Miracle-dz/UniFAR-FTUs huggingface dataset:
Mixed absorption laws of the sum of two matrices on {1,2}-inverse and {1,3}-inverse

The concepts of the mixed first absorption laws and the mixed second absorption laws on generalized inverse were given.Using the matrix rank method,the generalized Schur complement and singular value decomposition(SVD),necessary and sufficient conditions about the mixed first absorption laws and the mixed second absorption laws on {1,2}-inverse and {1,3}-inverse were established.
Detection of Tumour-Targeted IRDye800CW Tracer with Commercially Available Laparoscopic Surgical Systems

(1) Introduction: Near-infrared fluorescence (NIRF) combined with tumour-targeted tracers, such as bevacizumab-800CW, could aid surgical decision-making. This study explored the use of IRDye800CW, conjugated to bevacizumab, with four commercially available NIRF laparoscopes optimised for indocyanine green (ICG). (2) Methods: A (lymph node) phantom was made from a calibration device for NIRF and tissue-mimicking material. Serial dilutions of bevacizumab-800CW were made and ICG functioned as a reference. System settings, working distance, and thickness of tissue-mimicking material were varied to assess visibility of the fluorescence signal and tissue penetration. Tests were performed with four laparoscopes: VISERA ELITE II, Olympus; IMAGE1 S™ 4U Rubina, KARL STORZ; ENDOCAM Logic 4K platform, Richard Wolf; da Vinci Xi, Intuitive Surgical. (3) Results: The lowest visible bevacizumab-800CW concentration ranged between 13–850 nM (8–512 times diluted stock solution) for all laparoscopes, but the tracer was not visible through 0.8 cm of tissue in all systems. In contrast, ICG was still visible at a concentration of 0.4 nM (16,384 times diluted) and through 1.6–2.4 cm of tissue. Visibility and tissue penetration generally improved with a reduced working distance and manually adjusted system settings. (4) Conclusion: Depending on the application, bevacizumab-800CW might be sufficiently visible with current laparoscopes, but optimisation would widen applicability of tumour-targeted IRDye800CW tracers.
EXPERIMENTAL INVESTIGATION OF A MICRO-COMBINED COOLING,HEATING AND POWER SYSTEM WITH ADSORPTION CHILLER

A micro-CCHP system with smaller gas engine and adsorption chiller has been originally designed and set up,and an experimental investigation of the performance of the system is described, including energetic and economic feasibility analysis.The micro-CCHP system can supply electricity load of 12 kW and cooling load of 9 kW or heat load of 28 kW simultaneously.The overall thermal and electrical efficiency is over 70%,which is higher than that of the cooling and power cogeneration. With respect to energy prices at present(natural gas price is 1.8 RMB$/Nm~3 and electric price is 0.61 RMB$/kWh),the payback period of designed micro-CCHP system is below 4.0 years.
Languages Varying in Time and the P x NP Problem

The same can no longer be said of non-deterministic algorithms. A non-deterministic algorithm can be considered as a process that, when faced with a choice between two (or more) alternatives, can create copies of itself for each alternative and further continue processing to each of them, independently of each other, in parallel. If exist a set of possibilities which lead to a positive response then this set is always chosen and the algorithm ends successfully ([1], [2], [3]).
Designing an Empathy Training for Depression Prevention Using Virtual Reality and a Preliminary Study

