bluuebunny/crossref_metadata_2025 huggingface dataset:
New endovascular approaches in management of intracranial complex bifurcation aneurysms not amenable to simple coiling
Authors: El Tartoushy Medhat Ibrahim , Kamel Ayman Ismail , EL Fiki Ahmed Abdullah Soliman , Youssef Farouk Hassan
Published: May 2022

Background: Aneurysmal neck remodeling with stents has recently emerged as an effective treatment option. Flow-diverter devices (FDDs), Silk flow diverter stent, the Woven EndoBridge (WEB) have been proven to be a valuable tool in the endovascular treatment of wide-necked bifurcation aneurysms. Aim: The purpose of this study was to assess the efficacy, safety and durability of new endovascular approaches in management of intracranial complex bifurcation aneurysms. Subjects and Methods: Between October 2017 and august 2019, we performed 37 endovascular procedures for 32 patients having intracranial complex bifurcation aneurysms. The procedures were performed in the “Vascular and Interventional Unit” of the Radiology Department, in Kasr-Al Ainy Hospital, and Sheikh Zayed specialized Hospital. Results: One out of 30 patients (3.3%) had a procedural related complication, which was a femoral puncture and scrotal hematoma. Two days later this patient died from MI, and this was the only mortality in our study. Eight out of 30 patients (26.6 %) still experienced mild degrees of morbidity and neurological deficits related to the natural history of the SAH and unrelated to the procedures. One out of 10 patients (10%) treated by balloon assisted coiling showed neck recanalization at 6 months angiographic follow up.
study on impact of balanced scorecard perspectives on performance of it companies in Bengaluru City
Authors: Shalini S. , Venkatesh S.
Published: May 2022

Performance measurement through Balanced Scorecard is giving accurate information about strategies and goals of organizations that is linked with their overall performance. It is highly useful to assess the process of allocation of available and limited resources to decide ways to manage, distribute and utilize resources efficiently in different modes. The results reveal that significant difference exists amidst profile of employees and balanced scorecard perspectives in IT companies. Customer, financial, internal business process and learning and growth perspectives are impacting significantly and positively on performance of IT companies. So, IT companies should keep good employees with them and they must utilize their resources properly to improve their reputation and they should understand different customer segments clearly. Besides, they must support their customers in various ways and they should enhance success of business in multiple modes.
Assessment of knowledge, attitude and practice towards occupational health hazards and safety measures among health care personnel working in public health facilities of Bhubaneswar Block, India
Authors: Kumar Amit , Kumar Abhishek , Panigrahi Om Prakash
Published: May 2022

Background: Healthcare personnel (HCP) are working in an environment that is known to be one of the most hazardous settings to work in. Occupational diseases are often under-reported; there are many reasons for the gross under notification, one of the main reasons being they are usually less obvious than other occupational accidents and injuries. Aims: To assess the knowledge, attitude and practice of HCP regarding different aspects of occupational health hazard and to find out various correlates for their knowledge, attitude and practice regarding occupational hazards and safety measures. Methods and Material: It was a descriptive cross-sectional study which was undertaken in public health facilities of Bhubaneswar Block, Odisha. The study was conducted for a period of one year. One hundred seventy two health care providers (both medical and paramedical with a minimum experience of six months) were included. Statistical analysis used: Descriptive statistics were used and Pearson chi-square test as the test of significance; taking a p value of< 0.05 as statistically significant. Results: Mean age of the respondents is 38.44 years with a standard deviation of 12.8.
Evaluation of Endoglin (sEng)/CD105 level in women with polycystic ovary syndrome at Al-Najaf Province
Authors: Farman Hassan Ali , Abuhinna Karrar Abed
Published: May 2022

Endoglin (sEng)/CD105 is a transmembrane auxiliary receptor for transforming growth factor beta (TGF-b) it works as a non-signaling coreceptor of the TGF-b modulating its responses. The main finding of these study that, in obese groups (PCOS and control), there were higher values of TGF-b1 and the lower values of plasma sEng. Even more importantly.
Evaluation of DHEA level in serum of fertile and infertile women
Authors: Farman Hassan Ali , Hussien Hassan Kareem
Published: May 2022

The sulfation of the adrenal steroid dehydroepiandrosterone (DHEA) is a critical step in the provision of substrates for estrogen biosynthesis by the placenta during pregnancy.     Dehydroepinadrosterone (DHEA) supplementation improves pregnancy chances in women with diminished ovarian reserve (DOR), by possibly reducing aneuploidy. Defects in the synthesis of DHEA cause deficiencies in the synthesis of androgens and estrogens. In the first stage, mutations in the StAR gene cause potentially lethal lipoid CAH. Defects in the cholesterol side chain cleavage enzyme, the second step, are rare. Defects in the third stage, 17-hydroxylation lead to hypertension and female sexual infantilism. Defects in the final stage of DHEA synthesis, 17, 20 lyase activity, are due to disorders of electron transfer to P450c17, including mutations in POR
Adaptive priority-based sensors during the critical conditions in agriculture
Authors: Chidambaranathan C. M , Goswami Puneet
Published: May 2022

