Proof Of Validity Research Articles

Reliability Analysis of Poll Data with Novel Entropy Information Measure in Multicriteria Decision-Making Based upon Picture Fuzzy Environment

The polling system has a considerable role in the democratic nation. The uncertainty of the people’s participation in polling generally affects the electoral-based system. Therefore, PFS (picture fuzzy set) is the furthermost efficient and useful extension of IFS (intuitionistic fuzzy set) in a fuzzy system capable of precisely handling human perception in the decision-making system. The PFS structure involves the different degrees, i.e., membership, nonmembership, neutral, and hesitancy which are comprehensively applied to such types of complex practical problems in the real-life scenario. This advantage of PFS motivates the author to propose PFSs centred novel entropy measure via this communication, which is comparatively more generalized, reliable, and simplified in place of the existing uncertain measures. The practicability of the proposed present research work is to deal with real-world problems pertaining to the relative importance of the attributes. Therefore, certainly, the proposed novel entropy developed a different approach to handle the uncertainty more precisely as a part of the existing approaches. The validation proof of the proposed entropy measure is proved in an organized manner and practically employed in the perspective of the polling data outcomes about the people’s opinions with the VIKOR-TOPSIS approach.

The missing link: Unlocking the power of cardiac rhythm monitoring device based QT interval detection.

BackgroundThe QT interval is of high clinical value as QT prolongation can lead to Torsades de Pointes (TdP) and sudden cardiac death. Insertable cardiac monitors (ICMs) have the capability of detecting both absolute and relative changes in QT interval. In order to determine feasibility for long‐term ICM based QT detection, we developed and validated an algorithm for continuous long‐term QT monitoring in patients with ICM.MethodsThe QT detection algorithm, intended for use in ICMs, is designed to detect T‐waves and determine the beat‐to‐beat QT and QTc intervals. The algorithm was developed and validated using real‐world ICM data. The performance of the algorithm was evaluated by comparing the algorithm detected QT interval with the manually annotated QT interval using Pearson's correlation coefficient and Bland Altman plot.ResultsThe QT detection algorithm was developed using 144 ICM ECG episodes from 46 patients and obtained a Pearson's coefficient of 0.89. The validation data set consisted of 136 ICM recorded ECG segments from 76 patients with unexplained syncope and 104 ICM recorded nightly ECG segments from 10 patients with diabetes and Long QT syndrome. The QT estimated by the algorithm was highly correlated with the truth data with a Pearson's coefficient of 0.93 (p < .001), with the mean difference between annotated and algorithm computed QT intervals of −7 ms.ConclusionsLong‐term monitoring of QT intervals using ICM is feasible. Proof of concept development and validation of an ICM QT algorithm reveals a high degree of accuracy between algorithm and manually derived QT intervals.

Privacy-Preserving Public Auditing for Shared Cloud Data With Secure Group Management

With cloud storage services, users can store their data in the cloud and efficiently access the data at any time and any location. However, when data are stored in the cloud, there is a risk of data loss because users lose direct control over their data. To solve this problem, many cloud storage auditing techniques have been studied. In 2019, Tian <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> proposed a public auditing scheme for shared data that supports data privacy, identity traceability, and group dynamics. In this paper, we point out that their scheme is insecure against tag forgery or proof forgery attacks, which means that, even if the cloud server has deleted some outsourced data, it can still generate valid proof that the server had accurately stored the data. We then propose a new scheme that provides the same functionalities and is secure against the above attacks. Moreover, we compare the results with other schemes in terms of computation and communication costs.

The nutriRECIPE-Index \u2013 development and validation of a nutrient-weighted index for the evaluation of recipes

