Implementation Of Procedures Research Articles

An exploration of mock juror experience during the deliberations of a defendant diagnosed with a personality disorder

PurposeThe purpose of this study is to investigate how mock jurors’ experiences of deliberations are impacted by the defendant having a personality disorder.Design/methodology/approachThis study used a qualitative approach to explore mock jurors’ experiences during the deliberations of a fictional defendant, Sarah Priest. Ten participants formed two mock juries, and each mock jury were given two case studies to deliberate. Case study one described Priest as having “Severe Personality Disorder, Borderline Pattern” whereas case study two described Priest as having “Complex Mental Health Problems”. There were no changes to the content of the case studies aside from the change in language used to describe the defendant.FindingsAn inductive thematic analysis identified two main themes relating to juror experience: “Interaction with Other Mock Jurors” and “Language as a Barrier to a Verdict”. Participants constructed that prosocial interactions with other mock jurors in the deliberations helped them make a verdict decision, but some of these interactions led to disagreements between participants due to a wide variation of opinion. Second, the different description of the defendant in each case study were constructed to have made the deliberations and decision-making difficult, but for different reasons. In case study one, a lack of knowledge surrounding BPD was the reason for this difficulty, and in case study two, participants thought that the applicability of diminished responsibility criteria were unclear, making it hard to reach a verdict.Practical implicationsThe findings have key implications for the judicial system; common experiences can be identified and recorded to implement procedures to protect jurors from adverse experiences.Originality/valueThere is a lack of studies that have investigated juror experience in the UK, and the few studies available have used a quantitative methodology. The approach taken in the current study is, therefore, unique in a UK context. The findings have key implications for the judicial system; common experiences can be identified and recorded to implement procedures to protect jurors from adverse experiences.

A circle-based interface reconstruction algorithm based on the coupled volume-of-fluid and level set method

The interface tends to behave as a circular shape under the effect of surface tension in the two-dimensional two-phase fluid flow. In this study, based on the coupled volume-of-fluid and level set (VOSET) method, an accurate circle-based interface reconstruction (CIR) algorithm for structured meshes is proposed, which features a straightforward implementation procedure. A portion of the standard circle is employed to approximate the curve interface, without the need for complex classification, coordinate transformation, and equation transformation. The radius of this circle is computed simply by the curvature and signed distance at the mixed cell center, and the center of this circle is determined using a straightforward dichotomy method under the mass conservation constraints. Results indicate that the coupled VOSET and CIR (VOSET-CIR) method maintains superior computational accuracy in the signed distance, interface curvature, and dynamic interface reconstruction compared to the coupled VOSET and piecewise linear interface calculation (VOSET-PLIC) method, with accuracy improvements ranging from 34% to 1490% across different test cases. Furthermore, the VOSET-CIR method outperforms the efficient least squares volume-of-fluid interface reconstruction (ELVIRA) and PLIC algorithms in reconstructing random circles and surpasses the quadratic spline based interface reconstruction (QUASI) algorithm in reconstructing random squares. In terms of computational efficiency, except for the initial PLIC algorithm, the time costs of the VOSET-CIR method are substantially lower than those of the ELVIRA and QUASI algorithms, as well as the VOSET-PLIC method.

Implementation of Digital Faculty Portfolio in Medical College Using an Intervention Mapping Approach.

The Digital faculty portfolio (DFP) is a well-established Teaching Portfolio, a tool that combines student evaluations with teaching materials, narrative reflections, and evidence of pedagogical effectiveness. The research aimed to test the DFP concept and determine whether faculty find it useful for integrating faculty activities, including teaching and extracurricular activities. Thus, the main aim is to identify key technical details that must be addressed before creating a larger DFP platform. This research study adopted a six-step theory- and evidence-based approach of an Intervention Mapping (IM) protocol to assess the need for a DFP-like program at the College of Medicine, King Saud Abdulaziz University for Health Sciences and the efficacy of the pilot DFP program. The study was done in three steps: 1) Evaluation of educational needs; 2) Design of the "DFP" program; and 3) Validation and refinement of the designed program. The college conducted the needs assessment using a validated survey with full-time faculty members. Eighty-two survey participants comprised the sample. We described to them the DFP implementation procedure, design, and advantages. The DFP is valuable to most users (60%) and has inherent benefits that boost professional competency (80%). Nearly 73% were willing to keep using and/or updating their DFP periodically. The created program was validated by sharing the findings with designated specialists in health professions education. Based on their comments, the program was further refined and ready for piloting. To maximize the potential of the platform's success, its capabilities should be consistently enhanced in addition to resolving technical issues. This program has managed to effectively identify new avenues for working on enhancing methods for effective communication, coordination and enhance the scope of evaluation process.

