Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing feature set for Chinese Word Sense Disambiguation

This article describes the implementation of I2R word sense disambiguation system (I2R −WSD) that participated in one senseval3 task: Chinese lexical sample task. Our core algorithm is a supervised Naive Bayes classifier. This classifier utilizes an optimal feature set, which is determined by maximizing the cross validated accuracy of NB classifier on training data. The optimal feature set includes partof-speech with position information in local context, and bag of words in topical context.
Wideband, High-gain, Planar Millimeter-wave Antenna Based on Long-slot Radiator

This paper presents a novel wideband, high-gain, planar antenna for millimeter-wave (mmW) applications. The antenna is constructed on two layers of PCB laminates, including a long-slotiradiator, a parabolic reflectorifeeding network, and an upper cavity. The long-slot radiator breaks the boundary conditions of t of conventional slots, yields a low Q-factor, and contributes to a broad bandwidth. The upper cavity improves the antenna gain and front-to-back ratio. The antenna achieves a wide bandwidth of more than 40%, an average gain of around 15 dBi, and stable radiation patterns with low cross-polarizations throughout the operatingrfrequency band. The antenna can be further expanded to generate multiple beams.
Importance of Neonatal FcR in Regulating the Serum Half-Life of Therapeutic Proteins Containing the Fc Domain of Human IgG1: A Comparative Study of the Affinity of Monoclonal Antibodies and Fc-Fusion Proteins to Human Neonatal FcR

The neonatal FcR (FcRn) binds to the Fc domain of IgG at acidic pH in the endosome and protects IgG from degradation, thereby contributing to the long serum half-life of IgG. To date, more than 20 mAb products and 5 Fc-fusion protein products have received marketing authorization approval in the United States, the European Union, or Japan. Many of these therapeutic proteins have the Fc domain of human IgG1; however, the serum half-lives differ in each protein. To elucidate the role of FcRn in the pharmacokinetics of Fc domain-containing therapeutic proteins, we evaluated the affinity of the clinically used human, humanized, chimeric, or mouse mAbs and Fc-fusion proteins to recombinant human FcRn by surface plasmon resonance analysis. The affinities of these therapeutic proteins to FcRn were found to be closely correlated with the serum half-lives reported from clinical studies, suggesting the important role of FcRn in regulating their serum half-lives. The relatively short serum half-life of Fc-fusion proteins was thought to arise from the low affinity to FcRn. The existence of some mAbs having high affinity to FcRn and a short serum half-life, however, suggested the involvement of other critical factor(s) in determining the serum half-life of such Abs. We further investigated the reason for the relatively low affinity of Fc-fusion proteins to FcRn and suggested the possibility that the receptor domain of Fc-fusion protein influences the structural environment of the FcRn binding region but not of the FcγRI binding region of the Fc domain.
Design of a High-Gain Low Side-lobe Waveguide Feed Array in Ku-Band

This paper presents a waveguide planar slot array antenna designed for the Ku band, emphasizing low sidelobe levels (SLL). The array configuration comprises a $2 \times 2$ element setup. To enhance gain and reduce sidelobe levels, we establish a 1-to-256 unequal amplitude power divider utilizing the Taylor distribution. High-Frequency Structure Simulator (HFSS) simulations demonstrate the 1st sidelobe level in $\mathbf{E}$-plane and H plane is $-17 \mathrm{~dB}$ and $-16.5 \mathrm{~dB}$ at 14.9GHz, respectively. The realized gain is 38.2dBi. Furthermore, the VSWR exhibits a relative bandwidth of $5.6 \%(14.5 \mathrm{GHz}-15.35 \mathrm{GHz})$ with values consistently below 1.5. The radiation efficiency also surpasses $94.6 \%$, ensuring efficient performance. Leveraging these enhancements, we successfully construct a $32 \times 32$ array that achieve high efficiency, high gain, low profile and low sidelobe levels.
The Role of the SECoS Algorithm in Forecasting Budgeting Costs for Official Trips Orders

An official travel order is a formal letter used for work-related purposes, typically within government agencies, services, and office responsibilities. It is issued when an employee is directed to undertake assignments in a different region, outside the city, or even abroad. Planning the budget for an Official Travel Order requires financial readiness throughout the year. Therefore, it is essential to anticipate the budgeting of Official Travel Order costs, enabling effective implementation and improvement through the applications of an evolution-based artificial neural network (ANN) method. In this paper, a method is test by SECoS using parameter values: learning rate 1 is 0.31, learning rate 2 is 0.23, sensitivity $\text{threshold}=0.03$, and Threshold $\text{error}=0.06$. The obtained MAPE value is 0.00181066%.
Heterogeneous Integration of Biasing Circuits for mmWave Reconfigurable Intelligent Surfaces

