bluuebunny/crossref_metadata_2025 huggingface dataset:
Partogram in trial of labor after cesarean section
Authors: Al-Alwani Ban Riyadh Ibrahim , Al-Alwani Abeer Riyadh Ibrahim , Sarsam Samar D.
Published: July 2022

Background: In recent decades, the proportion of caesarean sections to vaginal delivery has increased substantially for various reasons, and a trial of vaginal birth after a caesarean section may save many pregnant women from recurrent cesarean sections and their complications. Aim: Aim is to detect whether partogram is applicable in the monitoring of a trial of labor after cesarean section. Patients and methods: A cross sectional observational study was conducted at AL-ELWIYAH maternity teaching hospital. Partogram was studied for (200) term pregnancy patients with previous one cesarean section for a non-recurring cause. Both the advantages and disadvantages of vaginal birth after cesarean section and a repeat cesarean section were explained and an informed consent is obtained. Their partograms were studied and at any time during the trial if an indication of cesarean section appeared the trial would be abandoned and an emergency repeat cesarean section would be performed. Result: Among the (200) patients included in the trial the following results were obtained: (170) patients delivered vaginally hence success rate was (85%).
Approach of analytical quality by design and regulatory need
Authors: Mahapatra Asmita , Meyyanathan S. N.
Published: July 2022

This paper gives idea about the Pharmaceutical Quality by Design (QbD) and describes use of Quality by Design to ensure quality of Pharmaceuticals. Quality cannot be tested into products but quality should be built in by design. The concept of QbD can be extended to analytical methods. The emphasis of AQbD approach is on understanding of the operation and the variables affecting Analytical Methods employed in product development. The variables which affect the output are identified and subjected to thorough risk assessment employing various tools and techniques discussed in the article, after which the variables are optimized. The final method is validated and a control strategy is put in place.  Pharmaceutical firms increased the number of product development by using scientific tools such as QbD (Quality by Design). ICH Q11 guidelines clearly discussed QbD approach for API synthesis with examples. It is a current trend among pharmaceutical industry to implement analytical quality by design (AQbD) in method development process as a part of risk management, pharmaceutical development, and pharmaceutical quality system (ICH Q10). QbD has its perspectives to contribute the drug design, development, and manufacture of high-quality drug products.
Colloids and Nanoparticles: Implications for Hydrothermal Precious Metal Ore Formation
Authors: Saunders James A.
Published: July 2022

Research on nanoscale processes is expanding in many scientific and technical disciplines, and economic geology is no exception. The idea that colloidal gold particles (or nanoparticles) may have played a significant role in ore formation was initially based on textural evidence from high-grade epithermal veins. More recently, the discovery of gold nanoparticles in some present-day geothermal systems and several orogenic gold deposits suggests that their formation could be a common process in gold-supersaturated hydrothermal solutions. Rare laboratory studies indicate that gold nanoparticles typically aggregate to form dendritic clusters. Over time, these dendrites perhaps can evolve to form coarser-grained crystals as subsequent annealing and recrystallization occurs. Due to the ephemeral nature and later recrystallization of dendrites, evidence of their former existence is commonly obscured. However, newer nanoscale imaging technologies have resulted in an increased recognition of their presence in hydrothermal gold ores, and thus their role in ore-forming processes merits further research. In particular, does their nucleation and deposition lead to forming higher-grade ores?
Lay Town Court Judges in Nineteenth-Century Finland: The Case of Kuopio and Vaasa
Authors: Vasara-Aaltonen Marianne
Published: July 2022

This article examines lay judges at the town courts of Kuopio and Vaasa during the nineteenth century. Even after the annexation to Russia in 1809, the Finnish judiciary—traditionally lay-dominated—continued functioning largely in the same way as it had during the Swedish period. This meant, among other things, that laymen continued functioning as judges at small town courts. However, especially during the second half of the century, Finnish society changed in many ways. After the Diet began convening again after 1863, many legal reforms were also carried out, paving the way for legal modernization. This article examines Finnish town court judges in the context of the societal and legal changes of the nineteenth century. The backgrounds and careers of lay judges as well as their activities in the town courts are investigated. Finally, the article argues that despite the budding legal modernization and the profound changes that took place in Finnish society, the changes to the judiciary in small towns remained limited. Laymen continued to play an important role in small town courts, and the cases as well as the legal procedure remained simple.
Review on the Development of Truss Bridges
Authors: Niu Qianrui
Published: July 2022

Bridges will always be an important project on human beings’ development. The society is in continuous decelopment, and the construction never stop, thus, the demand for bridges has been increasing for thousands of years. The bridge which can take more loads whilst using less materials will replace old one. And then the truss structure and truss bridges gradually come into public’s view. For the special triangle structure applied on them, the truss structure and truss bridges become of vital important in engineering, using the truss structure on the bridges which have long span can save a lot of money, and because of its special triangle structure, truss bridges can get the same or even more intensity than other bridges in different material. And the development of the truss can be tracked back to the simple wood structure, whilst the current truss bridges use some new materials such as shape memory alloys and modified reinforced concrete. The current study gives an overview on the development history about truss bridges in all ages from China to the world, and will discuss the alternative from material to the structure.
Preparation and performance evaluation of small molecule ammonium salt inhibitors synthesized from mixed amines
Authors: Liu Huaizhu
Published: July 2022

