bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study on the Impact of Market and Strategic Orientations on Business Performance by Emphasizing the Role of Innovation as a Mediator
Authors: Tahmasebinia Zhenia , Jokar Aliakbar , Mohebi Amir , Fardmehregan Sogand , Beigi Mehdi , Tahmasebinia Foozhan
Published: August 2022

This research aims to study the effects of strategic orientations as a broad spectrum of views on business performance. At the micro-level, the impact of market orientation as one of the main strategic orientations on performance was investigated. The statistical population of the study can be considered as 4,000 people. According to Morgan's table, we have tested the hypothesis using a sample of 351 people working in Iranian firms active in the healthcare field of supplying and manufacturing medical equipment and devices. So, we sent 351 questionnaires for data collection, and 247 were completed and then used for data analysis. This study emphasized the significant function of the market and strategic orientations on the organization's performance. By considering innovation as the mediator in this relationship, it has been found that innovation is critical in intensifying and improving business performance. Finally, we propose that managers, especially senior to middle ones, be alert and routinely seek appropriate strategies to implement in their department or firm following changes in a business environment and continuous technological advances.
The Role of Sensory-Motor Experiences and Embodied Cognition in Container-Based Metaphors in the Language of Jordanian Congenitally-Blind Persons
Authors: El-Sharif Ahmad
Published: August 2022

Empirical research accentuates that blind persons’ command of conventional metaphors does not significantly differ from that of the sighted (Sak-Wernicka, 2017; Minervino et. al., 2018). Still, there are several propositions and theories regarding congenitally-blind persons’ ability of perceiving conceptual metaphors that are based on sensory modalities (e.g. UNDERSTANDING IS SEEING). On basis of Conceptual Metaphor Theory and with the aid of a corpus of natural data, this study investigates how Jordanian congenitally-blind persons perceive and use the CONTANER image-schema following spatial logics that are based on sensory-motor experiences and behaviours. These logics created meanings that are grounded on the speaker’s embodied experiences and conceptualized as spatial schemas of CONTAINMENT, RESISTANCE, MOVEMENT, FORCE, INFILTRATING, ENTERING, and LEAVING. These spatial schemas predominantly reflect the Jordanian congenitally-blind persons’ ‘embodied cognition’ (Johnson, 1987; Gibbs, 2006) and points of view as ‘characters’ or ‘observers’ (Cassell and McNeill, 1991).
Резилиентността и предизвикателствата в нашето съвремие
Authors:   University of Plovdiv Paisii  Hilendarski, Ivanova Borjana
Published: August 2022

The work highlights the importance of resilience as a current and multifaceted problem that reflects on the lives of adults and children. The aim of the study is not only to reveal the essence and meaning of resilience, but also the influence of resilient factors in dealing with difficult situations. Different aspects of the resilience are considered. Preconditions for the development of resilience are created in pre-school age. In the context of resilience development, two types of resourses are emphasized: personal and social. The article focuses on the protective, resilience factors and on the role of the family and the social environment in the perfecting of childrenʹs resilience-skills. In this context communication and collaboration between the family and teachers in the educational institutions is very valuable. Adults create conditions for the development of resilience skills in children that help the overcome challenges in life.
Proposal for health education based on the verification of the hygienic and health conditions of establishments producing açaí pulp sold in natura in the municipality of belém (PA)
Authors: Nunes Raquel Soares Casaes , Da Luz Taciel André Moraes , Ferreira Ynis Cristine  de Santana Martins Lino , Salazar Quézia Suelen Amador
Published: August 2022

The objective of this study was to analyze the hygienic-sanitary conditions of the establishments that process açaí in the city of Belém, in order to verify if the establishments are in accordance with the determinations of the normative instruments. The work takes as basic guidelines the Resolution of the Collegiate Directory RDC 275 of 2002. The methodology used was the elaboration of a checklist, applied in 17 establishments, with the following topics as parameters: equipment, furniture and utensils needed; situation and conditions of the building and facilities, and handlers' hygiene. After the results were obtained, a booklet of Good Manufacturing Practices for Açaí was prepared for distribution to the small business owners. The evaluated establishments were classified as good, fair and poor, with the results being that 59% of the establishments were qualified as "good", 23% as "fair", and 18% as "poor". The non-conformities related to the hygienic-sanitary conditions of the establishments that sell açaí pulp were detected by the application of the checklist, which demonstrates that there is a great need for greater care in the handling of açaí from its harvest to the preparation of açaí.
AN ANALYSIS OF WH-QUESTIONS IN MONGONDOW LANGUAGE
Authors: Mokoginta Helya , Posumah Jennie , Andries Fivy
Published: August 2022

