bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of antimicrobial efficacy of chemical mouthwash and herbal mouthwash
Authors: Husain Seerab , Dinesh S. P. Saravana
Published: August 2022

Background: The use of mouth rinse for oral hygiene maintenance has been advocated as an adjuvant to mechanical aids of plaque removal. The aim of this study was to compare the antimicrobial effect of herbal and chemical mouth rinse on bacterial accumulation on orthodontic arch wires. Materials and Methods: The study sample consisted of 15 numbers of 0.016 Nickel Titanium (NiTi) arch wires removed from patients' mouths, which were split into three segments of 1 cm each. Wires were dipped in solutions of Chlorhexidine (Group A), Befresh Herbal (Group B) and Distilled water (Group C) individually for 30 seconds and then in normal saline for one minute. 0.5microlitre of this saline solution was inoculated in a Brain heart infusion medium (BHI) for 24 hours and then examined for bacterial count. The obtained results were subjected to One-way ANOVA, Bonferroni and post hoc tests for statistical analysis. Results: Group A showed the maximum reduction in the bacterial colony forming units (CFU) after 24 hours with a mean value of 65.67cfu. Group B showed a mean value of 336.87cfu. There was a statistically significant difference between the Chlorhexidine group and the Control group.
Diagnostic accuracy of uterine artery doppler velocimetry in patients with placenta previa
Authors: Gebreil Mohammed Mohammed , El-Sadek Ahmed Mohammed , Emam Khaled Gaber
Published: August 2022

Background; The placenta previa (PP) is an obstetric problem in which the placental tissue is improperly located inside the lower uterine segment. Aim and objectives: was to see how effective uterine artery Doppler velocimetry was in detecting unusually morbidly adhering placentas in patients who had had one or more prior caesarean sections with placenta previa. Subjects and methods; Cross-sectional research of 100 patients was undertaken in the Department of Gynecology and Obstetrics, El- Sayed Galal Hospital, AL- Azhar University. Result; Our results showed highly statistically significant correlation between the presence of abnormal lacunae and histopathological confirmation (P-value > 0.001). In addition, the overall Sensitivity, specificity, PPV, NPV and accuracy were 90%, 100%, 100%, 64.2%, 91.6%. This criterion showed very high sensitivity and specificity with very high positive predictive value and accuracy to become the most important criteria, Conclusion; As a result of this, we conclude that the accuracy of abnormal placental lacunae, loss of the reto-placental clear zone, myometrial thinning, and utero-vesical hypervascularity are the most critical ultrasound criteria for diagnosing placenta accreta in patients who had a previous CS with a placenta previa overlying the previous uterine scar.
Rapid eye movement sleep in adolescent females with borderline personality disorder
Authors: Nasreldin Mohamed , Basheer Mye A. , Khalil Mohamed A. , Madbouly Nagwan M. , Saleh Alia A. , Abdalraheem Eman
Published: August 2022

Objective: The aim of the study was detecting Rapid Eye Movement (REM) sleep abnormalities in adolescent females with borderline personality disorder (BPD). Method: A case control study included a convenient sample of 30 adolescent females with BPD compared to 30 matched healthy controls. Pittsburgh Sleep Quality Index and an overnight sleep lab polysomnographic study were applied to both groups to assess sleep. Results: Patients with BPD were subjectively dissatisfied with the quality of sleep compared to controls (p<0.001). Abnormalities in REM sleep in patients when compared to controls were higher REM percent (p=0.001), shorter REM latency (p=0.001), higher REM density (p=0.001) and higher number of REM periods in the first half of the night (p=0.000). Conclusion: REM sleep abnormalities are found in adolescent patients with BPD, which may be considered as trait markers for BPD.
Impact of HCV ns5a resistance associated substitutions on treatment outcome of chronic HCV in daclatasvir-based antiviral regimens
Authors: Esmat Gamal Eldin , Zekri Abdel-Rahman N , El-Sayed Mohammad , Soliman Hany K , Medhat Eman , Daif Mohamed Abo El Kassem Abo
Published: August 2022

Background: RASs have direct relation to the treatment outcome in chronic HCV patients receiving DAAs. Aim and objectives: to evaluate prevalence of NS5A HCV RASs and their impact on the treatment outcome in daclatasvir-based antiviral regimens in a cohort of Egyptian patients. Subjects and methods: This study was conducted on 40 Egyptian chronic HCV patients at the virology unit of Cairo Fatemya hospital. The study participants were recruited from cases attending the virology unit of Cairo Fatemya hospital in the period from 1/11/2019 to 1/6/2020. Those patients were divided to two equal groups: responders and non responders (20 patient each).Result:Significant difference was found between the two groups as regard RAS in NS5A region in amino acid position 332 (K substitution was detected in responders while E substitution was detected in non-responders), There was a significant difference between the two groups of studied patients as regard RAS in NS5A region in amino acid position 28 (L substitution was found in responders while M substitution was found in non-responders).Conclusion; Although our results showed that RASs against NS5A and NS5B inhibitors have impact on treatment outcome,  this finding needs to be confirmed by a larger study.
Effect of iron deficiency on behavior and cognition in children
Authors: Bahgat Karima Abd Elfattah , Nasr Haidy Mahmoud , El-Sayed Samar Kamel
Published: August 2022

