A Transportation Model For Demand Responsive Fleet Operation In A Manufacturing Firm

We study the problem of determining the number of vehicles needed to provide a demand responsive transit service with a predetermined quality for the user in terms of waiting time at the stops and maximum allowed detour. We propose a probabilistic model that requires only the knowledge of the distribution of the demand over the service area and the quality of the service in terms of time windows associated with pickup and delivery nodes. This methodology can be much more effective and straight forward compared to a simulation approach whenever detailed data on demand patterns are not available. Computational results under a fairly broad range of test problems show that the model can provide an estimation of the required size of the fleet in several different scenarios.

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On Scientific Value of russian Journals in Economics and related fields

Voprosy Ekonomiki ◽

10.32609/0042-8736-2013-4-130-151 ◽

2013 ◽

pp. 130-151 ◽

Cited By ~ 5

Author(s):

A. Muravyev

Keyword(s):

Reference Lists ◽

Citation Index ◽

Economic Science ◽

Detailed Data ◽

Academic Quality ◽

Russian Science ◽

Russian Science Citation Index ◽

Scientific Significance ◽

Scientific Value

In this paper we attempt to classify Russian journals in economics and related disciplines for their scientific significance. We show that currently used criteria, such as a journal’s presence in the Higher Attestation Committee’s list of journals and the Russian Science Citation Index (RSCI) impact factor, are not very useful for assessing the academic quality of journals. Based on detailed data, including complete reference lists for 2010—2011, we find significant differentiation of Russian journals, including among those located at the top of the RSCI list. We identify two groups of Russian journals, tentatively called category A and B journals, that can be regarded as the most important from the viewpoint of their contribution to the economic science.

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Faculty Opinions recommendation of Effect of 24-hour mandatory versus on-demand critical care specialist presence on quality of care and family and provider satisfaction in the intensive care unit of a teaching hospital.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1103924.561072 ◽

2008 ◽

Author(s):

Jim O'Brien

Keyword(s):

Intensive Care Unit ◽

Critical Care ◽

Intensive Care ◽

Quality Of Care ◽

Teaching Hospital ◽

Provider Satisfaction ◽

On Demand ◽

Care Specialist

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App review of anxiety and depression chatbots and their self-care features (Preprint)

10.2196/preprints.26334 ◽

2020 ◽

Author(s):

Arfan Ahmed ◽

Nashva ALi ◽

Sarah Aziz ◽

Alaa A Abd-Alrazaq ◽

Asmaa Hassan ◽

...

Keyword(s):

Mental Health ◽

Meta Analysis ◽

Self Care ◽

Anxiety And Depression ◽

Conversational Agents ◽

Eligibility Criteria ◽

On Demand ◽

User Ratings ◽

Google Play

BACKGROUND Anxiety and depression rates are at an all-time high along with other mental health disorders. Smartphone-based mental health chatbots or conversational agents can aid psychiatrists and replace some of the costly human based interaction and represent a unique opportunity to expand the availability and quality of mental health services and treatment. Regular up-to-date reviews will allow medics and individuals to recommend or use anxiety and depression related smartphone based chatbots with greater confidence. OBJECTIVE Assess the quality and characteristics of chatbots for anxiety and depression available on Android and iOS systems. METHODS A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbots for anxiety and depression. Eligibility of the chatbots was assessed by two individuals based on predefined eligibility criteria. Meta-data of the included chatbots and their characteristics were extracted from their description and upon installation by 2 reviewers. Finally, chatbots quality information was assessed by following the mHONcode principles. RESULTS Although around 1000 anxiety and depression related chatbots exist, only a few (n=11) contained actual chatbots that could provide the user a real substitute for a human-human based interaction, even with today's Artificial Intelligence advancements, only one of these chatbots had voice as an input/output modality. Of the selected apps that contained chatbots all were clearly built with a therapeutic human substitute goal in mind. The majority had high user ratings and downloads highlighting the popularity of such chatbots and their promising future within the realm of anxiety and depression. CONCLUSIONS Anxiety and depression chatbot apps have the potential to increase the capacity of mental health self-care providing much needed assistance to professionals. In the current covid-19 pandemic, chatbots can also serve as a conversational companion with the potential of combating loneliness, especially in lockdowns where there is a lack of social interaction. Due to the ubiquitous nature of chatbots users can access them on-demand at the touch of a screen on ones’ smartphone. Self-care interventions are known to be effective and exist in various forms and some can be made available as chatbot features, such as assessment, mood tracking, medicine tracking, or simply providing conversation in times of loneliness.

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A Multi-objective Evolutionary Algorithm based on R2 Indicator for Pickup and Delivery Problem with Time Windows

2020 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci47803.2020.9308564 ◽

2020 ◽

Author(s):

Li Li ◽

Avimanyu Sahoo ◽

Liang Chang

Keyword(s):

Evolutionary Algorithm ◽

Time Windows ◽

Pickup And Delivery ◽

Delivery Problem ◽

Multi Objective ◽

Pickup And Delivery Problem ◽

R2 Indicator

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A Heuristics-Based Parthenogenetic Algorithm for the VRP with Potential Demands and Time Windows

Scientific Programming ◽

10.1155/2016/8461857 ◽

2016 ◽

Vol 2016 ◽

pp. 1-12

Author(s):

Chenghua Shi ◽

Tonglei Li ◽

Yu Bai ◽

Fei Zhao

Keyword(s):