BackgroundOur objective was to develop a nutrient-based index for evaluating and improving menus in public catering. The nutriRECIPE-Index comprises 24 nutrients and nutrient groups. In developing the index, the following steps were included: setting the goals of the index, nutrient selection, target metrics and scaling, weighting, proof of concept and validation of the index. Furthermore, a unique database was created to integrate bioactive plant compounds in the assessment. An assessment of standard recipes and supposedly healthy recipes should show a significant difference in the results of the nutriRECIPE-Index. Finally, the nutriRECIPE-Index should generate similar or more specific results than existing indices such as the Nutri-Score and the Healthy Meal Index.MethodsA whole meal cycle (comprising 6 weeks, 106 recipes and including different menu lines, partially with different side dishes) at a university canteen was analysed with the Federal Food Code (BLS) and the nutriRECIPE-Index. The Healthy Meal Index (comprising 3 nutritionally relevant items) and the Nutri-Score algorithm (comprising 7 items) were used to validate the nutrient composition and the results of the nutriRECIPE-Index.ResultsThe resulting scores of the recipes and menu lines showed substantial differences, wherein the meals of a health-promoting menu line usually received higher scores than the standard recipes. A correlation between the nutriRECIPE-Index and the Healthy Meal Index (0.604) and the Nutri-Score (0.591) was observed. The nutriRECIPE-Index was better at identifying the worst menus and could better separate mediocre menus from good menus.ConclusionThe nutriRECIPE-Index is a useful and comprehensive tool for evaluating the nutritional value of recipes and is the first to consider bioactive plant compounds. Further adjustments to different target populations, settings, and cultural backgrounds are possible.

Wide-band conversion of donut-shaped pattern to directive one by square-shaped pattern director antenna

AbstractIn this paper, an antenna with 8 GHz (7–15 GHz) bandwidth is designed, simulated, fabricated, and measured. Commonly, for the effective use of electromagnetic sources, mode converters are used to transform donut-shaped patterns to directive patterns. This paper introduces a novel antenna called the pattern director antenna (PDA) that solves most problems associated with the azimuthally symmetric output modes of high-power microwave sources. The PDA accepts directly (without the need for mode conversion) an azimuthally symmetric generated mode of an electromagnetic source and converts it to radiate a directive pattern. For the proof of concept and validation of the design by simulations, the 3D printing technology [using polylactic acid (PLA)] is used to fabricate the PDA and measure its radiation patterns and return loss. The selected material is cheap and also environmentally friendly. The antenna was coated with aluminum to become a conductor. The gain is from 16.8 to 21.8 dB in the frequency range. The S11, main lobe deviation (MLD), and sidelobe level (SLL) are less than −15 dB, 2°, and −7 dB, in all frequency range, respectively. The simulation results are in good agreement with the measurement.

Process Validation in Pharmaceutical Product Development: An Overview

As per GMP process validation is very important and required part in product development. Process Validation is required for ensuring and providing the documentary evidence and also required for giving the Surety that process by which the formulation is prepared is capable of consistently producing the product of required quality and purity.&#x0D; A validated manufacturing process is one which has been proved to do what it purports on is represented to do. The proof of validation is obtained through the collection and evaluation of data, preferably, beginning from the process development phase and Continuing through the production phase. Validation necessarily includes process qualification (the qualification of materials, equipment Systems, buildings, personnel), but it also includes the control on the entire process for repeated batches or runs. This article gives a general introduction and overview about process validation in pharmaceutical manufacturing process and its importance.&#x0D; Keywords: GMP, Validation, validation manufacturing process.

Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana.

Biological invasions are accelerating worldwide, causing major ecological and economic impacts in aquatic ecosystems. The urgent decision-making needs of invasive species managers can be better met by the integration of biodiversity big data with large-domain models and data-driven products. Remotely sensed data products can be combined with existing invasive species occurrence data via machine learning models to provide the proactive spatial risk analysis necessary for implementing coordinated and agile management paradigms across large scales. We present a workflow that generates rapid spatial risk assessments on aquatic invasive species using occurrence data, spatially explicit environmental data, and an ensemble approach to species distribution modeling using five machine learning algorithms. For proof of concept and validation, we tested this workflow using extensive spatial and temporal hybridization and occurrence data from a well-studied, ongoing, and climate-driven species invasion in the upper Flathead River system in northwestern Montana, USA. Rainbow Trout (RBT; Oncorhynchus mykiss), an introduced species in the Flathead River basin, compete and readily hybridize with native Westslope Cutthroat Trout (WCT; O. clarkii lewisii), and the spread of RBT individuals and their alleles has been tracked for decades. We used remotely sensed and other geospatial data as key environmental predictors for projecting resultant habitat suitability to geographic space. The ensemble modeling technique yielded high accuracy predictions relative to 30-fold cross-validated datasets (87% 30-fold cross-validated accuracy score). Both top predictors and model performance relative to these predictors matched current understanding of the drivers of RBT invasion and habitat suitability, indicating that temperature is a major factor influencing the spread of invasive RBT and hybridization with native WCT. The congruence between more time-consuming modeling approaches and our rapid machine-learning approach suggest that this workflow could be applied more broadly to provide data-driven management information for early detection of potential invaders.