This paper focuses on the synthesis of polyhydroxy small molecule amines using mixed amines as raw materials. The anti-swelling experiment, swelling shrinkage experiment, linear swelling rate and clay hydration experiments were used to evaluate the application effect of the synthesized products in oilfield water-based drilling fluids. and suitable inhibitors were selected. The inhibition mechanism was investigated by TGA, laser particle size analysis and SEM. The inhibition of clay hydration swelling was best at a concentration of 0.1% with a 1:3 mass ratio of mixed amines to phosphoric acid, i.e., the product HS-1. The results of anti-swelling, swelling shrinkage and linear expansion experiments showed that the anti-swelling rate of 0.1% HS-1 on clay was 72.97%, the swelling shrinkage rate was 54.50% and the linear expansion rate was 27.30%, which was similar to the effectiveness of 4.0% KCl. It showed good inhibition of hydration swelling dispersion of clay.
Sinus Pauses and Asystole as a Rare Presentation of Thyrotoxic Crisis: A Case Report
Authors: Akem Dimala Christian , Sandhu Charnjeet , Oladiran Oreoluwa , Mochon Agnieszka , Finneran William
Published: July 2022

INTRODUCTION: Thyroid crisis is a rare and life-threatening endocrine emergency characterized by exaggerated clinical manifestations of hyperthyroidism with cardiovascular manifestations being the most severe. Rhythm disturbances, sinus tachycardia and atrial fibrillation, are the commonest cardiac manifestations of severe thyrotoxicosis; however, asystole remains a very atypical and uncommon presentation. We present a case of thyrotoxicosis due to Grave’s disease complicated by multiple episodes of asystole. CASE PRESENTATION: A 65-year-old female recently diagnosed with Grave’s disease presented to the hospital with recurrent episodes of syncope. Her hospital course was significant for atrial fibrillation with subsequent progression to sinus pauses and asystole spontaneously reverting to atrial fibrillation. Her thyroid hormone levels were found to be markedly elevated at the time of presentation. She was initially managed with a temporary pacemaker but ultimately transitioned to a permanent dual-chamber pacemaker, in addition to concurrent anti-thyroid treatment with propylthiouracil and prednisone. She made an uneventful recovery and was discharged from hospital a few days later with scheduled outpatient follow-up. CONCLUSION: Asystole due to hyperthyroidism remains a very uncommon presentation of severe thyrotoxicosis, and in rarer situations can occur in hyperthyroid patients without any associated predisposing conditions such as infection, inflammation or medication use as previously reported. The mechanisms underlying this rhythm disturbance remain elusive, nevertheless, its management may require a permanent pacemaker placement in addition to concurrent medical treatment of the underlying cause and the thyroid hormone disturbance using standard hyperthyroid medications.
Short-term Clinical Outcomes of Unexpected Culture-positive Cutibacterium acnes (Formerly Propionibacterium acnes) in Open Orthopaedic Surgery
Authors: Sanderson Brent R. , Saini Atul , Chiang Emerald , Linton Kristen , Brien Earl W.
Published: July 2022

Introduction:

The clinical significance and treatment recommendations for an unexpected positive Cutibacterium acnes (C acnes) culture remain unclear. The purpose of our study was to evaluate the clinical effect of a C acnes positive culture in patients undergoing open orthopaedic surgery.

Methods:

Patients with a minimum of one positive C acnes intraoperative culture were retrospectively reviewed over a 7-year period. True C acnes infection was defined as culture isolation from ≥1 specimens in the presence of clinical or laboratory indicators of infection.

Results:

Forty-eight patients had a positive intraoperative C acnes culture. 4.2% had a C acnes monoinfection, and 12.5% of the patients had a coinfection. The remainder was classified as indeterminate. Significant differences were identified between the indeterminate and true C acnes infection groups, specifically in patients with surgery history at the surgical site (P = 0.04), additional antibiotic therapy before surgery (P < 0 .001), and postoperative clinical signs of infection (P < 0 .001).