Background: Iron deficiency (ID) is the most common trace element deficiency in childhood. More than 25% of the world’s population is affected by anemia, of which more than 50% suffers from iron deficiency anemia (IDA). Iron deficiency can cause changes in neurotransmitter homeostasis, decrease myelin production, impair synaptogenesis, and decline the function of the basal ganglia. Therefore, IDA adversely affects cognitive functions and psychomotor development. Aim: is to study the effect of iron deficiency on behavior and cognitive function in children using conners parent rating scales and P300 event-related potentials (ERPs). Patients and Methods: This is a cross sectional comparative study included 20 children with iron deficiency, 20 children ​with iron deficiency anemia,and 20 healthy children who attended the pediatric out patient’s clinic and inpatient department of Al-Zahraa hospital –Alazhar University for Girls we include children with iron deficiency ,Children with chronic medical conditions,Children with co-morbid psychiatric diagnoses ,children with any form of psychiatric, physical, developmental or Intellectual  disability, chronic underlying disease (e.g. inborn error of metabolism, genetic, endocrine or liver disease, vision or hearing impairment) or neurologic disorders were excluded from the study.
Correlation between optical coherence tomography angiography macular parameters with optical coherence tomography structural parameters in primary open angle glaucoma (a longitudinal descriptive study)
Authors: Abdelghani Hasnaa Hussien Kamel , Ahmed Mansour Hassan , Haroun Hazem Effat , Aboud Safaa AwadAllah Mohamed
Published: August 2022

Background: There is growing evidence indicating that glaucoma pathogenesis is attributed to vascular dysfunction.Aim: compare the macular circulation in normal individuals and glaucomatous patients in the superficial as well as the deep retinal plexuses, to determine and characterize macular circulation deficits in glaucoma along with correlating them with structural macular OCT parameters Methods: descriptive study included 100 eyes of 100 participants who were selected randomly from attendants of ophthalmology outpatient clinic in Beni-suef university hospital Participants were subjected to 24-2 SITA- standard automated VF test using SAP ,OCT ONH examination and OCTA (Macula)  Results: IOP showed significant negative moderate to strong linear correlation with all the Macular Parameters in Glaucoma Participants. These correlations were highly significant; (p-values <0.001). All measurements of superficial and deep macular venues plexuses by studied macular OCTA was statistically significantly lower in glaucomatous as compared to non-glaucomatous participants; (p-values <0.001). Conclusion: There was a reduction in VD in particular that of superficial layer in POAG patients in macular region, according to OCTA measurements. Glaucomatous eyes have a significantly sparser superficial VD in the macula when compared to healthy eyes, and these VD assessments are significantly accompanied by the severity of VF destruction and OCT structural affection.
Optical coherence tomography angiography versus fluorescein angiography in diagnosis of ischemic diabetic maculopathy
Authors: Ahmed Mansour Hassan , Haroun Hazem Effat Abd Elghany , Aboud Safaa Awad-allah Mohamed , Ahmed Sanaa Aiad El Sayed
Published: August 2022

Objectives: To compare between the use of Fundus Fluorescein Angiography (FFA) and Optical Coherence Tomography Angiography (OCTA) in the diagnosis and quantification of diabetic macular ischemia (DMI) diagnosed according to the Early Treatment Diabetic Retinopathy Study (ETDRS) classification based on Foveal avascular zone (FAZ) parameters. Patients and Methods: The presented study is a prospective randomized observer blind observational study that included 40 eyes of 25 diabetic patients who were diagnosed as having ischemic diabetic maculopathy.  Diabetic patients (type 1 or type 2) having different severities of diabetic retinopathy with and without previous treatment (laser or intravitreal injections). FA and OCTA images were independently graded by 2 observers that reached agreement regarding quantitative DMI according to established protocols. Quantitative analysis of the FAZ area was performed using custom software. Results: Demographic data of the studied cases were comparable between groups. OCTA images closely correlated with FA regarding area of FAZ (mm2).
effective role of vitamin D and omega-3 on rats with induced Crohn’s disease
Authors: Rabeh Naeem M. , Ibrahim Hoda S. , Osman Fatma N.
Published: August 2022

