Flaws In System Research Articles

A Study of Software Defect Prediction Using Artificial Intelligent and Business Risk Management Approach

Abstract: The usage of several artificial intelligence algorithms in the area of software defect prediction is reviewed in the literature in this paper, it review the use of various techniques for artificial intelligence in the field of software defect prediction. Software system flaws remain a significant issue, and modern software development now faces many difficulties. Identification, estimation, and evaluation of the risks are crucial steps in order to avoid, minimize, and monitor the risks and their effects.This literature review is quite helpful because it improves understanding of the studied area. A software fault is a flaw in an executable product that results in software failure. Saving money, time, and effort may be accomplished by identifying general software process areas that may require attention from the start of a project and understanding the potential causes of problems. Planning, managing, and carrying out software development activities could be aided by the ability for early fault estimation. In order to study how many prediction approaches have been developed over this time to address the problems linked to software defect, this research conducts a literature review of works from the previous many years.In the field of software development, the study also discusses software risk management. This study makes a significant contribution by proposing a method for analyzing, organizing, and utilizing information technology initiatives in the context of software defect prediction and risk management.

A study of the types and manifestations of physicians' unintended behaviors in the DRG payment system.

In recent years, China has implemented the Diagnosis Related Groups (DRG) payment system as part of its healthcare insurance reimbursement policy. Numerous studies have focused on the effectiveness of DRG payment system in controlling unreasonable growth in medical expenses. However, there has been no systematic report on the types of unintended behaviors exhibited by doctors under the DRG payment system. The study first utilized interrupted time series analysis to analyze medical records and insurance data from eight hospitals. It investigated the data changes in MDC and ADRG groups before and after the implementation of the DRG payment system. Subsequently, a semi-structured interview method was employed to conduct qualitative research on the unintended behaviors of physicians, aiming to gain a more accurate understanding of specific changes in physician behavior after the implementation of the DRG payment system. This study discovered that doctors engage in unintended behaviors within the framework of the DRG payment system. In the early implementation of the DRG payment system in China, the contradictions between the flawed DRG payment methods and supporting systems and the actual diagnostic and treatment work manifested in the form of unintended doctor behaviors. Most of these unintended behaviors can be considered reasonable feedback from doctors to cope with the existing system flaws. They are conducive to identifying the deficiencies in China's DRG payment system and suggesting directions for improvement.

Unpolitical solutionism: Wealth elite sentiments against democracy and politics.

The last few decades have been marked by discourses that challenge many basic presumptions supporting liberal democracy. Populist parties in particular have raised criticism against democratic systems, and authoritarian programmes have made electoral gains. This article offers the elite's perspective on this phenomenon, which is often discussed in the context of lower income groups. Drawing from qualitative interviews with 90 Finnish top earners, the article shows how wealth elites sustain strong discontent towards liberal democracy and see it as an ineffective and sometimes fundamentally flawed system. They are concerned with its alleged (in)efficiency and disagreements typical of democratic processes and are correspondingly fascinated by solutions that are presented as self-evident but that no one has the courage to execute. In this article, we refer to this type of reasoning by introducing and developing the term unpolitical solutionism, which refers to a preoccupation with quick solutions to complex problems that are political in nature. The concept of unpolitical solutionism builds on discussions of unpolitical democracy (Urbinati) and technosolutionism (Morozov) and brings them to our dialog. By analysing wealth elites' views in a Nordic democracy and by developing the concept of unpolitical solutionism, this article contributes to recent discussions on different forms of unpolitical argumentation in the context of (liberal) economic thinking.

Improving land-cover-based expert matrices to quantify the dynamics of ecosystem service supply, demand, and budget: Optimization of weight distribution

Although the land-cover-based expert matrices have been widely used for ecosystem service assessment, criticisms about the accuracy and reliability of this method have never ceased. In this study, we introduced a weight distribution approach called Full Permutation Polygon Synthetic Indicator (FPPSI) into the land-cover-based expert matrices, trying to reduce the systemic flaws caused by the default weight assignment and accumulative calculation form of general matrices method. Taking Hangzhou, a representative city in the rapid urbanization process of China as an example, we used the weight optimization expert matrices to quantify the dynamics of ecosystem service supply, demand, and budget during the period of dramatic land cover change from 1990 to 2020. An indicator named supply–demand balanced index (SDBI) was formulated to describe the supply–demand situation among ecosystem services. The results indicated that with the continuous encroachment of the artificial surface on suburban cultivated land, the supply and demand of the 12 selected ecosystem services had experienced a decreasing trend in varying degrees. The evaluation results derived from the general method indicated that the ecosystem service budget of the study area had dropped by an average of 11.1% in the past 30 years, while the percentage was only 5.7% through the weight optimization method. Through literature review and discussion, we note that ecosystem services assessment is a process fraught with uncertainty. The weight optimization method has the advantage of being convenient, intuitive, and adjustable. It can also export more conservative evaluation results compared with the general method, which can better reflect the dynamic and non-linear process between land use types and ecosystem services to a certain extent. The above findings provide new insights for reducing uncertainty in land-cover-based expert matrices assessments, which can be applied to the practical assessment of ecosystem supply and demand with dramatic land use/land cover changes.

