Electronic Information Research Articles

Nottinghamshire GP Phoenix Programme trainee transition scheme: an innovative education programme supporting GP trainees transition to independent practice.

It is well-established that GP trainees do not feel confident when transitioning to independent practice. In 2019, the Nottinghamshire GP Phoenix Programme Trainee Transition Scheme (TTS) was established to improve this transition and encourage local retention of newly qualified GPs. The TTS has been evaluated by surveying a total of 344 trainees from August 2022 to August 2023 using an electronic Google Form. Two-thirds of the trainees surveyed felt the mix of TTS-led non-clinical topics and trainee-led clinical topics taught during their locality time were useful for their learning. 72% felt that the TTS would influence their decision to remain working locally after qualification. Based on these positive findings, it is proposed that the TTS should be adopted in other areas to improve both transition and retention of newly qualified GPs.

Benchtop Performance of Novel Mixed Ionic–Electronic Conductive Electrode Form Factors for Biopotential Recordings

Background: Traditional gel-based (wet) electrodes for biopotential recordings have several shortcomings that limit their practicality for real-world measurements. Dry electrodes may improve usability, but they often suffer from reduced signal quality. We sought to evaluate the biopotential recording properties of a novel mixed ionic–electronic conductive (MIEC) material for improved performance. Methods: We fabricated four MIEC electrode form factors and compared their signal recording properties to two control electrodes, which are electrodes commonly used for biopotential recordings (Ag-AgCl and stainless steel). We used an agar synthetic skin to characterize the impedance of each electrode form factor. An electrical phantom setup allowed us to compare the recording quality of simulated biopotentials with ground-truth sources. Results: All MIEC electrode form factors yielded impedances in a similar range to the control electrodes (all <80 kΩ at 100 Hz). Three of the four MIEC samples produced similar signal-to-noise ratios and interfacial charge transfers as the control electrodes. Conclusions: The MIEC electrodes demonstrated similar and, in some cases, better signal recording characteristics than current state-of-the-art electrodes. MIEC electrodes can also be fabricated into a myriad of form factors, underscoring the great potential this novel material has across a wide range of biopotential recording applications.

Indoor Infrastructure Maintenance Framework Using Networked Sensors, Robots, and Augmented Reality Human Interface

Sensing and cognition by homeowners and technicians for home maintenance are prime examples of human–building interaction. Damage, decay, and pest infestation present signals that humans interpret and then act upon to remedy and mitigate. The maintenance cognition process has direct effects on sustainability and economic vitality, as well as the health and well-being of building occupants. While home maintenance practices date back to antiquity, they readily submit to augmentation and improvement with modern technologies. This paper describes the use of networked smart technologies embedded with machine learning (ML) and presented in electronic formats to better inform homeowners and occupants about safety and maintenance issues, as well as recommend courses of remedial action. The demonstrated technologies include robotic sensing in confined areas, LiDAR scans of structural shape and deformation, moisture and gas sensing, water leak detection, network embedded ML, and augmented reality interfaces with multi-user teaming capabilities. The sensor information passes through a private local dynamic network to processors with neural network pattern recognition capabilities to abstract the information, which then feeds to humans through augmented reality and conventional smart device interfaces. This networked sensor system serves as a testbed and demonstrator for home maintenance technologies, for what can be termed Home Maintenance 4.0.

Design of a new nanocomposite based on Keggin-type [ZnW12O40]6− anionic cluster anchored on NiZn2O4 ceramics as a promising material towards the electrocatalytic hydrogen storage

Extensive research efforts have been dedicated to developing electrode materials with high capacity to address the increasing complexities arising from the energy crisis. Herein, a new nanocomposite was synthesized via the sol–gel method by immobilizing K6ZnW12O40 within the surface of NiZn2O4. ZnW12O40@NiZn2O4 was characterized by FT-IR, UV–Vis, XRD, SEM, EDX, BET, and TGA-DTG methods. The electrochemical characteristics of the materials were examined using cyclic voltammogram (CV) and charge–discharge chronopotentiometry (CHP) techniques. Multiple factors affecting the hydrogen storage capacity, including current density (j), surface area of the copper foam, and the consequences of repeated cycles of hydrogen adsorption–desorption were evaluated. The initial cycle led to an impressive hydrogen discharge capability of 340 mAh/g, which subsequently increased to 900 mAh/g after 20 cycles with a current density of 2 mA in 6.0 M KOH medium. The surface area and the electrocatalytic characteristics of the nanoparticles contribute to facilitate the formation of electrons and provide good diffusion channels for the movement of electrolyte ions throughout the charge–discharge procedure.

