Dynamic Interface Research Articles

Promoting photothermal catalytic N2 reduction through dynamic mass transfer and accelerated charge transfer dynamics

The effective adsorption and mass transfer of N2 at the catalytic active site, along with efficient photogenerated charge transfer at the interface are the prerequisites for the photothermal catalysis N2 reduction. Here, the hydrophobic-hydrophilic biphasic heterojunction Bi2WO6/ Bi2Sn2O7 (BWSO-20) was prepared by solvothermal method, and a strong interfacial internal electric field (IEF) was formed. The effects of N2 dynamic mass transfer and interface charge transfer kinetics on the performance of photothermal catalytic N2 reduction (PTC-NRR) was investigated. The results from in-suit DRIFTS, DFT, and molecular dynamics simulations (MD) indicated that a biphasic structure enhanced the dynamic mass transfer of N2 in the hydrophobic phase (BSO) and H2O in the hydrophilic phase (BWO) simultaneously. Additionally, the IEF that accelerates the transfer kinetics of photo-generated charges. Therefore, more photo-generated electrons and holes could transfer to the surface of the hydrophobic/hydrophilic phase catalyst and undergo redox semi-reactions with N2 and H2O. The PTC-NRR reached 366.1 μmoL·g−1 when using BWSO-20 without adding sacrificial agent. This work provides a new way to achieve efficient photothermal N2 reduction based on the interfacial charge transfer kinetics accelerated by the interfacial internal electric field and the dynamic mass transfer enhanced by hydrophobic – hydrophilic two-phase heterojunction.

CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification

Background Medical imaging has seen significant advancements through machine learning, particularly convolutional neural networks (CNNs). These technologies have transformed the analysis of pathological images, enhancing the accuracy of diagnosing and classifying cellular anomalies. Digital pathology methodologies, including image analysis, have improved cervical cancer diagnostics. However, existing commercial platforms are often costly and restrictive, limiting customization and scalability. Methods CINNAMON-GUI is an open-source digital pathology tool based on CNNs for classifying Pap smear images. Transitioning to a Shiny app in Python, it offers enhanced user interface and interactivity. The application supports dynamic web interactions, advanced features for image analysis, and state-of-the-art CNN models tailored for digital pathology. Key features include intuitive UI components, real-time image and plot generation, memory-efficient data handling, and robust training capabilities with customizable CNN architectures. The tool also integrates with Labelme for defining regions of interest and allows testing on external biospecimens. Results Model A (seed 42, 100 epochs) and Model B (same architecture with adjusted augmentation parameters) were compared. Model A stabilized with training accuracy around 0.88 and validation accuracy around 0.913. Model B showed improved performance with training accuracy around 0.91 and validation accuracy around 0.95. Feature mapping highlighted critical morphological aspects, improving classification accuracy. Model B reduced misclassification errors significantly compared to Model A. Conclusions CINNAMON-GUI demonstrates the potential of an open-source platform in digital pathology, providing transparency and collaborative opportunities. The tool enhances diagnostic accuracy through feature map analysis and optimized CNN training. Future development aims to extend its application to other cancer types, leveraging its dynamic and user-friendly interface for broader use in diagnostics.

Superhydrophobic and Highly Flexible Artificial Solid Electrolyte Interphase Inspired by Lotus Effect Toward Highly Stable Zn Anode

