Suitable Criteria Research Articles

Qualification of an enzyme-linked immunosorbent assay for quantification of anti-Vi IgG in human sera.

Effective vaccines against Salmonella Typhi, targeting the Vi capsular polysaccharide, have been developed and are being introduced into routine immunization in endemic countries. Vi conjugated vaccines are also being tested in new multi-component vaccine formulations. Simple, high-throughput and cost-effective assays to quantify Vi-specific IgG in clinical sera are needed. In this study we present the development and qualification of a new anti-Vi ELISA with continuous readout, which expresses results as ELISA Unit/mL (EU/mL). We have qualified the assay in terms of precision, linearity and specificity, demonstrating performance in line with a commercially available anti-Vi ELISA. We have also calibrated the assay against the 16/138 anti-Vi international standard and established conversion factor between EU/mL and international units/mL, to allow comparability of results across studies. In summary, this new assay met all the suitability criteria and is being used to evaluate anti-Vi responses in clinical studies.

MAIN TRENDS IN THE USE OF UNMANNED AIRCRAFT IN THE RUSSIAN-UKRAINIAN WAR

One of the features of the russian-ukrainian war was the widespread and rapid use of unmanned aerial vehicles (UAVs). Today, the range of tasks solved with their help is constantly expanding. Mainly – during independent combat work with the possible use of them both in automated troop control systems and autonomously as means of reconnaissance, conducting radio-electronic warfare or for air strikes, as well as means of targeting for high-precision weapons systems, relaying in communication systems "link". The article reviews the development of technologies for the use of UAVs during the large-scale invasion of the armed forces of the russian federation on the territory of Ukraine. A brief description of some Ukrainian-made UAVs has been determined. The most important parameters that must be taken into account before flying a multi- rotor UAV and the methods of their calculation are specified. The further course of events on the battlefield is predicted, taking into account the development of both UAVs and means of radio-electronic warfare. It is suggested that when choosing a rational option for the use of UAVs by the Defense Forces, they should use suitability criteria and mathematical expectation of loss of the combat potential of the enemy's group of troops (forces), taking into account complex radio-electronic conditions. Further research should be directed to the solution of practical tasks of implementing group control in the management of UAVs, which leads to an increase in the efficiency of UAV use. The application of swarms of unmanned systems has extremely high potential for effective execution of reconnaissance and reconnaissance-strike tasks on the battlefield. An important issue in the practical application of UAV swarms is the creation of specialized software for management and control.

Day case laparoscopic cholecystectomy: a review of patient selection factors and identification of potential barriers to same-day discharge.

Day-case laparoscopic cholecystectomy (DCLC) is a useful tool for minimizing hospital admissions and prolonged presurgical wait times in suitable patient cohorts. There have been many international studies to support this finding and an increasing interest has grown in implementation in Australia. This review aims to provide clarity how to best implement this tool in gallbladder disease patient demographic. This literature review evaluates studies on day-case cholecystectomy procedures, focusing on patient factors, procedural aspects, surgical morbidity, and systemic implications. It explores inclusion and exclusion criteria for day-case suitability, factors influencing same-day discharge, reasons for hospital admission, pain management, patient quality of life, patient satisfaction, and cost implications. DCLC, when selected judiciously, is a safe alternative to overnight stay procedures for cholecystectomy with comparable surgical outcomes and patient satisfaction, affirming its viability. Strict patient selection criteria can aid in optimizing the successful implementation procedure, reducing unexpected admissions and readmissions and we have demonstrated useful criteria for guidance in establishing day-case laparoscopic cholecystectomy protocol at a hospital.

Advances in mass spectrometry for metabolomics: Strategies, challenges, and innovations in disease biomarker discovery.

Mass spectrometry (MS) plays a crucial role in metabolomics, especially in the discovery of disease biomarkers. This review outlines strategies for identifying metabolites, emphasizing precise and detailed use of MS techniques. It explores various methods for quantification, discusses challenges encountered, and examines recent breakthroughs in biomarker discovery. In the field of diagnostics, MS has revolutionized approaches by enabling a deeper understanding of tissue-specific metabolic changes associated with disease. The reliability of results is ensured through robust experimental design and stringent system suitability criteria. In the past, data quality, standardization, and reproducibility were often overlooked despite their significant impact on MS-based metabolomics. Progress in this field heavily depends on continuous training and education. The review also highlights the emergence of innovative MS technologies and methodologies. MS has the potential to transform our understanding of metabolic landscapes, which is crucial for disease biomarker discovery. This article serves as an invaluable resource for researchers in metabolomics, presenting fresh perspectives and advancements that propels the field forward.

