Science Intelligence Research Articles

The network science of collective intelligence.

In the last few years, breakthroughs in computational and experimental techniques have produced several key discoveries in the science of networks and human collective intelligence. This review presents the latest scientific findings from two key fields of research: collective problem-solving and the wisdom of the crowd. I demonstrate the core theoretical tensions separating these research traditions and show how recent findings offer a new synthesis for understanding how network dynamics alter collective intelligence, both positively and negatively. I conclude by highlighting current theoretical problems at the forefront of research on networked collective intelligence, as well as vital public policy challenges that require new research efforts.

Jaringan Saraf Tiruan Pengenalan Pola Huruf Sistem Matriks dengan Algoritma Hebb Rule

The science of artificial intelligence is currently very developed, this can be seen from the development of patterns and characters of artificial intelligence. This stems from the need to maintain security and information related to data so that it can be adjusted with a confidentiality key in the form of pattern and character lock recognition. Pattern recognition consists of various kinds such as facial recognition patterns and fingerprint patterns. The problem in this study is the lack of understanding in maintaining data confidentiality so that the benefits of this research are able to maintain data confidentiality by using a matrix pattern. This study uses the Hebb rule method to obtain the final results. The matrix variable used is from x1 to x25 input and bias 1 with initial weight value 0, W and M patterns are initialized with character x worth 1 and character o worth -1 with bipolar output, U target 1 and S target -1, function f( net) is 1 if Y >= 0 and -1 if Y < 0. The final result after the search process is obtained the value W = -8 and M=-8which produces the same output as the target and can be recognized

Multi-stage structure of state security (the case of economic and financial security)

Relevance of the research topic. The globalization threats of modernity determine the extreme urgency of the problem of ensuring the national security of any state. A new large-scale challenge for national security of Ukraine was the military aggression of the Russian Federation against Ukraine, a large-scale war that began on February 24, 2022. Under conditions of military aggression, the role and significance of the further development of security are enhanced. Formulation of the problem. Given the relevance and need to deepen the theoretical foundations of security, especially in the context of current warfare, as well as the conceptual definition of mechanisms (tools) for ensuring security in various areas, scientific intelligence of individual components, in particular, economic and financial security, their multi-stage and multi-level nature as economic security studies are required. Analysis of recent research and publications. Such scientists as O. I. Baranovskyi [1], T. H. Vasyltsiv [5], О. А. Grishnova [12], D. V. Nikytenko [8], S. V. Onyshchenko [9], Yu. M. Kharazishvili [12], S. M. Shkarlet [11] and others devoted their works to the study of the problems of economic and financial security. The results of our own scientific research on the problem of economic and financial security are given in [2-4]. Highlighting unexplored parts of the general problem. Despite the existing scientific developments in solving these issues, the relevance and the need for their early study and solution, the issues of multi-stage and multi-level security of Ukraine, in particular, economic and financial security, appropriate and full-fledged scientific studies have not been received and considered mostly fragmentary, which actualizes the topic of research and is (should be) the further development of economic security. Statement of the problem, and the purpose of the study. The subject of the paper is the theoretical, methodical, and methodological aspects of Ukraine's multi-stage and multi-level security, particularly economic and financial security. The purpose of the paper is to reveal the essence and substantiate the theoretical foundations of the multi-stage and multi-level security of the state on the example of the economic and financial security of the state. Method and methodology of research. In the process of conducting scientific research, both general scientific and special methods of scientific knowledge were used. In particular, scientific research methods were used: dialectical — to substantiate the content of theoretical provisions; abstract-logical — to determine the essence of the security of the state and its main economic and financial components; hypothetical-deductive — to build the main working hypotheses about the multi-stage security of the state; system-structural analysis and synthesis — to identify the multi-level composition of economic and financial security. Scope of the results. It is expedient to use the obtained scientific conclusions and results in scientific activities and further study of the actual problems of economic security, in the educational and scientific process of higher education institutions in the preparation of specialists in the specialty 8.18010014 "Management of financial and economic security", in the field of economic and financial security. Conclusions. The role and place of economic and financial security in the system of national security in globalization threats, in particular, in the conditions of military aggression, are determined and disclosed. The author's definition of the science of economic security as an interdisciplinary science about the essence, regularities, and ways of effective protection of national interests from real and potential, exogenous and endogenous threats is given. The multi-stage and multi-level security of the state is determined by the example of the economic and financial components of the security of Ukraine.

