bluuebunny/crossref_metadata_2025 huggingface dataset:
COMPARISON OF A NOVEL BIODEGRADABLE STENT MAGMARIS WITH DRUG ELUTING RESOLUTE ONYX STENT: SAFETY AND 12 MONTH OUTCOMES
Authors: ALIMBAEV K.S. , ARIPOV M.A. , GONCHAROV A.Y. , KALIYEV B.B. , AINABEKOVA B.A.
Published: November 2023

stent implantation is effective method of overcome critical vessel narrowing and restore normal flowing of blood in affected ones in patients with сoronary artery disease. Using biodegradable stent platform was the next step of treatment evolution and innovative idea for reducing complication. Purpose of the study: : to determine and compare the efficacy, safety and outcomes of implantation of a biodegradable Magmaris and drug eluting Resolute Onyx stent in patients with сoronary artery disease in 12-month follow-up. Material and methods: The single-center prospective study included 50 patients with coronary heart disease who underwent stent implantation (Magmaris, main group – 25 patient, Resolute Onyx, control group - 25 patient). Inclusion criteria: verified coronary artery lesion by angiographic method, signed voluntary informed consent of the patient to participate in the study. The exclusion criteria: the presence of chronic occlusion of the coronary vessel, calcification, acute myocardial infarction, restenosis of a previously implanted stent. Results: after stent implantation there were statistically approved positive dynamic both in severity of angina pectoris signs and in severity of heart failure (p=0.002 and p=0.012 respectively). Evidence of the first endpoints was only in Resolute Onyx group where in 1 case occurred stroke after 12 month of implantation (n=1, p=0.625). Death and myocardial infarction were not recorded. Two patient developed restenosis (8%) after stenting in main group (p=0.422), thrombosis was documented in both groups: one case after Magmaris and two cases after Resolute Onyx implantations (p=0.512). Conclusion: using of biodegradable Magmaris and drug eluting Resolute Onyx stents demonstrated good clinical effects and comparable efficacy and safety in patients with сoronary artery disease in 12-month follow-up.
Towards the intermolecular force in charged AdS black hole
Authors: Hoang Van Quyet , Tran Huu Phat , Nguyen Tuan Anh
Published: November 2023

In this paper we attempt to find the intermolecular force of charged AdS black holes (BH). We first write the equation of state of BH in the form of the van der Waals (vdW) equation and show that this equation describes accurately the BH phase transition. Based on the Lennard- Jones (LJ) potential we establish the modified LJ force which is compatible with this vdW equation. Of particular interest, in the first time we find that this force can be always written as the sum of the topological force, created by the topological charge, and the electrostatic force, created by charged conducting micro-sphere with definite radius. Then the phase transition of BH is totally controlled by these forces. In the process of phase transition from small to large BHs the sum of these forces changes from repulsive to attractive forces and this behavior is supported by the scalar curvature of the thermodynamic geometry. Combining these properties, we arrive at the physical picture of the BH molecules: they behave like charged conducting micro-spheres which bear topological charge. It necessarily to remark that although our intermolecular force is better than the one obtained recently in [29], it remains an approximate force.
Release Pattern of Nitrogen and Potassium from Controlled Release Fertilizer (CRF) in the Soil
Authors: Suwardi Suwardi , Suryaningtyas Dyah Tjahyandari , Saputra Hens , Rosjidi Mochamad , Mustafa Anwar , Ghofar Abdul
Published: November 2023

Nitrogen (N) and potassium (K) are macronutrients that plants need for better growth and yield. However, they are readily lost from the soil through volatilization, denitrification, and leaching, aside from being absorbed by plant roots. Thus, a Controlled Release Fertilizer (CRF) may be formulated and applied to maximize the beneficial effects of N and K fertilization. This study aimed to describe the release pattern of ammonium nitrogen (NH4 -N), nitrate nitrogen (NO3 -N), and K from CRF through the laboratory incubation method. Two types of CRF - CRF A (16-16-16) and CRF B (30-6-8), with a non-CRF (Mutiara NPK16-16-16) as Control – were used. Each fertilizer was tested at 600 and 1200 kg ha-1 doses. The results showed that the NH4 -N release was very high at 40 – 60% but declined to almost 0% after 14 weeks. The NO3 -N release rate was 17 – 40% during the first week, followed by a steady increase to nearly 100% by the 14th incubation week. Potassium release ranged from 20% to 30% in the first week, then rose to 30 – 70% at Week 14. Overall, CRF (30-6-8) at a dose of 1200 kg ha-1 showed the slowest rate of nitrogen release.
A Novel Method for Validating Addresses Using String Distance Metrics
Authors:   Department of Computer Engineering, Brahma Valley College of Engineering and Research Institute, Nashik, India
Published: November 2023

Address validation is vital since it confirms the quality and geographical precision of addresses used by organizations that rely on location-dependent and delivery-based services. Suppose addresses need to be thoroughly checked in advance. In that case, there may be difficulties with them, such as missing components or geographical deficiencies, which may lead to severe problems with logistics. When doing address validation, discovering missing or incorrect address components is a beneficial aspect in minimizing the likelihood of service problems while saving time and money for organizations. When it comes to addressing validation, using statistical metrics like correlation coefficients and measures of central tendency has been discovered to have a significant amount of untapped potential. In order to obtain a normalized score that is based on statistical similarities, the approach that is suggested in this study makes use of a mixture of several string-matching metrics. This score may then be used to exclude authenticated addresses based on the needed minimum level of similarity, which can be calculated. Experiments have been carried out on a healthcare dataset taken from the actual world to show the efficacy of the suggested method in terms of accuracy and precision.
Research and Evaluation of Electric Vehicle Charging Station Layout Planning Based on Greedy Algorithm
Authors: Yu Chenyang , Chen Mingyan , Lu Haipeng , Yuan Zijing , Fang Ting
Published: November 2023

