bluuebunny/crossref_metadata_2025 huggingface dataset:
What is the effect of vitamin D deficiency on Pap smear test results in the postmenopausal period?
Authors: AYAR MADENLİ Asena , ÖZ İnci , DEMİRÇİVİ Ergül
Published: March 2023

This study aimed to determine the impact of vitamin D deficiency on Pap smear test results in women in the postmenopausal period. This cross-sectional study included 394 women who applied to İstanbul Medeniyet University, Göztepe Training and Research Hospital gynecology and obstetric clinic for routine Pap smear tests. This study was conducted between May 2019 and December 2020. Cases were divided into severe deficiency (<12 ng/ml), moderate deficiency (12-20 ng/ml), deficiency (21-30 ng/ml), and sufficiency (>30 ng/ml) according to the vitamin D levels measured in the postmenopausal period within the scope of check-up examinations. Pap smear test results compared with vitamin D levels. The mean age of the study group was 48.70±3.46 years. There was a statistically significant association between vitamin D values and Pap smear test results (p<0.05). Vitamin D greater than 20 ng/ml had a significant relationship with the normal cytology results. There was a statistically significant association between vitamin D lower than 20 ng/ml and cervicitis cytology results. The results showed that the serum vitamin D and the Pap smear test results had a significant association. It is recommended that physicians prescribe the use of vitamin D supplements in women in the high-risk group of cervical cancer.
Investigation of awareness of human papilloma virus infection among female health workers at Ondokuz Mayıs University
Authors: KATIRCI Yunus , YALÇIN İbrahim , BAKAY Abdülkadir , GÜVEN Davut , KOÇAK İdris
Published: March 2023

Less developed areas have the highest incidence rates of cervical cancer, which vary by geographic region. If the right lifestyle changes are made, all cervical cancer risk factors can be avoided. Furthermore, vaccines have been created to guard against a number of the high-risk strains of the human papillomavirus (HPV). Not all women are aware of cervical cancer or how to prevent it, even though it is preventable. Therefore, every woman must assess level of knowledge regarding HPV prevention and cervical cancer. We applied a validated questionnaire between January and June 2021 to the female health workers at Ondokuz Mayıs University Hospital to assess their knowledge of cervical cancer and HPV protection as well as their attitudes toward it. Our findings indicate that women's knowledge on this topic is lacking, especially regarding the most recent advancements in HPV testing and vaccination-based cervical cancer prevention. Only 99% of the women who responded to the survey were actually aware that HPV testing was available. Although the incidence of cervical cancer is low, this figure is subject to change, particularly in light of the economic crisis and rising immigration rates, which could lead to higher rates of HPV infection in the population if no action is taken. Although the HPV vaccine has been available for some time, the Turkish government does not recommend it as a routine vaccine as part of the National Immunization Program. Even among the highly educated workforce in the healthcare industry, there is a lack of understanding about HPV vaccine. Healthcare professionals should be fully informed about the HPV vaccine for their own benefit so that they can discuss it with their patients. This study aimed to remove vaccination barriers and assess healthcare professionals' current knowledge of cervical cancer and HPV vaccination in a tertiary hospital.
The effects of the COVID-19 pandemic on pediatric patients with otitis media with effusion
Authors: TURGUT Nesrettin Fatih
Published: March 2023

Otitis media with effusion (OME) is a frequently self-limiting middle ear fluid accumulation. During the COVID-19 pandemic, there was a decrease in patient referrals to pediatric Otorhinolaryngology (pENT) outpatient clinics. The aim of this study was to compare the patients who presented at our pENT outpatient clinic with OME during the pandemic with patients who presented during the equivalent period before the pandemic, and to investigate the effects of pandemic measures on OME. The study included patients aged 1-15 years who presented at the pENT Outpatient Clinic due to OME. Four groups were created based on the date of March 2020, when the first COVID-19 case was recorded in Turkey. The groups were formed as one for each year from March 2018 to March 2022. The total number of patients admitted to the pENT outpatient clinic was recorded. Group 1 (March 2018-March 2019) included 1338 patients diagnosed with OME, which constituted 12% of the total number of patients. Group 2 (March 2019- March 2020) included 1238 patients, Group 3 (March 2020-March 2021) 241 (8%), and Group 4 (March 2021-March 2022) 432 (9.4%). From this study, it was observed that the greater attention paid to the mask, social distance and hygiene rules during the COVID-19 pandemic, and the implementation of distance education decreased the frequency of upper respiratory tract infections, and had a positive effect on the number of OME cases.
Overview of hematopoietic stem cell transplantation
Authors: MERİÇ Neslihan
Published: March 2023

