Zeitschriftenartikel: „Impact and priority“

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Brown, S. W. "Impact on Priority Setting." Epilepsia 38 (November 1997): S70—S71. http://dx.doi.org/10.1111/j.1528-1157.1997.tb06134.x.

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Lester, C. "Priority setting with Health Inequality Impact Assessment." Public Health 115, no. 4 (2001): 272–76. http://dx.doi.org/10.1016/s0033-3506(01)00458-9.

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3

A, Zapata Flórez. "Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence." Philosophy International Journal 5, no. 4 (2022): 1–10. http://dx.doi.org/10.23880/phij-16000269.

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The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligence to surpass the human being, with which the advancement of AI represents ethical risks in the future. In reality, such a belief hides a cognitive assumption, which assumes that computational engineering explains human intelligence through the mind-computer metaphor. According to this assumption, technology explains cognition, and philosophy, through ethics, reflects on the impact of said technology. However, in this article, I contradict such an assumption and defend that the philosophy in AI is not reduced to the ethics that is present after the use and impact of AI in the world. I intend to expose that a good ethics of AI is the one that reflects on the appropriate risks facing AI, and for this, philosophy, beforehand, must make a cognitive analysis about the possibilities that computing has to create intelligent machines, namely, whether or not the mindcomputer metaphor makes sense. My thesis consists in defending that the philosophical analysis about AI must be carried out both on a cognitive level and on an ethical level, but that the philosophical priority in the cognitive analysis over the ethical priority, since the ethical risks of AI depend of the possibilities of technology, and only the cognitive approach can account for this.

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Furth, Peter G., and Theo H. J. Muller. "Conditional Bus Priority at Signalized Intersections: Better Service with Less Traffic Disruption." Transportation Research Record: Journal of the Transportation Research Board 1731, no. 1 (2000): 23–30. http://dx.doi.org/10.3141/1731-04.

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Conditional priority for buses at signalized intersections means that late buses are given priority and early buses are not. This scheme is a method of operational control that improves service quality by keeping buses on schedule. A conditional bus priority implementation in Eindhoven, the Netherlands, is described. Results show the strong improvement in schedule adherence compared with a no-priority situation. Traffic impacts at an intersection were studied for three scenarios—no priority, absolute priority, and conditional priority. Compared with no priority, absolute priority increased delays significantly while conditional priority had almost no impact.

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Mitchell, Janet B., and Fred Bentley. "Impact of Oregon’s Priority List on Medicaid Beneficiaries." Medical Care Research and Review 57, no. 2 (2000): 216–34. http://dx.doi.org/10.1177/107755870005700205.

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Howard, Patricia Kunz. "Making an Impact: Injury Prevention is a Priority." Journal of Emergency Nursing 45, no. 3 (2019): 237–38. http://dx.doi.org/10.1016/j.jen.2019.03.002.

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Adnan, A. Z., M. E. Yusoff, and H. Hashim. "Analysis on the Impact of Renewable Energy to Power System Fault Level." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 652. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp652-657.

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Distributed Generation is generation of electricity from renewable energy resources, located closer to the customers or loads. Installation of Distributed Generation could improve voltage and power quality, mitigate voltage sags, minimize transmission system congestion, and provide more affordable capacity for utilizing renewable energy resources. However, high penetration of Distributed Generation to the existing national grid system may contribute several impacts including fault level, as well as the performance of power system protection. Monitoring of fault level is important in power system protection in order to sustain the health of power system networks. This paper investigates the impact of installing Distributed Generation to power system fault level. Three-phase symmetrical fault is simulated and analyzed for various sizes of distributed generation in IEEE 30 bus system using Power System Simulation for Engineering (PSS/E) software.<p class="MsoNormal" style="text-align: justify; text-indent: .5in;"><em><span style="font-size: 9.0pt; font-family: 'Arial','sans-serif'; color: black;">Distributed Generation is generation of electricity from renewable energy resources, located closer to the customers or loads. Installation of Distributed Generation could improve voltage and power quality, mitigate voltage sags, minimize transmission system congestion, and provide more affordable capacity for utilizing renewable energy resources. However, high penetration of Distributed Generation to the existing national grid system may contribute several impacts including fault level, as well as the performance of power system protection. Monitoring of fault level is important in power system protection in order to sustain the health of power system networks. This paper investigates the impact of installing Distributed Generation to power system fault level. Three-phase symmetrical fault is simulated and analyzed for various sizes of distributed generation in IEEE 30 bus system using Power System Simulation for Engineering (PSS/E) software.</span></em></p>

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Gupta, Chetna, and Varun Gupta. "Software Change Impact Analysis." International Journal of Systems and Service-Oriented Engineering 5, no. 2 (2015): 44–55. http://dx.doi.org/10.4018/ijssoe.2015040103.

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This paper presents an approach to prioritize program segments within the impact set computed using functional call graph to assist regression testing for test case prioritization. The presented technique will first categorize the type of impact propagation and then prioritize the impacted segments into higher and lower levels based on propagation categorization. This will help in saving maintenance cost and effort by allocating higher priority to those segments which are impacted more within the impacted set. Thus a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.

