bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Thematic Multi Media-Based Learning Model to Increase Clean Life Skills
Authors:   Psychology, Universitas Negeri Jakarta, Jakarta, Indonesia., Yufiarti  , Wuryani  ,   Special Need Education, Universitas Negeri Jakarta, Jakarta, Indonesia., Issom Fitri L ,   Psychology, Universitas Negeri Jakarta, Jakarta, Indonesia., Gumelar Gumgum ,   Psychology, Universitas Negeri Jakarta, Jakarta, Indonesia.
Published: August 2019

This study aims to develop multi-media based products on thematic learning sub themes "cleanliness at home". This research was applied in class II of elementary school. Multimedia products produced are short animations with the theme of hand washing. This research method uses Research and Development (R & D) with the Borg and Goal model. Three stages of development research are: first, preliminary research into the two development models and third the model dissemination. The results of the preliminary study concluded that multi-media based applications are needed for thematic learning in elementary schools. The development of multi-media animation by giving a message of six steps of hand washing was developed through the stages of product development. The first stage of expert judgment is carried out by media, material and language experts. The second stage is one to one and small group. This study produced a valid multi-media assisted thematic learning model applied to elementary school students.
Performance Analysis of 60 Ghz Wireless Communications For Wigig Networks
Authors:   Associate Professor in CVR College of Engineeeing ,Hyderabad,India, Chakkravarthy S.Praveen , Arthi V. ,   Associate Professor in CVR College of Engineeeing ,Hyderabad,India., Moses Leeban ,   Assistant professor in Bannari amman Institute of Technology, Tamilnadu, India.
Published: August 2019

The demand for faster wireless connectivity and uses of high definition multimedia content has increased the scope of research in wireless communication. To meet the requirements of future wireless networks, in terms of high speed connectivity and provisioning, WiGig networks are considered. A 60 GHz mm wave band paves a road to the future wireless ecosystem. To cater the infotainment choices to the consumer, WiGig Standard has been proposed. The work concentrates on analyzing the propagation time delay, path loss with respect to T-R separation and received power. With the advantage of the propagation characteristics of the 60GHz spectrum, WiGig will certainly provide high data connectivity and provisioning with minimum modifications in the RF front end receiver.
Psychiatry on Heart Issue and Different Data Classification Prediction with Scheduled Cause of Diabetes
Authors:   Ph.D Research Scholar, Tiruppur Kumaran College for Women, PG and Research Department of Computer Science, Tiruppur, Meenaatchi S.M , Rajeswari Dr. K. ,   Associate Professor, PG and Research Department of Computer Science, Tirppur Kumaran College for women, Tiruppur
Published: August 2019

Despite the fact existence of an express heartrending world, living prototype and culture of Human applied with various states of affairs, the traditional view of accepted wisdom with a different ideology based on their own procession of thoughts to survive their life with high mental stress. Data Classification approaches and methodologies are studied over them and planned to apply new methodologies in the future. Nowadays, Diabetes plays a very important role, which affects based on all age categories of people easily. Once debate is identified, the whole routine culture gets distressed. Infections towards some organs unvoiced in the human body, some evidence is required to apply and classify the system easily and safeguard human life as much as safe, to avoid heart-related issues.
Classification of Facial Images into Adult or Minor Categories using Facial Features
Authors:   Former Undergraduate Student, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India., Modi Harsh , Ammarah Daniyah ,   Former Undergraduate Student, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India., Rai Aditya ,   Former Undergraduate Student, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India., Jain Sweta ,   Assistant Professor, Computer Science Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India.
Published: August 2019

Facial images have always been used for various analytical and research purposes as they contain abundant information about personal characteristics, including identity, emotional expression, gender, age, etc. A human image is often defined as a complex signal composed of many facial attributes such as skin colour and geometric facial features. Nowadays the real-world applications of facial images have brought in a new dawn in the field of biometrics, security and surveillance, and these attributes play a crucial role in the same. Unrestricted and unintended access to certain resources and information to the minors has a history of physical and psychological implications, which makes age, in particular, more significant among these attributes. Consider a scenario where users may require an age‐specific human computer interaction system that can estimate age for secure system access control or intelligence gathering. Automatic human age estimation using facial image analysis will come as a rescue with its potential applications in the field of Age Specific Human Computer Interactions and numerous real‐world applications which include human computer interaction and multimedia communication. Here, we aim to identify and classify images provided as input into two main categories, adults and minors. This classification would act as an access controller to the desired resources or information. MATLAB was used to identify the younger and older images. Initially we got the databases of features extracted from the input images using different feature extraction methods. Later we compared the several trained databases to get a specific range for younger and older images. This range then became the basis for identifying the young and the old.
Intuitionistic Fuzzy Digital Continuous Maps and Connected Maps
Authors:   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India., Meenakshi S. , Amsaveni D. ,   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India.
Published: August 2019

