Timetable Research Articles

The Influence of Using Smart Multiplication Table Learning Media (Takalintar) on the Learning Outcomes of Grade III Elementary School Students

Abstract. Teaching learning activities usually occur between teachers and students. Teachers as learning managers, play a role in creating a comfortable and conducive learning climate. Therefore, as a teacher, you must be able to choose and apply effective learning media to achieve learning goals and be able to attract student learning results. The purpose of this study is to determine the influence of the use of TAKALINTAR learning media on the learning outcomes of students in grade IIIA SD Inpres Kuanino 3. This type of research is quantitative research classified as Quasi Experimental research, using a pretest-posttest- control group design. The sampling technique uses a saturated sampling technique with a sample of 30 respondents. The instruments in this study used observation, test and documentation data. The data was analyzed by normality tests, homogeneity and hypothesis tests using t-tests. The results of this study showed that the average score of the pretest-posttest- of the experimental class and the pretest-posttest- of the control class using the t-test, the posttest of the experimental class and the control class was 84.67 > 75.00 with a difference of 1.98 and the pretest of the experimental class and the control class was 50.67 > 51.33. Further through hypothesis testing (Paired Sample T-test) shows that the value of sig. (2-tailed) t-test for Equality of Means of 0.000 < 0.05 means that H0 is rejected and Ha is accepted. The conclusion of this study is that there is a significant influence of the use of smart multiplication table (TAKALINTAR) media learning on the learning outcomes of grade IIIA students of SD Inpres Kuanino 3.

Factors Influencing Mastery of Multiplication Tables to Pupils in Selected Dodoma Primary Schools, Tanzania

Factors Influencing Mastery of Multiplication Tables to Pupils in Selected Dodoma Primary Schools, Tanzania

A-195 Combination of Lean Mindset, Robotics and Digitalization allowed us to manage a 2.5 times increase in workload in our central reference lab

Abstract Background Our Agilus Diagnostics, Gurugram, India is a Central Reference Laboratory and part of the pan-India network over 400 lab in India. Our Gurugram lab delivers 3,200 tubes in the serum work area in 17 hour operations daily and is ISO 15189 and CAP accredited.In Jan 2023, our lab started to support Govt PHC Program samples and our workload increased to 8000 tubes. This was a clear operational and clinical challenge for us with a 2.5 x jump in workload. To achieve this goal, a lean mindset with process improvement steps were to be applied required across the total testing process. This lean approach was supported by cobas ® Lab Automation systems managed by navify ® Lab Operations informatics automation solution. This poster explains our journey of planning, implementing, and delivering on our goal of predictable operational efficiency when faced with this challenge. Methods We took 4 major steps We redesigned lab processes using lean process improvement operational dashboards. This poster will show the metric we track which help eliminate waste in the system. We optimized our total lab automation solution with smart load balancing across cobas ® Pro integrated analyzers and staff friendly recursive workflow. Clear and strict use of off peak hours for maintenance and QC procedures and standardized predictable schedule of operation. This poster will share our time table with key milestones across the 24 hours We built on the Informatics solution using 5 layered Auto verification rules based decision framework. IQC, Systems Flags check, Sample Quality checks, Biological Reference check, custom Auto verification Range, Critical ranges Delta check Criteria, Clinical Correlation Rule are all part of the auto verification logic framework. Results We were able to deliver the following results.Lean process design led to 53% simplification. Number of process steps reduced to 29 from 62 steps across the total testing process. Total Lab Automation has helped improve 90 percentile production TAT by 46% from 250 mins to 135 mins Our 90 % TAT CV has significantly reduced making our production predictable. Over 17,500 results / day reported are subject to auto verification with 87 % of all results auto-verified and auto-approved. Not a single additional employee was added in the analytical or post analytical areas of the lab operations Conclusions Lean Mindset complemented by Total Laboratory Automation along with Decision Automation on an Informatics solution has enhanced lab performance in terms of TAT, Efficiency, and Staff Motivation. This poster will also demonstrate using incremental effectiveness analysis comparative data of key performance indicators, such predictability in production, and efficiency of workforce, senior staff time saved, before and after technology deployment. The challenge of increase in sample workload is real in India and this approach allows for a sustainable way to ensure patient impact with minimum burden on our workforce.

