bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel Robotic Arm Design for Small Scale Industries Using myRIO
Authors: Srilatha M. , Hemalatha R.
Published: July 2019

In small-scale industries, under extreme working conditions, personnel are frequently involved in lifting and carrying raw materials, which is hazardous at times. Robot, a machine with intelligence can perform the same task with the help of control instructions fed by computer or remote control. Technological development in the area of robotics made it possible to design robotic arm with the same degree of precision as a replacement to the human intervention. This will introduce automation in small-scale industries, which saves time, reduces human effort and expenditure in production. Further, this will be a starting point for complete automation of entire process, which can be expensive and complicated. NI LabVIEW along with NI-myRIO can provide a better solution in designing a more precise and accurate robot in a very low cost, which is affordable by small-scale industries. NI-myRIO is used to generate and acquire signals for controlling and processing. Further it has an inbuilt processor and FPGA which has many reconfigurable analogue and digital features.
Implementation of Transceiver module for SDR system using ADALM PLUTO platform
Authors: P. Sowjanya. , P. Satyanarayana
Published: July 2019

Software Defined Radio (SDR) provides a comprehensive radio communication platform, based on which new technology can be used through software update. This leads to a large-scale reduction in expansion costs and enables the product to maintain technology development. The SDR platform can be set up with an open, standard, and programmable hardware platform, based on which the functions of the radio can be perceived by adding appropriate software modules. In this platform, the transformation and expansion of the radio functions are done in a software version without the need for a modification of the equipment. Such software radio station can easily communicate with the current or upcoming radio stations. In this article, we analyze SDR evolution and various platforms and implement various modulation techniques with the aim of successfully transferring a message wirelessly over-the-air using ADALM-PLUTO SDR platform by Analog Devices.
A Novel User Interface for Text Dependent Human Voice Recognition System
Authors: P Ramadevi , . .
Published: July 2019

In an effort to provide a more efficient representation of the speech signal, the application of the wavelet analysis is considered. This research presents an effective and robust method for extracting features for speech processing. Here, we proposed a novel user interface for Text Dependent Human Voice Recognition (TD-HVR) system. The proposed HVR model utilizes decimated bi-orthogonal wavelet transform (DBT) approach to extract the low level features from the given input voice signal, then the noise elimination will be done by band pass filtering followed by normalization for better quality of a voice signal and finally the formants of a train and test voices will be calculated by using the Additive Prognostication (AP) algorithm. Simulation results have been compared with the existing HVR schemes, and shown that the proposed user interface system has performed superior to the conventional HVR systems with an accuracy rate of approximately 99 %.
Comparison of hard limiting and soft computing methods for predicting software effort estimation: In reference to Small Scale Visualization Projects
Authors: M Kiran Kumar T. , A. Jayaram M.
Published: July 2019

It is a well known fact that software effort estimation is exceptionally critical in every software industry, particular during the development of projects. It is hard to estimate the parameters involved due to ambiguity and uncertainty associated with the parameters. It is exactly here the hard limiting techniques, soft computing techniques comes to play. In this unique circumstance, this paper, presents an attempt to that compare the two paradigms for effort estimation. For this, we have considered fifty real time small visualization projects thrive by post graduate students.  The prototype development involves following stages:         i)            Elicitation of seven novel parameters namely Lines of Code, Cumulative Grade Point Average, New and changed code, Reused code, Cyclomatic Complexity, Algorithmic Complexity and Functional Points.       ii)            Developing of hard limiting methods and soft computing methods for prediction of software effort involved in terms of duration in minutes.For the validation of the models error metrics namely: Mean Absolute Error (MAE), Mean Magnitude of Relative Error (MMRE), Mean of Magnitude of error Relative to the Estimate (MMER) and Root Mean Square Error (RMSE) have been used. The result showed that the models compared very well with marginal difference in terms of predict values of error matrix.
Invariant Hand Gesture Recognition System
Authors: N. Balaji G. , V. Suryanarayana S. , Veeramani C.
Published: July 2019

Hand gesture recognition plays a vital role in numerous applications, which can run from mobile phones to 3D analysis of anatomy and from gaming to medicinal science. In a large portion of research applications and current business hand gestures recognition, has been implemented by utilizing either vision based or sensor-based gloves strategies where hues, paperclips of synthetic substances are used on to capture the gestures. Another essential issue associated with vision-based procedures is illuminated conditions. The threshold used for the segmentation is changed based on the light variations. A system is proposed in this paper, which extracts the gesture part from the hand image by preprocessing, followed by extraction of orientation histogram based feature is done. Further, in order to recognize the gestures, the extracted HOG feature vectors are provide for support vector machine (SVM). The proposed system is tested with 84 images and it outperforms with an accuracy of 94.04%.
Procurement Interaction Minimize Test Arrangement Formation of Software Testing Using Cuckoo Search Methods
Authors: Anandam Velagandula Dr. , Buddha  Reddy P. , Hanuman Reddy N. , Srikanth Reddy G. , Anil Ch
Published: July 2019