Legal Protection for Victims of Illegal Investment Fraud Using the Ponzi Scheme in Indonesia

This study was conducted through the investigation and analysis of additional criminal reasons for rulgi can be applied as an ulpaya perlindungan victim of investment with a ponzi scheme. Also, reviewing and analyzing Hukum Perlindungan for Victims of Investigative Pellnipulan with Ponzi Skema. This research uses a Normative Juridical approach. While the penelitian that is carried out by pelnelliti is the case study (Casel Approach). The results of this study show two things, namely: 1) At present there are only a few regulations that more or less allude to the discussion of ponzi, including: Law No. 7 of 2014 concerning Trade, Law No. 21 of 2008 concerning Sharia Banking, Law No. 19 of 2016 Jo. Law No. 11 of 2008 concerning Electronic Information and Transactions Government Regulation No. 82 of 2012 concerning the Implementation of Electronic Systems and Transactions. Criminal provisions against investment activities with ponzi / fraudulent schemes are regulated in Article 378 of the Criminal Code and are very closely related to crime and the scope of criminal liability, 2) Compensation as one type of criminal sanction adopted in the new Criminal Code does not provide further explanation about the amount.

Health system structure and its influence on outcomes: The Canadian experience.

Healthcare delivery systems in Canada are structured using three models: individual institutions, health regions, and single provincial systems, usually with smaller geographic zones. The comparative ability of these models to improve care, outcomes, and the Quadruple Aim is largely unstudied. We reviewed Canadian studies examining outcomes of provincial healthcare delivery system restructuring. Across models, results were inconsistent, and quality of evidence was low. For all provinces, primary care sits outside healthcare delivery systems, with limited governance and integration. The single provincial model can reduce costs of non-clinical support functions like finance, human resources, and analytics. This model may also be best at reducing variations in care, improving electronic information integration that enables clinical decision support and reporting, and supporting the provincial spread and scale of innovations, but further refinements are required and existing studies have major limitations, limiting definitive conclusions.

Construction and validation of clinical prediction model of acupuncture and moxibustion for Bell's palsy

