bluuebunny/crossref_metadata_2025 huggingface dataset:
URBAN FARMING DAN TAMAN EDUKASI MENDUKUNG PENINGKATAN KETAHANAN PANGAN DI KELURAHAN SAKO KOTA PALEMBANG
Authors: Sri Wagi , Austin Trecy , Pusnita Indah
Published: October 2022

Program Kampung Iklim bertujuan untuk meningkatkan partisipasi masyarakat dan pemangku kepentingan lainnya untukmeningkatkan adaptasi terhadap dampak perubahan iklim, mengurangi emisi gas rumah kaca, dan menilai adaptasi terhadapperubahan iklim yang merupakan kerangka nasional yang dikelola oleh Kementerian Lingkungan Hidup dan Kehutanan.Langkah-langkah mitigasi tersedia dan dapat meningkatkan kesejahteraan di tingkat lokal, tergantung pada kondisi lokal. Desaiklim adalah tempat yang terletak pada tingkat administrasi terendah di tingkat paroki atau dusun dan pada tingkat administrasitertinggi di tingkat kecamatan atau desa atau di mana masyarakat berusaha untuk beradaptasi dan memitigasi perubahan iklim.terus menerus. Berdasarkan hasil koordinasi dan survey lokasi di RT 98 RW 37 Kelurahan Sako Kecamatan Sako Kota Palembang yang dinilai sesuai dengan konsep Urban Farming, serta dengan menerapkan taman edukasi di areal Urban Farming sebagai media pengenalan dan percontohan Urbang Farming.
A lei 13.415/2017 e o novo Ensino Médio: por uma análise da presença internacional na formulação da política pública
Authors: Marum João Francisco , Mèrcher Leonardo
Published: October 2022

A presente pesquisa analisa a trajetória da reforma do novo Ensino Médio brasileiro a partir da lei 13.415/2017, dando maior atenção à presença internacional de interesses por meio dos financiamentos e orientações do Banco Mundial em sua execução. Como metodologia, fez-se: i) análise do conteúdo dos dois projetos de reforma do Ensino Médio no Brasil, o proposto pela lei 6.840/2013 e pela lei 13.415/2017, resultante da MP 746; ii) análise documental dos procedimentos de formulação da lei 13.415/2017, identificando a participação técnica, popular e internacional; e iii) a problematização dos dados com ênfase maior nas orientações internacionais do Banco Mundial para a educação e dos demais agentes envolvidos na lei em vigor. A possibilidade de compreender o atual cenário a partir das principais ideias de Roberto Mangabeira Unger em relação aos rearranjos para o sistema educacional brasileiro também são aqui inseridos para fomentar o atual debate sobre o desenvolvimento de nações após o colonialismo mental. Como resultado, são identificados documentos que trazem em si o registro de incentivos e interesses internacionais na abertura dos sistemas públicos de ensino ao mercado e à priorização do ensino técnico-profissionalizante.
An Exploration of Students’ Motivation in Learning English
Authors: Selimovic Sedina
Published: October 2022

Motivation has been recognized for some time as one of the fundamental elements that influence English language learning. The English language is considered a world language and has therefore become a necessity for many people, whether for education, employment, or the like. The ability to speak English fluently is now considered a necessary skill, especially for the younger generation, and therefore various studies have been conducted to investigate the nature of motivation. This study analyzed the sort and level of English language learning motivation (extrinsic or intrinsic) of 100 randomly chosen participants from 16 to 35+ years old in the Sarajevo Canton. A quantitative motivational survey of 15 questions based on Gardner's Attitude/Motivation Test was adapted. The data were analyzed by frequency, percentage, arithmetic mean, and standard deviation. The main results show that participants tend to be highly but extrinsically motivated to learn English. This indicates that extrinsic motivation is an important component in this group of English learners. Based on the current study findings, a few relevant and beneficial learning suggestions are proposed for the improvement and growth of the learners' motivation.
A Contribuição Educacional dos Jesuítas em Timor-Leste
Authors: Cavalcante Márcia V.
Published: October 2022

Os jesuítas se fixaram em Timor-Leste em 1889, quando Timor ainda pertencia à diocese de Macau. Antes da chegada dos jesuítas, a principal participa- ção católica naquele território era dos dominicanos. Neste trabalho, pretende-se, portanto, historicizar a participação da “Companhia de Jesus” na educação escolar de Timor-Leste durante o período colonial português, especialmente no que diz respeito às contribuições para a sociedade timorense a partir de sua atuação no Colégio de Soibada, fundado no ano da sua chegada. Serão abordados ainda os aspectos socioculturais relacionados à metodologia e aos materiais utilizados por esses missionários na educação escolar timorense. Destacaremos também as principais obras por eles elaboradas sobre a língua tétum e a relação desses materiais com o ensino da língua portuguesa, ressaltando seus objetivos e contributos, especialmente no que diz respeito à escrita da língua tétum. Sempre que necessário, serão correlacionados alguns fatos históricos que de algum modo ajudem a entender a atuação jesuítica em contexto timorense.
Radiation Induced Changes in Makrofol PCVM Polycarbonate
Authors: A Bahareth Radiyah
Published: October 2022

