Case Analysis Research Articles

Research on the influence mechanism of fluid control valve on the production of segmented horizontal wells and the balanced gas production control model: A case analysis of Sichuan basin natural gas

The existing research on the multiple fluid control valves to control the balanced exploitation of natural gas in horizontal wells lacks theoretical model support. On this basis, this paper established a flow rate and pressure model of the segmented horizontal well based on the fluid control valve. The model considers the throttling performance, installation position and opening adjustment step size of the fluid control valve for the first time. Next, systematically analyzed the mechanism of mutual influence of the opening and the position on the flow rate and pressure based on multiple fluid control valves. In addition, a novel method of using the dichotomy model to adjust the production of different production segments was proposed to analyze the horizontal wells of 15 production segments in Sichuan. It was found that when the opening adjustment step size is less than 5%, the natural gas production shows irregular changes, which makes it hard to effectively control the production of each segment. When the step size is 5%, the maximum production variation is 2.7%, which will have a more significant and meaningful effect on the exploitation of natural gas. Through seven iterations, the maximum production errors of high and low production segments are 1.3 % and 1.1 % respectively, both less than 2.7%. The research results verified the correctness of the theoretical model of segmented horizontal wells based on multiple fluid control valves. This research provided a theoretical basis for the opening control of multiple fluid control valves based on different production segments of horizontal wells.

Numerical Study of the Solar Energy-Powered Embedded Pipe Envelope System

This study introduces a Solar Energy-Powered Embedded Pipe Envelope System (SEPES) designed to enhance indoor thermal comfort and reduce heating loads during the heating season. To achieve this objective, a dynamic simulation model coupling a SEPES and building thermal environment was established under the TRNSYS environment. Based on the model, a case analysis was conducted to investigate the operational characteristics of the system during the heating season in a rural building in Beijing. The results indicate that, on the coldest heating day, the system can elevate the indoor temperature by 14.5 °C, reducing the daily heat load from 76.3 kWh to 20.3 kWh, achieving a remarkable energy savings of 73.4%. Additionally, due to the utilization of lower solar heat collection temperatures, the energy efficiency of the system reaches 26.9%. Throughout the entire heating season, the SEPES system enhances the natural indoor temperature by 13.3 °C to 16.6 °C, demonstrating significant effectiveness. Moreover, regional adaptability analysis indicates that the SEPES achieves energy savings ranging from 43.9% to 66% during the heating season in cold regions and regions with hot summers and cold winters in China. Overall, the SEPES is most suitable for climates characterized by both low temperatures and abundant solar radiation in order to achieve optimal performance.

Operative trends following the adoption of nonoperative management of rectal cancer.

Differentiating clinical near-complete and complete responses (cCR) after neoadjuvant therapy (NT) is challenging in rectal cancer patients. We hypothesized that magnetic resonance imaging staging limitations for low rectal cancers may increase the proportion of abdominoperineal resection (APR) with permanent colostomy for those without a cCR. Single institution retrospective analysis of rectal cancer cases before and after adoption of nonoperative "watch and wait" (W&W) pathway. APR as a percentage of rectal resections was the primary outcome. There were 76 total mesorectal excisions (TME) in the pre-W&W group and 98 in the post-W&W group. NT was significantly more common in the post-W&W group. There was no significant difference in the APR primary outcome (pre-W&W APR 33.3% vs. post-W&W APR 26.5%, p = 0.482). APR patients had fewer complete TME grades (69.2% vs. 46.2%) and more pathologic complete responses (0% vs. 26.9%) in the post-W&W period. The cCR rate for patients with nonoperative management was 51.4% (n = 37) and 13.5% (n = 5) had regrowths, all of whom underwent salvage surgery. APR for those without a cCR to NT has not increased in the nonoperative management era. Balancing the pathologic complete response rate may require restaging some patients with clinical near-complete responses.

