bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of the Effect of Acamprosate Treatment on Heart Contractions in Alcohol-Dependent Rats
Authors: KARAKUŞ Behiye Nur , ŞEN Aysu , ÖZDENGÜL Faik
Published: July 2022

Background/ Aim: Chronic alcohol use leads to impaired heart contraction and also causes a direct toxic effect on myocardial function. Acamprosate, which is widely used in alcohol dependence, is not known to have a pharmacological effect on cardiac contraction. Therefore, this study aimed to investigate the effects of acamprosate on the heart muscle.

Materials and Methods: A total of 32 female Wistar rats were divided four groups as control (10 mg/kg/g saline) group, alcohol (10 mg/kg/g alcohol + 10 mg/kg/g saline) group, acamprosate (200 mg/kg/g) group and alcohol+ acamprosate groups (10 mg/kg/g alcohol + 200 mg/kg/g acamprosate + 10 mg/kg/g saline). Alcoholic rats were scored for alcohol dependence and withdrawal. After that, the rats were sacrificed, respectively and the heart tissue was removed. The amplitude and contraction frequencies of the atrium tissue taken from the heart tissue were measured in the isolated tissue bath.

Results: Alcohol dependence and withdrawal symptoms were observed in the Alcohol group and Alcohol+Acamprosate group (p
Mob Rules: Toward a Causal Model of Social Structure
Authors: Borghini Andrea , Nathan Marco J.
Published: July 2022

This essay enriches causal models capturing the propagation of prejudice, bias, and other aggregative social mechanisms, negative or positive. These explananda include the reinforcement of economic inequality, “mob-like” behavior, peer pressure, and the establishment of social norms. The stage is set by introducing various forms of redundant causation and discussing some difficulties with mainstream preemption. Next the main proposal extends current representations of aggregative social mechanisms in two respects. First, it is more nuanced, as it identifies three distinct kinds of inferences: relevance of causes to effects, degree of redundancy of an effect, and the influence that causes exert on other causes. Second, it offers a quantitative—as opposed to merely qualitative—distinction between the causal contribution of preempting and preempted causes.
Debunking, Epistemic Achievement, and Undermining Defeat
Authors: Klenk Michael
Published: July 2022

Several anti-debunkers have argued that evolutionary explanations of our moral beliefs fail to meet a necessary condition on undermining defeat called modal security. They conclude that evolution, therefore, does not debunk our moral beliefs. This article shows that modal security is false if knowledge is virtuous achievement. New information can undermine a given belief without providing reason to doubt that that belief is sensitive or safe. This leads to a novel conception of undermining defeat, and it shows that successful debunking of moral realism is possible.
Closed-minded Belief and Indoctrination
Authors: Ranalli Chris
Published: July 2022

What is indoctrination? This paper clarifies and defends a structural epistemic account of indoctrination according to which indoctrination is the inculcation of closed-minded belief caused by “epistemically insulating content.” This is content which contains a proviso that serious critical consideration of the relevant alternatives to one's belief is reprehensible whether morally or epistemically. As such, it does not demand that indoctrination be a type of unethical instruction, ideological instruction, unveridical instruction, or instruction which bypasses the agent's rational evaluation. In this way, we can account for why indoctrination can occur for liberal democratic beliefs as much as it occurs for fascist, fundamentalist, or fanatical belief: for indoctrination is fundamentally a structural epistemic phenomenon.
The Opportunities for and Limitations on a Finnish Female Artist in Lapland before the Second World War
Authors: Hautala-Hirvioja Tuija
Published: July 2022

Since the 1840s in Finland, there have been equal possibilities for men and women to study art. This article examines the possibilities and limitations that women had to take into account to study fine arts. To understand the situation in Finland during the 1920s and 1930s, I use as a case the life and art of Maija Kellokumpu (1892–1935). She was an exceptional individual who lived in Lapland, the northernmost region of Finland. Her home village, Kelloselkä, is located about thirty-three miles north of the Arctic Circle and northeast near the present border between Finland and Russia. Maija Kellokumpu was the daughter of a religious, agricultural family from the small and traditional village. I study her life and her art from a microhistorical viewpoint; her biography is at the center, but it expands with contextualization: the salient frames of reference are northern culture and religion, the Finnish world of art, and the status of women. Finland was for one hundred years a part of the Russian Empire and became independent in December 1917. Soon, in the spring of 1918, the Finnish Civil War broke out and lasted four months. The young, independent country began to develop during the next few decades, but the development stopped in November 1939 when the Winter War started. As part of my study, I focus on the limitations and suspicions to which women's careers were subjected—some of which are based in the realms of religion, economics, and education, while some are art-world based in terms of the tension and distance between the art-center and peripheries, as well as the lack of money and patrons.
“The Path to Progress or the Sleep of Reason”: Representations of (Re)bordering Processes at the Finnish-Russian Borderlands
Authors: Kaskinen Saija
Published: July 2022