Novel decision making approach for sustainable renewable energy resources with cloud fuzzy numbers

Decision making approaches depending on the assessments of individual decision makers produce inaccurate results due to the existence of multiple uncertainties. To model intrapersonal uncertainty, interpersonal uncertainty and randomness in decision making assessments, this research study proposes a novel approach by integrating linear and non-linear type of fuzzy numbers with cloud model theory using novel technique of computing entropy of these fuzzy numbers. A novel mathematical model known as cloud fuzzy numbers is introduced using the concepts of fuzzy numbers and cloud theory. The self-evaluated relative weights of experts are computed using a non-linear optimization method which is based on maximum deviation method and Lagrange multipliers of cloud fuzzy numbers. The new cloud fuzzy numbers are then combined with CODAS (combinative distance based assessment) approach that is based on the largest Euclidean and Taxicab distances for the selection of suitable criteria. Firstly, the linguistics evaluations are converted into the fuzzy numbers and then cloud fuzzy numbers using formulae of expectation and entropy ensuring that the obtained interval cloud values follows a normal distribution. Secondly, the cloud fuzzy weighted arithmetic averaging operator is used to aggregate cloud fuzzy numbers using the self-evaluated fuzzy weights Thirdly, the assessment score is determined to rank the alternatives by computing the distance between normalized weighted matrix and the negative ideal solution. Finally, a case study is discussed for the selection of best renewable energy resource in Turkey to elaborate the significance of the proposed research. The convergence and accuracy of the proposed model is proved with certain mathematical and theoretical results.

Educational robotics and primary school mathematics teaching: An analysis of pre-service teachers didactic-mathematical knowledge

The scarcity of studies dedicated to the integration of educational robotics (ER) in teaching mathematical content, and the discomfort of teachers when integrating ER in their teaching practices make it pertinent to understand the development of the didactic knowledge of mathematics necessary to integrate ER in mathematics teaching practices during initial teacher training. This qualitative and interpretive study identifies the knowledge of the didactic dimension from the didactic-mathematical knowledge conceptual framework that is mobilized by pre-service teachers (PST) during the implementation of mathematical tasks that integrate ER during the practicum. Through content analysis of the data collected on the PST’s performance, we mapped the occurrence and co-occurrence based on the components of the didactic suitability criteria. From the results, we highlight: (i) the existence of a relationship between the mathematical knowledge needed to teach, knowledge of the mathematics curriculum, and knowledge of ER and how its integration in the teaching process can influence the learning process and (ii) the positive contribution of the implementation in the practicum of mathematical tasks that promote robot manipulation/programming at the same time as the exploration of the mathematical content for the development of the participants’ didactic knowledge of mathematics. A practical implication of our results is that these features should be part of future work dedicated to integrating ER in mathematics teaching practices of PST, aiming to assess their value in initial teacher training programs.

Assessment of the Influence of Input Parameters in CFD Simulation of Ventilation in an Experimental Chamber

Abstract The aim of this paper is to evaluate the impact of selected input parameters on the accuracy and usability of CFD simulations. This paper compares the achieved results of Computational Fluid Dynamics (hereinafter CFD) simulations of air age with the ventilation results of a specific experimental box. A total of 16 variants were simulated for different simulation settings, including various computational domains and meshes in OpenFOAM, Ansys Fluent, DesignBuilder, and BlueCFD-AIR software. The paper primarily focuses on the importance of meeting the suitability criterion for the yPlus parameter used in the wall function of turbulent models k-ε and k-ω SST, and the resulting air age. Simulation with the best yPlus parameter shows the best agreement in airflow velocity and air age with the experiment. Overall, this led to an improvement in accuracy by 41 % compared to original simulation and 56 % compared to the previous our best OpenFOAM simulation.

