Appropriateness Of Systems Research Articles

Challenges Faced During Implementation of Digital Twin in Construction Project Monitoring

Digital Twins (DTs) are gaining popularity because they provide precise digital copies of assets, processes, and systems. This is especially true when these DTs are paired with real-time simulation models that make use of modern technologies like machine learning, artificial intelligence, and data analytics. These combinations can provide a comprehensive and dynamic view of the monitored systems. Digital twin (DT) has shown tremendous potential to bring about revolutionary improvements in the field of construction site surveillance. There is, however, a notable paucity of empirical research identifying the constant elements affecting DT adoption in this industry. This research tries to fill that void by identifying the important elements that determine the usage of DT in construction. The study adopts a complete framework with the goal of increasing the use of DT in building site monitoring. The elements influencing the adoption and effectiveness of distributed ledger technology (DT) are divided into three categories: technological, organizational, and economic. Technological factors include the system's appropriateness and the robustness of the data infrastructure. Organizational considerations include the company's openness to innovation and leadership support. Economic aspects include things like return on investment (ROI) and cost-effectiveness. The research technique combines case studies and literature reviews to examine the benefits and drawbacks of DT in construction monitoring. This study's expected output is a comprehensive framework that aids construction businesses in optimizing the use of DT in site monitoring. This would allow for more efficient, data-driven, and forward-thinking processes. The study's ultimate purpose is to provide critical knowledge that will assist the building sector in adopting cutting-edge methods. The industry may better plan for the integration of this sophisticated technology into their operations by knowing the potential of DT and the variables driving its adoption. This, in turn, can lead to more efficiency, lower risks, and improved overall performance

Android-Based Personal Hygiene Educational Game Application for Children

Presently, there remains a deficiency in educational games aimed at instilling in children an awareness of personal hygiene, and numerous health issues stem from a lack of adherence to good hygiene practices. This study seeks to develop an Android-based educational game catering to the hygiene needs of young children, with a focus on assessing the application's feasibility. The research collected system-building data through observations and interviews, employing the Black Box testing method to evaluate the application's usability. Field and library research contributed to the acquisition of comprehensive data. The study's outcome is the creation of an Android-based educational game dedicated to teaching personal hygiene to children. Utilizing the UML design method, the author constructed and integrated the game into the Unity 3D application, enabling children to grasp the significance of cleanliness and environmental hygiene through engaging gameplay. Evaluation results indicate the suitability of the personal hygiene education game, with a learning menu percentage of 78% and a play menu percentage of 77%, as determined by questionnaire-based tests, affirming the system's appropriateness for use.

Stability indicating HPLC method development and validation of Fostemsavir in bulk and marketed formulations by implementing QbD approach

