bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Leaf Recognition System
Authors:   Electronics and Communication Engineering-, Sri Ramakrishna Institute of Technology, Coimbatore, India., Sekar G.
Published: July 2020

One of major issue nowadays is the agricultural productivity which is something our Nation’s economy highly depends. Technology based advancements may lead to detection of diseases in plants which are quite natural. Care should be taken in this area before it causes serious effects on plants which mainly affect the product quality, quantity or productivity. Early stage detection of diseases in plants through some automatic technique is beneficial as it reduces a huge work of monitoring in large acres of crops. When they appear on plant leaves, earlier detection helps us to increase the yield and productivity. This paper presents an algorithm for image processing technique which is used for automatic detection and classification of plant leaf diseases with the help of raspberry pi and sensors. This survey is about different diseases and its classification, techniques which are used for plant leaf disease detection and also its respective fertilizer sprayed on the leaves.
ABC LSTM Optimizing Parameters of Deep LSTM using ABC Algorithm for Big Datasets
Authors:   Deptt. Of Computer Science, Guru Jambeshwar University of Science and Technology, Hisar, Haryana., Mittal Shweta , Sangwan Om Prakash ,   Deptt. Of Computer Science, Guru Jambeshwar University of Science and Technology, Hisar, Haryana.
Published: July 2020

Long Short Term Memory Network is the variant of RNN (Recurrent Neural Network) popularly used in various domains, particularly for sequence prediction tasks. For deep networks, number of hidden layers in the network is high and thus, the time complexity of the network increases. Moreover, with the increase in the size of datasets, it becomes very difficult to tune these complex networks manually (as the network may take several days/weeks to run). Thus, to minimize the time required to run an algorithm and for better accuracy, there is a need to automate the task of tuning the parameters of the network. To automatically tune the parameters of the networks, various researchers have used numerous Metaheuristic approaches like Ant Colony Optimization, Genetic Algorithm, Simulated Annealing etc. in the past which provides us with the near optimal solution. In the proposed ABC_LSTM algorithm, traditional Artificial Bee Colony algorithm has been implemented to optimize the number of hidden neurons of LSTM networks with 2 hidden layers. Based on the experimental results, it can be concluded that up to a certain point increasing the number of bees and iterations gives us the solution with the least MAE value, thereby improving the accuracy of the model.
Web Crawler and Web Crawler Algorithms: A Perspective
Authors:   Assistant Professor, Department of Computer Science and Engineering, Theni Kammavar Sangam College of Technology, Theni, India,, Velkumar K , Thendral P ,   Associate Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil,
Published: July 2020

A web crawler is also called spider. For the intention of web indexing it automatically searches on the WWW. As the W3 is increasing day by day, globally the number of web pages grown massively. To make the search sociable for users, searching engine are mandatory. So to discover the particular data from the WWW search engines are operated. It would be almost challenging for mankind devoid of search engines to find anything from the web unless and until he identifies a particular URL address. A central depository of HTML documents in indexed form is sustained by every search Engine. Every time an operator gives the inquiry, searching is done at the database of indexed web pages. The size of a database of every search engine depends on the existing page on the internet. So to increase the proficiency of search engines, it is permitted to store only the most relevant and significant pages in the database.
Exploration of Big Data Security Framework using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Theni Kammavar Sangam College of Technology, Theni, India,, Rajeshkumar K. , Dhanasekaran S. ,   Associate Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil,, Vasudevan V. ,   Senior Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil,
Published: July 2020

