Scale Systems Research Articles

Practice of High-Risk/Alert Medications by Pharmacists in Saudi Arabia

International Journal of Pharmacology and Clinical Sciences,2022,11,3,92-103.DOI:10.5530/ijpcs.2022.11.16Published:December 2022Type:Research Article Authors:Yousef Ahmed Alomi, Nouf Saad Al-Saban, Randa Jaroudi, Hussain Mohammed Ibrahim Aareji, Faisal Safouq Alanazi, and Maha Hussein Almadany Author(s) affiliations:Yousef Ahmed Alomi*, BSc. Pharm, MSc. Clin Pharm, BCPS, BCNSP, DiBA, CDE, Critical care clinical pharmacists TPN clinical pharmacist Freelancer Business Planner, Content Editor, and Data Analyst,Riyadh, SAUDI ARABIA. Nouf Saad Al-Saban, Bsc. Pharm Patient Safety Specialist Saudi Patient Safety Center Riyadh, SAUDI ARABIA. Randa Jaroudi, BSc, PharmD TPN Clinical Pharmacist, Freelance TPN Consultation, SAUDI ARABIA. Hussain Mohammed Ibrahim Aareji, BSc. Pharm, Assistant Director of Quality Management and Patient safety, Jazan, SAUDI ARABIA Faisal Safouq Alanazi, BSc. Pharm, Pharm.D, MSc. Clin Pharm, Pharmaceutical Care Services, MOH, Hafar Albatin, SAUDI ARABIA. Maha Hussein Almadany, Bsc. Pharm, Health Care Quality Management Professional Diploma (HCQM), Pharmacy Quality department, King Salman bin Abdulaziz Medical City, Al Madina Al Monwarah, SAUDI ARABIA. Abstract:Objectives: To illustrate the pharmacist practice of High-Risk/Alertmedications in Saudi Arabia. Methods: It analyzes a cross-sectional survey that discussed the Pharmacist practice of High-Risk/Alert medications in Saudi Arabia. The survey consisted of respondents’ demographic information about pharmacists and practices, Basic and advanced High-Risk/Alertmedications practice implementation, the High- Risk/Alertdrugs implemented in the following medication stages, and medications considered high alert or high risk at your institution. The 5-point Likert response scale system was used with closed-ended questions. The survey was validated through the revision of expert reviewers and pilot testing. Besides, various tests of reliability, McDonald’s ω, Cronbach alpha, Gutmann’s λ2, and Gutmann’s λ6 been done with the study. Furthermore, the data analysis of the Pharmacist practice of High-Risk/ Alert medications is done through the survey monkey system. Besides, the statistical package of social sciences (SPSS), Jeffery’s Amazing Statistics Program (JASP), and Microsoft Excel sheet version 16. Results: A total number of 442 pharmacists responded to the questionnaire. Of them, more than one-third responded from the Central region (183 (40.40%)), and one Quarter responded from the Western part (119 (26.92%)), with statistically significant differences between the provinces (p=0.000). Males responded more than females (264 (59.59%)) versus 179 (40.41%)), with statistically significant differences between all levels (p=0.000). Most of the responders were in the age group of 24-30 years (266 (59.91%)) and 31-35 years (78 (17.57%)), with statistically significant differences between all age groups (p=0.000). Most of the pharmacists were staff pharmacists (323 (72.75%)) and pharmacy supervisors (56 (12.61%)), with statistically significant differences between all levels (p=0.000). The average score of the practice of pharmacists’ basic of High-Risk/Alertmedications was (3.81). The element “The risk medications is a part of medications safety vision” obtained the highest score (4.18), and the element “Policy and procedure of High-Risk/ Alertmedications “ was (4.18). Followed the “The High-Risk/Alertmedications is a part of medications safety Mission” (4.12). The average advanced High-Risk/Alertmedications practice implementation score was (3.62). The element “The pharmacist share in medications safety committee for High-Risk/Alertmedications discussion” (4.12) and the element “There is documentation of potential impact and outcomes with High- Risk/Alertmedications “ was (3.85). The average score of High-Risk/Alertmedications implemented in the medications stages was (3.99). The dispensing stage obtained the highest score (4.21), and the administration stage (4.12). Most drugs considered high alert or high risk at the institutions were antithrombotic agents 332 (77.39%) and adrenergic agonists 330 (76.92%). They were followed by insulin 285 (66.43%) and inotropic medications 284 (65.97%). Conclusion: The pharmacist’s practice of High- Risk/Alertmedication is sufficient in Saudi Arabia. However, more expanded training in anesthesia and operation rooms has been successfully implemented. That leads to many preventive drug-related problems and avoids unnecessary economic burdens on the healthcare system. Keywords:Alert, Drugs., High-risk, Medications, Pharmacist, PracticeView:PDF (381.02 KB) PDFClick here to download the PDF file. Images Practice of High-Risk/Alert Medications by Pharmacists in Saudi Arabia