To establish and validate a clinical prediction model of acupuncture and moxibustion for Bell's palsy so as to provide a tool for predicting the effect of acupuncture and moxibustion on Bell's palsy. A total of 269 patients with Bell's palsy were collected from department of acupuncture, moxibustion and tuina, Shengli Oilfield Central Hospital, neurology department, Shenxian County Central Hospital and department of rehabilitation medicine, Dongying Municipal Hospital of TCM from June 2018 to June 2023. All of these cases were treated with acupuncture and moxibustion. Of them, 182 cases, from department of acupuncture, moxibustion and tuina, Shengli Oilfield Central Hospital and neurology department, Shenxian County Central Hospital, were randomized into a training group (128 cases) and an internal validation group (54 cases); 87 cases from department of rehabilitation medicine, Dongying Municipal Hospital of TCM were assigned to an external validation group. The clinical data of all of the cases were extracted from the electronic medical record information platform. Using SPSS25.0 and R4.2.3, through univariate and multivariate Logistic regression analysis, the independent factors influencing the effects of acupuncture and moxibustion on Bell's palsy were identified. By means of internal and external validations, the receiver operating characteristic curve (ROC), the goodness-of-fit curve (GFC) and the decision curve analysis (DCA) were plotted. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of the model were calculated; and its comprehensive performance was evaluated. The results of the multivariate Logistic regression analysis showed that the independent factors for the unsatisfactory effect on Bell's palsy were advanced age, severe symptoms before treatment, no use of steroids within 72 h of onset, and lack of acupuncture-moxibustion therapy during the acute phase or single acupuncture-moxibustion protocol (P<0.05, P<0.01). Based on these factors, nomogram model and online columnar plot prediction tool (https://bmuchen.shinyapps.io/dynnomapp/) were established. The area under the ROC curve of the model was 0.921 (95% CI: 0.877, 0.966), 0.876 (95% CI: 0.787, 0.966), and 0.846 (95% CI: 0.766, 0.926) in the training group, the internal validation group, and the external validation group, respectively, indicating good predictive value. The model showed a satisfactory calibration curve alignment. The decision threshold in the range of 0 to 0.8 provided clinical benefits for participants. The model exhibited the sensitivity from 65.9% to 88.0%, the specificity ranging from 77.3% to 90.7%, the accuracy from 77.8% to 85.9%, the positive predictive value from 83.3% to 90.1%, and the negative predictive value from 70.8% to 78.7%. The comprehensive evaluation indicated a satisfactory clinical application value of the model. The clinical prediction model of acupuncture and moxibustion for Bell's palsy is valuable in its practice and promotion to a certain extent. The predicted results are conductive to clinicians' judgement of the effect of acupuncture and moxibustion for this disease and making effective and high-quality clinical decisions, as well as formulating the optimal therapeutic regimen.

Digital human rights: doctrinal principles

The authors note that the digitization of public services has taken place, which has led to the transition of most or at least a significant number of public services to an electronic format and allowed us to talk about the emergence of concepts of electronic state (government) (e-government). The step-by-step transformation of state data management based on digital technologies, the development of complex super-services for citizens and businesses to receive public services in one click (DIY) was called «digital public administration». However, a clear definition and framework of the concept of «digital human rights» has yet to be developed. They seem to cover all human rights in the context of digitization and the development of modern information and communication technologies. It can be considered that this is the field of information law, which regulates human rights related to the use of information technologies. This includes the regulation of relations in the field of personal data processing, publication of information on the network, processing of big data, application of artificial intelligence, etc. The purpose of the scientific article is to consider the concept of digital rights and their implementation in the Ukrainian and European legal space, taking into account the contribution of Ukrainian scientists. The digital revolution that has swept the world has significantly changed the way people communicate, work and live. However, this rapid technological development brings with it new challenges for the protection of human rights. This article examines the concept of digital human rights and their dimensions in the Ukrainian and European context. It is indicated that the study and protection of digital human rights in the modern world requires a comprehensive approach, taking into account both Ukrainian and European experience. The works of domestic scientists testify to the urgency of the problem and indicate the need for further research in this area. Digital human rights are becoming an integral part of modern society, where technology is rapidly changing the way we live and interact. Ukraine, like other countries, faces many challenges in the field of digital rights, which are caused by the rapid development of information and communication technologies. From this context: first, understanding digital rights and their importance becomes a necessity for every member of society. People should be aware of their rights and responsibilities in the digital space, especially regarding the protection of privacy and personal data; secondly, the development of digital rights in Ukraine should take into account the best practices of European countries and global standards. Improving legislation, increasing public awareness and developing cyber defense are aspects that require immediate attention; thirdly, the importance of cooperation between the state, citizens, business and the scientific community. Effective and sustainable solutions to ensure the digital rights of Ukrainians can only be created through joint efforts.

Research on the Current Application of Big Data in Public Governance

Computer technology has profoundly impacted contemporary society, and the social governance of the digital era is inseparable from big data technology. The importance of data statistics in the field of public governance is increasingly prominent, as it can aid government decision-making, improve the quality and efficiency of services. By deeply analyzing data, precisely meeting public demand, increasing service speed and execution, and through real-time monitoring of social data, the government can grasp social dynamics, pre-warn risks, formulate targeted policies, and ensure social stability and harmony. At the same time, attention is paid to the problems that may arise from the application of big data technology, fully leveraging the unique advantages of electronic information technology, establishing and improving relevant laws and regulations to ensure its healthy and orderly development.