In 1958, the last train transporting war reparations left Parikkala, a southeast border town in Finland, for the Soviet Union. This marked the end of any normal cross-border traffic. Today, Parikkala is negotiating to change its border-crossing status from temporary to international. This article explores local and regional newspaper coverage of Parikkala's effort to get its new cross-border policy approved. Utilizing frame analysis, trauma studies, and border studies, the article aims to answer the following questions: Do any distinguishable frames emerge from the news texts? What is the message they convey? What kind of social, cultural, and historical trauma and its processes are involved in locally situated border narratives, and what is their place in border politics, information production, and distribution? Parikkala's situation raises complex questions about the role of the nation-state(s) in bordering practices and control as well as local border peoples’ chances to influence bordering processes.
Hardward Design and Implementation of Blind Guide for Intelligent Traffic Scene Identification and Ranging Based on HiSilicon Taurus
Authors: Huang Yongfeng , Liu Weizhi , Lu Shengwei , Li Yuzhong
Published: July 2022

In this paper, according to the characteristics of the low-power hardware design of the combination of HiSilicon Hi3861V100 chip and HiSilicon Hi3516DV300 chip, which cooperates with a series of peripherals, in order to design a Blind guide that can recognize and deal with complex traffic conditions and can broadcasts dangerous situations of the surrounding environment in time. At the same time, it combines 4G module to complete audio and video data transmission and one key for SOS function. After the service gets the data of device terminal for unified processing and management. On the other side, APP links the service to realize the function of information and data transfer, map positioning, real-time dibble seeding and full-duplex intercom.
Research Progress of Heavy Metal Contaminated Soil Remediation Methods in China
Authors: Qiao Wanting
Published: July 2022

In order to effectively remediate heavy metal pollution in soil, a variety of physical, chemical and biological remediation method of materials have been proposed in the past decades. In practical application, these restoration methods have their own advantages and disadvantages in terms of scope of application, efficiency and cost. Therefore, this newspaper summarizes several common soil remediation technologies in combination with the relevant literatures in the field of heavy metal contaminated soil collected by CNKI. It is found that most physical remediation technologies have the advantages of simple equipment, easy popularization and sustainability, but they are limited to small areas and highly polluted soils; Compared with logistics repair technology, chemical repair technology with low cost, high efficiency and wide application range is used by more people; In recent years, bioremediation technology, which has the advantages of small environmental disturbance, no secondary pollution, stable and harmless products, has solved the ecological damage caused by physical and chemical remediation. The research on the remediation of heavy metal contaminated soil will help to have a comprehensive understanding of this field, which is of great significance to attract more scholars to participate in it, and provide solutions for the current ecological civilization construction of the government and other departments from the aspect of remediation of heavy metal contaminated soil ecological environment.
Application of ATM Asynchronous Transfer Mode Intellectualization in Civil Aviation System
Authors: Liu Rui
Published: July 2022

The so-called ATM technology refers to asynchronous transmission technology, which is a highly efficient communication transmission technology. At present, it is widely used in many communication technology fields. Now this paper mainly analyzes its application in the field of civil aviation communication. At first, the paper analyzes and introduces ATM technology and civil aviation communication environment, points out the application advantages of ATM technology in civil aviation communication field, and finally makes a simple discussion on its application direction and mode. With the development of civil aviation communication business, the requirements for the traffic and reliability of data communication network are increasing. Civil aviation relies on ATM technology to build a basic network platform that can cover all airports of civil aviation and has carrier level reliability and availability. This paper introduces the working principle, system composition and workflow of ATM, improves the business level of maintenance and repair technicians, and ensures the safe operation of civil aviation air traffic control equipment.
A Design of an Equalized Gaussian Beam Antenna Applied in A Coal Mine Environment
Authors: Chen Tianyuan , Cheng Lingfei , Liu Ankang
Published: July 2022

The environment of confined spaces such as tunnels and coal mines is complex and changeable. When the wireless signal propagates in it, it will be affected by the reflection and diffraction of the shaft wall, which puts forward higher requirements for the radiation beam of the coal mine antenna. In this paper, the corrugated horn antenna model is selected to design a coal mine antenna whose radiation pattern is almost equal to the Gaussian beam. Starting from the expression of Gaussian beam, combined with the radiation field formula of the horn antenna, the effects of slot depth, slot spacing, slot width and horn opening angle on the radiation beam are analyzed. The axial slot corrugated conical horn antenna designed in this paper has a gain greater than 13dBi in the frequency band, the side lobe level is less than -25dB, and the VSWR is less than 1.25 in the designed full frequency band. By comparing the pattern of the horn antenna and the pattern of the Gaussian beam, the results show that the axially grooved corrugated conical horn designed in this paper basically coincides with the Gaussian beam under ideal conditions, and the E and H planes are the Gaussian with a -10dB taper angle of 35°. The beams are basically the same. The equalized Gaussian beam antenna designed in this paper has important guiding significance for the antenna design in coal mine detection and exploration.
On the Creative Transformation and Development of the Spirit of Huizhou Merchants in Rural Governance
Authors: Wang Ziqiang
Published: July 2022

