bluuebunny/crossref_metadata_2025 huggingface dataset:
On Vertex-Degree-Based Indices of Monogenic Semigroup Graphs
Authors: OĞUZ ÜNAL Seda
Published: October 2022

Albertson and the reduced Sombor indices are vertex-degree-based graph invariants that given in [5] and [18], defined as

Alb(G)=\sum_{uv\in E(G)}\left|d_{u}-d_{v}\right|, SO_{red}(G)=\sum_{uv\in E(G)}\sqrt{(d_{u}-1)^{2}+(d_{v}-1)^{2}},

respectively.

In this work we show that a calculation of Albertson and reduced Sombor index which are vertex-degree-based topological indices, over monogenic semigroup graphs.
ANALISIS USAHA TERNAK AYAM PETELUR AZ DI DESA TALUMBINGA KECAMATAN SABULAKOA KABUPATEN KONAWE SELATAN
Authors: Zakariah Ahmad , Titop Herman , H.M. Suyuti
Published: October 2022

This study aims to determine the level of profit and feasibility level of AZ Laying Chicken Farming in Talumbinga Village, Sabulakoa District, Konawe Selatan Regency.The results of this study indicate that the AZ Layer Farming Business Income Analysis in Talumbinga Village, Sabulakoa District, South Konawe Regency is profitable and feasible to develop.The farmer's profit generates a net income of IDR 84,715,000 per year or IDR 7,059.583 per month and a B/C-Ratio of 1.44.
Rekayasa Alat Pengasapan Untuk Pengembangan Usaha Kaholeo Di Kelurahan Waruruma Kecamatan Kokalukuna Kota Bau Bau Provinsi Sulawesi Tenggara
Authors: Oge La , Bahrun Andi , Wijayati Sri , A Alfius
Published: October 2022

Dampak terhadap pengembangan usaha kaholeo dalam peningkatan ekonomi dan pendapatan kelompok masyarakat pengusaha kaholeo akibat dari penerapan alih teknologi pengasapan semakin menjadi perhatian. Adanya penerapan teknologi produksi dan pelatihan kelompok dalam pengembangan usaha kaholeo dapat meningkatkan wawasan dan pengetahuan masyarakat di Kelurahan Warururma. Tujuan dari kegiatan ini adalah untuk meningkatkan kapasitas sumberdaya manusia kelompok usaha produksi kaholeo dan kelompok usaha penjual kaholeo dengan target agar kelompok usaha produksi kaholeo memiliki alat produksi kaholeo yang tepat guna dan dapat mengoperasikannya dengan baik sehingga dihasilkannya kaholeo yang berkualitas, higienis, hemat energi serta dapat disimpan dalam jangka waktu yang lama. Target lain yang akan dicapai adalah agar kelompok penjual kaholeo dapat meningkat pengetahuan dan keterampilannya dalam bidang pengepakan dan penyimpanan sehingga dihasilkannya produk kemasan kaholeo yang menarik dan tahan lama. Kegiatan ini dilaksanakan di Kelurahan Waruruma Kecamatan Kokalukuna Kota Bau Bau Sulawesi Tenggara. Operasional kegiatan meliputi rekruitmen anggota kelompok mitra, rekayasa alat produksi kaholeo, penyuluhan dan pelatihan serta pembuatan percontohan teknik produksi kaholeo, pasca panen dan pengepakan produksi kaholeo serta manajemen pengelolaan kelompok. Pasca kegiatan program kreativitas masyarakat ini diharapkan usaha produksi dan pemasaran kaholeo di Kelurahan Waruruma Kecamatan Kokalukuna Kota Baubau dan sekitarnya dapat berkembang dan berkelanjutan sehingga pendapat dan kesejahteraan masyarakat meningkat.
Relasi Kuasa dan Komunikasi Bungkam di Kalangan Santri Pondok Pesantren Nurut Tauhid
Authors: Aini Adillah Qurrota
Published: October 2022

Kekuasaan menurut Foucault bukan dimiliki oleh para raja, penguasa, atau pemerintah. Akan tetapi kekuasaan dijalankan dengan serangkaian aturan rumit yang saling mempengaruhi. Maksudnya ialah menempati pada posisi strategis yang saling berkaitan satu sama lain. Yang terjadi di Pondok Pesantren Nurut Tauhid merupakan adanya ketimpangan kuasa antara dominan dengan subordinat. Risit ini bertujuan untuk mengetahui bagaimana relasi kuasa antar-santri di Pondok Pesantren Nurut Tauhid. Kedua Untuk mengetahui dampak relasi kuasa antar-santri di Pondok Pesantren Nurut Tauhid. Penulis menggunakan metode penelitian kualitatif dengan pendekatan fenomenologi. Hasil riset menunjukkan bahwa Relasi kuasa pengurus dan santri di Pesantren Putri Dalem Utara Nurut Tauhid adalah terjadinya ketimpangan kuasa antara dominan dengan subordinat dan dampaknya ialah terjadinya iklim yang membuat terbungkamnya santri, serta menjadikan santri tidak disiplin dalam segala hal.
PSIKOEDUKASI PADA MASYARAKAT PENERIMA VAKSIN COVID-19 DI KAMPUNG TALOARANE KECAMATAN MANGANITU
Authors: Surudani Conny Juliana , Makahaghi Yenny Budiman , Pangandaheng Nansy Delia
Published: October 2022

