bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Clock trees for optimization through Multi point Clock Tree Synthesis
Authors:   VLSI System Design, M Tech, JNTU Anantapur, Andhra Pradesh, Kishore* Papisetty Veera , Masthani Dr.S.Aruna ,   Assistant professor Department of ECE, JNTUA College of Engineering Anantapur (JNTUACEA), Anantapur, Reedy Dumpala Raghuveer ,   SMTS Silicon Design Engineer, AMD India Pvt Ltd, India., Suresh Kasturi ,   Senior Silicon Design Engineer, AMD India Pvt Ltd India.
Published: February 2020

With rapid development of deep submicron (DSM) VLSI circuits design, building clock tree with minimal insertion delays and minimal skews has turned out to be challenging. In this Paper for a given specified block with a latency of 530 ns it is aimed to achieve a latency of 400ns and achieve optimal power. Here a Clock Tree Synthesis method is used to reduce the latency and obtain the timing closure for the given block. The analysis is made and compared in terms of clock skew and insertion delay by varying the tap points. In this process of achieving the timing closure it is observed power has optimized by selecting the appropriate tap points.
Welding Parameter Effects of Welded Ti-1.5Zr- 0.3Si-6.5Al-3.5Mo Joints
Authors:   Mechanical Department, Lendi Institute of Engineering and Technology, Vizianagaram, Andhra Pradesh, India., Ratnakar* Mr. Y.S , Swetha Mrs. Ch. ,   Assistant Professor, Department of Mechanical Engineering, Vignan’s institute of management and Technology for Women Vishakhapatnam, Andhra Pradesh ,India, Suresh Mr. Ch ,   Mechanical department, Vignan Institute of Engineering for Women, Andhra Pradesh, India., Kumari Mrs. P.Prasanna ,   Mechanical department, Vignan Institute of Engineering for Women, Andhra Pradesh, India., Ahmad Mr. Shaik ,   Assistant Professor, Department of mechanical Engineering, Wellfare institute of science Technology and Management(WISTM), Vishakhapatnam, Andhra Pradesh ,India
Published: February 2020

A research is done extensively on the welding parameters using linear friction which have effect on distribution of the texture; μ-structured shape of & the mechanical characteristics of Ti-1.5Zr-0.3Si-6.5Al-3.5Mo.The conclusions show that a velocity of critical shear which must be reached. As it reaches to that velocity of critical shear, it obtains a good joint. Thermo-mechanically affected zone (TMAZ) width decreases with shear rate or frictional pressure, while the Welding Center Zone (WCZ) width remains unchanged. In WCZ, a recrystallized μ-structured shape of β grains with the shape of needle which forms α laths, & the size of grain becomes shorter with the pressure of friction. Electronic diffraction analysis got performed for welding parameters texture analysis. With the pressure on friction increase, the strength of {1 1 2} <1 1 1> beta texture intensity increases. In case of textured alpha, the power of texture grows more & the rest decreases. By checking the mechanical properties, the relationship between β grain sizes, joint elongation width & maximum hardness were determined.
A Coherence Based Dual-Microphone Speech Enhancement in Diffuse Noise Field
Authors:   Information Technologies and Programming Faculty, ITMO University, Saint-Petersburg, Russian-Federation., The* Quan Trong
Published: February 2020

In recent years, the problem of improving the quality of noisy signal has always been a dilemma, challenging scientists; especially in diffuse noise conditions. There has been great and growing interest in dual-microphone processing for hands-free speech enhancement. In this paper, the author addresses a improvement of coherence based filter in diffuse noise field. Explicit information about speech presence or absence is necessary in many speech processing applications. The proposal algorithm uses a soft speech presence probability as an optimal parameter to process noisy signal in diffuse noise condition. The evaluation proves that, speech application dual-microphone can be incorporated with this efficiency algorithm for pre-processing.
Effect of Naoh Pretreatment of Bagasse on Its Biodegradation through Anaerobic Digestion
Authors:   Dr. S.S.B.University Institute of Chemical Engg, & Technology, Panjab University, Chandigarh, India., Kaur* Maninder , Verma Yajvender Pal ,   Department of Electrical & Electronics Engineering, UIET, Panjab University, Chandigarh. India, Chauhan Sanchita ,   Dr. S.S.B.University Institute of Chemical Engg, & Technology, Panjab University, Chandigarh, India.
Published: February 2020

Bagasse the by-product of sugarcane crop, mainly utilized by the sugar industry itself in cogeneration power plant to produce power through cogeneration to full-fill their energy needs and export the excess power generated to the grid. The present study was conducted to analyze the effect of (2%, 4% and 6%) NaOH pretreatment of bagasse at room temperature for 24 hours on the biogas production through anaerobic digestion. NaOH pretreated and untreated bagasse co-digested with cow manure was assessed to optimize the NaOH concentration for enhanced biogas production in batch mode experiments. Analytical techniques such as Field Effect Scanning Electron Microscope (FESEM), Fourier Transform Infra-Red (FTIR) and X-ray diffractometer (XRD) were used to investigate the changes on physical and chemical structures of pretreated bagasse. The 4% NaOH pretreatment resulted in highest biogas production which is 55.3% higher than untreated bagasse.
A Novel Transposition Encryption Emerging DNA Strand with Random Permutation
Authors:   Computer Science Department, Faculty of Information Technology, University of Petra, Amman, Jordan., Al-Farraji* Shakir M. H. , Saadeh Huda K. ,   Department of Information Security, Faculty of Information Technology, University of Petra, Amman, Jordan.
Published: February 2020