Optimization strategy for flexible barrier structures: investigation and back analysis of a rockfall disaster case in southwestern China

Abstract. Field investigations and back analyses were conducted on a rockfall hazard. The flexible barrier protection system constructed along the roadside was damaged by the rockfall impact and lost its mitigation ability. Vital physical characteristics such as rockfall trajectory and kinetic energy were presumed based on the data from the aerial survey and the slope digital model. A numerical model, including slope, rockfalls, and flexible barrier, was created and thus the impacting process was reproduced. It demonstrates that the impact kinetic energy of the rockfall is only around 40 % of its design protection energy. The improper connections of members are the leading causes of damage, which prevent the flexible barrier from producing significant deformation and reduce its capacity to absorb impact force. The damage can be avoided by changing the connections of the members to improve the ability of the nets and ropes to slide and deform. The calculation results indicate that the impact resistance of the optimized model is 3 times better than the actual project. The findings can be used as a guide when designing a flexible protection system that performs better.

Blokų grandinės technologijų kompetencijų modelio, skirto tarpdisciplininėms studijų programoms, sukūrimas

Contribution. This study identifies blockchain-related competences essential for professionals involved in blockchain projects and develops a blockchain technology competence model for interdisciplinary curricula development. Background. Amidst the surge in blockchain implementations, a gap exists in systematic knowledge about the skills required from blockchain professionals. While the number of new blockchain implementation cases is growing, there are no systematic reviews on the success factors or the skills required from blockchain professionals. Lack of systematic information on blockchain projects and their implementers presents a substantial obstacle to the development of new competence-oriented academic and professional educational programs, as well as for guiding recruitment for blockchain projects. Research Question. This research investigates the necessary knowledge and skills to leverage opportunities and adapt to changing employment trends in blockchain technology. The guiding research question of this study is, what knowledge and skills must be acquired in order to be able to exploit opportunities and to be prepared for changes in employment trends in the context of blockchain innovations? Methodology. The study adopts exploratory multiple case analysis based on qualitative content analysis of job advertisement and expert interviews. Findings. The study develops a blockchain technology competence model for interdisciplinary academic and professional educational programs. The developed model can also be used for guiding the development of professional training, certification, and recruitment strategies and practice for blockchain projects.

Virtual reality technology to enhance the publishing of science and technology journals construction path exploration

The application practice of virtual reality technology in enhanced publishing of sci-tech periodicals is explored by case analysis and comprehensive analysis with the introduction of virtual reality technology as forerunner to promote the innovation of mechanism of sci-tech periodicals. comprehensive analysis with the introduction of virtual reality technology as forerunner to promote the innovation of mechanism of sci-tech periodicals, and the extension of industry chain of Chinese academic periodicals and the upgrading of Chinese academic publications. periodicals, and the extension of industry chain of Chinese academic periodicals and the upgrading of platform intellectualization. The research on The research on the application of virtual reality technology in enhanced publishing of sci-tech journals is still in its infancy at home and abroad, and there are many The research on the application of virtual reality technology in enhanced publishing of sci-tech journals is still in its infancy at home and abroad, and there are many obstacles in the application of virtual reality technology. technology, and proposes that the construction of augmented publishing of scientific journals by virtual re ality technology should be carried out from three aspects: content production, operation and management. three aspects: content production, operation and communication, so as to realize the deep integration of virtual reality technology and scientific journals. The construction of augmented publishing of scientific journals by virtual ality technology should be carried out from three aspects: content production, operation and communication, so as to realize the deep integration of virtual reality technology and scientific journals.

Construction and Application of a Quality Evaluation System for Group Elderly Care Services Based on the Internet of Things

With the continuous intensification of global aging, the issue of elderly care has become an increasingly prominent social problem. The Internet of Things (IoT) technology, as an emerging field, holds broad application prospects. This article focuses on the application of IoT technology in group elderly care services and constructs a quality evaluation system for these services based on IoT technology. Through the analysis of practical application cases, the advantages and challenges of IoT technology in group elderly care services have been examined, confirming the feasibility and effectiveness of the evaluation system.

