Interruption Of Supply Research Articles

Light‐Promoted Extraction of Precious Metals Using a Porphyrin‐Integrated One‐Dimensional Covalent Organic Framework

AbstractPrecious metals are valuable materials for the chemical industry, but they are scarce and pose a risk of supply disruption. Recycling precious metals from waste is a promising strategy, here we tactfully utilize light irradiation as an environmental‐friendly and energy‐saving adjunctive strategy to promote the reduction of precious metal ions, thereby improving the adsorption capacity and kinetics. A newly light‐sensitive covalent organic framework (PP‐COF) was synthesized to illustrate the effectiveness and feasibility of this light auxiliary strategy. The equilibrium adsorption capacities of PP‐COF with light irradiation towards gold, platinum, and silver ions are 4729, 573, and 519 mg g−1, which are 3.3, 1.9, and 1.2 times the adsorption capacities under dark condition. Significantly, a filtration column with PP‐COF can recover more than 99.8 % of the gold ions in the simulated e‐waste leachates with light irradiation, and 1 gram of PP‐COF can recover gold from up to 0.15 tonne of e‐waste leachates. Interestingly, the captured precious metals by PP‐COF with light irradiation mainly exist in the micron‐sized particles, which can be easily separated by extraction. We believe this work can contribute to precious metal recovery and circular economy for recycling resources.

EXPRESS: Balancing Resilience and Efficiency: A Literature Review on Overcoming Supply Chain Disruptions

The supply chain risk management literature differentiates between disruption risk that arises from supply disruptions to normal activities and recurrent risk that arises from problems in coordinating supply and demand in the absence of disruptions (Kleindorfer and Saad 2005). Over the past decades, significant research has been carried out to better understand supply chain resilience, i.e., the ability of a supply chain to mitigate disruptions. Supply chain efficiency, i.e., the ability to mitigate recurrent risks in the absence of disruptions has been studied even longer. But only recently have the topics of efficiency and resilience been coupled in the supply chain literature. In this literature review, we focus on the intersection of supply chain resilience and supply chain efficiency. We provide a thematic overview of literature streams according to the structure of the underlying supply chains. We identify various gaps in the current literature including areas in multi-echelon and multi-product supply chain research. Furthermore, we consider dual-purpose and dedicated levers for building resilience. Dual-purpose levers are resources that are able to promote efficiency in a supply chain while enhancing resilience in expectation. By contrast, dedicated resilience levers are resources that are able to guarantee the resilience of a supply chain in the face of particular disruptions without benefiting the supply chain in the absence of disruptions. We call for more research to better understand the value of dual-purpose and dedicated resilience levers to overall supply chain performance.

Light-Promoted Extraction of Precious Metals Using a Porphyrin-Integrated One-Dimensional Covalent Organic Framework.

Precious metals are valuable materials for the chemical industry, but they are scarce and pose a risk of supply disruption. Recycling precious metals from waste is a promising strategy, here we tactfully utilize light irradiation as an environmental-friendly and energy-saving adjunctive strategy to promote the reduction of precious metal ions, thereby improving the adsorption capacity and kinetics. A newly light-sensitive covalent organic framework (PP-COF) was synthesized to illustrate the effectiveness and feasibility of this light auxiliary strategy. The equilibrium adsorption capacities of PP-COF with light irradiation towards gold, platinum, and silver ions are 4729, 573, and 519 mg g-1, which are 3.3, 1.9, and 1.2 times the adsorption capacities under dark condition. Significantly, a filtration column with PP-COF can recover more than 99.8 % of the gold ions in the simulated e-waste leachates with light irradiation, and 1 gram of PP-COF can recover gold from up to 0.15 tonne of e-waste leachates. Interestingly, the captured precious metals by PP-COF with light irradiation mainly exist in the micron-sized particles, which can be easily separated by extraction. We believe this work can contribute to precious metal recovery and circular economy for recycling resources.