Makrofol PCVM is a sort of Makrofol polycarbonate solid state nuclear track detector. It is worth mentioning that this paper is almost the first one that deals with the modification of the optical properties of this type of Makrofol under the effect of laser radiation. Samples from Makrofol PCVM were exposed to infrared pulsed laser with different fluences ranging from 15 to 125 J/cm2 . UV spectroscopic technique was used to obtain knowledge about the optical parameters that describe the samples under study. The changes of Urbach energy (Eu ), optical band gap (Eg ) and refractive index (n) with the laser fluence were investigated. Both Eu and n increased with increasing the fluence up to 125 J/cm2 , associated with a decrease of Eg values. These trends were assigned to the predominance of chain crosslinking that damaged the crystalline portion in the Makrofol polymer. Additionally, we used the CIE technique to calculate the color differences between the noncoloured pristine and the irradiated samples. The crosslinking created color centers that produced color difference between the exposed films and the uncolored pristine Makrofol film. The color difference was significant as the values of ΔE were greater than 5. This optimized the Makrofol polymer to be used in dosimetric applications.
Yolov5-based fall detection algorithm for homebound people
Authors: Wang Fumin
Published: October 2022

According to the statistics from the official website of the National Bureau of Statistics, the population over 60 years old in China is close to 260 million, accounting for about 18.7% of the total population. As society moves towards aging, the safety problem of the elder people alone is gradually highlighted, and the accidental fall of the elderly at home has become a problem that cannot be ignored, and developing fall detection technology to mitigate the danger of falls of the elderly is imperative. So, this paper proposes a fall detection method which is based on deep learning. Specifically, the method is based on the Yolov3 method, and to enhance the accuracy and speed, the Yolov3 algorithm is updated to Yolov5s. The final experimental results also confirm that the above method has achieved the purpose.
Research on a UUV Cluster Communication Model
Authors: Fu Hai
Published: October 2022

The characteristics of low bandwidth and high packet loss of underwater communication restrict the research and development of UUV cluster. This paper proposes a UUV cluster communication model, which increases the overall network throughput and improves the overall data transmission efficiency within the cluster network.
COMPARATIVE EVOLUTIONARY ANALYSIS OF CHICKPEA CHLOROTIC DWARF VIRUS (CPCDV) INFECTING COTTON AND OTHER HOST PLANTS
Authors: ATIF M , AHMAD F , MANZOOR MT , GILANI K , ALI Q , SARWAR M , ANJUM S , ALAM MW , HUSSAIN A
Published: October 2022

The Chickpea Chlorotic Dwarf Virus (CpCDV) has proved very much devastating not only for chickpea crop but also for lentils, cotton and papaya. In recent past years, this mastrevirus put a sublime pressure on hosts and reduced yield up to 95%. This virus is most prevalence in dry regions and equally important pathogen in other parts of the world especially in America and Europe. This capability is due to rapid changes in DNA. Vector species also play important role in spread of this virus. Here evolutionary study of 27 genomes was done. All genomes obtained from tomato crop are ancestors and rest are offsprings. According to our finding, CpCDV is very important pathogen not only for Fabaceae family but also for Malvaceae, Solanaceae and Cucurbitaceae family.
De Gereformeerde Kerken Vrijgemaakt en het verval van het narcisme van de kleine verschillen
Authors: Hak Durk
Published: October 2022

Since their inception during WWII, the Re-reformed churches in the Netherlands have cherished their neo-Calvinist, ‘truly reformed’ identity. Early on, they formed a ‘free reformed mini-pillar’, which strengthened once more their ‘narcism of minor differences’. Since the last decade accelerated rationalization processes have slowly affected the ‘truly reformed’ norms and values, their observation, and memberships and participation in the reformed intermediate groupings, resulting in the decay of the narcism of the minor differences. This in its turn has resulted in two fissions, ecclesiastical pluralism, and unchurching. Yet, the unrest is far from over, rumours of new fissions are rampant, and evangelicalization and pluralism can be observed. Apart from the description of the processes, theoretical insights are used to analyze these processes, their causes and consequences.
The Expression of Plasma Protein in Bali-polled Bulls Using 1D-SDS-PAGE
Authors: Diansyah Athhar Manabi , Yusuf Muhammad , Toleng Abdul Latief , Dagong Muhammad Ihsan Andi , Maulana Tulus
Published: October 2022

The fertility rate of bulls in a breeding program is not only described by the quantity and quality of semen. Factors, such as the interstice factor of the sperm and the plasma component of semen, affect the fertility rate of bulls. The fertility rate can also be determined by identifying the protein content of semen plasma. Therefore, the current study aimed to identify the relationship between seminal plasma protein molecular weight and semen quality of Bali-polled bulls. The study was conducted at the Laboratory of Semen Processing, Faculty of Animal Science, Hasanuddin University, Makassar, Indonesia, the Research Center for Applied Zoology, National Research and Innovation Agency, Cibinong, Indonesia and the Laboratory of Animal Biotechnology Center, IPB University, Bogor, Indonesia from November 2021 to January 2022. The samples came from 5 Bali-polled and 5 Bali-horned bulls. Semen collection was conducted twice a week using an artificial vagina. The concentration of seminal plasma protein was determined by the Bradford method of 1D-SDS-PAGE. The study results showed that fresh semen of Bali-polled and Bali-horned bulls was considered a normal category. Seminal plasma proteins of Bali-polled and Bali-horned bulls were classified using 8 bands to categorize molecular weight; 150 kD (IGF-1), 110 kD (A-kinase anchoring protein 3), 93 kD (A-kinase anchoring protein 4), 54-87 kD (Arylsulfatase-a), 44-62 kD (N-Acetyl-ß-Guicosaminidase), 44kD (Phosphoglycerate kinase), 15-30 kD (BSP A1/A2, BSP-A3 and BSP-30 [BSP1, BSP3, and BSP5]) and 12-14 kD (Acidic seminal fluid proteins). The findings indicated that both Bali-polled and Bali-horned bulls could have a high reproductive rate. In conclusion, protein analysis based on molecular weight using 1D-SDS-PAGE can be used as a biomarker for semen quality in Bali-polled bulls. Therefore, evaluating the semen quality with a molecular basis as an additional indicator of superior bull in the selection process is an alternative method.
Rancang Bangun Sistem Informasi Bea Cukai Belawan (Aplikasi Sibela) Dalam Pengajuan Berkas Berbasis Web
Authors: Silaen Hendramanto
Published: October 2022