Long-term outcomes and quality of life following implementation of dedicated mitral valve Heart Team decisions for patients with severe mitral valve regurgitation in tertiary cardiovascular care center.

This study was purposed to investigate which treatment strategy was associated with the most favourable prognosis for patients with severe mitral regurgitation (MR) following Heart Team (HT)-decisions implementation. In this retrospective study, long-term outcomes of patients with severe MR qualified after HT discussion to: optimal medical treatment (OMT) alone, OMT and MitraClip (MC) procedure or OMT and mitral valve replacement (MVR) were evaluated. The primary endpoint was defined as cardiovascular (CV) death and the secondary endpoints included all-cause mortality, myocardial infarctions (MI), strokes, hospitalizations for heart failure exacerbation and CV events during a mean (standard deviation [SD]) follow-up of 29 (15) months. From 2016 to 2019, 176 HT meetings were held and a total of 157 participants (mean age [SD] = 71.0 [9.2], 63.7% male) with severe MR and completely implemented HT decisions (OMT, MC or MVR for 53, 58 and 46 patients, respectively) were included into final analysis. Comparing OMT, MC and MVR groups statistically significant differences between the implemented procedures and occurrence of primary and secondary endpoints with the most frequent in OMT-group were observed (p < 0.05). However, for interventional strategy MC was non-inferior to MVR for all endpoints (p > 0.05). General health status assessed at the end of follow-up were significantly the lowest for MVR, then for MC and the highest for OMT-group (p < 0.01). In the present study it was demonstrated that after careful HT evaluation of patients with severe MR at high risk of surgery, percutaneous strategy (MC) can be considered as equivalent to surgical treatment (MVR) with non-inferior outcomes.

Ontological basis of the creative accounting phenomenon as a financial misstatement

PurposeThis article aims to contribute to the accounting knowledge literature by presenting the framework of creative accounting factors and evaluating their identified factors through an argumentation-based total interpretive structural modeling (TISM) approach.Design/methodology/approachThis study adopted mixed, inductive and deductive approaches to develop an integrated framework, validate its practicability and verify its effectiveness in selected manufacturing firms listed on the Tehran Stock Exchange (TSE), respectively. In developing the framework and implementation procedure, the study employed an exploratory data collection (qualitative) approach to review the phenomenon of creative accounting factors. Then, in this study’s second phase, TISM is used to develop the framework of creative accounting design. This study used two types of theoretical sampling in the qualitative part, including theoretical and snowball sampling. Also, the participants in the TISM process in this study were specialized analysts of the TSE.FindingsBased on the mixed method of this study, the result in the qualitative part provides the creative accounting framework of the existence of three categories. There are 6 components and 35 themes during 12 interviews. In the quantitative section, it was determined that two factors, namely the type of ownership firms and intrinsic objectivity, are the most effective drivers for the formation of creative accounting in TSE firms.Originality/valueSo far, it is rare to find preceding studies that have proposed, validated and practically tested an integrated creative accounting framework within the context of financial markets. Thus, the authors understand that this is the very first research focused on the development of a framework for capital market companies to continuously be competitive and could help financial decision-makers, practitioners and academicians in their perception of knowing more about the financial functions of firms.

Pemanfaatan Briket Arang Kulit Pinang sebagai Bahan Bakar Alternatif di Desa Rumah Galuh, Kec Sei Bingai, Kab Langkat

Fuel oil, coal and gas are some of the energy sources that are widely used by the people of Indonesia. Charcoal briket are a biomass energy source that is biodegradable and environmentally friendly which is one of the alternative fuels. The basic material for making briket charcoal consists of various materials such as agricultural, plantation, and household waste. One of the agricultural commodities of the community of Rumah Galuh Village, Sei Bungai District, Langkat Regency is areca nut. Solid waste in the form of areca nut peel has the potential to be used in briket making materials that can increase the use and economic value of the waste. The implementation procedure starts from burning, grinding, sieving, making adhesives, making dough, molding, drying briket, to testing briket, then socialization to the community. As the ultimate goal of Community Service, with this activity, areca nut skin waste which is usually only burned can be used as goods of economic value, providing education to the community regarding the use of areca nut skin waste into charcoal briket so that in the future it can increase the income of the people of Rumah Galuh Village.