The fast and wide development in information technology and data handling has made researchers to be interested in the data confidentiality and to think about finding new and complex methods in data encryption. In this paper, a novel method for encryption is introduced. The idea beyond this proposed method is to take the advantages of the DNA computing and merged it with the concept of the classical transposition cipher by applying the random permutation in order to design this novel encryption method. The emerging DNA computing with the random numbers for transposition produced a highly complex ciphertext that make the task of cryptanalysis more sophisticated and difficult to analyze and break it.
Detection of Macro and Micro Nutrients in Potatoes using Elemental Analysis Techniques
Authors:   electronics engineering, M.I.T Campus, Anna University, Chennai, India., Parameswaran* R. , Bhuvaneswari Dr.P.T.V. ,   electronics engineering, M.I.T Campus, Anna University, Chennai, India.
Published: February 2020

The elemental technique used for the detection of macro and micro nutrients in dry potato and fresh potato has been carried out in this research. Two techniques, namely Laser Induced Breakdown Spectroscopy (LIBS) and Scanning Electron Microscope (SEM) with Energy Dispersive Analysis of X-rays (EDAX) have been employed. LIBS provides the spatial distribution of elements in the considered sample, while SEM with EDAX provide a quantitative percentage of elements in the sample. In the first technique, plasma is created in the sample (dry and fresh potato )when photons emitted from the laser source are impinged on the sample. The elemental distribution in plasma is captured using a spectrometer. Then, with the aid of NIST database, the relationship between wavelength and the intensity of the element is determined and the following observations are made by using origin pro tool. The major macro nutrients detected in the sample are nitrogen, calcium, potassium, phosphorus, and magnesium. The micro nutrients, namely sodium and iron are also detected. In the second technique, the samples are pulverized and placed in the sputtering instrument and scanned by SEM. From the scanned image,the macro and micro nutrient present in the sample are determined. The quantity of the element along with atomic percentage is determined. The investigation was extended to potato based food products, namely lays and potato chips. From the experiment, in addition to the macro and micro nutrient, toxic elements, namely lead and indium present in the sample have also determined. The fundamental point of this examination is to serve the cultivation plants to know the elements of the specific plants.
Performance and Optimization of Commercial Solar PV and PTC Plants
Authors:   Department of Electrical Engineering, Majmaah University, Saudi Arabia., Baseer* M.A. , R. P Praveen ,   Department of Electrical Engineering, Majmaah University, Saudi Arabia., Zubair M. ,   Department of Electrical Engineering, Majmaah University, Saudi Arabia., Khalil A. Galal Abo ,   Department of Electrical Engineering, Majmaah University, Saudi Arabia., Saduni Ibrahim Al ,   Department of Electrical Engineering, Majmaah University, Saudi Arabia.
Published: February 2020

Installation of solar PV arrays at utility scale is gaining popularity nowadays because of the significant reduction in the cost of components as well as the global push towards clean energy. Solar PV plants along with Parabolic Trough Collector Solar thermal plants has the highest potential among the available Renewable Energy (RE) technologies existing in the world. The objective of this paper is to optimize the performance of commercial Solar PV and PTC power plant for a potential location and hence to arrive on a most feasible configuration for the site. A representative site located in the Abudhabi region of UAE considered for the study. This paper also details on the annual performance of the proposed plant along with its technical aspects. PVSYST 6.7.7 and SAM software is used to design the optimal size and its specifications of a 100MW PV grid connected system at Abu Dhabi (UAE) region. The design and arrangements of the system verified using simulation results. The annual energy generated from the designed utility-scale solar PV plant from PVSYST 6.7.7 calculated as 161198MWh/year with a performance ratio (PR) of 74.8% per year where as for PTC it has calculated as 157152MWh/year by using SAM. The STC (Standard Testing Condition) for the specification of PV modules are normalized operating conditions when testing the module. Design parameters such as module orientation, array yield, reference yield, final yield, global horizontal irradiation (GHI), and ambient temperature and loss factors evaluated. To evaluate the economic feasibility of proposed plant, the levelized cost of electricity (LCOE) is determined as $0.04404/kwh for Solar PV and as $0.01533/kwh for PTC, which is used to calculate lifecycle cost and energy production.
Voltage Profile Improvement of a Disturbed Electric Power System using UPFC Compensation
Authors:   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria., Anyaka* Boniface Onyemaechi , Omeje Luke Uwakwe ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria, Manirakiza Jean Felix ,   Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Odo Matthew Chinedu ,   Department of Electronic Engineering, University of Nigeria, Nsukka Enugu State
Published: February 2020

