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Academic literature on the topic 'Same day weed delivery'

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Published: 26 July 2024
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Journal articles on the topic "Same day weed delivery"

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Kezic, Aleksandra, Marko Baralic, Djina Tomasevic, Sasa Kadija, and Radmila Sparic. "Various faces of the same disease: membranous nephropathy in pregnancy - A case series." Srpski arhiv za celokupno lekarstvo 147, no. 9-10 (2019): 632–35. http://dx.doi.org/10.2298/sarh190221076k.

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Introduction. Pregnancies in women with membranous nephropathy (MN) are usually complicated by increased proteinuria and superimposed preeclampsia, and this frequently results in poor pregnancy outcomes. The aim of this paper is to present case series of pregnant women with MN and different fetal and maternal outcomes. Outline of cases. Case 1 presents a 25-year-old woman with MN, who had relapsed nephrotic syndrome in early pregnancy with proteinuria of 4.14 g/day and serum albumin of 30 g/L accompanied by hypertension. Due to a missed abortion, the pregnancy was terminated. Three months later her proteinuria was still increased, measuring 3 g/day. Case 2 presents a 29-year-old woman with a history of diffuse proliferative glomerulonephritis, who conceived with proteinuria below 0.5 g/day. The proteinuria ranged between 1 and 2 g/day from the 32nd until the 38th gestational week, when she delivered a healthy neonate. After delivery, the woman underwent a kidney biopsy, which revealed MN. Case 3 presents a 25-year-old woman with MN, whose proteinuria was 1 g/day at the time of conception, but in the 35th gestational week proteinuria of 4.2 g/day was noticed. In the 36th gestational week, increased proteinuria was detected, and a cesarean section was performed with favorable neonatal outcome. After two weeks her proteinuria dropped to 0.6 g/day. Conclusion. Pregnancies in women with MN associated with low-grade proteinuria at the time of conception may have a favorable perinatal outcome. Such pregnancies require multidisciplinary management by both obstetricians and nephrologists, and team decision regarding the best timing of delivery.
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Ghani, Afroza, Aftabun Nahar, Nasrin Sultana, Ashiya Khatun, Rifat Sultana, Md Abdullah Yusuf, and Rooh E. Zakaria. "Prediction of Gestational age by Last Menstrual Period (LMP) in Comparison to Ultrasonography (USG)." Journal of Shaheed Suhrawardy Medical College 6, no. 2 (March 7, 2017): 82–86. http://dx.doi.org/10.3329/jssmc.v6i2.31776.

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Background: Accurate dating is cardinally important for good pregnancy care. USG provides accurate dating of GA and has now days become an essential part maternal antenatal care.Objective: The purpose of the present study was to identify LMP as a better method for predicting the day of delivery than the USG measurement.Methodology: This was a Hospital-Based prospective, comparative study conducted at both inpatient and outpatient Department of Obstetrics and Gynaecology at Chittagong Medical College Hospital, Chittagong from October 2007 to September 2008 for a period of one year. The study populations were pregnant women with certain LMP and had dating USG at Nuclear Medicine Centre, Chittagong performed in first or early second trimester 12 - 14 weeks.Result: Among the 112 patients, 61 patients delivered within i 7 days of EDD based on LMP; whereas 82 patients delivered within 1 7 days of EDD based on USG. Of these, actual day of delivery of 49 patients correlated with the same gestational week determined by both LMP and USG. Actual day of delivery of 18 among these 112 patients did not correlate with the EDD determined either by LMP or USG and they all delivered beyond i 7 days of EDD based on either LMP or USG.Conclusion: USG dating during the estimated GA range of 12 to 14 weeks gave a more accurate prediction of delivery date than the estimate based on LMP.J Shaheed Suhrawardy Med Coll, 2014; 6(2):82-86
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Janssen, Anna B., Katrina A. Savory, Samantha M. Garay, Lorna Sumption, William Watkins, Isabel Garcia-Martin, Nicola A. Savory, et al. "Persistence of anxiety symptoms after elective caesarean delivery." BJPsych Open 4, no. 5 (August 17, 2018): 354–60. http://dx.doi.org/10.1192/bjo.2018.48.

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BackgroundIn the UK, 11.8% of expectant mothers undergo an elective caesarean section (ELCS) representing 92 000 births per annum. It is not known to what extent this procedure has an impact on mental well-being in the longer term.AimsTo determine the prevalence and postpartum progression of anxiety and depression symptoms in women undergoing ELCS in Wales.MethodPrevalence of depression and anxiety were determined in women at University Hospital Wales (2015–16; n = 308) through completion of the Edinburgh Postnatal Depression Scale (EPDS; ≥13) and State-Trait Anxiety Inventory (STAI; ≥40) questionnaires 1 day prior to ELCS, and three postpartum time points for 1 year. Maternal characteristics were determined from questionnaires and, where possible, confirmed from National Health Service maternity records.ResultsUsing these criteria the prevalence of reported depression symptoms was 14.3% (95% CI 10.9–18.3) 1 day prior to ELCS, 8.0% (95% CI 4.2–12.5) within 1 week, 8.7% (95% CI 4.2–13.8) at 10 weeks and 12.4% (95% CI 6.4–18.4) 1 year postpartum. Prevalence of reported anxiety symptoms was 27.3% (95% CI 22.5–32.4), 21.7% (95% CI 15.8–28.0), 25.3% (95% CI 18.5–32.7) and 35.1% (95% CI 26.3–44.2) at these same stages. Prenatal anxiety was not resolved after ELCS more than 1 year after delivery.ConclusionsWomen undergoing ELCS experience prolonged anxiety postpartum that merits focused clinical attention.Declaration of interestNone.
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Singh, Lucky, Ritam Dubey, Prashant Kumar Singh, Saritha Nair, M. Vishnu Vardhana Rao, and Shalini Singh. "Association between timing and type of postnatal care provided with neonatal mortality: A large scale study from India." PLOS ONE 17, no. 9 (September 16, 2022): e0272734. http://dx.doi.org/10.1371/journal.pone.0272734.