Tooth brushing time table media as an effort to increase the independence of brushing teeth in preschool children

Background: Based on the Basic Health Research in 2018, in Banten province, the population who have dental problems in the form of damaged teeth, cavities or pain in the 3 - 4 year old group with a percentage of 36.4% and the 3 - 4 year old group who do tooth brushing care with the correct time is only 1.1%. Therefore, it is necessary to provide dental health education to children using methods and learning media that are tailored to child development. One of the methods used is by monitoring toothbrushing using toothbrush time table media. Objective: analyzing toothbrush time table media as an effort to increase the independence of brushing teeth in preschool children Methods: This study used a quasi experiment with pretest and post test design, conducted on 77 students as respondents obtained using the total sampling technique. The type of data used is primary data, which is data obtained directly by measuring the level of children's tooth brushing independence. The instrument used was a tooth brushing independence checklist sheet. Results: The results of the study before and after using the toothbrush time table media on 77 respondents, with the category needing guidance as many as 64 students (83.1%), became excellent toothbrushing independence as many as 60 students (77.9%), and the mean of toothbrushing independence with the results of 47.9, namely the category needing guidance changed to 87.9 with an excellent category, with independence p-value of 0.001 (p <0.05). Conclusion: The tooth brushing time table media can increase the independence of tooth brushing in preschool children

Constructing renewable energy sphere for efficient search

In the field of renewable energy (RE), traditional methods for understanding, development, and education have heavily relied on 2D table formats for data retrieval and presentation. However, these formats suffer from inefficiency and an inability to fully capture the relationships between variables. In response to this challenge, Li et al. (2022) demonstrated that their therapeutic 3D sphere system significantly outperformed the therapeutic 2D table in query processing time. Furthermore, Shih et al. (2020) utilized a T-test to underscore the superiority of the TED Talks sphere over the TED Talks 2D table format website in terms of convenience, query processing efficiency, usefulness, and intuitiveness. Building upon this foundation, this study referenced and enhanced the work of Li et al. by introducing a three-dimensional spherical visualization model driven by cluster-based binary integer programming (BIP). This novel approach resulted in a 58% reduction in information retrieval time and achieved an impressive 86.4% user satisfaction rating. It is worth noting that compared to the previous Systematic Review and Synthesis (SRS), user satisfaction experienced a significant 19% improvement. This improvement enhances the search efficiency for RE information, thereby fostering public awareness and development of RE. Taking energy supply-demand balance sheets as an example, this study demonstrates that the spherical retrieval system (SRS) constructed by the visualization 3D spherical model resolves the issue of inefficient retrieval in 2D table formats, and the newly added functionality of highlighting objects on the spherical surface intuitively illustrates the one-to-many relationships between individual RE supply and demand. To optimize hardware and software performance, data mining techniques are employed to cluster supply data, reducing complexity, and improving optimization efficiency. The experiment is that testers search for the same targets and compared the proposed 3D SRS with the Taiwan Power Company (Taipower) 2D website in terms of retrieval speed and accuracy. The statistical results of the T-test indicate that the proposed 3D SRS is more effective and accurate than the Taipower 2D website. The research findings indicate: 1. The new 3D SRS reduces query time by 58%. 2. Adopting the k-means algorithm for clustering and batch optimization can transform from an initially infeasible solution to finding the optimal solution within 12 s. This method also reduces computer software and hardware costs, providing effective solutions for relevant applications. These technologies can be used for the education, promotion, publicity, and dissemination of RE.

САНДАРДЫ КӨБӨЙТҮҮНҮН АР КАНДАЙ ЫКМАЛАРЫ

Recently, younger students have been switching to multiplying numbers using a calculator, and some do not even know the multiplication table. Therefore, by showing students non-standard ways of multiplication, you can interest them in mathematics. This scientific article discusses ways to multiply numbers that are not considered in the school course. In particular, the Ferrol method, the method of multiplying numbers about 100, the Russian method of multiplying numbers, the method of Vasily Okoneshnikov, the method of multiplying two–digit numbers by 11, the method of Al-Khorezm, the Pythagorean square, the method of multiplying numbers by 22, 33.99 , the method of fast multiplication of numbers by 19, the Chinese method of multiplying numbers and were considered Specific examples are given. In conclusion, the following conclusion can be drawn: by showing students various methods of multiplication, it is possible to save students' time, while developing their logical thinking; it makes it easier to complete various tasks, and students' interest in the subject increases. It was concluded that by teaching fascinating ways of multiplying numbers and applying them in each lesson, it is possible to improve the quality of education and the level of knowledge of students.