As virtual reality (VR) is labeled by many as “an ultimate empathy machine,” immersive VR applications have the potential to assist in empathy training for mental healthcare such as depression [21]. In responding to the increasing numbers of diagnosed depression throughout COVID-19, a first-person VR adventure game called “Schwer” was designed and prototyped by the authors' research team to provide a social support environment for depression treatment. To continue the study and assess the training effectiveness for an appropriate level of empathy, this current article includes a brief survey on data analytics models and features to accumulate evidence for the next phase of the study, an interactive game-level design for the “Reconstruction” stage, and a preliminary study with data collection. The preliminary study was conducted with a post-game interview to evaluate the design of the levels and their effectiveness in empathy training. Results showed that the game was rated as immersive by all participants. Feedback on the avatar design indicated that two out of three of the non-player characters (NPCs) have made the intended effect. Participants showed mostly positive opinion towards their experienced empathy and provided feedback on innovative teleport mechanism and game interaction. The findings from the literature review and the results of the preliminary study will be used to further improve the existing system and add the data analytics model training. The long-term research goal is to contribute to the healthcare field by developing a dynamic AI-based biofeedback immersive VR system in assisting depression prevention.
HETEROTIC GROUPING WITH COMBINING ABILITY AND GENE ACTION IN SESAMUM INDICUM L. USING LINE × TESTER ANALYSIS

Line × tester analysis is an efficient method to evaluate many entries for GCA (general combining ability) and SCA (specific combining ability) effects. Fifteen lines and three testers of sesame (Sesamum indicum L.) gained evaluation for shattering, yield, and oil quality traits. Crossing selected tolerant and sensitive accessions in line × tester fashion ensued, with the resultant F1, parent material, and commercially cultivated varieties sown in the field to ascertain the genetic mechanisms to assess heterosis manifestation and generation turnover. Combining ability analysis exhibited variable direction and magnitude of GCA effects among line and testers and SCA effects among crosses. The lines SG-41, G-43, and SG-50 and testers SG-60 and SG-1 were the best general combiners. Crosses SG-44 × SG-60, SG-50 × SG-60, SG-103 × SG-14, SG-103 × SG-60, SG-110 × SG-14, SG-50 × SG-1, and SG-113 × SG-60 had a positive significant SCA effect for maximum yieldrelated traits. SG-39 × SG-60, SG-44 × SG-60, and SG-50 × SG-60 had positive significant SCA effects for maximum oil-related qualities. Crosses SG-41 × SG-1, SG-41 × SG-60, SG-43 × SG-60, SG-50 × SG-14, and SG-50 × SG-60 had positive and significant heterosis over the mid-parent, a better parent, and commercial hybrids for most of the traits. Conditioning on secondary branches, flower initiation, capsule length, and 1000-seed weight were by non-additive genetic effect, with all the other parameters under the control of additive gene action. The variance ratio of GCA to SCA showed less than unity; in contrast, the additive genetic variance was more than the dominant variance for all traits except for secondary branches, flower initiation, capsule length, and 1000-seed weight. The association of traits based on correlation and path analyses suggested that plant height, oil content, and 1000-seed weight can serve as criteria for selecting sesame for a future breeding program.
Two Axis Sensorless Solar Tracking System

This paper presents two axis solar tracking system where the apparent position of the sun is monitored using solar mathematics. The proposed tracking system is sensor less and posses higher efficiency. Minimum components were used to reduce the complicacy of the system and the cost as well. A low power microcontroller has been used to control the movement of the tracking system. A wiper motor has been used for azimuth tracking and a linear actuator has been used for declination tracking. Tested results shows that a significant increase of the efficiency of the tracker.
Ectopic Expression of FvVND4c Promotes Secondary Cell Wall Thickening and Flavonoid Accumulation in Fragaria vesca

Secondary cell wall (SCW) thickening has a significant effect on the growth and development of plants, as well as in the resistance to various biotic and abiotic stresses. Lignin accounts for the strength of SCW. It is synthesized through the phenylpropanoid pathway that also leads to flavonoid synthesis. The coupling strategies for lignin and flavonoid syntheses are diverse in plants. How their syntheses are balanced by transcriptional regulation in fleshy fruits is still unclear. The diploid strawberry (Fragaria vesca) is a model for fleshy fruits research due to its small genome and wide scope of genetic transformation. SCW thickening is regulated by a multilevel transcriptional regulatory network wherein vascular-related NAC domains (VNDs) act as key regulators. In this study, we systematically characterized VNDs in Fragaria vesca and explored their functions. The overexpression of FvVND4c in diploid strawberry fruits resulted in SCW thickening and fruit color changes accompanied with the accumulation of lignin and flavonoids. Genes related to these phenotypes were also induced upon FvVND4c overexpression. Among the induced genes, we found FvMYB46 to be a direct downstream regulator of FvVND4c. The overexpression of FvMYB46 resulted in similar phenotypes as FvVND4c, except for the color change. Transcriptomic analyses suggest that both FvVND4c and FvMYB46 act on phenylpropanoid and flavonoid biosynthesis pathways, and induce lignin synthesis for SCW. These results suggest that FvVND4c and FvMYB46 cooperatively regulate SCW thickening and flavonoid accumulation in Fragaria vesca.
Algorithms for Robotic Intelligent Systems for Predicting Fire Hazardous Situations at an Early Stage

