Local File Research Articles

Web-Based DICOM Viewers: A Survey and a Performance Classification.

The standard for managing image data in healthcare is the DICOM (Digital Imaging and Communications in Medicine) protocol. DICOM web-viewers provide flexible and accessible platforms for their users to view and analyze DICOM images remotely. This article presents a comprehensive evaluation of various web-based DICOM viewers, emphasizing their performance in different rendering scenarios, browsers, and operating systems. The study includes a total of 16 web-based viewers, of which 12 were surveyed, and 7 were compared performance-wise based on the availability of an online demo. The criteria for examination include accessibility features, such as available information or requirements for usage, interface features, such as loading capabilities or cloud storage, two-dimensional (2D) viewing features, such as the ability to perform measurements or alter the viewing window, and three-dimensional (3D) viewing features, such as volume rendering or secondary reconstruction. Only 4 of the viewers allow for the viewing of local DICOM files in 3D (other than MPR(Multiplanar reconstruction)). Premium software offers a large amount of features with overall good performance. One of the free alternatives demonstrated the best efficiency in both 2D and 3D rendering but faces challenges with missing 3D rendering features in its interface, which is still in development. Other free options exhibited slower performance, especially in 2D rendering but have more ready-to-use features on their web app. The evaluation also underscores the importance of browser choice, with some browsers performing much better than the competition, and highlights the significance of hardware when dealing with rendering tasks.

Design of software system architecture for reading and publishing amateur literary works

The article discusses the functionality and key requirements for a web application for reading and publishing amateur literary works. Against the backdrop of current changes in the book industry caused by the development of technology and the emergence of self-publishing, the need to create platforms that provide authors with the opportunity to publish content independently is emphasized. One of the main problems that authors face when publishing is the loss of the original formatting of their works when transferring them to text editors on web platforms. This paper proposes a solution to this problem by developing a web application with the function of importing the content of text files while preserving their original formatting. The article also contains a comparative analysis of popular web-based platforms for publishing works, such as Archive of Our Own, Wattpad, and Arkush, which helped to highlight the advantages and disadvantages of each of them. In particular, the difficulties associated with storing and processing unstructured data, such as images and text files, were investigated. To solve the problem of storing such data, a comparative analysis of three approaches was conducted: storing data in relational databases, local file systems, and cloud storage. Taking into account the results of this analysis, the web application under development was chosen to integrate with the Amazon Web Services cloud provider and use Amazon S3 cloud storage, which provides scalability, reliability, and convenience in managing large amounts of unstructured data. It was also decided to use the Amazon CloudFront CDN service to improve the speed of data access and increase overall system performance. In addition, the article describes the choice of a technology stack for implementing the web application, which includes Java, Spring Framework, MySQL, ORM Hibernate for the server side and HTML, CSS, React.js for the client side. The article highlights important aspects of designing a web application architecture aimed at scalability and resilience to large amounts of data and an increase in the number of active users, and provides a basis for further system improvement.

Increasing age and lethal opiate use.

Opioid abuse is a leading cause of drug-related morbidity and mortality worldwide. It has been suggested that the age of opiate users in Australia is rising. To evaluate this further in a local population, toxicology and pathology case files from Forensic Science SA, Adelaide, South Australia, were examined for all cases with lethal opioid levels from 2000 to 2019 (n = 499; M:F 2.3:1; age range 18-91 years, median age 42 years). The median age of opiate deaths increased significantly by approximately 16 years (p = 0.007, R2 = 0.34) with a significant increase in total deaths in the 45-54 years and 55-64 years age groups (p = 0.009, R2 = 0.32) (p = < 0.001, R2 = 0.54). Deaths due to heroin overdose showed the lowest median age (39 years, n = 184), with deaths from tramadol toxicity having the highest (50.5 years, n = 32). Recent changes in the demographic profile of opioid users in cases of lethal overdose involve an aging population. Forensic and clinical practitioners should be aware of significant opioid abuse in certain individuals at older ages as this raises the possibility that this may exacerbate the effects of age-related chronic diseases in this group and/or contribute to fatalities.