Background: Achieving a predictable degree of quality with intended and planned specifications is known as "quality by design." QbD (Quality-by-Design) is an alternative to conventional method development that places more attention on identifying and mitigating potential risks. Component of the Quality-by-Design methodology involves conducting a series of experiments to learn how various factors, including the dependant variables, affect the answers of interest. Here, we use a QbD (Quality-by-Design) loom to detail the creation and verification of a stability-indicating high-performance liquid chromatography (HPLC) method for Fostemsavir in both bulk and finished-goods forms.
 Results:
 In this work, we present a workable experimental design for optimising the RP-HPLC separation technique by identifying the optimum mobile phase concentration and flow rate. Below are the ideal chromatographic conditions as calculated by Design Expert version 13.0: Mobile phase: 80 parts acetonitrile to 20 parts formic acid (v/v), flow rate: 0.8 millilitres per minute, retention time: 3.24 minutes, column dimensions: GIST C18 (250 mm × 4.6 mm × 5.0 μm).
 Here we propose a practical experimental layout for determining the optimal mobile phase concentration and flow rate for the RP-HPLC separation technique. Using Design Expert version 13.0, the optimum chromatographic conditions were determined to be as follows: Shim-pack GIST C18 (250 mm 4.6 mm, 5.0 μ), mobile phase acetonitrile to 1% formic acid (80:20, v/v), flow rate 0.8 ml/min, and retention period 3.24 min.
 At a detection wavelength of 266 nm, it was discovered that the devised technique was linear over a concentration range of 50-90 μg/ml (r2 = 0.997). Test parameters for the system's appropriateness were determined to be 1.124 for the tailing factor and 9480 for the theoretical plates. Intraday RSD was found to range from 0.70 to 0.94, whereas interday RSD was found to range from 0.55 to 0.95 percent. Values for robustness were under 2%. The solution stability % RSD was calculated to be 0.83. The result of the assay was 100.05 percent. The created methodologies were used to studies of forced degradation, and the stressed materials were analysed. The parameters used to validate the procedure fell within the acceptable range recommended by ICH.
 Conclusion: Using Design Expert 13.0, we created a central composite design experiment that illustrates the relationships between mobile phase and flow rate across three levels, with retention duration, tailing factor, as well as theoretical plates as the responses of interest. By this work, we gain insight into the variables that affect chromatographic separation and strengthen our conviction that the HPLC method we've devised will serve our needs. Quantitative method development was applied to improve comprehension of multi-tiered method variables.

Assay of Bio Analytical Method for the Estimation of Avelumab and Axitinib Using UPLC and Its Application to Pharmacokinetic Studies

Aims: Bioanalytical methods for the estimation of Avelumab and Axitinib using UPLC have been validated and may be used in Pharmacokinetic investigations.
 Place and Duration of Study: Department of Engineering Chemistry, AUCE (A), Visakhapatnam, Andhra Pradesh, between September 2021 to February 2022.
 Methodology: Using a C18 column (50x2.1 mm, 1.7 ) and an organic mobile phase containing 0.1 percent formic acid and Acetonitrile in a 70:30 ratio, this article provides an overview of recent advances in bioanalytical UPLC procedures.
 Results: Avelumab and axitnib had linear calibration curves in the 5-100 ng/ml and 5-100 ng/ml ranges, respectively. Avelumab's precision and accuracy trial results were from 100.18 to 103.94, whereas Axitinib's were 99.39 to 100.81, according to the findings. The LQC and HQC of Avelumab and axitinib were 99.9 and 99.1 percent, respectively, in the matrix effect. There was a 0.67 and a 0.59 percent CV for the two medicines at the LQC and HQC levels respectively. In pharmacokinetic investigations, a simple and effective approach was created and used to observe the analyte of interest in bodily fluids.
 Conclusion: It shows that the system's appropriateness, precision, linearity, and accuracy are all in accordance with USFDA criteria and may be used successfully for pharmacokinetic research in rabbits.

CareToy: Stimulation and Assessment of Preterm Infant's Activity Using a Novel Sensorized System.

Early intervention programs aim at improving cognitive and motor outcomes of preterm infants. Intensive custom-tailored training activities are usually accompanied by assessment procedures, which have shortcomings, such as subjectivity, complex setups, and need for structured environments. A novel sensorized system, called CareToy, was designed to provide stimulation in the form of goal-directed activity training scenarios and motor pattern assessment of main developmental milestones, such as rolling activity, grasping, and postural stability. A group of 28 differently skilled preterm infants were enrolled. Acquired measurement data were analysed with dedicated sensor data processing algorithms, along with clinical evaluation of motor ability. High correlation among technically determined parameters and Alberta Infant Motor Scale values was determined by Pearson correlation coefficients. Due to good accuracy and possibility of single motor skill subfield analysis, results confirm system suitability for motor ability assessment. Statistical analysis of inter-motor ability group and inter-training goal data comparisons demonstrate system's appropriateness for goal-directed activity stimulation. The proposed system has evident potential of being an important contribution to the field of infant motor development assessment, expanding accessibility of early intervention programs and affecting rehabilitation effectiveness of preterm infants.