There is a problem of promptly obtaining sufficient information about the chemical situation in the workplace and the territories adjacent to it, necessary and sufficient for taking appropriate measures. A possible solution to this problem, capable of implementing effective and continuous control over the concentration of harmful substances in the air over the entire territory of industrial facilities and adjacent territories, is the creation of a system for monitoring extreme situations using unmanned aerial vehicles. This solution involves the installation of a portable multi-channel gas analyzer on one or more autonomous unmanned aerial vehicles (UAVs) that move in the monitoring zone, controlling the level of pollution at given points and transmitting information to the decision-making center. Purpose of the study: development of algorithms for searching for the source of atmospheric pollution by the concentration of toxic gas measured by an onboard gas analyzer installed on a mobile instrument platform. An algorithm has been developed to control the autonomous movement of a mobile instrument platform to a source of toxic gas, taking into account the change in concentration and the choice of the type of a given trajectory of movement, which makes it possible to track the change in the dynamics of the concentration of toxic gases in the vicinity of the object of observation.
Ectatic Coronary Arteries: Diversity at Its Finest

Coronary artery ectasia (CAE) is an entity causing inappropriate dilatation of the coronary tree, that is angiographically defined, albeit arbitrarily, by the diameter of the ectatic segment being more than 1.5 times larger in comparison with an adjacent healthy reference segment. Although the causative mechanisms are poorly understood, atherosclerosis is greatly implicated in the causation of CAE. Clinical, angiographic, and therapeutic features have been puzzling clinicians. We illustrate three different angiographic subsets, co-existing with myocardial bridge/coronary slow flow and diversely presenting as asymptomatic, pauci, and frankly symptomatic with stable and acute coronary syndrome. These cases illuminate the diversity of CAE's clinical and angiographic presentations and pathologic progression, shedding light on this medical condition and its implications.
High Gain, Compact Design Integrated With FSS As Superstrate In Patch Antenna For Sub6 Ghz 5G Application

In the field of radio engineering, an antenna is essential. A transmitter or receiver is used to connect the network between radio waves that travel across space and electric currents that travel via metal conductors. In 1953, the first patch antenna was created. However, because of their positive characteristics, such as low profile, affordable production, lightweight, and simple installation, they also became the researcher's focus area. This study indicates a compact rectangle-shaped microstrip patch antenna. Very first a rectangular shape patch antenna together with dimensions of 30x35 mm2 at 6 GHz is created utilizing an Fr4 substrate with 4.4 permittivity and a height of 1.6 mm. The simulated result showed an acceptable reflection coefficient, VSWR, and high gain with the integration of the FSS layer as a superstrate. FR4 material is used to create a unit cell for an FSS periodic structure with a 6x7 array. The simulated outcome displays a broad bandwidth between 3.2 GHz to 6.5 GHz with an increase in gain from 4 dB to 7.5 db.
Elucidating the Effect of Temperature Stress on the Protein Content, Total Antioxidant Capacity, and Antioxidant Enzyme Activities in Tetranychus urticae (Acari: Tetranychidae)