Sistem Informasi Inventory Penjualan Barang (Studi Kasus : Toko Aru Raya)

The system for handling product data in a store is one that can facilitate efficient operation. It is still not utilized by the majority of stores, which continue to manage their product data manually. Application for the Goods Data Management System at the Aru Raya Store, which will be sent to the stage of system implementation used to manage transactions at the Aru Raya Store. Numerous flaws in the current system have been discovered during the course of the field research procedure. Despite the fact that there is nothing as a whole, but rather leads to specific issues, it is anticipated to have a significant impact on system users. Because it will be quicker, more accurate, and more precise with this information system, the author of the information system designed the supply chain for Baceno Bag Convection. The author of this new system realized an effective system at Aru Raya Store in Lubuk Begalung by creating it utilizing the PHP, UML, and MySQL Database programming languages.

Fuzzy logic-based decision support system for automating ergonomics risk assessments

Workers in the modular construction industry are frequently exposed to ergonomic risks, which may lead to injuries and lower productivity. In light of this, researchers have proposed a number of ergonomics risk assessment methods to identify design flaws in work systems, thereby reducing ergonomic discomfort and boosting workplace productivity. However, organizations often disregard ergonomics risk assessments due to a lack of convenient tools and knowledge. Therefore, this study proposes a fuzzy logic-based decision support system to help practitioners to automatically and comprehensively assess the ergonomic performance of work systems. For comprehensive assessment of ergonomic risk, the proposed decision support system considers physical, environmental, and sensory factors. Specifically, the decision support system comprises eight fuzzy expert systems that output a composite risk score, called an “ergonomic risk indicator”, that indicates the overall level of ergonomic risk present in a given work system. The performance of the proposed decision support system is then evaluated using a real-world case study in a modular construction facility by comparing the results of the decision support system with the facility's occupational injury reports. The results prove the effectiveness of the decision support system. Overall, the decision support system is capable of generating a composite risk score, the ergonomic risk indicator, and the proposed high-level architecture and design represent significant contributions for the enhancement of health and safety in the modular construction industry.

A MARXIST STUDY OF DAN BROWN’S INFERNO

<p>The research paper analyses Dan Brown's novel <em>Inferno</em> and its portrayal of Marxism. In this context, the plot of the novel, along with the events, characters and organizations are examined. The study also emphasizes how the novel depicts the shadowy power structures that govern societies, such as the Catholic Church or the enigmatic Illuminati organization, which is portrayed through different types of faces or organizations while remaining the same. They also operate in the background, attempting to manipulate events and people in order to preserve their own selfish power and wealth. The research paper also focuses on how Sienna Brooks' character highlights the flaws in the capitalist system, where only the wealthy class has access to technology, further dividing society. The concept of hidden power is also discussed, and it is demonstrated how the novel reflects Marxist theory about the power of the ruling class. Eventually, the research paper delves deeply into Marxism's theoretical and ideological aspects, as well as how they relate to issues of class struggle, moral standards, belief systems, and economic states in modern society. Ending the research with a conclusion that discusses how the novel raises important points about the potential consequences of failing to address the issue of overpopulation, such as the possibility of a global catastrophe caused by resource depletion and disease spread.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0002/a.php" alt="Hit counter" /></p>

Stock Market Predictor Web Application

Abstract: This project intends to analyse massive amounts of data and execute thorough regression algorithms on the dataset, which will accurately estimate the future value of a stock using the regression model. The goal of this work is to examine the flaws in the current system and develop a time-series model that would implement more effective algorithms to mostly alleviate them. Anyone may keep track of the favoured stock they wish to invest in using this strategy, and they can maximise their profits by buying plenty of it at the cheapest price. A popular and important topic in academic and financial study is stock price forecasting. Utilizing machine learning, which generates predictions based on the values of current stock market indexes by training on their historical values, a recent development in stock market forecasting technology. Machine learning itself employs a variety of models to facilitate and validate prediction. The study focuses on regression and machine learning for predicting stock value that are LSTM-based.

