Standard Time Research Articles

Modeling of heat conduction through rate equations

AbstractStarting from a classical thermodynamic approach, we derive rate-type equations to describe the behavior of heat flow in deformable media. Constitutive equations are defined in the material (Lagrangian) description where the standard time derivative satisfies the principle of objectivity. The statement of the Second Law is formulated in the classical form and the thermodynamic restrictions are then developed following a variant of the Coleman-Noll procedure where the entropy production too is given by a non-negative constitutive equation. Both the free energy and the entropy production are assumed to depend on a common set of independent variables involving, in addition to temperature, both temperature gradient and heat-flux vector together with their time derivatives. This approach results in rate-type constitutive function for the heat flux that are intrinsically consistent with the Second Law and easily amenable to analysis. In addition to providing already known models (e.g., Maxwell-Cattaneo-Vernotte’s and Jeffreys-like heat conductors), this scheme allows the formulation of new models of heat transport that are likely to apply also in nanosystems. This is consistent with the fact that higher-order time derivatives of the heat flux are in order when high-rate regimes occur.

Time-reliability optimization for the stochastic traveling salesman problem

This paper presents a novel approach to addressing the Stochastic Traveling Salesman Problem (STSP), a classical problem in combinatorial optimization, by integrating travel time and reliability factors into the decision-making process. Traditional TSP models primarily focus on minimizing the total travel distance or cost without considering the reliability of each route. In real-world situations, especially in logistics and network design, it's just as important to have reliable routes. A reliable route means there's a good chance it will be completed successfully and on time. Our research extends the conventional STSP framework by incorporating a reliability metric for each route, alongside the standard travel time metric. A tri-objective optimization model is proposed to minimize the mean and standard deviation of travel time and maximize route reliability simultaneously. A new algorithm called Permutation Binary-Addition-Tree (BAT) is proposed to solve the problem more efficiently when there is uncertainty. Our approach marks a significant step towards more realistic and practical solutions for route optimization problems in dynamic and uncertain environments. We also present a complexity analysis of our model against traditional cost-only TSP solutions, demonstrating the efficacy of considering reliability in route planning.

Technical and Economic Performance Assessment of Solar Milling Plants in Zambia

In 2015, the Zambian government embarked on a proactive endeavor to enhance the accessibility of economical maize meal through the inception of the Solar Powered Milling Plants (SMPs) Project. The Chinese Government and the Government of the Republic of Zambia jointly provided co-financing, supporting this audacious initiative with a significant financial commitment of US$200 million. However, there have been no documented results on the technical and economic performance of the solar milling plants. To this effect, this study aimed to establish the technical and economic performance of the milling plants installed by the Zambia Cooperative Federation. To achieve this, the study sought to: (1) establish the technical operational characteristics of the installed SMPS; (2) establish the factors that influenced the sitting of the plants; (3) determine the economic benefits of the SMPs; and (4) benchmark the technical operating conditions of the installed SMPs. The study employed a mixed methods approach, where benchmarking observations and semi-structured questionnaires were used as data collection instruments. The sample size of the study was 168, comprising cooperative leaders, solar milling plant operators, and community members from the 12 sites in Masaiti, Chikankata, Solwezi, and Kapiri Mposhi districts where the milling plants were installed. The field observations and questionnaires that were used for the study showed that all twelve sites in the Solwezi, Masaiti, Kapiri Mposhi, and Chikankata Districts needed the same amount of power to run, which was between 7.5 kW and 9.0 kW. However, only Site 3 in Solwezi and Sites 4 and 5 in Masaiti Districts strictly followed the standard operation time of 8 hours. The study has also shown that the two main factors that influenced the placement of the solar milling plants were proximity to the main roads of the communities and the availability of land near the Food Reserve Agency(FRA) shades. With regards to economic benefits, the generated results showed that the installed milling plants brought about employment creation as two operators were employed for each of the 12 sites. However, the revenues generated by the solar milling plants were not economically viable for loan repayment. The study recommended that predictive and corrective maintenance, in addition to project management training for cooperatives and operators, be carried out to improve the technical and economic performance of the solar milling plants.