НАПРЯМИ ВДОСКОНАЛЕННЯ КОРПОРАТИВНОЇ КУЛЬТУРИ ПІДПРИЄМСТВ МЕТАЛУРГІЙНОЇ ПРОМИСЛОВОСТІ

The article examines the theoretical aspects of the corporate culture formation, its features at the metallurgical enterprises of Ukraine and directions for improvement amid the innovative development. As a result of the study of four types of corporate culture – adhocracy, clan, market and hierarchical according to the CVF model of K. Cameron and R. Quinn, it was determined that the adhocratic culture will most contribute to innovation, as it involves flexibility and is oriented towards the external environment. In turn, the market culture emphasizes control and stability, which is a constraint on innovation. The authors proposed a modified method of diagnosing corporate culture, which is based on the CVF model and provides for a 5-point scale system for evaluating questionnaire questions by respondents. As a result of the diagnosis, it was found that PJSC "INTERPIPE" and PJSC "Central GZK" have a clan corporate culture, which must be strengthened to the desired level. PJSC "Zaporizhstal", PJSC "YUZHKOKS", PJSC "KAMET-STEEL" should change the type of corporate culture from market to clan culture. It is proposed that the strategic vision of the metallurgical enterprise’s development must be changed in the direction of innovative development. The role of women working at metallurgical enterprises in the promotion of desired green practices and values is shown. Women are more committed to "green" values than men. This increases the role of women in promoting green practices and introducing innovations at metallurgical enterprises. The analysis of the strategic direction of the corporate culture showed that the staff wants the strategy to correspond to the innovative (adhocratic) type of culture. Based on the fact that corporate culture affects the innovation of enterprises, and vice versa, we can assume that the strategic vision of metallurgical enterprises development must be changed in the innovative development direction, digitalization, smartization. Taking into account the European integration direction of Ukraine, changes in the principles of conducting business related to the European Green Deal are expedient. The proposed recommendations can be used to improve the mission, strategic vision, corporate culture and its values for metallurgical enterprises.

Fast Counterfeit RFID Tags Detection With Slot Constraints

RFID tags are prone to counterfeit attacks in supply chain scenarios. The attacker often uses counterfeit tags to replace stolen tags to avoid being detected by the inventory process. To defend against such attacks, existing hash-based schemes have to know the hash functions embedded in tags, which are usually unavailable in large scale systems. This letter proposes a novel group-based slot constraint (GSC) scheme for lightweight counterfeit tag detection in RFID-enabled supply-chain systems. GSC can be integrated into the identification process by leveraging elaborately designed group hash functions to authenticate tags based on their slot correlation. That is, the tags in the same group can always map to slots with a fixed offset, which offers evidence for identifying counterfeit tags with an abnormal slot index. We also provide a theoretical analysis of the time slots required to achieve the desired accuracy. The simulation results show that GSC provides reliable accuracy without knowing exact hash functions.

Phononic thermal conduction and thermal regulation in low-dimensional micro-nano scale systems: Nonequilibrium statistical physics problems from chip heat dissipation

“Heat death”, namely, overheating, which will deteriorate the function of chips and eventually burn the device and has become an obstacle in the roadmap of the semiconductor industry. Therefore, heat dissipation becomes a key issue in further developing semiconductor. Heat conduction in chips encompasses the intricate dynamics of phonon conduction within one-dimensional, two-dimensional materials, as well as the intricate phonon transport through interfaces. In this paper, the research progress of the complexities of phonon transport on a nano and nanoscale in recent three years, especially the size dependent phonon thermal transport and the relationship between anomalous heat conduction and anomalous diffusion are summarized. Further discussed in this paper is the fundamental question within non-equilibrium statistical physics, particularly the necessary and sufficient condition for a given Hamiltonian whose macroscopic transport behavior obeys Fourier’s law. On the other hand, the methods of engineering the thermal conduction, encompassing nanophononic crystals, nanometamaterials, interfacial phenomena, and phonon condensation are also introduced. In order to comprehensively understand the phononic thermal conduction, a succinct overview of phonon heat transport phenomena, spanning from thermal quantization and the phonon Hall effect to the chiral phonons and their intricate interactions with other carriers is presented. Finally, the challenges and opportunities, and the potential application of phonons in quantum information are also discussed.

