Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Radar-Embedded Communication Waveform with Low Computational Complexity

Radar-Embedded Communication (REC) is a covert communication technology that utilizes a radio frequency (RF) tag or transponder to embed the communication signal into the radar backscatter. The RF tag must be triggered by the radar signal and quickly generate the required communication waveforms so as to ensure that these communication symbols can be timely and effectively embedded in the radar backscatter pulse. Such an operation poses a great challenge to the response speed of the tag transponder. The traditional method is based on multiple eigenvalue decompositions to generate quasi-orthogonal communication waveforms, which requires a large amount of calculation. This paper proposes a strategy that requires only one eigenvalue decomposition operation. However, such a strategy makes it possible to generate completely orthogonal communication waveforms, and at the same time, it will contribute to a great reduction in the computational pressure of the RF tag. In addition, by simulation analyses, the communication waveform design strategy proposed in this paper does not take the reliability and the low probability of interception (LPI) of the waveform as the cost. On the contrary, under some conditions, communication reliability and LPI characteristics can be improved.
Faster Detection Method of Driver Smoking Based on Decomposed YOLOv5

Aiming at the problem of large computational resource consumption in the existing object detection network for driver smoking detection, a decomposing YOLOv5 network (Dec-YOLOv5) is proposed for optimization. This method uses singular value decomposition (SVD) to split the standard convolution in the pre-trained YOLOv5 network into two simpler convolution operations to reduce the computational cost. The optimized network generated after decomposition does not need to be retrained, which can reduce the number of parameters and calculations while maintaining the detection accuracy of the pre-trained model. The experimental results show that the detection time of Dec-YOLOv5 is only 80% of the original YOLOv5 when the overall detection accuracy reaches 93.5%. At the same time, compared with the current mainstream object detection model, the Dec-YOLOv5 network has a better ability to express the characteristics of the driver’s cigarettes, and the detection accuracy is higher.
A Survey on the Security of PUFs

Physical Unclonable Function (PUF) is an essential security block in security systems, which can be used for authentication and key generation. Its security is related to the security of the entire security system, thus it has received widespread attention and it is necessary for designers and users to know the security threats and solutions for PUFs before working on PUFs. The paper mainly introduces and summarizes a variety of side-channel attacks, machine learning attacks, and corresponding countermeasures for PUFs. Side-channel attacks are usually combined with machine learning attacks to improve the effectiveness of attacks. Attackers can use machine learning methods to achieve mathematical modeling of PUFs and most of the existing PUFs are vulnerable to machine learning attacks.
HIGH-RESOLUTION GLOBAL GEOLOGIC MAP OF CERES FROM NASA DAWN MISSION

Williams, D.L. Buczkowski, D.A. Crown, A. Frigeri, K. Hughson, T. Kneissl, K. Krohn, S.C. Mest, J.H. Pasckert, T. Platz, O. Ruesch, F. Schulzeck, J.E. C. Scully, H.G. Sizemore, A. Nass, R. Jaumann, C.A. Raymond, C.T. Russell. School of Earth and Space Exploration, Arizona State University, Box 871404, Tempe, AZ 85287 (David.Williams@asu.edu); Johns Hopkins University Applied Physics Laboratory, Laurel, MD; Planetary Science Institute, Tucson, AZ; National Institute for Astrophysics, Rome, Italy; UCLA, Los Angeles, CA; Formerly at Freie Universität, Berlin, Germany; German Aerospace Center (DLR), Berlin, Germany; University of Münster, Münster, Germany; MPI for Solar System Research, Goettingen, Germany; ESA-ESTEC, Noordwijk, The Netherlands; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA.
A Pregroup Representation and Analysis of Hindi Syntax

