Time Schedule Research Articles

Bus Schedule Time Prediction Based on LSTM-SVR Model

With the acceleration of urbanization, urban bus scheduling systems are facing unprecedented challenges. Traditional bus scheduling provides the original schedule time and the planned time of arrival at the destination, where the schedule time is the departure time of the bus. However, various factors encountered during the drive result in significant differences in the driving time of the bus. To ensure timely arrivals, the bus scheduling system has to rely on manual adjustments to optimize the schedule time to determine the actual departure time. In order to reduce the scheduling cost and align the schedule time closer to the actual departure time, this paper proposes a dynamic scheduling model, LSTM-SVR, which leverages the advantages of LSTM in capturing the time series features and the ability of SVR in dealing with nonlinear problems, especially its generalization ability in small datasets. Firstly, LSTM is used to efficiently capture features of multidimensional time series data and convert them into one-dimensional effective feature outputs. Secondly, SVR is used to train the nonlinear relationship between these one-dimensional features and the target variables. Thirdly, the one-dimensional time series features extracted from the test set are put into the generated nonlinear model for prediction to obtain the predicted schedule time. Finally, we validate the model using real data from an urban bus scheduling system. The experimental results show that the proposed hybrid LSTM-SVR model outperforms LSTM-BOA, SVR-BOA, and BiLSTM-SOA models in the accuracy of predicting bus schedule time, thus confirming the effectiveness and superior prediction performance of the model.

학교 축제와 연계한 중학교 학교자율시간 운영 방안의 시론적 탐색: 핵심프로젝트를 중심으로

Objectives This study explored a plan to operate a school festival that links core-projects of each subject in the 16+1 autonomous school hours system in middle school through the subject of ‘Planning a School Festival’. Methods We analyzed literature and previous studies on the organization and operation of school autonomous hours, cases of operating middle and high school festivals, and cases of operating domestic and international core-projects. Based on this, we examined the relationship between school festivals and core-projects in school autonomous hours, and discussed ways to operate school autonomous hours linked to school festivals. Results Firstly, the class schedule of school autonomous time linked to school festivals can be operated as a festival for the entire week or only part of the week. Secondly, a new subject called ‘Planning a School Festival’ can be opened in school autonomous time. Thirdly, the core project of school autonomous time linked to school festivals can be operated in various ways by subject. Conclusions Firstly, it provides a convergent educational experience. Secondly, cooperation and creativity are strengthened. Thirdly, connections with the local community are strengthened. Fourthly, various learning topics and activities are integrated.

Traffic Awareness-Based Target Wake Time Scheduling in 802.11ax WLANs

In recent years, the rapid growth of mobile communication has led to the continuous expansion of network scale, and the energy consumption of wireless communication has also increased rapidly. Under the high-density networking conditions, frequent communication activities greatly increase the energy consumption. In order to reduce channel competition, optimize resource scheduling and reduce equipment power consumption, the target wake-up time (TWT) mechanism in IEEE 802.11ax system plays an important role through timely scheduling and transmission. To improve channel efficiency for multi-user (MU) transmission and tackle with complicated traffic conditions, this paper presents a traffic awareness-based TWT scheduling scheme (TAT). The traffic is predicted and classified using a spatio-temporal series model for traffic-based TWT parameter generation. Subsequently, the time–frequency scheduling table is developed to adaptively assign Resource Units (RUs) and time slices to active STAs. Simulation results show that TAT can guarantee the Quality of Service (QoS) under dynamic changes in power service and delay requirements while reducing power consumption, effectively meeting the energy-saving demands in the intelligent access scenarios for power terminals.

HPB SO65 - An audit of the day-case rate of laparoscopic cholecystectomies at a busy district general hospital and factors affecting this