Development and execution of a notification system for lectures in universities

The aim of this work is design and implementation of a lecture alert system for Computer Science Department which makes use of Short Message Service (SMS) to enable lecturers to know when they have lectures and also deliver the venue, department, day, date and time to their phones. The motivation for this work is due to the challenges of the consistence report of errors in the process of filling and allocating the lectures on the time table, lack of effective record system or database system to store the record of time table and clashes of lecture because one venue can be allocated to different lecturers at the same time. The methodology that will be employed in this study is the object-oriented analysis and design methodology (OOADM) which will make use of the following programming languages; JavaScript for controls and flexibility, PHP for effective linking and communication with the database machine, HTML for browser communicator, a database machine, MySQL, and macromedia flash (11.0) for the video output display. The expected result that will be obtained is to a design a conventional lecture alert system using Short Messaging Service (SMS), also to provide a new method of checking lectures using mobile phone short messaging service work and to alert students ahead of their lectures and inform them of the venue of the lecture.

Asynchronous calibration of a CT scanner for bone mineral density estimation: sources of error and correction.

The estimation of BMD with CT scans requires a calibration method, usually based on a phantom. In asynchronous calibration, the phantom is scanned separately from the patient. A standardized acquisition protocol must be used to avoid variations between patient and phantom. However, variations can still be induced, for example, by temporal fluctuations or patient characteristics. Based on the further use of 739 forensic and 111 clinical CT scans, this study uses the proximal femur BMD value ("total hip") to assess asynchronous calibration accuracy, using in-scan calibration as ground truth. It identifies the parameters affecting the calibration accuracy and quantifies their impact. For time interval and table height, the impact was measured by calibrating the CT scan twice (once using the phantom scan with closest acquisition parameters and once using a phantom scan with standard values) and comparing the calibration accuracy. For other parameters such as body weight, the impact was measured by computing a linear regression between parameter values and calibration accuracy. Finally, this study proposes correction methods to reduce the effect of these parameters and improve the calibration accuracy. The BMD error of the asynchronous calibration, using the phantom scan with the closest acquisition parameters, was -1.2 ± 1.7% for the forensic and - 1.6 ± 3.5% for the clinical dataset. Among the parameters studied, time interval and body weight were identified as the main sources of error for asynchronous calibration, followed by table height and reconstruction kernel. Based on these results, a correction method was proposed to improve the calibration accuracy.

Gauge fields and four interactions in the trigintaduonion spaces

The paper aims to apply the trigintaduonion spaces to explore the physical properties of four interactions simultaneously, including the electromagnetic fields, gravitational fields, weak nuclear fields, and strong nuclear fields. J. C. Maxwell first applied the algebra of quaternions to study the physical properties of electromagnetic fields. It inspired some subsequent scholars to introduce the quaternions, octonions, sedenions, and trigintaduonions to research the electromagnetic fields, gravitational fields, weak nuclear fields, strong nuclear fields, quantum mechanics, gauge fields, and curved spaces and so forth. The algebra of trigintaduonions is able to discuss the physical quantities of four interactions, including the field potential, field strength, field source, linear momentum, angular momentum, torque, and force. In the field theories described with the algebra of trigintaduonions, the weak nuclear field is composed of three types of fundamental fields. These three fundamental fields, related to weak nuclear fields, can describe the physical properties of weak nuclear fields collectively. This is consistent with the conclusion of the electroweak theory. Meanwhile the strong nuclear field consists of three types of fundamental fields. These three fundamental fields relevant to strong nuclear fields may investigate the physical properties of strong nuclear fields mutually. It is coincident with the deduction of quark theory. According to the properties of trigintaduonions, one can deduce the Yang‐Mills equation related to the gauge fields. It means that the electromagnetic field occupies a quaternion space. The gravitational field owns one different quaternion space. The weak nuclear fields occupy three mutually independent quaternion spaces. The properties of weak nuclear fields are different from those of electromagnetic fields or gravitational fields. According to the multiplication table of trigintaduonion spaces, the strong nuclear fields own three conjugate quaternion spaces independent of each other. These explorations further deepen the understanding of the physical properties of weak and strong nuclear fields.

