bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment and Monitoring of VIIRS-DNB and SQML-L light Pollution in Lahore-Pakistan
Authors: Nisar Hajra , Sarwar Faiza , Shirazi Safdar Ali , Amjad Dania , Aslam Rana Waqar
Published: October 2022

The usage of artificial light is excessive and improper. Earth's night picture has changed significantly from space and studies have shown that over-exposure to artificial light in the night can influence animals, the environment and human beings. The purpose of this study was to monitor and measure skylights of Lahore City and temporary light pollution from 2012-2019. The Suite-Day/Night band of the Visible Image Radiometer was used for time changes analysis with GIS and Remote Sensing tools. Indicators were established as a table tool through zonal statistics, and a field survey was also undertaken to measure the Sky-Glow of Lahore with Sky Quality Meter-L. The results suggest that from 2012 to 2019, light pollution rose by 23.43 percent. Results suggest that around 53.99% of Lahore suffered from light pollution. The number of lights in Lahore has increased by 161.82 percent between 2012 and 2019. In the study period, the mean night light and the standard night light deviation were 127.87 and 98.22 percent, respectively. Lahore's night sky was heavily polluted by light. Lahore's average skylight is 17.15 meters above sea level, which means low quality skies at night. This research aims to provide people an insight into light pollution and the causes of local light pollution. Furthermore, this study aims to enhance public attention to light pollution mitigation attempts by governments and politicians.
Performance Evaluation of Classification Algorithms for Intrusion Detection on NSL-KDD Using Rapid Miner
Authors: Malik Zoraez Ashfaq , Siddique Marriam , Paracha Zahir Javed , Imran Azhar , Yasin Amanullah , Butt Abdul Hameed
Published: October 2022

The rapid advancement of the internet and its exponentially increasing usage has also exposed it to several vulnerabilities. Consequently, it has become an extremely important that can prevent network security issues. One of the most commonly implemented solutions is Intrusion Detection System (IDS) that can detect unusual attacks and unauthorized access to a secured network. In the past, several machine learning algorithms have been evaluated on the KDD intrusion dataset. However, this paper focuses on the implementation of the four machine learning algorithms: KNN, Random Forest, gradient boosted tree and decision tree. The models are also implemented through the Auto Model feature to determine its convenience. The results show that Gradient Boosted trees have achieved the highest accuracy (99.42%) in comparison to random forest algorithm that achieved the lowest accuracy (93.63%).
Integration of Probability Based Ridge Variation Information with Local Ridge Orientation for Fingerprint Liveness Detection
Authors: Saeed Sania , Dawood Hassan , Mehboob Rubab , Dawood Hussain
Published: October 2022

Fingerprints are commonly used in biometric systems. However, the authentication of these systems became an open challenge because fingerprints can easily be fabricated. In this paper, a hybrid feature extraction approach named Integration of Probability Weighted Spatial Gradient with Ridge Orientation (IPWSGRo) has been proposed for fingerprint liveness detection. IPWSGRo integrates intensity variation and local ridge orientation information. Intensity variation is computed by using probability-weighted moments (PWM) and second order directional derivative filter. Moreover, the ridge orientation is estimated using rotation invariant Local Phase Quantization (LPQri) by retaining only the significant frequency components. These two feature vectors are quantized into predefined intervals to plot a 2-D histogram. The support vector machine classifier (SVM) is then used to determine the validity of fingerprints as either live or spoof. Results are obtained by applying the proposed technique on three standard databases of LivDet competition 2011, 2013, and 2015. Experimental results indicate that the proposed method is able to reduce the average classification error rates (ACER) to 5.7, 2.1, and 5.17% on LivDet2011, 2013, and 2015, respectively.
Health Consultant Bot: Primary Health Care Monitoring Chatbot for Disease Prediction
Authors: Rehman Asad Ur , Liaqat Madiha , Javeed Ali , Hassan Farman
Published: October 2022

This research paper presents a disease prediction chatbot that is intelligent enough to communicate with patients to predict their disease by detecting their symptoms through natural language processing. This system allows the user to describe their medical health condition in natural language, and by processing their natural language-based statement, our system detects the symptoms, predicts the disease, and provides basic precautions as well as a brief introduction about the disease. We have used IBM Watson Assistant to build this system. Watson assistant provides several machine learning algorithms to process user statements and symptoms extraction. In our system, symptoms were mapped by considering the community data which resulted in a predicted disease. Our system provides the relevant information about the predicted disease from the system's database. In an experimental evaluation, we carried out a study having 156 subjects, who interact with the system in a daily use scenario. Results show the effectiveness and accuracy of our system to support the patient in taking good care of their health.
Salinity and Fertility Status of Irrigated soils in District Nankana Sahib, Punjab Pakistan
Authors: Akram Fareeha , Fatimah Tahsin , Jamal Tabasum , Saleem Dr. Muhammad Usman , Javed M. Hafeez , Sharif Sana , Yousaf Kiran , Khan Naveed Iqbal , Karamat Awais
Published: October 2022

