Miracle-dz/UniFAR-FTUs huggingface dataset:
Geometric determination of the Poles of Highest and second Highest order of Hodge And motivic Zeta functions

Abstract To any f ∈ ℂ[x 1, … ,xn ] \ ℂ with f(0) = 0 one can associate the motivic zeta function. Another interesting singularity invariant of f -1{0} is the zeta function on the level of Hodge polynomials, which is actually just a specialization of the motivic one. In this paper we generalize for the Hodge zeta function the result of Veys which provided for n = 2 a complete geometric determination of the poles. More precisely we give in arbitrary dimension a complete geometric determination of the poles of order n − 1 and n. We also show how to obtain the same results for the motivic zeta function.
Personality Prediction from Twitter Dataset using Machine Learning

The term "personality" refers to the combination of characteristics and attributes that contribute to an individual’s distinct personality, such as thinking, emotion, and behavior. Texts on social networking sites can automatically detect an individual’s personality qualities. The Myers-Briggs Type Indicator (MBTI) dataset is being used in our research paper, consisting of 16 categories of postings with an amount of 8675 posts. We classified four personality traits from the input text, namely Introversion-Extroversion (I-E), Intuitions-Sensing (N-S), Feeling-Thinking (F-T), and Judging-Perceiving (J-P). We have initially adopted several preprocessing techniques to fit these text data into our proposed machine learning model. Text preprocessing methods include tokenization, word stemming, stop words deletion. After preprocessing, features like tf-idf and countvector were extracted. The model was then trained with six state-of-the-arts classifiers. After evaluating the model, it was found that the SVM outperformed all other classifiers and proved better than the other existing works also.
A Proposed Microstrip Patch Antenna Design For 5G Applications

Online interaction in education is needed all around the world, but it is especially important in developing nations like Bangladesh, where there would need to be high throughput and large speed to ensure that online classes may be accessed without interruption. Therefore, the authors of this study have developed a microstrip patch antenna with a resonance frequency of 28.5 gigahertz for use in 5G millimeter wave bands, enabling high-quality online learning and other 5G applications. The authors have employed a Rogers RT 5880 substrate by a loss tangent of 0.0010 and a constant of electrical insulator that is dielectric is 2.2 in their suggested design. The substrate measures 0.6 mm in height. This paper analyzed the design and found that it is extremely efficient and dependable for 5G applications, leading to results such as a reflection coefficient of -32.86 decibel, an expanded bandwidth of 1.64 gigahertz, a high gain of 10 decibel, and an exceptional radio patterns accuracy is 100%.
Mixed-Criticality Scheduling of Energy-Harvesting Systems

Energy harvesting is a promising approach to powering real-time embedded devices which are deployed wherever it is not possible or practical to recharge. Since the stochastic nature of harvested energy makes it challenging to simultaneously guarantee both timing and energy constraints of energy-harvesting real-time systems, the worst-case performance analysis becomes more crucial when analyzing the system schedulability. In this paper, we study the performance analysis problem of energy-harvesting mixed-criticality (EHMC) systems scheduled by an energy-aware adaptation of EDF. In particular, we propose a new method that can be used to derive time demand bounds for a mixed-criticality task set, which upper-bound the total amount of time required to satisfy both the processor and energy demand of the task set in any time interval of a given size for each criticality mode. Moreover, we calculate the minimum size of the capacitor for our schedulability test to be valid. Experiment results show that our approach is significantly more powerful than previous approaches to energy harvesting mixed-criticality systems.
Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification

The resting-state functional magnetic resonance imaging (rs-fMRI) faithfully reflects the brain activities and thus provides a promising tool for autism spectrum disorder (ASD) classification. Up to now, graph convolutional networks (GCNs) have been successfully applied in rs-fMRI based ASD classification. However, most of these methods were developed based on functional connectivities (FCs) that only reflect low-level correlation between brain regions, without integrating both high-level discriminative knowledge and phenotypic information into classification. Besides, they suffered from the overfitting problem caused by insufficient training samples. To this end, we propose a novel contrastive multi-view composite GCN (CMV-CGCN) for ASD classification using both FCs and HOFCs. Specifically, a pair of graphs are constructed based on the FC and HOFC features of the subjects, respectively, and they share the phenotypic information in the graph edges. A novel contrastive multi-view learning method is proposed based on the consistent representation of both views. A contribution learning mechanism is further incorporated, encouraging the FC and HOFC features of different subjects to have various contribution in the contrastive multi-view learning. The proposed CMV-CGCN is evaluated on 613 subjects (including 286 ASD patients and 327 NCs) from the Autism Brain Imaging Data Exchange (ABIDE). We demonstrate the performance of the method for ASD classification, which yields an accuracy of 75.20% and an area under the curve (AUC) of 0.7338. Experimental results show that our proposed method outperforms state-of-the-art methods on the ABIDE database.
An online integrated programming platform to acquire students' behavior data for immediate feedback teaching