Review some engineering methods to facilitate basic mathematical operations

The research reviews the most important engineering methods in basic mathematical calculations. In these methods, we will present several calculations, for example, the multiplication process and the division process between different quantities, to facilitate the arithmetic process for the primary and intermediate stages of school students. These methods are considered applied research to facilitate students’ memorization of multiplication and division tables.

The Effectiveness of Paradoxical Time Table Technique on Negative Automatic Thoughts, Cognitive Avoidance and Fear of Evaluating Others in People with Social Anxiety Disorder

Background: Social anxiety disorder is a psychological disorder characterized by constant fear and avoidance of social situations due to fear of evaluation. Objectives: The aim of the present study was to investigate the effectiveness of paradoxical time table technique on negative automatic thoughts, cognitive avoidance and fear of evaluating others in people with social anxiety disorder. Methods: The current research method was semi-experimental with a pre-test and post-test design with a control group. The statistical population of the research included all people with social anxiety disorder (50 people) who referred to Derakhshan counseling center in Babolsar city in 2021. The sample included 30 patients who were purposefully selected and randomly divided into two experimental groups (15 people) and control group (15 people). To collect data, ATQ negative automatic thoughts questionnaire, Sexton & Dugas CAQ cognitive avoidance questionnaire and Watson & Friend fear evaluation questionnaire were used. Research data was analyzed using SPSS-23 software. Results: The results of the analysis showed that the paradoxical timetable technique was significantly effective on negative automatic thoughts, cognitive avoidance and fear of evaluation by others (P < 0.001). Conclusions: The results of this research can be used in the treatment of negative automatic thoughts, cognitive avoidance and fear of evaluation by others in people with social anxiety disorder.

STUDENT LEADERS INVOLVEMENT IN DECISION MAKING AND DISCIPLINE MANAGEMENT IN PUBLIC SECONDARY SCHOOLS IN RWANDA A CASE OF NYARUGENGE DISTRICT

Despite the government sustained efforts to improve discipline among students in secondary schools, cases of indiscipline still persist in secondary schools in Rwanda. This study involved an investigation of effects of student leaders involvement in decision making on discipline management in secondary schools. The specific objectives of the study included to assess the effects of student leaders involvement in formulating rules and regulations on discipline management, to determine the effects of student leaders involvement in time keeping on discipline management and lastly to examine the effects of student leaders involvement in disciplinary meetings on discipline management in secondary schools. The study utilised descriptive survey design and causal research design to achieve study objectives. The target population was 378 consisting of head teachers, dean of studies, dean of discipline and other teachers and student leaders from public and private secondary schools. The study used purposive and simple random sampling techniques in selecting the sample population. Questionnaires and interview guides was used to collect the data from respondents. Data was analysed using IBMSPSS version 21 and findings were computed using descriptive statistics including means, frequencies and percentages and inferential statistics including Pearson correlation coefficient, beta coefficients and p-values. The findings were presented in tables and charts. Cronbach Alpha value was 0.83 which indicated the instruments were reliable and the experts opinions were also incorporated to ascertain instruments validity. The findings did indicate that over 65% of respondents agree that student participate in decision making including drafting rules and regulations, time keeping and disciplinary meetings. The mean for all items was approximately 4 with less than 1 standard deviation. Additionally, the beta coefficients for drafting rules and regulations, time keeping and disciplinary meetings were 26.9%, 30.1% and 30.5% respectively with p values of 0.001, 0.004 and 0.001. The study did conclude that there is positive significant effect of student leaders involvement in drafting rules and regulations, time keeping and disciplinary meetings on discipline management. The conclusion of the study was that head teachers should ensure student are represented in school decisions particularly when amending or introducing new rules and regulations, when drafting time tables that guides school activities and when having disciplinary meetings through their leaders. The government through education ministry should also enforce mandatory law in schools that ensures student leaders are involved in decision making process in schools by engaging their leaders. The study is important to school administrators, teachers and students in enhancing discipline.

Arithmetic in two languages: Localizing simple multiplication processing in the adult bilingual brain.