System of Forecasting and Formation of Key Areas of Research in the field of Entrepreneurship

Problem setting. The development of science is always an urgent topic for any state, since the level of scientific development has a significant impact on all spheres of social existence (including economic). One of the issues of scientific development, which deserves attention, is the study of scientifically forecasting as an important component of the scientific process. In this context, it is also advisable to determine the role and place of science in society; characterization of the personality of a modern researcher; and identifying key areas of research that require intensification. Analysis of recent researches and publications. In Ukraine, research of scientific forecasting was conducted in the works of M. Holovatyi, O. Vinnyk, H. Znamenskyi, D. Zadykhailo, N. Kostina, V. Matviienko, V. Mamutov. Target of research is to investigate the role and importance of scientific forecasting, determine the place of science in the coordinate system of modern society, form key areas of intensification of research. Article’s main body. The experience of foreign countries, including Asia, demonstrates a significant relationship between science and economic success. In this regard, the urgent issue is the development of domestic science: determining potential barriers, analysis of current regulation, review of existing ideological approaches to science and formation of priority ways of development of the Ukrainian scientific sphere. This article, above all, offers a systematic analysis of existing problems of scientific forecasting as an important component of any science. To this end, the work provides a general description of science in the coordinate system of modern society. The heritage of world literature, containing thorough treatises, which cover the process of origin of science, analysis of the stages of its development and disclosure of mechanisms of knowledge by researchers of social life and nature of phenomena that ensure progress in the development of mankind. Among other things, the article examines the positions of J. Bernand (regarding revolutionary innovations), V. Vernadskiy (regarding the place of history of science), F. Bacon (regarding the classification of science into three components), A. Puankare (regarding the special scientific methods and personality of the researcher) and others. The content of the concept of «science» is revealed. There is a definition of forecasting and its types. It is substantiated that national sectoral and regional programs are part of the forecasting and planning system, which are the main means of implementation of state policy, priority directions of economic, social, environmental, scientific technical development of Ukraine. The development of methods of forecasting research works and long-term forecasts of development of computer technology is considered. The question of the personality of the modern scientist is considered. There is an increased importance of such individual personality quality as intuition. The tangible role of small and medium -sized enterprises in scientific development is stated. The need to improve the existing law enforcement system for small and medium-sized enterprises is indicated for the purpose of rational and productive use of existing scientific potential. The conducted research gives grounds for the author’s proposals of seven key areas of intensification of scientific research. Conclusions and prospects for the development. A proper system of scientific forecasting and planning plays a leading role in the scientific development of any country. The importance of this type of activity suggests that the expediency of introducing scientific forecasting as an independent stage of scientific research. In order to prepare correct scientifically sound forecasts, a number of factors (such as the results of sociological research, generalization of the practice of executing officially approved measures, the provisions of the National Economic Development Strategy by 2030) and to focus on the needs of entrepreneurs, the experience of advanced economies of the world and the preliminary achievements of domestic science. Analysis of the personality of a modern researcher gives grounds to claim that the experience of analytical work and the possession of the methodology for forecasting and deep scientific intelligence in any scientist. However, it is noted that the quality and prompt development of a modern researcher depends significantly on the intuition. The necessary step for the development of domestic science can be considered the refinement of existing developments of continuous scientific forecasting to the level of modern IT technologies; creation of typical software of these processes; formation in each field of research a list of problems for launching a global forecasting ecosystem; Formation of a team of experts from among the specialists of employed development of certain problems. According to the results of the study, seven proposals have been developed on key areas of intensification of research.

