bluuebunny/crossref_metadata_2025 huggingface dataset:
A modified generalized estimating equation approach for simultaneous spatial durbin panel model: Case study of economic growth in ASEAN countries
Authors: Astuti Alfira Mulya , Setiawan Setiawan , Zain Ismaini , Purnomo Jerry Dwi Trijoyo
Published: March 2023

This article briefly explains the simultaneous spatial durbin panel (SSDP) model. The study of the SSDP model is substantial because it can explain the interaction between geographic units, is more informative, diverse, efficient, exhaustive, and accurate in reaching conclusions that influence the policy determination. This article’s intention is to derive a parameter estimation method from the SSDP model using a modified generalized estimating equation approach, which is then used to model economic growth in ASEAN nations. This article compares the SSDP model with rook contiguity, 2-nearest neighbors, and a customized spatial weighted matrix in relation to an independent, first-order autoregressive, exchangeable working correlation structure. To model economic growth in ASEAN countries, a customized weighted matrix with first-order autoregressive and exchangeable working correlations is chosen based on the CIC value. The parameter analysis outcomes indicate: 1) it is a significant spatial dependence among ASEAN countries; 2) it is a significant simultaneous interaction among the gross domestic product (GDP) and foreign direct investment (FDI); 3) GDP has a greater influence on FDI than FDI does on GDP; 4) The economic growth is directly affected by the labor force total; and 5) trade openness has a direct effect on FDI.
An integrated inventory and distribution planning problem for the blood products: An application for the Turkish Red Crescent
Authors: Kurt Atıl , Azizoğlu Meral , Çetinkaya Ferda Can
Published: March 2023

This study considers an integrated inventory planning and distribution problem based on an applied case at the Turkish Red Crescent’s Central Anatolian Regional Blood Center. We define two echelons, the first echelon being the regional blood center and the second echelon being the districts. The blood products are perishable so that the outdated products are disposed of at the end of their lives. We aim to minimize the cost of inventory keeping at both echelons, the shortage, and disposal amounts at the second echelon. We consider two distribution strategies: all deliveries are realized by the regional blood center (current implementation), and the deliveries are directly from the regional blood center or the other districts. We develop a mixed-integer linear programming model for each strategy. Our experimental results show that the decentralized strategy brings significant cost reductions over the centralized strategy. The mathematical model for the centralized distribution strategy can handle large-sized instances. On the other hand, the model for the decentralized distribution strategy is more complex and could not handle large-sized instances in our pre-specified termination limit of two hours. For large-sized instances of the decentralized distribution strategy, we design a decomposition-based heuristic algorithm that benefits from the optimal solutions of the original model and finds near-optimal solutions very quickly.
Somewhat precontinuous mappings via grill
Authors: Swaminathan A. , Sankari M
Published: March 2023

This article introduces the concepts of somewhat G-precontinuous mapping and somewhat G-preopen mappings. Using these notions, some examples and few interesting properties of those mappings are discussed by means of grill topological spaces.
General decay for second-order abstract viscoelastic equation in Hilbert spaces with time delay
Authors: Chellaoua Houria , Boukhatem Yamna
Published: March 2023

The paper is concerned with a second-order abstract viscoelastic equation with time delay and a relaxation function satisfying $ h^{\prime}(t)\leq -\zeta(t) G(h(t))$. Under a suitable conditions, we establish an explicit and general decay rate results of the energy by introducing a suitable Lyaponov functional and some proprieties of the convex functions. Finally, some applications are given. This work generalizes the previous results without time delay term to those with delay.
Fixed point results for almost nonexpansive mappings in $b$-metric spaces
Authors: Goswami Nilakshi , Haokip Nehjamang
Published: March 2023

The aim of this paper is to introduce a new class of mappings called almost nonexpansive mappings in a $b$-metric space. Some characteristics of this class of mappings are discussed.

Fixed point and common fixed point results for such mappings are obtained. An application to the Cauchy problem in a Banach space is also shown in this paper.
A use of pair (F; h) upper class on some fixed point results in probabilistic Menger space
Authors: Jafari Shahnaz , Ansari Arslan Hojat , De La Sen Manuel
Published: March 2023

In this paper, we define the concept of (F; h)-alpha-beta-contractive mappings in probabilistic Menger space and prove some fixed point theorems for such  mappings. Some examples are given to support the obtained results.
The Potency of Chitosan-Based Moringa oleifera Leaves Extract Nanoparticles as Anti-Cancer Agent
Authors: Indah Budhy Theresia , Naori Pramesvara , Ridhatillah Dalila , Dwiamanda Laurencia , Evriany Mileniatri
Published: March 2023