Knowledge of Pharmacists about Cardiopulmonary Resuscitation Medications in Saudi Arabia

International Journal of Pharmacology and Clinical Sciences,2022,11,3,82-91.DOI:10.5530/ijpcs.2022.11.15Published:December 2022Type:Research Article Authors:Yousef Ahmed Alomi, Rola AL Kenani, Samah Mukhlef Alzaid, Wafa Hussain Alshehre, and Khawlah Ibrahim Alshahrani Author(s) affiliations:Yousef Ahmed Alomi*, BSc. Pharm, MSc. Clin Pharm, BCPS, BCNSP, DiBA, CDE, Critical care clinical pharmacists TPN clinical pharmacist Freelancer Business Planner, Content Editor, and Data Analyst,Riyadh, SAUDI ARABIA. Rola AL Kenani, BSc. Pharm, SSC-PhP, Nephrology Pharmacotherapy Specialist, Riyadh, SAUDI ARABIA Samah Mukhlef Alzaid, Bsc.Pharm, Clin. Pharm, Clinical Pharmacy Services, Gurayat General Hospital, Ministry of Health, Gurayat, SAUDI ARABIA Wafa Hussain Alshehre, Pharm.D, BCSP, Drug information clinical pharmacy specialist, Pharmacy Department, Aliman Hospital, Ministry of Health, Riyadh, SAUDI ARABIA. Khawlah Ibrahim Alshahrani, Pharm D, College of Pharmacy, Taif University, Taif, SAUDI ARABIA. Abstract:Objectives: To illustrate the knowledge of pharmacists about CPR medications services in Saudi Arabia. Materials and Methods: The study analyzed a cross-sectional survey that discussed pharmacist’s knowledge of Cardiopulmonary Resuscitation (CPR) medications in Saudi Arabia. The survey consisted of respondents’ demographic information about pharmacists and Cardiopulmonary Resuscitation (CPR) drugs, assessment of primary and advanced knowledge, and the resources used for Cardiopulmonary Resuscitation (CPR) medications. The 5-point Likert response scale system was used with closed-ended questions. The survey was validated through the revision of expert reviewers and pilot testing. Besides, various tests of the reliability of McDonald’s ω, Cronbach alpha, Gutmann’s λ2, and Gutmann’s λ6 were carried out with the study. The data analysis of the Pharmacist practice of Cardiopulmonary Resuscitation (CPR) medications is done through the survey monkey system. Besides, the statistical package of social sciences (SPSS), Jeffery’s Amazing Statistics Program (JASP), and Microsoft Excel sheet version 16 were implemented. Results: A total number of 439 pharmacists responded to the questionnaire. Of them, more than onethird responded from the Central region (122 (31.69%)), one Quarter responded from the Eastern region (91 (23.64%)), and one-fifth responded from the southern part (79 (20.52%)). Males responded more than females (203 (53.14%)) versus 179 (46.86%)), with statistically non-significant differences between all levels (p=0.219). Most of the responders were in the age group of 36-45 years (152 (39.48%)) and 46-55 years (134 (34.81%)), with statistically significant differences between all age groups (p=0.000). The majority of pharmacists had training courses in Basic Life Support (BLS) (293 ((77.11%)), Advance Cardiac Life Support (ACLS) (289 ((76.05%)), Pediatric Cardiac Life Support (PCLS) (287((75.53%)), and Neonatal Cardiac Life Support (NCLS) (203 ((53.42%)), with statistically significant differences between all levels (p=0.000). The average score of basic knowledge of pharmacists about Cardiopulmonary Resuscitation (CPR) medications was (1.67). The element “know how to prepare and dispense ACLS medications list” obtained the highest score (2.04). The aspect “there is an official standardized NCLS medications list” (1.94), and The element “there is an official standardized PCLS medications list” (1.93). The average score of advanced knowledge of pharmacists about Cardiopulmonary Resuscitation (CPR) medications was (1.86). The element “know the compatibility of ACLS medications” obtained the highest score (2.31). The aspect “know the drug - interactions with NCLS medications” (2.27), and The element “know the drug - interactions with PCLS medications” (2.17). The resources used most about the CPR medications were Medical association literature/guidelines/recommendations 307 (76.56%), Peer discussions 298 (74.31%), and Scientific literature 293 (73.07%). Conclusion: The pharmacists’ knowledge of CPR medication was inappropriate. Therefore, undergraduate education and training of CPR medication is high recommended. Besides, involvement training for postgraduate studies is required to improve pharmacy staff knowledge of CPR services and patient outcomes in Saudi Arabia. Keywords:Cardiopulmonary Resuscitation, Knowledge, Medications, PharmacistsView:PDF (346.17 KB) PDFClick here to download the PDF file. Images Knowledge of Pharmacists about Cardiopulmonary Resuscitation Medications in Saudi Arabia

