bluuebunny/crossref_metadata_2025 huggingface dataset:
Nörogenetik
Authors: İşeri Sibel Aylin Uğur İşeri
Published: April 2023

Approximately 5 million individuals in Turkey have been afflicted with a rare disease. Difficulties experienced from diagnosis to treatment of rare diseases can only be solved with long-term, multidisciplinary and personalized approaches. Since neurological involvement is observed in at least half of all rare diseases, neurogenetic diseases constitute an important model in the context of rare disease research. The practical use of next-generation sequencing (NGS) technologies has made it possible to determine the heterogeneous genetic background of neurogenetic diseases. NGS oriented personalized and accessible genetic diagnosis has enabled characterization of de novo and mosaic variations, and demonstrated the genotype-phenotype relationships on a large scale. These milestones in the diagnosis of neurogenetic diseases have also been a light of hope for the treatment options. In particular, the rapid development of CRISPR-based gene editing technologies and high-efficiency gene transfer strategies in paralel with NGS have paved the way for new generation molecular treatments.
Gen Terapisi
Authors: Yüksel Adnan
Published: April 2023

Gene therapy is the process of transferring DNA or RNA molecules into human cells, organs or tissues in order to correct a gene that does not function normally and causes missing or faulty protein production. Today, molecular techniques such as gene therapy, gene editing and gene silencing are used in the treatment of hereditary diseases and acquired diseases such as cancer and infection. Continuing studies in the field of gene therapy for many years have led to significant developments in recent years with advances in the field of molecular genetics. The most important achievement in gene therapy is that it has become possible to design specific viral vectors, plasmids, nanoparticles, and microRNAs as desired to deliver the gene sequence created to provide the desired function into the cell. A successful vector can deliver the DNA fragment conveniently to target cells with little toxicity.
Kanser Genetiği ve Kanser Tedavisinde Moleküler Prensipler
Authors: Çizmecioğlu Onur
Published: April 2023

Cancer is a multi-step disease that occurs as a result of irreparable DNA damage, viral factors and genetic mutations which cause excessive cellular growth. Changes in cancer cells lead to activation of some signal transduction mechanisms and loss of function in tumor suppressor genes. Millions of people worldwide, from different socioeconomic backgrounds and age groups suffer from this disease. According to the data of the World Health Organization (WHO), around 14 million people are diagnosed with cancer every year. The resistance mechanisms to chemo/radiotherapy and metastasis have made cancer one of the most deadly diseases of the present-day. It is thought that around 10 million people worldwide died due to cancer in 2020, which corresponds to one-sixth of the total human deaths. Considering the increase in the world population and aging, WHO projects the global burden to develop as 21.7 million new cancer cases and 13 million cancer deaths by 2030. In the light of these data, the need for groundbreaking innovations in cancer treatment is an undeniable reality. This review article will begin with a description of the hallmarks of cancer and proceed with the genetic background of the disease and the molecular principles of its treatment. At the end of the article, signalling modalities that have important potential in cancer treatment but are difficult to target and aim to define possible treatment strategies will be discussed.
Biyogüvenlik
Authors: Çam F. Sırrı
Published: April 2023

Globally we are experiencing a unique period of progress and innovation in life sciences. This situation continues to change our way of life. At the beginning of the 21st century, biotechnology (including gene technology) is seen as the key technology of the future. The identification of genetic information and the applications of genetic engineering are currently imprinted in many areas of human activity. These developing technologies include destructive potentials that are both powerful and difficult to control. The revolution in biotechnology, the new tools used to analyze and specifically modify an organism’s genetic material, has led to an increased risk of bio-warfare, depending on various factors. Modern biology and medicine facilitated the production of biological weapons in the 20th century. Biological weapons have the potential to kill far more people than a nuclear attack. Moreover, unlike nuclear weapons, biological weapons, which are difficult and expensive to achieve, are now produced easily and cheaply, with the development of life sciences and related technologies. The use of biological weapons by state or non-state actors poses a significant threat to our national security. The possibilities in very few countries in previous years are now being used in almost all countries. Many governments now have technological potential to produce pathogenic microorganisms in large quantities and in a safe manner. Classical bio-warfare agents can be made much more efficient than natural counterparts even with the simplest genetic techniques. Genomic sequencing has led to the production of bioweapons designed using a new generation of genetic engineering that has the potential to change the nature of modern warfare and advocacy. In the biological weapons industry, methods of manipulating genes can be used to create new pathogenic features that aim to increase the effectiveness of the weapon through genetic engineering, increased survival, infectivity, virulence and drug resistance. The National Security Strategy provides the basic principles that define the security, national interests and objectives of an individual, the challenges surrounding the security environment and national security surrounding the country, and the strategic approaches to address those challenges.
In-vitro evaluation of novel fungicides against leaf spot and flower blight of marigold by different techniques
Authors: Satapathy Rakesh Roshan , Sahoo Kartik Chandra
Published: April 2023