AbstractDue to their cost‐effectiveness, high safety, and environmental friendliness, aqueous zinc‐ion batteries (AZIBs) are among the most promising technologies for next‐generation energy storage systems. Nonetheless, dendrite growth, hydrogen evolution, and corrosion at zinc (Zn) anode severely hinder their practical application. In this study, a combination of molecular self‐assembly engineering, squeegee coating, and air spraying process is employed to create a superhydrophobic and highly flexible artificial solid‐electrolyte‐interface layer on Zn anode (denoted as SFM/Zn). Self‐assembled monolayer of triethoxy‐3‐aminopropylsilane optimizes Zn2+ migration kinetics. The superhydrophobic interface, formed by polydimethylsiloxane (PDMS) and trimethoxy(octadecyl)silane (OTS)‐modified nanosilicon dioxide particles, inhibits water‐related side reactions. Furthermore, the highly flexible PDMS serves as a dynamic adaptive interface for Zn anode, effectively alleviating the “tip effect”. Consequently, the SFM/Zn||SFM/Zn symmetrical cells enable reversible and stable Zn plating/stripping at both ultralow current density (0.2 mA cm−2) and ultrahigh current density (45 mA cm−2). The assembled Zn‐vanadium (SFM/Zn||NH4V4O10) cell deliver stable average Coulombic efficiency (nearly 100%) and ultralong cycling stability (135.5 mAh g−1 after 500 cycles at 5 A g−1 and 173.2 mAh g−1 after 1000 cycles at 2 A g−1). This innovative superhydrophobic three‐layered strategy sheds new light on designing highly durable Zn anode for high‐performance AZIBs.

Promoting the OH cycle on an activated dynamic interface for electrocatalytic ammonia synthesis

Renewable-driven electrocatalytic nitrate conversion offers a promising alternative to alleviate nitrate pollution and simultaneously harvest green ammonia. However, due to the complex proton-electron transfer processes, the reaction mechanism remains elusive, thereby limiting energy efficiency. Here, we adopt Ni(OH)₂ as a model catalyst to investigate the dynamic evolution of the reaction interface. A proposed OH cycle mechanism involves the formation of a locally OH-enriched microenvironment to promote the hydrogenation process, which is identified through in-situ spectroscopy and isotopic labelling. By further activating the dynamic state through the implementation of surface vacancies via plasma, we achieve a high Faradaic efficiency of almost 100%. The activated interface accelerates the OH cycle by enhancing dehydroxylation, water dissociation, and OH adsorption, thereby promoting nitrate electroreduction and inhibiting hydrogen evolution. We anticipate that rational activation of the dynamic interfacial state can facilitate electrocatalytic interface activity and improve reaction efficiency.

Dynamics of acoustically levitated ice impacts on smooth and textured surfaces: Effects of surface roughness, elasticity, and structure

Atmospheric ice collisions on exposed outdoor infrastructure are a rarely explored surface design challenge. A primary obstacle to realistic ice particles in the laboratory setting is freezing a droplet without a solid surface present and then allowing it to impact a substrate without physical intervention. Using acoustically levitated ice formation with subsequent release onto a controlled area, a third class of ice-countering system called “ice-impacting” is introduced. Stainless steel 316 (SS), epoxy resin-coated (ER), and laser-textured (LT) surfaces with known surface roughness, hardness, and structural characteristics were subjected to 40 ice droplet impacts each. The impact effect on surface properties and the effect of these properties on solid-solid interfacial impact dynamics, in turn, were examined using an analysis framework based on fundamental conservation laws. Elasticity was the most significant factor in droplet behaviour as the ER surface exhibited rebounding for 78 % of impacts, nearly double the rates of the stainless steel surfaces. However, surface roughness also played a role, particularly for droplets with rotational motion, as immobilization occurred for 66 % of impacts on the rougher LT surface. Moreover, the nanostructures on that textured surface resulted in droplet redirection perpendicular to the surface directionality. In contrast, the other surfaces experienced no consistent change in rebound angle. Elasticity also affected momentum retention: the ER surface had a translational restitution coefficient of 0.32 compared to 0.17 for the SS/LT surfaces. Surface roughness was a predominant aspect of energy retention, as the LT surface had a translational-to-rotational energy transfer coefficient of 0.07 (0.23 for the smoother surfaces), resulting in an overall energy retention coefficient of 0.09 compared to 0.28 for the SS and ER surfaces on average. The results show that the interplay between elasticity, roughness, and structure at a dynamic solid-solid interface must be considered to optimize their effectiveness when designing ice-countering surfaces.