Pharmacist’s Knowledge of High-risk/Alert Medications in Saudi Arabia

International Journal of Pharmacology and Clinical Sciences,2022,11,3,65-71.DOI:10.5530/ijpcs.2022.11.13Published:December 2022Type:Research Article Authors:Yousef Ahmed Alomi, Nouf Saad Al-Saban, Maha Hussein Almadany, Randa Jaroudi, Faisal Safouq Alanazi, and Musleh Samil Reshidi Author(s) affiliations:Yousef Ahmed Alomi*, BSc. Pharm, MSc. Clin Pharm, BCPS, BCNSP, DiBA, CDE, Critical care clinical pharmacists TPN clinical pharmacist Freelancer Business Planner, Content Editor, and Data Analyst,Riyadh, SAUDI ARABIA. Nouf Saad Al-Saban, Bsc. Pharm Patient Safety Specialist Saudi Patient Safety Center Riyadh, SAUDI ARABIA. Maha Hussein Almadany, Bsc. Pharm, Health Care Quality Management Professional Diploma (HCQM), Pharmacy Quality department, King Salman bin Abdulaziz Medical City, Al Madina Al Monwarah, SAUDI ARABIA. Randa Jaroudi, BSc, PharmD TPN Clinical Pharmacist, Freelance TPN Consultation, SAUDI ARABIA. Faisal Safouq Alanazi, BSc. Pharm, Pharm.D, MSc. Clin Pharm, Pharmaceutical Care Services, MOH, Hafar Albatin, SAUDI ARABIA. Musleh Samil Reshidi, BSc. Pharm, MSc. Clinic Pharm, Allied Medical Services Hail, SAUDI ARABIA. Abstract:Objectives: To explore pharmacist’s knowledge of High-risk/Alert medications in Saudi Arabia. Methods: It analyzes a cross-sectional survey discussing pharmacist knowledge of High-risk/Alert medications in Saudi Arabia. The survey consisted of respondents’ demographic information about pharmacists, the High-risk/Alert medications assessment of basic knowledge, and The Resources used about the High risk or high-alert medications. The 5-point Likert response scale system was used with closed-ended questions. The survey was validated through the revision of expert reviewers and pilot testing. Besides, various tests of the reliability of McDonald’s ω, Cronbach alpha, Gutmann’s λ2, and Gutmann’s λ6 been done with the study. Furthermore, the data analysis of the pharmacist’s knowledge of High-risk/ Alert medications is done through the survey monkey system. Besides, the statistical package of social sciences (SPSS), Jeffery’s Amazing Statistics Program (JASP), and Microsoft Excel sheet version 16. Results: A total number of 442 pharmacists responded to the questionnaire. Of them, more than one-third responded from the Central region (183 (40.40%)), and one Quarter responded from the Western part (119 (26.92%)), with statistically significant differences between the provinces (p=0.000). Males responded more than females (264 (59.59%)) versus 179 (40.41%)), with statistically significant differences between all levels (p=0.000). Most of the responders were in the age group of 24-30 years (266 (59.91%)) and 31-35 years (78 (17.57%)), with statistically significant differences between all age groups (p=0.000). Most of the pharmacists were staff pharmacists (323 (72.75%)) and pharmacy supervisors (56 (12.61%)), with statistically significant differences between all levels (p=0.000). The average score of knowledge of pharmacists about High-risk/ Alert medications was (3.71). The pharmacists familiar with prohibited abbreviations during High-risk/Alert prescribing medications obtained the highest score (4.42). The element “heard about the concept of High-risk/Alert medications” got the second highest score (4.39), with a statistically significant difference between the responses (p<0.000). Followed by the pharmacists familiar with look-alike sound-alike of Highrisk/ Alert medications (4.30) and know the narcotics and controlled medications (4.27) ), with a statistically significant difference between the responses (p<0.000). The most used resources for High-risk/Alert or high-alert medication information were Drug information resources (Lexi comp-drug information, Micromedex, Epocrates etc. 345 (78.05%), and Scientific literature 222 (50.23%). They were followed by Health practitioners 206 (46.61%) SFDA website 157 (35.52%). Conclusion: The pharmacist’s knowledge of High-risk/Alert medications is adequate in Saudi Arabia. However, an expanded basic and advanced understanding of High-risk/Alert areas is needed to improve pharmacy performance, patient safety, and quality of life in Saudi Arabia. Keywords:Alert, Drugs., High-risk, Knowledge, Medications, PharmacistView:PDF (275.13 KB) PDFClick here to download the PDF file. Images Pharmacist’s Knowledge of High-risk/Alert Medications in Saudi Arabia