Bimodal diurnal preference in undergraduate students is associated with negative health and sleep outcomes

ABSTRACT The bimodal preference is a fourth diurnal preference proposed by re-scoring the Morningness-Eveningness Questionnaire. The present work aimed to describe the prevalence of the bimodal preference in a sample of undergraduate students and to characterize the bimodal type in terms of their health and sleep-related outcomes. A web-based cross-sectional study conducted between September 2018 and March 2021 (convenience sampling method). The sample was composed of undergraduate students who completed an electronic form that included the Morningness and Eveningness Questionnaire, the Pittsburgh Sleep Quality Index, the Self-Compassion Scale, the Epworth Sleepiness Scale, the Hospital Anxiety and Depression Scale, and the World Health Organization Subjective Well-Being Index. The final sample consisted of 615 students (82% female, mean age: 23.4 ± 6.5 years), of whom 108 (18%) had positive bimodality indexes. Bimodal subjects comprised 48 students, 8% of the total sample. Bimodal subjects had poorer subjective sleep quality, more daytime sleepiness, lower subjective well-being, greater anxiety and depression symptoms, and lower self-compassion than morning and/or intermediate types; they did not differ from evening types. The description of bimodal diurnal preference in this population may be of interest for the design of academic policies more in line with the circadian reality of students.

Temporal trends in acute coronary syndrome by subtype

Abstract Funding Acknowledgements None. Introduction Various studies reported different results in trends regarding acute coronary syndrome (ACS) subtypes over the last years. We performed a retrospective analysis to determine trends in ACS incidence, demographic characteristics of patients, invasive treatment as well as outcomes and mortality of patients with ST elevation myocardial infarction (STEMI); non-STEMI (NSTEMI) and unstable angina (UA) in our tertiary Cardiac Intensive Care Unit (CICU). Methods We collected data from medical records and our electronic hospital information system on all admissions that occured in March 2003, 2013 and 2023 and compared the data. Results Over the years, there was a significant increase in total number of patients in our CICU (74, 87 and 143 per month, respectively). Patients with ACS accounted for more than half of all patients in the investigated period, but without reaching statistical significance for increase (51.4%, 64.4% and 63.6%; p= 0.156). On the other hand, when considering patients with STEMI, there was a significant upgrowth of the number of such patients (6.8% vs 31% vs 28.7%; p&amp;lt;0.001) with a trend of a decrease in the number of NSTEMI (28.4%, 18.4% and 23.8%; p= 0.324) and patients with UA (16.2%, 14.9% and 11.2%; p= 0.528). Percutaneous interventional treatment significantly rose over time (35.6 vs 61.2 vs 67.8%, p&amp;lt;0.01), while application of ICU restricted therapies like vasopressors (1.7% vs 0 vs 6.3%; p= 0.072) and inotropes (6.8% vs 4.7% vs 8.5%; p= 0.356) showed increasing trend, but without reaching statistical significance. However, CICU length of stay (LOS) notably decreased (59h vs 43h vs 22h; p= &amp;lt;0,001) as well as mortality (9.5% vs 5.7% vs 2.8%; p= &amp;lt;0.001). Conclusion We observed a significant increase in the number of STEMI patients with a declining trend in NSTEMI and UA patients, as well as increase in coronary procedures and vasopressors and inotropes administration, all indicating growing acuity and complexity of our patients. On the other hand, LOS and mortality significantly decreased highlighting better outcomes and treatment success.