As of late number of meta based heuristic algorithms are suggested to fill in as the premise of test era technique (where shows the interaction strength) embracing  with Simulated Annealing (SA), Ant Colony Optimization (ACO), Cuckoo Search (CS), Genetic Algorithms (GA), Harmony Search (HS) and Particle Swarm Optimization (PSO). Albeit helpful methodologies are requiring particular area learning so as to permit successful tuning before great quality arrangements can be gotten. The multi-target molecule swarm optimization, and multithreading is utilized to overwhelm the compound judgement criteria for an ideal arrangement. The procedure and its related algorithms are assessed broadly utilizing diverse benchmarks and examinations. In our proposed technique test cases are advanced by utilizing Particle Swarm Optimization algorithm (PSO). At that point the streamlined test cases are organized by utilizing to enhanced Cuckoo Search algorithm (ECSA). As the quantity of inserted systems increments quickly, there has been developing interest for the utilization of Service Oriented Architecture (SOA) for some requests. At last, the enhanced outcome will be assessed by programming quality measures.
Network Efficiency Amendment Utilizing Cloud Radio Access Network In Mobile Communications
Authors: P Karthikala. , C.Arunachala Perumal Dr. , M.Ramya Ms.
Published: July 2019

Mobile data traffic is finding exponential growth currently in telecommunications industry. It has become important to concentrate on both spectral and energy efficiencies in utilizing cellular networks under green communication standpoint. Thus, for 5G the utmost priority is that to increase data traffic and reduce the total network energy ingesting by half. The proposed work is to design the Cloud Radio Access Network (C-RAN) with energy efficient, flexible and capacity-enhanced features by effectively bundling and establishing relation between BBU and RRU utilizing Catechistic technique. Mathematical results with realistic parameters prove that the projected optimization design clearly improve the energy efficiency of C-RAN’s compared to standard schemes.
Differentiation of Natural and Maliciously Induced Packet Loss in Wireless Network Using Forensic Analysis
Authors: N Karthikeyan , Ponsam J Godwin
Published: July 2019

Wireless networks are prone to packet loss making it strenuous to  differentiate if data leakage is due to the physical nature of wireless networks or from malicious packet loss.All previous experiments were made on utilizing nodes which are part of network to monitor packet loss , a method deployed in passive detection.Due to high levels of interference the likelihood of classifying malicious packet loss from wireless induced packet loss is less probable.In this paper using certain transmission parameters like traffic intensity ,node density and transmission evidence we perform forensic analysis. By using an analytical framework we compute the transmission evidence.We validate our analytical framework via both simulation and wireless test-beds.The analytical framework is then used as a basis for a protocol within a forensic analyser to assess the cause of packet loss and determining the likelihood of forwarding misbehaviours.
Checksec Email Phishi Trasher Tool
Authors: B Manoj , C Fancy
Published: July 2019

In this faster networking world, Phishing has become the most popular practice among the criminals of the web. Various phishing types are deceptive, spear phishing, Email phishing, malware-based phishing, key loggers, session hijacking, man in middle, Trojan, DNS poisoning, cross-site scripting attacks. There is a need for automated tools to solve the problem by the victim side. Existing methods are regularly too tedious to be utilized in reality as far as recognition and relief session. Hence it is decided to propose a model which focuses on detecting and preventing the email phishing attack. In this paper, we present PhishiTrasher, another discovery and relief approach, where we initially propose another system for Deep Packet Inspection afterward use in phishing exercises through email and electronic correspondence. The proposed packet inspection approach comprises parts, vulnerable mark arrangement then continuous DPI. With the help of the phishing assault marks, outline the continuous DPI with the goal that PhishiTrasher can adapt to address the elements of phishing assaults in reality. PhishiTrasher gives better system movement administration to containing phishing assaults since it has the worldwide perspective of a system. Moreover, we assess PhishiTrasher utilizing a true test bed condition and databases comprising of genuine email with installed joins. Our broad test contemplate demonstrates that PhishiTrasher gives a powerful and effective answer for prevent phishing attacks through email. Results demonstrate that profiling should be possible with very high genuine.
An Overview of Digital Video Tampering Detection Using Passive Methods and D-Hash Algorithm
Authors: Crescentia.A Anto , G Sujatha.
Published: July 2019

Video tampering and integrity detection can be defined as methods of alteration of the contents of the video which will enable it to hide objects, an occasion or adjust the importance passed on by the collection of images in the video. Modification of video contents is growing rapidly due to the expansion of the video procurement gadgets and great video altering programming devices. Subsequently verification of video files is transforming into something very vital. Video integrity verification aims to search out the hints of altering and subsequently asses the realness and uprightness of the video. These strategies might be ordered into active and passive techniques. Therefore our area of concern in this paper is to present our views on different passive video tampering detection strategies and integrity check. Passive video tampering identification strategies are grouped into consequent three classifications depending on the type of counterfeiting as: Detection of double or multiple compressed videos, Region altering recognition and Video inter-frame forgery detection. So as to detect the tampering of the video, it is split into frames and hash is generated for a group of frames referred to as Group of Pictures. This hash value is verified by the receiver to detect tampering.
Torque and Flux Ripple Minimization of Induction Motor Using Hybrid Neuro Fuzzy Controller
Authors: Sakthi V. , Sivasubramanian A.
Published: July 2019