Di zaman modern saat ini akses informasi untuk segala bidang baik dunia pendidikan sampai dunia bisnis menentukan kemajuan suatu bidang. Dengan diterapkan teknologi informasi sangat mempermudah dan memberikan manfaat besar bagi pengguna untuk mengaksesnya. Akan tetapi saat ini penggunaan tersebut belum dimanfaatkan secara efektif mungkin pada Kantor Bea Cukai Belawan. Di kantor Bea Cukai Belawan masih menggunakan manual dalam kegiatan pengajuan berkas dan masih menggunakan metode interaksi  secara langsung dengan pegawai yang mana pengguna jasa harus datang ke Kantor Bea Cukai untuk memberikan berkas pengajuan. Cara ini dianggap kurang efisien dan efektik dalam penggunaan waktu. Maka tujuan dari penelitian tugas hari ini adalah untuk membuat Sistem Informasi Bea Cukai (Aplikasi Sibela) dalam Pengajuan Berkas menggunakan bahasa pemrograman PHP dan MySQL dengan web server Apache dan menggunakan aplikasi kode editor sublime text  untuk membantu penulis mengerjakan pekerjaan lebih cepat dan mudah. Pokok utama dari aplikasi sibela berbasis web ini untuk mengelola data yang lengkap mengenai Kantor Pengawasan dan Pelayanan Tipe Madya Pabean Belawan. Dengan ada nya aplikasi sibela berbasis web tersebut, pengguna jasa dapat melihat semua informasi  dan memberikan pengajuan berkas pelayanan
Optimalisasi Pemanfaatan Lahan Berbasis Pertanian Terpadu di Pondok Pesantren Ma’ruful Hidayah
Authors: Ridwan Wawan , Supiana Supiana , Zaqiah Qiqi Yuliati
Published: October 2022

Penelitian ini membahas terkait dengan optimalisasi pemanfaatan lahan berbasis pertanian terpadu di Pondok Pesantren Ma’ruful Hidayah. Metode yang digunakan pada penelitian ini adalah analisis deskriptif kualitatif, sedangkan teknik pengumpulan data dilakukan melalui wawancara, dan observasi. Dari hasil pengolahan data maka diperoleh kesimpulan bahwa ketersediaan lahan non produktif di lingkungan sekitar Pondok Pesantren Ma’ruful Hidayah merupakan potensi yang bisa dimanfaatkan secara optimal. Lahan non produktif tersebut akan dioptimalkan untuk produksi sayuran berbasis pertanian terpadu. Sistem pertanian terpadu yang akan diterapkan adalah metode hidroganik yaitu suatu metode yang menggabungkan budidaya tanaman sayuran dengan budidaya ikan air tawar. Operasionalisasi instalasi hidroganik, memungkinkan mitra memproduksi bahan pangan secara mandiri dan menghemat pengeluaran belanja pangan santri berasal dari produksi tanaman cabai, tomat dan lele. Taksasi produksi cabai mencapai 200 kg / periode produksi, sementara produksi lele mencapai 208 kg dengan nilai total mencapai Rp 10.015.333,- Dampak sosial yang diperoleh mitra dengan adanya peningkatan pemanfaatan lahan non produktif ini berharap pesantren mampu berdikari dan berkontribusi pada masyarakat di bidang sosial ekonomi, dengan kekuatan usaha perekonomian yang dikelola secara mandiri, guna mewujudkan visi mitra yaitu mencetak generasi yang Taqwa, Kreatif, Inovatif dan Mandiri.
Meningkatkan Hasil Belajar Siswa dengan Menerapkan Model Pembelajaran Kooperatif Tipe Team Game Tournament (TGT)
Authors: Mulyadi Dedi
Published: October 2022

Penelitian ini membahas terkait dengan meningkatkan hasil belajar siswa dengan menerapkan model pembelajaran kooperatif tipe team game tournament (TGT). Metode yang digunakan pada penelitian ini adalah analisis deskriptif kualitatif, sedangkan teknik pengumpulan data dilakukan melalui wawancara, dan observasi. Penelitian ini dilakukan di SMA Negeri 25 Garut. Subjek dari penelitian ini adalah siswa kelas XI. Dari hasil pengolahan data maka diperoleh kesimpulan bahwa adanya peningkatan rata-rata nilai pada tiap siklusnya setelah diterapkan model pembelajaran kooperatif tipe Team Game Tournament (TGT) dan tercapainya ketuntasan belajar siswa secara klasikal sebesar 77, 78 % pada siklus terakhir. Siswa dapat termotivasi bekerjasama lebih baik dalam kelompoknya dengan pembelajaran kooperatif tipe Team Game Tournament (TGT). Penelitian ini merupakan suatu penelitian awal yang dapat dijadikan rujukan atau bahan perbandingan untuk penelitian serupa dan atau penelitian lebih lanjut.
LAYANAN ONLINE BAGI OPERATOR PERGURUAN TINGGI SWASTA KOPERTIS WILAYAH VII DALAM RANGKA PENINGKATAN MANAJEMEN LAYANAN PTS DI JAWA TIMUR ANGKATAN VI TAHUN 2018
Authors: Suyono  , Iswati  , Ignatius Jimmy
Published: October 2022

