Physical Sciences and Mathematics Commons^™

Developing Ecological Security Pattern For Coastal Wetlands Based On “Three-Line Integration” Spatial Strategy, Xiaowen Li, Liehui Zhi, Tiantian Ma, Zengli Liu, Baoshan Cui, Dongdong Shao, Yu Cao, Yonglin Mu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Coastal wetlands function as key socioeconomic resources as well as ecological barriers for sustainable development in coastal regions. Although previous research and practices indicate that restoration of degraded wetlands needs combination with intact natural wetlands to achieve best integrated ecosystem services, this kind of integration is still lacking both in research and practice. In the past decades, increased land reclamation coupling with climate change (e.g. sea level rise) have led considerable coastal squeeze effects and intensified degradation and loss in coastal wetlands along Chinese coastline, restoration of damaged coastal wetlands is therefore urgently needed to enhance the overall ecological functions …

Mission Of New Energy Under Carbon Neutrality Goal In China, Caineng Zou, Yanpeng Chen, Bo Xiong, Hanlin Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Reducing greenhouse gas emissions, curbing the global temperature rise, and striving to achieve the goal of carbon neutrality are the initiatives and common pursuit of human beings confronting the climate change crisis. Carbon neutrality is a huge systemic project involving multiple disciplines and fields, and it requires a solid theoretical foundation and scientific methods to achieve the goal of carbon neutrality, hence the emergence of carbon neutrality science. The theoretical connotation of carbon neutrality includes two "dynamic balances", namely, the dynamic balance between global carbon emission and carbon absorption, and the dynamic balance between human development and the natural environment, …

Development Opportunities And Technical Challenges Of Industrialization For Hydrogen Production From Bio-Ethanol Reforming, Xue Han, Hong He, Guojun Yue, Hailong Lin, Jinsong Liu, Bin Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Bio-ethanol reforming for hydrogen production, using renewable raw materials and adopting mature and efficient chemical processes, is an important source of green hydrogen supply to achieve the goals of carbon peaking and carbon neutrality. Bio-ethanol is a widely used substitute for fossil fuels. With the continuous progress of cellulosic ethanol technology in recent years, bio-ethanol will gradually break through the constraints of starch-based raw material supply. Based on the industrialization achievements of hydrogen production and bio-ethanol, bio-ethanol reforming can realize a rapid linkage with the existing hydrogen energy industry. However, the existence of a carbon-carbon signal bond in ethanol poses …

Shale Oil Development And Utilization And Its Role In Energy Industry, Xusheng Guo, Maowen Li, Mengyun Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Shale oil boom in the United States has catapulted it from an importer of crude oil to a net exporter. Field applications show that both the shift in exploration paradigm from finding traps to targeting resource-rich petroleum source kitchens (i.e., "sweet spots") and the technological innovation represented by horizontal well multi-stage fracturing are among the key factors for the large-scale development of shale oil in the United States. Compared with marine shale oils in North America, China's lacustrine shale oil resources have great potential, but the endowment conditions are not optimal. Early exploration and development experience shows that the adaptive …

Muon-Electron Scattering At Nnlo, A. Broggio, T. Engel, Andrea Ferroglia, M. K. Mandal, P. Mastrolia, M. Rocco, J. Ronca, A. Signer, W. J. Torres Bobadilla, Y. Ulrich, M. Zoller

Publications and Research

We present the first calculation of the complete set of NNLO QED corrections for muon-electron scattering. This includes leptonic, non-perturbative hadronic, and photonic contributions. All fermionic corrections as well as the photonic subset that only corrects the electron or the muon line are included with full mass dependence. The genuine four-point two-loop topologies are computed as an expansion in the small electron mass, taking into account both, logarithmically enhanced as well as constant mass effects using massification. A fast and stable implementation of the numerically delicate real-virtual contribution is achieved by combining OPENLOOPS with next-to-soft stabilisation. All matrix elements are …

Teaching By Practice: Shaping Secure Coding Mentalities Through Cybersecurity Ctfs, Jazmin Collins, Vitaly Ford

Journal of Cybersecurity Education, Research and Practice

The use of the Capture the Flag (CTF)-style competitions has grown popular in a variety of environments as a method to improve or reinforce cybersecurity techniques. However, while these competitions have shown promise in student engagement, enjoyment, and the teaching of essential workforce cybersecurity concepts, many of these CTF challenges have largely focused on cybersecurity as a general topic. Further, most in-school CTF challenges are designed with technical institutes in mind, prepping only experienced or upper-level students in cybersecurity studies for real-world challenges. Our paper aims to focus on the setting of a liberal arts institute, emphasizing secure coding as …

