bluuebunny/crossref_metadata_2025 huggingface dataset:
Deteksi Kematangan Buah Pepaya Menggunakan Algoritma YOLO Berbasis Android
Authors: Agustina Feri
Published: December 2022

Indonesia dikenal dengan negara tropis, dimana semua tumbuhan tumbuh subur. Salah satu pohon buah yang mudah sekali tumbuh adalah pohon pepaya. Salah satu kelebihan tanaman papaya yaitu tidak mengenal musim sehingga papaya mampu berbuah terus-menerus tanpa bergantung musim. Dalam produksi massal buah pepaya, proses identifikasi kematangan buah pepaya merupakan hal yang sulit. Dengan cara manual, kematangan buah pepaya ditentukan berdasarkan analisis visual warna kulit buah oleh mata manusia yang dapat mengalami kelelahan dan membutuhkan waktu yang cukup lama untuk mengklasifikasikan dan mengidentifikasi tingkat kematangan buah pepaya. maka dibutuhkan solusi untuk dapat mengenali kematangan buah pepaya dengan bantuan komputer untuk mengklasifikasikan kematangan buah pepaya dengan benar yaitu dengan menggunakan kemampuan teknologi pendeteksi objek. Pendeteksi objek atau lebih dikenal dengan object detection merupakan penerapan komputer untuk mendeteksi dan mengidentifikasi objek tertentu. Penggunaan metode YOLO mendeteksi objek dengan cepat, dan mempunyai performa yang lebih baik, karena dapat secara cepat dan akurat menunjukan informasi objek.
Development and Maturation of Microbiota in Cow Rumen, Plant-Fibers Degradation and Influences on the Immune System and Cow Health
Authors: Focardi Silvano
Published: December 2022

Rumen is part of the forestomach of ruminants and plays a key role in the conversion of feed into metabolites that are absorbed and used by the host. The rumen is also the place of formation of proteins of microbial origin, which represent a source of energy for the host animal. From a functional point of view, ruminants are monogastric at birth as they have an undeveloped forestomach system. Microbial communities in the rumen first show colonization by bacteria, followed by that of methanogenic Archaea and then anaerobic fungi and protozoa. In newborn calves, molecular-based techniques evidenced initial rumen colonisation by facultative anaerobic bacteria, as the phyla Proteobacteria and Firmicutes, with genera Enterococcus and Streptococcus and the species Escherichia coli, followed by Archaea within a few hours after birth. These early colonizers utilize the oxygen available in the rumen, thus creating an anaerobic environment conducive to the growth of rigorous anaerobic communities, including Bifidobacterium and Bacteroides. The strict anaerobic bacterial community, including cellulolytic and proteolytic bacteria, establishes and dominates the rumen microbiome within the first two weeks of life. The entire microbial community allows ruminants to use ligno-cellulosic materials and non-protein nitrogen to produce high-quality food. Importantly, these close anaerobic bacterial communities in the rumen of newborns play an essential role in the development of the mucosal immune system. A healthy rumen leads to healthy ruminants with optimal performance. It is worth highlighting the importance of the microbiome in maintaining the health of cattle and its potential in alleviating disease. This mini-review described the development of the cow microbiome in the rumen, the degradation abilities and influence of the feed on the rumen microbiota, and the microbiota effects on the cow’s immune system and health.
Dijital Medya ve Spor Sponsorluğu: Yandex ve Fenerbahçe İşbirliği Üzerine İnceleme
Authors: BÖYÜK Mustafa
Published: December 2022

Dijital medya günümüzde insanların hayatlarında önemli bir yere sahiptir. Arama motorları ise dijital dünyanın en etkin yapı taşlarındandır. Geçmişten bu yana insanların hayatında yer alan bir başka öge ise spordur. Taraftarlık ise insanların spora dâhil olma şekillerindendir. Bu bağlamda sporun desteklenmesi, sponsorluk ve dijital medya unsurları günümüzde yan yana gelmeye başlamıştır. Çalışmanın odaklandığı Fenerbahçe Yandex Arama Motoru söz konusu durumu yansıtmaktadır. Twitter ise dijital medyada insanların bir araya geldiği en popüler olan uygulamalardandır. İnsanların hayatlarına dair farklı türde içerikleri barındıran uygulama toplumlarda etkileşim kurma unsuru olarak kullanılabilmektedir. Bu bağlamda Fenerbahçe Spor Kulübü’nün Twitter hesabı üzerinden Fenerbahçe Yandex paylaşımları çalışmanın ana temasını oluşturmaktadır. Söz konusu çalışmada ise örneklem olarak @Fenerbahce hesabı ele alınmıştır. Fenerbahçe’nin Twitter hesabı netnografi yöntemiyle incelenmiştir. Sonuç olarak FB Yandex Arama motoru Twitter üzerinden genel olarak tanıtım yapmak ve daha çok insana ulaştırılmak istenmiştir. Buna karşın kullanıcıların ve taraftarların arama motoru konusunda çok fazla etkileşimde olmadığı tespit edilmiştir.
Analysis of the application of Huaihe River Basin folk culture to the construction of beautiful village culture wall from the perspective of rural revitalization
Authors: Wang Feng , Cheng Mengyang
Published: December 2022