Construction of a painting image classification model based on AI stroke feature extraction

Abstract A large number of digital painting image resources cannot be directly converted into electronic form due to their differences in painting techniques and poor preservation of paintings. Moreover, the difficulty of extracting classification features can also lead to the consumption of human time and misclassification problems. The aim of this research is to address the challenges of converting various digital painting image resources into electronic form and the difficulties of accurately extracting classification features. The goal is to improve the usefulness and accuracy of painting image classification. Converting various digital painting image resources directly into electronic format and accurately extracting classification features are challenging due to differences in painting techniques and painting preservation, as well as the complexity of accurately extracting classification features. Overcoming these adjustments and improving the classification of painting features with the help of artificial intelligence (AI) techniques is crucial. The existing classification methods have good applications in different fields. But their research on painting classification is relatively limited. In order to better manage the painting system, advanced intelligent algorithms need to be introduced for corresponding work, such as feature recognition, image classification, etc. Through these studies, unlabeled classification of massive painting images can be carried out, while guiding future research directions. This study proposes an image classification model based on AI stroke features, which utilizes edge detection and grayscale image feature extraction to extract stroke features; and the convolutional neural network (CNN) and support vector machine are introduced into image classification, and an improved LeNet-5 CNN is proposed to achieve comprehensive assurance of image feature extraction. Considering the diversity of painting image features, the study combines color features with stroke features, and uses weighted K-means clustering algorithm to extract sample features. The experiment illustrates that the K-CNN hybrid model proposed in the study achieved an accuracy of 94.37% in extracting image information, which is higher than 78.24, 85.69, and 86.78% of C4.5, K-Nearest Neighbor (KNN), and Bi directional Long short-term Memory (BiLSTM) algorithms. In terms of image classification information recognition, the algorithms with better performance from good to poor are: the mixed model &gt; BiLSTM &gt; KNN &gt; C4.5 model, with corresponding accuracy values of 0.938, 0.897, 0.872, and 0.851, respectively. And the number of fluctuation nodes in the mixed model is relatively small. And the sample search time is significantly shorter than other comparison algorithms, with a maximum recognition accuracy of 92.64% for the style, content, color, texture, and direction features of the image, which can effectively recognize the contrast and discrimination of the image. This method effectively provides a new technical means and research direction for digitizing image information.

Electronic medical information systems and timeliness of care in the emergency department: a scoping review

BackgroundAlthough many emergency department (ED) settings have implemented an electronic medical information system (EMIS) and EMIS tools in an effort to improve timeliness of care outcomes, there remains a paucity of scientific information on this topic. We therefore performed a scoping review to describe the range of EMIS interventions and their impacts on time-based outcomes in the ED.MethodsWe searched four bibliographic databases to identify potentially relevant records published after 2014 in English. Two reviewers assessed records for eligibility using a two-step screening process. We then extracted data on the type of EMIS, outcomes assessed, and reported results. Findings were summarized in tabular form and grouped by time-based outcome.ResultsTwenty-five studies met the eligibility criteria, with approximately half being retrospective studies. Interventions varied among studies; they generally included a new or updated EMIS, EMIS tools related to disease diagnosis and/or management, triage tools, or health information exchange platforms. Included studies compared interventions with relevant comparator groups, such as prior versions of an EMIS, absence of an EMIS, pen-and-paper documentation, and/or communication via telephone and fax. The most common outcomes reported were length of stay (n = 17 studies) and time to medication (n = 6 studies), followed by time to order, time to provider, and time from result to disposition. Reported effects of the interventions were generally inconsistent, showing either improvements, delays, or no change in examined outcomes.ConclusionsAdditional research is needed to determine how electronic medical information may be used in the ED to improve timeliness of care. Findings from this review can be used to inform future systematic reviews that evaluate the impact of these systems and tools on specific quality of care measures.

Prevention of Cyberbullying Against Children from the Aspect of Criminology

Bullying is happening all around us, even in schools and colleges. schools and colleges. Cases of cyberbullying in Indonesia are very high. Criminology can also be referred to as the sociology of criminals as this field is concerned with human with human learning that goes against social norms. Legal regulation of cyberbullying criminal offense of cyberbullying in Indonesia contained in the Criminal Code and outside the Criminal Code, namely Undang-Undang No.11 Tahun 2008 About Electronic Information and Transactions which has been updated with Undang-Undang No. 1 Tahun 2024. The cause of children committing cyberbullying is the influence of the child's socialization that normalizes the act, prevention strategies for cyberbullying.normalizing these actions, the appropriate prevention strategy is to supervise children's socialization and provide understanding that cyberbullying is a bad act and can be charged with criminal sanctions. and can be charged with criminal sanctions.