Lightweight Pairwise Key Distribution Scheme For Iots, Kanwalinderjit Kaur

Journal of Cybersecurity Education, Research and Practice

Embedding a pairwise key distribution approach in IoT systems is challenging as IoT devices have limited resources, such as memory, processing power, and battery life. This paper presents a secure and lightweight approach that is applied to IoT devices that are divided into Voronoi clusters. This proposed algorithm comprises XOR and concatenation operations for interactive authentication between the server and the IoT devices. Predominantly, the authentication is carried out by the server. It is observed that the algorithm is resilient against man-in-the-middle attacks, forward secrecy, Denial of Service (DoS) attacks, and offers mutual authentication. It is also observed that the …

Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman

Journal of Cybersecurity Education, Research and Practice

The Cybersecurity Ambassador Program provides professional skills training for emerging cybersecurity professionals remotely. The goal is to reach out to underrepresented populations who may use Federal Work-Study (FWS) or grant sponsored internships to participate. Cybersecurity Ambassadors (CAs) develop skills that will serve them well as cybersecurity workers prepared to do research, lead multidisciplinary, technical teams, and educate stakeholders and community members. CAP also reinforces leadership skills so that the next generation of cybersecurity professionals becomes a sustainable source of management talent for the program and profession. The remote curriculum innovatively builds non-technical professional skills (communications, teamwork, leadership) for cybersecurity research …

Risk Perceptions About Personal Internet-Of-Things: Research Directions From A Multi-Panel Delphi Study, Paul M. Di Gangi, Barbara A. Wech, Jennifer D. Hamrick, James L. Worrell, Samuel H. Goh

Journal of Cybersecurity Education, Research and Practice

Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We conduct a sequential, mixed-methods study using multi-panel Delphi and thematic analysis techniques to understand consumer risk perceptions. The results identify four themes focused on data exposure and user experiences within IoT devices. Our thematic analysis also identified several emerging risks associated with the evolution of IoT device functionality and its potential positioning …

Cybersecurity Continuity Risks: Lessons Learned From The Covid-19 Pandemic, Tyler Fezzey, John H. Batchelor, Gerald F. Burch, Randall Reid

Journal of Cybersecurity Education, Research and Practice

The scope and breadth of the COVID-19 pandemic were unprecedented. This is especially true for business continuity and the related area of cybersecurity. Historically, business continuity and cybersecurity are viewed and researched as separate fields. This paper synthesizes the two disciplines as one, thus pointing out the need to address both topics simultaneously. This study identifies blind spots experienced by businesses as they navigated through the difficult time of the pandemic by using data collected during the height of the COVID-19 pandemic. One major shortcoming was that most continuity and cybersecurity plans focused on single-axis threats. The COVID-19 pandemic resulted …

Alpha Phi-Shing Fraternity: Phishing Assessment In A Higher Education Institution, Marco Casagrande, Mauro Conti, Monica Fedeli, Eleonora Losiouk

Journal of Cybersecurity Education, Research and Practice

Phishing is a common social engineering attack aimed to steal personal information. Universities attract phishing attacks because: 1) they store employees and students sensitive data, 2) they save confidential documents, 3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of Redacted aimed to identify the people, and the features of such people, that are more susceptible to phishing attacks. We delivered phishing emails to 1.508 subjects in three separate batches, collecting a clickrate equal to 30%, 11% and 13%, respectively. We considered several features (i.e., age, gender, role, working/studying field, email template) …

Workforce Of The Future Begins With Aviation Stem, Lyndsay Digneo

National Training Aircraft Symposium (NTAS)

The United States has always been a world leader in aviation. This leadership position relies on the strength of the American STEM workforce and the quality of the nation’s educational, industrial, and government institutions. Therefore, it is imperative to nurture today’s students to become a well-trained STEM workforce in the future.

