Miracle-dz/UniFAR-FTUs huggingface dataset:
An Overview of Enhancing the Performance of Medical Implants with Nanocomposites

Medical implants are essential tools for treating chronic illnesses, restoring physical function, and improving the quality of life for millions of patients worldwide. However, implant failures due to infection, mechanical wear, corrosion, and tissue rejection continue to be a major challenge. Nanocomposites, composed of nanoparticles or nanofillers dispersed in a matrix material, have shown promising results in enhancing implant performance. This paper provides an overview of the current state of research on the use of nanocomposites for medical implants. We discuss the types of nanocomposites being developed, including polymer-, metal-, and ceramic-based materials, and their advantages/disadvantages for medical implant applications. Strategies for improving implant performance using nanocomposites, such as improving biocompatibility and mechanical properties and reducing wear and corrosion, are also examined. Challenges to the widespread use of nanocomposites in medical implants are discussed, such as biocompatibility, toxicity, long-term stability, standardisation, and quality control. Finally, we discuss future directions for research, including the use of advanced fabrication techniques and the development of novel nanocomposite materials. The use of nanocomposites in medical implants has the potential to improve patient outcomes and advance healthcare, but continued research and development will be required to overcome the challenges associated with their use.
Cementless Metal-Free Ceramic-Coated Shoulder Resurfacing

Shoulder resurfacing is a versatile, bone-conserving procedure to treat arthritis, avascular necrosis, and rotator cuff arthropathy. Shoulder resurfacing is of interest to young patients who are concerned about implant survivorship and those in need of a high level of physical activity. Using a ceramic surface reduces wear and metal sensitivity to clinically unimportant levels. Between 1989 and 2018, 586 patients received cementless, ceramic-coated shoulder resurfacing implants for arthritis, avascular necrosis, or rotator cuff arthropathy. They were followed for a mean of 11 years and were assessed using the Simple Shoulder Test (SST) and Patient Acceptable Symptom State (PASS). CT scans were used in 51 hemiarthroplasty patients to assess the glenoid cartilage wear. Seventy-five patients had a stemmed or stemless implant in the contralateral extremity. A total of 94% of patients had excellent or good clinical results and 92% achieved PASS. 6% of patients required a revision. A total of 86% of patients preferred their shoulder resurfacing prosthesis over a stemmed or stemless shoulder replacement. The glenoid cartilage wear at a mean of 10 years was 0.6 mm by a CT scan. There were no instances of implant sensitivity. Only one implant was removed due to a deep infection. Shoulder resurfacing is an exacting procedure. It is clinically successful, with excellent long-term survivorship in young and active patients. The ceramic surface has no metal sensitivity, very low wear, and, therefore, it is successful as a hemiarthroplasty.
Accelerating the Lattice Boltzmann Method

Since its inception, the field of computational fluid dynamics (CFD) has relied on the Navier-Stokes (NS) equations to govern the simulation of fluid flow. By solving the NS equations at all scales, accurate simulations are possible, albeit at high costs in computational time and power. The exorbitant cost of accuracy is often circumvented through numerical models, approximating some, if not all, scales. Technological advancements have also helped reduce simulation costs, but their impact remains limited as they focus on parallel processing, an approach incompatible with the implicit NS equations. In response to these shortcomings, the Lattice-Boltzmann method (LBM) emerged as an alternative approach for directly solving NS equations. Rooted in kinetic theory, LBM describes the behavior of fluids at a macroscopic level by averaging the fluid particles' interactions at a microscopic level. Thus, by following a meso scopic approach, LBM recovers the NS equations at a cost traditionally matched only by methods employing approximate models. Furthermore, the discrete nature, high locality, and explicit computational scheme of LBM make it an ideal target for parallel processors. Paired with a powerful acceleration hardware, LBM holds the promise of taking CFD simulations to the next level, reaching simulation speeds beyond what Navier-Stokes could achieve. In this paper, we explore the limitations of today's hardware accelerators, which prevent LBM from realizing its full potential. We provide an overview of successful LBM implementations on general-purpose graphics processing units (GPGPU) and field-programmable gate arrays (FPGA), and argue that despite their previous successes, neither platform is likely to provide performance improvements beyond what has already been achieved. As such, we conduct a preliminary study to evaluate the feasibility of an application-specific integrated circuits (ASIC) accelerator, specifically designed to expedite LBM-based simulations. Focusing on the general Lattice-Boltzmann method, the chip design implements the collision and streaming steps, together with a periodic boundary condition. Using the findings of our study, we compare the relative performance and merits of LBM implementations on GPUs, FPGAs, and ASICs, all based on 16-nm technology. Preliminary conclusions indicate that an ASIC LBM accelerator may deliver performance improvements of 33×, relative to GPU devices.
Mitigating Artifacts in Projection Onto Convex Sets Interpolation