Leaf spot and flower blight caused by Alternaria zinniae is serious disease of marigold causing yield loss of 50-60 % in crop. Many previously used fungicides showed resistance against the pathogen. So, the present investigation was carried out with an objective to study the efficacy of new fungicides available in the market using poison food technique, well diffusion technique and disc diffusion technique. Three fungicides such as azoxystrobin +tebuconazole, tebuconazole + sulphur, Metalaxyl were evaluated at the concentration of 0.1%, 0.15%, 0.2% respectively. The present investigation revealed that Azoxystrobin + Tebuconazole recorded maximum mycelial growth inhibition of 96.85% followed by Tebuconazole + Sulphur 96.40% and Metalaxyl of 95.50% in poison food technique. Similarly, Azoxystrobin + Tebuconazole showed the highest inhibition of mycelial growth (88.10%), followed by Tebuconazole + Sulphur (86.36%), and Metalaxyl (84.38%) in well diffusion technique. In a same manner Azoxystrobin + Tebuconazole showed the highest inhibition of mycelial growth (77.73%), followed by Tebuconazole + Sulphur (75.10%), and Metalaxyl (72.25%) in disc diffusion method. Further the effectiveness of new fungicides may be tested under field condition against Alternaria zinniae.
GOVERNMENT RESPONSIBILITY FOR THE LEGAL PROTECTION AND REPRODUCTIVE HEALTH OF WOMEN (MOLESTERS) AND CHILDREN (RAPE PERPETRATORS)
Authors: Basani Christin Septina
Published: April 2023

Reproductive health regulated in Government Regulation of the Republic of Indonesia No.61/2014 tries to accommodate the needs related to sexual reproductive issues, especially for women and children/teenagers as well as men. This regulation is a form of government responsibility for reproductive health. The number of sexual cases that occur in the community has become our common concern and responsibility. One such case in Jambi involved a 21-year-old mother of an 11-month-old baby who reported a dozen children on different charges. The mother reported rape against herself, while dozens of children reported the mother on charges of molesting these children. This issue is not just a legal issue, but an issue related to mental health in society. This means that resolving this case is not only from a legal perspective but looking at the mental recovery that needs to be done for both perpetrators and victims so that there are no recurring problems in the future. Protection for the perpetrator with the presumption of innocence until there is evidence, makes this case must get the attention of law enforcement officials.
Not So Much an Axiomatic System, More a Taxonomy of Educational Objectives
Authors: Budgel Phil , Kunchev Mitko
Published: April 2023

By analysing, in detail, the requirements of any axiomatic system, the authors have concluded that it is not possible to ‘Axiomatize the Education System’ in any meaningful way; the process cannot comply with the demands of axiomatization: – the education system is so large and complex and the number of objectives is (seemingly) endless; – although it is possible to formulate a system of objectives for education, they are not derived deductively from prior objectives; – it is not possible to demonstrate that the objectives are derived from the rules of logic; nor that – the objectives follow logically from a number of objectives that are in turn the logical result of other objectives. The authors have therefore adapted the process in order to construct a high-level description of the education system; i.e. ‘A Taxonomy of Educational Objectives’ with First and Second Order Objectives. They have also concluded that an approach using ‘facilitated workshops’ would be very useful in the professional development of politicians, administrators, school leaders, teachers and students.
LM-GA: A Novel IDS with AES and Machine Learning Architecture for Enhanced Cloud Storage Security
Authors: T Thilagam , R Aruna
Published: April 2023

Cloud Computing (CC) is a relatively new technology that allows for widespread access and storage on the internet. Despite its low cost and numerous benefits, cloud technology still confronts several obstacles, including data loss, quality concerns, and data security like recurring hacking. The security of data stored in the cloud has become a major worry for both Cloud Service Providers (CSPs) and users. As a result, a powerful Intrusion Detection System (IDS) must be set up to detect and prevent possible cloud threats at an early stage. Intending to develop a novel IDS system, this paper introduces a new optimization concept named Lion Mutated-Genetic Algorithm (LM-GA) with the hybridization of Machine Learning (ML) algorithms such as Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Initially, the input text data is preprocessed and balanced to avoid redundancy and vague data. The preprocessed data is then subjected to the hybrid Deep Learning (DL) models namely the CNN-LSTM model to get the IDS output. Now, the intruded are discarded and non-intruded data are secured using Advanced Encryption Standard (AES) encryption model. Besides, the optimal key selection is done by the proposed LM-GA model and the cipher text is further secured via the steganography approach. NSL-KDD and UNSW-NB15 are the datasets used to verify the performance of the proposed LM-GA-based IDS in terms of average intrusion detection rate, accuracy, precision, recall, and F-Score.
Deep Learning Based Hybrid Network Architecture to Diagnose IoT Sensor Signal in Healthcare System
Authors: S Satheesh Kumar , Koti Manjula Sanjay
Published: April 2023