The new science of intelligence

The new science of intelligence

A Study on the Application of Deep Learning Methods Based on Nonlinear Random Matrices in the Design of Intelligent Research Management System

The database of the intelligent science management system includes the exchange of data between the basic data of the school and the various business systems, with centralised storage and centralised management, constituting a unified data centre. The completed intelligent science management system will become a reliable source of data to integrate the system to be developed with existing systems, making the data of the whole system unified, thus providing reliable data for information enquiry and decision analysis within the university, and laying a good foundation for the construction of the digital campus. The NRM_DeepNet model is an application model of the deep learning method of the nonlinear random matrix in the intelligent research management system, mainly in data processing and analysis, using deep learning technology for data classification processing, and then for research data modal feature extraction, the process of modal extraction applies the nonlinear random matrix for feature weighting. In the process of modal extraction, a nonlinear random matrix is applied to weight the features, and finally, different research data features of different research projects can be classified as intelligent and regularised. In this paper, we combine the practice of scientific research management, introduce the nonlinear random matrix and deep learning technology into the intelligent scientific research management system, and update its data and system management so as to realize intelligent and humanised scientific research management, thus reducing the labour intensity and improving the efficiency of scientific research work.

Research on the Cultivation Mechanism of "Five Integrations " Oriented to Industrial Demand

In recent years, with regard to the training of engineering talents, the phenomenon that theoretical knowledge and practical skills can not be well combined has become increasingly prominent, and it is urgent to reform and innovate the training mode and standards of engineering talents. At the same time, the reform of training mode should adhere to the development needs and problem-driven of national talents. This paper intends to study the training standards of new engineering talents, take coping with changes and shaping the future as the construction concept, take inheritance and innovation, cross-integration, coordination and sharing as the main ways, take training high-quality engineering and technical applied talents in the field of artificial intelligence as the goal, take the development needs of modern industry as the guidance, and combine with the discipline characteristics of the school. This paper studies the innovative construction mode of "Intelligent Science and Technology" specialty, and explores the establishment of "five integrations" training mechanism of enterprises and universities integration, science and education integration, universities integration, three-innovation integration and disciplines integration.

Study on the Construction Mode of Curriculum System of Intelligent Science and Technology under the New Engineering Discipline

With the rapid development of the field of artificial intelligence, China is paying more and more attention to the cultivation of professional talents related to artificial intelligence. As an emerging cross-cutting discipline, our university has built a curriculum system for the major of intelligent science and technology, which is a collaborative platform of "industry, science, education and innovation" for the training of talents for new industries and new engineering disciplines. It also provides reference and inspiration for other majors in our university to implement the new engineering construction.

783TiP Phase I study of HFB301001, a novel OX40 agonist monoclonal antibody, in patients with solid tumors selected via Drug Intelligence Science (DIS)

OX40 agonist antibodies have shown promising preclinical activity but limited clinical success thus far, likely owing to a suboptimal pharmacological profile, inappropriate dosing regimen, and lack of a biomarker strategy for patient selection. HFB301001 is a novel human IgG1 agonist antibody that binds to a unique epitope on OX40 allowing for agonistic activity without competing with the endogenous OX40 ligand, inducing minimal OX40 downregulation upon co-stimulation of T cells. Also, HFB301001 can both enhance effector T cells and deplete regulatory T cells. It demonstrated more potent in vivo anti-tumor activity than a benchmark OX40 agonist, suggesting potentially superior patient benefit compared to first generation OX40 antibodies. HFB301001 is being evaluated in a first-in-human, open-label, multi-center, dose escalation and expansion study in adult patients with advanced solid tumors. It is hypothesized that high levels of OX40 expression associated with effector T cells or T regulatory cells in solid tumors may represent a tumor microenvironment more sensitive to OX40 agonism. Based on this, the following cancer indications have been prioritized using DIS (Drug Intelligence Science is a HiFiBiO Inc. trademark): soft tissue sarcoma (STS), uterine carcinosarcoma (UCS), renal cell carcinoma (RCC), head and neck squamous cell carcinoma (HNSCC), and hepatocellular carcinoma (HCC). The dose escalation portion of the study explores increasing doses in four cohorts of up to six patients, utilizing an mTPI-2 design to determine recommended dose(s) for expansion (RDE(s)). Once the RDE(s) is determined, expansion of up to 5 cohorts is planned to determine the recommended phase 2 dose (RP2D). The primary objective is to characterize safety and tolerability of HFB301001, and to determine RDE(s) and RP2D. Secondary objectives include pharmacokinetic parameters, preliminary evidence of anti-tumor efficacy, and pharmacodynamic evaluation in blood and tumor. Furthermore, a potential predictive biomarker signature derived based on the DIS™ single-cell immune profiling platform will be investigated. NCT05229601. HiFiBiO Inc.