The geometrical and topological possessions among the fragments of a digital picture play a massive role in image processing. Together Intuitionistic fuzzy logic has many applications in image processing. This article aims at such a property of continuity. It introduces intuitionistic fuzzy digital continuous maps between any two intuitionistic fuzzy digital images defined by the intuitionistic fuzzy digital regular sets and to study some of its properties. Besides, the concept of intuitionistic fuzzy digital connected maps is established by giving some restrictions on intuitionistic fuzzy digital continuous maps and derived many interesting results.
Stable Confident Rating Prediction in Collaborative Filtering
Authors:   Ph.D. Research Scholar, Assistant Professor, Department of Technology, Shivaji University, Kolhapur, India., Awati Mr. Chetan J. , Shirgave Dr. Suresh K. ,   Associate Professor, DKTE Society’s Textile and Engineering Institute, Ichalkaranji, India.
Published: August 2019

Stability of matrix factorization is estimated in terms of gradient descent estimation at each iteration which ultimately defines the stability of recommendations in collaborative filtering techniques. Also, stability is inversely proportional to total number of iterations used for estimating ratings. This gives rise to the need of the method which possesses better rating predictability within less number of iterations. The accuracy of rating prediction is found to be better when user to user trust score is estimated using similarity of individual rated items. The trust estimation is also prone to sparsity due to irregularity of ratings in large volume of data sets (big data). Based on the experimentation strategy and platform requirements, the method of trust evaluation is proposed in this positional paper. The Lyapunov stability solver functions can be used directly in obtaining solution for the trust score amongst users which can bring sufficient stability in learning stages of matrix factorization process and hence better performance in predicting the ratings of non-rated items. Here, the results obtained possess the sufficient gravity for consideration of predicted ratings which also keeps errors in prediction at lowest level for rated items. The papers are addressed from similar domain in related work section to compare proposed work in terms of novelty and performance. The results obtained are satisfactory, which are assessed in terms of mean absolute error (MAE).
Development of Dual Band Feed
Authors:   Electronics and communication engineering, CVR College of Engineering, Hyderabad, India., Rupa Sama , Krishna CHVRS Gopala ,   Electronics and communication engineering, CVR College of Engineering, Hyderabad, India., Rao L. Nageswara ,   Electronics and communication engineering, CVR College of Engineering, Hyderabad, India.
Published: August 2019

In this paper, Development of dual band feed operating in C and Ku bands to obtain high illumination and spill over efficiencies and high cross polarization discrimination, maximum gain and low side lobes for shaped Cassegrain Antenna of larger diameter is presented. The Design envisages a common aperture C and Ku band corrugated horn. Corrugated horn of suitable dimensions for the propagation of hybrid modes in both C and Ku bands having equal beam widths in principal planes (E&H) and pattern of rotationally symmetric radiation will be illuminating the shaped sub reflector in modified Cassegrain geometry. The corrugated horn is designed to operate over a frequency range of C (3.4-4.8 GHz) and Ku (10.7-12.75 GHz) bands. CHAMP is used to simulate and analyze the designed model.
Secret Image Digitization Over Public Cloud Through Cbtv Based Image Fusion
Authors:   Dept. Of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India., Gupta Sangeeta , Kumar Ashwani ,   Dept. Of CSE, Vardhaman College of Engineering, Hyderabad, India.
Published: August 2019

Data security in the modern world is a challenging aspect faced by common man in almost every field-either technical or non-technical. Particularly in Public Clouds where the data is openly available across the internet, customers are not much exposed to the working environment and the diverse spread of data across world wide geographic locations. Intruders attempt to misuse this data to serve their own commercial purpose. The government of India proposed NAD (National Academic Depository) which is a secure zone for people to deposit their valuable certificates rather than carrying to places. Towards this end, the goal of current work is to strengthen the security of certificates being loaded into the depositories by applying Image fusion technique through CBTV (Cloud Based Threshold Value). The proposed method gives a unique solution to prove authenticity of users by generating the secret image using image fusion technique integrated with public key infrastructure on the cloud prior to outsourcing. This is particularly useful to protect the patient health care reports to hide the disease description etc, which may otherwise have unintended consequences. The entire fusion is not disclosed at the cloud server end. The performance of the proposed approach, can be measure by calculating the robustness of the secret image (fused image) against different types of image processing attacks such as salt & pepper noise, Gaussian noise, JPEG compression, speckle noise, geometric noise etc. is calculated while stored at the cloud and effective results are achieved.
Design And Analysis Of RHBD Memory Cells And 4x4 RHBD 10T Memory Cell Architecture
Authors:   PG Scholar, GMR Institute of Technology, India, Chaitanya M. , Kannan V. ,   Professor, Department of ECE, GMRIT, Rajam, India
Published: August 2019

CMOS technology plays an important role in the modern electronics world. CMOS technology also plays significant role in aerospace applications. To store data, memories are widely used as the medium in aerospace applications. SRAM cells are the memories made by the CMOS technology. The most vital issues faced by memories are due to single event upsets (SEUs) which are induced by radiation particles. The SEU’s due to increase in densities and SEU’s. There is a decrease in critical charge and supply voltage in CMOS process technology. There is a need for a technique which can to tolerate these SEU’s in such aerospace applications. Which are in the environment of complex celestial radiation? The technique which is considered for such environment is radiation-hardened by design (RHBD) with soft error robustness. This paper aims at is proposing an area efficient and high reliable RHBD memory cell for the above said application using 45nm technology in Cadence Tool. Depending on power, write/read time, the layout area of 14T, 12T and 10T RHBD memory cells and their performance on power for read/write operations are observed. A comparative study is also done on these memory cells based the parameters considered.
Intelligent Companion for Blind: Smart Stick
Authors:   R&D Development Engineer, Dassault Systemes R&D, Pune, India., Shinde Sanika , Munot Mousami ,   PhD (E&TC), Pune Institute Computer Technology, Pune, India., Kumar Prashant ,   Senior Engineer, John Deere Pvt. Ltd., India., Boob Surabhi ,   Network Software Engineer, Intel Corporation, United States.
Published: August 2019