IoT is a fascinating technology in today's IT world, in which items may transmit data and interact through intranet or internet networks. TheInternet of Things (IoT) has shown a lot of promise in connecting various medical equipment, sensors, and healthcare specialists to provide high-quality medical services from afar. As a result, patient safety has improved, healthcare expenses have fallen, healthcare service accessibility has increased, and operational efficiency has increased in the healthcare industry. Healthcare IoT signal analysis is now widely employed in clinics as a critical diagnostic tool for diagnosing health issues. In the medical domain, automated identification and classification technologies help clinicians make more accurate and timely diagnoses. In this paper, we have proposed a Deep Learning-Based hybrid network architecture (CNN-R-LSTM (DCRL)) that combines the characteristics of a Convolutional Neural Network (CNN) and a Recurrent Neural Network (RNN) based long-short-term memory (LSTM) to diagnose IoT sensor signals and classify them into three categories: healthy, patient, and serious illness. Deep CNN-R-LSTM Algorithm is used for classify the IoT healthcare data support via a dedicated neural networking model. For our study, we have used the MIT-BIH dataset, the Pima Indians Diabetes dataset, the BP dataset, and the Cleveland Cardiology datasets. The experimental results revealed great classification performance in accuracy, specificity, and sensitivity, with 99.02 percent, 99.47 percent, and 99.56 percent, respectively. Our proposed DCLR model is based on healthcare IoT Centre inputs enhanced with the centenary, which may aid clinicians in effectively recognizing the health condition.
Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework
Authors: K Sakthidasan @ Sankaran , J Lekha , M Jenath , Easwaran Balamurugan
Published: April 2023

Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment.
The Perspective of Chemodynamic Therapy Combination with Plasma in Cancer Treatments
Authors:   Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran, Gadallo Leila Karami ,   Research Centre of Engineering in Medicine and Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
Published: April 2023

Chemodynamic therapy is (CDT) a novel emerging cancer treatment based on the Fenton-Fenton like reactions. During the Fenton chemical process, hydrogen peroxide in the presence of iron is converted to hydroxyl radical which is a highly reactive species to induce cell damage. The tumor optimal conditions for the occurrence of the Fenton-Fenton like reaction are: a high concentration of hydrogen peroxide, low pH level, and low Glutathione concentration. The requirement for these conditions limit us to achieving the best results from cancer chemodynamic therapy, thus combination with other treatments may be necessary. Here, using current research and a cell model, firstly we introduce the limitations of chemodynamic therapy in cancer treatment and then propose that cold atmospheric plasma could be a suitable candidate for combination with chemodynamic therapy to overcome these limitations.
PROBLEMATIKA PEMBELAJARAN PENDIDIKAN AGAMA ISLAM PADA SISWA TUNARUNGU
Authors: Rahman Qonita Miftahur , Hidayat Yunan , Sukari S , Ulfah Yetty Faridatul
Published: April 2023

This study aims to determine the problems of learning Islamic religious education in deaf students. This research is qualitative, the data collection is carried out by interviews, observations and documentation. Meanwhile, data analysis is carried out by data reduction, data presentation and drawing conclusions. The subjects in this study were deaf students and Islamic religious education teachers, and accompanying teachers of deaf students at SLB Giri Wiyata Dharma Wonogiri. The results showed that: deaf students are students who have hearing impairments. Islamic religious education learning in deaf students at SLB Giri Wiyata Dharma Wonogiri uses an individual learning program (PPI) created for each student so that teachers can measure the level of students' abilities. The learning methods applied to the learning process are the lecture method, the question and answer method, and the demonstration method.  The problems of learning Islamic religious education in deaf students are (1) the factor of student blindness becomes an obstacle in learning (2) educators who are important factors in the course of learning (3) Lack of learning media. The solution is to use an individualized approach when implementing learning, using oral methods, reading, and manual methods. PAI teachers and accompanying teachers of deaf students play an important role in overcoming the problems experienced by each student in learning. Efforts in overcoming pai learning problems in deaf students of SLB Giri Wiyata Dharma Wonogiri were carried out during the learning.
IMPLEMENTATION OF HIWALAH AGREEMENT AGAINST TAKERS – TRANSFER OF SUBSIDIZED FERTILIZER DEBT AT PUSRI RETAILERS KPL. SURYA USAHA TANI
Authors: Fatchurrohman M , Syihabudin Ahmad
Published: April 2023