Application of electronic information in environmental protection

Application of electronic information in environmental protection

Digital human rights: separate doctrinal basis

The authors note that the digitization of public services has taken place, which has led to the transition of most or at least a significant number of public services to an electronic format and allowed us to talk about the emergence of concepts of electronic state (government) (e-government). The step-by-step transformation of state data management based on digital technologies, the development of complex super-services for citizens and businesses to receive public services in one click (DIY) was called “digital public administration”. However, a clear definition and framework of the concept of “digital human rights” has yet to be developed. They seem to cover all human rights in the context of digitization and the development of modern information and communication technologies. It can be considered that this is the field of information law, which regulates human rights related to the use of information technologies. This includes the regulation of relations in the field of personal data processing, publication of information on the network, processing of big data, application of artificial intelligence, etc. The purpose of the scientific article is to consider the concept of digital rights and their implementation in the Ukrainian and European legal space, taking into account the contribution of Ukrainian scientists. The digital revolution that has swept the world has significantly changed the way people communicate, work and live. However, this rapid technological development brings with it new challenges for the protection of human rights. This article examines the concept of digital human rights and their dimensions in the Ukrainian and European context. It is indicated that the study and protection of digital human rights in the modern world requires a comprehensive approach, taking into account both Ukrainian and European experience. The works of domestic scientists testify to the urgency of the problem and indicate the need for further research in this area. Digital human rights are becoming an integral part of modern society, where technology is rapidly changing the way we live and interact. Ukraine, like other countries, faces many challenges in the field of digital rights, which are caused by the rapid development of information and communication technologies. From this context: first, understanding digital rights and their importance becomes a necessity for every member of society. People should be aware of their rights and responsibilities in the digital space, especially regarding the protection of privacy and personal data; secondly, the development of digital rights in Ukraine should take into account the best practices of European countries and global standards. Improving legislation, increasing public awareness and developing cyber defense are aspects that require immediate attention; thirdly, the importance of cooperation between the state, citizens, business and the scientific community. Effective and sustainable solutions to ensure the digital rights of Ukrainians can only be created through joint efforts.

IT-Related Barriers and Facilitators to the Implementation of a New European eHealth Solution, the Digital Survivorship Passport (SurPass Version 2.0): Semistructured Digital Survey.

To overcome knowledge gaps and optimize long-term follow-up (LTFU) care for childhood cancer survivors, the concept of the Survivorship Passport (SurPass) has been invented. Within the European PanCareSurPass project, the semiautomated and interoperable SurPass (version 2.0) will be optimized, implemented, and evaluated at 6 LTFU care centers representing 6 European countries and 3 distinct health system scenarios: (1) national electronic health information systems (EHISs) in Austria and Lithuania, (2) regional or local EHISs in Italy and Spain, and (3) cancer registries or hospital-based EHISs in Belgium and Germany. We aimed to identify and describe barriers and facilitators for SurPass (version 2.0) implementation concerning semiautomation of data input, interoperability, data protection, privacy, and cybersecurity. IT specialists from the 6 LTFU care centers participated in a semistructured digital survey focusing on IT-related barriers and facilitators to SurPass (version 2.0) implementation. We used the fit-viability model to assess the compatibility and feasibility of integrating SurPass into existing EHISs. In total, 13/20 (65%) invited IT specialists participated. The main barriers and facilitators in all 3 health system scenarios related to semiautomated data input and interoperability included unaligned EHIS infrastructure and the use of interoperability frameworks and international coding systems. The main barriers and facilitators related to data protection or privacy and cybersecurity included pseudonymization of personal health data and data retention. According to the fit-viability model, the first health system scenario provides the best fit for SurPass implementation, followed by the second and third scenarios. This study provides essential insights into the information and IT-related influencing factors that need to be considered when implementing the SurPass (version 2.0) in clinical practice. We recommend the adoption of Health Level Seven Fast Healthcare Interoperability Resources and data security measures such as encryption, pseudonymization, and multifactor authentication to protect personal health data where applicable. In sum, this study offers practical insights into integrating digital health solutions into existing EHISs.