Our country vigorously implemented the "rural revitalization strategy", let the people have a higher sense of happiness, under the corresponding national call, the society has higher attention to the folk culture application of beautiful rural culture wall construction. We deeply explore and excavate the folk cultural elements of the Huaihe River basin, and according to the actual requirements of building a new socialist countryside, combined with the excellent traditional folk culture of the Huaihe River basin, as well as the excavation of the profound folk culture of the Huaihe River basin, explore the rich resources of the Huaihe River basin. The folk-art elements such as Hua-Gu-deng art, Sizhou opera, Lingbi Zhong-Kuo painting, Feng-yang-feng painting are applied to the construction of the folk culture wall in the Huaihe River basin. Link theory to practice, let the paper written on the yellow soil. Hope to make a contribution to the construction of rural charm culture wall; To stimulate the Huaihe River basin folk culture and art construction to make a contribution; To contribute to the building of a socialist society with Chinese characteristics.
Application and Expression of Artificial Light Source Design in Exhibition Space
Authors: Duan Huiying
Published: December 2022

The window of culture has the functions of cultural inheritance and emotional education. As the key content of exhibition design, lighting is not only an effective way to create a good atmosphere for visitors, but also an effective way to improve the exhibition level. [Method/process] Lighting is the main factor affecting museum display. In order to maximize the effectiveness of exhibition, it is necessary to use lighting flexibly. [Conclusion] Through the research on the lighting design of the exhibition space of the museum, this paper analyzes the artistic effects and impacts of different forms of lighting, and on this basis, discusses the application principles and methods of lighting design in the exhibition design of the museum, so as to provide a theoretical basis for creating a display space that conforms to the visitors' cognitive behavior and can reflect the cultural connotation of the exhibits.
Metal-organic Frameworks for Natural Gas Storage
Authors: Huang Yiran , Sun Weilong , Zhou Qianyue
Published: December 2022

Methane, as the transitional fuel, still emits CO2 during combustion but less than gasoline. Developing new adsorption materials can improve the efficiency of methane storage and then achieve the goal safely and economically. Metal-organic Frameworks (MOF) with the advantage of high porosity and adjustable pore surface area, are considered one of the promising materials for natural storage. Here, this article briefly introduces the preparation of MOF and mentions some details during this process such as the solvothermal technique, and electrochemical synthesis methods, covering some defects in the preparation process. Many kinds of materials have different volumetric adsorption rates and mass adsorption rates compared with DOE standards. In chronological order, this paper lists some typical materials and discusses specific structures inside MOFs corresponding to relative performance. Changing or adjusting organic ligands can improve capacities so that a series of MOFs are designed like MFM-132, MFM-112 and MFM-115. In addition, the factors influencing adsorption rate are also considered including internal factors, surface area, porosity, structure, adsorption isotherm and external factors, pressure, and temperature, respectively
Metal-organic frameworks for hydrogen storage: progression in synthetical methods on physical and chemical properties
Authors: Chen YuanHao
Published: December 2022

Metal-organic frameworks (MOFs) with their flexibility give rise to various types that help to improve the capability of MOFs in hydrogen storage. In this article, the synthetical methods as a crucial factor in the advancement in MOFs application are detailly presented. These methods contribute to incrementing the adsorption capacity and the stability of MOFs. The tactic for this approach is mainly increased by the exchange and modification of the metal ion and ligand of the complex. The metal ion increases adsorption enthalpy, while the ligand increases surface area and pore volume. Apart from adsorption enthalpy, stability is another critical property for MOFs in hydrogen storage. The modification and alteration of the structural feature of the MOFs are two main approaches for this target. Chemical stability is primarily related to the adsorption enthalpy, which uses the same methods including the exchange of metal and ligand. The physical stability raised by using penetrated system increases the interaction strength in the MOFs. These techniques discuss the future application in areas such as the working capacity and thermostability of the MOFs. The detailed mechanisms and effects for these general types of synthetical methods are presented. Also, data and analogy with the expected use for these types of the synthetical pathway to evaluate the suitable circumstances to adopt these methods. In the end, reasonable improvements to these methods introduce interpretation to select the appropriate technique for future investigation in MOFs development.
Glass component analysis based on Fisher's linear discriminant model and random forest classification model
Authors: Liu Baoyin , Liu Yapeng
Published: December 2022

The production of ancient glass is the crystallization of the wisdom of the majority of ancient working people in China. The differences in fluxes and the differences in the burial environment during weathering have a great impact on its chemical composition content. In this paper, a relevant classification model is established based on the data of various properties of glass. In this paper, Fisher linear discriminant model and random forest classification model were established according to the content of different chemical components, and Fisher linear discriminant model, which is easier to test for sensitivity analysis, was selected. Next, the clustering results were obtained by systematically clustering high potassium glass and lead-barium glass, and the classification basis was determined by drawing a line graph and then establishing a subclass classification model to classify high potassium glass into low potassium subclasses and high calcium subclasses. Sensitivity analysis was performed by changing the values of key parameters to check the reasonableness and stability of the subclass classification model. A discriminant model was established to initially determine the categories of eight unknown classified glass artifacts. Sensitivity analysis was performed by changing the key variables through the gradient descent method, and the model was obtained to have good sensitivity.
Analysis and identification of glass relics
Authors: Wang Jian , Wen Hanying , Li Tianle
Published: December 2022