Performance, Energy Consumption and Costs: A Comparative Analysis of Automatic Text Classification Approaches in the Legal Domain

The common practice in Machine Learning research is to evaluate the top-performing models based on their performance. However, this often leads to overlooking other crucial aspects that should be given careful consideration. In some cases, the performance differences between various approaches may be insignificant, whereas factors like production costs, energy consumption, and carbon footprint should be taken into account. Large Language Models (LLMs) are widely used in academia and industry to address NLP problems. In this study, we present a comprehensive quantitative comparison between traditional approaches (SVM-based) and more recent approaches such as LLM (BERT family models) and generative models (GPT2 and LLAMA2), using the LexGLUE benchmark. Our evaluation takes into account not only performance parameters (standard indices), but also alternative measures such as timing, energy consumption and costs, which collectively contribute to the carbon footprint. To ensure a complete analysis, we separately considered the prototyping phase (which involves model selection through training-validation-test iterations) and the in-production phases. These phases follow distinct implementation procedures and require different resources. The results indicate that simpler algorithms often achieve performance levels similar to those of complex models (LLM and generative models), consuming much less energy and requiring fewer resources. These findings suggest that companies should consider additional considerations when choosing machine learning (ML) solutions. The analysis also demonstrates that it is increasingly necessary for the scientific world to also begin to consider aspects of energy consumption in model evaluations, in order to be able to give real meaning to the results obtained using standard metrics (Precision, Recall, F1 and so on).

Eğitim Aktivite Uygulamalarının Pratik Evrimi

Due to the wide variety of socio-economic conditions of the policies applied in the educational management processes, as well as the diversity of the educational policies themselves, it is not possible to determine the most appropriate implementation procedures. During the development of educational activities, problem issues in education do not arise suddenly and spontaneously. In many cases, uncovering an issue, dramatizing it, drawing attention to it, and communicating the issue to the public and pressuring decision makers to do something about it are important strategic tactics. Educational activity applications require the cooperation of different institutions. The fact that each institution fulfills its own responsibility and the necessary cooperation between institutions will increase the effectiveness of the application. The plans to be made should be developed so that students and families are aware of the goals of a new initiative so that communities learn the benefits of acting together. In the plan, funds, physical objects and human resources should be arranged clearly and in detail so that there is no doubt who will do when, how and what, physical resources, the contents of possible lists should be placed and it should be ensured that they are available. Financial resources for possible use should be placed in appropriate places to minimize the delay of implementation, and the personnel necessary to put the plan into effect should be made available only for this work, without any other work. Programs should also be developed for teachers, education administrators and those who represent them. Since new initiatives usually mean some form of redefining jobs, it is important that educators see this as useful, and those who oppose change should be isolated here. The personnel to be selected for the success of the application must meet the conditions required for the application. In other words, the personnel selected by the policy should be compatible with each other. The technical knowledge necessary to guide the application of sociopolitical education should be learned by those who will do this job, and the administrative systems guided by sociopolitical education should be clearly structured. Key Words: Education, Education Management, Educational Activity Applications

From Pixels to Precision: A Survey of Monocular Visual Odometry in Digital Twin Applications.

This survey provides a comprehensive overview of traditional techniques and deep learning-based methodologies for monocular visual odometry (VO), with a focus on displacement measurement applications. This paper outlines the fundamental concepts and general procedures for VO implementation, including feature detection, tracking, motion estimation, triangulation, and trajectory estimation. This paper also explores the research challenges inherent in VO implementation, including scale estimation and ground plane considerations. The scientific literature is rife with diverse methodologies aiming to overcome these challenges, particularly focusing on the problem of accurate scale estimation. This issue has been typically addressed through the reliance on knowledge regarding the height of the camera from the ground plane and the evaluation of feature movements on that plane. Alternatively, some approaches have utilized additional tools, such as LiDAR or depth sensors. This survey of approaches concludes with a discussion of future research challenges and opportunities in the field of monocular visual odometry.