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Objectives This study examines the association between quality Postnatal Care (PNC) considering timing and providers’ type on neonatal mortality. The aim extends to account for regional disparities in service delivery and mortality including high and non-high focus states. Methods Ever-married women aged 15–49 years (1,87,702) who had delivered at least one child in five years preceding the survey date surveyed in National Family Health Survey (2015–16) were included in the study. Neonatal deaths between day two and seven and neonatal deaths between day two and twenty-eight were considered dependent variables. Descriptive statistics and multivariate regression analysis were conducted. Results Chances of early neonatal mortality were 29% (OR = 0.71; 95%CI: 0.59–0.84) among newborns receiving PNC within a day compared to ones devoid of it while 40% (OR: 0.60; 95%CI: 0.51–0.71) likelihood for the same was noted if PNC was delivered within a week. Likelihood of neonatal mortality decreased by 24% (OR: 0.76; 95%CI: 0.65–0.88) when skilled PNC was delivered within 24 hours. Receiving quality PNC by skilled providers within a day in a non-high focus state decreased the chances of neonatal mortality by 26% (OR: 0.74; 95%CI: 0.59–0.92) compared to ones who did not receive any PNC. Conclusions Neonatal deaths were significantly associated with socioeconomic and contextual characteristics including age, education, household wealth, social group and region. Timing of PNC delivered and by a skilled healthcare provider was found significant in reducing neonatal mortality.
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Simister, Robert, Georgia B. Black, Mariya Melnychuk, Angus IG Ramsay, Abigail Baim-Lance, David L. Cohen, Jeannie Eng, et al. "Temporal variations in quality of acute stroke care and outcomes in London hyperacute stroke units: a mixed-methods study." Health Services and Delivery Research 8, no. 34 (August 2020): 1–98. http://dx.doi.org/10.3310/hsdr08340.

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Background Seven-day working in hospitals is a current priority of international health research and policy. Previous research has shown variability in delivering evidence-based clinical interventions across different times of the day and week. We aimed to identify factors influencing such variations in London hyperacute stroke units. Objectives To investigate variations in quality of acute stroke care and outcomes by day and time of admission in London hyperacute stroke units, and to identify factors influencing such variations. Design This was a prospective cohort study using anonymised patient-level data from the Sentinel Stroke National Audit Programme. Factors influencing variations in care and outcomes were studied through interview and observation data. Setting The setting was acute stroke services in London hyperacute stroke units. Participants A total of 7094 patients with a primary diagnosis of stroke took part. We interviewed hyperacute stroke unit staff (n = 76), including doctors, nurses, therapists and administrators, and 31 patients and carers. We also conducted non-participant observations of delivery of care at different times of the day and week (n = 45, ≈102 hours). Intervention Hub-and-spoke model for care of suspected acute stroke patients in London with performance standards was designed to deliver uniform access to high-quality hyperacute stroke unit care across the week. Main outcome measures Indicators of quality of acute stroke care, mortality at 3 days after admission, disability at the end of the inpatient spell and length of stay. Data sources Sentinel Stroke National Audit Programme data for all patients in London hyperacute stroke units with a primary diagnosis of stroke between 1 January and 31 December 2014, and nurse staffing data for all eight London hyperacute stroke units for the same period. Results We found no variation in quality of care by day and time of admission across the week in terms of stroke nursing assessment, brain scanning and thrombolysis in London hyperacute stroke units, nor in 3-day mortality nor disability at hospital discharge. Other quality-of-care measures significantly varied by day and time of admission. Quality of care was better if the nurse in charge was at a higher band and/or there were more nurses on duty. Staff deliver ‘front-door’ interventions consistently by taking on additional responsibilities out of hours, creating continuities between day and night, building trusting relationships and prioritising ‘front-door’ interventions. Limitations We were unable to measure long-term outcomes as our request to the Sentinel Stroke National Audit Programme, the Healthcare Quality Improvement Partnership and NHS Digital for Sentinel Stroke National Audit Programme data linked with patient mortality status was not fulfilled. Conclusions Organisational factors influence 24 hours a day, 7 days a week (24/7), provision of stroke care, creating temporal patterns of provision reflected in patient outcomes, including mortality, length of stay and functional independence. Future work Further research would help to explore 24/7 stroke systems in other contexts. We need a clearer understanding of variations by looking at absolute time intervals, rather than achievement of targets. Research is needed with longer-term mortality and modified Rankin Scale data, and a more meaningful range of outcomes. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 34. See the NIHR Journals Library website for further project information.
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AlShamsi, Abdullatif, Jihad Mohaidat, Noura Al Hinai, and Ahmed Samy. "Instructional and Business Continuity Amid and Beyond COVID-19 Outbreak: A Case Study from the Higher Colleges of Technology." International Journal of Higher Education 9, no. 6 (September 18, 2020): 118. http://dx.doi.org/10.5430/ijhe.v9n6p118.

