bluuebunny/crossref_metadata_2025 huggingface dataset:
“ADVERTISING TRANSFORMED: THE NEW RULES FOR THE DIGITAL AGE” KİTABI ÜZERİNE BİR İNCELEME
Authors: ADALI Gülten
Published: December 2023

Marka uzmanı Van Dyck, sektörde başarılı olmak için en iyi uygulama kılavuzunu oluşturmak amacıyla reklamcılık hakkındaki en son düşünceleri sindirilebilir bir kurallar listesi halinde sentezlediği kitabında 21. yüzyılda reklamcılık için önemli bir rehber sunuyor. Dijital teknolojinin dönüştürdüğü reklam dünyasında, mevcut ve aday reklamcıların başarılı / işe yarayan reklamlar yaratmak için bilmesi gerekenleri ortaya koyuyor. Günümüzde reklam profesyonellerini etkileyen bazı temel konuları ele alan kitap, özellikle reklamverenlerin giderek güçlenen tüketicilerle küresel ve yerel ölçekte çoklu kanallarda nasıl etkileşim kurabileceklerine odaklanıyor. Önemli global markaların Effie ödüllü kampanyalarının örnek olay incelemeleriyle desteklenen kitapta, okuyuculara modern reklamcılığın değişen gereksinimlerini karşılamaları ve sürekli değerini kanıtlayan heyecan verici kampanyalar tasarlamaları için içgörü ve uzmanlık sağlıyor. “Bu çağda etkili reklam nasıl yapılır?” sorusunun peşine düşen yazar reklamın pazarlama iletişimindeki yeni yerine açıklık getirirken okuyucularına da farklı bir perspektif sunuyor. Reklamcılığın dijital çağda var olma savaşına ve yeni tüketiciye ulaşabilmek için geçirdiği dönüşüme güncel örneklerle değinilen kitapta “20. yüzyıl reklamcılığı öldü, 21. yüzyıl reklamcılığının ise hayatına devam edebilmesi için kendisini yeniden yaratması gerekmekte” mottosu ile dijital çağın kuralları yeniden yazılıyor.
PENGARUH KEDISIPLINAN DAN KONSENTRASI BELAJAR TERHADAP HASIL BELAJAR SISWA DI SMK NEGERI 5 MANADO
Authors: Horman Geril , Dame Joubert , Tulung Feine
Published: December 2023

ABSTRAK

Penelitian ini bertujuan untuk melihat apakah ada pengaruh kedisiplinan dan konsentrasi belajar terhadap hasil belajar siswa di SMK Negeri 5 Manado. Metode penelitian ini menggunakan metode Survey dengan sampel siswa 86. Teknik yang digunakan dalam pengumpulan data adalah teknik kuesioner (angket), observasi dan dokumentasi. Hasil penelitian dianalisis dengan metode analisis regresi linear ganda, dan analisis korelasi sederhana dan analisis korelasi ganda. Adapun hasil dari penelitian ini menunjukan (1) Terdapat pengaruh Kedisiplinan (X1) terhadap Hasil belajar siswa (Y) pada siswa kelas X dan XI mata pelajaran Akuntansi di SMK Negeri 5 Manado. X1 terhadap Y adalah sebesar 0,022 < 0,05. Dan nilai t hitung 2.338 < 1,999 t tabel. Terdapat pengaruh Konsentrasi Belajar (X2) terhadap Hasil Belajar siswa (Y) pada siswa kelas X dan XI mata pelajaran Akuntansi di SMK Negeri 5 Manado. X1 terhadap Y adalah sebesar 0,000< 0,05. Terdapat Pengaruh Kedisiplinan (X1) dan Konsentrasi Belajar Siswa (X2) terhadap Hasil Belajar Siswa (Y) pada siswa kelas X dan XI mata pelajaran Akuntansi di SMK Negeri 5 Manado X1 dan X2 terhadap Y adalah sebesar 0,000< 0,05. Dan nilai t hitung 3.756 < 1,999 t tabel.

Kata kunci: kedisiplinan,konsentrasi belajar, hasil belajar

ABSTRACT

This study aims to see whether there is an effect of discipline and learning concentration on student learning outcomes at SMK Negeri 5 Manado. This research method uses a survey method with a sample of 86 students. The technique used in data collection is a questionnaire technique (questionnaire), observation and documentation. The results of the study were analyzed using multiple linear regression analysis methods, and simple correlation analysis and multiple correlation analysis. The results of this study show (1) there is an influence of discipline (X1) on student learning outcomes (Y) in class X and XI students in accounting subject at SMK Negeri 5 Manado. X1 to Y is 0.022 <0.05. And the value of t count is 2.338 <1.999 t table. There is an effect of learning concentration (X2) on student learning outcomes (Y) in class X and XI students in Accounting subject at SMK Negeri 5 Manado. X1 to Y is 0.000 < 0.05. There is an influence of Discipline (X1) and Student Learning Concentration (X2) on Student Learning Outcomes (Y) in class X and XI students of Accounting subject at SMK Negeri 5 Manado X1 and X2 on Y is 0.000 < 0.05. And the value of t count is 3.756 <1.999 t table.