Discussion:

Suspicion for true C acnes infection should be raised in patients with surgery site history, antibiotic therapy before surgery, and clinical infectious signs. The indeterminate unexpected positive culture patients had a low risk of developing a true clinical infection that required antibiotic therapy.
Patient Experience and Perspective on Medical Cannabis as an Alternative for Musculoskeletal Pain Management
Authors: Mangual-Pérez Danny , Tresgallo-Parés Ruben , Ramírez-González Manuel , Torres-Lugo Norberto J. , Rivera-Dones Asdrúbal , Rivera-Rodríguez Gustavo , Claudio-Marcano Alexandra , Lojo-Sojo Luis
Published: July 2022

Introduction:

The current rate of opioid prescription is disquieting because of their high abuse potential, adverse effects, and thousands of overdose deaths. This situation imposes urgency in seeking alternatives for adequate pain management. From this perspective, this study aimed to evaluate the experience and the perceived analgesic efficacy of medical cannabis in managing the pain associated with musculoskeletal conditions.

Methods:

A 28-question survey was distributed to patients at a major medical cannabis center in Puerto Rico for 2 months. Demographics, medical history, cannabis usage, cannabis use perspective, and analgesic efficacy were assessed in the questionnaire.

Results:

One hundred eighty-four patients completed our survey. The majority (67%) were males, and the participants' average age was 38 years. This study showed an average pain reduction score of 4.02 points on the Numeric Rating Scale among all the participants. Those with musculoskeletal conditions reported a notable average pain reduction score of 4.47 points. In addition, 89% of the participants considered medical cannabis to be more effective than narcotics for adequate pain management.

Conclusions:

This study demonstrated that the use of medical cannabis among patients with musculoskeletal conditions effectively reduced pain levels based on their Numeric Rating Scale reported scores.
New Trends in Korean Documentary Film: Focusing on after 2010
Authors:   Asia Cultural Creativity Inst., Park Byungeun
Published: July 2022

In the midst of new discussions on documentary recently, the question of a suitable format to better embody the characteristics of documentary material that has changed since 2010 is showing an aesthetic attempt, breaking away from the conventional documentary format based on experimentation. These attempts reflect experimental attempts of visual or auditory images.
The great interest in documentary aesthetics and the movement of the documentary director‘s new production method are gradually shifting from discussions on documentaries that emphasized meaning and content to discuss aesthetic experiences and production to artistic expressions.
Since 2010, it has been a new starting point and turning point for changes in discussions on documentaries. As a result, the newly emerging group of creators began to create documentaries with various materials in new forms. It paid attention to documentary films that have been produced in a new format since 2010. This is because documentaries produced after 2010 are gradually reflecting on documentaries that emphasized the meaning and content of social change, continuing to discuss production to express aesthetics and art.
On a Specific Intermolecular Interactions in Nematic Liquid Crystal Systems
Authors: Bezhanova L. S. , Atanesyan A. K. , Sukiasyan R. P.
Published: July 2022

The aim of this study was the investigation of the molecular structure of Nematic Liquid Crystal Systems that are based on polar liquid crystals, whose molecules have a large dipole moment directed along the long axis of the molecule. The investigation has a practical importance in the development of the new LC materials for electro-optical systems. In this work, the investigation of a specific intermolecular interaction – the formation of charge transfer complexing (CTC) in LC systems − was carried out by UV and IR spectroscopy. A long−wavelength shift of the CTC absorption band is found. The complicated dependence of optical density of the absorption band of the donor and CTC on the initial donor concentration has been obtained. The correlation between the optical density of the absorption bands of the CTC and donor, on the one hand, and the phase diagram, on the other, was demonstrated to occur in the investigated systems. The analytical expressions for equilibrium constants of complexation process were derived, and the concentrations of the complexes were determined based on the absolute rates reaction theory.
Interferometric Method for Determination of X–ray Train Length
Authors: Drmeyan H. R. , Mkhitaryan S. A.
Published: July 2022

It is elaborated, made and tested a special interferometer–train metering device. А method for interferometric determination of X–Ray train length is offered. It is proved that the interference pattern disappears, when the path difference between imposing waves is more than the monochromatic X–Ray train length. The limit of disappearance of interference pattern depending on the value of path difference is determined. The X–Ray train length is determined which is close to the meaning determined theoretically.
X–Ray study of structural changes in the liquid crystal systemAOT / N–Heptane–Water depending on the concentration of components
Authors: Sargsyan A. G. , Grigoryan S. M.
Published: July 2022

The work investigated the structural changes of the multicomponent liquid crystal system sodium salt of di– (2–ethylhexyl) ester of sulfosuccinic acid (AOT) –n–heptane – water depending on the concentration of AOT in a mixed solution by X–ray diffraction. The studies were carried out in a wide concentration range from 27 to 92% AOT in a mixed solvent with an initial n–heptane / water ratio of 5.8. The studies were carried out with a gradual decrease in the n–heptane / water ratio to the content of bound water in the system and an increase in the concentration of AOT in the solution to 92%. The mesomorphism of the liquid crystal system is established depending on the content of the concentration of the components and the region of the compact liquid crystal lamellar “smooth” phase for modeling biological membranes is established
Investigation of structural changes in the liquid crystal system AOT / n–heptane–water under the influence of vitamin E by the method of X–ray analysis
Authors: Sargsyan A. G. , Grigoryan S. M.
Published: July 2022

