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].

氦閃是類太陽恆星演化過程的關鍵事件之一，過去已有人建立了不同初始質量、不同金屬豐度的恆星演化模型，但礙於當時的科技水平，無法直接計算氦閃的過程，只能在水平分支時透過導入模型繼續運算。如今因為模擬程式的進步，已能補足以往之缺漏，以新的視角來檢視恆星演化的過程。 本研究使用功能強大的 MESA進行恆星演化的模擬，再以 Python將模擬結果繪製成可視化圖表，來探討金屬豐度對類太陽恆星氦閃過程及恆星演化的影響。經分析得知恆星的金屬豐度與能夠發生氦閃的初始質量上下限呈正相關。而在會發生氦閃的恆星中，金屬豐度與其氦閃前的表面光度為正相關。隨後因為金屬豐度氦閃釋放的功率峰值呈負相關，導致其與氦核溫度與密度的變化也呈負相關，所以金屬豐度與恆星氦閃後的光度呈負相關；並因為金屬豐度與氫包層質量呈負相關，所以其與恆星在氦閃前及氦閃後的溫度也呈負相關。

This project had one purpose: creating almost unbreakable encryption by breaking a Caesar – and Vigenère Cipher and getting familiar with how they work. Created a program to encrypt and decrypt messages with a Caesar Cipher and Vigenère Cipher encryption. Breaking these encryptions in these programs will help to identify the factors that contribute to strong and weak encryption systems. A program was created to encrypt messages using Caesar Cipher with a key from 1 to 25 and decrypt messages without knowing the original key by doing different types of “attacks” on the system: a brute force and frequency analysis attack. Created another program to encrypt messages using Vigenère Cipher with a keyword or keyphrase and decrypted messages whilst knowing that original keyword. Tested and compared the two different cyphers when being attacked. This helped identify factors that influenced the strength of encryption and identified the advantages and disadvantages of each Cipher as well as the weaknesses in each attack. Through testing and breaking a Caesar and Vigenère Cipher successfully, multiple factors were identified that influenced the strength of the encryption system. These were used to ensure the new encryption created will be as strong as can be. Comparing the success rate of the different attacks on each Cipher, the similarities, weaknesses and strengths in the Brute Force and Frequency Analysis attacks were found.

Most people in the country tend to consume soda as part of their daily lives, without thinking about the health consequences that this entails. And the fact is that 墨西哥 is considered the main consumer of soda in the world (Universidad Nacional Autónoma de México [UNAM], 2019), and not only that, it also tops the lists of obesity and diabetes (Procuraduría Federal del Consumidor [PROFECO], 2018). A bad diet is one of the main causes of these medical conditions, so it is necessary to rethink the foods of daily consumption. In this project, the development of a carbonated beverage with three main ingredients: purple corn, hibiscus, and pineapple, which contain diverse nutritional properties in addition to having significant amounts of antioxidants (Secretaría de Cultura,2020; Sumaya et al., 2014; Kongsuwan et al., 2009), is established as an objective. In addition, antioxidants act as regulators of cellular aging and prevent chronic diseases (Vilaplana, 2007). For this reason, the elaboration of a beverage with these characteristics is considered harmless and a good option for people with a chronic disease or who are prone to it, as well as a healthy alternative to the consumption of soft drinks. In this project, an experimental methodology was followed to prepare the nutritional beverage, which had nutritional properties, such as vitamin and antioxidant content, in addition to having a pleasant taste and texture.

The economy around the world is changing rapidly, with new ways of industrial production being introduced all the time. This is due to the Fourth Industrial Revolution. The main objectives of Industry 4.0 [5] are digitalization and full automation of production processes, which increase productivity and worker safety.

Certain specially structured ceramics, which can be used as biomaterials to replace bone, have recently started being utilized in the medical field. The aim of this study is to produce high-bioactivity silica from corn cob waste, a widely available organic material in nature, and combine it with calcium oxide (CaO) obtained by grinding organic mussel shell waste with high bioactivity. This combination is intended to synthesize dicalcium silicate (2CaO.SiO₂) to develop an alternative tissue scaffold with high bioactivity, capable of replacing bone, for existing titanium alloys. The goal is to incorporate this scaffold into PEEK (polyether ether ketone), a novel tissue scaffold material, at varying percentages to create a next-generation innovative bone substitute material. An additional objective is to demonstrate through biocompatibility tests that the produced ceramic-polymer biocomposite exhibits antibacterial activity against Staphylococcus aureus.

