexibility advantage of 2E-LRP-MS over 2E-LRP models and the searching efficiency of the proposed CSNS over the recent heuristic methods for two-echelon routing problems and commercial solver CPLEX.

Nexus between environmental disclosures and top management team characteristics: a systematic review.

Voluntary nature of sustainability disclosures in most of the countries shifts focus of academicians towards discretion of top executives as a major determining force for firms to make their operations environmentally and socially sustainable. Based on two decade literature on the topic available at Scopus database this study aims to present a comprehensive knowledge map of intellectual structure on the relationship of top management characteristics on sustainability spending and disclosures. A bibliometric systematic review of 164 articles from 2002 to 2022 has been conducted with the help of VOSviewer and identified most influential journals, articles, and the countries whose corresponding authors have contributed in the field and influential research clusters in the literature. These research clusters are first, red cluster with 94 articles has discussed the upper echelon's personal and professional characteristics in relation to sustainability disclosures. Second, green cluster with 60 articles has discussed particularly the gender diversity in top executives and board of directors in relationship with sustainability disclosures. Third, blue cluster with 10 articles has elaborated the influence of independent directors on sustainability disclosures of corporate sector. The findings of this study will particularly help the regulators to make regulations regarding critical mass of female on boards and top management, family-owned firms, and politically connected directors. Moreover it will also help consultants, analysts, and investment bankers to differentiate firms with pressure-resistant and pressure-sensitive institutional investors. From this review shareholders can be very much clear in the selection of their representatives and ultimately the appointment of top management team. This study also provides an insight for future direction so that unexplored dimension of this field may further be discovered by upcoming researchers.

Emergency logistics network optimization with time window assignment.

During natural disasters or accidents, an emergency logistics network aims to ensure the distribution of relief supplies to victims in time and efficiently. When the coronavirus disease 2019 (COVID-19) emerged, the government closed the outbreak areas to control the risk of transmission. The closed areas were divided into high-risk and middle-/low-risk areas, and travel restrictions were enforced in the different risk areas. The distribution of daily essential supplies to residents in the closed areas became a major challenge for the government. This study introduces a new variant of the vehicle routing problem with travel restrictions in closed areas called the two-echelon emergency vehicle routing problem with time window assignment (2E-EVRPTWA). 2E-EVRPTWA involves transporting goods from distribution centers (DCs) to satellites in high-risk areas in the first echelon and delivering goods from DCs or satellites to customers in the second echelon. Vehicle sharing and time window assignment (TWA) strategies are applied to optimize the transportation resource configuration and improve the operational efficiency of the emergency logistics network. A tri-objective mathematical model for 2E-EVRPTWA is also constructed to minimize the total operating cost, total delivery time, and number of vehicles. A multi-objective adaptive large neighborhood search with split algorithm (MOALNS-SA) is proposed to obtain the Pareto optimal solution for 2E-EVRPTWA. The split algorithm (SA) calculates the objective values associated with each solution and assigns multiple trips to shared vehicles. A non-dominated sorting strategy is used to retain the optimal labels obtained with the SA algorithm and evaluate the quality of the multi-objective solution. The TWA strategy embedded in MOALNS-SA assigns appropriate candidate time windows to customers. The proposed MOALNS-SA produces results that are comparable with the CPLEX solver and those of the self-learning non-dominated sorting genetic algorithm-II, multi-objective ant colony algorithm, and multi-objective particle swarm optimization algorithm for 2E-EVRPTWA. A real-world COVID-19 case study from Chongqing City, China, is performed to test the performance of the proposed model and algorithm. This study helps the government and logistics enterprises design an efficient, collaborative, emergency logistics network, and promote the healthy and sustainable development of cities.

Comparison of Clinical Outcomes of Gripping Surface Technology Staple Reloads versus Standard Staple Reloads Used with Manual Linear Surgical Staplers.