The Federal Aviation Administration (FAA) William J. Hughes Technical Center (WJHTC) recognizes that in pursuing its mission of aviation research, engineering, development, and test and evaluation, it is in a unique position to support aviation STEM activities for schools (K-12), post-secondary institutions, and community organizations. In 2016, the Technical …

A Bidirectional Deep Lstm Machine Learning Method For Flight Delay Modelling And Analysis, Desmond B. Bisandu, Irene Moulitsas

National Training Aircraft Symposium (NTAS)

Flight delays can be prevented by providing a reference point from an accurate prediction model because predicting flight delays is a problem with a specific space. Only a few algorithms consider predicted classes' mutual correlation during flight delay classification or prediction modelling tasks. None of these existing methods works for all scenarios. Therefore, the need to investigate the performance of more models in solving the problem of flight delay is vast and rapidly increasing. This paper presents the development and evaluation of LSTM and BiLSTM models by comparing them for a flight delay prediction. The LSTM does the feature extraction …

Integrated Organizational Machine Learning For Aviation Flight Data, Michael J. Pritchard, Paul Thomas, Eric Webb, Jon Martin, Austin Walden

National Training Aircraft Symposium (NTAS)

An increased availability of data and computing power has allowed organizations to apply machine learning techniques to various fleet monitoring activities. Additionally, our ability to acquire aircraft data has increased due to the miniaturization of small form factor computing machines. Aircraft data collection processes contain many data features in the form of multivariate time-series (continuous, discrete, categorical, etc.) which can be used to train machine learning models. Yet, three major challenges still face many flight organizations 1) integration and automation of data collection frameworks, 2) data cleanup and preparation, and 3) embedded machine learning framework. Data cleanup and preparation has …

Aircraft Energy Management: A Best Practice For Integrating Safety And Efficiency, Juan Merkt

National Training Aircraft Symposium (NTAS)

Aircraft Energy Management: A Best Practice for Integrating Safety and Efficiency

The airplane is the quintessential energy system, constantly transforming, transferring, distributing, storing, and exchanging various forms of energy as it moves through the air. By its very nature, flight warrants safe and efficient management of the airplane’s energy. Thus, poor aircraft energy management can lead to unsafe and/or inefficient operations. Unfortunately, energy principles associated with motion control and performance have not found their way into civilian flight training. As a result, energy management skills, founded on those guiding principles, are not adequately taught to new pilots. The energy-training gap …

Burmese Pythons In Florida: A Synthesis Of Biology, Impacts, And Management Tools, Jacquelyn C. Guzy, Bryan G. Falk, Brian J. Smith, Johnd David Willson, Robert N. Reed, Nicholas G. Aumen, Michael L. Avery, Ian A. Bartoszek, Earl Campbell, Michael S. Cherkiss, Natalie M. Claunch, Andrea F. Currylow, Tylan Dean, Jeremy Dixon, Richard Engeman, Sarah Funck, Rebekah Gibble, Kodiak C. Hengstebeck, John S. Humphrey, Margaret E. Hunter, Jillian M. Josimovich, Jennifer Ketterlin, Michael Kirkland, Frank J. Mazzotti, Robert Mccleery, Melissa A. Miller, Matthew Mccollister, M. Rockwell Parker, Shannon E. Pittman, Michael Rochford, Christina Romagosa, Art Roybal, Ray W. Snow, Mckayla M. Spencer, J. Hardin Waddle, Any A. Yackel Adams, Kristen M. Hart

United States Department of Agriculture Wildlife Services: Staff Publications

Burmese pythons (Python molurus bivittatus) are native to southeastern Asia, however, there is an established invasive population inhabiting much of southern Florida throughout the Greater Everglades Ecosystem. Pythons have severely impacted native species and ecosystems in Florida and represent one of the most intractable invasive-species management issues across the globe. The difficulty stems from a unique combination of inaccessible habitat and the cryptic and resilient nature of pythons that thrive in the subtropical environment of southern Florida, rendering them extremely challenging to detect. Here we provide a comprehensive review and synthesis of the science relevant to managing invasive …

National Development And The Sustainability Of Mining In The Atacama Desert, Chile, Dakota Soleil Osgood

Capstone Collection

As climate change continues to intensify on a global scale, efforts have been made to implement renewable energies and progressive technologies. These tools are critical in the shift towards a more sustainable practice, and yet analysis of localized impacts from the development of these mechanisms is inadequate. Chile has been and continues to be a leading country in mineral extraction, with an economic history founded in the mining industry. The establishment of mining in Chile as a progressive tool has aided the social and economic development of the nation. Consequences of mining extraction, however, include intensive environmental degradation, human rights …