3D reconstruction of events: Search for a spatial correlation between injuries and the geometry of the body discovery site

The aim of the study was to assess the usefulness of analysing visual material in a 3D environment when examining spatial interrelations between the incident participants, tools, and space surrounding the incident site. Such analysis may provide information about the trauma mechanism, which may lead to the determination of probable events. This paper points to the potential of conducting research under 3D environment conditions on the example of a specific criminal incident—a suspected homicide. The aim of the study was to identify possible circumstances of the events with particular emphasis on the mechanism of death and the involvement of third parties. It was performed a comprehensive 3D reconstruction of the elements of the incident using different sources and forms of evidence, and consequently also different imaging, analysis, and synthesis technologies. The resulting 3D reconstruction and animation of the possible events serve to verify the investigative hypotheses. The paper combines a technical description of the research methodology with a forensic commentary, which ultimately creates an integral synthesis of the medicolegal assessment for trial purposes, while presenting the effectiveness of the research methods used. To sum up, the paper presents an experiment carried out under virtual conditions, impossible to execute under real conditions but critical for trial case analysis.

Medico-legal risks of point-of-care ultrasound: a closed-case analysis of Canadian Medical Protective Association medico-legal cases

BackgroundPoint-of-care ultrasound (POCUS) has become a core diagnostic tool for many physicians due to its portability, excellent safety profile, and diagnostic utility. Despite its growing use, the potential risks of POCUS use should be considered by providers. We analyzed the Canadian Medical Protective Association (CMPA) repository to identify medico-legal cases arising from the use of POCUS.MethodsWe retrospectively searched the CMPA closed-case repository for cases involving diagnostic POCUS between January 1st, 2012 and December 31st, 2021. Cases included civil-legal actions, medical regulatory authority (College) cases, and hospital complaints. Patient and physician demographics, outcomes, reason for complaint, and expert-identified contributing factors were analyzed.ResultsFrom 2012 to 2021, there were 58,626 closed medico-legal cases in the CMPA repository with POCUS determined to be a contributing factor for medico-legal action in 15 cases; in all cases the medico-legal outcome was decided against the physicians. The most common reasons for patient complaints were diagnostic error, deficient assessment, and failure to perform a test or intervention. Expert analysis of these cases determined the most common contributing factors for medico-legal action was failure to perform POCUS when indicated (7 cases, 47%); however, medico-legal action also resulted from diagnostic error, incorrect sonographic approach, deficient assessment, inadequate skill, inadequate documentation, or inadequate reporting.ConclusionsAlthough the most common reason associated with the medico-legal action in these cases is failure to perform POCUS when indicated, inappropriate use of POCUS may lead to medico-legal action. Due to limitations in granularity of data, the exact number of civil-legal, College cases, and hospital complaints for each contributing factor is unavailable. To enhance patient care and mitigate risk for providers, POCUS should be carefully integrated with other clinical information, performed by providers with adequate skill, and carefully documented.

Parents’ perspectives on adolescent social emotional learning: an explorative qualitative study amongst parents of students in prevocational secondary education

PurposeWorldwide, schools implement social-emotional learning programs to enhance students' social-emotional skills. Although parents play an essential role in teaching these skills, knowledge about their perspectives on social-emotional learning is limited. In providing insight into the perspectives of parents from adolescent students this paper adds to this knowledge.Design/methodology/approachAn explorative qualitative study was conducted to gain insight into parents' perspectives (N = 32) on adolescent social-emotional learning. A broadly used professional framework for social emotional learning was used as a frame of reference in interviews with parents from diverse backgrounds. Within and across case analyses were applied to analyze the interviews.FindingsA conceptual model of four social-emotional skills constructs considered crucial learning by parents emerged from the data: respectful behavior, cooperation, self-knowledge and self-reliance. Parents' language, interpretations and orderings of skills indicate that the model underlying these constructs differs from skills embedded in the professional framework.Research limitations/implicationsParticipants were small in number and mainly female. Therefore, more research is necessary to test the model in other parent populations.Practical implicationsThe social-emotional skills students in prevocational secondary education learn at home differ from those targeted in SEL programs. Engaging students’ parents in SEL program implementation is indicated to align the skills taught at home and school. Preparing teachers to implement such programs requires training them on engaging parents from diverse backgrounds.Originality/valueThe study is one of the first providing insight into parents’ perspectives on SEL, the social-emotional skills deemed crucial to master for adolescents, and the roles they view for themselves and school on teaching these skills.