Structural rearrangements of the lyotropic liquid–crystal system sodium salt of di–(2–ethylhexyl) ester of sulfosuccinic acid (AOT) –n–heptane – water under the influence of vitamin E were studied by X–ray diffraction. The studies were carried out in the concentration range from 50 to 80% AOT+E in a mixed solvent n–heptane/water. The studies were carried out with a gradual increase in the concentration of vitamin E in the system and with an increase in the concentration of AOT + E in a solution of n–heptane/water. It has been established that, in the model liquid crystal system under study, vitamin E penetrating into the structure of the liquid crystal phase AOT–n–heptane–water leads to structural rearrangements and compactization of the molecular packing of the “smooth” phase.
Aeroionizers for Prevention of Viral Diseases
Authors: Abrahamyan A. S. , Mkrtchyan A. H. , Badoyan V. E. , Chilingaryan R. Yu. , Hakobyan M. A. , Hovhannisyan H. T. , Mkhitaryan S. A.
Published: July 2022

The article describes new types of air ionizers designed in the “Acoustophysics” laboratory of the Institute of Applied Problem of Physics of the National Academy of Sciences of the Republic of Armenia. These types of ionizers are created not only for the purpose of cleaning the air in the living and industrial areas from dust, but also fight against different types of viruses, which is especially important during periods of pandemics. The justification of the efficiency of aeroionization is given. The safety of using the developed ionizers has been shown even with continuous operation for a long time. A completely new method for testing the effectiveness of the developed ionizers is also described in detail.
Reproductive Health Knowledge with Academic Context: A Study on Teenaged High School Girls of Pabna municipality
Authors: Begum Mst. Fatema , Md. Awal Kabir  , Islam Md Jahidul
Published: July 2022

Abstract

Regarding human development context adolescence period have a significant role in human life. On this time the teenager specially, the teenaged girl has to suffer on some physical change. That means a girl going on development on reproduction. Unconsciousness, shy feeling, use of unhygienic equipment, lack of sharing is responsible for different type of health complexity like; urinary tract infection, cervical cancer, multiple sexually transmitted disease, unwanted pregnancy, toxic shock syndrome etc. If these knowledge and consciousness spreads in adolescent girls in school stage then it can play an important role to eliminate multiple complexity in adolescent period. Healthy knowledge about adolescent period like puberty, sharing, menstruation, maintained sanitary condition, early marriage, sexually transmitted disease etc could be included in text book. In this situation government, effective step can help to reducing adolescent complexity by recruiting well trained teacher. By educating adolescent girls and maintaining healthy relation between teachers and students  can contribute to reduce complexity of teenagers. In this context Pabna municipality contained numbers of government and non-government school where teenaged girls (13-19 years) are studying specially 8th to 10thclass girls considered for research respondent and this collected data uphold the scenario of reproductive health knowledge among adolescent girls. On the basis of data analysis finally, a set of recommendations have been made for adolescent girls to reduce reproductive health complexity and maintained sound health at adolescent period.

 

Keywords: Reproductive health knowledge, academic context, teenager.
ANALISIS KEBAKARAN TANGKI TIMBUN TIPE ALUMINIUM GEODESIC DOME ROOF
Authors: Kukuh wibawa Tatang
Published: July 2022

ABSTRACT

 

A Storage tank at oil refinery caught fire on Saturday, November 13, 2021 at 20.00 Wib. The burnt tank with a capacity of about 31,000 kiloliters (kl) was fully filled, the impact caused by the fire was in the form of direct losses, damage to surrounding infrastructure and other losses. The research method is to examine the level of damage to the condition of the storage tank due to fire by examining the parts of the tank to determine the location of the first fire location. The second is to carry out a thorough inspection of data and technical information on the tank, operations and systems. The third is carrying out inspection and data analysis, technical information on the installed tank, testing and measuring in the tank. Then the four carry out an analysis of the fire process and conclude from the overall results of the inspection.The results of the fire/explosion was the ignition of Pertalite type hydrocarbon liquid vapor which had reached the flammable range and the explosion limit in the Northwest Part of the Aluminum Geodesic Dome Roof Tank by a lightning strike which could cause tear/melt on the Aluminum Geodesic Dome Roof and damage to the Seal (Seal Hub Cover Gusset and Batten Gasket Sturt) Tank and the inability of the bounding grounding system of the roof cover to the wall and GT (Ground Tank) 1-8  transferring lightning strike currents.