Crohn's disease is an irreversible inflammatory disease, mainly affecting the gastrointestinal tract. The aim of present study was to investigate the effect of dietary vitamin D and omega 3 supplementation on rats with induced Crohn’s disease. Twenty – four adult male albino rats weighing (160 gm) were divided into 4 groups. The 1st group (n=6) was fed on the basal diet. The 2nd to 4th of rats (n=18) were injected with (10 mg/kg for 3 days) of indomethacin at the end of the experiment to induce Crohn’s disease. Groups (3 and 4) were fed on basal diet and given orally 1000/IU/kg/ b.w. of vitamin D and 600 mg/kg/b.w. of omega 3 respectively. At the end of the experimental period (8 weeks), rats were scarified. Biochemical analysis of the tested parameters was determined. The Results indicated that indomethacin Crohn’s rats showed a significant (P< 0.05) decrease in serum albumin, serum Catalase and serum Glutathione peroxidase compared to the negative control one, while serum liver function, MDA, CRP, and immunity proteins were significantly increased.
Street vending and urban public space
Authors: Aye Kughatoli V. , Sarma Barnali
Published: August 2022

Street vending is a worldwide phenomenon, found in all countries and it has been practicing in different ways. Street vendor as a person who offers goods or services for sale to the public without having a permanent built up structure. Urban Public Space has historically been described as "open space", meaning the streets, parks and recreation areas, plazas and other publicly owned and managed outdoor spaces, as opposed to the private domain of housing and work (Tonnelat:2010:1).This study is concentrated on Beltola Market which is one of the oldest market in Guwahati city of Assam where Street Vendors undertaken their everyday business and provided services to the large number of people through access urban public space.The Socio-Demographic status of street vendors identified that majority constituted of male against female vendors. Majority of the respondents revealed that they have allotted space for vending whereas few of them do not have proper vending space in the market.71 per cent respondents have permanent space and rest of vendors have occupied temporary space. It was observed through filed study that vending space is very congested and vendors often faced infrastructure related issues, such as parking, waste management, and congestion.
comparative study on conventional ligation and self ligation bracket systems
Authors: Reddy B. Rama Mohan , Naik Moode Kaladhar , Alla Ramya , Chandrika Sindhu , Samineni Sahithi , Kandikatla Pradeep
Published: August 2022

Aim: The purpose of the present study was to evaluate the comparison between conventional ligation and self-ligation bracket system. Methodology: Seven hundred and sixty two patients, consecutively treated with fixed appliances, were evaluated retrospectively. All patients were treated by one orthodontist in a private orthodontic practice. Three hundred and eighty three patients were treated using a conventional pre-adjusted bracket system and 379 patients were treated with active self-ligating brackets. The total treatment time, number of appointments, appointment intervals, number of bracket breakages and number of unscheduled emergency appointments were recorded. Pretreatment characteristics identified by the ICON were related to these variables. Results: The average treatment duration was 15.7 months (Range: 4.1–40.5 months; SD: 5.6 months). Comparable amounts of time were spent in rectangular and round archwires by both appliances. Overall, there was no statistically significant difference between the durations of treatment with active self-ligating brackets and conventional pre-adjusted brackets. The number of debonded brackets and other emergency visits was significantly higher in patients treated with active self-ligating brackets. The treatment characteristics associated with prolonged treatment were: extraction of teeth, a Class II molar relationship and the degree of maxillary crowding or spacing.
Recent advances for commedonal acne treatment by employing lipid nanocarriers topically
Authors: Patnaik Swastik , Purohit Debashis , Biswasroy Prativa , Diab Walaa Mohammad , Dubey Anubhav
Published: August 2022

Acne is one of the most common chronic inflammatory dermatological disorder associated with multifactorial pathogenesis. Approximately 95 % of the population suffers from it at some point in their lifetime. Antibiotics, acids, benzoyl peroxide, and retinoids are the most commonly drugs used for the treatment of acne. However, conventional formulations of these drugs are associated with undesirable toxicities, inadequate penetration across stratum corneum, short retention time of the drug in the target site, and poor aqueous solubility of drugs, that limited their medicinal applications. As a consequence pharmaceutical researchers are turning towards novel drug delivery systems to overcome these limitations.With respect to their small particle size, lipid occlusive nature and unique surface characteristics, lipid nanocarriers can promote skin hydration, enhance drug permeation, improve its targeting properties and retention time on the skin, increase drug solubility and protect it from degradation, provide sustained drug release and reduce dosing frequency. The current review summarizes the better nanotechnological systems that can be used in future for better and effective treatment of acne.
comprehensive review on vitamin B12 deficiency in adults
Authors: Mahajan Payal , Bishnupriya Bishnupriya , Chowdhury Tarannum Naaz , Goyat Jyoti , Wadhwa Kanika , Ashok Kumar C K
Published: August 2022

In the generation of proof-primarily based totally medicine, the randomized scientific trial corresponds to the pinnacle step withinside the qualitative scale of the proof to be had withinside the literature, whilst small collection of instances or the outline of person instances occupy the closing place. However, the latter constitute a critical a part of scientific exercise and feature substantially stimulated the evolution of medicine, contributing substantially to the development of medical knowledge. Vitamin B12 deficiency stocks numerous not unusual place signs that have an effect on numerous tissues and organs with fitness aliments, so its prognosis can be unobvious for the large array of its outcomes and research strategies used. In this review, we centered our interest on a few case reviews associated with the nutrition B12 deficiency related to anemia, neurologic disorders, and hyperhomocysteinemia. B12 deficiency reversal is actually performed with the aid of using spark off therapy, although it isn't the equal for numerous disorders.
Computerized Methodology to Analysis Customer’s Satisfaction Towards Digital Banking Services with Special Reference to Salem District in Tamilnadu
Authors: T. Ravisankar
Published: August 2022