Research and Practice of Computer Application Technology in Big Data Analysis

This article aims to discuss the application of computer application technology in the field of BD (big data) analysis and the challenges it faces, and put forward corresponding countermeasures. Firstly, this article introduces the definition, characteristics and theoretical basis of BD analysis. Then, the specific application of computer application technology in BD analysis is elaborated in detail. Through case analysis, the practical application effect and value of computer application technology in BD analysis are demonstrated. The research results show that computer application technology plays a vital role in BD analysis, which can improve the efficiency of data processing, the accuracy of analysis and the scientific decision-making. Moreover, the research also reveals the technical, methodological and practical challenges faced in the process of BD analysis. In view of these challenges, this article puts forward corresponding countermeasures and suggestions, including strengthening the construction of policies and regulations, promoting technological innovation and research and development, and promoting Industry-University-Research's cooperative cooperation. These countermeasures have certain guiding significance and practical value for promoting the development of BD analysis.

Exploring Sustainable Clothing Display Design under the Concept of Sustainability

This paper examines sustainable clothing display design under the sustainability concept. The fashion industry faces growing pressure to incorporate sustainability into display design due to environmental concerns and consumer expectations. Employing a comprehensive approach, including literature review, case studies, and consumer surveys, this research establishes a theoretical framework by elucidating sustainable development principles and objectives. Through the analysis of successful sustainable display design cases, particularly within clothing manufacturing and supply chains, the study highlights the pivotal role of brands in this process. Extensive surveys and interviews involving consumers of different demographics and shopping behaviors reveal a positive consumer attitude toward sustainable display design, with sustainability being a significant factor in purchasing decisions. The findings suggest that brands and retailers can enhance their reputation and sales effectiveness by adopting eco-friendly materials, energy-efficient lighting, and reusable display elements. Nevertheless, the study identifies challenges, such as the need for education and standardization in sustainable display design implementation. This study emphasizes the importance of sustainability in clothing display design and its potential to positively impact brand reputation and sales. The research provides valuable guidance to brands and retailers and proposes future research directions, including market segmentation, cultural considerations, and the establishment of sustainable development criteria, to further advance sustainability in the fashion industry.

STRATEGY MAPS: EXPLORING CASE STUDY METHODOLOGY THROUGH MART (MALAGA RACING TEAM)

This paper presents the experience developed in the course entitled Organisational Management of the second year of the Degree in Marketing and Market Research at the University of Malaga focused on the development of the strategy map of MART (Malaga Racing Team) for the 2022/23 season. MART, a multidisciplinary team made up of more than eighty students from twenty different undergraduate and postgraduate disciplines at the University of Malaga, participates globally in Formula Student. The proposal is based on the case analysis methodology, encouraging students in this subject to carry out a preliminary diagnosis of MART, define its strategic framework (mission, vision and values), and identify and represent a series of strategic objectives grouped by perspectives (economic-financial, customer-market, internal and learning-growth), together with their corresponding causal relationships. This teaching-learning methodology contributes to the achievement of specific and complementary goals of the subject, providing students with the opportunity to apply the knowledge acquired in a practical environment.