Layanan Online bagi operator Perguruan Tinggi Swasta (PTS) Kopertis Wilayah VII Tahun 2018 Angkatan VI yang diselenggarakan pada tanggal 30 Januari 2018 di Core Hotel Bonnet Surabaya, Jl. Manyar Kertoarjo V  No. 62 Surabaya dengan sumber dana DIPA Kopertis Wilayah VII tahun anggaran 2018. Workshop Layanan Online bagi operator Perguruan Tinggi Swasta (PTS) Kopertis Wilayah VII Tahun 2018 Angkatan VI diikuti sebanyak 55 peserta dari 55 PTS. Workshop Layanan Online melatih para operator PTS untuk belajar tentang aplikasi sistem layanan online  dan Pusat Informasi dan Layanan Terpadu  yang disingkat PINTU yang digunakan oleh Kopertis Wilayah VII untuk melayani baik itu tentang informasi maupun administrasi khususnya pada PTS dan umumnya pada masyarakat luas. Metode Workshop Layanan Online adalah: Ceramah, tanya jawab, diskusi, praktek/simulasi penggunaan aplikasi sistem layanan online/SILADIKTI (Sistem Layanan Pendidikan Tinggi).  Harapan penyelenggara terhadap peserta setelah mengikuti Workshop Layanan Online ini adalah: Peserta dapat mengoperasikan sistem aplikasi SILADIKTI Kopertis Wilayah VII terkait dengan layanan online, Operasional Layanan Online, Layanan Prestasi Perguruan Tinggi dan Layanan Kepegawaian dan Kemahasiswaan.

 

Online Service Workshop for Private Higher Education (PTS) Kopertis Region VII 2018 Batch VI operators which was held on January 30, 2018 at Core Hotel Bonnet Surabaya, Jl. Manyar Kertoarjo V No. 62 Surabaya with the DIPA Kopertis Region VII funding source for the 2018 fiscal year. The Online Service Workshop for Private Higher Education (PTS) operators Kopertis Region VII 2018 Batch VI was attended by 55 participants from 55 PTS. The Online Service Workshop trains PTS operators to learn about the application of the online service system and the Integrated Information and Service Center, which is abbreviated as PINTU, which is used by Kopertis Region VII to serve both information and administration, especially at PTS and in general to the wider community. The Online Service Workshop Methods are: Lectures, questions and answers, discussions, practice/simulation of using the online service system application/SILADIKTI (Higher Education Service System). The organizer's expectations for participants after participating in this Online Service Workshop are: Participants can operate the SILADIKTI Kopertis Region VII application system related to online services, Online Service Operations, Higher Education Achievement Services and Personnel and Student Services.
Localized Game-Based Learning Activity Sheets in Mathematics 7
Authors: Suguitan Liwliwa , Natividad Eldefonso
Published: October 2022

To become a critical thinker and problem solver, learners need the mastery of the basic competencies. To ensure that meaningful learning occurs in a mathematics classroom, learning resources reflecting their context must be readily available. Unfortunately, there has been a dearth of localized materials for the Ilocano learners. Hence, this study developed Localized Game-Based Learning Activities (LGBLAs) in Mathematics 7 based on the teachers’ perceived level of mastery of the learners along with the Most Essential Learning Competencies (MELCs) in Number and Number Sense, Algebra, Geometry, and Statistics and Probability. Following the research and development (R and D) framework, data were gathered using a survey rating scale from the 66 Mathematics 7 teachers in the Schools Division of Ilocos Norte. Means with their equivalent descriptive interpretations were utilized to analyze and interpret the data. The results showed that learners exhibited nearly mastery in some of the learning competencies in Mathematics 7. This could mean that they have not sufficiently acquired the fundamental skills required to move to more advanced mathematical learning tasks. However, the key concepts and skills could be enriched by supplementing instruction with appropriate, contextualized, and relevant curriculum support materials. Hence, LGBLAs in Mathematics 7 was developed. The LGBLAs was found to be very highly valid and very highly acceptable as a curriculum support material for mathematics instruction as evaluated by the content experts and the key teachers in Mathematics 7. It is then recommended that LGBLAs be adopted for classroom use to improve the mastery level of learners in the different learning competencies along with Number and Number Sense, Algebra, Geometry, and Statistics and Probability.
COVID-19 E PREVENÇÃO AO ACIDENTE VASCULAR CEREBRAL
Authors: Malheiro Tavares Josete , Alcântara Alzira Frota , Andrade Ivna Silva , Lopes Neto Raimundo Ribeiro , Bezerra Vanessa Carvalho , Dantas Yngrid Lara Saldanha
Published: October 2022