The Banking System Plays a Vital Role in the Modern Banking Sector. In every state, progress depends mainly on the banking system. It is a similar payment system that allows bank clients or alternate money establishments to attempt to make a variety of monetary transactions during the entire period on the website of the commercial banks. The officials, scholars and banks have attracted interest. And Card transfer has assumed importance in the rear of modernization of the world, the effects from market forces and regulatory innovations. There have been created to make electronic payments accessible and incorporated. This is recent developments that have contributed immensely to economic growth of the banking sector. The information technology and e-commerce product is e-Banking. This research sheds light on the effects that affect clients' engagement with e-banking services.
Analysis of Long-Term Financial Position of Selected Steel Companies in India
Authors: M. Anandan  , P.Ashok
Published: August 2022

India was the world’s second largest steel producer in 2019. In the year 2019 the steel production was standing at 111.2 million tonnes. The growth of Indian steel sector is based on domestic availability of raw materials such as iron ore and cost-effective labour. Consequently, the steel sector has been major contributor to India’s manufacturing output. This study tries to find out the long-term financial position of selected steel companies in India. Five steel companies have been selected for the study. The period of study is taken from 2015 – 16 to 2019 – 2020. Various tools used like Mean. Standard Deviation, Coefficient of Variation, ANOVA and Correlation were used for this study.
Breaking t he Mould & Rewiring Management Education
Authors: Agarwal Hemlata
Published: August 2022

Introduction: The impact of the COVID-19 pandemic, release of New Education Policy and entry of the new generation - Gen Z, who are "location-aware" and speaks a “technological-language” in higher education as well as in work force has posed a challenge to not only educational institutes but also to recruiters. These Gen Zer’s are not fascinated to attend classes, listening to lectures, preparing notes, or mugging up for exams, In Its Place, they wish to participate in the learning process by doing practical things themselves. This necessitates a reflection on our teaching practices and learning environment to keep the students engaged in the classroom. Objective & Methodology: This paper will review Generation Z’s learning preferences from the existing literature as well as by way of an online survey to uncover some of the complex realities and challenges faced when educating Generation Z. MBA Sem III students, batch 2019-21 of a self-finance MBA institute were invited to participate in an online survey through google doc. Findings: It was found that there is a need to alter approaches of teaching to align to the beliefs and learning styles of these Generation Z. Teaching practices, course matter, and goals needs revamping to make it pertinent and connecting to this new generation of learners.
Gait ability on center of pressure excursion using a pressure-sensitive mat in the elderly with ischemic stroke: a case–control study with propensity score matching
Authors: Jeon Eun-Tae , Shin Ho-Jin , Lee Sang-Hun , Kim Seong-Hwan , Jung Jin-Man
Published: August 2022

Background: Center of pressure (COP) is a useful measure for dynamic balance, which directly represents the ability of weight shift and control of the foot, however, there is no study analyzing COP during whole stance phase in the elderly with acute stroke.Methods: A total of 30 acute ischemic stroke patients (mean age±standard deviation [SD], 75.0±5.6 years; 11 females) and 30 propensity score matched controls (mean age±SD, 72.8±5.9 years; 17 females) using age, sex, and Korean version of Mini-Mental State Examination score were finally included. Participants performed barefoot walking trials on a pressure-sensitive mat until 20 footfalls in each limb were corrected. To evaluate gait function based on COP, mean and coefficient of variance as variability were calculated for 3 types of variables as followings: (1) durations of sub-phases in stance phase, (2) mean locations and displacement ranges of COP, and (3) velocities.Results: Significant difference was observed in many of both mean and variability variables. Especially, stroke patients had an increased duration, posterior location of COP, wide range of mediolateral and anteroposterior displacement range, and slow velocity in foot flat phase belonging to the double limb stance. In variability variables, stroke patients had significantly larger variabilities of COP velocities in all sub-phases except in foot flat phase and late propulsive phase were stood out.Conclusions: The elderly with acute ischemic stroke had inefficiency during double limb stance and reduced functional balance in single limb stance in both sides, implying impaired gait ability on COP excursion in these patients.
Application research of intelligent Internet of things technology in industrial engineering in intelligent manufacturing
Authors: Gao Qingquan
Published: August 2022