 

 

ABSTRAK

 

Sebuah tangki pada kilang minyak terbakar pada Sabtu, 13 November 2021 pukul 20.00 Wib. Tangki yang terbakar dengan kapasitas sekitar 31.000 kiloliter (kl) terisi penuh, dampak yang diakibatkan kebakaran berupa kerugian langsung, kerugian infrastruktur sekitar yang terdampak dan kerugian lainnya. Metode penelitian ini pertama melakukan pemeriksaan tingkat kerusakan kondisi tangki timbun akibat kebakaran dengan memeriksa bagian-bagian tangki untuk menentukan lokasi api pertama kebakaran. Kedua melaksanakan pemeriksaan data dan keterangan teknis menyeluruh terhadap tangki, operasional dan sistem nya. Ketiga melaksanakan pemeriksaan dan analisa data keterangan teknis terhadap tangki yang terpasang, pengujian dan pengukuran di tangki. Kemudian keempat melaksanakan analisa proses terjadinya kebakaran dan menyimpulkan dari keseluruhan hasil pemeriksaan. Hasil penelitian disimpulkan penyebab terjadinya kebakaran/ledakan adalah tersulutnya uap cairan hidrokarbon jenis Pertalite yang sudah mencapai batas mudah terbakar (flammable range) dan explosion limit di Bagian Barat Laut pada Aluminium Geodesic Dome Roof Tangki Timbun oleh sambaran petir yang dapat menyebabkan sobekan/pelelehan pada Aluminium Geodesic Dome Roof dan kerusakan pada Seal (Seal Hub Cover Gusset dan Batten Gasket Sturt) Tangki Timbun serta ketidakmampuan sistem bounding grounding tutup atap terhadap dinding GT (Ground Tank) 1-8 dalam mentransfer arus sambaran petir.
An Empirical Study Towards an Automatic Phishing Attack Detection Using Ensemble Stacking Model
Authors:   Future University, Othman Mahmoud , Hassan Hesham ,   Cairo University
Published: July 2022

Phishing attacks are one of the most attacks facing internet users, especially after the COVID-19 pandemic, as most organizations have transferred part or most of their work and communication to become online using well-known tools, like email, Zoom, WebEx, etc. Therefore, cyber phishing attacks have become progressively recent, directly and frankly reflecting the designated website, allowing the attacker to observe everything while the victim is exploring Webpages. Hence, utilizing Artificial Intelligence (AI) techniques has become a necessary approach that could be used to detect such attacks automatically. In this paper, we introduce an empirical analysis for automatic phishing detection using several machine learning classification algorithms compared with an ensemble learning model for detecting phishing sites based on the uniform resource locator (URL) using two preprocessed datasets. In this empirical study, we concluded that the ensemble model grants accuracy 97.49% for dataset 1 and 98.69% for dataset 2, which gives higher accuracy than using a single machine learning classification algorithm such as Naive Bayes (NB), Random Forest (RF), Decision Trees (DTs), K-Nearest Neighbors (KNN), and linear and Quadratic Discriminant Analysis. We also compared the proposed ensemble model with one of the most recent similar models.
TEXTUAL EMOTION DETECTION APPROACHES: A SURVEY
Authors:   Future University, Zidan Mahinda , Elhenawy Ibrahim ,   Department of Computer Science, Faculty of Computer and Informatics, Zagazig  University, Egypt., Abas Ahmed ,   Department of Computer Science, Faculty of Computer and Informatics, Zagazig  University, Egypt., Othman Mahmoud ,   Future University
Published: July 2022

Over the past decades, social media attracted individuals to express their feelings on any topic or item, resulting in an incremental growth in the size of created data. These feelings and unstructured data paved the path for business organizations to gather information and build statistical analysis. Various machine learning and natural language processing-based approaches are used for sentiment and emotion analysis. Moreover, deep learning-based approaches recently gained popularity due to their remarkable performance in text analysis. This paper provides a comprehensive overview of the prominent machine learning models applied in emotion analysis. It explores various emotion analysis taxonomies, in addition to the constraints of prevalent deep learning architectures. The paper also reviews some of the previously presented contributions in emotion analysis with a focus on deep learning methodologies as well as the most common datasets. It presents a comprehensive comparison between several emotion analysis models. This paper demonstrates the effectiveness of learning-based techniques in tackling emotion analysis challenges.
Using Data Mining Techniques to improving Key Performance Indicators
Authors:   Faculty of commerce, Helwan University, Egypt, Khalaf Assem , Zaied Abdel Nasser ,   Misr International University (MIU), Egypt., Hagag Riham ,   Faculty of commerce, Helwan University, Egypt
Published: July 2022

The study provides a framework for improving the most key performance indicators and arranging them according to the degree of impact in order to enhance decision-making, speed and increase accuracy in data analysis, reduce mismanagement and time to take appropriate decisions a timely manner and ensure that the organization is moving towards achieving its goals, through one of the techniques of business intelligence (Data Mining and Knowledge discovery) and choosing the best technique that can be used to improve the key performance indicators.
Fuzzy Reasoning Procedure for Ontologies based on Rough Membership Approximation
Authors:   Ahmadu Bello University, Nigeria, Florentin Armand , Opeoluwa Babatunde ,   University of Ibadan, Nigeria
Published: July 2022

