Mattress Ventilation System
One of the worldwide hidden problems with lack of attention is Bedsores. Simply, These are ulcers, that happen on the areas of the skin that are under pressure while lying on the bed for a prolonged time. This can be infected to anyone in the world. The common group who face these bed sores are..... •Elderly patients, •Spinal cord injury patients, •Stroke patients, •Coma patients, •People who have faced accidents Bed sores develop when the blood supply is cut off for more than 2-3 hours to the skin, (Position changing time depends on the patient's condition) The continuous pressure is the cause for that and also the temperature generated between the skin and the bed surface increases the metabolism of the tissues. When the skin temperature increases by 1°C, the risk of bed sores increases approximately 14 times. So, The skin temperature in the range of 29.4°C to 37.1°C is correlated with the tissue damage score. Not only that shearing and moisture are the other considerable factors for this problem. This infection has 4 stages. Sometimes in the 4th stage of the bed sores can cause death.
In silico Investigation of Cyclosporine Conjugates as Potential Anti-angiogenic Agents via NFAT Inhibition
Calcineurin (CN) activation is a main cause of cancerous tumor formation, one of the leading causes of death globally. Cyclosporine-A (CsA) is a commercially available oral drug that inhibits CN activation; however, low bioavailability limits its use. Nine patented CsA conjugates are potential alternatives to CsA as they have improved cytotoxicities and bioavailabilities but unknown CN-binding affinity. This study aimed to identify the CNinhibition strength and bioavailability of CsA conjugates in silico drug-likeness evaluation via modified Lipinski’s Rule of Five was done on CsA, voclosporin, and CsA conjugates to test bioavailability. The binding affinities of bioavailable compounds were computed via docking to CN in five trials, and the binding affinities were compared. The Water-soluble, RVal, IIA, Alpha, and MeBmt 2 conjugates showed improved bioavailabilities compared to CsA as they passed the drug-likeness screening. After five trials of computational docking to CN, the IIA and RVal conjugates showed improved binding affinities at -15.8 kcal/mol and -15.2 kcal/mol, respectively, compared to CsA at -14.3 kcal/mol. Notably, IIA also showed an improved binding affinity compared to voclosporin at -15.5 kcal/mol. These results suggest that CsA conjugates may be better oral chemotherapeutic drugs than CsA.
Desert to Fertile Land: Developing TEPA‐modified montmorillonite clay as an efficient CO2 adsorbent to enhance soil fertility
Global warming is a phenomenon in which the Earth's overall temperature rises as a result of increasing concentrations of greenhouse gases in the atmosphere. Among the major greenhouse gases, carbon dioxide (CO2) is the primary greenhouse gas that contributes significantly to global warming [1,2]. The concentration of carbon dioxide in the atmosphere is rising due to human activities such as burning fossil fuels (coal, oil, natural gas), as well as changes in land use and vegetation [3]. Carbon dioxide and other gases, such as methane and nitrogen monoxide absorb infrared radiation and redirect it back to Earth, warming the planet [4]. This rise in temperature can impact ecosystems, climate, water resources, agriculture, public health, and societies in general [5]. To combat global warming and reduce carbon dioxide concentrations in the atmosphere, many countries around the world, including Saudi Arabia, are working to achieve a vision to reduce carbon emissions by reducing their carbon emissions by 278 million tons per year by 2030 in line with the Paris Agreement, for climate. The Kingdom is committed to generating 50% of its electrical energy from renewable sources by 2030. In addition to the shift in the local energy mix, the Saudi Green Initiative is implementing a number of ambitious programs and projects to reduce emissions. These programs include investing in new energy sources, promoting energy efficiency, and expanding carbon capture and storage programs [6]. Through these initiatives, the Kingdom will be able to achieve its climate goals and establish a sustainable future (Figure 1). In addition, the Paris Climate Change Agreement includes 196 countries and the European Union, covering most of the world. This agreement aims to achieve carbon neutrality by taking measures to reduce carbon dioxide emissions [7].
From Human Intelligence to Artificial Intelligence Chatbots: Modern Day Writing
The purpose of the project was to find out whether humans can tell the difference between human-generated text and artificial intelligence (AI) chatbots-generated text and to identify how Al-generated text differs from human-generated text. The dependent variable was the results given by the participants (whether the paragraphs were Al-generated texts or human-generated text). The Independent variable was the participants in the experiment and the controlled variable was the type of paragraphs (both the Al-generated texts and human-generated texts) and time used to test each participant. The hypothesis for this experiment was that the participants were not going to be able to differentiate between AI-generated text and human-generated text. In this descriptive and mixed-method study, participants were presented with questionnaires. Each participant needed to state whether they thought each paragraph was human-generated or AI-generated. At the end of the questionnaire, the participants were asked to briefly explain what assisted them in differentiating between the two. They were given 60 seconds to decide. A stopwatch was used to time them. A sample of 456 participants took part in this project. They were not told how many AI-generated passages and human-generated passages there were in the selection. They only knew the total number of passages. Over 99% of the participants could not correctly differentiate between AI-generated text and human-generated text in all passages. Only four participants were able to get 100% of the questions correct. All four learners attend schools located in urban areas. After I did my analysis, I discovered that my hypothesis was incorrect. Four of the participants were able to get 100% of the questions correct this indicates that not all the participants were not able to tell the difference between Al-generated text and human-generated text. This rejects my hypothesis. However, the chances of humans differentiating between the two are very low. All four learners attend schools located in urban areas; this indicates that it is easier for learners attending urban area schools to recognise AI-generated texts than learners attending schools located in rural areas.