The competition between countries around the world is becoming more and more intense, and it is the biggest problem facing enterprises to continuously improve production efficiency and control cost management. Among them, the processing and manufacturing industry applies the intelligent Internet of Things technology, and the intelligent Internet of Things technology has realized the reduction of operating costs. The intelligent Internet of Things technology is an important part of the processing and manufacturing management. This technology provides support for enterprises to use intelligent and automated processing tools. The technology efficiently completes various business operations, saves the cost of processing and manufacturing, and improves processing efficiency and product value. At the same time, this technology is also the focus of higher vocational teaching. The author gives a brief overview of the intelligent Internet of things technology, and then the author analyzes the application and exploration of intelligent Internet of things technology in processing and manufacturing. This article has certain reference significance for the industry.
Theoretical Analysis and Strategy Research of Desert Travel Model
Authors: Wang Junyi , Cui Yang Chenmiao , Xiao Chengming
Published: August 2022

In this paper, aiming at the decision-making problem of players' walking scheme in the game, according to graph theory, benefit and cost game, the optimal path model is established, which provides the choice scheme for players to complete the game, gives the walking scheme with the most remaining funds under the condition of completing the game, and solves the problem of finding the optimal scheme under the influence of other players' actions.
Research on Trading Strategy Based on Machine Learning
Authors: Wu Haolun , Ye Jiongkai , Wang Chenyi
Published: August 2022

In this paper, we choose the best trading strategy by building a suitable forecasting model. Specifically, we choose XGBoost, ELM, and long short-term memory network (LSTM) as our baseline models in constructing forecasting models. Furthermore, based on further predictions given by our model, we construct a set of ground rules. On this basis, two correction methods, disturbance correction and multi-step correction are proposed for the dilemma. Then we studied the investment period of this strategy and found that the optimal investment period is 1 day. Finally, a sensitivity analysis of the commission rates for bitcoin and gold is performed.
Optimal Programming of Cyclist Power Allocation Based on Genetic Algorithm
Authors: Zhao Jingjing , Dai HuiXiang
Published: August 2022

In this paper, we have analyzed the way of bicycle road races. By establishing relevant models, the power curves of different types of athletes are obtained. Firstly, we use the least-squares method to optimize the function, and introduce two different types of passengers and get specific parameters. Then, by constructing the fatigue degree, energy consumption model and cyclic motion model, the genetic algorithm is used to solve the problem, and the optimal energy distribution of different athletes on different tracks is obtained. In addition, considering the influence of uncertain factors brought by the weather and other environments, the scheme that the driver and the directeur sportif would obtain the local optimal solution and actively change the power distribution is analyzed, and the process of the team time trial is studied. Finally, the generality and sensitivity of the model are tested, and the advantages and disadvantages of the model are evaluated.
Asteroid Mining Impact Prediction Model
Authors: Xing Xingao , Jiao Shuchang , Zhu Ding , Zhang Yongzhe , Tang Jiejie
Published: August 2022

According to the Outer Space Treaty of the United Nations, "Space exploration shall be the common domain of all mankind," and all mankind should share outer space resources. With the continuous advancement of science and technology, the gap in comprehensive strength between countries is increasing, and there is a gap in the acquisition of outer space resources between countries. In order to measure the fair distribution of this resource, we quantify the fairness and formulate relevant policies by collecting data to build a model.
Research on Data Governance for Maximizing Enterprise Efficiency
Authors: Zhuang Hexin , Li Yiding , Zhang Ruichun
Published: August 2022

In an era where organizations are increasingly relying on data to perform their business, the ability of different companies to manage and analyze data will have a significant impact on their efficiency. In this paper, we develop a model to measure the current level of maturity of ICM's data and analytics (D&A) systems and optimize it to maximize the potential of its data assets. Based on the three critical components of personnel, technology, and process, we take ICM requirements as the starting point. After comprehensively considering the current situation of the industry and enterprise needs, an indicator system is built to measure the D&A system. Then, it is used AHP-CRITIC subjective and objective comprehensive empowerment, which determines the weight of each index accordingly. It is carried out the evaluation and analysis of the maturity of the D&A system and finally concluded that the maturity of the system is 0.879, and technology is the key influencing factor. Then this paper uses the System Readiness Level Index from a technical point of view, which includes the Technology Readiness Level index to measure the technological maturity and the integration readiness of the technology integration index, which can comprehensively optimize technical indicators. To maximize the potential of digital assets, we built the SRLmax model under resource-related constraints, equipped with a business process performance management (BPM) indicator system that comprehensively considered people and process components. Finally, we passed the SRLmax-BPM model to the D&A system. After comprehensive optimization, the optimized score is 25.16% higher than the original model.
Research on Resource Evaluation Mapping and Asteroid Mining Based on HFSE Model and Entropy Weight Method
Authors: Xiao Xinyuan , Zhong Zheng , Shao Jun
Published: August 2022