A full‐probabilistic cloud analysis for structural seismic fragility via decoupled M‐PDEM

AbstractPerformance‐based earthquake engineering (PBEE) is essential for ensuring engineering safety. Conducting seismic fragility analysis within this framework is imperative. Existing methods for seismic fragility analysis often rely heavily on double loop reanalysis and empirical data fitting, leading to challenges in obtaining high‐precision results with a limited number of representative structural analysis instances. In this context, a new methodology for seismic fragility based on a full‐probabilistic cloud analysis is proposed via the decoupled multi‐probability density evolution method (M‐PDEM). In the proposed method, the assumption of a log‐normal distribution is not required. According to the random event description of the principle of preservation of probability, the transient probability density functions (PDFs) of intensity measure (IM) and engineering demand parameter (EDP), as key response quantities of the seismic‐structural system, are governed by one‐dimensional Li‐Chen equations, where the physics‐driven forces are determined by representative analysis data of the stochastic dynamic system. By generating ground motions based on representative points of basic random variables and performing structural dynamic analysis, the decoupled M‐PDEM is employed to solve the one‐dimensional Li‐Chen equations. This yields the joint PDF of IM and EDP, as well as the conditional PDF of EDP given IM, resulting in seismic fragility analysis outcomes. The numerical implementation procedure is elaborated in detail, and validation is performed using a six‐story nonlinear reinforced concrete (RC) frame subjected to non‐stationary stochastic ground motions. Comparative analysis against Monte Carlo simulation (MCS) and traditional cloud analysis based on least squares regression (LSR) reveals that the proposed method achieves higher computational precision at comparable structural analysis costs. By directly solving the physics‐driven Li‐Chen equations, the method provides the full‐probabilistic joint information of IM and EDP required for cloud analysis, surpassing the accuracy achieved by traditional methods based on statistical moment fitting and empirical distribution assumptions.

The hedonic price model for the wine market: A systematic and comparative review of the literature

AbstractThis paper carries out a thorough review of the literature on the estimation of hedonic price functions in the wine market, compiling and carefully documenting all research work on the subject. The review analyses the main methodological decisions taken by the different authors, as well as the typology of the available databases: identification of the relevant market, specification of the price function, sources and types of prices, econometric methodology, and type of publication. The variance decomposition analysis of the Adjusted‐R‐squared values from the estimated hedonic price functions suggests that attribute selection, the definition of the product market, the characteristics of information sources, and the implemented econometric procedures are the most relevant factors in explaining the models’ explanatory power.

Socio-cultural Challenges Faced by People with Physical Disabilities

This qualitative study explores the challenges and the problems faced by people with physical disabilities in Nepal's cultural and social systems. In-depth interviews were conducted with eighteen participants living with physical disabilities in Kathmandu. Findings reveal significant challenges arising from exclusive social traditions, discrimination based on physical impairments, inaccessible infrastructure, and prejudiced social practices. These challenges hinder educational and employment opportunities, exacerbating vulnerability and exclusion from the mainstream socio-cultural system. The study also highlights limitations in government policies and programs, with poor implementation and cumbersome procedures leading to inadequate benefits for people with disabilities. Prejudiced social practices, discrimination, and inaccessible infrastructure further impede day-to-day activities, education, and employment, deepening vulnerability and marginalization. Institutional barriers within Nepali socio-cultural practices perpetuate the labeling of individuals with disabilities as incompetent and deficient, marginalizing their inclusion in social and cultural systems. Addressing these challenges requires comprehensive interventions promoting inclusivity and accessibility.

A peer veteran approach to the caring letters suicide prevention program: Preliminary data.

Caring Letters is a prevention program aimed at reducing suicide risk; however, clinical trials indicate mixed results among military and veteran samples. The present study aimed to pilot a new version of the Caring Letters intervention that was adapted to military culture in order to emphasize peer support. The supportive letters, traditionally sent from clinicians, were written by peer veterans (PVs) who volunteered from local Veteran Service Organizations (VSOs). PVs (n = 15) attended a 4-hr workshop to learn about Caring Letters and write six letters to a veteran with a recent hospitalization for suicide risk (hospitalized veterans [HVs]; n = 15 completed a baseline assessment). Letters from PVs were sent to HVs once a month for 6 months following discharge from the psychiatric inpatient unit. The study used a limited efficacy approach to examine feasibility outcomes including implementation procedures, participant recruitment and retention rates, and barriers and facilitators. Acceptability measures examined HV satisfaction, perceived privacy and safety, and PV workshop satisfaction. Among HVs, results suggested that suicidal ideation improved from baseline to follow-up (g = 3.19). Results suggested resilience scores improved among HVs (g = 0.99). Results also suggested a possible reduction in stigma associated with mental health treatment among PVs at 1-month postworkshop assessment. Interpretation of the results is limited by the design and sample size, but the results provide preliminary support for the feasibility and acceptability of a PV approach to Caring Letters. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Application of Big Data Technology in Audit

In the new era of rapid development of big data technology, the three key points of high-quality development of auditing are auditing talents, auditing rule of law and auditing technology. In the traditional audit process, auditors focus on professional judgment and professional competence, make audit plans, implement audit procedures and draw audit conclusions. However, there are many problems in traditional audit work, such as difficulty in obtaining sufficient external information and inefficiency in analyzing audit evidence. Therefore, auditors apply big data technology to audit work to solve various problems and put forward corresponding safeguard measures.