Hiwalah is the transfer of the right to claim debts to other (third) parties on the basis of the consent of the party who gives the debt. The basis of the hiwalah contract is that ta'awun is a help- helping activity in the good among fellow Muslims. Reseller Pusri KPL. Surya Usaha Tani sells fertilizer with a tempo system with a gradual payment after the rice harvest, the results of which cannot be ascertained. The debt of the fertilizer slasher in Pusri is paid by farmers after getting money from the sale of their paddy harvest. However, in the payment, there is an additional cost of fertilizing rice fields for which there is no record of costs as a statement. The additional payments are not clearly known to farmers which is a common occurrence in the local community. However, in Islamic law the transaction of Hiwalah with Ujroh must have special records and particulars so that it can be proved and known together and not become gharar (Unclear).
Implementation of hiwalah agreements for takers – transfer of subsidized fertilizer debt at pusri retailers KPL. Surya Usaha Tani needs research to be able to positively influence the surrounding community who do not understand hiwalah transactions clearly. It is also in the case of unilateral pricing of retailers and the system of expropriating fertilizer debts with the lack of clarity on the exact costs to these farmers needs to be analyzed under Islamic law against the Subsidized Fertilizer Debt Takers.
The research method used in this study uses qualitative methods with the type of library research and also uses field research. Primary data sources are obtained from interviews with respondents while secondary data sources are obtained through books, literature studies, and various other sources. The data collection techniques used are observation, interview and documentation directly.
The results of the analysis showed that the practice of transferring the debt of the farmers with KPL. Surya Usaha Tani told The Rice Slasher that there was no agreement at the beginning on all additional services in finding workers who were willing to work on seeding fertilizer and also transportation services in the transportation of fertilizer which was measured from the distance traveled and the constraints of transporting fertilizer to several different rice fields. Then Hiwalah was shari'a by Islam and allowed because there was a maslahat to help and facilitate in muamalah activities because it included evidence of mutual help to others. Hiwalah KPL. Surya Usaha Tani is allowed under Islam if in the implementation of the hiwalah contract which coincides with wages (ujroh) on the transfer of farmers' debts by KPL. Surya Usaha Tani to the rice slasher has a clearly written agreement along with the witness so that in the agreement in cutting the crop for fertilizer debt and other costs so that both parties feel willing in the existence of the transaction.
IMPLEMENTASI PROGRAM PEMBELAJARAN MENTORING DALAM PEMBENTUKAN AKHLAK
Authors: Hanifah Fadlilah Anisa , Syamsuddin S , Fatchurrohman Muhammad , Fatimah Meti
Published: April 2023

The purpose of this study was to determine the implementation of the mentoring learning program in moral formation. The research is a qualitative research. The subject of research was SDIT Mutiara Insan Sukoharjo. The data collection technique in this study was through observation, interviews and documentation. Then the data analysis in this study used data analysis, namely data reduction, data presentation, and data verification. The results of study indicated that mentoring learning at SDIT Mutiara Insan Sukoharjo is carried a week, on Saturdays, the mentoring learning program must be followed by all students from grade 1 to grade 6 because mentoring learning at SDIT Mutiara Insan Sukoharjo is included in KBM hours. Mentoring learning is guided by the assisted homeroom teacher and is helped the homeroom teacher. There are many supporting factors in this program, starting from finance, facilities, competent teachers and other supports. As for the inhibiting factors, namely: the lack of learning time alloted for mentoring learning and lack of awareness from parents about the  importance of implementing of mentoring learning in character building because they are  busy work. The general purpose of this mentoring program is to assist and direct students in reviewing and applying religious practices in themselves so that they have noble character that is supported by good knowledge mastery which is then able to practice their knowledge while still being based on true faith.
TINJAUAN HUKUM ISLAM TERHADAP PERKAWINAN WANITA HAMIL: STUDI KASUS DI KANTOR URUSAN AGAMA KECAMATAN PASAR KLIWON KOTA SURAKARTA
Authors: Satoto Wijang , Syamsudin S , Sugiyat S
Published: April 2023

The purpose of this study was to determine the process of registering a pregnant woman's marriage and reviewing Islamic law on the implementation of a pregnant woman's marriage at the Office of Religious Affairs (KUA) in Pasar Kliwon District, Surakarta City. This research is a qualitative research with the research subject being the Head of KUA, Pasar Kliwon District, Surakarta City. Data was taken using observation, interviews and documentation. While data analysis by means of data reduction, data exposure and draw conclusions.The results of this study are that the process of registering a pregnant woman's marriage registration is the same as the marriage procedure for women in general or women who are not pregnant, it's just that in a closed forum (jonggolan) the head of the kua gives requirements containing that he is the man who actually got her pregnant and written on a stamp of 6,000. Then a review of Islamic law on the Implementation of Marriage for pregnant women at the Office of Religious Affairs in Pasar Kliwon District, Surakarta City for a woman who is pregnant can be married as long as the person who is married is a man who actually gets her pregnant, in accordance with the opinion of the majority of scholars' and article 53 Paragraph 1 KHI as for a widow who is pregnant may not be married unless she is allowed to be married as long as she has given birth.
Study on the Design Strategy of Rural Public Space with The Integration of Intangible Cultural Heritage Resources
Authors: Yuan Fan , Kan Xuan
Published: April 2023