In view of the scarcity of resources, we analyze the mapping process from existing resources to expected production value from a humanitarian point of view. After analyzing the fairness index from six different angles, we propose a solution and establish an HFSE model that reflects the difference between a country's economic structure and expectations. In addition, we also synthesize six aspects of the fairness index through the entropy weight method and get the overall fairness of a country. According to the current global situation, the policy of asteroid mining has been put forward. These recommendations enhance global competitiveness promptly and ensure that industries with national characteristics can give full play to their advantages and develop productive forces in an all-around way.
Carbon Sequestration Model Based on Multiple Linear Regression
Authors: Wang Yuan
Published: August 2022

Proper deforestation promotes the development of man and nature, so it is necessary to design models to calculate the amount of carbon sequestered and further determine the value of forests. According to the formula for calculating the carbon sequestration of forest and its affiliated forest products, we use the intensity of human disturbance as a single variable to construct a differential equation for the relationship between forest and wood product accumulation. Combining five major indicators such as rainfall, temperature, and tree species, we constructed a multiple linear regression model for carbon sequestration using the data obtained for fifteen forests worldwide. As a result, we established the relationship between carbon sequestration and the influencing factors, learned the significant effects of tree species and artificial disturbance intensity on carbon sequestration, and further established the optimal forest plan.
Construction of Power Grid Stability Analysis System Based on Stochastic Process Theory
Authors: Jiang Ding
Published: August 2022

In recent years, the proportion of new energy power generation in the power supply has increased yearly. However, the random volatility generated by new energy generation poses a new challenge to the stability of the power system. In terms of stability analysis, the traditional methods based on the deterministic system can not fully describe the influence of random fluctuation. In this case, this paper introduces the power grid stability analysis method considering random influence. Based on the original model, this paper introduces the random fluctuation simulated by the Gaussian process, establishes the power grid model described by nonlinear stochastic differential equations, and gives the numerical solution format of the model with the help of the Euler method. Secondly, compared with the traditional method of quantifying the size of the escaping state of the system, this method considers the influence of the random variable on the stability of the system at the same time. Therefore, this paper establishes the stability analysis system of the power grid and further considers the influence of power grid topology and system parameters on system stability. By analyzing the Brass paradox, it is found that it is more reasonable to quantify the stability of the system with exit time. Finally, this paper uses the stability analysis system to study the stability of the high voltage power grid in Shandong Province and gives suggestions to improve the stability.
Trading Prediction Model and Strategy Formulation Based on Grey System
Authors: Li Fulin , Liu Shuai , Chen Rusong
Published: August 2022

In this paper, we study the optimal investment strategy between gold and Bitcoin, establish a market price forecasting system using the grey forecasting model GM (1,1), and calculate the optimal investment between gold and Bitcoin through the association rule algorithm. Optimal investment ratio, and then determine the maximum return. The establishment of predictive investment models helps investors to formulate optimal investment plans. The established model can use certain data from previous years to predict the future exchange rate prices of gold and bitcoin and help trading investors make optimal buying and selling decisions. It has a certain model planning ability for investment in real life and has specific practical significance for trade investors.
Forest System Comprehensive Evaluation Model
Authors: Liu Xiong , Yang Zehua , Zan Fengyi , Wu Chi , Qin Peiyu
Published: August 2022

In this paper, we developed a new forest system evaluation model, calculated the weight of each index through the EWM, and then evaluated the relative merits of these indexes by the TOPSIS. Finally, polynomial regression was carried out to obtain a function related to the forest area and these indexes. Forest managers only need to substitute the local related indicators into the function, and then they can get the area with the highest comprehensive benefit of the local forest, and then they can fully manage and utilize the forest through cutting and planting strategies.
Dynamic Scheduling Strategy for Multiple AGVs based on 0-1 Planning Model
Authors: Yang Bo , Wang Haoyu , Tong Xiangwen , Duan Wanghao
Published: August 2022

The coordination of handling robots and AGVs can greatly improve the efficiency of unmanned warehouse picking operations and realize the automated management of warehouse logistics. The unreasonable scheduling scheme can lead to local congestion and collision of AGVs and reduce the picking efficiency of the unmanned warehouse. Therefore, this paper conducts an in-depth study on the scheduling mode of AGVs. When assigning orders, this paper designs an order-oriented double matching method, with the shortest total path length of AGV as the objective function, and establishes a 0-1 planning model to complete the matching of order-storage position nodes-AGV. The AGV searches and selects the nearest picking station node whose docking position is not full when it leaves the warehouse. In addition to the main order list, a workstation task list is created, and the workstation tasks are released by the picking stations, including return and recovery. In this paper, the default order and workstation tasks have the same priority, and the task selection order is the same as the release order. The 0-1 planning model is solved using a genetic algorithm to match the AGV with the order or station task that has the shortest path to completion.
Base Station Location Modeling and Signal Coverage Optimal Design Based on Genetic Algorithm
Authors: Li Yongqi , Peng Peigen
Published: August 2022