This research aimed to determine the form and function of WH-Questions in the Mongondow language. Mongondow speakers were the subjects of this research. This research was the descriptive qualitative method. The procedure of this research consisted of selecting informants based on certain criteria, collecting through a through interviews and observations, rechecking, the data, and writing the report. The data were analyzed through unitization, categorization, explanation, and interpretation according to Bogdan & Biklen. The results of this research showed that WH-Question ns in Mongondowwasguage were formed from question words, there are 10 forms of question words commonly used in WH-Questhe tions in Mongondow language, there are Onu, Ki'ine, Onda, To'onu, Doda'anda, Nongonu, Mongonu, Pongonu, Na'anda, and Tongonu. For the function of WH-questions in Mongondow language, the question words that form WH-questions sewasas bweren the front position of the sentence in the middle of the sentence when it has a time marker verb. Onu and Onda question words that used verbs of time-marking might use the prefix conn". The word "ki'ine" could be changed to "ine" when asking for an object description because the position of "ki" would be replaced with the words "koi" (to) and "takin" (with). So, the function of WH-questions in Mongondow language has different depending on the structure of the WH-questions sentences and the structure of the question words
CONTENT ANALYSIS OF COGNITIVE DOMAIN IN SENIOR HIGH SCHOOL ENGLISH TEXTBOOK
Authors: Sigiro Intan , Pelenkahu Noldy , Rettob Alloysius
Published: August 2022

The purpose of this study is to determine the types of cognitive domain, in Senior High School English Textbook uses Wh questions based on Revised Bloom's Taxonomy, as well as the distribution of higher and lower order thinking skills in Wh questions. The descriptive qualitative method uses to perform this investigation. The data of this research are Wh questions in Buku Guru Bahasa Inggris for grade 10th Senior High School with 2013 Curiculum published by Kementerian Pendidikan dan Kebudayaan, After examining the data, the findings of this study reveal that the Wh questions in the textbook did not cover all of the cognitive domains: (C1) 66.66%, (C2) 33.33%, (C3), (C4), (C5) and (C6) 0%. The distribution of low-order thinking, Remembering (C1) 28 questions and understanding (C2) 14 questions, include 42 questions 100%. There are no issues in the distribution of high-order thinking skill such as analyzing, evaluating, and creating (0%). It finds that the ditribution of high and low thinking skills in Wh questions in Buku Guru Bahasa Inggris for grade 10th Senior High School is unbalance.
Improved voltage fluctuations in improved microgrid based dual packet loop Flywheel battery control and harmonic system reduction by NPC three-level inverter
Authors: Feizollahzade Omid
Published: August 2022

Clean power sources like PV and wind power consist of prodigious randomness as well as volatility, and random variations in solar irradiance and wind speed are vulnerable to the voltages variations. As a result of the effect of photovoltaic and energy wind in relation to the power quality of the Microgrid and the reduction of system harmonics, this study describes the parallel mode of connection of a carousel battery with two small voltage sources with the adjustment of each output micro source voltage done by the AC output side. The inverter comes with an NPC three-level inverter MATLAB / Simulink software simulation results show that From the closed-loop control strategy and the use of the NPC three-level inverter, the system voltage stabilization and power quality are improved, and the system harmonics are reduced, so we will have a better result.
A review article on anti-aging herbal cream
Authors: Gupta Rakshit , Singh Neha. P. , Mukhopadhyay Sayantan
Published: August 2022

Face Cream is used cosmetically For Softening and cleansing the pores and skin like cold cream and vanishing cream. pores and skin like cold cream, vanishing cream, pores, skin Brightening cream, and ointment. Cream-Toiletry consists of many diverse substances inside the form of a thick liquid that possesses soothing as well as moisturizing outcomes while implemented to the skin. there are various sorts of lotions to be had in the marketplace like a light cream, sour cream, half and half the heavy cream, clotted cream, and many others, cause the formula of Anti-aging herbal cream is for reducing darkish Spots.
E-recruitment through social media
Authors: Kumari Puja , Dutta Mili
Published: August 2022

The objective of the study is to investigate the mediating role of social media in order to communicate economic and development value of employer brand to create positive perception towards the organization attraction. In the proposed conceptual model we were trying to establish the relationship between these three key variables. For this, 255 responses were collected from the IT sector employee working in India. In order to test the mediation effect of social media, we performed step-wise regression on SPSS 24. Findings suggested that social media and economic and development value of employer brand dimensions are predictors of organization attraction and also mediating role of social media is positive and significant. The outcome of the study suggests that organization can use economic and development value of employer brand through social media to create pool of applicants.
Assessment of accelerated cross-linking with different energy protocols
Authors: Shaaban Ahmed Mohamed , Osman Amr Abdellatif , Eissa Sherif Ahmed , Elsheikh Hesham Fathallah
Published: August 2022

