Windows Operating Research Articles

Mass Transfer Limitation within Molecular Crowding Electrolyte Reorients Preferential (100) and (101) Texture for Dendrite-Free Zinc Metal Batteries

Aqueous zinc metal batteries have significant potential for use in portable devices and large-scale energy storage systems.1 Nevertheless, the growth of zinc dendrites and parasitic reactions worsen the stability of zinc metal electrodes.2 Therefore, strategies must be found to prevent zinc dendrites and other unfavorable reactions. In this study, we develop a macromolecular crowding electrolyte (MCE) by using polyvinylpyrrolidone (PVP) as a crowding agent. The strong hydrogen bonds between PVP and H2O molecules effectively suppress water activity, resulting in an enlarged electrochemical stability window and wide operating temperatures (−20 to 50 °C). Furthermore, the adsorption of PVP on the electrode surface enables progressive nucleation in the MCE, providing promising reversibility and long-term stability during the zinc plating/stripping process. More importantly, the deep insights into Zn deposition morphology and crystallinity illustrate the crystallographic reorientation into (100) and (101) facets, exhibiting vertical and uniform zinc deposition. Density functional theory calculations confirm that the preferential exposure of crystal facets is due to the adsorption of PVP molecules on the zinc metal surface. Furthermore, the electrochemical tests employing a rotating disc electrode and a three-electrode system demonstrate the notable mass transfer limitation in the MCE, which mainly contributes to the reoriented zinc deposition. The vertical arrangement of deposited zinc is more beneficial than parallel deposition to contact the ions outside the depletion region to overcome mass transfer limitation in the MCE. As a consequence, the preferential zinc deposition by exposing (100) and (101) facets enables Zn/Zn symmetric cells to cycle for over 3000 hours at different current densities. Additionally, Na0.33V2O5/Zn and MnO2/Zn full cell batteries in MCE exhibit favorable cycling stability and capacity across a wide temperature range from −20 to 50 °C. This work unveils a unique approach to reorienting the preferential crystallography of deposited zinc, providing a new direction to regulate and control the favorable orientation of zinc deposition.

A high-throughput method for monitoring growth of lettuce seedlings in greenhouses based on enhanced Mask2Former

Monitoring plant growth is crucial for cultivation management. Agronomists can assess the health status of lettuce seedlings based on monitoring results to implement relevant management measures for improving the quality and yield of lettuce seedlings. This study developed a non-destructive, high-throughput growth monitoring method suitable for large-scale assessment of lettuce seedling quality in nurseries. The method utilizes a plant high-throughput phenotyping platform to acquire 10-day time-series imagery data. An Mask2Former network model enhanced by multidimensional collaborative attention mechanism, combined with sliding window and morphological operations, achieves precise recognition and localization of seedling trays, varieties, and individual seedling plants in a progressive manner. Based on individual seedling localization and segmentation results, the method estimates emergence numbers and rates for each variety, and further achieves instance segmentation and counting of individual seedling leaves, innovatively constructing leaf segmentation results of different varieties across the entire seedling tray. Applied to time-series images, the method automatically monitored seedling emergence changes and growth trends for 1,086 lettuce varieties. In monitoring these varieties, the method achieved a coefficient of determination (R2) of 0.96 for emergence number estimation. The extraction of all six key phenotypic parameters demonstrated exceptionally high correlations: projected area, projected perimeter, convex hull area, and convex hull perimeter all showed R2 above 0.99, while leaf compactness R2 was 0.9698, and leaf count R2 was 0.91. Results demonstrate that this high-throughput, reliable method can effectively monitor the growth status of large-scale lettuce seedlings and provide technical support for lettuce nursery quality assessment.