This paper explores the ideas and methods of integrating intangible cultural heritage resources into the design of rural public spaces to show the cultural characteristics of rural public spaces and enhance rural vitality. It starts with a review of some of the current problems of rural public spaces in China, and focuses on the coupling relationship between intangible cultural heritage resources and rural public space design. In this way, it provides a basis for the revitalisation of rural development in the context of cultural confidence.
The Impact of COVID-19 on Education in Developing Countries
Authors: Abulikemu Alifu
Published: April 2023

Since COVID-19 became pandemic, it has been affecting the global education. The situation is more severe for developing and low-income countries in terms of educational problems. Although students at younger age shows mild or no symptoms of COVID-19, children, and college students in developing countries have a hard time in learning under the influence of the virus. It is essential for the rest of the world to provide support to the developing countries to back on the tracks of providing normal education for children and students, especially for those who are from the poorest families.
The Effects of Cognitive and Emotional Empathy in Moral Judgement and Relevant Factors
Authors: Zhu An
Published: April 2023

Empathy is described as the ability to understand and experience others' feelings and thoughts. Moral judgment is an important part of moral cognition. Previous studies found that empathy was potentially correlated with moral judgment. In those studies, the researchers noticed that empathic people tended to behave more prosocial and the people with trait alexithymia tended to behave more utilitarian when facing some moral dilemmas. Whether cognitive empathy or affective empathy influence the judgment is still hotly debated. Some researchers thought cognitive empathy promoted positive results and affective empathy introduced negative results. Some other researchers hold the opposite opinion, and they thought that affective empathy should be the dominant, as it is spontaneously generated. As the research of empathy-moral judgment deepens, more and more relevant factors were found, such as guilt, population characters, and punishment. This review systematically reviewed cognitive and emotional empathy's contribution to moral judgment with other factors, such as guilt and moral character. This review suggested that empathy should be treated as an integral predictor of moral judgments. Because cognitive and emotional empathy both have their benefits and weaknesses, when combined, maximum impact could be achieved. This review can provide a relatively comprehensive understanding for developing effective interventions.
Assessing Parenting Self-Efficacy of Preschoolers’ Parents During The COVID-19 Pandemic in China
Authors: Zhou Gexin
Published: April 2023

During the COVID-19 epidemic, 3-6 aged children became extremely vulnerable, and the situation of their parents remained to be explored. As prior studies have confirmed the positive correlation between parenting self-efficacy and early child development, this paper is aimed at establishing the psychometric properties of parenting self-efficacy (PSE) during-covid parenting and ascertaining the core factors that impact PSE in the Chinese educational environment. The study sample consisted of parents from central China who have children aged 3-6. The sense of self-efficacy was measured by the Parenting Sense of Competence Scale adjusted for the Chinese parenting context. The outcomes showed that the average scores maintain at a reasonably good level while the skill/knowledge domain was lower than the perceived valuing/comfort domain. Demographic variables regarding children’s characters, parents’ features and social support statistically influence the results. Practical intervention and outlook for further research are proposed to settle new challenges for parents of Chinese preschoolers.
An Investigation on The Success and Failure of Charities from The Effective Altruism Perspective
Authors: Lio Suchet Wang , Yao Li
Published: April 2023

In recent years, charities have encountered major management problems, manifested in the form of a lack of work experience, a one-sided understanding of charity, wealth distribution problems and low public awareness of charities. This study aims to explore why some charities fail while others succeed. With in-depth analysis, the author found that charities, foundations and other causes that rank high on GiveWell tend to have better chances of survival because their philanthropy and foundation behavior is rational and maximizes the effect. This article popularizes the concept of effective altruism, how GiveWell’s final computing concept reflects rationality, and finally focuses on analyzing how Against Malaria Foundation rationally solves management problems and achieves today’s achievements. This paper suggests that it is necessary for philanthropists to use the rational spirit of effective altruism and the rationality of charities. In this way, philanthropy can effectively take into account the issues of efficiency and fairness, promote the common progress of members of society, and have a certain positive significance for social stability, thereby promoting the vigorous development of public welfare undertakings.
The Positive and Negative Aspects of Procrastination in College Students
Authors: Zhu Fanzhi
Published: April 2023