To evaluate the safety and the efficacy of accelerated corneal cross-linking with two different energy protocols. Design Prospective, randomized, interventional study. Patients and Methods: 48 eyes of 26 patients aged 18-38 years with progressive keratoconus. Group A underwent accelerated cross-linking (24 eyes, 5.4 J/cm2), Group B treated with higher ultraviolet-A irradiance (24 eyes, 7.2 J/cm2). Changes in corrected distance visual acuity (CDVA), keratometric data, densitometric data, and specular microscopy were recorded preoperatively and at the 1st, 3rd, and 6th month postoperatively. One month postoperatively, the demarcation line was measured using anterior segment optical coherence tomography. Results: A mean corneal demarcation line was 231.43±27.18 μm in group A and 282.3±21.4 μm in group B and was significantly deeper in group B (P<0.05). Corneal densitometry in the anterior corneal layers was peaked at the 3rd month follow up in both groups. In contrast, middle and posterior stromal layers peaked at the 6th month in both groups (P<0.05). There were no statistically significant changes in CDVA, keratometric values, and endothelial cells in the two groups. Conclusion: We found that accelerated and modified accelerated cross-linking protocols were effective and safe in halting keratoconus progression after a follow-up period of 6 months.
Effectiveness of electromyography guided botulinum toxin injection and dextrose prolotherapy in recurrent TMJ dislocation (radiographic and clinical study)
Authors: Moussa Moataz Soliman , Elhasan Mohsen Fawzy Abo , Abdullah Abdel Aziz Baiomy
Published: August 2022

Objectives: This study was conducted to assess effectiveness of dextrose prolotherapy, Electromyography (EMG) Guided Botulinum Toxin – A (BTX-A) Injection, and combination between them   in treatment of recurrent TMJ Dislocation cases. Subjects and methods: This current study was carried out on 60 adult patients suffering from recurrent TMJ Dislocation. The patients divided equally into three groups, Group I: 20 patients were treated with EMG guided BTX-A injection. Group II: 20 patients were treated with dextrose prolotherapy. Group III: 20 patients were treated with combination of EMG guided BTX-A injection and dextrose prolotherapy. The clinical evaluation preoperatively and postoperatively (at 1week , 3 months , 6 months)  included visual analog scale of TMJ pain, maximum mouth opening (MMO), and frequency of luxations . Radiographic evaluation using MRI was done preoperatively, and at 6 months.  The collected data were then statistically analyzed. Results: best results were recorded in group III compared with other groups; at all intervals of study with significant reduction of pain score, and frequency of luxations beside to improvement of MMO measurements. Conclusion: the combination of EMG guided BTX-A injection and dextrose prolotherapy is a promising treatment in recurrent TMJ dislocation cases.
Comparative study for evaluation of the horizontal white-to-white corneal diameter using the optic low-coherent reflectometer and the Scheimpflug topography in normal Egyptian population
Authors: Khalil Hossam El-Din Mohamed Ahmed , Hassan Nihal Adel , Samir Asmaa Mohamed , Helmy Salah El sayed
Published: August 2022

Purpose: Comparison of the horizontal white-to-white corneal diameter measured by Lenstar LS 900® (Haag‑Streit AG, Koeniz, Switzerland) and TOMEY TMS-5® (topographic modeling system, version 5) to assess the agreement between them. Setting: El-Agouza police hospital, Egypt. Materials and methods: Comparative prospective cross-sectional clinical study in which measurements of the horizontal WTW corneal diameter were obtained by LENSTAR LS900 and TOMEY TMS-5. Results: The study included 219 eyes of 115 randomly chosen normal Egyptian subjects of both sex (68 males and 47 females). The WTW diameters measured by LENSTAR LS900 and TOMEY TMS-5 ranged from 10.88 to 13.15 mm and 10.69 to 12.94 mm respectively. Lenstar LS 900 gives slightly higher values for WTW diameter than TOMEY TMS-5. Pearson coefficient of correlation (r) revealed a strong statistically significant level of correlation between WTW values measured by both devices (r = 0.87 with p<0.01). Paired samples t-test showed a small mean inter-device difference with high statistical significance (0.29 mm and p<0.01). The Bland-Altman limits of agreement for WTW values measured by them showed a LoA extending from -0.1 to 0.68 mm. Cf the patient.
Muscle dystrophies in children
Authors: Elgamal Aya Mohamed Elsayed , Girgis Marian Yousry Fahmy , Hashim Rania Hamdy , Afify Omneya Gamal Eldin , Elnaggar Walaa Mohamed Hassen
Published: August 2022

Muscular dystrophies are a heterogeneous inherited group of disorders characterized by a variable distribution of weakness, various ages of onset, the pattern of inheritance, rate of progression, and clinical severity. Muscle degeneration and regeneration characterize muscle biopsy and these disorders are typically associated with elevated serum creatine kinase. Objective: We wanted to study the clinical characteristics of patients with muscle dystrophies and study clinical and genetic correlation in patients with Duchenne muscular dystrophy. Methods: This cross-sectional descriptive study included a cohort of 60 patients diagnosed with muscular dystrophy and fulfilling the inclusion criteria. All patients were subjected to full history taking and full neurological examination. Results: Patients are divided into five groups to study clinical characteristics in each group. 1. Duchenne muscular dystrophy group: included 30 patients who have genetically confirmed DMD cases (50 %), 2. Limb-girdle muscular dystrophy group: included 23 patients (38.3 %), 3. Myotonic dystrophy group: included 3 patients (5 %), 4. Congenital muscular dystrophy group: included 3 patients who were diagnosed clinically as merosin deficient congenital muscle dystrophy (5 %), 5. Distal dystrophy group: included 1 patient with distal muscle dystrophy (1.7 %). Mean age, gender, age of symptoms onset, main motor symptoms, CPK level, echocardiography.
association between body mass index and severity of coronavirus disease 2019 (COVID-19)
Authors: Hamza Adnan , Shah Naveed Nazir , Farooq Syed Suraiya
Published: August 2022