Simple Summary The two-spotted spider mite Tetranychus urticae Koch is an extremely polyphagous agricultural pest which shows a great tolerance to high temperatures. High temperatures can influence the protein content and are often associated with the generation of reactive oxygen species (ROS), which cause oxidative damage. To prevent the damage by ROS, organisms have developed antioxidant defense mechanisms, such as antioxidant enzymes, which can eliminate ROS. Moreover, total antioxidant capacity is a resultant measure of the ability of all antioxidants present in an organism to counteract the oxidation of an indicator by an oxidant, or to reduce an indicator substance. In the present study, the effects of high temperatures on protein content, antioxidant enzyme activities, and T-AOC in T. urticae were investigated. The results showed that protein content, antioxidant enzyme activities, and T-AOC were significantly induced by high temperatures (p < 0.05), which indicates that antioxidant enzymes increase the resistance of T. urticae in a range of 36–42 °C. In summary, this study enriches the understanding of the physiological mechanisms of resistance of T. urticae to environmental high temperatures. Abstract Tetranychus urticae Koch is a worldwide agricultural pest mite that feeds on more than 1100 kinds of crops. The mite has developed a high level of tolerance to high temperatures, but the physiological mechanism underlying the outstanding adaptability of this pest to high temperatures remains unclear. To clarify the physiological mechanisms of T. urticae in response to short-term heat stress, four temperatures (36, 39, 42, and 45 °C) and three short-term heat durations (2, 4, and 6 h) were conducted to test the effects on protein content, the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), and the total antioxidant capacity (T-AOC). The results showed that protein content, antioxidant enzyme activity, and T-AOC in T. urticae were significantly induced by heat stress. These results suggest that heat stress induces oxidative stress and that antioxidant enzymes play an important role in reducing oxidative damage in T. urticae. The data of this study will provide a basis for further research on the molecular mechanisms of thermostability and ecological adaptability of T. urticae.
An Algorithm for Minimal Circumscribed Rectangle of a Simple Polygon

It will be distort for heating in the process of cutting board,so the parts of cutting off from the board couldn't be used any more.We take rectangle cutting from the material which contained the needed parts,and make it contain the minimal hearting distort by doing that.This paper solves the problem how to certain a minimal circumscribed rectangle of arbitrary polygon.Meanwhile an algorithm for it is presented,and its time complexities are given, that is,O(k2)(k is the number of the vertices of the polygon).
Mitigation Actions Scenarios Applied to the Dairy Farm Management Systems

The environmental impacts of the dairy industry, particularly global warming, are heavily influenced by milk production. Thus, there is an urgent need for farm-level actions and opportunities for improvement, implying mitigation strategies. The aim of this paper is to investigate five possible mitigation actions at the dairy farm and which one the farmers were willing to adopt: management and distribution of livestock manure and fertilizers, anaerobic manure treatment, optimization of the herd composition, feed quality, and heat recovery. A life cycle assessment was conducted on 63 farms using the product environmental footprint approach. The latter was divided into four quartiles, from which four representative farms were selected. For each farm, three scenarios have been analyzed considering the reference impact (reference scenario), the application of the mitigation actions (best-case scenario), and what farmers would implement (realistic scenario). Overall, the most effective mitigation actions in the best-case scenario were anaerobic manure treatment and the management and distribution of livestock manure and fertilizers, showing a potential reduction in total environmental impacts of 7–9% and 6–7%, respectively. Farmers’ responses indicated a willingness to implement the latter mitigation strategy better. The optimization of the herd composition, feed quality, and heat recovery reported a range impact reduction between 0.01–5%.
A simulation study investigating a novel method for emotion transfer between virtual humans

Affective - that is, emotionally aware - interactions with virtual humans contribute to improved user experience in both immersive and non-immersive virtual worlds. Some important open problems in this area are how to generate plausible moment-to-moment emotions in virtual humans, how to enable and model the transfer of emotions between multiple virtual humans, and how these emotions change and are changed by the environment. Motivated by these open questions, this paper presents a simulation study for the computational models of emotion and its shift and transference between characters.
Using Computer Vision to Analyze the Sequence of Vehicles Passing Through Regulated Intersections