SolsDB: Solve the Ethereum’s bottleneck caused by storage engine

Ethereum’s block synchronization process interacts with the storage engine in two parts: waiting for state data to be read while processing transactions and waiting to write data after processing is complete. Presently, Ethereum utilizes the LSM-tree-based storage engine that not only falls short of meeting Ethereum’s read performance requirements but also presents additional mismatches. In this paper, we propose the single-level ordered log structure database (SolsDB), which fully utilizes state data features to satisfy the workload requirements of Ethereum block synchronization process and suggest novel interactions to deliver state data features to the storage engine. The write feature of state data is utilized to store state data in blocks and the file is globally ordered, which avoids write amplification caused by compaction. By delivering the read feature, the Parser module is crafted to parse the query key, enabling direct file location without the need for level-by-level querying, thus addressing the issue of read amplification. Extensive experiments are conducted to validate the performance of SolsDB. Compared with LevelDB, SolsDB improves read performance by up to 4.7x, reduces read tail latency by 68.7% to 83.3%, and reduces the write amplification factor by 49.1% to 76.1%.

KNeXT: a NetworkX-based topologically relevant KEGG parser.

Automating the recreation of gene and mixed gene-compound networks from Kyoto Encyclopedia of Genes and Genomes (KEGG) Markup Language (KGML) files is challenging because the data structure does not preserve the independent or loosely connected neighborhoods in which they were originally derived, referred to here as its topological environment. Identical accession numbers may overlap, causing neighborhoods to artificially collapse based on duplicated identifiers. This causes current parsers to create misleading or erroneous graphical representations when mixed gene networks are converted to gene-only networks. To overcome these challenges we created a python-based KEGG NetworkX Topological (KNeXT) parser that allows users to accurately recapitulate genetic networks and mixed networks from KGML map data. The software, archived as a python package index (PyPI) file to ensure broad application, is designed to ingest KGML files through built-in APIs and dynamically create high-fidelity topological representations. The utilization of NetworkX's framework to generate tab-separated files additionally ensures that KNeXT results may be imported into other graph frameworks and maintain programmatic access to the original x-y axis positions to each node in the KEGG pathway. KNeXT is a well-described Python 3 package that allows users to rapidly download and aggregate specific KGML files and recreate KEGG pathways based on a range of user-defined settings. KNeXT is platform-independent, distinctive, and it is not written on top of other Python parsers. Furthermore, KNeXT enables users to parse entire local folders or single files through command line scripts and convert the output into NCBI or UniProt IDs. KNeXT provides an ability for researchers to generate pathway visualizations while persevering the original context of a KEGG pathway. Source code is freely available at https://github.com/everest-castaneda/knext.

CMD + V for chemistry: Image to chemical structure conversion directly done in the clipboard

AbstractWe present Clipboard‐to‐SMILES Converter (C2SC), a macOS application that directly converts molecular structures from the clipboard. The app focuses on seamlessly converting screenshots of molecules into a desired molecular representation. It supports a wide range of molecular representations, such as SMILES, SELFIES, InChI's, IUPAC names, RDKit Mol's, and CAS numbers, allowing effortless conversion between these formats within the clipboard. C2SC automatically saves converted molecules to a local history file and displays the last 10 entries for quick access. Additionally, it incorporates several SMILES operations, including canonicalization, augmentation, as well price‐searching molecules on chemical vendors for the cost‐effective purchasing option. Beyond the one‐click conversion from clipboard to molecular structures, the app offers continuous monitoring of the clipboard which automatically converts any supported representations or images detected into SMILES. The convenient interface, directly in the status bar, as well as availability as macOS application, makes C2SC useful for a broad community not requiring any programming expertise. Most conversions are performed locally, notably the image‐to‐SMILES conversion, with internet access only necessary for specific tasks like price lookups. In summary, C2SC provides a user‐friendly and efficient solution for converting molecular structures directly from the clipboard, offering seamless conversions between comprehensive chemical representations and can be directly downloaded from https://github.com/O-Schilter/Clipboard-to-SMILES-Converter.