The Relationship Between Type 2 Diabetes Mellitus and The Incidence of Acute Ischemic Stroke

Background: Ischemic stroke is a cerebrovascular disease characterized by focal or global neurological deficits with clinical signs lasting 24 hours or more caused by disruption of blood supply to the brain. Stroke is the second leading cause of death in the world with 6.7 million deaths every year. The prevalence of stroke in Indonesia according to Riskesdas in 2018 reached 10.9%, namely around 2,120,362 people in Indonesia. Type 2 diabetes mellitus is a major risk factor for ischemic stroke. Data from the International Diabetes Federation (IDF) shows that in 2021 there will be 537 million cases of DM in adults aged 20-79 years, with an estimated increase to 643 million in 2030. With the estimated number of sufferers of type 2 diabetes mellitus continuing to increase, it can be concluded that ischemic stroke sufferers also continue to increase. Methods: Observational analytic with cross-sectional design. Sampling was taken from medical record data at the Regional General Hospital. Dr. Chasbullah Abdulmadjid Bekasi City with a total of 87 patients who met the inclusion criteria Results: The results of research conducted using Chi-Square Analysis showed that there was no significant relationship between type 2 diabetes mellitus and acute ischemic stroke with a P value of 0.698. The results of the Pearson Chi-Square analysis and Fisher exact test accepted H0 and rejected H1 (there was no relationship). Conclusions: There is no significant relationship between type 2 diabetes mellitus and the incidence of acute ischemic stroke Keywords: Type 2 diabetes mellitus, Ischemic, Stroke

A Mobile Craniofacial Surgery Unit: Reconstructing Casualties of War in Ukraine.

This paper describes the development and implementation of a mobile craniofacial surgical unit designed to address complex posttraumatic craniofacial deformities in both civilian and military casualties resulting from Russia's invasion of Ukraine. Restricted air space, limited possibilities for transportation of personnel and equipment, frequent interruption of power and water supply, and constant threat of injury to patients and medical personnel from missile and drone strikes, precludes reliable and safe delivery of tertiary care. The Canada Ukraine Surgical Aid Program (CUSAP) addressed these challenges by establishing a mobile craniofacial surgery unit, operating just outside of the war zone. The following report characterizes the civilian and military casualties, highlights the barriers to the provision of adequate tertiary care locally, and provides a detailed description of the measures that were taken to organize the mobile unit. The effectiveness of this program is documented, and specific challenges are illustrated through case examples. We believe this model serves as a template for delivering surgical aid to victims of any global disaster where care cannot be provided locally.

Water Supply Pipeline Failure Evaluation Model Based on Particle Swarm Optimization Neural Network

The degradation and failure of the urban water supply network may lead to serious safety hazards, including pipe breaks, water supply interruptions, water resource losses, and contaminant intrusions. The risk evaluation of water supply pipeline failure in a distribution network is a challenging task, because most of the available data cannot fully reflect pipeline failure events and many of the mechanisms still cannot be fully understood. Therefore, a predictive model is urgently needed to assess pipeline failure risk based on available data. In this paper, based on the traditional risk assessment theory, seven main factors affecting pipeline failure are selected and scored, and then a pipeline failure model is established by using the particle swarm optimization (PSO) neural network. The model uses the neural network training of historical data to evaluate the failure of the water supply pipeline, and the PSO is used to optimize the neural network to effectively improve the training time and accuracy. The model error and correlation coefficient are 0.003 and 0.987, respectively. The proposed model can be used as a powerful support tool to assist infrastructure managers and pipeline maintainers in their plans and decision-making.

Supply network stress-testing of food security on the establishment-level

Recent events exemplified the fragility of national and international supply networks (SNs), leading to significant supply shortages of essential goods, such as food and medicines. Severe disruptions propagating along complex SNs can expose entire regions or countries to these risks. A lack of data and quantitative methodology has hitherto prevented an empirical quantification of the vulnerabilities of populations created by SN disruptions. Here, we propose supply network stress-testing (SNST) as a new data-driven methodology to quantify product-level supply losses of administrative districts that result from cascading supply disruptions between establishments. We demonstrate SNST on a large fraction of the Austrian food SN – composed of the pork production network from farms to meat processors and the distribution network of large food retailers – containing 23,001 establishments, 44,730 supply links, and 116 administrative districts. We rank all establishments with respect to their systemic criticality for the population using a novel systemic risk index, ESR I i crit . We identify 28 facilities that – in case of failure – are expected to cause severe supply shortages to up to 20% of the population. SNST enables governments and industry to stress-test national supply networks of critical goods, to identify their weak spots and make them more resilient to future crises.