We present the design of a biasing circuit and interposer architecture for scalable millimeter wave (mmWave) reconfigurable intelligent surfaces (RISs). Specifically, a multilayer biasing board is designed to provide the necessary excitation of a 1-bit RIS. Ball grid array (BGA) technology is leveraged to integrate heterogeneous technologies and materials to provide more real estate on the RIS metasurface and more design flexibility. Fabrication and assembly challenges associated with this novel technique have been identified and recommendations for future fabrication/assembly are provided.
Miniaturized Ultra-Wideband Vivaldi Antenna Using Asymmetric Matching

In this paper, a miniaturized all-metal ultra-wideband Vivaldi antenna with an asymmetric matching structure is proposed. The Vivaldi antenna is designed for applications that require high structural strength and heat resistance. The curved slot and the feeding coaxial line of the Vivaldi antenna are connected using an asymmetric matching structure to achieve an extended operating bandwidth. Bessel functions are employed to optimize the gain and radiation pattern of the antenna. The antenna board thickness is segmented and optimized for impedance matching in the high-frequency range, while the addition of rectangular slots optimizes impedance matching in the low-frequency range. Simulation results demonstrate that the antenna achieves an impedance bandwidth of 22:1, with S11 parameters below −10dB within the frequency range of 3-69 GHz. Additionally, despite its asymmetric design, the antenna exhibits good symmetry in the radiation patterns, with no significant splits observed in the main lobes across the frequency range of 3-69 GHz.
The nitric oxide donor, diethylamine NONOate, enhances preservation of the donor rat heart.

BACKGROUND Ischemia/reperfusion injury to transplanted organs may be associated with loss of endothelial release of nitric oxide. The aim of this study was to determine whether supplementation of an extracellular-based cardioplegic solution in routine clinical use at our institution with nitric oxide (as diethylamine NONOate) enhanced poststorage functionality of an isolated working heart model. METHODS Excised hearts were ligated to an aortic cannula and immediately perfused retrogradely with oxygenated Krebs solution at a hydrostatic pressure of 100 cm H2O at 37 degrees C. This preparation was then converted to a working system by switching the supply of perfusate from the aorta to a left atrial cannula at a filling pressure of 15 cm H2O. After a 1-minute stabilization period, baseline measurements of heart rate, aortic flow, coronary artery flow, and cardiac output were performed. Oxygenated cardioplegic solution (0.1 micromol/L), with or without NONOate, was then infused into the coronary circulation. Hearts were then stored in the same solutions for 6 or 12 hours at 2 degrees to 3 degrees C. The hearts were then remounted on the perfusion apparatus and reperfused as before, and hemodynamic measurements were repeated. Water content of the hearts were then determined. RESULTS Addition of the nitric oxide donor significantly improved all hemodynamic parameters measured after 12 hours storage and aortic flow at 6 hours storage compared with the untreated control groups. There was no significant difference between the water contents of the NONOate-treated and control groups. CONCLUSIONS The presence of the nitric oxide donor diethylamine NONOate was associated with significantly better preservation of coronary artery flow and cardiac function in the isolated rat heart after a 12-hour period of hypothermic storage and suggests a novel use for this family of compounds in the transplantation context.
Neutrophil chemotaxis by pathogen‐associated molecular patterns – formylated peptides are crucial but not the sole neutrophil attractants produced by Staphylococcus aureus

The chemotactic migration of phagocytes to sites of infection, guided by gradients of microbial molecules, plays a key role in the first line of host defence. Bacteria are distinguished from eukaryotes by initiation of protein synthesis with formyl methionine. Synthetic formylated peptides (FPs) have been shown to be chemotactic for phagocytes, leading to the concept of FPs as pathogen‐associated molecular patterns (PAMPs). However, it remains unclear whether FPs are major chemoattractants released by bacteria and whether further chemoattractants are produced. A Staphylococcus aureus mutant whose formyltransferase gene was inactivated (Δfmt) produced no FPs and the in vitro and in vivo ability of Δfmt culture supernatants to recruit neutrophils was considerably reduced compared with those of the parental strain. However, some chemotactic activity was retained, indicating that bacteria produce also unknown, non‐FP chemoattractants. The activity of these novel PAMPs was sensitive to pertussis toxin but insensitive to the formyl peptide receptor inhibitor CHIPS. Δfmt culture supernatants caused reduced calcium ion fluxes and reduced CD11b upregulation in neutrophils compared with wild‐type supernatants. These data demonstrate an important role of FPs in innate immunity against bacterial infections and indicate that host chemotaxis receptors recognize a larger set of bacterial molecules than previously thought.
Short-term Wind Power Interval Prediction Method Based on Empirical Mode Decomposition (EMD) and Non-parametric Estimation Method

