Specific Interface Research Articles

Translating meaning representations to behavioural interface specifications

Higher-order logic can be used for meaning representation in natural language processing to encode the semantic relationships in text. Alternatively, using a formal specification language for meaning representation is more precise for specifying programs and widely supported by automatic theorem provers, while deductive verification based on higher order logic is less common for mainstream programming languages. This paper addresses the research question of translating higher-order logic meaning representations generated from method-level code comments into a formal specification language that extends first-order logic. Doing so requires resolving possible ambiguities in determining the appropriate semantics for predicates. This is an open challenge in the path toward using natural language processing with formal methods. To address this, the paper proposes an approach and constructs a compiler for translating meaning representations, generated from Java programs with method-level comments, into Java Modelling Language. We evaluate the compiler on a set of representative benchmarks, including programs and specifications from the Java API, by generating Java Modelling Language specifications and statically checking them with a theorem prover. Results show that in 94% of the cases Java Modelling Language is accurately generated and in 97% of those cases it can be automatically checked with a state-of-the-art theorem prover.

A Comprehensive Review of Muscle-Tendon Junction: Structure, Function, Injury and Repair.

The muscle-tendon junction (MTJ) is a highly specific tissue interface where the muscle's fascia intersects with the extracellular matrix of the tendon. The MTJ functions as the particular structure facilitating the transmission of force from contractive muscle fibers to the skeletal system, enabling movement. Considering that the MTJ is continuously exposed to constant mechanical forces during physical activity, it is susceptible to injuries. Ruptures at the MTJ often accompany damage to both tendon and muscle tissues. In this review, we attempt to provide a precise definition of the MTJ, describe its subtle structure in detail, and introduce therapeutic approaches related to MTJ tissue engineering. We hope that our detailed illustration of the MTJ and summary of the representative research achievements will help researchers gain a deeper understanding of the MTJ and inspire fresh insights and breakthroughs for future research.

A human-system integration framework and its application for special vehicle interface design under typical human readiness levels

Life cycle Human System Integration (HSI) practices are crucial for optimizing human system performance, reducing costs, and ensuring safety. To address the limited HSI practices under typical Human Readiness Levels (HRLs), our study proposes an HSI theoretical framework and applies it to the design of human-machine interfaces (HMIs) for special vehicles. A stakeholder survey evaluates effectiveness of the framework and its application. Conclusions: (1) The framework, based on the input-process-output model, covers HSI processes and their support across HRLs. (2) The case study of HMI design in HRLs 4-6 identifies key processes and their specific support, contributing to the refinement of the framework. (3) The stakeholder survey underscores the importance and effectiveness of HSI processes and their support in the case study for life cycle human factor practices, suggesting areas for improvement in structuring and operability. The study offers insights into HSI practices under typical HRLs, merging theoretical and case study perspectives.

Client-side web-based model coupling using basic model interface for hydrology and water resources

Abstract A recent trend in hydroinformatics has been the growing number of data, models, and cyber tools, which are web accessible, each aiming to improve common research tasks in hydrology through web technologies. Coupling web-based models and tools holds great promise for an integrated environment that can facilitate community participation, collaboration, and scientific replication. There are many examples of server-side, hydroinformatics resource coupling, where a common standard serves as an interface. Yet, there are few, if any, examples of client-side resource coupling, particularly cases where a common specification is employed. Toward this end, we implemented the basic model interface (BMI) specification in the JavaScript programing language, the most widely used programing language on the web. By using BMI, we coupled two client-side hydrological applications (HydroLang and HLM-Web) to perform rainfall–runoff simulations of historical events with rainfall data and a client-side hydrological model as a case study demonstration. Through this process, we present how a common and often tedious task – the coupling of two independent web resources – can be made easier through the adoption of a common standard. Furthermore, applying the standard has facilitated a step toward the possibility of client-side ‘Model as a Service’ for hydrological models.