The soil is the basic medium for growth of plant as it supplies essential nutrients and water required for plant processes. The productivity of crop is highly dependent upon fertility and salinity of soil. Current study was carried out to explore and analyze the soils of Tehsil Nankana Sahib (Nankana, Shahkot, Sangilla) for its salinity, sodicity and fertility status at union council level from 2018-2021. A total 2030 soil samples were collected from three Tehsils of District Nankana Sahib, Punjab, Pakistan. The results indicated that the soil salinity status about 33.9% (690 samples) soils were non-saline, 23.6% (480 samples) saline sodic, 28.5% (580 samples) sodic and only 13.8% (280 samples) were saline. Maximum problematic soil was found in tehsil Nankana Sahib while minimum in Sangilla. As for the soil fertility status of District Nankana Sahib is concerned, 60.1% soils were poor in organic matter (OM) that was observed in 1220 samples, and 39.1% medium range organic matter was observed from the 794 samples while 7.8% from the only 160 samples that were approaching the adequate range. The available phosphorus in soils was found poor among 26.1% (530 samples), 56.1% medium (1140 samples) and the adequate range of available phosphorus was 17.7% (360 samples).
The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python
Authors: Munawar Kashif , Naveed Muhammad Shumail
Published: October 2022

Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python's syntax is less complex than Java's, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages.
Double Auction used Artificial Neural Network in Cloud Computing
Authors: Abbas Muhammad Adeel , Iqbal Zeshan
Published: October 2022

Double auction (DA) algorithm is widely used for trading systems in cloud computing. Distinct buyers request different attributes for virtual machines. On the other hand, different sellers offer several types of virtual machines according to their correspondence bids. In DA, getting multiple equilibrium prices from distinct cloud providers is a difficult task, and one of the major problems is bidding prices for virtual machines, so we cannot make decisions with inconsistent data. To solve this problem, we need to find the best machine learning algorithm that anticipates the bid cost for virtual machines. Analyzing the performance of DA algorithm with machine learning algorithms is to predict the bidding price for both buyers and sellers. Therefore, we have implemented several machine learning algorithms and observed their performance on the bases of accuracy, such as linear regression (83%), decision tree regressor (77%), random forest (82%), gradient boosting (81%), and support vector regressor (90%). In the end, we observed that the Artificial Neural Network (ANN) provided an astonishing result. ANN has provided 97% accuracy in predicting bidding prices in DA compared to all other learning algorithms. It reduced the wastage of resources (VMs attributes) and soared both users' profits (buyers & sellers). Different types of models were analyzed on the bases of individual parameters such as accuracy. In the end, we found that ANN is effective and valuable for bidding prices for both users.
What have you read? based Multi-Document Summarization
Authors: Irum Sabina , Nasir Jamal Abdul , Jalil Zakia Jalil
Published: October 2022

Due to the tremendous amount of data available today, extracting essential information from such a large volume of data is quite tough. Particularly in the case of text documents, which need a significant amount of time from the user to read the material and extract useful information. The major problem is identifying the user's relevant documents, removing the most significant pieces of information, determining document relevancy, excluding extraneous information, reducing details, and generating a compact, consistent report. For all these issues, we proposed a novel technique that solves the problem of extracting important information from a huge amount of text data and using previously read documents to generate summaries of new documents. Our technique is more focused on extracting topics (also known as topic signatures) from the previously read documents and then selecting the sentences that are more relevant to these topics based on update summary generation. Besides this, the concept of overlapping value is used that digs out the meaningful words and word similarities. Another thing that makes our work better is the Dice Coefficient which measures the intersection of words between document sets and helps to eliminate redundancy. The summary generated is based on more diverse and highly representative sentences with an average length. Empirically, we have observed that our proposed novel technique performed better with baseline competitors on the real-world TAC2008 dataset.
Charging Stations Distribution Optimization using Drones Fleet for Disaster Prone Areas
Authors: Hassan Zohaib , Shah Irtiza Ali , Rana Ahsan Sarwar
Published: October 2022

A disaster is an unforeseen calamity that causes damage to property or brings about a loss of human life. Quick response and rapid distribution of vital relief items into the affected region could save precious lives. In this regard, disaster management comes into play, which is highly dependent on the topography of the disaster-hit area. If the disaster-hit area has little or no road connectivity, the use of drones in such areas becomes essential for the delivery of health packages. Since the battery capacity of the drone is limited, there is a need of charging stations that should be transported using road infrastructure and pre-installed in disaster-prone areas, as access to these areas may be denied once the disaster hits. In this article, a simulation model was used to optimize the number and location of drone charging stations for deployment in a disaster-prone area in the pre-disaster scenario, aiming at the distribution of relief items to disaster-hit areas in the post-disaster scenario. We consider the relative priority of locations where a preference is given to the locations that have higher priority levels. An optimal number of charging stations and optimal routes have also been determined by using our optimization model. To illustrate the use of our model, numerical examples have been simulated for different sizes of the disaster-hit area and the number of targets. In our numerical simulation, it was observed that the drone's maximum distance capacity is the key factor in determining the optimal grid size, which directly correlates to the number of charging stations.
Trauma, Helplessness, and Quality of Life among Arthritis Patients Moderated by Perceived Social Support
Authors: Naz Irum , Sehrish Ms.
Published: October 2022