Abstract Background The target day case rate of laparoscopic cholecystectomies at a busy district general hospital is 75%, as per Model Hospital Guidelines. The current rate at which day cases are achieved is 55%. This audit aims to identify factors relating to the DGH not reaching their day case target and explore potential solutions for these, with the intention to reduce patient’s hospital stay and, therefore, overall costs. Method 119 patients had undergone a laparoscopic cholecystectomy in the first five months of 2024. Exclusion criteria included hot cholecystectomies, common bile duct explorations and planned admissions. The remaining 85 patients were included in this audit. The data proforma included age, ASA, BMI, co-morbidities, Nassar grade, scheduled and actual time of operation and any reasons for delay. Results Of the 85 patients included in this audit, 34% (29) were not daycases. 11 remained an inpatient due to post-operative nausea or pain, 3 due to requiring an MRCP, 9 were kept in for monitoring, 2 had intraoperative bleeding, 3 had social issues and 1 required IV antibiotics. 58% of the 29 had afternoon operations. 48% of the 29 had a Nassar grade of greater than 1. 38% of the 29 had a BMI greater than 30. Conclusion Various reasons for a case to not achieve daycase status were found, with the most common being post-operative pain or nausea. It would prove beneficial to educate patients on common post-operative symptoms and focus on managing these symptoms effectively. Pre-operative appointments should aim to explore a patients home setting at the time of the operation and ensure to book inpatient stays for those who require it, in advance. Theatre lists should be optimised by giving high-risk patients morning slots.

What's the Cost: Financial Toxicity and Screening Fatigue in Li-Fraumeni Syndrome.

Patients with Li-Fraumeni syndrome are recommended to follow a comprehensive surveillance protocol, but the demanding nature may limit adherence. We sought to identify barriers to adherence, and to determine whether screening fatigue and financial hardship are contributors. A 39-item online survey was developed and distributed to patients presenting to a LFS clinic between 2017 and 2022. Of the 39 patients eligible, 20 responded to the survey (51%). Of respondents, 75% reported they do not skip surveillance tests, though this was not consistent when asked about specific tests, with only 65% and 40% up to date with colonoscopy and esophagogastroduodenoscopy, respectively. 100% of those diagnosed within the last 5 years said they never skip tests, whereas only 50% of those diagnosed over 5 years ago reported the same (p=0.01). Barriers to adherence were reported by 85% and most commonly included finances (40%), time (25%), and difficulty scheduling (25%). Only 21% felt no financial stress. 63% worried at least somewhat about their future financial situation because of LFS. Even with insurance, 65% felt their share of healthcare costs was too high. Adherence to rigorous cancer surveillance is imperfect and decreases over time among patients with LFS. While number of tests was not a commonly cited barrier, time and difficulty scheduling were common and may contribute to screening fatigue. The degree of financial stress in the affluent population studied should raise even greater concern about financial strain in the LFS population in general.

Unlimited Employee Autonomy over Working Time? The Potentially Empty Notion of Autonomous Workers in EU law

Digital technology is often associated with greater working time autonomy: in theory at least, digitalisation can result in workplaces where employees are less subordinate to their employers in terms of working time. Article 17(1) of Directive 2003/88/EC on certain aspects of the organisation of working time acknowledges that certain working time measures do not apply in case of ‘autonomous workers’. However, the Court of Justice of the European Union has interpreted this exception strictly, excluding from its scope workers who enjoy only partial autonomy over their working time. The aim of this study is to explore whether the EU concept of autonomous worker meets practical requirements or needs to be amended. In section 2, I argue for a more permissive interpretation, as a predominantly autonomous schedule could still justify some flexibility as regards working time rules. This interpretation would also better fit the dual system of subordinated employees and self-employed workers who enjoy more flexibility in the determination of the working hours. Under section 3, the article explores the various methods that employers use to maintain control over the organisation of working time in non-standard work environments. Research shows that the combination of different controlling measures can ensure that employers have a decisive influence over the measure and schedule of working time, even in nominally flexible working arrangements. Consequently, while a broader understanding of the concept of autonomous workers is suggested, it shall be carefully assessed in each case whether the worker actually enjoys autonomy in respect of working time.

Implementation of a Mobile-Based Laundry Order Management System at Barack Laundry in Sleman