Background and purpose: The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented health crisis to the entireworld. As reported, the bodymass index (BMI)may play an important role in COVID-19; however, this still remains unclear. The aim of this study was to explore the association between BMI and COVID-19 severity and mortality. Methods: A retrospective, single-centred study including 88 participants with laboratory-detected SARS-CoV-2 infection admitted to designated COVID-19 centre in a tertiary care hospital from March to October, 2020 was done. Clinical records, laboratory data, and radiological findings were analysed. The impact OF BMI was evaluated to analyze their association with the severity of Covid-19 infection in these patients. Results: The severity of illness tended to increase in patients with higher BMI levels and lower BMI levels; the severity of illness in patients with BMI < 18.5 kg/m2  was highest (90%) followed by BMI > 25.0 kg/m2  was 79.2% when compared to patients with BMI 18.5–22.9 kg/m2 (77.8%).
Drugs and the 2030 agenda for sustainable development with special reference to Iraq
Authors: Muhannah Hind Ghanem Muhammad Al
Published: August 2022

The drug problem has worsened in recent years globally and has been linked to many other problems such as the spread of organized crime and terrorism, and the accompanying social, security, economic and health problems that threaten the social, cultural and economic entity of countries, which squanders opportunities for growth and prosperity. The research attempts to shed light on the impact of the drug problem on achieving sustainable development goals, which is attributed to the reason for its spread, as the study found, to economic, social and legal factors, including weak religious faith, improper social upbringing, family disintegration, poverty, ignorance and illiteracy, unemployment and emptiness, weak law enforcement, With regard to Iraq, it has suffered from political, economic and social conditions such as wars, security and economic instability, high unemployment, the spread of corruption of all kinds, displacement and other factors that contributed to the increase in drug trafficking, possession and abuse.
OntoImVid-ontology based semantic image/video processing
Authors: Lakshmi P. Santhana , Sankari L.
Published: August 2022

The rapid increase in the available amount of video data is creating a growing demand for efficient methods for understanding and managing it at the semantic level. Domain ontology is used to define high level semantic concepts and their relations in the context of the examined domain. A low-level features and video content analysis algorithms are integrated into the ontology to enrich video semantic analysis. OWL is used for the ontology description. Rules in Description Logic are defined to describe how features and algorithms for video analysis should be applied according to different perception content and low-level features. OntoImVid structure is created from both image and video semantic analysis results. Proposed OntoImVid combines the image and Video retrieval in same semantic retrieval technique in efficient manner.
PROFILE OF THE PATIENTS TREATED IN A COMPREHENSIVE WOUND CARE UNIT
Authors: Buck de Oliveira Ruiz Paula , Antonia Aparecida Poletti Nadia , Fernandes Costa Lima Antônio
Published: August 2022

Objective: to analyze the demographic, clinical and therapeutic profiles of the patients treated in a Comprehensive Wound Care Unit. Method: a quantitative and retrospective study that analyzed management reports and medical records of patients with chronic wounds treated at a Comprehensive Wound Care Unit in Vitória da Conquista-Bahia, Brazil. The data, collected in February 2020, were submitted to descriptive and inferential analysis, and the Chi-square test with p-value<0.05 was used for the association between variables. Results: the mean age among the 176 patients was 71.4 years old (SD±16.5). There was a statistical association between fecal incontinence and stage two Pressure Injury (p=0.018); Diabetes Mellitus and stage three Pressure Injury (p<0.001); Alzheimer’s disease and medical device-related injury (p=0.028); Diabetes Mellitus and Diabetic Ulcer (p<0.001); and between vascular insufficiency and Venous Ulcer (p<0.001). Conclusion: knowledge about the profiles provides the basis for the comprehensive assistance provided by a non-hospital unit specialized in wounds.
Does Corporate Governance Support Tax Avoidance Practice in Indonesia?
Authors: Handoyo Sigit , Wicaksono Aditya Pandu , Darmesti Atidira
Published: August 2022

Tax avoidance is an action taken by company management so that corporate tax payments are smaller than they should be. The practice of tax avoidance often occurs in companies in Indonesia related to the tax rate for business entities which is considered too high. This study was conducted to establish if the factors of corporate governance, sales growth and leverage have an impact on the practice of tax avoidance. Corporate governance in this study is divided into five, namely independent board of commissioners, institutional ownership, managerial ownership, audit committee, and audit quality. The sample in this study is mining companies listed on the Indonesia Stock Exchange. The method used to take the sample was purposive sampling. This study used multiple linear regression. The results showed that independent board of commissioners, institutional ownership, audit quality, sales growth, and leverage had no effect on tax avoidance, whereas managerial ownership and audit committee had a positive effect on tax avoidance. This shows the impasse of corporate governance in preventing tax avoidance and even the audit committee actually encourages tax avoidance. The implication of this research is that it is very important to have strict supervision of mining companies in Indonesia in respect of tax avoidance practices by relevant agencies such as the tax office so that it has an impact on the need for technical skills for tax officers to detect tax evasion by companies.
A study on the role of WhatsApp as an emerging business communication tool among Startups and MSMEs in India
Authors: Kottani Anil Kumar , K.N Ajay Kumar
Published: August 2022