Hematopoietic stem cell transplantation (HSCT) is the intravenous administration of hematopoietic stem cells (HSC) to restore blood cell production in individuals whose bone marrow or immune system is damaged or dysfunctional. This approach has been utilized to treat a variety of malignant and nonmalignant disorders for the past half-century. HSCT is performed in two ways, autologous and allogeneic. In the clinic, the type of stem cell transplant is decided for the patient according to the patient's diagnosis. Both types of transplantation have advantages as well as disadvantages. Knowing and managing the HSCT process well affects the success of the transplant. Knowing the complications that may occur after transplantation will facilitate the treatment process of the patient. In this short review, the HSCT process has been tried to be explained with general titles.
From laboratory studies to clinical applications mesenchymal stem cells in cancer treatment: Translational oncology
Authors: YÜCE Melek
Published: March 2023

Stem cell-based studies have accelerated to treat various pathologies, particularly neurological, cardiovascular, orthopedic diseases and cancer with the understanding of their therapeutic potential after their discovery. Stem cells have recently aroused great interest as a promising treatment option in the fighting to cancer with extensive study in the fields of cancer biology. Nevertheless, much uncertainty regarding the act of stem cells in cancer development and treatment remains obscure before the clinical use of stem cell investigation. Despite many obstacles, the migration ability of stem cells, the bioactive factors they secrete, and their immune regulatory properties make them advantageous for gene therapy strategies. However, unknowns and a lack of scientific data remain concerning the use of stem cell based therapies. Therefore, more experimental data are needed to confirm the different study results presented by different scientific communities. In this review, we focused on summarizing the available experimental and clinical data on the potential uses of mesenchymal stem cells in cancer therapy.
Curative breast cancer surgery with local anesthesia
Authors: DALDA Yasin , DALDA Özlem , BAŞKIRAN Deniz Yavuz , GÖNÜLTAŞ Fatih
Published: March 2023

Breast cancer has become an important health problem affecting especially women and its incidence is increasing. It is treated with a multidisciplinary approach involving medical oncology, radiation oncology and surgical oncology. Surgical removal of the tumor is the most important step in its treatment. General anesthesia used during surgery carries significant risks in patient groups with advanced age and comorbidities. In addition, treatment options such as chemotherapy and radiotherapy other than surgery may have significant side effects in these patient groups. Therefore, surgery plays an important role in the treatment of patients. Surgery with local anesthesia is a suitable alternative to general anesthesia in patients with early stage breast cancer because it carries less risk. Breast cancer was diagnosed in a 64-year-old woman who presented with a mass in the right breast. In the anesthesia examination, she was evaluated as ASA 3 because of her comorbidities and age. We present our patient with high comorbidity and advanced age who underwent curative cancer surgery using only local anesthesia.
Lung cancer and choroidal metastase
Authors: ALA Fatma Selen , ÜNSAL Meftun , SERASLAN Alparslan
Published: March 2023

Sixty-nine-year-old male patient, having treatment after one month due to lung adenocancer, was admitted to our clinic with the complaint of blurred vision in the left eye. Fundoscopy examination revealed irregular macula in both eyes and metastasis in both eyes choroid in Optical Coherence Tomography (OCT). In our case, it was observed that although both eye choroids had metastasized, the complaints of the eyes were lost with radiotherapy.In this case, after the completion of chemotherapy for lung cancer, a patient who developed eye metastasis during follow-up, did not respond to treatment and whose symptoms were improved with radiotherapy, was presented.
The effect of chamomile on nausea and vomiting after laparoscopic cholecystectomy: A triple-blind randomized clinical trial
Authors: BAKHTIARI Soheila , KHALILI Gholamreza , ZADAK Razieh Salimi
Published: March 2023

The present study aimed to evaluate the effect of Chamomilla Recutita on nausea and vomiting after laparoscopic cholecystectomy. Chamomilla Recutita (L.) fell into either chamomile or placebo groups randomly. The intervention was performed one hour before the operation. The severity of nausea and the frequency of vomiting was measured using a visual analog scale. Both groups were studied in three stages before the operation, after the operation in recovery, and 2 hours after the operation. Data were analyzed using descriptive and analytical statistics (SPSS). The mean severity of nausea increased significantly over time in both groups; however, this increase was significantly slighter in the chamomile group than that in the placebo group. The frequency of preoperative nausea in the chamomile and placebo groups was 6.2% and 25%, respectively, before being discharged from the recovery. Two hours later, in the surgical ward, this frequency was estimated to be 31.2% in the chamomile group and 75% in the placebo group (P <0.05). The frequency of vomiting in the surgical ward was 15.6% and 56.2% in the chamomile and placebo groups, respectively. Thus, this frequency in the chamomile group was significantly lower than in the placebo group (P<0.001). It seems that in laparoscopic surgeries, the use of chamomile drops as a preventive drug reduces postoperative nausea and vomiting.
Investigation of the yield of biologically active substances during the ultrasound and electro-discharge extraction of medicinal herbs of the foothills of the North Caucasus
Authors: Neftullayeva Asiyat , Azimova Sabina , Maskurova Yulia , Tsimgigova Rafan , Papanova Aminat , Dachaeva Selima , Damaeva Liana , Povetkin Sergey
Published: March 2023