Viscous Rayleigh–Taylor instability at a dynamic interface in spherical geometry

In their study, Terrones et al. [“Rayleigh–Taylor instability at spherical interfaces between viscous fluids: The fluid/fluid interface,” Phys. Fluids 32, 094105 (2020)] elucidated that investigations into the viscous Rayleigh–Taylor instability (RTI) in spherical geometry at a quiescent interface yield significant physical insights. Yet, the complexity amplifies when addressing a dynamic spherical interface pertinent to engineering and scientific inquiries. The dynamics of RTI, particularly when influenced by the Bell–Plesset effects at such interfaces, offers a rich tapestry for understanding perturbation growth. The evolution of this instability is describable by a coupled set of equations, allowing numerical resolution to trace the radius evolution and instability characteristics of a bubble akin to the implosion scenario of a fusion pellet in inertial confinement fusion scenarios. The investigation encompasses the impact of viscosity, external pressure, discrete mode, and a surface-tension-like force on the interfacial instability. In general, the oscillation of the bubble radius exhibits a decay rate that diminishes with increasing Reynolds number (Re). It is important to note that the growth of the perturbed amplitude is not only solely determined by the mechanical properties of the fluid but also by the dynamics of the interface. The low-order modal (n<20) disturbance is dominant with relatively high Reynolds numbers. There is a specific mode corresponding the maximum in amplitude of perturbation in the linear phase, and the mode decreases as the Re decreases. The application of external pressure noticeably accelerates the bubble's oscillation and impedes its shrinkage, thereby preventing the bubble from collapsing completely. The increase in external pressure also promotes the transition from the first peak to the trough of the disturbance. At higher-order modes, the fluctuation of the disturbance curve tends to be uniform. The ultrahigh-order modes require a strong enough pressure to be excited. In addition, the smaller Weber number (We) helps to accelerate the bubble oscillation and promote the fluctuation of the disturbance amplitude, but has no significant effect on the time of the disturbance peak. These findings contribute to a deeper understanding of interfacial instabilities in the context of spherical bubbles and, especially, for the dynamics of fusion capsules in inertial confinement fusion.

Analysis of magnesia-carbon bricks erosion in vanadium extraction converters: Insights from dynamic experiments and interface characterization

This paper uses a rotary furnace to simulate the dynamic erosion behavior of various magnesia-carbon bricks within a vanadium extraction converter, focusing on the effects of carbon content and antioxidants on erosion. The results indicate that vanadium-rich slag primarily consists of oxide solid solutions, iron vanadium spinel, and metallic Fe. Adding aluminum and silicon powders to the bricks reduces apparent porosity, increases body density, and improves slag erosion resistance. However, an increase in carbon content (12.54 wt% to 18.59 wt%) within magnesia-carbon bricks correlates with decreased high-temperature strength, exacerbating the reaction propensity with slag and consequent structural damage. Analysis of the interface phase between magnesia-carbon bricks and vanadium slag reveals a predominance of metal phase, spinel phase, and liquid slag phase. Thermodynamic calculations suggest an initial reaction between MgO and C on the brick surface, yielding Mg vapor and CO gas, while C reacts with slag to produce Cr and V elements, leading to surface structure degradation. Subsequent slag encasement and dissolution of remaining MgO via decarburization channels further erode magnesia-carbon bricks. Cumulative erosion iterations ultimately culmi nate in performance failure of magnesia-carbon bricks.