Analisis Penerapan Tax Planning PPH 21 Sebagai Upaya Meningkatkan Efisiensi Pajak Penghasilan Badan

Taxes have a central role in state revenue to finance government spending and development. Public awareness as taxpayers is an important aspect in securing state revenue. Tax planning as a strategy to optimize company tax obligations. Implementation of tax planning (Tax Planning) can use several methods such as the Gross Up Method, Gross Method, and Nett Method.This research was conducted at the Bangun Jaya Bersama Cooperative in Blitar City, East Java. Because this company has not implemented special procedures for PPh article 21, and the research aims to analyze how implementing tax planning strategies can increase the efficiency of corporate income tax in cooperatives. The results of tax planning research to increase corporate income tax tax efficiency show that the Nett Method is better than the Gross Method and Gross up Method. This is based on data obtained by the Nett Method which is more profitable for the company, the efficiency obtained is 1.48%.

Improved Soft-Skill Competencies of ABA Professionals Following Training and Coaching: A Feasibility Study

The field of applied behavior analysis currently faces critique regarding the need for increased compassion and interprofessional collaboration training toward culturally and emotionally responsive practice. Mindful self-compassion is evidenced to improve self-compassion and compassion. The purpose of the current study was to improve soft-skill competencies in collaboration and compassion of behavior analytic professionals. In this feasibility study, two cohorts of American behavior analytic professionals (N = 24) received a 4-month training-and-coaching sequence, with a pre-program focus group serving as the program’s needs assessment. The Interprofessional Collaborative Competency Attainment Survey and Self-Compassion Scale, Short Form were administered pre- and post-intervention to ascertain program effectiveness, alongside open-ended survey questions. Training included experiential learning opportunities in small groups, with participants practicing self-compassion and collaboration skills. Coaching included additional individual practice opportunities. Pre- and post-whole test scores were significantly different on both instruments, with p set at .05, demonstrating preliminary effectiveness. Significance on paired-sample t-test for the Interprofessional Collaborative Competency Attainment Survey whole score fell at <.001, while for the Self-Compassion Scale, Short Form, it fell at .004. While prior studies have demonstrated the need for collaboration and compassion training within the ABA workforce, the current study reports on an implementation procedure to improve upon these skill sets, addressing a noted gap. Furthermore, the current study operationalizes collaboration alongside self-compassion, demonstrating the importance of centering collaborative practice within soft-skill awareness and competency. Future research can incorporate direct measures of these skill sets.

Public Policy Management through the Program Keluarga Harapan (PKH) in Realizing Equal Primary and Secondary Education in Bandung Regency

Education is something that is very essential in the process of humanizing a cultured society. In other words, everyone in this world has the right to educate according to his abilities. However, in reality, note all children have received education. The purpose of this study was to determine the Program Keluarga Harapan (PKH) in realizing equal distribution of primary and secondary education for the community. This study used a qualitative descriptive method with data collection techniques used were observation, interviews, and documentation studies. Based on the research results, it is obtained that the description of the Program Keluarga Harapan (PKH) in realizing equal distribution of primary and secondary education can be conveyed: 1) The PKH program is a planned, measured, directed activity by planning, organizing, implementing, evaluating and following up in an effort to realize equitable primary and secondary education; 2) The PKH program has been running in accordance with the implementation procedure, fulfilling the rights and obligations of program recipients as well as the follow-up of program implementation. 3) the obstacle is the lack of understanding of PKH program recipients and local officials about the PKH program implementation procedures and the low motivation of PKH recipients to continue their education to a higher level. 4). The step in coming is to coordinate with the village government, sub-district coordinators and supervision in providing understanding and education about the PKH program and providing motivation to PKH recipients about the importance of education.