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Park, Sangjun, Kyoungho Ahn, and Hesham A. Rakha. "Environmental Impact of Freight Signal Priority with Connected Trucks." Sustainability 11, no. 23 (2019): 6819. http://dx.doi.org/10.3390/su11236819.

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Traffic signal priority is an operational technique employed for the smooth progression of a specific type of vehicle at signalized intersections. Transit signal priority is the most common type of traffic signal priority, and it has been researched extensively. Conversely, the impacts of freight signal priority (FSP) has not been widely investigated. Hence, this study aims to evaluate the energy and environmental impacts of FSP under connected vehicle environment by utilizing a simulation testbed developed for the multi-modal intelligent transportation signal system. The simulation platform consists of VISSIM microscopic traffic simulation software, a signal request messages distributor program, an RSE module, and an Econolite ASC/3 traffic controller emulator. The MOVES model was employed to estimate the vehicle fuel consumption and emissions. The simulation study revealed that the implementation of FSP significantly reduced the fuel consumption and emissions of connected trucks and general passenger cars; the network-wide fuel consumption was reduced by 11.8%, and the CO2, HC, CO, and NOX emissions by 11.8%, 28.3%, 24.8%, and 25.9%, respectively. However, the fuel consumption and emissions of the side-street vehicles increased substantially due to the reduced green signal times on the side streets, especially in the high truck composition scenario.

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Halvorsen, K., A. Slettebo, P. Nortvedt, et al. "Priority dilemmas in dialysis: the impact of old age." Journal of Medical Ethics 34, no. 8 (2008): 585–89. http://dx.doi.org/10.1136/jme.2007.022061.

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Wu, Sze-jung, Mark Lehto, Jason Saleem, B. N. Doebbeling, and Yuehwern Yih. "Impact of Clinical Reminder Redesign on Physicians’ Priority Decisions." Applied Clinical Informatics 01, no. 04 (2010): 466–85. http://dx.doi.org/10.4338/aci-2010-05-ra-0029.

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Summary Objective: Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers’ prioritization of individual CCRs. Design: Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey. Measurements: We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data. Results: We elicited the prioritization heuristics used by the physicians, and found a CCR system needed to be relevant, easy to resolve, and integrated with workflow. The redesign impacted 80% of physicians and 44% of prioritization decisions. Decisions were no longer correlated to resolution time given the new design. The proposed design features were rated useful or very useful. Conclusion: This study demonstrated that the redesign of a CCR system using a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter can impact clinicians’ decision making. These features are expected to ultimately improve the quality of care and patient safety.

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Kumar, Kandasamy Nandha, Balakrishnan Sivaneasan, and Ping Lam So. "Impact of Priority Criteria on Electric Vehicle Charge Scheduling." IEEE Transactions on Transportation Electrification 1, no. 3 (2015): 200–210. http://dx.doi.org/10.1109/tte.2015.2465293.

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Górka, Anna, Andrzej Czerepicki, and Tomasz Krukowicz. "The Impact of Priority in Coordinated Traffic Lights on Tram Energy Consumption." Energies 17, no. 2 (2024): 520. http://dx.doi.org/10.3390/en17020520.

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Traffic signal priority issues have been a research subject for several decades in Poland and worldwide. Traffic control algorithms have evolved considerably during this period and have become increasingly advanced. Most of them operate within coordinated street sequences, which adds to their complexity. Tramway priority affects traffic conditions for other road users, so many aspects must be taken into account when choosing a priority solution. Typically, one of the main criteria for evaluating the effectiveness of priority is reducing travel time for the priority vehicle while ensuring that the travel times of other traffic participants through the intersection are maintained or slightly deteriorated. However, the energy aspects are often overlooked. This publication aims to investigate how local priority for tramways in traffic signals of coordinated streets affects energy consumption for tramway traction needs. The study was conducted using a microscopic modeling method with PTV Vissim software (ver. 2021). The models were built for coordinated sequences with different levels of priority. Real traffic control algorithms with priority were implemented into the model on the sequence of Marymoncka Street and Grochowska Street in Warsaw. Then, by introducing changes to the parameters of the algorithms, their effect on traffic characteristics, including estimated power consumption, was studied. The results obtained from the computer simulation were statistically processed using R software (ver. 4.3.2). The analysis results prove the effectiveness of tramway priority operation, show its impact on electricity consumption, and allow us to determine the limits of its effective application. Thus, they complement the knowledge of the impact of tramway priority on traffic. The research results also have practical value, as they help us to make rational decisions in the process of designing traffic control algorithms at intersections with a multi-criteria approach.

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Zait, Roxana, Daniela Fighir, Brindusa Sluser, Oana Plavan, and Carmen Teodosiu. "Priority Pollutants Effects on Aquatic Ecosystems Evaluated through Ecotoxicity, Impact, and Risk Assessments." Water 14, no. 20 (2022): 3237. http://dx.doi.org/10.3390/w14203237.