Kliuchovi aspekty transnatsionalnoi praktyky zapobihannia koruptsii ta perspektyvy yikh realizatsii v Ukraini

The relevance of scientific intelligence is that the existing problem of preventing corruption is not only a national problem, but also a global problem. The purpose of the article is to study the international experience in preventing corruption offenses in order to implement it in domestic law. The methodological basis of our scientific article is a system of methods and techniques of scientific knowledge, namely: systems analysis, comparative-implementation method, statistical method, retrospective method. The article provides a systematic review of international concepts for the prevention of corruption offenses. It is noted that in the current globalization processes that take place in modern society, the need to implement positive foreign experience in the system of current legislation of Ukraine is extremely important. A thorough analysis of a number of measures of the highly developed states aimed at preventing corruption offenses was also carried out. Positive experience of the states with the lowest level of corruption is positioned, indicating the ways to achieve such a result. The article analyses the anti-corruption strategies of such countries as Singapore, the Netherlands, Belgium, Israel, the United States of America, the Slovak Republic, Germany and Poland. Attention is drawn to the fact that in countries with low levels of corruption, repressive measures prevailing in anti-corruption models are combined with the comprehensive elimination of the determinants of corruption offenses. The article notes that the latest strategy to prevent corruption always requires the development of active cooperation between government agencies, law enforcement agencies and civil society in preventing and combating corruption offenses. At the same time, an important determinant of preventing corruption offenses is the growth of social consciousness. Emphasis is placed on the fact that corruption offenses are an extremely dangerous phenomenon, which, unfortunately, is common to all countries of the modern world. It is noted that a number of foreign countries have managed to create a modern and effective algorithm for preventing and combating corruption offenses. Taking into the consideration the European vector of our state, there is an urgent need to create and implement a new anti-corruption policy, taking into account the positive aspects of existing international experience.

Implementation of modern technical means of training in the system of special physical training of future officers

According to the results of the monitoring of specialized Internet sources, the analysis of scientific and methodological and reference literature, the members of the research group established, that the issue of introducing highly functional cardio machines into the system of special physical training of future officers of the National Guard of Ukraine (representatives of the security and defense sector of Ukraine with law enforcement functions) – an insufficient number of scientific and methodical works is devoted to it, which requires further scientific investigations and emphasizes the relevance and practical component of the chosen direction of research. The main goal of the study is the development and approval of the draft regulatory framework for the introduction of a ski simulator into the system of special physical training of future officers of the National Guard of Ukraine «Concept 2 Skierg». The following methods were used during the research: abstraction, analysis and synthesis, induction (deduction), modeling, mathematical and statistical (correlation analysis, factor analysis), etc. As a result of the empirical study, the members of the research group developed and tested a draft regulatory framework for the introduction of a ski simulator into the system of special physical training of future officers of the National Guard of Ukraine «Concept 2 Skierg». In addition, the conditions for performing experimental physical exercise 32 g. Functional endurance have been developed (with the use of a ski simulator «Concept 2 Skierg») and relevant normative indicators for determining the level of special physical fitness of representatives of the studied category. The results of a theoretical study of the introduction into the system of special physical training of cadets of the Kyiv Institute of the National Guard of Ukraine and the National Academy of the National Guard of Ukraine. Suggestions for implementation of exercise 32 g. Functional endurance (using a cardio machine «Concept 2 Skierg») provided for consideration by specialists of the department of physical training and sports of the department of professional training of the National Guard of Ukraine. Prospects for further research in the chosen field of scientific intelligence provide for the improvement of the arsenal of service-applied martial arts (hand-to-hand combat) of servicemen of the National Guard of Ukraine, considering the available combat experience.