Abstract PO2-01-01: Biophysical simulation using DCE-MRI to forecast response to NAT in HER2+ patients, with glucose characterization and orthogonal validation using FDG-PET

Abstract Background: Metabolic reprogramming and tumor angiogenesis are two tightly linked hallmarks of cancer. Regions of high metabolic activity within a tumor can become hypoxic or nutrient starved, eliciting a cascade of pro-angiogenic signals that can lead to increased tumor perfusion and in turn greater metabolic activity. Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and 18Fluorodeoxyglucose (FDG) positron emission tomography (PET) are two imaging methods commonly used in the diagnosis of cancer; the former can be also used to identify the perfusion of the tumor microenvironment (TME) and the latter provides a coarse readout of glucose metabolic activity. Here, we are presented with a unique cohort of patients who underwent DCE-MRI, 18FDG-PET and 64Cu-DOTA-Traztuzumab offering potential to perform a pilot analysis. First, we characterize the performance of our perfusion model SimBioSys- Microvasculature (SBS-MV) through a stability analysis, as well as comparison with two PET modalities. Finally, we use this model in 3D simulations of individual HER2+ breast cancer patients to forecast responses to neoadjuvant chemotherapy (NAT). Methods: SBS-MV is a modified Tofts model for pharmacokinetic modeling of DCE-MRI data, utilizing a tissue segmentation model developed in-house to inform parameter fits and ensure that the derived parameters fall within acceptable values on a tissue-by-tissue level, in addition its function for standard fitting of DCE time-course data. We first evaluated the stability of the SBS-MV model by analyzing a separate cohort of 10 patients who underwent ultrafast DCE-MRI. Temporal undersampling was performed on the original high temporal resolution data to mimic low temporal resolution from standard-of-care (SoC) DCE studies. Both datasets were processed with SBS-MV model. Next, we analyzed data from a cohort of 18 patients, each of whom underwent a pre-NAT SoC DCE-MRI study, a mid-treatment FDG PET/CT study, and a mid-treatment 64Cu-DOTA-Trastuzumab/CT study during treatment. Tissue segmentation and SBS-MV fits were performed on the pre-NAT DCE MRI. Tightly cropped boxes encompassing the tumor in the 3D SBS-MV volumes as well as the PET volumes were created. Using these identified regions, all summary statistics were calculated and cross-correlated between imaging modalities. Results: SBS-MV was stable to SoC-mimicking temporally undersampled ultrafast DCE MRI series, demonstrating relatively little variability in the output parameters (a voxel wise median deviation of approximately 0.005 min-1 ). Further, we demonstrate that SBS-MV parameters (Ktrans, ve) are correlated with FDG SUVSA and 64Cu SUVSA. In addition, the glucose concentrations used in the biophysical simulations were correlated with FDG SUVSA, indicating that downstream applications of the SBS-MV models still carry this information about perfusion. Finally, using SBS-MV, our biophysical simulations of HER2-targeted therapy accurately predict patient response. In this small cohort, our biophysical simulation platform performed well, yielding predictive accuracy of 0.83, with sensitivity and specificity of 0.83 and 0.83, respectively. These performance metrics are in line with previously published reports. Conclusion: Our MV model is capable of extracting biologically meaningful perfusion parameters from standard clinical DCE MRI time series, providing the same benefits of a comprehensive kinetic analysis, without impacting current clinical workflow. This approach could be used in both the research and clinical settings, offering actionable information on what drives individual patient therapeutic response for a more personalized care. Citation Format: John Whitman, Vikram Adhikarla, Russell Rockne, Lusine Tumyan, Joanne Mortimer, Wei Huang, Joseph Peterson, Dorys Lopez-Ramos, John Cole. Biophysical simulation using DCE-MRI to forecast response to NAT in HER2+ patients, with glucose characterization and orthogonal validation using FDG-PET [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-01-01.