To study the composition and identification of glass relics, the identification model is established using a regression model, statistical analysis, and a grey correlation matrix. Firstly, the chemical composition content of cultural relics before weathering is analyzed. Secondly, the classification of glass relics is obtained. Finally, the differences in the chemical composition of glass products are analyzed. The results show that: (1) there are more correlations among the chemical components in high potassium glass, and the correlation between potassium oxide, magnesium oxide, alumina, iron oxide, and copper oxide is closed. (2) Potassium oxide, magnesium oxide, alumina, and iron oxide in lead barium glass are more closely related to calcium oxide.
Synthesis of ethanol, methanol and carboxylic acids using copper-based catalysts
Authors: Fan Xiyu , Gong Jilin , Zhou Linyan
Published: December 2022

Recently, organic synthesis using carbon dioxide (CO2) has been actively studied for possible countermeasures against global warming caused by greenhouse gas emissions. The recycling and reuse of CO2 can reduce the amount of CO2 in the atmosphere and avoid further damage to the earth’s ecological environment. For example, many kinds of methods are advanced to prepare useful chemicals from CO2, where these useful chemicals include ethanol, methanol and carboxylic acid. The introduction of catalysts in CO2-based chemical synthesis can speed up the reaction and also tune the product species. The transition metal complexes have become essential in those synthesis reactions. As catalysts, they have a broad prospect because it is cheap in price, vast in reserves and less harmful to the environment. This research summarizes the function of copper-based catalysts in synthesis of different compounds, such as ethanol, methanol and carboxylic acid. The use of these catalysts is expected to provide a new idea for subsequent CO2-based organic synthesis.
Synthetic Route And Application of Photodegradable Polymers
Authors: Yan Haotian
Published: December 2022

With the accumulating mass of land wastes, designing end-of-life principles for plastic wastes is becoming one of the most debated topics for polymer scientists. A developing family of materials called photodegradable polymers carries great environmental and commercial values. Photodegradable polymers will engage in photolysis under specific wavelengths, resulting in cleavages on the polymer backbone and smaller molecular weights. This research will discuss standard methods of photodegradation, such as Norris I&II, along with common photodegradable polymers and their functionalities. Examples of photodegradable polymers illustrated are polybutadiene, isotactic poly(propylene oxide) (iPPO), polylactide (PLA), and polystyrene. In Particular, this research used polystyrene as an example to explain the common degradation steps of photodegradable polymers. Nevertheless, the synthetic route and plans utilized for those polymers are discussed, shedding light on future possibilities in this field. Promising directions, such as metal-organic polymers with metal-to-metal bonds that can be synthesized through ring-opening metathesis polymerization (ROMP) are touched upon by the end of the research, introducing possible future implications in polymer science.
Study on Composition Analysis and Identification of Ancient Glass Products
Authors: Yang Nian
Published: December 2022

Glass is the precious material evidence of the early trade of the ancient Silk Road, but the ancient glass is easily weathered by the influence of burial, and its composition ratio changes, which affects the correct judgment of its category. The study of the composition analysis and identification of ancient glass products is of great help to understand the social culture and foreign trade civilization at that time. This paper mainly studies the composition analysis and identification of ancient glassware, to evaluate, predict and classify the ancient glassware, this paper establishes a comprehensive evaluation model, using the chi-square test, K-means clustering model, decision tree model, Lasso regression and grey correlation degree test. It helps archaeologists to analyze and predict the correlation between the weathering degree of cultural relics and their attributes and chemical composition content, and according to the existing classification standards of cultural relics. A labelled subclassification scheme is formulated to identify the types of unknown cultural relics. At the same time, the correlation between the chemical components of different types of cultural relics was analyzed.
The advantages and future development trends of reverse seawater osmosis compared with other desalination methods
Authors: Shen Tianyi
Published: December 2022

Global freshwater resources are not evenly distributed in regions and time, and with economic development and population growth, the world's water consumption is also increasing year by year. The world is facing a crisis of insufficient freshwater resources, which will become more and more serious in the future. In order to solve this problem, various countries are vigorously developing seawater desalination technology. Seawater reverse osmosis is one of the important methods of seawater desalination. The advantages and disadvantages of the seawater reverse osmosis method were obtained by comparing it with other desalination methods. Find references to list the views of some countries on seawater reverse osmosis. Combined with the different needs of some regions and countries, this paper summarizes the corresponding progress of seawater reverse osmosis technology, analyzes the application of seawater reverse osmosis, and understands the specific technologies to be developed in the future. The future development trend and challenges of seawater reverse osmosis were predicted.
Research on Industrial Clusters and Regional Economic Impact in Underdeveloped Regions Based on ANN-MLP algorithm
Authors: Song Yi , Ye Ye , Wang Yifei
Published: December 2022

The industrial cluster is an important source of regional competitiveness and a powerful carrier of regional economic growth. This paper firstly constructs the index system of regional industrial clusters and regional economy, uses artificial neural network-multi-layer perceptron (ANN-MLP) algorithm for contribution analysis, and uses mean square error (MSE) and coefficient of determination (R2) as the algorithm test index, and finally takes Jiangxi province as an example to empirically study the impact of industrial clusters and regional economy in less developed regions. The research results show that the model has high accuracy, when the parameter MSE is 2259314 and R2 is 0.969. Through this research, this paper can help managers make correct decisions and promote economic development. Industrial clusters can drive economic growth, and regional economies can bring more benefits to industrial clusters.
Study on C4 olefin production by ethanol coupling based on multiple regression model
Authors: Xue Yifei , Pan Weijie , Wei Yang
Published: December 2022