Decentralized Voting System Using Blockchain

Abstract: India is the world's huge democracy and has the greatest population. The necessity for more advanced technology is brought on by security flaws in the current voting system. Although there are difficulties in creating a safe electronic voting system, there are advantages such as ease and cost savings. There are problems that need to be solved, like user authentication and faulty equipment. In order to increase security and transparency, the suggested solution calls for building a secure voting system that makes use of blockchain technology. The dependability and integrity of the Indian election process would increase as a result of this, which would guarantee the users' legitimacy and safeguard against manipulation or fraud.

Pathways to single fatality and serious injury incidents in coal and metalliferous mining in NSW, Australia: Can we learn from multiple fatality incidents to prevent serious injury?

IntroductionConsiderable research has been undertaken to identify key causes of major incidents and disasters. Single fatalities and incidents resulting in serious injury have received less attention. These incidents, often referred to as occupational incidents, are investigated and prevented by identifying and managing risks related to proximate causes. The plateau in rates of fatalities and serious injuries suggests this approach is not working. AimTo examine if recurrent failures identified in major incidents are also present in other serious incidents and if regulatory failure and economic pressures are contributing factors. MethodsThe Ten pathways model was used to analyse 51 serious incidents investigated by the mining regulator in New South Wales (NSW), a major mining jurisdiction in Australia. The sample included incidents at 16 underground and nine surface coal mines, and four underground metalliferous mines. The primary data source was official regulatory investigation and prosecution summary reports published on the NSW mining regulator’s website. To understand the socio-economic context, the study used other sources. ResultsThe study confirmed the Ten pathways model identified the recurrent failure points for serious incidents. Seventy five percent of incidents exhibited at least five pattern-failures and 25% exhibited eight or more. The most common pattern-failures were engineering (98%); risk assessment failures (98%); and safety management system flaws such as inadequate statutory inspection, information transfer between shifts and levels, and an overreliance on personal safety routines to control risks (96%). Economic pressures and regulatory failure were identified in 71% and 55% of incidents respectively. ConclusionsWhen investigating incidents and designing injury prevention strategies regulators and mine operators should consider economic pressures arising from the broader socio-economic environment.

An overview of the challenges and opportunities for the adoption of the nurse's role in primary care settings

The recent SARS-COV-2 pandemic and the quick change in the epidemiological picture have highlighted the populace's needs and revealed the flaws in the healthcare systems. Even though the nurse's role in care teams is widely acknowledged, some care settings need help implementing the position. Barriers and facilitators must be identified to integrate the nurse's role in primary care settings. This review focused on the main barriers and facilitators to implementing the nurse's role in primary care settings. These results offer insightful data that stakeholders can use to create implementation plans for nurses' participation in programs and activities, addressing the issues that stand out as barriers and highlighting those that are facilitators.

Understanding Filipino Jail Detainees’ Self-Harming Behavior: A Grounded Theory Explortion

This grounded theory exploration aims to advance a theory that explains the development of self harming behavior (SHB) among a select group of Filipino jail detainees. Using the Classical Glaserian Grounded Theory procedure, a novel process that describes Filipino Detainees’ Phases of Self Harming Behavior (gravitational, transformational, interventional and dispositional) emerged. Findings from this inquiry may serve as bases for policy-making and intervention programs that inform the triggers and preventative factors associated with SHB in the penal setting. These may further raise awareness of forensic mental health and human rights violations among detainees in flawed justice systems in low-to-middle income countries (LMICs).

Alternative Dispute Resolution (ADR): A Suitable Broad Based Dispute Resolution Model in Nigeria; Challenges and Prospects.