Monitoring and controlling the agriculture field is sometimes very difficult to farmers, especially during the natural calamities like flood, unexpected fire due to the excessive of methane, famine and etc. Though various smart technologies implemented in smart farming but still there are some issues occurs during the aforesaid critical conditions. In this paper, we propose to handle the critical condition by selecting the high priority nodes by using the modified Dijikstra algorithm. So the particular node only executed and maximum amount of energy will be consumed and also the priority based sensors will be activated during the critical conditions and transfer the real time data on time.
Analysis on ergonomic factors and workload of female civil government employees in the local government offices of Sorong
Authors: Talakua Febry , Etnis Baktianita Ratna , Nasedum Ivana Ribka , Bambungan Yulinda Margaret , Lerebulan Exaudian F.
Published: May 2022

Background: Based on the initial survey conducted by researchers, ergonomic problems were found in the female Civil Government Employees (Pegawai Negeri Sipil, PNS), including the fact that most female Civil Government Employees are old. Most female Civil Government Employees went to the office without having breakfast. The desks and chairs at work were not designed ergonomically. The work station was located in the fourth floor without an escalator, causing fatigue. The room temperature and lighting are unfitting. These problems are disadvantageous for their workloads. Objectives: The objective of this research is to find out the influence of ergonomic factors on female Civil Employees’ workloads in the Local Government Offices of Sorong City. Methods: The method applied in this research is the analytical survey with a cross-sectional design. The applied sampling method was random sampling stratification, with 104 samples. The data is collected using questionnaires. The data analysis includes univariate, bivariate, and multivariate, applying the Chi Square (X2) test and multivariate analysis with logistic regression. Research Results: The bivariate test result shows that workloads are influenced by the following factors: age (p=0.002), nutritional status (p=0.002), working behavior (p=0.003), tools layout (p=0.001), working environment (p=0.001).
Possibilities available for the prevention of hearing impairment
Authors: Abyss Kifah Dakel , Almudhafar Safaa M.
Published: May 2022

The individual can hear different sounds, and the hearing impairment ranges in severity from degrees Mild and moderate levels that result in hearing impairment, to very severe degrees that result in designed by her Causes of hearing impairment  Hereditary causes, familial ,acquired causes Causes during pregnancy causes  during childbirth Postpartum causes External ear strikes-auricle abnormalitie disappearance of the external auditory canal Congenital disappearance of the external auditory canal and its closure may be at any site from the channel Hearing impairment is classified into three axes, according to the age group: According to the hearing loss, according to the nature and location of the injury. Therefore, early diagnosis and early intervention lead to the best results, but what is better than early intervention is to follow the golden rule prevention is better than cure.” These are some examples that can help avoid the “occurrence of a disability.
Study of growth of filamentous micelles from mixture of folic acid and Znc nanoparticles
Authors: Latif Aisha Ahmed , Alwan Liqaa Hussein
Published: May 2022

The study looked at the effectiveness of a folic acid (B9) medication when combined with nano zinc. Through physical alterations with a surfactant that has the potential to produce thread-like micelles, it reinforced the immune system as well as anti-inflammatory characteristics for its medicinal properties. The viscosity value of a mixture of the surfactant Cetyl Trimethylammonium Bromide (CTAB) and B9 drug at different temperatures was studied, and it was discovered that the highest viscosity value was at 3% wt of CTAB and 0.02g of B9, which indicates the formation of thread-like micelles, and the results showed the effectiveness of the material because it works to connect the drug to multiple parts rather than collecting it in one place. The investigation also looked into the impact of the Nano zinc was tested at various concentrations (4×10-4, 8×10-4, 4×10-3, 8×10-3) and temperatures, with the results indicating that weight (8×10-3) is the best. Scanning electron microscopy (SEM) studies revealed the micelle and worm-like makeup of the mixture under investigation.
A noise removal methodology for effective ecg enhancement in heart disease prediction & analysis
Authors: Balasubramanian S. , Naruka Mahaveer Singh
Published: May 2022

An electrocardiogram (ECG) measures the electrical activity of the heart by placing various terminals on the body. The heart cannot pump blood properly due to electrical anomalies, resulting in insufficient blood supply to the body and brain. As a result, ECGs are vital in determining the condition of cardiovascular patients. An ECG signal may be debased by various clamours, for example, power line interference, standard meandering, anode contact disturbance, movement antiquities, muscle contraction, instrumentation noise caused by the electronic device, and so forth. So, to overcome such issues, this paper brings an effective proportionate linear Mean Square algorithm (PLMS) for its improved version of LMS and progresses the adaptive tracking phenomenon and provides superior performance. Using the proposed algorithm, the adaptive filter works more efficiently and consumes less power. As a result, the signal-to-noise ratio and MSE are high and hence computational complexity is greatly reduced. Therefore, it can effectively monitor patients with heart-related problems.
hepcidin gene polymorphism in patients with β -thalassemia
Authors: Jabbar Esraa Emad , Mahdi Wejdan Thamer
Published: May 2022