Barack Laundry is a laundry service business operating in Trini Sleman, a district in the Special Region of Yogyakarta. Laundry is an important household necessity, and many people are looking for trustworthy laundry service. Customer demand for laundry services continues to increase along with increasingly busy lifestyles. Although Barack Laundry's services continue to grow, there are still some problems faced by customers in the Trini Sleman area. One of the main problems is the lack of accessibility of information regarding service schedules, laundry status, and estimated costs. It is necessary to develop a mobile-based Barack Laundry application in Trini Sleman to overcome the problems that exist in Barack Laundry. The purpose of designing this mobile-based Barack Laundry application is to facilitate laundry management and customers so as to increase efficiency in the clothing ordering process. Apps can also extend the reach of laundry services to make them more accessible to customers. Features available on the app include a selection of clothing types and services with options such as washing, ironing, and both. The app also provides detailed booking information, scheduling of pick-up and drop-off times, and the option of online payment methods. The user-centered design method is used in this research by focusing on user needs. Kotlin programming language and MySQL database are also used in the process of developing this application. Based on the results of the research that has been done, it can be concluded that the mobile-based Barack Laundry application in Trini Sleman has successfully designed and implemented a mobile-based application for laundry ordering services in the region. This application has been carried out a black box testing process that has been carried out as many as 19 scenarios, with the final test results reaching 100%.

IMPLEMENTASI SENAYAN LIBRARY MANAGEMENT SYSTEM (SLIMS): STUDI PENELITIAN KUALITATIF

The aim of the research is to analyze the implementation of the Senayan Library Management System (SLiMS) at Madrasah Aliyah Negeri (Man) 2 Karawang. The method used is a qualitative method with a case study approach model and literature study in this research. The data collection used is the documentation method. The data sources for this research were obtained from relevant literature such as books, academic articles and journals related to the selected topic. The results of this research are the SLiMS planning, the Principal of MAN 2 Karawang makes a time schedule, namely in the form of programs that will be planned. Such as short-term programs, medium-term programs and long-term programs. Then in the recruitment system, staff are selected according to their skills, abilities, knowledge and strong will. The implementation of the Senayan Library Management System (SLiMS) activities at the MAN 2 Karawang library has been quite effective. Since 2019 MAN 2 Karawang has been using SLiMS in library services until now. Started making barcodes for two thousand curtilage books which were revised in 2017.

Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach

Recommending routes by their probability of having a rider has long been the goal of conventional route recommendation systems. While this maximizes the platform-specific criteria of efficiency, it results in sub-optimal outcomes with the disparity among the income of drivers who work for similar time frames. Pioneer studies on fairness in ridesharing platforms have focused on algorithms that match drivers and riders. However, these studies do not consider the time schedules of different riders sharing a ride in the ridesharing mode. To overcome this shortcoming, we present the first route recommendation system for ridesharing networks that explicitly considers fairness as an evaluation criterion. In particular, we design a routing mechanism that reduces the inequality among drivers and provides them with routes that have a similar probability of finding riders over a period of time. However, while optimizing fairness the efficiency of the platform should not be affected as both of these goals are important for the long-term sustainability of the system. In order to jointly optimize fairness and efficiency we consider repositioning drivers with low income to the areas that have a higher probability of finding riders in future. While applying driver repositioning, we design a future-aware policy and allocate the areas to the drivers considering the destination of requests in the corresponding area. Extensive simulations on real-world datasets of Washington DC and New York demonstrate superior performance by our proposed system in comparison to the existing baselines.

THE RELATIONSHIP BETWEEN ONLINE GAME ADDICTION WITH STUDENT LEARNING MOTIVATION AT SMPI MIFTAHUL JANNAH AND MTS NAHDLATUL NASYIIN IV PASANGGAR PEGANTENAN PAMEKASAN

Background: Rapid technological advances can change various aspects of everyday life, such as online gaming. Playing online games can foster curiosity and attract interest, and can even cause addiction that interferes with learning motivation. Objectives: This research aims to understand the correlation between addiction to playing online games and students' learning motivation at SMPI Miftahul Jannah and MTS Nahdlatul Nasyiin IV Pasanggar Pegantenan Pamekasan. Design: This research adopted a quantitative approach with correlational analysis methods and cross-sectional research, involving 60 students from SMPI Miftahul Jannah and MTS Nahdlatul Nasyiin IV using purposive sampling techniques. The data collection tool consists of questionnaires and data analysis is conducted using Spearman's rank correlation test. Results: This research found that the majority of respondents were addicted to playing online games at a high level, namely 37 respondents (61.7%). Meanwhile, most respondents had low-level learning motivation, and 37 respondents (61.7%). From the results of the Spearman Rank Test, a significant value of 0.000 (p < 0.05) was found with a correlation coefficient of -0.666, indicating a strong negative relationship between Addiction to Playing Online Games and Learning Motivation in students at SMPI Miftahul Jannah and MTS Nahdlatul Nasyiin IV in Pasangggar Pegantenan Pamekasan. Conclusion: Time management, schedules, supervision, family support, and healthy substitute activities are needed as a solution.