Programming‐related courses prefer to put importance on practice rather than theoretical knowledge. However, the students' programming behavior data is difficult to be recorded and fed back to teachers anytime, allowing teachers to adjust their teaching in real‐time. Aiming at this problem, this study develops an online integrated programming platform that provides a unified programming environment for teachers and students and logs students' procedural programming behavior data automatically to assist teachers in providing real‐time feedback teaching. To verify the effectiveness of the data‐driven immediate feedback teaching method, an exploratory case was conducted in the 2020/2021 academic year autumn semester. As the control group, cloud201 adopted the traditional hybrid online/offline mode, while cloud202, as the experimental group, adopted the hybrid online/offline mode and immediate feedback teaching mode. The effect is demonstrated through the questionnaire, the programming behavior data analysis, and the performance analysis. The results of the questionnaire show that there are significant differences in the students' satisfaction with interaction, supervision, feedback, and evaluation, of which feedback is the biggest part. In addition, the two analysis results indicate that students' individual learning development and the learning status of the class are objectively characterized, the overall grade distribution of cloud202 is more concentrated in medium grades and the difference on average scores between cloud201 and cloud202 is gradually increased. Since the students' immediate and comprehensive programming behavior data is perceived by teachers, the teaching adjustment is so flexible that the improvement of teaching efficiency and teaching effect is promoted accordingly.
Design and Modelling of A Spring-Like Continuum Joint with Variable Pitch for Endoluminal Surgery

In endoluminal surgery, the miniature instruments shall be of high accuracy and flexibility for minimal invasive diagnosis and surgical intervention. To this end, continuum robots with flexible joints have been proposed as the mechanism of endoscopic instruments. The compliance and deformability of the continuum joints enable access into the curved lumen. However, the manufacturing tolerances are normally not considered in the design procedure, and led to inaccuracy in the robotic control. To improve the control accuracy and flexibility of endoluminal surgical robots, we propose a novel design of a metal printed continuum joint in this paper, which incorporates a variable pitch design into the spring-like structure. The design can reduce the position errors accumulated on the distal tip of the joint, especially at large bending angles. The specification of variable pitch is investigated and determined with a friction model. In addition, to eliminate the distortion of the joint induced during the metal printing process, an extensive experiment was conducted to access the effect of the variables in the design (pitch, thickness, width and number of coils), with the aim of determining optimal parameters for reducing discrepancy caused by manufacturing variations. The final results indicated that the bending error of a single joint can be reduced from 18.10% to 4.63%, and a multi-segment prototype was developed to verify its effectiveness for potential surgical applications.
Laser induced fluorescence spectroscopy from native cancerous and normal tissue

The visible fluorescence spectra have been measured from cancerous and normal rat kidney and prostate tissues, and from cancerous rat and mouse bladder tissues. The spectral profiles from the cancerous and normal tissues are substantially different; showing characteristic principal and secondary maxima. These peaks are assigned to fluorphors such as flavins and porphyrins in different environments in the two types of cell media.
The Impact of Diurnal Cycle on a Low-Froude Number Flow Observed during the PYREX Experiment

Abstract The intensive observing period (IOP) 4 of the Pyrenees Experiment (PYREX) has been simulated with a hydrostatic three-dimensional model. The PYREX IOP 4 was devoted to the observation of the orographically generated flow above and around the Pyrenees Mountains located at the French–Spanish border. Two simulations, with or without surface thermal forcing, have been performed. Their results are described and compared with the PYREX observations. The influence of thermal forcing is assessed on the main characteristics of the flow, including the upwind flow reversal, the vertically propagating mountain wave, the regional winds created by the flow deviation around the mountain, and the lee vortices. Prominent alterations of the flow are found downwind of the mountain where the diurnal cooling induces the disappearance of the lee vortices and the heating significantly reduces the intensity of the low-level deviated flow.
Minor Change, Major Gains II: Are Maximal Coordinates the Fastest Choice for Trajectory Optimization?

