bluuebunny/crossref_metadata_2025 huggingface dataset:
Strategi Pemerintah Kampung dalam meningkatkan perekonomian masyarakat melalui pengembangan ekowisata mangrove Kampung Teluk Dore Kecamatan Makbon Kabupaten Sorong
Authors: Salmawati Salmawati , Fikri Awal , Banggu Masni
Published: December 2022

This study aims at identifying the efforts and obstacles of the village government in promoting mangrove ecotourism in Teluk Dore village. This research uses a descriptive qualitative approach. The findings shows that the efforts of the village government in promoting mangrove ecotourism are carried out by extending market-share through promotion in social media and the establishment of gazebos for meeting places, performing tourist attractions, improving accessibilities, improving ecotourism services, and empowering the organizarions. Its main obstacles are the lack of funding sources and inadequate ecotourism facilities and security patrols. Although sub-district and district government support the efforts of Teluk Dore village government, the lack of cooperation with other parties contributes to the problems in developing mangrove ecotourism Teluk Dore at higher level.
Diversity in Orthopaedic Surgery Medical Device Clinical Trials: An Analysis of the Food and Drug Administration Safety and Innovation Act
Authors: Issa Tariq Ziad , Lambrechts Mark J. , Lin Jasmine S. , Brush Parker L. , Canseco Jose A. , Hilibrand Alan. S. , Kepler Christopher K. , Schroeder Gregory D. , Vaccaro Alexander R.
Published: December 2022

Introduction:

Demographic factors contribute markedly to orthopaedic surgery outcomes. However, women and minorities have been historically excluded from clinical trials. The United States passed the Safety and Innovation Act (Food and Drug Administration Safety and Innovation Act [FDA-SIA]) in 2012 to increase study diversity and mandate reporting of certain demographics. The purpose of this study was to investigate demographic reporting and analysis among high-risk orthopaedic medical device trials and evaluate the effectiveness of the FDA-SIA in increasing diversity of study enrollment.

Methods:

The premarket approval database was queried for all original submissions approved by the Orthopedic Advisory Committee from January 1, 2003, to July 1, 2022. Study demographics were recorded. Weighted means of race, ethnicity, and sex were compared before and after FDA-SIA implementation with the US population.

Results:

We identified 51 orthopaedic trials with unique study data. Most Food and Drug Administration device trials reported age (98.0%) and sex (96.1%), but only 49.0% and 37.3% reported race and ethnicity, respectively. Only 23 studies analyzed sex, six analyzed race, and two analyzed ethnicity. Compared with the US population, participants were overwhelmingly White (91.36% vs. 61.63%, P < 0.001) with a significant underrepresentation of Black (3.65% vs. 12.41%, P = 0.008), Asian (0.86% vs. 4.8%, P = 0.030), and Hispanic participants (3.02% vs. 18.73%, P < 0.001) before 2013. The FDA-SIA increased female patient enrollment (58.99% vs. 47.96%, P = 0.021) but did not increase the enrollment of racial or ethnic minorities.

Conclusion:

Despite efforts to increase the generalizability of studies within the FDA-SIA, orthopaedic medical devices still fail to enroll diverse populations and provide demographic subgroup analysis. The study populations within these trials do not represent the populations for whom these devices will be indicated in the community. The federal government must play a stronger role in mandating study diversity, enforcing appropriate statistical analysis of the demographic subgroups, and executing measures to ensure compliance.

Level of Evidence:

I.
THE PATH FROM INTELLECTUAL CAPITAL TO INNOVATION: A RESEARCH WITH THE OIL COMPANIES AFFILIATED TO THE NATIONAL OIL CORPORATION (NOC) IN LIBYA
Authors: Mohamed İbrahim , Kanbur Aysun
Published: December 2022

The aim of this study is to determine the role of intellectual capital on different types of innovation. In this context, an empirical research was conducted with executive managers of oil companies affiliated to National Oil Corporation (NOC) in Libya. Data of the study was collected via questionnaire. Different components of intellectual capital explained in the literature as human capital, social capital and organizational capital. Besides, for innovation activities, many researches in the literature distinguish different types of innovation as product innovation, process innovation, marketing innovation and organizational innovation. Variables of the study were accepted by means of these classifications and hypotheses were tested through correlation and regression analyses. Findings revealed that human capital has a positive significant effect on product innovation and process innovation, and social capital has a positive significant effect on process innovation, whereas there isn’t observed any significant effect of organizational capital on different types of innovation.
Characteristics of development and damage of Stictocephala bubalus f. in Verishen community of Syunik marz
Authors:   Armenian National Agrarian University, Manvelyan A. A. , Ghazaryan M. H. ,   Armenian National Agrarian University, Babayan A. A. ,   “ARNAP” disaster risk reduction national platform foundation
Published: December 2022