Blindness is a state of lacking the visual perception due to physiological or neurological factors. According to World Health Organization, approximately 1.3 billion people live with some form of visual impairment with 36 million people being completely blind. These people face great difficulty in independent and safe mobility. Almost 89% of such people live in low and middle income countries, and are unable to afford existing mobility aid devices. Addressing these difficulties, the proposed research aims to design a low-cost and user- friendly guidance system “Smart Stick” which serves as an Electronic travel Aid and as a Position Locator Device. It helps to improve the mobility of both blind and visually impaired people, enabling them to navigate safely by avoiding any obstacles that may encounter and providing facility to communicate its current location to any of his/her relative. This device is tested under natural environmental conditions, and has performed excellent under low and high light environments too. The proposed design achieves reduction in cost by 44% in comparison to existing devices
A Linear Filtering on Automatic Decomposition and Reconstruction of Dermoscopy Images using Global Thresholding
Authors:   Research Scholar, Sathyabama Institute of Science and Technology, Assistant Professor, St.Joseph’s College of Engineering, Chennai, India., Chakkaravarthy A.Prabhu , Chandrasekar Dr.A. ,   Department of CSE, St.Joseph’s College of Engineering, Chennai, India.
Published: August 2019

One of the fastest growing cancers in human cell is skin cancer. Initially starts from the outer layer of human body and spreads unevenly all over by increasing in diameter. The formation of skin cancer depends on the weakness of skin cell. To find the perfect diagnosis, dermatologist should use the computational method. The identification of skin cancer is not easy on the first stage by the dermatologist but the computational method describes out perfectly. The proposed work describes in extracting the skin lesion using Otsu Thresholding with inverse discrete 2D wavelet transform. The proposed work initiated by pre-processing is to enhance the image, followed by segmentation to extract skin lesion with decomposition of fore ground and background image and terminates with post processing to extract feature like uneven boundary. The performance measure between proposed segmentation and ground truth image, described with accuracy up to 96.69% for ISIC 2016 dataset.
Applicability of Blockchain Technology in Communication of Data using Raspberry Pi as Server
Authors:   Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, 521230, INDIA., Pavani Kallam Siva Naga Lakshmi , Kumar BVNR Siva ,   Associate Professor, Electronics and Communication Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, 521230, INDIA.
Published: August 2019

The main things we used to build the project in this paper are one raspberry pi as server, two Arduino’s as two nodes which are configured to connect to Wi-Fi using ESP8266 (node mcu). We will connect temperature and humidity sensor to one Arduino and RFID Reader module to another Ardunio Board to demonstrate the entire process. The working follows as the data is taken from DTH sensor and RFID Reader module which is sent to Raspberry Pi. Arduino’s acts as nodes from which data transmission starts. The Raspberry Pi acts as gateway between two Arduino’s and it is the server. All the components are connected to the Wi-Fi. The data from the sensors is taken and will be sent to server in hash, hash includes all the previous data and we already know that block chain is a decentralized network. We cannot manipulate the values of data at any point because of their data contains both previous and local hash. This is why usage of block chain provides more security to IOT devices. Henceforth, we implemented this exceptional way of blockchain technology for communication of data for safety and immense security.
A QoS-Latency Aware Event Stream Processing with Elastic-FaaS
Authors:   Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, INDIA., Kathirvel Jagadheeswaran , Parasuraman Elango ,   Assistant Professor, Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, INDIA
Published: August 2019

Stream processing systems need to be elastically scalable to process and respond the unpredictable massive load spike in real-time with high throughput and low latency. Though the modern cloud technologies can help in elastically provisioning the required computing resources on-the-fly, finding out the right point-in-time varies among systems based on their expected QoS characteristics. The latency sensitivity of the stream processing applications varies based on their nature and pre-set requirements. For few applications, even a little latency in the response will have huge impact, whereas for others the little latency will not have that much impact. For the former ones, the processing systems are expected to be highly available, elastically scalable, and fast enough to perform, whenever there is a spike. The time required to elasticity provision the systems under FaaS is very high, comparing to provisioning the Virtual Machines and Containers. However, the current FaaS systems have some limitations that need to be overcome to handle the unexpected spike in real-time. This paper proposes a new algorithm called Elastic-FaaS on top of the existing FaaS to overcome this QoS latency issue. Our proposed algorithm will provision required number of FaaS container instances than any typical FaaS can provision normally, whenever there is a demand to avoid the latency issue. We have experimented our algorithm with an event stream processing system and the result shows that our proposed Elastic-FaaS algorithm performs better than typical FaaS by improving the throughput that meets the high accuracy and low latency requirements.
Service Quality and Customer Satisfaction: Variation in Customer Perception Across Demographic Profiles in Life Insurance Industry
Authors:   Centre for Professional Enhancement, Lovely Professional University, Phagwara, India., Paposa Sukhvinder Singh , Ukinkar Dr. V.G. ,   Commerce department, Dhanwate National College, Nagpur, India., Paposa Dr. Kamalpreet Kaur ,   Mittal School of Business, Lovely Professional University, Phagwara, India.
Published: August 2019