The major objective of using flexible alternating current transmission systems (FACTS) devices in an interconnected electric power transmission network is to improve the parameters of the transmission line. This study presents the voltage profile improvement and power loss reduction of the Nigeria 330 kV transmission network using the unified power flow controller (UPFC) as an optimal FACTS device. The study utilized the power systems analysis toolbox (PSAT) 2.1.10 that is embedded in MATLAB 2017a to model the Nigeria 330 kV transmission network that consists of 9 generating stations, 31 buses and 42 transmission lines. The Newton Raphson load flow algorithm was used to carry out the load flow study using data obtained from the transmission company of Nigeria. Voltages less than 0.95pu (313.5kV) were assumed to be low voltage while those greater than 1.05pu (346.5kV) were assumed to be high voltage. A base case load flow study was carried out without the use of UPFC to determine weak buses. The outcome of the base case simulation without the use of the UPFC showed that seven buses were operating outside the lower operating limit. After compensation using the UPFC, the operating voltages at each of the buses were found to be within the stated limit. Findings from the study show that the weak buses occurred as a result of the long distances between the transmission lines and the generating stations. The transmission line losses were found to have been reduced from 71.66MW to 32.95MW and from 76.7MVAR to 41.89MVAR respectively.
Prediction of Diabetics using Machine Learning
Authors:   Research Scholar, Sathyabama Institute of Science and Technology, Chennai, Geetha* G. , Prasad Dr.K.Mohana ,   Associate Professor, Sathyabama Institute of Science and Technology, Chennai
Published: February 2020

Around 50.9 Million People in India suffer from diabetics and Tamil Nadu stands second in the list of Indian states. The main objective of this paper is to develop prediction modeling of the given medical data of patients with and without diabetics. Through this paper, we aim to create hybrid models that can be easily used by doctors to treat patients with diabetics. Naïve Bayes and Random forest algorithms are used to predict whether a person having diabetics or not, by keeping his health conditions in mind. Thus this process enables doctors to easily group, classify and categorize the disease type accordingly treatment can be given to them. We split the Dataset into 1) Training set and 2) Testing Set and perform analysis on them. The Pima Indian dataset was used to study and analyze the data, alongside with data mining techniques. It is the data obtained from the National Institute for Diabetics patients which contains n number of medical predictor variables and one target variable. Initially, we replace the null values that are there in the dataset with the mean values of the respective columns. We then split the dataset into different ways to perform analysis on them: 85/15, 80/20, 70/30, 60/40. After procuring the data set, we apply Naïve Bayes and Random Forest algorithms on this. The Naïve Bayes algorithm is used here to find the probability of the independent features/columns. The data set is given as an input and the prediction takes place according to the NB Model. The Random Forest algorithm is used here in order to perform feature selection. It takes n inputs from the dataset and builds numerous uncorrelated decision trees during the time of training. It then displays the class that is the mode of all of the class outputs by individual trees.
Cloud Database Security in E-Voting System using Blockchain Technology
Authors:   Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai, India., L* Shakkeera , Pransanth K C Hem ,   Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai, India., Sabareesh  ,   Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai, India., Begum I Sumaiya ,   Department of Information Technology, B.S.Abdur Rahman Crescent Institute of Science & Technology, Chennai, India., Vali Y Sharmasth ,   Department of Computer Science and Engineering, Dhanalakshimi College of Engineering, Chennai, India.
Published: February 2020

In today’s era, the cloud database security is one of the main concerns for any of the real time data accessing web/mobile applications. The cloud database protection involves accessibility and vulnerability of data, data protection, storage space, integrity and confidentiality on sensitive data. Building an electronic voting system that tries to completely fulfill the needs of the people has always been a challenge to achieve. The existing E-Voting System (E-VS) is not that much compatible with that of the current trends and does not assure to provide more security A lot of distributed ledger technologies which has been an exciting approach during existing election voting process. If we take a look on the ways of implying E-VS in a distribute ledger then Blockchain would be the right choice. As we all know that nowadays, Blockchain is one of the emerging technologies in the field of Information Technology. It normally stores information in batches called blocks which are linked together in a chronological way or method to form chain of blocks using cryptography techniques. During online voting process, many fraudulent activities happens which corrupt the entire election process. One of the major problems faced are fake voting which is obviously done by unauthorized people, inconvenient to reach to the respective places, average security level which may lead to the chances of an electoral fraud or any other malpractices.. Our proposed E-Voting System is mainly to protect the cloud database for real time data and to reduce the time consumption in voting and vote counting processes. Instead of standing in the queue for casting the vote, people can cast their votes from anywhere they want through online. The E-VS gives complete privacy and security for the online voting and makes it an ease for every individual to access it and cast their votes from anywhere possible with full pronounced security. In our proposed E-VS, Blockchain security concept called Consensus algorithm is implemented which makes it impossible for any unwanted activities to occur during election process. The E-VS system also achieves a higher level of security. Hence, the proposed system achieves data integrity, data confidentiality, eliminates storage overhead, and reduces time consumption for overall electronic voting system.
Interactive Learning Model in Vocational Education with Smart Board Technology
Authors:   Head of the vocational technology education in the Faculty of Engineering, Padang State University, Rukun* K , Huda Y ,   Collage student Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang, Sriwahyuni T ,   Collage student Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang, Ihsan Muh. ,   Collage student Engineering Faculty of Postgraduate Program Technology and Technical Education of Doctoral Program State University of Padang, d E Mandasari ,   Lecturer in FTIK IAIN Padangsidimpuan North Sumatera
Published: February 2020