The geographical location of the Syunik region of the Republic of Armenia, the global warming of the climate, the presence of fodder plants have ensured the survival, reproduction and territorial settlement of Stictocephala bubalus F., in new, more southern settlements. As a result of our research in 2019-2021, in the orchards of Verishen community of Syunik marz, we have registered the harmfulness of Stictocephala bubalus F., which is located at an altitude of 1645- 1650 m. At the initial stage damage was observed on several cultivated fruit species, and later to wild species.The pest damages the trees both during feeding and during spawning, causing cuts. In Vernashen Stictocephala bubalus F. mostly damages pears and apples from fruit trees.
О применении гербицидов напосевах столовой свеклы
Authors:   Научный центр анализа и оценки рисков в сфере безопасности пищевых продуктов, Балаян А. Л. , Агаронян А. Г. ,   Научный центр анализа и оценки рисков в сфере безопасности пищевых продуктов, Саркисян С. М. ,   Научный центр анализа и оценки рисков в сфере безопасности пищевых продуктов
Published: December 2022

Under Shirak region conditions on table beet’s sowing herbicides Dual Gold and Zellek Super in 1,5 and 1 l/ha dosages have been tested. They showed high biological efficacy against certain groups of weeds and increased the crop, which was more in the version with Dual Gold. No residues of them in crop have been detected. It was not revealed essential deviation of contents of main biochemical indices of root - crops from check.
Parents’ Levels of Involvement and Role Construction in Children’s Reading at Home
Authors: Garcia Anna Katherine C , Ancheta Winicel May C
Published: December 2022

Using a descriptive research methodology, this study determined parents’ levels of involvement and role construction regarding involvement in children’s reading at home. This study surveyed 379 parents of Grade 4 pupils from the Schools Division of Ilocos Norte for school year 2019-2020. The Assessment Tool on Parents’ Levels of Involvement in Children’s Reading at Home and Levels of Role Construction Regarding Involvement in Children’s Reading at Home was used to gather data. Mean was used to describe their responses to the survey-questionnaire with respect to modeling, cognitive and behavioral dimensions of parental involvement; and their levels of role construction regarding involvement in children’s reading at home. Majority of the parents had low levels of involvement in the modeling, cognitive, and behavioral dimensions; their level of role construction was high.
Comparative Efficacy of Moringa oleifera Leaves and Diclazuril on Chicken Coccidiosis
Authors: Mashalla Abdel , Sawy Abd , Ashoura Neveen , Maddawy Zeynab
Published: December 2022

This study aimed to investigate the possible anticoccidial efficacy of Moringa oleifera leaves vs. Diclazuril, as well as production performance and antioxidant activities in broilers exposed to experimental coccidiosis. A total of 160 one-day-old broiler chicks (Ross 308) were randomly allocated into four groups (n=40) as follows: Group 1: unchallenged, untreated; Group 2: challenged, untreated; Group 3: challenged, treated with diclazuril 1mg/kg ration; and Group 4: challenged, treated with Moringa oleifera leaves (20g/kg ration). The birds of all groups except those of group1 were challenged with mixed Eimeria species at the day 14th of the experiment. The mortality rates were 14.8 % in Group 2, 8.8 % in Groups 3 and zero % in group 4. A significant improvement of the final body weight and the feed conversion ratio induced by Moringa oleifera group when compared with that obtained by diclazuril group. The average lesion score was decreased in medicated groups with a better effect in the caecum for Group 3, while Group 4 exhibited a much decrease in lesion score in the upper and the lower intestinal parts and in the caecum. The average oocysts count in Groups 3 and 4 was 7.9x103 and 14.5x103, respectively, while Group 2 had 67.1x103 oocysts. Furthermore, both Moringa oleifera leaves and Diclazuril increased plasma carotenoids levels and growth performance, as well as decreased oxidative stress. Moringa oleifera leaves were found to be as effective as diclazuril against coccidiosis. It could be concluded that, Moringa Oleifera could be useful as alternative product for the control of coccidiosis in poultry production. In addition to its growth promoting effect, as well as its antioxidant effects.
Ginger modulates gene expression of oxidative stress, single and double DNA strand breaks, and micronucleus induced by variant durations and doses of monosodium glutamate in mice
Authors: Bakier Marwa , Hemeda Shaban , Nahas Abeer , Naby Walaa
Published: December 2022

This study aims to compare the genotoxic effects of low and high MSG doses in short and long term (6-12 weeks) exposure, as well as to investigate the potential protective effect of ginger co-administration against MSG genotoxicity. The expression of antioxidant genes (GST, MT1, CAT) and single and double strand DNA repair genes (XRCC1, FEN1) were analyzed also to detect DNA damage using the micronucleus assay. 120 Swiss albino male mice were allocated into six groups for each time interval exposure. Group 1 (Control), Group 2 received daily 160 mg/kg b.wt ginger, Group 3 (100 mg/kg b.wt MSG), Group 4 (240 mg/kg b.wt MSG), Group 5 (100 mg/kg b.wt MSG and 160 mg/kg b.wt ginger) and Group 6 (240 mg/kg b.wt MSG and 160 mg/kg b.wt ginger). Results revealed that high dose of MSG significantly increased GST expression in short- and long-term exposure. While short-term exposure to MSG both doses induced significant upregulation of CAT expression. The expression level of XECC1 was significantly increased by the MSG high dose in short-term treatment. Both doses significantly increased FEN1 expression level, particularly high dose of MSG in long-term exposure. The expressions of antioxidant genes and DNA repair genes are significantly downregulated in short and long exposure by both doses when co-administered with ginger. Moreover, long-term MSG exposure is associated with an increase micronucleus frequency. We concluded that MSG induced oxidative stress and DNA damage in mice. Additionally, ginger could be a potential candidate agent for reducing the genotoxicity caused by MSG.
Prevalence and Toxicity Characterization of Bacillus cereus groups in cheese Products from Egypt
Authors: Banna Ahmed , leboudy Ahlam , Sallam Said
Published: December 2022