Neurophysiological Mechanisms of Exertional Dyspnea in Patient’s Post-Pulmonary Embolism: The Effect of Inhaled Nitric Oxide

Following pulmonary embolism (PE), up to a third of patients develop persistent activity-related dyspnea, even in those without chronic thromboembolic pulmonary hypertension (CTEPH). It has been shown that heightened exertional dyspnea in patients post-PE (without CTEPH) is linked to greater inspiratory neural drive (IND) during exercise. The heightened IND, in turn, is secondary to increased physiological dead space (VD/VT) and greater ventilatory requirements for CO2 (VE/VCO2). The reasons for the increased VD/VT and VE/VCO2 are unclear, although pulmonary microvascular dysfunction and the corresponding capillary hypoperfusion is a potential mechanism. Thus, the current study tested the hypothesis that inhaled nitric oxide (iNO), a selective pulmonary vasodilator, would lower exertional IND and dyspnea, and improve exercise endurance in patients post-PE. In turn, the reduced IND and dyspnea would be linked to reductions in VD/VT and VE/VCO2. In this randomized, double-blind, placebo-controlled crossover study, 14 clinically stable patients with chronic activity related dyspnea post-PE (without evidence of PH) completed symptom-limited constant work rate cycle exercise tests while breathing iNO (40 ppm) or placebo (21% O2), on separate days. IND (assessed by diaphragm electromyography), VD/VT and VE/VCO2 (expired and arterialized blood gas), and dyspnea intensity (modified Borg 0-10 scale) were compared throughout exercise. At rest, right-ventricular systolic pressure (RVSP) with placebo or iNO was estimated by echocardiography. At the highest individual standardized exercise time (5.8±2.0 min), iNO decreased VD/VT (0.22±0.09 vs 0.27±0.07, p=0.02), VE/VCO2 (33.0±3.5 vs 34.5±3.8 units, p=0.04), IND (48.8±10.3 vs 57.6±11.8 %, p=0.02) and dyspnea intensity (3.0±1.0 vs 4.0±1.4 Borg units, p<0.01), compared with placebo. Throughout exercise, estimated alveolar ventilation, O2 saturation, O2 pulse and operating lung volumes were unaffected by iNO (all p>0.05). iNO increased exercise endurance time (8.1±3.5 vs 6.5±2.3 min, p<0.001), compared with placebo. iNO reduced resting RVSP by 2.5±2.0 mmHg. iNO decreased exertional IND and dyspnea, and improved exercise endurance in patients with post-PE. The reduced IND, in turn, may be linked to decreased VD/VT and VE/VCO2, reflecting improved ventilation/perfusion. These data provide preliminary evidence of a partially reversible pulmonary vasculopathy, that contributes to dyspnea and exercise limitation in symptomatic patients post-PE. Queen’s University Spear Endowment Grant. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

A Comparison of 06:00 AM Versus 09:00 AM Serum Cortisol as a Basal Morning Cortisol in Guwahati, Assam: A Pilot Study.