Keywords: discipline, study concentration, learning outcomes
PENGARUH PENGETAHUAN KEWIRAUSAHAAN DAN LINGKUNGAN KELUARGA TERHADAP MINAT BERWIRAUSAHA PADA GENERASI MUDA DI KECAMATAN TONDANO SELATAN KABUPATEN MINAHASA
Authors: Tuwondila Christy Sofia , Wuisang Jerry , Kandori Iwan
Published: December 2023

Penelitian ini bertujuan untuk mengetahui pengaruh secara parsial dan simultan variabel pengetahuan kewirausahaan dan lingkungan keluarga terhadap minat berwirausha pada generasi muda. Penelitian ini merupakan penelitian survei. Penelitian ini dilaksanakan di Kecamatan Tondano Selatan Kabupaten Minahasa. Sampel pada penelitian ini sebanyak 60 responden yang merupakan generasi muda di Kecamatan Tondano Selatan. Teknik pengumpulan.data menggunakan penyebaran angket berupa kuesioner. Teknik analisis data yang digunakan adalah analisis sregresi linear berganda. Hasil.penelitian menunjukan bahwa pengetahuan kewirausahaan.secara parsial berpengaruh terhadap minat berwirausaha, lingkungan keluarga secara parsial berpengaruh terhadap minat berwirausaha, pengetahuan.kewirausahaan dan lingkungan keluarga secara simultan berpengaruh terhadap minat berwirausaaKata kunci: Pengetahuan Kewirausahaan dan Lingkungan Keluarga , Minat Berwirausaha
PENGARUH LITERASI KEWIRAUSAHAAN DAN MOTIVASI KERJA TERHADAP PENDAPATAN PETANI GULA AREN DI DESA TAMBELANG KECAMATAN TOULUAAN SELATAN KABUPATEN MINAHASA TENGGARA
Authors: Sumolang Juwita , Manongko Allen , Tiwow Gilly
Published: December 2023

ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh secara persial dan simulutan variabel Literasi kewirausahaan dan Motivasi kerja terhadap pendapatan petani gula aren. Penelitian ini merupakan penelitian survey. Penelitian ini dilaksanakan di Desa Tambelang Kecamatan Touluaan selatan Kabupaten Minahasa Tenggara. Sampel pada penelitian ini sebanyak 75 responden yang merupakan petani gula aren desa Tambelang. Teknik pengumpilan data menggunakan penyebaran angket berupa kuesioner. Teknik analisis data yang digunakan adalah Analisis Regresi Linear berganda. Hasil penelitian menunjukan bahwa Literasi Kewirausahaan secara parsial berpengaruh terhadap Pendapatan petani gula aren, Motivasi kerja secara parsial berpengaruh terhadapap Pendapatan petani gula aren, Literasi Kewirausahaan dan Motivasi kerja secara simultan berpengaruh terhadap Pendapatan petani gula aren.Kata kunci : Literasi Kewirausahaam, Motivasi Kerja, Pendapatan petani

ABSTRACTThis study aims to determine the partial and simultaneous effect of the entrepreneurial literacy and work motivation variables on the income of palm sugar farmers. This research is a survey research. This research was conducted in Tambelang Village, South Touluaan District, Southeast Minahasa Regency. The sample in this study were 75 respondents who were palm sugar farmers in Tambelang village. The data collection technique uses a questionnaire in the form of a questionnaire. The data analysis technique used is multiple linear regression analysis. The results showed that Entrepreneurial Literacy partially affects the income of palm sugar farmers, work motivation partially affects the income of palm sugar farmers, Entrepreneurial Literacy and work motivation simultaneously affect the income of palm sugar farmers.Keywords : Entrepreneurial Literacy, Work Motivation, Farmer's Income
PENGARUH KESIAPAN BELAJAR DAN PENGULANGAN MATERI PEMBELAJARAN TERHADAP HASIL BELAJAR SISWA DI SMA N 2 TONDANO
Authors: Marthin.docx Fanderley Marthin , Sumual Shelty D. , Dame Joubert
Published: December 2023

ABSTRAK

Penelitian ini di buat untuk membuktikan apakah ada pengaruh yang signifikan antara kesiapan belajar dan pengulangan materi pelajaran secara simultan dan parsial terhadap hasil belajar mata pelajaran ekonomi siswa kelas Xl IPS  SMA Negeri 2 Tondano. Metode penelitian yang digunakan adalah metode survey. Teknik pengumpulan data menggunakan kuesioner dan dokumentasi. Teknik analisis data yang digunakan adalah uji regresi linier sederhana dan berganda dengan bantuan SPSS. Hasil penelitian yang diperoleh membuktikan bahwa t hitung yang diperoleh 8,856 > t tabel 2,002 artinya 8,856 > 2,002 dan besarnya nilai signifikansi variabel bebas (kesiapan belajar dan pengulangan materi pelajaran) pada uji t adalah 0,001 atau < 0,05. Kesiapan belajar dan pengulangan materi pelajaran adalah prinsip belajar yang dapat mempengaruhi hasil belajar siswa. Dengan kesiapan belajar yang baik dan diikuti dengan materi yang berulang setiap harinya akan menghasilkan hasil belajar yang baik. Sehingga semakin baik kesiapan belajar dan semakin sering siswa mengulang materi siswa pelajaran, maka semakin tinggi capaian pembelajaran yang dicapai..