The present study was carried out to isolate Bacillus cereus group from 150 samples of cheeses marketed in Egypt. 33 isolates of B.cereus isolates were confirmed morphologically by colony characteristics and biochemically by using conventional biochemical methods. The potential of specific colonies of B. cereus were selected to possess ces-SYBR and HbLA gene. Results revealed that B. cereus group was isolated from 10/25(40%), 7/25(28%), 6/25(24%), 4/25(16%) 3/25(12%) and 3/25(12%) from examined Kareish, Damietta, Parmesan, Cheddar, Romy and Roquefort cheeses; respectively. B. cereus group was found in 33/150(22%) of the total analyzed cheeses, with mean ± SEM count of 1.06×104± 0.18×104 , 4.77×103 ± 0.65×103, 2.83×103± 0.49×103, 1.20×103±0.22×103, 8.00×102±1.37×102, 4.6×102 ± 0.61×102 (CFU/ g-1) for examined Kareish, Damietta, Parmesan, Cheddar, Romy and Roquefort cheeses; respectively. The potential of 33 selected isolates of B. cereus to produce protease and lipase was verified. From the tested isolates 19% and 11% were capable of producing, protease and lipase; respectively, indicating spoilage potentiality. The occurrence of emetic ces-SYBR gene of B. cereus strains was (+ve) in 12 (36.4%) and occurrence of diarrheal HbLA gene was (+ve) in 15(45.5%) for (+ve) B. cereus isolated from all tested cheeses. The obtained results indicate the possible risk of foodborne infections/intoxications that occur as a result of the possibility of the development of B. cereus in favorable conditions and consumption of cheese.
International Maldia Health Science Congress
Authors: Uluata Sibel
Published: December 2022

The International Maldia Health Sciences Congress, which is planned to be held with the theme of "Innovative Approaches in Health Sciences", is planned to be hosted by İnönü University Faculty of Health Sciences. The main purpose of the congress; to share current developments, practices and experiences in the field of health sciences, to strengthen the interaction between health professionals working in the clinic, academicians and graduate students, to ensure communication, and to bring together national and international scientists. In the congress; health professionals working in the clinic and academicians will be provided with the opportunity to share current studies in the field of Health Sciences and Medicine, and to present current developments in each field. In addition, it is predicted that postgraduate students studying in the disciplines mentioned will also gain new knowledge and practical gains with different perspectives. It is thought that the congress will form the basis for multidisciplinary studies. It will be possible to present all kinds of scientifically prepared studies at the congress. International Maldia Health Sciences Congress was held for the first time
Uluslararası Maldia Sağlık Bilimleri Kongresi-poster
Authors: Uluata Sibel
Published: December 2022

The International Maldia Health Sciences Congress, which is planned to be held with the theme of "Innovative Approaches in Health Sciences", is planned to be hosted by İnönü University Faculty of Health Sciences. The main purpose of the congress; to share current developments, practices and experiences in the field of health sciences, to strengthen the interaction between health professionals working in the clinic, academicians and graduate students, to ensure communication, and to bring together national and international scientists. In the congress; health professionals working in the clinic and academicians will be provided with the opportunity to share current studies in the field of Health Sciences and Medicine, and to present current developments in each field. In addition, it is predicted that postgraduate students studying in the disciplines mentioned will also gain new knowledge and practical gains with different perspectives. It is thought that the congress will form the basis for multidisciplinary studies. It will be possible to present all kinds of scientifically prepared studies at the congress. International Maldia Health Sciences Congress was held for the first time
Percutaneous Pinning Versus ORIF For Treatment Of Extraarticular Metacarpal Fractures
Authors: zdemir Mahmut , Karaduman Mert , lu Mustafa , en Hakan , Demirkale smail , Altay Murat
Published: December 2022

Objectives: Metacarpal fractures are common, and several surgical treatment methods have been described. This study aims to compare the clinical and economic aspects of two different surgical methods, closed reduction and K-wire fixation (CRPF) and open reduction and plate screw fixation (ORIF).
Methods: Between January 2009 and March 2014, 51 patients who received surgical treatment for metacarpal fractures were retrospectively evaluated. Of them, 36 patients (29M, 7F) performed CRPF, and 15 (12M, 3F) performed ORIF. Patients were followed up for an average of 17.6 weeks. All patients were assessed according to the union, operation time, complications, cost-effectiveness, and the Michigan hand outcome questionnaire scores.
Results: The mean operation time was 13.7 minutes (5-37 minutes) in the CRPF group and 32.2 minutes (23-62 minutes) in the ORIF group (p<0.05). The mean union time was 5.4 weeks (4-9 weeks) in the CRPF group and four weeks (3-8 weeks) in the ORIF group (p<0,05). Hospital expenses were found to be, on average, 257.5 USD (45.8-311 USD) in the CRPF group and 660 USD (454.9-1074.6 USD) in the ORIF group (p<0,05). The mean Michigan Hand Surgery Outcome Questionnaire results were 86.4% (66-98) in the CRPF group and 68.7% (62-83) in the ORIF group (p<0,05).
Conclusion: We recommend CRPF because of its shorter operation time, better functional scores, and cost-effectiveness.
Type of study/level of evidence: Level III; Causal comparative retrospective study
The role of pre-operative serum albumin level in predicting the severe post-operative complications of major gastrointestinal surgery: A Prospective observational study
Authors: Bhat Bharath , N Praveen , Singhvi Suresh
Published: December 2022