Aberrant blood-brain barrier dynamics in cerebral small vessel disease - a review of associations, pathomechanisms and therapeutic potentials

This review explores the pivotal role of the blood-brain barrier (BBB) in maintaining central nervous system (CNS) homeostasis and its dynamic involvement in the pathogenesis of cerebral small vessel disease (CSVD), i.e., the major precursor of age-related neurodegenerative diseases such as vascular dementia and Alzheimer’s disease. It underscores the BBB as a critical physiological boundary that regulates the exchange between the bloodstream and the cerebral milieu through a complex and dynamic interface composed of endothelial cells, astrocyte endfeet, and pericytes. The integrity of this barrier is paramount for neural function, shielding the brain from toxicants and pathogens while facilitating the transport of essential nutrients. Nevertheless, BBB dysfunction is recognized as a lead in the pathogenesis of neurodegeneration including CSVD, emphasizing the need for focused research on maintaining or restoring BBB function. This review highlights recent advancements in our understanding of BBB dynamics in both health and disease states, its involvement in CSVD pathomechanisms, and the challenges and future directions of translational research and emerging technologies. The review advocates for a multidisciplinary approach to uncover the complexity of BBB dysfunction in CSVD, as well as insights into potential therapeutic targets aimed at preserving BBB integrity, thereby minimizing its impact given the notable world’s aging demographics.

Arrhythmogenic cardiomyopathy-related cadherin variants affect desmosomal binding kinetics

Cadherins are calcium dependent adhesion proteins that establish and maintain the intercellular mechanical contact by bridging the gap between adjacent cells. Desmoglein-2 (Dsg2) and desmocollin-2 (Dsc2) are tissue specific cadherin isoforms of the cell-cell contact in cardiac desmosomes. Mutations in the DSG2-gene and in the DSC2-gene are related to arrhythmogenic right ventricular cardiomyopathy (ARVC) a rare but severe heart muscle disease. Here, several possible homophilic and heterophilic binding interactions of wild-type Dsg2, wild-type Dsc2, as well as one Dsg2- and two Dsc2-variants, each associated with ARVC, are investigated. Using single molecule force spectroscopy (SMFS) with atomic force microscopy (AFM) and applying Jarzynski's equality the kinetics and thermodynamics of Dsg2/Dsc2 interaction can be determined. The free energy landscape of Dsg2/Dsc2 dimerization exposes a high activation energy barrier, which is in line with the proposed strand-swapping binding motif. Although the binding motif is not affected by any of the mutations, the binding kinetics of the interactions differ significantly from the wild-type. While wild-type cadherins exhibit an average complex lifetime of approx. 0.3 s interactions involving a variant consistently show - lifetimes that are substantially larger. The lifetimes of the wild-type interactions give rise to the picture of a dynamic adhesion interface consisting of continuously dissociating and (re)associating molecular bonds, while the delayed binding kinetics of interactions involving an ARVC-associated variant might be part of the pathogenesis. Our data provide a comprehensive and consistent thermodynamic and kinetic description of cardiac cadherin binding, allowing detailed insight into the molecular mechanisms of cell adhesion.

Applying matrix diagonalisation in the classroom with GeoGebra: parametrising the intersection of a sphere and plane

In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of this problem, namely the parametrisation of the intersection of a plane and sphere. GeoGebra not only allows students to confirm their calculations, but it can also provide motivation to create connections between prior learning experiences and new knowledge.

Core–Shell Nanostructured Assemblies Enable Ultrarobust, Notch‐Resistant and Self‐Healing Materials

AbstractActuators based on stimulus‐responsive soft materials have attracted widespread attention due to their significant advantages in flexibility and structural adaptability over traditional rigid actuators. However, the development of fast‐actuating, mechanical robust and self‐healing actuators without compromising flexibility remains an ongoing challenge. Here, this study presents a photo‐responsive flexible actuator by incorporating core–shell liquid metal nano‐assemblies into a polyurethane matrix to construct a dynamic supramolecular interface. The nano‐assemblies are endowed with adaptive characteristics to external loading, being expected to dissipate energy via the reversible reconstruction of hydrogen bonding and deformation of nano‐assemblies. The obtained composites exhibit excellent mechanical strength (31 MPa), low modulus (2.02 MPa), high stretchability (1563.95%), autonomous self‐healing (92.5%), and NIR‐responsive actuation properties. Furthermore, the combination of high cohesive energy but fluxible nano‐liquid metal core, and strong dynamic interface not only achieves the balance of high tensile strength and high flexibility but also endows the actuators with outstanding notch‐resistant performance (fracture energy≈58.8 kJ m−2) through multiphase energy dissipation. This work provides a promising strategy for developing soft yet tough self‐healing materials in the fields of flexible robotics and artificial muscles.