This study was conducted to study the hepcidin gene polymorphism and its effect in patients with β-thalassemia. Blood samples were collected from patients visiting (for the Center for Genetic Blood Diseases - Thalassemia) in Al-Diwaniyah for ages (15-35) for males. The results were as follows: The present study enrolled 50 patients with Thalasemia and 40 apparently healthy subjects. The mean age of patients was 39.31 ± 12.89 and that of control subjects was 28.74 ± 10.77 years and there was no significant difference between patients and control subjects in mean age (P = 0.277). Again, there was no significant difference in the frequency distribution of patients and control subjects according to age (P = 0.0125).  Patients’ group included < 20 years, n (%) in patients 17 (34.00 %), and in control 7 (20.00 %), whereas, 20-25 years, n (%) in patients 6 (12.00%) and in control 7 (20.00 %), whereas, 30-35 years, n (%) in patients 8 (16.00%) and in control 3 (8.57 %).
Impact of COVID-19 on women owned firms
Authors: Umamaheswari M. , Vasumathi R.
Published: May 2022

The simulations reveal that women-led businesses have been hardest hit by the COVID-19 pandemic. This research is therefore being conducted to assess the impact of COVID-19 on women-owned firms. Convenience sampling technique was used for primary data collection. Sample size was 100 women entrepreneurs in Cuddalore district. Data analysis was done through path analysis. It is discovered that the lockdown influences challenges during COVID-19 among women entrepreneurs. The analysis identified that the social distance influences challenges during COVID-19 among women entrepreneurs. The analysis found that the challenges during COVID-19 influences turnover intention. Hence, it is concluded that women entrepreneurs recover from COVID-19 thirst for subsidies in various taxes, fees, charges and all other levies.
Molecular genotyping of enterococcus faecalis isolated from clinical sources by BOX-PCR and ERIC-PCR
Authors: Hassoun Bashir H. , Mohammed Ghaidaa J.
Published: May 2022

Gram-positive bacteria, Enterococcus faecalis, cause serious nosocomial infections such as UTI, bloodstream infections, and endocarditis. The study's aimed  to isolate and identify Enterococcus faecalis from various clinical specimens in Al-Diwanyiah province hospitals ,testing the sensitivity of isolates to antibiotics  as well as to genotyping of E.faecalis  isolates by BOX –PCR or ERIC-PCR Analysis. The study extended from October 2021 to January 2022. Biochemical tests, Vitek 2 and 16S rRNA analysis identified 37 bacteria as Enterococcus faecalis. Five clusters (I-V) and about 13 polymorphic variants showed among 20 isolates by ERIC PCR. Whereas, four cluster (I-IV) and 14 polymorphic variants were showed by BOX PCR. The results showed that that there is a slight difference between ERIC and BOX-PCR analysis for Enterococcus faecalis isolated from clinical samples.
Pre and post changes of AI, IOT & cloud computing in financial services and banking sector during pandemic COVID-19
Authors: Priyadarshini Kodukula Venkata Lakshmi , Nath Aranya , Saha Usha , Saha Sonak , Chakravarty Gautami , Mukherjee Debarati
Published: May 2022

When the COVID-19 Pandemic hit our country in February, where southern parts of India came into contact with such a novel virus whose treatment revealed, our prime minister sanctioned a curfew on 24th March 2020 and declared a nationalize lockdown. As a result, our country's economic and financial growth came into a deep crisis. Therefore, Artificial Intelligence, cloud computing, and the Internet of things came into the picture to overcome such a crisis. Artificial Intelligence and IOT help reshape the traditional system of banking and financial institutions into technological advancement. We all know about the essential clouds in today's economy as it reaps a high value of security and confidentiality. To get benefits, the financial industry must incorporate cloud computing. Banks must exercise caution when entering the cloud computing sector because cloud computing will provide many advantages to banking companies. Although the financial industry's the using cloud computing seems to be helpful to the company and market, the financial sector must address difficulties such as privacy preservation, security, regulatory compliance, standard interoperability, and service quality. This paper highlights the benefits of AI, IOT during COVID-19 and the data privacy of cloud computing in the Banking Sector.
improved data hiding approach on color images using difference expansion algorithm
Authors: Anitha P. , Vallinayagi V.
Published: May 2022

Nowadays, the extra focus is compensated to safeguard information sending across network. To confirm protection of cover image, it is encoded and information hiding away is made in encrypted image. In incidental conditions, expect to apply color images as cover image and huge measure of information to hide away in image. In this paper, a clever lossless information concealing procedures produced for color images utilizing pixel assessment strategy and Difference Expansion Algorithm. The Pixel assessment characterizes, the most standard way to deal with gauge class districts from satellite-decided guides. It incorporates concluding the amount of pixels doled out to a specific effective class and expanding it by the pixel district. The information concealing strategy for double images using the weighting worth of Pixel Esteem Differencing. In this procedure, Pixel Estimation plot takes advantage of both the connection between the shading channel and the relationship between the contiguous pixels by assessing the innovative pixel values on shading channel contrasts. Then, at that point, each file esteem is assessed by utilizing the normal of its four point of reference neighbors.
comparative analysis of consensus algorithms in the health care sector using block chain technology
Authors: Kanagasankari S. , Vallinayagi V.
Published: May 2022