Heterogeneous system list scheduling algorithm based on improved optimistic cost matrix

In heterogeneous computing systems, efficient task-scheduling methods are paramount for enhancing computational performance. However, the existing algorithm exhibits certain deficiencies, notably its oversight of load balancing concerns and inadequate emphasis on the out-degree property of tasks. To address these issues, a novel list scheduling algorithm is proposed, Average Earliest Finish Time (AEFT), which proficiently allocates task flows onto heterogeneous processors. The AEFT algorithm primarily consists of two key stages: (1) prioritizing tasks to determine the distribution of task priorities and (2) assigning optimal processors for tasks with given priorities. By leveraging its specific topology, the AEFT algorithm minimizes the scheduling length of task flows. Simultaneously, a prediction mechanism in determining task prioritization and selecting processors stages is proposed to reduce the scheduling time of task flows. In addition, in the processor selection stage, AEFT algorithm considers the out-degree characteristics of tasks, ameliorating situations of processor load imbalance. The AEFT algorithm demonstrates superior performance compared to prior list scheduling algorithms concerning makespan, speedup, and the percentage of occurrences of better solutions, as evidenced by experiments conducted on randomly generated and real-application graphs. Specifically, for t tasks and p processors, the AEFT algorithm achieves a time complexity of O(t2p).

Optimization and Application Analysis of the UAV "Last Mile" Mobile Terminal Distribution Station in Rural Area under the Background of E-Commerce

With the booming demands of global consumers, the grand total of international e-commercial procurement in 2024 will be expected to exceed 6.3 trillion USD. Under the pressure of huge orders and shipping lag, figuring out a cost-effective last mile delivery achieving real door-to-door service, especially in rural areas, has become one of the focuses in the international e-commercial market. To better solve this problem, this paper starts with the analysis of international e-commercial status and the feasibility of UAV mobile terminal station launch, taking good account of drone delivery route setting, time schedule, and costs spent to optimize the mobile station moving. Based on a series of experiments to iterate the Unmanned Aerial Vehicle (UAV) mobile terminal station delivery mode, it will provide some insights to the market about how the last mile delivery will develop in the next decade. This paper will focus on applying the hybrid ant colony algorithm to improve truck-drone collaborative last mile delivery route settings and figure out the best delivery route combo for cost saving.

Analisis Manajemen Konstruksi Pada Pembangunan Ruas Jalan Rate-Rate Dalam Kota

Road infrastructure development is an important factor in supporting economic growth and community mobility in urban areas. However, road construction in urban areas is often faced with various challenges, such as limited space, population density and the dynamics of community activities. This requires effective and efficient construction management to ensure the smoothness and success of the project. The aim of this research is to find out how cost calculations are carried out using AHSP and also to find out how to carry out and time schedule construction work for inner city lane roads. The method for implementing the construction of lane roads in the city is in the form of asphalting roads with a length of 3.06 KM and a duration of 90 days. The budget plan for building a 3.6 KM inner-city toll road is IDR. 10,428,920,000.

Programmable Lipid Bilayer Tension-Control Apparatus for Quantitative Mechanobiology.

The biological membrane is not just a platform for information processing but also a field of mechanics. The lipid bilayer that constitutes the membrane is an elastic body, generating stress upon deformation, while the membrane protein embedded therein deforms the bilayer through structural changes. Among membrane-protein interplays, various channel species act as tension-current converters for signal transduction, serving as elementary processes in mechanobiology. However, in situ studies in chaotically complex cell membranes are challenging, and characterizing the tension dependency of mechanosensitive channels remains semiquantitative owing to technical limitations. Here, we developed a programmable membrane tension-control apparatus on a lipid bilayer system. This synthetic membrane system [contact bubble bilayer (CBB)] uses pressure to drive bilayer tension changes via the Young-Laplace principle, whereas absolute bilayer tension is monitored in real-time through image analysis of the bubble geometry via the Young principle. Consequently, the mechanical nature of the system permits the implementation of closed-loop feedback control of bilayer tension (tension-clamp CBB), maintaining a constant tension for minutes and allowing stepwise tension changes within a hundred milliseconds in the tension range of 0.8 to 15 mN·m-1. We verified the system performance by examining the single-channel behavior of tension-dependent KcsA and TREK-1 potassium channels under scheduled tension time courses prescribed via visual interfaces. The result revealed steady-state activity and dynamic responses to the step tension changes, which are essential to the biophysical characterization of the channels. The apparatus explores a frontier for quantitative mechanobiology studies and promotes the development of a tension-operating experimental robot.