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With the announcement of COVID-19 as pandemic, and the call for social distancing, academic institutions reacted by shutting campuses and calling for the shift to virtual online delivery. In HCT, we conducted this study in an effort to sustain success in these global challenging times of crisis that is informed by strategic foresight.HCT called for an all-online delivery starting March 22, 2020 after a two-day pilot in the preceding week. HCT readiness is a result of orchestrating: an ecosystem perspective on digital transformation, a forth-looking institutional strategy that has technology utilization as a major pillar, an education technology strategy, and a comprehensive set of intelligent learning tools.Forward-looking scenarios were designed based on two critical uncertainties: (1) COVID-19 longevity and (2) socio-economic disruption. These scenarios are: Divine Mercy, Recovery Mode, New Norm, and Survival of the Fittest. Subsequently, the features of each scenario are assessed for implications on HCT’s business and support operations, and the proactive strategies are documented to cope with these implications.During the full online delivery mode period, HCT recorded 86% satisfaction amongst its faculty and 54% amongst its student body, delivered 234,000 hours through 61,000 online classes, and delivered over 21,000 hours of online professional development (PD). Over the same period, more than 1900 non-faculty employees have been running business as usual from home.Envisioning future scenarios and preparing the organization for them is a practice that should be deployed in parallel to emergency response efforts to ensure successful business continuity.
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Darrow, Lyndsey A., Mengjiao Huang, Joshua L. Warren, Matthew J. Strickland, Heather A. Holmes, Andrew J. Newman, and Howard H. Chang. "Preterm and Early-Term Delivery After Heat Waves in 50 US Metropolitan Areas." JAMA Network Open 7, no. 5 (May 24, 2024): e2412055. http://dx.doi.org/10.1001/jamanetworkopen.2024.12055.

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ImportanceHeat waves are increasing in frequency, intensity, and duration and may be acutely associated with pregnancy outcomes.ObjectiveTo examine changes in daily rates of preterm and early-term birth after heat waves in a 25-year nationwide study.Design, Setting, and ParticipantsThis cohort study of singleton births used birth records from 1993 to 2017 from the 50 most populous US metropolitan statistical areas (MSAs). The study included 53 million births, covering 52.8% of US births over the period. Data were analyzed between October 2022 and March 2023 at the National Center for Health Statistics.ExposuresDaily temperature data from Daymet at 1-km2 resolution were averaged over each MSA using population weighting. Heat waves were defined in the 4 days (lag, 0-3 days) or 7 days (lag, 0-6 days) preceding birth.Main Outcomes and MeasuresDaily counts of preterm birth (28 to <37 weeks), early-term birth (37 to <39 weeks), and ongoing pregnancies in each gestational week on each day were enumerated in each MSA. Rate ratios for heat wave metrics were obtained from time-series models restricted to the warm season (May to September) adjusting for MSA, year, day of season, and day of week, and offset by pregnancies at risk.ResultsThere were 53 154 816 eligible births in the 50 MSAs from 1993 to 2017; 2 153 609 preterm births and 5 795 313 early-term births occurring in the warm season were analyzed. A total of 30.0% of mothers were younger than 25 years, 53.8% were 25 to 34 years, and 16.3% were 35 years or older. Heat waves were positively associated with daily rates of preterm and early-term births, showing a dose-response association with heat wave duration and temperatures and stronger associations in the more acute 4-day window. After 4 consecutive days of mean temperatures exceeding the local 97.5th percentile, the rate ratio for preterm birth was 1.02 (95% CI, 1.00-1.03), and the rate ratio for early-term birth was 1.01 (95% CI, 1.01-1.02). For the same exposure, among those who were 29 years of age or younger, had a high school education or less, and belonged to a racial or ethnic minority group, the rate ratios were 1.04 (95% CI, 1.02-1.06) for preterm birth and 1.03 (95% CI, 1.02-1.05) for early-term birth. Results were robust to alternative heat wave definitions, excluding medically induced deliveries, and alternative statistical model specifications.Conclusions and RelevanceIn this cohort study, preterm and early-term birth rates increased after heat waves, particularly among socioeconomically disadvantaged subgroups. Extreme heat events have implications for perinatal health.
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Ende, Holly B., Ruth Landau, Naida M. Cole, Sara M. Burns, Brian T. Bateman, Melissa E. Bauer, Jessica L. Booth, et al. "Labor prior to cesarean delivery associated with higher post-discharge opioid consumption." PLOS ONE 16, no. 7 (July 9, 2021): e0253990. http://dx.doi.org/10.1371/journal.pone.0253990.