Nanotechnology, a transformative force, has steadily gained traction across multiple scientific disciplines, including physics, chemistry, engineering, and biology. It offers unprecedented capabilities, especially in the realm of nanoscale particles, ushering in new paradigms in various applications. One of the most revolutionary applications of nanotechnology is in the pharmaceutical sector. Here, nanoparticles have transformed drug and vaccine delivery systems, offering both efficacy and precision. Among these nanoparticles, lipid nanoparticles (LNPs) have stood out, especially for their role in delivering nucleic acid-based drugs and vaccines. These LNPs are intricate assemblies composed of lipids and nucleic acid complexes, offering an amalgamation of stability and deliverability. Such properties have rendered LNPs as invaluable tools in enhancing therapeutic efficacy while minimizing off-target side effects. The myriad of nanoparticles available includes the likes of silver, gold, and lipid nanoparticles. However, the emphasis of this research lies with lipid nanoparticles, given their widespread success in the pharmaceutical arena. LNPs have showcased their potential in delivering drugs with low therapeutic indices, emphasizing their capability to act as versatile platforms for novel drug development. Recent advances have further expanded the horizons of LNPs, paving the way for novel antisense oligonucleotides, innovative vaccines, and complex lipid nanoparticle formations. Characterizing these nanoparticles is paramount, not only for the development of novel drugs but also to comprehend their in vivo behavior. Their multifaceted nature, stemming from their unique excipients, core-bilayer design, and varying sizes, makes their characterization a critical step in the research and development pipeline.

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.

現代社會中，睡眠剝奪已成為普遍問題，人們對其對免疫系統及整體健康的負面影響愈加關注。本研究使用特製的旋轉鼠籠讓小鼠連續72小時保持清醒，探討急性睡眠剝奪對小鼠免疫反應的影響。研究發現NK細胞與脾臟中的記憶CD8 T細胞比例明顯減少，顯示細胞毒性功能受損或記憶免疫反應下降。與此同時，抗炎細胞因子的表達增加，而促炎細胞因子和相關基因的表達則有顯著下調。此外，雖然觀察到B細胞比例有所增加，這可能是免疫系統在細胞免疫功能受損時，維持免疫穩態的反應。這些發現揭示了睡眠剝奪可能抑制免疫系統造成損害。本研究強調適量睡眠對維持免疫平衡的重要性，並指出睡眠不足可能促進慢性免疫問題的發展。在此基礎上，後續研究可探討短期睡眠剝奪與腫瘤及免疫系統的關聯，並延伸至長期剝奪的影響。

The idea of dramatically reducing the cost of the production dry cell, reducing its carbon footprint, and being able to be an alternative to current materials such as biochars really propels the interest of performing this project research. Biochars from durian husk, bamboo and coconut shell are promising alternative chemical materials of the anodes in the dry cell due to their eco-friendly traits and availability in the trophic areas which covers about 40% of the land on earth. Using the technique of pyrolysis, the latest and the best technique to produce a high carbon content biochars, the dry cell uses the potassium hydroxide as the electrolyte and manganese dioxide as the catalysts that make the biochar mixture to produce maximum voltage of 65% from the dry cell sold in the current market. The voltage analysis of the biochar dry cell was done in our school science laboratory and then, characterization tests analysis was carried out on the products from the specific biomass namely the SEM/EDX analysis, at the Material Characterization Laboratory (MCL), Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra 馬來西亞. Based on our research, the biochar obtained from the raw materials (Durian Husk, Bamboo and Coconut Shell) had shown different characteristics. The bamboo biochar had shown the most amount of carbon content which is 86.64% more than the durian husk biochar (72.77%) and coconut shell biochar (65.57%). On the other hand, based on the micrograph, we observed that the durian husk biochar had shown much created pores rather than bamboo biochar and coconut shell biochar. In our study, we found out that the average voltage produced by the three different biochars have shown that Durian Husk char dry cell produced the highest voltage which is 0.97V, more than the bamboo char (0.62V) and coconut shell char (0.73V). In conclusion, the biochar dry cell produced are much cheaper in term of its production as our biochar dry cell uses biomass that are freely available and comes from renewable source of energy, the best ingredient for Green Technology.