As Blockchain is a distributed digital ledger system, it focuses on various sectors such as bitcoin, the banking sector, the corporation sector, the real estate and the healthcare sector. Each block in the blockchain contains the hash value, timestamp and transaction data of their previous block. The consensus algorithms plays a major role in the blockchain framework. This consensus algorithm maintaining the safety and efficacy of blockchain.  The consensus protocols determines how the agreement to add the updated block to all nodes in the network works. Every consensus protocols has its own set of performance and scalability features. It is essential to technically compare each consensus mechanism by highlighting their strengths and weaknesses. Consensus algorithms in blockchain can be divided into two types. They are Proof based consensus and voting based consensus. The Proof based consensus shows that they are more qualified than others to do mining work. Voting-based consensus explains that nodes are needed in a blockchain network to exchange decisions for mining a new block or transaction before reaching a final conclusion. Their effectiveness can be enhanced by manipulating the suitable consensus algorithm in the blockchain. Blockchain technology is recently implement in many domains, especially for healthcare Industry.
Prediction of Parkinson’s disease using machine learning classification from voice analysis
Authors: Renuka D. Krithika , Rakshana S.
Published: May 2022

“PARKINSON SYNDROME PREDICTION BASED ON AUDIO MEASURES” is to analyze and find the prediction efficiency that would be beneficial for the patients who are suffering from Parkinson and the percentage ratio will be reduced. Generally, in the first stage Parkinson can be cured by the proper treatment. So, it is important to identify the PD at the early stage for the betterment of the patients. The main purpose of this project work is to find the best prediction model i.e., the best machine learning technique which will distinguishes the Parkinson’s patient from the healthy person. The techniques investigated are Random Forest, SVM, Logistic Regression and Adaptive Boosting.
Prediction of academic performance of students using machine learning
Authors: Preetha S. , Anitha D.
Published: May 2022

Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. It is the method of extracting patterns and drawing inferences from large and complex datasets. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. Educational Data Mining (EDM) refers to techniques, tools and research designed for automatically extracting meaning from large repositories of data generated by or related to people learning activities in educational system settings. One of the most important functions of EDM is to predict student performance based on past activity. This could include looking at past CGPA scores or internal assessments, student demography (income levels, school type etc.) or extracurricular activities.
Method development and validation for simultaneous estimation of aspirin, ramipril and atorvastatin by RP-HPLC method in its pure and tablet dosage form
Authors: Bindu M. Hima , Kumar G. Shiva
Published: May 2022

A simple, accurate, and precise method for estimating Aspirin, Atorvastatin, and Ramipril in Tablet dosage form was developed. Symmetry C18 (150 x 4.6 mm, 3.5) was used to run the chromatogram. At a flow rate of 1.0 ml/min, a mobile phase containing potassium dihydrogen ortho phosphate (pH adjusted to 3) and Methanol in the ratio 35:65 was pumped through the column. The temperature was kept at 30°C. The optimised wavelength chosen was 240.0 nm. Ramipril, Atorvastatin, and Aspirin had retention times of 1.803 minutes, 2.506 minutes, and 3.875 minutes, respectively. The percent RSD of Ramipril, Atorvastatin, and Aspirin were determined to be 0.99, 0.42, and 0.42, respectively. The method is linear for Ramipril concentrations ranging from 12.5 to 62.5 g/ml, Atorvastatin concentrations ranging from 160 to 800 g/ml, and Aspirin concentrations ranging from 5 to 25 g/ml. The method was accurate, with a percent recovery of 99.13 to 100 percent for Ramipril, 99.3 to 100.2 percent for Atorvastatin, and 99.3 to 100 percent for Ramipril, respectively. The developed method is robust after deliberate changes in flowrate and mobile phase composition with a percent RSD less than 2.
Study on classroom environment and achievement among rural school students
Authors: Indumathy T. , Annadurai R.
Published: May 2022

Academic institution  intended for the teaching of students under the direction of teachers. Most countries have systems of formal education, which is commonly compulsory and classroom management is related to all teachers actions aimed to establish the simulative learning environment.  Classroom environment systems are effective because they increase student success by creating an orderly learning environment that enhances students' academic skills and competencies, as well as their social and emotional development. In these systems, students progress through a series of schools. Among other factors, empirical evidence has confirmed that school climate is powerful in affecting students' academic achievement. However, the extent to which both of student and staff perceptions of school climate influence student achievement. Furthermore, the precise psychological processes underpinning the climate-achievement
Prediction of dengue using data mining classification algorithms
Authors: Chengathir Selvi M , Bhuvaneswari T , Maruthupandi J , Naga Priyadarsini R
Published: May 2022

Dengue is a life-threatening disease prevalent in several developed as well as developing countries like India. This is a virus born disease caused by breeding of Aedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease. Dengue disease has symptoms like: Fever Temperature, WBC, Platelets, Severe Headache, Vomiting, Metallic Taste, Joint Pain, Appetite, Diarrhea, Hematocrit, Hemoglobin, and how many days suffer in different city. The main objective of this paper is to classify dengue data and assist the users in extracting useful information from data and easily identify a suitable algorithm for accurate predictive model from it. The proposed system is to determine the prediction of dengue disease and their accuracy using classifications of different algorithms to find out the best performance. Data mining is a well-known technique used by health organizations for classification of diseases such as dengue, diabetes and cancer in bioinformatics research. IBM Watson Analytics is used to analyze the influence of different parameters on the given data set. In the proposed approach, R programming is to evaluate data and compare results.
Cloud computing, emerging computing technology of new age
Authors: Mishra Bibhu Kalyan , Hosur Ravi , Nandihal Priya , Pareek Piyush Kumar
Published: May 2022