There is a strong growth potential in the India’s Life Insurance Industry. The annual growth of the industry is estimated at 12 to 15 percent for the upcoming years. This study investigates the impact that service quality has on customer satisfaction in India’s Life Insurance Industry. Moreover, the study attempts to identify the variation in perception of service quality among respondents in relation to demographic profiles. The study also postulates the best approach to evaluate the quality of services in the life insurance industry through an in-depth review of literature on the various model pertaining to the current times to measure service quality. The sample consist of policy holders who receive services from life insurance companies in Durg region, Chhattisgarh. The study employs the various attributes as stated in the SERVPERF model like tangibility, reliability, assurance/safety, empathy, responsiveness along with an additional component of technology to evaluate the perception of policy holders in relation to service quality. Results of the study confirms that quality of services has a significant impact on satisfaction of the customer in life insurance industry. Age and occupation are the two most important demographic variable, which have significant effect on the overall service quality perception. From a managerial perspective, the research work gives a better understanding of how customers assess the service quality and the parameters which the service providers need to take care of while delivering services.
Machine Learning Techniques for Prediction of Parkinson’s Disease using Big Data
Authors:   Department of Information Technology, Kumaraguru College of Technology, Coimbatore, India, Kanagaraj S. , Hema Dr. M.S. ,   Department of Computer Science and Engineering, Aurora’s Scientific Technological and Research Academy, Hyderabad, India, Gupta Dr. M. Nageswara ,   Department of Computer Science and Engineering, Sri Venkateshwara College of Engineering, Bengaluru, India
Published: August 2019

The growth of data in the healthcare industry grows exponentially and the annual growth rate is about 40%, managing this amount of data is challenging task. Big Data architecture and frameworks affords the platform for data storage and processing of massive volume of data in healthcare industry. The paper aims to provide Big Data technologies and Machine Learning algorithms to predict Parkinson’s Disease (PD). The dataset from PPMI are used in the current study and observe the progression of the Parkinson’s Disease. The Movement Disorder Society-Unified Parkinson’s Disease (MDS-UPDRS) features are used for the prediction model. The current study focuses on machine learning algorithms from python libraries such as pandas, ski-kit learn, numpy and matplotlib. The important features obtained are tremor, bradykinesia, facial expression is observed as important features for classification. It is observed that logistic regression and multi class classifier performed with accuracy of 99.04% than the other algorithms such as Naïve Bayes, k-Nearest Neighbor, SVM and Neural Network.
Weather and Stochastic Forecasting Method for Generated Discharge Level Data at Sathanur Dam
Authors:   Research Scholar, Department of Mathematics, VIT, Vellore, Tamilnadu, India., Sathish S. , Babu Dr.SK. Khadar ,   Assist Prof, Department of Mathematics, VIT, Vellore, Tamilnadu, India,, Sundari Dr.C.U. Tripura ,   Assist Prof, Department of Statistics, Pondichery University, Pondichery, India.
Published: August 2019

This article forecasts the future values using stochastic forecasting models for specified fitted values by using downscaling data, which are collected from Sathanoor Dam gauging site. Due to the demand of the water in this current scenario, this study analyzed the perdays Discharge level data collected from Sathanoor Dam where the outcome is predicted in a downscaling data sets in hydrology, extended Thomas –Fiering, ARIMA, MLE models, is used to estimate perdays discharge level data of each month. The error estimates RMSE, MAE of forecasts from above models is compared to identify the most suitable approaches for forecasting trend analysis.
Secure and Authenticated Naming Scheme for IoT Devices in Heterogeneous Networks
Authors:   Research Scholar, Department of ECE, Pondicherry Engineering College, Puducherry, India., C Tamizhselvan. , Vijayalakshmi Dr. V. ,   Associate Professor, Department of ECE, Pondicherry Engineering College, Puducherry, India.
Published: August 2019

Naming the device is the main challenge in IoT and getting authentication from the sensors is possible only with secured naming services. Naming a form of addressing the sensor nodes should be readable or understandable by humans or M2M communications. Existing naming schemes have scalability and security limitations. Hence, this paper proposes an efficient and secure distributed naming scheme for IoT in heterogeneous network. Hyper -Elliptic Curve Diffie - Hellman Key Exchange (HECDH) is used in the naming scheme for the exchange of keys. This technique reduces the communication and computation complexity. The heterogeneous model of the proposed technique is simulated and the analysis has been carried out. Digital Signature (i.e., Private Key) is used to verify the node authencity. Monitoring of the node in the network is implemented using IP based Position monitoring and Intruder Detection system (IDS) is implemented for detecting the attacks. The performance metrics such Energy consumption, PDR, Total Traffic, Delay, Average Response Time and Throughput of the proposed model was simulated using Contiki / Cooja version 2.7 simulator.
Simulating Hybrid Power Plants in Strategic Industrial Areas in Nigeria: Solar PV-Diesel Hybrid for Kano Free Trade Zone
Authors:   Department of Economics and Development Studies, Faculty of Arts and Social Sciences, Federal University - Dutse (Jigawa) Nigeria., Khaleel Ahmad Garba , Dharwal Mridul ,   PhD, Department of Economics & Int’l Business, School of Business Studies, Sharda University, Greater Noida (UP) India.
Published: August 2019