Many papers on traffic management have dealt with optimizing traffic light signals with the assumption that the traffic flow (TF) speed is fixed or follows a given distribution. In our study, we focused on determining vehicle speed in real time and assessing its impact on the delay of vehicles. A convolutional neural network (YOLOv3) is used to detect vehicles and determine their speed through the real-time processing of video streams from traffic surveillance cameras. The developed system can identify and classify 11 traffic flow types and track the trajectory and speed of vehicles passing through a regulated intersection. When analyzing the obtained data, we identified two important factors contributing to the formation of vehicle queues at intersections during a red light. We revealed the nature and statistically significant measure of reducing free vehicle movement speed depending on the queue size, and determined the maximum vehicle queue size which does not significantly affect the dynamics of passing through an intersection. The obtained data allow us to optimize adaptive regulation and synchronization of traffic lights based on the recommended traffic flow speed.
Antimycobacterial Activity of Hedeoma drummondii against Mycobacterium tuberculosis and Non-Tuberculous Mycobacteria

Tuberculosis (TB) remains a major health problem worldwide, and the emergence of multi-resistant strains to first-line drugs has become the biggest obstacle to its treatment. On the other hand, the incidence of non-tuberculous mycobacteria (NTM) in humans has increased remarkably in recent years. The search for new and better treatments against mycobacterial infections is a constant at the global level. Hence, in this study, we propose to investigate the antimycobacterial effect of the extracts and major compounds of Hedeoma drummondii against clinical isolates of Mycobacterium tuberculosis and non-tuberculous mycobacteria: M. abscessus, M. fortuitum, M. intracellulare, and M. gordonae. To determine the antimycobacterial activity, a microdilution assay was used to establish the minimum inhibitory concentration (MIC) of the different strains of Mycobacterium. The methanolic extract presented the best activity against M. tuberculosis, inhibiting ten of the twelve strains analyzed at a concentration < 2500 µg/mL; meanwhile, the hexanic extract presented the best activity against non-tuberculous mycobacteria (NTM) by inhibiting eight of the ten strains studied at ≤625 µg/mL. Moreover, there is a strong positive correlation between the antimycobacterial activity of pulegone and the hexanic extract against non-tuberculous strains, so this compound could serve as a predictability marker against these types of microorganisms.
RECURSIVE TERNARY-BASED ALGORITHM FOR COMPUTING PRIME IMPLICANTS OF MULTI-OUTPUT BOOLEAN FUNCTIONS

The problem of computing the set of prime implicants to represent a Boolean function is a classical problem that is still considered a running problem for research because all known approaches have limitations. The article reviews existing methods for computing prime implicants and highlights their limitations, particularly for multi-output functions and limited scalability due to the growth in memory required to complete the computation. Then it proposes a recursive ternary-based minimization algorithm to compute the prime implicants of multi-output Boolean functions. The algorithm is based on the concept of Programmable Logic Array (PLA) tables, which provide a structured and efficient representation of Boolean functions. The algorithm takes advantage of the ternary logic system to efficiently compute the prime implicants while maintaining scalability for large and complex functions, which has significant implications for digital circuit design and optimization.
Improved data driven model free adaptive constrained control for a solid oxide fuel cell

Solid oxide fuel cells (SOFCs) are considered the most important in the field of fuel cells. However, SOFCs give a challenging control problem due to their slow dynamics, complex non-linearity, and operating constraints. In this study, an improved model free adaptive constrained control scheme is proposed to solve the SOFC control problem with I/O measurement data. Since the control terms appear within the unknown non-linear dynamic, an improved compact form dynamic linearisation data driven modelling method is used to simplify the SOFC system. In the design procedure of the controller, a novel dynamic anti-windup compensator is used to deal with the move magnitude and rate saturations of SOFC control input. Moreover, the authors also theoretically prove that all the signals in the closed-loop system are uniformly ultimately bounded based on Lyapunov stability analysis method. Finally, simulation results are given to demonstrate the effectiveness and potential of the proposed constrained control scheme.