Currently, the prospects for the development of electric vehicles are broad, and various technologies related to electric vehicles have become hot topics in domestic and international research. The layout of charging stations directly affects the promotion and application of new energy vehicles. In response to the problem of "more vehicles, fewer charging stations," this paper takes specific data from a city as an example, converts the problem into a simplified minimum spanning tree model to determine the routing algorithm, and uses a greedy algorithm to obtain a locally optimal solution to determine the optimal site selection plan with the fewest charging stations overall. At the same time, a multivariate linear programming model is established and solved using Lingo software to obtain the optimal construction plan for each charging station. A queuing algorithm is used to establish a mathematical model, and MATLAB software is used for simulation to simulate the queuing and operation situation of one charging station in a day, thereby we propose a solution to the current problem of uneven spatial distribution and low utilization of new energy vehicle charging stations.
Research on Social Stability Based on PCA Analysis and Logistic Regression
Authors: Xiong Weiming , Han Xiangyu , Tang Yucheng
Published: November 2023

This paper investigates a series of regime change movements named after colors that occurred in the CIS and Central Asian regions in the early 21st century, conducted in peaceful and non-violent manners. Firstly, this study collects nine highly representative warning indicators in three aspects: "politics, economy, education," and assigns names to the three main components as "political indicators, economic indicators, cultural indicators" through principal component analysis, thereby constructing an indicator system affecting social stability. Secondly, stepwise regression analysis is used to screen out the significantly influential warning indicators on whether society is turbulent and a logistic model for social turbulence warning is constructed. Finally, relevant suggestions are once again offered in the three aspects of "politics, economy, education," providing effective resolution strategies for policy makers. The study concludes that the warning model of turbulence rate is related to the unemployment rate and the proportion of account balance, so the relevant departments need to timely adjust the unemployment rate and the proportion of account balance to maintain the safety level of social turbulence rate with the greatest efficiency.
An Integrated Learning-Based Prediction Model for Purchasing Propensity of Jingdong Visitors
Authors: Liu Yizheng , Zhang Hengkui , Ren Hangjun
Published: November 2023

The detection of purchasing behaviour of consumer customers belongs to the classical machine learning binary classification problem, which requires the use of a new dataset after downsampling to build a machine learning model and the selection of parameters for the visual display of the model.In this paper, we first performed data cleaning and pre-processing of the data, explored the complexity, non-linearity and other properties of the original data, performed logarithmic transformation and normalisation of the data pre-processing, and then selected the data features, established multiple machine learning models for modelling, adjusted the parameters using cross-validation and grid tuning, further optimised the models, calculated the evaluation metrics of the models, and compared the models, and finally used cross-validation and grid tuning to adjust parameters, further optimise the models, and calculate evaluation metrics of the models. The models were compared and finally the selected models were integrated using the Stacking method. Then the probability calibration was performed and the models were interpreted using SHAP values and PDP plots. This paper also adopts a rich visualisation approach for data and model presentation during data processing and modelling.
A Random Forest-Based Word Difficulty Prediction Model
Authors: Xi Chenye , Chen Gong
Published: November 2023

The aim of this paper is to analyse the relationship between the word of the day and the corresponding distribution of the number of attempts in the Wordle game and to give a prediction method for the proportional distribution of word attempts. Firstly, the paper preprocesses the data provided by Question C of the 2023 American Collegiate Mathematical Modelling Competition. By constructing a model, this paper quantifies the word information entropy and people's preference for choosing common letters. Considering the above features and the influence of previous attempts on the follow-up, this paper constructs a regression model to verify the correlation between the word composition features and the distribution of the number of attempts. Meanwhile, considering the subjectivity of feature selection, this paper constructs a random forest model for further analysis. Comparing the results of the model analysis, the random forest model fits better, and the proportion of word EERIE attempts from 1 to 7 is 0%, 1.97%, 15.99%, 36.31%, 29.83%, 13.34%, and 2.24% respectively . This paper provides a theoretical basis for predicting the number of attempts of the corresponding words, which helps Wordle to optimally adjust the lexicon.
About the Impact of Probability and Statistics on Modern Life
Authors: Pan Huayao
Published: November 2023

To study probability and statistics to see how they are used in modern life. In this paper, I use the method of examples and column data to discuss the application of probability and statistics in daily life, and research shows that it is of great help to modern life. Finally, we draw the conclusion that probability and statistics are important methods in modern times.
Research on the Application of Statistical Technology in Biomedical Information Data Processing Based on Data Science
Authors: Yang Xinyi
Published: November 2023