Closing the gender gap in science: new evidence from urban China

ABSTRACT In this paper, we analyze recently collected data that conducts a unique assessment of high school student performance for over two thousand students from five Chinese provinces. Across three domains of scientific intelligence tested, we document heterogeneous gender gaps in academic performance. These differences generally arise due to differential productivity of inputs to the education production process and not differential levels of inputs. At many quantiles of the achievement distribution, girls perform better than boys when identifying scientific issues, whereas the converse holds on the portion of the assessment that measures whether one can apply scientific evidence. These differences may partially explain the subsequent gap in decision to major in specific STEM disciplines in college. Further, our results imply caution from using a single summative gender achievement gap measure when gender gaps in subject knowledge are not constant across each domain of intelligence examined within the test.

Engaging the racist science of human intelligence: Towards a more just science education future

Engaging the racist science of human intelligence: Towards a more just science education future

Methods of occupational therapy for trainers who specialize in Martial Arts after treatment of coronavirus disease

Considering the results of the analysis of scientific-methodical, special and reference literature, the members of the research group established, that the issue of introduction into the system of self-education of trainers specializing in wrestling and other martial arts modern methods of physical therapy, occupational therapy after treatment of coronavirus disease Covid-19 (SARS-CoV-2, or 2019-nCoV) – insufficient number of scientific and methodical works is devoted. This requires further theoretical and empirical research and is an important area of scientific research.
 The main purpose of the study is to develop and test methods of occupational therapy for trainers, specializing in Sambo wrestling and combat Sambo after coronavirus disease treatment. In the process of research and analytical work, the following research methods were used: abstraction, analysis, deduction, induction, mathematical and statistical (correlation analysis, factor analysis), modeling, synthesis, etc.
 As a result of empirical research, members of the research group developed and tested the method of occupational therapy for trainers, specializing in Sambo wrestling and combat Sambo after coronavirus disease treatment. The introduction of the above experimental technique in the system of occupational therapy trainers of the experimental group provided an increase in their efficiency at the stage of recovery after treatment of coronavirus disease (considering various post Covid-19 symptoms). This helped to increase the competitive activity of subordinate athletes who specialize in sports and combat Sambo (according to the analysis of protocols of competitions of various ranks). It should be emphasized that the positive changes in the control group were not significant, but - natural, as the motor activity of the individual in the recovery phase after injuries and illnesses to some extent contributes to the restoration of his ability to work. In turn, this is not enough for effective professional activity, which is confirmed by real empirical research. Prospects for further research in the chosen direction of scientific intelligence include determining the nature and structure of the readiness of martial arts trainers to build rational tactical schemes.

Perancangan Alat Identifikasi Wajah Dengan Algoritma You Only Look Once (YOLO) Untuk Presensi Mahasiswa

Presence is an important thing in educational world especially higher education. One of students’ success keys is in their presence because it has correlation to the learning quantity carried out by a college student. Some colleges whose learning conducted face to face still use conventional way by using attendant list sheet until this system is felt less effective in the middle of digitalization development marked by the increase of technology usage. Face recognition attendance technology is a technology which can be adapted from one of artificial intelligence science namely machine learning. Machine learning with deep learning branch becomes the solution which eases human’s work. In its process, face recognition requires certain accurate face detection with certain algorithm. In this research, the method used was You Only Look Once (YOLO) algorithm where to follow some research which had been conducted previously it has high accuracy in face prediction. The test results obtained an average accuracy of 0.9793 by paying attention to parameters such as lighting and real-time sending to the website. Through this research, it is hoped that the attendance process will be more effective and can be monitored by lecturers.

Learner satisfaction-based research on the application of artificial intelligence science popularization kits.