In 1957, Noam Chomsky’s revolutionary treatise, Syntactic Structures [45], established the foundations for a formal study of natural language syntax. Such a study requires the development of a mathematical paradigm where the grammatical structure of the language can be analyzed sans the semantic conditions responsible for the “possibility” or truth-value of the sentence, hence colourless green ideas sleep furiously. The work of Chomskyian linguistics in differentiating shallow and deep structures perpetuated the ideas of a rigid motif of structural integrity to language, which was often challenged by semanticists. However, it established the path of the study of natural language by the medium of syntax, therefore impressing upon the need to understand the sentence structure as a method of analyzing the language in a typologically uniform and relevant manner. In this thesis, we study the computational and representational offshoot of syntactic structures. The development of formal grammars allows mathematicians to leverage simply typed lambda calculus into the study of constituency grammar. This subsection of mathematical linguistics, known as categorial grammar, aims to study the functions responsible for combining constituents in a grammatical manner, viz with a view towards composition and compositional semantics. Theoretical work in this direction was motivated by theories such as AB-grammars [4, 10], Lambek calculus [76], Combinatory Categorial Grammar [124], Tree Adjoining Grammar [65], and Abstract Categorial Grammars [53]. Hindi has been largely underrepresented in these formal analyses of grammar, partly due to lack of exposure and partly due to the underlying strongly motivated syntactic analysis of the Paninian Grammatical Framework [17]. Therefore in this thesis, I aim to use a simplification of the Lambek calculus framework, known as pregroup grammar [78] in order to understand the syntactic phenomena underlying the language, when considered devoid of semantic considerations. Pregroup grammars are a simple categorial grammars which have been used to study languages like Japanese, Sanskrit and Persian, along with English, French, Hungarian and others, ensuring a diverse body of literature and surrounding operators and operations for representing constituency information. In this thesis, I study the basic syntactic features of the Hindi language in terms of the word order, noun phrase characteristics, verb phrase characteristics, and formalize the agreement rules between them. I explore the representation of these properties in a consistent manner without relying on lexical semantic characteristics as much as possible. I then delve into the interoperability of relatively free word order syntactic constituent representations, their exploration in dependency syntax, and some pos-
Approximate Last Iterate Convergence in Overparameterized GANs

In this work, we showed that the Implicit Update and Predictive Methods dynamics introduced in prior work satisfy last iterate convergence to a neighborhood around the optimum in overparameterized GANs, where the size of the neighborhood shrinks with the width of the neural network. This is in contrast to prior results, which only guaranteed average iterate convergence.
Are Papers Asking Questions Cited More Frequently in Computer Science?

In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called “asking papers” is greater by almost 20% than that of other papers, and that this difference is statistically significant.
A Review of Methicillin-Resistant Staphylococcus aureus (MRSA) on Milk and Milk Products: Public Health Importance

Methicillin-resistant Staphylococcus aureus (MRSA) is a pathogenic strain of bacteria in humans and animals that can cause anything from mild to severe infections. Detection of MRSA in foodstuffs of animal origin has been widely reported and has raised public concerns about the transmission of MRSA from foodstuffs of animal origin to humans. There have been many reports of MRSA infections originating from dairy cow's milk, milk products, and MRSA transmission between farmers working in dairy pens and people working in the dairy industry. Significant differences in the spread of cases of MRSA infection originating from milk and milk products have been reported among various countries in the world. This difference may be caused by different livestock production management systems in different countries in the world. Milk and milk products contaminated with MRSA will be a potential transmission of MRSA transmission when consumed by humans and can be a problem for public health. The milking process carried out by farmers and the processing of milk for milk products can be risk factors for transmission of MRSA to humans. Contamination of milk and milk products by MRSA is a major cause of food poisoning. Several antibiotics of choice can be used in treating patients who experience poisoning with milk and milk products such as fluoroquinolone, tetracyclines, lincosamide, and trimethoprimsulfamethoxazole. Adherence to good hygiene practices during milking, processing and handling of dairy cow milk can significantly minimize MRSA contamination of milk and dairy products.
Optimisation of consumption with emission

Our objective is to conduct simulations with economic –environmental mo del. We list the important and causal relationships among the levels and trace the feedback loop structures. In describing an economi c and environmental model we focus on the relations a mong income, consumption, emission, and damage. This paper yields insight into maximization of welf are. Next, we present the simulation runs of the mo del, conducted with the help of existing system dynamics odeling tools.
DeFiHap: Detecting and Fixing HiveQL Anti-Patterns

The emergence of Hive greatly facilitates the management of massive data stored in various places. Meanwhile, data scientists face challenges during HiveQL programming – they may not use correct and/or efficient HiveQL statements in their programs; developers may also introduce anti-patterns indeliberately into HiveQL programs, leading to poor performance, low maintainability, and/or program crashes. This paper presents an empirical study on HiveQL programming, in which 38 HiveQL anti-patterns are revealed. We then design and implement DeFiHap , the first tool for automatically detecting and fixing HiveQL anti-patterns. DeFi-Hap detects HiveQL anti-patterns via analyzing the abstract syntax trees of HiveQL statements and Hive configurations, and generates fix suggestions by rule-based rewriting and performance tuning techniques. The experimental results show that DeFiHap is effective. In particular, DeFiHap detects 25 anti-patterns and generates fix suggestions for 17 of them.
Metastatic, Triple-Negative, Androgen Receptor-Positive, Invasive Lobular Carcinoma of the Breast: A Case Report