In the policy of emphasizing agriculture and suppressing commerce in ancient Chinese feudal dynasties, Huizhou merchants developed and grew in the cracks, and gradually became one of the leading groups of local autonomy in Huizhou. The spirit of Huizhou merchants guides Huizhou merchants to actively choose to return to their hometowns to join the development of rural careers after becoming rich in business, and at the same time plays an important role in rural governance. The development and growth of Huizhou merchants not only contributed generously to rural governance materially, but also brought creative transformation to rural governance at the spiritual level, making great contributions to rural development. Although the once glorious Huizhou merchants have disappeared, the essence of Huizhou merchants' spirit still has a positive guiding role in the development of rural areas in today's era.
A malignant prognostic indicator of Uterine Corpus Endometrial Carcinoma: CDKN2A
Authors: Zang Huaixiao
Published: July 2022

Mounting evidence have proved that the expression level of CHKN2A has a certain influence on the immune infiltration of tumor and the prognosis of cancer patients. Nevertheless, the association between CDKN2A and Uterine Corpus Endometrial Carcinoma (UCEC) still remains unclear. Therefore, the aim of this study is to investigate the effects of CDKN2A on the prognosis of UCEC patients and its relationship with immune infiltration. ONCOMINE, GEPIA 2, Kaplan-Meier Plotter, TIMER2.0, Metascape, STRING and cBioPortal were used in this study to explore the influence of CDKN2A expression on UCEC. Compared to adjacent normal tissue, we demonstrated that high CDKN2A expression was associated with poor survival of UCEC patients (OS:HR=2.9, Logrank p=0.0055; DFS:HR=2.3, Log rank p=0.016). Meanwhile, significant correlation between CDKN2A expression and immune infiltration was observed in UCEC tumor tissue, such as CD8+ T cells (R=-0.431, P=2.72E-05) and Monocyte (R=0.295, P=5.20E-03) etc. In addition, the enrichment analysis results showed that CDKN2A and its co-expressed genes were involved in the pathways of RNA metabolism, positive regulation of cell cycle process and TP53 activity. The main gene alteration of CDKN2A in UCEC patients was amplification, and the mutation rate was only 3%. In conclusion, CDKN2A is expected to become a novel prognostic indicator and a potential drug target for UCEC.
Research on the model of children's health assessment based on behavioral characteristics
Authors: Liu Jie
Published: July 2022

Early childhood education is the cornerstone of children's education, and traditional preschool education methods have been unable to meet parents' expectations. The concept of smart kindergarten came into being. The traditional evaluation method can no longer adapt to the development of kindergarten. Therefore, it is very important to design a more scientific and reasonable infant health assessment model. Taking a kindergarten as the background, we have established a behavioral characteristic-based children's health assessment model to create a smart kindergarten. By optimizing traditional evaluation methods and combining innovative evaluation methods, a child health development evaluation model based on AHP-BPNN and a health evaluation model based on machine learning are proposed. Finally, the infant protection experts gave a comprehensive analysis of the weight gain. The assessment mode adopted by this kindergarten now reduces the pressure on the caregivers. This evaluation model has strong applicability and can be promoted in other kindergartens.
Dietary Fiber Intake and Chronic Diseases Outcome During Pregnancy
Authors: Guo Chenyan , Luo Xindi , Xiao Mengsong , Zhao Yike
Published: July 2022

Pregnancy can cause many complications and chronic diseases. Dietary intervention has been impressed on the prevention and treatment of diseases during pregnancy. Reasonable dietary intake and nutritional fortification can contribute to decrease the risk diseases during pregnancy. Common pregnant diseases are postpartum depression, obesity, and diabetes. This paper is to review the maternal nutrition and the effect of fiber diet in patients with gestational diseases. It is well known that pregnant women require additional nutrition due to a series of alterations in the body's regular metabolic processes following fertilization. In addition to that, nutrition is regarded to be related to weight gain and gestational diabetes, which in turn affects the mental health of pregnant women negatively, hence improving nutritional intake may reduce these complications and their related short- and long-term morbidity. It has synthesized that pregnancy physiological changes may reveal the risk of chronic diseases, including insulin resistance and dyslipidemia as manifestations of diabetes and obesity. Although the direct influence of dietary soluble fiber on intestinal microbiota has been extensively researched, the impact of a high-fiber diet on pregnancy illnesses has yet to be properly investigated. Qualitative analysis shows that dietary fiber benefits to alleviate the impacts where pregnant diseases bring. High fiber dietary can control the calories intake and improve insulin resistant. Furthermore, dietary fiber is thought to be one of the dietary components that might help avoid the development of unfavorable mental health. Therefore, emphasize that the intake of dietary fiber is significantly vital to help improve maternal and child health.
The influence and therapeutic effect of dietary pattern on liver diseases in the United State
Authors: Liu Jiayin , Wang Chenxin , Xiao Yushu
Published: July 2022