Kata kunci: Hasil Belajar Mata Pelajaran Ekonomi, Kesiapan Belajar, Pengulangan Materi Pembelajaran

 

ABSTRACT.

This research was conducted to prove whether there is a significant influence between learning readiness and simultaneous and partial repetition of lesson material on the learning outcomes of economics subjects in class Xl IPS students at SMA Negeri 2 Tondano. The research method used is the survey method. Data collection techniques use questionnaires and documentation. The data analysis technique used is simple and multiple linear regression tests with the help of SPSS. The research results obtained prove that the t count obtained is 8.856 > t table 2.002, meaning 8.856 > 2.002 and the significance value of the independent variables (readiness to learn and repetition of lesson material) in the t test is 0.001 or < 0.05. Readiness to learn and repetition of lesson material are learning principles that can influence student learning outcomes. Having good study readiness and following it up with repeated material every day will produce good learning results. So the better the readiness to learn and the more often students repeat lesson material, the higher the learning outcomes achieved

Keywords: Economics Subject Learning Outcomes, Learning Readiness, Repetition of Learning Material
BALKAN TÜRK ÇOCUK ŞİİRİNDE MİLLÎ BİLİNÇ
Authors: ŞENER Ayşe
Published: December 2023

Rumeli veya Balkan coğrafyası, Türk kültür tarihinin ve edebiyatının ayrılmaz bir parçasıdır. Yaşanan tarihî süreçler bu coğrafyada edebiyatın varlığına engel teşkil etmemiş, bilakis söz konusu bölgeden pek çok önemli şair ve yazar yetişmiştir. Balkan edebiyatlarının temel eğilimi bölgede yaşanan işgal, savaş ve zorunlu göçler; bağımsızlık öncesi ve sonrası rejim olmak üzere çeşitli siyasi değişimlerle şekillenmiştir. Yaşanan bu değişimlerin Balkan Türklerinin zihin dünyasındaki yansımaları edebiyata aksetmiştir. Nitekim söz konusu coğrafyada yaşayan Türkler, siyasi ayrılıklara rağmen kökleri ile bağlarını koparmadan yaşamlarını sürdürmüşlerdir. Dolayısıyla bu ortaklık ve kültürel devamlılık edebî ürünlerde de kendini göstermektedir. Bu bağlamda Türk kültürünün ortak ögelerinden olan çocuk edebiyatı önemli bir örnek teşkil eder. Küçük yaştan itibaren çocuklarda millî bilincin ve kimlik farkındalığının oluşturulmasında aile ve eğitimin yanı sıra edebiyatın da bir payı bulunmaktadır. Bu çalışma, bölgede yaşanan politik, ekonomik, dinî ve kültürel tahakküme karşı kimliği koruma biçimi olarak Balkan Türk çocuk şiirinde yer alan millî bilinç ögelerini irdelemektedir. Çalışmada söz konusu şiirlerden örneklem dâhilinde bir inceleme yapılmıştır. Neticede, Balkan Türk çocuk edebiyatında millî bilinci oluşturmak ve korumak amacıyla ana dil, vatan sevgisi, yurt bilinci ve kültürel süreklilik mekânı olarak dinî günler ve millî bayramlar gibi çeşitli temalarla şiirler ortaya konduğu belirlenmiştir.
Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh
Authors: Hasan Sayeed , Hazari Md. Rifat , Jahan Effat , Mannan Mohammad Abdul
Published: December 2023

The article focuses on sizing and designing microgrids with pvlib-python and the Python programming language. Pvlib-python is a free and open-source program for simulating solar photovoltaic (PV) systems. For the design, an existing case study of an agricultural microgrid comprised of  PV arrays, batteries, and a biogas-based generator in an off-grid configuration was explored. The solar resources and PV system were modeled using pvlib-python, while the rest of the microgrid was built and simulated using a custom dispatch algorithm written in Python. The study also discussed an in-depth strategy for modeling PV utilizing various data sources using the included modules and functions. A similarly specified microgrid was also modeled in Homer Pro software and the results from the designed microgrid in Python were compared. The hourly distribution of data for both tools exhibits a noticeable deviation. The daily and annual distribution of most of the parameters, on the other hand, produce comparable results.
Hubungan Pola Makanan Dan Tingkat Pengetahuan Ibu Terhadap Diare Pada Balita
Authors: Ningsih Nisa Kartika , Apriani Indria , Mariana Silvia , Riya Rosa
Published: December 2023

In Indonesia, the infant mortality rate caused by diarrhea reaches 1.5 million per year. The greatest incidence occurs in the first 2 years of life and decreases as the child grows. The purpose of this study was to find out the relationship between food patterns and mother's level of knowledge about diarrhea in toddlers. This study used a random sampling design with a population of 39 samples. The research design in this study was by filling out a questionnaire. The sampling technique is 39 mothers who have toddlers. Data analysis used the chi-square test. The results of this study were obtained from the results of data analysis using chi-square indicating that there are factors for diarrhea. p-value 0.011 (<0.05) which means that there is a relationship between mother's knowledge and diarrhea in toddlers, p-value 0.044 (<0.05) which means that there is a relationship between diet and diarrhea in toddlers
Effects of Ketogenic Diet on Glucolipid Metabolism
Authors: Wang Yuxiao
Published: December 2023