This paper proposed to design, implementation and simulation of Direct Torque Control of Induction Motor drive system is to minimize stator current distortion, electromagnetic torque and flux ripples. In this paper, Hybrid Neuro-Fuzzy Controller is proposed to replace the conventional PI torque and flux controller to achieve desired torque and flux with zero steady state error and also with good dynamic fast response. Neuro-Fuzzy based torque and flux controllers are designed to optimize the stator voltages in d-q reference frame that applied to Direct Torque Control. Simulation and the performance of the proposed Hybrid NFC are analyzed. Simulation results showed that a significant improvement in dynamic torque and speed response in both steady and transient states and also a considerable reduction in torque and flux minimization compared to the other AI techniques.
Cross Layer Design based Hybrid Error Control for Packet Aggregation over WSN
Authors: S Lakshmi. , Selvakumar raja.S Dr.
Published: July 2019

In general sensor networks have a wide range of application and also play a major role in developing precision and timely information. Mostly it deals with real world applications and in many cases the data sensed by the nodes should deliver within the time constriction. Meeting the deadlines is mandate for the applications and the data should be processed as soon as possible and without major data losses. The objective of this scheme is to collect data with high accuracy and low latency. Collecting and processing the data by means of aggregation will greatly reduce the congestion data rate. Cross Layer Design based Hybrid Error Control (CLDHEC) mechanism is proposed for reducing error rate occurred in sensor network which includes formation of network, data aggregation and transmission. Error control technique named Adaptive Forward Error Correction is used to defend the video transmission by recovering source information losses. FEC mechanism along with packet range control greatly increases the FEC efficiency in wireless networks. The service quality for different kind of data can be improved by lessening error rate using adaptive error control mechanism with cross layered design during packet aggregation.
Asset Management Security System Using RFID Technology
Authors: Rakshit Soumyasanta , S. S. Sridhar Dr.
Published: July 2019

Using radio wave or radio frequency scanners to identify wirelessly any object is not so much complex in reality. The latest version of this technology is known as radio frequency identification or RFID. RFID has three building blocks: small tags built around microchips that carry a digital identification code; The RFID scanners also known as readers, the readers are also known as interrogators and networking hardware and the software to link scanners to the main computer databases that can be in hardware or cloud storage. In this project, we describe the implementation of RFID technology in the platform of asset management system in an organization. Using RFID technology track the all of the assets is the main aim of the project. The RFID interrogators open a serial port and then reads a RFID tag to use it as a unique parameter in the database to access and show the record associated to the RFID chip. Any change is wirelessly synchronized to the main database server.An admin will look after the whole server as an administration. If any new asset is introduced which is not in the main database, when the RFID scanner detects that the admin will get a notification message also in anyway if any asset will tamper by anything or anyone or if someone will try to steal any asset then again, the admin will get a notification message instantly.
Blockchain and Smart Contract for Digital Document Verification
Authors: Sunitha kumari S. , Saveetha D.
Published: July 2019

Every year lakhs of students graduating from different university, after passing from university different students have different plans. All students who graduated will have different certificate such as marksheets, degree certificate, best performance certificate and etc. Some students have plans to get employed in companies or to do higher studies. Wherever students go they need submit the certificate for important reference. Due to lack of anti-forge mechanism some started to forge the certificate to get the employed or for further steps. In the digital certificate verification based on blockchain done only for the degree certificates. In the proposing system along with the degree certificate entire personality and behaviour activities of the person using personal id will be uploaded in blockchain. Because of unmodifiable property it is stored in block chain. Initially the student request for the e-certificate by uploading certificate or personal id to electronic certificate system. If requesting for e-cert then the system will review certificate from the university or schools or from organization and get the assurance and store the serial number and e-certificate to the block chain. The system will be generating the QR code and send it to the user. when applying for company user will send only the certificate serial number and QR code received from the e-certificate company.
Blockchain Based Aadhaar Security
Authors: P.J Sankaranarayanan , George Geogen
Published: July 2019

A blockchain is a decentralized, disseminated and digital ledger that can’t be altered retroactively without modifying every single blocks and the consensus of the network. Blockchain can be used in smart contracts, Banks, IoT devices, Database management, etc., Due to recent times flaws and leakage of Aadhaar information (Aadhaar which is the largest government databases of the Indian citizens) in Internet the security and privacy of Aadhaar became questionable. In order to ensure the security of Aadhaar, Blockchain has the potential to overcome security and privacy challenges in Aadhaar. In this project we are going to create a Blockchain for Aadhaar database and implement light weight algorithm for efficiency, optimization and scalability along with the Blockchain securing algorithm.
A Neural Network Based Hybrid Approach for Analysing and Detecting Malware Threat in Android Applications
Authors: Suresh Hetal , Raymond V Joseph
Published: July 2019

Mobile phones has become very integral part in our day to day life. In the digitalized world most of our day to day activities rely on mobile phone like banking activities, wallet payments, credentials, social accounts etc. Our system works in such a way that if there is an advantage to a technology there also exists a disadvantage. Every users have all their private and sensitive data in their mobile phones and download random applications from different platforms like play store, App store etc. There is a huge possibility that the applications downloaded are malicious applications. The existing system provides a solution for detection of such applications with the help of antivirus which has pre-built signatures that can be used to obtain an already existing malware which can be modified and manipulated by the hacker if they tend to do so. In this project, our purpose is to identify the malicious applications using Machine learning. By combining both static analysis and dynamic analysis we can use a Hybrid approach for analysing and detecting malware threats in android applications using Recurrent Neural Network (RNN). The main aim of this project will be to ensure that the application installed is benign, if it is not, it should block such applications and notify the user.
Religious Community Harmony In Hadith Perspective
Authors: Tsaniyah Naimatus
Published: July 2019