Marketing Communications has been the vital part of Start-up’s and MSMEs growth in the recent years contributing to a significant change in the way the businesses are communicating after the advent of internet. After the arrival of smart phones, the interactions among business enterprises have refined completely compare to traditional interactions happening since ages among businesses. This study focusses on one such prominent communication tool which has changed the entire landscape of Start-ups and MSMEs marketing communication is “WhatsApp”. The study intends to highlight the significant roles of this powerful communication media WhatsApp among Start-up’s and MSMEs of India in terms of exchanging texts, images, videos and other documents while conducting their business on day-to-day basis. Also, the study intends to know more about WhatsApp’s benefits for Start-up’s and MSMEs in India and its future as a most cost-effective tool of marketing communication among start-ups and MSMEs.
Modeling and Analysis of Metrics for Quantitative Investment
Authors: Su Yi , Zhang Yumeng
Published: August 2022

In recent years, the issue of quantitative investment has been hot in the investment field amidst the rapid development of quantitative finance. It is necessary for different investment objects to build corresponding portfolios and set investment strategies based on historical data pairs to get maximum returns. To help investors better solve the investment problem of gold and bitcoin portfolios. This paper constructs a BP neural network price prediction model, predicts the closing price on the last day of the transaction, and then uses the greedy algorithm to solve the optimal daily trading strategy to pursue the overall optimal solution and obtain the maximum profit. Combined with grey forecasting and time series forecasting methods, the forecasting models for gold and bitcoin prices are constructed again.
Predict the Future Price Movements of Gold and Bitcoin Based on The Long Short-Term Memory Neural Network Model
Authors: Wu Jinchen , Gao Yihan , Wu Wenyu
Published: August 2022

Market traders often buy and sell volatile assets to maximize their returns, usually with Bitcoin or gold commissions. We started from November 9, 2016, to predict the future price movements of gold and bitcoin, based on the long short-term memory neural network model. First, we preprocessed the data for outliers and added the prices of gold and bitcoin to the training. At the same time, based on the price of the day, we also established a strategy model based on the Sharpe ratio and particle swarm algorithm. Then, through the sensitivity analysis, we found that as the transaction fee increases, the number of transactions of gold and Bitcoin decreases significantly, and the value decreases. On the contrary, there is the same theory, which proves that our model is perfect.
Measurement and Analysis of Regional Inclusive Finance Composite Index Based on Contribution Analysis
Authors: Yang Guangye
Published: August 2022

In recent years, with the development of economic globalization, regional inclusive finance has received increasing attention from the international community. The development concept of inclusive finance has been deeply rooted in the people's hearts, and its practice has been continuously improved. Based on the data of financial services in Dalian, Liaoning Province, this paper uses principal component analysis ( PCA ) and artificial neural network-radial basis function ( ANN-RBF ) algorithm to measure and analyze the contribution of the inclusive financial index ( FII ). Firstly, the index system of regional inclusive finance is confirmed, and based on PCA dimension reduction, the index of regional inclusive finance is constructed. By constructing the evaluation model based on principal component analysis and artificial neural network-radial basis function contribution analysis, the measurement and analysis conclusions of regional inclusive finance comprehensive index is obtained. The results show that: ( 1 ) In recent years, FII in Dalian has gradually fluctuated and increased. (2)Among the influencing factors, the number of insurance institutions, number of employees in monetary and financial service, the amount of RMB loans of financial institutions in Dalian, the premium income of property insurance in Dalian, the proportion of total loans of financial institutions in Dalian to GDP, Dalian property insurance depth have the greatest impact.
Research on Quantitative Trading Investment Strategy Based on LSTM and Dynamic Programming
Authors: Mao Jiayuan , Wang Kexin , Zhao Wei , Liu Ningning , Wang Youyu , Fan Wei
Published: August 2022

As financial markets matured, more standardized and quantitative research emerged. In this paper, we model the historical price returns of U.S. gold and BTC over a five-year trading period from September 11, 2016, to September 10, 2021, and estimate the total investment returns as of September 10, 2021. First, we build a variety of price-prediction models to fit the image to the data to get the most accurate image of the actual price trend. It was found that the LSTM neural network-based multi-interval segmentation price prediction model, which has the best prediction effect by comparison with the actual value. Therefore, it was used as the core prediction model for this paper. Then, we use the planning model to find the optimal investment plan by using the difference between the price change of gold and bitcoin trading in the next three days as the decision variable, the highest Sharpe ratio on the third day as the objective function. At the same time, the variance of the forecast value in the next three days is used as the risk characterization, and different weights are assigned to the risk and return as the objective function to characterize the investment strategy under different investment personalities. In order to accelerate the convergence of the planning model, we added a particle swarm algorithm for optimization. In the end, we obtained the results for the specific daily investment scenarios for aggressive investors, intermediate investors, and steady investors.
Global equity analysis of asteroid mining based on RCSS
Authors: Li Xuanxuan , Zhu Yiwei , Wang Kangyan
Published: August 2022