Biologically active components are present in plants in small quantities. There are many different extraction methods, which can be used for their extraction. In this scientific work, extracts of three plants (common origanum, peppermint and garden sage) were prepared in three different ways: water extraction, ultrasound extraction and electro-discharge extraction. The dynamics of saturation of extracts with flavonoids, essential oils and organic acids for each case were studied within 48 hours after the experiment's start. The conducted studies have confirmed the effectiveness of electro-discharge extraction in comparison with ultrasound and in comparison with water extraction. Forty-eight hours after the start of the experiment, 7-15% more organic acids, flavonoids and essential oils were observed in extracts of the studied plants obtained after electro-discharge treatment than in water extracts. A similar dynamic can be traced in the assessment of all indicators. At the same time, 80% readiness of extracts in the case of electro-discharge treatment was observed already 30 minutes after the start of the experiment. Similar indicators (80% of the maximum) were achieved after 24 hours of water extraction and after 2 hours with ultrasound treatment. Thus, the electro-discharge treatment allows you to obtain higher-quality and more enriched active substance extracts in a much shorter time. At the same time, electro-discharge treatment has a significant list of disadvantages described in detail in this article.
Sustainability of the Peruvian public debt and its effect on economic growth in the period 2000-2021
Authors: Quispe-Adauto Lia Sheyla , Vilcas-Mamani Sheyla , Vicente-Ramos Wagner
Published: March 2023

The objective of this research was to evaluate the effects of public debt sustainability on economic growth in the period 2000-2021 and establish a new optimal debt level that does not affect Peru's economic growth. The general method used to determine this effect was the hypothetical deductive method with a non-experimental and longitudinal trend design, because the data to be analyzed are variations that have occurred over time; the VAR (vector autoregressive) model was used as a specific method, because the evidence was insufficient to consider the simultaneity between the reactions of the variables to propose an SVAR model. Data were collected from economic portals such as the Ministry of Economy and Finance (MEF), as well as the Central Reserve Bank of Peru (BCRP). The estimated sample size was 88 observations representing all quarters from 2000 to 2021. As a result of the econometric regression, the impact of the level of public debt on economic growth is positive, since a one-unit increase in the percentage of public debt will increase the variation of GDP by almost 1.1%. Regarding the debt level forecast and according to the projection made, it was determined that the new debt level that does not affect the sustainability of public finances or the long-term economic growth of the Peruvian economy should be 38% of GDP.
The effect of road types on severe road accidents in Peru
Authors: Caisahuana Indigoyen Rosita de los Ángeles , Cuyutupac Osores Sheylla Leydi , Macedo Stefany Andrea Curichimba , Fernandez Ángel Narcizo Aquino
Published: March 2023

It is not a secret that road accidents cause significant suffering. Those accidents can last from wounded to dead people, negatively impacting a country. A bunch of recent investigations tried to tie road accidents with the quality of roads. Therefore, in a country with a significant infrastructure gap, it is necessary to analyze the relationship between the different kinds of roads and the severity of car accidents. The current research examined such a relationship by employing the Multi logit regression. It was found that the significance of different car accidents will vary among the road types. Moreover, with the help of probability analysis, it was discovered that speeding, emergency services availability, and road security seemed to have a crucial impact on road accidents.
Semantic Regulation of mental states of the individuals during the SARS-COV-2 Pandemic
Authors: I. Bonkalo Tatyana , V. Shmeleva Svetlana , F. Kovalchuk Dmitriy , V. Aralova Elena , V. Romanova Angela , N. Tsygankova Maria
Published: March 2023

The first ever case of Corona Virus Pneumonia was reported on 8th December 2019 in Hubei Province of Wuhan China. The virus was believed to be transferred from seafood market and subsequently the causative agent was identified as SARS-COV-2. In this study, we conducted a study aimed at identifying the nature and characteristics of the influence of the cognitive assessment of the situation associated with the SARS-COV-2 pandemic, its semantic perception on the mental states of people of working age.The main semantic education of a person during the SARS-COV-2 pandemic is situational semantic attitudes - the primary ways of responding to signs of situational uncertainty, which carry out actual management of mental states, exerting a stabilizing or conversely destabilizing effect on them. Situational semantic attitudes of the personality play an indirect role in the interaction of the situation and mental states. It is not the situation itself that becomes the source of the emergence and development of certain mental states, but those situational semantic attitudes that, as a result of conscious and unconscious thought processes, enhance or weaken the signs of uncertainty of the situation that has arisen and determines the selective control of the mental activity of the individual. When organizing psychological assistance to the population during periods of pandemics, it is necessary to take into account the results of the study, which may affect the development of targeted programs for the formation of an adequate perception of the situation that has arisen and the development of conscious mechanisms for self-regulation of mental states.
Ecology of Knowledge in the Context of the Implementation of Climate Change Adaptation Measures in Developing Countries
Authors: Dias Pereira Guilherme , Simões André Felipe
Published: March 2023