Purpose: Due to the flaws in the traditional judicial system, the use of Alternative Dispute Resolution (ADR) methods is gaining popularity among scholars and lawyers around the world. Most scholarly articles have examined the inherent advantages of Alternative Dispute Resolution (ADR) techniques over the traditional judicial processes for resolving different types of conflict. Despite the increasing frequency and classification of conflicts in Nigeria, little research has been conducted on the reasons for, and barriers to, disputants' use of alternative dispute resolution (ADR) systems as viable options. Given the complexity of the nature and structure of disputes in Nigeria, this research delves into the factors that push and pull litigants into the use of Alternative Dispute Resolution (ADR).
 Methodology: This study utilized an explanatory research approach to investigate the many distinctive kinds of conflicts and match them with the most relevant ADR procedures. In particular, property disputes, family conflicts, and business disagreements were investigated. 
 Findings: According to the findings, Alternative Dispute resolution (ADR) may lead to a considerable reduction in the amount of time and expense of the dispensation of justice that addresses unfairness in the system of criminal justice administration, ultimately resulting in positive social change.
 Contributions to Theory, Policy and Practice: The study concludes that Alternative Dispute Resolution (ADR) processes have significant potentials for handling the growing number of disputes. However, it is necessary to address their shortcomings as well as facilitate collaboration between the practitioners and the regular courts. It would improve social stability and guarantee satisfaction for the perpetrator, the victim, the community, and society as a whole if this were done. The study recommended, among other things, that the general public and litigants be educated on the inherent advantages of Alternative Dispute Resolution (ADR) in the resolution of conflicts.

E -Voting System using Blockchain

Abstract: Designing a voting system that ensures fairness, privacy, and security is a significant challenge. The lack of trust in election systems among large sections of society worldwide is a major concern for democracy. Flawed voting systems pose a threat to democracies, including governing bodies, co-operating societies, and student councils. Vote rigging, hacking of electronic voting machines (EVMs), election manipulation, and booth capturing are the key issues with the current electoral system. To address these issues, we propose using novel technologies such as blockchain and Merkel trees, which are wellknown for their security benefits. Our system builds on popular blockchain frameworks that provide blockchain as a service, while preserving participants' anonymity and enabling public scrutiny. Blockchain is a unique technology of our time that promises to enhance the resilience of digital voting platforms. It presents an opportunity to leverage the benefits of blockchain, such as cryptographic foundations and transparency, to achieve an efficient digital voting system.

Difference between Sports and Hobbies

Purpose: The purpose of this research was to produce a work that will resolve the problem of neglecting the importance of sports and hobbies vocabulary in our national educational system in South Sudan. It will also work as a catalase of change in the Southern Sudanese system of academic development.
 Methodology: A desktop literature review was used for this purpose. The study's relevant seminal references and journal articles were identified using Google Scholar and other database engines.
 Findings: The findings revealed that the main problem in learning English in South Sudan is the curriculum's lack of English vocabulary related to Sports and Hobbies. And this results negatively in a flawed educational system in which school leavers are graduated from their schools with little knowledge, if not ignorant, because sports and hobbies knowledge is totally or entirely ignored in setting our curriculum.
 Unique Contribution to Theory, Policy, and Practice: The new idea in this study is to give importance to vocabulary related to sports and hobbies as the shortest way to help learners and indicate the necessity of sports and hobbies to be part of our culture and to pave the road for their existence as part of our national phenomenon. Besides, it will significantly contribute to the actual knowledge of the academic community's current understanding of their subject. Moreover, this research will challenge other research on learning English as a Foreign Language in South Sudan because it looks deeply at the root of this problem. This poorly planned educational system never gives room for new ideas to develop. Besides, this proposal will also provide a solution for ignoring sports and hobbies vocabularies in our educational system and will help inject English vocabulary into our curriculum development. Being the first in South Sudan, this research will significantly help teachers, students, the Ministry of Education, at home, and whoever wants to learn vocabulary related to sports and hobbies. It will also be helpful and reachable for many people learning English as a foreign language. It will also help provide English vocabulary related to sports and hobbies through research in our educational system.

IMPLEMENTASI KEBIJAKAN PENGELOLAAN SURAT PERINTAH PERJALANAN DINAS BERBASIS WEBSITE (E-SPPD) DI SUB BAGIAN PERJALANAN BIRO UMUM DAN PROTOKOL PROVINSI PAPUA

The problem of how to implement the Electronic-based Business Travel Order Management Policy (E- SPPD) in the Travel Division of the General Bureau and Protocol of the Papua Province and what are the supporting and inhibiting factors for the Implementation of the Electronic-Based Business Travel Order Management Policy (E-SPPD) in the Travel Division of the General and Protocol Bureau of the Papua Province were developed as a result of this research. This study aims to explain and assess the Electronic-Based Service Travel Order Management Policy (E-SPPD) implementation process as well as the factors that support and hinder the implementation of the Electronic-Based Business Travel Order Management Policy. A study that describes the Implementation of Website-Based Business Travel Order Management Policy (E-SPPD) in the Travel Subdivision of the General Bureau and Protocol of Papua Province is an example of the descriptive qualitative research type. This kind of phenomenological research aims to paint a clear picture of the issues under investigation based on the informants' personal experiences. Network issues and system flaws, a lack of facilities and infrastructure, a lack of staff, manual disposition and application systems that can only be signed by the definitive Regional Secretary mean that work on the Official Travel Order (SPPD) will be done manually by Plh. Sekda if the Regional Secretary is not in the area. who signed it, despite the fact that its advantages can increase productivity by accelerating the creation of Website/Electronic Based Service Travel Orders (E-SPPD) and Factors the author met during interviews and field research.