Cortisol secretion is regulated by circadian rhythm, which is influenced by zeitgebers like light. In India, the entire country operates under a single time zone, Indian Standard Time, which may not align with the local sunrise timing across different regions. This study aimed to compare the basal serum cortisol levels between 06:00 AM and 09:00 AM in Guwahati, Assam, where sunrise occurs earlier compared with the western part of the country. A cross-sectional pilot study was conducted from December 2022 to June 2023 in a tertiary care hospital in Guwahati. Serum cortisol samples were collected at 06:00 AM and 09:00 AM from 25 healthy adult participants once in winter and again in summer. Descriptive statistics and paired Student's t-tests were used. The mean serum cortisol levels at 06:00 AM in winter, summer and overall were 13.2, 13.4 and 13.3 μg/dL, respectively. At 09:00 AM, the mean serum cortisol levels in winter, summer and overall were 8.2, 7.7 and 8.0 μg/dL, respectively. Significant differences were observed between the 06:00 AM and 09:00 AM cortisol levels in both winter and summer (P <0.001). This study highlights the importance of considering the influence of earlier sunrise on circadian rhythm, cortisol secretion and sampling protocols. Recognising the impact of earlier sunrise on cortisol secretion and adapting sampling protocols accordingly to align with the local sunrise can provide a more accurate assessment of basal cortisol levels and help avoid potential misinterpretation and diagnostic challenges associated with low values.

ANALYSIS OF AFLATOXIN B1, B2, G1, G2 LEVELS IN FRIED ONIONS PRODUCED IN PALU USING HIGH PERFORMANCE LIQUID CHROMATOGRAPHY (HPLC) METHOD

Aflatoxin, produced by Aspergillus flavus and Aspergillus paraciticus, commonly contaminates agricultural and processed products. This study aims to analyze aflatoxin levels in fried onions produced in Palu through high-performance liquid chromatography (HPLC) using an immunoaffinity column an a fluorescent detector at an excitation wavelength of 360 nm and an emission wavelength of 440 nm. The standard working chromatogram of aflatoxin gave a peak response at retention times of 28.618 minutes for aflatoxin B1, 21.985 minutes for aflatoxin B2, 17.625 minutes for aflatoxinn G1, and 13.719 minutes for aflatoxin G2. The limit of detection (LOD) values for each standard were : aflatoxin B1 : 0.2607 ng/ml; aflatoxin B2 : 0.0600 ng/ml; aflatoxin G1 : 0.1986 ng/ml; and aflatoxin G2 : 0.0310 ng/ml. The chromatogram results of the 10 fried onion samples analyzed showed no peak response with the same retention time as the standard aflatoxin retention time, so that the 10 samples can be concluded as meet requirements.

Analisis Pemenuhan Standar Waktu Pembersihan Kamar Hotel terhadap Kinerja Room Attendant di Grand Praba Hotel Bandar Lampung

Room cleanliness is very important for a hotel. A common issue in hotels is room cleanliness, leading hotels to compete for employees who can clean rooms according to the standards set by the hotel, including time and results. The purpose of this research is to observe and analyze the performance of room attendants in preparing rooms. The type of research used is qualitative descriptive research. The data collection methods in this study include observation and interviews with 6 room attendants, as well as literature review and documentation. This research uses comparative analysis to compare the standard room cleaning time with the time achieved by room attendants in cleaning rooms. The average time spent by a room attendant in cleaning a room is 33.5 or 33 minutes and 5 seconds, while the standard time set by the hotel is 30 minutes. The results of this study indicate that the time achieved by room attendants in cleaning rooms does not meet the time standards set by the hotel. Room attendants must be able to manage their time so that all work can be completed on time and cleanliness standards are maintained.

Predictive significance of intraprostatic volumetric parameters derived from early and standard time 68Ga-PSMA PET/CT images in newly diagnosed prostate cancer patients.