Influence of Subjective Factors on Window Use in Maternity Hospitals in Spring

Poor indoor air quality in maternity hospitals can spread respiratory diseases; however, limited research exists on modifiable factors like occupant behavior. This study explores subjective drivers of window-opening in maternity wards, using surveys and on-site measurements. Results show 71.4% of respondents stay less than 14 days, leading to dynamic and irregular window behavior. Comfort, particularly thermal comfort, air quality, and circulation, is the main driver for window operations. Especially at low temperatures, pregnant women’s comfort plays a critical role, while other factors increase in importance as temperatures rise. The results show that environmental factors drive window-opening, while indoor comfort drives closing. Occupants are more tolerant to humidity than thermal discomfort, but window adjustments are random. Moreover, respondents prioritize others’ needs in closing windows, where outdoor noise often serves as a key factor. The time also had a greater impact on both window opening and closing decisions, while field measurements confirm that time influences window-opening more than closing. A Multivariate Analysis of Variance (MANOVA) analysis of the questionnaire data for ‘comfortable sensation’ showed that only ‘air circulation’ and ‘air humidity’ were correlated with comfort, whilst ‘heat sensation’ was the least correlated. The possible reason is that the questionnaire was conducted in the spring, when temperatures were within the comfort range, and therefore, occupants were more concerned with other factors. Window operations in maternity wards are a collective strategy for natural ventilation. This study shows that the factors affecting window use in maternity hospitals are different from other buildings, providing useful ideas for improving maternity ward design.

A Hybrid Method Based On A Genetic Algorithm That Uses Network Packets To Classify Spyware

The emergence of the Internet has led to the emergence of cyber-attacks and malware. Malware installed on mobile devices, including computers, phones, and tablets, can be used by attackers to access users' data. This study aims to use decision trees (DT) and genetic algorithms (GA) using a meta-heuristic approach to detect spyware, a category of malware, by analyzing network packets in a Windows operating system environment. When the literature is examined, it is noteworthy that there is a lack of studies on the detection of spyware using network packets. This situation was the driving force for this study. In order to carry out the study, an experimental environment was created by utilizing the laboratory facilities of Firat University, Faculty of Technology, Department of Forensic Informatics Engineering. In this experimental environment, various network packets were collected using different spyware applications. The data set was subjected to feature extraction using Tshark software. The effectiveness of meta-heuristics compared to the mathematical method of neighborhood component analysis (NCA) is demonstrated on the benchmark dataset. Therefore, a genetic algorithm (GA) was used to select the most weighted features among the extracted features. The selected features were classified with the decision tree (DT) algorithm. The results obtained are at the desired level for future studies.

Vibronic coherent quantum beat in four-layer platinum carbonyl cluster.

Vibronic coherence has been studied for years, but direct comparisons between the rich experimental features and theory remain rare. In this work, we investigate the vibronic coherent quantum beat of a four-layer platinum carbonyl cluster [Pt3(CO)6]42- in a solution utilizing femtosecond vis-pump/vis-probe transient absorption spectroscopy. By varying the excitational wavelength, quantum beats coupled to either the electronic ground state or the excited state are selectively prepared. A 41cm-1 beat at the ground state with a phase flip at 615nm and a 28cm-1 beat at the excited state with a phase node at 735nm are observed. The beat amplitudes are asymmetric, stronger on the red side for ground state beats but weaker for excited state beats. Quantum chemistry calculations suggest that these beats result from coupling between the [Pt3(CO)6] layer motions and the electronic excitation. Theoretical model calculations for quantum beats at both electronic states are performed following the doorway-window approach. The calculations explain the oscillation frequency difference, the node positions, and the asymmetry. The beats with different frequencies result from vibronic coupling with different electronic states with the Herzberg-Teller (ground) or Franck-Condon term (excited) involved. The theoretical nodes occur at absorption and fluorescence centers, respectively, although experimental results show a slight blueshift. Quantum window operator calculations link the beat amplitude asymmetry to the Franck-Condon factor matrix imbalances, with the number of nodes dependent on the electronic dephasing rate. The theoretical insights for quantum beats are expected to be general, potentially helpful for the interpretation of observations in other systems.