This paper shows various methods in the field of biomedical research. The correlation between data exploration and statistics in biomedicine. This paper describes the process of data acquisition in the field of biomedicine, and summarizes several common algorithms in data acquisition. Then a method based on fuzzy clustering is proposed for biomedical data analysis. Compared with the traditional Bayesian model, this model has higher efficiency.
The Application of Data Analysis in A Web-Based Word Game: Worldle
Authors: Zhu Zien
Published: November 2023

We will analyze the game Worldle based on its data in 2022. First, we use the EEMD Model to analyze the trend of the number of players over time in this year.We need to forecast the number of players in the next 60 days and reduce the prediction error, we use the Moving Average and build Rolling Window to reduce the forecast error. We use both LSTM model and EEMD-LSTM for training and comparing the effects of the two and find EEMD-based LSTM model is better. Then, we come up with several properties of the solution words that we think would affect the difficulty of the puzzle, and after Correlation Analysis, we find that this is indeed the case and give some explanations. Second, we mainly use Deep Learning. To predict the associated percentages of (1, 2, 3, 4, 5, 6, X) for a given future solution word on a future date, we use a Genetic Algorithm and Back Propagation Neural Network (GA-BP Neural Network) to analyze the percentage distribution of given words. After that, the distribution of the number of answers for the example can be obtained by prediction as (1.1831,6.2839,21.3307,28.6500,24.7627,14.7354,3.8857). Third, how difficult is it to guess a word correctly? For this problem, we use a method belonging to Machine Learning - PSO Decision Trees. Before this, our group first used RSR and the Pearson Correlation Coefficient to divide the difficulty level of words.
Traffic Speed Prediction Method Based on Spatiotemporal Sampling and LSTM
Authors: Zhang Jiazhao , Zhang Yuanjian , Gao Xinyun
Published: November 2023

Accurate prediction of traffic speed is crucial for traffic management and planning. In order to solve the problems of low prediction efficiency of previous traffic speed prediction models and easy neglect of spatiotemporal characteristics, a traffic speed prediction method based on spatiotemporal sampling and LSTM model is proposed based on the 24-hour driving dataset of 4,000 taxis in Shanghai, and draw speed heat maps in different regions at different times to visualize the spatiotemporal characteristics of traffic speed. Experimental results show that the model has high prediction accuracy and good expansion potential.
An Exploration of Wordle Game Data and Player Behavioural Habits Based on Time Series and GBDT Models
Authors: Lu Yao , Yu Xue , Gu Yuqing
Published: November 2023

The focus of the whole problem is to explore interesting characteristics of Wordle’ players’ behavior data over the year. In order to explain the daily variation in reported results and to explore whether lexical attributes affect the percentage of scores in the difficult mode, this paper introduced a time series model for specific predictions, finally coming to the conclusion that there is a significant correlation between tries in hard mode and commonness, while there is no significant correlation directly with the number of repeated letters. In addition, based on previous research, a model was developed to predict the distribution of reported results for games at future dates. This paper introduced the prediction model based on Gradient Boosted Tree (GBDT) and carried out specific training, where the training accuracy reached more than 95%. The models are conducive to understanding the development trend of wordle games and players’ game habits, and to providing better game suggestions for game developers.
Research on the Impact of the Olympic Games Based on AHP and EWM
Authors: Wan Yunchen , Zhang Yiqing , Zhao Jiayi
Published: November 2023

In the face of the fierce competition for the right to host the Olympic Games, which is slowly diminishing, it is important to show the world the various impacts of hosting the Olympic Games to get out of the difficult situation and succeed a model is established. To solve this model, the most important Olympics Impact Measurement Model was first established. The Analytic Hierarchy Process Method and Entropy Weight Method were used to determine the weights of the main aspects and each small indicator, which were then used to derive corresponding indicators for the Summer and Winter Olympic Games. In both cases, the secondary indexes for sorting were economy, social psychology, and construction. The tertiary indicator with the highest weight was broadcasting revenue, while sponsorship revenue and tourism revenue followed closely. These indicators were found to be most effective in measuring the impact of hosting the Olympic Games. Overall, this model presents a comprehensive approach to measuring the impact of hosting the Olympic Games and provides a valuable tool for countries looking to secure the right to host this globally acclaimed event.
Construction of the Evaluation System of Livelihood Indicators Based on Entropy Weight-TOPSIS
Authors: Zang Zilin , Zhang Jiayi , Wang Yujie , Yuan Xu
Published: November 2023

The construction of China's modernisation and the improvement of people's livelihood have become important issues for us to build a harmonious society; this paper makes a comprehensive evaluation of people's livelihood development level by constructing an entropy TOPSIS model. Firstly, combining the new features of development in the modernisation process, relevant indicators are constructed from culture and education, employment and income, health and medical care, society and security, housing and transportation. Then, after pre-processing the data of each indicator, the indicators with high correlation degree are screened out by grey correlation, and then the entropy weighting method is applied to assign weights to the criterion layer and the number of indicator layers. Based on the weights, a weighted target decision matrix is constructed to assess the level of livelihood development; finally, it is concluded that the national livelihood development index has been steadily increasing. It increased from 0.084 in 2013 to 0.085 in 2021. In the constructed evaluation system, the development weight of employment and income accounted for 16.9% of the secondary indicators, and the country needs to focus on employment and income issues.
Vision-Based SLAM for Uavs in Dynamic Environments
Authors: Huang Pingrui
Published: November 2023