Problems associated with creating special software for simulating of human physiological responses to dynamic accelerations

Under extreme accelerations, human physiological mechanisms cannot provide adequate circulation. Special methods and devices protecting pilot’s brain and eye functionality have been proposed but their efficiency is individual and depends on pilot’s skills. Currently, the lonely technology to safely acquire and test the necessary skills is based on use of special centrifuges. However, lack of adequate data about physiological and biomechanical events are two main causes worsening the training results. Special computer simulators, capable to model and visualize the main mechanical and physiological effects occurring under dynamic accelerations, could increase the effectiveness of future pilot’s training process. This publication aims to define fundamental problems concerned with creating the required software. There exist two main groups of problems. The first group is concerned with the necessity to create basic mathematical models quantitatively describing both the physiological events and effects induced by protective maneuvers. Here special logical procedures, individualizing the basic physiological models, have to be proposed. The second group of problems is predominantly technical and associated with the necessity of special user interface (SUI) development. SUI must be subdivided into two functional sections – one for preparing a single computer experiment (simulation), and another – for analyzing the results of simulation. An experiment preparation includes the following events: i) a preliminary tuning of models according to biometrical data; ii) a setting of acceleration profile; iii) a choosing of protective algorithms and tools (or without protections); iv) a choosing of forms for results storage. Graphs presenting the dynamics of input and output variables are the main forms while the table forms are also included. The user (trainer or trainee) will be able to retrieve from the memory graphs of previous simulations to compare the effectiveness of additional protective elements. The software must be autonomic for the Windows platform.

Development of an online auction management system: A case study of auction holdings limited

The tobacco industry is crucial to Malawi's economy, accounting for over 70% of the country's foreign exchange earnings and supporting the livelihoods of a significant portion of the population. Despite its vital role, the current auction management system used by Auction Holdings Limited (AHL) encounters several issues. These include labor-intensive manual processes, a lack of transaction transparency, and inefficiencies that result in delayed payments and disputes over lot allocations. This paper proposes developing an online tobacco auction management system to address these challenges. The new system aims to convert existing manual processes into automated workflows, minimizing human error and speeding up processing times. By utilizing digital technologies, the system will offer real-time updates on auction activities, enhancing transparency for all stakeholders, including farmers, buyers, and regulatory bodies. Additionally, it will streamline the lot allocation process and ensure prompt and secure payment transactions, thereby reducing disputes and improving participant satisfaction. This paper provides a thorough analysis of the proposed system's design and functionality, including user interface specifications, data management protocols, and security features. A feasibility study covering operational, economic, legal, and technical aspects confirms the system's viability. This paper also examines the system's potential impact on the tobacco industry, highlighting benefits like increased operational efficiency, enhanced stakeholder trust, and overall economic improvements.

Computational Methods to Target Protein-Protein Interactions.

The chapter emphasizes the importance of understanding protein-protein interactions in cellular mechanisms and highlights the role of computational modeling in predicting these interactions. It discusses sequence-based approaches such as evolutionary trace (ET), correlated mutation analysis (CMA), and subtractive correlated mutation (SCM) for identifying crucial amino acid residues, considering interface conservation or evolutionary changes. The chapter also explores methods like differential ET, hidden-site class model, and spatial cluster detection (SCD) for interface specificity and spatial clustering. Furthermore, it examines approaches combining structural and sequential methodologies and evaluates modeled predictions through initiatives like critical assessment of prediction of interactions (CAPRI). Additionally, the chapter provides an overview of various software programs used for molecular docking, detailing their search, sampling, refinement and scoring stages, along with innovative techniques and tools like normal mode analysis (NMA) and adaptive Poisson-Boltzmann solver (APBS) for electrostatic calculations. These computational and experimental approaches are crucial for unraveling protein-protein interactions and aid in developing potential therapeutics for various diseases.

Fabrication and Validation of Sub-Cellular Carbon Fiber Electrodes.