Unwrapping the Intricate Interplay Between Energy Dependency and Macroeconomic Volatility in OECD Countries

While research has explored the connection between oil prices and macroeconomic performance, there is limited understanding of the interaction between overseas energy imports dependency and macroeconomic fluctuations. This work addresses the foregoing study using the augmented mean group (AMG) econometrics technique on panel data of 29 OECD net energy‐importing countries from 2001 to 2021. The long‐run finding unearthed that energy dependency intensifies macroeconomic instability, confirming that relying on overseas energy imports will hamper the smooth functioning of domestic economic machinery in the form of energy supply interruption. Besides energy dependency, this study uses government consumption spending, regulatory quality, and globalisation as control variables in macroeconomic instability function. The long‐run outcomes further depict that government consumption spending and globalisation aggravate macroeconomic instability while regulatory quality reduces it. These findings are further checked by applying the pooled mean group‐autoregressive distributed lag (PMG‐ARDL) method. In conclusion, this study provides policy implications to prioritise domestically produced energy use and diversify energy sources by increasing the share of clean energy in the total energy mix.

Assessing rainwater harvesting scenarios to mitigate potable water storage needs in Algerian individual houses under intermittent supply.

Urban areas in Algeria are increasingly suffering from water scarcity due to climate change and rapid urbanization, prompting the government to introduce an intermittent water supply system. This situation requires households to store potable water during supply interruptions. This study investigates the potential of rainwater harvesting (RWH) to reduce the need for such storage in single-family homes in the municipality of Beni-Mared (north of Algeria). Through five simulated scenarios: "Current" which represents the existing situation without RWH; "Maximum" in which all available rainwater is captured; "Switch" in which the existing potable water storage tanks are used for rainwater; "Optimal" in which the size of the storage tanks and efficiency are balanced; and "Outdoor" in which the focus is on rainwater for external purposes such as watering. The results show that the "Maximum" scenario has the greatest potential, as it reduces the need for potable water storage by up to 84.5%, although it requires large and potentially expensive tanks. The "Optimal" scenario offered a practical solution in which a 2.7 m³ tank covers up to 33% of the storage. The "Switch" scenario, where existing tanks were repurposed, reduced storage requirements by 15.07%, while the "Outdoor" scenario, designed for external uses, achieved a more modest reduction of 5.85% to 6.71%. These results demonstrate the importance of implementing an adapted RWH approach supported by a comprehensive development strategy, community involvement and financial support to effectively address water scarcity in Algeria.

Development of a framework for assessing climate risk in water supply and its computation for the Districts of Maharashtra, India

ABSTRACT The paper discusses the development of a composite index for assessing the risks faced by rural communities because of disruptions in water supply caused by natural hazards such as droughts, floods, and landslides. The various parameters considered for developing the three dimensions of the risk index, namely, hazard, exposure, and vulnerability, the rationale for choosing those parameters, and the manner in which these parameters influence them are discussed. The index uses 29 variables: 5 for hazard, 15 for exposure, and the remaining 9 for vulnerability. The variables are natural, physical, socioeconomic, and institutional or policy-related. The quantitative criteria for assigning values for various parameters and the analytical procedure for computing the sub-indices and the final risk index are also discussed. The paper also presents the results of a mapping of climate-induced risk to water supply in 35 districts of the state of Maharashtra in western India, done using district level data on the various parameters concerned, and identifying the district where water supply systems are highly prone to climate-induced risks.

Estimating the dynamic economic impacts of oil supply disruptions on China: A case study of Malacca Strait block

The intensification of geopolitical conflicts necessitates formulating economically effective coping strategies, which requires scientifically understanding the economic losses caused by oil supply disruptions and their evolutionary patterns. However, current assessment results are mostly static and cover direct losses, which are inadequate to fully support the development of disaster prevention measures. Therefore, considering the interdependence across different sectors, we employed a Dynamic Inoperability Input-Output Model to assess the economic impacts of a 20% disruption in oil imports through the Malacca Strait, lasting for 90 days. The main findings are as follows: (1) 2% of a sector's inoperability caused by oil supply disruption will, on average, be transmitted to other sectors due to their interdependencies. (2) The disruption will result in total economic losses of 62.7 billion yuan for China, and 70% of the total economic losses were incurred within the first 30 days. (3) To cope with the adverse economic impacts of oil transport disruption in the Malacca Strait, the optimal range of China's strategic petroleum reserve is 47.91–169.55 million barrels.

