Artificial intelligence in oncology: current applications and future perspectives

Artificial intelligence (AI) is concretely reshaping the landscape and horizons of oncology, opening new important opportunities for improving the management of cancer patients. Analysing the AI-based devices that have already obtained the official approval by the Federal Drug Administration (FDA), here we show that cancer diagnostics is the oncology-related area in which AI is already entered with the largest impact into clinical practice. Furthermore, breast, lung and prostate cancers represent the specific cancer types that now are experiencing more advantages from AI-based devices. The future perspectives of AI in oncology are discussed: the creation of multidisciplinary platforms, the comprehension of the importance of all neoplasms, including rare tumours and the continuous support for guaranteeing its growth represent in this time the most important challenges for finalising the ‘AI-revolution’ in oncology.

Preface

We gratefully acknowledge the presence of all participants on the 2021 International Conference on Mechanical Automation and Electronic Information Engineering (MAEIE 2021), which was successfully held in Zhuhai from 24th to 26th September, 2021. MAEIE 2021 aimed to provide a platform for experts and scholars, engineers and technicians, and R&D personnel to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic results. MAEIE 2021 focused on professional fields such as Mechanical Integration, Artificial Intelligence, Intelligent Information Processing, Information Engineering, etc. About 80 participants from academic, high-education institutes and other organizations took part in the conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. In the keynote presentation part, we invited 12 professors as our keynote speakers. The first keynote speaker, Prof. Junlong Chen, IEEE Fellow, from South China University of Technology, China. The second keynote speaker, Prof. Guoliang Chen, from Shenzhen University, China. The others keynote speaker as follow: Prof. Anhui Liang, Shandong University of Science and Technology, China; Prof. Weijia Jia, IEEE Fellow, ACM Fellow, Beijing Normal University - Hong Kong Baptist University United International College, China; Prof. Nong Xiao, from Sun Yat-sen University, China; Prof. Yutong Lu, Sun Yat-sen University, China; Prof. Young Liang, Macau University of Science and Technology, China; Prof. Jianxin Wang, IEEE Senior Member, from Central South University, China; Prof. Xiaofeng Zhu, University of Electronic Science and Technology of China; Prof. Yang Yue, Nankai University, China; Prof. Li Na, from Xi’ dian University, China; Assoc. Prof. Zhengtian Fang, from University of Macau, China. They had outstanding research in Mechanical Automation and Electronic Information Engineering and other related area. The proceedings present a selection of high-quality papers submitted to the conference by researchers from universities, research institutes, and industry. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on their quality and their relevance to the conference. The proceedings present recent advances in the fields of Mechanical, Force and Tactile Sensors, Industrial Tribology, Machine Vision, Algorithm and Data Structure and others related research. I would like to express special gratitude to members of the conference committee and organizers of the conference. I would also like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings. Finally, I want to thank the authors, the members of the organizing committee, the reviewers, the chairpersons, sponsors, and all other conference participants for their support of MAEIE 2021. The Committee of MAEIE 2021 List of Committee member are available in this pdf.

Peer review declaration

All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information: • Type of peer review: Double-blind • Conference submission management system: https://editorone.org/conferences/5fd6b50f5187a?conf=ICAPC2021 The email address used for the management system and the name of the person in charge as follows Affiliation: Guilin Normal College Email: [email protected] Name: Zhiyong Shao • Number of submissions received: 591 • Number of submissions sent for review: 498 • Number of submissions accepted: 369 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 62% • Average number of reviews per paper: 2 • Total number of reviewers involved: 125 • Any additional info on review process: Step 1. Selected papers divided into several parts according to their topics. Step 2. Authors names, affiliations and email addresses removed from papers. Step 3. Papers sent to the reviewers who are professional in the related area for peer review. Step 4. Papers sent back to the writer if two reviewers reject the same paper, papers sent for publication if two reviewers accept the same paper, and if two reviewers disagree on the same paper, the paper will be sent to the chief editor for final decision. Step 5. Authors revise their paper according to the reviewers’ comments. • Contact person for queries (please include: name, affiliation, institutional email address) Name: Zhiyong Shao Affiliation: Guilin Normal College Email: [email protected]