The study of religious harmony is essential as religious sentiments often lead to conflict of tension. Not only in Indonesia, but also in other parts of the world, although social, political, economic factors are quite coloring, but religion cannot be denied its role in social conflict. This is meanly related to the lack of tolerance towards other faiths. Among the way to create religious harmony is to examine the framework of Islamic epistemology analysis on the basis of religious harmony. Islamic epistemology believes in the source of the truth of revelation, reason, empirical, and intuition. The methods and tools used in the search of truth are the guidance of revelation, reason, empirical, and intuition. The Theological basis examined in this study is derived from The Hadiths of The Prophet Muhammad that are relevant with religious harmony. This study is included in the literature study category with primary data taken from the books of hadiths and supported by secondary data from various books that examine the religious harmony. Islamic epistemology is used as an analytical blade of foundation for exploring sources of truth which are related to the foundations of religious harmony in the hadiths of the Prophet Muhammad which later expected to grow awareness to respect each other. This step is expected to be one of intersection that bridges the realization of religious harmony, especially in Indonesia.
Genealogi Semiotis Term Sunah Dan Bidah: Dari Syariat Hingga Ideo-Politis
Authors: Firdausy Hilmy
Published: July 2019

This paper wants to emphasize that the ongoing debate around the term Sunnah and Bid’ah today is ideological, even political dissension. They two no longer reflect the pattern or Islamic syariah knot. Since it was mentioned by the Prophet Muhammad in his traditions, due to external encouragement and the dynamics of the problem of Muslims, this two terms have experienced an acute swelling of meaning. Based on that, through this paper I will try to track and objectify the terms of the Sunnah and Bid’ah which are already blurred and full of dust. By returning to the beginning of its appearance in the hadith, we can find the core of the real meaning of the concept of Sunnah and Bid’ah as well as the context and purpose contained in it before it is torn apart by many factors in the history of Muslim civilization.
Signifikansi Hadis-Hadis Memanah Dalam Tinjauan Teori Ma’na-Cum-Maghza
Authors: Syachrofi Muhammad
Published: July 2019

Tulisan ini bertujuan untuk menggali signifikansi hadis-hadis tentang anjuran memanah, di mana saat ini kebanyakan orang memahaminya sebagai sunah normatif. Teori yang penulis gunakan adalah teori ma’na-cum-maghza, yaitu teori interpretasi yang menyeimbangkan antara pembacaan makna literal (al-ma’na al-ashli) dan pesan utama (al-maghza). Berdasarkan aplikasi dari teori tersebut didapatkan hasil bahwa makna literal (al-ma’na) hadis-hadis tentang memanah merupakan anjuran Nabi yang bersifat targhib (motivasi) untuk para sahabat agar selalu latihan memanah sebagai upaya mempersiapkan kekuatan untuk memerangi orang-orang non-muslim yang memusuhi umat Islam saat itu. Sedangkan pesan utama (signifikansi; maghza) hadis-hadis tersebut adalah menganjurkan umat Islam untuk membangun kekuatan yang mampu mengatasi musuh-musuh umat Islam sesuai konteksnya. Dalam konteks sekarang musuh umat Islam adalah kemiskinan dan kebodohan, maka senjata yang paling efektif untuk memberantaskannya adalah pendidikan dan ilmu pengetahuan.
La Alta Inspección en educación: Un servicio desconocido del sistema educativo español
Authors: Álvarez-Álvarez Carmen , Rodríguez-Bravo Marcos Francisco , Camacho-Prats Alexandre
Published: July 2019

La inspección en los centros educativos se realiza a través del servicio de Inspección Educativa dependiente de las comunidades autónomas, las cuales tienen plenas competencias en materia de control, supervisión, asesoramiento y evaluación. No obstante, las distintas leyes de Educación que han regido nuestro sistema educativo, recogen la existencia de una Alta Inspección en Educación, un servicio, dependiente del Ministerio de Educación, Cultura y Deporte y cuyas competencias están explicitas en nuestra actual ley educativa. En este artículo recogemos un estudio exploratorio sobre la situación actual de la Alta Inspección en España mediante entrevistas con informantes-clave, cuya finalidad es conocer el procedimiento de acceso para desempeñar las funciones que tiene encomendada la Alta Inspección, sus competencias reales y su coordinación con la Inspección educativa autonómica. Los resultados muestran que las competencias de control de este servicio son reducidas, además de comprobar que sus funciones se limitan a informar al Ministerio sobre elementos de las normativas autonómicas que pueden contravenir la normativa básica, la toma de decisiones acerca de la homologación y expedición de títulos, amén de otras competencias estatales no trasferidas. Concluimos que la Alta Inspección es un servicio que desarrolla numerosas funciones relacionadas con la información o comprobación, que en la actualidad, salvo excepciones, no están ejerciendo esos puestos personal inspector y que es un servicio desconocido para muchos, además de tener una denominación que genera confusión.
Políticas públicas de educação do campo: Revisão sistemática das publicações brasileiras
Authors: Silva Giuliano Alves Borges e , Louredo Fernanda de Souza Gusmão , Da Costa Frederico José Lustosa
Published: July 2019