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Background Severe acute post-cesarean delivery (CD) pain has been associated with an increased risk for persistent pain and postpartum depression. Identification of women at increased risk for pain can be used to optimize post-cesarean analgesia. The impact of labor prior to CD (intrapartum CD) on acute post-operative pain and opioid use is unclear. We hypothesized that intrapartum CD, which has been associated with both increased inflammation and affective distress related to an unexpected surgical procedure, would result in higher postoperative pain scores and increased opioid intake. Methods This is a secondary analysis of a prospective cohort study examining opioid use up to 2 weeks following CD. Women undergoing CD at six academic medical centers in the United States 9/2014-3/2016 were contacted by phone two weeks following discharge. Participants completed a structured interview that included questions about postoperative pain scores and opioid utilization. They were asked to retrospectively estimate their maximal pain score on an 11-point numeric rating scale at multiple time points, including day of surgery, during hospitalization, immediately after discharge, 1st week, and 2nd week following discharge. Pain scores over time were assessed utilizing a generalized linear mixed-effects model with the patient identifier being a random effect, adjusting for an a priori defined set of confounders. A multivariate negative binomial model was utilized to assess the association between intrapartum CD and opioid utilization after discharge, also adjusting for the same confounders. In the context of non-random prescription distribution, this model was constructed with an offset for the number of tablets dispensed. Results A total of 720 women were enrolled, 392 with and 328 without labor prior to CD. Patients with intrapartum CD were younger, less likely to undergo repeat CD or additional surgical procedures, and more likely to experience a complication of CD. Women with intrapartum CD consumed more opioid tablets following discharge than women without labor (median 20, IQR 10–30 versus 17, IQR 6–30; p = 0.005). This association persisted after adjustment for confounders (incidence rate ratio 1.16, 95% CI 1.05–1.29; p = 0.004). Pain scores on the day of surgery were higher in women with intrapartum CD (difference 0.91, 95% CI 0.52–1.30; adj. p = <0.001) even after adjustment for confounders. Pain scores at other time points were not meaningfully different between the two groups. Conclusion Intrapartum CD is associated with worse pain on the day of surgery but not other time points. Opioid requirements following discharge were modestly increased following intrapartum CD.
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Kucuk, Izzet Goker, and Ebru Aladag. "Young Maternal Death Caused by COVID-19." Eurasian Journal of Family Medicine 10, no. 3 (September 30, 2021): 158–62. http://dx.doi.org/10.33880/ejfm.2021100307.

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Maternal death refers to the death of a woman during pregnancy, during delivery, or within 42 days after the termination of pregnancy, and for any reason exaggerated by the pregnancy condition or pregnancy process regardless of the duration and location of the pregnancy. Starting on 11 March 2020 in Turkey, the COVID-19 pandemic resulted in a total of 5,638,178 confirmed cases and 51,048 deaths. Our case aged 24 years was a young mother having severe weight loss since the beginning of pregnancy because of malnutrition due to depression, smoking, and nausea. The weight loss of the patient, who was infected by COVID-19 in a short while after the last visit in family healthcare, became more severe, the general appearance became worse, and she gave preterm birth in the 30th gestational week. The cardiopulmonary arrest occurred during the delivery. Although necessary interventions were made, the patient was lost on the same day. Since it is a rare case, this case is presented together with a literature review. Keywords: COVID-19, pandemics, maternal mortality
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De Carvalho, Cleginaldo Pereira, Marcela Aparecida Guerreiro Machado, Herlandí de Souza Andrade, Fabrício Maciel Gomes, Nilo Antônio de Souza Sampaio, and Ícaro da Silva Vieira. "Improving the delivery performance: a case study applying statistical approaches for brasilian fast food." Revista de Gestão e Secretariado 14, no. 12 (December 27, 2023): 22069–99. http://dx.doi.org/10.7769/gesec.v14i12.3298.

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Purpose - Brazilian demand for a faster way of food feeding is growing and delays in delivery time impair customer satisfaction. Although food delivery apps are popular, the work aims to find the root causes of delays at a popular pizzeria in the Brazilian State of São Paulo, highlighting that the pizza manufacturing processes are the same as in past years. Design/methodology/approach - An anonymous survey conducted with the customers showed the key points of improvement for pizzerias in the city where the pizzeria was located. Data was collected from the pizzeria in question, so its non-compliances could be identified and further investigated using statistical analysis. Findings - The results showed a strong correlation between delivery time and the hour of order. Deliveries were faster on Monday compared to the other days of the week, possibly due to a reduced number of orders on this day, but it doesn’t explain the fact that Tuesday, Wednesday, and Thursday, which also had low numbers of orders, had high delivery times. This research work intends also to show that the process of the coming order is standard by apps, but the pizza manufacturing process is not. It means the concept of service quality is not reached during a period. Originality/value - This work has shown that applying quality tools and statistical analysis can bring advantages even for small food service companies. Other establishments that suffer from similar problems could also use the strategies for solving the delays.
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Dissertations / Theses on the topic "Same day weed delivery"

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Ni, Ming. "Transportation Analytics and Last-Mile Same-Day Delivery with Local Store Fulfillment." Thesis, State University of New York at Buffalo, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10745024.