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As water management is still a problem of international concern, scientists and practitioners are collaborating to develop new tools and methods to improve and help in the decision-making process. When addressing the priority pollutant monitoring and impact assessment, the ecotoxicity effects, carcinogenic and non-carcinogenic, should be considered together with the exposure factor and health hazards. The main goals of this study were to assess the ecological and health hazards and to apply integrated impact and risk assessment based on the ecotoxicity and exposure factors of each priority pollutant present in the aquatic ecosystem. This study used as a database the measured concentrations of 5 inorganic and 14 organic priority pollutants from the Siret river basin from NE Romania, from 18 river sections monitored in the period 2015–2020. The USEtox methodology and a new integrated index for environmental impact and risk assessment were developed and applied to evaluate the ecological and health hazards and environmental impacts and risks within the river basin. The total impact scores for heavy metals ranged from 2 × 103 to 2.25 × 109, and those for organic pollutants ranged from 2.72 × 10−1 to 2.95 × 106. The environmental risk in the case of inorganic priority pollutants ranged between 5.56 and 3136.35, and that in the case of organic pollutants was between 4.69 and 4059.17. The results revealed that there is a major to catastrophic environmental impact in almost all monitored river sections (10 out of 18), and the overall risk exposure was found to be at a significant to a major level. This study proved the harmful effects that the priority pollutants may have, even in very small concentrations, on non-target organisms and suggests that greater control over the pollution sources and mitigation of environmental impacts and risks should be applied.

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Susena, Karona Cahya, Miftachul Huda, Andino Maseleno, Bibhu Prasad Sahoo, and Karman Kaur. "study on impact of PSL on gross NPAS of nationalised banks: an empirical approach." Linguistics and Culture Review 5, S3 (2021): 81–96. http://dx.doi.org/10.21744/lingcure.v5ns3.1365.

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In order to encourage banks to lend more to neglected areas of the economy, the idea of a priority sector was introduced. These priority sectors add significantly to gross domestic product but have not received sufficient finance to function adequately. However, lending in the priority sector is not very warmly welcomed by the banks, particularly nationalized banks in India, as they generate more nonperforming assets than other sectors. It is the priority sector that contributes to the biggest default. As far as NPAs on account lending to the priority sector are concerned, it has been observed that there are inefficiencies in this sector, such that the fresh loans turning bad. Thus, our study examines the impact of non-priority sector loans on the rise of NPAs in the nationalized banks.

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Postma, Laura, Malou L. Luchtenberg, A. A. Eduard Verhagen, and Els L. Maeckelberghe. "Involving children and young people in paediatric research priority setting: a narrative review." BMJ Paediatrics Open 6, no. 1 (2022): e001610. http://dx.doi.org/10.1136/bmjpo-2022-001610.

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ObjectiveThe objective of this study is twofold: first, to describe the methods used when involving children and young people (CYP) in developing a paediatric research agenda and, second, to evaluate how the existing literature describes the impact of involving CYP. We distinguish three forms of impact: impact on the research agenda (focused impact), impact on researchers and CYP (diffuse impact) and impact on future research (research impact).DesignA narrative review of MEDLINE, PsycINFO, Web of Science and Google Scholar was conducted from October 2016 to January 2022. The included studies involved at least one CYP in developing a research agenda and were published in English.Results22 studies were included; the CYP involved were aged between 6 years and 25 years. Little variation was found in the methods used to involve them. The methods used were James Lind Alliance (JLA) approach (n=16), focus groups (n=2), workshop (n=2), research prioritisation by affected communities (n=1) and combined methods (n=1). Impact was rarely described: focused impact in nine studies, diffuse impact in zero studies and research impact in three studies.ConclusionThis study concludes that the JLA approach is most frequently used to involve CYP and that all methods used to involve them are rarely evaluated. It also concludes that the reported impact of involving CYPs is incomplete. This study implies that to convince sceptical researchers of the benefits of involving CYPs and to justify the costs, more attention should be paid to reporting these impacts.

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Monro, John. "Particle Geometry for Reduced Glycaemic Impact." Proceedings 37, no. 1 (2019): 41. http://dx.doi.org/10.3390/proceedings2019037041.

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Kharohmayani, Desy, and Sudarso Kaderi Wiryono. "The Impact of Banking Policies to the Macroprudential Policy." JEJAK 13, no. 2 (2020): 367–80. http://dx.doi.org/10.15294/jejak.v13i2.25754.

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The interaction between banks and macroeconomics is of crucial importance to financial stability. This study aims to answer the question of how macroeconomic shocks are transmitted to banking variables or vice versa. The study investigated the impact of the banking policies, the principal component of analysis (PCA) of banking quality indicators (CAMEL), and BI's rate to the aggregate of GDP and GDP priority sectors. The methodology used is the Factor Augmented Vector Autoregressive (FAVAR) model to observe the endogeneity of the observed variables. The results show that there is substantial heterogeneity in the transmission of macroeconomic shocks, caused by CAR, CAMEL and BI rate. In the short run, we find that the impulse response functions of aggregate GDP and GDP per sector of priority to the shock of the CAR decrease and close to zero in the long term. Our findings align with the expected effects that the CAMEL has implications to the decline of GDP of priority sector. Finally, we find that the impulse response of aggregate GDP and GDP of the priority sector to monetary policy shock decreases in the short run and near to zero in the more extended period

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BARMAN, SAMIR. "The impact of priority rule combinations on lateness and tardiness." IIE Transactions 30, no. 5 (1998): 495–504. http://dx.doi.org/10.1080/07408179808966489.