In this paper, the influencing factors of ethanol conversion, C4 olefin selectivity and C4 olefin yield in the experiment of ethanol coupling preparation were analyzed, and then quantified modeling was carried out, and the combination design of catalyst was carried out, so as to make the above three variables reach the optimal value.Using the experimental data, professional and statistical analysis methods were used to analyze the correlation and regression of the possible influencing factors.On the basis of the experimental data given in the research background, the optimal catalyst combination and temperature for the above targets in the process of preparing C4 olefin were obtained.
A study of ancient glass classification problem based on multiple logistic regression
Authors: Zuo Jingping , Gan Hangxin , Li Huixin
Published: December 2022

The Silk Road was a commercial route linking China and the West in ancient times, and was an important window for China to open up to the outside world during the Han Dynasty, strongly promoting cultural exchange between China and the West. Ancient glass is susceptible to weathering by the burial environment, and in the process the proportions of its various chemical components change. This paper studies the chemical composition content of ancient glass objects, establishes a classification model, analyses the correlation between various parameters of different types of glass objects, gives statistical laws and specific classification methods, and uses glass objects to help the exchange and mutual appreciation between Eastern and Western civilizations and the longevity of Chinese civilization.
A study on the classification of ancient glassware based on K-means clustering algorithm
Authors: Liu Yiming , Li Chenxu
Published: December 2022

In this paper, a mathematical model based on cluster analysis is developed for the composition of ancient glass products, and the classification rules of high potassium glass and lead-barium glass as well as the method of subclassing them are given. In this paper, scatter plots were used to screen out the chemical constituents in high potassium and lead-barium glasses that varied considerably at different sampling points. The contents of these chemical components were systematically clustered separately and the aggregation coefficient line graphs were plotted to obtain the number of classes of clusters. The K-means algorithm was then used to obtain a classification of high potassium glass into three categories using alumina content and lead-barium glass into two categories using barium oxide content. Finally, the model was subjected to reasonableness and sensitivity analysis, and the results showed that the sensitivity of the model was low.
The Study of Convid-19 Recognition and Performance Optimization Based on AlexNet
Authors: Huang Yangyu
Published: December 2022

Corona Virus Disease 19 (COVID-19), a severe disease that killed millions of human’s lives. It has been found a quick and highly efficient way to classify whether a people get COVID-19 or not. Computer Vision (CV) is used to scan the chest X-ray image and help identify patient’s condition. In this paper, one of deep learning algorithm - AlexNet provides several hyper-parameters to increase the system. Four main hyper-parameters are modified to increase the accuracy: size of input data, epochs, learning rate and Batch Normalization (BN) layer. In the first experiment, compare the accuracy of two input data size. Resizing is a crucial process in this test. Since the default image size of AlexNet is 256, it is required to change the size in both training and test parts. Then, three learning rate are tested to find which one is the steadiest one. ReduceLROnPlateau (RLROP) is one of the best learning rate methods to AlexNet. It can modify the number every time if the accuracy doesn’t increase. BN layer gives a surprised result to the classification report: it has a negative effect to the system and has been denied quickly. During the two experiments, the value of epochs is constant. So, it is easy to find the best epoch number. The consequence of classification report shows that a smaller image size without BN layers gives a highest accuracy and has a highly efficient and steady system.
Credit Card Fraud Detection Using Feature Fusion-based Machine Learning Model
Authors: Meng Qing
Published: December 2022

Credit card fraud is a very common means of financial fraud at present. In order to reduce social and personal economic property losses, this study aims to propose a model to predict credit card fraud, so as to detect possible fraudulent transactions in the transaction process. In this paper, the data set to simulate fraudulent transactions be used, and construct the model after processing the characteristic data and selecting the features. In the model construction part, four algorithms are used as the trained classifiers, which are K Nearest Neighbor algorithm, Bgging algorithm, Logistic Regression algorithm and Gaussian Bayesian algorithm. First, the four algorithms are used to train the data set respectively, and then the parameters of each classifier are adjusted respectively, so that each individual classifier achieves the optimal performance. On this basis, a new model is constructed by using the method of model fusion. The classifier constructed by K Nearest Neighbor algorithm, Bagging algorithm and Gaussian Bayesian algorithm is used as the primary learner, and the classifier constructed by logistic regression algorithm is used as the secondary classifier to build a fused model as a whole. The final experimental results will give the classification performance of the five models, including individual models. The results show that the performance of the model after integrating the four individual models is better than that of the single model, which can provide accurate feedback for credit card holders on whether there is fraud.
Network Intrusion Detection System Based on One-Dimensional Convolutional Neural Networks
Authors: Zhao Jiwei , Zhang Zeyu , Xing Peiwen , Wu Jiahui
Published: December 2022