Verbally memorized multiplication tables are thought to create language-specific memories. Supporting this idea, bilinguals are typically faster and more accurate in the language in which they learned math (LA+) than in their other language (LA- ) . No study has yet revealed the underlying neurocognitive mechanisms explaining this effect, or the role of problem size in explaining the recruitment of different brain regions in LA+ and LA- . To fill this gap in the literature, 29 Spanish-English early bilingual adults, proficient in both languages, verified simple multiplication problems in each language while functional magnetic resonance imaging (fMRI) was acquired. More specifically, this study aimed to answer two questions: 1) Does LA+ recruit left superior and middle temporal gyri (STG/MTG) to a greater extent than LA- , reflecting more robust verbal representations of multiplication facts in LA+? In contrast, does LA- recruit the inferior frontal gyrus (IFG), reflecting more effortful retrieval, or the intraparietal sulcus (IPS), reflecting reliance on quantity processes? 2) Is there an interaction between language and problem size, where language differences are more pronounced for less practiced, large multiplication problems (e.g., 8 × 9) in comparison to more familiar, small problems (e.g., 2 × 3). Functional localizer tasks were used to identify hypothesis-driven regions of interest in verbal areas associated with verbal representations of arithmetic facts (left STG/MTG) and with the effortful retrieval of these facts (left IFG) and quantity areas engaged when calculation-based strategies are used (bilateral IPS). In planned analyses, no cluster reached significance for the direct comparison of languages (question 1) or for the interaction between language and problem size (question 2). An exploratory analysis found a main effect of problem size, where small problems recruited left STG/MTG and left IFG to a greater extent than large problems, suggesting greater verbal involvement for these problems in both languages. Additionally, large problems recruited right IPS to a greater extent than small problems, suggesting reliance on quantity processes. Our results suggest that proficient early bilingual adults engage similar brain regions in both languages, even for more difficult, large problems.

Metrology of two wearable sleep trackers against polysomnography in patients with sleep complaints.

Sleep trackers are used widely by patients with sleep complaints, however their metrological validation is often poor and relies on healthy subjects. We assessed the metrological validity of two commercially available sleep trackers (Withings Activité/Fitbit Alta HR) through a prospective observational monocentric study, in adult patients referred for polysomnography (PSG). We compared the total sleep time (TST), REM time, REM latency, nonREM1 + 2 time, nonREM3 time, and wake after sleep onset (WASO). We report absolute and relative errors, Bland-Altman representations, and a contingency table of times spent in sleep stages with respect to PSG. Sixty-five patients were included (final sample size 58 for Withings and 52 for Fitbit). Both devices gave a relatively accurate sleep start time with a median absolute error of 5 (IQR -43; 27) min for Withings and -2.0 (-12.5; 4.2) min for Fitbit but both overestimated TST. Withings tended to underestimate WASO with a median absolute error of -25.0 (-61.5; -8.5) min, while Fitbit tended to overestimate it (median absolute error 10 (-18; 43) min. Withings underestimated light sleep and overestimated deep sleep, while Fitbit overestimated light and REM sleep and underestimated deep sleep. The overall kappas for concordance of each epoch between PSG and devices were low: 0.12 (95%CI 0.117-0.121) for Withings and VPSG indications 0.07 (95%CI 0.067-0.071) for Fitbit, as well as kappas for each VPSG indication 0.07 (95%CI 0.067-0.071). Thus, commercially available sleep trackers are not reliable for sleep architecture in patients with sleep complaints/pathologies and should not replace actigraphy and/or PSG.

Field Study to Design Public Transportation Network for One of the Libyan Cities (The City of Houn is an Example)