Liver disease includes many types of diseases like cirrhosis and non-alcoholic fatty liver, and liver disease is one of the main causes of death in the United State. In addition to genetic factors, diet can influence the gut microbiota which makes fermentation of non-digestible food possible and then influence the development of specific types of liver diseases like alcoholic liver disease, nonalcoholic liver disease, dysbiosis, liver cirrhosis, and hepatocellular carcinoma. Furthermore, the dietary pattern can also directly determine the development of liver diseases, while the consumption of a high amount of fatty, alcohol, and sugar do harm to liver diseases. Although the dietary habit may cause exacerbation of liver diseases, it can also prevent people suffer from liver diseases or even with a therapeutic effect. This paper summarized the specific effect of diet on gut microbiota which can influence liver diseases and the influence of typical diet on liver diseases, and the paper also concluded diet therapy for liver diseases.
Mobile Health Applications to Tackle Obesity and Assist Weight-Management Goals among Adults
Authors: Zhou Yanzhu
Published: July 2022

Today, there is not merely a public-health crisis regarding obesity, but a worldwide epidemic. To a degree, clinically significant reductions in weight can be pursued via intensive, conventional interventions to address behaviour. Nonetheless, limits on resources, and the associated costs, make this approach problematic in terms of scalability. As regards intervention content, and as a means of tackling these challenges, researchers have recently devoted more attention to mobile devices and the Internet. A range of behavioural factors generates obesity. Mobile health (mHealth) technologies target these factors and seek to change them, in order to foster healthier lifestyles. Given its portable and relatively inexpensive nature, mHealth comprises a potentially important means of mitigating the morbidity and mortality associated with obesity, as well as the social costs that the condition incurs. The present study seeks to interrogate the extant evidence for the efficacy of mHealth in mitigating the costs of obesity and effecting weight management. It also reviews some of the smartphone applications (apps) associated with the mHealth paradigm. These apps will be considered in terms of their challenges and implications, as well as their potential. In fact, extant research data do suggest that mHealth apps may be delivered remotely, at relatively little cost, as a means of managing adult obesity, and crucially, that they may be deployed more successfully than traditional care. In other words, mHealth evinces much potential, albeit with the caveat that the technology is still in its infancy. It may be some time before its full capacity as a means of reducing obesity is fully exploited. Substantial future research on this issue will be necessary, and it must address cost effectiveness, long-term outcomes, user engagement and the development of applications. Such research will, in due course, allow us to appraise the true feasibility of using mHealth apps as a permanent, and expanding, tool for obesity reduction and weight management.
Lifestyle and dietary patterns as risk factors affect gastric cancer in Iran
Authors: Cheng Mengqi , Li Sihan
Published: July 2022

Though the global incidence of stomach cancer (also named gastric cancer, GC) has been reduced steadily in recent decades and it is one of the most serious health problems facing Iran. The statics show that it is the second prime reason of death in Iran, so its prevention is one of the most significant aspects of the cancer control strategy, both in Iran and across the world. The specific factors contribute to the decline is in GC is uncertain, taking in account of regional disparities, racial traits, tendency of cancer incidence with time and food preservation techniques, economic-social status and so on. But GC is closely linked with some quantifiable elements, such as diet and the continual perfection of the role of nutrition and increased access of fresh fruits and vegetables. This paper aims to summarize the on-going clinical trials, future directions and some preventions of GC. And also appraise the current evidence surrounding relationship between risk factors of GC and Iran diet in terms of micro-nutrients and salt intake, smoking as well as helicobacter pylori infection.
Pathophysiological mechanisms underlying Parkinson’s disease
Authors: Wei Tianhao
Published: July 2022

Parkinson’s disease is a neuronal synucleinopathy disease triggered by the abnormal aggregation of the presynaptic α-synuclein protein. Those abnormal α-synuclein protein undergo a series of post-translational modifications such as phosphorylation and ubiquitination and become pathological aggregates, which then flourish and spread within a wide range of neurons. The spread of the α-synuclein aggregates, also known as the Lewy Body, eventually leads to the succumb of almost the entire brain, contributing to serious clinical symptoms and death of the PD patients. On the other hand, many attributes of the α-synuclein protein and the Lewy body still remain unclear. For instance, the physiological functions of the α-synuclein protein and how it exactly develops into pathological bodies remain vague. In this perspective, we review the basic physiology of the α-synuclein protein. Also, we review the basic pathology and the post-translational modifications of the Lewy Body. Eventually, we review the formation and the spreading of the Lewy body on both cellular and clinical levels in human and animal models.
Nano-medicine in Treating Reumatoid Arthritics
Authors: Wei Jingyuan
Published: July 2022