Dynamics of Economic Growth and Its Influence on Community Welfare: Case Analysis in Developing Countries

This journal article explores the dynamics of economic growth and its impact on community welfare, with a specific focus on developing countries. Economic growth is a pivotal factor in shaping the well-being of communities, and understanding the intricate relationship between growth patterns and welfare outcomes is essential for informed policymaking. The study employs a case analysis approach to delve into the unique challenges and opportunities faced by developing countries. By examining the dynamics of economic growth, the research aims to uncover the mechanisms through which growth translates into tangible improvements in community welfare indicators. The analysis encompasses a range of economic factors, including GDP growth, employment rates, income distribution, and access to basic services. Special attention is given to the role of social and economic policies in mediating the effects of growth on community welfare. Through an in-depth examination of selected developing countries, the study seeks to identify patterns and best practices that contribute to positive welfare outcomes. It also explores potential challenges and disparities that may hinder the equitable distribution of benefits from economic growth. The findings of this research provide valuable insights for policymakers, economists, and development practitioners. By elucidating the dynamics between economic growth and community welfare in the context of developing countries, the study contributes to the ongoing discourse on sustainable and inclusive development strategies. In conclusion, this article underscores the importance of considering the multifaceted nature of economic growth and its implications for community welfare. The research advocates for a holistic approach to development that goes beyond GDP figures, emphasizing the need for policies that foster inclusive growth and ensure that the benefits of economic progress reach all segments of society.

The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study

Abstract The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the study was to offer empirical evidence and insights into the advantages and obstacles linked with digital transformation in supply chain management. To investigate the effects of digital transformation on supply chain optimization, the research employs a hybrid methodology and comprehensive approach that includes a thorough literature review, the creation of a theoretical framework, and the presentation of empirical finings through various case studies using the predefined selection criteria. The case analyses highlight crucial elements that support effective digital transformations, including real-time data analytics, teamwork, blockchain technology, digital twin augmented and virtual reality and collaborative robots. The practical implications from the findings of this study, proffers insights that can be extremely helpful for professionals in various industrial sectors and businesses planning similar digital transformation journeys. This empirical study with regards to the implication of Digital transformation 5.0 on supply chain management is novel to the body of literature. It is however necessary to conduct more study to confirm the results, apply them to a wider range of businesses, and investigate different aspects of digital transformation in supply chain optimization.

Design and Application of Global Energy Trade Cross Border E-commerce Optimization Model

INTRODUCTION: With the continuous advancement of global economic integration, cross-border energy trade activities internationally are becoming increasingly frequent.
 OBJECTIVES: To improve the efficiency of energy trade, this study is devoted to exploring the optimization model of cross-border e-commerce in global energy trade. Introducing advanced information technology and e-commerce platforms aims to facilitate the digital transformation of energy trade, improve transaction efficiency, reduce costs, and promote sustainable energy development.
 METHODS: This study adopts a comprehensive methodology, including a literature review, case analysis, and model construction. First, relevant literature on global energy trade and cross-border e-commerce was thoroughly studied to understand the current development status and existing problems. Second, the successful experiences and challenges of cross-border e-commerce in enhancing the efficiency of energy trade are summarized through the analysis of several international cases. Finally, a set of optimization models that comprehensively consider market demand, technical conditions, and policy environment are constructed to guide the development of cross-border e-commerce in global energy trade. RESULTS: The empirical analysis of the optimization model reveals that cross-border e-commerce has significant potential in international energy trade. The model can effectively improve transaction efficiency, reduce the risk of information asymmetry, and promote the balanced development of the global energy market. It is also observed that digital transformation significantly affects the promotion of sustainable energy, providing a more sustainable path for global energy transition.
 CONCLUSION: By establishing a cross-border e-commerce optimization model for international energy trade, this study provides substantial theoretical and empirical support for promoting the digital transformation of energy trade. In the future, governments, enterprises, and international organizations can draw on the conclusions of this study to formulate relevant policies and strategies to promote global energy trade jointly toward a more efficient and sustainable development path.