Visual SLAM (Simultaneous Localization And Mapping) is a technique mainly used for robot navigation and positioning. It uses vision sensors to map the environment and estimate its own location. In dynamic environment, they are inevitably affected by dynamic objects, which leads to the decrease of accuracy and stability of the system. In this paper, the visual odometer in SLAM system is studied, and the semi-direct visual odometer (SVO) algorithm is improved on the basis of ORB-SLAM framework. The basic principle of the algorithm is to treat pixel matching between adjacent image frames as an optimization problem, and use direct registration method to obtain camera pose for sparse feature blocks, avoiding a lot of feature extraction and matching. When a key frame appears, ORB (Oriented FAST and Rotated BRIEF) features of the image are extracted, and feature matching is used to track local maps to obtain more mapping relationships. Moreover, camera pose and three-dimensional structure of the scene are estimated by minimizing reprojection errors, thus improving positioning accuracy and map construction quality. Finally, experiments on several public data sets show that the improved semi-direct visual odometer scheme in this paper still has good robustness to moving objects in dynamic scenes. While maintaining high accuracy, it obtains better real-time performance by tracking visual feature points.
Analysis of influencing factors of carbon sequestration based on BP neural network and clustering decision tree model
Authors: Yang Xinlin , Ma Ying
Published: November 2023

Global warming poses a serious threat to life on Earth, carbon sequestration technologies can mitigate its negative effects. In order to optimize the effect of carbon sequestration, firstly, this paper develops a model using BP neural network to determine what forest management plan is the most effective one at sequestering carbon dioxide. On the basis, the best way of using forest is obtained by using the decision tree model, and then we used K-means cluster analysis algorithm combined with confidence intervals andorigin, determined the transition points of different management areas.
Research on Multi Scenario User Charging Behavior Habit Model Based on LSTM Driven by Historical Data
Authors: Yang Rui , Wang Tuo , Wang Ruiqi , Yan Peng , Huang Lin , Zheng Yong
Published: November 2023

Under the advocacy of low-carbon and environmental protection, electric vehicles have ushered in rapid development, and the following user charging problems also need to be considered. The consistency of charging stations makes the charging power the same, resulting in different charging efficiencies of different electric vehicles. Based on this, this paper proposes a multi-scenario user charging behavior habit model based on LSTM driven by historical data, which predicts the charging habits of different electric vehicle users, and provides better support for the subsequent multi-charging power allocation strategy. Finally, the data simulation results show that the model and method can more accurately predict the user's charging behavior.
A segmented, graph-optimized segmentation that positions and plots at the same time
Authors: Niu Qinyu , Zhao Yong , Li Meifan
Published: November 2023

Aiming at the process of simultaneous positioning and mapping (SLAM) of traditional lidar, the lidar scanning frame only matches the current submap, and with the continuous increase of submaps, the error continues to accumulate, resulting in problems such as the global map cannot be closed loop, and the global map distortion is proposed. According to the IMU angular velocity data, when the IMU angular displacement changes greatly, the system will reduce the trust value of the IMU data at this time according to the dynamic weight distribution coefficient, and use this moment as the starting point of the segment, reconstruct the local subgraph, and add loopback constraints to it. The next frame of radar data is used as the initial pose to construct the local submap again, cycle through it in turn, and finally optimize each local submap to build a complete map by means of global map optimization. After experimental verification, the algorithm can effectively improve the distortion of the global map caused by the excessive rotation angle, which is of practical significance.
Existence of Solutions for a Class of Nonlinear Convolution Integral Equations
Authors: Lin Yufeng , He Jiawen
Published: November 2023

The existence, uniqueness, boundedness and monotonicity of solutions for a class of nonlinear convolutional integral equations are discussed. First, the problem of solving the equation is transformed into a fixed-point problem of an operator. Then, Arzela – Ascoli theorem and Schauder fixed point theorem are used to prove the existence of the solution. Then, Gronwall inequality and its related lemma are used to prove the uniqueness of the solution. Secondly, the sufficient and necessary conditions for boundedness of nonnegative solutions are given by using the supremum principle and Weierstrass aggregation point theorem. Finally, under given conditions, the monotonicity of the nonnegative solution is discussed, which extends the existing results.
The relationship between stockholder sentiment lag and stock price prediction accuracy: an empirical analysis based on LSTM and Transformer models
Authors: Guo Haoqian , Xu Yuxin
Published: November 2023

This comprehensive paper investigates the nuanced relationship between retail investor sentiment and stock prices in the Chinese stock market, with a special focus on the role of sentiment time lags. Using advanced time-series models, specifically Long Short-Term Memory (LSTM) and Transformer models, the study takes a detailed look at the stock price of Oriental Finance (Ticker: 300059A). The research employs varying time lags of stockholder sentiment (ranging from 0 to 4 days) as well as technical indicators to predict stock prices. Our experimental design involves comparative analysis under these two models to isolate the impact of sentiment time lags on prediction accuracy. The results reveal that the LSTM model consistently outperforms the Transformer model, particularly when a 4-day lag in stockholder sentiment is considered. Interestingly, the prediction accuracy did not uniformly improve with increased sentiment lags, suggesting a complex relationship between investor sentiment and stock prices.
Functional Data Regression Based on KLRFSIR and Bayesian Model Averaging
Authors: Mo Longhui , Xi Huajun , Ding Yi
Published: November 2023