Ringing artifacts are often observed above the water-bottom when applying POCS interpolation to marine datasets. The ringing is the result of hard thresholding creating sharp cutoffs in the frequency-wavenumber domain. Moreover, it is likely that the artifacts persist below the water-bottom but are masked by adjacent reflections. Modifying the type of thresholding used can mitigate artifacts, but often at the expense of introducing amplitude bias in the interpolated traces. We investigate several thresholding schemes and provide a generalized thresholding function that allows the style of thresholding to be controlled by a single parameter. We find that soft thresholding combined with a debiasing step provides improved results over hard thresholding in both marine and land datasets.
3- SAT Problem Code design and Result of the Evaluation Function

Base on the genetic algorithms way,if we proceed coding to 3-SAT problems by the adoption of binary system,the code design conforms to the genetic algorithm characteristic completely,and cannot appear the illegal code in the usage of heredity operator process.The data structure is simple and easy to realize,looking for a good way to expressing problem and solving,high-efficiency to find the result of evaluation function from how to be easy to realize.
Magnetoresistance and nonlinear Hall effect in quaternary topological insulator Bi1.5Sb0.5Te1.8Se1.2

The quaternary topological insulator Bi2−xSbxTe3−ySey has exhibited pronounced topological surface states with an insulating bulk. While most transport studies of these compounds are focused on thin flakes peeled from bulk crystals, we carefully analyzed the magneto transport properties of bulk Bi1.5Sb0. 5Te1.8Se1. 2. We have observed weak anti-localization (WAL) and nonlinear Hall effects at low temperatures. Using a multi-channel model, we decomposed the total conductance into three conducting channels of the bulk, impurity band and surface states at various temperatures. The conductance of the surface states is almost constant in the whole temperature range, and contributes about 19.1% in the total conductance at 1.9 K.
Emergent Gravity Simulations for Schwarzschild–de Sitter Scenarios

Building on previous work that considered gravity to emerge from the collective behaviour of discrete, pre-geometric spacetime constituents, this work identifies these constituents with gravitons and rewrites their effective gravity-inducing interaction in terms of local variables for Schwarzschild–de Sitter scenarios. This formulation enables graviton-level simulations of entire emergent gravitational systems. A first simulation scenario confirms that the effective graviton interaction induces the emergence of spacetime curvature upon the insertion of a graviton condensate into a flat spacetime background. A second simulation scenario demonstrates that free fall can be considered to be fine-tuned towards a geodesic trajectory, for which the graviton flux, as experienced by a test mass, disappears.
A review of cybersecurity challenges and recommendations in the healthcare sector