Multielectrode arrays for interfacing with neurons are of great interest for a wide range of medical applications. However, current electrodes cause damage over time. Ultra small carbon fibers help to address issues but controlling the electrode site geometry is difficult. Here we propose a methodology to create small, pointed fiber electrodes (SPFe). We compare the SPFe to previously made blowtorched fibers in characterization. The SPFe result in small site sizes [Formula: see text] with consistently sharp points (20.8 ± 7.64°). Additionally, these electrodes were able to record and/or stimulate neurons multiple animal models including rat cortex, mouse retina, Aplysia ganglia and octopus axial cord. In rat cortex, these electrodes recorded significantly higher peak amplitudes than the traditional blowtorched fibers. These SPFe may be applicable to a wide range of applications requiring a highly specific interface with individual neurons.

Time, causality, and realizability: Engineering interactive, distributed software systems

Today, software systems are distributed, concurrent, interactive, embedded, and often time-critical. They communicate and cooperate by data exchange. Introducing notions of time, causality, and realizability into interface-based data flow models results into a powerful model for engineering cyber-physical and, generally, distributed software systems. Architectures and their specification are designed by the concurrent composition of systems. This approach provides high expressive power supporting explicitly specification of interface behavior, encapsulation, abstraction, refinement, verification, concurrent composition, and modularity. The key idea is a formal, semantically coherent modelling, and specification framework that integrates the specification of time-critical and non-time-critical software embedded into cyber-physical systems. The approach supports the refinement of interface specifications of non-time-critical systems into interface specifications of time-critical systems and vice versa. This leads to an integrated specification and design approach for time-critical data flow architectures with soft, firm as well as hard time-critical requirements.

Dual biomimetic surfaces with anisotropic wettability for multi-scale droplets manipulation

Droplets manipulation on functional biomimetic surfaces have been highly anticipated for their wide range of applications. However, preparing a metal platform for manipulating multi-scale droplets without external energy input remains a challenge. Herein, dual biomimetic surfaces (DBSs) were fabricated by twice laser and thiol modification. The unique interfacial behavior of the droplets can be realized under the synergistic effect of the special “millimeter-micrometer-nanometer” multi-hierarchical composite structure and chemical composition. The as-prepared DBSs can achieve multi-scale droplets manipulation, directional self-cleaning in various media, and efficient directional fog collection. Further, the mechanism of specific interface behavior is analyzed in depth. Nanoparticles endow DBSs with more capture points and condensation cores and micrometer mastoids realized the transmission and aggregation of microscopic droplets through the action of Laplace force. Based on resistance, energy barriers and three-phase contact line, influence of millimeter grooves on anisotropic wettability and directional transportation of the droplets is analyzed. Besides, the multi-hierarchical structure also endows DBSs with good droplets manipulation ability and stability. This work not only provides an advanced biomimetic platform, but also provides an important reference for metal-based lab-on-a-chip for multi-scale droplets manipulation.

БАЗА ДАНИХ ДЛЯ АВТОМАТИЗОВАНОГО РОЗПІЗНАВАННЯ ТИПУ БЕЗПІЛОТНОГО АВІАЦІЙНОГО КОМПЛЕКСУ ЗА ЙОГО РАДІОСИГНАЛАМИ

The detection and technical analysis of the radio transmitters radiation of the unmanned aerial complexes elements allows to establish the fact of their use of and to identify type. Recognizing the type of unmanned aerial complex by their radio signals is carried out by comparing the estimated parameters of radio signals with known values stored in the database. The structure of the unmanned aerial complexes radio signal database based on the relational data model is proposed in the article. It is a set of interdependent two-dimensional tables that store information about parameters and characteristics of radio signals of control, telemetry and data radio lines, operating frequencies of receivers of the global navigation satellite systems, as well as purpose, belonging, aerodynamic scheme, appearance, main tactical and technical characteristics and recommendations for countermeasures. Information about the characteristics of unmanned aerial complex channels radio signals contains data on the frequency bands of the radio channel, spread spectrum parameters, modulation parameters, images of amplitude-frequency spectra and spectrograms. The use of the information collected in the database makes it possible to recognize the unmanned aerial complex type by its radio signals and to make a decision about the frequency bands in which the suppression of radio channel receivers, navigation equipment will be carried out, and to choose the most effective radio interference. Special software of the unmanned aerial complexes radio signal database was developed in accordance with the proposed structure. Special software allows you to view, edit, copy, add new information about unmanned aerial complexes, parameters and characteristics of their radio channels, as well as search. The special software user interface provides a simultaneous view of all information about unmanned aerial complex, parameters and characteristics of its radio signals. Keywords: database; radio signal; unmanned aircraft complex; parameter; characteristic; identification; countermeasure; special software.