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Stuble, Katharine L., and Truman P. Young. "Priority Treatment Leaves Grassland Restoration Vulnerable to Invasion." Diversity 12, no. 2 (2020): 71. http://dx.doi.org/10.3390/d12020071.

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Priority effects can be used to promote target species during restoration. Early planting can provide an advantage over later-arriving species, increasing abundance of these early-arrivers in restored communities. However, we have limited knowledge of the indirect impacts of priority effects in restoration. In particular, we do not understand how priority effects impact non-target species. Of particular conservation concern is how these priority effects influence establishment by non-native species. We use a field-based mesocosm experiment to explore the impacts of priority effects on both target and non-target species in California grasslands. Specifically, we seeded native grasses and forbs, manipulating order of arrival by planting them at the same time, planting forbs one year before grasses, planting grasses one year before forbs, or planting each functional group alone. While our study plots were tilled and weeded for the first year, the regional species pool was heavily invaded. We found that, while early-arrival of native grasses did not promote establishment of non-native species, giving priority to native forbs ultimately left our restoration mesocosms vulnerable to invasion by non-native species. This suggests that, in some cases, establishment of non-native species may be an unintended consequence of using priority treatments as a restoration tool.

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Kartikasari, Ika Bayu, and R. Irwan Bagyo Santoso. "Impact of Drinking Water Treatment Process Using Life Cycle Assessment (LCA) to Minimize Environmental Impact Risk." Journal of Social Research 2, no. 9 (2023): 3218–30. http://dx.doi.org/10.55324/josr.v2i9.1294.

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The clean water treatment plant at DWTP is carried out with conventional treatment. The conventional water treatment process has an impact on the environment due to the clean water treatment process. Clean water treatment produces GWP and Eutrophication impacts derived from the use of chemicals and electricity. This study aims to analyze the factors causing environmental impacts arising from the clean water treatment process at the PDAM Water Treatment Plant (IPA) and determine policy priorities related to reducing environmental impacts and improving the quality of drinking water treatment at the Water Treatment Plant based on the results of LCA and AHP studies. The Life Cycle Assessment (LCA) method is a method of assessing the potential environmental impact and evaluating the environmental performance of a process on the product. Life Cycle Assessment (LCA) consists of four stages, namely determination of Goal and Scope, Life Cycle Inventory, Life Cycle Impact Assessment, and data interpretation. In research, the scope of LCA used is Gate to Gate, namely in the Coagulation, Flocculation, and Sedimentation process units. From the results of the LCA study, the potential impact of GWP of 12760.76 KgCO2-eq comes from flocculation which produces floc from the addition of chemicals. Meanwhile, the potential impact of eutrophication is 268.55 KgPO4-eq derived from mud generation. The results of the decision in reducing environmental impact at DWTP by optimizing chemicals as a top priority, then the second priority by recycling sludge, and finally making savings and energy alternatives are the last priority. Each respondent's score reached 55%, 23% and 22%. The results of the implementation of the program if implemented can reduce the impact of GWP 20079.17 kg CO2-eq and the impact of eutrophication can be reduced by 201.401 kg PO4-eq.mportant matters discussed in the paper that significantly contribute to the final result of the research may be noted here, but you have to consider, however, the limited space of the abstract.

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Young, Amber E., and Robert M. T. Staruch. "Is Post-Burn Scarring a Research Priority?" European Burn Journal 3, no. 2 (2022): 355–61. http://dx.doi.org/10.3390/ebj3020030.

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National and international research budgets are insufficient to approve all requests for funding, even if a methodology is of high quality and the outputs are likely to have an impact on improving patient outcomes [...]

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Ghanim, Mohammad S., Francois Dion, and Ghassan Abu-Lebdeh. "The impact of dwell time variability on transit signal priority performance." Canadian Journal of Civil Engineering 41, no. 2 (2014): 154–63. http://dx.doi.org/10.1139/cjce-2012-0306.

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Transit signal priority (TSP) is an operational control strategy that provides preferential treatments for transit vehicles at signalized intersections. Many transit agencies are currently considering the implementation of priority systems providing buses with preferential treatments at signalized intersections. While studies have demonstrated potential bus delay reductions, none has attempted to identify the problems posed by variable dwell times at bus stops. This study identifies the impacts of variable dwell times on the efficiency of transit signal priority systems. Results also show that, in general, variable dwell times negatively affect the TSP performance. However, and contrary to expectations, a number of scenarios with variable dwell times resulted in lower average bus delays than scenarios with fixed dwell times. These results are attributed to changes in progression and bus arrival patterns under variable dwell times resulting in an increasing number of buses arriving close enough to benefit from preferential treatments.

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Osadcha, A. B., and T. V. Gavrys. "Priority area “Life sciences, new technologies of prevention and common diseases treatment”: financing and impact analysis." Science, technologies, innovation, no. 4(16) (2020): 34–42. http://dx.doi.org/10.35668/2520-6524-2020-4-04.