Objetivou-se descrever as ações inovadoras da Atenção Primária à Saúde no enfretamento da pandemia SARS-CoV-2, com ênfase na prevenção do acidente vascular cerebral. Trata-se de um relato de experiência, exploratória documental, realizado no Município de Eusébio-CE, no ano de 2021. Tendo como destaque: abordagem de sintomáticos respiratórios com rastreamento familiar e outros contatos; descentralização da testagem RT-PCR; redução do tempo médio para o diagnóstico; monitoramento de sinais de alarme; internações hospitalares; investigação de óbitos, além da interação com outras cidades. Concluiu-se que a experiência foi exitosa, apresentando aspectos inovadores no fazer diário das equipes de Atenção Primária à Saúde, sendo factível de ser aplicada em outros locais, com baixo custo e uso de tecnologias leves do cuidado.
TELEORIENTAÇÃO NA PANDEMIA
Authors: da Silva Othelino Pedro , Duarte Maia Barakat Roberta
Published: October 2022

Descrever a experiência de teleorientação realizada por um psicólogo residente dentro de uma ação de enfrentamento da COVID-19, possibilitando melhor compreensão da afetação da pandemia no plano individual e manejo dessas complicações neste desafiador cenário. Relato de experiência, descritivo, realizado via Tecnologias da Informação (TIC) com o uso dos Primeiros Cuidados Psicológicos (PCP), executado de abril a julho de 2020, atendendo ao público com idade de 16 anos (com autorização dos responsáveis) a idosos de 65 anos. A atuação demonstrou ser potente na aproximação de usuários e profissionais da saúde mental, à medida em que facilitou o acesso ao serviço psicológico, configurando-se espaço de evasão aos entraves psicológicos acometidos ao público atendido. O relato da experiência de teleorientação contribuiu para refletir sobre a importância das intervenções virtuais em saúde mental nos tempos pandêmicos, visando sanar e/ou minimizar problemáticas advindas da emergência sanitária causada pela COVID-19.
A State of the Art Review of Isochoric Cryopreservation and Cryoprotectants
Authors: Beşchea George-Andrei , Câmpean Stefan-Ioan , Tăbăcaru Maria-Bianca , Vuţoiu Beatrice-Georgiana , Şerban Alexandru , Năstase Gabriel
Published: October 2022

There is a developing enthusiasm for discovering new methods, cryoprotectants, systems and devices for cells, tissues, and organ preservation in medicine, in sub-zero temperature conditions and a growing interest in developing more efficient and economical methods for long-term preservation of food in a frozen state. Most of the preservation protocols currently used in medicine and food preservation involve the use of atmospheric pressure, and temperatures lower than normal body temperature in medicine, or lower than room temperature in the food industry. In this state of the art review, we analyzed the results of a new preservation method that uses an isochoric system. We aimed to offer a clear overview of the potential of this new technology. Firstly, to study the origins of isochoric preservation, we searched using the WoS Database. A search with the world "isochoric" returned 488 results. A more specific search of the term "isochoric freezing" returned 94 results. From these searches, we selected the 12 most relevant articles and discuss them here in detail. We present an overall characterization and criticism of the current use and potential of this new preservation method that can be used in the medicine and food industry. The main findings indicate encouraging results for the tested biological matter, including for the preservation of food products (e.g.cherries, spinach, potatoes), biological organisms (e. g.Caenorhabditis elegans,Escherichia coli,Listeria,Salmonella typhimurium), organs (e.g. rat hearts), tissues (e. g., tilapiafish filets) or cells (e. g., mammalian cells, pancreatic cells). Accordingly, we conclude that the isochoric system holds huge potential as a new technique in the field of preservation.
Development trend analysis and prediction of photovoltaic building integration plate index
Authors: Zheng Linpeng , Cai Weipeng , Fu Qili
Published: October 2022

Photovoltaic building integration plate as one of the eye-catching emerging plate in the capital market this year, so the stock of related products has become the focus of current practitioners.In this paper, a moving average model of photovoltaic building integration plate index was established with N days as the calculation cycle, and the optimized model was used to draw the daily moving average, weekly moving average and monthly moving average of the next 20 days, 3 weeks and 2 months respectively.In order to measure the correlation between Shanghai Composite Index and photovoltaic building integrated plate index in recent two years, variance analysis method and Spearman correlation coefficient method are used to analyze the correlation, and it is found that the two have a positive correlation and strong correlation except for a few periods.
Wheat futures price prediction based on GA-VMD-CS-LSTM model
Authors: Li Ziqi , Zhang Zhiqi , Guo Xiran
Published: October 2022

Wheat is an important agricultural product. Its price discovery is of great significance to the transaction efficiency of the futures market and even the price fluctuation of the supply and demand relationship in the spot market. Due to the futures price fluctuation itself being a nonlinear relationship, in front of massive data, to achieve a better prediction effect, this paper uses the GA-VMD method to clean the data, and the CS-LSTM model to predict the futures price of wheat in Zhengzhou Commodity Institute. Comparing with the prediction results of SVR, BP and LSTM, it is found that CS-LSTM has lower prediction error and better prediction effect. This paper studies the changes in wheat futures prices and provides theoretical support for government to timely specify appropriate policies to adjust wheat output and prices and improve farmers' lives.
Research on marketing Strategy of Personal Financial Products of Northeast Securities
Authors: Shi Ruize
Published: October 2022