There are a large number of risks inherent in the contemporary business world. The healthcare industry is specifically vulnerable to cybercrime as it depends to a large extent on electronic health information. The increasing threat presented by cybercrime should be considered by organizations when formulating their emergency operating mechanisms. It is also important for healthcare providers to understand the critical cybersecurity scenarios and to prepare themselves according. The only ways security risks and dangers can be decreased are through alertness, awareness, preparedness, and rapid response. This is not easy but can be achieved if one is willing to remain committed to this cause for a long time; it will lead to extensive benefits for a strong healthcare ecosystem. Thus, the current study provides the cybersecurity challenges and recommendations in healthcare sector.
The Welfare Costs of Well-Being Inequality

If satisfaction with life (SWL) is used to measure individual wellbeing, the dispersion of its distribution offers a comprehensive measure of inequality that subsumes the many and various component forms of inequality in particular domains. The cross-country correlation between the level of SWL and its dispersion may thus offer a useful measure of the degree to which happiness differences are related to differences in inequality. A major concern, however, is spurious correlation due to the bounded scale on which SWL is reported. We examine this possibility, and show (i) that the correlation between SWL and its dispersion is only marginally attenuated when allowing for bounded scale reporting, including a purely ordinal measure of dispersion, (ii) that it is stronger in the subset of individuals who care most about inequality, and (iii) that it extends to contributors of SWL that are known to be affected by inequality, with SWL levels ruled out as a mediating variable. These findings allay the concern with spurious correlation, and support the use of the SWL dispersion as a comprehensive measure of inequality. Among rich countries, differences in the variance of SWL explain about as much of the difference in mean SWL as differences in GDP per capita.
ZERO HUNGER Vs MALNUTRITION: DOUBLE EDGED SWORDGROUND REALITY BASED ON NATIONAL FAMILY HEALTH SURVEY-V, INDIA

Background: Recently released Global Hunger Index has put India’s effort in the field of nutrition in a conundrum. Despite significant steps taken to improve nutrition, India is grappling with double edged sword of Malnutrition. Malnutrition, under or over, has affected many countries across the globe. Objective: This article explores the ground reality in the meadow of Nutrition status revealed by National Family Health Survey (NFHS)-5 data for 36states/UTs in India. Material and Methods: It explicitly evaluates the success and inadequacies based on parameters and comparing them with NFHS-4 data. The paper takes on the panoramic view of all forms of malnutrition in different sections as well as the various initiatives and existing programs addressing this issue. Findings: Among the 22 states, 16 states recorded an increase in underweight and severely wasted fewer than 5 children, which were surveyed during the first phase of the NFHS -5. The NFHS-5 data again revealed that except for Goa & Diu all the states / UTs have shown an increase in the percentage of overweight children over the past 5 years. Conclusion: We need timely nutritional interventions, full immunization, and supplementation programs. PoshanAbhiyan components should be implemented using Inter sectoral convergence and use of technology (ICT) for better service delivery.
Ultra Gain Modified Quadratic DC-DC Converter with Single Switch and Common Ground Structure

This article presents a modified high boost DC-DC power electronic converter with ultra-gain, continuous input current and single switch for renewable energy applications. The low terminal output of these green energy sources makes the high gain DC-DC converter a crucial requisite in its employment. In presented work, a modified quadratic converter capable of providing a cubic gain of 1/(1-D)3 is designed with three inductors and capacitors each, five diodes and one single switch with a common ground structure. The designed converter provides a higher output to input voltage ratio at lower duty ratio and thus avoids drawbacks like inductor core saturation, reverse recovery issues, higher conduction losses, etc. The input current is continuous and non-pulsating in nature. An in-depth analysis of the converter, modes of operation is presented along with design and voltage stress considerations. The propounded converter is set side by side with other high gain converters in literature and the analysis is authenticated by MATLAB simulation of a 150W converter.
Revisiting the formative works on the moving contact line to connect and compare modern theories