Rheumatoid arthritis (RA) is a clinically regular systemic immune disease caused by multiple genes or other factors. In a long time, scientists have taken many treasures to treat this disease. Due to the multiplicity of rheumatoid arthritis and the adverse effects of traditional drugs for the treatment of rheumatoid arthritis, scientists are actively trying to develop new technical methods, such as combining nanotechnology with traditional drugs to improve drug delivery efficiency and reduce the adverse reactions caused by traditional medicine. There are some typical pathological features in the development of rheumatoid arthritis. This review will focus on the theme of "Designing different nanomedicines based on pathological features" and divide the review into three parts: passive targeting, active targeting, stimulus-responsive targeting, In this review, the current nanomedicines for the treatment of rheumatoid arthritis are classified and summarized, with the prospection of future development of the technology at last.
Cloning and Analysis of Glutathione S-Transferase MsGSTU21 Gene in Medicago Sativa
Authors: Fu Yuhao , Zhang Yujing , Zhou Peng
Published: July 2022

As the perennial herb of the Leguminosae and Medicago L., Medicago sativa is the herbage crop widely used in countries all over the world, and it is the cornerstone of the development of animal husbandry in many big powers. Under abiotic stress, plants produce excess peroxides, peroxides damage the cell membranes of plants and attack some macromolecular substances in plants. In toxicology, glutathione can be combined with cellular biological macromolecules, thereby preventing some toxic exogenous chemicals from covalently bonging to it, avoids damage to the organism, and make the body complete life activities normally to achieve the effect of interpretation. It appears that it is particularly important to help improve the stress resistance of Medicago sativa.
Construction of an optimal model for the preparation of C4 olefins based on multiple regression
Authors: Yang Lihong , Yang Leilei
Published: July 2022

In this paper, based on the data obtained from a series of experiments conducted by a chemical laboratory for different catalysts at different temperatures, the optimization model and regression relationship model are established by using Gibbs free energy law, chemical equation energy analysis, chemical reaction equilibrium, the preparation of C4 alkenes by ethanol coupling was studied. By analyzing the temperature variation law of ethanol conversion and C4 olefin selectivity under different catalyst combinations, a regression relationship model was established, and the functional relationship between the variables was obtained. Then, the effects of different catalyst combinations and temperatures on ethanol conversion and C4 olefin selectivity were discussed. At the same time, in order to establish two optimization models, the first model is the C4 olefin yield model, which takes the minimum C4 olefin yield as the goal, and takes the range of factors such as temperature, and total mass as constraints. The second optimization model is based on the previous one with a constraint that the temperature is below 350°C, and then solved in MATLAB.
Investigating Diabetes Mellitus by The Central Limit Theorem
Authors: Lyu Gehan
Published: July 2022

In recent several years, Diabetes Mellitus (DM) has emerged as one of the most serious global healthcare problems. This project is to investigate DM by the Central Limit Theorem (CLT), which is one of the most important results in Probability Theory and Statistics and is the reason the normal distribution plays such a significant role. Firstly, use R to simulate the process of CLT and prove it by Normality Testing. Then investigate the probability of getting DM and the relationship between DM and Diabetic Complications.
Low glucose concentration estimation based on reaction with 4,4'-biphenyl boronic acid using deep learning
Authors: Li Yiru , Gao Chi , Jing Haonan , Fan Bozhao , Fan Qi , Hu Bingliang , Liu Xuebin , Wang Quan , Feng Yutao
Published: July 2022

Minimally invasive blood glucose level estimation with Raman spectroscopy is an important research field and attracts great attention. However, glucose concentration in blood is low and is difficult to be accurately measured. In this paper, we creatively proposed applying the 4,4'-biphenyl boronic acid to react with different concentrations of glucose to obtain the complex—(C36H40O18B4) n. We performed a regression of the Raman spectral data of (C36H40O18B4) n and the glucose solution separately to compare their estimation results. We applied a deep learning network, ResNet, and compared it with regression models of conventional machine learning, uniformly using ten-fold cross-validation. The experimental results show that the generated (C36H40O18B4) n can effectively improve the estimation performance of glucose. The results showed, the ResNet model does not require explicit feature extraction and can achieve fast and accurate estimation. Its performance is significantly better than the traditional linear analysis method, and the R square can reach 0.93. The method in the article can effectively improve the estimation effect of low-concentration glucose.
Notes on the distribution of some South Indian grasses
Authors: Kabeer K. A. , Benjamin J.H. , Nair V.
Published: July 2022

The paper deals with 15 grass species that have been wrongly reported in various earlier publications as occurring in Tamil Nadu. This lapse is due to wrong identifications and wrong interpretation of the word ‘Madras’ appearing on old collections and in literature. Various early collectors and authors used this word to mean different geographical areas, viz. (i) Madras Presidency of British period comprising most of Southern India (ii) Madras State of India after independence comprising present day Tamil Nadu, parts of Andhra Pradesh, Karnataka and Kerala (iii) the present day Tamil Nadu (old name Madras State) and (iv) the present day Chennai city (old name Madras City). This has created utter confusion about the actual distribution of these and many such plants. A detailed search and study of materials available in all relevant herbaria and critical evaluation of earlier literature revealed that the species mentioned in this paper even though reported as occurring in Tamil Nadu has never ever been collected from that area. The present paper aims at setting the records straight so that further confusion can be avoided.
Screening effective strain of Pseudomonas Fluorescens against Fusarium Solani causing wilt in Dalbergia Sissoo Roxb.
Authors: Shukla Achuta , Gupta H.
Published: July 2022