Extraction of isotropic and anisotropic components for optical surface micro-metrology based on the two-dimensional power spectral density analysis

Extraction of surface characteristics is essential during surface processing and optical inspections. In this work, we propose a new extraction method by dividing the global feature within multiple directions into isotropic and anisotropic components and combining noise filtration, two-dimensional component extraction, and fast reconstruction. The mathematical descriptions of global and local features were derived. The noise by holes, scratches, and finite sampling points was restrained by Bearing Ratio analysis, Hough transform, and Welch window operation. The isotropic and anisotropic surface components were extracted in the two-dimensional power spectral density domain, reconstructed in the two-dimensional Fourier domain, and inversed in Cartesian coordinates. Five surfaces with anisotropic structural characteristics ranging from zero to two dimensions were analyzed. The general applicability was proved according to the consistency between surface processing methods and extracted results. A chemical mechanical polishing experiment was designed and accomplished to verify the sensitivity of the extraction method. The subtle variation in surface morphology was captured on the reconstructed surfaces near the polishing end-point, confirming its detectability on weak anisotropic components. This process-oriented surface extraction method can achieve qualified results without transcendental knowledge of surface conditions and offers openness to various surface evaluation criteria by statistical roughness indicators, which supports surface inspection for multiple surface processing techniques.

Design Points of InGaAs MFMIS Tunnel FET for Large Memory Window and Stable Ferroelectric Memory Operation

Design Points of InGaAs MFMIS Tunnel FET for Large Memory Window and Stable Ferroelectric Memory Operation

WEB Application for Control Oxygen Regimes of the Body

Introduction. The muscular fitness of servicemen plays a significant role in the successful performance of military and professional tasks. Currently, 60 days are allotted for the training of a serviceman, so the task of optimizing this training is urgent. Typically, strength endurance can be effectively improved by combining strength, aerobic, and specific weight training. Therefore, the task of objective control of the training process is urgent. A number of sources emphasize the connection between the injuries of military personnel in the conditions of professional activity and aerobic productivity. That is why a model of regulation of the body's oxygen regimes was chosen for the purpose of training control. The need to process large amounts of information justifies the need to develop convenient applications for this. The purpose of the paper is to develop a web application for monitoring the training process of military personnel based on the model of managing the body's oxygen regimes. Methods. Mathematical modeling methods, programming methods. Results. The developed web application for modeling the oxygen regimes of the body allows for objective control of speed and strength training of military personnel. The web application is developed on the OpenXava platform, which provides the user with a more convenient service, is suitable not only for the Windows operating system, but also for Linux, Mac, UNIX, Android and does not require the installation of additional software. Keywords: mathematical model of regulation of oxygen regimes of the body, professional military activity, speed-power training of the military.

Pulse transmission time and amplitude of digital pulse wave determined by fingertip plethysmography as a surrogate marker of brachial artery flowmediated dilatation.

To assess the changes in blood vessel stiffness and digital pulse wave amplitude because of flowmediated dilatation, and to explore how these two variables change when endothelial dysfunction is experimentally induced. The experimental study was conducted at the departments of physiology at the College of Medicine, Mustansiriyah University, and the College of Medicine, Al-Iraqia University, Baghdad, Iraq, from October 14, 2021, to May 31, 2022, and comprised healthy young males who were subjected to the flow-mediated dilatation technique on the left brachial artery. Pulse transit time and the amplitude of the digital pulse wave were measured during reactive hyperaemia for 2.5 minutes from the left middle finger using a piezoelectric pressure sensor and a simultaneous Lead I electrocardiogram. Endothelial dysfunction (ED) was induced by oscillatory and retrograde shear rates. The correlation between variables was calculated in Excel running on the Windows operating system. There were 10 second-year medical students with mean age 22±0 years and mean body mass index 25.7±4.8kg/m2. During reactive hyperaemia, pulse transit time was significantly increased by 3-5% in both normal endothelium and experimentally induced endothelial dysfunction relative to the pre-occluded artery, and the difference was not significant (p>0.05). Digital pulse wave amplitude increased significantly in normal endothelium relative to the pre-occluded artery (p<0.05), but not in experimentally-induced endothelial dysfunction (p>0.05). The pulse transit time and digital pulse wave amplitudes of the photo plethysmography signal may be used to detect changes in vessel wall diameter and tone throughout the reactive hyperaemia process. Digital pulse wave amplitude was better able to detect experimentally-induced endothelial dysfunction, as assessed by the flowmediated dilatation protocol, than pulse transit time.