The motion of a contact line is examined, and comparisons drawn, for a variety of proposed models in the literature. We provide an overview and extension of the original work on the moving contact line problem to elucidate and motivate some of the proposed methods to alleviate the multivalued velocity and nonintegrable stress and pressure singularities, offering a simple introduction to those unfamiliar with the situation and a contemporary look at the early work. We then compare a number of models from the literature in the classic prototype system of spreading of a thin two-dimensional droplet on a planar substrate, namely a variety of slip, disjoining pressure and interface formation models, the latter a sophisticated and complex model introduced by Shikhmurzaev, which differentiates itself from classical models through accounting for a variation in surface layer quantities and having finite-time surface tension relaxation. The thin droplet system utilising a long-wave model for the droplet thickness in a quasistatic spreading regime affords an insight into the behaviours.
Extraordinary transmission technique for microwave antenna applications

The extraordinary optical transmission (EOT) through an array of holes in a metal plate has been a constant source of inspiration for researchers for over a decade (Ebbesen et al 1998 Nature 391 667–9). In this paper, an EOT analogue is proposed in the microwave frequency range for enhancing the radiation performance of a stacked dipole antenna. It is observed that the back radiated power of the antenna is considerably reduced and the reason behind transmission enhancement is the excitation of Fabry–Pérot resonant modes on the slit loaded aperture. Computational analysis based on finite difference time domain is performed for identifying the true reason behind resonant transmission enhancement.
Recommending Words Using a Bayesian Network

Asset management involves the coordinated activities of an organisation to derive value from assets, which may include physical assets. It encompasses activities related to design, construction, installation, operation, maintenance, renewal, and asset disposal. Asset management ensures the coordination of all activities, resources, and data related to physical assets. Recording and monitoring all maintenance activities is a key part of asset management, often done using work orders (WOs). Technicians typically create WOs using “free text”, which can result in missing or ungrammatical words, making it difficult to identify trends and analyse information. To standardise the terminology used for the same asset maintenance operation, this paper proposes a method that suggests words to technicians as they complete WOs. The word suggestion algorithm is based on past maintenance records, and a Bayesian network-based recommender system adapts to present needs verified by technicians using implicit user feedback. Implementing this system aims to normalise the terms used by technicians when filling in a WO. The corpus for this work comes from asset management records collected in a health facility in Portugal operated by a private company.
Aphids on Aphid-Susceptible Cultivars Have Easy Access to Turnip Mosaic Virus, and Effective Inoculation on Aphid-Resistant Cultivars of Oilseed Rape (Brassica napus)

Plant viruses improve transmission efficiency by directly and indirectly influencing vector behavior, but the impact of plant cultivars on these modifications is rarely studied. Using electropenetrography (EPG) technology, a comparative study of the effects of turnip mosaic virus (TuMV) infection on quantitative probing behaviors of the cabbage aphid (Brevicoryne brassicae) was conducted on two oilseed rape cultivars (‘Deleyou6’ and ‘Zhongshuang11’). Compared to mock-inoculated plants, cabbage aphids on infected plants increased the frequency of brief probing, cell penetration, and salivation. Additionally, aphids on infected ‘Deleyou6’ prolonged cell penetration time and decreased ingestion, but not on infected ‘Zhongshuang11’, suggesting that aphids were more likely to acquire and vector TuMV on the aphid-susceptible cultivar ‘Deleyou6’ than on resistant cultivars. TuMV also affected aphid probing behavior directly. Viruliferous aphids reduced the pathway duration, secreted more saliva, and ingested less sap than non-viruliferous aphids. In comparison with non-viruliferous aphids, viruliferous aphids started the first probe earlier and increased brief probing and cell penetration frequencies on the aphid-resistant cultivar ‘Zhongshuang11’. Based on these observations, viruliferous aphids can be inoculated with TuMV more efficiently on ‘Zhongshuang11’ than on ‘Deleyou6’. Although aphid resistance and TuMV infection may influence aphid probing behavior, oilseed rape resistance to aphids does not impede TuMV transmission effectively.
Control of 2D behaviors by partial interconnection