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The recent emergence of social media and online retailing become increasingly important and continue to grow. More and more people use social media to share their real life to the digital world, at the same time, browse the virtual Internet to buy the real products. In the process, a huge amount of data is generated and we investigate the data and crowdsourcing for areas of the public transportation and last-mile delivery for online orders in the perspective of data analytics and operations optimization.

We first focus on the transit flow prediction by crowdsourced social media data. Subway flow prediction under event occurrences is a very challenging task in transit system management. To tackle this challenge, we leverage the power of social media data to extract features from crowdsourced content to gather the public travel willingness. We propose a parametric and convex optimization-based approach to combine the least squares of linear regression and the prediction results of the seasonal autoregressive integrated moving average model to accurately predict the NYC subway flow under sporting events.

The second part of the thesis focuses on the last-mile same-day delivery with store fulfillment problem (SDD-SFP) using real-world data from a national retailer. We propose that retailers can take advantage of their physical local stores to ful?ll nearby online orders in a direct-to-consumer fashion during the same day that order placed. Optimization models and solution algorithms are developed to determine store selections, fleet-sizing for transportation, and inventory in terms of supply chain seasonal planning. In order to solve large-scale SDD-SFP with real-world datasets, we create an accelerated Benders decomposition approach that integrates the outer search tree and local branching based on mixed-integer programming and develops optimization-based algorithms for initial lifting constraints.

In the last part of the dissertation, we drill down SDD-SFP from supply chain planning to supply chain operation level. The aim is to create an optimal exact order ful?llment plan to specify how to deliver each received customer order. We adopt crowdsourced shipping, which utilizes the extra capacity of the vehicles from private drivers to execute delivery jobs on trips, as delivery options, and define the problem as same-day delivery with crowdshipping and store fulfillment (SDD-CSF). we develop a set of exact solution approaches for order fulfillment in form of rolling horizon framework. It repeatedly solves a series of order assignment and delivery plan problem following the timeline in order to construct an optimal fulfillment plan from local stores. Results from numerical experiments derived from real sale data of a retailer along with algorithmic computational results are presented.

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Andersson, Tomas. "A Comparative Study on a Dynamic Pickup and Delivery Problem : Improving routing and order assignment in same-day courier operations." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-303131.

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Pickup and Delivery Problems (PDPs) constitute a class of Vehicle Routing Problems (VRPs) consisting of finding the optimal routes for a fleet of vehicles to deliver requests from a set of origin locations to a corresponding set of destinations. PDPs are NP-hard and have a wide variety of variants and potential constraints. This thesis evaluates methods for solving a dynamic single- vehicle PDP restricted by multiple time-related constraints. The problem is dynamic in the sense that new requests arrive as time is simulated and inserted into the vehicle’s pickup and delivery plan as it is being executed. The time- related constraints include limited time windows during which the requests may be picked up or delivered, as well as maximum ride times that items may spend in the vehicle before being delivered. To solve the problem, we adapt insertion heuristics based on Large Neighborhood Search (LNS) and Heuristic Destroy and Repair (HDR) to the problem and evaluate them in a comparative study. Solution methods for the PDP are also applied on the problem of dynamically assigning incoming orders to vehicles in a delivery service with a short planning horizon. A PDP-based order assignment strategy is compared with assignment strategies based on proximity and workload. Due to the short planning horizon of the target application, the study is focused on finding well-performing methods for quickly solving small PDPs containing 10-15 requests. Our results indicate that LNS outperforms HDR for small problem instances. However, the quick convergence of HDR allows it to outperform LNS for larger problem instances. We also show that applying a PDP- based assignment strategy in the order assignment problem allows the service to accommodate more requests than the alternative assignment strategies while simultaneously providing a significant reduction in operational costs. Future work may improve the order assignment strategy by incorporating more anticipatory functionality and streamlining the PDP methods with more efficient tests for the feasibility of solutions.
Pickup and Delivery Problems (PDP:er) utgör en grupp av Vehicle Routing Problems (VRP:er) som består av att hitta de optimala rutterna för en fordonsflotta för att leverera beställningar från en uppsättning av upplockningsplatser till motsvarande uppsättning av avlämningsplatser. PDP:er är NP-svåra och har en stor mängd olika varianter och potentiella begränsningar. Denna avhandling utvärderar metoder för att lösa ett dynamiskt enkel-fordon PDP med flera tidsrelaterade begränsningar. Problemet är dynamiskt i den mening att nya beställnigar anländer i samband med att tiden simuleras och sätts in i fordonets leveransplan samtidigt som den utförs. De tidsrelaterade begränsningarna innefattar begränsade tidsfönstren under vilka beställningar kan plockas upp eller lämnas av, samt maximala tider som hämtade föremål får tillbringa i fordonet innan de lämnas av. För att lösa problemet anpassar vi insättningsheuristiker baserade på Large Neighborhood Search (LNS) och Heuristic Destroy and Repair (HDR) till problemet och utvärderar dem i en jämförande studie. Lösningsmetoder för PDP tillämpas också på problemet att dynamiskt tilldela inkommande beställningar till fordon i en leveransservice med en kort planeringshorisont. En PDP-baserad tilldelningsstrategi jämförs med strategier baserade på närhet och arbetsbelastning. På grund av målapplikationens korta planeringshorisont så fokuserar studien på att hitta väl presterande metoder för att snabbt lösa små PDP:er som innehåller 10-15 förfrågningar. Våra resultat indikerar att LNS överträffar HDR för små probleminstanser. Däremot leder den snabba konvergensen av HDR till att den överträffar LNS för större probleminstanser. Vi visar också att tillämpningen av en PDP-baserad tilldelningsstrategi i tilldelningsproblemet gör att tjänsten kan tillgodose fler beställningar än de alternativa tilldelningsstrategierna, samtidigt som det ger en betydlig minskning av driftskostnaderna. Framtida arbete kan förbättra tilldelningsstrategin genom att integrera mer förutseende funktionalitet och effektivisera PDP-metoderna med ett mer effektivt test av genomförbarhet för lösningar.
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Yeh, Zhi-Cheng, and 葉智承. "The same-day delivery orders assignment problem for E-commerce Logistics." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/rryy4b.