The cultural and urban development that the cities of the world in general have experienced over the years, including the Arab countries, has led to the existence of many urban problems, including urban transportation problems, mainly represented by traffic congestion, noise, and environmental pollution in all its visual and audio forms. Through this, the need for many systems to manage life aspects within these cities emerged from a social, economic and political perspective, including public transportation systems, which are considered one of the most important causes of urban stability in many cities of the world, whether developed or developing countries. The urban transportation system in Libya (as one of the developing countries in the world) suffers from the lack of planning based on scientific foundations for the transportation system - especially the public transportation network - that takes into account data collected in the field on how to design public transportation time tables according to the number of passengers, the length of the line, the trip time, and the number of buses in public transportation network, hence the need to conduct such a field study to plan public transportation networks within Libyan cities is very important. In this study, the city of Houn was chosen as a model for designing a public transportation network. The methodology was divided in two stages. The first stage was for data collection. A questionnaire (1080 surveys) was conducted for the main and active places in the city, including (educational, service, and employment places), as well as traffic counts were conducted by monitoring and recording traffics in the field during the morning and evening peak periods. The second stage was for analyzing and studying the data using Excel program, converting them into charts, comparing and studying the collected data. Based on analyzing and studying the data, the study concluded with the design of public transportation network in which the bus route for the network was determined, the locations and number of bus stops were determined, taking into account the required distances between stations. In addition, the number of buses was determined as well as the size of buses and the frequency of buses for morning and evening peak periods. Keywords: public transportation, questionnaire, traffic counts, peak hours

TALIGITAR: Innovative Media in Increasing Elementary School Students' Learning Interest

The research examines the problem of the relatively low level of learning interest of grade 6 students, especially in the context of learning mathematics, especially multiplication and division. This research aims to develop TALIGITAR (Smart Mathematics Multiplication and Division Tables) to increase students' interest in mathematics. This type of research is Research and Development (R&D) using the ADDIE development method. The research subjects are material experts and learning media experts. The test subjects were grade 6 students. The methods used to collect data were observation, interviews and questionnaires. The data collection instrument is a questionnaire. The techniques used to analyze data are qualitative descriptive analysis and quantitative descriptive analysis. The research results, namely the assessment from material experts, reached a percentage of 76% with suitable criteria. Media experts achieved a percentage of 80% with good criteria. The trial results on grade 6 students showed a percentage of 78% with good criteria. It was concluded that overall, "TALIGITAR Learning Media" was considered suitable for use in mathematics learning in grade 6. The results of the data analysis also showed an increase in students' interest in mathematics after using this media. This research can contribute to increasing students' interest in mathematics through innovative and interactive media.

Rydberg-atom experiment for the integer factorization problem

The task of factoring integers poses a significant challenge in modern cryptography, and quantum computing holds the potential to efficiently address this problem compared to classical algorithms. Thus, it is crucial to develop quantum computing algorithms to address this problem. This study introduces a quantum approach that utilizes Rydberg atoms to tackle the factorization problem. Experimental demonstrations are conducted for the factorization of small composite numbers such as 6=2×3, 15=3×5, and 35=5×7. This approach involves employing Rydberg-atom graphs to algorithmically program binary multiplication tables, yielding many-body ground states that represent superpositions of factoring solutions. Subsequently, these states are probed using quantum adiabatic computing. Limitations of this method are discussed, specifically addressing the scalability of current Rydberg quantum computing for the intricate computational problem. Published by the American Physical Society 2024

An Overview of Dyscalculia from the Perspective of Mathematics Teachers

This study was conducted using the phenomenological research design to examine mathematics teachers’ common experiences who were aware of dyscalculia and who thought they had students with dyscalculia diagnosed with learning disabilities.The study also aimed to reveal the common perception. The participants were seven elementary mathematics teachers from public schools in the provinces Van and Urfa. Ethical permission was obtained from the Scientific Ethical Evaluation Committee of the Dean of the Faculty of Education of Yüzüncü Yıl University on: 24.03.2024 with the number: 21788. Semi-structured interview was used, supported by video and audio recordings. The data were analyzed using descriptive and content analyses. Reflecting on their experiences, the teachers said students with dyscalculia were mostly introverted and asocial and they had problems in many areas of mathematics like performing four operations, rhythmic counting, multiplication tables, reading clock and expressing place and direction. As the most appropriate teaching approach to be applied to students with dyscalculia, the teachers mentioned demonstrating and teaching how to do, teaching mathematics through games, individualized teaching, associating with daily life, applying activity-based and technology-supported teaching approaches. Moreover, the teachers reported they needed family and expert support regarding the interventions for the development of children's mathematical skills.

Impact of the COVID-19 pandemic mitigation strategies on cancer treatment trials: A meta-analysis of industry and NCI studies.