Cancer cases have increased with 18,1 million new cases and 9,6 million deaths in 2018. The main problem of chemotherapy is the lack of selectivity and drug resistance. Moringa oleifera leaves as anti-cancer offer minimal side effects. A nano-sized substance facilitates direct penetration into the target cell. This study attempts to prove the potential of chitosan-based Moringa oleifera leaves extract nanoparticles as an anti-cancer in cancer cells (in vitro). Chitosan-based Moringa oleifera leaves extract nanoparticles (Nano-MOLE) were made using ionic gelation method, nanoparticles were measured using Mastersizer, Nano-MOLE phytochemical content seen from Thin Layer Chromatography (TLC) test, froth test, and anhydrous acid test, IC50 values were obtained from MTT assay, and caspase-3 expression with immunofluorescence. Chitosan-based Moringa oleifera leaves extract nanoparticles with a size range of 0.01 micron-0.5 micron (10-500 nm) and contain phytochemicals such as alkaloids and terpenoids, and saponins. Nano-MOLE were found to have a cytotoxic effect on the cell line with an IC50 value of 287, 13 µg/mL and there was caspase-3 expression. Nano-MOLE is able to increase the expression of caspase-3 in HeLa cells line.
Acute Toxicity, and Neurobehavioural Responses of Afidopyropen on Exposure to Freshwater Edible Fish, Cyprinus carpio (Linnaeus)
Authors: Dodamani Mahantesh , David Muniswamy
Published: March 2023

Nowadays water pollution has become a real concerning problem worldwide in the aquatic ecosystem, due to the increasing use of a variety of pesticides in agriculture for the growing food demand in the world. Thereby in this investigation, we examined the LC50 value of afidopyropen, an insecticide, in addition to selected behavioural and ACh, AChE activity of Cyprinus carpio fingerlings. Fingerlings were exposed to different concentrations of afidopyropen ranging from 0.4mg to 1.6 mg/L by the semi-static bioassay method. And it had been found to be 1.0 mg/L. The fish exposed to this insecticide showed remarkable behavioural abnormalities in a dose-dependent manner. ACh accumulation and AChE inhibition in carp (Cyprinus carpio) exposed to a different concentration for the period of 96 hrs caused a significant increase in the elevation of acetylcholine (ACh), and was related to a marked decrease in the activity of acetylcholinesterase (AChE). In comparison with the corresponding controls, AChE activity was significantly decreased, whereas the ACh accumulation was markedly elevated due to the interaction of AChE activity which remarks in excess accumulation of acetylcholine at the neuromuscular junctions and synapses leading to make them more excitable for the behavioural changes due to impaired neurophysiology of the fish brain. The toxicity of afidopyropen during exposure to fish suggests that this compound poses a greater risk to fish.
Cavitating flow in a venturi; insights from a multimodal approach
Authors: Poelma Christian
Published: March 2023

In an ongoing effort to study the fundamentals of partial cavitation, we use a benchmark flow (a cavitating venturi) and apply various imaging and flow measurement techniques. In this seminar, I will summarize some recent results using high-speed imaging, x-ray densitometry, tomographic PIV and magnetic resonance velocimetry. Each of these modalities provides an important piece of the puzzle; together they can be used to unravel the dynamics of the cavitating flow. With the complementary information, we can investigate the re-entrant jet flow, the strength of condensation shocks, and understand how these mechanisms compete in this highly dynamic multiphase flow.
Evaluation of morphological and physicochemical characteristics of tomato (Lycopersicum esculentum) produced on soilless substrates in Daloa (Haut Sassandra Region, Côte d’Ivoire)
Authors: Diomande Masse  , Kouame Kan Benjamin
Published: March 2023

The present study was carried out to set up soilless culture substrates and to evaluate the impact of these substrates on the morphological and physicochemical characteristics of tomato (Lycopersicum esculentum). Four types of agricultural by-products (cocoa, sawdust, cashew and rice husk) from which seven substrates were constructed. The sawdust and rice husk were carbonised beforehand. A tomato crop was grown on these different substrates for three months. The tomato fruits of each substrate were analysed morphologically and physicochemically. The main results of the physico-chemical properties show that the shape coefficient and density gave good results with a round shape and a density lower than 1. The physico-chemical parameters showed that water content, dry matter and ash content showed no difference between the substrates. Tomatoes from RJC621 plants had high pH and brix (4.6 and 3.77) compared to the control (4.47 and 2). Fruits from plants receiving RJC710 composition had a high reducing sugar content (8.03%). As for titratable acidity, the RJC711 substrate showed the highest value (7.5g/l).
Fibromatosis colli: due casi clinici
Authors: Colombo Marco , Pacenza Marianna , Argentieri Anita
Published: March 2023

Fibromatosis colli is a rare cause that should not be forgotten, especially for the morbidity that can arise in the case of diagnostic delay (torticollis and facial asymmetries). An adequate medical history and a good physical examination can lead to clinical suspicion that can be confirmed by ultrasound.
Nel crocevia della crisi pandemica, il contrasto alla disoccupazione e alla povertà in tre sistemi nazionali di sicurezza sociale
Authors: De Angelis Marina , Marocco Manuel , De Minicis Massimo
Published: March 2023