With the development of mobile communication technology, the rapid information transmission of 5G communication technology at this stage is full of It meets people's increasing communication needs, but its large bandwidth and small base station coverage make the planning problem of communication network more and more complicated. Therefore, it is particularly important to optimize the deployment of base station location selection. The problem is a regional clustering problem based on distance and density, and the object of clustering is the given weak coverage points that exist in the area. The severity of the signal loss of each weak coverage point is visualized through the heat map, and each weak coverage point is defined as a label based on two levels of "signal loss degree" and "distance between sites", and then aggregated by DBSCAN. The class model performs hierarchical label search, and groups the points with the same two-layer label into one class, so as to realize the density-based regional clustering of weak coverage points. The model combines hierarchical clustering and density clustering to achieve the effect of multi-layer synchronous density clustering, making it faster in processing, and in terms of clustering results, the degree of signal loss and point distance Carry out more comprehensive clustering, so that the finally obtained clustering area points have stronger interrelationships and achieve better clustering effect.
A model for measuring D&A systems and their applications
Authors: Shi Xiaochen , Jiang Ruini , Li Jinyuan , Jike Quzuo , Lei Cong
Published: August 2022

Data is an indispensable strategic asset for various incorporations. In this paper, we deeply explore the model for evaluating the R&D and system of ICM company and effects on different scales and industries.we build a D&A system maturity evaluation model through the fuzzy analytical hierarchy process and recommend changes to the company system based on this model. The current D&A system maturity level of ICM company include key performance indicators of the success of staff, technology and processes, so as to obtain the quantitative evaluation index of the company's D&A process and technology level.we use the model at ICM to determine their current D&A maturity level and demonstrate how they use the model to optimize the system, allowing companies to maximize the potential of their data assets. It is of great essence to establish a goal programming model to optimize the indicators again, so as to formulate specific strategies.At last, we also summarize the strengths and weaknesses and provide insights to ICM customers about the D&A system.
Analysis on Lightweight Network Methods and Technologies
Authors: Liu Xirui
Published: August 2022

There are currently two main schools of deep learning. One is academic. They pursue stronger performance through powerful, complex models. The other is the engineering school. Their purpose is to efficiently deploy models to various hardware platforms. Complex models have better performance. However, it also brings unavoidable consumption. With the increasing depth of convolutional neural networks, lightweighting has become a key research direction. There are currently four main methods for designing lightweight networks. This article will first introduce CNN model compression and basic convolution operations.This paper also introduces the model compression based on AutoML and the automatic animation design based on NAS. Finally, according to the above three points, this paper introduces the application of the above methods in artificially designed neural networks.This paper mainly introduces the step-by-step evolution of the existing methods. This paper analyzes aspects of current neural network improvements and emerging problems. The significance of this paper is to summarize and deepen the solved problems and key problems in the lightweight process through past experience.
Prediction of Electric Load Neural Network Prediction Model for Big Data
Authors: He Xinhao
Published: August 2022

The characteristics of non-stationarity, non-linearity, and long-memory of the stock index series make it challenging to forecast. In order to improve the prediction accuracy of the existing models, this paper proposes a new ensemble prediction model of CSI 300 index returns by integrating variational mode technique and long short-term memory, which consists of particle swarm optimization (PSO), variational mode decomposition (VMD), sample entropy (SE) and long and short-term memory networks (LSTM). The stock index prices of the CSI 300 index during three consecutive months from October 2021 to December 2021 are selected as the research sample, and 48 sets of data are obtained in the 5-minute set every day, totaling more than 2,900 trading data as the modeling object, and the volume-weighted average price (VWAP) index is introduced to portray investor behavior. The experimental comparison shows that this method gives the smallest root mean square error and the best prediction fit, which significantly outperforms the existing portfolio model and has significant prediction advantages.
The Development of Carbon Dioxide Captures and Biochemical Transformation of Carbon Dioxide
Authors: Guo Jiaqi , Hu Yijia , Zhao Yifan
Published: August 2022

In recent years, human activities have led to significant CO2 emissions. The increase in energy consumption and emissions of greenhouse gases (mainly CO2) has led to consequences such as global warming and an accelerated rate of glacial melting, making global environmental development more challenging. Even though the monoethanolamine (MEA) method of capturing carbon dioxide is now widely used in industry, the disadvantages of this method still exist, mainly because of the difficult economic balance. Since CO2 is inevitable due to human activities, converting the generated CO2 into high-value clean energy to alleviate the greenhouse effect is a current research hotspot. Therefore, finding a perfect method for capturing CO2 from industrial and commercial operations as soon as possible is certainly a high priority. This paper provides an overview of the basic principles and practical applications of physical and chemical methods of CO2 capture and biochemical technology in the conversion of the captured CO2 into value-added products. The paper describes the current status and challenges faced in the application of carbon capture and storage (CCS) technology worldwide, and finally shows the advantages and prospects of each method. This will lead to the development of a new carbon economy with commercial value, which in turn will facilitate the implementation of CCS on a global scale, ultimately leading to the goal of global carbon neutrality.
Study on Chinese Medicine Health Scheme of Yang Deficiency Constitution
Authors: Wang Wenqi , Xue Wei
Published: August 2022