As with prior technological advancements, big data technology is growing at present and we have to identify what are the possible threats to overhead the present security systems. Due to the development of recent technical environment like cloud, network connected smartphones and the omnipresent digital conversion of huge volume of all types of data poses more possible threats to sensitive data. Due to the improved vulnerability big data requires increased responsibility. During the last two years, the amount of data that has been created is about 90% of the whole data created. Strengthening the security of sensitive data from unauthorized discovery is the most challenging process in all kind of data processing. Data Leakage Detection offers a set of methods and techniques that can professionally solve the problem arising in particular critical data. The large amounts of existing data is mostly unstructured. To retrieve meaningful information, we have to develop superior analytical method in big data. At present we have more algorithms for security which are not easy to be implement for huge volume of data. We have to protect the sensitive information as well as details related users with the help of security protocols in big data. The sensitive data of the patient, different types of code patterns and set of attributes to be secured by using machine learning tool. Machine learning tools have a lot of library functions to protect the sensitive information about the clients. We recommend the Secure Pattern-Based Data Sensitivity Framework (PBDSF), to protect such sensitive information from big data using Machine Learning. In the proposed framework, HDFS is implemented to analysis the big data, to classify most important information and converting the sensitive data in a secure manner.
Personalysis Personality and Stress Analysis of Students
Authors:   Department of Computer Science and Engineering, Bhagwan Parshuram Institute of Technology, Delhi, India, Gupta Atulya , Jain Deepti ,   Department of Computer Science and Engineering, Faculty, Bhagwan Parshuram Institute of Technology, Delhi, India, Sharma Anika ,   Department of Computer Science and Engineering, Faculty, Bhagwan Parshuram Institute of Technology, Delhi, India, Dishani  ,   Department of Computer Science and Engineering, Faculty, Bhagwan Parshuram Institute of Technology, Delhi, India, Singhal Meghal ,   Department of Computer Science and Engineering, Faculty, Bhagwan Parshuram Institute of Technology, Delhi, India
Published: July 2020

Stress is a mental condition that decreases the quality of life and influences almost every feature of life. Stress is a significant issue these days, particularly among students. The age that was once assumed to be the most cheerful phase of life is currently under a lot of pressure. Increment in levels of stress these days’ prompts to numerous issues like misery, suicide, coronary episode, and stroke. In this paper, we are ascertaining the stress levels of students during their B. Tech degree. Our goal is to examine stress in the students at various focuses in his life. The impact that semester exam or placement tests has on student often goes unnoticed. The fact of understudy being in a relationship is not taken into account as a prime factor in calculating stress levels. In this research paper, we have considered that factor also. For calculating stress levels, students were asked some basic questions about how they feel, and what comes into mind when they see a picture and some personal questions based on their relationship status.
Event Detection using Deep Learning
Authors:   Department of Computer Science and Engineering , Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur district ,Andhra Pradesh ,India., Triveni Ariveni , Adithya Guntur Kesava Sai ,   Department of Computer Science and Engineering , Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur district ,Andhra Pradesh ,India, Karthik Sanneboina ,   Department of Computer Science and Engineering , Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur district ,Andhra Pradesh ,India., Sahoo Deepak Kumar ,   Assistant Professor, Department of Computer Science and Engineering , Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur district ,Andhra Pradesh ,India.
Published: July 2020

Now a days, Twitter posts more than 400 million tweets every day can disclose real-world details as events grow. Event detection is a method to find real events which occur over time and space. Recent social media networks, such as Face Book, Instagram, Whatsapp and Twitter have been widely documented in real time. In the case of an earthquake, for example, people report earthquake-related information instantly, which allows the earthquake to be quickly detected. In this paper, we have developed a data filter based on functions like keywords, numbers and context. Every user feed is viewed as a sensor and such sensor selection provides a device capable of alerting registered users immediately. Using word embedding models, tweets are converted into numerical vectors. Tweets are classified into political, criminal, social, medical, disaster and miscellaneous predefined classes. Classification task is done by using long short-term memory networks (LSTM). A large number of tweets for the creation and testing of our proposed model are obtained via the Twitter API endpoint, which is marked as an effective technique
Modeling and Simulation Techniques of Amorphous Silicon Thin Film Transistors TFT for Large Area and Flexible Microelectronics
Authors:   Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India, Eklavya Piyush , Debnath Nirmalya ,   Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India., Vaishnav Shrey ,   Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India., N. Ramavenkateswaran ,   , Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India.
Published: July 2020

The Thin Film Transistor (TFT) is the key active components of emerging large area and flexible microelectronics (LAFM) which includes a flexible display, robotics skin, sensor & disposable electronics. Different semiconducting or organic conducting materials could be used in the fabrication of TFTs. The material used for the active layer also influences the performance of the TFT uniquely[1]. Silicon based thin film transistors have made possible the development of the active-matrix liquid crystal display within cell-touch technology [2,3,4]. Modern-day simulation software does not support the older SPICE code models, and rather rely on the new drag and drop concepts. The TFT(Thin Film Transistor) Model device wasn't readily available on the LT-Spice Tool which was simulated and the circuit level simulation for basic gates using the TFT was carried out successfully. The model symbol shall be useful for analysis and simulation of the TFT based circuits which require continuous behavioral study and analysis. For a device to be simulated that way, a “.lib” file containing a symbol of the device is necessary. This paper focuses on circuit-level simulation of user-defined device parameters from reported experimental data.
Transformation in Weaving Technology of Paata Clothes an unique Fabric Tie-Dye product of Odisha
Authors:   P.G. Department of Odia, Utkal University, Bhubaneswar, India., Mohapatra Rudranarayan , Dutta Sadananda ,   Odia department, Govt. Autonomous College, Phulbani, Odisha, India.
Published: July 2020