The working paper aims to analyze whether social protection systems for workers in certain countries, with economic indicators like the Italian context, have been extended after the pandemic phase. The purpose is to identify how and if some countries have used the extension of the welfare system during the emergency phase to focus on historical critical issues. Some epistemological explanations are necessary. The study contemplates the phenomenon of income absence unitarily, considering measures aimed at "liberating from the need" induced both by unemployment and poverty. The obscuring of boundaries between these traditional parts of the welfare systems is particularly induced by the phenomenon of in-work poverty. Indeed, in current labor markets, employment, unemployment, and poverty are not easily discernible events.
Apatite as a Probe into the Nature and Origin of Hydrothermal Fluids Responsible for U Leaching in the Lujing Granite-Related U Deposits, South China
Authors: Yu Zhiqiang , Liu Lei , Ling Hongfei , Chen Peirong , Xu Guofeng , Chen Weifeng , Hu Tianyang , Huang Di
Published: March 2023

Hydrothermal fluids have been suggested to be capable of leaching U and other elements (e.g., rare earth elements; REEs) from U-fertile granites to form granite-related U deposits. However, the nature and origin of the hydrothermal fluid responsible for transporting these elements are poorly constrained. Apatite accommodates both U and REEs, and its composition can be modified by hydrothermal fluids with certain compositions. This study investigated in situ chemical and Sr-Nd isotope compositions of primary apatite in altered wall granites from the Lujing U deposits in the Zhuguang batholiths. Large-scale alterations of apatite occurred during the hematitization stage. Uranium was extensively leached out of the apatite, and its total REE concentrations were decreased from as high as 12,667 ppm to a few hundred ppm during the alteration, whereas REE-bearing mineral inclusions were absent in altered apatites. The release of U and REEs was associated with decrease of Na, Mn, and Fe and increase of Ca, Cl, and Eu anomalies in altered regions of apatite. According to apatite compositional variations, the fluid that induced hematitization was oxidizing, rich in Ca and Cl, but poor in Na. The elevated Cl in the fluid is crucial for mobilizing both U and REEs, whereas PO43− can also be a major ligand for U6+ transport given the massive dissolution of apatite during the leaching process. Altered regions of apatite contain high radiogenic strontium, implying assimilation of the fluid by clastic sediments in the adjacent red-bed basins sourced from the Precambrian crystalline basement rocks. The oxidizing, Ca- and Cl-rich, but Na- and F-poor fluid that induces hematitization shows significant potential in leaching U and REEs from the wall granite and providing ore-forming materials for U mineralization.
Comprehensive Review on Lipid-based Biomasses as Biodiesel Raw Materials from Ghana
Authors:   Department of Environmental Science, School of Biological Sciences, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana, Takase Mohammed , Kipkoech Rogers ,   National Environment Management Authority (NEMA), Nairobi, Kenya, Irungu Francis Kamau ,   Department of Spatial and Environmental Planning, School of Architecture and the Built Environment, Kenyatta University, Kenya, Kibet Joy ,   Department of Spatial and Environmental Planning, School of Architecture and the Built Environment, Kenyatta University, Kenya, Mugah Faith ,   Department of Spatial and Environmental Planning, School of Architecture and the Built Environment, Kenyatta University, Kenya
Published: March 2023

Ghana is a country rich in natural resources, including biodiversity and large water bodies, but it is also plagued by food and energy shortages. Fuel prices are also increasing. Biodiesel made from lipids will attract increasing attention as researchers and experts look for a solution. However, the obvious cheapest option of edible feedstock will be insufficient to meet rising energy and food demand, necessitating the need for a guaranteed feedstock. As a result, this research was conducted to identify lipid-based biomass feedstocks that would be ideal for biodiesel production in Ghana. This research seeks to give current information on the biofuel feedstock currently existing (mostly biodiesel) synthesis from lipid-based biomasses in Ghana. Edible plant oils were the first generation of lipid-based feedstocks, whereas alternative types of feedstocks were identified and reported as the second generation. Non-edible oils, like Jatropha oil, Neem oil, Karanja oil, Nagchampa oil, Calophyllum inophyllum oil, Mahua indica oil, Rubber seed oil, and other non-edible feedstocks are used to make second-generation biodiesels. Vegetable oil waste, industrial wastes and by-products, animal fats, and lipid-derived from microorganisms and insects are also among the 2nd generation feedstocks discussed in this paper. The advantages of 2nd generation feedstocks are the low-cost, high-yielding, and the fact that they do not economically or ethically compete with edible oils (food crops). Nevertheless, all 2nd generation feedstocks are often free fatty acids and having high moisture, which have a significant detrimental impact on the conventional biodiesel synthesis process. As a result, this article contains basic information on processing procedures that can handle 2nd generation feedstocks.
Spontaneous bacterial peritonitis by Listeria monocytogenes. A rare case and literature review
Authors: Mastroianni Antonio , Greco Sonia , Vangeli Valeria , Mauro Maria V. , Greco Francesca , Manfredi Roberto
Published: March 2023

Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascites and a common complication in patients with cirrhosis, associated with a high morbidity and mortality rate. Gram-negative Enterobacteriaceae bacteria are usually the major pathogens involved in SBP, with Klebsiella pneumoniae accounting for 50% of these. Individuals with chronic liver and /or kidney disease associated with long-standing ascites are predisposed to SBP. Nosocomial SBP presents most commonly a poorer outcome. Although Listeria monocytogenes peritonitis is a relatively rare focal manifestation of Listeria infection, its incidence is increasing. It is associated with a mortality rate approaching 30% in cases of systemic involvement, despite first-line therapy. To our knowledge, this is the first case of L.monocytogenes-associated SBP described in Italy. Clinicians should be aware of the uncommon agents of SBP, such as Listeria, because, if diagnosed early, early antibiotic administration is crucial in minimizing adverse outcomes.
Preface: 2022 International Conference on Wind Power, Energy Materials and Devices (WPEMD 2022)
Authors: Bessemer Augustine , Tang Jiajie
Published: March 2023

In order to accelerate the development of wind power, smart grids and green energy, promote in-depth integration of the energy materials and energy devices, and foster new growth areas, we hosted the 2022 International Conference on Wind Power, Energy Materials and Devices (WPEMD 2022) in Mumbai, India during November 26-27, 2022.

WPEMD 2022 aimed to provide a platform for experts and scholars, engineers and researchers to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote cooperation in the industrialization of academic achievements. It also helps to promote communication between researchers and practitioners working in a variety of scientific fields, with a focus on improving wind power and green energy related technologies.

About 80 participants from academic, high-education institutes and other organizations took part in the conference. The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 8-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches.

The proceedings present a selection of high-quality papers submitted to the conference by researchers from universities, research institutes, and industry. All papers were subjected to peer-review by conference committee members and international reviewers. The papers were selected based on their quality and their relevance to the conference.

I would like to express special gratitude to members of the conference committee and organizers of the conference. I would also like to thank the reviewers for their valuable time and advice which helped in improving the quality of the papers selected for presentation at the conference and for publication in the proceedings.

With our best regards,

Conference Organizing Chair

Mumbai, India
Design of semi-submersible offshore power generation platform based on green energy utilization
Authors: Chen Qingyang , Liang Chen , Wang Zhihao , Zhang Baoxu
Published: March 2023

In recent years, wind energy is receiving increasing attention as a non-polluting, renewable, efficient and clean marine green energy source, and countries around the world are already stepping up their development and utilization of wind energy. This paper discusses the design parameters and data analysis of a feasible semi-submersible offshore wind power platform based on the integrated use of green energy for economic purposes under given hydrographic conditions. The design parameters of the power platform include the combination of a circular floating platform, columns, 4.2 MW turbine, floats, and trusses and their respective dimensions, while the data analysis emphasizes the initial stability analysis by verifying the distance between the steady center floats, the wave load calculation by calculating the magnitude of the Morrison force on the floats in waves, the wind load calculation by using static theory to deal with the structural forces at constant wind speed and the cost calculation by adding up the costs of various items. The results of the data analysis show that the designed platform has good initial stability, can withstand wave and wind loads under the design conditions, and that the cost of the materials used in the structure is reasonable. The draft design presented in this paper is expected to provide an alternative design for upgrading existing offshore power generation platforms, achieving a combined use of solar and wind energy, and reducing the cost of building semi-submersible offshore power generation platforms.
The Technology and Development of New Energy Vehicles
Authors: Wei Yuchen , Huang Manchen
Published: March 2023

Due to CO2 pollution, due to the energy saving and high efficiency of new energy vehicles, new energy vehicles have begun to develop at a high speed, and there is a hidden trend to replace traditional fuel vehicles. This paper will introduce hybrid vehicle (HEV), plug-in hybrid electric vehicle (PHEV) and electric vehicle (EV: including battery electric vehicle (BEV) and fuel cell electric vehicle (FCEV)) by type classification vehicle the characteristics and corresponding principles of these new energy vehicles. The motor and energy systems of different models are analyzed, the advantages and disadvantages of speed, energy efficiency, and distance of travel of the four types of new energy vehicles are compared, and the methods of improving the shortcomings of each model are explained.
Development and Perspective of Waste Heat Recovery Technology
Authors: Huang Qixing
Published: March 2023