Long-ranged surface plasmon polaritons and their coupling with upconversion emissions in indium-tin-oxide-coated erbium and iron codoped LiNbO3

Long-ranged surface plasmon polaritons (SPPs) and their coupling with upconversion emissions (UCEs) were studied in indium tin oxide (ITO)-coated erbium and iron codoped L i N b O 3 (Er,Fe:LN). In this work, ITO is coated on Er,Fe:LN grains to form a noble-metal-like modified ITO layer, namely, a two-dimensional electron gas layer. By meeting phase-matching conditions, SPPs with a definite wave vector can be excited most efficiently. By calculating the attenuated total reflection spectra of the sandwich structure of unmodified ITO/modified ITO layer/LN, the propagation length of SPP can reach as long as 2.0 cm due to the subnanometer ITO modified layer. Experimentally, the location of missing spectral lines in the diffraction pattern and a valley in the transmission spectra are consistent well with the calculations of the phase-matching condition, both serving as valid proofs for SPP excitation. In the ITO-coated Er,Fe:LN grains, a sharp dropping-down process was observed in the UCE’s dynamics, indicating high coupling efficiency from UCEs to SPPs. This work advances the fundamental understanding in electrostatic modification of transparent oxides into visible nonmetal plasmonic materials by simply neighboring to ferroelectric oxides and leads a way toward designing and implementing shortwave plasmonic devices, apart from conventionally used lossy metal constituents.

Kernelized support tensor train machines

Tensor, a multi-dimensional data structure, has been exploited recently in the machine learning community. Traditional machine learning approaches are vector- or matrix-based, and cannot handle tensorial data directly. In this paper, we propose a tensor train (TT)-based kernel technique for the first time, and apply it to the conventional support vector machine (SVM) for high-dimensional image classification with very small number of training samples. Specifically, we propose a kernelized support tensor train machine that accepts tensorial input and preserves the intrinsic kernel property. The main contributions are threefold. First, we propose a TT-based feature mapping procedure that maintains the TT structure in the feature space. Second, we demonstrate two ways to construct the TT-based kernel function while considering consistency with the TT inner product and preservation of information. Third, we show that it is possible to apply different kernel functions on different data modes. In principle, our method tensorizes the standard SVM on its input structure and kernel mapping scheme. This reduces the storage and computation complexity of kernel matrix construction from exponential to polynomial. The validity proof and computation complexity of the proposed TT-based kernel functions are provided elaborately. Extensive experiments are performed on high-dimensional fMRI and color images datasets, which demonstrates the superiority of the proposed scheme compared with the state-of-the-art techniques.

Click-Chemistry-Based Free Azide versus Azido Sugar Detection Enables Rapid In Vivo Screening of Glycosynthase Activity.

Engineering of carbohydrate-active enzymes such as glycosynthases to enable chemoenzymatic synthesis of bespoke oligosaccharides has been limited by the lack of suitable ultrahigh-throughput screening methods capable of robustly detecting either starting substrates or end-products of the glycosidic bond formation reaction. Currently, there are limited screening methods available for rapid and highly sensitive single-cell-based screening of glycosynthase enzymes employing azido sugars as activated donor glycosyl substrates. Here, we report a fluorescence-based approach employing click-chemistry for the selective detection of glycosyl azides as substrates versus free inorganic azides as reaction products that facilitated an ultrahigh-throughput in vivo single-cell-based assay of glycosynthase activity. This assay was developed based on the distinct differences observed in relative fluorescence intensity of the triazole-containing fluorophore product formed during the click-chemistry reaction of organic glycosyl azides versus inorganic azides. This discovery formed the basis for proof of concept validation of a directed evolution methodology for screening and sorting glycosynthase mutants capable of synthesis of targeted fucosylated oligosaccharides. Our screening approach facilitated fluorescence-activated cell sorting of an error-prone polymerase chain reaction-based mutant library of fucosynthases expressed in Escherichia coli to identify several novel mutants that showed increased activity for β-fucosyl azide-activated donor sugars toward desired acceptor sugars (e.g., pNP-xylose and lactose). Finally, we discuss avenues for improving this proof of concept in vivo assay method to identify better glycosynthase mutants and further demonstrate the broader applicability of this screening methodology for synthesis of bespoke glycans.