3D Convolutional Neural Network-Based Multi-Parameter Video Quality Assessment Model on Cloud Platforms

In light of the rapid advancements in big data and artificial intelligence technologies, the trend of uploading local files to cloud servers to mitigate local storage limitations is growing. However, the surge of duplicate files, especially images and videos, results in significant network bandwidth wastage and complicates server management. To tackle these issues, we have developed a multi-parameter video quality assessment model utilizing a 3D convolutional neural network within a video deduplication framework. Our method, inspired by the analytic hierarchy process, thoroughly evaluates the effects of packet loss rate, codec, frame rate, bit rate, and resolution on video quality. The model employs a two-stream 3D convolutional neural network to integrate spatial and temporal streams for capturing video distortion details, with a coding layer configured to remove redundant distortion information. We validated our approach using the LIVE and CSIQ datasets, comparing its performance against the V-BLIINDS and VIDEO schemes across different packet loss rates. Furthermore, we simulated the client-server interaction using a subset of the dataset and assessed the scheme's time efficiency. Our results indicate that the proposed scheme offers a highly efficient solution for video quality assessment.

Access control and data sharing mechanism in decentralized cloud using blockchain technology

&lt;p class="abstract"&gt;Access control is the most vital aspect of cloud data storage security. Traditional techniques for data distribution as well as access control face noteworthy challenges in the arena of research as a result of extensive abuse and privacy data breaches. The blockchain concept provides security by verifying users by multiple encryption technologies. Collaboration in the cloud improves management but compromises privacy. Consequently, we created an efficient access management and data exchange system for a blockchain-based decentralized cloud. On the basis of an ID and password, the data user (DU) submits a registering request to the data owner (DO). The DO data is incorporated into a transactional blockchain by an encoded master key. The data owner (DO) provides data encryption, and encrypted files are still published to the Interplanetary File System (IPFS). The DO generates ciphertext metadata, which is then published to the transactional blockchain utilizing a secure file location and a secure key. The projected access control and data sharing solution performed better in a decentralized blockchain based cloud, as measured by metrics such as a reduced illegitimate user rate of 5%, and a size blockchain of is 100 and 200, respectively.&lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;

Enhancing data integrity and resilience: Extending the CERN backup system with a tape-based backend

The CERN IT Department is responsible for ensuring the integrity and security of data stored in the IT Storage Services. General storage backends such as EOS, CERNBox and CephFS are used to store data for a wide range of use cases for all stakeholders at CERN, including experiment project spaces and user home directories. In recent years a backup system, cback, was developed based on the open source backup program restic. cback is currently used to backup about 2.5 billion files and 18PB stored on disks in the CERN Computing Center. To significantly increase the reliability and security of the backups and reduce the storage costs, by limiting the amount of data on disk, we have added a tape storage backend to cback. With this addition cback can reliably be extended to new use cases, like backing up any local mountable file system, such as EOS, CephFS, NFS or DFS. In this paper we will describe the architecture and implementation of cback with the new tape storage backend and a number of developments planned for the near future.

Impact of Angle of File Access and Location of Canal Curvature on the Dynamic Cyclic Fatigue of Nickel Titanium Rotary Instruments.