Rhizobacteria offer as a potential tool against diseases in certain crops. Pseudomonas fluorescens is one such useful bacterium employed in crops to contain the pathogens. P. fluorescens was collected from eleven different locations from the rhizoplane of healthy trees and its antagonistic potential was tested against Fusarium solani. Pf-8 strain collected from Khizrabad, Yamuna Nagar (Haryana) was found to be highly antagonistic for use in future studies.
Maternal Obesity & Feto-Maternal Outcomes
Authors: Rani Shazia , Anjum Farhana , Amna Siddique Ambreen , Khan Sarosh , Kazi Khalil , Almas Sindhu
Published: July 2022

Obesity has become a “silent epidemic and its prevalence is increasing in pregnant women. Objective: This study aims to highlight the impact of maternal obesity on the fetal and maternal outcome. Methods: The study was conducted on 320 pregnant women in their ﬁrst trimester with viable singleton pregnancy at Department of Gynecology & Obstetrics, Liaquat University of Medical & Health Sciences, Jamshoro. The obese group (BMI > 25) of 160 women, were compared for feto-maternal outcome, with parity matched 160 women in non-obese group (BMI < 25). Results: There was increased incidence of antepartum, intrapartum and fetal complications in obese group as compared to non-obese group. Preeclampsia was seen in 42.1% vs 14.1%, GDM in 14.5% vs 10.3%, induction of labor in 31.9% vs 13.3%, in obese as compared to non-obese respectively. Lower segment caesarean second (37.5% vs 13.8%), macrosomia (22.4% vs 1.3%), shoulder dystocia (18.4% vs 3.8%), birth asphyxia (11.8% vs 5.1%) and neonatal intensive care unit (NICU) admission (12.7% vs 6.6%) were more common in obese as compared to non-obese. Conclusion: Maternal obesity is a risk factor for many antepartum, intrapartum, postpartum and fetal complications. All attempts should be made to prevent obesity in women of childbearing age” and to encourage weight loss before pregnancy
Comparison Of Metoclopramide and Dexamethasone in Post-Operative Vomiting
Authors: Rab Abdul , Parveen Sughra , Iqbal Mazhar , Ahmad Tanveer , Ali Asif , Waheed Abdul
Published: July 2022

Postoperative nausea and vomiting are one of the most common complaints following anesthesia and surgery. This study was designed to evaluate the efficacy of dexamethasone and metoclopramide to prevent postoperative vomiting (POV) in patients undergoing abdominal surgeries. Objective: To compare the efficacy of injection metoclopramide with injection dexamethasone for POV after abdominal surgeries. Methods: This Randomized Double-Blind Controlled Trial was conducted in ward 3, Jinnah Postgraduate Medical Centre, Karachi for one year., upon a sample of 98 patients, aged 12 to 60 years and undergoing abdominal surgery (elective and emergency) divided into two groups (Group A: Injection Metoclopramide 10 mg, and Group B: Injection Dexamethasone 8mg), of 49 patients each. The incidence of POV were recorded during the first 24 h postoperatively. Results: The mean age of the sample stood at 31 (SD ± 03) years, with most of the sample comprising of males (72.45%). Vomiting was noted in both groups, with group a reporting vomiting among 07 individuals and group B reporting vomiting among 09 individuals. There was no statistical difference between the incidences of vomiting in both groups. Conclusion: After careful consideration, it may be concluded that both agents, namely metoclopramide and dexamethasone are efficacious at minimizing the incidence of POV and hence both may be used interchangeably or in conjunction among patients undergoing abdominal surgeries
Breast Cancer Screening and Diagnostic Advancements
Authors: Hassan Sana
Published: July 2022

The best tool to detect breast cancer (BC) is `screening`. Earlier screening improves prognosis and better treatment outcomes. Screening is basically looking for different signs before the appearance of actual symptoms. The process of screening specifically used for BC is known as mammography.

Mammography is an explicit kind of imaging system that uses X-Rays (low dose) to ascertain cancer in breasts. This diagnostic procedure is in practice since the past 30 years but in the past 15 years, there is an improved set of techniques being introduced resulting in better results. Recently, three major diagnostic procedures for breast cancer which are in vogue include digital mammography, computer-aided testing and tomosynthesis. Out of these 3 diagnostic tools, tomosynthesis, furthermore branded as three-dimensional (3-D) mammography and digital tomosynthesis, is the supreme and innovative system of breast imaging where numerous pictures of the breast from diverse angles are taken and remodeled ("synthesized") resulting in formation of a three-dimensional group of images. That is why, 3-D imaging technique is alike computed tomography imaging system in which a sequences of thin "slices" are gathered to formulate a 3-D reformation of the body.