As a famous dietary pattern, the ketogenic diet was initially used to treat severe epilepsy. Today, the ketogenic diet is becoming the mainstream as a low-carbohydrate diet for weight loss. However, the impact of the ketogenic diet on glucolipid metabolism is still unclear. Thus, this study investigated the effects of the ketogenic diet on glucolipid metabolism, including obesity, and Type 2 diabetes. Results indicate that the ketogenic diet significantly improves glucolipid metabolism in people with Type 2 diabetes and it can significantly reduce their BMI and waist circumference and take on a specific role in insulin secretion, and reduce the risk of developing diabetes and related complications. However, the above experiments have shortcomings such as small experimental scope and short experimental time. Because long-term consumption of high-fat foods can also easily affect diseases such as blood lipids, this study provides information on the effects of a ketogenic diet on individuals who suffer from issues with glycolipid metabolism, particularly how it affects diabetes and obesity.
High-sugar diet affects immunity and metabolism by affecting gut microbiota
Authors: Tang Jiahao
Published: December 2023

Due to the rise of global material levels and people's lack of awareness of scientific diets, high-sugar diets are gradually becoming one of the largest diet types in modern humans; some researchers believe that this diet will have negative impact on people’s intestinal flora. The number of bacteria in the human body is known to be extremely large, and the intestinal flora is one of the main components. Their number roughly between 10 and 100 times as many as cells of humans. Owing to several studies, an imbalance in gut microbiota is linked to a variety of information that will support disorders. The present investigation examines the appropriate information on obesity, diabetes, and other disorders, and discusses the potential linkages among these diseases and a high-sugar diet and intestinal flora, in order to figure out if a high-sugar diet might have an unhealthy effect on human immunity and metabolism through gut microbiota. A high-sugar diet can cause excessive proliferation of intestinal Firmicutes and Proteus, disrupting intestinal flora balance, and the root causes of diabetes, weight gain, inflammation of the intestines, and non-alcoholic hepatitis, as well as the corresponding therapeutic mechanisms, are all associated to the excessive growth of certain species of bacteria in the intestines, which also means gut microbiota imbalance.
Overview of research progress on new processing technologies for aquatic products
Authors: Jiang Xiyu
Published: December 2023

China is rich in aquatic resources and the aquatic processing industry is developing rapidly, and the market potential of products produced using various aquatic raw materials is huge. The socio-economic development and the improvement of people's consumption level have put forward higher requirements for aquatic products, which further promote the technological innovation of related processing. The article classifies aquatic products into six categories: fish, shellfish, algae, crustaceans, echinoderms and cephalopods, and introduces the technological innovations and applications in freezing and preservation, sterilization, and by-product utilization in recent years, respectively, to provide reference for the continued development of aquatic products processing industry in the future.
Study on Fermentation Technology and Flavor Substances of Strong Ale Beer
Authors: Liang Qianxu , Wang Jiaying , Wang Chaonan , Tan Zhaoshun , Xu Xiaoyue , Chai Jiahui , Wang Yanqiu , Yu Yue , Dong Xiaolei , Song Yang , Hao Lujiang , Jiang Ying
Published: December 2023

In this study, we selected three kinds of strong ale beer yeast, which were SafAle HA-18, Lallemand Saison and SafAle BE-134, for comparative brewing experiments. The comprehensive sensory evaluations were made by testing the physical and chemical indicators, flavor substances and antioxidant capacities, according to which a yeast suitable for the brewing of ale beer with high alcohol content was selected. We showed that there were some differences between the three kinds of yeast on fermentation performance. HA-18 performed the best on sugar lowering speed, yeast sedimentation, tolerance to alcohol and production of alcohol. Saison was outstanding on reproductive capacity and reduction speed of diacetyl. Although the fermentation speed was relatively close to HA-18, the sedimentation of Saison was poor. BE-134 had better yeast sedimentation, but the overall fermentation performance was average and the sensory quality of the finished beer was poor.
The suggestions and directions for future research on excipients-- A summary and review of a paper
Authors: Wu Yizhou
Published: December 2023

Excipients, traditionally considered "inert ingredients" in drugs, often constitute the majority of the mass and play a vital role in pharmaceutical formulations, enabling effective drug delivery and product stability. The research and development process for excipients involves a multidisciplinary approach, encompassing various scientific disciplines and regulatory compliance. However, challenges related to safety assessment, limited understanding of excipient-drug and excipient-biological target interactions, and the absence of standardized characterization methods pose ongoing hurdles in excipient R&D. This paper as a summary and review of the latest research in the field of excipients, opens up a new avenue for researchers to overcome the current challenges. It highlights the growing understanding of potential biological activities of excipients and their clinical importance. The significances and limitations; pros and cons of the technique; future applications and attention regarding the research will be further discussed in this paper. By shedding light on the excipient research and development, this paper provides insights into optimizing drug formulations, enhancing patient safety, and improving therapeutic outcomes.
Ecological Research of Saihanba Based on Pearson Correlation Coeﬃcient Fuzzy Comprehensive Model
Authors: Zhao ZhangMing , Zhao ZhangKai , Zhang Zhanguo
Published: December 2023