Introduction
The prevalence of malnutrition is 30-50% in the hospital inpatients. Serum albumin level is an easily available indicator of preoperative nutritional status. The pre-operative hypoalbuminemia predisposes to post-operative morbidity and mortality. The post-operative complication grading system following major gastrointestinal surgery by Clavien- Dindo enables objective assessment of the severity.
Aim
To study the role of preoperative serum albumin as a predictor of severe post-operative complications after major gastrointestinal surgery.
Materials & methods
It is a prospective observational study conducted from October 2016 to April 2018 in a tertiary care center of northern India. All patients undergoing the major gastrointestinal surgery after exclusion of those with a predefined criteria constitute the study population. The pre –operative serum albumin level was determined. Patients were categorized according to the serum albumin level after calculating the cutoff from the data collected. The outcome variables like severity of post-operative complications, duration of ICU, length of hospitalization and mortality were analyzed.
Results
We have studied 100 patients of which 65 (65%) were males and 35 (35%) were females. Twenty two (22%) patients developed severe (Clavien-Dindo Grade ≥ 3) post-operative complications. The preoperative albumin level, intraoperative blood loss and the need for the blood transfusion was found to be the significant predictor of sever post-operative complications. The cut off value of pre-operative albumin level for the prediction of severe post operative complications was calculated to be 3.1 gm/dL (95% CI 0.64- 0.87; p value less than 0.001). The correlation between pre-operative albumin level and post-operative complication severity on simple linear regression analysis was found to be statistically significant with R2=0.133 and  co-efficient of -0.689 (p<0.001). Statististically significant correlation between preoperative serum albumin and duration of ICU, length of hospitalisation was identified. The cut off serum albumin level for postoperative mortality was 3.5gm/dl (AUC= 0.7) which was statistically insignificant (p=0.104).
Conclusion
Pre-operative hypoalbuminemia with the level less than 3.1gm/dL can predict higher grades of complications, increased length of hospitalization and ICU stay after major gastrointestinal surgeries.
A Novel Classifier for Cyber Attack Detection System in Industrial Internet of Things
Authors: Jeribi Fathe
Published: December 2022

The usage of the Internet of Things (IoT) conception in the industrial sector along with applications is referred to as the Industrial Internet of Things (IIoT). Various applications have been subsumed in the IIoT. Nevertheless, cybercriminals mostly target these systems. Thus, here, a novel methodology of Cyber Attack Detection (CAD) system has been proposed in IIoT to overcome the aforementioned issue. UNSW-NB2015 and DS2OS are the two IIoT datasets utilized in this work. Initially, in both datasets, the missing values are replaced; subsequently, the feature extraction is performed. Next, by utilizing Poisson Distribution-based Naked Mole Rat Optimization Algorithm (PD-NMROA), the significant features are selected as of both datasets. After that, by employing MaHalanobis distance-based K-Means (MaH-KMeans) algorithm, the features extracted as of the datasets are normalized along with clustered. Eventually, to classify the data, the clustered features are inputted to the TanSwish - Restricted Boltzmann Dense Machines (TS-RBDMs). The experiential outcomes displayed that the proposed methodology obtained higher efficacy in contrast to the prevailing systems.
Open Clinical Trial of Sambiloto (Andrographis paniculata) Ethanolic Extract Capsules in Treatment of Malaria Patients in Batubara District, Indonesia
Authors: Makmur Tri , Siregar Fazidah , Siregar Sahat , Lubis Ichwan , Bestari Ramadhan , Zein Umar
Published: December 2022

Background: Malaria infection is still a public health problem in Indonesia. One of the problems in combating malaria in Indonesia is the limited kind of antimalarial drugs provided by the government. Sambiloto (Andrographis paniculata) extract has been shown to have antimalarial activity in human clinical trials. Objective: To assess the ability of a single A. paniculata eethanolic extract capsule to treat malaria in humans caused by Plasmodium falciparum or P. vivax alone or mixed infections of both. Methods: An open clinical trial was conducted in Batubara District, Sumatra Utara Province, Indonesia, a malaria-endemic area. Sixty-nine malaria patients found in the field were diagnosed microscopically as malaria vivax, malaria falciparum, and mixed infections uncomplicated malaria with 12 years old and above. Previously all patients signed informed consent. All patients have been treated with A. paniculata ethanolic extract capsules 250 mg thrice a day for five days. Parasite density was calculated from D0, D1, D2, D3, D7, D14, and D28. Results: The efficacy of A. paniculata ethanolic extract capsules 250 mg thrice a day for five days against malaria vivax, malaria falciparum, and mixed malaria patients was 94.2%. There are no side effects were found during treatment. Conclusion: A. paniculata ethanolic extract can be used as an alternative antimalarial candidate derived from native Indonesian medicinal plants or as an adjunct in standard treatment for malaria.
Blunt Traumatic Tracheobronchial Injury: a Clinical Pathway
Authors: Aljehani Yasser , Aldossary Ibrahim , AlQatari Abdullah , Alreshaid Farouk , Alsadery Humood
Published: December 2022