This paper focuses on an important direction in modern data analysis: functional data regression. Functional data is typically infinite-dimensional, and this paper specifically examines the case where the predictor variable is functional data and the response variable is a continuous scalar. Based on this, the paper propose a regression method that combines kernel localized and regularized functional sliced inverse regression with Bayesian model averaging. The innovation of this method lies in two aspects: firstly, compared to traditional sliced inverse regression, it captures more detailed local information through kernel clustering, providing better estimates of the reduced subspace when the number of slices is small; secondly, model averaging effectively balances the bias and variance of the prediction model, avoiding overfitting or underfitting issues. Empirical results show that the proposed method has smaller errors in terms of mean squared error and absolute error compared to some classical methods, and it demonstrates a certain level of robustness. Finally, this paper explore the potential application of the kernel clustering concept in other dimension reduction approaches based on covariance.
Prediction of Second-Hand Sailboat Prices Based on GA-BP Model
Authors: Xiao Kaiyan , Pan Huatai , Zheng Shuo
Published: November 2023

Second-hand sailboats now have a huge market worldwide. Accurate prediction of second-hand sailboat prices is of great significance for reducing market opacity, protecting consumer rights and improving social and economic benefits. In order to achieve accurate prediction of second-hand sailboat prices, genetic algorithm was used to optimize the parameters of the BP neural network and a GA-BP network model was constructed. The experiment shows that the prediction result of the GA-BP model for catamarans has a  value of , which is significantly improved compared to the BP neural network.
Research on automatic vegetable pricing and replenishment decision-making based on improved ant colony algorithm
Authors: Wang Zihao , Mu Kehang , Ma Yuhan
Published: November 2023

In daily life, vegetable products have a short shelf life and a high perishability rate. As time goes by, their quality will deteriorate and cause waste. Therefore, in order to maximize benefits and reduce waste, the ant colony algorithm and ARIMA are combined The prediction model was combined and optimized, and the Ant Colony-ARIMA prediction model was established, and the relevant data of the sales flow details and wholesale prices of each commodity in a supermarket from July 1, 2020 to June 30, 2023 were used for training, optimization and prediction. Analyze and compare with various data from June 24, 2023 to June 30, 2023. The results show that the average relative errors of sales and pricing of the Ant Colony-ARIMA model are lower than the actual ones, indicating that the established Ant Colony-ARIMA model can accurately predict sales and pricing, and provide a high-quality solution for supermarkets and merchants. Accurate prediction method.
Merchandise replenishment and pricing decisions based on time series model forecasting and log-linear analysis with split logarithms
Authors: Qiu Haiyang
Published: November 2023

In this paper, in the process of researching the replenishment and pricing decisions of vegetable products, we use the Spearman model and log-linear analysis with logarithms to determine the correlation between individual vegetable products and categories, and analyze the relationship between the total amount of sales of each vegetable category and the cost-plus pricing, and then build a time-series model to fit the prediction to get the daily replenishment and pricing strategy for the coming week. Then a time series model is fitted to predict the daily replenishment and pricing strategy for the coming week. In this paper, based on the model of Spearman's correlation coefficient calculation, we set up a log-linear analysis model with logarithmic scores, and use MATLAB to calculate the correlation coefficients of each type of vegetables, and find that the total sales volume of each type of vegetables has a strong correlation with the cost-plus pricing and a high degree of fit. Then we establish ARIMA model in time series model to fit the time with the sales volume, cost and pricing of vegetables respectively, and predict the sales volume, cost- and cost-plus pricing in the coming week after passing the white noise test to get the total daily replenishment and pricing strategy.
Research on replenishment decision of vegetable commodities based on genetic algorithm
Authors: Feng Ruohan , Zhu Huacheng , Zhang Luyao , Song Yiping
Published: November 2023

Fresh produce superstores, are an important component of the modern economy, however, they face multiple challenges in vegetable merchandise management, including how to forecast accurate sales trends, develop reasonable pricing strategies, and effective replenishment programs. Therefore, this study aims to provide a comprehensive set of vegetable merchandising strategies for superstores to help them better solve their problems. Firstly, this paper constructs an integrated fitting model to fit a polynomial function to each single vegetable item; secondly, taking amaranth as an example, it constructs an image of the parameters of the amaranth fitting function; based on the ARIMA model of various categories of vegetable demand and wholesale price prediction, it solves the amaranth demand using the ARIMA model, and uses the hyper-parameter optimization to obtain the model with the smallest BIC value; it establishes the ARIMA (5,1,6) model and forecast the demand for the next seven periods, with the objective of maximizing the revenue of the superstore, establish a linear programming model (LP), constraints, and solve the model based on genetic algorithm.
Penguatan Pemasaran Dan Branding Produk Telur Asin Di Desa Baha Kecamatan Mengwi Kabupaten Badung
Authors: Pulawan I Made , Widari Dewa Ayu Niti , ErnaTrisnadewi A.A. Avu
Published: November 2023

Abstract

 