To evaluate the impact of different file access angles and root canal curvature's location on the fatigue failure of One Curve (OC) and E3 Azure (EZ) NiTi files using a dynamic model at simulated body temperature. Eighty new instruments with similar tip sizes and taper (#25/0.06) from two NiTi rotary systems, One Curve and E3 Azure, were tested at simulated body temperatures (37°C) using a custom-made dynamic cyclic fatigue device. Instruments were divided into four subgroups according to the location of root canal curvature (a coronal curve 5 mm from the root canal orifice and an apical curve 10 mm from the root canal orifice) and the angle of file access (0° or 30°). Instruments were operated in simulated stainless-steel canals having a 60° curve and a 3 mm radius. A custom-made device produced controlled vertical pecks during file rotation. Time to failure (sec) was registered, and the length of the fragment segments was measured (mm). Data were analysed statistically with One-Way ANOVA and Tukey post hoc tests. The significance level was set at 5%. All separated instruments were examined by scanning electron microscope. One-way ANOVA (p<0.05) found a significant difference among the tested instruments. Post Hoc analysis revealed lower cyclic fatigue resistance when the angle of file access was 30º, and the root canal curvature was located coronally for both files (p<0.0001). Three-way ANOVA showed that the angle of file access was the most influential contributor to cyclic fatigue, followed by the location of file curvature and, finally, the file type (p<0.0001). The fractographic examination revealed a predominantly ductile fracture mode for all tested instruments. The lengths of all fractured segments showed no significant difference (p>0.05), indicating an accurate trajectory during testing. OC files had superior cyclic fatigue resistance than EZ files; coronal curvatures negatively impacted cyclic fatigue resistance compared to apical curvatures, while the angle of file access presented the highest impact on dynamic cyclic fatigue.

Blockchain-Based Secure Distributed File Storage for Community Cloud Computing

Cloud storage is the most used option for storing and sharing files. However, cloud storage has issues like lack of transparency, privacy, security, and trust. On the other hand, local file storage is always faster and more secure than public cloud storage. Besides, a community cloud is more economical and scalable than private storage. However, due to the ad-hoc nature of community users, developing such a community cloud storage has always been a challenge due to data privacy, security, and availability concerns. Recent developments in blockchain technology and computer security are promising to resolve most of these challenges. Thus, in this research, we are presenting blockchain-based, distributed file storage for community cloud computing. This research, which focuses on local communities, allows them to securely share the excessive storage with the locals to earn something while gaining access to faster, more reliable large-scale local storage. By replacing the central authority of third-party storage vendors and migrating to distributed file storage, local communities will achieve greater security, reliability, and control over their data while reducing the risks of data failures and interruptions. Due to symmetric encryption, data privacy would be 100% assured even though they are stored in other peoples' computers. Moreover, this system uses Reed Solomon. Using the Reed Solomon algorithm, the system can retrieve files even when users holding 33.33% of the files are not present. Besides, it allows local communities to make effective use of their idle and unallocated computer resources transparently.

ALGORITHMIC AND SOFTWARE TOOLS FOR AUTOMATIC INSTALLATION AND STARTING OF UTILITIES IN THE WINDOWS ENVIRONMENT

In today's world, the automation of installation and management processes of software in the Windows environment is a key element in ensuring user convenience and efficiency. Within this direction, a specialized program has been developed aimed at significantly simplifying the processes of installation and management of utilities. The program is equipped with an intuitive user interface that facilitates seamless integration with the operating system and provides users with easy access to the necessary tools. The architecture of the program is constructed using modular models and flexible data providers that ensure dynamic installation and updating of utilities. The core models define the data structure and the logic of interaction with the user interface and other system components, while the data providers are adapted to read, update, and distribute information from various sources, including local files, servers, and remote systems. The implementation of the program involved a detailed analysis of existing utility management methods, with attention to identified shortcomings and limitations. In view of this, requirements for the program's functionality were formulated that would ensure increased productivity and reduce potential errors and disappointments during the installation and configuration of utilities. Thorough testing and user surveys helped assess the program from the perspectives of ease of use, functionality, and overall satisfaction. The findings of the study revealed a high level of program ef- fectiveness, confirming its ability to achieve set goals and positively influence the user experience with utilities. Index Terms: Windows, service, software, work optimization, performance.