It has been shown that changing the coordinates describing a multi-body system to use absolute rather than relative angles produces a significant improvement in the tractability of trajectory optimization problems. This simplifies the equations of motion when modelling long kinematic chains. In this paper, we extend this idea by investigating whether a maximal coordinate system, which also describes the translational position of bodies using absolute coordinates, might lead to further performance improvements. We compare it to the relative translation, absolute orientation (RTAO) coordinate scheme using a batch of trajectory optimization trials selected with contact-implicit legged locomotion applications in mind. We find that maximal coordinates tend to shorten solving times for spatial problems, while the RTAO formulation still performs best in the case of planar motion.
Effect of Al2O3 Nanofillers on Polarization and Depolarization Current (PDC) of New LLDPE/HDPE Compounding for HVDC Application

Polymeric nanocomposites are being used more frequently to replace traditional insulation because they offer superior mechanical and electrical qualities. An efficient and successful diagnostic method based on time domain measurement is Polarization and Depolarization Current (PDC) measurement, which tracks the behaviour of the dielectric. Finding novel materials with improved dielectric properties is one of the key goals of research in the field of polymer nanocomposite dielectrics. This study uses the Polarization and Depolarization Current (PDC) measuring technique to examine the conductivity variation of LLDPE nanocomposite for formulations of HDPE blends nanocomposites made from polyethylene filled with nanoparticles of Al2O3. The goal of the experiment was to determine each sample's individual conductivity fluctuations and PDC pattern. The optimal composition for HV insulation in terms of lowest polarization and depolarization current values and lowest conductivity was discovered to be LLDPE/HDPE- Al2O3at 5%wt of nanofiller. The findings indicate that adding a certain amount of nanofiller to LLDPE/HDPE-based materials improved the materials' dielectric strength.
Design of a modular continuum robot with alterable compliance using tubular-actuation

Compliance is good. However, it is challenging for one compliant continuum robot to finish both high precision manipulation and environmental-adapted motions. In this paper, a modular continuum robot with the alterable compliance characteristic is proposed. Besides, an actuation module is also proposed using a tubular-screw mechanism for non-slippage transmission. Kinematic analyses and dynamic co-simulation are performed to study the continuum robot. Furthermore, two potential application scenarios of pick-and-place manipulation and confined space navigating are carried out to demonstrate the advantages of the alterable compliance design. This study presents a capable continuum robotic solution for non-structural inspection tasks, with potential for in-situ applications in restricted and hazardous environments.
Highly sensitive recognition element based on birefringent porous silicon layers

Anisotropically nanostructured silicon layers exhibit a strong in-plane birefringence. Their optical anisotropy parameters are found to be extremely sensitive to the presence of dielectric substances inside of the pores. Polarization-resolved transmittance measurements provide an extremely sensitive tool to analyze the adsorption of various atoms and molecules in negligible quantities. A variation of the transmitted linearly polarized light intensity up to two orders of magnitude combined with a fast optical response in the range of seconds make these layers a good candidate for sensor applications.
Inertia–Gravity Waves Spontaneously Generated by Jets and Fronts. Part I: Different Baroclinic Life Cycles

Abstract The spontaneous generation of inertia–gravity waves in idealized life cycles of baroclinic instability is investigated using the Weather Research and Forecasting Model. Two substantially different life cycles of baroclinic instability are obtained by varying the initial zonal jet. The wave generation depends strongly on the details of the baroclinic wave’s development. In the life cycle dominated by cyclonic behavior, the most conspicuous gravity waves are excited by the upper-level jet and are broadly consistent with previous simulations of O’Sullivan and Dunkerton. In the life cycle that is dominated by anticyclonic behavior, the most conspicuous gravity waves even in the stratosphere are excited by the surface fronts, although the fronts are no stronger than in the cyclonic life cycle. The anticyclonic life cycle also reveals waves in the lower stratosphere above the upper-level trough of the baroclinic wave; these waves have not been previously identified in idealized simulations. The sensiti.
Application of structured nursing plan for patients with moisture-associated skin damage caused by ileostomy stoma chassis leakage

： This paper summarized the structured nursing plan for 54 patients with moisture - as⁃ sociated skin damage caused by ileostomy stoma chassis leakage. Based on the cause analysis of stoma chassis leakage ， comprehensive nursing measures were carried out including preventive measures for skin damage ， selecting ostomy products according to the evaluation of skin condi⁃ tion ， evaluation of self - care ability ， structured skin care nursing of moisture - associated skin dam⁃ age ， health education by ‘ 317 Nursing App ’ and education pathway ， regular follow - up. The comprehensive nursing interventions were carried out to improve the wound healing and preven⁃ tion the moisture - associated skin damage.
Trends and issues relating to social media utilisation in academic libraries: Experiences from the University of Limpopo subject librarians