Purpose: Linear surgical staplers reduce rates of surgical adverse events (bleeding, leaks, infections) compared to manual sutures thereby reducing patient risks, surgeon workflow disruption, and healthcare costs. However, further improvements are needed. Ethicon Gripping Surface Technology (GST) reloads, tested and approved by regulatory authorities in combination with powered staplers, may reduce surgical risks through improved tissue grip. While manual staplers are used in some regions due to affordability, clinical data on GST reloads used with manual staplers are unavailable. This study compared surgical adverse event rates of manual staplers with GST vs standard reloads. These data may be used for label changes in China and Latin America. Patients and Methods: Patients undergoing general or thoracic surgery between October 1, 2015 and August 31, 2021 using ECHELON FLEX™ manual staplers with GST or standard reloads were identified from the Premier Healthcare Database. GST reloads were compared to standard reloads for non-inferiority in bleeding and anastomotic leak for general surgery. Secondary outcomes included sepsis for general surgery, and bleeding and prolonged air leak for thoracic surgery. Covariate balancing was performed using stable balancing weights. Results: The general and thoracic surgery cohorts contained 4571 (GST: 2780; standard: 1791) and 814 (GST: 514; standard: 300) patients, respectively. GST reloads were non-inferior to standard reloads for bleeding and anastomotic leak (adjusted cumulative incidence ratio: 1.02 [90% CI: 0.71, 1.45] and 1.03 [90% CI: 0.72, 1.46], respectively) for general surgery. Compared with standard reloads, GST reloads had a similar incidence of sepsis (2.2% vs 2.1%) for general surgery and lower incidences of bleeding (9.5% vs 16.0%) and prolonged air leak (12.6% vs 14.0%,) for thoracic surgery. Conclusion: GST reloads, compared to standard reloads, used with ECHELON FLEX™ manual staplers had comparable perioperative bleeding and anastomotic leak for general surgery, and lower incidences of safety events for thoracic surgery.

System Dynamics Analysis of Upper Echelons' Psychological Capital Structures in Chinese Mixed-Ownership Reform Enterprises During the COVID-19 Pandemic.

The COVID-19 pandemic has caused major changes in the psychological capital structure of individuals and groups, especially among members of the upper echelons of Chinese mixed-ownership reform enterprises, who are more sensitive to the environment. Based on prospect theory. In order to further study the changes in the psychological capital structure of upper echelons of the mixed ownership reform of state-owned enterprises under the influence of the COVID-19, and what impact it has on the decision-making behavior of the upper echelons and the development performance of the mixed ownership reform enterprises, this paper introduces the system dynamics research method into the research field of the upper echelons for the first time, and studies the psychological capital structure of the upper echelons through simulation. This paper puts forward new research ideas for the research on the psychological capital structure of upper echelons. Using the system dynamics method, this study investigates the changes induced by the COVID-19 pandemic, on the psychological capital structure of the upper echelons of Chinese mixed-ownership reform enterprises; and assesses the concept model of behavioral psychological capital adjustment. The impact of COVID-19 on communication strategies among upper echelons, directly affects the evolution results of the decision-making system. The psychological capital structure in the upper echelons has evolutionary stability strategies in three cases. In some cases, the system evolution presents periodic characteristics. The higher the probability of group communication, the more stable the psychological capital structure, and the greater the fluctuation of behavioral integration. There is a significant correlation between the level of efficacy and resilience of upper echelons psychological capital structure and upper echelons decision-making behavior. Under the condition of improving the communication probability among upper echelon members, there is a positive correlation between the level of hope and optimism of upper echelon and the power structure of upper echelon and the development performance of mixed reform enterprises. Develop the psychological capital structure of upper echelon of mixed reform enterprises, improve the level of financing development decision-making ability and improve decision-making performance.

Carbon emission reduction cooperation of three-echelon supply chain under consumer environmental awareness and cap-and-trade regulation.

Considering that both the manufacturer's production process and the transporter's freight process produce carbon emissions, this paper constructed a three-echelon supply chain composed of a manufacturer, a transporter, and a retailer. This article studies the cooperative carbon emission reduction among the supply chain members under the carbon cap-and-trade policy and consumer environmental awareness. We used the Stackelberg game to explore four scenarios as follows: (1) in the non-cooperative decision model, no cooperation takes place among all supply chain members; (2) in the local cooperation decision of the manufacturer and the transporter alliance model, the manufacturer and the transporter work together to make decisions reducing carbon emissions, but each member of the supply chain makes its own pricing decisions; (3) in the local cooperation decision of the retailer-transporter alliance model, there is no cooperation except that the retailer and the transporter cooperate with each other to determine the selling price of the product; and (4) in the overall-cooperative decision model, there is complete cooperation among the members of the supply chain, who collectively decide on carbon emission reduction and the selling price of the product. Then, using the backward induction method, we derived and compared the equilibrium solutions and the profits of the supply chain system. The results showed that the scenario of complete cooperation among all supply chain members had the best performance in carbon emission reduction, market equilibrium quantity, and the supply chain system's profit, but the selling price of the product was likely to be higher than other scenarios. Two contracts have been proposed to coordinate the supply chain system. The cost-sharing contract is effective but imperfect under limited constraints. The two-part tariff contract can realize perfect coordination of the supply chain. Finally, we obtained several interesting conclusions from the numerical example and provide managerial insights and policy implications from the analytical results.

Detection of space-time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan.