Cloud computing is seen as an emerging technology highly utilized by different industries and businesses to optimize their processes conservation resources. Its popularity opens various loopholes and barriers, which are useful, especially when improving its overall performance. This study is conducted cloud computing further technological improvements suggested. This technology has been attractive developers and end-users because it provides both parties with an increased revenue opportunity. Entailed for and maintenance of physical hosting has been drastically eliminated from them for the end-user. Also true for the service providers since the increasing number integrating cloud computing to their systems increased revenue. However, the technology is facing challenges with security and privacy, workflow optimization, provisioning, cloud interoperability, data management, need or architecture modifications. These barriers inhibit cloud computing from achieving their maximum potential in terms of Service (QoS) and cost-effectiveness. Nevertheless, metrics monitored and measurements be done cloud computing's overall performance for of both the operation and economic aspects future studies is good & interesting.
OCR for Arabic character recognition with advanced principal component analysis based on feature extraction and fuzzy-KNN based classification
Authors: Ashiq V M , Fredrik E J Thomson
Published: May 2022

Offline character recognition has become a highly important study field for various pattern recognition applications in recent years. Several handwritten character recognition systems have been suggested, with the complexity of these systems varying depending on the recognizing units' writing styles. In reality, identifying letters or numerals is far simpler than recognizing cursive sentences or lines of text. As a result, early handwriting recognition algorithms could only distinguish a few characters with limited vocabularies. Nowadays Arabic handwritten character recognition is very important as it is very difficult to identify. The cursive writing and variety of styles make this recognition more complex. This paper presents an automated model for ACR. This ACR is constructed from four phases: Preprocessing, Segmentation, Feature Extraction, and Classification. In this research article, we compare the advanced EPSO EKNN Algorithm with the earlier DBN Algorithm and also suggest a new method having higher Accuracy. In this research article, the "Enhanced K-Nearest Neighbor" (EKNN) classification model was used to identify and classify or simply recognize the particular Arabic character, and the "Extended Particle Swarm Optimization" (EPSO) methodology was introduced to select the best feature from feature extraction to comply with Arabic-Character Classification.
quasi-experimental study on effect of ‘clutch hold’ method of breast feeding on comfort level of post cesarean mothers admitted in obstetrics units of Nehru Hospital, Pgimer, Chandigarh
Authors: Rajput Manju , Kumar Dinesh , Sharma Shivani , Aakansha Aakansha , Kniranda M. C.
Published: May 2022

Statement: A Quasi-Experimental Study on Effect of ‘Clutch Hold’ Method of Breast Feeding on ‘Comfort Level’ of Post Cesarean Mothers Admitted in Obstetrics Units of Nehru Hospital, PGIMER, Chandigarh. Objectives: Main Objective- To study the effect of ‘clutch hold’ method of breast feeding on comfort level of post caesarean mothers. Sub-objectives- 1) To select tool and use it to measure comfort level in caesarean mothers while breast feeding. 2) To develop protocol of clutch-hold method for breast feeding and use it among experimental study subjects. 3) To assess and compare the findings. Methodology: A quasi- experimental research approach was used with cross-over study design. Population was 76 cesarean mothers who met the inclusion criteria and were admitted in obstetrics unit of Nehru Hospital, PGIMER, UT, Chandigarh (India). Result: The present study revealed that that comfort level in post caesarean mothers while breast feeding is independent of methods of breast feeding as it is evident by ‘p’ value 0.122, i.e., ‘p’ value is not significant. Mothers who were exposed to ‘clutch-hold’ & ‘cradle-hold’ methods of breast feeding after caesarean section, experienced no significant difference on comfort level while breast feeding.
Evaluation of apelin level in women with polycystic ovary syndrome at Al-Najaf Province
Authors: Farman Hassan Ali , Abuhinna Karrar Abed
Published: May 2022

Hyperinsulinaemia is one of the most common clinical manifestations in women with PCOS. Here, hyperinsulinaemia may increase IGF- 1 expression and aggravate the effect of IGF1 by reducing the synthesis of IGF binding protein 1. IGF1 increases the expression of APLNR, and further promotes oestrogen synthesis and secretion via binding of APLN/APLNR. Patients with PCOS have high ovarian IGF1 levels. Therefore, IGF-1 and APLN may exhibit a compensatory increase in PCOS. Recently study found a high APLN/APLNR level in blood and ovary in PCOS (Liu et al., 2020). One of the first effects of APLN observed was its ability to lower glucose levels in both in fasting conditions and during a glucose tolerance test. Increased glucose uptake in target tissues such as skeletal muscle and adipose tissue was responsible for the decreased glycaemia (Yue et al., 2010).
Evaluation of monocyte chemotactic protein-1 level in serum of fertile and infertile women
Authors: Farman Hassan Ali , Hussien Hassan Kareem
Published: May 2022