A Pseudo Random Pursuit Strategy for Atomic Clocks

The atomic clock prediction algorithm is a critical part of the atomic time scale system to ensure its stability and accuracy. Random pursuit strategy (RPS) has been verified on the prediction capability of hydrogen maser and cesium clock in our previous works. This method is applied to deal with data impacted by different noise types including hetero-variance white noises and jumps. Nevertheless, it is difficult to apply RPS to real-time clock prediction, owing to its computational complexity. To alleviate it, we further improved our original algorithm by simplifying the random grouping using a pseudo-random strategy. In our work, theoretical analysis and necessary simulations of the pseudo-random pursuit strategy (PRPS) are presented, and the experimental results show PRPS’s remarkable advantage in terms of operational efficiency. Compared to the original algorithm, it shows comparable accuracy and stability for prediction. PRPS takes only 1/p fitting time consumption as long as RPS starts from the second prediction. PRPS is faster, more efficient, and easier to employ when utilizing a clock predictor as the output of a system than RPS.

Discrete element modeling of a particle heater for energy storage systems

A heater where particles fall under gravity and flow over a series of hot angled surfaces is simulated. The conductive, convective, and interphase heat transfer are simulated for all particles via discrete element modeling (DEM). The heater inclination angle, particle-particle and particle-wall friction coefficients, and thermal contact resistances are parametrically varied. Decreasing the inclination angle increases the residence time and overall heat transfer coefficient. Low values of the friction coefficients slow the particles and increase heating, but moderate to high values of friction dilute the flow and decrease the heat transfer. The contact resistance between particles is difficult to accurately characterize, so a wide range is studied. The contact resistance is altered by varying the particle roughness from 27.5 nm to 1 μm, which reduces the overall heat transfer coefficient by 25%. A reduced order model is developed and validated to extrapolate the small-scale DEM results to a larger-scale system. • A novel particle heater is parametrically studied using discrete element modeling. • Increasing inclination angle decreases heat transfer due to lower residence time. • Small friction coefficients increase heat transfer due to higher residence time. • Large friction coefficients decrease heat transfer because flow dilutes. • Developed a reduced order model to predict the temperature in larger scale systems.

Joint Resource Scheduling for AMR Navigation Over Wireless Edge Networks

The future of autonomous systems will rely on the usage of wireless time-sensitive networks to connect mobile cyberphysical systems, such as Autonomous Mobile Robots (AMRs), to Edge compute platforms to offload computationally intensive workloads necessary to complete tasks. In the case of AMRs, due to their mobility, the offloading of expensive processes such as localization and tracking methods to the Edge computing infrastructure must also be done over dynamic wireless networks. In larger scale systems, the network and compute resource requirements can quickly become prohibitively large due to network traffic and heavy workloads and tight deadline requirements for proper execution of time-critical tasks. In this paper, we formulate the problem of jointly allocating network and compute resources for time sensitive systems as the state of the wireless channel changes over time. By characterizing a compute model for AMR workloads, we further demonstrate how the network and compute scheduling decisions can be serialized, thus making the optimal scheduling problem significantly more tractable, via the incorporation of a compute-utility aware network cost function. Simulation results of AMR systems in a Wi-Fi network demonstrate substantial gains over baseline scheduling methods in total resource efficiency.

RANCANG BANGUN ALAT PEMANTAU BERAT MENGGUNAKAN ANDROID BERBASIS MIKROKONTROLER

Digital scales are measuring instruments to measure the mass weight of objects or substances with a digital display. In its use, scales are used in various fields, from trade, industry to service companies. In this case, digital scales have many advantages, including: the mass of the scale itself is lighter than manual scales, the results of measuring the measured load are more accurate, suitable for measuring small objects, in terms of design digital scales seem more modern and in terms of maintenance required it is very easy to do. Measuring instruments are designed and made by prioritizing the ability of measuring instruments such as accuracy, accuracy, and reading ability. There are two category systems in scales, namely Analog Scales and Digital Scales. &#x0D; Load cell is the core component contained in the Digital Scale which functions as a pressure sensor that will convert the analog signal generated by the Load Cell to the amount of electricity. The reading of the load cell data will be processed by Esp 8266 through the HX711 system to convert the amount of potential that occurs in the load cell into digital data. This method uses the measurement principle carried out by Loadcell using the pressure principle that utilizes the Strain Gauge as a sensor. This is evidenced by the results of testing the condition of the tool in good condition and in accordance with the accuracy when the object is weighed to get a result of 99%.