Driving errors, estimated performance and individual characteristics under simulated and real road traffic conditions – A validation study

BackgroundThe suitability of driving simulators for the prediction of driving behaviour in road traffic has been able to be confirmed in respect of individual assessment parameters. However, there is a need for overarching approaches that take into account the interaction between various influencing factors in order to establish proof of validity. The aim of this study was to explore the validity of our driving simulator in respect of its ability to predict driving behaviour based on participants‘ observed driving errors and driver’s individual characteristics. Method41 healthy participants were assessed both in a Smart-Realo-Simulator and on the road. By means of linear modelling, the correlation between observed driving errors was investigated. In addition, the influence of self-reported and externally assessed driving behaviour as well as individual parameters (education and training; driving history) were analysed. ResultsBy including these factors, 58% of the variance could be explained. For observed driving errors, a relative validity was established. For self-reported and externally assessed driving behaviour, an absolute to relative validity emerged. The amount of time spent in education and training proved to have a significant influence on driving performance in the simulator, but not on the road. DiscussionIn general, our results confirmed the validity of our driving simulator with regard to observed and self-reported driving behaviour. It emerged that education and training as potential indicators of cognitive resources played a differential role regarding the study conditions. Since real road driving is considerably automated in experienced drivers, this result suggests that simulation-related behavioural regulation is challenged by additional cognitive demands as opposed to behavioural regulation extending to real road driving. However, the source of these additional cognitive demands remains currently elusive and may form the subject of future research.

Review Paper on Introduction to Cyber Forensics

Abstract: Cyber Forensics is termed as scientific methods or applications in association with the judiciary or court of laws. The aim behind these methods is to unveil the digital evidence to be utilized in court for solving crime cases. This sort of technology wasn’t practiced before therefore most criminals tend to urge away with their criminal acts without valid proof to incriminate or prosecute them. During that time the oaths, confessions, testimonies from witnesses were the sole determining factors of evidence Crimes committed within electronic or digital domains, particularly within cyberspace, have become common. Criminals are using technology to commit their offenses and make new challenges for law enforcement agents, attorneys, judges, military, and security professionals. Digital forensics has become a vital instrument in identifying and solving computer-based and computerassisted crime. This paper provides a quick introduction to cyber forensics. During this paper we present a typical model for both Incident Response and Computer Forensics processes which mixes their advantages in an exceedingly flexible way: It allows for a management oriented approach in digital investigations while retaining the chance of a rigorous forensics investigation. Keywords: cyber forensics, digital forensic science, computer forensics, evidence, judicial system.

Electrospray ionization stochastic dynamic mass spectrometric 3D structural analysis of ZnII–ion containing complexes in solution

The paper presents innovative stochastic dynamic formulas treating quantitatively mass spectrometric outcome intensity by introducing diffusion coefficient, which is used to quantify and determine 3D structurally solvate inorganics of ZnII-ion observed under electrospray ionization conditions of metal-organics of 5-sulfosalicylic acid (1), 3,4-dihydroxy benzoic acid (2) and quinolin-8-ol (3), due to ligand exchange reactions of {[ZnII(H2O)6]2+)} and {[ZnIICl4]2-} counterions, determined by single crystal X-ray diffraction. The diffusion data are applied to multidimensional structural analysis using correlatively quantum chemical diffusion data according to Arrhenius’s theory. We provide empirical proof of validity of a new simplistic derived equation D″ SD = 2.6388.10−17 (<I2>–()2) to inorganics. The degree of testability of our formulas is justified by means of independent single crystal X-ray diffraction data. Insights into coordination chemistry of ZnII-ion in solution are gained. High accuracy quantum chemical static methods and molecular dynamics are utilized, as well.

Processus d’élaboration et de validation d’un questionnaire portant sur le développement des compétences émotionnelles lors du mentorat

Objective and methodThe aim of this article is to provide a portrait of the emotional competencies developed by school principals (n=359) in a mentoring context by developing a seven-step questionnaire by Frenette et al. (2019) presenting various proofs of validity. ResultsThe analyses conducted support a factorial structure with two correlated aspects of emotional competencies (self and others). School principals in Quebec develop more emotional competencies related to the aspect of others than for themselves during mentoring. A further analysis indicates that school principals develop more two dimensions of Emotional competencies: Identification and Understanding. The results also show that 77.26 % of respondents indicated that they developed emotional skills during mentoring. ConclusionThe results provided an understanding of the importance of emotional competencies in education, and specifically in school management. It also revealed the importance of emphasizing the role of mentoring in their development. To our knowledge, the questionnaire developed in this study is one of the first to measure the development of emotional competencies during a mentoring relationship.