Increasing the competence of graduates to work according to the demands of the development of the Industrial Revolution 4.0 is determined by the role of educators. The role of educators in terms of choosing to apply technological innovations into their learning with appropriate models / strategies, is considered to be a solution to increasing competence. The long-term goal of this research is to develop an innovative and flexible learning model based on Smart Classroom through the study of the development of an interactive learning model on technology education and vocational-based Smart Board Technology at Padang State University. This type of research is Research and Development, with development procedures using the 4D Development Model [4] consisting of: Define, Design, Develop and Disseminate. The model design was validated by 3 media experts with very high validity values; 87,35, through practicality testing on 36 students in the Department of Electronics Engineering, the Faculty of Engineering shows that learning through the use of IWB is more fun and interesting, and they claiming that it makes learning more fun and helps them understand difficult subjects. The developed model can be a solution to increase the competency of vocational education graduates through the application of technology innovation strategies into the offered learning
Performance Optimization of Higher Education System by using Secure & Reliable ERP System
Authors:   Computer Science and Engineering Department, Glocal University, Saharanpur, India, Jamal* Ahmad , Harsh Om Kumar ,   Om Kumar Harsh, Vice Chancellor, Glocal University, Khan Aamir ,   Computer Science and Engineering Department, Glocal University, Saharanpur, India
Published: February 2020

Paper An ERP System is the dorsum of every individual organization. In the new advance world, ERP is not limited to any particular organization boundaries. It is now used by the education sectors for the smooth functioning of academics performances. ERP plays a very crucial role in the education sector, as earlier universities used to monitor stand-alone software for each department/sector separately, which has faced the problem of centralization of information. Also, there was a problem of record modification/change in the stand-alone software, In order to update any information in any department/sector. We also need to do the same on every department/sector individually, which is a very tedious, time-consuming, and complex job. To overcome such problems and boosting the functionality of the particular education sector we have managed to introduce the system for the better solution of this problem by making a centralized ERP system i.e. Enterprise Resource Planning, with a general approach for the education environment. No doubt many ERP tools are available in the market but generally, they do not fulfill all the aspects of the education environment, because of the lack of proper requirements gathering. The reason behind this is that all the ERP solutions are made by the industry by assuming the requirements. So this paper provides the implementation of an ERP system for the higher education systems which fulfill all the requirements of higher education institutions after taking the requirements from the education sector for the smooth functioning of their particular institution. Finally in this research we have observed the efficiency of work done before and after the introduction of E-HE system and the promising results were observed for quarter 3rd and 4th for all seven cases. In quarter 1st and 2nd we observe less tasks performed by standalone software whereas for quarter 3rd and 4th after the introduced of E-HE system we have observed enormous increase in performance for the completion of jobs done.
Enhanced Security of Encrypted Text by KDMT: Key-Domain Maximization Technique
Authors:   Department of Mathematics, UPES, Dehradun, India., Uniyal* Dr. Nitin , Dobhal Dr. Girish ,   Department of Mathematics, UPES, Dehradun, India., Semwal Mr. Pradeep ,   School of Computer Application and Information Technology, SGRR University, Dehradun, India.
Published: February 2020

Encryption-decryption techniques have been the backbone of network security in the modern era of wireless transmission of data. We present here a more secured encryption-decryption method based on the maximization of key domain in finite field. The proposed technique uses a random primary key to fetch the encryption-decryption key-pair furnished by a unique decomposition. A secondary key taken from a subdomain with specific property is used to add more randomness in the encrypted text structure. A probabilistic comparison of key prediction by hacker is also discussed to justify the added security in the proposed method.
Improved Performance for Secured Authentication in User Devices and Cloud Environment
Authors:   Associate Professor and Head Dept. of Computer Science & Engineering. K. S. School of Engineering and Management, Bengaluru, India., R.S* Veena , Pujeri Ramachandra V. ,   Director M.I.T College of Engineering, Pune, India., M Indiramma ,   Professor Dept. of Computer Science & Engineering, BMS College of Engineering, Bengaluru, India.
Published: February 2020

In the last few years, various researchers have identified that securing the cloud environment requires quite a challenging decision to be made as identifying the correct security parameter is difficult. This paper presents” SRAAM: Secure Resource Access Authentication Mechanism”, a collaborative framework between user mobile device and cloud infrastructure, for authenticating user and device credentials. An experimental prototype is done for proof of concept and performance matrices are evaluated based on the important decision making parameters. Also, a novel model called as Integrated Framework for Cloud Security (IFCS) that performs mainly three task i) faster and robust user authentication, ii) maintaining anonymity of data storage location, and iii) securing the virtualization platform. An experimental approach is adopted in order to testify the proposed system. Total algorithm processing time in contrast to frequently adopted security protocols in existing system.
DSC and Weathering Test of Composite formed of Six Configurations of RPPCP and RGF materials
Authors:   Central Institute of Plastics Engineering and Technology, INDIA., Singh* Bikramjit , Dixit Dr. Gajendra ,   Department of Mechanical Engineering, Maulana Azad National Institute of Technology, Bhopal, INDIA., Dixit Dr. Savita ,   Department of Chemistry, Maulana Azad National Institute of Technology, Bhopal, India.
Published: February 2020