Climate change involves a series of transformations in the synoptic systems of the planet. Its effects are not equitable, so the onus falls on the most vulnerable. Countries considered to be developing tend to be more vulnerable and therefore need to implement adaptation measures. However, these measures are not always viable within the social, environmental, institutional, geophysical, and economic dimensions, especially in the latter. Developing countries often need funding from international multilateral networks to make adaptation measures viable. Yet, projects that receive financing usually reproduce colonial aspects by erasing local knowledge, as in the case of measures implemented in São Tomé and Príncipe, and Bhutan. The essence of the ecology of knowledge concept can be a way for local knowledge to be valued and to be part of adaptation measures projects in countries considered to be developing.
Quando l’anemia viene da un’infezione da parvovirus
Authors: Tolomelli Elena , Legnani Elena , Grasso Antonio
Published: March 2023

The author describes the case of a 2-year-old boy presenting with aplastic anaemia due to documented parvovirus infection of the bone marrow without a specific seroconversion.
On the Issue of the Nature and Dynamics of the Development of Russian-Turkish Relations in the Post-Soviet Period
Authors: Arshakyan G. M. , Safaryan A. V.
Published: March 2023

The article examines the development of Russian-Turkish relations over the past 30 years, the main aspects of geopolitical relations and, in particular, the conﬂicts in the South Caucasus and adjacent regions. The authors believe that the key ones are the two Karabakh wars, the Georgian-Abkhazian conﬂict and the fve-day Georgian-South Ossetian war, as well as the Ukrainian crisis, the Libyan and Syrian conﬂicts, in which Moscow and Ankara have different interests. The new confguration of forces in the South Caucasus will largely depend on the outcome of the resolution of these conﬂicts. The authors identify the main patterns in the development of bilateral Russian-Turkish relations, which are characterized by a combination of confrontation, competition and cooperation. The article was based on the results of a scientifc discussion held at the National Communications Development Research Institution (NIIRC), Moscow, Russia in 2022.
Influence of the incorporation of cashew meal (Anacardium occidental) in feed on the laying performance of hens (ISA Brown) in Côte d'Ivoire
Authors: Ouattara Abdoulaye  , Diomande Masse  , Fofana Daouda
Published: March 2023

In Côte d'Ivoire, the increase in the price of protein raw materials makes poultry production too costly. This study was carried out to develop new sources of vegetable protein (cashew cake) for feeding laying hens during the laying period. For this, 180 19-week-old ISA Brown hens were used. They were housed in 4 boxes, 45 each. These constituted batches were fed T0 (control), T1 (100% cashew meal as main vegetable protein source), T2 (50% cashew meal) and T3 (95 % cashew meal). Bromatological analysis of the feeds revealed an excellent nutrient content. Feed intake, average number of eggs laid, average cumulative egg weight, feed conversion ratio, and egg laying rate were significantly (p<5%) influenced by the formulation. Cashew meal-based feeds improved egg-laying parameters but not significantly. The food supply for chickens was 93.16 ± 11.35 g / d /chicken (T0), 68.38 ± 13.67 g / d / chicken (T1), 85.67 ± 11.23 g / d / chicken (T2) et 65.88 ± 10.38 g / d / chicken. The number of eggs laid was 29.13 ± 8.77 eggs / d (T0), 11.89 ± 7.03 eggs / d (T1), 24.80 ± 7.85 eggs / d (T2) and 13.51 ± 7.57 eggs / d (T3). The average cumulative egg weight was 1645.86 ± 538.63 g / d (T0), 688.36 ± 445.41 g / d (T1), 1356.83 ± 449.62 g / d (T2) and 776.63 ± 467.51 g / d (T3). The consumption index was 3.84 ± 5.53 (T0), 7.26 ± 11.31 (T1), 4.16 ± 6.19 (T2) and 5.13 ± 8.48 (T3). Laying rate was 64.73 ± 19.51% (T0), 26.42 ± 15.64 % (T1), 55.12 ± 12.46% (T2) and 30.03 ± 16.82% (T3). The incorporation of cashew meal in the feed of laying hens as the main source of protein should allow for a variety of protein raw materials to correct any difficulties encountered by some table egg producers in Côte d’Ivoire.
Review on the research status of marine natural gas engine
Authors: Ju Canze
Published: March 2023

with the ship emission becoming more and more strictand the shortage of oil resources, looking for clean alternative energy sources is imminent, natural gas with its high calorific value per unit, low exhaust pollution, reliable supply, economical advantages hasbecome the preferred alternative fuel, and as the second trial production of combustible ice was successful, the development prospect of natural gas can be expected. This paper mainly introduces the research status of natural gas engine at home and abroad, the advantages of natural gas, focuses on the analysis of the emission of natural gas engine,so as to provide reference for its subsequent development.
The Green Building Development and Assessment Method – Energy and Cost Analysis in China
Authors: Song Junze
Published: March 2023