This paper proposes a combined short-term wind power interval prediction method based on empirical mode decomposition (EMD), BP neural network, and non-parametric kernel density estimation method, effectively improving the prediction accuracy. This method first uses EMD to decompose the historical wind power and reconstruct the sequence using the run-length test. BP neural network models are then established for each decomposed and reconstructed subsequence and meteorological factors. Finally, the results of the subsequence prediction models are superimposed to obtain the wind power prediction value, achieving a 5.57% improvement in combined prediction accuracy. Combining the characteristics of power prediction and its prediction error distribution, the non-parametric kernel density estimation method is used to solve the probability density function of the prediction error for each power interval. The wind power prediction confidence interval is then obtained based on the deterministic power prediction value.
Modeling Underground Water Reservoir

In this paper a simple model for underground water is constructed. The supply to the reservoir is from one side with variable water level from rain and flood, in the meantime water escapes outside from the other side. The soil forming the reservoir is porous and water movement inside is according to Darcy's flow. The bottom of the reservoir is impermeable to water, whereas, the top of the rectangular reservoir is exposed to a steady pressure depending on the atmospheric pressure. The differential equation of the flow in the model is solved by the method of Green's function. Inlet and exit velocity distribution is obtained and is integrated to give the capacity as a function of time. (B.B. El-Naggar and I. A.Kholief . Modeling Underground Water Reservoir. Journal of American Science 2011;7(7):626-630) (ISSN: 1545-1003). http://www.americanscience. org.
Analysis of the Metabolic Pathway of Bosentan and of the Cytotoxicity of Bosentan Metabolites Based on a Quantitative Modeling of Metabolism and Transport in Sandwich-Cultured Human Hepatocytes

To quantitatively understand the events in the human liver, we modeled a hepatic disposition of bosentan and its three known metabolites (Ro 48-5033, Ro 47-8634, and Ro 64-1056) in sandwich-cultured human hepatocytes based on the known metabolic pathway. In addition, the hepatotoxicity of Ro 47-8634 and Ro 64-1056 was investigated because bosentan is well known as a hepatotoxic drug. A model illustrating the hepatic disposition of bosentan and its three metabolites suggested the presence of a novel metabolic pathway(s) from the three metabolites. By performing in vitro metabolism studies on human liver microsomes, a novel metabolite (M4) was identified in Ro 47-8634 metabolism, and its structure was determined. Moreover, by incorporating the metabolic pathway of Ro 47-8634 to M4 into the model, the hepatic disposition of bosentan and its three metabolites was successfully estimated. In hepatocyte toxicity studies, the cell viability of human hepatocytes decreased after exposure to Ro 47-8634, and the observed hepatotoxicity was diminished by pretreatment with tienilic acid (CYP2C9-specific inactivator). Pretreatment with 1-aminobenzotriazole (broad cytochrome P450 inactivator) also tended to maintain the cell viability. Furthermore, Ro 64-1056 showed hepatotoxicity in a concentration-dependent manner. These results suggest that Ro 64-1056 is directly involved in bosentan-induced liver injury partly because CYP2C9 specifically mediates hydroxylation of the t-butyl group of Ro 47-8634. Our findings demonstrate the usefulness of a quantitative modeling of hepatic disposition of drugs and metabolites in sandwich-cultured hepatocytes. In addition, the newly identified metabolic pathway may be an alternative route that can avoid Ro 64-1056–induced liver injury.
Usage Intentions of AIGC: From Social Media Conversation Volume and Consumer Analysis

In November 2022, OpenAI launched the ChatGPT chatbot, and within just two months, it had garnered one hundred million registrations. The introduction of ChatGPT has generated significant attention and discussions online. Its applications are incredibly diverse, impacting the development of numerous industries. It has improved work efficiency in the business sector, enhanced customer service, expanded market analysis, assisted in daily tasks, and provided personalized recommendations. In education, it has aided students in personalized learning, answering questions, and providing explanations. With the advancement of technology, Internet usage and social media have been used widely the current generation, particularly the Z generation. Social media has become a habitual practice, changing people's social habits. Social media provides a platform for communication, sharing images and videos, as well as interacting, commenting, and sharing other people's content. Utilizing the CHOOSE public option analysis platform developed by Blue Planet, we explores articles discussing ChatGPT on social media and analyzes the sources of conversation volume using the public option analysis to understand the level of interest and favorability of social media users regarding ChatGPT.
Arabic Fake News Detection using Ensemble Technique