Preface

Seminar Nasional Fisika (SNF) 2021, Universitas Negeri Surabaya on New Adaptations in Physics Learning and Research to Realize an Independent Learning Program Dwikoranto, A Zainuddin, B K Prahani, N P Putri, N A Lestari, U A Deta* Physics Department, Universitas Negeri Surabaya, Indonesia *E-mail: [email protected] We want to present the National Physics Seminar or Seminar Nasional Fisika (SNF 2021), entitled New Adaptations in Physics Learning and Research to Realize an Independent Learning Program. SNF 2021 took place virtually by using the ZOOM meeting because of the COVID-19 pandemic. As we know, the Covid-19 pandemic has harmed almost all areas of life, including education, especially universities. SNF 2021 organized by the Physics Department, Universitas Negeri Surabaya-Surabaya on October 18, 2021. In general, there are two sessions, namely plenary and parallel. The plenary session was given to three keynote speakers: (1) Prof. Dr. Heri Sutanto, M.Si. (09.40-10.10 AM), (2) Dr. Asnawi, M.Si. (10.10-10.40 AM), (3) Prof. Dr. Budi Jatmiko, M.Pd. (10.40-11.10) which ends with a Q&A session (11.10-11.40 AM). Parallel session is for authors who present their papers and is carried out in eight groups of breakout rooms (1.00-4.00 PM). As a scientific forum, the SNF 2021 is attended by 217 participants from students, teachers, lecturers, engineers, and practitioners who participate either as presenters or as participants. The SNF 2021 main aim is to share ideas and knowledge and build collaboration with each other. We received 56 papers that will be selected to be published in the Journal of Physics: Conference Series with the scope of physics and its related area. In this volume, we accept 32 papers for publication after meeting the scope, checking originality, and performing peer review. The technology needed to deliver the meeting successfully is zoom meeting, laptop, sound system, Wi-Fi (internet signal source), and the backup of electrical power. In this particular case, we have two times electricity outages (± 3 minutes). It is not a big problem because we have the backup of electricity and internet signal. We are hoping that the event will become a foothold of thinking in welcoming global developments. In addition, publications packaged in this seminar will further strengthen the existence and reputation of the physics department as an educational institution that excels in scientific publication at national and international levels. The results of these studies need to be disseminated so that they are scientifically helpful and provide practical value for the community. The organizing and editorial committee of the SNF 2021 hopes you enjoy reading this volume of the JPCS. Besides, we would like to fully respect keynote speakers and all the presenters for providing their valuable contributions for this proceeding and the reviewers for their constructive recommendations and criticism aiding to improve the presented articles. We, on behalf of the committee of the SNF 2021, would like to thank all parties for their participation in supporting this publication. We want to invite the participants back to participate in SNF 2022, which will be held by the Physics Department, Universitas Negeri Surabaya. List of Seminar Nasional Fisika (SNF) Unesa 2021 Committee, Documentations of SNF Unesa 2021 are available in this pdf.

Free Movement of Persons and Services

This chapter maps the most relevant aspects of the evolution of the free movement of persons and services through the analysis of the main legislative and judicial developments in both fields. After looking at the salient legislative transformations in the last decades and the effects of codification—mostly through Directives 2004/38 and 2006/123—the chapter explores the parameters that delimit the three different freedoms concerned—workers, establishment, and services. A reassessment of the place and scope of the provisions on the free movement of persons is then offered through a critical examination of the interrelationship between the regulatory framework and case law concerning the free movement of persons, the status of Union citizenship, and developments in the distinct but related Area of Freedom, Security and Justice.