As mining and exploitation of asteroid mining becomes possible, its relationship with global equity becomes a hot topic of discussion. It is significant to establish a scientific and sustainable equitable distribution. In this paper, EWM is used to calculate the weight of secondary indicators, and RCSS model is used to reflect the overall development level of the region. By calculating the variation degree of development level between CV reaction regions. Combined with the results of RCSS model, the secondary index scores are analyzed to illustrate the different ways in which asteroid mining affects the global equity level and impact degree.
Study of 0-1 backpack planning based on simulated annealing algorithm and greedy algorithm for base station coverage and clustering problems
Authors: Ge Wenjun , Li Yu , Shao Fuqiang , Zhong Hangwei , Zhang Shuzhen
Published: August 2022

For the base station siting and planning problem in the communication industry, we first establish a 0-1 backpack dynamic planning model, and then use the simulated annealing algorithm and greedy algorithm to continuously optimize the base station sitting under different requirements. Moreover, the coverage area of the considered base stations is closer to the actual one (i.e., three sectoral areas). In this regard, we first establish the polar coordinate system to study the relationship between the change of the main direction angle of a single base station and the coverage area and then use the hierarchical clustering algorithm to classify the main direction angles of the three areas into three categories based on the distribution of weak coverage points around the stations and find the three best main direction angles of a single base station. And the greedy algorithm is used to solve the problem from local to overall so that each base station can cover the weakest coverage points as much as possible, and finally get a more ideal result that the total weak coverage rate of all base stations reaches 79.8%.
Site Selection Planning of Urban Base Station
Authors: Chen Donghe , Zhao Fei , Huang Kun , Feng Jiarui , Tang Jingtian
Published: August 2022

TWith the development of mobile communication technology, the coverage quality of the network began to become an important measure of a regional communication network. With the development of 5G technology, the communication bandwidth is increasing, the coverage of the base station is getting smaller and smaller, and the types and signal coverage characteristics of base stations are also different. Therefore, the problem of site selection and planning of base stations in cities begins to become more prominent. Based on the principle of priority business volume and the cost performance of base station, this paper establishes a set of models to solve the site selection planning problem of urban base station. In short, in view of the base station construction planning problems in cities, this paper establishes the relevant model and algorithm, and gives a solution based on the principle of giving priority to the business volume requirements and the cost of base station construction.
A multi-ecological complex fungal growth prediction model based on Cellular Automata and interval estimation
Authors: Zhang Runyu , Lu Wenhao , Zhang Wenduo
Published: August 2022

As the decomposer of ecosystems, fungi play an indispensable part in the carbon cycle and energy cycle. We studied the impact of biodiversity and variation probability on decomposition efficiency with the mild climate data [1-2] with the semi-arid climate, and got qualitative conclusions. The establishment of this model follows the principle of total simplicity to complexity. In the process of continuously adding influencing factors to the model, the overall agreement of the results obtained from the various parts of the model is still maintained. And the conclusion of the model is basically similar to the actual situation. The feasibility of using Cellular Automata to solve the model has also been verified by past experience in the simulation of complex systems [3].
Allocation and Scheduling of the Colorado River System
Authors: Zhang Ziyang , Wang Kaisheng , Zeng Ruifeng
Published: August 2022

Generally, dams serve as reservoirs for water storage. The Colorado River Basin is currently in a state of continuous drought, and if the five states of AZ, CA, WY, NM and CO maintain the agreements made hundreds of years ago, there will not be enough water to supply in the near future. We propose a multi-objective programming algorithm under inequality constraints, under the condition that the sum of the competition coefficients is minimized, we solve the proportion of water resources that should be cut for general water usage and hydropower production at different water scarcity rates. We develop some policies to deal with water scarcity. We use the univariate analysis method to rationally analyze and reconstruct our model according to three different scenarios, and finally predict different situations, like additional water supply is needed or whether there will be more water flowing to the Gulf of California.
Research on optimal parking trajectory based on parking planning model
Authors: Xia Yu , Wang Yunfan , Zhu Haotian , Liu Zhirui
Published: August 2022