Even though the strength of radiation for few tomosynthesis systems is higher to some extent as compared to power of the dosage used in typical mammography, but as long as it is in the predefined radiation limit approved by FDA it`s not harmful. Some of the systems have doses comparable to conventional mammography. Some previous studies on large populations have proved that breast screening with tomosynthesis have resulted in enhanced the rate of detection of breast cancer detection rates and it has also decreased the chances of recalls, especially at occasions where females are called back for screening for added testing because of a possibly uncharacteristic finding.

Tomosynthesis has an edge on other diagnostic procedures as it may help in prior recognition of cancerous lesions that may be not be revealed on a conventional mammogram, it also eradicates the need for small number of preventable biopsies or supplementary testing and increases the probability of detection of several breast tumors. It also provides stronger imagining of irregularities within condensed breast tissue and greater precision in pinpointing the location, size and shape of breast anomalies.

Women should at least get a standard mammogram once a year beginning at age 40. The major risk factors for BC development are old age, inactivity, reproductive history, genetic mutations, family history of ovarian or BC, being overweight or obese after menopause, history of administration of hormones. Also, if someone, have had radiation treatment to the chest in the past, it’s highly recommended that such women should have annual mammograms at a younger age (often beginning around age 30).
Study of influence of anti-dementia drugs and nutritional supplements in elderly patients with mental decline
Authors: Mishra Sandhya , Samal Rajashree , Swain Sarada , Dash Beda
Published: July 2022

Background: Malnutrition is a common condition among elderly people with dementia and is associated with low nutrient and calorie intake. There are no data about efficacy of intervention with nutritional supplements in addition to medication in cognitive decline people.

Aims and Objectives: we aimed to find out the nutritional status of patients with cognitive decline and to ascertain the effects of nutritional supplements with medication in such patients.

Materials and Methods: This observational study was conducted for 12 months. All patients admitted with cognitive decline as per the mini-mental state examination score were included after informed consent. The demographic details, clinical features, treatment given, and response to treatment were noted and tabulated as mean ± and SD and analyzed statistically.

Results: Maximum patients were found to be of moderate degree cognitive decline and were at risk of malnutrition. There was significant improvement in cognitive status and behavioral symptoms after 12 months of treatment with nutritional supplements and drugs in our study population.

Conclusions: Addition of nutritional supplements to drug therapy does provides significant advantages in cognition and neuropsychiatric symptoms. They did add a lot in rectifying the deficiency of different nutritional parameters and thereby improving the domains such as nutritional functions and activity of daily living.
Prevalence of depression in healthcare workers of a COVID-19 First Line Treatment Centre in North Kerala
Authors: A Ajith , H Ahammed , M Jija , S Midhun , R Harshini
Published: July 2022

Background: The COVID-19 pandemic had a widespread impact over the health-care system all over the world. This had resulted in varying degrees of psychological issues on healthcare workers.

Aim and Objectives: The aim of the study was to assess the prevalence of depression among healthcare workers of a COVID-19 first line treatment center (CFLTC).

Materials and methods: In this cross-sectional study, 240 healthcare workers who volunteered for the study at COVID first line treatment centre-3 NIT mega boys’ hostel, Kozhikode, Kerala were recruited. They were interviewed, basic demographic data and patient health questionnaire-9 was administered. The data were analyzed with Microsoft Excel. The prevalence among various categories of healthcare workers were compared.

Results: The prevalence of depression among healthcare workers was 52%. The prevalence of depression is each category of staff-doctors, staff nurses, cleaning staffs, and patient caretakers-separately. It was found that depression is inversely proportional to the knowledge, experience, medical qualification, and training.

Conclusion: The prevalence of undetected depression is high among healthcare workers working in unconventional environment as in warfront situations such as COVID pandemic. The present study emphasizes the importance of proper screening of depression among healthcare workers in such circumstances in years to come.
Credit Card Fraud Detection Using Machine Learning Techniques
Authors:   Business Information Systems - BIS - Helwan University, Samy Nermin , mohamed Shimaa mohamed ,   Business Information Systems - BIS - Helwan University
Published: July 2022

This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily. The globe has just begun to shift toward financial inclusion, with marginalized people being introduced to the financial sector. As a result of the high volume of e-commerce, there has been a significant increase in credit card fraud. One of the most important parts of today's banking sector is fraud detection. Fraud is one of the most serious concerns in terms of monetary losses, not just for financial institutions but also for individuals. as technology and usage patterns evolve, making credit card fraud detection a particularly difficult task. Traditional statistical approaches for identifying credit card fraud take much more time, and the result accuracy cannot be guaranteed. Machine learning algorithms have been widely employed in the detection of credit card fraud. The main goal of this review intends to present the previous research studies accomplished on Credit Card Fraud Detection (CCFD), and how they dealt with this problem by using different machine learning techniques.
Research on the Financing Capability of Chinese SMEs
Authors: Li Qing , Xian Jing
Published: July 2022