With the rapid development of domestic economy and the rise of national wealth, more and more people begin to attach importance to personal finance. Northeast securities as a listed company, and in the northeast has popularity, in today's rapid development of financial market, despite its modest success in other areas, Northeast Securities still has a series of problems in marketing wealth management products, such as the slow progress of product development, the pricing strategies are too basic, and there is no a complete propaganda, etc., to solve these problems, and combined with 4P marketing theory and literature research method, survey method and other research methods, the northeast securities company will adopt a series of effective measures, including speed product research progress, make different pricing strategies, enhance the promotion of relevant staff awareness training, develop a rich publicity channels, to ensure that the northeast securities can have more market competitiveness, and it can attract more high-quality customer, These measures can not only improve the market share of Northeast Securities financial products, but also develop a broader customer market through the financial sector.
Industry Asset Allocation Portfolio Analysis
Authors: Zhu Junyang
Published: October 2022

Since the beginning of the 21st century, there have been many excellent fund managers, but excellent asset portfolios are rare. Therefore, it is of great interests to implement in-depth investigations on this issue. In this paper, Markowitz model and Index model are selected to measure the returns and volatility of ten different excellent assets to get a better result. At the same time, according to the preferences of different customers, five different constraints are selected to meet the characteristics of more groups. Based on this, this paper optimizes the asset portfolio. This result shows that: First, when the Markowitz model and the Index model are combined with the capital market line and the efficient frontier, it is very effective to apply it to the risk asset portfolio. Second, Alaska Air Group and Hawaiian Holdings tend to be short under various constraints, while Wells Fargo is the opposite. It is of great significance to the research on the optimal allocation of financial assets in the industry.
Portfolio construction by using Markowitz Model and Index Model during pandemic of COVID-19
Authors: Liu Shuhan
Published: October 2022

During the epidemic, many industries have been hit to varying degrees, social productivity has sharply decreased, and economic development has stagnated or even regressed. It is estimated that global GDP declined by 4.3% in 2020 due to the impact of the pandemic. The same thing happened in the stock market, where the epidemic increased the vulnerability of it, causing stock prices to fluctuate greatly and investors to suffer losses. Recently a bunch of studies have focused on how to make successful investments by modeling and data analysis under the difficult circumstances. This paper will continue to use the MM model and the IM model to construct optimal portfolios under different constraints in order to simulate various situations and provide the investors with advice of all aspects.10 different companies in 3-4 staple fields will be randomly selected as target in this paper as the main factors of MM model and IM model in order to prove the wide compatibility of the two models in the real stock market.In addition, this paper will use both the minimum risk calculation method and the maximum efficiency calculation method as the criterion to measure a portfolio’s performance with the purpose of presenting the investors two different standpoints to view their portfolios.
Performance Evaluation of Listed Enterprises with Elderly Care Concepts Based on the Economic Value Added
Authors: Lu Songyuanyi
Published: October 2022

This paper uses economic value added (EVA) and traditional evaluation methods to calculate the performance evaluation of listed companies with pension concepts from 2016 to 2021. From the perspective of EVA and traditional financial indicators, it analyzes the changing trends of these companies. The results show that traditional ROE and net profit may overestimate the performance level of listed companies with the concept of pension in the short term. EVA is more cautious than traditional financial indicators and is consistent with the macroeconomic environment. Therefore, a reasonable combination of the two can better explain the financial performance of the listed companies with the concept of pension.
Research on prediction model of optimal trading strategy-Taking bitcoin and gold as an example
Authors: Zhao Yuze , Zhang Lanqing , Liu Siyang
Published: October 2022

In order to determine the best trading strategy between gold and bitcoin, this paper develops a prediction model. Firstly, the algorithm selects the optimal algorithm from SVM algorithm, logistic regression algorithm, KNN algorithm, random forest algorithm and decision tree algorithm. Secondly, sensitivity analysis is used to verify the feasibility and correctness of the model. Finally, the best trading strategy of gold and bitcoin is determined according to qualitative analysis and quantitative calculation.
Research on the Causal Relationship Between House Prices and Land Prices Based on Matlab
Authors: Yu Qian
Published: October 2022

House price is related to the national economy and the people's livelihood, and has an important impact on the development of the whole national economy. It is a problem that governments have been concerned about. How to analyze the influencing factors of house price has become the focus of current real estate economic research and concern. Under the above background, based on Matlab platform, this paper studies and analyzes the causal relationship between house price and land price, analyzes its influence relationship by using mathematical model and MATLAB, and finds out how land price factors affect house price.
Research on Market Transaction Based on Dynamic Programming Model
Authors: Lin Jiantao , Zhang Zhibing , Zeng Jie , Zhang Yuanbiao
Published: October 2022

Based on the principle of dynamic programming model, this paper studies the market transaction problem and establishes a transaction model to help decision-making. First, on the basis of the historical price data of gold and bitcoin, the data is processed by the wavelet transform method to ensure the accuracy of the model. Second, a time-series forecasting model and a back-propagation neural network are employed to predict the future prices of gold and bitcoin. And use a dynamic programming model to recursively determine the specific investment ratio of each asset in each transaction to achieve the best return. Finally, the effect of the model is verified by the evaluation index and transaction cost sensitivity test. The results show that transaction costs affect both strategy and outcomes. As transaction costs increase, both transaction frequency and total assets show a downward trend.
A novel trading strategy based on BiLSTM prediction model
Authors: Xu Sheng , Chen Yaxuan , Qiu Quanrun
Published: October 2022