One of the major challenges in modeling a real-world domain is how to effectively represent uncertain and incomplete knowledge of that domain. Several techniques for representing uncertainty in ontologies have been proposed with some of the techniques lacking provision for vague inference. The classical tableaux-based algorithm does not provide the flexibility for reasoning over such vague ontologies. However, several extensions of the tableaux-based algorithm have been proposed to cope with fuzzy reasoning. Similarly, several alternative reasoning methods for incomplete, inconsistent, and uncertain ontologies have been proposed. One of the major limitations of most of those techniques is that they require reengineering existing ontologies to cope with uncertainty. This paper proposes a satisfiability algorithm for vague ontologies that uses a rough set to approximate the concepts and roles. The proposed technique takes advantage of the existing ontology knowledge base to achieve vague reasoning without the need of reengineering the ontology. The results show that the proposed technique conforms to the tableaux-based algorithm while providing a way of reasoning over the uncertain aspects of ontologies.
Preface: 2nd International Conference on Economic Development and Innovation (EDI 2021)
Authors: Deng Xinrong , Wang Pin , Liu Juan
Published: July 2022

We are delighted to present this Conference Proceedings of 2nd International Conference on Economic Development and Innovation (EDI 2021). EDI 2021 was held from December 11-12, 2021 in Hong Kong by Hubei University of Economics, Shandong University of Finance and Economics, and Hubei XueErSheng Cultural Communication Co., Ltd.

The aim of EDI conference series is to provide a platform for educators, teachers, policy makers, publishers, scholars, and graduate students, etc. from different cultural backgrounds to present and discuss research, developments and innovations in all fields of Economic Development and Innovation. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.

This EDI received 107 manuscripts, and 46 submissions had been accepted by our reviewers. By submitting a paper to EMI, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the conference committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript.

Xinrong Deng (Hubei University of Economics)

Pin Wang (Guangzhou College of Commerce)

Juan Liu (Shandong University of Finance and Economics)

Conference Committees
Research on Sustainable Development Strategy of Chinese Small and Medium-sized Enterprises
Authors: Xian Jing , Li Qing
Published: July 2022

Small and medium-sized enterprises are an important part of China's national economy. They play an irreplaceable role in the national economy and social development by constructing the main body of China's market economy, promoting economic development, promoting social employment and promoting social stability. At present, small and medium-sized scientific and technological enterprises, as the group with the greatest development potential and innovation vitality, play an important role in the process of building an innovative country in China. However, the short average life span is a common problem in China's small and medium-sized scientific and technological enterprises. After the financial crisis, due to the worldwide economic recession and the changes of China's macro-control policies, small and medium-sized enterprises are facing the problem of financing difficulties. At the same time, China's small and medium-sized enterprises generally have a big gap compared with domestic large enterprises and multinational companies in terms of technology, internal and external system construction and perfection. The sustainable development of small and medium-sized enterprises lies not only in the improvement of technical ability, but also in the establishment of internal and external systems.
Analysis of the Influence, Reason and Recovery of U.S. Inflation on Different Industries
Authors: Zhang Tianyu , Peng Hu , Chen TszChing , Wang Shiwei
Published: July 2022

Over the past 10 years, the US inflation rate has been perfectly controlled at around 2%, which is the ideal target range of the Federal Reserve. This situation has been maintained until March 2021. But it began to climb upward in April and reached a peak in February 2022. To explore the causes of American inflation and its impact on the real economy, this paper selects the food, real estate, energy, and automobile industries as the research targets. According to the data from March 2020 to the present, we find that although the price change trend of various assets is rising, the change range is inconsistent, which is related to the price elasticity of the product itself. In addition, combined with the current policies and relevant industry information, the paper analyzes the recovery schemes of various industries. Moreover, considering the Fed's interest rate hike, asset prices are expected to gradually fall in the future.
Research on the Influence of Enterprise Financialization on the Accuracy of Analysts’ Forecast
Authors: Xue Yi
Published: July 2022

This paper built a fixed effect model to study the influence of financialization of enterprises on the accuracy of analysts' forecasts and the mediating effect of fixed asset intensity based on the data of Chinese A-share listed companies from 2016 to 2020. The results showed that the rise in degree of financialization improved the accuracy of analysts' forecasts by reducing the intensity of fixed assets. Taking a further consideration into the influence of the property rights of enterprises, it found that in the state-owned enterprises with rich financial resources, the degree of financialization had little influence on the accuracy of analysts' forecasts. However, in non-state-owned enterprises with large financing constraints, the degree of financialization had a more significant effect on the accuracy of analysts' forecasts. In general, this paper expanded the research situation of enterprises’ financialization on the accuracy of analysts’ forecast and provided a certain empirical support basis for the transformation of enterprises to financial investment, which had a certain reference significance for promoting the long-term development of China's economy.
Innovation Effect of "Green Signaling": Exploration on Whether Enterprises' ESG Disclosure Facilitates Innovation Based on Empirical Analysis of A-share listed companies on SSE and SZSE
Authors: Chen Jialin
Published: July 2022