Background: Motor vehicle collisions (MVC) are a major burden on healthcare systems. Saudi Arabia is one of the countries with a high mortality rate of MVC. Blunt tracheobronchial injuries are rare; however, it is a catastrophic event that requires a high center of care. Lack of experience and advanced faculty prompt early stabilization and transfer of the victim for advanced care. Due to the uncertainty of management of these injuries, we would like to share our experience in dealing with such injuries. Objective: To address the difficulties in initial management and transfer of patient with blunt traumatic tracheobronchial injuries. Methods: This is a single-center retrospective case-series study including patients admitted as cases of trauma including all age groups with blunt acute tracheobronchial injuries confirmed by imaging or bronchoscope. Results: In our study, four patients with tracheobronchial injuries were identified, and a retrospective analysis was performed. Two of the males and one of the females are adults, while the other two are pediatrics. Two of them have a right main bronchial injury and the other two have a left main bronchial injury. Posterolateral thoracotomy and bronchial anastomosis were performed on all four patients and were followed up. Conclusion: In Saudi Arabia, blunt trauma is a prevalent type of injury, although tracheobronchial injuries are uncommon. In the event of trauma, a high index of suspicion of tracheobronchial injuries in a high mechanism injury warrants prompt treatment. Due to a lack of experienced and specialized hands in this field, management may be delayed, and eventually lead to unfavorable outcomes, hence we thought of a guide to facilitate the decision-making.
A Review Study Toward Clinical and Histopathological Diagnosis Agreement in Skin Diseases
Authors: Sopijani Sidita , Akay Bengu , Daka Aferdita
Published: December 2022

Background: It is important to evaluate the agreement between clinical diagnosis and histopathological diagnosis. The aim of this study was to review studies and to calculate the degree of agreement between clinical and histopathological diagnosis. Objective: The aim of this review was to find out the concordance level between clinical and histopathological diagnosis; to find out in which type of pathology concordance was the highest; to identify the types of pathologies for which biopsy was mostly performed and the anatomical region selected for biopsy. Results and Discussion: Review was carried out in accordance with the PRISMA 2020 flow diagram for the selection of articles that met the criteria (years 2005-2021). Articles were found in Google scholar, PubMed, Scopus databases using different keywords. The main criterion was to involve studies that reported data about clinical and histopathological diagnosis. A mean concordance value was calculated and resulted of 72.8 % (95% CI). Conclusion: To our knowledge, our study was the first review done regarding concordance between clinical and histopathological diagnosis in skin diseases with the aim to provide researchers with enriched literature and encourage them to bring about an appropriate systematic review study.
Comparison of blood pressure readings among premenopausal and postmenopausal women and evaluation of factors associated with hypertension in women
Authors: Shah Heer , Majmudar Falguni , Shah Shailja , Malhotra Supriya
Published: December 2022

Background: Hypertension is widely prevalent in postmenopausal women.

Aim and Objectives: In our study, we aim to compare blood pressure (BP) readings among premenopausal and postmenopausal women and to assess the risk factors that lead to progression of hypertension.

Materials and Methods: A prospective and observational cross-sectional study was conducted among 372 women of age ranging from 18 to 85 years using standard case record form containing woman’s demographic details, personal history, social and family history, BP readings, and comorbidities. Mean, standard deviation, unpaired t test, and Pearson correlation were used to analyze the data.

Results: the prevalence of hypertension was observed more in postmenopausal women as compared to hypertension among premenopausal women. Prehypertension and hypertension were more prevalent in elderly women as compared to normotensives. Elevation of BP readings with increase in bodyweight and body mass index (BMI) was observed. Significant positive correlation (r = 0.42 systolic BP [SBP], r = 0.20 diastolic BP [DBP], P < 0.05] was observed between age and mean systolic and mean DBP. Positive correlation (r = 0.26 [SBP], r = 0.20 [DBP], P < 0.05) was also observed between BMI and mean systolic and mean DBP.

Conclusion: Increase in age, weight, BMI, higher socioeconomic status, nonworking status, and poor educational status were found to be likely risk factors for the development of prehypertension and hypertension among study population.
Educational interventional sessions should be provided to girls and women towards active lifestyles and healthy food
habits, especially postmenopausal women, to reduce the burden of hypertension.
Study of anthropometric measurements and lipid profile in regular exercisers
Authors: Jangam Swati , Singode Chetana , Tadasadmath Sanjeev
Published: December 2022

Introduction: Anthropometric measurements are simple, easy, cheap, and feasible methods used to estimate body fat. Regular exercise is very important for healthy life. Overweight and obesity are risk factors for hyperlipidemia and atherosclerosis. This study was aimed to correlate anthropometric parameters with lipid profile in healthy females performing regular exercise.