Procrastination is a standard behavior among university students because they are pressured to achieve high academic standards in their courses while having other responsibilities, such as work or extracurricular activities outside of school. The stress of achieving high academic standards while simultaneously having other faults can cause students to put off tasks until close to the deadline. The article examines the factors that affect college students’ procrastination at various levels and objectively describes the impact of procrastination on college students from both positive and negative perspectives. On the positive side, aggressive procrastination can help increase productivity and creativity, as deadlines approach. This last-minute rush can also lead to a sense of achievement and pride in completing tasks under pressure. How to enable college students to overcome negative procrastination behaviors and how to use positive procrastination behaviors to improve college students' learning and productivity are discussed in this literature review. There are also some limitations in recent studies, such small sample size. Future studies should incorporate these factors into the experimental design. This review can provide some insights for the design of relevant college intervention programs.
A Study on the Effect of Color on Human Food Perception
Authors: Huang Jingyi
Published: April 2023

The purpose of this research was to determine whether the color of food has any ability to influence and stimulate appetite. We divided the color spectrum into two broad representative groups: warm and cold colors. Based on anecdotal experiences, I hypothesized that warm-colored food would appear more appetizing than cold-colored food. To test this hypothesis, I created a survey that included images of staple food and desserts and applied different warm and cold-color filters, and asked respondents to choose their preference. Age, gender, and respondent hunger levels were also collected. The results show that staple food and desserts with warm filters attracted more overall interest, though cold-filtered desserts were notably more frequently selected than cold-filtered staple meals. The results of the research may be useful for cooking, decorating, and graphic design, and may have separate therapeutic applications for children with eating disorders.
Monetary Policy Uncertainty and Changes in US Stock Market: Evidence from USD and Stock Index
Authors: Sun Shengchen
Published: April 2023

According to the U.S. monetary policy keep changing these years, these changes may cause some effect on the U.S. stock market, investors are looking for a investigation on these changes. As the biggest stock market in the world, the U.S. stock market is a large system that may entail many statistics to find out whether monetary uncertainty does change the stock market in stock index. In this paper, two of well-known stock markets are chosen and daily stock data from June 1, 2021 to September 14, 2022 is extracted as well as USD index through that period. The VAR model was applied in the study to evaluate the link between variables, and the ARMA-GARCH model was used to determine and analyze both earning ability and stock volatility throughout the monetary uncertainty. Interestingly, two large stock markets have different response to the USD index. The study forecasts the possible future of the stock market fluctuation and provides managerial and investment recommendations to its stakeholders.
Analyze The Economic and The Sustainable Environmental Impact of The Policy in The New Energy Vehicles and Lithium Battery Industry
Authors: Tu Yunkun
Published: April 2023

Due to the vigorous promotion and production of new energy vehicles, the lithium battery industry is closely connected with them and also developed a lot, resulting in vertical integration. There are various new energy vehicle policies in the world that are specific to the situation of each country. Policies aim at the consumption and supply of new energy vehicles and the R & D of energy technologies such as lithium batteries can have related impact. Its positive role is to increase the output of new energy vehicles, reduce environmental pollution, encourage the progress of lithium battery research and improve the sustainable development. However, the reduction of subsidies and the improvement of selection criteria need to be in line with market conditions and the progress of relevant energy research. Excessive subsidies will also bring greater economic pressure to the country. Only by balancing economic effects and improving energy utilization can sustainable development be achieved.
What Impact the Emergence of Covid Has on The Chinese Economy
Authors: Cao Zexi
Published: April 2023

Covid was detected in China in 2019 and began to spread across China in early 2020 with Wuhan City, Hubei Province as the center. Covid is not the first virus to appear in China, SARS was detected in Guangdong province in late 2002. In terms of the number of deaths and the degree of impact on the Chinese economy, the negative impact of Covid is greater than that of SARS. This conclusion can be divided into the following three aspects. First, China's GDP growth rate in 2003 was higher than in 2002. Secondly, it only took 9 months from the emergence of SARS to the real end, while Covid has not really ended in nearly three years from the end of 2019 to now. In addition, the consumer industry and the service industry now occupy a dominant position in China's economic structure, and a series of lockdown management measures in response to Covid has undoubtedly brought a serious blow to these two industries. Therefore, the negative impact of Covid on China's society and economy will definitely require more time to appease and adjust in the future.
The Long-term Impact of Normalized Pandemic on Nasdaq and SP 500: An Empirical Evidence from Time Series
Authors: Lao Shusen
Published: April 2023