Rapid industrial development and evaluation has triggered enormous energy and environmental issues, of which the fast depletion of energy has been one of society’s main concerns. The scarcity of energy is one of the most important environmental issues that international bodies urge to tackle. Scientists coming from different academic groups collaborate to find out high-efficient, low-emission manufacturing devices to deal with the scarcity. People have been already familiar with some methods that people used to take nonrenewable resources, coil, oil, and so forth, in place of solar energy. In this paper, another novel perspective that increases the quantity of usable energy after the industrial process finishing will be introduced, the waste heat energy. As a promising but little-exploited technology, I will briefly cite the present stage of investigation and evaluation. Hopefully, this paper can spark any interest or idea the researchers have to engage in improving the waste of heat energy.
Current Status and Future Prospects of Jet Engines
Authors: Fan Chengye , Jiang Ruoshui , Zhang Songzhi
Published: March 2023

Current status and future prospects of Jet engine are described in this paper. Specifically, this paper contains three aspects: the current application of jet engines, the advantages and disadvantages of four major types of jet engines, and its future development trends. The method of the paper is analyze main four types of Jet Engines principle separately, and makes comparisons. Specifically, those four main types of Jet Engines are turbojet, turbofans, turboprops and ramjets. Moreover, if people want to understand Jet Engines, understand how Brayton cycle run is necessary. Brayton cycle is the principle of Jet Engines. Additionally, work and Efficiency of the turbojet engine are important means to make comparison among those four main types. Nowadays, Jet Engines are mainly applied in aircraft, marine power plants, but they still have drawbacks. Since there are many difference among their noise, emissions, maintenance cost and reliability of those four main types, their applications have some tiny difference.
Composition Analysis and Identification of Ancient Glass Products
Authors: Qin Yusen , Yu Jinchi , Fu Guanhua , Zheng Ming , Wang Pengwen
Published: March 2023

Glass products are an important material evidence of the early trade exchanges between China and the West. Under the influence of buried environment, the weathering of glass leads to the change of its chemical composition proportion, which then affects the judgment of cultural relic category. This paper analyzes and identifies the components of ancient glass products by combining sample data. In order to analyze the influencing factors of weathering of cultural relics samples, the paper analyzes the high potassium and lead barium glass types and observes the relationship between the pattern and color of the sample, and the whole chi square independence test is used to obtain the difference rules of glass category, decoration and color classification. For the chemical composition content prediction, the prediction model was built and predicted by the sample mean difference. In this paper, the chemical composition of the unknown category of glass relics was analyzed and identified by training on the valid data in Form 2. For the sensitivity of the classification results, the sensitivity formula was applied to calculate a sensitivity of 0.125.
Comparative Study of Supercapacitor, Battery and Supercapattery
Authors: Zhang Zhehan
Published: March 2023

Nowadays, the consumption of fossil fuels is increasing, which means there may be some serious environmental problems caused by greenhouse emissions. Solar and wind electricity, for instance, are examples of renewable energy sources that are important for the growth of human society. However, due to their unpredictability, these energy sources are susceptible to the effects of the environment, including the weather. In order to continue using renewable energy sources, energy storage technology development will be crucial. These devices would be able to store energy under favorable external conditions and release it when the environment was not ideal for converting the renewable energy to electrical energy. There have been two main types of energy storage devices, which are respectively supercapacitor and battery. Supercapacitor has an outstanding energy density with a long-life cycle while there are still some challenges with the power density. Battery has an impressive power density while there are still some problems with the energy density. Therefore, a new type of energy storage device is highly required. So, more attention has been devoted to supercapattery, which could have both high power and energy density. This essay will introduce the working principle of supercapacitor, battery with more details. Next, there will be a comparison between supercapacitor and battery. Finally, supercapattery will be proposed, and there will be a simple introduction of Lithium-ion hybrid capacitor based on silicon carbon material.
Laparoscopic Hepatectomy for Hepatocellular Carcinoma
Authors: Qiu Qiyu
Published: March 2023

With the evolving of times, treatment strategies for laparoscopic hepatectomy are constantly evolving. However the result and indication of laparoscopic liver resection(LLR) is still controversial. This review assess the efficacy and outcomes of LLR through preoperative and postoperative factors. Most of article manifest that LLR is associated with the better improvement of operation. Nonetheless many difficulties are complicated and need to be captured.
Advances in Tea and its Bioactive Components Against Diabetic Nephropathy
Authors: Yin Junru
Published: March 2023

Diabetic nephropathy has become a serious and growing public health problem. Experimental studies have shown that tea is protective against diabetic nephropathy. Possible mechanisms include enhanced insulin action, improved insulin resistance, activation of insulin signaling pathways, protection of islet β-cells, free radical scavenging, and reduction of inflammation. In addition, clinical trials have confirmed that tea intervention is effective in patients with diabetic nephropathy. Thus, to highlight the importance of tea in the prevention and treatment of diabetic nephropathy, this review summarizes and discusses the effect of tea on diabetic nephropathy based on the results of experimental and clinical studies and pays special attention to its mechanism of action.
Nutrient Metabolism of Vertebrate Animals
Authors: Zhang Chaozhi
Published: March 2023