Aims and Objectives: The aim of the study was to study correlation of body mass index (BMI), waist circumference (WC), and waist hip ratio (WHC) with lipid profile in females performing regular exercise.

Materials and Methods: BMI, WC, hip circumference, and WHC measured using standard protocol. 2 mL blood sample collected after overnight fasting. ipid profile study for total cholesterol (TC), triglycerides, high-density lipoproteins, low-density lipoproteins (LDL), and very low-density lipoproteins was done using fully automated biochemical analyzer. Pearson’s correlation and Chi-square test used for statistical analysis.

Results: BMI and WC showed statistically significant positive correlation with TC and LDL. WHR showed highly significant positive correlation with TC and LDL.

Conclusion: BMI, WC, and WHR are showing significant positive correlation with TC and LDL. This underlies significance of regular exercise to maintain lipid profile in control range for good health.
EWM-CORR VE ARAS TABANLI BIST GİRİŞİM SERMAYE YATIRIM ORTAKLIKLARININ FİNANSAL PERFORMANS ANALİZİ
Authors: PALA Osman
Published: December 2022

Günümüzde, özellikle yeni kurulan işletmeler inovasyon üretimi ve gelişimi sağlayarak kendilerine bulundukları sektörlerde yer bulabilmektedirler. İnovasyon geliştirme çabalarında yüksek miktarlarda ve uzun vadeli kaynaklara ihtiyaç duyulmaktadır. Girişim sermaye yatırım ortaklıkları ise talep edilen fonu sağlayan şirketler olarak ekonomideki bu önemli açığı kapamaktadır. Bu şirketlerin fonlama işlemlerinin sağlıklı olabilmesi için güçlü bir finansal yapıya sahip olmaları beklenmektedir. Çalışmada, girişim sermaye yatırım ortaklığı sektöründe faaliyet gösteren şirketlerin finansal durum analizi, 2018 ve 2021 yılları aralığında gerçekleştirilmiştir. Şirketlerin paylaştığı finansal tablo verilerinden elde edilen finansal oranlar üzerinden EWM-Corr ve ARAS yaklaşımlarının birlikte kullanılması ile yapılan analizler sonucunda şirketlerin finansal başarım ölçümleri ortaya konmuş ve gerekli çıkarımlar sağlanmıştır.
A Two-stage Model: Investment Market Trading Model Based on Prediction and Adaptive Strategies
Authors: Li Shancheng , Hu Kefei , Wu Yuyang
Published: December 2022

Market traders buy and sell volatile assets frequently, with a goal to maximize their total return. Two such assets are gold and bitcoin. This paper constructs a two-stage model for price prediction and trading strategy formulation. Firstly, we build a dynamic ARIMA-LSTM hybrid model. And before applying it, we use CEEMDAN method to decompose the non-stationary time series first and then reconstruct the final result by predicting each IMF and summing up weighted. And then the model can update the training set dynamically when new price data is released. After getting prices predicted, we calculated several quantitative trading indicators so that we can make decisions more comprehensively instead of only focusing on the predicted price. And we use semi-supervised SVM to develop an adaptive strategy to maximize the total return. Finally, we demonstrate the superiority of our strategy from two perspectives. In actual investment transactions, the two-stage model can be used as a guide for the formulation of trading strategies, thereby avoiding risks and increasing returns.
The Yield and Volatility of Financial Markets in the UK and China under the Russia-Ukraine Conflict
Authors: Liu Haoyu
Published: December 2022

The Russia-Ukraine conflict was officially fought on 24 February 2022, heightening international tensions and causing externalities to the global economy, resulting in the ensuing volatility of crude oil prices. Based on the broader context that the Russia-Ukraine conflict imposes significant downward pressure on international financial markets, this paper aims at finding the potential tie between stock markets volatility and increasing crude oil prices based on the timeline of this regional conflict and analyses the logic behind the relationship, using evidence from the UK and China as well as VAR and ARMA-GARCH models. The findings show that in terms of the fundamentals of stock market operations, in the short period following the outbreak of the Russia-Ukraine conflict, accompanied by a surge in oil prices, both in the UK and China markets, stock markets fluctuated dramatically and moved downwards rapidly over a short period of time. However, over time it is not possible to intuitively judge the medium to long-term impact on equity markets of the rise in oil prices caused by this situation. For policy makers, there is a package of monetary, fiscal and tax policies that can be implemented to counter the externalities caused by the Russia-Ukraine conflict. It is worth noting, however, that any policy has a corresponding cost. For investors, investment behavior depends on one's level of risk appetite, but the general advice is to avoid relevant investments in the short term in the event of an outbreak of the Russia-Ukraine conflict.
The Time-Varying Impact of Oil Price Changes on the Consumer Sector: Evidence from the Russia-Ukraine Conflict
Authors: Li Xinjie
Published: December 2022