The study explores trauma and helplessness to explore quality of life among arthritis patients moderated by perceived social support. It was a cross-sectional study conducted at different hospital communities in district Gujrat. The purposive sampling technique was used to select 385 participants. The instruments used were demographic form, Post-Traumatic stress disorder scale, arthritis helplessness index, world Health 'sQuality of Life scale, and multidimensional Social support scale. For the Analysis of the data, multiple regression and structure equation modeling hasused. The result has confirmed [R²=.676 F (1, 383) = 106.7, p<.01] that trauma, helplessness, and social support was the predictor of Quality of life with 45.7% variance. The .E.M.S.E.M. model has significantly established the relationship among variables. The CMIN/DF was 2.10, a value less than three indicate the best-fitted model..The value of G.F.I., A.G.F.I., and CFI, are 0.957, 0.932, and 0.945, respectivelyThis shows that the Model is best fitted if this value is greater than 0.90. The regression estimates of trauma predicting social support were 0.083(P=.043), and helplessness was 0.229 (P=0.000). It established the fact that a one-unit increase in trauma will lead to an increase in social support by 0.083 and helplessness by 0.229. The regression estimates of Quality of life predicting helplessness -0.003 (P= 0.765), which indicates a non-significant inverse relationship . The regression estimates of Quality of life predicting social support and trauma were 0.052 (P=0.000) and -0.01(P=0.780), respectively. It established the fact that Quality of life determines social support by 0.052, whereas trauma was inversely non-significant.
Mindfulness Based Intervention for 21-Year-Old with Substance Use
Authors: Sohail Sadia , Sadaf Anila
Published: October 2022

Substance Use Disorders (SUDs) are a global psychiatric problem associated with a high mortality and morbidity rate. Consequently, contemporary advances in addiction have generated the potential for assessing the efficacy of Mindfulness Based Interventions (MBIs) for treating those with SUDs and their Relapse Prevention. The current case study focuses on a 21-year-old married man referred with the presenting complaints of intake and withdrawal of Heroin. His symptoms fulfilled the criteria of Heroin Withdrawal Disorder and he is currently in a controlled environment. The assessment was carried out through a clinical interview with the client, behavioral observation, Mental Status Examination (MSE) and the subjective rating of symptoms. Formal assessments were also carried out. The management plan was devised to build and maintain an excellent therapeutic alliance. The psychotherapeutic intervention was applied, primarily focusing on the use of MBI that improved symptoms.
Psycho-Social and Morbidity of Substance Use Disorder in Women
Authors: Iftikhar Mariyam , Riaz Dr Saima
Published: October 2022

Substance abuse disorder is a major and worldwide concern that cursed countries and mankind. Psychosocial factors influences differ across the person and may contribute to the development of physical and mental disorders. The research aimed to investigate the impact of psychological factors (Self-esteem, Depression, Anxiety, and Decision-Making Confidence) and social factors (Childhood Problems, Hostility, Risk-taking, and Social Conformity) that predictors of substance use disorder in women. en cross-sectional survey design was used in this study. Drug Abuse Screaming Test (DAST) and psychosocial functioning scale were used to collect data on women (N=200). The purposive sampling technique was employed for sample selection; moreover, the snowball technique was also used as the drug-addicted women recommended the other women. Results of the study ravels that psychosocial factors were a significant predictor of substance use disorder in women. The finding of the multiple regression analysis reveals that psychosocial factors were significant predictors of substance use disorder in women [R2 =.46, F (1,142)14.26, p<.01]. In conclusion, this study highlights some psychological (Self-esteem, Anxiety, Decision-making confidence) and social factors (Childhood problems, Risk-taking, and social conformity) that are valuable predictors of substance use disorder in women. These findings may help clinicians to develop treatment and policy guidelines for the prevention of drug addiction in women.
Hyperglycemia Downregulates Total Lipoprotein Lipase Activity in Humans.
Authors: Kovář J , Fejfarová V , Pelikánová T , Poledne R
Published: October 2022

To address the question whether an increase in insulinemia and/or glycemia affects the total activity of lipoprotein lipase (LPL) in circulation, the enzyme activity was measured after periods of hyperinsulinemia (HI), hyperglycemia (HG), and combined hyperinsulinemia and hyperglycemia (HIHG) induced by euglycemic hyperglycemic clamp, hyperglycemic clamp with the infusion of somatostatin to inhibit endogenous insulin secretion, and hyperglycemic clamp, respectively. The results obtained were compared to those after saline infusion (C). Twelve healthy normolipidemic and non-obese men with normal glucose tolerance were included in the study. At the end of each clamp study, LPL activity was determined first in vivo using an intravenous fat tolerance test and then in vitro in postheparin plasma. Whereas isolated HI had no effect on LPL activity in postheparin plasma, both HG and HIHG reduced LPL activity to 60 % and 56 % of that observed after saline infusion. Similarly, the k2 rate constant determined in intravenous fat tolerance test was reduced to 95 %, 84 %, and 54 % after periods of HI, HG, and HIHG, respectively. The activity of hepatic lipase, another lipase involved in lipoprotein metabolism, was not affected by hyperinsulinemia and/or hyperglycemia. In conclusion, our data suggest that hyperglycemia per se can downregulate the total LPL activity in circulation.
Lipoprotein(a) and Calcific Aortic Valve Stenosis
Authors: Kosmas Constantine E. , Silverio Delia , Sourlas Andreas , Campos Frederick N. , Montan Peter D. , Guzman Eliscer
Published: October 2022

Calcific aortic valve stenosis is the most common valve disease in the elderly population and is associated with significant morbidity and mortality. This condition is characterised by gradual fibrosis, thickening, and calcification of the affected leaflets, leading to decreased leaflet mobility and increased obstruction of the blood flow from the left ventricle. Lipoprotein(a) [Lp(a)] is a complex polymorphic lipoprotein with proatherogenic, proinflammatory, and prothrombotic properties. Several epidemiologic and clinical studies have described elevated Lp(a) levels as an independent causative risk factor for cardiovascular disease, including coronary artery disease, stroke, peripheral artery disease, heart failure, and venous thromboembolism. On the other hand, several studies have also described Lp(a) as a strong genetic causative risk factor for aortic valve calcification and aortic valve stenosis. In this review, the authors present and discuss the scientific and clinical evidence pertaining to the role of Lp(a) in calcific aortic valve stenosis.