The MSME sector is expected to be able to become a new source of strength for the national economy in facing the crisis. To become a new force in the economic sector, the government should pay attention to human resources and management. It is felt that innovation from the average MSME is still minimal so that MSME businesses often run in place. One of the villages targeted for PKM activities is the salted egg business group in Baha Village, Mengwi-Badung District. The problem faced by partners is that it is difficult to develop the business. These include lack of promotion, not yet using online marketing, and not keeping bookkeeping records related to costs incurred. has been issued and in running the business the partner runs the business in a family manner. The results of the service show an increase in partners' understanding regarding good financial management, calculating the cost of goods sold in an effort to optimize profits that will be generated and the use of social media in business promotion, because this will have an impact on business sustainability.
Foreword 125-1 - In memory of Maurizio Gaetani
Authors: Angiolini Lucia , Berra Fabrizio
Published: November 2023

The first issue of volume 125 (2019) of Rivista Italiana di Paleontologia e Stratigrafia is dedicated to the memory of Maurizio Gaetani (1940-2017), world-renowned Professor of Geology and Stratigraphy at the University of Milan, to honour his fruitful life of research and his grandeur as a man, a friend, a mentor and an Editor of this journal.
STRATIGRAFIA E SEDIMENTOLOGIA DEI "CALCARI E MARNE A RHAETAVICULA CONTORTA AUCTT. (NORICO-RETICO) DELLA TOSCANA NORD-OCCIDENTALE - NUOVA SUDDIVISIONE FORMAZIONALE
Authors: FAZZUOLI MILVIO , FOIS ELISABETTA , TURI ALESSANDRO
Published: November 2023

Nine sections from the "Limestones and marls with Rhaetavicula contorta" Auctt. (Norian-Rhaetian) of the Tuscan Nappe in eastern Liguria and northwestern Tuscany, have been examined for their stratigraphic and sedimentological characteristics. The results obtained have been integrated with data pertaining to the previously studied Pania di Corfino section.

Two formations were identified and studied in detail: that of Pania di Corfino and that of La Spezia.

Where present, the Pania di Corfino Formation accounts for the lower portion of the sections. It consists mainly of thick beds and massive layers of dolomites, dolomitic limestones and limestones. Thinly-bedded dark limestones appear less frequently, while layers rich in clay are rare. The top of the formation is surely of Rhaetian age, in some sections, as indicated by the presence of Triasina hantkeni Majzon; in the others, it is Norian-Rhaetian. The age of the bottom portion can be regarded as Norian-Rhaetian in all the sections; the presence of considerably thick deposits beneath the established Rhaetian layers in some sections, however, suggests an Early Rhaetian or even Late Norian age.

The depositional environment of the Pania di Corfino Formation may be envisaged as an epicontinental carbonate platform with predominantly restricted water circulation on which fine carbonate sediments are deposited beneath the wave base; features suggesting a tidal flat are rare. The environment of deposition was, for brief periods only, that of a platform with open circulation in which the effects of wave-motion were prominent; features strictly relatable to a true platform edge have not been found.
UNA SEQUENZA PALINOLOGICA DI ETA' RUSCINIANA NEI SEDIMENTI LACUSTRI BASALI DEL BACINO DI AULLA-OLIVOLA (VAL DI MAGRA)
Authors: BERTOLDI REMO
Published: November 2023

Palynological investigations were carried out on the basal sediments of the Aulla-Olivola basin, precisely on the Aulla lacustrine deposit, which underlies by about 200 m, both stratigraphically and geometricall", the Olivola village, known for its famous Villafranchian fauna.

This research has revealed;

a very rich palynoflora and a long, complex, vegetational succession. dominated by arboreal formations, with high abundance of exotic taxa, including also tropical-subtropical elements;

a climatic Sequence characterized by oscillations reflecting seasonality, especially in pluvial regime. A most evident climatic change occurs in the middle of the sequence.

Moreover, the palynological sequence made it possible:

to assign the examined sequence to the Pliocene, because of the abundance of "Tertiary" elements (Taxodium-type, Sciadopitys, Sequoia-type, Nyssa, Palmae, etc.);

to-ascertain the rather archaic character of the Aulla pollenflora because of the significant occurrence Of pollen assemblages mainly confined to pre-Pliocene and early Pliocene (Symplocos, Sapotaceae, Clethraceae/Cyrillaceae-type, Magnolia-type, Sapindaceae- type, Sterculiaceae, cfr. Castanopsis, Tricolporopollenites sp. of archaic-type, etc.);

to compare the Aulla pollenflora with Other Pliocene pollen microfloras from Italy and Other areas and to evidence affinities and differences.

From these comparisons it appears clearly that the Aulla lacustrine episode represents the most ancient continental Pliocene deposit discovered in Italy by means of pollen analyses so far. In fact, the palynological and climatic features indicate that the pollen sequence of Aulla is certainly older than the establishement of glacial/interglacial climatic cycles in the Northern Hemisphere (—2,5 Ma). Also the Villafranca d'Asti deposit (Early Villafranchian in age) is older than 2,5 Ma on the base of the paleomagnetic data. But the pollen floras of Villafranca d'Asti (Fornace R.D.B.) do not include the pre- Pliocene and early Pliocene elements, which characterize the Aulla pollen records.

All these considerations lead to Suggest an older chronostratigraphic collocation of the Aulla sequence, most likely in a pre-Vilafranchian interval, i.e., in the Ruscinian stage interval. The large floristic affinities with the pollen zones of the Brunssumian of the Netherlands, entirely included in the Ruscinian stage, and also the pollen affinities with the continental middle-Pliocene western-alpine deposits support the chronostratigraphical assignation of the Aulla deposit to a (probably late) Ruscinian phase.