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In core foundation of the most important priority area of Ukraine “Life sciences, new technologies of prevention and common diseases treatment” are the current problems of modern Ukrainian society, labor productivity in all economy sectors. Rational distribution of funds and a high level of implementation of scientific (scientific and technical) outputs are the driving force of progressive technological structural changes in the economy and an important factor in ensuring the competitiveness of the national economy. The article presents the results of the author’s research on the state of implementation of one of the six priority areas defined by the Law of Ukraine “About Priority Areas of Science and Technology Development” for the period up to 2020, and 12 priority thematic areas of research, scientific and technical developments specified priority and approved by the Resolution of the Cabinet of Ministers of Ukraine from 07.09.2011 No. 942 for the period up to 2020 (as amended in accordance with the resolution of the Cabinet of Ministers of Ukraine from 23.08.2016 No. 556, which supplemented priority thematic areas list with new areas aimed at ensuring national security, increasing the state’s defense capabilities, protecting the civilian population, medicine, the agricultural sector, as well as clarifying the wording of a number of priority thematic areas).

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Hao, Zhengbo, Yizhe Wang, and Xiaoguang Yang. "Every Second Counts: A Comprehensive Review of Route Optimization and Priority Control for Urban Emergency Vehicles." Sustainability 16, no. 7 (2024): 2917. http://dx.doi.org/10.3390/su16072917.

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Emergency vehicles (EMVs) play an important role in saving human lives and mitigating property losses in urban traffic systems. Due to traffic congestion and improper priority control strategies along the rescue route, EMVs may not be able to arrive at rescue spots on time, which also increases traffic risk and has a negative impact on social vehicles (SVs). The greater the negative impact on SVs, such as increased delay times and queue length, the more profound the negative impacts on urban environmental sustainability. Proper rescue route selection and priority control strategies are essential for addressing this problem. Consequently, this paper systematically reviews the studies on EMV routing and priority control. First, a general bibliometric analysis is conducted using VOSviewer. This study also classifies the existing studies into three parts: EMV travel time prediction (EMV-TTP), EMV routing optimization (EMV-RO), and EMV traffic priority control (EMV-TPC). Finally, this study provides future research suggestions on five aspects: 1. uncovering authentic demand characteristics through EMV data mining, 2. incorporating the distinct characteristics of EMV in EMV-RO models, 3. implementing active EMV-TPC strategies, 4. concentrating more on the negative impacts on SVs, and 5. embracing the emerging technologies in the future urban traffic environment.

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Bong, Mi-Hee, and Won-Seok Seo. "Priority Analysis of the Integrated Resort Impact Assessment indicators using AHP." Journal of Tourism Sciences 45, no. 4 (2021): 55–73. http://dx.doi.org/10.17086/jts.2021.45.4.55.73.

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Al Khateeb, Hadeel, and Akmal Abdulfatah. "The impact of transit signal priority: case study in Dubai, UAE." MATEC Web of Conferences 120 (2017): 07009. http://dx.doi.org/10.1051/matecconf/201712007009.

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Perito, Emily R., Douglas B. Mogul, Douglas VanDerwerken, et al. "The Impact of Increased Allocation Priority for Children Awaiting Liver Transplant." Journal of Pediatric Gastroenterology and Nutrition 68, no. 4 (2019): 472–79. http://dx.doi.org/10.1097/mpg.0000000000002287.

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Gilland, Wendell G., and Donald P. Warsing. "The Impact of Revenue-Maximizing Priority Pricing on Customer Delay Costs." Decision Sciences 40, no. 1 (2009): 89–120. http://dx.doi.org/10.1111/j.1540-5915.2008.00217.x.

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Cueto, Jose Luis, Alina Mihaela Petrovici, Ricardo Hernández, and Francisco Fernández. "Analysis of the Impact of Bus Signal Priority on Urban Noise." Acta Acustica united with Acustica 103, no. 4 (2017): 561–73. http://dx.doi.org/10.3813/aaa.919085.

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Cao, Ping, Yaolei Wang, and Jingui Xie. "Priority Service Pricing with Heterogeneous Customers: Impact of Delay Cost Distribution." Production and Operations Management 28, no. 11 (2019): 2854–76. http://dx.doi.org/10.1111/poms.13086.

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Rashwand, Saeed, and Jelena Misic. "Impact of priority differentiation on the bridged WBAN/WLAN healthcare networks." Wireless Communications and Mobile Computing 14, no. 12 (2012): 1189–200. http://dx.doi.org/10.1002/wcm.2264.

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Jaluague, Jucel Asis. "The Impact of Education Setup Towards Teachers Capability and Development Priority." Jurnal Pendidikan Progresif 13, no. 3 (2023): 997–1010. http://dx.doi.org/10.23960/jpp.v13.i3.202308.

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Firda, D., and W. Estiningtyas. "Determination of priority locations to support climate change adaptation." IOP Conference Series: Earth and Environmental Science 892, no. 1 (2021): 012057. http://dx.doi.org/10.1088/1755-1315/892/1/012057.