Antiproton Collisions With Excited Positronium, M. Charlton, H. B. Ambalampitiya, Ilya I. Fabrikant, I. Kalinkin, D. V. Fursa, A. S. Kadyrov, I. Bray

Department of Physics and Astronomy: Faculty Publications

We present results of calculations of several processes resulting from positronium (Ps) collisions with antiprotons: antihydrogen formation, Ps breakup, and n_Ps-changing collisions. Calculations utilize the quantum convergent close-coupling (CCC) method and the classical trajectory Monte Carlo (CTMC) method. We identify a region of Ps principal quantum numbers n_Ps and Ps energies where the classical description is valid and where the CCC calculations become computationally too expensive. This allows us to present the most complete and reliable set of cross sections in a broad range of n_Ps and initial orbital momentum quantum numbers lPs which are necessary …

Essential Oils Composition And Biological Activity Of Chamaecyparis Obtusa, Chrysopogon Nigritanus And Lavandula Coronopifolia Grown Wild In Sudan, Loai M H Eltayeb, Sakina Yagi, Hanan M M Mohamed, Gokhan Zengin, Mohammad Ali Shariati, Maksim Rebezov, Abdullah Ibrahim Uba, Jose Manuel Lorenzo

College of Science & Mathematics Departmental Research

Generally, there are scant data about the constituents and eventually the biological activity of essential oils (EOs) from aromatic plants that grow naturally in Sudan. The present study aimed to determine the chemical composition, and antioxidant and enzyme inhibitory activities of EO extracted from the fruit of Chamaecyparis obtusa (Siebold and Zucc.) Endl. (family Cupressaceae), root of Chrysopogon nigritanus (Benth.) Veldkampis (family Poaceae) and aerial part of Lavandula coronopifolia Poir (family Lamiaceae). The fruit of C. obtusa contained only monoterpenes, mainly hydrogenated ones, with α-pinene (69.07%) as the major component. Oxygenated sesquiterpenes comprised the highest content of the C. nigritanus …

2023 January 19 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Making Minnesota A Model For Energy Storage Policy, Max Meyer

Minnesota Journal of Law, Science & Technology

No abstract provided.

Semantic Orientation Of Crosslingual Sentiments: Employment Of Lexicon And Dictionaries, Arslan Ali Raza, Asad Habib, Jawad Ashraf, Babar Shah, Fernando Moreira

All Works

Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites. Social media users express their feelings in conversations through cross-lingual terms, intensifiers, enhancers, reducers, symbols, and Net Lingo. However, the generic Sentiment Analysis (SA) research lacks comprehensive coverage about such abstruseness. In particular, they are inapt in the semantic orientation of Crosslingual based code switching, capitalization and accentuation of opinionative text due to the lack of annotated corpora, computational resources, linguistic processing and inefficient …

Research On Intelligent Optimization Method Of Combat Sos Based On Gabc Algorithm, Hucheng Zhang, Jingyu Yang

Journal of System Simulation

Abstract: In order to solve the problem that exploratory simulation can not traverse the solution space quickly, and provide the auxiliary decision-making scheme in real time, a genetic algorithm based on classifier is proposed. The framework of simulation optimization method based on the algorithm is established. It can find the optimal solution according to the dynamic changes of key factors and decision targets of the system, which is suitable for such as seeking the best efficiency-cost ratio scheme and the optimization of the optimal power deployment and other systems. Based on the simulation bed system of the National Defense …

Modulation Recognition Method Of Mixed Signal Based On Intelligent Analysis Of Cyclic Spectrum Section, Yu Du, Xinquan Yang, Jianhua Zhang, Suchun Yuan, Huachao Xiao, Jingjing Yuan

Journal of System Simulation

Abstract: Aiming at the problems of low intelligence and poor adaptability for the existing mixed signal recognition methods, an intelligent recognition method based on cyclic spectral cross section and deep learning is proposed. For common mixed communication signals, the characteristics of zero frequency cross section of cyclic spectrum are theoretically deduced and analyzed. Two new pre-processing methods, nonlinear segmental mapping and directional pseudo-clustering are proposed, which can effectively improve the adaptability and consistency of cross section features. The pre-processed feature graph is combined with the residual network (ResNet), and the deep learning network is used to mine and analyze the …

Dynamic Risk Assessment Of Vocs Cross Regional Flow Based On Petri Nets, Guangqiu Huang, He Wang