A participatory lens to enhance collaborative learning among university students in rural South Africa

Collaborative learning has been recognised as a highly effective approach to enhancing critical thinking, problem-solving, and overall academic performance. However, rural university students face unique challenges that may hinder their participation and engagement in collaborative learning activities. This gap may subsequently affect their learning effectiveness, leading to poor academic performance. Therefore, this study explores the challenges faced by rurally located university students in collaborative learning and strategies to enhance their participation. The study is underpinned by social learning theory and framed within a transformative paradigm using a qualitative research approach. Participatory Research was employed as a research design to provide inclusive opportunities for participants to be actively involved in the process of finding solutions to their problems. Focus group discussions were conducted to elicit information from 10 randomly selected rural university students enrolled in a particular module at a selected university in the Eastern Cape province. Thematic analysis was utilised to analyse the data. The results indicate that the main challenges faced by rural university students in collaborative learning include limited access to resources and technology, conflicting time schedules, and the unavailability of students. In contrast, providing adequate access to resources and technology, along with social and institutional support, is essential for enhancing collaborative learning among students in rural universities. In conclusion, promoting collaborative learning among rural university students requires universities to invest in adequate resources, implement flexible learning schedules, and create supportive learning environments.

Influence of Communication Strategies on Organizational Performance: A Case of the Office of the Auditor General of State Finances in Rwanda

This research paper investigated the effect of communication strategies on organizational success. It specifically assessed the influence of participatory communication, result-based communication, and multi-channelled communication strategies on the success of the Office of Auditor General of state finances (OAG). The paper applied a descriptive and correlation design with a mixed approach. A sample size of 150 was drawn from a target of 248 workers who participated in various service deliveries in Rwanda. A stratified sampling method was adopted to select a representative group. Primary data was obtained utilizing questionnaire surveys and interviews. Data was analysed using both descriptive and inferential analysis with the aid of the statistical product and service solutions version 26.0. Results to the first objective felt that that 43.0% agreed with openness, 37.6% with dialogue and consultation, and 34.2% strongly agreed with shared decision-making. It revealed the significant correlation between dialogue and time schedules (r=.206; p-value=.000). To the second objective results show that 38.6% strongly agreed with the articulation of performance expectations and provision of performance feedback was agreed by 47.7%. The research felt that 40.9% agreed that the use of information in problem-solving applied during service delivery. Results demonstrated that the effect on the provision of performance feedback on cost efficiency, time schedules, and service quality, the study ascertained that the provision of performance feedback is statistically significant with cost efficiency (r=0.122*; p-value=0.035). Results to the third objective demonstrated that the number of channels used in delivering messages was used as strongly agreed by 35.2%. It has been shown that 36.9% agreed with the cohesiveness of multi-voiced messages (agree=36.9; strongly agree= 31.5). Results show a significant correlation between the cohesiveness and consistency of multi-voiced messages and time schedules (r=0.105, p-value=0.071). In conclusion, the study concludes that participatory communication is correlated with dialogue and time schedules, and results-driven communication is associated with feedback on cost efficiency, time schedules, and service quality, the study ascertained the provision of performance feedback. This study recommends that OAG human resources personnel should adopt effective communication strategies, to encourage the attainment of expected goals. The study suggested that further studies should gather data from workers, clients as well as stakeholders to enrich empirical literature.

Dose-escalation of second-line and first-line asciminib in chronic myeloid leukemia in chronic phase: the ASC2ESCALATE Phase IItrial.