To investigate the relationship between intraprostatic 68Ga-prostate-specific membrane antigen (PSMA) uptake values and volumetric parameters derived from early pelvic and standard-time whole-body 68Ga-PSMA PET/computed tomography (CT) images in untreated prostate cancer (PCa) patients, and to assess the predictive significance of these data in relation to disease prognosis, comparing them with the Gleason score, clinical risk classification and the presence of metastatic disease detected in 68Ga-PSMA PET/CT imaging. Eighty-one newly diagnosed PCa patients underwent early phase pelvic imaging at the 5th minute and standard time whole-body imaging at the 60th minute. Various threshold values were used in intraprostatic delineations to compute maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), intraprostatic PSMA tumor volume and intraprostatic total lesion PSMA uptake. Correlations between early and standard time measurements, as well as changes in SUV parameters over time, were examined. The association of these values with Gleason score, clinical risk status (National Comprehensive Cancer Network), and metastatic disease was explored. SUVmax measurements from both early and standard time images distinguished all three groups (clinical risk scores, Gleason score and metastatic group), with standard imaging demonstrating statistical superiority in receiver operating characteristic analyses. Strong correlations were observed between early and standard-time PET parameters. Changes in intraprostatic SUVmax and SUVmean values over time did not exhibit predictive value. Although intraprostatic PSMA PET parameters generally aligned at both early and standard times, parameters obtained from standard time images showed more robust correlations with clinical risk scores, Gleason score and metastasis status in newly diagnosed, untreated PCa patients.

Implementasi Metode Single Minute Exchange of Dies Untuk Optimasi Setting Time Mesin Flexo B1 Grup C Pada Carton Box Departement PT. A

PT. A is a company engaged in the production and sale of paper, cardboard boxes, and other similar products in Indonesia. The products it offers include paper, tissue, packaging, and other products. The Carton Box Department, from the results of observations made, the average actual setting time on the Flexo B1 Group C machine is 47 minutes/order, this is one of the weaknesses that causes a 32-minute gap from the target set by the company which is 15 minutes/order. The research objectives are to analyze, improve, and obtain improved setting time results on the Flexo B1 Group C machine and the production process time carried out. The SMED (Single Minute Exchange of Dies) method is one approach that can be pursued in improving setting time. The influence of the SMED (Single Minute Exchange of Dies) method in optimizing the setting time of the Flexo B1 Group C machine results in a decrease in setting time with a setup duration of 49.11 minutes, normal time of 59 minutes, and standard time 66 minutes to a setup duration 25.36 minutes, normal time 27 minutes and standard time 34 minutes and the percentage obtained is 51.8%. Keywords: Lean Manufacturing, Productivity, Single Minute Exchange of Dies

Collaborative Professional Development on Authentic Science May Reduce Barriers to Implementation in High School Classrooms

Teachers face challenges implementing authentic high school science lessons, particularly around inquiry practices and contemporary context. We created a collaborative curriculum design workshop to integrate authentic science activities on local invasive species into their classrooms while supplementing content knowledge via field trips to research sites and invasive species infestations. 36 teachers attended then implemented lessons they revised at the workshop in their classrooms. After implementation, we interviewed participants about barriers to lesson implementation. Teachers reported barriers of standardized testing, district mandates, time, and collaboration with other educators, all identified in previous literature. We also identified physical proximity as a barrier. Following professional development, several of the barriers were reduced or expected to be reduced for implementation of authentic science lessons, including collaboration, time, and physical proximity. We demonstrate the power of authentic science practice-based teacher professional development workshops that emphasize collaborative planning time for teachers while incorporating content presentations, in line with recommendations for teacher professional development writ large. We recommend collaborative professional development designs bringing together personnel from the same job site or district as well as from different districts while partnering with universities to retain university campus features such as access to active, authentic research sites.

Improving Medication Management for Inpatients with a Secondary Diagnosis of Parkinson Disease.