Abstract PO1-05-06: Health-related QOL and physical activity collected via wearable device in patients with HR+/HER2− advanced breast cancer in Japan treated with palbociclib+endocrine therapy (ET) or ET alone: 6-month longitudinal study (JBCRG-26)

Abstract Background: Palbociclib (PAL) is a first-in-class cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) for the treatment of HR+/HER2− advanced breast cancer (ABC). In phase 3 clinical trials, PAL+ET prolonged progression-free survival and maintained health-related quality of life (HRQOL) compared with placebo+ET. However, few studies have evaluated the day-to-day effects of PAL+ET treatment on patients’ HRQOL and daily activities in a real-world setting. Here, we report the daily life of the patients treated with PAL+ET or ET alone evaluated with a mobile application and wearable device. Methods: This is a prospective, observational, multicenter study conducted in Japanese women with HR+/HER2- ABC initiating PAL+ET (Group 1) or ET alone (Group 2) in first- or second-line setting. HRQOL was assessed with the EORTC-QLQ-C30 at baseline and Day 15 of each cycle via a smartphone-based application for 6 treatment cycles (24 weeks). Physical activity (PA) data were collected via wearable device (CentrePoint Insight Watch®, ActiGraph LLC, the USA). Patients were instructed to wear the device at all-times, except of while bathing and sleeping, during the baseline period (at least 4 days prior to treatment initiation was recommended) and 6 cycles. PA metrics were averaged on a weekly basis. Patient data, including baseline characteristics, treatment, and adverse events, were collected via electronic case report forms. As primary endpoints, change in Global health status (GHS) of EORTC-QLQ-C30 and “sedentary time” from baseline were evaluated at each time point. No formal hypothesis testing or comparisons between groups was planned. Results: Ninety-nine patients were enrolled (Group 1: 78 patients, Group 2: 21 patients). Patients had a median age of 56/52 years (Group 1/Group 2); 51%/33% had visceral metastases; 86%/86% had ECOG performance status of 0; 76%/91% initiated first-line treatment; 36%/33% were fully employed. Seventy-four of 78 patients (95%) in Group 1 and 20 of 21 patients (95%) in Group 2 completed the 6-cycle observation period. Baseline mean GHS score was 60.9 and 64.3 in Group 1 and 2, respectively. The change from baseline to Cycle 6 in GHS score was 4.6 and 1.2 in Group 1 and 2, respectively, not reaching the deterioration-threshold of 8 points in either treatment group. Results for each functional subscale are summarized in Table 1. Baseline mean “sedentary time” was 580.7 and 565.1 min/day in Group 1 and 2, respectively. The change from baseline to Cycle 6 in “sedentary time” was —67.2 and —139.4 min/day in Group 1 and 2, respectively. Results of other PA metrics are summarized in Table. No new safety signals were identified. Conclusion: In this study, PAL+ET or ET alone did not have any significant adverse impact on HRQOL and PA measured by wearable devices in patients with HR+/HER2- ABC. (NCT04736576) Citation Format: Hiroko Bando, Mari Oba, Aya Ueda, Kaori Terata, Mihoko Doi, Shigenori Nagai, Masaya Hattori, Ken-Ichi Watanabe, Nobuko Tamura, Manabu Futamura, Kei Koizumi, Naoki Niikura, Tempei Miyaji, Yasuaki Muramatsu, Linghua Xu, Norikazu Masuda, Shigehira Saji. Health-related QOL and physical activity collected via wearable device in patients with HR+/HER2− advanced breast cancer in Japan treated with palbociclib+endocrine therapy (ET) or ET alone: 6-month longitudinal study (JBCRG-26) [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 PO1-05-06.

Development and validation of a novel nomogram model for identifying risk of prolonged length of stay among patients receiving free vascularized flap reconstruction of head and neck cancer.