This article mainly studies Saihanba's ecological model's advantages and characteristics and extends it to the whole country. Firstly, this article constructs a comprehensive evaluation model of fuzzy mathematics and evaluates that the impact on the environment before and after the restoration of Saihanba is very obvious. Secondly, the Pearson correlation coeﬃcient model is established to obtain the correlation coeﬃcient matrix between 10 indicators. Finally, the hypothesis test results deeply analyze the weak correlation between Saihanba and Beijing's ability to resist sandstorms. Then, perform the TOPSIS score evaluation of each province to complete the preliminary screening. The pixel overlay is used to analyze the domestic reasonable ecological area site selection for secondary screening. Finally, establishing an ecological protection area location model based on the immune algorithm determines that 9 regional ecological areas can be built, accounting for about 24.3% of the country's land area. It can absorb approximately 388.608*105KG of carbon dioxide and release 291.456*105KG of oxygen
Multi-Level Modelling of Global Warming Based on Machine Learning Algorithms
Authors: Cai Xianfei , Liu Lijia , Wang Zheng
Published: December 2023

Today, abnormally high temperatures around the world are a wake-up call for global warming. Global warming is a problem that needs to be addressed urgently. In order to assess past temperature changes, this paper constructs indicators of data growth rates over a certain period of time. Firstly, this paper analyses the changes in growth rates after 1800. In addition, this study uses the Mann-Kendall method to determine the trend of the growth rate, and the ridge regression model, ARIMA model, and LSTM model are constructed to predict the future temperature change, respectively. The results show that the LSTM model is the most reliable, whereas the ARIMA model is only suitable for short-term forecasts due to the lack of a follow-up dataset and is less effective in predicting global temperatures below 20°C. The results of the ARIMA model are summarised as follows, with polynomial fitting results being affected by the extremes of the data, and performing the worst. The results show that the temperature will reach 20°C around 2310 and within 2398~2439 according to the ridge regression model and LSTM model, respectively.
Global Temperature Prediction Study Based On AMIMA, Grey Prediction and Neural Network Models
Authors: Lv Junyi , Xie Yuan , Wang Chenyu
Published: December 2023

Global warming has profoundly affected the survival and development of human beings and has become a worldwide problem, and the mitigation of global warming requires a more accurate prediction of global temperature development. In order to accurately predict global temperatures in future years and provide feasible solutions, this paper comprehensively compares the prediction results of three prediction models. Firstly, a time series model is chosen to map the past time series to describe the global temperature changes. In addition, this paper selects three models for analysis by comparing a time series ARIMA model, a grey prediction model and a neural network model, fits the model using data information on the global average temperature for 200 consecutive years, and trains and corrects the model to obtain the projected global temperature for the next 80 years. Considering the advantages and disadvantages of each model and combining the conclusions of previous studies, this paper concludes that the neural network model predicts the most accurate results. Meanwhile, the results indicate that in the future, if the continuous increase in global temperature is not controlled, global warming will continue to cause irreversible damage to the Earth's ecosystem, which in turn will have a negative impact on human health.
A Comparative Analysis of Rural Domestic Wastewater Discharge Standards in the Yangtze River Delta Region, China
Authors: Xu Yanjun
Published: December 2023

With the deepening of comprehensive improvement of rural living environments in China, various regions have issued rural domestic wastewater discharge standards based on their economic foundations, management levels, and characteristics of rural wastewater discharge. The Yangtze River Delta region, in particular, has been at the forefront of exploring these standards nationwide. By analyzing the local standards for rural domestic wastewater discharge in Shanghai, Jiangsu, Zhejiang, and Anhui provinces within the Yangtze River Delta region, along with the "Discharge standard of pollutants for municipal wastewater treatment plant" and the "Standard for irrigation water quality", it was found that the standards in each region primarily consider the classification based on the water environmental grade of the receiving water body. The pollutant concentration control requirements are generally consistent with the pollutant concentration limits for urban wastewater treatment plant discharge, but the total nitrogen and total phosphorus limits are more lenient than those for urban wastewater treatment plants. This paper can guide the transformation of rural domestic wastewater discharge from high standards to resource utilization, and provide references for the selection of wastewater treatment technologies, models, and governance strategies in the Yangtze River Delta region.
Study On the Application of Nitro-Compound Fertilizer to Improve Saline-Alkali Soil
Authors: Shi Guodong , Yang Jiali
Published: December 2023

The deterioration of soil quality in saline-alkali land has always been a major problem restricting the development of agriculture in China. Therefore, this study studied the application effect of nitro-compound fertilizer through experiments, aiming to explore the application prospect and popularization value of nitro-compound fertilizer in saline-alkali land agriculture. The experimental results showed that nitro-compound fertilizer could significantly improve the soil quality and increase the yield and growth of crops in saline-alkali soil. The addition amount of 2.5-10 kg/ mu is more suitable, and the addition of 10 kg/ mu of nitro-compound fertilizer can increase the yield of corn by 217%. In addition, the addition of nitro-compound fertilizer can not only significantly reduce the soil salt content, the reduction can reach 37.5%, but also significantly improve the soil alkalinity. pH value decreased from the original 9.4 to 7.12, a decrease of 2.28. This showed that the application of nitro-compound fertilizer had a remarkable improvement effect in regulating soil alkalinity. Therefore, the application of nitro-compound fertilizer has wide application prospect and popularization value in saline-alkali land agriculture.
Study on Impact of Mineral Resources Development in Africa
Authors: Du Yueyang
Published: December 2023