The application of artificial intelligence science popularization kits in maker courses has promoted the rapid development of maker education. However, there exist few theoretical and empirical studies on the application of artificial intelligence science popularization kits in maker education. The theory of learner satisfaction can be used to explain learner motivation and outcomes with regard to participation in maker education using the artificial intelligence suite. Therefore, taking advantage of the opportunity the Zhejiang Action Plan for Promoting the Development of New Generation Artificial Intelligence (2019–2022) has provided, this study first conducted semi-structured interviews based on the results of a literature review and a questionnaire survey and then performed Pearson correlation analysis and regression analysis using SPSS 24.0 to explore the influencing factors of students’ satisfaction with the use of artificial intelligence science popularization kits in education. The following results were obtained. (1) The correlation between grades and learners’ satisfaction is not significant. (2) The use of a high-quality artificial intelligence science suite in the classroom will positively impact learners’ satisfaction. (3) The degree of interaction with the artificial intelligence suite is negatively correlated with learners’ satisfaction. (4) Teaching adaptability is significantly positively correlated with learner satisfaction. (5) Learners’ individual characteristics have no significant positive correlation with learner satisfaction. Therefore, this study recommends focusing on suite quality, improving human–computer interaction, adopting a student-centered strategy, and aiming at improving the suitability of the curriculum.

Formation of readiness of future officers of institutions of the SDSU, who specialize in practical shooting for competitive activities in simulated pedagogical conditions

According to the results of the analysis of scientific-methodical, special and reference literature, the members of the research group established, that the issue of comprehensive support of the system of long-term training of cadets of higher military educational institutions of the security and defense sector of Ukraine, specializing in practical shooting for competitive activities – insufficient number of scientific and methodical works is devoted, which requires further scientific research and emphasizes the relevance and practical component of the chosen direction of research. The main purpose of the study is to develop and test the pedagogical conditions for the formation of readiness of cadets of the National Academy of the National Guard of Ukraine (NANGU) and Kharkiv National University of Internal Affairs (KhNUIA), who specialize in practical shooting for competitive activities. The following methods were used in the study (at the empirical level): abstraction, analysis and synthesis, induction (deduction), modeling, mathematical and statistical (correlation analysis, factor analysis), etc. As a result of empirical research, members of the research group developed and tested the pedagogical conditions for the formation of readiness of NANGU and KhNUIA cadets, who specialize in practical shooting for competitive activities. According to the results of mathematical and statistical processing of the available array of digital data, it was found that the proposed pedagogical conditions contributed to improving the accuracy of shots by cadets Eg from different samples of small arms during the practice of shooting exercises. In addition, the representatives of Eg in contrast to the cadets of Eg more energetically developed skills of tactical movement in the simulated conditions of training and combat activities. In turn, the emphasis on the use of physical and special physical training in combination with a set of applied shooting exercises helped to increase the success rate of fire training in the representatives of Eg in contrast to the studied cadets Kg. Prospects for further research in the chosen area of scientific intelligence include determining the essential characteristics of the readiness of future officers of the National Guard of Ukraine to use anti-tank missile system "Stugna-P" in different conditions of combat (operational) activities.

Prediction of Research Hotspots Based on LSTM: Taking Information Science as Example.

Detection and identification become the prediction of future research hotspots in the discipline, which is important to grasp the current status and development trend of the discipline research. In this paper, we use the cumulative topic heat model to calculate the research heat of each research topic in intelligence science from 2000 to 2020 and use the first 70% of the data as the training set, use the LSTM model for prediction, and construct the ECM model for error correction. The actual topic hotness of intelligence science for the latter 30% of data was used as the validation set to verify the effectiveness of the method. It was found that the average deviation rate of the method's prediction results fluctuated between 9.75% and 12.68%, and the average number of error entries was about 0.161, which had high validity. The study also predicts that by 2025, topics such as “crisis warning” and “health information services” in intelligence will continue to rise in popularity and “scientific data” and “data mining” will continue to rise in popularity. The hotness of “data mining” will remain stable, while the hotness of “citation analysis” and “ontology” will gradually decline.