INTRODUCTIO
Effect of the Succinic Salt of Diethylethanolamine Fumar Ester on Cognitive Functions of Laboratory Animals
Authors: Bolotova V. Ts. , Titovich I. A. , Shustov E. B.
Published: October 2022

The effect of succinic salt of diethylethanolamine fumaric ester on the cognitive abilities of male CBA mice and outbred male rats was studied. It was found that the test substance at doses of 10 and 75 mg/kg in the “Extrapolation escape task” test has a positive effect on the short-term and long-term memory of animals, contributing to the preservation and reproduction of the information received. In the “T-maze” test, the succinic salt of diethylethanolamine fumaric ester in both doses was superior, and in the “Extrapolation escape task” test, it had a comparable effect with the reference drug piracetam (dose 900 mg/kg).
Exogenous RNAs as Potential Pharmacological Agents
Authors: Okovitiy S. V. , Shustov E. B.
Published: October 2022

Exogenous RNAs alter interspecifically the transmission of signals in organisms by regulating the expression of their genes. This process leads to phenotypic cellular changes, thus representing a possible new tactic for the treatment of various diseases. Exogenous RNAs are a promising approach to the creation of a fundamentally new class of drugs or biologically active additives (for plant exogenous RNAs) with a promising pharmacological activity and minimal side effects.
Adaptogenic and Neuroprotective Properties of Lithium Ascorbate
Authors: Ostrenko K. S. , Gromova O. A. , Rastashansky V. V.
Published: October 2022

In this work, we study the neuroprotective properties of lithium ascorbate in in vivo and in vitro stress models. Neurocytological and behavioral studies were carried out on models of stress in both a culture of nerve cells and experimental animals. The studied drug showed a significant neuroprotective effect of lithium ascorbate in neuronal cultures exposed to glutamate toxicity and an adaptogenic effect in stress models in rats. The results suggest that lithium ascorbate possess a high neuroprotective potential in stress models in vivo and in vitro.
COVID-19 Convalescents Exhibit Humoral Immunity to SARS-COV-2 Envelope (E) Protein
Authors: Orlova E. A. , Kondratov I. G. , Ogarkov O. B.
Published: October 2022

In this work, we obtain a producer of the recombinant SARS-CoV-2 E protein and develop a system for its expression and purification in a soluble form. ELISA confirmed its antigenic properties. In COVID-19 convalescents, the level of IgG against the E protein was significantly increased in comparison with the control group of patients.
Application of an Allosteric Agonist of the Luteinizing Hormone Receptor for Reducing the Effective Dose of Gonadotropin in the Treatment of Androgen Deficiency in Rats with Type 1 Diabetes
Authors: Bakhtyukov A. A. , Derkach K. V. , Sorokoumov V. N. , Shpakov A. O.
Published: October 2022

In type 1 diabetes mellitus, the impaired testosterone synthesis in the testes leads to androgen deficiency. The long-term application of high gonadotropin doses for its correction decreases the sensitivity of luteinizing hormone/human chorionic gonadotropin (LH/hCG) receptors in Leydig cells to the endogenous gonadotropins. The aim of this work was to study the effect of a 3-day treatment of male Wistar rats with streptozotocin type 1 diabetes with the 5-amino-N-tert-butyl-2-(methylsulfanyl)-4-(3-(nicotinamido) phenyl)thieno[2,3-d]pyrimidine-6-carboxamide allosteric LH/hCG receptor agonist (TP03, 15 mg/kg/day) on steroidogenic effects of a relatively low-dose hCG (10 IU/rat, single dose, s.c.). Pretreatment of diabetic rats with TP03 enhanced the stimulatory effect of hCG on testosterone levels, slightly modifying its effects on the expression of steroidogenic proteins (Star, Cyp11a1, Cyp17a1) and LH/hCG receptor (Lhr) genes. Thus, in type 1 diabetes, TP03 increases the steroidogenic effect of low-dose hCG, at the same time as maintaining its effect on the gene expression of LH/hCG receptor and steroidogenesis enzymes in the testes.
Antimicrobial Peptides Based on Bacterial S1 Protein Sequences as a Potential Alternative to Antibiotics
Authors: Galzitskaya O. V. , Machulin A. V. , Deryusheva E. I. , Glyakina A. V. , Grishin S. Yu. , Kurpe S. R. , Panfilov A. V. , Domnin P. A. , Kravchenko S. V. , Ermolaeva S. A.
Published: October 2022