Constitution is people innate inherent genetic factors or acquired external multiple factors formed by a structural, physiological, psychological conditions have a certain stable, adjustable human characteristic. "Huangdi Neijing Lingshu Shouxian rigid and soft theory" said: " people have differences between strength and softness, strength, length, Yin and Yang. People's strong or weak constitution shows their susceptibility to most diseases. By adjusting the biased body state, make it more peaceful, to achieve the goal of "prevention and treatment before disease", "prevent degeneration after disease". Qi is the foundation of all things in the world. Qi in people's body is all over the body. According to the distribution and characteristics, it can be divided into five qi (Yuan, zong, Ying, Wei and zhong qi), and this qi is called Yang qi. Yang deficiency refers to the lack of Yang in people's body, and the general body is tends to deficiency cold. According to the physical characteristics of Yang deficiency, the integration of disease prevention and treatment with physical fitness has a great guiding significance for clinical practice. In this regard, the author has inquired and sorted out the relevant literature in recent years, to review the diseases possibly induced by Yang deficiency constitution, and to discuss the research of traditional Chinese medicine health preservation methods of Yang deficiency constitution.
Preface: 2022 International Conference on Biochemical Engineering and Environmentally Friendly Material (BEEFM 2022)
Authors: Gunther Miranda , Pan Disheng
Published: August 2022

2022 International Conference on Biochemical Engineering and Environmentally Friendly Material (BEEFM 2022) was successfully held online from May 14 to 15, 2022 in Xi'an, China. The conference invited scholars and experts in the fields of chemistry, biology, environmental engineering and materials application from various universities and institutes, to participate in the review and guidance of this conference. The conference focuses on the latest research fields, and provides an international cooperation and exchange platform for experts, scholars and business managers in these fields.

The aim of BEEFM 2022 is to share the research achievements, discuss the key challenges and research directions of the development, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the special committee.  

Due to travel restrictions and indoor activities related to COVID-19, we were forced to move BEEFM 2022 online. Attendees were notified one month in advance that the on-site conference was changed to an online conference. The online conference was held on the video conferencing software. Because of the wide coverage of this conference and the large number of attendees, we divided the conference into main session and sub-sessions. The opening ceremony was held in the main session and a speech was delivered by the invited speaker. After the main session, we divided the participants into three sub-sessions. Each author spoke for about 15-20 minutes on detailed material in the slides, with the same amount of time set aside for questions and discussion. The format of questioning and discussion was that after each author's introduction, the conference chairman and committee members asked and answered questions. At least one attendee could ask questions that will be answered by the speaker.

BEEFM 2022 had brought together many excellent works, latest ideas and concepts. New ideas have been provided in the fields of chemistry, biology, environmental engineering and materials application. Look forward to meeting again next year.

BEEFM 2022 Conference Scientific Committees

Xi'an, China
Effects and Detection Methods of Potential Toxic Chemicals in Cosmetics: Metals, Phenoxyethanol and Aloe Vera
Authors: Li Yunfei , Xu Rong , Zuo Yilin
Published: August 2022

Cosmetics are widely used, but some components can be toxic at a certain dose. Thus, it is emerging to understand the toxic chemicals in cosmetics and their potential impact. This review introduces common cosmetics components with toxicity including metals, phenoxyethanol and Aloe vera. Toxic effects include some local effects, such as osteomalacia caused by metals, eye irritation, skin irritation and allergy caused by phenoxyethanol, as well as colonic mucosa caused by Aloe vera. Toxic chemicals in cosmetics are usually absorbed via the skin, and degraded in liver, then exerted through kidney and forceps. Methods to determine potential toxins includes determining heavy metals in skin-whitening cosmetics, fluorescence-based assay and the first voltametric method of phenoxyethanol determination. Future research may focus on exploring the effects of accumulation of toxic components and mechanisms of the toxicities to prevent toxic effects, as well as improving the efficiency of testing to better monitor the commercial cosmetics.
Mechanism and Application of Metal-Organic Framework in Wastewater Treatment
Authors: Gao Ruiyi
Published: August 2022

In recent years, wastewater has been concerned to be a serious problem since it is harmful to the natural environment and toxic for animals and humans. Two major sources that create the pollutant is heavy metal ion and dyes in industry. Metal-organic frameworks with easily modified characteristics and high surface area, as a new material that performs well in wastewater treatment, have become excellent adsorbents for removing heavy metal ions and dyes through adsorption and catalysis processes. This review described the mechanism of waste material removals, such as π-π interactions, electrostatic interaction, and hydrogen bonds interaction. In addition, to further understand the mechanism, the factors such as pH, temperature change, and initial concentration of dyes are also mentioned in this review. Specific MOF for the removal of different hazardous materials is discussed. Finally, future research on MOF material is suggested, and prospecting further development of MOFs in wastewater treatment.