Patients who have Parkinson disease require individualized medication regimens to optimize care. A review of the medication management of patients admitted to a tertiary care hospital with a secondary diagnosis of Parkinson disease found significant departures from the patients' home regimen. Medication regimens are often altered by health care teams unfamiliar with Parkinson disease-specific care in order to conform to standard hospital medication orders and administration times, potentially resulting in increased patient falls, delirium, and mortality.A nurse-led multidisciplinary team consisting of pharmacy, nursing, informatics, neurology, and quality personnel implemented a quality improvement (QI) project between July 2020 and July 2022 to identify patients with Parkinson disease, including those with a secondary diagnosis and those undergoing deep brain stimulation, and customize medication management in order to reduce length of stay, mortality, falls, falls with harm, and 30-day readmissions. The QI project team also evaluated patient satisfaction with medication management.Among patients with a secondary diagnosis of Parkinson disease, the proportion who had medication histories conducted by a pharmacy staff member increased from a baseline of 53% to more than 75% per month. For all patients with Parkinson disease, those whose medication history was taken by a pharmacy staff member had orders matching their home regimen 89% of the time, whereas those who did not had orders matching the home regimen only 40% of the time. Among patients with a secondary diagnosis of Parkinson disease, the length-of-stay index decreased from a baseline of 1 to 0.94 and observed-to-expected mortality decreased from 1.03 to 0.78. The proportion of patients experiencing a fall decreased from an average of 5% to 4.08% per quarter, while the proportion of patients experiencing a fall with harm decreased from an average of 1% to 0.75% per quarter. The rate of 30-day readmissions decreased from 10.81% to 4.53% per quarter. Patient satisfaction scores were 1.95 points higher for patients who had medication histories taken by pharmacy than for those who did not (5 versus 3.05).

Rancang Bangun Mesin Pengayak Terasi Bubuk Guna Meningkatkan Output Produksi dengan Pendekatan Antropometri

Increased consumer demand makes UMKM H.J Irin experience obstacles that are quite influential on production process activities. In this study, an ergonomic sieving machine design with anthropometric methods was carried out with the aim of helping the sieving process to be faster and increase productivity. Anthropometry is a method used to determine the size that is in accordance with anthropometric data obtained from the measurement of the worker's body. This research uses the time study method by making direct observations recording normal time and standard time. From the results of data processing that has been carried out from the anthropometric results of workers, the dimensions of the machine are obtained at a machine height of 82 cm, a machine width of 50 cm, and a machine reach of 67 cm. The increase that occurs in the sieving process is obtained an increase in productivity that occurs by 1.40%, with details of the productivity of manual sieving tools of 14% and after the design of the machine as much as 15.40%.

On the learning trajectory of directional biases in reading: Evidence from the flankers task

AbstractPrior research with adult participants reported a rightward bias in the reading version of the flankers task. Here, we investigated how this bias evolves as a function of reading expertise. We tested two groups of French primary school children from Cycle 2 (grades 1 and 2) and Cycle 3 (grades 4 and 5) and one group of adult participants. In the related flanker conditions, the central target word was flanked by the same word either on the left (park park ####), the right (#### park park), or on both sides (park park park). In the unrelated conditions, the repeated flanker words were replaced by a different unrelated word. In the analysis of standardized reaction times (RTs), there was a three-way interaction between the three groups of participants and the impact of flanker relatedness as a function of the position of the related flankers. This three-way interaction reflected the significantly greater increase in effects of flanker relatedness between Cycle 2 and Cycle 3 for the bilateral flanker and the right flanker conditions compared with the left flanker condition. This suggests that the rightward bias is driven by attentional asymmetries that develop during the process of learning to read.

Thermal Characterization and Preclinical Feasibility Verification of an Accessible, Carbon Dioxide-Based Cryotherapy System.

To investigate the potential of an affordable cryotherapy device for the accessible treatment of breast cancer, the performance of a novel carbon dioxide-based device was evaluated through both benchtop testing and an in vivo canine model. This novel device was quantitatively compared to a commercial device that utilizes argon gas as the cryogen. The thermal behavior of each device was characterized through calorimetry and by measuring the temperature profiles of iceballs generated in tissue phantoms. A 45 min treatment in a tissue phantom from the carbon dioxide device produced a 1.67 ± 0.06 cm diameter lethal isotherm that was equivalent to a 7 min treatment from the commercial argon-based device, which produced a 1.53 ± 0.15 cm diameter lethal isotherm. An in vivo treatment was performed with the carbon dioxide-based device in one spontaneously occurring canine mammary mass with two standard 10 min freezes. Following cryotherapy, this mass was surgically resected and analyzed for necrosis margins via histopathology. The histopathology margin of necrosis from the in vivo treatment with the carbon dioxide device at 14 days post-cryoablation was 1.57 cm. While carbon dioxide gas has historically been considered an impractical cryogen due to its low working pressure and high boiling point, this study shows that carbon dioxide-based cryotherapy may be equivalent to conventional argon-based cryotherapy in size of the ablation zone in a standard treatment time. The feasibility of the carbon dioxide device demonstrated in this study is an important step towards bringing accessible breast cancer treatment to women in low-resource settings.