This paper intended to study the impact of enterprises' ESG information disclosure on their innovation and further examines the heterogeneous role of power centralization as well as ownership through heterogeneity analysis. All the data adopted for analysis were from the A-shares listed companies traded on the two Chinese stock exchanges, the Shanghai Stock Exchange (SSE) and the Shenzhen Stock Exchange (SZSE) from 2008 to 2018. Through empirical analysis, the paper found that with other condition unchanged, enterprises' ESG disclosure significantly contributes to corporate innovation. In other words, an increase in ESG disclosure will promote more proactive innovation behavior. In terms of the heterogeneity analysis, the paper concluded that other things being equal, companies with highly centralized power or less confidence can see that ESG disclosure more significantly promotes innovative behavior. Besides, for non-state-owned enterprises, ESG disclosure will also significantly promote innovative behavior. In the end, the paper corroborated the consistency of the three findings through lagged variable regressions and instrumental variable (IV) regressions, and affirmed the robustness of the conclusions in the previous section. Finally, based on these findings, the paper proposed corresponding policy recommendations and insights.
Empirical Analysis of Henan Industrial Structure Evolution Based on Energy Big Data
Authors: Yin Shuo , Chen Xing , Chai Zhe , Guo Xingwu , Jin Man , Lu Yao , Feng Jiabin
Published: July 2022

In order to analyze the interaction between the optimization of industrial structure and energy consumption in Henan Province and its internal laws, we collect data on economic development and energy consumption from 1995 to 2019, and use the VAR model for empirical analysis. The research results show that the relationship between industrial structure optimization and energy consumption is not a simple one-way causal relationship. Optimization has a negative impact, which can then promote the optimization of the industrial structure for a certain period of time. However, in the long run, there is no significant causal relationship between energy efficiency and industrial structure optimization.
Research on the Information Disclosure Mechanism of the Retail Market Based on the Liberalization of the Electricity Sale Market
Authors: Guo Xingwu , Wang Shiqian , Chen Xing , Lu Yao , Chai Zhe , Jin Man , Yin Shuo
Published: July 2022

Liberalizing the electricity sales market is an important direction for electricity reform and a major strategic move to implement the reform of the supply and demand structure. In the process of liberalizing the electricity retail market, various mechanisms are not yet sound, and many problems have arisen due to opaque information. Establishing an open and effective information disclosure mechanism has become a necessary condition for ensuring the orderly development of the retail market. The article proposes a framework for information disclosure in the retail electricity market. The research results can be used as the basis for the credit rating of electricity retail companies, and will help the stable and healthy operation of the electricity retail market.
Investment Planning Model Based on Quantitative Trading Strategies
Authors: Dong Xinyu , He Yining , Lei Muyi
Published: July 2022

Investment, as a financial activity for the general public, has a wide influence on the development of national enterprises. In the research, the main object is Bitcoin and gold, and the investment prediction of short-term investment is made according to the real financial market, and the investment decision prediction model is established by using XGBoost, BP neural network model, entropy value method, coefficient of variation method, linear programming, and value-at-risk model to solve. The topic provides historical data related to bitcoin and gold. First, for the amount of gold and bitcoin increase, with the price deviation rate for data processing. For the amount and increase problem, which is difficult to judge the accuracy, both XGBoost and BP neural network models are used to predict and compare the results, and finally XGBoost, which has higher accuracy, is chosen as the result. After that, the market sentiment is judged according to the obtained data results, and the entropy value method is applied to calculate the weight of relevant indicators to establish the bull and bear market prediction model. Next, the value-at-risk model is applied to establish a risk prediction model. Finally, the predictions for price, market, and risk are combined, and the coefficient of variation method is used to determine the weights of each component to obtain the objective function and design the law of investment behavior as the result of the final prediction model. The initial amount is brought into the model for calculation, and the final return is found to be about $240,000. To assess the sensitivity of the model, three scenarios are discussed and analyzed in terms of changes in transaction costs, gold-only purchases, and bitcoin-only purchases. The three extreme cases are solved by dynamic programming in turn, and it is found that the decision model is very sensitive to changes in transaction costs. And for the case of only enough to buy gold, versus only buying bitcoin, the conclusion finds that the sensitivity is still high, and it can be judged that bitcoin has a high investment potential as an emerging investment product.
Financial Market Stability, Corporate Strategic Radicalization and Analyst Coverage: Analysis Based on the Perspective of Stock Price Crash Risk - Empirical Evidence from Shanghai and Shenzhen A-Share Listed Companies
Authors: Jia Yongqi
Published: July 2022