The review the power situation of one of Kano Free Trade Zone, one of the Federal Government of Nigeria’s own Export Processing Zones and simulated a hybrid power plant for the Zone and nearby community. It is found that, the power requirements of the Zone are current provided for through an unreliable Grid and 1MW diesel generator, which is quite expensive and unsatisfactory for a manufacturing site. The paper gathered solar resources information of the site using Global Solar Atlas and use the HOMER Grid optimization feature to simulate the most appropriate capacity to provide the recorded load of the Zone. The simulation proposed four viable systems out of which two are considered and recommended for implementation at the Zone as they provide the opportunity for the Zone to provide itself with renewable power using Grid Tied Solar-PV/Diesel hybrid and even sell more power to the grid, nearby community and installations.
Perioperative ultrasound; Fashion, luxury or necessity!
Authors: Khan Fazal Hameed
Published: August 2019

The technique of ultrasound is not new in medicine. Advancement of the technique, portability of the equipment and the desire of the anesthesiologist to reach to a quick diagnosis has made this an essential tool for today’s anesthesiologist. There are many areas during the perioperative period where ultrasound can play an important role in guiding otherwise blind and invasive interventions, diagnosing critical conditions, and assessing for possible anatomic variations that may lead to plan modification. The irrefutable outcome of perioperative use of ultrasound performed by anesthesiologists is increasingly being acknowledged .It has been playing a role in central venous cannulation, epidural space identification, performing peripheral nerve and chronic pain nerve blocks. Transesophageal echocardiography, airway assessment, gastric ultrasound, lung ultrasound and neuro monitoring are some of the newly introduced uses of this modality. As the ultrasound guidance is becoming standard practice of care, anesthesiologists need to develop a thorough understanding of this technology and practical skills by training themselves.Editor’s Note: This editorial was written by the respected Prof. Fazal H. Khan on our special request to complement a research paper being published in this issue [Soliman AM, Samy MA, Heikal AM, El Ramely MA, Kotb TA. Ultrasound-guided assessment of diaphragmatic thickness as an indicator of successful extubation. Anaesth pain & intensive care 2019;23(2):178-185]Citation: Khan FM. Perioperative ultrasound Fashion, luxury or necessity! Anaesth. pain & intensive care 2019;23(2):115-118
Lumbosacral plexus entrapment syndrome. Part two: Symptomology and rehabilitative trials
Authors: Larsen Kjetil , Chang Chien George C.
Published: August 2019

Background: Lumbosacral plexus entrapment syndrome (LPES) is a little-known but common cause of chronic lumbopelvic and lower extremity pain. The authors document the clinical course of 61 patients who were diagnosed and treated for LPES between May 2016 and October 2018. The study is aimed to evaluate the efficacy of our proposed diagnostic and conservative treatment protocol for LPES, clinically.Methodology: This is a retrospective cohort study of patients suffering from LPES. Patients were included in this study if they compatible symptoms with LPES with symptoms of low back, pelvic, groin, genital, thigh or calf pain after other more common etiologies have been excluded. Additionally, these patients had at least 5 positive provocative Tinel’s tests applied to various lumbopelvic and lower extremity (LPLE) nerve branches yielding => 7 (numeric rating scale) NRS, and weakness of one or more myotomes of the lower body. The group in its entirety was treated with gentle strengthening of the psoas major and piriformis muscles. The primary outcome measure was patient reported satisfaction and improvement including: Full, significant, moderate, slight, or no improvement in pain and symptoms. Patients were followed for up to two years.Results: The most common complaints amongst the patient pool were low back, groin, pelvic, posterior/lateral calf pain. Additionally, 17 patients (28%) stated that everything in the LPLE hurts, consistent with plexalgia. 13 patients were lost to follow-up as they did not reschedule treatment, for unknown reasons. Amongst the remaining 48 patients, 25 recovered fully (52%), 12 significantly (25%), and five moderately (10,4%). Five patients had a slight improvement (10,4%), and two no improvement whatsoever (4%). The average recovery times were mostly consistent with the time of affliction. Patients with a symptom duration of less than one year, generally recovered within 4 months. One to four years, within 10,5 months. Five to nine years, 7,5 months. And, finally, more than 10 years, within 18 months.Conclusion: Non-specific pain syndromes in the LPLE where other causes have been excluded, may be attributable to underlying LPES. In this study, a high correlation between the diagnostic & interventional protocols, and beneficial patient outcomes were demonstrated. However, more statistical and long-term research is needed.Citation: Larsen K, Chien GCC. Lumbosacral plexus entrapment syndrome. Part Two: Symptomology and rehabilitative trials. Anaesth pain & intensiv care 2019;23(2):138-144
A comparative study between levobupivacaine 0.5% plus lignocaine 2% or bupivacaine 0.5% plus lignocaine 2% for peribulbar block in cataract surgery
Authors: Shah Jigna , Bhatt Kajal A.
Published: August 2019