Genetic Algorithm ◽

Time Windows ◽

Computation Time ◽

Routing Problem ◽

Split Delivery ◽

Soft Time Windows ◽

Comparison Results ◽

Potential Demand ◽

The Cost

We present the vehicle routing problem with potential demands and time windows (VRP-PDTW), which is a variation of the classical VRP. A homogenous fleet of vehicles originated in a central depot serves customers with soft time windows and deliveries from/to their locations, and split delivery is considered. Also, besides the initial demand in the order contract, the potential demand caused by conformity consuming behavior is also integrated and modeled in our problem. The objective of minimizing the cost traveled by the vehicles and penalized cost due to violating time windows is then constructed. We propose a heuristics-based parthenogenetic algorithm (HPGA) for successfully solving optimal solutions to the problem, in which heuristics is introduced to generate the initial solution. Computational experiments are reported for instances and the proposed algorithm is compared with genetic algorithm (GA) and heuristics-based genetic algorithm (HGA) from the literature. The comparison results show that our algorithm is quite competitive by considering the quality of solutions and computation time.

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The impact of a pandemic on the development of logistics: EU experience and problems in Ukraine

Problems of Innovation and Investment Development ◽

10.33813/2224-1213.25.2021.10 ◽

2021 ◽

pp. 90-100

Author(s):

Olena Kuzmenko ◽

Valentyn Kuzmenko ◽

Viktoriya Kukhtina

Keyword(s):

International Business ◽

Material Resources ◽

On Demand ◽

Analysis And Synthesis ◽

Logistics Market ◽

General Scientific ◽

The Impact ◽

Final Consumer ◽

The Eu

An important aspect of any industry is the rapid and effective adaptation to changing conditions. The logistics market during the pandemic and related constraints has changed significantly, and competition in this segment has become higher than ever. Many consumers are forced to reduce consumption, companies have reduced supplies and production, diversified their activities. The transportation market has become denser and the struggle for the customer has intensified. Optimization of financial, labor, and material resources through the reduction of activities can negatively affect the quality of logistics services, the speed of processing goods, and their delivery to the final consumer. Based on the relevance, the aim of the research is to study the impact of the COVID-19 pandemic on logistics, assess the results of such impacts in the EU, as well as outline trends and prospects for the logistics market in terms of declining coronavirus and market recovery. The research methodology is based on the use of general scientific and specific methods, in particular: analysis and synthesis, induction and deduction, systematization, generalization. The scientific novelty of the study is that the changes that have taken place in logistics have led to the emergence of new trends and trends that need to be generalized and evaluated in terms of prospects for impact on the industry. The study summarized the conclusion that the coronavirus pandemic created opportunities for some companies and threats for others. As a result of the constraints and challenges that have become inherent in international business and logistics, e-commerce, on-demand delivery, and the concept of “last kilometers” are developing rapidly in the EU and Ukraine. The logistics market has a tendency to consolidate and diversify. At the same time, once the European economy returns to normal, most of the changes that have taken place in logistics will be irreversible. Keywords: logistics, pandemic consequences, trade, supply chain, transport

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Etiology and predictors of cluster attacks of hereditary angioedema that recur despite pharmaceutical treatment

Allergy and Asthma Proceedings ◽

10.2500/aap.2021.42.210015 ◽

2021 ◽

Vol 42 (4) ◽

pp. 317-324

Author(s):

Felix. A. Johnson ◽

Magdalena Wirth ◽

Zhaojun Zhu ◽

Janina Hahn ◽

Jens Greve ◽

...

Keyword(s):

Hereditary Angioedema ◽

Upper Airway ◽

Poor Quality ◽

Prophylactic Therapy ◽

On Demand ◽

C1 Esterase Inhibitor ◽

Physical Stimuli ◽

Inhibitor Treatment ◽

Esterase Inhibitor

Introduction: Hereditary angioedema (HAE) is a disease that leads to recurrent swelling of the skin and mucous membranes, including the upper airway tract. Apart from being deadly, these attacks can be debilitating, which leads to a poor quality of life in patients. Clinicians are occasionally confronted with patients who have recurrent attacks despite treatment with C1 esterase inhibitor concentrate or β2-receptor antagonists. The goal of this study was to investigate repeated attacks that occur 48 hours to 7 days (“cluster attacks”) after treatment, to determine why they occur and the factors that may be associated with them, and thus to prevent their occurrence. Methods: We conducted a multicenter mixed retrospective-prospective study with data acquired from all documented attacks in our patients with collective (n = 132) between 2015 and 2018. Results: Eighty-five percent (n = 132) of our total patient collective (N = 156) agreed to participate in the study. Nine percent of these patients (n = 12) had cluster attacks, with a total of 48 cluster attacks. The data procured from the patients were mixed retrospective‐prospective. Approximately 72% of all the cluster attacks were caused by exogenous stimuli (41% due to psychological stress, 29% due to physical stimuli, and 2% due to menstruation). Cluster attacks occurred in 7% of the patients who received prophylactic therapy in comparison with 12.5% of patients who received on-demand therapy. Cluster attacks comprised 48.4% of all the attacks that patients with cluster-attacks (n= 9) experienced. In addition, the patients who were underdosing their C1 esterase inhibitor treatment had cluster attacks more often. A lower “time to repeated attack” was seen in the patients who received on-demand therapy compared with those who received prophylactic therapy. Discussion: The percentage of the patients who had attacks as a result of exogenous triggers was higher in the cluster-attack group (70.5%) compared with the general HAE population (30‐42%). Repeated attacks, therefore, were strongly associated with external triggers. The patients who received prophylactic treatment and who experienced cluster attacks were highly likely to have been underdosing, which may explain the repeated attacks despite treatment. In the patients prone to cluster attacks, prophylaxis should be considered.

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