Network Intrusion leaks the personal information of network users on a large scale, causing serious security risks. It is of great significance to the Intrusion Detection Systems (IDS) to find abnormal traffic from a huge database in time. Traditional machine learning methods to detect abnormal network traffic usually need to manually extract features from the dataset, which is time-consuming and has low accuracy. This paper proposes a deep learning-based abnormal traffic detection method based on an Improved One-Dimensional Convolutional Neural Networks (ICNN-1D) to detect abnormal network traffic, which greatly improves the extraction accuracy of abnormal traffic features and improves the identification of attack traffic. CNN applies multiple filters (convolution kernels) to the raw pixel data of an image to extract and learn higher-level features. After multiple convolutions, the characteristic graph with the same number of categories as the number of samples is obtained. The experimental results on the dataset CIC-IDS2017 show that the accuracy of the hybrid algorithm is 99.8%. Compared with other learning algorithms, the accuracy of our method greatly improves, and the operation time has been reduced.
Current Situation and Development of Advanced Planning and Scheduling System Based on Group Optimization Algorithm in Discrete Industry
Authors: Wang Miao , Huang Yuhua , Zhang Jindong
Published: December 2022

Discrete industry, especially job shop scheduling, has always been the key industry of Advanced Planning and Scheduling system (APS) system application. Based on Particle Swarm optimization (PSO), this paper introduces the Group swarm optimization algorithm, expounds the relevant theory and development status of APS, introduces the application of Particle Swarm optimization and Artificial Bee Colony optimization algorithm in APS system, and analyzes the performance and efficiency of the two algorithms. Finally, it predicts the future development trend of APS: the core algorithm will adopt a variety of hybrid algorithms, and the data flow will be combined with ERP / MES system.
Telemedicine in Remote Areas: Possibility of Establishing a Telemedicine System
Authors: Hu Mengjie
Published: December 2022

The COVID-19 epidemic is a severe test for the whole medical industry. Under such a circumstance, healthcare is seeking creative business models. Contemporarily, many countries have developed telemedicine, which is an innovative way of consultation brought by digitalization to healthcare. It has developed more rapidly under the spread of COVID-19. Popularizing telemedicine is a perfect method to deal with the epidemic, which can be specified with telediagnosis, teletherapy, and telemonitoring. Since patients in remote districts also long for professional medical services, this paper intends to explore the possibility of building a medical institution to provide telemedicine for patients living in remote areas. Besides, this paper discusses the application of each function and its limitations. Though telemedicine brings more chances for the patients who have a distance to the medical institution, high quality equipment and funds are needed to support the run of telemedicine. However, the implementation of 5G can improve the performance of telemedicine, especially in the latency of telesurgery. Overall, though building a medical station that supports telemedicine is challenging, there are particular populations have demand on it. These results shed light on guiding further exploration of digital updating for medical industry.
Research on Prediction Model of Fracture Width in Loss Formation Based on Artificial Neural Network
Authors: Yang Xuewen , Liu Hongtao , Zhou Bo , Zhu Jinzhi , Zhang Shaojun , Wang Tao , Zhang Zhen , Lu Haiying , Lou Erbiao , Bao Dan
Published: December 2022

Lost circulation in fractured formation has always been a worldwide technical problem in oil and gas drilling projects at home and abroad. The effect of bridging plugging depend on the matching of the fracture width and the particle size of lost circulation material. The plugging formula can be optimized according to the bridge rules to improve the success rate of plugging. In this paper, a prediction model of fracture width based on artificial neural network was established. Input layer, hidden layer and output layer were included. 17 input parameters such as well depth, formation, density of drilling fluid and displacement were determined. The fracture width was the output parameter. By optimizing the number of hidden layers and their nodes, the optimized training set had 2 hidden layers, and the number of nodes in the first hidden layer was 4, and the number of nodes in the second hidden layer was 10, the prediction accuracy of the model was the best, with the RMSE of 1.24 and the maximum R2 of 0.94. The model runs well in the test set with RMSE of 1.28 and R2 of 0.92. The fracture width prediction results of 5 Wells showed that the prediction results of this model match well with the field measurement results, and the average relative error percentage is only 2.94%. The established model had high accuracy, which can provide a basis for early and accurate prediction of well loss risk on site and for guiding optimization of engineering parameters to prevent well loss.
Analysis of The Impact of Human-Induced Pollutants on River Microbiology
Authors: Cai Shangchen
Published: December 2022

In recent decades, water quality and contaminant concentrations have been tightly regulated by relevant laws and monitoring. However, detailed microbial composition in different environments and their interactions with human activities has yet to be fully characterized. This paper shows how different environments, including city environments and highways, can affect the properties of water bodies closely associated with them geographically. Two pairs of locations along Schuylkill and Wissahickon River were sampled. Through 16s rRNA metagenomic sequencing and prediction, the taxonomic and gene profile of samples from various locations were elucidated. Through comparative study of these samples, the effect of human activity on the river between the locations were suggested. In the Wissahickon River, metagenome analysis indicates that human-induced pollutants fostered the growth of bacteria that are able to utilize them but suggests no increment of genes’ abundance that resist their damaging effects, such as heavy metals exporting ATPase, and various antibiotic resistance genes. In the Schuylkill River, the analysis indicates that the growth of the aforementioned bacteria is insignificant, and the resistance genes are predicted to decrease in the urban area where it is anticipated to receive more influence from human activities, rendering the result inconclusive. This study is anticipated to become the starting point for future research on microbial populations in water bodies so that the dynamics of how human activities influence river microbiology can be determined more clearly.
Research on the Initial Settlement Depth of Artificial Reef on the Clay Seabed
Authors: Jia Chao , Cui Wenbo , Dong Lifeng , Wei Ruchun , Ma Hongyuan , Ding Pengpeng
Published: December 2022