An original approach to the development of antimicrobial peptides (AMPs) with a new mechanism of action based on directed coaggregation of a peptide with a target protein is proposed. The unique multifunctional bacterial ribosomal protein S1 was chosen as the target protein. The amyloidogenic and antibacterial effects of various peptides synthesized on the basis of S1 ribosomal protein sequences were studied. The results obtained can serve as a basis for the creation of new AMPs against various strains of pathogenic organisms.
Proinsulin C-peptide Improves metabolic and Hormonal Parameters in Rats with Type 2 Diabetes Mellitus Having Normal but not Elevated Insulin Levels
Authors: Derkach K. V. , Bondareva V. M. , Basova N. E. , Shpakov A. O.
Published: October 2022

In type 2 diabetes mellitus (DM2), the impaired functions of the brain insulin system are associated with the weakened insulin transport through the blood-brain barrier due to insulin resistance. Insulin deficiency in the brain can be corrected by intranasal administration of insulin (II), whose effect may be enhanced by intranasal administration of C-peptide (ICP). In this work, we study the effect of treating hyperinsulinemic and normoinsulinemic DM2 rats with ICP (36 µg/rat/day), II (20 µg/rat/day) and ICP+II on metabolic and hormonal parameters. In normoinsulinemic DM2, ICP attenuated thyroid hormone deficiency and enhanced the restorative effects of II on glucose, insulin, and leptin sensitivity. In hyperinsulinemic DM2, ICP was ineffective, and its combination with II weakened the restorative effects of II. Thus, ICP and its combination with II are effective in restoring metabolic and hormonal parameters in normoinsulinemic, but not hyperinsulinemic, DM2.
Experiment investigation on flow characteristics in a high speed rotor-stator cavity with axial air inflow
Authors:   Northwestern Polytechnical University, Chang Ran , Liu Gaowen ,   Northwestern Polytechnical University, Zha TianHeng ,   Northwestern Polytechnical University, Feng Qing ,   Northwestern Polytechnical University
Published: October 2022

Targeting the flow characteristics for the aircraft engine turbine rotor-stator cavity，a high speed rotor-stator cavity with axial throughflow was investigated experimentally. The influences of rotation speed and inlet mass flow on pressure characteristics, windage heating and swirl characteristics were studied mainly at different rotational speed ranges from 0 to 9000rpm and different mass flow rate ranges from 0.05kg/s to 0.15kg/s. An experiment technique that relative temperature was obtained by measuring absolute parameters in stator was tested as well. The experiment results show that rotational speed and inlet mass flow are main parameters which determine flow characteristics in rotor-stator cavity. The effect of centrifugal boosting, windage heating, and swirl characteristics rise with the increase of rotational speed. The maximum value of centrifugal boosting is 1kpa, windage heating is 26K, and swirl ratio is 0.36. Increasing rotational speed will lead to the opposite effect. When air flow is in state of heat balance, relative total temperature and adiabatic temperature can be obtained by measuring absolute temperature and swirl ratio at same radius. The maximum deviation is below 1K.
Calculation Model of Rotating Orifices Discharge Coefficient Considering the Influence of Internal and External Crossflows
Authors:   buaa.edu.cn, Wang Jie , Qiu Tian ,   buaa.edu.cn
Published: October 2022

In order to improve the calculation accuracy and efficiency of the one-dimensional model for a secondary air system, and meet the requirements of accurately calculating the discharge coefficient of the rotating orifice under various conditions, the calculation model of discharge coefficient for the rotating orifice was developed using VB.NET, based on existing experimental results and empirical relationships of the published literature. A variety of influencing factors have been considered in the model, including the influence of crossflows upstream and downstream of the orifice, and the accuracy of the model was verified by comparing the experimental data. The results show that the calculation error under various complicated conditions is about 6% on average. A wide range of parameters affecting the orifice discharge coefficient have been covered by the model with a high calculation accuracy, which basically meets the requirements of engineering design. Therefore, it can be used as a general model of rotating orifices for one-dimensional simulation of the secondary air system.
Effects of Anticlockwise Swirling Inflow on the Aerothermal Performance of the Turbine Vane Endwall with Film Cooling Layouts
Authors:   Xi’an Jiaotong University, Institute of Turbomachinery, LI Zhiyu , ZHANG Kaiyuan ,   Xi’an Jiaotong University, Institute of Turbomachinery, LI Zhigang ,   Xi’an Jiaotong University, Institute of Turbomachinery, LI* Jun ,   Xi’an Jiaotong University, Institute of Turbomachinery, SONG Liming ,   Xi’an Jiaotong University, Institute of Turbomachinery
Published: October 2022

The large swirling flow downstream the lean burn premix combustor significantly impacts on the aerothermal performance of the first stage turbine vane endwall. The effects of the anticlockwise swirling inflow on the aerothermal performance of the turbine vane endwall with film cooling layouts was numerically investigated using three-dimensional Reynolds-Averaged Navier-Stokes (RANS) and SST turbulence model. The heat transfer characteristics and film cooling effectiveness of the turbine vane endwall with three rows film holes along the axial direction at three kinds of inlet swirl number 0.6, 0.8 and 1.0 was analyzed and compared. The obtained results show that the anticlockwise swirling inflow leads to the horseshoe vortex of the vane endwall migrate to the downstream and generate the recirculation vortex of the mainstream by comparison to the uniform inflow condition. The anticlockwise swirling inflow changes the Nusselt number distribution of the vane endwall and results in the high heat transfer coefficients regions. The high heat transfer regions at the vane endwall increases with the swirling inflow strength increases. The anticlockwise swirling inflow enhances the Nu downstream the first row film holes at the x/Cax=0.31 and suppresses the coverage of the coolant jet from the film holes migration to the suction side. Comparison to the uniform flow condition, the averaged film cooling effectiveness of the first row film holes increases up to 27% and the third film holes decreases about 9%.
Comprehensive Calculation And Performance Analysis Of Gas Turbine Reversible Power Turbine
Authors:   College of Power and Energy Engineering, Harbin Engineering University, Zhao Tianxiao , Wang Guojie ,   AVIC Commercial Aero Engine Co. Ltd, Yan Rui ,   College of Power and Energy Engineering, Harbin Engineering University, Gao* Jie ,   College of Power and Energy Engineering, Harbin Engineering University
Published: October 2022