Similar to most spoken languages worldwide, Arabic language is facing a significant problem with the rapid spread of fake information, which requires effective methods to detect and combat it. This research introduces a novel approach to detecting fake news in Arabic using Ensemble Techniques. The process involves gathering a comprehensive collection of Arabic news articles and carefully labeling them as either fake or authentic. To ensure the quality of the data, various text preprocessing techniques such as cleaning, tokenization, and stemming are applied. The detection accuracy is then enhanced by leveraging Ensemble Techniques. Multiple base classifiers, each with its own strengths, are employed to thoroughly analyze the text data for deceptive patterns. By utilizing this ensemble approach, the diversity of classifiers is harnessed to improve the reliability of detecting fake news. In this case, a robust ensemble learning framework that combines three states of the art algorithms are utilized for the detection of fake news. Two different methods for extracting features, Term Frequency and Term Frequency-Inverse Document Frequency are used to improve the accuracy of identifying fake news. The results show significant improvements in fake news detection accuracy, which provide valuable insights and methodologies for combating misinformation in the Arabic digital sphere, which is crucial for maintaining information integrity and promoting informed decision-making.
Fuzzy Optics Enabled Antenna Model for Push-To-Talk Communication in Underwater Networks

This paper explores a unique antenna model to allow push-totalk underwater communications. This antenna version uses fuzzy logic to adaptively control the transmission and reception parameters of the antenna. The russification of the antenna parameters reduces the complexity of antenna control, permitting even low-give-up underwater gadgets to transmit and acquire alerts successfully. This version uses binary water droplet-like antenna systems, which are adaptively tuned in response to various sign energy levels. The binary antenna structure can attain enormous gains with minimal cease-consumer setup time and value. Moreover, this antenna model allows for a quick reconfiguration to suit converting water conditions and tool features, allowing the antenna to keep top-quality overall performance for underwater conversation. Our assessment of this version in actual-global situations shows that push-to-communicate communique is feasible with reasonable hyperlink reliability.
MonoVINI: Seeing in the Dark with Virtual-World Supervision

Self-supervised learning draws much attention to Monocular depth estimation (MDE) since it is free of LiDAR annotations and addresses the daytime domain impressively. However, its performance degrades in challenging environments such as night-time scenes, where the assumptions about uniform lighting are no longer valid. Most methods alleviate this problem by adversarial discriminative learning, e.g., closing the gap between the daytime and night-time domain. This paper will address MDE for the night-time domain utilizing simulation data. We overcome the equivalent camera constraints by an image warping technique, making this approach not require a new benchmark dataset. Since a significant domain shift exists between real-world and synthetic data, we use a novel adversarial learning method to relieve this problem. This work is a pioneer in using synthetic data to solve the MDE problem for night-time scenarios. The experimental results demonstrate that our approach produces a comparable effect to state-of-the-art methods, which proves this approach has potential for future research.
Complex Semantic Tabular Interpretation using SDD-Gen

Knowledge graphs have become an essential technology for both businesses and governments. They enable a wide variety of critical tasks, such as aligning diverse datasets, improving the capabilities of search engines, supporting error checking, and generating explanations using inference engines. However, populating, augmenting, and/or validating a knowledge graph can be challenging because developers need domain knowledge to understand their data and experience in ontology modeling to align concepts properly as well as experience with conflict detection and truth maintenance tools. Previous efforts have explored automatically integrating simple tabular data into knowledge graphs to lower the barrier to entry. These methods heavily rely on named entity overlap and require that tables are similar to relational tables in third normal form. While these methods have been successful under competition, these limitations make them impractical for general usage. In this paper, we introduce the semantic data dictionary generator (SDD-Gen), an algorithm that aligns complex tabular data to ontological terms for knowledge graph generation. Our methodology leverages context information from data dictionaries to make alignments, enabling us to align complex tables with few named entities and multiple subject columns.
Analysis of human–robot interaction at the DARPA Robotics Challenge Finals

In June 2015, the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Finals were held in Pomona, California. The DRC Finals served as the third phase of the program designed to test the capabilities of semi-autonomous, remote humanoid robots to perform disaster response tasks with degraded communications. All competition teams were responsible for developing their own interaction method to control their robot. Of the 23 teams in the competition, 20 consented to participate in this study of human–robot interaction (HRI). The evaluation team observed the consenting teams during task execution in their control rooms (with the operators), and all 23 teams were observed on the field during the public event (with the robot). A variety of data were collected both before the competition and on-site. Each participating team’s interaction methods were distilled into a set of characteristics pertaining to the robot, operator strategies, control methods, and sensor fusion. Each task was decomposed into subtasks that were classified according to the complexity of the mobility and/or manipulation actions being performed. Performance metrics were calculated regarding the number of task attempts, performance time, and critical incidents, which were then correlated to each team’s interaction methods. The results of this analysis suggest that a combination of HRI characteristics, including balancing the capabilities of the operator with those of the robot and multiple sensor fusion instances with variable reference frames, positively impacted task performance. A set of guidelines for designing HRI with remote, semi-autonomous humanoid robots is proposed based on these results.