It is generally believed that all animals in the world mainly are composed of C, H, O and N elements, which are used in the process of nutrient metabolism, including protein, carbohydrate and lipid metabolism. Although most metabolic procedures are common among different vertebrates, some processes like nitrogen metabolism are different. Here, we briefly review the metabolic procedures of three nutrients and discuss some diversified metabolic pathways. At last, we discussed the linkage between these substances, hoping to gain a better understanding.
Interventions for Changing Brain Function in Clinical Disorders
Authors: Yuan Meng , Zhu Qingjun
Published: March 2023

Historically, restoring brain function after injury or disease has been extremely difficult.  However, over the past few decades, new techniques have emerged for reversing or postponing the deficits in behavior that accompany such injury. This paper reviews several current interventions for improving brain function in clinical settings: deep-brain stimulation, transcranial magnetic stimulation, physical exercise, and cognitive training. These interventions have been used in a wide range of clinical disorders, including Parkinson’s Disease, Alzheimer’s Disease, Huntington’s Disease, depression, stroke, and various psychiatric conditions. Findings suggest that these clinical interventions are associated with relatively modest improvements in outcome and should not be considered first-line treatments for most disorders. However, ongoing research continues to refine these techniques to establish more reliable neural pathways for improving clinical outcomes; to more precisely understand the neural mechanisms underlying various disorders; and to improve the delivery of the interventions.
The Effect of H50Q Mutation on the Interaction between α-Synuclein and Lipid
Authors: Zhong Ming
Published: March 2023

The abnormal aggregation of α-synuclein (αSyn) is considered as connection with the development of synucleinopathies such as Parkinson’s disease, and lipid could be one of crucial inducers. Familial Parkinson’s disease (FPD) mutation of αSyn can change its properties and may impact its interactions with lipid. In this study, using multiple fluorescence techniques, we found that H50Q mutation can increase αSyn binding to synaptic-like vesicle, which could be helpful to uncover the H50Q mutation-related pathology of αSyn.
Research on the Design of Medical Escort Furniture from the Perspective of Epidemic Normalization: A Case Study of Multi-Purpose Escort Bed Design
Authors: Qiu Jie , Qiu Siyue , Ye Qian
Published: March 2023

This paper discusses the situation of the medical escort furniture under the new coronavirus epidemic normalize, the design means to improve the situation of the medical escort furniture, put forward from the actual situation of the users, then from the physiological needs, psychological needs and so on, with safety, humanity, space-saving design concept, the medical escort furniture suitable for most hospital environment design comfort, so that the various functions in the ward coordinate with each other, designed patient-oriented, auxiliary medical escort furniture.
Main Problems Faced by Biomass Coupling Power Generation Metering
Authors: Chen Hongmei , Gao Zhongming , Wang Qirui , Ding Yifeng
Published: March 2023

Carry out in-depth research on the electricity metering project of the biomass gasification coupled power generation project of Hubei Huadian Xiangyang Power Generation Co., Ltd., and upgrade the existing metering capacity based on the requirements of the power industry standard "Calculation of biomass energy from coal-fired coupled biomass power generation Part 1: Gasification coupling of agricultural and forestry waste residues" to form a complete, accurate and advanced electricity metering capacity. In view of the shortcomings of the hardware and software of the current electricity metering, we will improve and upgrade them one by one. In this plan, the existing biomass energy and electricity metering system is planned to be modified by replacing the sampling system, pre-treatment system, adding missing parameters of the analyzer, adding power measuring points, replacing gas, steam and condensate flow meters, and arranging explosion-proof cabins.
The Impact of Gestational Diabetes Mellitus on the Composition of Breast Milk: A Systematic Review
Authors: Wu Yi
Published: March 2023

Gestational diabetes mellitus (GDM) is a pregnancy complication that affects the health of both the infant and maternal. Breast milk is the optimal food for the infant, including nutrients that support the infant's physical metabolism and biologically active components that help the infant's functional development. This article is a systematic review of published literature on the effects of GDM on the component of mother’s milk. This review analyzed a total of 28 articles reporting a total of 83 breast milk constituents associated with GDM, 37 of which were biologically active. In conclusion, GDM may change human milk composition but the paucity of studies and the considerable heterogeneity of their designs and methods make it difficult to draw reliable and relevant conclusions.
Choroid Theory Guides the Theory of Cardiovascular Event Chain
Authors: Zhao Lijuan , Li Yi , Luo Shihua , Zhang Chao , Duan Xiaohua , He Xinhui , He Yanqing , Gao Yan , Guan Yong , Tian Hui
Published: March 2023

The theory, cardiovascular disease is one of the most common clinical chronic diseases. Modern medicine has confirmed that cardiovascular diseases are caused by the long-term accumulation and deposition of various pathological products caused by a variety of causes, and most of them are non-specific. Cardiovascular events such as acute myocardial infarction and stroke mainly occur in the occurrence process of cardiovascular diseases and cerebrovascular accidents, so the pathogenesis of cardiovascular and cerebrovascular diseases is very complex and difficult to predict. Therefore, this paper carries out the corresponding discussion on it.
Activities of Inactive Ingredients in Drugs
Authors: Wu You
Published: March 2023