Both in global market and in perspectives of modernization, preserving and popularizing the traditional weaving technique and designing, is a challenge of 21st century. As it seems, the handloom weaving is unsustainable, and unable to compete in contemporary markets, but it realized, many weavers struggle for livelihoods irrespective of old fashion outcome and to preserve their ethnic and traditional proficiency identity. Odisha, the east-coast state of India is one of them, where thousands of ethnic weavers’ are adopting their parental knowledge of weaving and preparation of micro Ikat garments in tie-&-dye technique generation after generation. In this paper, we are trying to establish the gradual transformation in weaving technology replacing but preserving traditional weaving technique. And to establish we catalyzed here the preparation of ‘Paata-clothes', one of the rarest tussar-silk fabric, produced by ‘Nuapatana’ master weavers. The paper followed the field based research method that is being practically followed by Nuapatana weavers and gets the resultant of productivity changes by relative analysis techniques.
Skin Lesion Classification A CNN Way
Authors:   School of Computer Engineering and technology, MIT World Peace University, Pune, Maharashtra, India, Thakar Prasad , Kulkarni Siddhivinayak A ,   School of Computer Engineering and technology, MIT World Peace University, Pune, Maharashtra, India.
Published: July 2020

Skin lesion growth of unwanted cells on the upper most layer of skin. These lesions may conation cancerous cells which may lead to health issues to the patient and in severe cases may lead to patient’s demise. Dermatologists identify type of skin cancer by identifying it in image generated using dermatoscope and procedure known as Dermatoscopy. Previously there have been many studies which show classification of these dermatoscopic images using machine learning and deep learning solutions. Machine learning approaches use image processing techniques for identifying mole in given image and then for classification researchers have used techniques like SVM , random forest etc. With advances in field of deep learning there have been various methods proposed on classification of using CNN which achieves more precision and accuracy. In this paper we are proposing a CNN based approach for image classification with best overall accuracy of 78.08% and good multiclass AUC for all classes in HAM10000 dataset.
Mining of the Correlations for Fatal Road Accident using Graph-based Fuzzified FP-Growth Algorithm
Authors:   Computer Science and Engineering, Madhav Institute of Technology and Science (MITS), Gwalior, India, Mudgal Soniya , Parmar Mahesh ,   Computer Science and Engineering, Madhav Institute of Technology and Science (MITS), Gwalior, India.
Published: July 2020

Rapid population growth and economic activity have caused a continuous growth of motor vehicles and the increase in population and vehicle traffic injuries is increasing each day. Injury and death traffic accidents lead to not only significant economic losses however too severe mental & physical illness. Social issues have been created by the increasing road accident as a result of death and suffering and death. FP Growth Algorithm, Support Vector Machine (SVM) Cluster classification models and simple C-means clustering Algorithm formed Association laws. Some suggestions for safety driving were made based on data, association guidelines, classification model and obtained clusters. In this paper, we will attempt to address this problem by applying statistical study and FARS fatal accident DM algorithms. The findings suggest that the algorithm proposed is more efficient and faster than the algorithm of the previous research.
A Policy Based Data Security and Key Management System
Authors:   , Dept. of Computer Science & Engineering, RV College of Engineering, Bangalore, India., Ringsia Saket , G Shobha ,   Dept. of Computer Science & Engineering, RV College of Engineering, Bangalore, India.
Published: July 2020

Cyber Security, over the last few years, has been a topic of great research given the number of cyber crimes have been increasing. To provide cyber security , constant efforts are being made to secure the communications and to protect user data using various cryptography techniques. With the increasing number of cryptography, the number of keys used to secure communications also sees a high. It is always difficult to manage these keys and their identity in a multi process communication environment. This paper brings into light an approach for the enhancement of data security and cryptographic key management using a policy based key management system. An on the device approach is proposed which uses the file system to create a secure storage with enhanced security for the storage of the data . The access to this storage is governed by policies to allow an application based access to the storage. This model will provide a highly scalable secure storage and management of keys.
USING STIMULATED RECALL METHOD IN UNDERSTANDING TEACHER INTERACTIVE DECISION MAKING
Authors: Saswati Risna
Published: July 2020