In this paper we study the stability of two dimensional (2D) behaviors with two types of variables: the variables that we are interested to control (the to-be-controlled variables) and the variables on which we are allowed to enforce restrictions (the control variables). We derive conditions for the stabilization of the to-be-controlled variables by regular partial interconnection, i.e., by imposing non-redundant additional restrictions to the control variables.
Analyse de signaux vectoriels basée sur le modèle quaternionique

Using a quaternion model for vector signals and images, it is possible to define the Quaternionic Principal Component Analysis (PCA). Its definition and basic properties are given. Also, a comparison with a 3 order tensor model is investigated. The fact that the quaternionic model is more accurate for colour (and so vector) images than the tensor model is illustrated on a colour image example. Despite a more complicated geometrical interpretation, the Quaternionic PCA is much easier to manipulate and allows the generalisation of simple linear algebra (such as rank) for vector signal and images analysis. Such concepts are sometimes not accessible via the tensor model.
Performance Evaluation of KNN & Decision Tree in Prediction of Heart Disease

Heart disease has been the leading cause of death in recent decades. Every five minutes, one person dies unexpectedly from heart disease. Researchers from all over the world are assisting doctors in diagnosing heart problems. However, machine learning techniques can substantially minimize the number of tests required. The main objective of this paper is to predict the heart disease of a person well in advance to minimise the need for expensive treatment and medicines. The present papers have used some of the finest approaches of machine learning like decision tree and KNN classifier for prediction of heart diseases. These algorithms are quite useful in diagnosing cardiac illness without the use of machinery or labs, by figuring out the problem at a far lower cost. These algorithms are very widely utilized and helpful in other domains. The dataset was obtained from the Kaggle website and contain data of 303 patients and 76 attributes. The accuracy of the KNN along with Decision tree algorithms have been compared with existing work of researchers and found to be more in the detection of the heart disease. These algorithms certainly help in reducing the number of deaths which are happening all around the world.
The Effect of Social Networking Site Use on Depression in Graduate Students: The Mediating Role of Negative Social Comparison and Moderating Role of Implicit Personality Theories

Objective: The current study aimed to investigate the effect of SNS use on graduate students’ depression and further explored the effect of negative social comparison and an individual’s implicit personality theory. Methods: Scales for Social Networking Site Use Intensity, the Negative Social Comparison Measure, the Implicit Personality Theory Inventory, and CES-D were used to investigate 1792 graduate students from a full-time university in Wuhan. Result: (1) Social networking site use was positively correlated with negative social comparison and depression; (2) the mediating effect of negative social comparison was significant in social networking site use’s influence on depression; (3) after controlling for negative social comparison, graduate students’ use of SNS could negatively predict depression; and (4) the mediation effect of negative social comparison was moderated by an individual’s implicit personality theory. Specifically, the mediation effect was more pronounced among the entity theorists, while the graduate students’ incremental implicit personality theory may buffer the depressive effect of negative social comparison. Conclusions: Negative social comparison mediates the relationship between SNS use and depression; in addition, individual differences in implicit personality theory (the entity theorist vs. incremental theorist) moderate the link between negative social comparison and depression.
Investigating Nanowire, Nanosheet and Forksheet FET Hot-Carrier Reliability via TCAD Simulations: Invited Paper

We report TCAD simulation studies on nanowire (NW), nanosheet (NS) and forksheet (FS) FET hot-carrier relia-bility. The simulations entail i) solving the Boltzmann transport equation to obtain the distribution of carriers over energy in the devices, ii) calculation of interface state generation at the channel/gate stack interface and charging of bulk defects in dielectrics, and iii) evaluation of how the generated/trapped charges affect the FET I- V. We discuss the models used in state-of-the-art hot-carrier simulation flows, anneal measurements to probe hot-carrier induced interface defects, the validity of the simulation models in the ($V_{g},V_{d}$) bias space by comparing simulations to NW FET measurements and the conclusions the hot-carrier simulations provide for NS and FS FETs.