Optimal cut-off values of the active knee extension test for diagnosing hamstring tightness

BackgroundActive knee extension (AKE) is widely used to assess hamstring length, and an 'AKE >20°' is often used as the criterion for diagnosing tightness. However, the scientific evidence for this is unclear. ObjectiveThis study measured and analysed AKE according to sex in two groups with different exercise participation levels to identify the appropriateness of current criteria. MethodsIn the supine position, 90° flexion of the hip and knee joints was performed. The maximal knee extension was measured using a goniometer. Cut-off values for diagnosing hamstring tightness were calculated in three different ways as 'mean-1SD', 'mean-2SD', and 'mean-3SD'. ResultsThere were significant differences in AKE between groups and between sexes. In group A, representing normal healthy adults, cut-off values defined as mean-1SD and mean-2SD were 33.5° and 19.7° in male participants and 28.0° and 15.7° in female participants, respectively. There was a weak correlation between AKE and body mass index, but not between AKE and height and between AKE and weight. ConclusionThis study found that the level of exercise participation significantly affects AKE, and female participants consistently had high flexibility regardless of exercise participation. Therefore, the current cut-off value, widely used in research and clinical settings, may not be a suitable criterion for diagnosing hamstring tightness.

Assessing genotypic diversity by multivariate analysis and predicting useful selection ranges using decision tree in soybean (Glycine max L.)

The existence of sufficient genetic variability and knowing the suitable selection criterion ranges are indispensable requirements of breeding studies. This study aimed to explore genetic diversity in ten F2 populations (heterozygous–heterogeneous), five parents, and three commercial check cultivars by multivariate methods and to predict useful selection ranges using a decision tree model for further breeding studies. Hybridizations were made in 2019, F1 populations were grown, and F2 seeds were obtained in 2020. Genotypes were grown according to an Augmented Randomized Complete-Block Design in 2021 at Aydın Adnan Menderes University Faculty of Agriculture. Results revealed considerable genetic diversity and transgressive segregation in key characteristics across the F2 populations. Seed yields of F2 plants are higher than those of the parents. The seed protein and oil content of the F2 plants were not different from the parents and commercial checks. Higher phenotypic than genotypic variance indicated a high influence of environment on the inheritance of all studied characteristics. The highest broad heritability was observed in the number of shattered pods per plant (94.81 %) and the lowest in infertile pods per plant (2.16 %). Seed yield showed a significant and positive genotypic correlation with the number of fertile pods per plant (0.61**) and a significant negative association with the number of fertile branches per plant (−0.53**). Principal component analysis (PCA) of 14 quantitative characteristics showed that soybean genotypes separated by the first four components contributed 71.12 % of total genetic variation, with important yield-attributing characteristics present in PC1 and PC3, while important seed quality characteristics were noted in PC2. The decision tree model indicated that genotypes with high yield and optimum quality could be obtained by selecting the number of fertile pods 87–119 per plant and a hundred-seed weight greater than 14.55 g.

Testing the Construct Validity and Reliability of the Student Learning Interest Scale Using Confirmatory Factor Analysis (CFA)

Learning interest is one of the determining factors of student learning success. The low interest of students in learning process is caused by several problems that occur. Thus, learning interest is very important in learning progress, namely to bring out students' interest and activeness in learning. To support learning and increase students' interest in learning, teachers should not only master the material but also create interesting learning to help arouse curiosity, enjoyment and interest in learning in them. This study aims to test the validity and reliability of the construct of the developed learning interest scale. A researcher needs 250 to 500 respondents. This study involved 300 random samples of fifth grade elementary school students in Berbah District, Sleman, Yogyakarta, Indonesia. Data were analyzed with second-order confirmatory factors assisted by IBM SPSS version 26 software. This study measures the validity and reliability of elementary school students' interest in learning science. So the data analysis in this study measures validity and reliability. So this study uses second order confirmatory factor analysis (nd order CFA). The results showed that the developed learning interest scale had met the criteria of suitability, convergent validity, discriminant validity, construct reliability. Therefore, the developed scale is feasible to use.

Integrated simulation method and experimental validation for the vacuum induction melting process

In Vacuum Induction Melting (VIM), reduction of defects such as porosity and cracking is critical to improve electrode integrity. Traditional simulation method ignores the temperature drop of liquid metal as it passes through the tundish, leading to inaccuracies in predicting the solidification process in the mold. Additionally, the crack of ingot may occur during demolding process, which is always overlooked. This paper presents an integrated simulation method that includes the flow model of liquid metal in the tundish, as well as the solidification model and the stress model of ingot in the mold. Based on these models, the criterion for demolding time is established based on First and Fourth Strength Theories. The entire VIM process from pouring to demolding can be analyzed comprehensively through this simulation method. The method is validated by 500 kg Inconel 718 VIM trial including the temperature measurement of outer mold wall, the height measurement of liquid metal in the tundish and longitudinal sectioned experiment of ingot. The suitable criteria for porosity of 500 kg Inconel 718 ingot, including shrinkage porosity and shrinkage cavity, have been found to be the Niyama criterion threshold of 15 K0.5s0.5cm−1 and Classical porosity model. Finally, the impact of each process parameter on porosity and demolding time is studied through this method for 500 kg Inconel 718 ingot. This method is not only applied to 500 kg ingot but also to larger ingot, thereby providing a basis for the VIM process optimization.