This paper mainly deals with the planning problem of unmanned vehicle parking path in parking lot. For each different parking problem and different parking constraints, a suitable parking model is established in this paper. First of all, the Akman turned to the geometric model, and the original four -wheel car model was equivalent to a two -wheeled bicycle model, so that the two different corners of the front wheels were equivalent to a corner 6.462m. In the solution to the shortest distance, this article first establishes the shortest distance model of accelerating to the same maximum speed under any condition. The shortest distance required to solve the maximum limit of 20km/h is 5.561m. Lately, the vehicle motion equation model was established, and the change rate of the maximum curvature relative path length was 1.140m-2. Aiming at problem 2: First, the turning process in parking is analyzed, and the minimum turning radius when the control point is located at the axisymmetric center of the rear wheel is recalculated to be 4.974m, which is used in the subsequent parking path planning. Finally, using the above analysis of the motion situation of the unmanned vehicle and the planning of the parking trajectory, the parking trajectory in each case and the relationship between the changes of each physical quantity over time are given.
Coronavirus Epidemic Spreading Prediction combining random walk with susceptible–exposed–infected–recovered–deceased (SEIRD) model
Authors: Wang Zhengxi , Yuan Yujian
Published: August 2022

Since the breakout of COVID-19 pandemic in December 2019, effective modelling of the spreading of the virus has become an essential reference for the epidemic controlling. In a bid to solve the problem of Epidemic prediction, susceptible-exposed-infected-recovered (SEIR) model are widely applied. However, this model seems lack the ability to handle random events which may occur during the spreading of the pandemic and the ability to simulate the pandemic spreading between different subdivided regions. Therefore, we propose an early version of susceptible–exposed–infected–recovered–deceased (SEIRD) model that combines the classic compartmental concepts of SEIRD and the random walk methodology to forecast COVID-19 in real time. Specifically, this study will focus on improvement of the exposed–infected part of SEIRD model. First, the exposed–infected section of SEIRD model will be applied to each subdivided regions separated. Then, instead of entering infected–recovered part directly, the infected of each district will be selected and sent to linked districts by random walk system to mimic the commuting and irregular trips between regions. Eventually, after the re-distribution of infected patients, the model will enter the infected–recovered section. This argued model adopt the SEIRD model to forecasting of virus spreading between small regions and taking irregular moving of citizens into consideration via random walk system, thus provide an effective reference for countries which aim to respond to the post-epidemic era.
Non-pharmaceutical interventions taken by China during the prevention and control of COVID-19
Authors: Yuan Zhiling
Published: August 2022

To study and analyze the effective non-pharmaceutical interventions taken by China during the avoidance and management of COVID-19, in order to provide suggestions for future response to major public health emergencies. Search for keywords such as 'COVID-19', 'SARS-CoV-2', 'non-pharmaceutical interventions', and 'control strategies' on PubMed, and establish domestic and foreign literature as well as dynamic epidemic reports and expert comments issued by official institutions and summary. During the epidemic, traditional infectious disease prevention measures were adopted, such as isolation, case testing, personal protection (wearing masks), and new measures, such as expanding social distance and restricting travel. Through the precise implementation of prevention and control measures, most Asian countries, mainly China, have effectively controlled the spread of the new coronavirus in the first half of 2020. Studies have shown that measures taken during the epidemic have reduced the spread of the new coronavirus and the incidence of other respiratory infectious illnesses. For the outbreak center of the epidemic, taking Wuhan as an example, targeted prevention and control measures such as closing schools, closing cities, and establishing sheltered hospitals have been adopted, and these measures have achieved remarkable results. Only by doing so can we minimize the virus spread and curb the spread of the epidemic.
Pleasure and Achievement: Dopamine and Endorphins
Authors: Zheng Renjun
Published: August 2022

Dopamine is a well-known chemical that brings happiness to people and is responsible for signaling excitement and happiness. Dopamine is not only a key regulator of learning and motivation, but also a core substance that regulates the human body. Depression and Parkinson's disease are often associated with a lack of dopamine. Moreover, smoking is addictive, and its main mechanism is also closely related to dopamine: nicotine can cause a burst of dopamine neurons. Another substance with similar effects to dopamine is endorphins. Endorphins attach to morphine receptors and cause the same pain alleviation and pleasure that morphine and other opiates do, similar to a sense of accomplishment. Endorphins bring pleasure, but also lead to drug abuse. Opiate addiction is a severe public health issue that affects a huge proportion of population. People who take drugs produce dopamine and endorphins, and their mental dependence on drugs far exceeds the benefits of dopamine and endorphins.
Doxorubicin-induced Cardiomyopathy: Mechanisms, Diagnosis and Therapeutic Drugs
Authors: Huang Chengxiang , Zhu Sixuan
Published: August 2022

Doxorubicin (DOX) is an anthracycline drug for cancer treatments, including breast cancer, prostate cancer, and some other types of malignancies. However, doxorubicin is toxic related does, exerting cardiotoxicity most severely on patients. Cardiotoxicity is defined as “toxicity that affects the heart” by the National Cancer Institute. Cardiomyopathy is a major side-effect. There are modern studies which showed there are direct relationship between the severity of DOX-induced cardiomyopathy and the amount of DOX that patients consumed. This review explains the mechanisms of DOX-induced cardiomyopathy, specifically the causes for the oxidative stress, mitochondria’s role in DOX-induced cardiomyopathy, and the relations with NOS ROS, and eNOS that ultimately cause the oxidative stress, which will be a crucial factor for the occurrence of DOX-induced cardiomyopathy. Besides, summarizing the diagnosis imaging modalities including echocardiogram, tissue doppler imaging, cardiac resonance imaging and multigated acquisition, and introduce the drugs that can alleviate cardiomyopathy, which are dexazoxane and liposomal DOX with their mechanisms and experiments results demonstrated.
The current development of the non-medicine treatment of Epilepsy involved EEG and the Expectation
Authors: Li Ziqi , Pei Li , Wang Cankun
Published: August 2022