With the aggravation of global warming in the world, China is a country that produces a large amount of carbon dioxide every year. The development of green buildings is a primal aspect that the Chinese government has worked for many decades to build a healthy environment. This study explores three major Chinese green building assessment methods and compares the Evaluation Standard for Green buildings (three-star standard) with other countries’ representative assessment methods, which indicates that the three-star standard puts more attention on qualitative indicators. So, many buildings which receive that certification does not really have much sustainable equipment or save much energy. Also, this paper researches the status of green buildings in China. There are not many developers investing in green buildings, due to the price of green building construction is much more expensive than conventional buildings. That is because those green buildings equip many sustainable technologies and equipment. To encourage the construction of green buildings, the government can enact regulations and incentives to encourage more companies and developers to build green buildings.
Study on Properties and Composition of Ancient Glass
Authors: Xu Yayue , Yue Weifeng , Shao Wentian , Du Junjia , Zhao Hengtian
Published: March 2023

To help archaeologists to better study the ancient glass, open the mystery of the early of the silk road, also better protect the cultural heritage at the same time, this thesis will glass types, such as grain and color and whether the relationship between the surface weathering consider as a binary classification problem, and the characteristics of three types of value through the target code into numerical characteristics, build a gradient increase tree model, to score the importance of features, it is found that type has the greatest impact on weathering, followed by ornamentation and color. For the composition reduction of weathering points, this thesis transformed the problem of weathering point reduction into a mathematical problem of adjusting the characteristic values of weathering attributes. Firstly, this thesis checked the changes of the composition, and established a prediction model for the composition reduction of the weathered sites based on the qualitative assumption that "the sum of the composition contents remains unchanged" and the characteristic equation of the weathering attributes. Finally, the reduction calculation of the weathered sites was carried out.
The Effects of Exposure to Behavioral Stressors on Aspects of Neural Function
Authors: Yang Di
Published: March 2023

It is comparatively easy for students to create engaging studies and get expertise in conducting neuroscience investigations without overusing animals. Two weeks of male isolation followed by a brief meeting with a different man who is not used to communal living results in isolation-induced hostility. Whether raised in whole or partial isolation, monkeys display a range of abnormal behaviors. Lack of socialization with other dogs and people increases the likelihood that a puppy will exhibit negative qualities like aggression and anxiety. This review will therefore shed more light on the effects of exposure to behavioral stressors on aspects of neural function.
Research Progress of Chinese and Western Medicine in the Pathogenesis and Treatment of Vertigo
Authors: Liang Kexin , Liu Yu , Dong Yang , Dou Linshuang , Wang Yue
Published: March 2023

In recent years, with the progress of society and the change of lifestyle, the incidence of vertigo is gradually increasing. However, the current understanding of the pathogenesis and treatment of vertigo is limited, which leads to poor clinical diagnosis and treatment effect. The author analyzed the pathogenesis and treatment methods of vertigo from the perspectives of Western medicine and traditional Chinese medicine respectively, and summarized the related factors of vertigo, the research progress of traditional Chinese and western medicine treatment methods of vertigo, and the latest application research status of new ideas and new ideas for vertigo treatment. Based on the incidence types of vertigo, the overall concept and dialectical thinking of traditional Chinese medicine are put forward to guide the clinical treatment. The objective is to explore the advantages and disadvantages of Western medicine and traditional Chinese medicine in the treatment of vertigo, and integrate their advantages and disadvantages, in order to provide the best treatment plan for more vertigo patients, so as to improve the quality of life of patients.
The Influence of Percutaneous Endoscopy-Assisted Transforaminal Lumbar Decompression and Fusion in the Treatment of Single-Level Lumbar Spinal Stenosis on Multifidus Muscle from the Perspective of Traditional Chinese Medicine
Authors: Zhan Li , Tang Zhenjiang , Li Shiqiao
Published: March 2023

Objective: To analyze the effect of percutaneous endoscopy assisted transforaminal lumbar spinal stenosis on multiissuis. Methods: Ten patients of single-segment lumbar spinal stenosis were selected from January 2020 to January 2021. All patients were treated with percutaneous endoscopic-assisted transforaminal lumbar decompression and fusion. Postoperative basic information was recorded, comparing efficacy related indicators before and after surgery, and lumbar polyfiis injury before and after surgery. Results: All patients completed the operation successfully, with no symptom aggravation or recurrence, and no serious complications. VAS score and VAS score of leg pain at 7d, March and June, and ODI level at 3 and June were significantly better than those before surgery, with P <0.05. In terms of patient serum CK level, postoperative 1d was significantly higher than preoperative, P <0.05, and no significant difference between postoperative 7d, P> 0.05. In Max-CSA, postoperative 7d was significantly greater than preoperative, P <0.05; no significant difference between postoperative March and June months compared with preoperative, P> 0.05. In terms of patient PI level, postoperative 7d was significantly greater than preoperative, with P <0.05, neither postoperative March nor June months were significant compared with preoperative difference, with P> 0.05. Conclusion: From the perspective of traditional Chinese medicine, the application of percutaneous endoscopy-assisted transforaminal lumbar decompression and fusion in the treatment of single segment lumbar spinal stenosis can achieve good early effect, and will not have a significant impact on the changes of polyfiis morphology and blood perfusion.
The Nursing Method and Effect of Sedation and Analgesia in Mechanically Ventilated Patients Were Analyzed
Authors: Huang Meixian , Li Yan
Published: March 2023