Vaksinasi Covid-19 di saat pandemi merupakan upaya yang dilakukan pemerintah untuk mempercepat penurunan pandemi melalui vaksin covid 19.  Pemberian psikoedukasi dapat melalui penyuluhan kesehatan pada seseorang yang mengalami gangguan psikis dengan tujuan masalah yang dihadapi dapat teratasi. Tujuan PKMS ini yaitu meningkatkan pengetahuan masyarakat tentang vaksin covid 19. Kegiatan penyuluhan dilakukan dari rumah ke rumah hal ini dilakukan karena pandemi Covid-19, dimana tim pengabdian mengunjungi rumah-rumah masyarakat kampung Taloarane Kecamatan Manganitu, kemudian menemui masyarakat yang belum menerima vaksin covid-19 kemudian diberikan penyuluhan tentang vaksin covid-19, edukasi menghilangkan kecemasan dan pemeriksaan tekanan darah. Psikoedukasi sangat penting dilakukan kepada masyarakat penerima vaksin covid-19 melalui penyuluhan kesehatan yang diberikan kepada masyarakat kampung Taloarane dapat menambah pengetahuan tentang pentingnya mengikuti vaksin untuk mengurangi penularan dan melindungi orang-orang sekitar kita agar terhindar dari covid-19.

 

Covid-19 vaccination during a pandemic is an effort made by the government to accelerate the decline of the pandemic through the covid 19 vaccine. The provision of psychoeducation can be through health education to someone who has a psychological disorder with the aim of solving the problems faced. The purpose of this PKMS is to increase public knowledge about the covid 19 vaccine. Counseling activities are carried out from the house to house this is done because of the Covid-19 pandemic, where the service team visits the homes of the people of Taloarane village, Manganitu sub-district, then meets people who have not received the COVID-19 vaccine. 19 were then given counseling about the covid-19 vaccine, education on relieving anxiety, and checking blood pressure. Psychoeducation needs to be carried out for the recipients of the covid-19 vaccine through health counseling given to the people of the Taloarane village to increase knowledge about the importance of taking vaccines to reduce transmission and protect the people around us to avoid covid-19.
HANDLINE IKAN DEMERSAL BAGI KELOMPOK NELAYAN DI KAMPUNG BENGKETANG KECAMATAN TABUKAN UTARA KABUPATEN KEPULAUAN SANGIHE
Authors: Kumaseh Eunike Irene , Sarapil Costantein Imanuel
Published: October 2022

Sebagian besar nelayan di Kecamatan Tabukan Utara merupakan nelayan sambilan tambahan, artinya nelayan yang sebagian kecil pendapatannya berasal dari perikanan. Kampung Bengketang termasuk dalam wilayah administrasi Kecamatan Tabukan Utara. Sebagian besar penduduk di Kampung Bengketang memiliki pekerjaan sebagai nelayan sebesar 44 persen, dan menggunakan alat tangkap pancing ulur (Handline). Pengadaan Hand line ikan demersal ini merupakan salah satu upaya bagi nelayan untuk meningkatkan hasil tangkapan nelayan. Metode pengabdian yang dilakukan yaitu memberikan penyuluhan, pendampingan, dan monitoring serta evaluasi bagi kelompok nelayan di Kampung Bengketang. Alat tangkap ikan demersal umumnya disebut Sasalensing bagi masyarakat lokal.  Hasil tangkapan nelayan seperti ikan Kerapu (Goropa), ikan Kuwe (Bobara), ikan Kurisi, serta ikan Cakalang, dimana merupakan ikan ekonomis penting. Ada yang dijual dan ada juga yang digunakan untuk kebutuhan konsumsi keluarga sehari – hari. Kegiatan PKMS ini telah membantu meningkatkan kehidupan ekonomi masyarakat pesisir.

 

 

Most of the fishermen in North Tabukan District are additional part-time fishermen, meaning that most of the fishermen's income comes from fishing. Bengketang Village is included in the administrative area of ​​North Tabukan District. Most of the population in Bengketang Village have jobs as fishermen by 44 percent, and use handline fishing gear. The procurement of this demersal fish hand line is one of the efforts for fishermen to increase fisherman catches. The service method used is to provide counseling, assistance, and monitoring and evaluation for groups of fishermen in Bengketang Village. Demersal fishing gear is generally called Sasalensing for local people. The catches include grouper (Goropa), Kuwe fish (Bobara), Kurisi fish, and skipjack tuna, which are economically important fish. Some are sold and some are used for daily family consumption needs. This PKMS activity has helped improve the economic life of coastal communities.
Experienced Stress Among Adults, Adolescents, and LGBQ Students in Time of Covid-19 Pandemic
Authors: Jay P Diaz , Cyrem F Decena
Published: October 2022