Infertility is a disease of the reproductive system characterized by inability to achieve pregnancy after 12 or more months of regular unprotected sexual intercourse (Venkatesh et al., 2014). Female infertility, as a complex disorder, may be caused by medical conditions including pelvic inflammatory disease, endometriosis related infertility, ovulatory disorders, tubal factor infertility, and unexplained infertility(Gupta  et al., 2014). Infertility affect approximately nine to fifteen percent of the childbearing population, and 55% of these influenced will seek medical help to achieve their desire to have children (Boivin et al., 2011).
state of uric acid in Iraqi patients with Parkinson disease
Authors: Kamil Mohammad A. S.
Published: May 2022

Uric acid has recently been proposed as a possible cause of Parkinson's disease (PD). The researchers wanted to see how uric acid levels were in persons with Parkinson's disease compared to an age-matched healthy control group. Researchers employed a case control study and a random comparison of plasma uric acid concentrations of collected samples in a clinical neurology department ward at Baghdad education hospital/Medical City and a Parkinson's disease movement disorder clinic. Participants were enrolled in the study from October 2015 to October 2016. We looked examined blood Uric acid levels in 40 Parkinson's disease patients and 40 age-matched healthy controls after controlling for age, sex, race, and geographic location. The Most Important Outcome Measures: Suboptimal Uric acid concentrations have been seen in Parkinson's patients. The results indicated that patients with PD (65%) had lower uric acid levels than controls (22.5%), and that the mean uric acid concentration in PD was (3.24) considerably (P.05) lower than in controls (4.08). The study's findings show that PD patients had much lower uric acid levels than healthy controls. These findings suggest that uric acid may have a role in Parkinson's disease.
Oral health status of intellectually disabled individuals attending a special school in Vashi, Navi Mumbai
Authors: Deeksha Shetty , Ankit Shah , Londhe Pankaj C , Sukalkar Shrushti , Agre Bhagyashree , Kavle Pratibha Gopal
Published: May 2022

To determine the oral health status along with child’s access, provider’s attitude and parental knowledge towards oral care and barriers to dental care of Intellectually disabled  children. Aims: The aim  of this study is to determine the oral health status along with child’s access, provider’s attitude and parental knowledge towards oral health care and barriers to dental care of Intellectually disabled  individuals attending a school in Vashi, Navi Mumbai. Settings and Design:: The cross sectional study was conducted among individuals attending a center for differently abled in Vashi, Navi Mumbai. Methods and Material:To determine the oral health status along with child’s access, provider’s attitude and parental knowledge towards oral care and barriers to dental care of Intellectually disabled children attending a school in Vashi, Navi Mumbai. Results:Lack of importance of  oral health (78.9%),. finding an understanding  dentist (5.2%), lack of  dental care (84.4%),uncooperative child (8.2%), transportation (15.6% ) were the major barriers ,inability of the child  to express dental problems  and  lack of  oral health care  of primary dentition were other barriers  Conclusions: There is a need for strengthening oral care programs for the Intellectually disabled children.
study of the physical aggressive behaviors due to violent video games among early adolescents in Al-Mazar Al-Janobe District in the south of Jordan
Authors: Althnaibat Heba Adnan , Al-kubaisy Waqar , Alsaraireh Faris
Published: May 2022

Violent video games (VVGs) that have clearly emerged during the spread of the COVID-19 pandemic are the reason why early adolescents are exposed to physical aggression and physical violence. This is a problem and has consequences and damages to society as a whole. Therefore, parents and teachers should pay attention to solving this problem and addressing it, so we discussed this problem in our study. This research aims to study of the physical aggressive behaviors due to violent video games among early adolescents in Al-Mazar Al-Janobe district in the South of Jordan. The method that was followed in this study is a cross-sectional study conducted in the Al-Mazar Al-janobe district during the period from first May up to 1st August 2020 using a web-based questionnaire. The study sample consisted of (462) early adolescent pupils aged 10-13 years (boys and girls) from 61 primary schools (private and government). The results obtained were analyzed using SPSS version 21, descriptive and inferential statistics such as t-tests, chi-square, correlation and analysis of variance (ANOVA) were performed and α < 0.05 level of significance was considered.
Analytical method development and validation of allopurinol and related substances by using RP-HPLC in bulk form
Authors: Prasad P. Rajavenkata , Karunakar Dasa , Devi B. Rama
Published: May 2022

A new simple, rapid, specific, economical, precise and accurate method for the estimation of Allopurinol by using reverse phase high performance liquid chromatography (RP-HPLC), has been developed and validated according to the ICH guidelines. The seperation was achieved by the Kromasil 100-5,C18,250x 4.6mm and potassium dihydrogen orthophosphate and Methanol used as mobile phase, at a flow rate of 1 ml /min and the column temperature was 30°C. Detection was carried out at 220nm. Retention time of allopurinol was found to be 5.6 mins.The developed method was validated in terms of system suitability, selectivity, linearity, precision, accuracy, limits of detection and quantification for the impurities following the ICH guidelines. Linearity observed for the allopurinol is within the limits, % RSD for repeatability was found to 0.525 .The mean recovery was found to be within the limits 96.1-96.6%. Developed method was found to be simple, rapid, accurate, precise and specific for the estimation of allopurinolin pure and their Pharmaceutical dosage form.
spectrum of magnetic resonance imaging (MRI) patterns in hospitalised hypoxic ischemic encephalopathy babies in a tertiary care hospital of Odisha
Authors: Rout Rajesh Kumar , Rao B Maheswar , Rath Saroj Shekhar , Mahapatra Swapna , Mishra Shantisena
Published: May 2022