Finally, the pollen record of Aulla represents a particular uniform floristic biozone, which is named here "Macrian" phase, easily distinguished from the contiguous vegetational biozones.

The results reported above allow to extend the chronostratigraphic scheme of the paleofloristic evolution in Northern-Central Italy during the Pliocene.
MICROFACIES AND SPHINCTOZOAN ASSEMBLAGE OF SOME LOWER PERMIAN BRECCIAS FROM THE LERCARA FORMATION (SICILY)
Authors: SENOWBARI-DARYAN BABA , DI STEFANO PIETRO
Published: November 2023

Some paleozoic calcareous blocks characterized by a rich fossil association, never described before, have been found as elements of the breccias resedimented in the siliciclastic deposits of the Lercara Formation (Western Sicily). These blocks occur in the Cozzo Intronata area (Lercara) and along the River San Filippo (Roccapalumba) mixed with the already known ?Carboniferous calcareous breccias with productid.

The sponge-Tubiphytes boundstone and the algal foraminiferal grainstone/packstone are the two main lithofacies types of these new discovered elements. Their Lower Permian age is supported by fusulinids and algae. They probably derived from the dismantling of a carbonate platform margin.

The present paper, besides describing the sedimentological and paleontological features of these deposits, is particularly devoted to the systematic study of the sphinctozoan sponges that played an important role as framebuilder organisms of the reef limestones together with the abundant inozoans.

10 species are here described. Girtyocoelia beedei (Girty) and Sollasia ostiolata Steinmann are the most frequent species. Other species are rare. A new genus (Parauvanella) and a new species (Cystauletes lercarensis) are introduced.
NUOVI CONTRIBUTI PER L'INTERPRETAZIONE GEOLOGICA E PALEOGEOGRAFICA DELLE PREALPI GIULIE (FRIULI ORIENTALE): IL POZZO SPAN 1
Authors: SARTORIO DARIO , TUNIS GIORGIO , VENTURINI SANDRO
Published: November 2023

This paper deals with the stratigraphy of well SPAN 1 (San Pietro al Natisone, Eastern Friuli). The stratigraphic sequence is composed by Paleocenic flysch deposits (from 69 m to 748 m), Maastrichtian resedimented carbonates (from 748 m to 940 m) and Late Jurassic reef deposits (from 940 m to 1397 m, total depth). The tectonic and sedimentary evolution of the Valle del Natisone, from the Oxfordian to the Early Eocene, is outlined.
BIOSTRATIGRAFIA E PALEOGEOGRAFIA DELL'AREA SUD-OCCIDENTALE DELL'ANTICLINALE M. MIA - M. MATAJUR (PREALPI GIULIE)
Authors: PIRINI RADRIZZANI CAMILLA , TUNIS GIORGIO , VENTURINI SANDRO
Published: November 2023

he aim of this work is the stratigraphic revision of the sequences outcropping on the southwestern side of the M. Mia — M. Matajur anticline. This area, until now, was poorly studied from a geological point of view. Norian to Lower Cuisian strata were recognized, With two hiatuses in the Early and Late Cretaceous. Lithological, biostratigraphical and sedimentological characteristics are described related to formations already known from the bibliography ("Dolomia Principale", "Calcare del Dachstein" and "Calcare di Soccher") while two new Mesozoic carbonatic units are defined; ' 'Calcari della Fornace" (Lower Liassic—Tithonian) and "Calcareniti di Linder" (Berriasian—Albian). Furthermore several new informal units within the clastic Sequences are differentiated: six Maastrichtian units C 'BrecCia di Montefosca", "Marne Rosse di S. Andrea", "Flysch di Paceida", "Calcareniti di Mersino", "Flysch di M. Brieka" and "Calcareniti di M. Tomba"), three Paleocenic units ("Flysch di Calla", "Flysch di Masarolis" and "Megastrato di M. loanaz"), one Paleocenic—Eocenic unit ("Flysch di Canebola").
SULL'ETÀ TERZIARIA DEI CALCARI Dl UBAGA, SUCCESSIONE Dl BORGHETTO D'ARROSCIA-ALASSIO (ALPI MARITTIME)
Authors: Dl GIULIO ANDREA
Published: November 2023

The Borghetto d' Arroscia sequence is constituted by three turbiditic formations; the age of the different units is difficult to determine both because of scarsness of paleontological data and of their uncertain interpretation. Particularly the presence of lower cenozoic foraminifera in the Ubaga Limestones is debated. The discovery, in the studied section, of paleocenic—lower eocenic Morozovella allows now to state the Iower cenozoic age of the whole calcareous formation.
SHORT NOTES ON THE SHIMSHAL VALLEY GEOLOGY (WESTERN KARAKORUM-PAKISTAN)
Authors: CASNEDI R. , NICORA A.
Published: November 2023

A geological reconnaissance carried out during Summer 1982 along the lower and middle Shimshal Valley allows to identify some lithostratigraphic units madc up of slates (shaly and sandy deep— sea turbidites), shelf limestones and dolomites. The Upper Paleozoic age of some fossiliferous limestones is well documented. Ultrabasic dykes discordant to both bedding and cleavage intruded slates and dolomites.
REMARKS ON THE SCYTHIAN-ANISIAN BOUNDARY
Authors: YI—GANG WANG,
Published: November 2023

Different definitions of the Scythian—Anisian boundary are discussed. Based on taxa and sequence of Keyserlingites faunas at 19 Boreal localities and 6 Tethyan localities, Keyserlingites faunas are considered to be Late Sparhian in the Boreal province and Early Anisian in the Tethyan province. Keyserislingites not appropriate for cosmopolitan zoning. The base of Lenotropites—Japonites zone of Central Qinghai, China appears to indicate base Middle Triassic: it has abundant earliest Anisian ammonite faunas of mixed Boreal—Tethyan character (ecotone) providing direct correlation between these provinces.