Clinical Characteristics, Treatment Approach and Long-Term Outcomes of 678 Patients with Symptomatic Waldenstrom's Macroglobulinemia: Comprehensive Insights from a Spanish Registry of IgM Gammapathies

Introduction The pathogenesis of Waldenstrom's macroglobulinemia (WM) involves the clonal expansion of lymphoplasmacytic B cells in bone marrow, producing monoclonal immunoglobulin M (IgM). The heterogeneity of clinical manifestations in this uncommon disease represents the treatment approach more challenging. Multicenter registries may help in improving health care and scientific research. PRAME is a Spanish national registry of WM and IgM-related disorders with comprehensive data collection, providing insights for a better understanding of WM. Methods This is a retrospective, multicenter study that included newly diagnosed symptomatic WM (SWM) patients, evaluated at (24) Spanish hospitals between 1990 and 2023. All patients had confirmed diagnoses of SWM according to the International Workshop Consensus. Data collection on patients' demographics and disease epidemiology, clinical characteristics, diagnosis, treatment approaches and outcomes were performed from patients' local medical files. Results From 1796 total patients included in the Spanish registry for IgM gammopathies, a total of 678 newly SWM patients were identified. The median age was 71(range 35-94) years, 37% of patients had aged ≥ 75 years and 63% were male. The most common symptom at diagnosis was anemia (43%), followed by B symptoms (30%). Fifteen percent had peripheral neuropathy (PN) as the first WM symptom (39% with sensitive motor PN). Hyperviscosity was only observed in 15%. The free light chain isotypes were mostly kappa (75.4%). Less than 5% of the total cohort, had an ECOG ≥3, at diagnosis. Among 403 patients, who had samples available for assessing MYD88L265P by quantitative allele-specific PCR, 75% were positive for the mutation. However, out of the 199 patients assessed for CXCR4(S388X) mutation, only 12% were positive. The first line of therapy was started in 98% of patients. Plasmapheresis was indicated in 10%, with a median number of 2 sessions. The most frequent indications for initiating the treatment were anemia (48%), B symptoms (13%), and neuropathy (9%). Symptoms related to IgM monoclonal and extramedullary involvement were seen in 15% (56% associated with hyperviscosity) and 11.3%, respectively. The main first-line treatment regimens received were: chlorambucil (37%), dexamethasone, rituximab and cyclophosphamide (DRC)(21%), rituximab monotherapy (13%), bendamustine/rituximab (BR) (9.1%), Bruton tyrosine kinase (BTK) inhibitors (7%), and bortezomib, dexamethasone and rituximab (BDR) (5.5%). The overall and major response rates (ORR and MRR) were 67% and 58%, respectively. (Table 1). The MRR was higher among patients who received BR as the first line of therapy (88%), with a 26% of complete response (CR) and 21% of very good partial responses (VGPR). The CR+VGPR rates with other common regimens were 17% for DRC, 9% for BDR and 21% for BTK inhibitors, respectively. With a median follow-up of 96 months (IQR, 43 to 192), the median overall survival (OS) was 8.7 years (95% confidence interval [CI]:7.3-10.1) and the median progression-free survival (PFS) was 6.8 years (95% CI:6.2-7.5) with no relevant improvement over the last years. (Figure 1) Conclusion In the current registry, we observed a high proportion of younger patients with good performance status at diagnosis. Among newly diagnosed SWM patients, BR demonstrated ongoing superiority as a front line of therapy, leading to deeper responses compared to other therapeutic schemes. There were no significant differences in OS between different times of diagnosis. This Spanish registry for SWM contributes to advancing knowledge and the continual enhancement of treatment strategies for WM.

Prevalence and detection rate of major congenital heart disease in twin pregnancies in Denmark.