The legal status of an advocate’s articled clerk in the Polish Civil Court Proceedings – remarks on comparative background

The article presents a view concerning the status of the advocate’s articled clerk in the Polish civil court proceedings. At the same time, it should be emphasized that the purpose of the present study was not to answer the question, whether this subject is a representative or substitute within the proceedings, but rather to present a slightly different opinion on the role of articled clerk in civil procedure, taking the special function of the advocate pupillage into account. This study seems to be interesting, for example as it somehow “touches” the sensitive point of interconnection between civil procedural law and internal regulations of the Bar. Although the analysis is aimed at defining the status of an articled clerk in the Polish civil court proceedings, the inclusion of references to regulations regarding the position of legal adviser’s articled clerk serves us to broaden the scope of evaluation and make the study more attractive. Furthermore, simple proof of validity of the presented thesis, according to which the advocate’s articled clerk acts as an alter ego of the advocate, would not be that interesting, without referring to the German, Italian and Ukrainian legal systems. The comparison of these four legal orders, i.e. the Polish, German, Italian and Ukrainian ones, led us to an interesting conclusion. Namely, an articled clerk has the opportunity to perform legal representation in a wider scope than the German trainee, Italian apprentice or Ukrainian assistant advocate. Consequently, his or her role as a trial deputy is special. It is the scope of the rights of the Polish articled clerk that grants him or her the basis act as an alter ego of the advocate.

Building an Integrated Drilling Geomechanics Model Using a Machine-Learning-Assisted Poro-Elasto-Plastic Finite Element Method

SummaryThe petroleum industry has long relied on predrilling geomechanics models to generate static representations of the allowable mud weight limits. These models rely on simplifying assumptions such as linear elasticity, a uniform wellbore shape, and generalized failure criteria to predict failure and determine a safe mud weight. These assumptions lead to inaccurate results, and they fail to reflect the effect of different routing drilling events. Thus, this paper’s main objective is to improve the process for predicting the wellbore rock failure while drilling. This work overcomes the limitations by using a new and integrated modeling scheme.Wellbore failure prediction is improved through the use of an integrated modeling scheme that involves an elasto-plastic finite element method (FEM) model, machine learning (ML) algorithms, and real-time drilling data, such as image logs from a logging while drilling (LWD) tool that accurately describes the current shape of the wellbore. Available offset well data are modeled in the FEM code and are then used to train the ML algorithms. The produced integrated model of FEM and ML is used to predict failure limits for new wells. This improved failure prediction can be updated with the occurrence of different drilling events such as induced fractures and wellbore enlargements. The values are captured from real-time data and reflected in the integrated model to produce a dynamic representation of the drilling window.The integrated modeling scheme was first applied to laboratory experimental results to provide a proof of concept and validation. This application showed improvement in rock-failure prediction when compared with conventional failure criteria such as Mohr-Coulomb. Also, offset-well data from wireline logging and drilling records are used to train and build a field-based integrated model, which is then used to show that the model output for a separate test well reasonably matches the drilling events from the test well. Application of this integrated model highlights how the allowable mud-weight limits can vary because drilling progresses in a manner that cannot be captured by the conventional predrilling models.As illustrated by a field case, the improvement in failure prediction through this modeling scheme can help avoid nonproductive time events such as wellbore enlargements, hole cleaning issues, pack-offs, stuck-pipe, and lost circulation. This efficiency is to be achieved by a real-time implementation of the model where it responds to drilling events as they occur. Also, this model enables engineers to take advantage of available data that are not routinely used by drilling.