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碩士
國立臺北科技大學
工業工程與管理系
106
This study deals with the problem of assigning same-day delivery orders of Electronic Commerce (EC) operators to their logistics service providers (LSPs). Same-day delivery orders refer to the orders which are placed by online shopping customers before the cut-off time set by EC operators and have to be delivered (usually by the end of operation time of logistics companies) on the same day. The problem considers a single EC operator collaborating with several LSPs that deliver online shopping orders to the locations specified by customers within the same day when orders are placed. The objective is to minimize the total logistics cost of the EC operator. The constraints include that (i) each order must be assigned to a LSP, (ii) the service areas, distribution modes and capacities of the LSPs need to be considered, and (iii) the minimal number of orders assigned to each LSP guaranteed by the EC operator must be satisfied. The last constraint facilitates that all orders do not concentrate on a small number of LSPs. This study builds a time-space network to represent the given same-day delivery orders (i.e., demand data) and constructs a multi-layer time-space network to describe the supply data (i.e., service areas, modes, capacities and costs) of the LSPs, with each layer corresponding to a LSP. An optimal same-day delivery orders assignment model is then established based on the constructed multi-layer time-space network. A numerical example is generated based on the real data of several EC operators in Taiwan and solved using the optimization software, Gurobi. Sensitivity analyses are also conducted to examine the impact of several model parameters on the objective value and computational time. The results show that the proposed model can help EC operators to effectively assign same-day-delivery orders to their LSPs.
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How to Order Weed Delivery in Durham for Same Day Weed Delivery. calikushweb, 2023.

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Same Day Delivery. HALL, NOAH, 2023.

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days, gift. Mothers Day Same Day Delivery Mothers Day Gifts: Mothers Day Flowers Made Me a Better Person in the World ! Independently Published, 2020.

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By the Sea Color by Number: An Adult Coloring Book Featuring Fun and Relaxing Beach Vacation Scenes, Peaceful Ocean Landscapes and Beautiful Summer Designs, Same Day Delivery Gifts. Independently Published, 2021.

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Lencsis, Peter. Workers Compensation. Greenwood Publishing Group, Inc., 1998. http://dx.doi.org/10.5040/9798216038689.

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For human resource professionals, labor law specialists, and others involved in the practice of labor-management relations, Lencsis provides a concise, easily-accessed description of the workers compensation system in the United States, its governing laws and also its insurance aspects. Covering all major facets of workers compensation legislation and the insurance and risk management techniques used to comply with them, his book will have equal benefits for the staffs of insurance companies and brokerages, compensation and claims professionals, and for workers compensation executives in governmental agencies. Lencsis explains that workers compensation laws were enacted on the federal and state levels in the early part of the century and have endured in the same basic form to the present. They represent a radical departure from common law concepts of negligence and damages in that they provide for statutory medical and wage-loss benefits regardless of who is at fault. Lencsis explores how insurance mechanisms in the public and private sectors are used to fund benefits and to make their delivery as secure and certain as possible. He also notes that workers compensation insurance is a major part of the property-casualty insurance business, and as such has recently become one of its most profitable areas. Lencsis' book helps readers to understand these concepts and to work with them in the day-to-day conduct of their business.
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Book chapters on the topic "Same day weed delivery"

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Côté, Jean-François, Thiago Alves de Queiroz, Francesco Gallesi, and Manuel Iori. "Optimization Methods for the Same-Day Delivery Problem." In AIRO Springer Series, 335–49. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34960-8_30.

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Kawa, Arkadiusz, Bartlomiej Pieranski, and Wojciech Zdrenka. "Dynamic Configuration of Same-Day Delivery in E-commerce." In Modern Approaches for Intelligent Information and Database Systems, 305–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76081-0_26.

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Jonas, Daniel, Franz-Joseph Miller, and Dirk Seng. "Von gleich auf jetzt – Same Day Delivery am Beispiel von Liefery." In Handel mit Mehrwert, 473–93. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-21692-4_21.

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Li, Meng, Kaiquan Cai, and Peng Zhao. "Proximal Policy Optimization for Same-Day Delivery with Drones and Vehicles." In Data Mining and Big Data, 211–24. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0837-6_15.