Coupled building simulation and CFD for real-time window and HVAC control in sports space

Accurately predicting players’ thermal comfort in large sports spaces for real-time window and HVAC operations presents significant challenges due to non-uniform thermal distributions. Standalone building energy simulation (BES) typically assumes the entire targeted space as a uniform thermal zone, which fails to capture these variances. Conversely, Computational Fluid Dynamics (CFD) simulation can predict indoor thermal environments with precision but often struggles with determining accurate boundary conditions. This study introduces a coupled BES and CFD simulation method tailored for real-time window and HVAC control in sports spaces. A case study was conducted in a prototypical national fitness hall to evaluate the effectiveness of the proposed method. The thermal comfort and cooling energy results from the co-simulation-based control were compared with those from standalone EnergyPlus simulation-based control and fixed-schedule window and HVAC operations, which served as baselines. The results indicate that the proposed method enhanced thermal comfort by 68.5 % compared to constantly-scheduled window operations and achieved daily energy savings of up to 43.5 % versus constantly-scheduled HVAC operations. Furthermore, significant discrepancies in Average Predicted Mean Vote (PMV‾) or Average Adaptive Predicted Mean Vote (aPMV‾) as well as daily cooling energy consumption between the BES-CFD co-simulation and standalone EnergyPlus simulation were identified, ranging from -0.53 to 1.83 for PMV‾ (aPMV‾) and -2444.6 to 1266.5 kWh for cooling energy. This study contributes novel methods for real-time window and HVAC control in sports buildings towards thermally comfortable and energy-efficient sports environments.

Constrictive pericarditis in a patient with fiberglass lung disease: a case report

BackgroundFiberglass has a larger aerodynamic diameter and is less likely to be inhaled into the lungs. Further, it will be cleared even if it is mechanically broken into smaller pieces and inhaled into the lungs. Fiberglass lung disease has been well documented if long term exposure but was thought reversible and would not cause severe diseases. The diagnosis of fiberglass lung disease depends on exposure history and histopathological findings. However, the exact occupational exposure history is often difficult to identify because mixed substance exposure often occurs and fiberglass disease is not as well-known as asbestosis.Case presentationA 66-year-old man had unexplained transudative pericardial effusion requiring pleural pericardial window operation twice at another medical center where asbestosis was told because of his self-reported long-term asbestosis exposure and the histopathological finding of a ferruginous body in his lung. Constrictive pericarditis developed two years later and resulted in congestive heart failure. Radical pericardiectomy combined with lung biopsy was performed following chest computed tomography imaging and the transudative nature of pericardial effusion not compatible with asbestosis. However, the histopathologic findings of his lung and pericardium at our hospital only showed chronic fibrosis without any asbestosis body. The patient’s lung was found to be extremely fragile during a lung biopsy; histopathologic specimens were reviewed, and various fragments of fiberglass were found in the lung and pericardium. The patient’s occupational exposure was carefully reevaluated, and he restated that he was only exposed to asbestosis for 1–2 years but was heavily exposed to fiberglass for more than 40 years. This misleading exposure history was mainly because he was only familiar with the dangers of asbestos. Since most fiberglass lung diseases are reversible and the symptoms of heart failure resolve soon after surgery, only observation was needed. Ten months after radical pericardiectomy, his symptoms, pleural effusion, and impaired pulmonary function eventually resolved.ConclusionFiberglass could cause inflammation of the pericardium, resulting in pericardial effusion and constrictive pericarditis, which could be severe and require radical pericardiectomy. Exact exposure history and histopathological examinations are the key to diagnosis.

Predictive modelling of multi-domain factors on window, door, and fan status in naturally ventilated school classrooms