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Abstract Climate change has had a significant impact on the agricultural sector and the impact is different in each place due to spatial variations in Indonesia. One of the efforts that must be made to reduce risk is to adapt. The purpose of this paper is to determine the key locations and their relationship to rice production for adaptation to climate change. Rainfall data and Oceanic Nino Index (ONI) are used to see the relationship between these two parameters through regression analysis and significance in El Niño and La Niña conditions. In El Niño conditions 24 key locations were obtained and in La Niña 3 priority locations. From the selected key locations, regression analysis was performed to determine the relationship between rainfall and rice production. The regression results at the sample locations show a fairly high R2 value, namely 0.4 to 0.9, namely in Juntinyuat (West Java), Palasari (Bali), and Detusoko (East Nusa Tenggara). Other key locations are also found in several provinces. This key location is a priority location where the rainfall is strongly influenced by the extreme climate phenomenon El Niño and La Niña so that it can be used to assess the impact and monitor its impact on food farming. Socialization of the use of climate information to extension workers and farmers will greatly help reduce risks and increase capacity to adapt to climate change.

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Husereau, Don, Michel Boucher, and Hussein Noorani. "Priority setting for health technology assessment at CADTH." International Journal of Technology Assessment in Health Care 26, no. 3 (2010): 341–47. http://dx.doi.org/10.1017/s0266462310000383.

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Objectives: The aim of this study was to describe a current practical approach of priority setting of health technology assessment (HTA) research that involves multi-criteria decision analysis and a deliberative process.Methods: Criteria related to HTA prioritization were identified and grouped through a systematic review and consultation with a selection committee. Criteria were scored through a pair-wise comparison approach. Criteria were pruned based on the average weights obtained from consistent (consistency index < 0.2) responders and consensus. HTA proposals are ranked based on available information and a weighted criteria score. The rank, along with additional contextual information and discussion among committee members, is used to achieve consensus on HTA research priorities.Results: Six of eleven criteria represented > 75 percent of the weight behind committee member decisions to conduct an HTA. These criteria were disease burden, clinical impact, alternatives, budget impact, economic impact, and available evidence. Since May 2006, committees have considered 102 proposals at sixteen biannual in-person advisory committee meetings. These have selected twenty-nine research priorities for the HTA program.Conclusions: The approach works well and was easy to implement. Feedback from committee members has been positive. This approach may assist HTA and other research agencies in better priority setting by informing the selection of the most important and policy-relevant topics in the presence of a wide variety of research proposals. This may in turn lead to efficiently allocating resources available for HTA research.

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Polishchuk, Yevheniia, Alla Ivashchenko, and Anna Kornyliuk. "REGIONAL SMART SPECIALIZATION: MICROBUSINESS IMPACT." Baltic Journal of Economic Studies 6, no. 5 (2020): 209–15. http://dx.doi.org/10.30525/2256-0742/2020-6-5-209-215.

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SMART specialization is a basic approach to the development of regional innovation policy. It involves identifying priority sectors of the local economy with the involvement of key stakeholders. Currently, statistics on the development of regions are presented in terms of large business, small and medium. In this context, the generally accepted methodology from the Joint Research Center of the European Commission has limited application. Because it does not take into account the performance of microbusiness (individual entrepreneurs). For countries with economies in transition, this is critical, as they reach 80% of the business structure. Therefore, considering their voice is also necessary. Our approach involves a combination of quantitative (assessment of innovation and economic potential of the region) and qualitative (survey of microbusiness representatives) methods to identify priority areas of SMART specialization. Approbation of the offered method was carried out on the example of the Mykolaiv region which is in the south of Ukraine. The results of the study have shown that the innovation of microenterprises is at a low level. At the same time, they demonstrate a high level of desire to be involved in the process of SMART specialization and innovation of production.

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Moraczewska-Majkut, Katarzyna, and Katarzyna Kalemba. "The occurrence of priority substances in surface water." E3S Web of Conferences 59 (2018): 00011. http://dx.doi.org/10.1051/e3sconf/20185900011.

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In the article the presence of substances, specified in the Water Framework Directive as a priority, in the aquatic environment was analyzed. The impact of priority substances on organisms especially on human health and ways of reducing their occurrence was discussed. Particular attention was paid to the legal aspects of the presence of these compounds in the aquatic environment and the principles of monitoring of priority substances.

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Rabinovich, Mordechai, Francis Wood, and Joshua Shemer. "Impact of new medical technologies on health expenditures in Israel 2000–07." International Journal of Technology Assessment in Health Care 23, no. 4 (2007): 443–48. http://dx.doi.org/10.1017/s0266462307070675.

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Objectives: The aim of this study was to estimate the impact of new medical technologies on public healthcare expenditures in Israel over the period 2000–07.Methods: For each year, government estimates for the costs of new technologies recommended as high-priority for public funding were summarized. The ratio of projected costs of these technologies to total public healthcare expenditures was calculated and compared with actual governmental budget allocations for new technologies.Results: Funding all new high-priority medical technologies would have increased healthcare expenditures by 2.1 percent per year. Government allocations for new technologies raised expenditures by 1.0 percent per year.Conclusions: New medical technologies significantly increase healthcare expenditures in Israel. Budgetary constraints have reduced their actual impact by 52 percent. This study indicates the need for an annual addition of 2 percent to public healthcare budget for funding new high-priority technologies.