Up to 40% of newly diagnosed patients with chronic myeloid leukemia in chronic phase (CML-CP) discontinue treatment by 5 years, primarily due to resistance or intolerance. Rates of resistance to second-line (2L) treatment are also high. Some patients with resistance respond with dose escalation of tyrosine kinase inhibitors (TKIs). Asciminib demonstrated safety and efficacy across a broad dosage range. ASC2ESCALATE is an ongoing, Phase II, multicenter, single-arm, dose-escalation study of asciminib in 2L and first-line treatment of CML-CP. The primary end point is major molecular response at 12months in 2L. Secondary end points include molecular responses at and by scheduled time points, survival, and safety. ASC2ESCALATE is the first study investigating asciminib in CML-CP following failure of one prior TKI.Clinical Trial Registration: NCT05384587 (ClinicalTrials.gov).

Monitoring experience of World Health Organization external monitor for Intensified Mission Indradhanush 5.0 vaccine drive in rural Cuddalore, Tamil Nadu

The Intensified Mission Indradhanush 5.0 (IMI 5.0) aimed to extend routine immunization services across India, with a focus on children up to 5 years old. Key objectives included boosting measles and rubella vaccination coverage. By September 30, 2023, over 34.6 million children and 6.5 million pregnant women had received vaccine doses nationally. The Surveillance Medical Officer (SMO) from WHO designated external monitors to oversee session sites and perform house-to-house monitoring. Monitoring took place from October 12-14, 2023, in three health blocks of Cuddalore District. Activities included observing two session sites per day (six total) and surveying 40 households per day (120 total). Separate checklists were provided for session site monitoring and house-to-house monitoring, as per WHO guidelines. All session sites adhered to the scheduled times and locations, with proper logistics. However, some lacked IEC materials for public awareness. House-to-house monitoring confirmed full vaccination coverage for under-five children, with no missed vaccinations identified. Recommendations were made to ANMs to have IEC material to enhance community participation. Monitoring of IMI 5.0 in Cuddalore District demonstrated strong adherence to guidelines and effective vaccination session implementation. House-to-house monitoring confirmed appropriate vaccination of under-five children, indicating successful outreach. Overall, this experience provided valuable insights into operational challenges and opportunities for improvement in future immunization campaigns.

Exponential stability and non-weighted L 2-gain analysis for switched neutral systems with unstable subsystems

Exponential stability and non-weighted L 2 -gain are studied for switched neutral systems with unstable subsystems. Initially, a time scheduling strategy is introduced to formulate switching-signal-based multiple discontinuous Lyapunov functions. Multiple discontinuous Lyapunov functions can be applied to each subsystem, thereby relaxing the limitations of traditional Lyapunov functions. Meanwhile, mode-dependent average dwell times are utilised to design fast and slow switching signals, ensuring stability in switched neutral systems where the switching between unstable and stable subsystems is arbitrary. Moreover, in the presence of external disturbances, the non-weighted L 2 -gain performance is discussed. Sufficient conditions are proposed to achieve the stability of switched neutral systems and non-weighted L 2 -gain performance using the linear matrix inequality method. The validity of this study is ultimately demonstrated through simulation examples.

Efficient energy management and cost optimization using multi-objective grey wolf optimization for EV charging/discharging in microgrid

The depletion of conventional energy sources coupled with the rising demand for electric vehicles (EVs) has significantly underscored the necessity for electric vehicle supply equipment (EVSE) with advanced energy supply management within microgrids. Effective energy management of EVs and EVSEs is imperative to satisfy EV owners and stabilize microgrids. This paper introduces multi-objective grey wolf optimization (MOGWO) to optimize EVSE and EV charging costs. MOGWO achieves substantial cost savings through dynamic pricing based on time of day, state-of-charge and hour-based scheduling which promotes off-peak charging thereby enhancing system efficiency and reducing costs. The algorithm also provides flexibility for trip interruptions and outperforms other optimization algorithms in minimizing EV charging/discharging costs by achieving reductions of up to ₹488 and obtaining average grid efficiency up to 76.41 % during charging and 87.41 % during discharging. Integrating Vehicle-to-Grid and Grid-to-Vehicle systems enhances microgrid resilience and delivers economic benefits to EV owners. The cost optimization for EV charging/discharging has been executed using MATLAB 2023a software to determine the most cost-effective charging paths by considering energy availability and grid conditions. The evolving sustainable energy landscape combined with MOGWO paves the way for smarter and more resilient microgrids in the era of electrified transportation.