The covid-19 pandemic has affected the lives of every Filipino adolescent, adults, and LGBQ students. Knowledge of these affecting factors is limited. The study's primary purpose was to determine the level of stress among adolescents and adult students. Nine-hundred thirty (930) students participated in the study (First-year College and Junior High School students, n=724; Graduate Students, n=206).  Result showed that among adult students which were grouped into gender: 30.67% male (n=23), 65.33% female (n=49), and 4% LGBQ (n=3) experienced a high level of Covid-19 stress-related symptoms, while 27.03% male (n=10), 67.57% female (n=25), and 5.41% LGBQ (n=2) scored lower level of stress. Likewise, among adolescent students, 32.32% male (n=83), 66.79% female (n=177), and 1.89% LGBQ (n=5) experienced high level of stress while 43.65% male (n=50), 52.64% (n=60), and 3.51% LGBQ (n=4) reported to have low stress level. Moreover, male adolescents and female adults were found to have higher Covid-19 stress-related symptoms.  Consequently, k-means scores showed that 36.60% of adolescent students scored high (mean scores of 2.78-4.00) while 15.7% scored low (mean scores of .00-1.69). Meanwhile, among adult students, 36.4% scored a higher level of stress (mean scores of 2.81-4), and 45.6% reported having a lower level of stress (mean scores of .03-1.81). Also, adolescent students are prone to experience higher stress levels than adult students living in the Philippine region. Adult students may have established better coping mechanisms compared to adolescents. The researchers discussed the importance of designing and providing an evidence-based psychological intervention to address the participants' needs. A qualitative study may also be conducted to unveil the phenomenon of stress-related experiences among adults, adolescents, and LGBQ students to better explain the current study results
AVALIAÇÃO DO PROGRAMA MÉDICO DA FAMÍLIA CEARÁ
Authors: Messias Kelly Leite Maia de , Simões Luiza Lúlia Feitosa , Bessa Olívia Andréa Alencar Costa
Published: October 2022

Avaliar o primeiro nível (satisfação) mediante a mensuração dos atores sociais: gestores das Unidades de Atenção Primária à Saúde, docentes, discentes e usuários envolvidos com o âmbito do Programa Médico da Família Ceará (PMFC). A avaliação se baseou no Modelo de Kirkpatrick para os diversos atores envolvidos. Elaboraram-se instrumentos de coleta de dados, via formulários eletrônicos, e identificou-se a medida da satisfação de cada ator. A maioria dos gestores admitiu totalmente a prática profissional adequada, relação interpessoal/equipe e importância do PMFC. A maior parte dos docentes concordou totalmente com a importância das atividades e relevância do papel do PMFC. Mais da metade dos discentes confirmou totalmente a importância das atividades e relevância docente.  A avaliação se configura como um dos alicerces para a amplificação da efetividade das ações em saúde, corroborando com melhorias na qualidade de vida, de saúde e de desenvolvimento social.
Time Dependent Impact of Reactive Oxidants on Seminal Attributes, Mitochondrial Membrane Potential, Lipid Peroxidation and Capacitation-Like Changes of Karan-Fries (KF) Bulls During Cryopreservation
Authors: Kulkarni Nitish. A. , Roy A.K. , Pandita Sujata , Shashank C.G. , Chethan H.S.
Published: October 2022

BACKGROUND:Cryopreservation of semen is a valuable technique; however, it is also known to be detrimental to the structure of spermatozoa and fertility due to cryo-injury and subsequent generation of reactive oxidants.OBJECTIVE:To determine the time-dependent impact of reactive oxidants on seminal attributes, mitochondrial membrane potential (MMP), lipid peroxidation status (LPO) and early capacitation like changes.MATERIALS AND METHODS:Semen samples were collected by artificial vagina technique from six Karan-Fries (KF) bulls and subsequently examined at 0 h (before cryopreservation) and at 24 hours, 15 days and 2-months of storage for various seminal attributes, MMP (Δψm) , and early capacitation-like changes. Simultaneously, LPO (TBARS) was determined in fresh and post-thaw seminal plasma.RESULTS:A sharp decrease (P<0.01) in semen quality was observed only after 24 h of cryopreservation except for viability and acrosomal integrity. Sperm viability and acrosome integrity reduced significantly up to 2 months of cryopreservation. The lipid peroxidation status was found to be lower in fresh seminal plasma (2.63±0.22 vs. 3.51±0.34 units/mL) as compared to post-thaw. Furthermore, the active Δψmof fresh semen showed a significant (P<0.01) decrease after 24 hours (77.92±0.387 vs. 54.52±0.28%) of cryopreservation, while there was a non- significant decrease in active MMP after 15 d and 2-months (53.68±0.138 and 52.76±0.16%). Moreover, significant (P<0.01) early capacitation-like changes were found in post-thaw spermatozoa (25.72±0.12 vs. 9.1±0.19%) as compared to fresh ejaculate. CONCLUSION:Spermatozoa incur the majority of damages during the early phase of cryopreservation, however the damage associated by different stressors cannot be neglected.
Potential Application of Cryogenic Freezer on Turbot Sperm Cryopreservation
Authors: Aydin İlhan , Beken Atife Tuba , Öztürk Rafet Çağn , Polat Hamza , Terzi Yahya
Published: October 2022