Intelligent Inversion Analysis of Drilling Gas Kick Characteristic Parameters and Advanced Predictions of Development Trends

Summary Gas kicks are a common and complex occurrence in oil and gas exploration and development. Obtaining the characteristic parameters promptly and accurately after a gas kick occurs is of utmost importance. The kick characteristic parameters are essential foundational data for accurately understanding the multiphase flow state within the wellbore, analyzing kick development trends, and formulating well-killing design. Traditional methods for determining gas kick characteristic parameters often involve trial estimation, a process that can introduce significant arbitrariness. Alternatively, using specialized equipment for measurement and analysis is an option, but it can be time-consuming and limited by technology and cost constraints. This paper proposes an intelligent inversion method for kick characteristic parameters based on surface logging data, including standpipe pressure and mud pit volume. First, a gas kick simulation model is developed based on wellbore multiphase flow theory. This model can accurately simulate the changes in surface logging parameters that occur when a gas kick occurs. Next, the particle swarm optimization algorithm is used to optimize the kick parameters, such as the gas-influx index and pore pressure, in conjunction with the gas kick simulation model. The optimization evaluation criterion is the Fréchet distance, which is used to identify the calculated curve that is most similar to the actual logging parameter change curve. Subsequently, kick trends can be predicted using the simulation model based on these kick parameters. The case analysis demonstrates that the method proposed in this paper can rapidly acquire the gas kick characteristic parameters based on the early change characteristics of logging parameters. It effectively simulates and reproduces the true distribution of wellbore fluids, enabling advanced prediction of kick development. This approach helps in preparing preventive measures in advance, reducing the risk of accidents, and minimizing financial losses.

Forced eruption in impacted teeth: analysis of failed cases and outcome of re-operation

BackgroundForced eruption of an impacted tooth usually requires surgical and orthodontic interventions to successfully bring the tooth into the dental arch. The clinical time required for a forced eruption is difficult to predict before treatment begins and success rates are affected by several factors before and after an eruption. This study was conducted to identify factors that affect the success of forced eruption, the duration of orthodontic treatment of impacted teeth, and the reasons for re-operation and forced eruption failure in a various teeth and cases.MethodsIn this retrospective study, the records regarding the forced eruption of 468 teeth in 371 patients from June 2006 to May 2020 at the Advanced General Dentistry Department of Yonsei University Dental Hospital were initially examined. The records of 214 teeth in 178 patients who completed orthodontic treatment were included in the analysis. Data on patient demographics, tooth characteristics, orthodontic treatment duration, re-operations, and failures were collected from electronic medical records.ResultsThere was a significant difference in age between the success and failure forced eruption. Factors significantly affecting treatment duration were apex formation, position, rotation, and re-operation. Re-operation had a 96% success rate. The average orthodontic treatment duration was 29.99 ± 16.93 months, but the average orthodontic treatment duration for teeth that undergone re-operation was 20.36 ± 11.05 months, which was approximately 9 months shorter. Additionally, there was an interaction effect between rotation and re-operation on the duration of orthodontic treatment. The causes for failure of forced eruption in 6 cases were ankyloses (3 cases), incomplete alignment with the normal dental arch (2 cases), and a significant deviation in the impacted tooth’s location (1 case).ConclusionsTo increase the success rate of forced eruption, age should be considered as a priority, and in order to predict the treatment period, the apex formation status, position in the arch, and rotation should be considered in addition to age. When determining re-operation, considering factors such as ankylosis, root curvature, and apex formation can help in the success of orthodontic treatment.