This study sheds lights on whether Stimulated Recall (SR) as data collection method can gain accurate information if the recall is not conducted immediately after the task is completed. This study emerges from a research conducted previously about teacher decision making regarding their language use which is a dissertation writing and is not published yet. This paper is to investigate whether it is applicable to recall thought processes of teacher interactive decision making. This study applies interpretative method which uses documents of classroom observation video transcription and post observation interview transcription as data. The result is it is beneficial to use SR as data collection method since it can gain information accurately to recall the thought processes of teacher interactive decision making. It can work well to collect the data if SR is conducted based on the recommendations proposed by Gass and Mackay (2000) which are time, strong stimulus, good training for the research participants, and consistency with research questions.
METHOD TO INVESTIGATE FICTIONAL ENTITIES: A CASE OF ISHINOMORI SHOTARO’S “KAMENRIDER BLACK” TV SERIES IN INDONESIA
Authors: Arisun Rizki Musthafa
Published: July 2020

This article reports an experiment to pursue appropriate observation method on fictional entities inside popular culture products from Japan: two dimensional characters, fictional characters in a movie. Previous research showed how Indonesian popular culture producers being empowered in production, as fictional entities involved, such as “Hatsune Miku” (HM), a virtual singer persona. This article focused on older cases where media Japan travelled to Indonesia. Back in 1989, a TV action serial "Kamen Rider Black/　Ksatria Baja Hitam" (KRB/KBH) from Japan, was broadcasted by Indonesian local television station RCTI, and dubbed in Indonesian language. The experiment on finding appropriate observation method is conducted by constructing frameworks, imagined as ‘dissecting’ fictional entities into smaller observable parts. The purpose of this paper is to map methods to examine the role of non-human entities under transnational media by evaluating through early stage experiment.
STUDENTS’ PERCEPTIONS ON THE USE OF GOOGLE CLASSROOM TO SUPPORT BLENDED LEARNING FOR THE PENGANTAR LINGUISTIK UMUM COURSE
Authors: Sibuea Todo F. B.
Published: July 2020

Implementing blended learning strategy in higher education requires a learning management system (LMS) that is stable, well-proven, and accessible by both teachers and students alike. Google Classroom is an LMS that meets the aforementioned criteria and it has a steady growing acceptance because of its cross-platform presence, stability, and ease-of-use. Though Classroom has gained many users in K-12 environment, it has not gained the same progress in higher education. To investigate whether Classroom can bring positive impact in a higher education course, a research was conducted by utilizing Classroom as an LMS to support blended learning strategy in a Pengantar Linguistik Umum class for a semester. Research participants’ were university students who enrolled in PLU class. Then, the course was conducted by combining face-to-face meeting and online learning facilitated by Google Classroom. Class teacher surveyed students’ knowledge and perceptions about blended learning at the beginning of the course and at the end of semester to investigate their perceptions of using LMS in blended learning environment. The Classroom was used to share video podcasts, online quizzes, and assignments. This research showed that Classroom was a satisfying LMS for blended learning in PLU course because of its features, user-friendliness, and appropriateness in higher education program.
Un mondo governato da dati e algoritmi. La data literacy attraverso il cinema
Authors: Bennato Davide
Published: July 2020

The digital society focuses on the use of technologies that incorporate every individual and collective process. New infrastructures of contemporary society are the algorithms that define social dynamics by producing data, true raw materials of this condition. All this necessitates a relatively new competence in data literacy, understood as the ability to read and understand data. To train in this competence, cinema can be a useful tool, in particular the films that put data at the center of the story.
Aproximações entre ontologia marxiana e paleontologia no salto ontológico ser natural/ser social: especialização, não-especialização e trabalho
Authors: Lopes Adriano
Published: July 2020