With the continuous improvement of medical level, people pay more and more attention to the nursing quality of mechanical ventilated patients, and the rescue success rate of intensive care unit patients is getting higher and higher, so the demand for anesthesia and analgesia care of mechanical ventilated patients is becoming higher and higher. Anesthesia and analgesia for mechanically ventilated patients mainly includes endotracheal intubation, endotracheal intubation, tracheotomy, catheter care, etc. Among them, mechanical ventilation is a common treatment method of patients in intensive care units. Due to the potential danger of endotracheal intubation, the aspiration will be life-threatening. Tracheal intubation surgery can cause serious consequences such as lung infection and even lung rupture, so the correct use of mechanical ventilation technology can not only reduce the patient mortality rate, but also reduce the complications caused by the improper use of the ventilator.
Benefits of a Plant-Based Diet in Patients with Metabolic Syndrome and The Use of Eggs in This Dietary Pattern: A Review
Authors: Lin Jiahe
Published: March 2023

Plant-based diet (PBD) is considered a dietary pattern with superior health advantages. A PBD can lead to better BMI index, better blood pressure and blood lipid status, and better blood sugar control in patients with metabolic syndrome. Eggs are frequently absent from PBDs, which lead to certain limitations of PBDs. Studies have shown that patients who have metabolic syndrome (MetS) who eat a PBD and consume eggs see an improvement in their plasma biomarkers and patients with MetS can benefit from eggs in two ways. This review covers the potential use of eggs in vegetarian diets and includes information on the health advantages of PBDs, with a focus on additional benefits of these two dietary patterns for people with metabolic syndrome.
Quantitative Investment Decision Model Based on PPO Algorithm
Authors: Xiao Xiaochen
Published: March 2023

Bitcoin is sometimes called the new gold, replacing gold as a hedge against inflation, and research on the relationship between bitcoin and gold has important practical implications. This paper first calculates the correlation between bitcoin and gold. By introducing the calculation of dynamic penalty coefficient, the double stock portfolio investment problem is transformed into the single stock purchase investment problem, which greatly reduces the difficulty of feature engineering and model application. In terms of decision model, deep reinforcement learning (PPO algorithm) is used to make quantitative investment decisions, and the expected data in SLTM is taken as the input data of deep reinforcement learning, which is combined with deep reinforcement learning. Compared with machine learning quantitative investment decisions, after a period of learning, the accuracy rate and returns have been substantially improved.
Long Short-term Memory Applied on Amazon's Stock Prediction
Authors: Zhou Chenze
Published: March 2023

More and more investors are paying attention to how to use data mining technology into stock investing decisions as a result of the introduction of big data and the quick expansion of financial markets. Machine learning can automatically apply complex mathematical calculations to big data repeatedly and faster. The machine model can analyze all the factors and indicators affecting stock price and achieve high efficiency. Based on the Amazon stock price published on Kaggle, this paper adopts the Long Short-term Memory (LSTM) method for model training. The Keras package in the Python program is used to normalize the data. The Sequence model in Keras establishes a two-layer LSTM network and a three-layer LSTM network to compare and analyze the fitting effect of the model on stock prices. By calculating RMSE and RMPE, the study found that the stock price prediction accuracy of two-layer LSTM is similar to that of three-layer LSTM. In terms of F-measure and Accuracy, the LSTM model of the three-layer network is significantly better than the LSTM model of the two-layer network layer. In general, the LSTM model can accurately predict stock price. Therefore, investors will know the upward or downward trend of stock prices in advance according to the prediction results of the model to make corresponding decisions.
Chinese License Plate Recognition System Based on Convolutional Neural Network
Authors: Chen Hongru , Lin Yumin , Zhao Tianhao
Published: March 2023

License Plate Recognition (LPR) technology has been developed for many years, but for the time being, LPR technology still has problems such as not being accurate enough in positioning and too long recognition time. Especially in China, the License Plate (LP) is made up of Chinese characters, alphabets, and numbers, in which the use of Chinese characters profoundly influences the accuracy of LPR. In this paper, a Convolutional Neural Network (CNN) is employed in LPR system, and the LPR system designed in this paper includes three parts: coarse LP positioning, precise LP positioning, and LP character recognition. The LPR system designed in this paper uses the functions in OpenCV to call the laptop camera and input the obtained images into the computer to achieve interframe recognition by setting the timer. Once the image is acquired, the approximate license plate position is determined by the cascade classifier. After this, the image is processed by adaptive binarization, followed by Connected Component Analysis (CCA), linear fitting, and left-right regression to precisely locate the LP. After the exact location of the LP has been determined, it will be fed into a CNN for character recognition. Simulation tests show that the LPR system implemented in this paper has some LPR capability.
Automatic Classification for Unlabeled Email Messages into Folders
Authors: Zhu Fucheng
Published: March 2023