Longitudinal objective assessment of speech in Multiple Sclerosis

BackgroundRemote objective tests may supplement in-clinic examination to better inform treatment decisions. Previous cross-sectional studies presented objective speech metrics as potential markers of Multiple Sclerosis (MS) disease progression. ObjectiveTo examine the short-term stability and long-term sensitivity of speech metrics to MS progression. MethodsWe prospectively recorded speech from people with MS at baseline, six, twelve weeks, and at ten months or longer after baseline (1y+). Only people with a definite diagnosis of MS and without other potential causes of dysarthria were included. Speech tasks comprehended 1) a sustained vowel /a/, 2) saying the days of the week, 3) repeating the non-word pa-ta-ka multiple times as fast as possible, 4) reading the Grandfather Passage, and 5) telling a personal story. We selected speech metrics of interest according to their association with MS presence, correlation with general disability, and short-term metric stability in the absence of disease progression. Selected speech metrics were analysed for short- versus long-term changes in the whole MS cohort and in the clinically stable versus progression subgroups at 1y+. ResultsSixty-nine people with MS participated (76.8 % female, age mean 47.5 ± 11.1 SD, EDSS median 3.5, interquartile range 3.5). Twenty-six unique speech metrics satisfied the suitability criteria. On average, reading rate improved 3.5 % for all people with MS and 6.5 % for slow readers with MS from baseline to the six-week, driven by a reduction in pauses. At 1y+, participants showed a 3.1 % average reduction in vocalization time during the reading task, which was similar in the progression (n = 29) and non-progression (n = 40) groups and thus unrelated to disease progression. Both findings are in the opposite direction of what would be generally expected for deterioration in speech performance and might be attributable to familiarity and training effects. Other speech metrics showed either negligible change or a similar variability between short-term and long-term differences. ConclusionMost individual long-term changes were small and within short-term variability intervals, irrespective of clinical disease progression. Familiarity and practice effects might have blunted the measurement of change. The present lack of longitudinal sensitivity of speech in MS contradicts previous cross-sectional findings and requires further investigation.

Is endovascular arteriovenous fistula a feasible alternative for hemodialysis patients?

For hemodialysis (HD) patients, the selection of vascular access (VA) is a crucial factor that significantly affects morbidity and mortality. Historically, native Arteriovenous Fistulas (AVFs) have been established using surgical techniques. However, devices facilitating percutaneous endovascular arteriovenous fistula formation have recently been introduced in clinical practice, showing promising initial evidence. The primary objectives were technical success, efficacy, and cannulation rates. The secondary objectives included primary and cumulative patency, safety, and the number of procedures required to maintain fistula patency. A prospective, single-center, single-arm study that included all patients who underwent endovascular arteriovenous fistulas (endoAVF) creation using the WavelinQ™ EndoAVF System at a University Hospital between December 2021 and August 2023. A total of 20 patients who underwent an endoAVF were included. Technical success was 100%. 75% (15) of the endoAVFs met the criteria for physiological suitability. The cannulation rate was 66% (10/15) for endoAVFs that reached physiological suitability. At 6 months of follow-up, the primary and cumulative patency rates were 65% and 75%, respectively; at 12 months, these were 50% and 70%, respectively. Serious adverse events were not observed. The reintervention rate was 0.33 procedures/patient-year. Based on our experience, creating AVFs using the WavelinQ 4-F EndoAVF system is safe and effective, with high technical success rates and acceptable patency and reintervention rates.