The aim of the present study was to build and internally validate a nomogram model for predicting prolonged length of stay (PLOS) among patients receiving free vascularized flap reconstruction of head and neck cancer (HNC). A retrospective clinical study was performed at a single center, examining patients receiving free vascularized flap reconstruction of HNC from January 2011 to January 2019. The variables were obtained from the electronic information system. The primary outcome measure was PLOS. Univariate and multivariate analyses were used to find risk factors for predicting PLOS. A model was then built according to multivariate results. Internal validation was implemented via 1000 bootstrap samples. The study included 1047 patients, and the median length of stay (LOS) was 13.00 (11.00, 16.00) days. Multivariate analysis showed that flap types ((radial forearm free flap (odds ratio [OR] = 2.238; 95% CI, 1.403-3.569; P = 0.001), free fibula flap (OR = 3.319; 95% CI, 2.019-4.882; P < 0.001)), duration of surgery (OR = 1.002; 95% CI, 1.001-1.003; P = 0.004), postoperative complications (OR = 0.205; 95% CI, 0.129-0.325; P = P < 0.001) and unplanned reoperation (OR = 0.303; 95% CI, 0.140-0.653; P = 0.002) were associated with PLOS. In addition to these variables, blood transfusion was comprised in the model. The AUC of the model was 0.78 (95% CI, 0.711-0.849) and 0.725 (95% CI, 0.605-0.845) in the primary and internal validation cohorts, respectively. The DCA revealed the clinical utility of the current model when making intervention decisions within the PLOS possibility threshold range of 0.2-0.8. Our study developed a nomogram that exhibits a commendable level of accuracy, thereby aiding clinicians in assessing the risk of PLOS among patients receiving free vascularized flap reconstruction for HNC.

Preface

With great and successful prestigious history of MAEIE, the 2023 3rd International Conference on Mechanical Automation and Electronic Information Engineering (MAEIE 2023) was held in Nanjing, China during 15th to 17th, December 2023 via virtual format, gathering together about 100 delegates from all over the world.MAEIE 2023 is a great academic platform and is of great significance for disseminating cutting-edge information in disciplines and industry, promoting the transformation of scientific and technological achievements, and condensing academic achievements in the industry at this event.The Conference consisted of 3 plenary keynote speeches addressed by well-known scholars internationally (by Prof. Xiaofang Yuan from Hunan University, China, Assoc. Prof. He Chen from Hebei University of Technology, China, Prof. Aniruddha Bhattacharjya from SGT University, India, respectively), 8 oral and 18 poster presentations, in which a wide range of topics were covered and the most recent significant results were presented. They discussed such topics as Research on Three-dimensional Path Planning Methods for Autonomous Vehicles, Control Research for Underactuated Cranes with State Constraints, Use of Blockchain Technology in IoT Maintaining Cia Triad in Data Communication, among others. Besides, the attending scholars, experts, and researchers exchanged deeply on the latest research achievements and advanced experience in the industry development and shared their unique insights into development trends and research directions of the industry.MAEIE 2023 received submissions from home and abroad, but unfortunately some manuscripts did not pass the final review, which therefore doesn’t appear in this Conference Proceedings. The selected works included in the Proceedings are published in Journal of Physics: Conference Series, covering topics on Automated Instrumentation and Equipment, Molding Manufacturing and Automation, Intelligent Manufacturing Technology, Power Electronics Technology, Electronics and Communication Engineering, among others. They show readers the latest research results and application cases of mechanical automation and electronic information engineering. We firmly believe that by reading these papers, readers will deepen their understanding of these fields and appreciate their enormous significance and potential impact on contemporary society.We wish to acknowledge all the participants, and the support of our sponsors. We would also like to take this opportunity to thank the committee members, as well as the expert reviewers, for their endeavor in making the Conference possible and reviewing the manuscripts submitted. What’s more, we hope that the conference series MAEIE shall continue to the next many sessions and deliver its purpose as the arena for presenting and exchanging the ideas of research in the fields of mechanical automation and electronic information engineering and anything related.The Committee of MAEIE 2023List of Committee Member is available in this pdf.