BACKGROUND: Cryopreservation is a common practice to preserve fish sperm for prolonged periods. OBJECTIVE: To examine the effect of different freezing protocols on sperm characteristics, fertilization, and hatching rate of turbot. MATERIALS AND METHODS: Milt was
obtained from ten 8-year-old turbot (54.3 ± 1.7 cm in length and 3,106 ±283 g in weight) at the peak of spawning season. Six batches of milts with >90% motility was pooled and diluted to 1:3 by adding dimethyl sulfoxide (DMSO, 10%) as cryoprotectant. Then straws filled with
semen were subjected to three freezing protocols (cooling rates). Sperm characteristics were assessed using sperm class analyzer before and after cryopreservation. Cryopreserved and fresh sperm were used for artificial fertilization to assess fertilization and hatching rates. RESULTS:
Cryopreservation protocol has significantly deleterious effects on total motility, progressive motility, curvilinear velocity, straight line velocity, average path velocity, linearity index, straightness index, oscillation index, and amplitude of lateral head displacement of sperm. However,
the beat frequency of cryopreserved sperm was found to be similar to control sperm. The fertilization rate of sperm subjected to three freezing protocols were similar, varying between 65.3 % and 75.6 %, and the hatching rates varied from 51.2% to 70.7%. CONCLUSION: The results show
the potential application of cryopreservation in fish hatcheries.
Proteomic Profile of Vitrified in Vitro-Produced Bovine Embryos (Bos Taurus Indicus)
Authors: Travassos Vieira Joane Isis , Ferreira-Silva José Carlos , Aparecida Cavalcante Silva Fabiana , Nunes Pena Elton Pedro , Carvalho Freitas Lucas , Silva Chaves Maiana , Viana Grázia João Gabriel , Carvalho Pereira Lucas , Henrique dos Santos Fagundes Renan , Calsa Junior Tercilio , Pompeu dos Santos Filho José , Figueiredo Freitas Vicente José , Lemos Oliveira Marcos Antonio
Published: October 2022

BACKGROUND:The proteomic profile of cryopreserved in vitro produced bovine embryos is little known but can provide insights on the successful application of cryo procedures in support of animal breeding.OBJECTIVE:To identify embryonic proteins and biomarkers related to improved cryotolerance of vitrified in vitro produced bovine embryos.MATERIALS AND METHODS:Proteins were isolated from embryo pools (n = 25 embryos per replicate) and analyzed using the nanoLC - MS/MS system. Further, the UniProtKB database (Uniprot – http://www.uniprot.org/) was used for protein identification. Proteins were classified based on their molecular mass, isoelectric point, and enzymatic activity. Post-translational modification predictions and functional gene ontology analysis were performed as well. Finally, a protein-protein interaction network was created to shed light on the embryo interactome.RESULTS:Based on the MS/MS approach, 66 proteins were identified from vitrifiedBos taurusembryos. The retrieved proteins were presumably annotated, which allowed a description of the qualitative and functional aspects of the embryo proteome after the vitrification process.CONCLUSION:These findings allowed us to conclude that in vitro-produced vitrified embryos expressed proteins that underlie biological processes related to reproduction, stress and lipid metabolic process, which are essential to maintain embryo viability.
Extenders and Cryosolutions for Grumatã (Prochilodus Vimboides) Sperm Preservation
Authors: Oliveira Alexmiliano V. , Lanna Eduardo A.T. , Motta Naiara C. , Souza Guilherme , Souza Genaina A. , Oliveira Jerusa M. , Freato Thiago A. , Santos Felipe M.
Published: October 2022

BACKGROUND: Prochilodus vimboides populations are being reduced in rivers due to changes in their habitat, overfishing, urbanization, and pollution. OBJECTIVE: To evaluate the effect of sperm extender solutions for short-term storage and cryosolutions for freezing
sperm of Prochilodus vimboides . MATERIALS AND METHODS:For short-term storage, the sperm was diluted in 0.9% NaCl, 1.2% NaCl, 5%glucose, 5% BTS ® , or 6% MIII ® . Sperm motility was evaluated after 0, 24, 48, and 72 h of short-term storage at 4-6ºC. For cryopreservation,
sperm samples were diluted in the same extenders and factorially combined with three cryoprotectants (dimethylsulfoxide, methyl glycol, and ethylene glycol). After thawing, sperm motility and oxidative stress parameters were evaluated. RESULTS: Dilution of samples in BTS® preserved
sperm motility >40% for up to 48 h. Samples cryopreserved in 5% glucose and methylglycol presented higher sperm motility, lower catalase, and lipid peroxidation activities.CONCLUSION: Prochilodus vimboides sperm can be cooled for up to 48 h in an extender solution of 5% BTS
® and cryopreserved in 5% glucose and methyl glycol.
Use of Biological and Synthetic Polymers for Human Spermatozoa Cryopreservation
Authors: Petrushko Maryna , Yurchuk Taisiia
Published: October 2022

BACKGROUND: Spermatozoa cryopreservation is an integral part of the assisted reproductive technologies for treatment of infertility. It is also used to preserve the reproductive potential of men. However, using a standard freezing method with glycerol leads to a decrease in morphological
and functional characteristics of spermatozoa in the case of oligoasthenoteratozoospermia (OAT). Therefore, it is relevant to develop effective methods of cryopreservation for such sperm. The use of various biopolymers can stabilize the membrane and bind excess water, which forms ice crystals
in the medium that causes cell damage when temperature decreases. OBJECTIVE: To study the effectiveness of using cryoprotectant mixtures based on biological and synthetic polymers [serum albumin, polyvinylpyrrolidone (PVP) and insulin] for the cryopreservation of human spermatozoa
with OAT. MATERIALS AND METHODS: Human spermatozoa with OAT were cryopreserved using different cryoprotectant media containing 10 % glycerol or 10 % PVP, 20 % albumin and 1 μg/m L human insulin. The viability, motility and mitochondrial membrane potential of spermatozoa were assessed
after rewarming. RESULTS: A cryoprotectant solution containing 10 % PVP, 20 % human serum albumin and 1 μg/m L insulin enabled a similar level (%) of viable gametes compared with the standard method using glycerol, while the number of motile cells was significantly lower (p <
0.008). The membrane mitochondrial potential did not differ significantly from fresh sperm. CONCLUSION: The data obtained in this study show the effectiveness of a biopolymer mixture containing PVP, serum albumin and insulin for the cryopreservation of human OAT spermatozoa.
Financial product investment decision model based on ultimate benefit
Authors: Zhong Yunhan
Published: October 2022