In order to assist traders with scientiﬁc transaction strategy, this paper constructs a decision model including a prediction model and a trading model. Our predicting model is based on a BiLSTM (Bi-direction Long Short-Term Memory) neural network, and two linear layers trained by previous known data, which obtains a high accurate prediction of price. For the trading model, we construct it with several impact and quantitative artiﬁcial-selected-factors including market potential, deviation rate, risk score, etc. To use the model, we ﬁrstly uses previous known data to train the deep neural network and utilize it to make future predictions, the results of which is then imported into our trading model for decision making and better conﬁgure the portfolio.  Generally speaking, our whole decision system achieves eﬀective prediction of price, enables timely risk assessment, and makes scientiﬁc decisions by considering these factors together.
Stock Price Prediction Based on Spatio-Temporal Coupling with Deep Learning
Authors: Lai Heming , Yong Chuyi , Wang Qinxin
Published: October 2022

Stock price prediction is a nonlinear dynamic problem, and the stock price is susceptible to its autocorrelation and inertia effect, as well as other stock price fluctuation on the same plate. Traditional Autoregressive Integrated Moving Average Model (ARIMA) only builds a linear prediction model, but the neural network model has strong nonlinear modeling ability. In this paper, we propose a Convolutional neural networks with Long short-term memory (CNN-LSTM) method to predict stock price fluctuations. This is because the selective memory advanced deep learning function of LSTM is used to deeply mine the internal rules of time series information, and the convolution in CNN is used to integrate the original stock data to extract the relationship between features of different variables. Finally, the feasibility of the method and the model's applicability are analyzed by comparing with the results of other prediction models and a conclusion is drawn. The results show that, compared with the prediction model based on time series alone, the model has a significant accuracy advantage. In addition, the hybrid model can better help investors make decisions, expand returns, and avoid risks.
The Diversification of Portfolios under Different Conventional Scenarios in the Shock of COVID-19
Authors: Zhao Junting
Published: October 2022

Asset portfolio theory has traditionally been widely used in the financial field. Several studies have been made to demonstrate the superiority of this theory and many people have done many efforts to develop it. However, in the last two years, various industries have been hit by the COVID-19, and this paper is designed to investigate whether the asset portfolio still has a good risk diversification ability under different constraints in this context. In this paper, a portfolio is constructed using stocks of 10 companies from 5 industries and the SPX index, and the Markowitz Model and Index Model are used to calculate the returns and standard deviations of the portfolio under the four constraints. As a result, the limitation of short selling to stocks will increase the risk and reduce the profitability of the portfolio somehow but a well-diversified portfolio can reach the most requirements in the market, and the inclusion of the broad index into the portfolio has positive effect, which means a better diversification and higher profitability. Consequently, it can be concluded that the portfolio still has good risk diversification even under the shock of the COVID-19. This research could facilitate the study of portfolio theory under several different scenarios as well as contribute to investors’ better understanding of the risk diversification.
Impact of the Outbreak on U.S. Equity Portfolios Based on Markowitz and Index Models
Authors: Wang Yicheng
Published: October 2022

The epidemic occurred in 2019 made a great difference in the global financial markets. To explore the impact on stock market, this paper builds special portfolios under four specific constraints by using Markowitz and index model. This paper selected the stock prices of 11 stocks in different industries for 20 years and then focused on two vital indicators to analysis the change of risk and return. One is minimum variance, and the other is maximum sharp ratio. The results show that there was an increase in both minimal variance and maximum sharp ratio during this special period. Comparing with the data before, this paper argues that the outbreak has caused financial volatility and accelerated the shift in the consumer side of the equation. The fluctuation of stock price can give rise to significant speculative activity and the increase in speculative activity has led to an increase in risk and a simultaneous increase in return. This paper also found that the degree of restriction under four constraints is almost not change. The results from this paper facilitate the study of epidemic’s impact on other stock and help people to build a reasonable portfolio when investing.
Bigdata Analysis of the Validity of Capital Asset Pricing Model (CAPM) Under COVID-19
Authors: Jiang Chenxi , Li Xiang , Pan Jiahao , Qiao Yuao
Published: October 2022

In 2020, the Chinese stock market has undergone severe turmoil as the COVID-19 swept the world. On this basis, the traditional CAPM model might be unable to explain some of the phenomena in the capital market and there are few empirical studies have focused on exploring relationships between the epidemic and validity of CAPM model. With this in mind, this study aims to investigates the degree to which the COVID-19 impacted on the validity of the CAPM model in different industries. Specifically, this paper selects the monthly closing price data of stocks of 15 listed companies in cyclical and defensive industry in Chinese stock market from January 2018 to December 2021. Based on the least square method and big data techniques, we analyze sample data and construct a regression equation between market return and the daily return of individual stocks or portfolios. According to the analysis, the effectiveness of the CAPM model for enterprises in different industries varies greatly, and the combination of investment can effectively resist risks. These results shed light on quantitative assets pricing model implementation for special issues similar to COVID-19.
Gold and Bitcoin Prices Trend Forecast Based on Arima and Grey Prediction
Authors: Zhu Xiangye , Wang Zitong , Liu Hao , Wang Jing
Published: October 2022

This paper aims to study the investment strategy of gold and bitcoin markets and look for a better solution in the investment market to obtain more profits. We first analyze and forecast the gold and bitcoin markets by establishing several models, and find out the model that can best fit gold and bitcoin. Then, based on the optimal models, the most appropriate investment algorithm is proposed to help investors make decisions on every day's investment in order to reap the greatest rewards.
The Financial Statement Analysis of Hermès
Authors: Sun Sijie
Published: October 2022