Imagine returning from an excused absence because of Covid-19 or any force majeure alike, and having to immediately face 300+ unread emails; getting overwhelmed by emails has become part of office workers’ daily routine. Numerous pieces of research have shown effective methods to categorize email messages, detect potential harassment, and even automatically send a reply. But still, email is an interesting type of text to analyze and gives rise to many challenges. First discussing the challenge in the problem, this paper aims to research, study, and propose a method that can deal with a specific challenge: making folders out of income email messages and then classifying emails automatically. By cooperating basic methods, techniques, and algorithms, an intuitive program is developed that can perform the task with the given public email dataset. The method is then expected to raise prospects for future investigations and improvements in performance and robustness.
An Application for the Human-Computer Interaction Game Based on Yolov5
Authors: Chen Jianxi
Published: March 2023

The rapid development of computers makes human-computer interaction possible, and hence more people have been attracted to this subject in several different ways. After searching online about the ways to increase the accuracy. Based on the algorithm of yolov5, this article used the characters from a popular PC game called Counter-Strike: Global Offensive (CSGO). By using the 3 characteristics from the game (Human-T, Human-CT, and Head). This article shows the results of the detection of those 3 by using different numbers of epochs and images. In the two detections, 240 images and 150 epochs, and 500 images and 450 epochs are used. The results of the two detections have a large difference. In the second detection, the result is much better than the first one by having a small change in the dataset. Meanwhile, this article will also mention other ways made to increase the accuracy of the detection, such as the way to label images, etc.
News Short Text Classification Based on Bert Model and Fusion Model
Authors: Cui Hongyang , Wang Chentao , Yu Yibo
Published: March 2023

Text classification task is one of the most fundamental tasks in NLP, and the classification of short news text could be the basis for many other tasks. In this paper, we applied a fusion model combining Bert and TextRNN with some modified details to expect higher accuracy of text classification. We used the THUCNews as dataset which consists of two columns one for news text and the other for numbers. The original dataset was seperated into three parts: training set, validation set and test set. Besides, we used BERT model which contains two pre-training tasks and TextRNN model which refers to the use of RNN to solve text classification problems. We trained these two models in parallel, and then the optimal Bert and TextRNN models obtained through training and parameter tuning are added with a fully-connected layer to receive the final results by weighting the efficiency of Bert and TextRNN. The fusion model solves the problem of over-fitting and under-fitting of a single model, and helps to obtain a model with better generalization performance. The experimental results show the sharp change in loss and accuracy as well as the final accuracy of the BERT model. The precision, recall-rate and F1-score are also evaluated in this paper. The accuracy of fusion model of BERT and TextRNN is much better than single Bert model and has a gap to 1.76%.
CNN-based Model for Face Expression Recognition
Authors: Guo Kejun , Song Shizhe , Yang Qijia
Published: March 2023

Face recognition is a biometric technique that uses data on facial features to identify individuals. It is also a key area of study for computer vision researchers. CNN is a subclass of feedforward neural networks with convolutional processing and depth structure and one of the illustrative deep learning techniques. Since the deep learning theory was put forth and computational power increased, CNN has rapidly advanced and is now utilized in computer vision, natural language processing, and other fields. Our research is focused on face recognition, and because the mini-Xception model has a condensed volume and few parameters, it is used in this study. The dataset we used is fer2013, which is a classical dataset among CNN algorithms and is used in many studies. We also used data augmentation methods, and Keras’ ImageDataGenerator image generator was the optimal data augmentation method we came up with after reading the paper. Finally, we came up with a final model with 61% accuracy, which we are satisfied with and within the error results of the papers we reviewed.
Research on Behavior Recognition of Disyielding Pedestrians Based on LSTM
Authors: Zhang Rui , Qin Haosen , Wang Ling , Wu Ziyang
Published: March 2023

Serious traffic accidents caused by vehicles' disobedience to pedestrians occur frequently, so it is very important to supervise and regulate the behavior of disobedient pedestrians and explore the identification methods of disobedient behaviors. Compared with the existing research, this paper proposes a recognition algorithm based on Long Short Memory (LSTM) network for vehicles' indecisive pedestrian behavior. This algorithm is more practical and adaptable. First, it predicts the future continuous kinematics of the vehicle through the past transverse and longitudinal characteristics of the vehicle, and obtains the driver's manipulation intention. Then, the manipulation intention is combined with the past pedestrian trajectory and pedestrian head direction information, and the joint modeling is carried out to obtain the probability of the occurrence of vehicles' behavior that does not yield to pedestrians. Using real driving data to test, the test results show good recognition accuracy, and the goodness of fit of the model to the sample reaches 0.93.
Predicting Titanic Survivors by Using Machine Learning
Authors: Ai Yufan
Published: March 2023