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Muñoz, Ivan, M. José Gómez, Antonio Molina-Díaz, Mark A. J. Huijbregts, Amadeo R. Fernández-Alba, and Eloy García-Calvo. "Ranking potential impacts of priority and emerging pollutants in urban wastewater through life cycle impact assessment." Chemosphere 74, no. 1 (2008): 37–44. http://dx.doi.org/10.1016/j.chemosphere.2008.09.029.

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Husaini, Achmad, Maria K. Tupamahu, Rulinawaty Rulinawaty, Bibhu Prasad Sahoo, and Rahul Chauhan. "Impact of cash in hand in the total priority sector lending: an empirical assessment." Linguistics and Culture Review 5, S3 (2021): 74–80. http://dx.doi.org/10.21744/lingcure.v5ns3.1364.

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As a major lending institution, nationalized banks in India have the major responsibilities for achieving the government's socio-economic objectives like growth in agriculture, education, small scale sector, and housing in the backward area. This is because, in emergent countries like India, the availability of funds for the above priority sectors is scarce. Hence, in this paper, we aim to see any impact of cash in hand on lending to the priority sector. The article analyzes secondary data of 12 years periods starting from 1st April 2006 to 31st March 2018 (total span of 12 years). The outcome indicates nationalized bank's ability to generate priority sector loans is checked by the availability of cash in hand.

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Ribeiro, Jonathan Nícolas dos Santos. "The Perception of Medical Students Regarding the Approach to Obesity as a Priority." Diabetes & Obesity International Journal 4, no. 4 (2019): 1–2. http://dx.doi.org/10.23880/doij-16000214.

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Obesity is a chronic disease and increasing incidence, studies reveal that treating and preventing seven of the top 10 killer diseases. Although much is published about the theme, there is a degree of ignorance on the part of the medical community about the treatment of obesity and its impact on chronic diseases. The present work investigated the medical student's view of the impact of obesity as a priority when dealing with related comorbidities. A survey was conducted, assessing the medical student's perception of the patient with obesity. Of a total of 377 students, 267 (70.82%) stated that other diseases such as diabetes and hypertension should be prioritized when evaluating the obese patient, while 110 (29.17%) stated that obesity should be prioritized. Based on the outcomes presented, it can be concluded that the perception of medical students regarding obesity approach still shows a predominance opinions that other diseases should be a priority over obesity.

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Clay, Patrick A., Meghan A. Duffy, and Volker H. W. Rudolf. "Within-host priority effects and epidemic timing determine outbreak severity in co-infected populations." Proceedings of the Royal Society B: Biological Sciences 287, no. 1922 (2020): 20200046. http://dx.doi.org/10.1098/rspb.2020.0046.

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Co-infections of hosts by multiple pathogen species are ubiquitous, but predicting their impact on disease remains challenging. Interactions between co-infecting pathogens within hosts can alter pathogen transmission, with the impact on transmission typically dependent on the relative arrival order of pathogens within hosts (within-host priority effects). However, it is unclear how these within-host priority effects influence multi-pathogen epidemics, particularly when the arrival order of pathogens at the host-population scale varies. Here, we combined models and experiments with zooplankton and their naturally co-occurring fungal and bacterial pathogens to examine how within-host priority effects influence multi-pathogen epidemics. Epidemiological models parametrized with within-host priority effects measured at the single-host scale predicted that advancing the start date of bacterial epidemics relative to fungal epidemics would decrease the mean bacterial prevalence in a multi-pathogen setting, while models without within-host priority effects predicted the opposite effect. We tested these predictions with experimental multi-pathogen epidemics. Empirical dynamics matched predictions from the model including within-host priority effects, providing evidence that within-host priority effects influenced epidemic dynamics. Overall, within-host priority effects may be a key element of predicting multi-pathogen epidemic dynamics in the future, particularly as shifting disease phenology alters the order of infection within hosts.

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Beak, Byungho, Mehdi Zamanipour, K. Larry Head, and Blaine Leonard. "Peer-to-Peer Priority Signal Control Strategy in a Connected Vehicle Environment." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 18 (2018): 15–26. http://dx.doi.org/10.1177/0361198118773567.

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This paper presents a methodology that enhances the priority signal control model in the multi-modal intelligent traffic signal system (MMITSS). To overcome the range limit of vehicle to infrastructure (V2I) and the intersection geometry message (MAP) distance limits, peer-to-peer intersection communications are utilized to send priority requests from adjacent intersections. Through integrated communication, the peer priority control strategy can create a signal plan for prioritized vehicles that considers longer term (headway) arrival times. Transit vehicles are considered in this study. The longer-term signal plan provides a flexible signal schedule that allows local phase actuation. The peer priority strategy is effective in reducing the number of stops and delay for priority eligible vehicles, while minimizing the negative impact on regular vehicles. To validate the strategy, a simulation experiment was designed to compare fully actuated control, coordination, and MMITSS priority control using two different VISSIM simulation networks (Arizona and Utah). The result shows that the peer-to-peer long term planning strategy can improve transit service reliability while limiting the adverse impact on other traffic.