One of the continents with the greatest mineral wealth is Africa. The economies, militaries, and fields of science in African nations and around the world have all benefited greatly from these natural resources. As a result, the mining sector is one of the most significant ones in Africa, and it has a wide range of influences. This review will examine the growth of the mining business in Africa and its effects on the continent, explaining how the development of the mining industry has affected the continent's economy, vegetation, water supplies, and human health. Human disorders like pneumoconiosis can be brought on by the dust and toxic materials created during the mining operation. The mining industry has a significant impact on water resources. Heavy metal components pollute water supplies, causing damage to flora along a chain of events. This review also examines the effects of mining on vegetation covering in the section on how it affects vegetation using the Normalized Difference Vegetation Index (NDVI). In terms of the economy, the mining sector is essential. The development of mineral resources is the primary source of income for the majority of African nations. In some ways, the mining sector has aided in the economic growth of African nations. The purpose of this essay is to investigate how resource extraction affects the ecosystem. Environmental governance is still in the developing phase on a global scale. It exhorts people to consider and save the environment. In order to promote sustainable development, the society should implement the relevant governance measures.
Hazards of Marine Pollution to Marine Organisms and Measures to Mitigate the Hazards
Authors: Pan Yanru
Published: December 2023

Marine pollution is a pressing global issue that has garnered increasing attention in recent years due to its detrimental effects on marine ecosystems and the urgent need for mitigation measures. This paper aims to provide a comprehensive analysis of the sources of marine pollution, the harmful effects on marine life, and potential solutions to address this critical problem. This article emphasizes the need for immediate action to combat marine pollution. While previous studies have examined specific types of pollutants, this paper takes a comprehensive approach, considering multiple sources of pollution and their diverse impacts on marine organisms. By analyzing the sources and effects of pollution, this paper aims to raise awareness and provide effective solutions to mitigate the ongoing damage. The research conducted in this paper serves as a valuable resource for policymakers, environmental organizations, and individuals concerned about the health of our oceans. By understanding the sources and impacts of marine pollution, stakeholders can implement targeted measures to mitigate pollution and promote sustainable practices. The findings of this study contribute to the growing body of knowledge on marine pollution, providing insights and recommendations for future research and policy development. Ultimately, the significance of this research lies in its potential to drive positive change and inspire collective efforts to protect marine life and preserve the invaluable resources provided by our oceans.
Impress of Climate Change in the Himalaya on Plant Evolution
Authors: Peng Xiaodi
Published: December 2023

Currently, species diversity has become a hotpot to biologist. Some researchers find mountains contribute disproportionately to Earth's terrestrial biodiversity, especially in the tropics, where there are unusually rich and confusing hot spots. But current assumptions about large-scale geographic patterns of species diversity cannot explain the extremely high biodiversity in mountain regions, especially in the tropics, where is characterized by a complex spatial configuration of terrain and climate. This paper focuses on three prominent and brief factors which impact species differentiation most in Himalaya to illuminate some researches up to now, include geographical, climatic, and biological. Geographic affect plant diversity by bring alien species, and format monsoon and plateau environment through uplift. Monsoon can advance the formation of landform also. Further, the period climate change can induce variation of endemic species, and the pollinator can impact variation by reproduction, thus the mismatch between pollinator and plants recently may lead the decline of certain species. Besides these, nowadays palynology evidence has become a credible two-way entry point to research plant evolution and climate change in the past era by authenticating how subspecies formatted. What’s more, because the vagaries of climate have prompted the breeding of endemic species, the rising temperature currently may alter the vegetation in alpine area.
Research Progress of Biochar in Energy Storage
Authors: Chang Yinuo , Yang Xingke
Published: December 2023

In recent years, the introduction of carbon peaking and carbon neutral policies has placed new demands on clean energy utilization and energy storage devices. The limited reserves of traditional fossil energy sources and the environmental impact of their use have forced mankind to utilize renewable alternative energy sources such as hydro, tidal, biomass. And how biochar is used in the realm of energy storage has become more and more common. Based on the characteristics of biochar materials, this paper analyzes the research progress of how biochar is used in the realm of energy storage. The results show that biochar electrode materials have high charge/discharge energy density, long cycle life and high reversible capacity in supercapacitors. In lithium-sulfur batteries are characterized by easy processing, lower cost, environmental friendliness, and high conductivity. In addition, in response to the current state of research, the article analyzes the shortcomings of biochar applications and proposes solutions for adjusting the pore structure of the biochar material, improving the charge transportation ability and thus increasing the specific surface area, doping some other heteroatoms to introduce excellent functional groups. The article explores the research progress of biochar when it comes to energy storage and contributes to the future development of biochar when it comes to green development and energy storage.
Research Progress of Biochar for Water Pollution Control
Authors: Liu Qiwei
Published: December 2023