Journal of System Simulation

Abstract: In order to evaluate the interaction between regions due to the cross regional flow of VOCs(volatile organic compounds) under polluted weather, a dynamic risk assessment method of cross regional flow of VOCs is proposed by using Petri net modeling method. The migration paths of VOCs between multiple potential pollution sources and contaminated areas are determined by HYSPLIT model, and the relationship between each migration path is described by Petri net; the dynamic risk assessment method is defined, and the calculation of dynamic risk is integrated into the operation of functional Petri net; through case analysis, the dynamic risk assessment …

Drosophila Retina Simulation System And The Emergence Of Orientation Selectivity, Ziyu Liu, Yiran Zhuo, Zhuoyi Song

Journal of System Simulation

Abstract: To investigate the biophysical mechanisms underlying the Drosophila retinal computations, a piece of simulation software is constructed. By constructing the connectivity of the optical structure of the Drosophila compound eye with the neural network and retinal neuronal information encoding processes,, the retinal transformation from the light to the electrical signals is simulated. The photo-transduction model is optimized by a stochastic process. The generating mechanism of orientation selectivity (OS) is explored in the Drosophila retina's output neurons through a simulation system. Experiments show that with comparable simulation accuracy, the simulation speed increases by 40 times. The software can now be …

A Multi-Resolution Simulation Modeling Method, Zhaopeng Liu, Xinhai Xu, Bowen Yuan, Jinlu Zhang

Journal of System Simulation

Abstract: Aiming at the resolution gap between the operation task issued by the high-level commanders and the simulation system model instructions in the human-in-the-loop simulation deduction, a multi-resolution modeling method based on behavior tree is proposed. By improving the behavior tree syntax, the low-resolution combat missions are disaggregated into high-resolution simulation system instructions. By designing a decision model embedded in the behavior tree, the problem of resource uncertainty and execution effect uncertainty faced in the execution of model instructions is solved. A combat scenario for seizing air supremacy is designed to verify the effectiveness of the method.

Large-Scale Multi-Objective Natural Computation Based On Dimensionality Reduction And Clustering, Weidong Ji, Yuqi Yue, Xu Wang, Ping Lin

Journal of System Simulation

Abstract: In multi-objective optimization problems, as the number of decision variables increases, the optimization ability decreases significantly. To solve "dimension disaster", a large-scale multi-objective natural computation method based on dimensionality reduction and clustering is proposed. The decision variables are optimized by locally linear embedding(LLE) to obtain the representation of high-dimensional variables in the low-dimensional space, then the individuals are grouped through K-means to select the appropriate guide individuals for the population to strengthen the convergence and diversity. To verify the effectiveness, the method is applied to the multi-objective particle swarm optimization algorithm and the non-dominated sorting genetic algorithm. The convergence …

Research On Modeling And Simulation Of Application Efficiency Of Tactical Medical Equipment, Guowei Lu, Xueqiang Tao, Deguang Duan, Hao Li, Zerui Zhang, En Chen

Journal of System Simulation

Abstract: In view of the lack of effective modeling and simulation means for the current research on the application efficiency of tactical medical treatment equipment in our army, a modeling and simulation research framework for the application effectiveness of equipment through the wounded model, equipment model and evaluation model is constructed. Based on the multi-agent method in Anylogic8.7.0 modeling and simulation platform, the casualty generation and its circulation process among medical treatment equipment are simulated. In the context of a tactical medical exercis, the overall support capability of medical treatment equipment is evaluated scientifically and quantitatively, and the key equipment …

Kif6 Trp719arg Genetic Variant Increases Risk For Thoracic Aortic Dissection, Juan J Velasco, Yupeng Li, Bulat A Ziganshin, Mohammad A Zafar, John A Rizzo, Deqiong Ma, Hui Zang, Asanish Kalyanasundaram, John A Elefteriades

College of Science & Mathematics Departmental Research

Background: KIF6 (kinesin family member 6), a protein coded by the KIF6 gene, serves an important intracellular function to transport organelles along microtubules. In a pilot study, we found that a common KIF6 Trp719Arg variant increased the propensity of thoracic aortic aneurysms (TAA) to suffer dissection (AD). The present study aims for a definite investigation of the predictive ability of KIF6 719Arg vis à vis AD. Confirmatory findings would enhance natural history prediction in TAA. Methods: 1108 subjects (899 aneurysm and 209 dissection patients) had KIF6 719Arg variant status determined. Results: The 719Arg variant in the KIF6 gene correlated strongly …