The Utilization of Augmented Reality Technology for the Development of Tourism Information Media

The industrial revolution 4.0 has brought tourism trends using enriched interactive technology services. Technology in the world of tourism has helped the expansion of the industry through the promotion and mediation of independent tourists to carry out all services and transactions easily, including obtaining tourist information. This study aims to develop promotion media for geography education tourism in Soppeng Regency and test the effectiveness of the media. This study adopted the Alessi &amp; Trollip learning multimedia development model. The developed media was tested on 20 respondents with 10-item usability scale statements and 5 response options ranging from agreeing to strongly disagree. The level of effectiveness of the media developed after being tested using the usability scale (SUS) system is included in the Good category (good) with an average score of 76.5. This level of effectiveness is included in the acceptable to users or acceptable category, with a grade scale of C and an adjective rating in the Good or good category. The results of this study also indicate that users are satisfied with the developed media but are not enthusiastic so that users can switch to other, more interesting media at any time. In the end, based on the final score obtained, it was concluded that the promotion media for geography education tourism in Soppeng Regency (battle city application) was effective and acceptable to users.Â

Evaluating Village-owned Enterprises and SMEs Businesses Engagement Through Web Application Using System-Usability Scale

Village-owned enterprises (BUMDesa) and Small and Medium Enterprises (SMEs) are enabled to strengthen the rural economy. The two entities shall collaborate and will help the rural economy become more adaptive and sustainable. One approach to collaborate is using digital technology, such as web applications. It will allow businesses to survive by gaining potential networking and cross-border markets through online marketing. This collaboration can be done using a digital technology approach where both roles are needed to improve the village economy. If this technological approach is not implemented, then marketing will be limited so that it will have an impact on the village economy. The qualitative and scrum approach is used to develop the digital web. The result shows differences between BUMDesa and SMEs' roles toward the web application. BUMDesa can make better managerial through digital businesses so that BUMDesa can accelerate SMEs' productivity by opening new markets and business perspectives to SMEs. The testing process is carried out to prevent the failure of website development by implementing a usability test, namely the Usability Scale (SUS) System. The tests carried out show that the proposed design gets a good score of 69.63, so it is effective and efficient to be implemented in website development. SMEs can gain a broader market, improve their production standard, and add production capacities. The collaboration will map and profile their strengths and weaknesses to minimize the implementation gap. In addition, the BUMDesa and SMEs will invest in social capital, which means the ability to establish cooperation, trust, and participation, in the local community to benefit from the social network. It will improve innovation capability

Toxic gas removal with kaolinite, metakaolinite, radiolarite, and diatomite

In this study, some clays and dead microorganisms were compared in terms of their adsorption ability against special toxic gases. To this end, an experimental investigation was conducted to explore the adsorption kinetics of kaolinite, metakaolinite, radiolarite, and diatomite to ammonia (NH3), ethylene (C2H4), and carbon dioxide (CO2). Numerous analyses, such as x-ray fluorescence (XRF), x-ray diffraction (XRD), thermo-gravimetric analysis (TGA), scanning electron microscopy (SEM), and particle size distribution, have been performed for mineralogical and structural characterization of studied materials. Also, adsorption characteristics were investigated with the help of an ultra-precision scale and computer-controlled multi-gas control system. Since ammonia has the highest dipole moment among all studied gases, its removal efficiency was found as the highest in all materials. Regarding clay substances, metakaolinite indicated a lower response than kaolinite due to phase transformation. But, considering the microorganisms, diatomite toxic gas uptake is at least five times better than examined clays while the gas uptake behavior of radiolarite is analog to metakaolinite. Moreover, the adsorption behaviors of proposed materials are clarified with Langmuir isotherms, The results could facilitate improvements in applying microorganisms to the toxic gas environment as a natural adsorbent material.