In this paper, we detected space-time clusters using data on coronavirus disease 2019 (COVID-19) collected daily by each prefecture in Japan. COVID-19 has spread globally since the first confirmed case in China, in December 2019. Several people have to date been infected in Japan since the first confirmed case in January 2020. The outbreak of COVID-19 has had a significant impact on many people's lives. Studies are being conducted to detect regions, called clusters, which pose a significantly higher risk of infection than their surrounding areas, based on a spatial scan statistics of COVID-19 infections. Among these studies, space-time cluster detection has to date been actively performed to gain knowledge regarding infection status. Based on the spatial scan statistic, the cylindrical scan method is a widely used space-time cluster detection method. This method enables concurrent detection of the location and time of a cluster occurrence. However, this method cannot capture spatial changes in a cluster over time. When applying the existing method to a cluster whose shape changes over time, the number of calculations required becomes extremely large, and the analysis may become difficult. In this study, we focused on the hierarchical structure of the data obtained by conducting an echelon analysis and applied the space-time cluster detection method based on this structure to enable the capture of changes in a cluster's shape. Furthermore, we visualized the location and period of a cluster's occurrence and considered the cause of the cluster.

Cooperatively Routing a Truck and Multiple Drones for Target Surveillance.

With the development of drone technology, drones have been deployed in civilian and military fields for target surveillance. As the endurance of drones is limited, large-scale target surveillance missions encounter some challenges. Based on this motivation, we proposed a new target surveillance mode via the cooperation of a truck and multiple drones, which enlarges the range of surveillance. This new mode aims to rationally plan the routes of trucks and drones and minimize the total cost. In this mode, the truck, which carries multiple drones, departs from its base, launches small drones along the way, surveils multiple targets, recycles all drones and returns to the base. When a drone is launched from the truck, it surveils multiple targets and flies back to the truck for recycling, and the energy consumption model of the drone is taken into account. To assist the new problem-solving, we developed a new heuristic method, namely, adaptive simulated annealing with large-scale neighborhoods, to optimize truck and drone routes, where a scoring strategy is designed to dynamically adjust the selection weight of destroy operators and repair operators. Additionally, extensive experiments are conducted on several synthetic cases and one real case. The experimental results show that the proposed algorithm can effectively solve the large-scale target surveillance problem. Furthermore, the proposed cooperation of truck and drone mode brings new ideas and solutions to targets surveillance problems.

Team Ownership and Philanthropy in Professional Sport: A Perspective on Organizational Generosity.

Corporate philanthropy (CP) is a vehicle for businesses to create a social impact in communities where their operations are located. An overlooked aspect of this phenomenon is the role and function played by CP influencers within firms-particularly organizational principals/owners. Using an upper echelons perspective, this study explores the relationship between team ownership and the level of CP in the professional sport context. To this end, longitudinal data of philanthropic giving of 94 U.S. professional sport teams in the NBA, NFL, MLB, and NHL were collected. We also collected team owner characteristics such as individual/family ownership, age, tenure as team owner, other charitable work, educational background, and connection to community from a variety of publicly available sources. The findings revealed that team owner age, ownership tenure, and previous philanthropic involvement contributed to increased charitable giving in professional sport team corporate foundations. Theoretical and practical implications of these findings are discussed in the paper.

Cost-effectiveness of brentuximab vedotin plus chemotherapy for previously untreated CD30-positive peripheral T-cell lymphoma in Canada.

AIMS: To support reimbursement requests in Canada, we evaluated the cost-effectiveness of brentuximab vedotin (Adcetris) in combination with cyclophosphamide, doxorubicin, and prednisone (A + CHP) compared with cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) as frontline treatment for CD30-expressing peripheral T-cell lymphomas (PTCLs) using results from the ECHELON-2 clinical trial. The PTCL subtypes included were systemic anaplastic large cell lymphoma (sALCL), PTCL-not otherwise specified (PTCL-NOS), and angioimmunoblastic T-cell lymphoma (AITL). MATERIALS AND METHODS: A partitioned survival model consisting of three health states (progression-free survival [PFS], post-progression survival [PPS], and death) was constructed from the perspective of the Canadian publicly funded healthcare system over a lifetime horizon. Efficacy, safety, and health-related quality-of-life (HRQoL) data were obtained from ECHELON-2. Medical resource use and costs were derived from Canadian literature and standard sources. Incremental cost-effectiveness ratios (ICERs) per life-years (LYs) and quality-adjusted life-years (QALYs) gained were calculated. Sensitivity analyses were performed to account for uncertainty in key parameters. All costs are reported in Canadian dollars. RESULTS: A + CHP, when compared with CHOP, was associated with an estimated mean gain of 2.90 LYs and 2.38 QALYs and a mean incremental cost of $76,491. The ICER for A + CHP compared with CHOP was estimated at $26,340 per LY gained and $32,177 per QALY gained. In sensitivity analyses, the ICERs remained below $60,000 per QALY gained. Time horizon, patient starting age, and discount rate affected the results, as the ICER was driven by long-term survival gains observed with A + CHP compared with CHOP. LIMITATIONS: Real-world downstream treatments (such as stem cell transplantation) may differ from the treatment protocol followed in the ECHELON-2 trial. CONCLUSIONS: A + CHP compared with CHOP provides a cost-effective treatment option with improved clinical outcomes that are clinically relevant and a comparable safety profile for adults with previously untreated CD30-expressing sALCL, PTCL-NOS, or AITL in Canada.