Esta pesquisa objetivou investigar as características das publicações contemporâneas sobre políticas públicas de educação do campo, o que permitiu monitorar os avanços científicos da área e os assuntos abordados pela academia em periódicos brasileiros. Para tanto, utilizou-se de revisão sistemática de literatura na base de dados “Periódicos Capes” através dos descritores “educação do campo” e “políticas públicas”, com data “2009/2017”. Os critérios para inclusão na análise foram metodologia claramente definida e possibilidade de enquadramento temático. Ao todo, 93 trabalhos foram analisados, 52 selecionados para análise descritiva geral e 10 discutidos em profundidade. Constatou-se a predominância de estudos de natureza qualitativa, de caráter empírico e a tendência temática de maior representação foi a “trajetória e contexto regional ou microlocalizado”, com 16 (31%) artigos estudados. Assim, foi possível verificar uma forte tendência para a publicação de artigos que esclareçam fenômenos contemporâneos aplicados à realidade do cidadão do campo.
Factors affecting treatment preferences of chronic pain patients in primary care and current treatment options in chronic pain
Authors: Baltaoğlu Alp Hayriye
Published: July 2019

Research problem/aim: In a multicenter study of the World Health Organization, 22% of patients who applied to primary health care centers reported that their pain continued for 6 months. Multidisciplinary approach and empathy are important for patients with chronic pain. 20% of first-line outpatient referrals consist of chronic painful cases. When the analgesics are used correctly in the treatment of pain, sufficient pain control can be achieved in 85%. Non-steroidal and steroid analgesics may present with high doses of gastrointestinal side effects. Method: The sociodemographic characteristics of the participants were recorded on the forms prepared by the researchers. Finding: The mean age of the patients was 58.62 ± 10.72.Pain was found to affect sleep. (* p <0.05) Conclusion: The patient sector, which is far from rational drug use, can cause great harm to the country's economy. With the extensive studies to be carried out, the treatment method of the patients and the reasons why they prefer. It will be helpful for the chronic pain patients to get the right information from their doctors about the treatment options. For this reason, family physicians should be equipped with up-to-date information about all methods used in chronic pain treatment. Extended English summary is in the end of Full Text PDF (TURKISH) file.   Özet Araştırma problem/amaç: Dünya Sağlık Örgütünün çok merkezli yapılan bir araştırmasında birinci basamak sağlık merkezlerine başvuran hastaların %22’sinde ağrılarının 6 aydır devam ettiği belirtilmektedir. Kronik ağrısı olan hastalara multidispliner yaklaşım ve empati önemlidir. Birinci basamak poliklinik başvurularının %20’si kronik ağrılı olgulardan oluşmaktadır. Ağrı tedavisinde analjezikler doğru kullanıldığında %85’inde yeterli ağrı kontrolü sağlanabilmektedir. Non-steroid ve steroid analjezikler yüksek dozlarda gastrointestinal yan etkilerle karşımıza çıkabilmektedir. Metot: Katılımcıların sosyodemografik özellikleri araştırmacılar tarafından önceden hazırlanan formlara kaydedildi. Bulgular: Çalışmaya katılan hastaların ortalama yaşları 58.62±10.72 olarak tespit edildi. Ağrının uykuyu etkilediği bulunmuştur.(* p<0,05) Sonuçlar: Akılcı ilaç kullanımından uzak hasta kesimi ülke ekonomisine büyük zararlar verebilmektedir. Yapılacak geniş kapsamlı çalışmalar ile hastaların hangi tedavi yöntemini, neden tercih ettikleri konusu daha açığa kavuşacaktır. Kronik ağrı hastalarının tedavi seçenekleri hakkında doktorlarından doğru bilgi alması kendisine en uygun yöntemi seçmesi konusunda yol gösterici olacaktır. Bunun için de aile hekimlerinin kronik ağrı sağaltımında kullanılan tüm yöntemler hakkında güncel bilgilerle donanımlı olması gerekmektedir.
The Relationship between the Interest in Poetry and the Degree of Sensivity: A Primary Study of Sample of Khorasan-Iran Students
Authors: Moqaddam Reza Naqavi
Published: July 2019

This study attempts to find a relation between the amount of interest in poetry and the degree of sensitivity, especially among the college students. If a positive correlation can be found, scholars and teachers may be able to offer students with weak perception of the environment, poetry reading. Dr. Elaine N. Aron’s questionnaire, Highly Sensitive Person Scale 2007, was the tool of this paper to evaluate the hypersensitivity of students, the results of which were tested correlation with a number of five questions that was added to the original questionnaire. The added questions were to demonstrate the students’ interest or disinterest toward poetry, and through Pearson Product-Moment Correlation Coefficient and independent Samples T-Test it became possible to calculate the correlation of sensitivity tests and the interest in poetry. The results answered research questions, and it was found that except the question number five, there was no significant relationship between sensitivity and the other variables. However, the question number five which showed a positive relationship between sensitivity and the amount of empathetic understanding of those who are interested in poetry, could indicate a meaningful correlation by reminding that empathy is an equivalence of unconscious admittance
Doubly transitive dimensional dual hyperovals: universal covers and non-bilinear examples
Authors: Dempwolff Ulrich
Published: July 2019