Large-scale growth of MoS2 hybrid layer by chemical vapor deposition with nanosheet promoter

Molybdenum disulfide (MoS2) serves as the representative transition metal dichalcogenide material, showing promise for diverse applications owing to its outstanding properties. Extensive research has been conducted on the growth of large-scale MoS2 films using chemical vapor deposition (CVD) with seeding accelerators for various device applications. In this study, we investigated the growth of large-scale MoS2 films for potential applications, in which our approach utilized CVD with a homogeneous nanosheet promoter (MoS2 flakes) and effectively minimized residue creation. Optical and structural analyses confirmed the successful synthesis of a large-scale MoS2 layer. Moreover, the decoration of metallic nanoparticles on the MoS2 surface was employed to enhance the functionalities of application devices such as optical sensors and gas sensors. The capability of MoS2 to act as a nucleation site for nanoparticles during synthesis offered an intriguing pathway for augmenting the attachment and performance of nanoparticles on the MoS2 surface. The photodetector, integrating a hybrid MoS2 layer and Cu nanoparticles, exhibited superior photodetection properties, attributed to the increased excitons at the interface between the metal electrodes and MoS2 films. Furthermore, in order to enhance the characteristics of the gas sensor, Pd nanoparticles were incorporated during the synthesis of MoS2 layers. This dynamic interface between Pd particles and MoS2 films presents an opportunity to explore novel materials with enhanced catalytic properties.

Revealing the dynamic interface evolutions of electrochemical pre-lithiated graphite electrodes in practical workplace atmospheres

The electrochemical pre-lithiation (EC-PrLi) method using half-cell configuration exhibits great potential in constructing a uniform and stable solid electrolyte interface (SEI) in lithium-ion batteries (LIBs). The exposure procedures for EC-PrLi electrodes are inevitable during electrode transfer and cell fabrication, the SEI structure and stability of pre-lithiated electrodes are significantly affected for the high reactivity of SEI in ambient air. Hence, the stability of pre-lithiated electrodes is one of the most significant indexes reflecting the possibility for large-scale applications. Here, graphite electrodes are chosen for EC-PrLi, revealing for the first time the dynamic interface evolution of pre-lithiated graphite electrodes exposed to practical environments (glove box:GB and dry room:DR). The SEI of the lithiated electrode (D-12) exposed to a more realistic environment (DR) evolves into unstable and thin (∼1.5 nm) poor-LiOH SEI. The electrochemical performance changes of lithiated electrodes exposed to different conditions are being revealed. The lithiated graphite electrode (D-12) exhibits poor rate characteristics (314.6 mAh g−1 at 0.05 C and 22.8 mAh g−1 at 1.0 C) and cycling stability (capacity retention rate of 81.3 %). This work reveals the dynamic interface evolution of EC-PrLi graphite electrodes in practical environments, providing guidance for the broader application of pre-lithiation technology in practical.

Conjugation Linked PEDOT:PSS with Low Impedance and High Stretchability for Epidermal Electrophysiology.