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Bracher, Adrian, Nikolaus Frohner, and Günther R. Raidl. "Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems." In Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 283–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78230-6_18.

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Löhr, Michael, and Andreas Schäfer. "Same Day Delivery – durch digitale Prozesse den lokalen Standort skalierbar als Wettbewerbsvorteil nutzen – Praxisbeispiele." In Digitalisierung im Handel, 197–221. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55257-5_11.

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Ackva, Charlotte. "A Two-Stage Stochastic Optimisation Model for Urban Same-Day Delivery with Micro-hubs." In Lecture Notes in Operations Research, 3–9. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24907-5_1.

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Zhou, Boyang, and Liang Cheng. "Deep Reinforcement Learning-Based Scheduling for Same Day Delivery with a Dynamic Number of Drones." In Service-Oriented Computing, 34–41. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48421-6_3.

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Leape, Lucian L. "Who Can I Trust? Ensuring Physician Competence." In Making Healthcare Safe, 319–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71123-8_20.

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AbstractGwyneth Vives, a scientist at Los Alamos National Laboratory in New Mexico, suffered a complication and bled to death 3 hours after giving birth to a healthy boy in 2001. It was 4 days before Christmas. Vives suffered a vaginal tear and other lacerations during the delivery that caused profuse bleeding. Her obstetrician, Pamela Johnson, was sued for failure to order a blood transfusion for Vives as well as abandonment since she had turned over repair of the vaginal tear to a midwife. Two other patients also sued Johnson. Jean Challacombe alleged that Johnson tore her bowel and uterus while doing a dilation and curettage the same day Vives died. Tanya Lewis accused Johnson of doing an unnecessary hysterectomy.
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Wilson, Robert. "Introduction." In Nonlinear Pricing, 1–24. Oxford University PressNew York, NY, 1993. http://dx.doi.org/10.1093/oso/9780195068856.003.0001.

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Abstract In the major regulated industries, each posted rate schedule or contract specifies a tariff that indicates the total charge payable by the customer for services provided. The prices (per unit) embodied in tariffs often depend on some aspect of the quantity of services or the rate at which they are purchased. The same feature is seen in many unregulated industries, usually in the form of quantity discounts, rebates, or credits toward subsequent purchases. The way in which the quantity purchased affects the total charge takes many different forms. For example: Railroad tariffs specify charges based on the weight, volume, and distance of each shipment. For instance, discounts on the charge per mile per hundred weight are offered for full-car shipments and for long-distance shipments. In other transport industries such as trucking, airlines, and parcel delivery the rates depend also on the speed of delivery or the time of the day, week, or season.
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Conference papers on the topic "Same day weed delivery"

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Sebe, Sînziana-Maria, Philipp Kraus, Jörg Müller, and Stephan Westphal. "Cross-provider Platoons for Same-day Delivery." In 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007689600002179.

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Sebe, Sînziana-Maria, Philipp Kraus, Jörg Müller, and Stephan Westphal. "Cross-provider Platoons for Same-day Delivery." In 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007689601060116.

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Bae, Sang Won, Tammy Chung, Brian Suffoletto, Mohammad Islam, Jiameng Du, Serim Jang, Yuuki Nishiyama, Raghu Mulukutla, and Anind Dey. "Mobile Phone Sensor-Based Detection of Subjective Cannabis “High” in Young Adults: A Feasibility Study in Real-World Settings." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.31.

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Aim: Acute cannabis intoxication can impair motor skills and cognitive functions. Given possible impairment related to acute cannabis intoxication, we explored whether mobile phone-based sensors (e.g., GPS, text/phone logs) can detect episodes of acute cannabis intoxication (subjective “high” state) as self-reported in natural environments by young adults. Methods: Young adults (ages 18-25), who reported cannabis use at least twice per week, were recruited by research registry and Craigslist to participate in a mobile phone data collection study (up to 30 days) in Pittsburgh, PA (2017-2019). Participants responded to fixed time phone surveys (3 times/day) and self-initiated reports of cannabis use (start/stop time, rating of subjective high: 0-10, 10=very high). Our mobile AWARE app continuously collected phone sensor data, which was segmented into 5-minute windows for analysis. We built and tested multiple machine learning classifiers (e.g., Support Vector Machine, Light Gradient Boosting Machine (LGBM)) on training (60%), validation (20%), and test (20%) datasets to determine which classifier performed best in distinguishing subjective cannabis “high” (rating=1-10) vs “not high” (rating=0). To minimize the influence of imbalanced data on model performance in the training dataset, we used both over-sampling with Synthetic Minority Over-sampling Technique (SMOTE) and random under-sampling of the majority class, so that both classes (“high”, “not-high”) had the same number of training samples. We also tested the importance of time features (i.e., day of week, time of day: morning, afternoon, evening) relative to smartphone sensor data only on model performance, since time features alone might predict “routines” in cannabis use. Results: Young adults (N=57; 58% female; mean age=19.82 [SD=1.76]; 71.92% White, 15.78% Black, 12.28% Asian and other ethnicity) reported 451 episodes of cannabis use, mean subjective high rating=3.77 (SD=2.64). The sensor dataset included 1,648 datapoints representing reports of subjective ""high"" and 60,580 data points representing ""not high"" reports. For the two time-based features only model, the LGBM classifier had 91% accuracy in detecting subjective cannabis intoxication (vs “not-high”) in the test dataset (Area Under the Curve [AUC]=0.75). Combining smartphone sensor data with the two time-based features (day of week, time of day) improved model performance, with 95% accuracy (AUC=0.93), indicating that smartphone features contribute unique information, and that time features further improve model performance in detecting rating of subjective cannabis ""high"". Among the 102 phone sensor features entered into the analyses (smartphone sensors + time model), some of the most important features (the top 2 were the time features) included travel (GPS: smaller travel radius within a day when feeling ""high”), movement (e.g., smaller number of activity changes when feeling ""high”), and communication/sociability (e.g., increased phone usage interactions, greater voice and noise level around individuals). Conclusion: Results from this proof-of-concept study indicate the feasibility of using phone sensors to detect effects of cannabis intoxication in the natural environment in a population-based model among young adults. Mobile phone sensors show promise for automated and continuous detection of cannabis use in daily life in a sample of young adults, with potential implications for triggering the delivery of just-in-time interventions to minimize marijuana-related harm.
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Alsibaei, Mohammad, Salah Haridy, and M. Affan Badar. "Factors Affecting Same Day Delivery in the UAE." In 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO). IEEE, 2019. http://dx.doi.org/10.1109/icmsao.2019.8880383.