Triple-Negative Breast Cancer (TNBC) is one of the most aggressive subtypes of breast cancer and tends to be of invasive ductal carcinoma histopathology. Less commonly found are Invasive Lobular Carcinomas (ILC) that are triple-negative. Various biological types of breast cancer have been identified through techniques, such as immunohistochemistry and gene profiling, which have helped to guide prognosis and treatment. To date, there have been no cases described as triplenegative (estrogen receptor-negative, progesterone receptor-negative, and human epidermal growth factor receptor-negative), Androgen Receptor (AR) positive, ILC that metastasized to the stomach, small bowel, bones, and dura mater. There are a few studies that report proximal small bowel metastasis in the setting of triple-negative, ILC; however, the AR status was not reported. We report a case of a 58-year-old Caucasian female diagnosed with de novo metastatic, triple-negative, AR-positive, ILC with multi-organ distant metastasis.
Comparison of the postoperative outcome of the three-port laparoscopic ovariectomy and conventional open ovariectomy methods in dogs

The aim of this study is to determine the effects of laparoscopic ovariectomy (LOVE) and conventional open ovariectomy (COVE) methods on early-stage surgical stress parameters [proinflammatory cytokines (TNF-α and IL-6), acute phase proteins (CRP, Hp), inducible nitric oxide synthase (INOS), mitogen activated protein kinase (MAPK14) and cortisol], pain scores and D-Dimer (DD) levels in 36 healthy bitches. Three-port laparoscopic ovariectomy was performed on the LOVE group while routine ovariectomy was performed on the COVE group. Surgical stress parameters and pain scores (University of Melbourne pain scale) were assessed during the pre(0 hour) and postoperative periods (1st, 3rd, 6th hour and 7 days). DD analyses were performed between 0-1 hours to compare coagulation rates. At the early postoperative stage, operation time, surgical stress, pain scores and DD levels were lower (P<0.05) in the LOVE group compared to the COVE group. No differences were found in terms of surgical stress and pain score between the groups on day 7 post-operation. As a result, we found that LOVE, a minimal invasive method, caused less surgical stress and post-operative pain as well as a shorter operation period compared to COVE and the patients returned to their preoperative activities in a shorter time. Therefore, it was concluded that the three-port LOVE was more advantageous compared to COVE in terms of safety and patient comfort.
Talent Acquisition and Retention as Predictors of Teachers’ Job Commitment in Secondary Schools in Bayelsa State

The study examined talent acquisition and retention as predictors of teachers’ job commitment in secondary schools in Bayelsa State. Two research questions were raised and two hypotheses tested in the study. Correlation survey design was adopted for the study. Population of the study consisted of 3,477 respondents while 490 respondents were drawn as sample for the study using random sampling technique. Instrument adopted for collection of data was questionnaire titled “Talent Acquisition and Retention Scale” (TARS) for the dependent variables and “Teachers Job Commitment Scale” (TJCS) for the independent variable. The two questionnaires titled TARS and TJCS were face and content validated by two experts in Measurement and Evaluation. Cronbach alpha statistics was used to determine the reliability of the instrument. The index of Talent Acquisition (TA) and Talent Retention (TR) were 0.91 and 0.92 respectively while TJCS was 0.90. There were 490 copies of questionnaire administered while 472 copies which were 96.3% were retrieved. Research questions were answered using simple regression analysis while the hypotheses were tested using t-test associated with simple regression at 0.05 level of significance. The relationship of talent acquisition and talent retention with teachers’ job commitment were high and positive as well as moderate and positive with values of r=0.61 and r=0.47 respectively. It was recommended that merit and competence should be considered above nepotism in the process of talent acquisition in secondary schools in Bayelsa State.
Kamikaze Aibo Interface

The Kamikaze Aibo Interface aims to provide a simple and intuitive way for users to control a Sony Aibo robot dog in a simulated disaster zone. Specific steps were taken in the design of this interface to make it easy to use. These include using a large vision screen and map located at the top of the interface. Important interface elements are grouped around the vision screen to reduce the amount of effort required by the user to use these items. Evaluation of this interface shows that in its current form users are able to learn to use basic features of the interface quite quickly. Additional features could be added to improve the user’s ability to navigate particularly difficult sections of the disaster zone.
Game On: Teaching Cybersecurity to Novices Through the Use of a Serious Game ∗

We report on the creation of an educational serious game to teach basic cybersecurity concepts. Cyber Secured uses engaging gameplay and challenges to educate students about concepts such as phishing, malware, encryption and passwords. This game was evaluated on introductory students in three sections of an e-commerce course. Our analysis demonstrated statistically significant learning gains as well as continued retention of the material. We also saw evidence of increased interest in cybersecurity, and reports of positive attitudes towards the use of this game to teach and assess cybersecurity material. The results of our work suggest that Cyber Secured is a useful tool to educate about cybersecurity, and we have made our game freely available.
Open Economy, Redistribution, and the Aggregate Impact of External Shocks