By [4] a doubly transitive, non-solvable dimensional dual hyperovalDis isomorphic either to the Mathieu dual hyperoval or to a quotient of a Huybrechts dual hyperoval. In order to determine all doubly transitive dimensional dual hyperovals, it remains to classify the solvable ones, and this paper is a contribution to this problem. A doubly transitive, solvable dimensional dual hyperovalDof ranknis defined over 𝔽2and has an automorphism of the formES, whereEis elementary abelian of order 2nandS≤ Γ L(1, 2n); see Yoshiara [12]. The known examplesDare bilinear. In [1] thebilinear, doubly transitive, solvable dimensional dual hyperovalsDof ranknwith GL(1, 2n) ≤Sare classified. Here we present two new classes ofnon-bilinear, doubly transitive dimensional dual hyperovals. We also consider universal covers of doubly transitive dimensional dual hyperovals, since they are again doubly transitive dimensional dual hyperovals by [2, Cor. 1.3]. We determine the universal covers of the presently known doubly transitive dimensional dual hyperovals.
Valuations on convex functions and convex sets and Monge–Ampère operators
Authors: Alesker Semyon
Published: July 2019

The notion of a valuation on convex bodies is very classical; valuations on a class of functions have been introduced and studied by M. Ludwig and others. We study an explicit relation between continuous valuations on convex functions which are invariant under adding arbitrary linear functionals, and translation invariant continuous valuations on convex bodies. More precisely, we construct a natural linear map from the former space to the latter and prove that it has dense image and infinite-dimensional kernel. The proof uses the author’s irreducibility theorem and properties of the real Monge–Ampère operators due to A.D. Alexandrov and Z. Blocki. Furthermore we show how to use complex, quaternionic, and octonionic Monge–Ampère operators to construct more examples of continuous valuations on convex functions in an analogous way.
What we need to know about student writers’ grammar learning and correction
Authors: Kao Chian-Wen , Reynolds Barry Lee , Feng Teng (Mark)
Published: July 2019

The question of whether grammar learning and correction is effective for second language writing development depends on students’ needs and tendency to study grammar. While the extent of the influence of grammar learning, grammar correction, and learner beliefs on second language writing for English as a second language settings and learners has been heavily debated, little of the research has considered the backgrounds and beliefs of English as a foreign language (EFL) learners. To explore factors that have influenced EFL students’ writing, the current study investigated beliefs regarding grammar learning and correction of 306 EFL students studying at universities of science and technology. An exploratory factor analysis was performed on questionnaire data gathered from the Taiwanese EFL student writers. The analysis uncovered four significant factors including (1) emphasis on the connection between grammar learning and writing, (2) positive attitude towards analyses of grammar rules, (3) positive attitude towards written correction, and (4) negative attitude towards oral correction. Qualitative data gathered through ten open-ended questions further indicated that EFL student writers welcomed teachers’ written correction of grammar errors especially when grammar correction was received for writing produced during writing tasks tailored to students’ future work-related needs. Pedagogical implications and future materials development for university of science and technology EFL student writers were discussed.
Effects of Ischemic Post-Conditioning on the Expressions of LC3-II and Beclin-1 in the Hippocampus of Rats after Cerebral Ischemia and Reperfusion
Authors: Huang Liquan , Liu Zizhuo , Wang Lingcong
Published: July 2019

Objective

To investigate the effects of postconditioning ischemia on the expressions of the hippocampus neuron autophagy-related proteins LC3-II and Beclin-1 in rats following cerebral ischemia reperfusion.

Methods

A total of 128 male Sprague–Dawley rats were randomly divided into 4 groups: control, cerebral ischemia-reperfusion (IR), cerebral ischemia post-conditioning group (IP), and PI3K/Akt inhibitor (LY294002). The rat cerebral ischemia model was established by the improved Pulsinelli four vessel occlusion method. The durations across the platform and escape latent period were recorded using the water maze experiment. The changes in cell morphology and the number of surviving hippocampal neurons were detected by hematoxylin-eosin (HE) staining. The cells with Beclin-1 and LC3-II in the hippocampal region were detected by immunohistochemical staining and Western blotting.

Results

When compared with the IR at 48 and 72 h, the number of platform passes increased and the escape latency time was shortened. Consequently, the HE staining detected positive cells with LC3-II and Beclin-1 increased in number at each time point in immunohistochemistry and the expressions of the LC3-II and Beclin-1 proteins were improved in the IP (P < 0.05).

Conclusions

Cerebral ischemic post-conditioning promoted the expressions of autophagy-related proteins LC3-II and Beclin-1 while relieving the injuries caused by cerebral ischemia reperfusion.
Depletion of VAX2 restrains the malignant progression of papillary thyroid carcinoma by modulating ERK signaling pathway
Authors: Guo Bei , Zhang Yi , Yuan Kun , Jiang Feng-Xia , Cui Qian-Bo , Zhou Qin , Dong Hong-Xia , Chen Wei , Yang Shun-Shi
Published: July 2019

Objective

Ventral anterior homeobox 2 (VAX2) gene is a key regulating factor for the development of the ventral region of the eye, and has recently attracted much attention from the cancer treatment field. Our study aimed to explore the effect of VAX2 on papillary thyroid carcinoma (PTC).