Rancang Bangun Alat Pemantau Berat Menggunakan Android Berbasis Mikrokontroler

Digital scales are measuring instruments to measure the mass weight of objects or substances with a digital display. In its use, scales are used in various fields, from trade, industry to service companies. In this case, digital scales have many advantages, including: the mass of the scale itself is lighter than manual scales, the results of measuring the measured load are more accurate, suitable for measuring small objects, in terms of design digital scales seem more modern and in terms of maintenance required it is very easy to do. Measuring instruments are designed and made by prioritizing the ability of measuring instruments such as accuracy, accuracy, and reading ability. There are two category systems in scales, namely Analog Scales and Digital Scales. &#x0D; Load cell is the core component contained in the Digital Scale which functions as a pressure sensor that will convert the analog signal generated by the Load Cell to the amount of electricity. The reading of the load cell data will be processed by Esp 8266 through the HX711 system to convert the amount of potential that occurs in the load cell into digital data. This method uses the measurement principle carried out by Loadcell using the pressure principle that utilizes the Strain Gauge as a sensor. This is evidenced by the results of testing the condition of the tool in good condition and in accordance with the accuracy when the object is weighed to get a result of 99%.

E-learning user interface design for lecturers based on usability scale system approach (Case Study: E-Learning Universitas Muhammadiyah Magelang)

Universitas Muhammadiyah Magelang provides an online learning service portal through an e-learning website MOCA. However, the low level of use of the MOCA website and the usability problems that usually arise in MOCA, indicate the need for usability testing. Usability testing is carried out to measure usability aspects, namely: effectiveness, efficiency, and user satisfaction. This study used a System Usability Scale questionnaire which was tested on 61 lecturers. This study aims to measure usability aspects according to the user's subjective assessment. The results of the study can describe the level of usability of MOCA from the user's point of view. the results of the MOCA usability test using the SUS method got a score of "64" and this figure is still below the average (below average) of 68. For acceptable ranges, it shows that the current MOCA is in a "marginal (high)" position, for the grade scale gets a “D” predicate, and for adjective ratings it can be said to be “OK” and that means the current MOCA quality score is acceptable but needs a lot of improvement. In addition, this study provides recommendations in the form of a prototype designed based on suggestions from respondents and then tested based on the heuristic aspects of the relevant journal. The prototype design that has been designed is tested on 5 respondents as evaluators. The results of the heuristic test obtained were "4.32" which means 5 respondents were "satisfied" with the prototype user interface design proposed by the researcher.

E-recognition of Motorbike License Plate using Python and SQLite

Objectives: (1) To solve the problem of inefficiency and inaccuracy of vehicle monitoring; (2) To propose and develop a software that will serve as the initial replacement to a man-to-man motorbike monitoring; (3) Evaluate the components of the system in terms of functionality, efficiency, and accuracy. Methods: Waterfall model was used in the system development model. The proposal is a system development and evaluation. Python 3.6 was used in program coding, the Graphical User Interface (GUI) used was Tkinter, the database was SQLite, and the image processing OpenCV was utilized. KNN algorithm was used as the machine learning technique. Using Slovin’s formula in finding the sample of respondents with 95% of confidence level and 5 % margin error, resulted 33 respondents. The survey questionnaire is ISO 9126 Quality Software as the bases for software evaluation. Frequency distribution, percentage, and weighted mean were used to interpret the data gathered from the software evaluation metrics. Findings: Using the Likert Scale System, the weighted mean of efficiency is 4.25 described as Highly Acceptable, and the weighted mean of accuracy is 4.73 interpreted as Highly Acceptable. The overall mean is 4.49 interpreted as Highly acceptable. The functionality of the software using the percentage and frequency distribution is 100% functional. The proposal is a solution for inefficient and inaccurate of motorbike monitoring. The overall interpretation can be considered as recommendation for further study and additional features for advance version of vehicle license plate recognition. Limitations or non-recognizable pieces found in the license plate can be bearable for future studies recommended. Novelty: Initial Step in replacing the man-to-man motorbike License Plate Monitoring. The Author ‘s version in developing a software that will solve the inefficient and inaccurately monitoring of the status of the congested number of vehicles passing in and out in a certain vicinity, specifically motorbikes. Keywords: e-recognition; Motorbike; Man-To-Man Monitoring; Replacement; License Plate

Engineering the Performance and Stability of Molybdenum Disulfide for Heavy Metal Removal.