Background and Aim: Local anesthetic techniques are increasingly popular for ophthalmic surgery. Levobupivacaine, the pure S (-) enantiomer of bupivacaine, has strongly emerged as a safer alternative for regional anesthesia than its racemic sibling, bupivacaine. The present Study was performed with an aim to compare between levobupivacaine 0.5% or bupivacaine 0.5% both in a mixture with lignocaine 2% for peribulbar block in cataract surgery.Methodology: In this prospective double blind study, all the patients were randomly divided in two groups, Group B patients received inj bupivacaine 0.5% (5 ml) + lignocaine 2% (5 ml) + hyaluronidase (5 IU/ml), and Group L patients received inj levobupivacaine 0.5% (5 ml) + lignocaine 2% (5 ml) + hyaluronidase (5 IU/ml) for peribulbar block by akinetic technique to provide anesthesia for cataract surgery. The study was conducted for the period of one year. After routine pre anesthetic assessment, a peripheral intravenous (i.v.) line was inserted in 6 hours fasted patient and standard monitoring was conducted and recorded, including heart rate (HR), noninvasive arterial blood pressure (BP), electrocardiogram (5 leads), and peripheral oxygen saturation (SpO2). Motor block was evaluated by assessment of akinesia in four quadrants using general akinesia scoring system. Results: There were no significant difference between groups with respect to the akinesia score (p = 0.24) at 2, 5 and 10 min, the number of supplementary injections (p = 0.83) and initial and total required volume of local anesthetics (p = 0.78 and p = 0.79). There was no significant difference between the groups regarding surgeon and patient satisfaction (p > 0.52). Similarly the verbal rating scales assessed at three different occasions were not significantly different between the groups (p > 0.05). The need for additional intra-operative topical anesthetic was similar between the groups (p = 0.64).Conclusion: Peribulbar block with a mixture of levobupivacaine 0.5% and lignocaine 2% or bupivacaine 0.5% and lignocaine 2% provides similar block quality and efficacy.Citation: Shah J, Bhatt KA. A comparative study between levobupivacaine 0.5% plus lignocaine 2% or bupivacaine 0.5% plus lignocaine 2% for peribulbar block in cataract surgery. Anaesth pain & intensive care 2019;23(2):192-197
Acute pancreatitis in diabetics: a twoyear retrospective study in a tertiary care hospital in Peshawar, Pakistan
Authors: Khan Zubair Ahmad , Baig Khalid Saifullah , Ahmad Zunnoor , Afridi Maryam
Published: August 2019

Introduction: Acute pancreatitis (AP) is an acute inflammatory disease of the pancreas. After diagnosis the initial management is preferably done in intensive care unit along with 4-6 hourly insulin sliding scale monitoring for hyperglycemia. Individuals with type II DM are more prone to develop AP. Glycosylated hemoglobin (HbA1c) reflects the blood glucose levels of over past two months and daily glucose levels do not affect its levels in the blood.Objectives: To find out the frequency of acute pancreatitis in diabetic patients both in type 1 and type 2.Study Design: Cross-sectional, comparative studyMethodology: This was a retrospective cross-sectional, comparative study based on 154 patients with acute pancreatitis in our tertiary care hospital over the duration of two years i.e. from January 2016 to December 2017. The data were entered and coded where necessary and statistically analyzed using SPSS version 20. Descriptive analysis was done to summarize data in the form of percentages and numbers for categorical data while continuous variables were shown by using mean and standard deviation.Results: The mean age was 48.6 year with a standard deviation of 16.9 years, the total cases were 154 for the duration two years from January 2016 to December 2017. Out of 147 patients, 72 (44.4%) were male and 75 (46.3%) were female. Only 13 (8.8%) out of 154 patients were diabetics. Total serum pancreatic lipase and serum pancreatic amylase levels were significantly higher in non-diabetic subjects as compared to diabetics. Also, high serum lipase levels were seen in slightly more females than males.Conclusion: The results of our study documented that the prevalence of acute pancreatitis is more common in non-diabetics as compared to diabetics, and those who were diabetic were between 41 to 60 years of age. We recommend further studies in this area to reach a general agreement on the prevalence of acute pancreatitis and factors affecting its prevalence as well as on the relation of diabetes and severity of acute pancreatitis.Citation: Khan ZA, Baig KS, Ahmad Z, Afridi M. Acute pancreatitis in diabetics: a twoyear retrospective study in a tertiary care hospital in Peshawar, Pakistan. Anaesthesia, pain & intensiv care 2019;23(2):211-216
Failure to Pace
Authors: Choudhury Minati , Irpachi Kalpna
Published: August 2019