After Covid-19 pandemic, the global economy stagnated briefly and was deeply affected in the long-term. In the early days of the COVID-19 epidemic, the stock market was hit hard and stock prices fell sharply. The COVID-19 pandemic has brought turmoil to the global economy, and the implications are lasting and profound. Previous literature has highlighted the short-term impact of COVID-19 on stock and commodity markets. This study models the long-term dynamic response of the COVID 19 epidemic using time series. The VAR model was applied in the study to evaluate the link between variables, and the ARMA-GARCH model was used to determine and analyze stock volatility throughout the pandemic. Investors can easily recover from pessimism and reinvest in the market because the coronavirus pandemic has a huge short-term impact. However, long-term fluctuations in the US stock market are not significantly effected by the COVID-19 epidemic. The study forecasts the possible future of the U.S. stock market and provides managerial and investment recommendations to its stakeholders.
Application of Maximum Sharpe Ratio and Minimum Variance Portfolio Optimization for Industries
Authors: Qu Jiayi , Zhang Li
Published: April 2023

Since the start of 2022, expectations regarding the continuous raising of interest rates by the Fed to curb the 40-year-high inflation has been negatively impacting the US stock market, leading to volatility spikes. Thus, portfolio optimization plays an important role to risk-averse investors. This paper investigated an optimal portfolio strategy that aims to maximize the Sharpe ratio to outperform a common benchmark, the S&P500. Eleven US stocks were selected, one from each of the eleven market sectors, based on market capitalization. Then, mean-variance portfolio optimization was conducted to obtain an optimal distribution of stocks weighing in Maximum Sharpe Ratio Portfolio (MSRP) and Global Minimum Variance Portfolio (GMVP), and backtesting was adopted to construct portfolio performance for MSRP, GMVP and Equal-Weight Portfolio (1/N) strategies by using historical data from the first eight months of 2022. The Sharpe ratio was calculated to compare the performance between the three strategies---MSRP, GMVP and 1/N---and the S&P500. Empirical results, supported by a robustness test, suggested that MSRP strategy outperformed S&P500 with the highest Sharpe ratio, which indicated that MSRP achieved a higher return per unit of risk regardless of market volatility presented in different time intervals. Therefore, this research provides insights into portfolio investment decision-making for risk-averse investors.
Portfolio Management for Multi-industry
Authors: Zhang Shicheng
Published: April 2023

In the financial field, portfolio management is an important measure in the direction of investment or hedging. This paper mainly focuses on the optimization for the portfolio composed of assets from five industries, which is education, banking, automobile manufacturing, parts industry and e-commerce, and considers the allocation of assets to optimize the returns. In this paper, five representative assets from these five industries are selected. The Markowitz efficient frontier is plotted by Monte-Carlo method, using the return data of assets. Then the portfolio is optimized by mean-variance analysis and the maximum Sharpe ratio portfolio as well as minimum variance portfolio can be calculated. Finally, this paper analyzes the performance of the two portfolios, considering the influence of individual assets on the portfolio weight, and uses the Fama-French three factor model to analyze the performance of the portfolio. The results show that PTAIY and PSO from parts manufacturing and education occupy a large proportion in the maximum Sharpe ratio portfolio as well as the minimum variance portfolio. The findings could help investors interested in these five areas.
Portfolio Optimization for Cloud Computing, Biotechnology, Artificial Intelligence, Green Energy and Pharmaceutical Industries
Authors: Duan Jisheng
Published: April 2023

Making reasonable portfolio allocation is a common problem nowadays. This paper analyzes asset allocation in cloud computing, biotechnology, medical engineering, green energy and artificial intelligence. These five assets are all fast-growing and suitable investments this year. This paper uses a time series approach to analyze these assets. Assets are analyzed using the mean-variance approach, Autoregressive Integrated Moving Average model (ARIMA), and FAME-French model. The mean variance model can better optimize the portfolio, while the ARIMA model is used to predict the selected ETF and judge its trend in the future period of time, and finally the Fama-French model is used to explain the portfolio. Finally, this paper evaluates the performance of the portfolio of these assets, including the specific proportion and the related return rate. The results of the analysis show that green energy and pharmaceutical industries account for the proportion of investment sent, the study is useful for potential investors in cloud computing, artificial intelligence, green energy, pharmaceutical industries, and biotechnology.
Cryptocurrency under Local Conflict: Evidence from Soaring Crude Oil Price
Authors: Wu Jiayong
Published: April 2023

The ongoing Russian invasion of Ukraine is signaled as a black swan event with major effects to the world. The consequence of the corresponding sanctions sparked short-term and long-term damages not only to the countries directly involved but also to the global economy. Namely, the soaring crude oil price pushes countries to economic crisis. Additionally, the emergence of the cryptocurrency becomes a centerpiece in this conflict, as Ukraine opens cryptocurrency donations and Russia tries to avoid sanction with cryptocurrency. The relationship between the traditional Crude oil market and the relatively new global market of cryptocurrency has sparked this paper to research the effect of this local conflict. In this paper, Crude Oil yields, Bitcoin yields, and Ethereum yields from June 2021 to Sep 2022 are extracted. VAR model and ARMA-GARCHX model are selected to analyze the data. This study intends to examine the relationship between the oil yields and the major cryptocurrency yields, namely Bitcoin and Ethereum, with hopes to forecast the corresponding cryptocurrency yield followed by an oil yield shock.
The Relationship between Amazon Rainforest Deforestation and Economic Development
Authors: Xu Jiaqi , Zeng Qinglin , Zhang Ziheng
Published: April 2023