Data-based modelling of arrays of wave energy systems: Experimental tests, models, and validation

One of the key steps towards economic feasibility of wave energy conversion technology concerns scaling up to farms of multiple devices, in the attempt to reduce installation costs by sharing infrastructure, and a consequent drop in levelised cost of energy. Moreover, whenever wave energy systems are deployed in proximity (in so-called arrays), the exploitation of the hydrodynamic interactions between single devices is fully enabled, potentially increasing the final energy outcome. To achieve this in real (operational) time, the employed energy-maximising control strategies require control-oriented array models, able to efficiently describe the dynamics of these interconnected systems in a representative fashion. This can be, nonetheless, a difficult task when considering first principles alone, under small motion assumptions, for modelling purposes. Recognising the uncertainty associated to array numerical models obtained from the linearisation of simplified system equations around their equilibria, this paper presents models of several array configurations identified following a frequency domain approach on the basis of experimental data. Tailored tests on laboratory-scale devices have been designed and conducted in the Aalborg University (Denmark) wave tank facility, with the purpose of performing representative system identification of the wave energy systems arrays. The obtained models are validated on different representative sea states configurations, in controlled and uncontrolled motion operational conditions. The validation results are fully discussed and analysed in terms of standard error measures and time lag, while the obtained models are made freely accessible via a linked repository (named OCEAN), in the attempt to openly provide validated models for different array configurations.

Quasi-Stochastic Departure Metering Model Considering Non-Deterministic Taxi Time, Standard Instrument Departure Track Time, and a New Delay–Conflict Relationship

This paper presents a quasi-stochastic mixed integer programming model to determine the optimal flight departure schedule and sequence at airports. The proposed formulation addresses two key gaps in the existing departure metering strategies: (i) the variability and effects of the standard instrument departure (SID) procedure and (ii) the prospect of en route conflicts because of departure delays. The variability and effects of the SID procedure are captured through a non-deterministic parameter defined as the SID track time. The probability of en route conflicts because of departure delay is estimated based on a new delay–conflict relationship. Data used for implementation and validation of the model was collected from operations on Runway 7 of Chennai International Airport, India. Overall results indicate that the proposed departure metering model can act as a pre-emptive departure delay strategy framework that takes care of the SID procedure and en route conflict possibility with no harm to the runway throughput. The implications of this work hint toward better management of the airport operations and the performance of the overall air traffic management system.

Real-world university course timetabling at the International Timetabling Competition 2019

AbstractThe paper discusses the organization of the International Timetabling Competition (ITC 2019), which intends to motivate further research on complex university course timetabling problems coming from practice. Thanks to the UniTime timetabling system, we have collected a strong set of benchmark instances with diverse characteristics for the competition. The key novelty lies in the combination of student sectioning with standard time and room assignment of particular course events. The paper analyzes the real-world course timetabling problems present in the competition. The characteristics of thirty competition instances are described together with their representative features, which are discussed institution by institution. The existing solvers are described and compared based on their competition, current, and time-limited results whenever available. As of October 2023, the competition website has about 490 registered users from 66 countries worldwide and is kept up to date with new results.

An International, Multidisciplinary Consensus Set of Patient-Centered Outcome Measures for Substance-Related and Addictive Disorders.