Long-term epidermal recording of bioelectricity is of paramount importance for personal health monitoring. It requires stretchable and dry film electrodes that can be seamlessly integrated with skin. The simultaneous achievement of high conductivity and skin-like ductility of conducting materials is a prerequisite for reliable signal transduction at the dynamic interface, which is also the bottleneck of epidermal electrophysiology. Here, carbon nanotubes (CNTs) are introduced as "conjugation linkers" into a topologically plasticized conducting polymer (PEDOT:PSS). A thin-film electrode with high conductivity (≈3250Scm-1) and high stretchability (crack-onset strain>100%) is obtained. In particular, the conjugation linker enables the high volumetric capacitance and the low film resistance, both of which synergically reduce the interfacial impedance. The capabilities of this electrode is further demonstrated in the precise recording of various electrophysiological signals.

Temperature effects on solid state bonding joints of ultrafine-grained CNT/Al–Cu–Mg composites

The joining of CNT/Al composites is a technology bottleneck in its engineering application. In this study, a bonding method of ultrafine-grained CNT/Al–4Cu–1Mg composites was performed. Microstructure and mechanical properties of the joints were characterized, then the interface bonding process and mechanism were explored. The results indicate that increasing temperature can accelerate the healing of interface voids and the dissolution of interface oxides, but overheat will lead to the softening of bonding joints and the conversion of CNTs to Al4C3. Under the optimal temperature of 500 °C, the bonding interface has basically healed, and the bonding strength is up to 380 MPa, which exceeds 90 % of the strength of raw materials. Besides, the key to interface healing is the fragmentation and dissolution of interface oxides which have been identified as MgAl2O4. The bonding behavior is a synergistic effect of dynamic recovery, interface migration, and atomic diffusion. Especially, CNTs and Al4C3 phases provide short-circuit diffusion channels and also inhibit the softening of the joints.

RECBOT: Web-based Laptop Recommendation using Machine Learning

Abstract: This project presents the development of a Laptop Recommendation System leveraging machine learning to assist users in selecting the most suitable laptop based on their specific requirements. By employing a content-based filtering algorithm, the system analyzes various attributes of laptops such as performance, price, and features to generate personalized recommendations. The machine learning model is trained on a comprehensive dataset of laptops, enabling it to accurately match user preferences with the optimal laptop options. The frontend of the system is developed using Vue.js, providing a dynamic and responsive user interface that enhances the overall user experience. This approach not only simplifies the decision-making process but also enhances user satisfaction by ensuring that the recommended laptops meet the individual needs of each user. The implementation of this system demonstrates the potential of machine learning, content-based filtering, and modern web development frameworks like Vue.js in creating intelligent, user-centric recommendation solutions

Preparation of a low-temperature demulsifier derived from natural cottonseed oil

In this study, a low-temperature demulsifier (TEP-L) was synthesized by a simple method using polyethylene glycol 1000, and low-cost and readily accessible cottonseed oil as raw materials. The cottonseed oil was first hydrolyzed and then directly reacted with polyethylene glycol 1000 to obtain TEP-L. The chemical composition of TEP-L was determined by Fourier transform infrared spectroscopy (FT-IR) and nuclear magnetic resonance hydrogen spectroscopy (1H NMR). A comprehensive investigation was conducted to explore the demulsification performance of TEP-L in water-in-oil (W/O) emulsion. The investigation notably considered the effect of demulsifier dosage, temperature, settling time, pH value, and salinity on the demulsification process. The results demonstrated that the dehydration rate (DR) could reach 100 % with 1000 mg/L of TEP-L at 40 ℃ for 21 h, or a dosage of 500 mg/L at 60 ℃ for 240 min. Moreover, TEP-L exhibited a DR exceeding 90 % over a broad pH range of 8–12 and displayed remarkable resistance to salt. Characterization methods such as surface tension (SFT), dynamic interface tension (IFT), zeta potential, and optical microscopy observation were utilized to investigate the demulsification mechanisms.