Gas turbine technology trends to be maturing now, but the problem of which not being able to reverse directly remains resolve. In the field of marine, most ships reverse by adjustable pitch propellers, which limit turbine power and increases navigational resistance and maintenance costs. This paper designs a directly reversible turbine – based on a four-stage turbine, which is added a single-stage turbine to achieve the goal of direct reverse for the turbine. The reversible turbine is external to the four-stage turbine, and they share a turbine shaft to work. The rotor of the reversible turbine is connected with the last stage rotor of the four-stage turbine, and the double-layer blade is formed by the intermediate ring. The upper and lower parts of the double-layer blade have opposite profile shape, which allows the redesigned turbine to rotate positively and reversely. This paper uses CFD software to simulate the work conditions of the reversible turbine. The flow loss in the internal flow field of the redesigned turbine and the four-stage was analyzed in this paper, and find that the flow separation is the main factor to reduce efficiency of the reversible turbine.
Simultaneous Measurements of Velocity and Concentration Fields in An Inclined Jet in Crossflow
Authors:   School of Mechanical Engineering, Shanghai Jiao Tong University, Zhang Xu , Zhao Shengwei ,   School of Mechanical Engineering, Shanghai Jiao Tong University, He Chuangxin ,   School of Mechanical Engineering, Shanghai Jiao Tong University, Liu Yingzheng ,   School of Mechanical Engineering, Shanghai Jiao Tong University, Zhou Wenwu ,   School of Mechanical Engineering, Shanghai Jiao Tong University
Published: October 2022

Jet in crossflow (JICF) is a sophisticated phenomenon that commonly exists in many industrial applications such as gas turbine combustors and film cooling. Interaction and mixing between the jet and the crossflow are especially concerned in corresponding designs and hence need to be investigated and understood to improve the design efficiency. In this paper, simultaneous PIV (particle-image-velocimetry) and PLIF (planar laser-induced fluorescence) measurements were conducted in a water tunnel to study the velocity and concentration fields of an inclined JICF. Three jet-to-crossflow velocity ratios were studied and compared (R_ _= 0.4, 0.8 and 1.2). Turbulent normal stresses <_u_’u_’>_, <_v_’v_’>_ _and turbulent shear stress <_u_’v_’>_ _were presented and discussed. Proper orthogonal decomposition (POD) was used to analyze the simultaneous velocity and concentration fields and revealed a certain degree of similarity between the concentration and the wall-normal component of velocity. Turbulent scalar fluxes <_u_’C_’>_ _and <_v_’C_’>_ _were obtained and their features in the windward shear layer were discussed and interpreted. This paper provides experimental data of simultaneous velocity and concentration fields in an inclined JICF and helps to deeper understand the interaction and mixing process, thus might be instructive in relevant applications.
Performance Impact of Uncertain Variations of Inlet Flow for Axial Compressor Blades
Authors:   Zhejiang University, Chen Zeshuai , Luo Jiaqi ,   Zhejiang University, Zhu Yalu ,   Zhejiang University, Xia Zhiheng ,   China Aerodynamics Research and Development Center
Published: October 2022

The impact of inlet flow variations on turbomachinery flow is common in the real world, resulting in undesirable performance deteriorations in engineering. The origin of performance changes and how to evaluate the changes require to be studied, which is of high significance in both academic and engineering communities. On use of CFD and the nonintrusive polynomial chaos (NIPC) method, performance impact considering the stochastic variations of inlet flow angle for a transonic compressor rotor blade is studied in the paper. A detailed grid-independent study assisted by Richardson extrapolation is firstly presented to illustrate the reliability of CFD solutions. Then the implementations of NIPC employing adaptive sparse grid are introduced. Performance uncertainty quantification of NASA Rotor 67 is evaluated using NIPC and the effects of different distributions of inlet flow angle variation (IFAV), different ranges of IFAV on the performance changes at different operation conditions are presented. Finally, statistical analysis on flow solutions by Monte Carlo simulation is performed. The adiabatic efficiency along span at the outlet and the flow solutions in the blade passage are presented and discussed to demonstrate the impact mechanisms of IFAV.
Numerical investigation of an aggressive s-shaped compressor transition duct with combined boundary layer suction
Authors:   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences, Huang Song , Yang Chengwu ,   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences, Zhao Shengfeng ,   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences, Ge Han ,   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences, Cheng Hongzhi ,   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences, Lu Xingen ,   Institute of Engineering Thermophysics, Chinese Academy of Sciences University of Chinese Academy of Sciences
Published: October 2022