Security and privacy with K-step opacity for finite automata via a novel algebraic approach

As an important secretive attribute, opacity of cyber-physical systems (CPSs) has attracted considerable attention. Existing works on opacity mainly concentrate on the formal language method by assuming that the intruder tracks partial knowledge of observable transitions. In this paper, under the framework of Boolean semi-tensor product (BSTP) of matrix, we extend the verification of opaque property to algebraic mechanisms that have great advantages in problem description and solution. First, we show that how [Formula: see text]-step opacity problem of nondeterministic finite automata (NFAs) can be transformed to the construction problem of a polynomial matrix that characterizes the state estimation eavesdropped by malicious intruders within the last [Formula: see text] observations. Second, the necessary and sufficient condition of verifying [Formula: see text]-step opacity is obtained, which is equivalent to validate the composition of elements within the polynomial matrix. Finally, the effectiveness of this result is demonstrated by an illustrative example. Taking together, the matrix-based method will be useful to deliver a novel theoretical tool for investigating the privacy-preserving problem in the related area of CPSs.

The Politics of Masculinity in Tony Gould’s Imperial Warriors: Britain and the Gurkhas

The main concern of this paper is to study on masculinity and more importantly the hyper masculinity of the Gurkhas in Imperial Warriors: Britain and the Gurkhas by Tony Gould. The writer describes the courage with discipline and dedication, the Gurkhas had while fighting for Nepal, their homeland during the Anglo-Nepal War (1814-1816) and for Britain in the First and Second World Wars, following the other wars and confrontations in many parts of the world. Despite a lot of hardships and pain in wars, they never showed their back to the enemies, but kept Britain’s imperial image always high with victories. They received Victoria Crosses along with other bravery medals. As a masculinity, the hegemonic masculinity is obviously present in the book since the high ranked British Officers are in the position to lead the Gurkha soldiers. However, the masculinity here is associated with the extreme level of bravery and that is the hyper-masculinity of the Gurkhas. Since this is a qualitative research work, the researcher has consulted various books, reviews and journal articles related to the Gurkhas. It is a new concept in the study of the Gurkhas in the particular book by Gould. So, it will certainly be a new insight for the future researchers in the related area.

Fish Image Classification by XgBoost Based on Gist and GLCM Features

Classification of fish image is a complex issue in the field of pattern recognition. Fish classification is a complicated task. Physical shape, size, orientation etc. made it complex to classify. Selection of appropriate feature is also a great issue in image classification. Classification of fish image is very important in fishing service and agricultural field, fish industry, survey applications of fisheries and in other related area. For the assessment and counting of fishes, classification of fish image is also necessary as it can save time. This paper presents a fish image classification method with the robust Gist feature and Gray Level Co-occurrence Matrix (GLCM) feature. Noise removal and resizing of image is applied as pre-processing task. Gist and GLCM feature are combined to make a better feature matrix. Features are also tested separately. But combined feature vector performs better than individual. Classification is made on ten types of raw images of fish from two datasets -QUT and F4K dataset. The feature set is trained with different machine learning models. Among them, XgBoost performs with 90.2% and 98.08% accuracy for QUT and F4K dataset respectively.

Handedness effects on motor imagery during kinesthetic and visual-motor conditions

Recent studies show that during a simple movement imagery task, the power of sensorimotor rhythms differs according to handedness. However, the effects of motor imagery perspectives on these differences have not been investigated yet. Our study aimed to check how handedness impacts the activity of alpha (8–13 Hz) and beta (15–30 Hz) oscillations during creating a kinesthetic (KMI) or visual-motor (VMI) representation of movement. Forty subjects (20 right-handed and 20 left-handed) who participated in the experiment were tasked with imagining sequential finger movement from a visual or kinesthetic perspective. Both the electroencephalographic (EEG) activity and behavioral correctness of the imagery task performance were measured. After the registration, we used independent component analysis (ICA) on EEG data to localize visual- and motor-related EEG sources of activity shared by both motor imagery conditions. Significant differences were obtained in the visual cortex (the occipital ICs cluster) and the right motor-related area (right parietal ICs cluster). In comparison to right-handers who, regardless of the task, demonstrated the same pattern in the visual area, left-handers obtained higher power in the alpha waves in the VMI task and better performance in this condition. On the other hand, only the right-handed showed different patterns in the alpha waves in the right motor cortex during the KMI condition. The results indicate that left-handers imagine movement differently than right-handers, focusing on visual experience. This provides new empirical evidence on the influence of movement preferences on imagery processes and has possible future implications for research in the area of neurorehabilitation and motor imagery-based brain–computer interfaces (MI-BCIs).