A systematic literature review for load balancing and task scheduling techniques in cloud computing

Cloud computing is an emerging technology composed of several key components that work together to create a seamless network of interconnected devices. These interconnected devices, such as sensors, routers, smartphones, and smart appliances, are the foundation of the Internet of Everything (IoE). Huge volumes of data generated by IoE devices are processed and accumulated in the cloud, allowing for real-time analysis and insights. As a result, there is a dire need for load-balancing and task-scheduling techniques in cloud computing. The primary objective of these techniques is to divide the workload evenly across all available resources and handle other issues like reducing execution time and response time, increasing throughput and fault detection. This systematic literature review (SLR) aims to analyze various technologies comprising optimization and machine learning algorithms used for load balancing and task-scheduling problems in a cloud computing environment. To analyze the load-balancing patterns and task-scheduling techniques, we opted for a representative set of 63 research articles written in English from 2014 to 2024 that has been selected using suitable exclusion-inclusion criteria. The SLR aims to minimize bias and increase objectivity by designing research questions about the topic. We have focused on the technologies used, the merits-demerits of diverse technologies, gaps within the research, insights into tools, forthcoming opportunities, performance metrics, and an in-depth investigation into ML-based optimization techniques.

Trends in Patient Characteristics on the Japanese Waiting Lists for Deceased-Donor Kidney Transplantation. Are There no Eligibility or Ineligibility Criteria for Registration and Renewal?

BackgroundControversial issues in registering candidates for deceased-donor kidney transplantation (DDKT) comprise various factors, including age, life expectancy, and dialysis duration. We investigated patient characteristics on the waiting list and discussed suitable criteria in Japan, which has a long waiting period. MethodsThis study included 592 patients on the waiting list for DDKT at our institute between 1982 and 2023. We retrospectively reviewed patients’ medical charts and obtained their clinical information. Patient characteristics according to outcomes and eligibility criteria for applying for or renewing registration were investigated. No prisoners were used in the study, and the participants were neither coerced nor paid. ResultsApproximately 70%, 45%, and 14.5% of the registered patients were aged >60, >70, and 80 years, respectively. The number of patients aged ≥70 years gradually decreased over time. The median waiting periods of patients who underwent and interrupted DDKT were 13 and 7 years, respectively. Patients in their 70s with a >15-year dialysis period tended to have opportunities for DDKT. Living-donor kidney transplantation was performed in patients aged <60 years. Waiting patients were significantly younger and had a shorter dialysis duration. Advanced age at registration was associated with a significantly high risk of interruption. ConclusionsAdvanced age and longer dialysis periods were considered at registration because patients with these factors tended to experience interruptions despite the long waiting period and high cost. Although older patients can undergo DDKT, factors including surgical cost and risks are considered. Eligibility/ineligibility criteria should be established for DDKT waiting lists in Japan.

Equivalent conversion of different multiaxial stress rupture criteria for creep materials based on skeletal point stresses

Multiaxial creep life prediction of components has been challenging. To cope with the challenge, efforts have been made to develop suitable multiaxial stress rupture criteria (MSRC) based on representative stress concept. Of all MSRCs, the ones due to Sdobyrev and Hayhurst-Leckie (denoted as SHL MSRC), and to Cane (denoted as Cane MSRC) are commonly-used. In this work, the equivalent conversion between the SHL MSRC and the Cane MSRC is investigated based on skeletal point stresses. Equivalent conversion formulae are proposed based on the skeletal point stresses of circumferentially-notched tension (CNT) specimen, and then validated by comparison with the experimental data available in the literature. The equivalent conversion formula between the two MSRCs is found to be dependent on the signs of principal stresses. Therefore, different conversion formulae should be chosen depending on the signs of principal stresses. Afterwards, the applicability of different equivalent conversion formulae is demonstrated for the CNT specimen when skeletal point stresses are available, and for creep crack growth specimen when skeletal point stresses are not available. Finally, the equivalence of the two MSRCs is discussed.

Quantum subspace expansion in the presence of hardware noise

Finding ground state energies on current quantum processing units (QPUs) using algorithms such as the variational quantum eigensolver (VQE) continues to pose challenges. Hardware noise severely affects both the expressivity and trainability of parameterized quantum circuits, limiting them to shallow depths in practice. Here, we demonstrate that both issues can be addressed by synergistically integrating VQE with a quantum subspace expansion, allowing for an optimal balance between quantum and classical computing capabilities and costs. We perform a systematic benchmark analysis of the iterative quantum-assisted eigensolver in the presence of hardware noise. We determine ground state energies of 1D and 2D mixed-field Ising spin models on noisy simulators and the IBM QPUs ibmq_quito (5 qubits) and ibmq_guadalupe (16 qubits). To maximize accuracy, we propose a suitable criterion to select the subspace basis vectors according to the trace of the noisy overlap matrix. Finally, we show how to systematically approach the exact solution by performing controlled quantum error mitigation based on probabilistic error reduction on the noisy backend fake_guadalupe.