Background: As social media tools spread across every aspect of human life, academic librarians were apt to be their early adopters to boost the service provision in academic libraries.Objective: Guided by Technology Acceptance Model, this article examined a variety of social media tools used by academic librarians; usage and usefulness of social media; organisational support provided to academic librarians to use social media; and the factors that impede usage of social media in academic libraries.Methodology: This article employed a qualitative research methodology through semi- structured interviews with 10 purposively selected academic librarians attached to the University of Limpopo library.Results: The results showed that respondents were mostly familiar with WhatsApp, Facebook, Twitter and Instagram, which they used in their personal capacity. However, in their work environment, they utilised the library blog and Facebook to market and promote library services and to liaise with their users in schools or faculties. Restrictions of access to social media platforms during working hours, lack of skills, own social media policy and management support in the form of training were found to be factors that impede social media usage by academic librarians.Conclusion: Social media have a great deal of potential to contribute immensely towards the delivery of information services in academic libraries, though they are neglected.Contribution: Incorporation of social media in library work environment requires social media policies and subject librarians to be well equipped with different kinds of social media platforms for the advantage of academic libraries and their users.
Efficient 2D LIDAR-Based Map Updating For Long-Term Operations in Dynamic Environments

Long-time operations of autonomous vehicles and mobile robots in logistics and service applications are still a challenge. To avoid a continuous re-mapping, the map can be updated to obtain a consistent representation of the current environment. In this paper, we propose a novel LIDAR-based occupancy grid map updating algorithm for dynamic environments taking into account possible localisation and measurement errors. The proposed approach allows robust long-term operations as it can detect changes in the working area even in presence of moving elements. Results highlighting map quality and localisation performance, both in simulation and experiments, are reported.
PSO-Based PI Controller for Speed Control Of DC Motor

DC motor is complex and mathematically demanding to control because of its significant nonlinearity. This paper examined a tuning method for a proportional-integral (PI) controller to control the speed of a DC motor by using the particle swarm optimization (PSO) technique. Armature voltage control by DC Chopper would control the speed of the DC motor, while a closed-loop PI controller is used to control the speed of the motor as desired. PI controller gain tuning was developed using PSO and the trial-error method. The primary goal of this work is to minimize system response and improve the speed performance of a DC motor by ensuring that the PI gain value obtained is accurate. The result shows the PI controller tuned by the PSO algorithm produces a better system performance than the trial-error method in terms of system time response in the variation of the speed and load responses. In conclusion, the PSO algorithm produces a better transient response with faster rise time, minimum percentage overshoot, and faster settling time.
Microelectronic cooling using the Nottingham effect and internal field emission in a diamond (wide-band gap material) thin-film device

We propose a method for heat dissipation in microelectronic devices which uses internal field emission through the interface of a composite thin-film device {i.e., metal [semiconductor (S)]/ chemical vapor deposition doped diamond [wide-band gap (WBG) material]} in conjunction with a heat sink. These composite thin-film devices are of micron to submicron dimensions and composed of materials which can be integrated with existing semiconductor technology. As distinct from conventional field emission into vacuum and thermionic devices, the relatively high metallic (S) work function (>2 eV) is here circumvented by use of internal field emission through a Schottky barrier at a metal/diamond (WBG) interface. It is the large band gap in these materials which introduces a filtering effect on the injected electrons which allows one to restrict the tunneling of electrons through the Schottky barrier from states below the Fermi energy, eF. For applied fields below a certain value, the average energy of the field-emi.
Development of a Conveyor-Type Object Release Mechanism for a Parallel Gripper with a Mushroom-Shaped Gecko-Inspired Surface

A surface microstructure that mimics the surface of a gecko's foot can exert a large gripping force with a small contact force. If such a structure is applied to the fingertips of a two-fingered parallel gripper, stable grasping can be achieved independent of the wetting and frictional state of the contact surface. However, the adhesive force of the microstructure is large while releasing the object, which hinders the release of the object. In this study, we developed a release method using a conveyor mechanism that easily peels off in the direction of rotation with a focus on the characteristics of the micro-protrusion structure. This mechanism is driven in conjunction with the gripper's grasping and releasing motions. Our experiments confirmed that the gripper can stably release the object using the proposed mechanism. The proposal in this paper is a mechanism that dynamically changes the adhesive force on a fingertip by mechanically switching the surface state in accordance with the gripper's grasping and releasing states. This idea can be applied to not only surface microstructure such as gecko-inspired surfaces but also adhesive surfaces such as adhesive tape, and provides novel knowledge in the field of robotics as a method of mechanically changing the fingertip adhesive force.