The impact of changes in oil prices has always had a more or less significant impact on various industries, often affecting the whole body, so the impact of oil price changes has been a hot topic of research. There is still a gap in the literature in terms of the statistically significant impact of oil price changes caused by the large-scale war between Russia and Ukraine, which radiates to the consumer sector. This paper collects WTI and Brent crude oil settlement prices, as well as consumption indices, from three months before the outbreak of the Russia-Ukraine conflict to the present. To achieve smoothness, a VAR model is built using the log-return series of the three data sets, and impulse response plot analysis concludes that there is indeed a significant correlation between the two crude oil prices and the consumption index. An ARMA-GARCH model was later developed to quantify the correlation and derive specific values for the volatility brought about by changes in the prices of the two crude oils on the consumer sector returns.
Performance of Delta-Hedging Strategy on TQQQ Stock Options
Authors: Liu Jiahua
Published: December 2022

This paper studies the performance of the same incremental hedging strategy of stock options. Especially when the stock market fluctuates greatly, this delta hedging strategy can always ensure investors’ fund always keep in a relative safe level. Thus, it can help individuals and institutional investors to build their portfolios and choose hedging strategies. This paper use the data of ten options of TQQQ stock to calibrate the implied volatility of the stock. Then, by calculating the implied volatility, a hedge portfolio is formed, including a specific option unit of the company and the incremental shares of the underlying stock. Finally, this paper evaluate the performance of the hedged portfolio. The results show that, the hedging strategy of TQQQ stock option performs well. The results of this paper are helpful for individual and institutional investors to choose the most suitable hedging strategies according to the nature of the underlying assets.
Research on the Impact of COVID-19 on Professional Sports in China and Development Strategies
Authors: Li Jiaxuan
Published: December 2022

Since COVID-19 lasted for three years, it had a considerable impact on most industries, and the professional sports industry, where many people would gather, was inevitably among them. There was no uniform statement about the extent of its impact. Therefore, this paper explores the impact of the epidemic on professional sports in China and the future development strategies of professional sports by collecting data on the income of the professional sports industry before and after the epidemic and conducting a comparative analysis of the data and interviews with a portion of people with game watching habits. The two investigations show that the impact of COVID-19 on professional sports is significant. Therefore, it is recommended that professional sports games return to normal as soon as they are allowed and enhance the viewing experience both online and offline this is important to increase both revenue and spectator sentiment. This study objectively analyzes the impact of COVID-19 on professional sports in China, which facilitates the recognition that the current strategies made by the professional sports industry in response to the epidemic are inadequate and do not consider the economic pressure caused to teams as well as athletes.
Business Operation Model Analysis and optimization Path Research of Coffee Industry in China--Taking Starbucks and Rising as examples
Authors: Chen Haiye
Published: December 2022

Starbucks has been up against intense competition in the coffee business ever since Luckin Coffee, a quickly expanding coffee chain throughout China, entered the market. Luckin has quickly overtaken Starbucks, a premium brand in China, as a bargain competitor thanks to its speedy online ordering capabilities, prompt delivery, and readiness to offer discounts when shopping. Starbucks possesses, however, delicate decorated offline chain stores, which give customers a so-called loving and warming “third place” to work or study and offers many customized options to make clients’ favorite drinks. These components in Starbucks are something that Luckin cannot give to the crowd. People’s demands have been changing rapidly, so these companies need new strategies to adapt these adjustments to occupy a larger market share. This paper analyzes the business operation models and compares financial statements where necessary of these two companies to find the most optimum market strategies in the coffee industry, especially in China.
Research on the Online Marketing Strategy of ASOS’s Young Customer Market
Authors: Huang Xinzhou , YOU ALISSA TIANYI , Zhou Xingyu
Published: December 2022

In recent years, the rapid development of e-commerce has triggered new shopping demands. With the growth of e-commerce, online shopping has become the main way people choose. ASOS, a world-renowned online shopping brand, has achieved great success in this Internet era and e-commerce. In addition to its advantages of global distribution, wide variety, and low prices, it also uses magazines and various social media to promote the brand and make more people, especially the younger generation, familiar with it. However, as the industry leader, ASOS still has some problems. For example, there is no clothing area for children and the elderly, the target market range is not wide enough, etc. This report will study the background of the big time, the basic situation of ASOS and its marketing methods, and then propose corresponding solutions to the problems. Based on the analysis of the reasons why this brand is successful, then this paper can have a better understanding of studying millennials, online shopping, and e-commerce.
The Effectiveness Analysis and Strategy Exploration of Homestay Industry on Rural Revitalization of China
Authors: Xiong Yihan
Published: December 2022

The homestay industry has been developing rapidly in recent years. It has become the pillar industry of rural economics to some extent, and the concept of rural revitalization is becoming more and more popular in China. Therefore, it is necessary to fathom the current situations in the homestay industry and find problems and feasible refinements. This paper mainly adopts two research methods, interview and literature research. By reviewing findings and conclusions from the previous studies and interviewing homestay owners and employees, the author points out several problems of the existing homestay industry, including applying stale developing approaches mechanically, being incompatible with the local environment, and lacking in cooperation with local governments. Also, this article discusses the crux of these problems. It provides possible solutions to help homestay owners better attract target customers and expand the market. The expansion of the thriving homestay industry gives back incentives to the local economy.
Research on the Behavior Characteristics and Marketing Strategies of Generation Z Based on the Freshly-made Beverage Industry
Authors: Chen Ju’an
Published: December 2022