To investigate the national prevalence and prenatal detection rate (DR) of major congenital heart disease (mCHD) in twin pregnancies without twin-to-twin transfusion syndrome (TTTS)-associated CHD in a Danish population following a standardized prenatal screening program. This was a national registry-based study of data collected prospectively over a 10-year period. In Denmark, all women with a twin pregnancy are offered standardized screening and surveillance programs in addition to first- and second-trimester screening for aneuploidies and malformation, respectively: monochorionic (MC) twins every 2 weeks from gestational week 15 and dichorionic (DC) twins every 4 weeks from week 18. The data were retrieved from the Danish Fetal Medicine Database and included all twin pregnancies from 2009-2018, in which at least one fetus had a pre- and/or postnatal mCHD diagnosis. mCHD was defined as CHD requiring surgery within the first year of life, excluding ventricular septal defects. All pregnancy data were pre- and postnatally validated in the local patient files at the four tertiary centers covering the entire country. A total of 60 cases from 59 twin pregnancies were included. The prevalence of mCHD was 4.6 (95% CI, 3.5-6.0) per 1000 twin pregnancies (1.9 (95% CI, 1.3-2.5) per 1000 live births). The prevalences for DC and MC were 3.6 (95%CI, 2.6-5.0) and 9.2 (95%CI, 5.8-13.7) per 1000 twin pregnancies, respectively. The national prenatal DR of mCHD in twin pregnancies for the entire period was 68.3%. The highest DRs were in cases with univentricular hearts (100%) and the lowest with aortopulmonary window, total anomalous pulmonary venous return, Ebstein's anomaly, aortic valve stenosis and coarctation of the aorta (0-25%). Mothers of children with prenatally undetected mCHD had a significantly higher body mass index (BMI) compared to mothers of children with a prenatally detected mCHD (median, 27 kg/m2 and 23 kg/m2 , respectively; P = 0.02). The prevalence of mCHD in twins was 4.6 per 1000 pregnancies and was higher in MC than DC pregnancies. The prenatal DR of mCHD in twin pregnancies was 68.3%. Maternal BMI was higher in cases of prenatally undetected mCHD. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Major Transfer Pricing Documentation Guidance Issued by United Kingdom

Extensive transfer pricing documentation guidance has been released by the UK tax authority, clarifying many matters hitherto unspecified by them. These include (i) the introduction of a materiality threshold for documentation; (ii) guidance on the extent to which aggregation of transactions is acceptable; and (iii) the obligation to update data on comparables every year. Although submitting a Master file and Local File is only compulsory for the largest groups, the guidance states a strong expectation that all taxpayers should use this format in the future.

Application of BIM technology in the reinforcement and renovation of existing building inspection projects

PurposeDue to the characteristics of visualization, simulation, information integrity, and flexibility, Building Information Modeling (BIM) technology would be widely applied in every stage of construction projects. MethodThe existing building structure inspection methods used in this article included safety inspection of existing buildings, applicability inspection of existing buildings, and durability inspection of existing buildings. In visual collaborative design, a project information data model was established based on BIM, and the real-time information dynamics of the building information model were mastered through the sharing and updating of local files. The “reinforcement family” established in this article was mainly composed of beams, columns, walls, etc. In order to achieve widespread applicability of reinforcement families, it was necessary to select family templates based on lines or faces that were not limited by the host when creating reinforcement families. ResultThe implementation plan of the building renovation in this article had an annual power consumption of 1260476.5KW·h. ConclusionWhile reducing costs and risks, BIM technology brought higher efficiency, higher quality, and more sustainable development opportunities to the construction industry.

A DYNAMIC CONTENT MANAGEMENT SYSTEM FOR THE VISUALIZATION OF CULTURAL INFORMATION; THE CASE OF THE STATE CONSERVATORY OF THESSALONIKI, GR