The exploration of different materials is at its peak nowadays. This pace has not only gone towards discovering new material but inventing new, by making composites of different materials. Now this stream has gone into making composites of different polymers to make them suitable enough to compete and overtake metals. In this study, Polypropylene Copolymer (PPCP) is mixed with Glass Fibre Reinforced Polyester (GFRP) to form the Recycled PPCP or RPPCP. Further, a composite material is formed by the amalgamation of RPPCP and Recycled Glass Fibre (RGF) in different proportions. These samples of different proportions are created and tested in weatherometer and DSC analysis. In both of the tests, the outcome has been in favor of the sample with 70% RPPCP and 30% RGF proportion of the composite.
Estimating the Flexibility Index of the Heat Exchanger Network by using the Confidence Level
Authors:   chemical and process engineering , suez university, suez, Egypt., Kaoud* M. , Gouda M. ,   chemical and process engineering , suez university, suez, Egypt., Aly S.M. ,   chemical and process engineering , suez university, suez, Egypt., Awad M.E. ,   chemical and process engineering , suez university, suez, Egypt.
Published: February 2020

This paper presents a new technique to estimate the heat exchanger network flexibility index by using a statistical method. This method identifies the true value under uncertainty. The flexibility of the heat exchanger network (HEN) is one of factors which affect the operability of the system. This method was applied by the following a sequential procedure. First, the disturbance propagation of HEN was studied by generating the linear model which presents the relationship between the output disturbance of the target temperature and the disturbance in the operation condition in input such as the supply temperature and the flow rate of the heat capacity. The matlab application was used to generate this equation. Second, the stream with low sensitivity to this disturbance was selected. Third, the confidence level for the lower disturbance this stream was calculated. This method was applied on three published cases and their results were compared with the results of the new method. The new method provides a simple way to calculate the flexibility index for large heat exchanger networks..
The Application of Artificial Intelligence Technology in Cultural Heritage Development
Authors:   Software Engineering Department, University of Petra, Amman, Jordan., Shubita* Ahmad F. , Saleh Yaser ,   Software Engineering Department, University of Petra, Amman, Jordan.
Published: February 2020

Technological development is having a vital impact on our societies. In recent years, we have seen a remarkable increase in smartphone users in countries with developing economies such as Jordan. This research aims to explore and develop opportunities for supporting cultural heritage in Jordan using emergent technologies. A study was conducted to understand the challenges and obstacles for developing cultural heritage and cultural heritage sites, and to study the new emergent technologies and explore the benefits that can protect and promote cultural heritage in Jordan. Based on the study, an AI solution was designed and prototyped to address how emerging technologies can be used to improve the delivery of tourism services and the visitor experience. This research demonstrates how technology would ensure sustainable economic growth and shows the interrelations between cultural heritage, technology, services, and their impact on the local community.
Predicting the Outbreak of Tikka and Rust in Grountnut (Arachis Hypogaea)
Authors:   Research Scholar, Department of Computer Science, Alagappa University, Karaikudi, India, Mangala* R. Ruba , Padmapriya Dr. A. ,   Associate Professor, Department of Computer Science, Alagappa University, Karaikudi, India.
Published: February 2020

Groundnut (Arachis hypogaea) is one among the most important oil seed crop cultivated in India. Tikka leaf spot and Rust are the major disease of groundnut that effects on production and productivity. The prediction was made based on factors such as minimum and maximum temperature, morning and evening humidity, wind speed, sunshine hours that quantifies the disease infestation in groundnut. The relationship between the weather, pest and disease infestation are identified which supports the model to predict the occurrence of the disease. The observations were recorded at an interval of one week from the occurrence of tikka and rust. The percent disease intensity is calculated based on the scale explained by Mayee and Data. The favourable climatic conditions for tikka and rust disease development ranges between 26OC – 31OC and 25OC – 30OC respectively, relative humidity greater than 85%, prolonged heavy rainfall, wind speed and rain. The rules are generated based on the recorded observation and the weather parameters. The main objective is to diagnose the existence of tikka and rust disease coupled with weather parameters.
Investigating the association of regional anesthesia during labor with postpartum depression
Authors: Barooti Esmat , Malek Bahman , Honarmand Safoora , Moshari Mohammadreza , SM Seyed Alshohadaei
Published: February 2020

Introduction: Postpartum depression (PPD) is a common disorder and a type of clinical depression that affects mothers during the first 4 weeks after childbirth. Considering the destructive effects of this disease on mothers' behavior, identifying the factors affecting PPDand using proper methods in normal delivery is important. The aim of this study was to determine the relationship between regional anesthesia (RA) during labor and the incidence of PPDin women referred to hospitals affiliated to Shahid Beheshti University of Medical Sciences.