Background: Hypoxic ischemic encephalopathy (HIE) refers to the CNS dysfunction associated with Perinatal Asphyxia (PA) which is an important causes of permanent damage to CNS tissue. MRI imaging methods attributes to better understanding of pathological events and disease progression that may provide decision regarding intervention.  MRI has a higher sensitivity and is extremely valuable in assessing the extent of hypoxic-ischemic brain damage during the early postnatal period and later infancy. It is also more specific which clearly differentiates fluid filled cavities, oedema, gliosis and hemorrhage. On this background this study was undertaken to evaluate the MRI changes of all grades of HIE patients. They were also followed up at different time intervals for upto 1 year to correlate the MRI changes and neurodevelopmental outcome. Objectives: To find out different MRI findings in hypoxic ischemic encephalopathy babies. Assesment of severity of HIE from MR imaging and correlate these findings with clinical & neurodevelopmental outcome. Methods: All hemodynamically stable HIE babies irrespective of their severity were subjected to MRI between day 7 and day 21 of life and their findings were interpreted.
Detection of virulence genes and antimicrobial susceptibility of salmonella spp isolated from diarrheal human in wasit province, Iraq
Authors: Jassim Asaad Ali , Al-Gburi Nagham Mohammed
Published: May 2022

This study aimed to isolate Salmonella species from diarrheal human and to determine the antimicrobial susceptibility and virulence-associated genes. A total of 145 human stool samples were from  Wasit province, during the period from November 2018 to August 2019. The isolates were identified according to colony morphology, Gram stain, biochemical, Analytical profile index strip (Api-20E) and serotyping. The antimicrobial susceptibility test was done by utilizing the VITEK-2 Compact system and a disc diffusion method. Salmonella isolates were tested to detect six virulence genes, namely sefA, mgtC, sopB, spvR, Stn and invA by PCR technique. Results showed that Salmonella spp was isolated from 9 out of 145(6.2%), S. Typhimurium 55.55%, S. Typhi 33.33%, and S. Enteritidis 11%. The highest isolation rate of species was in the group aged between 3 to 15 years (10.34%). The gender distribution was 7.14% in males and 4.91% in females. August and March recorded the highest level of isolated Salmonella which was 11.76% and 10%, respectively. Multidrug Antibiotic Resistance Index (MARI) of S. Typhimurium, S. Enteritidis, and S. Typhi were 0.4-0.86, 0.57, and 0.62-0.71, respectively.
Selenium Nano-particles bio-synthesized by pathogenic bacteria having antibiofilm activity analysed by fluorescent microscopy and Molecular detection of antibiotic resistance genes
Authors: Hadi Soroor Mohammed , Aldujaili Nawfal Hussein
Published: May 2022

The purpose of this research was to study the biological activity of probiotic against MDR bacteria that isolated from diabetic foot infections. During the months of October 2020 to March 2021, a total of 65 specimens and investigations were collected. Specimens for diabetic foot infection were gathered from two hospitals in the province of AL-Najaf (AL-Sadder Medical City and AL-Hakeem Hospital). Swabs from diabetic foot infection patients were collected and sent to the lab, where they were streaked on MacConkey agar, a blood agar., around 40 (61.5%) exhibit positive bacterial growth culture, whereas 25 (38.5%) show negative findings for culturing. Negative growth might be due to other infection-causing agents such as anaerobic bacteria, fungi, and viruses  [1].  Gram-negative bacteria had a high rate of 42 (64.4%) based on morphological and biochemical tests, with B. cepacia having a high percentage of 14 (33.3%) and A. baumanni having a high percentage of 12 (28.7%). K. pneumonia has 7 (16.6%), E. cloacae has 6 (14.4%), and no growth in 3 (7%) as shown in figure (4-2).
Arthroscopic management of traumatic TFCC tears
Authors: Fetouh Sherif El-Sayed , Fadel Moheb El Deen Ahmed , Gharbo Nabil , Atef Moahmoud
Published: May 2022

Background: Triangular fibrocartilage complex is a critical component of wrist biomechanics, serving important functions in both load transmission and distal radioulnar joint stability. This work aimed to assess the clinical outcome of wrist arthroscopy in the management of triangular fibrocartilage traumatic tears as a diagnostic aid and definitive therapeutic tool in terms of functional restoration, and patients’ satisfaction. Methods: This prospective study included 27 patients diagnosed with TFCC tear. Patients were categorized in two groups: group I: had arthroscopic TFCC debridement for central tears and group II: had an arthroscopic assisted capsular TFCC repair. All patients were subjected to ulna carpal stress test, ballottement of the DRUJ, hand grip, evaluation scores [visual analogue scale, Mayo wrist score and patient-rated wrist evaluation score] and radiographic evaluation. Results: PRWE score was signifcantly improved in patients to whom TFCC debridement was done P <0.01. In patients to whom TC repair was done reported overall improvement of the PRWE score P < 0.02. Conclusions: The two patterns of tears included, and the short term follow up period, but has shown significant improvement following the arthroscopic intervention chosen for each pattern in a reproducible and predictable manner in the majority of our series.
Comparison between zinc oxide eucalyptus and zinc oxide eugenol root canal fillings microleakage
Authors: Zedan Hella Thamer , Jafar Zainab Juma
Published: May 2022