Correlations of Anisian (Aegean), Spathian and the Anisian—Scythian boundary are made between different localities, particularly between the Tethyan and Boreal provinces and between basin and platform facies. Olenikites zone is coeval to Subcolumbites zone; Lenotropites caurus zone to Lenotropites—Japonites zone; Columbites zone to Tirolites cassianus zone;and Subcolumbites zone to Tirolites carniolicus zone.

Scythian—Anisian mixed faunas and stratigraphic condensation are also discussed.
NEW' DATA ON PLANKTONIC FORAMINIFERA BIOSTRATIGRAPHY FROM THE NEOGENE OF THE GARGANO PENINSULA (FOGGIA, SOUTHERN ITALY)
Authors: GIGLIOLA VALLERI
Published: November 2023

This paper concerns detailed analyses on planktonic foraminifera biostratigraphy of a section outcropping in the area of Poggio Imperiale, the western side of Gargano (FG)

The sediments  overlying the mesozoic carbonate platform have been assigned to Globorotalia puncticulata Zone (Early Pliocene) and to Globorotalia inflata Zone (Late Pliocene). A Middle Pliocene stratigraphic gap has been recognised.
IL ROSSO AMMONITICO INFERIORE (BAIOCIANO - CALLOVIANO) NEI MONTI LESSINI SETTENTRIONALI (VERONA)
Authors: CLARI P. A. , MARINI P. , PASTORINI M. , PAVIA G.
Published: November 2023

The aim of this paper is the description, from both the biostratigraphical and sedimen• tological point of view, Of the lower member of the Rosso Ammonitico Veronese, one of the most known red, nodular, pelagic limestones of the mediterranean Jurassic.

The R.A.V. is a condensed sequence Of red, mostly nodular, limestones, Often rich in internal molds Of ammonites, which is areally restricted to the "Trento Ridge", a structural high isolated in the early Jurassic by the rifting Of a Triassic, large epicontinental carbonate—platform. It spans in age from late Bajocian to Tithonian and is separated from the underlying shallow—water carbonates Of Liassic and Aalenian age by a sharp break in sedimentation, underlined by a mineralized hard ground, which lasted for all early and middle Bajocian.

Two members may bc recognized in the R.A.V.: a lower (Rosso Ammonitico Inferiore) and an upper one (Rosso Ammonitico Superiore) separated by a stratigraphic gap. The lower member, ranging in age from late Bajocian to middle Callovian, is well developed only in the southern part of the 'Trento Ridge" (i. e. in the Lessini Veronesi area) and has a variable thickness which reaches a maximum of 8 meters.
In search of the Palaeogene-Neogene Boundary Stratotype
Authors: GELATI R. , STEININGER F. F.
Published: November 2023

In publishing the first results of its research works (Giornale di Geologia, vol. XLIV, fasc. l-Il, 1981 ) the Palaeogene/Neogene Boundary Working Group, while not having defined any final object yet, has nonetheless enabled us to: a) recall attention to the existence of lithofacies (e. g. turbidites, volcanoclastic rocks) of great significance with respect to the geodynamical situation of the Mediterranean; b) to clarify the significance of some first class faunal markers, particularly as regards planktonic foraminfera.

These results permitted to direct the course of subsequent research works carried out by the Group, m the way of giving to the International Commission on Stratigraphy. some objective data for a satisfactory solution of the problem.
I CORALLI DEL CALCARE Dl ZU (TRIASSICO SUPERIORE) DELLA LOMBARDIA (ITALIA)
Authors: FANTINI SESTINI N. , MOTTA E.
Published: November 2023

The present study deals with a detailed taxonomic study Of the Scleractinia from the middle and upper parts of the Calcare di Zu (Zu Limestone), a formation outcropping in the Central Lombardy and dated as Rhaetian (Late Triassic).

The specimens examined belong to the Collections of the Natural History of the Cities of Bergamo  and Milano. Some specimens deposited at the Museum in Milano belong to the original collection of Stoppani (figured by this author in 1857 to 1865 papers).

According the present revision, the genus Stylophyllopsis Frech, 1890 is a junior synonym of the genus Lepiconus Stoppani, 1857 and Retiophyllia paraclathrata Roniewicz, 1974 is a junior synonym of Retiophyllia langobardica (Stoppani, 1857). The fauna consists of 11 species, belonging to the genera: Cyathocoenia, Astraeomorpha, Pamiroseris, Palaeastraea, Lepiconus, Stylophyllum, Retiophyllia and «Thecosmilia».

Some of the identified species are known only from Stoppani Collection. Someothers, instead, have a larger distribution and are recorded from the northern Side of the Alps, from the Tatra Mountains, Iran, Pamir, and from Northern America.