STRATEGY OF SUSTAINABLE BUSINESS DEVELOPMENT BASED ON COMMUNITY (STUDY OF TODAY'S MODERN COFFEE SHOP BUSINESS ACTORS)

This study explores the sustainable community-based business approach adopted by modern coffee shops in Kendari City to boost community participation and foster customer loyalty. Through qualitative research, including case studies and in-depth interviews with business owners, employees, and community members, the findings indicate that involving the community in innovation and business adaptation strengthens customer relationships and enhances business sustainability. By engaging the community, coffee shops are able to create a sense of ownership, resulting in higher customer retention and greater brand loyalty. The approach also proves effective in addressing operational challenges such as fluctuating demand and supply disruptions by leveraging community-driven solutions. Furthermore, the adoption of sustainable practices, such as sourcing local ingredients, minimizing waste, and utilizing eco-friendly packaging, increases operational resilience and attracts environmentally conscious customers. This business model aligns with local policies promoting the sustainability of MSMEs and offers a replicable framework for other small businesses in similar contexts. Ultimately, the combination of community engagement and sustainable practices not only generates economic benefits but also builds social capital, ensuring long-term business resilience and contributing to local economic growth.

An ensemble convolutional neural network model for brain stroke prediction using brain computed tomography images

A stroke is a potentially fatal brain attack that causes an interruption in the blood supply to the brain. As a result, brain cells start to die due to a lack of oxygen and nutrients. After a stroke, every minute is critical. A million or more brain cells perish every minute during a stroke. The prompt identification of a stroke can prevent lasting brain damage or even save the patient’s life. Doctors advise computed tomography (CT) images of the brain for earlier stroke detection. If doctors delay CT diagnosis or may make erroneous diagnoses, this can be life-threatening. For that reason, an automatic diagnosis of stroke from a brain CT scan image will be beneficial for stroke patients. This study moderates three pre-trained convolutional neural network (CNN) models named Inceptionv3, MobileNetv2, and Xception by updating the top layer of those models using the transfer-learning technique based on CT images of the brain. A new ensemble convolutional neural network (ENSNET) model is proposed for automatic brain stroke prediction from brain CT scan images. ENSNET is the average of two improved CNN models named InceptionV3 and Xception. We have relied on the following metrics: accuracy, precision, recall, f1-score, confusion matrix, accuracy versus epoch, loss versus epoch, and the receiver operating characteristic (ROC) curve to assess performance matrices. The accuracy of the moderated Inceptionv3 is 97.48%, the moderated MobileNetv2 is 83.29%, and the moderated Xception is 96.11%. Nonetheless, the suggested ensemble model ENSNET performs better than the other models when it comes to the diagnosis of stroke from brain CT scans, providing 98.86% accuracy, 97.71% precision, 98.46% recall, 98.08% f1-score, and 98.74% area under the ROC curve(AUC). Therefore, the proposed model ENSNET can detect strokes from computed tomography images of the brain more successfully than other models.

Bone Graft and Fixation Options in the Surgical Management of Scaphoid Nonunion.

Scaphoid nonunions are a complex challenge that are frequently encountered by hand surgeons. Because of the tenuous blood supply of the scaphoid and secondary deformities that occur as a result of delayed or unsuccessful treatment, the treatment of scaphoid nonunions frequently requires the use of internal fixation and supplemental bone graft. There are multiple bone graft sources and techniques that can be employed based on the patient, the viability of the proximal pole fragment, and the presence of a deformity. Without osteonecrosis or disruption of the scaphoid blood supply, nonvascularized autologous grafts can be used from the distal radius, proximal ulna, or iliac crest. In cases where there is concern for an insufficient blood supply, vascularized bone graft sources can be employed, including pedicled local grafts and free flap grafts. When there is a nonviable and fragmented proximal pole, using osteochondral autografts has become increasingly used to reconstruct the scaphoid. Bone graft substitutes can additionally be used to supplement the fixation construct. This review focuses on the indications and role of bone grafts in scaphoid nonunions to help augment internal fixation, promote healing, and restore carpal alignment.