Aggressive s-shaped compressor transition ducts are important components in the connection between the upstream boosters and the downstream high-pressure compressors. The flow has a strong three-dimensionality, which is easy to cause flow separation. Therefore, this paper takes an aggressive s-shaped compressor transition duct in a geared turbofan engine as a prototype and proposes a method for controlling the flow separation through combined boundary layer suction. The study found that combined boundary layer suction can reduce the total pressure losses to a greater extent. On the premise that the location of blade suction remains unchanged, the optimal location for the circumferential slot of hub suction is located at 20% of the axial chord length of the strut, whereby the total pressure loss coefficient decreases by about 30% compared with no suction. Besides, when the mass flow rate of suction accounts for 3% of the inlet mass flow rate, compared with the case where all suction is in the hub, the total pressure loss in another case with the mass flow rate of blade suction accounting for 0.5% and mass flow rate of hub suction accounting for 2.5% is further reduced by approximately 1.6%. The distribution of the mass flow rate for combined boundary layer suction has an optimal ratio.
EFFECTS OF HIGH BUOYANCY PARAMETER ON FLOW AND HEAT TRANSFER OF TWO-PASS SMOOTH CHANNELS
Authors:   Xi'an Jiaotong University, He Wenbin , Lu Ruishan ,   AVIC the First Aircraft Institute, Yao Jiaxu ,   Xi'an Jiaotong University, Zhang Ke ,   Xi'an Jiaotong University, Wu Junmei ,   Xi'an Jiaotong University, Lei* Jiang ,   Xi'an Jiaotong University
Published: October 2022

Effects of high buoyancy parameter on flow and heat transfer of two-pass smooth channels were investigated by RANS simulation with SST model. Buoyancy number (Bo) ranging from 0.1 to 5.0, with corresponding Ro=0.15/0.25/0.40 were studied. Results reveal that in the radial outflow passage, the Nu on leading surface (LE) decreases compared to that of non-rotating conditions for lower Bo. However, a significant increase is observed for Bo larger than 1.0 due to flow separation and enhancement the turbulence. Nu on trailing surface(TE) keeps increasing. In the tip bend region, Nu increases significantly due to rotation. In the radial inward passage, the velocity profile shows a double-peak profile. With the increasing of Bo, Nu on trailing surface decreases firstly and then increases until exceeding leading surface.
EFFECTS OF SURFACE ROUGHNESS ON FLOW LOSSES OF A HIGH-LOADING LOW-PRESSURE TURBINE CASCADE
Authors:   Zhejiang University, Zeng Xian , Luo Jiaqi ,   Zhejiang University
Published: October 2022

Laminar separation induced flow transition has been regarded as one common but complex flow in low pressure turbine (LPT), which is one main source of flow losses of LPT. Lots of studies have demonstrated that the realistic rough blade of LPT favors the reduction of flow losses as the laminar separation can be delayed by increasing the roughness. Subsequently, the flow separation bubble on the suction side can be reduced, and even disappears. The present paper investigates the effects of surface roughness on flow separation of an LPT cascade, T106C. Firstly, a detailed grid-independent study assisted by Richardson extrapolation is presented to illustrate the reliability of the numerical solutions obtained by solving RANS and SST γ -Re˜θ transition model equations. Then a series of roughness with different geometric roughness height (Ra) are imposed on the whole suction side. The effects of roughness on the reduction of separation bubble are illustrated and compared. The results demonstrate that there is one critical Ra, below which the flow losses decrease, while above which the flow losses increase as Ra increases. Finally, different roughness allocations with sand grains imposed on different blade portions of the suction side are studied. Through comparisons, the sensitivities of flow loss reduction to the roughness on different blade portions are evaluated and illustrated. The study paves the way for finding an optimal roughness allocation on the suction side to minimize the flow losses.
The form and thematic content of #Lori Iro as social media autobiographical novel
Authors: Onuoha Onyekachi Peter , Ajimase Angela  A
Published: October 2022

The digital space expands our perception of the autobiographical Novel's form in the twenty-first century. Through the application of the concept of form and themes, this paper submits that #Lori Iro is a social media autobiographical novel and exists in multimodal forms across multi social media platforms. This paper observes that social media autobiographical novel is the contribution of Nigerian netizens in the further development of The African Novel. This study observes that the social media autobiographical novel like #Lori Iro is told by multiple narrators, which thrives on auto-fiction linking narratives through (#) hashtags which are fiction as plot development and pagination within the digital apps.
Exploring language styles of teacher and students' verbal interaction
Authors: Rachmat Rachmat
Published: October 2022

This research aims to find out the teacher in the classroom uses the verbal interaction between students and teacher, and language styles. The research was conducted at one of the Islamic Boarding High Schools in Maros regency, South Sulawesi, Indonesia. This research used a descriptive qualitative method, and the data was collected using observation and interviews of the teaching and process in the classroom. The results of this study demonstrated that verbal interaction and language style in a classroom are functioning effectively because the instructor can manage the situation and make the situation function properly by asking largely students for feedback. Nine types were explained in the findings: intrapersonal interaction, intrapersonal interaction, small group interaction, public interaction, formal style, informal style, group project, peer instruction, and discussion or debates. Based on the result above, it could be concluded that the verbal interaction between students and teacher and language styles in the classroom was running well.
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA SMP BERBASIS ANDROID DENGAN APLIKASI ISPRING PADA MATERI LINGKARAN
Authors: Fitria Rizky Choirotul , Faizah Siti
Published: October 2022