Methodology: In this study, 200 pregnant women referred to hospitals of Shahid Beheshti University of Medical Sciences during 2015 to 2017 entered into two equal groups, Group R, administered RA, and Group C; control group without RA according to their desire. Each group consisted of 100 parturients, and the two groups were compared for the incidence of PPD and the association of depression with RA during labor.

Results: Based on the obtained data, the participants in the two groups did not differ significantly in terms of age, body mass index (BMI), duration of delivery phases and depression in the first week of postpartum. However, the severity of pain in different phases of delivery was different due to the use of anesthetic for one of the groups. No significant relationship between RA and depression was observed in the first week after childbirth. However, RA has a significant relationship with PPD in the 4th week, so that the use of RA reduces the incidence of PPD in the 4th week (p = 0.066).

Conclusion: We conclude that the use of regional anesthesia will not have a significant effect on postpartum depression in the first week, but it reduces the incidence of postpartum depression in the 4th week after childbirth.

Citation: Barooti E, Malek B, Honarmand S, Moshari M, Alshohadaei SMS. Investigating the association of regional anesthesia during labor with postpartum depression. Anaesth pain & intensive care 2019;23(3):---- 

Received – 30 May 2018, Reviewed – 23 August, 26 October 2018, 2 May, 4 May, 16 June, 14 September 2019; Revised – 14 October 2018, 18 March, 10 June 2019; Accepted- 14 September 2019
Two oral sedation regimens in pediatric dentistry: a randomized controlled trial
Authors: Hammadyeh Awj , Altinawi Mohamed , Rostom Faten
Published: February 2020

Objectives: Dental procedures are always associated with some degree of anxiety, and children are usually more prone to it. General anesthesia may have to be used in more complex procedures, but many dental procedures can successfully be undertaken with therapeutic sedation. The aim of this trial was to evaluate the effectiveness of oral sedation using dexmedetomidine in comparison with ketamine in the management of uncooperative pediatric patients during dental treatment.

Methodology: A randomized clinical trial was carried out on 40 ASA physical status-I children aged 2-6 y to investigate the effect of using dexmedetomidine and ketamine with atropine for sedation.

The children were equally and randomly divided into two groups: Group K: received oral ketamine 5 mg/kg with atropine 0.01 mg/kg, and Group D: received oral dexmedetomidine 3 µg/kg. Recovery time, vital signs, and side effects were all recorded. Behavior rating was also assessed using the Ohio State University Behavioral Rating Scale (OSUBRS).

Results: The children in Group D were more sedated than in Group K, but the difference was not statistically significant (p = 0.22). The median recovery time was significantly shorter in Group D than in Group K (p = 0.003). No adverse effects, episodes of respiratory or cardiovascular instability were noted in either groups.

Conclusions: Oral dexmedetomidine is equally effective to oral ketamine for sedation in children undergoing outpatient dental procedures, but has relatively a shorter recovery time.

Citation: Hammadyeh A, Altinawi M, Rostom F. Two oral sedation regimens in pediatric dentistry: a randomized controlled trial. Anaesth pain & intensive care 2019;23(4)__
Comparison between intrathecal nalbuphine and butorphanol as adjuvants to isobaric ropivacaine in elective lower limb orthopedic surgeries: A prospective, randomized, double blind study
Authors: Nirmal Akash , Singh Yashpal , Mathur Sharad Kumar , Patel Satish
Published: February 2020

Background: Intrathecal ropivacaine is now routinely used for lower limb surgery. Adjuvants e.g. fentanyl, dexmedetomidine or morphine etc. are commonly used to prolong the intraoperative anesthesia or postoperative analgesia. The available literature lacks information on use of butorphanol and nalbuphine as adjuvants with 0.75% isobaric ropivacaine. We aimed to compare nalbuphine and butorphanol as adjuvant with isobaric ropivacaine in lower limb orthopedic surgeries.

Methodology: After institutional ethical committee approval and informed written consent, a total of 108 patients of ages between 18 to 65 y, of either sex, American Society of Anesthesiologists (ASA) grade ӏ & ӏӏ, scheduled for elective lower limb orthopedic surgeries, were enrolled and  randomly allocated into two groups: Group RN; to receive isobaric ropivacaine (0.75%, 7.5 mg/ml) 2.5 ml plus nalbuphine 500 µg (0.5 ml), and Group RB; to receive isobaric ropivacaine 2.5 ml plus butorphanol 100 µg (0.5 ml) intrathecally. Primary outcome measure was the duration of sensory‑motor blockade from the time of intrathecal drug administration. Statistical analysis was performed by using t-test and chi-square test as applicable. A p < 0.05 was considered as significant.

Results: Duration of sensory (p < 0.001) and motor blockade (p = 0.02) was significantly prolonged in nalbuphine group than butorphanol group. Onset of blockade was earlier in nalbuphine group. Duration of motor block and sensory analgesia was prolonged in group RN (p < 0.001). Perioperative hemodynamic parameters and the observed side effects including bradycardia, hypotension, nausea and vomiting, sedation and shivering were comparable between the two groups (p = 0.77).

Conclusion: Intrathecal nalbuphine produces prolonged motor blockade as well as postoperative analgesia than intrathecal butorphanol when used as adjuvants to isobaric 0.75% ropivacaine.