Resilience‐oriented load restoration method for power‐gas‐water systems considering public safety impact

AbstractFocusing solely on enhancing the resilience of power systems at a systemic level would lead to a significant underestimation of the actual impact of extreme disasters. Equally vital is the assurance of livelihood security amidst such extreme conditions, which is crucial for the development of a truly resilient power system. Hence, this paper attempts to incorporate quantifiable metrics assessing public safety impacts into resilience enhancement works, thereby guiding the precise allocation of funds. Considering that the residents' intuitive feelings are the most direct reflection of the severity of the disaster, this paper employs the modified prospect theory to formulate functions representing residents' psychological risk perception and risk‐taking willingness to tolerate risks during disruptions in power, gas, and water supplies. Meanwhile, in order to accurately calculate the energy loss duration for each residential customer, a resilience enhancement method for post‐disaster collaborative dispatch of electricity‐gas‐water systems is proposed. With the objective of minimizing the public safety and economic impact of disasters, the optimal multi‐source collaborative emergency restoration strategy is developed. The significant necessity and efficiency of the proposed strategy are verified with exhaustive case studies. Numerical results evince the resilience enhancement by considering the livelihood security in the post‐disaster restoration stage.

Methodology for assessing the technical condition of electrical networks based on determining the probability of their failure

RELEVANCE. The current technical condition of electrical networks at the moment is generally unsatisfactory with an average level of physical wear of about 60-70 %, therefore,the development of fundamentally new methods for assessing their technical condition is currently an urgent task. The methods of assessing the technical condition of electrical networks analyzed in the article are based to a greater extent on the subjective and insufficiently accurate method of expert assessments, which actually does not take into account the data of its technical diagnostics, as well as statistics of defects and failures. OBJECT. To develop a methodology for assessing the technical condition of electrical networks, which would be based on probabilistic models characterizing the physical processes occurring in electrical networks, as well as data from their technical diagnostics, statistics of defects and failures. METHODS. To assess the technical condition of electrical networks, a probabilistic assessment method was used. In this case, the methodology involves sequential determination of the probabilities of occurrence of selected groups of emergency modes, the probability of failure of a network element as a whole, as well as the probability of failure of an object and a group of objects of the power grid. RESULTS. Based on the research results, probabilistic models of failure of electrical networks were obtained, which, unlike the assessment methods discussed in the article, are based on data from technical diagnostics and inspections of electrical equipment. An example of the implementation of the developed methodology on real electrical network objects is given. CONCLUSION. The developed methodology allows for a more reasonable prioritization of technical impacts on electrical grid equipment, which will make it possible to replace or repair equipment that has actually exhausted its physical resource, which will reduce the frequency of emergency conditions and reduce damage from power supply interruptions.

Strategic Innovations in Apple's Supply Chain Management: Objectives, Methods, and Strategies for Navigating Global Market Challenges

This study looks at global supply chain risks and remedies in the context of Apple Inc.'s supply chain, which is renowned for being efficient and complicated. Apple's supply chain management strategy (SCM) optimizes costs and efficiency by integrating the planning and control of manufacturing, distribution, and sales. Efficient worldwide product delivery and very high operational standards are guaranteed by centralized strategic decision-making and collaboration with key suppliers like Foxconn. The report emphasizes how Apple uses cutting-edge logistics technology to reduce risks like supply interruptions and geopolitical unrest, which are becoming more common in today's international marketplace. Additionally, the study holds that in order to gain a long-term market competitiveness and manage a more uncertain external environment, today's smart device and electronic equipment manufacturers represented by Apple need to embrace the wave of digital transformation and increase resilience through strategic innovation and the construction of ethical and sustainable supply chains. This entails building morally and environmentally sound supply networks as well as implementing strategic innovations that increase supply chain resilience. Businesses that use this approach not only mitigate short-term risks but also establish a strong basis for sustained prosperity, guaranteeing their ability to adjust and prosper in the dynamic international arena.