The Sources of Library Democracy in Russia in the Beginning of XX Century

The article investigates the history of native public library associations . It is noted the main landmarks of the Petersburg library science society creation and functioning as well its achievements . Also the negative aspects of its activity are identified and analyzed . The systemic flaws of participation of liberal specialists in the post-revolutionary library policy and practice are considered .

The impact of R&D expenditures and screening in an economic production rate (EPR) inventory model for a flawed production system with imperfect screening under an interval-valued environment

In this paper, a single product of a single manufacturing unit for an imperfect production inventory system is modelled to minimize the total cost of a production cycle. A large fraction of defective items is passed to customers by manufacturers due to imperfect screening method so manufacturer replace them with new ones while incurring penalties. This fraction depends on the investment of research and development (R&D). This paper optimizes the R&D cost to minimize the defective items produced in a production line. The demand function depends on the selling price, advertisement cost, and product quality. The quality of the produce items is measured by screening time effort and investment in R&D. Further, we considered all the costs of the production cycle in interval-valued form and elaborately discuss the application of interval metric in the total cost interval objective function. A necessary and sufficient conditions are derived for the proposed model with the help of modified KKT conditions. Results show that applying screening and R&D costs significantly reduces the number of defective items and simultaneously reduces the total cost. A numerical example is presented along with sensitivity analyses on different parameters with the help of MATLAB software.

DESIGN OF A FRAMEWORK FOR DATA EXTRACTION AND ANALYSIS FROM ANDROID-EMBEDDED SMARTPHONES

Mobile forensic acquisition is a critical aspect of modern criminal investigations, as mobile devices have become an essential part of our daily lives. Yet, forensic investigators aiming to extract data from current mobile devices in a forensically sound manner have faced substantial difficulties due to the robust security features of these devices, such as encryption. Conventional forensic data-collecting techniques are no longer viable, necessitating the development of new techniques that work by evading security measures and taking advantage of system flaws. The CLOUD Act is a US law that gives foreign governments the authority to demand information from US-based Cloud Service Providers or to eavesdrop on conversations, which makes it more difficult to do forensic analysis on mobile devices. To address these issues and evaluate contemporary forensic data extraction approaches in light of the contentious regulation of encryption and governmental access to encrypted devices, this article suggests a new model for mobile forensic acquisition. One of the major challenges faced by forensic investigators is the constantly evolving nature of mobile devices and their software. As manufacturers release new models with different security features and operating systems, forensic experts must adapt their techniques to keep up with these changes. Additionally, the use of encryption is becoming more widespread among consumers, which makes it more difficult for forensic experts to access data on these devices. Therefore, it is essential that forensic investigators stay up to date with the latest advancements in mobile technology and develop new techniques for data extraction that can keep pace with these advancements.

Constructive disruption: A proposal for a planet-centred curriculum to enable circular systems thinking in fashion and textiles education

Traditional fashion and textiles education is predominantly based on processes that inform a linear fashion industry which contributes to global, significant environmental and societal challenges. Thus, universities share governments’ accountability for sustaining a flawed system. As a response, this study proposes a planet-centred and community-focused fashion and textile curriculum, equipping students with competencies required for cultural change that enables a prosperous future for all. This curriculum proposal explores how an environment at Birmingham City University to observe nature (Growth Garden) and to explore materials (MAT_er.LAB) can be a place where artistic, scientific and technical perspectives thrive through collaborative and reflective practice. As a STEAM approach, it embeds art within the STEM agenda through a four-layered pedagogical structure that feeds into a curriculum framework mimicking the seasonal calendar to allow several entry points and lifelong learning. Designed to form an inclusive and equal learning system for ‘constructive disruption’, strategies aim to dismantle the existing knowledge-accruing focused learning structures that currently prevail. Seeking change beyond education, this proposal also questions dominating point-based application systems as irrelevant for cultural change. By embedding community-driven assessment forms, it shifts evaluation from grades to impact providing real change that serves nature and society.