With the vigorous development of the financial market, more and more people enter the financial market for investment, it is very necessary to build a quantitative analysis and decision model based on data for ordinary traders.  This paper selects two time series prediction models GM(1,1) and ARIMA for comparison.  For GM(1,1), we improve it to obtain unbiased GM(1,1) and unbiased metabolic GM(1,1).  Unbiased metabolism GM(1,1) was selected from the three grey prediction, and three combinations were formed by ARIMA and grey prediction respectively.These three results are used separately for the decision model, which prediction model to choose is determined by the final return. The investment decision model established in this paper is helpful for financial practitioners to improve investment profit and has certain application value.
Analysis on Portfolio Selection under Markowitz Model and Index Model before and After Covid-19 Outbroke
Authors: Wang Yuyan
Published: October 2022

The worldwide outbreak of COVID-19 in early 2020 has brought great challenges to global economic development. Against this background, how to choose a better portfolio to invest in becomes a problem. The purpose of the study is to find the effect of COVID-19 on different type of portfolios under one benchmark and four constraints by utilizing Markowitz model and Index model. This paper selects one stock index and six stocks from three different industries to form a portfolio. Portfolio which only consider risks and portfolio which consider both risks and returns under the Markowitz model and the index model with different constraints are presented respectively. The empirical results show that the portfolios that performed best before COVID-19 were difficult to choose. However, statistics after COVID-19 shares similarity. In general, the portfolio when the weight of SPX is zero shows the best performance in the Markowitz model, and the portfolio when the sum of the absolute values of all weights is less than or equal to two shows the best performance in the index model. This paper also contributes to provide a guideline to conduct investors to choose better investment portfolios by different models after COVID-19.
The Influence of Digital Inclusive Finance on Business Performances —— Based on Small and Median-sized Enterprises in the Chinese Stock Market
Authors: Chen Hanqi
Published: October 2022

In recent years, digital inclusive finance is growing rapidly in China. Based on the 5030 samples from the SME board and ChiNext board from 2011 to 2020, this paper discovered the incremental effect of digital inclusive finance on firm performance through panel data regression models. By using the digital inclusive finance development index to represent the level of digital inclusive finance and using return on equity to measure the business performances, this paper successfully figures out the quantitative relationship between these two variables. The digital financial inclusion, coverage breadth, and depth of usage all enhance the business performances of those companies. For SMEs in the eastern region, non-manufacturing industries, or with strong internal control capabilities, the development of digital inclusive finance will lead to the improvement of the business performance as well. The results not only enrich the relevant literature on the economic effect of digital inclusive finance but also provide empirical evidence for government and enterprises to stimulate economic growth.
An Empirical Investigation of Markowitz and Index model in the US Capital Market
Authors: Sun Xiaofan
Published: October 2022

This paper uses Markowitz's portfolio theory and index model, combined with the five most commonly used constraints in the market, to conduct portfolio analysis on ten stocks, in order to provide individual investors with a more scientific investment portfolio construction method, seeking the smallest risk and maximum return and providing relevant investment advice.
Research on the application of time series ARIMA model in trade strategy
Authors: Ye Shuohong , Zhang Mingyu , Yu Jiabeizi
Published: October 2022

Market trading has always been a popular choice for bold investors, but market trading doesn't rely on pure luck. More need for daily experience and data. In this article, we will model the random forest algorithm for a specific situation and find the best strategy. Then it is proved that the model can provide the best trading strategy, which can be understood as proving the fit of the model established above. Using the real value of bit coin and gold prices in 5 years, establish a time series ARIMA model, analyze the smoothness and pure randomness of the series.Then get the ARIMA model fitting of bit coin and gold, indicating that the prediction model is very suitable. For the dynamic programming model, this paper adopts a genetic algorithm for the judgment of the optimal buy-sell node, which accelerates the convergence speed. To understand how the trading price affects the strategy and the results, sensitivity analysis is also done in this paper. Considering giving a certain perturbation to the results and giving a perturbation margin of 5% to the buying and selling fees respectively, the algorithm is iterated to calculate the sensitivity of the investment strategy to the trading cost and analyze how the change in the trading cost would affect the buying and selling strategy.
Analysis and research on the Financial Management Risk of Construction Enterprises based on ISM-MICMAC
Authors: Mao Chuanmei , Wu Sihong , Zhang Cheng
Published: October 2022

In recent years, the competition in China's construction market has become more intense. Due to the special nature of the construction business, the financial risks of construction enterprises are constantly highlighted, and it is essential to control the financial management risks in the construction industry. This paper has innovatively adopted ISM-MICMAC to connect the risk factors from three levels of management, external interaction, and specific construction, and finally constructed a five-level financial management risk index system for the construction industry. The research results show that management risks of construction enterprises need to be controlled as a priority, external interaction risks play a taking over role in the risk system, and construction risks depend on other levels of risks. The findings of this paper will provide a sufficient theoretical basis for the prevention of financial management risks in construction enterprises.
Research on trading strategy based on improved LSTM network model
Authors: Peng Sitong , Zhang Zijue , Lin Zhifeng
Published: October 2022