Dynamic molecular adsorption interface strategy for stable aluminum batteries

Rechargeable aluminum batteries (RABs) are potential candidates for large-scale energy storage devices due to their high energy density, inherent safety, and low cost. However, the corrosion of ionic liquid (IL) electrolyte and the growth of dendrite have severely restricted the application and development of RABs. Herein, an effective strategy of dynamic molecular adsorption interface is proposed for the directional modulation of the electrode/electrolyte interface by introducing cetyltrimethyl-ammonium chloride (CTAC) additives into electrolyte to inhibit corrosion and Al dendrite growth. The preferentially adsorbed CTAC molecular layer not only induces uniform Al plating/stripping, but also its amphiphilic molecular structure promotes ions migration and diffusion by improving electrode/electrolyte interfacial wettability. Benefiting from the interface optimization of CTAC, the assembled Al//Al symmetric battery were stably cycled for more than 1200 h at 3 mA cm−2 with 1 mAh cm−2. The specific capacity of the Al//FG full battery increased by 10.5% after 600 cycles (from 95 mAh g−1 to 105 mAh g−1 at 0.5 A g−1), much better than that of the pure IL electrolyte (380 cycles start to decay). This effective strategy of dynamic molecular adsorption interface construction can provide theoretical reference and practical guidance for interface modification and adjustment of other batteries electrolyte.

MODERNIZING REMOTE HIRING: IMPROVING EFFECTIVE RECRUITING WITH AI-POWERED VIRTUAL INTERVIEWS

Abstract – This study details the conception, creation, and assessment of a cutting-edge virtual interviewing tool intended to transform the interview procedure for a range of use cases, such as college applications and employment interviews. Using state-of-the-art technologies like Chat GPT, Node.js, React.js, AWS, and ASP. Net, C#, and Mongo DB, the application helps to cut down on administrative costs while streamlining the interview process and improving applicant experience and assessment. Due to the COVID-19 epidemic and the resulting rapid evolution of recruiting and recruitment procedures, virtual interview solutions have become necessary in order to support distant work and social distancing measures. Because of this shift, hiring procedures now use artificial intelligence (AI) and natural language processing (NLP) technology to reduce human bias and enable automated applicant evaluation. The online conversation Efficiency and user experience are given top priority in the application built for this project. Using an intuitive UI and smooth communication, applicants may participate in interactive interviews from the comfort of their homes. Both interviewers and candidates may save a significant amount of time by using the program to automate operations like arranging interviews, choosing questions, and rating candidates. An organized methodology is used in the development process, which includes phases for requirement analysis, design, development, testing, deployment, and assessment. User expectations and regulatory compliance are met by the program through incremental changes made possible by usability testing and stakeholder input gathering. The app’s ability to streamline conventional interview procedures and produce cost savings, greater applicant satisfaction, and efficiency are what make it significant. By demonstrating how cutting-edge technology are integrated and resolving legal and In light of ethical concerns, this study advances the domains of educational technology and staffing, opening the door for new developments. Keywords – The virtual interviewing tool utilizes Chat GPT for AI-driven interactions, Node.js for server-side operations, and React.js for a dynamic user interface. AWS provides scalable cloud infrastructure, while ASP.NET and C# manage application development and business logic. Mongo DB is the database solution, storing applicant data and interview information. Together, these technologies streamline the interview process, reduce administrative costs, and enhance applicant experience and assessment accuracy.

LIBRARY LINX: BRIDGING EDUCATION WITH EFFICIENT LIBRARY MANAGEMENT

Abstract: The School Library Management System (SLMS) frontend is an essential component designed to provide a user-friendly interface for students, teachers, and librarians to efficiently manage library resources. The frontend interface serves as the gateway for users to access various features and functionalities offered by the SLMS. The popular JavaScript package React.js was utilised to build the front end of the SLMS. A dynamic and responsive interface provided by React.js makes it simple for users to navigate the library system. React.js simplifies component-based development by allowing for code reuse and modularity. Node.js is used to perform server-side logic and data administration on. Index Terms –Front-end Development , React Js , Design , React Dev Tools.