4 month old female child diagnosed a case of long QT syndrome with recurrent polymorphic ventricular tachycardia (VT) storm with moderate left ventricular (LV) dysfunction with status epilepticus presented with recurrent seizures in an emergency. Patient was intubated and put on mechanical ventilation. Recurrent seizures subsided with intravenous midazolam and anticonvulsants.  In view of unstable rhythm, recurrent polymorphic VT storm and unstable haemodynamic, patient required antiarrhythmic agents such as flecainide and multiple inotropic supports. There was frequent pause dependent VT hence it was decided to put on permanent pacemaker. A repeated pacing attempt failed and on table plan for cardiac sympathectomy was made. However, the parents refused for the later. The patient left back with her own rhythm and parents are prognosticated.
Echocardiography: An everyday tool in intensive care
Authors: Fuad Bangash Muhammad
Published: August 2019

It was a cold December night in Minneapolis, Minnesota. I was in ICU taking care of a patient, Mr. David, who had had a cardiac arrest at home, underwent CPR and was now on mechanical ventilation. He had been subjected to ‘Mild Induced Hypothermia’ protocol. The patient did well and after re-warming to normal temperature, he was weaned off sedation and mechanical ventilation. He was able to talk and move all his extremities. This is what we hope for in every patient after a cardiac arrest with appropriate medical care and latest technology. Patients get a second lease on life and their loved ones are able to look into their eyes and hold their hands. David’s wife Mary was so happy to see him come around after she had witnessed him undergoing CPR.
Masalah Pergaulan Bebas dalam Kalangan Remaja Sekolah
Authors: Nur Najwa Solehah Binti Hasan Ashaari
Published: August 2019

Pergaulan bebas merupakan salah satu penyakit yang melanda umat pada masa kini. Pada zaman pasca modenisasi ini, pergaulan bebas tidak lagi menjadi kudis kepada pandangan masyarakat. Selain itu, masalah pergaulan bebas ini sering menular kerana kurangnya didikan agama. Remaja bergaul bebas tanpa mengira jantina menyebabkan generasi muda yang melihatnya terpengaruh serta memberi impak negative. Oleh kerana itu, perlu dilakukan kajian mengenai masalah pergaulan bebas dalam kalangan remaja sekolah. Metodologi kajian meliputi cara, kaedah dan pendekatan yang digunakan untuk mencapai objektif dan matlamat kajian. Kesimpulan kajian ini iaitu golongan dikenali sebagai remaja ini merupakan seseorang yang berada dalam lingkungan umur 12 hingga 21 tahun yang sedang berada di dalam fasa peralihan dimana berlakunya perubahan menuju kematangan. Masalah pergaulan bebas boleh dibendung jika semua pihak termasuk agensi kerajaan atau bukan kerajaan bersama-sama berganding bahu membanteras masalah ini. Pihak utama yang perlu mengesan perkara ini ialah ibu bapa, sekolah, dan lingkungan masyarakat.
Solving Rich Vehicle Routing Problem Using Three Steps Heuristic
Authors: Editor
Published: August 2019

Vehicle Routing Problem (VRP) relates to the problem of providing optimum service with a fleet of vehicles to customers. It is a combinatorial optimization problem. The objective is usually to maximize the profit of the operation. However, for public transportation owned and operated by the government, accessibility takes priority over profitability. Accessibility usually reduces profit, while increasing profit tends to reduce accessibility. In this research, we look at how accessibility can be increased without penalizing the profitability. This requires the determination of routes with minimum fuel consumption, the maximum number of ports of call and maximum load factor satisfying a number of pre-determined constraints: hard and soft constraints. To solve this problem, we propose a heuristic algorithm. The results from this experiment show that the algorithm proposed has better performance compared to the partitioning set.
Sistem Pendukung Keputusan Pemilihan Guru Terbaik di SMK Pustek Serpong Dengan Menggunakan Metode TOPSIS
Authors: Fitri Duwiyanti
Published: August 2019

Dalam upaya meningkatkan mutu pendidikan untuk para siswa sebagai generasi penerus bangsa dibutuhkan guru yang berkompeten dalam memberikan pendidikan kepada siswa. Sistem Pendukung Keputusan di dunia Pendidikan dipandang sebagai aset penting untuk menunjang kelancaran dan keakuratan dalam pencapaian suatu tujuan. SMK Pustek Serpong belum memiliki sistem pendukung keputusan untuk membantu Kepala Sekolah dalam melakukan pemilihan guru terbaik, pengambilan keputusan secara manual akan menghasilkan penilaian yang tidak objektif sehingga tidak tepat. Oleh karena itu, penggunaan metode TOPSIS dapat bermanfaat dalam mendukung sistem pengambilan keputusan dikarenakan metode ini dapat mendukung penilaian kriteria seperti absensi, perilaku, disiplin, kemampuan mengajar dan tanggungjawab guru serta pembobotan nilai. TOPSIS adalah salah satu metode pengambilan keputusan multikriteria. TOPSIS menggunakan prinsip bahwa alternatif terpilih harus mempunyai jarak terdekat dari solusi ideal positif dan jarak terpanjang dari solusi ideal negatif untuk menentukan kedekatan relatif dari suatu alternatif dengan solusi optimal. Hasil yang dicapai dari sistem pendukung keputusan ini adalah sistem ini terbukti dapat membantu SMK Pustek Serpong dalam melakukan pemilihan guru terbaik, penerapan metode TOPSIS terbukti dapat membantu Kepala Sekolah dalam pengambilan keputusan pemilihan guru terbaik.
Faktor yang Mempengaruhi Akseptor dalam Memilih Alat Kontrasepsi Suntik
Authors: Hasnani Fenti Hasnani
Published: August 2019

Abstract

Non-specific low back pain is the symptom of lower back pain that occurs without an obvious cause, the diagnosis is based on exclusion of specific pathology. Non-specific low back pain can result in pain, muscle spasm and muscle imbalance, it can decrease the stability of the abdominals and lower back, limitation in lumbar mobility , changes posture, and it’s couse make disability in patients with non-specific low back pain. Exercise therapy for non-specific low back pain is high recommend to increased stability and correct posture of the spine. The purpose of this study is to determine the effect of McKenzie Exercise to reduce patient disability in non-specific low back pain.