Most studies regarding the investigation of occupant behaviour (OB) in school classrooms addressed the environmental influence on window operation solely and were conducted in oceanic climates. This study aimed to identify and quantify the influence of multi-domain factors (including thermal, indoor air quality, contextual and multi-behaviour domains) on window, door, and fan status in naturally ventilated school classrooms in a humid subtropical climate, in order to predict OB. Environmental variables, manual operation of windows, doors and fans, and occupancy rate were monitored and questionnaires were applied in a set of classrooms of three public school buildings in the state of São Paulo, Brazil, during four rounds at two-month intervals, resulting in a comprehensive year-long study. During part of the physical monitoring, restrictive occupancy measures due to the COVID-19 pandemic were observed. Generalized Linear Mixed Models were applied to assess the influence of the recorded parameters on the window, door, and fan status and to generate OB predictive models. Results showed that indoor environmental variables influenced window, door, and fan status in school classrooms, with few exceptions. Yet, the models including school routines, social norms and teachers’ behaviour as predictors led to the highest accuracy. This suggests that, while a more complex model with additional predictors can provide more accurate predictions of OB, it also becomes more context-dependent and less generalizable. The trade-off between model complexity and generalizability is an important consideration in this research study, and it highlights the nuanced relationship between multi-domain factors affecting occupant behaviour in school buildings.

Windows: socio-environmental dimensions in Palestinian residential buildings

People spend a significant portion of their lives indoors. Nowadays, windows are the essential architectural element that allows users to have contact with the outside world. This contact has an important impact on our physiology, psychology, well-being, and indoor environment. Understanding the physical and behavioral (social) characteristics of this element in the Palestinian residential building is still insufficiently explored. A cross-sectional survey of 272 respondents was conducted to investigate the openings’ characteristics and user’s behavior to assess their influence on residents’ satisfaction and indoor performance. This assessment was based on the concept that residents’ satisfaction with their homes is a measure of buildings’ performance in meeting users’ needs, expectations, and aspirations. The findings show that the physical properties (i.e. Window wall ratio, Window floor ratio, position, orientation, etc.) of windows do not meet the minimum threshold of sustainable and energy-efficient values (i.e. Daylight, thermal comfort). In addition, the survey analysis determines the driving parameters and their corresponding variations influencing window operations in different periods of the day and season. The culture plays a central role in the Palestinians’ window operation behavior.

COVID-19 Nursing Staff Sizing Technology.

This study shows the development of a software for calculating the number of nursing team members required for providing care during the coronavirus disease 2019 pandemic. Study about the development of a technology based on the literature about data and indicators. The indicators were systematized in the following dimensions: institutional, professional, and occupational structure, all with a focus on coronavirus disease 2019. The software was created to be used on the Web, client-server, in browsers such as Internet Chrome, Explorer, and/or Mozilla Firefox, accessing via an Internet address and also allowing access by Windows, Android, and Linux operating systems, with MySQL database used for data storage. The data and indicators related to the institutional structure for coronavirus disease 2019 were systematized with 10 dimensions and indicators, and the professional and occupational structure, with 14 dimensions and indicators. The construction of computer requirements followed the precepts of software engineering, with theoretical support from the area. In the evaluation of the software, data simulation revealed points that had to be adjusted to ensure security, data confidentiality, and easy handling. The software provides to calculate the size and quality of the team, nursing sizing required due to the needs generated by the coronavirus disease 2019 pandemic.

PICKAPEP: An application for parameter calculation and visualization of cyclized and modified peptidomimetics.

The interest in peptides and especially in peptidomimetic structures has risen enormously in the past few years. Novel modification strategies including nonnatural amino acids, sophisticated cyclization strategies, and side chain modifications to improve the pharmacokinetic properties of peptides are continuously arising. However, a calculator tool accompanying the current development in peptide sciences towards modified peptides is missing. Herein, we present the application PICKAPEP, enabling the virtual construction and visualization of peptidomimetics ranging from well-known cyclized and modified peptides such as ciclosporin A up to fully self-designed peptide-based structures with custom amino acids. Calculated parameters include the molecular weight, the water-octanol partition coefficient, the topological polar surface area, the number of rotatable bonds, and the peptide SMILES code. To our knowledge, PICKAPEP is the first tool allowing users to add custom amino acids as building blocks and also the only tool giving the possibility to process large peptide libraries and calculate parameters for multiple peptides at once. We believe that PICKAPEP will support peptide researchers in their work and will find wide application in current as well as future peptide drug development processes. PICKAPEP is available open source for Windows and Mac operating systems (https://www.research-collection.ethz.ch/handle/20.500.11850/681174).