The Amazon rainforest is the largest and most species-rich tropical rainforest on Earth. It not only absorbs carbon dioxide, but also produces oxygen. It produces 10% of the oxygen supply every year. When people destroy rainforest, it not only affects the economy, but also the species. For example, some animals used to live on the edge of the forest, but now the trees on the edge have been cut down and can only live deeper, but there are many ferocious animals living in it, which may kill them or even cause species extinction, so the biological system is affected by Seriously disrupted, the cycle of the animal food chain could become disjointed. Therefore, how to protect the economy from damage while protecting the rainforest has become a hot topic. Since the damage from the destruction of the rainforest is most evident in Brazil, it deserves more attention. This article will provide an in-depth understanding of the relationship between rainforest and the economy from a number of different perspectives, as well as social, personal and governmental recommendations for improved rainforest maintenance.
The Effect of War Risks on the Petroleum and Petrochemical and Renewable Energy Industries: Evidence from Chinese Stock Market
Authors: Sun Yichao
Published: April 2023

This study explores the ramifications of war risks (Russo-Ukrainian Conflict specifically) on petroleum and renewable energy industries. Based on the stylized fact that war leads to spikes in oil prices, vector autoregressive (VAR) and autoregressive moving average-generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) model analyses were conducted to evaluate stock return and volatility, respectively, in both sectors resulting from the change in Brent crude oil prices. The data in this study primarily encompasses Brent crude oil prices and the stock index for renewable energy and petroleum products in China. While the result of the VAR model analysis suggests that the increasing oil price has led to a positive effect on stock return for renewables and a trifling impact on stock return for petroleum products, the ARMA-GARCH model indicates that the change in Brent crude oil prices has exerted a negligible effect on stock volatility in both sectors. The positive stock return in the renewable energy sector caused by the increasing oil prices may incentivize more investors and promote the development of renewables in China. The government will also likely promulgate relevant policies to avert the risk of energy supply uncertainties and expedite the energy transition.
Wal-Mart's Financial Analysis
Authors: Dong Runhan
Published: April 2023

Due to the impact of the epidemic, e-commerce is developing very rapidly. Under such a circumstance, this article would like to choose a company that may be greatly affected by the epidemic and starts an e-commerce business Under the pressure of the epidemic. After my understanding of e-commerce at home and abroad, this article finally chooses Walmart as the research object of this project. In this essay, this article used SWOT economic analysis to describe WalMart's development speed, development potential, and business barriers in recent years. After the economic analysis and stock analysis of Walmart, this article found that the company had been developing for almost 10 years before the outbreak of the epidemic, so Walmart must have done very well in both economy and management. These advantages also made previous losses during the pandemic less dramatic. Based on the stock fluctuations, this article found that there are two characteristics of the impact of the pandemic on Walmart; One is a short time, and the other is a big influence. This can also be seen in Walmart's response to the pandemic quickly.
Predict Stock Price of Tesla Based on Machine Learning
Authors: Dai Luren
Published: April 2023

With the vigorous promotion of new energy, electric vehicles have become a popular travel choice. As the most popular brand at present, Tesla has a huge market share and its technology and patents can guarantee the advantages of future development. At the same time, Elon Musk is a very ambitious and powerful entrepreneur who can lead a technology company to a better future. The stock of Tesla is also favored by many investment institutions because it brings together new energy, automobile, artificial intelligence, and other high-tech industries. This report will mainly use machine learning methods to predict the trend of stock prices (closing prices). Time series and the k-nearest Neighbors algorithm are the main methods used to predict and compare the accuracy to analyze which model is more suitable. In order to train the model, all the data of stock are divided into a training set and a test set. At the same time, Linear Regression, Random Forest, Support Vector Regression, and Decision Tree are also used as a reference for the analysis.
Development and Prospect of China Mobile Game Market
Authors: Wang Yichen
Published: April 2023

The size of the Chinese market is close to that of the United States, the world's largest game market. When it comes to mobile games, China is already the world's largest single mobile game market. Ten years ago, in the era of mainframe and end game, it was unimaginable to reach such a scale. At that time, the Chinese game market was divided by South Korea, Japan and the United States. According to the 2021 China Game Industry Report, the actual sales revenue of China's mobile game market in 2021 will be 225.538 billion yuan, up 7.6% year on year. Although the income still keeps growing, compared with the previous annual growth rate, it has reached the bottom. This paper analyzes the Chinese mobile game market, finds out the problems and gives the corresponding solutions.