O processo do salto ontológico do ser natural ao ser social pode nos dar uma chave para um entendimento substancial sobre as fundamentais diferenças entre humanos e todas as outras espécies de animais. Analisamos as categorias especialização/não-especialização, bem como a sua relação com a tecnologia e o trabalho. Baseando-nos nas contribuições da paleoantropologia através da lente crítica da ontologia materialista moderna que reconhece a historicidade evolutiva dos seres, evidenciando a transição de um ambiente meramente biológico-causal para um mundo histórico-social e a categoria central que diferencia a humanidade dos outros animais.
Silicone Oil Droplets in Vitreous after Intravitreal Bevacizumab Injection
Authors: Sana Jahangir, Suhail Sarwar Haroon Tayyab, Asad Aslam Khan Muhammad Ali A Sadiq
Published: July 2020

Intravitreal injection of Bevacizumab for various retinal vascular disorders has become the mainstay of treatment. The injection of Bevacizumab is usually dispensed through local pharmacies after formulating from a larger vial under sterile conditions. We report an interesting finding of silicone oil bubble in vitreal cavity after intravitreal Bevacizumab injection. This is attributed to the fact that the syringes used for dispensing bevacizumab are coated with silicone oil that acts as a lubricant. These silicone oil droplets can lead to floaters and other possible complications. We report two cases of such occurrence and propose strategies to avoid this complication. Keywords: Bevacizumab, diabetic macular edema, silicone oil, ranibizumab.
Efficacy and Safety of Argon Laser Trabeculoplasty in Lowering Intraocular Pressure as Adjunctive Treatment to Primary Open Angle Glaucoma
Authors: Arshad Sheikh Uzma Fasih, Erum Shahid
Published: July 2020

Purpose: To assess efficacy and safety of argon laser trabeculoplasty (ALT) to lower intra ocular pressure (IOP) as adjunctive treatment in primary open angle glaucoma (POAG) patients.

Study Design: Descriptive Cross Sectional.

Place and Duration of Study: Ophthalmology Department, Abbassi Shaheed Hospital from May 2016 to August, 2017.

Materials and Methods: Primary open glaucoma patients were selected from eye OPD. Patients with Inflammatory, angle closure, traumatic glaucoma were excluded. Pre laser and Post laser IOP was measured at 1st week then at 1, 3 and 6 months. Data was collected and analyzed on SPSS version 20. There were 114 patients

Results: There were 69 (61%) male patients. Mean age of patients was 60.53 ± 10.71 years. Mean pre laser Intraocular pressure was 23.98 ± 10.01 mm Hg. Mean post laser IOP at one month was 15.6 ± 3.25 and at 6 months was 14.8 ± 3.28 mm Hg. Overall mean reduction of IOP was 9.18 mm Hg from baseline, with p value less than < 0.005. Pre laser 3 medications were used by 20 (18%) and 2 medications by 49 (43%). At 6 months follow-up 4 (3.5%) patients were on 3 medications and 31 (37%) were on 2 medications. It has a p value < 0.005. Drug free patients at 6 months follow-up were 37 (33%). Mild iritis was seen in 7 (6.14%) patients.

Conclusion: Argon Laser Trabeculoplasty is effective and safe method to control IOP in POAG when used as an adjunct to medical therapy. It also decreases number of drugs used by patients.

Key Words: Argon laser trabeculoplasty, intraocular pressure, primary open angle glaucoma.
Association of Intima-media Thickness of Internal Carotid Artery with Ocular Pseudoexfoliation
Authors: Asim Kayiklik Oguz Guvenmez
Published: July 2020

Purpose: To compare the internal carotid artery intima-media thickness (CAIMT) in patients with ocular PEX and healthy controls and to show that ocular PEX may be related to atherosclerosis, or not.

Study Design: Cross-sectional study.

Place and Duration of Study: Department of Ophthalmology in Adana Ortadogu Hospital, Adana, Turkey. The study was conducted between January 2017 and January 2018.

Material and Methods: There were 32 participants in the study. In the biomicroscopic anterior segment examination, 16 patients were diagnosed with pseudoexfoliative material on the pupil margin or anterior lens capsule. These patients formed the first group (Group I).16 non-PEX patients were accepted as a control group (Group II). Patients with systemic disease such as hypertension, diabetes mellitus were excluded from the study. CAIMT was measured and noted in all participants. Carotid artery Doppler USG was used to measure CAIMT. The data were compared by statistical analysis.

Results: In Group I and Group II, the age of the patients did not differ significantly (p > 0.05). In Group I and Group II, gender distribution was not significant (p > 0.05). In Group I, CAIMT was significantly higher than in Group II (p < 0.05).

Conclusion: Ocular PEX appears to be associated with atherosclerosis.