Kurangnya minat siswa dan pemahaman siswa terkait materi yang disampaikan pada saat pembelajaran salah satunya dipengaruhi oleh media pembelajaran yang digunakan. Tujuan penelitian ini adalah untuk mengembangkan media pembelajaran interaktif berbasis android dengan aplikasi Ispring pada materi lingkaran. Jenis penelitian ini adalah penelitian pengembangan yang mengadaptasi model pengembangan ADDIE. Langkah pertama yang dilakukan adalah analisis kebutuhan yang selanjutnya akan digunakan sebagai acuan untuk melanjutkan ke tahap yang kedua yaitu tahap perancangan produk dan penyusunan instrumen penelitian. Setelah media pembelajaran selesai dibuat, media kemudian divalidasi oleh ahli materi, ahli media, dan praktisi pembelajaran sebelum nantinya diujicobakan kepada peserta didik. Selanjutnya media direvisi dan kemudian diujicobakan kepada peserta didik melalui uji coba kelompok kecil dengan jumlah 3 siswa dan uji coba lapangan dengan jumlah 31 siswa kelas VIII G SMP Negeri 1 Jogoroto. Hasil penilaian dari ahli materi memperoleh nilai 83 dengan presentase 72,17%, ahli media dengan nilai 56 dan presentase 70,00%, dan praktisi pembelajaran 110 dengan presentase 86,92%. Sedangkan dari hasil uji coba menunjukkan hasil 87,67 dengan presentase 83,49% pada uji coba kelompok kecil dan menunjukkan skor78,67 dengan presentase 71,51%. Dari hasil penelitian dapat disimpulkan bahwa media pembelajaran interaktif berbasis android dengan aplikasi Ispring “Baik” dan “Layak” digunakan sebagai media pembelajaran.
ANALISIS KESALAHAN SISWA DALAM PEMECAHAN SOAL CERITA MATERI PERSAMAAN DAN PERTIDAKSAMAAN LINIER SATU VARIABEL
Authors: Restuningsih  , Khabibah Siti
Published: October 2022

Matematika banyak diterapkan diberbagai bidang masyarakat. Kenyataannya matematika merupakan mata pelajaran yang masih ditakuti oleh kalangan peserta didik berbagai jenjang pendidikan. Siswa sering bingung dalam pemecahan masalah matematika dengan seringnya melakukan kesalahan. Tujuan dalam pelaksanaan penelitian ini adalah untuk mendeskripsikan jenis kesalahan siswa dalam memecahkan masalah soal cerita materi Persamaan Linier Satu Variabel (PLSV) dan Pertidaksamaan Linier Satu Variabel (PtLSV) berdasarkan prosedur Newman. Penelitian ini menggunakan jenis penilitian deskriptif kualitatif dalam pengambilan subjek penelitian diambil 3 subjek dari jenis kesalahan yang dilakukan siswa. Teknik pengumpulan data yang dilakukan yaitu metode tes dan wawancara. Berdasarkan hasil penelitian dapat disimpulkan bahwa kesalahan yang banyak dilakukan siswa meliputi pemahaman (Comprehension) 36% dilanjutkan Keterampilan Proses (Process Skills) 29% , Transformasi (Transformation) 18%, Membaca (Reading) 14% dan Pengkodean (Encoding) 3%.
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBASIS SOFTWARE MACROMEDIA FLASH PADA MATERI LINGKARAN DI MTs SYAMSUL HUDA KEDIRI
Authors: Nur Nur Suprihatin , Siti Khabibah
Published: October 2022

Pembelajaran yang monoton, rumus-rumus yang banyak dan sulit dipahami serta kurangnya ketertarikan siswa yang berdampak pada nilai belajar yang rendah. Maka diperlukan sebuah inovasi atau pembangan dalam proses belajar mengajar matematika salah satunya dengan membuat media pembelajaran yang inovatif. Tujuan penelitian ini adalah untuk mengembangkan media pembelajaran dengan menggunakan Software Macromedia Flash pada materi lingkaran siswa kelas VIII MTs Syamsul Huda Kediri. Jenis penelitian ini adalah penelitian pengembangan yang mengadaptasi model pengembangan ADDIE. Langkah pertama yang dilakukan adalah analisis kebutuhan yang selanjutnya akan digunakan sebagai acuan untuk melanjutkan ke tahap yang kedua yaitu tahap perancangan produk dan penyusunan instrumen penelitian. Setelah media pembelajaran selesai dibuat, media kemudian divalidasi oleh ahli materi dan ahli media yang kemudian akan di ujicobakan ke peserta didik.  Hasil penilaian dari validator ahli media memperoleh skor 3,5 dengan kategori “valid” dan validator ahli materi memperoleh skor 3,4 dengan kategori “cukup valid”.Sedangkan dari hasil respon siswa memperoleh skor rata-rata 2,5 dengan kategori “kurang baik”. Dari hasil penelitian dapat disimpulkan bahwa media pembelajaran ini mendapat respon negatif siswa yang kemungkinan disebabkan oleh tombol-tombol yang ada di dalam media pembelajaran berbasis Software Macromedia Flash kurang bekerja dengan maksimal