Background: In 1990, the United States' Institute of Medicine promoted the principles of outcomes monitoring in the alcohol and other drugs treatment field to improve the evidence synthesis and quality of research. While various national outcome measures have been developed and employed, no global consensus on standard measurement has been agreed for addiction. It is thus timely to build an international consensus. Convened by the International Consortium for Health Outcomes Measurement (ICHOM), an international, multi-disciplinary working group reviewed the existing literature and reached consensus for a globally applicable minimum set of outcome measures for people who seek treatment for addiction. Methods: To this end, 26 addiction experts from 11 countries and 5 continents, including people with lived experience (n = 5; 19%), convened over 16 months (December 2018-March 2020) to develop recommendations for a minimum set of outcome measures. A structured, consensus-building, modified Delphi process was employed. Evidence-based proposals for the minimum set of measures were generated and discussed across eight videoconferences and in a subsequent structured online consultation. The resulting set was reviewed by 123 professionals and 34 people with lived experience internationally. Results: The final consensus-based recommendation includes alcohol, substance, and tobacco use disorders, as well as gambling and gaming disorders in people aged 12 years and older. Recommended outcome domains are frequency and quantity of addictive disorders, symptom burden, health-related quality of life, global functioning, psychosocial functioning, and overall physical and mental health and wellbeing. Standard case-mix (moderator) variables and measurement time points are also recommended. Conclusions: Use of consistent and meaningful outcome measurement facilitates carer-patient relations, shared decision-making, service improvement, benchmarking, and evidence synthesis for the evaluation of addiction treatment services and the dissemination of best practices. The consensus set of recommended outcomes is freely available for adoption in healthcare settings globally.

Benefit-Harm Analysis of Earlier Initiation of Triple Therapy for Prevention of Acute Exacerbation in Patients with Chronic Obstructive Pulmonary Disease.

Rationale: Reducing the risk of exacerbation is a fundamental goal in managing stable chronic obstructive pulmonary disease (COPD). Guidelines recommend triple therapy (inhaled corticosteroids, long-acting muscarinic antagonists, and long-acting β-agonists) only as a stepup from dual therapy (long-acting muscarinic antagonists and long-acting β-agonists) for patients at continued high risk of exacerbation, because of the trade-off of an increased risk of pneumonia associated with inhaled corticosteroid-containing therapies. However, there is little evidence on the optimum timing of initiating triple therapy. Objectives: To perform a benefit-harm analysis to evaluate the net benefit of earlier initiation of triple therapy for the prevention of acute exacerbations in patients with COPD compared with standard timing recommended in current guidelines. Methods: We used a validated whole-disease microsimulation model of COPD in the Canadian general population aged ⩾40 years to determine the benefit versus harm of earlier initiation of triple therapy over a 20-year time horizon compared with standard care. We assessed net change in quality-adjusted life-years (QALYs) from the reduction in risk of acute exacerbations and the increased risk of treatment-related pneumonia in subgroups of patients with COPD defined by exacerbation history, symptoms, and disease severity. Model parameters were determined from clinical trials and other published literature. Key parameters were varied in one-way sensitivity analysis. Results: In patients at high risk of acute exacerbation (54.7% female; mean age, 74.0 yr; 68% Global Initiative for Chronic Obstructive Lung Disease grades I and II), earlier initiation of triple therapy was associated with a net QALY gain of 4.8 per 100 patients with COPD over 20 years compared with standard care. The net QALY gain increased to 5.9 per 100 patients in the subgroup of patients with a high symptom burden (modified Medical Research Council dyspnea scale score, >1). Earlier initiation remained net beneficial in all subgroup and sensitivity analysis scenarios. Conclusions: Modeling suggests that earlier initiation of triple therapy is likely to be net beneficial for patients at high risk of acute exacerbation, with an even greater benefit to patients with a high symptom burden. Further clinical research is needed to verify these findings in empirical studies.