Research on governance structure and benefit balance concerning urban regeneration in Beijing, China: Analysis of the best practical cases

While proposing the national strategy of implementing urban regeneration, the Chinese government put forward requirements such as preventing large-scale demolition and construction and protecting historical architecture, indicating that the previous urban regeneration methods of demolishing low-rise and old buildings and building high-rise and new ones are no longer applicable. As the capital city, Beijing is facing more stringent constraints on reduction-oriented development and historical protection, and the problems of insufficient motivation and unclear paths for market players to participate in urban regeneration have become more prominent. Based on a systematic review of the main theories and practices of market participation in urban regeneration, this study builds a market-oriented mechanism analysis framework for urban regeneration of “governance structure-benefit balance.” In this study, we compared 34 cases that won the title of “The First Beijing Urban Regeneration Best Practice in 2022” and conducted further in-depth analysis of three typical cases by semi-structured interviews, field research, qualitative analysis, and quantitative comparison. From the study, we identified three typical governance structures of welfare protection, economic growth, and comprehensive development during the emergence of market participation in Beijing’s urban regeneration process and found that different governance structures have different cooperation and interaction mechanisms, value promotion orientations, and benefits distribution, which are respectively applicable to facilities and public space regeneration projects that implement social public welfare responsibilities, industrial regeneration projects with ample economic value-added space, and regional comprehensive regeneration projects where quasi-public goods and private goods coexist. We believe that the coexistence of multiple governance structures is an inevitable choice for China’s market mechanism of urban regeneration. The value-added space of urban regeneration projects should be further improved, the distribution of interests among multiple subjects should be balanced, and the sustainable and normalization of urban regeneration actions should be promoted.

New-onset seizures misdiagnosed as psychogenic non-epileptic seizures: a case of paraneoplastic limbic encephalitis with primary testicular cancer

BackgroundBehavioral psychiatric symptoms can be the only warning signs of more serious conditions such as paraneoplastic limbic encephalitis. Differentiating between primary psychiatric disorders and paraneoplastic neurological syndromes is crucial as they require distinct treatment approaches. In this case report, we provide an overview of paraneoplastic encephalitis and introduce a unique case that showcases a misdiagnosis of psychogenic non-epileptic seizures (PNES) in a male as the primary symptom of paraneoplastic encephalitis due to pure seminoma. This case highlights the underlying pathophysiology of antibody-mediated paraneoplastic encephalitis and its significance.Case presentationA 31-year-old male with no known past medical history presented due to recurrent seizures. There was no prior history of epilepsy or exposure to seizure-triggering agents. Imaging and electroencephalogram findings during his initial hospitalizations pointed to a potential diagnosis of PNES. The patient continued to experience seizures following discharge, leading to repeat hospitalizations. During the fourth hospitalization, the patient received mood-stabilizing anti-seizure medications and benzodiazepines, but he deteriorated and required intubation. It was during this time that the patient was transferred to our facility. Magnetic resonance imaging of the brain revealed multifocal areas of hyperintensity and restricted diffusion with avid enhancement. Immunotherapy was initiated with improvement of non-epileptic spells and encephalopathy. Outpatient workup uncovered malignant pure seminoma with metastases to the retroperitoneum. The authors theorize that paraneoplastic neurological disorders stemming from testicular cancer led to the neurological symptoms seen in this case.ConclusionThis report highlights a rare occurrence of paraneoplastic limbic encephalitis associated with pure testicular seminoma, clinically manifested as PNES. The diagnostic challenge posed by variability of presenting symptoms in paraneoplastic encephalitis emphasizes the importance of accurate differentiation from conditions such as autoimmune encephalitis. Current diagnostic approaches for paraneoplastic and autoimmune etiologies involve detection of known antibodies, as well as brain imaging. Notable antibodies associated with psychogenic non-epileptic seizures symptoms include anti-GAD-65, anti-Ma2, KLH11-antibodies, anti-Hu, and NMDA receptor antibodies. Recognizing paraneoplastic limbic encephalitis symptoms is challenging and often leads to misdiagnosis or overlooking of malignancies highlighting the need for awareness, comprehensive evaluation and timely treatment. Through this comprehensive case analysis, we enhance the understanding of underlying mechanisms, associated symptoms, and treatment options.