Since Chinese Generation Z is entering the workforce, their consumption power will increase dramatically in the future. For them, who have grown up in the freshly-made beverage culture and Internet culture, traditional freshly-made drink products and marketing strategies may not be as effective as they once were. Based on this background, this paper uses the Heth-Newman-Gross consumption value model and conducts a study through a questionnaire. Based on the findings, we propose suggestions for further consumer positioning, product development, and marketing in the freshly-made beverage industry. The paper also provides a direction for further research for readers who want to study the Chinese Generation Z. Further research could be conducted on the marketing of Gen Z products from a social media perspective or on the consumer behavior of Gen Z in the freshly-made beverage industry. It proposes suggestions and further research directions for practitioners in the freshly-made beverage industry and scholars of Generation Z.
Research on the Prediction of US House Prices Based on Machine Learning
Authors: He Yunling
Published: December 2022

With the increase in the standard, houses have become an indispensable part of people’s lives. However, purchasing houses needs to consider the prices. Therefore, this paper uses machine learning to predict US house prices. Based on the random forest and linear regression method used in this research. It is found that the use of the former has a good effect on predicting multivariate nonlinear relationships in house prices. After comparing the results of actual prices and predicting prices, residents can select different room structures by contrasting them with experimental types as the numerical results are basically accurate. This research provides theoretical value to the literature on housing price prediction and brings different enlightenment to policymakers, regulators, and investors. As a result, this research plays a key role in maintaining the order of the real estate market and helping people make good choices.
The Research on Dynamics in Phone Sales Marketing Campaign Based on Machine Learning
Authors: Lai Zhuoye
Published: December 2022

Phone market campaign is one of the selling methods that banks use to attract new term deposits. Identifying attributes of customers is essential to increase the successful rate of a phone marketing campaign. This paper uses a dataset from a Portuguese bank where various features and attributes of customers are summarized. Four methods are used to analyze this issue, firstly decision tree method, then random forest method, K nearest neighbor and lastly logistic regression. After evaluating and reviewing their confusion matrices and generated scores, the decision has been made to choose the model of random forest as it possesses the highest mean of all metrics of classification. In conclusion, the duration of contact, age, how many days have passed since last contact, the month of the contact, and the number of contacts on one customer are deemed as more important than other attributes under a random forest classifier. The findings of this paper implicates that the Portuguese bank needs to focus more of these attributes to obtain a sustainable development.
Pricing of Chooser Option Based on Black-Scholes Model: Case of AAPL Company
Authors: Peng Like
Published: December 2022

Financial derivatives traded in the markets are becoming more complex and investors' complicated situations also should be responsible for this trend. This study examines the Black-Scholes Model theoretically and practically. By using the information of AAPL company, the simulation of stock price is calculated with related parameter, in the comparison of the straddle, the chooser option has a relatively high potential profit. The paper also gives sensitivity analysis and the conclusion of variables, the result is that the volatility has the largest impact on the stock price, followed by maturity period and date chosen period. Finally, this paper introduces wider application scenarios of our study, it can be used to estimate whether the future is bullish or bearish to obtain higher returns, to predict stock volatility, and to evaluate the value of growing companies, which fill the vacancy in past researches of financial market and gives suggestions for investors.
A study on personal credit risk assessment model based on integrated learning
Authors: Dong Zhonghao
Published: December 2022

Financial risk control is an important means to control capital security. Under the background of market economy and inclusive finance, the demand for personal credit loans is increasing rapidly. Therefore, it is very important to control financial risks. However, in the financial field, due to the requirements of security, data is scarce and large-scale data cannot be obtained, so many researchers cannot carry out detailed data analysis and technical research, and can only carry out simple theoretical analysis. However, the current financial risk control mostly relies on manual operation, which is inefficient. In order to solve this problem, this paper firstly obtains a large number of personal credit loan information from foreign websites. Then, the feature engineering technology is used to clean the data. Finally, the data mining technology in the field of artificial intelligence is used for improvement, which greatly promotes the automation and intelligent process of financial risk control. In this paper, the data mining algorithm is used to classify the credit loan dataset. The results show that our model achieves good results and can effectively avoid nearly 70% default risk, and the time cost is very low.
Overconfidence can influence investor behaviours in China
Authors: Gao Guanhua(Edward)
Published: December 2022

Overconfidence is a common psychological condition defined as the irrational belief that one's chances of success are higher than they really are. The damage that overconfidence can do in the world of finance is even more glaring. Small and medium-sized investors lack the information collection, professional skills, and trend-following behaviour of large shareholders, firm management, and institutional investors. In China, the stock market is dominated by small and retail investors. They lack information and often make a decision based on the limited knowledge and information that they have. Still, owing to hubris, many small and medium-sized investors falsely assume that making money is simple or that they can consistently outperform the market as a whole. Small and medium-sized investors frequently trade to provide liquidity to the market, but their overconfidence often leads them to set unrealistically high-profit targets, incorrectly attribute gains to their operating skills, and fail to adequately account for losses as a result of events outside their control. Transaction costs can eat into earnings. Overconfidence among investors has been shown to increase market risk and volatility.