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Noorani, Hussein Z., Donald R. Husereau, Rhonda Boudreau, and Becky Skidmore. "Priority setting for health technology assessments: A systematic review of current practical approaches." International Journal of Technology Assessment in Health Care 23, no. 3 (2007): 310–15. http://dx.doi.org/10.1017/s026646230707050x.

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Objectives: This study sought to identify and compare various practical and current approaches of health technology assessment (HTA) priority setting.Methods: A literature search was performed across PubMed, MEDLINE, EMBASE, BIOSIS, and Cochrane. Given an earlier review conducted by European agencies (EUR-ASSESS project), the search was limited to literature indexed from 1996 onward. We also searched Web sites of HTA agencies as well as HTAi and ISTAHC conference abstracts. Agency representatives were contacted for information about their priority-setting processes. Reports on practical approaches selected through these sources were identified independently by two reviewers.Results: A total of twelve current priority-setting frameworks from eleven agencies were identified. Ten countries were represented: Canada, Denmark, England, Hungary, Israel, Scotland, Spain, Sweden, The Netherlands, and United States. Fifty-nine unique HTA priority-setting criteria were divided into eleven categories (alternatives; budget impact; clinical impact; controversial nature of proposed technology; disease burden; economic impact; ethical, legal, or psychosocial implications; evidence; interest; timeliness of review; variation in rates of use). Differences across HTA agencies were found regarding procedures for categorizing, scoring, and weighing of policy criteria.Conclusions: Variability exists in the methods for priority setting of health technology assessment across HTA agencies. Quantitative rating methods and consideration of cost benefit for priority setting were seldom used. These study results will assist HTA agencies that are re-visiting or developing their prioritization methods.

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Warsilan, Warsilan, and Akhmad Noor. "Peranan Infrastruktur terhadap Pertumbuhan Ekonomi dan Implikasi pada Kebijakan Pembangunan di Kota Samarinda." MIMBAR, Jurnal Sosial dan Pembangunan 31, no. 2 (2015): 359. http://dx.doi.org/10.29313/mimbar.v31i2.1444.

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Infrastructure plays a role in economic growth. This study describes therelationship of economic growth and infrastructure, analyze the impact of infrastructure oneconomic growth and analyze the policy implications of road construction in the Samarindacity. The results obtained show that the health center infrastructure, clean water androads have a positive and significant impact on economic growth. Results showed that themethod AHP first priority goal is to increase employment by increasing the length targetpriority roads, the second priority boost economic growth with the addition of roads, andthe third priority of reducing poverty with the addition of road length.

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Burgonov, О. V., and Е. V. Mikhaylov. "Impact of the Digital Economy on the Priority Directions of Business Regulation." Economics and Management 27, no. 5 (2021): 345–54. http://dx.doi.org/10.35854/1998-1627-2021-5-345-354.

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Aim. The presented study aims to determine the prerequisites and directions for the transformation of government regulation and support for business structures in the context of the digitalization of the economy and to propose approaches for assessing its implementation and speciﬁc tools that could help to solve problems of economic development.Tasks. The authors analyze government support for the business sector of the economy and identify its features at different stages of development; describe tools used for the management and support of business structures, identifying problems and opportunities for their successful application at the regional level to achieve sustainable economic growth in Russia.Methods. This study uses analysis and synthesis in comparative statics and in a dynamic context as well as historical, systems, and ex-ante approaches. Results. The study conﬁrms that government regulation and support for entrepreneurship in the context of the digitalization of the economy should be considered within the framework of an integrated approach based on a dynamic analysis of indicators at the macro- and microlevel, which would make it possible to analyze the most vulnerable aspects of government support for business structures and to develop a roadmap of actions to be taken.Conclusions. The authors substantiate the necessity of using infrastructure tools in the management of entrepreneurial development in Russia to eliminate the constantly emerging and existing imbalances between the needs of digital development and lagging government inﬂuence. Adjustments that need to be made in monitoring, forecasting, planning, and control are identiﬁed. These adjustments would make it possible to implement the scenario approach to management, mitigating external and internal risks in the global market of goods and services.

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McDonnell, Simon, Susana Ferreira, and Frank Convery. "Impact of Bus Priority Attributes on Catchment Area Residents in Dublin, Ireland." Journal of Public Transportation 9, no. 3 (2006): 137–62. http://dx.doi.org/10.5038/2375-0901.9.3.8.

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Gradova, N. B., T. V. Guseva, A. V. Malkov, and V. I. Panfilov. "Environmental Assessment of Impact on Soil of Priority Pollutants of Biotechnological Productions." Biotekhnologiya 34, no. 3 (2018): 59–66. http://dx.doi.org/10.21519/0234-2758-2018-34-3-59-66.

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Ross, Amanda, and Anne Walker. "THE IMPACT OF LOW-PRIORITY LAWS ON CRIMINAL ACTIVITY: EVIDENCE FROM CALIFORNIA." Contemporary Economic Policy 35, no. 2 (2016): 239–52. http://dx.doi.org/10.1111/coep.12179.

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Liu, Can, Sen Wang, Hao Liu, and Wenqing Zhu. "The impact of China's Priority Forest Programs on rural households’ income mobility." Land Use Policy 31 (March 2013): 237–48. http://dx.doi.org/10.1016/j.landusepol.2012.07.004.

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