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Tabiryan, Nelson, Jonathan Slagle, Michael McConney, Timothy Bunning, and David Roberts. "The Era of Custom Diffractive Optics with Same Day Delivery." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/fio.2023.fth1d.1.

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Technology of geometrical phase optics has been matured to enable customization and fabrication even in large aperture sizes within minutes enhancing development efficiency of novel optical systems. It is also the most environmentally friendly optics technology requiring only milligrams of material per square inches.
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Maleas, Zisis, Sofoklis Dais, Georgia Ayfantopoulou, and Josep Maria Salanova Grau. "Online policies and multimodal data processing for the same day delivery problem." In SETN 2022: 12th Hellenic Conference on Artificial Intelligence. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3549737.3549789.

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Frohner, Nikolaus, Günther Raidl, and Francisco Chicano. "Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines." In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3583133.3596381.

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Lochem, Jelmer van, Maximilian Kronmueller, Pim van 't Hof, and Javier Alonso-Mora. "Anticipatory Vehicle Routing for Same-Day Pick-up and Delivery using Historical Data Clustering." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294424.

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Sritrakool, Wichaya, and Pisit Jarumaneeroj. "An Integer Programming Model for the Deterministic Wave-Based Same-Day Pickup and Delivery Problem." In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2020. http://dx.doi.org/10.1109/iciea49774.2020.9102097.

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Ostrowski, JJ, K. Parikh, and A. Umar. "Piloting Tom Brown, a locally produced supplementary therapeutic food for the management of moderate acute malnutrition in Gombe State, Nigeria." In MSF Paediatric Days 2024. NYC: MSF-USA, 2024. http://dx.doi.org/10.57740/bvijtc.

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BACKGROUND AND OBJECTIVES Over 50,000 children in Nigeria’s Gombe state have moderate acute malnutrition (MAM) and are at risk of deteriorating to severe acute malnutrition (SAM). An effective strategy to reduce mortality is through a targeted supplementary feeding programme delivered within community-based management of acute malnutrition (CMAM) interventions. We present findings from an outpatient therapeutic programme (OTP) which used Tom Brown for treating children with MAM. Tom Brown is a locally produced flour blend of sorghum, soybeans, and groundnuts, consumed as a sweetened porridge. METHODS We conducted retrospective analysis of patient data from OTP sites in three local government areas between October 2022 and December 2023. Data were extracted for children aged 6-59 months diagnosed with MAM, defined as absence of oedema; weight-for- height z-score (WHZ) ≥-3 and <-2; and/or mid upper arm circumference (MUAC) ≥11.5 and <12.5 cm. Those enrolled for at least 14 days and receiving 1.5 kg per week of Tom Brown were included. RESULTS Of the 1,207 cases of MAM treated, 1,089 (90.2%) recovered i.e. had two consecutive visits with WHZ >-2 and MUAC < 12.5 and no severe clinical complications; 91 (7.5%) defaulted; 21 (1.7%) did not improve; 4 (<1%) were transferred out; and 2 (<1%) died at the end of follow- up. During treatment, 197 (16.3%) deteriorated to SAM and were switched to ready-to-use therapeutic food. All deaths (n=2) deteriorated to SAM. For children who recovered without deterioration, average enrolment length was 36.3 (±15.8) days and average weight gain was 4.21 (±3.03) g/kg/day. CONCLUSIONS With acceptable recovery and low death rates, Tom Brown is a feasible alternative for treatment of MAM. Made with cheaper ingredients, it can potentially reach more children for the same cost, particularly when combined with frequent screening and early diagnosis in the community. Timely follow-up of defaulters may also improve adherence. Research is needed to understand Tom Brown’s effectiveness compared to commercial products or combination with cash-based assistance.
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