The artificial reef is an artificial structure that simulates some characteristics of a natural reef. Its penetration depth in the seabed soil affects the stability of the reef on the seabed. In this paper, based on the CEL (Coupled Eulerian-Lagrangian analysis) method, a finite element model is established for the process of artificial reef entry and penetration, which simulates the speed change law of the artificial reef in the water and the penetration depth in the clay seabed, and The study analyzed the influence of different reef weights, penetration speeds, and seabed soil properties on the penetration depth of artificial reefs.
Quality Control Model of Ore Processing Based on Elman Neural Network
Authors: Li Haoyu
Published: December 2022

In this paper, by establishing Elman neural network and decision tree model, the quality control of ore processing is studied and reasonably predicted.Predict the product quality and the temperature corresponding to the target quality. Elman neural network model is established, training set and output set are input for training, and test set is input into neural network to obtain the relative error of real value and training value; After verification, the relative error between our real value and training value is within 100% ± 5%, and the model is accurate; Finally, the input value is substituted to obtain the forecast data.Establish the mathematical model of product qualification rate. The decision tree model is established by using SPSS, and the decision tree system is constructed by using the four factors of system setting temperature, raw ore parameters, process data and final ore quality. Through inspection, our R 2 is 0.999991, close to 1, and the model fitting is good. Compared with other parameters, it can be found that the model has good sensitivity and high accuracy. Finally, the input data is sent into the model to get the final prediction results.
Analysis of development performance characteristics of strong heterogeneous carbonate gas reservoirs——the Deng 4 gas reservoir in the GM block
Authors: Yang Yang , Juan Li
Published: December 2022

The Deng 4 gas reservoir in the GM block of Anyue gas field is an important area of natural gas production during the "13th Five-Year Plan" period. A correct understanding of its production dynamics is the key to scientific development of gas reservoirs and long-term stable production. Using gas reservoir engineering, production statistics, well test analysis, etc.，combined with gas reservoir geological characteristics, produced fluid properties, oil pressure production decline, gas well productivity, and single well controlled reserves, analyzed and summarized the Dengying Group gas in the block. The dynamic characteristics of production provide a reference for later efficient development.
Analysis and Development of Current Research on Permafrost
Authors: Li Junshu , Tong Zhengyang , Yin Yue
Published: December 2022

In recent years, the research on permafrost is more and more in-depth. In China, with the expansion of infrastructure after China's economic reform, permafrost in high altitude areas has interfered with the construction of railways and houses. As a common resource in China, frozen soil has both advantages and disadvantages. At present, because of the existence of frozen soil layer, many infrastructure projects cannot be carried out smoothly, which has become a serious obstacle in the process of infrastructure construction. At present, the scientific community is trying to solve this problem. In fact, the existence of frozen soil layer is the most common phenomenon in nature. How to give full play to the nature of frozen soil and its value and role is a hot issue at present. The purpose of this paper is to discover the properties and problems of permafrost. Based on the research of scholars and the author's views on future trends, this paper briefly summarizes several properties of permafrost.
Numero 11 completo
Authors: Tintas Rivista
Published: December 2022

Numero 11 completo
Digital Technology Transformation of SMEs: Indonesian Case Study
Authors: Kawung George M V , Mintardjo Christoffel M O , Rompas Wensy F I , Rogi Mirah Helen
Published: December 2022

The transition to the industry 4.0 era has forced businesses worldwide, including Indonesia, to adapt to digital transformation. The problem faced by small and medium-sized businesses is the readiness to adopt digital technology. It is necessary to study the readiness of Small Medium Sized Enterprises (SMEs) to face changes so that information and needs from SMEs can be obtained to adapt to this new era. This paper aims to analyze SMEs’ technological readiness to carry out digital transformation in Indonesia. The research method is quantitative, involving 150 SMEs in Manado City. North Sulawesi Province, Indonesia online. Data analysis with multiple regression. The research findings reveal the readiness of SMEs to carry out digital technology transformation in Indonesia. The implication of this research is to serve as a guide for the government, universities, and the industrial world so that SMEs in Indonesia can successfully transform digital technology.
In vitro anticancer, antimicrobial and antiradical properties and bioactive compounds of endemic Wiedemannia orientalis Fisch. & Mey. flowers
Authors: KESER Serhat , KESER Fatma , TEKİN Suat , TÜRKOĞLU İsmail , KAYGILI Omer , DEMİR Ersin , YILMAZ Prof. Dr.  Ökkeş , SANDAL Süleyman , KIRBAĞ Sevda , KARATEPE Mustafa
Published: December 2022

W. orientalis is a one-year herbaceous plant, located in the Lamiaceae family, and is called Ballıbaba in Turkish. In the presented study, the antimicrobial and anticancer properties of flowers extracts of endemic W. orientalis were investigated for the first time. Also, it was investigated the antiradical activity and phytochemical contents of this plant extracts. According to our study results, endemic W. orientalis flowers extract show very high anticancer activity against MCF-7, HCT-116 and LNCaP cancer cell lines, high antiradical activity against ABTS radicals, and effective antimicrobial activity against some microorganism caused infection in humans. In conclusion, endemic W. orientalis can be used as an anticancer and antimicrobial agent and this plant can be the subject of further studies in the field of herbal medicine.
Dampak Perkawinan Paksa terhadap Kehidupan Rumah Tangga di Desa Sungai Siput Kecamatan Siak Kecil Kabupaten Bengkalis
Authors: Alam Hadi Robithoh
Published: December 2022