Method: This research applied pre experimental research method with one group Pre and Post Test Design. The research was conducted in Dr Soeradji Tirtonegoro hospital Klaten. There were 16 subjects taken for this research. Disability was measured by oswestry disability index (ODI) before and after treatment. Subject get Mckenzie exercise with the frequens are 2 times a weak in a month

Result: Statistical test results obtained, have a decline ODI score at the McKenzie Exercise have done with a value of p = 0.000. This means that Mckenzie excercise can reduce patients disability in non-specific low back pain.

Keywords: McKenzie exercises, disability, non-specific low back pain, oswestry disability index.
Mckenzie Excercise dalam Penurunan Disabilitas Pasien Non-Specific Low Back Pain
Authors: Kurniawan Ganesa Puput Dinda
Published: August 2019

Non-specific low back pain merupakan gejala nyeri pinggang bawah yang terjadi tanpa penyebab yang jelas, diagnosisnya berdasarkan eklusi dari patologi spesifik. Non-specific low back pain dapat mengakibatkan nyeri, spasme otot dan imbalance muscle, sehingga stabilitas otot perut dan punggung bawah mengalami penurunan, mobilitas lumbal terbatas, perubahan postur, dan mengakibatkan disabilitas pada pasien non-specific low back pain. Pemberian terapi latihan pada kasus non-specific low back pain sangat dianjurkan untuk peningkatan stabilitas dan koreksi postur pada tulang belakang, terapi latihan ini bisa berupa McKenzie exercise. Tujuan penelitian ini untuk mengetahui pengaruh mckenzie excercise dalam penurunan disabilitas pasien non-specific low back pain.

Jenis penelitian ini merupakan penelitian pre eksperimental dengan mengunakan rancangan one group pre and post test design. Penelitian dilaksanakan di RSUP Dr Soeradji Tirtonegoro Klaten. Subjek sebanyak 16 pasien yang memenuhi kriteria yang ditetapkan peneliti. Disabilitas diukur dengan oswestry disability index (ODI) sebelum dan sesudah pelatihan. Subjek diberikan mckenzie excercise dengan frekuensi 2 kali semingu selama 1 bulan.

Hasil uji statistik didapatkan, terjadi penurunan skor ODI pada pemberian mckenzie excercise dengan nilai p=0,000. Ini berarti mckenzie excercise dapat menurunkan disabilitas pada pasien non-specific low back pain.
Identification of chicken liver and bovine liver via novel tissue quantitative
parameter
Authors: Hewadikaram Dulitha K. , Perera Hasith E. , Wickramrathna Deshitha C. , Bandara Mudhitha , Pattivedana Amal N. , Jayaweera Hiran H.E. , Wansapura Janaka P.
Published: August 2019

Frequency dependence of the tissue backscatters provides useful information about the tissue structure. Further, it has been found that structure of tissue changes due to different diseases and these alterations cause observable changes in acoustic scattering properties. Several parameters have been developed to identify these alterations and tissue identification. This study has introduced a new tissue characterization parameter, which is Full width at half maximum (FWHM) of the fitted Gaussian curve of the Fast furrier transformed back scattered signal and it has been used to identify two different tissue samples; bovine liver and chicken liver. The experiment was carried out for nine bovines and nine chicken livers and FWHM of the chicken liver 3.72±0.16 was greater than
that of bovine liver 3.28±0.16 (p=2.91E-05). Hence, it can be concluded that the bovine liver and the chicken liver can be differentiate using the FWHM parameter.
La evaluación de los aprendizajes: un marco de referencia para su reflexión y aplicación
Authors: Vera Rojas Mirella del Pilar , González Sánchez Evelio C , Vera Rojas Luis Antonio , Chávez Arias Segundo
Published: August 2019

La práctica de la evaluación de aprendizajes en las instituciones educativas, dista mucho de sus postulados y principios teóricos. Vista de este modo, se convierte en una amenaza y no en una fortaleza en el proceso de enseñanza y de aprendizaje, erróneamente es considerada por muchos como la parte final y no como el inicio de todo proceso educativo y pedagógico que promueve cambio y transformación. El artículo expone los diferentes paradigmas que en el área de la evaluación de los aprendizajes se desarrollaron en el transcurso de la segunda mitad del siglo pasado y los comienzos del actual; entre los que se destacan: el paradigma psicométrico o cuantitativo; el paradigma cualitativo, psicosocial o comunicativo, y el paradigma cuanti-cualitativo, donde se deja clara la intención de la utilización de cada uno de ellos en el proceso de enseñanza y de aprendizaje.