Pengaruh Lingkungan Wajib Pajak, Sikap Rasional Dan Pemanfaatan Teknologi Informasi Terhadap Kepatuhan Wajib Pajak

This research aims to determine the influence of the taxpayer's environment, rational attitudes, and the use of information technology on taxpayer compliance. This type of research uses associative quantitative research. The population used in this research were students at Pamulang University, Undergraduate Accounting Study Program Semesters 1-8, Regular Ck and Cs. The sampling technique uses convinience sampling which determines the most suitable criteria for determining this research. The sampling technique used the Slovin formula so that the total sample used in this research was 100 respondents. The data analysis technique uses multiple linear regression with the help of SPSS version 28 software. The results of this research show that simultaneously the taxpayer's environment, rational attitudes and the use of information technology have a significant effect on taxpayer compliance. Meanwhile partially, the taxpayer's environment has no effect on taxpayer compliance. Rational attitudes have a significant effect on taxpayer compliance. The use of information technology has a significant effect on taxpayer compliance.

Palatoglossus Muscle and T4 Category in the Eighth Edition of TNM Staging System for OPSCC.

The present study challenges the appropriateness of considering invasion of the palatoglossus muscle (PGM) as a criterion for staging oropharyngeal squamous cell carcinoma (OPSCC) as T4. Retrospective observational study. Tertiary University Hospital. This retrospective study included nonmetastatic OPSCC patients treated with curative intent at the University of Trieste, Italy from 2015 to 2021. Patients were categorized into 4 groups: (1) tumors classified as T1-T2 by both International Cancer Control (UICC) and American Joint Committee on Cancer (AJCC)-TNM; (2) T1-T2 tumors upgraded to T4 solely by UICC due to oropharyngeal PGM infiltration; (3) T1-T2 tumors upgraded to T4 by both UICC and AJCC due to oral PGM infiltration; (4) tumors classified as T3-T4 by both UICC and AJCC. Kaplan-Meier analysis estimated overall survival (OS) and disease-free survival (DFS). Multivariable Cox models, adjusted for clinical factors, assessed the impact of palatoglossus invasion on outcomes over 5 years. A total of 121 consecutive patients with primary OPSCC were included (median [interquartile range] age 65 years [58-74]; 63% male). While patients with upgraded T4 category due to infiltration of the oral portion of the PGM exhibited a prognosis superimposable on that of other patients with advanced stage disease, those with upgraded T4 category due to infiltration of the oropharyngeal portion of the PGM displayed OS and DFS comparable to T1-T2 patients. Our findings highlight that invasion of the oropharyngeal portion of the PGM may not be a suitable criterion for staging OPSCC as T4. Further research involving larger and independent patient cohorts is strongly encouraged to corroborate these observations.

Assessment of unidirectional internal solitary wave models in a two-layer fluid system through an improved experimental method

The suitability of unidirectional internal solitary wave (ISW) models in a two-layer fluid system is evaluated using an improved experimental method. A new method for generating internal solitary waves in the laboratory tank is proposed, utilizing a piston-type wave maker in a density stratified two-layer fluid. The prescribed velocities of the pistons are determined by the mean velocities derived from the adjusted High-order Unidirectional (aHOU) model for the upper and lower layers. Experimental conditions encompass a range of wave Reynolds numbers between 1.8×105 and 2.3×105. The repeatability and amplitude control of the proposed wave-making method are verified. The unidirectional models considered in this study encompass the Korteweg–de Vries (KdV), Gardner and aHOU model. Laboratory experiments and theoretical computations have been systematically compared in this study to examine the wave characteristics inherent in typical unidirectional internal solitary wave models. It is found that Reynolds number (Re) and nonlinear parameter (α=|a|/h) serve as suitable criteria for delineating the range of applicability of unidirectional models. According to these criteria, the KdV theory is suitable for ISWs with amplitudes α<0.02 across all Reynolds number cases, while the Gardner model is valid for cases where α<0.02 and Reω>2.2×105, with α<LimG, where LimG represents the non-dimensional limiting amplitude. The aHOU model exhibits the capability to capture fully nonlinear ISWs across all Reynolds numbers considered in this study.