Design of a vertical Loss-in-Weight feeder prototype with experimental proof of concept validation

Loss-in-Weights (LiW) feeders are commonly oriented in a horizontal way. In this work, an experimental proof of concept, including mechanical and electrical design, construction, and operation, of a vertical LiW feeder prototype is performed. In a systematic design process, based on functional design specifications, the semi-automated vertical LiW feeder for dosing a wide range of powders, especially cohesive ones, is developed. The new dosing machine is assessed with regard to a number of key features such as high dosing accuracy, first-in-first-out powder discharge, easily interchange of the powder container, and flexibility in controlling the speed of the auger and stirrer motors independently. An experimental sensitivity analysis to study the functionality of the dosing machine and to investigate the weight variability of the weighing platform, i.e. mass flow rate, and quantity of dosed mass, is carried out. The results of the sensitivity analysis and the powder dosing tests of five diverse powders using different auger and stirrer geometries verified the proof of concept prototype. Highlights A systematic design approach for validating a proof of concept of a vertical loss in weight feeder is applied A full mechanical CAD design and implementation along with electric installation and software programming are executed Sensitivity analysis approach is performed to validate the functionality of the semi-automated machine and successfully dispense dissimilar powders tested with different process parameters The machine is characterized with a number of key features: first-in-first-out powder discharge, high dosing accuracy, flexible and modular concept design, flexibility in controlling the speed of the auger and the stirrer independently, lightweight and user-friendly design

Project Time Deployment: a new lean tool for losses analysis in Engineer-to-Order production environments

This paper presents a novel lean tool called Project Time Deployment (PTD) whose objectives are to classify, analyse, and eliminate losses in order to reduce production lead time in Engineer-to-Order (ETO) environments. By combining two already known approaches, i.e. the Manufacturing Critical-path Time and the Manufacturing Cost Deployment, PTD identifies the critical losses affecting the project, focusing on the business processes where causal losses occur, and providing opportunities for greater efficiency and effectiveness by reducing or even eliminating them. In ETO projects, the lead time and respecting deadlines are of paramount importance and they are often threatened by several different losses that are difficult to compare. Companies thus need a tool to identify the losses and the tasks where they occur, quantifying them in terms of a single dimension: the time. PTD was designed using a methodology based on four steps: analysis of current solutions, concept design and prototype, proof of concept and validation, and definition of future researches. It was also validated in an industrial implementation concerning an Engineering, Procurement & Construction company operating in the steel industry, and led to an approximate 24% reduction in lead time.

In Defence of an Inferential Account of Extrapolation

ABSTRACT According to the hypothesis-generator account, valid extrapolations from a source to a target system are circular, since they rely on knowledge of relevant similarities and differences that can only be obtained by investigating the target, thus removing the need to extrapolate; hence, extrapolative reasoning can only be useful as a method for generating hypotheses. I reject this view in favour of an inferential account, focused on extrapolations underpinning the aggregation of experimental results, and explore two lines of argumentation supporting the conclusion that these extrapolations can be validated in a noncircular manner. The first argument relies on formal proofs of inferential validity demonstrating that it is possible to reason from prior knowledge of causal structures in order to determine whether a claim can be extrapolated. The second argument builds on the fact that the hypothesis-generator account overlooks key inferential and experimental practices resulting in progressively better-informed extrapolations.

Arabic Version of the Arc's Self-Determination Scale for Saudi Female Adolescents with Intellectual Disabilities, Learning Disabilities, and Multiple Disabilities

AbstractThere is limited recognition of the concept of self-determination in Middle Eastern cultures. Consequently, there are no adapted measures of self-determination for Arabic adolescents with intellectual disabilities, learning disabilities, or multiple disabilities (intellectual disability and physical impairment). The purpose of this study was to examine the internal consistency reliability and construct validity of a translated and adapted version of the Arc's Self-Determination Scale. The participants in this study were 364 Saudi female adolescents between 14 and 22 years old who had intellectual disabilities, learning disabilities, or multiple disabilities and were enrolled in educational organizations in Saudi Arabia. An Arabic version of the Arc's Self-Determination Scale was translated and back-translated by the researchers and then refined and validated by a panel of experts. The translated and adapted Arc's self-determination scale was administered to the participants by their teachers at their schools. Thirty-four items were deleted from the scale, and seven items were modified by the researchers because they were culturally inappropriate. Factorial analysis showed proof of construct validity. The findings of this study showed that the translated and adapted version of the Arc's Self-Determination Scale is a validated assessment within Saudi culture; however, further validation studies with larger samples are needed. This study replicated the findings of previous studies with an international sample and confirmed the universality of the concept of self-determination as well as differences in the operationalization of the self-determination construct across cultures.