Reengineering of interbank networks

We investigate the reengineeering of interbank networks with a specific focus on capital increase. We consider a scenario where all other components of the network’s infrastructure remain stable (a practical assumption for short-term situations). Our objective is to assess the impact of raising capital on the network’s robustness and to address the following key aspects. First, given a predefined target for network robustness, our aim is to achieve this goal optimally, minimizing the required capital increase. Second, in cases where a total capital increase has been determined, the central challenge lies in distributing this increase among the banks in a manner that maximizes the stability of the network. To tackle these challenges, we begin by developing a comprehensive theoretical framework. Subsequently, we formulate an optimization model for the network’s redesign. Finally, we apply this framework to practical examples, highlighting its applicability in real-world scenarios

COVID‑19, Race/Ethnicity, and Age: the Role of Telemedicine to Close the Gaps on Health Disparities

The novel COVID-19 outbreak is a major public health challenge that quickly turned into an economic recession of great proportions. This pandemic poses a trade-off between health and the economy where social distancing, quarantines, and isolation shut down demand and supply chains across the USA. This paper analyzes the impact of COVID-19 on illness and death among older adults and communities of color with low socioeconomic status in New York City. To achieve this goal, fractional logit models are used to capture changes in the novel virus’ morbidity and mortality rates at the neighborhood level. Median income, race/ethnicity, age, household crowding, and socially interactive employment explained the disproportionate exposure and fatalities across the city. We also employ a variable related to telehealth/telemedicine to sustain that technology goods along with government intervention as a provider of social goods can ameliorate existing health disparities. There is a need for evidence-based data on the economic costs and social benefits of COVID-19 relief programs

Designing difficult office space allocation problem instances with mathematical programming

Office space allocation (OSA) refers to the assignment of room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfying a set of additional constraints. In this paper, a mathematical programming approach is developed to model and generate test instances for this difficult and important combinatorial optimisation problem. Systematic experimentation is then carried out to study the difficulty of the generated test instances when the parameters for adjusting space misuse (overuse and underuse) and constraint violations are subject to variation. The results show that the difficulty of solving OSA problem instances can be greatly affected by the value of these parameters

A feasibility study of 1-h paclitaxel infusion in patients with solid tumors

The optimal schedule for paclitaxel administration has not yet been determined. This phase I/II study was carried out to evaluate the safety of paclitaxel administration by 1-h infusion in the outpatient setting. A total of 43 patients with advanced pretreated malignancies (18 breast, 18 ovarian, and 7 non-small-cell lung cancers) received at least 2 cycles of paclitaxel given at 175 mg/m2 in a single dose by 1-h i.v. infusion. This protocol was repeated every 21 days. All patients were premedicated as follows: promethazine given i.m. at 50 mg, dexamethasone given at 16 mg in 250 ml normal saline by i.v. infusion for 20 min and ranitidine given i.v. at 50 mg in 250 ml normal saline over 15 min, all premedication being carried out 1 h before the paclitaxel infusion. In a total of 156 cycles, only 1 patient presented with a hypersensitivity reaction (grade 2 urticaria in 1 cycle) and another patient developed transient facial flushing (in 1 cycle; this was resolved by slowing of the infusion rate) on this schedule of paclitaxel administration. Other adverse side effects were usually mild and well tolerated. Alopecia was universal; myelosuppression was uncommon because our patients were supported with granulocyte colony-stimulating factor (G-CSF, lenograstim) given at 34 IU/day in the presence of a neutrophil count of <500 μl; neutropenia was seen in 50/156 (32%) cycles and was mild. Neurotoxicity was the most serious adverse effect, and all patients experienced mild to severe neuromuscular toxicity, mainly in the form of peripheral sensorimotor neuropathy and myalgias. In conclusion, 1-h paclitaxel administration is safe and reduces the duration of treatment, making its use more convenient and easy in the outpatient setting. A prospective comparison of 1-h versus 3-h paclitaxel infusion in terms of efficacy and toxicity is the subject of our current randomized study