The evaluation of financing ability is very important to promote the small and medium-sized borrowing capacity of science and technology, and it is the first premise to clarify the financing obstacles of enterprises. However, the traditional view only emphasizes the role of self-ability and neglects the research of financing environment. With the development of national economy, science and technology-based small and medium-sized enterprises have received extensive attention, mainly because science and technology-based small and medium-sized enterprises are the main force to promote national economic development. Because of their own and external factors, small and medium-sized science and technology enterprises generally have financing problems. Improving the financing ability of small and medium-sized enterprises is an effective way to solve the problem of capital shortage. At the same time, many small and medium-sized enterprises face more risks in their development, and their growth is unpredictable, which makes it difficult for financial institutions such as banks to make loan decisions. However, at present, some small and medium-sized enterprises still have many unsolved problems in the financing process, which affects the development of high-tech small and medium-sized enterprises. This requires relevant departments to pay full attention to the optimization of their financing system, constantly innovate financing methods and lay a solid foundation for their subsequent development.
Microsoft’s overview and development strategies based on multiple analyses
Authors: Zhao Boqing
Published: July 2022

The development of the Internet has changed all aspects of Internet companies, patterns of people's lives, and the orientation of economic progression. Then, Microsoft company is the bellwether in internet enterprises. This article takes Microsoft company as an instance to analyze issues related with the internet industry. Via SWOT analysis, key ratios analysis, and relative evaluations, this article in-depth discuss preponderances, disadvantages, opportunities, threats, and risks of Microsoft company during its development and provides some recommendations in terms of its overall situation.
Stock Price Crash Risk and Financing Constraints: An Explanation Based on the Moderate Effect of Corporate Performance
Authors: Song Yufei , Ma Kehan
Published: July 2022

The stock price crash risk and financing constraints are the focus of current social concerns, and the moderating effect of corporate performance on them has also been focused. This paper uses the data of China's A-share listed companies in 2018 to study the interaction mechanism and relationship among corporate performance, the stock price crash risk and financing constraints. The results show that the stock price crash risk significantly increases the degree of financing constraints, and good corporation performance reduces the increasing effect of stock price crash risk on financing constraints. Further robustness test shows that this conclusion holds for all enterprises of different ownership, and is more obvious for enterprises of larger size. The research conclusions not only enrich the literature on corporate performance, financing constraints and stock price crash risk, but also have important referenced value for reducing the stock price crash risk. Additionally, it promotes the healthy and stable development of China's capital market.
Empirical Analysis of Multi-factor Stock Selection Model Based on Weight Assignment of Momentum and Discrete Degree
Authors: Li Li , Tian Sui
Published: July 2022

Through the stock selection of a large number of literature, we found that factors contribute differently at different market styles or stages, and the factor weight is different. Therefore, in this paper, the factors were preliminarily screened by IC mean and IR equal weight scoring method and T test, and then the screened factors were tested by correlation test and sorting method to obtain the final factors. After five methods, such as factor equal weight, momentum and dispersion comprehensive average weight, were tested and compared, we found that the method of momentum and dispersion comprehensive average weight on the effect of the stock selection is more excellent than other methods, so we chose the momentum and discrete degree of comprehensive weighted average approach to dynamic weighting of each stock, the last stock through empowerment scoring method selection. In this way, the speed of market change and the impact of industry on factors are better considered, and the te-test effect is better.
An empirical study on the relationship between industrial structure and economic growth in Guangdong Province
Authors: Feng Jing , Yang Qiaowen , Yao Yonghong , Cheng Yuxin
Published: July 2022

According to the viewpoint of structuralism, if the optimization of resource allocation does not hold, this study focuses on considering the impact of economic structural changes on economic growth. There is an inherent relationship between industrial design and economic development, and timely adjustment of industrial systems is the binding force for sustained economic growth. Based on the data from Guangdong Province from 1979 to 2018, this paper uses econometric methods to establish a model for the contribution of industrial structure to economic growth. The research results reveal Guangdong Province's industrial design evolution and the relationship between industrial structure and economic development. Relevant policy recommendations.
The Impact of R&D Investment on Innovation-driven Efficiency-Based on the Application of Input-output Theory in Financial Analysis Teaching
Authors: Hu Mingyao , Fang Ming
Published: July 2022

This article applies the input and output theory to the empirical teaching of financial analysis. Based on data from 2013-2018 of high-tech enterprises in Hubei Province, this paper conducts an empirical study on the impact of R&D investment on various aspects of innovation-driven efficiency. This paper constructs a DEA model, uses DEAP2.1 software to calculate the innovation-driven efficiency of an enterprise, and discusses the impact of R&D investment on enterprise technical efficiency and scale efficiency. Establish a multiple regression model and use Stata software to study the impact of R&D investment intensity and R&D personnel investment intensity on the efficiency of corporate innovation-driven.