Perkawinan merupakan salah satu sunnah nabi yang patut diikuti dan dicontoh oleh pengikutnya, karena selain mencontoh, ia merupakan tabiat manusia untuk memenuhi kebutuhan rohani dan jasmaninya. Perkawinan juga merupakan citacita yang mempunyai tempat tersendiri dalam kehidupan manusia sebab di dalamnya mengandung ikatan antara dua insan yang dapat mengangkat derajat mereka. Penduduk di Kabupaten Bengkalis khususnya didalam masyarakat Desa Sungai Siput ada perlakuan orang tua sebahagian menikahkan anak tanpa memberikan hak kepada sang anak untuk memilih sendiri jodohnya. Padahal dalam perkawinan itu harus ada kerelaan dari kedua belah pihak Penelitian ini menggunakan jenis penelitian penelitian kualitatif (qualitative research), pendekatan sosiologis merupakan suatu landasan kajian untuk mempelajari hidup bersama dalam masyarakat, dengan teknik pengumpulan data Wawancara dan observasi. Sedangkan analisis data yang digunakan adalah diskriptif kualitatif. Adapun hasil dari penelitian ini sebagai berikut, Pertama, faktor-faktor terjadinya perkawinan paksa di desa Sungai Siput Kecamatan Siak Kecil Kabupaten Bengkalis adalah: a) Agar lebih dewasa dan bertanggung jawab, b) Usia sudah semakin tua, c) Sering keluar rumah berduaan, d) Orang tua takut pergaulan bebas anaknya, dan e) Karena tidak menyelesaikan perkuliahan, Kedua, Dampak terjadinya perkawinan paksa dalam rumah tangga : a) Dari awal pernikahan selalu tertekan sampai sekarang, b) Sering terjadi pertengkaran karena tidak sependapat dalam urusan rumah tangga, c) Sulit merajut ikatan romantis dalam keluarga, d) Sering keluar rumah berduaan, f) Orang tua takut pergaulan bebas. Didalam pasal 17 ayat (2) Kompilasi hukum Islam yang menegaskan bahwa bila ternyata perkawinan tidak disetujui oleh salah seorang calon mempelai maka perkawinan tidak dapat dilangsungkan.
PROBLEMATIKA PADA PERBANKAN SYARI’AH (Kontrak Pembiayaan Murabahah)
Authors: Kamal Jaidil
Published: December 2022

Salah satu produk bank syariah yang berdasarkan prinsip jual beli dan banyak dimanfaatkan di bank syariah ialah murabahah. Dalam praktiknya, terdapat persolaan murabahah yang menuai beberapa kritik, skema mark-up terhadap praktek di perbankan syariah. Tulisan ini bertujuan mengungkapkan dan mendeskripsikan persoalan praktik transaksi Murabahah di lembaga keuangan syariah. Dimulai dengan kegelisahan akademik persoalan murabahah dari perbedaan pandangan tokoh. Oleh karena itu dalam penelitian ini yang menjadi rumusannya adalah Bagaimanakah Kontrak Pembiayaan Murabahah pada Bank Syari’ah dengan metode penelitian kualitatif yang identik dengan metode riset yang sifatnya deskriptif, menggunakan analisis, mengacu pada data, memanfaatkan teori yang ada sebagai bahan pendukung, serta menghasilkan suatu teori. Penelitian kualitatif ini merujuk pada data yang bersifat normatif yang sangat erat hubungannya dengan data-data kepustakaan, maka jenis penelitian ini adalah penelitian kepustakaan (library research). Dan hasil dari penelitian ini adalah Bai’ al-Murâbahah termasuk jual-beli yang dibolehkan, yaitu jual-beli barang dengan harga yang pasti (harga pokok plus margin keuntungan) yang harus dibayar oleh pembeli (nasabah) pada saat jatuh tempo yang telah ditentukan. Atau dengan kata lain, akad bai’ al- Murâbahah hukumnya sah (diperbolehkan), sedangkan yang menjadi perdebatan di kalangan para ulama (fuqaha) adalah operasionalisasi akad bai’ al-Murâbahah menjadi sebuah produk dalam praktik perbankan.
PELARANGAN TRANSGENDER MENURUT BUYA HAMKA (Dalam Kitab Tafsir Al Azhar)
Authors: Netti Misra
Published: December 2022