I investigate the role of household heterogeneity and redistribution in the transmission of foreign shocks to aggregate consumption for a small open economy. From theory, I identify key statistics that summarize systematic relationships between marginal propensity to consume (MPC) heterogeneity and shock exposure. Heterogeneous exposure across high-MPC and low-MPC households drives aggregate consumption responses through various redistribution channels. Using micro-data and a calibrated heterogeneous agent New Keynesian model, I gauge the importance of these channels. Most importantly, an unbalanced distribution of foreign-currency nominal wealth significantly amplifies the negative consumption impact of depreciation when more responsive agents are disproportionately less insured against wealth revaluation.
Sensory characteristics of native Muscovy duck meat in Malawi *

The current research was conducted to study the effect of production systems, cooking methods and post-mortem ageing time on the sensory attributes of duck meat. Breast muscles of drakes from three production systems (intensive, duck rice and free range) were collected after chilling at 40C for 24 h. The determination of the effect of cooking methods and ageing time used duck breast muscles of drakes from the free range system which is the common production system in Malawi and was conducted after either one-hour and 12 h post-mortem ageing period by a trained taste panel. Sensory attributes evaluated were colour, tenderness and juiciness using a 9 point – Hedonic scale rating. Data were subjected to multivariate analysis of variance (MANOVA) for completely randomized design. The overall results indicated that the panellists preferred duck meat from duck-rice integration and free range system. Analysis of cooking methods, indicated a preference for grilling and ageing duck meat for 12 h rather than cooking after 1 h post-mortem. It is concluded that, ducks can be raised under duck-rice integrated systems as an improvement to free range system, provided that a 12 h post-mortem ageing period for better sensorial attributes of colour, tenderness and juiciness is maintained.
LIQUISOLID COMPACTS: AN INNOVATIVE APPROACH FOR DISSOLUTION ENHANCEMENT

The challenge faced by the majority of the pharmaceutical products is the poor solubility of the drug candidates which leads to low bioavailability. Liquisolid compact is one of the emerging techniques that enhances the dissolution of poorly water soluble drugs. Liquisolid system mentions to the formulation made by the transforming the liquid drug, either in the form of suspension or solution in non volatile solvents into a dry, non-sticky, free-flowing and compactable powder mixtures. This is achieved by mixing the suspension or solution of the drug with appropriate carriers and coating agents. The technology has the ability to increase aqueous solubility, rate of dissolution and absorption of poorly soluble drug by keeping it in molecularly dispersed form leading to its improved bioavailability when compared to conventional tablets. Liquisolid technology is the impending approach for enhancing the solubility of poorly water-soluble drug by adopting simple manufacturing process and low production cost.
Comparative evaluation of efficacy of external vibrating device and counterstimulation on child's dental anxiety and pain perception during local anesthetic administration: a clinical trial

Background This study aimed to evaluate the efficacy of external vibrating devices and counterstimulation on a child's dental anxiety, apprehension, and pain perception during local anesthetic administration. Methods This was a prospective, randomized, parallel-arm, single-blinded interventional, clinical trial. One hundred children aged 4–11 years, requiring pulp therapy or extraction under local anesthesia (LA), were recruited and allocated equally into two groups (1:1) based on the interventions used: Group BD (n = 50) received vibration using a Buzzy® device {MMJ Labs, Atlanta, GE, USA} as a behavior guidance technique; Group CS (n = 50) received counterstimulation for the same technique. Anxiety levels [Venham's Clinical Anxiety Rating Scale (VCARS), Venham Picture Test (VPT), Pulse oximeter {Gibson, Fingertip Pulse Oximeter}, Beijing, China)] were assessed before, during, and after LA administration, while pain perception [Wong-Baker Faces Pain Rating Scale (WBFPS), Visual Analogue Scale (VAS)] was evaluated immediately after injection. Statistical analysis was performed using the Student's t-test to assess the mean difference between the two groups and the repeated measures ANOVA for testing the mean difference in the pulse rates. Statistical significance was set at P < 0.05. Results Significant differences in mean pulse rate values were observed in both groups. In contrast, the children in the BD group had higher diminution (P < 0.05), whereas the mean VCARS and VPT scores were conspicuous (P < 0.05). Based on the mean WBFPS and VAS scores, delayed pain perception after LA injection was more prominent in the BD group than in the CS group. Conclusion External vibration using a Buzzy® device is comparatively better than counterstimulation in alleviating needle-associated anxiety in children requiring extraction and pulpectomy.
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries

Based on the panel data of environmental Non-Governmental Organizations (ENGOs) and air pollution in OECD countries, this paper uses econometric model to investigate the governance effect of ENGOs on air pollution. The results show that: ENGOs have a positive impact on the improvement of environmental quality, and the results are still valid after a series of robustness tests; Further mechanism analysis found that the environmental improvement by ENGOs is mainly achieved by increasing investment in environmental protection. This study provides empirical evidence for the effect of ENGOs on air pollution, and further provides ideas for environmental governance.