Waste converting through by-product synergy: an insight from three-echelon supply chain.

By-product synergy (BPS) is an innovative method to convert waste into valuable by-products effectively. Based on a three-echelon supply chain composed of an upstream manufacturer, a processing plant with limited processing capacity, and a downstream manufacturer, this study derives the production quantity and waste disposal decisions of the upstream and downstream manufacturers as well as the optimal transfer price decision of the processing plant. Moreover, we assess the environmental performance of BPS. Analytical results suggest that the upstream manufacturer's production quantity and waste disposal decisions and the processing plant's transfer price decision are threshold dependent on the processing plant's capacity, whereas the downstream manufacturer's production quantity decision is threshold dependent on the processing plant's capacity and price of raw materials. BPS is beneficial for all members of the supply chain to increase profit. The production promotion and cost-saving effects ensure that the supply chain members maximize their profit. However, BPS does not always have a positive effect on the environment; when the processing plant's capacity and price of raw materials are below the threshold, implementing BPS results in a win-win situation of economic and environmental benefits.

Input-decoupled discrete-time sliding mode control algorithm for servo multi-field multi-armature DC machine.

The multivariable modeling of a servo actuating system consisting of multi-field multi-armature direct current (MFMADC) machine is extracted and a novel discrete time nonlinear algorithm is proposed for the corresponding system. The proposed control algorithm demonstrates robustness against modeling uncertainty and by utilizing its novel mathematical structure, decouples the dynamical interactions of the connected motors. The main contribution of this paper is the proposition of a new decoupling control algorithm that in which, the driving (commanding) voltages of the connected driving motors are extracted separately and independently using the Lyapunov principle in discrete time. In fact, the obtained coupled stabilizing convex inequalities of the controlling voltages, resulting from the evaluation of the Lyapunov functions, are analytically decoupled using elementary matrix operations. Consequently, each motor now has the capability to perform its controlling task (position control or torque control) with asymptotic stability and robustness against uncertainty. To assess the performance of the proposed controlling algorithm and its verification, a MFMADC machine is attached to a harmonic drive reducer (HDR) whose flex spline and circular spline are fabricated using viscoelastic polyesters PLA and thermoplastic PLA, respectively. A number of experiments are conducted where in the first test, the MFMADC is controlled in only-position mode while in the second test, the MFMADC is controlled in simultaneous position-torque control mode. Comparative assessments confirm that the MFMADC technology is needed when a high precision tracking of position, under high frequency disturbances, is desired.

Multi-echelon agri-food supply chain network design integrating operational and strategic objectives: a case of public distribution system in India.

The global concern to ensure the availability of food for the growing world's population draws urgent attention towards the inefficiencies in agri-food supply chains. Agri-food supply chains are inherently complex to manage than other supply chains mainly because of their multi-echelon structure, deteriorating product quality with time and changes in storage conditions which leads to significant amount of food loss and wastage. Additionally, any natural or man-made disaster further disrupts the chain and leads to high food loss, high supply chain costs, reduced food availability and poor food quality. Hence, there is a need to design resilient and efficient agri-food supply chain network for optimal multi-echelon storage and distribution to reduce food loss and quality degradation. For this purpose, a Fuzzy Multi Objective Linear Program (FMOLP) is proposed in this paper for integrated food procurement, storage and distribution under cost, resilience and quality considerations. The proposed model integrates the short-term operational objective of cost optimization with the long-term sustainable objectives of food loss minimization and resilience maximization. The proposed FMOLP is illustrated using a realistic case of Public Distribution System using the data benchmarked with the numbers reported by the Food corporation of India. The detailed computational analysis carried out in the paper in investigates three categories of problem sizes to compare and contrast the decisions using different strategies and to provide organizational, operational and policy insights on the trade-off between cost, food loss and resilience.