Tulisan ini mengkaji tentang pelarangan transgender menurut Buya Hamka dalam kitab tafsir al-Azhar, Transgender merupakan suatu gejala ketidakpuasan seseorang karena merasa tidak adanya kecocokan antara bentuk fisik dan kelamin dengan kejiwaan ataupun adanya ketidakpuasan dengan alat kelamin yang dimilikinya). Transgender (Perpindahan gender dari laki-laki ke perempuan yang memiliki jenis kelamin normal/sempuna). Tujuan penelitan ini adalah untuk mengetahui tentang dalil pelarangan transgender baik dalam al-Qur’an mapun dalam hadis Nabi. Penelitian ini dilakukan dengan menggunakan metode penelitian kepustakaan (library research), dengan sumber utama adalah kitab Tafsir al-Azhar karya Buya Hamka. Hasil akhir dari penelitian ini dapat diambil kesimpualan yaitu: Buya Hamka menjelaskam dalam kitab tafsir al-Azhar, ia menyatakan transgender suatu perbuatan yang dilarang yaitu merujuk kepada dua dalil : pertama dalil menunjukkan kepada seseuatu yang merubah ciptaaan Allah dasarnya terdapat pada  an-Nisa’ ayat 119, ar-Rum: 30 dan Bukhari tentang larangan merubah ciptaan Allah. Kedua dalil yang menunjukkan larangan menyerupai lawan jenis terdapat pada  al-Baqarah ayat 216 dan  at-Thurmudzi, Celaan  (menyerupai lawan jenis) dalam hal ucapan dan cara jalan dikhususkan bagi orang yang bersengaja melakukannya. Melihat terhadap dampak dari perbuatan transgender tersebut maka tergolong kepada suatu yang dilarang. Kerusakan  tidak boleh dihilangkan dengan cara melakukan kerusakan lain yang sebanding keadaannya. seorang transgender, dalam kehidupan bermasyarakat menyerupai lawan jenis saja, sudah banyak terdapat permasalahan mulai dari dicemoohan, dikucilkan, dan diskriminasi dalam kehidupan Apalagi transgender tersebut sampai melakukan  operasi merubah jenis kelamin, resikonya lebih besar.
Strategi Pengembangan Pariwisata Halal Kota Pekanbaru dengan Mengoptimalkan Industri Kreatif
Authors: Syahrial Murah , Kurniawan Wawan
Published: December 2022

Penelitian ini bertujuan untuk mengetahui potensi Pariwisata halal yang ada di kota Pekanbaru, dan mencari strategi pengembangan industri kreatif yang bisa digunakan dalam pengembangan Pariwisata halal di kota Pekanbaru terutama di kawasan Masjid Raya Annur. Penelitian ini menggunakan analisis deskriptif kuantitatif, kualitatif, dan tehnik analisis yang digunakan adalah analisis SWOT. Hasil penelitian menunjukan kawasan Masjid Raya Annur siap menjadi kawasan Pariwisata halal di Pekanbaru. Kawasan Masjid Raya Annur didukung dengan beberapa industri kreatif seperti kuliner, dan fesyen yang sudah mengikuti persyaratan Pariwisata Halal seperti ketersediaan logo atau sertifikasi Halal, ketersediaan ruang sholat dan wudhu, toilet yang bersih, pakaian pelayan yang sesuai Strategi untuk pengembangan produk di daerahMasjid Raya Annur masuk ke dalam kesadaran untuk menjaga dan mempertahankan. Meskipundaerah Masjid Raya Annur siap menjadi tujuan Pariwisata halal di Pekanbaru tetapi masih membutuhkan dukungan dari pemerintah daerah untuk sertifikasi halal karena masih ada restoran dan tempat makan di daerah itu yang tidak memiliki sertifikasi halal atau logo dan membuatpaket Pariwisata halal untuk menambah jumlah wisatawan muslim ke daerah Masjid Raya Annur. Peran masyarakat juga penting untuk menjaga dan mempertahankan pengembangan Pariwisata halal di daerah Masjid Raya Annur.
The Preferences of Dentistry Students in Different Academic Period On Learning Conditions
Authors: ERSİN Ayşe
Published: December 2022

Dentistry is a professional field which effective teaching is very important and dentistry students differ in their culture, experience, personality and learning preferences. In these circumstances, students' preferences should be considered more and educators should try to improve conditions to meet students' learning needs.
To investigate the preferences of dental students about lecture components, exams, attendance, and professional development a survey has been sent to 190 students at the Faculty of Dentistry, Cyprus Health, and Social Sciences University via the Classroom application as of May 2020. Results were evaluated in five categories; demographic components, lecture components, exams, attendance, and professional development.
The respondent rate was 66.8%. Majority of the respondents preferred 40-minutes morning lectures and multiple-choice exam and thought the attendance should not be compulsory. Most students agreed that having lectures delivered through PowerPoint presentations and informing students in advance regarding the course topics make the lectures more efficient and thought practical course is necessary to consolidate knowledge after the theoretical course. Some of them agreed that homework is useful for supporting the course.
Changes and improvements in teaching methods and channels are now more necessary than ever, and the results of our research can shed light on these changes.
The Relationship between the English Self-Efficacy Perception and English Knowledge Level of Dentistry Students
Authors: ÖZKAL EMİNOĞLU Didem , AYDIN Tuğba , DOĞAN Didar Betül
Published: December 2022

Purpose: The purpose of this study is to determine the English self-efficacy beliefs and English knowledge levels of dentistry faculty students. Material and Method: The research was carried out with students studying at Atatürk University Faculty of Dentistry. In order to collect data in the study, an information form questioning the demographic information of individuals, their attendance at English preparatory class and their parents’ knowledge of English was given. The “English Self-Efficacy Belief Scale” was used to determine the students’ perceptions of English self-efficacy. In order to determine the level of English knowledge of the students, a test prepared using the questions asked in the YÖK-DİL exam held in March 2020 by ÖSYM was provided. The average number of true and false answers in 23 questions directed to individuals was calculated. IBM SPSS 25.0 program was preferred for statistical analysis. The level of significance was accepted as p