The economic foundation determines the superstructure of society. Sustainable development of society is inseparable from economic prosperity, and investment has an irreplaceable role as one of the "troika" to promote social economy. Based on this, the modeling in this paper aims to study the trading strategy problem. In this paper, firstly, outliers and missing values are processed by Laiida's rule for the attached data, and then a multi-layer LSTM weighted model is proposed to learn the influencing factors of input time span on output time span by using multi-layer LSTM network, and the model is trained to achieve higher accuracy relative to the LSTM model through the embedded method: superposition of the influence generation cycle sequence. Attention mechanisms are introduced and short and long term forecasts are continuously made. The fluctuations of MACD, RSI indicators, Apriori and other parameters are quantified; then, a risk measurement index is constructed, where the greater the cyclical price fluctuations, the greater the risk. The results show that timely buying and selling maximizes returns, and that a $1,000 investment ends up with a $900,000 return. The model is run again by increasing or decreasing the percentage of transaction costs, setting 0.5%, 1%, 1.5% and 2% points, to test the magnitude of sensitivity (trading decision results) at different transaction costs. The results show that the model is more robust, i.e., the model constructed in this paper has better results under different transaction costs.
Effect of the Structure of the Balance Sheet on the Performance of the Commercial Banks Taking Listed Commercial Banks in China as Examples
Authors: Cai Hanchen
Published: October 2022

Commercial banks play an important role in China's national financial system. However, in recent years, with the fast development of internet finance and diversification of financing method, traditional commercial banks have been confronted with many sources of shock. In this context, commercial banks are struggling making profit to survive. However, in the way they adjust, some are successful and some are not. At the same time, how to adjust the structure of its balance sheet is very important for the development of commercial banks. This research focuses on the relationship between the structure of the balance sheet and the performance of the commercial banks, using empirical analysis method. And the data comes from the annual reports of 42 listed commercial banks from 2011 to 2020.At last, the result shows that loan-deposit ratio is in negative correlation with the performance, inter-bank borrowing to inter-bank lending ratio is in positive correlation with the performance, and loan-asset ratio is in positive correlation with the performance. In addition, the increase on the proportion of trading financial assets can also lead to the improvement of the performance. By finding out the relation between the structure of the balance sheet and the performance, this research has indicated an effective way of the adjustment on the balance sheet aiming for a better performance, with sufficient evidence and objective analysis.
The Revolution in Banking Method and The Total Transaction in Canada
Authors: Yang Siwen
Published: October 2022

In this century, as the digitalization of banks continues, the payment methods evolved from paperwork to online. While more and more consumers accept new banking methods, it appears to have increasing doubts about whether this digitalization really provides convenience to consumers and encourages people to make more transactions, or banks are merely following the trend, which in fact makes things more complicated. The topic of this paper is how innovations in banking methods change the volume of transactions in Canada. The three major methods of payment involved in this paper are credit card payment, internet payment, and mobile payment. The discussion is based on a prediction that the transaction volume would be positively influenced if more advanced banking methods are launched. The goal of this essay is to evaluate the reliability of this prediction by referring to real-world data, research results, and articles. In the end, based on the results concluded from the analysis, the conclusion will be drawn.
A Two-Stage ARIMA Model via Machine Learning and its Application in Stock Price Prediction
Authors: Zhang Fenglin , Chen Long , Yu Jiwen
Published: October 2022

Stock price prediction has always been a hot issue in the financial sector and quantitative investment. Since stock price time series data tends to have linear and nonlinear features, traditional ARIMA models exhibit certain limitations in modeling such data. Based on this, this paper innovatively uses intraday transaction data of the stock market as auxiliary information, and proposes an improved ARIMA stock price prediction model based on machine learning methods. The specific principle is to use the ARIMA model to predict the linear information of the data, and machine learning-related algorithms (RF, XGBoost, LSTM) are used to predict the nonlinear residual information. The empirical results show that compared with the traditional ARIMA model, the model can effectively improve the prediction accuracy and is robust in stock price prediction. Finally, because this framework is very flexible in content, it can be equipped with machine learning methods with the best prediction accuracy for different practical application scenarios. In addition, we can use the model averaging method in the two-stage framework to improve the accuracy, and the mixed or high-frequency data can be further mined.
Portfolio return prediction model based on gold and Bitcoin
Authors: Wen Chengge , Lu Siyan , Jiang Jiaxuan
Published: October 2022

Maximizing returns has always been people's investment goal. Gold and bitcoin are popular with investors because of their hedges and volatility. However, markets are risky and can be influenced by different economic, political and environmental factors. As a result, bitcoin and gold prices fluctuate wildly, leading to uncertain investment and uncertain returns. In order to maximize the profit, this paper completes the data processing and model construction to make decisions. Based on the Markov decision process of avoiding risk avoidance, reducing transaction cost and maintaining liquidity, and assuming that the stock market is not affected by enhanced trading agent, deep reinforcement learning (DRL) is used to simulate stock trading. The application of the model is helpful to forecast the return of investment portfolio and brings strong application value to the relevant practitioners.
Sensibility and rationality in investment
Authors: Fan Hongjian , Wang Tianqi
Published: October 2022