Methods

We determined the expression levels of VAX2 in PTC based on The Cancer Genome Atlas (TCGA) database. We then assessed the prognosis of patients with PTC, and analyzed the association between VAX2 expression and clinicopathological characteristics. Subsequently, we measured the biological functions of VAX2 in PTC using qRT-PCR, cell counting kit-8 (CCK-8) assay, colony formation assay, wound healing assay, transwell assays and western blot.

Results

VAX2 was up-regulated in PTC tissues when compared with normal thyroid tissues, and high expression level of VAX2 was positively correlated with poor prognosis. Furthermore, knockdown of VAX2 significantly inhibited the proliferation, migration and invasion of PTC cells. Importantly, through western blot analysis, we found that the expression of phosphorylated-(p) ERK and p-MEK in ERK signaling pathway showed a significant decrease after knockdown of VAX2.

Conclusion

These findings suggest that VAX2 may be involved in the malignant progression of PTC, and hold significant potential as a therapeutic target for PTC.
Phosphate-solubilizing bacteria from safflower rhizosphere and their effect on seedling growth
Authors: Zhang Tingting , Hu Feng , Ma Lei
Published: July 2019

Phosphate-solubilizing bacteria (PSB) can convert insoluble rhizosphere phosphorus into forms that are absorbable by plants and thus enhance the growth of plants. Safflower is a cash crop that is a source of vegetable oils, food coloring and flavoring agents. This study sought to isolate PSB in safflower rhizosphere soil and investigate their effects on seedling growth. The isolated PSB were identified as belonging to the genera Pseudomonas, Sinorhizobium, Staphylococcus, Acinetobacter and Enterobacter using 16S rRNA gene sequence analysis. Acinetobacter sp RC04. showed the best performance in phosphate solubilization, with the efficiency of the process being influenced by carbon source, nitrogen source, cultivation temperature and initial culture pH. Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 showed the ability to improve safflower seed germination and, when co-inoculated, improved seedling growth. Hence, we suggest that Acinetobacter sp. RC04 and Sinorhizobium sp. RC02 could be developed for field application to promote safflower growth. The results from this study will help drive novel biofertilizer discovery and could be included in integrated nutrient management regimes for safflower and other important economic crops.
Insulin resistance is a risk factor for mild cognitive impairment in elderly adults with T2DM
Authors: Zhao Hongjun , Wu Chenglong , Zhang Xiaoping , Wang Liping , Sun Jianhong , Zhuge Fuyuan
Published: July 2019

Objective

The aim of this study was to investigate the clinical effects of insulin resistance (IR) in the development of mild cognitive impairment (MCI) in elderly adults with Type 2 diabetes mellitus (T2DM).

Methods

Seventy-eight patients with T2DM were recruited and divided into MCI group (<26, n=48) and normal group (≥26, n=30) according to the Montreal Cognitive Assessment (MoCA) score. The fasting plasma glucose (FPG), HbA1c, and fasting plasma C-peptide (FPC) were examined and compared between the two groups. The Pancreatic islets function (HOMA-islet) and Insulin Resistance Index (HOMA-IR) were also calculated for the two groups. Using the HOMA-IR and HOMA-islet as the reference, the predicted values for MCI in T2DM patients were calculated by sensitivity, specificity and area under the receiver operating characteristic (ROC) curve.

Results

The MoCA scores were statistically different between the MCI and control groups (23.79±1.15 vs 28.50±1.01, p<0.05). The serum FPG and FPC were 10.38±2.36 mmol/L and 0.79±0.34 ng/mL in the MCI group which were significant different from those of the control group (8.96±2.55 mmol/L and 1.04±0.38 ng/mL; p<0.05). The HOMA-IR and HOMA-islet were 10.08±2.64 and 94.67±29.12 for the MCI group and 8.16±2.46 and 130.30±38.43 for the control group; both were statistically different (p<0.05). The serum HbA1c was 11.02±2.59% and 9.37±2.00% for the MCI and control groups (significantly different with p<0.5). A significant positive correlation was found between MoCA score and HOMA-islet (rpearson=0.44; p<0.001). A significant negative correlation existed between MoCA score and serum HbA1c (r=-0.25; p=0.03). The areas under the ROC curve were 0.70 (0.57~0.82), 0.69 (0.57~0.81), 0.69 (0.57~0.80), 0.72 (0.60~0.84), 0.72 (0.60~0.84) and 0.76 (0.65~0.88) respectively for FPG, FPC, HbA1c, HOMA-IR and HOMA-islet.