Molybdenum disulfide (MoS2) has recently emerged as one of the most promising water nano-based adsorbent materials for heavy metal removal with the potential to provide an alternative to conventional water decontamination technologies. In this study, we demonstrate the trade-off between mercuric removal capacity and overall MoS2 adsorbent stability, both driven by MoS2 synthesis parameters. A bottom-up hydrothermal synthesis setup at various growth temperatures was employed to grow flower-like MoS2 films onto planar alumina supports. A thorough material characterization suggests that an increase in growth temperature from 150 to 210 °C results in higher MoS2 crystallinity. Interestingly, elevated growth temperatures resulted in poor mercuric removal (525 mg g-1, K = 2.2 × 10-3 h-1), yet showed enhanced chemical stability (i.e., minimal molybdenum leaching during exposure to mercury). On the other hand, low growth temperatures produce amorphous supported MoS2, exhibiting superb mercuric removal capabilities (5158 mg g-1, K = 36.1 × 10-3 h-1) but displaying poor stability, resulting in substantial byproduct molybdate leaching. Mercuric removal by crystalline MoS2 was accomplished by adsorption and electrostatic attraction-based removal mechanisms, whereas redox reactions and HgS crystallization-based removal mechanisms were more dominant when using amorphous MoS2 for mercury removal. Overall, our study provides essential insights into the delicate balance between MoS2 mercuric removal capabilities and MoS2 degradation, both related to material synthesis growth conditions. Employment of nano-enabled water treatments in general, and MoS2 for heavy metal removal in particular, requires us to better understand these important fundamental trade-off behaviors to achieve sustainable, effective, and responsible implementation of nanotechnologies in large scale systems.

Influence of cooling conditions of HTS assembly on the characteristics of a moving maglev system

Background: analysis of the influence of cooling conditions of high-temperature superconducting elements on the power characteristics of a maglev system under conditions of rapidly changing magnetic fields&#x0D; Aim: analysis of the influence of cooling conditions of high-temperature superconducting elements on the force characteristics of a magnetic-levitation transport platform under conditions of rapidly changing magnetic fields caused by the inhomogeneity of the magnetic track.&#x0D; Methods: numerical analysis of the maglev system was performed by the finite element method in the Comsol Multiphysics engineering simulation software.&#x0D; Results: at fast, more than 5 T/s, magnetic field change rates, due to the motion of the superconductor in a magnetic field with a non-uniform local distribution, the preferred method of cooling is the use of cryocooler technology. At rates of change of the magnetic field less than 5 T/s, it is permissible to use liquid nitrogen as a cooler.&#x0D; Conclusion: The developed numerical model makes it possible to predict the dynamic characteristics of levitation systems of various scales and can be applied to contactless transport, as well as in rotating machines, including kinetic energy storage devices.

Association of Non-Dipping Blood Pressure Patterns with Diabetic Peripheral Neuropathy: A Cross-Sectional Study among a Population with Diabetes in Greece

Diabetic peripheral neuropathy (DPN) is present in 20-50% of cases with diabetes. The pathophysiology of DPN is not yet clear regarding hypertension (HTN). The aim of this study was to assess the association between the stages of DPN and HTN in a Greek population with diabetes. We examined 102 adults for diabetic neuropathy (DPN) from November 2020 to December 2021, using the Toronto Clinical Neuropathy Scale System (TCNSS) to categorize them into two groups (no/mild DPN versus medium/severe DPN). Ambulatory blood pressure monitoring was performed to evaluate their hypertensive status. Univariate and multivariate logistic regression analyses were performed to assess the association between the stage of DPN and HTN. The multivariate analysis, considering sex, age, and dipping status, did not show statistically significant associations between stages of HTN and DPN. However, in contrast to dippers, non-dippers had an almost four-times higher risk of developing medium-to-severe DPN (odds ratio (OR) 3.93; 95% confidence interval (CI) [1.33-11.64]); females, in contrast to males, had a 65% lower risk of developing moderate/severe DPN (OR 0.35; 95%CI [0.14-0.92]). In conclusion, our findings showed no statistically significant associations between DPN and HTN; however, dipping status, hyperglycemia, and female sex were shown to play a role in the pathophysiology of DPN.

Decentralized iterative learning control for constrained collaborative tracking

ABSTRACTHigh performance collaborative tracking where multiple subsystems work together repetitively to track a reference has found applications in various areas. To meet the high accuracy requirements, iterative learning control (ILC) has recently been used. However, most existing designs ignore the system constraints that are often encountered in practice. Furthermore, they usually have a centralized structure (or controller parameter) that needs to be redesigned or re‐tuned when the system changes which may cause difficulties for handling large scale systems. In this article, we consider the constrained collaborative tracking problem and propose a novel constrained ILC design. The resulting ILC algorithm guarantees not only the satisfaction of the system constraints, but also the monotonic convergence of the collaborative tracking error norm to a minimum (possible) value. We further develop a decentralized implementation of the proposed algorithm using the alternating direction method of multipliers, allowing the design to scale up to large scale and varying system dynamics. Finally, we provide numerical examples to verify the algorithms' effectiveness.