Abstract 4248: HFB200603, a novel anti-BTLA monoclonal antibody that provides therapeutic potential for immune escape and synergizes with anti-PD-1 treatment

Abstract BTLA is a co-inhibitory immune checkpoint molecule sharing sequence and structural homology with PD-1 and CTLA4. Ligation of HVEM with BTLA induces recruitment of SHP1 and SHP2, and triggers inhibition of T cell proliferation and cytokine production. In melanoma, HVEM is described to have a broader expression than PD-L1 and constituted a negative prognostic marker; in PD-L1 negative NSCLC, the expression of HVEM has been shown to contribute to immune escape. Therefore BTLA-HVEM axis could play an important role in the immune escape, thus BTLA blockade in combination with PD-1/PD-L1 blockade could represent an effective therapeutic option. Using our proprietary microfluidic-based single cell platform CelliGO™, we identified a series of anti-human BTLA antibodies that were characterized for their binding affinity, cross-reactivity, selectivity and functional activity. Amongst them, HFB200603 was identified as a single-digit nanomolar binder to human and cynomolgus BTLA, capable of reversing HVEM-mediated immune suppression in a BTLA-HVEM reporter system and in a primary CD4+ T cell proliferation assay. HFB200603 showed synergistic effect with anti-PD-1 to enhance IFN-γ production in an MLR assay, and demonstrated favorable developability and pharmacokinetic profiles. Profiling of tumor infiltrating lymphocytes demonstrated that BTLA+PD-1+ T cells are present in melanoma, NSCLC, and HCC. Blockade of the BTLA-HVEM interaction with HFB200603 alone or in combination with anti-PD-1 led to increases in IFN-γ, CXCL9, IP-10 and other proinflammatory cytokines in primary dissociated tumor cultures. Based on its favorable pharmacological activity and excellent developability, HFB200603 is currently being developed as a potential novel immunotherapy coupled with a patient biomarker strategy derived from HiFiBiO’s Drug Intelligent Science (DIS™) single-cell immune profiling platform. Citation Format: Juying Li, Qian Zhang, Bingqing Shen, Manan Shah, Mingjie Chen, Sharon Li, Ling Dong, Francisco Adrian, Liang Schweizer. HFB200603, a novel anti-BTLA monoclonal antibody that provides therapeutic potential for immune escape and synergizes with anti-PD-1 treatment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4248.

Green financial risk management based on intelligence service

Risk management is an important issue of green finance, and it is also a prominent issue of green economic development. The resolution of green financial risk will help protect the interests of all stakeholders and promote the development of green finance. This study suggests that intelligence service provides new ideas and ways for green financial risk management. Applying intelligence service to green financial risk management will contribute to the sustainable development of green finance and enrich the theoretical system of intelligence science. This study first builds an intelligence service system of green financial risk management from five aspects: intelligence demand, intelligence collection, intelligence processing, intelligence application, and intelligence tracking. A questionnaire is designed based on this system. The first batch of green finance pilot cities in China (Ganjiang, Gui'an, Guangzhou, Huzhou, Quzhou, Changji, Hami, and Karamay) are investigated. This study uses a regression model to analyze the data and analyzes the intelligence service status of green financial risk management in pilot cities. The research divides those green finance pilot cities into eastern, central, and western regions. It shows obvious differences in the intelligence service elements in the eastern, central, and western regions of green financial risk management. The eastern region pays more attention to the three elements of intelligence demand, intelligence application, and intelligence tracking when carrying out green financial risk management. In the process of green financial risk management in the western region, there are obvious deficiencies in the two elements of intelligence collection and intelligence processing, which may be due to the lack of advanced digital equipment and effective digital resource. The central region lies between the eastern and western regions on intelligence service of green financial risk management. Based on the above results, this study proposes that establishing an intelligence center, sharing intelligence resources, improving digital technology, and updating intelligence cases can enhance the effectiveness of intelligence service in the risk management of green finance.