SPI Master Slave Communication

The serial-peripheral interface (SPI) protocol also called asynchronous serial interface specification is used for communication between single master and single/multiple slaves. With the increase in number of slaves causing high complexity of circuit creates a demand in self-test ability feature for SPI module in order to test for fault free circuits. Built-In-Self-Test (BIST) in the answer for self-test in circuits as well as it helps in reduction of maintenance and testing cost. Design of BIST embedded SPI module with single master and single slave configuration has been introduced in these paper, Here 8-bit is transferred across the module, Where the Circuit under Test (CUT) is being Self-Tested with BIST feature for its correctness. This SPI module is designed using Verilog hardware description language(HDL) using EDA playground platform for application like applications specific integrated circuit (ASIC) or system on chip (SOC). SPI stands for the Serial Peripheral Interface. It is a serial communication protocol that is used to connect low-speed devices. It was developed by Motorola in the mid-1980 for inter-chip communication. It is commonly used for communication with flash memory, sensors, real-time clock (RTC), analog-to-digital converters, and more. It is a full-duplex synchronous serial communication, which means that data can be simultaneously transmitted from both directions. The main advantage of the SPI is to transfer the data without any interruption. Many bits can be sent or received at a time in this protocol. In this protocol, devices are communicated in the master-slave relationship. The master device controls the slave device, and the slave device takes the instruction from the master device. The simplest configuration of the Serial Peripheral Interface (SPI) is a combination of a single slave and a single master. But, one master device can control multiple slave devices

Design and Construction of Enzyme-Based Electrochemical Gas Sensors.

The demand for the ubiquitous detection of gases in complex environments is driving the design of highly specific gas sensors for the development of the Internet of Things, such as indoor air quality testing, human exhaled disease detection, monitoring gas emissions, etc. The interaction between analytes and bioreceptors can described as a "lock-and-key", in which the specific catalysis between enzymes and gas molecules provides a new paradigm for the construction of high-sensitivity and -specificity gas sensors. The electrochemical method has been widely used in gas detection and in the design and construction of enzyme-based electrochemical gas sensors, in which the specificity of an enzyme to a substrate is determined by a specific functional domain or recognition interface, which is the active site of the enzyme that can specifically catalyze the gas reaction, and the electrode-solution interface, where the chemical reaction occurs, respectively. As a result, the engineering design of the enzyme electrode interface is crucial in the process of designing and constructing enzyme-based electrochemical gas sensors. In this review, we summarize the design of enzyme-based electrochemical gas sensors. We particularly focus on the main concepts of enzyme electrodes and the selection and design of materials, as well as the immobilization of enzymes and construction methods. Furthermore, we discuss the fundamental factors that affect electron transfer at the enzyme electrode interface for electrochemical gas sensors and the challenges and opportunities related to the design and construction of these sensors.

Illuminating muscle memory's sinister side: a social media case study

ABSTRACT When a task is repeated, it becomes part of procedural memory. This type of memory dedicated to movement is called ‘muscle memory’, which allows one to perform actions unconsciously. Within the context of social media, muscle memory builds up if one uses SM applications frequently. In this paper, we investigate the effects of muscle memory within Instagram, and report the following findings: We designed a user study examining the speed and accuracy of using a newly changed interface which showed slower reaction time and more errors. Combining these results with users' perceived feelings lead us to conclude that in specific UX interface changes muscle memory can be applied as a dark pattern.