In this essay, I will talk about two papers that were published. In order to demonstrate the activities of inactive ingredients, these two papers reported the impact of inactive ingredients on biological targets through some experiments. Because as the development of pharmaceutical chemistry, more and more people pay more attention on medication safety. As a result, in this paper, I will use the Thimerosal, Glycyrrhizin and Butylparaben as the main experiment examples to help explain the discovery of the effect of inactive ingredients on biological targets. Because there was not systematic research, this article will discuss this topic about materials and methods in order to have a better understanding.
The Application of Machine Learning InSpeech Emotion Recognition
Authors: Xu Dongkun
Published: March 2023

In many applications, such as voice assistants, call centers, psychological counseling, business negotiation, and even hostage rescue, it is becoming more and more important to know the mental state of the other side of the conversation. This article introduces a Speech emotion recognition project based on python and Librosa. This project uses machine learning to train computers to judge the emotional state of a speaker from human speech. Based on this project, the accuracy and efficiency of different models as well as potential application directions are discussed. This project uses an artificial neural network (ANN) model to train the data through a multi-layer classifier (MLP). The ANN model used in this project and the influence of different parameters in the model are discussed, and higher accuracy is obtained on the basis of existing models and data. The article will focus on the analysis of the model structure and the effects of different parameters in the model and their corresponding optimal intervals.
Comparison of different Convolutional Neural Network models on Fruit 360 Dataset
Authors: Liu Kevin
Published: March 2023

Numerous Convolutional Neural Networks emerged in the past decade, each varies in accuracy, speed, and architecture. From AlexNet to ResNet, CNN models have been developing rapidly, and the architecture of the models become more complicated. These models are known for their accuracy on ImageNet, so the topic of this research is to explore how CNN models can perform differently on the Fruit 360 dataset. A model constructed specifically in this research and three significant models developed in the past decade are applied to the Fruit 360 dataset for result comparison: VGG-16, ResNet-50, MobileNet, and SC-3. The models are selected to be different in architecture for comparison. The models are modified in similar ways and are trained on the same device under the same circumstances. The research found that ResNet-50 obtains the best prediction accuracy. MobileNet takes the least time to train and predict. The ResNet-50 and MobileNet models can be considered for real-world application, whereas VGG-16 and SC-3 are either inefficient or fails to generalize to complicated situations.
Breast Cancer Prediction Based on the CNN Models
Authors: Chen Nuo , Han Boyu , Li Zhixin , Wang Haotian
Published: March 2023

In modern society, the natural lifespan of an individual increased dramatically benefitting from advanced yet accurate methods of medical treatment. Though many diseases could be treated with a cure, the treatment of cancer has yet to be overcome. Related medical research has proven that the combination of accurate breast cancer diagnoses and treatments at an early stage could prevent the spread of cancer cells as it could increase a person's potential lifespan by a large margin. This research has conducted a comprehensive study on improving the efficiency of autonomous image recognition of breast cancer diagnosis using deep learning models. We use the most advanced CNN baseline models for image recognition, including VGG, ResNet, Efficient, etc. We also select two typical breast cancer datasets and tested the models on them to make our result more convincing. The final enhanced model of ResNet 101 can achieve a recognition rate of 89.98% for the benign and malignant samples.
Instrument Classification Using Different Machine Learning and Deep Learning Methods
Authors: Su Yuqing
Published: March 2023

Instruments are categorized into the 5 groups in the Sachs-Hornbostel system: idiophones, membranophones, aerophones, chordophones, and electrophones. It might be easy to tell the Sachs-Hornbostel group that an instrument belongs to. However, distinguishing single instrument sound can be hard in monophonic or polyphonic music pieces and it is an important subject for musicians. Using computer science models can help musicians to analyze songs easily and fasten the speed of finding the instrument that are wanted by music producers or composers. This work aims to compare different models on particular instruments (monophonic sound) recognition which is an important problem in the field of music information retrieval. Jupyter Notebook is included for easy reproducibility. Among the six models chosen in this research: k-nearest neighbors(kNN), Support Vector Machines(SVM), Gaussian Mixture Modeling(GMM), Artificial Neural Networks(ANN), Convolutional Neural Networks(CNN) and Recurrent Neural Networks(RNN), CNN is the most accurate model and SVM is the fastest model while CNN has the prospect of being improved because it can be adjusted manually.
Music Genre Classification Based on Machine Learning Methods
Authors: Ma Xundong
Published: March 2023