Information is the compass of the financial market, and analysts, as a bridge between companies and investors, play a role in transmitting information. Therefore, it is crucial to study the influencing factors of analyst coverage. This paper examines whether corporate strategic radicalization affects analyst coverage using a sample of A-share listed companies traded on SSE and SZSE with panel data from 2008-2018, and examines whether the risk of corporate stock price crash exacerbates the impact of corporate strategic radicalization on analyst coverage. It is found that (1) corporate strategic radicalization has a significant positive effect on analyst coverage; and (2) stock price crash risk has a positive effect in promoting the relationship between corporate strategic radicalization and analysts. In this paper, the samples are grouped according to the type of corporate ownership as well as corporate executives' concurrent positions, respectively, for further analysis and discussion, and the findings are unaffected. The conclusions still stand after considering the endogeneity issue using the lagged term approach. This paper not only supplements the research literature on analyst coverage, but also provides a policy reference for government departments to formulate corporate regulatory policies.
Research of Quantative Trading Strategy Based on LSTM
Authors: Su Junhao , Dong Kaiwen , Ge Ruiyang
Published: July 2022

Making strategies to maximize returns has always been the biggest problem almost every investor faces in the process of investment. In this paper, we will establish a model to analyze the internal characteristics of gold and bitcoin price data for further price prediction, which is of great help in formulation of trading strategy for the future. In Section 2 we hope to analyze the price trend of gold and bitcoin. At the beginning we establish a model based on ARIMA and get a relatively good prediction result. However, considering the errors may occur when the backward prediction unit gets long in this model, we try to use LSTM algorithm to better extract the nonlinear characteristics of the two time series of price. Through LSTM algorithm we get a much better result, and thus we choose LSTM as our final prediction model after comprehensive comparison. In Section 3, we use the predicted results to make trading strategies. We first divide investors into reckless and prudent types and establish models under different assumptions respectively. Then by applying greedy algorithm and establishing risk quantification model we approach the global optimal solution respectively. In the end, after testing the model and confirming its excellent performance, we summarize the advantages and shortcomings about this model comprehensively. Moreover, much more conclusions are drawn to analyze the possible model update in future.Price Prediction
Analysis of the impact of resource constraint on export trade of Chinese metal products industry
Authors: Lou Yan , Yu Jing
Published: July 2022

In the era of "green economy", how to maintain rapid economic growth under the constraints of resources is one of the hot issues concerned by the government and experts. With the acceleration of economic globalization, the trend of international transfer of industries is becoming more and more obvious. China is a country with relatively rich resources and low labor costs. In recent years, China has gradually become a resource-intensive undertaking country characterized by high pollution and high energy consumption industries. The transfer of international industries has not only greatly promoted the development of China's economy, but also further increased the demand for resources in China. To realize the sustainable growth of economic development, we must adjust the relationship between trade and resources. Metal products industry belongs to China's manufacturing industry, and it is also a typical industry with high energy consumption and high pollution, which is bound to face severe resource constraints in future construction. Therefore, this paper takes resource constraint as the basic condition, discusses the influence of China's metal products industry under the new situation, analyzes the influence mechanism of resource constraint, and puts forward relevant policy suggestions.
Research on the Impact of Economic Policy Uncertainty on China's ICT Service Export
Authors: Hu Xixi , Yu Jing
Published: July 2022

In recent years, economic policy uncertainty has been a hot topic in the world, and the development level of service trade is one of the symbols to measure a country's economic strength. Nowadays, the world economy is transforming to the globalization of digital economy, in which information and communication technology (ICT) plays an important role in the process of digital development. Taking service trade as the starting point, using the economic policy uncertainty index and taking the data of China's ICT service exports from 2001 to 2019 as a sample, this paper studies the impact of economic policy uncertainty on China's ICT service exports. The study found that China's economic policy uncertainty is conducive to the export of ICT services, while the global economic policy uncertainty has a restraining effect on it. Based on this, this paper puts forward policy suggestions on China's ICT service trade from the perspective of strengthening multilateral cooperation and increasing policy support of exporting countries.
Accessibility of Subjacency Principle and Empty Category Principle to SLA
Authors: Li Yaxin , Liu Yixuan , Sun Ruimin
Published: July 2022

A foreign language is essential for promoting world exchanges. Chomsky's theory of universal grammar is one of the representative theories to reveal how language learners acquire their mother tongue. However, in recent years, more and more researchers have focused on the accessibility of UG to SLA. This study investigates the accessibility of UG to 50 native Chinese university students by investigating their acquisition of the two general grammar principles of WH word shift limit: Adjacency Principle and Empty Category Principle. Another 5 native English speakers are set up in the control group. Questionnaires and quantitative analysis are used in this study. The author tested the students’ general performance both in the grammatical judgment and in the reading comprehension and their attitudes towards the questions, which violate either the Subjacency Principle or the Empty Category Principle. The author finds that by comparing the accuracy of the two groups, these native students are similarly sensitive to the two universal principles with English people; that is to say, the Universal Grammar is accessible to these Chinese university students’ English acquisition.