Разработка кроссплатформенного приложения для управления робототехническим комплексом

A brief analysis of the approaches currently used to develop management programs is provided, their application features, advantages and disadvantages are identified. For the study, the development of a cross-platform appli-cation of control systems for robotic complexes (RTC) was chosen, using the example of RTC with MP-11 robotic manipulators. The structure of the control system includes a controller on the Arduino Mega 2560 Pro Mini board with a loaded low-level program and an upper-level program. The development is carried out on the platform.NET MAUI, which allows you to create an application for Windows, Android, and IOS operating systems on a single code base, i.e. the same code is automatically compiled for all operating systems, taking into account their features and applied elements. The control computer is connected via USB, mobile devices via Bluetooth, while data is programmatically transmitted via a serial port. The description of the modes of operation of the developed application, its functioning algorithms, indicating the features of execution for this type of programs and the appearance of forms with elements located on them is given. The program provides manual and automatic modes of operation, as well as control of not only the RTC, but also its model. The key features of this application are the use of a single code base and design for the implementation of desktop and mobile applications for various operating systems without using network resources, unlike web applications.

Peningkatan Kompatibilitas Sistem Operasi Windows di Berbagai Perangkat

The goal of improving the compatibility of the Windows operating system with various devices is to ensure that Windows runs well on desktops, laptops, tablets, and mobile devices. Technical developments such as system modularization, performance optimization, and better driver integration are part of this effort. To expand the range of devices, Microsoft supports ARM architecture in addition to x86 architecture. Additionally, support for IoT technology, biometric sensors and touch screens has been improved. Maintaining a consistent user experience and expanding the ecosystem of Windows-compatible devices is the goal of this effort.

Strategi Pengembangan Sistem Keamanan Terpadu untuk Melindungi Sistem Operasi Windows dari Ancaman Cyber

The Windows operating system has become one of the main targets for cyber attackers because of its popularity among computer users. Therefore, developing an effective integrated security system is essential to protect the Windows operating system from various cyber threats. This journal discusses integrated security system development strategies that include the use of encryption technology, firewalls, malware scanning, system updates, and user awareness. Apart from that, this journal also discusses the implementation of an integrated security strategy to protect the Windows operating system from increasingly complex cyber attacks. The goal of this journal is to provide strategic guidance for IT security professionals and researchers in developing an effective integrated security system to protect the Windows operating system from ever-evolving cyber threats.

Rekacipta Antarmuka Pengguna Intuitif dan Ramah Pengguna untuk Sistem Operasi Windows: Pendekatan Berbasis Pengalaman Pengguna (Ux)

The rapid development of digital technology has led to the importance of intuitive and user-friendly operating systems. Windows, as one of the most widely used operating systems in the world, therefore we continue to strive to present a user interface (UI) that is not only functional but also easy to use. This journal discusses the project "Recreating Intuitive and User-Friendly User Interface for Windows Operating System: A User Experience (UX) Driven Approach" which aims to improve the Windows user experience through better UI design. The main objective of this project is to explore and implement design principles that can improve the overall user experience. With a user experience (UX) based approach, this project identifies weaknesses in the current Windows interface, seeks innovative solutions, and tests their effectiveness through comprehensive user research. In this research, we produced several new features that were introduced including grouping, app drawer, and widgets, all of which are intended to ease navigation and improve efficiency of use.

Optimalisasi Keamanan Data Pada Sistem Operasi Windows Melalui Penerapan Teknologi Kriptografi Modern

Data security is an important aspect of information systems, especially in the widely used windows operating system environment. Modern encryption technology offers a variety of ways to increase data protection from security threats. This method utilizes literature insights and comparative analysis of various cryptographic techniques applied to the Windows operating system. Data sources were obtained from academic journals, books and technical documents from Microsoft and cyber security institutions. This article describes various modern cryptographic techniques that can be applied to the Windows operating system, including symmetric and asymmetric algorithms and end-to-end encryption. Protocol implementation security. This research also examines the effectiveness of cryptographic techniques in overcoming cyber security threats and provides the best recommendations for improving data security. It also provides a comparative analysis of various cryptographic techniques implemented in Windows operating systems. This study shows that evaluating encryption techniques can help overcome cyber threats and provide optimal solutions to improve data security. Data sources were obtained from academic journals, books, and technical documents from Microsoft and cyber security.