Enhancing Ischemic Stroke Evaluation by a Model-Based Photoacoustic Tomography Algorithm.

Ischemic stroke (IS) is characterized by the sudden interruption of blood supply to the brain, resulting in neurological impairments and even mortality. Photoacoustic computed tomography (PACT) integrates the high contrast of optical imaging and the penetration of ultrasound imaging, enabling non-invasive IS evaluation. However, the image reconstruction quality significantly affects the oxyhemoglobin saturation (sO2) estimation. This study investigates a model-based with total variation minimized by augmented Lagrangian and alternating direction (MB-TVAL3) approach and compared it with the widely used back-projection (BP) and delay-and-sum (DAS) algorithms. Both simulations and invivo experiments are conducted to validate the performance of the MB-TVAL3 algorithm, showing a higher sO2 estimation accuracy and sensitivity in detecting infarct area compared to BP and DAS. The findings of this study emphasize the impact of acoustic inverse problem on the accuracy of sO2 estimation and the proposed approach offers valuable support for IS evaluation and cerebrovascular diagnosis.

Cross-border supply chain coordination of low-carbon agricultural products under the risk of supply uncertainty.

The purpose of this paper is to discuss how cross-border e-commerce enterprises can promote the sustainable development of the supply chain by optimizing the risk of supply disruption and product quality control mechanism of the cross-border supply chain of low-carbon agricultural products in the face of the problem of uneven quality and inventory shortage that prevails in the supply chain of low-carbon agricultural products under the framework of low-carbon economy. Methods: A two-level supply chain model consisting of a risk-averse cross-border e-commerce enterprise and two risk-neutral overseas suppliers is constructed to compare the optimal strategies and their coordination effects under the centralized and decentralized decision-making modes, and to deeply analyze the supply chain's operation mechanism. Further, the quality cost factor is introduced and an option contract model is designed to quantitatively analyze the impact of different decision-making scenarios and parameter changes on the overall supply chain performance. The results of the study show that under the coordination of option contract, the profit of cross-border e-commerce companies tends to decrease as the risk of supply disruption increases, while the profit of suppliers rises accordingly. Meanwhile, improving the quality of agricultural products can significantly improve the overall profitability of the supply chain. The cost-sharing mechanism is positively related to the profit of cross-border e-commerce companies, but negatively affects the profit of suppliers. In addition, the adjustment of the option price is directly associated with the increase of the specific supplier's profit and the decrease of the cross-border e-commerce enterprise's profit. Conclusion: By constructing and analyzing the option contract model considering the risk of supply disruption, this study effectively reveals the key influencing factors and their interactions in the cross-border supply chain of low-carbon agricultural products, and provides cross-border e-commerce enterprises with specific strategies to achieve coordination of the supply chain contract, improve product quality, and mitigate the risk of supply disruption, and then promote the sustainable development of the supply chain of low-carbon agricultural products.

Friendshoring: how geopolitical tensions affect foreign sourcing, supply base complexity, and sub-tier supplier sharing

PurposeThis paper examines the influence of geopolitical tensions—operationalized as political divergence between governments—on firms’ foreign supply bases and the resulting effects on supply base complexity and sub-tier supplier sharing.Design/methodology/approachThe authors conduct panel data regression analyses over the period 2003–2019 to investigate whether political divergence affects foreign supply bases for 2,858 US firms sourcing from 99 countries and to examine how political divergence exposure impacts the supply network structures of 853 US firms.FindingsFirms reduce their supply bases in countries exposed to heightened geopolitical tensions. These supply chain adjustments are associated with increased supply base complexity and greater sub-tier supplier sharing.Originality/valueThis study highlights the importance of state relations in global supply chain reconfiguration. Political divergence between governments provides a dual-view of political risk (i.e. buyer–supplier countries), which can help firms anticipate geopolitical disruptions. While reducing supply bases in foreign countries facing heightened geopolitical tensions is intended to mitigate disruptions, these supply base adjustments are linked to increased supply base complexity and sub-tier supplier sharing, thereby exposing firms to other types of supply disruptions. Additionally, this research contributes to understanding the effects of geopolitical tensions on supply base complexity through the lenses of transaction cost economics and resource dependence theory.