Keywords: Ocular pseudoexfoliation, atherosclerosis, carotid artery.
Central Macular Thickness: a Comparative Study of Diabetics Vs Healthy
Authors: Asma Shams Beenish Khan, Muhammad Muneer Quraishy,
Published: July 2020

Purpose: To compare the central macular thickness amongst diabetics with that of healthy population by using Optical Coherence Tomography.

Study Design: Case control study.

Place and Duration of Study: Department of Ophthalmology Unit I, Civil Hospital Karachi from 5th March 2012 to 4th September 2012.

Material and Methods: We randomly selected patients with diabetes (cases) and healthy patients (control) with clinically normal macula and no diabetic retinopathy. Detailed relevant history was acquired. Best corrected visual acuity (BCVA) was measured with standard Snellen’s chart. Detailed dilated fundus examination was done using +90D and +78D lens. Central macular thickness within an area of 1000 µm was measured using Optical Coherence Tomography.

Results: There were 68 patients in each group. The mean age of patients in the Diabetic group was 47.94 ± 14 (20-80) years and in the healthy group it was found to be 39.53 ± 14.93 (20-80) years. Out of these 26 were male and 42 were female in the diabetic group whereas 27 were male and 41 were female in the healthy group. Mean central macular thickness of Diabetic eyes were 214.48 ± 31.41 µm and that of healthy eyes were 236.79 ± 19.38 µm with mean difference of 22.31 ± 4 µm (p value = 0.000).. A statistically significant difference in the central macular thickness of Diabetics and healthy patients was observed.

Conclusion: The central macular thickness is significantly decreased in eyes of patients with Diabetes.

Keywords: Central macular thickness, Optical Coherence Tomography, OCT, Diabetic Retinopathy, Diabetic Maculopathy.
Case Report on Horner�s Syndrome Following Thyroidectomy
Authors: Ahmad Zeeshan Jamil Syeda Sidra Gillani,
Published: July 2020

We report a case of 37-year-old Pakistani Punjabi woman who visited the Eye department of DHQ teaching hospital Sahiwal with complaint of drooping of right upper eyelid following the thyroidectomy. This is to highlight the importance of proximity of Thyroid gland and sympathetic trunk. Hence, to make surgeon more vigilant to avoid risk of injury to sympathetic trunk so that potentially stressing cosmetic disfigurement can be avoided. Moreover, this would help the surgeon to undertake measures to lessen the risk of injuring the sympathetic runk while doing the thyroidectomy.

Key words: Horner’s syndrome, miosis, ptosisthyroidectomy.
Introducción al análisis estructural de proteínas y glicoproteínas
Authors: Vega Castro Nohora Angélica , Reyes Montaño Edgar Antonio
Published: July 2020

Los seres vivos están conformados por gran diversidad de proteínas con diferentes características físicas, químicas, estructurales y funcionales. Para entender la función de una proteína se necesita conocer su secuencia y, mejor aún, su estructura tridimensional. Hoy en día es significativo el incremento en el número de secuencias reportadas, al igual que el aumento en la determinación del número de estructuras tridimensionales por métodos experimentales e in silico. Todo este conjunto de estudios ha sido de gran importancia en la formulación de los conceptos modernos de la bioquímica y ha permitido entender la relación que se da entre estructura y función de las proteínas, esto es una premisa fundamental que guía el quehacer bioquímico. En el presente texto brindamos una descripción general de algunos de los aspectos más relevantes sobre los componentes estructurales de proteínas y glicoproteínas, así como algunas técnicas que se han usado para estudiar cada uno de los niveles estructurales que se encuentran en ellas.
PERPUTARAN UANG DI INDONESIA: PERAN UANG ELEKTRONIK, VOLUME TRANSAKSI ELEKTRONIK DAN JUMLAH MESIN EDC
Authors: Fauzukhaq Muhammad Fadlillah , Prasetia Luthfan Darma , Akbar Akhmad
Published: July 2020

The purpose of this study is to analyze the effect of theuse of electronic money which includes the amount of electronic money in circulation, the volume of electronicmoney transactions and the number of electronic money EDC machines on the velocity of moneyin Indonesia. The data used in the study are secondary data from the Central Statistics Agency (BPS) and the Central Bank (BI) and analyzed by linear regression. The results showed that the amount of electronic money incirculation and the number of  Electronic Data Capture (EDC) Machines had a significant effect on the velocity of money in Indonesia, while the volume of electronic money transaction sdid not have a significant effect on the velocity of money in Indonesia.
The COVID-19 pandemic: risks to psychological well-being and mental health
Authors: Yuryeva Lyudmyla , Shusterman Tamara
Published: July 2020