Citation: Nirmal A, Singh Y, Mathur SK, Patel S. Comparison between intrathecal nalbuphine and butorphanol as adjuvants to isobaric ropivacaine in elective lower limb orthopedic surgeries: A prospective, randomized, double blind study. Anaesth pain & intensive care 2019;23(4)__

Received: 22 August 2019; Reviewed: 8, 9 October 2019; 6, 7 November 2019; Revised: 18 November 2019; Reviewed: 19 November 2019; Accepted: 20 November 2019
A case report of a complicated fatal percutaneous valve implantation
Authors: Sampaio Ana , Norte Gustavo , Godinho Liliane , Raimundo Ana , Cuervo Manuel
Published: February 2020

Pulmonary valve dysfunction, also called right ventricle outflow tract dysfunction, is one of the known anomalies in patients with congenital heart disease. Percutaneous pulmonary valve implantation (PPVI) has been developed as an alternative to surgical correction. Although it is largely considered a safe procedure, life-threatening complications can happen and institutions must be able to resolve these immediately and adequately.

We present a case of pulmonary valve migration to the right ventricle during a PPVI. This complication needed immediate cardiac surgery due to resulting hemodynamic instability. The percutaneous valve prosthesis was removed and a bioprosthetic valve was surgically implanted in the correct position.

This case emphasizes the need of prompt cardiac surgery support and the readiness of the anesthesia team to deal with emergency open cardiac surgery.

Citation: Sampaio A, Norte G, Godinho L, Raimundo A, Cuervo M. A case report of a complicated fatal percutaneous valve implantation. Anaesth pain & intensive care 2019;23(4)__

Received: 24 September 2019, Reviewed: 24, 26 October 2019, Accepted: 22 November 2019
Preoperative optimization of the chronic pain patient: enhanced recovery before surgery
Authors: Durrani Romana Shaida
Published: February 2020

This book is a combination of pain medicine and psychology. It targets optimising the chronic pain before surgery to prevent the development of chronic post-surgical pain and to prevent the flair of acute on chronic pain episodes. The book has 11 chapters. First chapter describes the scope of the problem, the economic burden and related complications. There is an overview of consequences of pain chronification and opioid use. Multiple papers are cited with detailed results on pre-op and post-op problems of opioids with effects on length of stay and success rates of surgery
STUDY OF INSULIN RESISTANCE AND THYROID PROFILE IN WOMEN WITH
SPONTANEOUS ABORTIONS
Authors: R Annapoorani , D Nagasudha
Published: February 2020

Thyroid dysfunction and insulin resistance are important endocrinological causes of spontaneous abortions. This study is resistancewith
spontaneous abortions Thyroid dysfunction and Insulin resistance are common endocrinological causes of abortions.The present study is a case
control study where 75 patients with spontaneous abortions below 20 weeks were taken as cases and 75 patients with normal on going pregnancy
without previous history of miscarriage were taken as controls. Thyroid Function Tests (Free T3 ,Free T4,TSH) ,Oral Glucose Tolerance Test
following 75 mg glucose load were done in cases and controls. Fasting glucose and insulin levels were measured and Insulin resistance was
calculated using homeostatic model assessment method (HOMA- IR).Free T3 levels were signicantly lower and TSH levels were signicantly
higher in study group indicating the presence of hypothyroidism in the abortus group. The HOMA-IR insulin resistance scores were apparently
higher in the study group than in the controls, but it was not statistically signicant.
A STUDY ON IDENTIFICATION AND SPECIATION OF MEDICALLY IMPORTANT
CANDIDA SPECIES ISOLATED FROM VARIOUS CLINICAL SAMPLES BY USING
HICROME CANDIDA.
Authors: Jogender Mr , Kulshrestha* Anjali , Rishi Suman
Published: February 2020

Candida albicans remains the most frequently isolated species, but an increase in the prevalence of Non-albicans candida is a matter of concern for
1-3 various laboratories, as NAC show less susceptibility to antifungal agents particularly azoles . Routinely used conventional methods are
cumbersome and time consuming. Hence the present study aimed at species identication of candida isolated from various clinical specimens and
also to evaluate the usefulness of HiCrome Candida differential agar as compared to routine conventional method for speciation of candida. Atotal
of 51 non repetitive clinical isolates of Candida were obtained from various clinical samples. Candida albicans was the major species accounting
for 23 (45.10%) of the total isolates. Non albicans Candida constituted 17 (33.33%) of C. tropicalis, 9 (17.64%) of C. krusei and 2 (3.92%) of C.
parasilosis. 49 Candida species which were correctly identied by HiCrome Candida agar except 2 species of C.parasilosis (identied by
conventional method) which were identied as C. glabrata by Hicrome Candida agar
NEW IVY CULTIVARS - FIRST FROM RUSSIA AND SPAIN
Authors: Yena Andriy Vasilyevich , Ginea Iñaki Garmendia
Published: February 2020