Prerequisite for implementation of judicial control over the enforcement of judgments in Ukraine

Since the declaration of Ukraine’s independence, the system of enforcement judgments has undergone significant changes, which were caused by changes in the social order in the country and new challenges. The judicial control over the enforcement of judgments in Ukraine was implemented in a non- systematic manner, which led to its low efficiency.&#x0D; To solve the set goal, which was set during the introduction of judicial control over the enforcement of judgments, this article examines the prerequisites for the introduction of judicial control over the enforcement of judgments in Ukraine.&#x0D; Conditional division of the prerequisites for the introduction of judicial control over the enforcement of judgments into historical, legal and economic ones has been carried out.&#x0D; The historical prerequisites for the introduction of judicial control over the enforcement of judgments include the validity of Soviet legislation after the declaration of independence of Ukraine, which provided for control by a judge over the correct and timely enforcement of a court decision, that is, the actual exercise of judicial control over the enforcement of judgments.&#x0D; The legal prerequisites for the introduction of judicial control over the enforcement of judgments include the issuance of many decisions of the European Court of Human Rights and decisions of the Committee of Ministers of the Council of Europe, which stated the systematic non-implementation of national court decisions, as well as the existence of a structural problem in Ukraine regarding the non­implementation of decisions of national judicial bodies.&#x0D; The economic prerequisites for the introduction of judicial control over the enforcement of judgments include a negative assessment by Ukrainian entrepreneurs of the effectiveness and duration of enforcement judgments, Ukraine’s undertaking to reform the system of enforcement judgments to improve the conditions of doing business in the country, foreign economic relations with other countries, attracting investments, the conclusion of other economic agreements.&#x0D; Determining the prerequisites for the introduction of the institution of judicial control over the enforcement of judgments gives a clear answer to the purpose of the introduction of this institution, as well as ways to improve the procedure and forms of implementation, which requires more detailed research.

Female mice prenatally exposed to valproic acid exhibit complex and prolonged social behavior deficits

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized mainly by deficits in social communication and stereotyped and restricted behavior and interests with a male to female bias of 4.2/1. Social behavior in ASD animal models is commonly analyzed in males, and seldomly in females, using the widely implemented three-chambers test procedure. Here, we implemented a novel procedure, the Live Mouse Tracker (LMT), combining artificial intelligence, machine learning procedures and behavioral measures. We used it on mice that were prenatally exposed to valproic acid (VPA) (450 mg/kg) at embryonic day 12.5, a widely recognized and potent ASD model that we had previously extensively characterized. We focused on female mice offspring, in which social deficits have been rarely documented when using the 3-CT procedure. We recorded several parameters related to social behavior in these mice, continuously for three days in groups of four female mice. Comparisons were made on groups of 4 female mice with the same treatment (4 saline or 4 VPA) or with different treatments (3 saline and 1 VPA). We report that VPA females show several types of social deficits, which are different in nature and magnitude in relation with time. When VPA mice were placed in the LMT alongside saline mice, their social deficits showed significant improvement as early as 1 h from the start of the experiment, lasting up to 3 days throughout the duration of the experiment. Our findings suggest that ASD may be underdiagnosed in females. They also imply that ASD-related social deficits can be ameliorated by the presence of typical individuals.

A global perspective: characteristics of infertility-related randomized clinical trials.

Infertility is a prevalent global condition, and emerging reproductive technologies may enhance its evaluation and treatment. Understanding the current features of randomized clinical trials in infertility is crucial for improving study design and ensuring the translation of results for patient benefits. To investigate the primary characteristics of randomized clinical trials related to infertility and areas where require improvement. We conducted a search on the International Clinical Trials Registry platform for eligible infertility trials between 2003 and 2022. The distribution ratio of various characteristics uploaded by infertility-related studies on the platform was analyzed and compared according to sex and registration year. Out of the total trials, 85.3% (1,906) included only women, 8.6% (192) included only men, and 6.1% (136) included couples. The majority of retrieved trials followed a parallel arm design (91.0%) and were non-industry-funded (92.2%), with a median planned sample size of 131 patients (interquartile range 75-270). Among these trials, 54.5% (1,217) were conducted in Asia. The most common primary purpose of infertility-related trials was treatment (88.8%), with over half of the investigated interventions focusing on medication (57.9%). Asia is the leading region for research, and the drug therapy is still widely used and updated. However, support care for infertile couples has also received some preference. Areas that require improvement and promotion include addressing male infertility and focusing on underserved regions like Africa. The results also highlight deficiencies in trial registration and masking methods, emphasizing the need for better regulation and facilitation of infertility trials in the post-COVID-19 era. Based on the current status of infertility RCT studies, greater attention should be paid to infertile men and populations in underdeveloped regions like Africa in future studies, together with a standardized registration and implementation procedures.