Variety of materials have been utilized. Zinc oxide eugenol was traditionally used to fill primary teeth root canals, but as attempt to conduct better material we used eucalyptus instead of eugenol to see whether it will be less microleakage than zinc oxide eugenol. Aim: The goal of this research was to assess the microleakage of zinc oxide eucalyptus and zinc oxide eugenol in circumstances that were as near to clinical as possible. A primary human deciduous teeth were extracted and stored in normal saline as to preserve the qualities of extracted teeth as possible. Methology: Hence numerous analyzing ways have been suggested accordingly. yet preceding studiers and researchers shown the effectiveness of Indian ink penetration for direct linear leakage scope (Gutmann JL,1993).so this procedure chosen (the Indian ink). Groups: The following groupings of specimens were created: 40 Extracted primary teeth were obturated with zinc oxide eugenol in one group and other 40 primary teeth were filled with zinc oxide eucalyptus. Analysis: by visualizing teeth after soaking into Indian Ink with microscope and measuring the microleakage by millimeter. Results: both material shown microleakage but ZOEUE was further more.
Yoga as a complementary therapy for obesity prevention in childhood and adolescent obesity
Authors: Pramanik Mou , Rajkumar N. C. Jesus
Published: May 2022

Background: Obesity is still one of the most serious health risks facing today's children and adolescents. Yoga has grown in popularity in the United States, and it appears to be a promising way to help adults with weight loss and management. However, research on yoga programmes aimed at weight loss in children or adolescents is limited. Objectives: The current study provided a systematic review of yoga-based interventions for weight loss in children and adolescents who were overweight or obese. Methods: The authors performed a systematic review of articles obtained from the databases Alt HealthWatch, CINAHL, SPORTDiscus, PubMed, and Web of Science. Inclusion criteria were studies that used yoga as a primary component, targeted overweight or obese children or adolescents, measured body weight or BMI as an outcome, used any type of study design, and were published in English-language peer-reviewed journals. Results: The inclusion criteria were met by nine studies in total. The majority of studies (n = 5) were conducted in the United States and implemented in schools (n = 5). Three of the studies examined were randomized controlled trials, and two had attrition rates approaching 50%.
Adverse effects of aspirin on hormonal and hastopathlogical changes in male rats
Authors: Naji Ibrahim Qahtan , Wadee Siham Agmee , Hameed Bader Katlan
Published: May 2022

Aspirin (Acetylsalicylic acid) is widely used in human and veterinary as anti-inflammatory cardiovascular prophylaxis, anti-clotting agent and to decrease cancer risk. However, it is frequently  mis- or over-consumed to prevent pain . Many hazards linked with its use have been recorded, but there is a lack of data on its effects on androgenic studies, testicular histology, kidney histology, liver histology, and reproductions.

We tried to gather information on its adverse toxicity effects on male rat reproductive in this research. According to research, aspirin has a fatal effect on sperm production and reproductive hormones, as well as lowering testicular weight and altering blood profile. Because aspirin is a prostaglandin inhibitor, it may have an effect on the male reproductive system. Aspirin's detrimental toxic character is further revealed by liver damage.
Issues of traditions and values in philosophy
Authors: Bakhti Ochilova
Published: May 2022

As far as the spirituality of a person is mixed with national values, the spiritual and social meaning of the essence of the national character acquires such a deep shade.
Prevalence of cardiovascular diseases among the urban and rural geriatric population of India
Authors: Nanda Himani , Shivgotra V. K. , Kumar Manjeet
Published: May 2022

Background: The geriatric population is defined as the population aged 60 years and above. Cardiovascular diseases are the most common diseases prevailing among the geriatric population of India. Cardiovascular diseases are the diseases involving heart and blood vessels. These diseases include hypertension, stroke, heart attack, heart failure, etc. Aim: The present study aimed at finding the pooled prevalence of cardiovascular diseases among the geriatric population of India by using meta-analysis. Materials and Methods: In this study, we have included various studies from different parts of India by searching databases like Google Scholar, Pub Med, etc. from the year 2003 to 2020. Meta-analysis was conducted using the random effect model in R software version 3.4.3. to compute the pooled prevalence of cardiovascular diseases among the geriatric population of India along with 95% confidence interval. Results: The prevalence of cardiovascular diseases among the geriatric Indian population included 5,426 study subjects from 20 studies in urban areas and 11,781 subjects from 29 studies conducted in rural areas of India respectively. The overall prevalence of cardiovascular diseases among geriatric population of India was 36.6% (95% CI: 31.9%-41.3%).