Feeling and impulse are the first level of thinking, and investing only by feeling and impulse is an unreliable investment behavior. Unfortunately, some people either take their own course by feeling, or following other people blindly. Such behavior is very risky. The purpose of investment itself is to grab the biz. In order to achieve the purpose of profit, we should keep a sensitive mind and formulate concrete scientific investment methods. In an effort to make investors come with joy and back with satisfaction, we start our modeling effort. Finding the result is also an important part of the paper. Based on two models of gray prediction and trading strategy, our team solved the profit amount set out on October 9,2021. The final solution result is $242,584.835. What’s more, we also give 5 reasons to show that our trading strategy is optimal. Among them, our team thinks that the most important thing is that our model can not only achieve profit purposes in the long term, but also better regulate the market with frequent short-term fluctuations. Sensitivity analysis is also an important part of this paper. Our team visualizes the obtained results and then analyzed from macro and micro perspectives, respectively, to speculate on the possible causes. Finally, we communicated our trading strategy to traders as a memo.
The Comparison between CAPM and FF3 Model: Evidence from America
Authors: Gao Yundi , Hu Zhenyu
Published: October 2022

As the most developed financial market in the world, liquidity in the market remains in a very strong position despite the recent rise in long-end US bond rates. This paper compares the usefulness and characteristics of Capital Asset Pricing Model and Three Factor Model by using the regression model to carry out bigdata analysis from the US market between 2021 and 2022. Based on the analysis, Three Factor Model is better suited to today’s market with the characteristic of variability and uncertainty. However, the concerns raised by previous studies regarding the momentum effect still remain unresolved. In order to enhance the reliability and precision, data spanning a longer period of time should be selected. This paper can be of great help to investors who need to make financial decisions, as it compares the beta of each stock with the beta calculated from two models to find out which model gives a more accurate forecast. Overall, these results shed light on beta evaluation model selection for the state-of-art approaches.
The Impact of Covid-19 on the US Stock Market: Evidence from Time Series Model
Authors: Qiu Tian
Published: October 2022

In this study, we conduct a time series analysis of the US stock market’s response to the COVID-19 pandemic. Using both US and global daily COVID-19 newly confirmed cases and stock market returns data represented by Nasdaq, S&P 500, and Dow Jones over the period 31 December 2019 to 30 December 2021, we examine a time-series impact of COVID-19 on the US stock market. We employ our input into a vector autoregression model (VAR) and ARMA-GARCH model to characterize the dynamic relationship between both domestic and global COVID-19 infections and the performance of the US stock market. The findings show that COVID-19 has an initial negative shock on the stock market with large volatility clustering within 60 days after the initial pandemic outbreak. After around 200 to 300 days, the number of new COVID-19 cases per day does not have a statistically significant impact on the US stock market.
Does the Sci-Tech Innovation Board Make the Chinese Market Better? From the Perspective of the Factor Model
Authors: Lin Yuhao , Qing Jiacheng , Wang Xinyuan
Published: October 2022

Given different views on the practicality of the multi-factor models in the Chinese stock market, this paper combines this very advanced pricing model with the newly established Chinese board, aiming to explore a pricing model applicable to the Chinese market. The selected data is all the quoted companies in the Sci-Tech Innovation Board from 2020/06/05 to 2022/04/15. The explanatory power of each multi-factor model to the board and their effects on the model are studied. In particular, this paper includes redundancy tests, GRS tests, and regressions. The main conclusions deduced from this experiment are: first, the three-factor model is very significant in all aspects; second, the five-factor model is more significant in some groups, and there is a significant difference after adjustment by the five-factor model—the book-to-market ratio effect and profitability effect. Nonetheless, since many imperfections exist within the system of the Chinese stock market and many regulations might have significant changes in the future, continuing to explore other pricing factors appropriate for the market is still the main research orientation in this field.
Russia Ukraine Conflict, Crude Oil Price and Dynamic Changes in Dow Jones Index
Authors: Lin Yiming
Published: October 2022

This study conducted a time series analysis of the Dow Jones Industrial Average’s response to the Russia Ukraine conflict through the change in crude oil continuous contract price. The relevant data was derived from 1st November 2021 to 29th April 2022. The inputs were employed in the vector autoregressive model (VAR), autoregressive moving average models (ARMAX), and ARMA-GARCH model to quantitatively characterize the dynamic relationship between the daily rate of returns of DJI and crude oil price. The finding suggested that the stock market reacted volatilely during the early stages of the Russia Ukraine conflict, and later the market eased the volatility. The result provides critical implications for investors to hedge risks in their international portfolio diversification.
The impact of Russian-Ukrainian Conflict on the Dynamics of Bitcoin
Authors: Zhou Yuye
Published: October 2022

On February 24, 2022, Russia’s invasion of Ukraine marked a full-scale escalation of the Russian-Ukrainian conflict into war. The global economy and finance were affected by the Russian-Ukrainian conflict, which most obvious is that crude oil prices continued to rise rapidly. With the development of the times, cryptocurrencies are becoming more and more important and cannot be ignored. Cryptocurrency may serve as an effective alternative or balancing asset to cash, which may depreciate over time due to inflation. In addition to the real commodity market, the Russian-Ukrainian conflict would certainly have a certain impact on the cryptocurrency market. Bitcoin is the largest cryptocurrency and can represent the changes in the entire cryptocurrency market to a certain extent. This paper examines the dynamic impact of the Russian-Ukrainian conflict on Bitcoin returns and volatility. There are two main results in this paper: the increase in the futures crude oil price has a significant dynamic correlation with the Bitcoin yield, but this relationship is short-term and will disappear over time; the increase in futures crude oil prices will not lead to greater fluctuations in Bitcoin yields. This result can be generalized to the entire cryptocurrency market, which means the Russian-Ukrainian conflict would have a short-term impact on the entire cryptocurrency, but this effect won’t continue for the long-term. Also, this research shows that the cryptocurrency market is independent to some extent.
Research on the influence of human capital on economic growth
Authors: Yu Xianhe
Published: October 2022