Conclusion

Insulin resistance is a risk factor for mild cognitive impairment and can be a biomarker for prediction of MCI in patients with T2DM.
Effect of platelet-rich plasma on implant bone defects in rabbits through the FAK/PI3K/AKT signaling pathway
Authors: Liu Wei , Chen Ben , Zheng Youyang , Shi Yuehua , Shi Zhuojin
Published: July 2019

Platelet-rich plasma (PRP) has been shown to be a beneficial growth factor for bone tissue healing and is used in implantology. The aim of this study was to investigate the effects of PRP on bone defects in rabbits. Twenty rabbits were used to establish the implant bone defect model in this study. An intrabony defect (5mm × 5mm × 3mm) was created in alveolar bone in the lower jar of each rabbit. The wound was treated with PRP. The expression of platelet-derived growth factor BB (PDGFBB) was assessed by enzyme-linked immunosorbent assay (ELISA). Focal adhesion kinase (FAK) and related phosphatidylinositol 3-kinase (PI3K)/AKT (protein kinase B) levels were measured by Western blot. The results show that PRP could significantly improve the bone healing process when compared with control, and 10% PRP could markedly increase fibroblast proliferation 48-h post treatment. PDGFBB was higher in the PRP group than that in the control group. PRP treatment also could elevate the phosphorylation of FAK and PI3K/AKT, although the inhibitor of PDGFR could reverse this trend. These results suggest that PRP treatment improves the bone healing process through the FAK/PI3K/AKT pathway.
Ultrasonography in the diagnosis of lung adhesion before surgery
Authors: Eshraghi Mohsen , Kachoie Ahmad , Sharifimoghadam Soroush
Published: July 2019

Background

The presence of pleural adhesions may render video-assisted thoracoscopic surgery difficult or impossible. The aim of this study was to assess the value of chest ultrasonography in the detection of pleural adhesions prior to thoracotomy.

Methods

Between 2013 and 2014, 42 consecutive patients undergoing thoracotomies (including video-assisted thoracicsurgery) were evaluated with chest ultrasonography. These patients underwent a preoperative ultrasonic examination of the chestwall using a 7.5-10-MHz linear ultrasound probe at 7 points along the chest wall. We measured the movement of the visceral pleuralslide.

Results

In the upper thoracic wall,ultrasonography demonstrated a sensitivity of 63.0%, a specificity of 66%, a negative predictive value of 77%, a positive predictive evalue of 50.0%, and an overall accuracy of 65.0%. And for the lower thoracic wall, ultrasonography demonstrated a sensitivity of 81.0%, a specificity of 59.0%,a negative predictive value of 89.0%, a positive predictivevalue of 44.0%, and an overall accuracy of 65.0%.

Conclusion

Chest ultrasonography is moderately accurate in detecting the presence and location of pleural adhesions. The use of preoperative chest sonographic findings to plan trocar placement and to determine the need for an open approach is valuable in helping prevent visceral injury and facilitating video-assisted thoracoscopic surgery.
Effects of Blue and Red Light On Growth And Nitrate Metabolism In Pakchoi
Authors: Fan Xiao-Xue , Xue Feng , Song Bo , Chen Long-Zheng , Xu Gang , Xu Hai
Published: July 2019

This study investigated the effects of blue and red light on metabolites of nitrate, key enzymes, and the gene expression of key enzymes in pakchoi plants (Brassica campestris L. var. Suzhouqing). Plants were grown under three light quality treatments, namely, white light (W), red light (R) and blue light (B), at the same photosynthetic photon flux density (PPFD) of approximately 150 μmol m-2 s-1 for 48 hours of continuous illumination, and W was set as the control. The dynamics of net photosynthetic rate in pakchoi subjected to different light treatments were the same as the total chlorophyll contents: blue light > white light > red light. The nitrate reductase (NR) activity, nitrite reductase (NiR) activity, glutamine synthetase (GS) activity and glutamate synthase (GOGAT) activity were highest under blue light. Further, the expression levels of NR, NiR and GS genes were significantly higher under blue light. Under continuous illumination, the auxin content (IAA) in pakchoi leaves was highest under blue light, whereas the abscisic acid (ABA) content was highest under red light. In contrast, there was no significant effect for gibberellin (GA) under any type of light treatment.
Taking flame tests one step forward: the case of a DIY atomic emission spectrophotometer
Authors: Mavroukakis-Karagounis Constantina , Papadopoulou Isavella , Papadopoulou Myrto , Makedonas Christodoulos
Published: July 2019

In the present study we report the construction of a simple atomic emission spectrophotometer and we describe its computer interface and its calibration procedure. The final instrument is employed for the detection of the presence of metal ions in commercially available drugs. The cost of the whole construction is low and it can be readily applied within the secondary education chemistry curricula in order to strengthen students’ engagement and understanding of a modern analytical technique that is based on the well known flame tests.
Influence of training in inquiry-based methods on in-service science teachers’ reasoning skills
Authors: Bernard Paweł , Dudek-Różycki Karol
Published: July 2019

Reasoning skills can be described as abilities to use scientific knowledge to identify and solve problems, and to formulate conclusions based on empirical observations. The European Union promotes the development of reasoning skills as a way to grow knowledgeable and responsible citizens. In a school classroom, the development of reasoning skills can be stimulated by the use of inquiry-based methods. Students’ reasoning skills are frequently measured and compared by many national and international programmes (e.g. PISA). It is obvious that teachers who help students to develop reasoning skills should also have a high level of those skills, however, the teachers who currently work in Central/Eastern European schools have had no opportunity to learn through or even experience inquiry, neither to participate in programmes measuring the level of reasoning skills. In this research, Lawson’s tests were used to measure the level of reasoning skills among science teachers (n = 71) before and after training in using inquiry-based methods. The results showed that reasoning skills are the best developed by physics teachers. Training in using inquiry helps biology and chemistry teachers improve and close the gap between them and physics teachers.