Abstract. Although there are several attempts of embedding static content in events’ brochures and posters, the increasing need for flexibility and versatility of the content, leads to the development of a mobile application with an in-app dynamic content management system. In this context, DigiOrch is an ongoing research program where, a Content Management System is developed to organize all the digital material and maintain the appropriate connection to the analogical markers. Furthermore, a mobile application is developed that lev-erages this system using in app dynamic modules, which, by utilizing the augmented reality technology, presents multimedia data such as texts, photos, videos, and 3D Models to the end-user by “superimposing” them on mobile devices screen, providing extra additional information on any valid smart-leaflet.The overall workflow of the in-app Dynamic Content Management System (DCMS) can be described as a group of modules that managing and copying content files from a remote infrastructure such as an ftp server or a local resource if network is missing, to the mobile device’s file system.The in-app DCMS consists of 4 modules: The first module is the parser, which is responsible for reading a downloaded *.json file and creating content-linked objects. The second module is the download module which is responsible for downloading the overall content by iterating the content-linked objects, created by the previous module. The third module le is the update module that, by iterating the initial content file and the local file system, suggests whether a content update is necessary. The fourth module is the loading module, which is responsible for fetching the content on runtime to fill the content-holding components, such as 3D Models and UI photo galleries, of the AR scenes on runtime.

Model Based Systems Engineering with a Docs-as-Code Approach for the SeaLion CubeSat Project

The SeaLion mission architecture team sought to create a model-based systems engineering approach to assist improving CubeSat success rates as well as for the SeaLion CubeSat project to guide an implementation for the flight software. This is important because university CubeSat teams are growing in number but often have untrained students as their core personnel. This was done using a document-as-code, or docs-as-code, approach. With this the team created tools for the systems architecture with the Mach 30 Modeling Language to create an architecture that is easy to learn and use even for newly admitted team members with little to no training. These tools generate documents via its own code for easy presentation on a local file system without any proprietary software while keeping the model content format-agnostic.

Application of MPP database and artificial intelligence system in online evaluation of college students' mental health

Based on MPP database, we have conducted research and investigation on big data processing and analysis, and provided a good solution for big data. However, due to the large data storage requirements in the local file system may not be fully met. Therefore, the storage and management of big data, reliability, availability and scalability are more and more adopted by distributed file system. Therefore, MPP database based on distributed file system has become a research hotspot. In this paper, in the network control, through the control algorithm based on two kinds of artificial intelligence system, through the fuzzy PID controller to reduce the impact of system control performance. The dynamic BP network error correction and predictive PID controller are introduced into the system to reduce the influence. College Students' mental health education is an important part of the current training. Rapid and accurate online evaluation and analysis of College Students' mental health can provide reference for college students and effective help for the follow-up activities and consultation of the school, At the same time, it provides some basis for the balance of psychological scale and the revision of item setting. In this paper, MPP database and artificial intelligence system are introduced into the application of mental health assessment, which can effectively assess the mental health of college students, and thus promote the continuous development of assessment application.

AN ENHANCED SOFTWARE AS A SERVICE (SAAS) ARCHITECTURAL MODEL FOR CLOUD BASED SECURITY USING HYBRID SYMMETRIC ALGORITHM

Protecting cloud data from security breaches, preventing and ensuring safe cloud data is concealed from unauthorized access or infiltration by unwanted users are all part of cloud infrastructure security. This proposed technique is based on ensuring data confidentiality by adding extra-layer of security from the client side, developing a framework that implements the AES 256-bit key and Fernet 128-bits algorithms, which encrypt and decrypt files via random algorithm selection during uploads and downloads. When a file is uploaded to the cloud, the decryption key is recorded in the local server's file log. The software use randomized algorithm selection to provide security to ensure that an attacker having a prior link cannot reset the user account since the attacker cannot guess the token. Furthermore, invalidating this token ensures that the link cannot be used more than once if it was previously logged anywhere. To propose and verify the efficiency of the model the results generated(in quantitative values) are frequency (monobit) testing, with a minimum bit size of 64, given the P-values derived from the above study (i.e., 0.8838, 0.6187, 0.3768, 0.2817, 0.5843, 0.4167). The findings reveal throughput for encryption of 0.91531 and for decryption of 0.4854, space complexity of 0.4854, and entropy of 7.942616667.This research work studies the design of a robust, adaptable, and non-deterministic SaaS application that can be secure for enterprises and subsequent research studies will be conducted in the development.