As an emerging carbon material, biochar has received great attention from scholars in recent years. This paper focuses on the application of three kinds of biochar in water pollution control engineering and their degree of control on organic matter and heavy metal pollution in water. The paper discusses sludge-based biochar, agricultural biomass matrix biochar, and clay mineral/biochar composites. The paper concludes that most biochar materials are at the experimental exploratory research stage and there is limited research on their commercial applications. The paper describes the mechanisms of how biochar can control organic and heavy metal pollution and discusses the advantages and limitations of biochar in controlling these two types of pollutants and the future direction of biochar. The aim of this paper is to help researchers understand the role of biochar in water pollution control engineering and to establish the relevant knowledge framework and logic more effectively. It is hoped that after reading this paper, readers will be able to explore and discover suitable biochar materials or biochar composites for water pollution control engineering.
Visible-light-induced C-H Annulation by Metal-decorated Covalent Organic Frameworks with Fe-bipyridyl linkages
Authors: Zhang Chen
Published: December 2023

The integration of transition metal and photoredox catalyst achieves a harmonious cooperation between sophisticated chemical transformations and judicious utilization of light energy. The previous work was exclusively accomplished through employment of homogeneous transition-metal catalysts or photoredox catalysts. In this study, we present the synthesis of iron-decorated covalent organic frameworks (Fe-COF) and its application on C-H annulation of amides with alkynes by irradiation of visible light. The iron center prompts robust chelation with amides, leading to C-H activation, subsequently. Meanwhile, the photoactive covalent organic framework facilitates visible light absorption and accelerates the C-H activation step. Significantly, isoquinolin-1(2H)-one derivatives with high yield and selectivity were obtained in the presence of Fe-COF under visible light, and highlighting the covalent organic framework's stability and inherent heterogeneous property with repeatable chemical recyclability.
Biological Treatment of Industrial Wastewater
Authors: Jia Shihao
Published: December 2023

The objective of this study is to explore in depth the biological treatment technologies for industrial wastewater and to analyze their application and development with the aim of improving the efficiency of industrial wastewater treatment, reducing costs, and minimizing the adverse effects on the environment. Specifically, it includes: systematically summarizing and comparing the current common biological treatment technologies for industrial wastewater, analyzing their advantages and disadvantages, scope of application, and effectiveness, in order to improve the understanding and control of the biological treatment process. Biofilm treatment technologies include fluidized bed biofilm reactor (FBBR), membrane biofilm reactor (MBfR), moving bed biofilm reactor (MBBR), and rotating biological contactor (RBC). Further research and innovation are needed to improve treatment efficiency, reduce energy consumption and anaerobic treatment, control membrane pollution and degrade difficult-to-biodegrade substances.
The impacts of global warming on animals and their response to climate warming
Authors: Zha Hejunru
Published: December 2023

This paper reviews on animals’ thermoregulations under climate change. There are aspects of animals’ thermoregulation that encompass behavior, physiology, and life history. Among these, behavioral thermoregulation is mostly studied and reported in the early years, which is usually about the strategic selection of optimal timing and locations, facilitating efficient evaporative and conduction heat dissipation, modifying their dietary preferences, and increasing shuttle behavior. The field of physiology involves hormonal regulation, such as secreting more glucocorticoids to achieve better balance control, changing body temperature to be more efficient in heat loss, energy allocation (e.g., metabolic rate) to select optimal strategy between growth and reproduction, and oxidative stress injury. In parallel, life history traits encompass rising growth rate, shrinking lifespan, changing body posture, and declining survival rate. Global warming is the main feature of climate change, with both of the average temperature rising and frequently heat waves occurring being the major characteristics simultaneously. Consequently, there come two scientific questions of this review: (1) What are the impacts of global warming on animals?(2) How do animals respond to climate change?
Ancient Glass Products Identification and Composition Analysis Based on Support Vector Machine
Authors: Guo Pinyue , Yao Shiyi , Ma Yuchi
Published: December 2023

Studying the chemical composition and weathering-related properties of ancient glass holds immense significance as it served as a vital trading commodity along the early Silk Road in China. The texture transformations of ancient glass are closely linked to its chemical composition and storage conditions. Throughout the weathering process, internal elements continually interact with the surrounding environment, leading to alterations in their chemical proportions. To address this, this article has developed a classification method utilizing support vector machines for identifying glass types and analyzing their compositions. This article research provides archaeologists with a convenient tool for investigating ancient glasses, significantly enhancing the identification process.
Analysis And Optimization of Automotive Systems Based on PID Control
Authors: Wei Yumou
Published: December 2023

The development of modern technology has made automation an important part of life. Proportion Integral Derivative (PID) control is a basic control theory of automation which has many applications because of its simple construction and great performance. This article introduces the application of PID control technology in the automotive field. This paper mainly introduces the following aspects: the basic principles and theories of PID control, the challenges of automotive systems and their control, some solutions for PID control in automotive systems, and the improvement and optimization of control. The limitation of the application of traditional control theory in new automotive control have led to the emergence of more optimization algorithms, which can improve the system in more ways. In the future, automotive control systems will continue to be based on PID control as the framework and combined with some optimized new algorithms for practical application. Therefore, understanding PID control is of great significance to clarify the future development of automotive control technology.
Analysis Of Low Offset Operation Amplifier Principles and Its Application Areas
Authors: Shao Zhixin
Published: December 2023