This article shows progress in the selection of Hedera cultivars. Seventeen new ivy cultivars are described in detail, comparing them to existing similar cultivars. They are 'Andreas', 'Bizar', 'Darth Vader', 'Ederalai', 'Eny', 'Frisé', 'Hulk', 'Irina', 'Konstantin Efetov', 'Laurence', 'Nabar-Nabar', 'Nilita', 'Papa Yena', 'Petrovich', 'Sasha', 'Troll Panaché' and 'Yarik'. Among them, fifteen are cultivars of H. helix and two are cultivars of H. maroccana . Thirteen were selected by first author and four by the second author. It should be emphasized that there have only been three cultivars of H. maroccana known until now. The cultivars described are the result of the authors’ investigation and collaboration during last decade. These unusual and promising sports were found in the wild, in parks, collections and trade and were further examined of their distinctness, uniformity and stability. With this, Russia and Spain have joined the group of countries known for the selection of ivy cultivars.
Impact of winter savory essential oil on the functioning of cardiovascular system of the elderly
Authors: Yarosh A. M. , Batura I. A. , Tonkovtseva V. V. , Melikov F. M. , Bekmambetov T. R. , Bezzubchak V. V. , Koval E. S. , Nagovskaya E.-E. V.
Published: February 2020

Objective. To study the effects of winter savory essential oil on the functioning of cardiovascular system of the elderly. Materials and methods. The study includes 97 women of older age with increased systolic blood pressure, which were divided into control (session of relaxation therapy only), and experimental (session of relaxation therapy combined with aromatherapy of winter savory essential oil) groups. Before and after the sessions, systolic and diastolic blood pressure, heart rate of the testees were measured and the following indices were determined: pulse blood pressure, minute blood volume, mean dynamic blood pressure, total peripheral vascular resistance, heart index, systolic index, Robinson index, Kerdo index, circulatory efficiency coefficient. Results. The study found that the use of winter savory essential oil led to a significant decrease in systolic blood pressure (exposure for 10 and 30 minutes) and heart rate (all time periods). The values of pulse and average dynamic blood pressure significantly decreased during aromatherapy for 10 or 30 minutes, there was also a significant decrease in the values of minute blood volume after 10 and 30-minute session of aromarelaxation. After 30-minute aromarelaxation there was an increase in the total peripheral vascular resistance. The change of Kerdo index value in the direction of parasympathetic after 30 minutes of aromatherapy was revealed. The value of the coefficient of efficiency of blood circulation significantly decreased after 10 and 30 minutes of aromarelaxation, Robinson index decreased during all time periods of exposure. Conclusion. On the basis of the obtained data, it can be concluded that the essential oil of winter savory has a pronounced normalizing effect on the circulatory function of the elderly women with systolic hypertension.
Analisis Regresi Spatial Durbin Model (SDM) untuk Pemodelan Kemiskinan Provinsi Jawa Timur Tahun 2017
Authors: Hidayah Nur Roudlotul , Indrasetianingsih Artanti
Published: February 2020

Regression is a statistical technique used to describe the relationship between response variables with one or more predictor variables. The development of classical regression analysis that is influenced by the effects of space or location of a region is called spatial regression analysis. The purpose of this study is to conduct Spatial Durbin Model (SDM) regression analysis for poverty modeling in East Java in 2017. Poverty is a classic problem that occurs in almost all countries and is multidimensional, which is related to social, economic, cultural and other aspects. In 2017, poverty in East Java declined compared to the previous year. Therefore it is necessary to identify the factors that influence poverty. The variables used are the percentage of poor people as the response variable (Y) and predictor variables including Education does not finish elementary school (X1), Literacy Rate age 15 -55 years (X2), informal sector workers (X3), unemployment rate open (X4), household users of land as the widest floor (X5), and households using improper sanitation (X6), and households using drinking water sources are not feasible (X7). 

 

Regresi merupakan teknik statistik yang digunakan untuk menggambarkan hubungan antara variabel respon dengan satu atau lebih variabel prediktor. Pengembangan dari analisis regresi klasik yang dipengaruhi oleh efek ruang atau lokasi wilayah disebut analisis regresi spasial. Tujuan dari penelitian ini adalah untuk melakukan analisis regresi Spatial Durbin Model (SDM) untuk pemodelan kemiskinan di Jawa Timur tahun 2017. Kemiskinan merupakan masalah klasik yang terjadi hampir diseluruh negara dan bersifat multidimensional, dimana berkaitan dengan aspek sosial, ekonomi, budaya dan aspek lainnya. Pada tahun 2017, kemiskinan di Jawa Timur mengalami penurunan jika dibandingkan dengan tahun sebelumnya. Oleh karena itu perlu dilakukan identifikasi faktor-faktor yang berpengaruh terhadap kemiskinan. Variabel yang digunakan yaitu persentase penduduk miskin sebagai variabel respon (Y) dan variabel prediktor antara lain Pendidikan tidak tamat SD (X1), Angka Melek Huruf  (AHM) usia 15 -55 tahun (X2), pekerja sektor informal (X3), tingkat pengangguran terbuka (X4), rumah tangga pengguna tanah sebagai lantai terluas (X5), dan rumah tangga pengguna sanitasi tidak layak (X6), dan Rumah tangga pengguna sumber air minum tidak layak (X7).