Economic growth has always been an economic phenomenon expected by the public, and it is also a hot topic studied by a wide range of scholars. So far, there have been a lot of domestic and foreign research literature on the phenomenon of economic growth, and it goes without saying why economic growth has always been such a hot topic. The purpose of this paper is to study the impact of human capital on economic growth by analyzing the data samples of China's 31 provinces (excluding Hong Kong, Macao and Taiwan) from 2009 to 2018 in the National Bureau of statistics and the China Statistical Yearbook. The main result of the analysis is that although educational human capital has a positive impact on China's real GDP growth, the correlation is not very significant. As for the health capital in human capital, the research shows that the relationship between health capital and economic growth is not significant. Overall, this study shows that China should reduce its dependence on physical capital investment, so as to improve the return on human capital investment and find a new path for economic growth, which can also help the economy avoid the middle-income trap.
Research on Maximization of Investment Income Based on Linear Method
Authors: Liu Tianle , Chen Chaoyang , Zhang Jiahao , Chen Zhihong
Published: October 2022

In this paper, we analyze the trading process of investment by building models for evaluating and trading investment products and using mathematical and economic knowledge and methods. We obtain the purchase coefficients and trading recommendations by quantifying the indicators of investment products. And through linear and nonlinear equations to get the trading volume. All in all, our goal is to obtain the largest income throughout the whole trading date sequence. In the end, we discuss the shortcoming of the model.
Bank Customer Churn Based on Different Models, Oversampling, and Encoding Methods
Authors: An Zekun , Song Zhangdi , Wang Xueying
Published: October 2022

Customer churn prediction (CCP) is one of the cornerstones of Customer Relationship Management (CRM), in which one seeks to forecast whether or not a customer will quit the organization. Currently, plenty of algorithmic focuses on CCP. To fill the gap in the current study, this paper builds different models to predict bank user churn based on data from Kaggle. Specifically, we investigate the difference between models with and without oversampling, as well as discuss the difference between models under different coding methods. According to the results, ‘smote’ does not necessarily improve the performance accuracy, one hot encoding is more effective than target encoding. Finally, after all aspects of comparison, the logistic regression model is more reliable in the future analysis of customer churn of commercial banks. These results offer a guideline for future bank customer churn prediction.
The Strategic and Financial Analysis of Hermès
Authors: Zhu Danyang
Published: October 2022

Since the outbreak of the COVID-19 in 2019, the global economic development, including the luxury industry, has suffered a serious blow. As a leading international luxury brand, Hermès has been running their business successfully for 185 years and has just survived the crisis caused by the epidemic. It is well worth analyzing and discussing Hermès from the perspective of strategy and financial statements to provide reference and inspiration for the luxury industry and other industries that have not recovered from the negative impact of the epidemic. This article analyzes Hermès’ internal environment, external environment and strategies by adopting PESTEL analysis, five forces analysis and SWOT analysis and discusses Hermès’ financial position, results of operations and risk factors by analyzing its universal registration document. According to the strategic and financial analysis, it is apparent that Hermès was affected by the epidemic of short duration, but now it has got through the crisis and returned to strong growth.
Volatility Forecasting of Copper Futures Based on HAR-RV Model
Authors: Fang Ziyi , Zhao Chenyang , Zhong Zichun
Published: October 2022

As an important part of the international futures market, copper price prediction is important for international financial market research. This paper selects the high-frequency data every 5 minutes from the database and uses the HAR-RV model based on realized volatility. By introducing investor sentiment and the day of week effects, we have established three new types of non-uniform autoregressive models. Empirical analysis shows that the weekly and monthly fluctuations of copper futures prices are relatively small, while the daily fluctuations are relatively large. The prediction model is more accurate when predicting the long-term volatility, and the stability test shows that the HAR-RV model is relatively stable when predicting the long-term volatility. Investor sentiment has a negative impact on the price volatility of copper futures in the medium and long-term forecasts. Weekend effects have a negative impact on the medium and long-term forecasts of copper futures. This paper complements the existing literature and improves the prediction ability of copper price fluctuations, which is very important to promote effective hedging, risk transfer, and price discovery in the futures market.
Application of Fama-French 5-factor model on investigating the influence of Covid-19 on meal industry in U.S. stock market
Authors: Chen Zhuofu , Zhou Chengchen , Su Yifei
Published: October 2022

At the end of 2019, New Coronavirus first swept China and spread to the whole world, which affected almost all industries globally. Therefore, both the economy and the stock market in this world received a punch. This essay uses the Fama-French model to calculate the rate of return of a given asset in the meal industry. The periods chosen for this research are September 2019 to February 2020 and March 2020 to August 2020, which are before and during the Covid-19. Due to the impact of the Covid, to control the flow of people and prevent cross-infection, many public places were forced to close, so were restaurants. Therefore, the industry selected in this paper is the meal industry. In conclusion, because of the volatility of the US stock market, the shares of the beverage industry have also been seriously affected. Due to the epidemic's impact, large enterprises tend to overestimate themselves, but investors have fewer expectations of them. Therefore, although the risk of small enterprises in the catering industry is greater, the income of small enterprises is greater than that of large enterprises, and the small-scale effect is enhanced. Therefore, investors are more inclined to invest in small enterprises. In addition, Fama-French five-factor model also shows that investors are more inclined to choose companies with aggressive investment styles.