Since Jacquces Vidal first proposed the concept of the brain-computer interface in 1973, more and more scientific researches have been involved in the study of BCI, leading to the rapid development of BCI technology. Brain-computer interface refers to establishing a direct connection between the human brain and the external machine, which enables the brain to directly interact with the outside world based on the behaviours and movement of muscle tissue regulated by peripheral nerves or the communication of language and characters. BCI can achieve direct contact with external devices without relying on normal brain output pathways, which brings hope to patients with normal thinking but a severe neuromuscular injury that BCI can restore their ability to move or communicate with the environment and improve the quality of life of patients. There are mainly EEG, MEG, ECoG and FMRI methods to record neural signals of brain physiological activities. EEG is the bioelectrical activity of cortical neurons, which can reflect different brain states well and is widely used to apply brain-computer interface technology. At present, BCI technology is developing towards the real-time and practical direction. This paper summarizes the progress of EEG based brain-computer interface and an overview of epilepsy. These results shed light on further exploring the application potential of BCI in repairing major brain diseases.
The role of mesenchymal-epithelial transition factor (c-MET) in cancer development and treatments
Authors: Xie Yuxuan
Published: August 2022

The mesenchymal-epithelial transition factor (c-MET) is classified into the tyrosine kinase receptor family. Its indispensable role in regulating the cell cycle through various downstream pathways has made it one of the most essential transmembrane receptors. A MET receptor monomer contains six domains, and each has its own function when activated by hepatocyte growth factor (HGF). Due to its complexity, c-MET aberrations including point mutations, amplification, protein overexpression, splicing site mutation, fusion, and HGF autocrine or paracrine upregulate cell proliferation and are common in most aggressive cancer types such as colorectal cancer, lung cancer, liver cancer, and glioblastoma. Correspondingly, cancer therapies targeting c-MET have been researched for decades. This review presented the mechanisms under c-MET activation, discussed its role in cancer development, and summarized recent advancements in clinical trials. c-MET inhibitors, especially combined with other therapeutic inhibitors, appeared to be a promising strategy when taking selectivity, resistance, and tolerability into account.
The Toxicity of Osimertinib in Cancer Therapy
Authors: Chen Hanqi , Chen Hao , Deng Rui , Zhu Chenhuan
Published: August 2022

Osimertinib is a novel 3rd-generation TKI which targets the EGFR in NSCLC. It inhibits the phosphorylation of EGFR, thereby inhibits proliferation of NSCLC. Thus, Osimertinib is widely used in the treatment of lung cancer, as well as other types of cancers such as glioblastoma (GBM). However, there are still some drawbacks. Osimertinib can suppress stromal cells in the bone marrow, thereby leading to the aplastic anaemia. Osimertinib can also contribute to dermatposis. Some patients are diagnosed with kidney and heart failure after the treatment, which is suspected the failures associated with the Osimertinib. Even though the drug resistance of Osimertinib is relatively low, the drug resistance cannot be completely ignored. The mechanisms of drug resistance include EGFR-dependent mechanism with the loss of T790M mutation, as well as non-EGFR-dependent mechanism due to the amplification of allele wt-EGFR and existence of allele EGFR-ex19del. In addition, the price of Osimertinib is still high in most regions. Future studies may focus on how to reduce the toxicity to organs and the drug resistance, thereby providing a direction for the fourth-generation TKI.
Effectiveness and safety of Osimertinib on non-small cell lung cancer therapy
Authors: Wang Xiaotian
Published: August 2022

Lung cancer is a disease causing millions of deaths around the globe without adequate means of medical treatment. As one subtype of lung cancer, non-small cell lung cancer (NSCLC) involves mutations in epidermal growth factor receptor (EGFR) and is commonly treated with EGFR tyrosine kinase inhibitors (TKI). Yet, cancer cells adapt and resist rapidly to TKIs and constant updates are required. Osimertinib (AZD9291) is the latest generation of EGFR-TKI designed to inhibit EGFR mutation and T790M, a second-site genetic mutation responsible for EGFR-TKI resistance. Nearly two-thirds of NSCLC patients who are EGFR mutation-positive and experience resistance after being treated with an EGFR-TKI develop the T790M mutation, for which there have been limited treatment options. Osimertinib arises as a potent drug against metastatic EGFR T790M mutation-positive NSCLC. Osimertinib has undergone an elevated FDA approval process to the market. This review summarizes clinical trials of different phases to illustrate the effectiveness of Osimertinib against NSCLC, as well as variable mutations in Osimertinib resistant patients. Further studies are required to address Osimertinib’s toxicity as well as treatments against resistance to Osimertinib.