This article analyzes the financial performance of Hermès and give an evaluation of the company stock price. Hermès is one of the largest luxury brand in the world, and it has just been through the COVID-19 period with the demand of expansion of their business. First, the paper gives an overview of Hermès’ annual report and demonstrate common-size analysis and ratio analysis on three financial data. Then, Hermès’ share price will be evaluated by using multiples valuation method (MVM). Diversified valuation can not only increase the reliability of the results, but also provide more dimensions for subsequent stock price analysis. Therefore, the three valuation methods selected in this paper are PE method, PS method and EV / EBITDA method and the price of Hermès equity is overvalued can help to reveal the company’s market value and reduce the blindness investment behavior. The reason is that after the outbreak, the United States and other developed countries tried to relax monetary policy and promulgated various fiscal stimulus bills, resulting in the increase of foam.
Research on quantitative trading strategy based on prediction and dynamic programming model
Authors: Luo Xinyi , Qi Huijun , Zhang Yuxuan
Published: October 2022

Today, the digital currency market represented by bitcoin has become an important part of the capital market. As the COVID-19 pandemic has increased volatility in capital markets in the past two years, effective trend forecasting and risk-averse investment strategies can bring substantial profits to companies and individuals and reduce the possibility of financial risks. To achieve the above objectives, we established the following models: (1)price prediction models of gold and bitcoin; (2)trading market risk judgment model; (3)revenue valuation model based on dynamic programming. This paper uses ARIMA and LSTM neural network to establish the prediction model. After checking the historical data, the best parameter fitting values of ARIMA model were obtained by using the exhaustive method according to BIC criterion, which were ARIMA (4,1,3) (gold) and ARIMA (2,1,2) (bitcoin) respectively. Then LSTM recurrent neural network is used to modify the forecast results, and the price forecast graph with high fitting degree with the real data is obtained. Then, this paper combines the technical indicators commonly used in the financial market to form a market risk judgment model. On the basis of the eight laws of buying and selling, the weight index is introduced to put forward the bull and bear market judgment rules of gold and bitcoin trading, and the tendency distribution map of the market environment in the past five years is obtained. At the same time, the buying risk coefficient is quantified by combining the maximum retraction rate. On the basis of the first two sub-models, this paper establishes a revenue valuation model based on the idea of dynamic programming. By setting the policy trigger threshold to control the risk, the problem that local optimal solution may appear in the model is improved.
An empirical study of down-and-out put option pricing based on Geometric Brownian Motion and Monte Carlo Simulation: evidence from crude oil and E-mini Nasdaq-100 futures
Authors: Wang Meini , Wang Panjie , Zhang Yuyi
Published: October 2022

Option, an instrument of significant financial values in the modern market, is of growing importance. In the case of pricing the option, pricing exotic option remains the problem, since none of the practical methods have been developed as a corresponding way of solution. In order to address the existing issue, this paper examines the feasibility of down-and-out put option pricing based on Geometric Brownian Motion and Monte-Carlo Simulation. Specifically, the stock prices will be calculated through the Geometric Brownian Motion certain while the underlying asset price and down-and-out put option price will be obtained by Monte-Carlo simulations. Two typical underlying assets are selected as the investigation target to validate the pricing feasibility: Crude Oil Futures and E-mini Nasdaq-100 futures. According to the analysis, the barrier option price is lower than a European option, and the barrier option is always cheaper than a European option with the same parameters. These results shed light on the seeking of a method in pricing exotic options.
The Impact of COVID-19 on Consumer Durable Industry Based on Fama-French Five-Factor Model
Authors: Hu Zhihan
Published: October 2022

As COVID-19 has negatively impacted the economy in the U.S., this study applies the Fama-French five-factor model to examine the performance of the consumer durable industry before and during the outbreak of COVID-19 using the dataset from Kenneth R. French Data Library. The dataset has been divided into two time periods before and during the COVID-19 outbreak, from February 01, 2019 to March 01, 2020 and from March 1, 2020, and March 1, 2021. By using multiple linear regression, it is significant that the consumer durable industry is affected to great extent. The result shows that the market factor remained significant during two periods, but the HML and RMW factors become insignificant after the outbreak of COVID-19. The significance of SMB factor suggests that investors preferred companies with small market value. The value of interception represents the items that these variables can’t explain. Before the epidemic, the interception is insignificant. However, the interception became significant after the epidemic, indicating that the calculation of expected excess return is affected by some unexpected factors. Overall, these changes also inform investors' stock decisions on the consumer durables sector during the outbreak of COVID-19.)
Economic Policy Uncertainty and Stock Price Crash Risk: Based on panel data models
Authors: Du Boqiao , Li Jiaxin , Zhang Hankun
Published: October 2022

We examine the relationship between economic policy uncertainty (EPU) and stock price crash risk based on the stock data of China A-share market from 2007-2019. Correlation analysis, univariate and multivariate test, robustness test and heterogeneity test are used to analyze the data. According to the results, economic policy uncertainty is negatively correlated with stock price crash risk. This correlation is valid since it passes the robustness test of replacing the main independent and the dependent variables. Further analysis reveals that this negative relationship is more obvious in certain situations. Specifically, it includes four cases: (1) the enterprise is not a state-owned enterprise; (2) the Big Four audit is not selected; (3) the proportion of institutional investors is low, and (4) the analyst coverage rate is low. These results shed light for an important influencing factor of stock price collapse and provides a reference value for the prevention and response of stock price collapse.