Hydrophobic microenvironment mediated photo-Fenton beads confining free radicals in vicinity of water-soluble contaminants for enhancing water purification

Heterogeneous photo-Fenton process can produce reactive oxygen species (ROS) on the catalysts surface; however, it will decay quickly in bulk solution, resulting in low utilization rate. Herein, we design a hydrophobic microenvironment mediated polymer beads (HMPBs) as an alternative platform to immobilize Fenton-like catalysts for efficiently confining ROS in hydrophilic area and improving mass transfer. Molecular dynamics simulation predicted that diffusion of reactants will slow down on mixed hydrophilic/hydrophobic interface so that the short-lived ROS can oxidize contaminants efficiently. Consequently, the optimal HMPBs exhibits remarkably increased degradation kinetic constants, which is about 4.4 and 1.5-fold improvement in comparison with single hydrophilic and hydrophobic beads, respectively. The continuous flow degradation system with packed column type is further developed to expanded its application for Fenton-like oxidation. Altogether, this work revealed the wettability effects on the Fenton chemstrity, manifesting a deeper understanding of ROS-based reaction behaviors on special wettability interface.

RuOx Quantum Dots Loaded on Graphdiyne for High-Performance Lithium-Sulfur Batteries.

Here, a strategy to strengthen d-p orbital hybridization by fabricating π backbonding in the catalyst for efficient lithium polysulfides (LiPSs) conversion is reported. A special interface structure of RuOx quantum dots (QDs) anchored on graphdiyne (GDY) nanoboxes (RuOx QDs/GDY) is prepared to enable strong Ru-to-alkyne π backdonation, which effectively regulates the d-electron structures of Ru centers to promote the d-p orbital hybridization between the catalyst and LiPSs and significantly boosts the catalytic performance of RuOx QDs/GDY. The strong affinity with Li ions and fast Li-ion diffusion of RuOx QDs/GDY also enable ultrastable Li metal anodes. Thus, S@RuOx QDs/GDY cathodes exhibit excellent cycling performance under harsh conditions, and Li@RuOx QDs/GDY anodes show an ultralong cycling life over 8800h without Li dendrite growth. Lithium-sulfur (Li-S) full cells with S@RuOx QDs/GDY cathodes and Li@RuOx QDs/GDY anodes can deliver an impressive areal capacity of 17.8mA h cm-2 and good cycling stability under the practical conditions of low negative-to-positive electrode capacity (N/P) ratio (N/P = 1.4), lean electrolyte (E/S = 3µL mg-1 ), and high S mass loading (15.4mgcm-2 ).

Phospholipids are imported into mitochondria by VDAC, a dimeric beta barrel scramblase

Mitochondria are double-membrane-bounded organelles that depend critically on phospholipids supplied by the endoplasmic reticulum. These lipids must cross the outer membrane to support mitochondrial function, but how they do this is unclear. We identify the Voltage Dependent Anion Channel (VDAC), an abundant outer membrane protein, as a scramblase-type lipid transporter that catalyzes lipid entry. On reconstitution into membrane vesicles, dimers of human VDAC1 and VDAC2 catalyze rapid transbilayer translocation of phospholipids by a mechanism that is unrelated to their channel activity. Coarse-grained molecular dynamics simulations of VDAC1 reveal that lipid scrambling occurs at a specific dimer interface where polar residues induce large water defects and bilayer thinning. The rate of phospholipid import into yeast mitochondria is an order of magnitude lower in the absence of VDAC homologs, indicating that VDACs provide the main pathway for lipid entry. Thus, VDAC isoforms, members of a superfamily of beta barrel proteins, moonlight as a class of phospholipid scramblases - distinct from alpha-helical scramblase proteins - that act to import lipids into mitochondria.

Constructing Multiphase-Induced Interfacial Polarization to Surpass Defect-Induced Polarization in Multielement Sulfide Absorbers.