A large portion of the population globally are actively downloading and streaming music from online platforms in recent years. In many parts of the world, music has become a lifestyle instead of a luxury. As a result of music’s growing popularity, the number of sounds and music released each day and also increased tremendously as the demand growth of music. Music genre is defined as a label that is descriptive of the music category which is used to categorize music based on several characteristics including: harmonic contents, pitch, instrumentation, and rhythmic structure. A classification model used to complete this task of classifying music genres is a machine learning system designed to classify using audio signals from song tracks into different musical genres. This paper aims to investigate the different approaches, including k-nearest neighbours algorithm, random forest, artificial neural network, and convolutional neural network, to classify music genres. Model performance analysis and confusion matrix analysis are applied to compare the advantages of the different algorithms applied on music genre classification problem.
The Application of Human Detection Based on YOLOv5
Authors: Hou Chengcheng
Published: March 2023

Human detection has several possible applications. A well-known example is autonomous driving technology, which incorporates gender recognition and fall detection for the elderly. This study will focus on the principles of these applications, which consist primarily of locating the positions of persons inside an image. It is a crucial piece of technology that protects individuals from danger. To fix this problem, this paper employed the deep learning algorithm, mainly supervised learning, which demands a significant quantity of labeled data. Fortunately, these data sets may be collected via security and in-vehicle cameras. YOLOv5 is a famous object detection algorithm, it can train the detector to operate faster and more precisely, enabling the system to identify any potential dangers instantly, which is considered in this study. The experimental results demonstrated that the employed YOLOv5 method can detect the location of human effectively, which proved the feasibility of the method used in the study.
Human Detection Based on YOLOv5 Network
Authors: Zhong Wenbo
Published: March 2023

With the vigorous development of the economy, the improvement of people's quality of life, the continuous increase in the ownership rate of family cars, and the increasing pressure on traffic management, people urgently hope to use new technologies to improve and optimize the past system. Therefore, the research on the modernization and intelligence of traffic control has become a research hotspot for scholars. When the crowd density is too high, all kinds of accidents are easy to happen, and it will bring difficulties to the management of order managers. Timely detection of crowd density, and when the crowd density is too high, warning information will be issued, which is conducive to the managers to evacuate the crowd in time. So, the final project is about how to recognize humans in the image, and with men and women. Today's human detection can be broadly divided into traditional image processing methods and machine learning-based methods. The traditional image processing method detects the human by preprocessing the image and then detecting the human contour. Frequent stampede events in large events at home and abroad have caused a lot of casualties. Therefore, the research on crowd counting has attracted more and more attention. If the crowd density of the current scene can be accurately estimated and the corresponding security measures can be arranged, the occurrence of such incidents can be effectively reduced or avoided. Crowd counting is widely used in video surveillance, traffic monitoring, public safety, urban planning, and the construction of intelligent shopping malls.
Study of UAVs in attempted formation flight based on pure azimuth passive positioning
Authors: Liu Yizhou
Published: March 2023

As a great crystallization of human technology in the past hundred years, many western countries have applied high technology to the research and development of UAVs since the 1990s. In this paper, the pure azimuth passive positioning problem in attempted formation flight of UAVs is explored through the intersection of different straight lines to determine the position of the target aircraft, and the location information of the predicted and accurate points is used to optimize the target analysis. And the conclusion is drawn in minimizing the emission signal scenario of electromagnetic waves. Then, according to the knowledge of graph theory, the UAV array is fitted to a graph, a coordinate system is established with the position of one of the UAVs, and a database with standard positions is created for comparison.
Design of Deep Foundation Pit Support Scheme Based on Fuzzy Grey Correlation Projection Method
Authors: Zhang Nan , Wei Longyun , Han Yongliang
Published: March 2023

In order to make full use of the limited land resources, it is an inevitable trend of architectural development to develop underground. With the rapid development of urban construction and the rise of subway, underground spaces are constantly being developed, such as underground parking lots, underground shopping malls, underground warehouses, underground substations and a variety of underground civil and industrial facilities, resulting in a large number of deep foundation pit projects. The construction of deep foundation pit has the characteristics of high risk coefficient, high technical requirements and many influencing factors. If the design of supporting structure is unreasonable or the construction process is not strictly controlled, it will cause hidden dangers of quality and safety, which is not conducive to the smooth implementation of the project. In order to avoid possible uncertainties, it is necessary to adopt a more efficient and safe construction design scheme to provide effective guarantee for smooth construction. This paper expounds the problems encountered in the design and construction of deep foundation pit support, and puts forward the design strategy of deep foundation pit support scheme based on fuzzy grey correlation projection method.
Research on UAV formation based on UAV positioning technology and iterative algorithm
Authors: Yan Runze , Wang Haiyu , Wei Wenbo
Published: March 2023

Nowadays, UAVs play a very important role in various fields of life, so the flight problem and formation problem of UAVs in real life is one of the important directions to study UAVs, and the positioning function has quite an important role in the formation problem, so this paper studies the formation problem of UAVs based on positioning. A mathematical model is established to study UAV formation based on UAV positioning technology and iterative algorithm.