11021 Background: ASCO and Friends of Cancer Research established a task force to evaluate trial mitigation strategies allowed by US regulators during the COVID-19 pandemic, including the use of telemedicine and remote monitoring. We report the results of a meta-analysis quantifying the impact of these strategies on quality metrics and the recovery time to pre-COVID levels. Methods: We invited 41 sponsors with active US cancer treatment trials from January 2015-May 2022 to contribute deidentified trial-level aggregate data on major protocol deviations (PDs), dropouts, severe or worse toxicity (CTCAE Grade 3-5), and enrollment. We examined outcomes as proportions of participants at-risk during the pre-COVID, initial wave (IW), initial recovery (IR), and secondary recovery (SR) assessment times (Table). Multi-level beta-regression analyses were adjusted for trial phase (“early”, phases I, II, or I/II, vs. “late”, phase III) with study and sponsor as random effects. Indicator variables were used for post-COVID time periods with pre-COVID as the reference. Results: Ten sponsors (9 industry and 1 NCI Cooperative Group) contributed 82 evaluable studies: 63 early and 19 late phase trials. Among the 15,679 participants, enrollment odds decreased 64% in the IW and 45% in the IR but recovered to approximately pre-COVID levels by the SR (Table). Major PDs, dropouts, and severe or worse toxicity all had lower incidence in the IW compared to pre-COVID; these outcomes were also less frequent in IR (p<.05 for each), but not in the SR (p>.05 for each) compared to pre-COVID. Conclusions: Large declines in enrollment rates during the IW rebounded to pre-COVID levels by 2021-2022. We found steep reductions in the rates of reported occurrence of major PDs, dropouts, and severe or worse toxicity during the initial outbreak, which also recovered to pre-COVID levels by 2021-2022. Findings suggest pandemic-related procedural flexibility did not lead to increased reporting of PDs or dropouts and highlight how use of mitigation strategies likely corresponded with the temporary disruption to trial conduct during the pandemic’s peak. Sponsors could consider broader adaptation of trial flexibilities moving forward. [Table: see text]

Clinical impact of molecular profiling in the national prospective cohort Solving Unknown Primary Cancer (SUPER) study.

3056 Background: Cancer of unknown primary (CUP) is a common cause of cancer death, with a median survival < 12 months. SUPER is a prospective cohort study designed to create a national information and biobank of patients (pts) with no confirmed primary site following diagnostic work-up. We aimed to determine the impact of tumour molecular profiling on treatment decisions. Methods: 449 pts were recruited (2013-2021) over 3 phases from 12 Australian sites. Clinical information collected over 12 months included: demographics, treatments, investigations and clinico-pathological characteristics. Molecular tests were centrally performed and included comprehensive panel (CCP) sequencing and gene-expression tissue of origin (TOO) assays in Phase 1&2 and CCP and whole genome sequencing (WGS) in Phase 3. The number of genes reported on increased over the 3 phases. Molecular results were discussed in a molecular tumour board. Clinicians completed clinical management questionnaires before and after receiving molecular results. A combined retrospective evaluation of therapeutic actionability was applied to all DNA sequencing data using the TOPOGRAPH database. Results: Median age 63 years [19-86], with 81% ECOG 0-1 and 87% classified as unfavourable CUP subtype. Reporting timelines and rates of successful sequencing improved over time (Table). Clinically actionable genomic abnormalities were detected in 95/331 (29%) pts. Moderate or high match results on TOO assay were consistent with a suspected or later confirmed TOO as reported by clinicians in 81/195 (42%) pts in phase 1 + 2. Germline pathogenic mutations were detected in 34/331 (10%) pts. Molecular tests confirmed clinician’s treatment (started while awaiting results) was consistent with the most likely TOO in 170/331 (51%) pts. Clinicians reported that molecular tests resulted in a change in management in 11/118 pts (9%) in phase 1 and 40/213 (19%) pts in phases 2+3, with 17/51 (33%) pts changed treatment based on potential TOO determination. 11/51 (22%) pts could access treatment via standard pathways given a more specific tumour-type diagnosis and 15/51 (29%) pts were potentially eligible for clinical trials; however, only 7 pts were well enough for referral. Conclusions: The clinical impact of molecular testing in CUP improved over time as testing became more sophisticated and turnaround times improved. Clinicians suspected TOO pre-profiling was consistent with molecular results in half of the pts. Routine access to novel therapies in CUP remains a challenge. [Table: see text]