While the functionality of traditional operational amplifiers today is no longer sufficient in areas that require high accuracy, low offset operational amplifiers are used in a wide range of applications in today's world. Compared with traditional operational amplifiers, low offset operational amplifiers have a series of advantages such as high precision and high signal-to-noise ratio, and are currently used in ECG signal acquisition, laser ranging, and plant electrical signal acquisition. Low offset op amps can amplify the signal with more accurately, which is advantageous in environments where the acquired signal is weak and the noisy is large, It mainly reduces the system offset by adjusting the input stage circuit (using the three-stage amplification circuit as the preamplifier circuit and using the two-stage amplification to prevent saturation of the preop amp), and improves the manufacturing process to reduce the structural offset to ensure the accuracy of the output signal. In the future, high integration and high accuracy will be the main development direction of operational amplifiers.
A PID Tuning Method for Hexapod Gait Control Based on Genetic Algorithm
Authors: Jiang Baisheng
Published: December 2023

Hexapods are widely used in the field of rescue robots that transport in complex terrains which are difficult for traditional wheeled robots to traverse. Currently, the method for hexapod gait control is often PID, a classical method that is universally exploited in all control systems in general. However, the fine-tuning of PID’s hyper-parameters(i.e. kp, ki and kd) mainly rely on chances and the experience of tuners. Therefore, it is both urgent and critical to find an automatic way to get through the tuning process and return optimal results. Aiming at this, this paper puts forward a novel approach to adjust these parameters with genetic algorithm. It first builds a computational model of the hexapod, then the terrain, then designates the input, output and constants of the system, builds the PID closed loop, and finally tunes it using genetic algorithm. The approach described in the paper leads to  optimal results in a reasonable amount of time. This makes having hexapods walk on uneven terrain with ease and automacy an alluring possibility.
Obstacle Detection and Avoidance Using Ultrasonic Sensors in Autonomous Robots
Authors: Ma Jiajun
Published: December 2023

Autonomous robots have recently gained traction in a variety of industries due to their efficiency and possible cost savings. However, assuring the safety and dependability of these robots is critical, especially in terms of obstacle detection and avoidance. Ultrasonic sensors, which are known for their low cost, user-friendliness, and dependability, have emerged as a popular and practical solution to this problem. In this paper, the author offer a framework for using numerous ultrasonic sensors in autonomous robots to detect and avoid obstacles.In our approach, real-time sensor data processing is used to correctly identify and quantify the distances to obstacles, which subsequently guides the robot's path adjustment using obstacle avoidance algorithms. The findings show that our proposed framework for multiple ultrasonic sensor-based range and obstacle avoidance is capable of identifying and avoiding obstacles in a variety of situations. Furthermore, this study conducted a comparison analysis between our method and standard single ultrasonic sensor-based obstacle identification and avoidance approaches, indicating that our approach is more accurate, reliable, and robust.This method ensures safe and dependable navigation in a variety of applications, including mobile robots, autonomous vehicles, and drones. Overall, our research advances the development of low-cost, highly dependable autonomous robots for obstacle recognition and avoidance, allowing them to navigate difficult settings.
An Image Recognition Method Based on Correct Parking of Intelligent Medical Vehicles
Authors: Xiao Haoning
Published: December 2023

This paper introduces a circular object recognition method based on image processing technology. With the continuous development of robot technology, there is an increasing demand for efficient and accurate image processing technology in the fields of robot vision navigation and automated production. Therefore, this paper aims to propose an image processing method that can effectively recognize circular targets, and provide technical support for applications in the fields of robot vision navigation and automated production. The method first reads the image and converts it to a binary image, then constructs and closes the graph structure elements and fills the holes. By calculating the area and perimeter of the circular target, the method of threshold matching is used to determine the circular target. In this paper, the red and green circular targets are taken as examples to identify them respectively and judge whether the recognition is successful through logical operations. The experimental results show that the method can effectively identify circular targets under different clearing conditions, and has high accuracy and robustness. This technology can be applied in the fields of robot visual navigation, automatic production, etc., and provides technical support for realizing intelligent and efficient production and service. At the same time, the research method of this paper also provides reference and references for the solution of other object recognition problems.
Principle Analysis and Application Prospect of Mechatronics Drive System
Authors: Tuo Junhao
Published: December 2023

With the progress of science and technology and the change of application demand, mechatronics drive system will face new challenges and opportunities. The purpose of this paper is to deeply analyze the mechatronics drive system, and discuss its application prospect. First of all, the paper introduces mechatronics technology, including definition, characteristics and development history, to better understand mechatronics technology. Secondly, the thesis focuses on the principle analysis of the mechatronics drive system, including the structure of the drive system, the matching principle of the motor, the control principle and the related algorithm. Through the detailed analysis of these principles, the working principle of mechatronics drive system can be better understood. Finally, through the above discussion, the paper analyzes the application potential and potential defects in various aspects, and puts forward the possible development direction in the future. This paper reveals the application prospect of mechatronics drive system in different fields, and provides useful information and enlightenment for relevant researchers and engineers to promote the development and application of mechatronics drive system technology.