The extremely weak heterointerface construction of high-entropy materials (HEM) hinders them being the electromagnetic wave (EMW) absorbers with ideal properties. To address this issue, this study proposes multiphase interfacial engineering and results in a multiphase-induced interfacial polarization loss in multielement sulfides. Through the selection of atoms with diverse reaction activities, the multiphase interfacial components of CuS (1 0 5), Fe0.5 Ni0.5 S2 (2 1 0), and CuFe2 S3 (2 0 0) are constructed to enhance the interfacial polarization loss in multielement Cu-based sulfides. Compared with single-phase high-entropy Zn-based sulfides (ZnFeCoNiCr-S), the multiphase Cu-based sulfides (CuFeCoNiCr-S) possess optimized EMW absorption properties (effective absorption bandwidth (EAB) of 6.70GHz at 2.00mm) due to the existence of specific interface of CuS (1 0 5)/CuFe2 S3 (2 0 0) with proper EM parameters. Furthermore, single-phase ZnFeCoNiCr-S into FeNi2 S4 (3 1 1)/(Zn, Fe)S (1 1 1) heterointerface through 400°C heat-treated is decomposed. The EMW absorption properties are enhanced by strong interfacial polarization (EAB of 4.83GHz at 1.45mm). This work reveals the reasons for the limited EMW absorption properties of high-entropy sulfides and proposes multiphase interface engineering to improve charge accumulation and polarization between specific interfaces, leading to the enhanced EMW absorption properties.

Mnemonic Rutile-Rutile Interfaces Triggering Spontaneous Dissociation of Water.

Water interaction with mineral surfaces is a complex living system decisive for any photocatalytic process. Resolving the atomistic structure of mineral-water interfaces is thus crucial for understanding these processes. Fibrous rutile TiO2 , grown hydrothermally on twinned rutile seeds under acidic conditions, is studied in terms of interface translation, atomic structure, and surface chemistry in the presence of water, by means of advanced microscopy and spectroscopy methods combined with structure modeling and density functional theory calculations. It is shown that fibers while staying in stable separation during their growth, adopt a special crystallographic registry that is controlled by repulsion forces between fully hydroxylated and protonated (110) surfaces. During relaxation, a turbulent proton transfer and cracking of O─H bonds is observed, generating a strong acidic character via proton jump from bridge ─OHb to terminal ─OHt groups, and spontaneous dissociation of interfacial water via a transient protonation of the ─OHt groups. It is shown, that this specific interface structure can be implemented to induce acidic response in an initially neutral medium when re-immersed. This is thought to be the first demonstration of quantum-confinedmineral-water interface, capable of memorizing its past and conveying its structurally encoded properties into a new environment.

Tailoring molecular recognition in predesigned multifunctional enzyme mimicking porphyrin imprinted interface for high affinity and differential selectivity; sensing etoposide in lung cancer patients

Nanozymes are cost-effective and robust but they lack specificity and selectivity, limiting their potential practical applications. Herein, molecularly imprinted polymers (MIPs) were grown in combination with multifunctional 5,10,15,20-tetrakis(4-hydroxyphenyl)-21H,23H-porphyrin (THPP) oxidase-like nanozyme to engineer THPP@MIP interface with high affinities and differential selectivity for structurally related target analytes. THPP nanozyme displayed a high level of predefined binding affinity for etoposide (ETO), and served as a predesigned functional monomer to rationally tailor the selectivity of THPP@MIP surface in the presence of different guest molecules. THPP nanozyme in combination with conventional monomers was imprinted on a portable and disposable cellulose paper matrix under UV light to create a UV-cured imprinted interface for optical detection of ETO. The THPP@MIP enzyme mimicking interface, having ETO specific and selective target recognition pockets, catalyzed the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to generate visible blue oxidized TMB (oxTMB) without exogenous hydrogen peroxide (H2O2). The ETO binding on the THPP@MIP surface blocked the channels for TMB access to THPP cavities. The THPP@MIP sensor permitted to detect ETO in the linear range of 0.005–10 μg mL−1, with a limit of detection (LoD) of 0.002 μg mL−1, and showed a remarkable specificity and selectivity against other drug molecules. Furthermore, the THPP@MIP sensor successfully differentiated the serum samples of lung cancer patients and healthy volunteers. The obtained results were validated with standard High performance liquid chromatography-mass spectrometry (HPLC/MS) analysis of the serum samples. Additionally, ETO injection/infusion solutions and ETO-free serum samples were used to perform the matrix effect and recovery studies. This work demonstrates that molecular imprinting with predesigned, enzyme mimicking, high-affinity functional monomer can serve as a highly selective and specific universal interface for broad spectrum sensing applications in various analytical domains.