About a century ago, one memorable night in April 1912, a world-shattering event happened. The Titanic, the 2,240-passenger luxury cruise ship, sank forever off the coast of Newfoundland in the North Atlantic after extensive damage to its hull by an iceberg on its maiden voyage. Only 705 people survived this disaster. Although nearly a century has passed, the research on Titanic has never stopped, and there are still many studies on it. This study was supposed to predict the survival of passengers on Titanic using different methods based on data from the Kaggle competition "Titanic: Machine Learning from Disaster." It predicted each passenger in the test set who would survive the sinking. The result was the percentage of correct prediction. In the Machine Learning study, the task is to achieve 80% accuracy in predicting the survival distribution of the Titanic disaster based on the demographic data testing notebook by different algorithms models. Using classification is the main point to calculate the efficiency achieved by those models through the test environment. The f-measurement scores obtained from the machine learning technology were in comparison with the f-measurement scores obtained by Kaggle.
Machine Learning Classification Techniques Applied in modern-day Music Recommendation Systems
Authors: Hsin Benjamin
Published: March 2023

Music streaming platforms have increased in demand over recent years.Due to the covid-19 pandemic and lockdowns, there has been a substantial increasein users in music streaming platforms, where the music streaming market grew by $7.47 billion. Hence, the importance of recommendation systems in these platforms. The goal of this research paper is to address and provide insights into the behind the scenes to recommendation systems. To have the most accurate results, this paper will be based on pre-existing GTZAN audio samples as datasets for different classifiers and compare the results of accuracy and consistency of the model’s outcome for each genre. Confusion matricesare the finest way to determine results from each classifier. To identify limitations, advantages, and whether or not each classifier provides the most ideal outcomes that satisfy user demands. This process will include processes such as the sample input, feature extraction, and finally, put through classifiers.
Glass weathering chemical composition prediction model
Authors: Liao Junchi
Published: March 2023

This paper analyzes the relationship between glass surface weathering and glass type, decoration, and color, and predicts the chemical composition content of weathered glass before weathering. In this paper, firstly, the glass type and surface weathering were subjected to a chi-square test, and then the relationship between glass color, decoration and surface weathering was statistically analyzed using the control variable method: controlling for constant glass type. It is concluded that when the glass is high potassium glass, it tends to be non-weathered glass, while lead-barium glass tends to be weathered glass. High potassium glass with A ornamentation corresponds to all weathered glass, while B or C ornamentation corresponds to all unweathered glass, and the colors are dark blue, light blue, and dark green, corresponding to all weathered glass. The color of lead barium glass is black, blue-green, decorated with A; the color is light blue, decorated with C, all weathered glass. When the color is dark blue, the conclusion of the pattern is A. Then the average content changes of each chemical composition before and after the weathering of the two types of glass were counted separately, and the chemical composition content of the two types of weathered glass before weathering was calculated according to equation (3), respectively, and the specific results are shown in Table. 4.
Research and prospect of CRISPR system in marine biological system
Authors: Tang Jiayi
Published: March 2023

Gene editing is a widely used and promising technology in biology field. Its ability to precisely edit the endogenous genes of organisms is a major boost to the research process in the biological sciences. Among these gene editing technologies, CRISPR is a more effective system and it is in a wider range of applications. The CRISPR system has advantages over Zinc finger nuclease (ZFNs) technology and transcription activator-like effector nuclease (TALENs) technology, including higher efficiency, gentler construction and a decreased risk of off-target effects. Currently, the treatment of diseases, the creation of animal models, and the genetic breeding of plants all make extensive use of CRISPR technology. Despite its wide request in model construction, its application in marine organisms is just beginning. This review systematically introduces the classification, development of gene editing technology, and summarizes the current status and development prospects of the application of CRISPR system in marine organisms.
A Mini Summary of Affinity-based Separation Methods for Sample Preparation
Authors: Chen Yuming
Published: March 2023

Over the years of development, affinity-based separation has become one of the main technologies of cell separation. These methods have met the requirements of high yield, purity, extensibility, and sterility. The techniques for separation of particles and cell purification which are applied in sample preparation in the field of basic scientific research and diagnostic or therapeutic purposes have become highly developed over years. In this paper, the common modern methods of affinity-based separation are discussed and compared, including their principles, fields of application, and limitations.
Sleep disorders in Parkinson's patients
Authors: Hu Yiming , Zhang Wenzhuo
Published: March 2023

Sleep disorder is one of the most common non-motor symptoms of Parkinson's disease and can occur at any stage of the disease. Clinical symptoms are decreased total sleep time, decreased sleep efficiency (difficulty falling asleep, easy awakening, etc.), rapid eye movement, excessive daytime sleepiness, often accompanied by cognitive impairment, thinking and emotional disorders, etc. It is a huge burden, so it is crucial to pay attention to sleep disorder in Parkinson's patients. This article introduces the pathogenic mechanism and treatment methods of insomnia, restless legs syndrome, sleep apnoea and excessive daytime sleepiness.