The problematic article is devoted to the issues of psychological well-being and mental health in the context of the COVID-19 pandemic. The sociopsychological effects of pandemics that potentiate mental health disorders have been analyzed. The effect of the influence of the media and social networks on the mental state is considered. Quarantine, social distance and social exclusion have a negative impact on mental health and physical well-being. The growth of deviant forms of behavior, stigmatization, excessive mental stress on medical workers who are in the focus of a pandemic, and the non-standard state of medical institutions have been noted among the main factors that worsen mental health. The peculiarities of anxious and phobic disorders in the context of the COVID-19 pandemic have been described and analyzed in detail. It has been established that organic anxiety predominates in patients with COVID-19, having a number of clinical peculiarities (the predominance of somatic anxiety with an asthenic radical, high comorbidity with depression and hypochondria, cognitive deficit and the severity of vegetative manifestations). Pharmacogenic anxious and depressive effects have been described with the use of antiviral agents. The peculiarities of the treatment of patients with anxious and phobic disorders in the situation of the COVID-19 pandemic are the use of Internet technologies (psychoeducation, psychotherapy) and the discussion of specific problems and fears at psychotherapy sessions. Timely diagnosis, therapy and prevention of mental and behavioral disorders that occur during an outbreak of infectious diseases is a priority for successfully overcoming both the immediate and longterm effects of the COVID-19 pandemic and the mental health of all segments of the population. Keywords: COVID-19, pandemic, risk, psychological well-being, mental health, anxiety, phobias
PENGARUH UPAH DAN INSENTIF KARYAWAN TERHADAP KINERJA KARYAWAN PADA PT. MILANO PANAI TENGAH
Authors: Efendi Ruslan , Lubis Junita , Elvina Elvina
Published: July 2020

ABSTRACKThis study aims to determine how the influence of wages and incentives on performance at PT Perkebunan Milano. This study uses data collection methods by distributing questionnaires. The population and sample used in this study were 57 employees of PT Perkebunan Milano. Hypothesis testing in this study uses a validity test analysis tool, reliability test, the classic assumption test of multiple linear regression, (t test), (F test), and the coefficient of determination (R2). The results of this study indicate that there is a positive influence The results of this study indicate that partially (t test) wages and a positive and significant effect on employee performance. with a t count of 2,422. Incentives have a positive and significant effect on performance with t count of 6.114. Simultaneously wages and incentives together have a positive and significant effect on performance, with an F count of 22,458. Through testing the coefficient of determination (R Square) of 0.454 or 45.4% which shows that the performance is explained by wages and the remaining incentives of 54.6% are explained by other variables not included in this study. Keywords: Wages, Incentives, Employee Performance
Betydelser av könsstympning hos migrerade minoriteter i Sverige
Authors: Strid Sofia
Published: July 2020

The article examines meanings and attitudes to female genital mutilation among migrated minorities in Sweden. It explores the importance of family, networks, work, the role of laws and regulations, and the meaning and importance of female genital mutilation. It draws conclusions on power structures around and determinants of female genital mutilation in relation to attitudes and attitudinal change. The material was collected via four focus groups with 47 migrated men and women, originally from Somalia. Theoretically, the article draws on feminist institutionalism and the framework on gender regimes, and scholarship on intersectional violence, and expands the concept of violence beyond the physical, individual and intentional.The article argues that the risk of female genital mutilation decreases considerably with migration. While some previous research has failed to consider migration as a process of attitudinal change, the article shows that attitudes do not simply migrate with migrants; they change through the processes of migration. It contributes to debates on violence from an integration-theoretical perspective, and shows how the concepts of isolation and mobility can contribute to better explanations of attitudes and practices of female genital mutilation.
Effect of Fluoxetine and Paroxetine on Intestinal Motility in Presence of Ondansetron in ex-vivo Model
Authors: Afzal Ayesha , Khan Ammara , Ajmal Khalida , Sikandar Abeera , Rafiqu Saima , Farooqi Rashida , Tayyaba Khan Bushra , Ara Iffat
Published: July 2020

Objective: To understand the effects of fluoxetine and paroxetine with ondansetron on the intestinal motility of rabbit ileum. Study Design: Observational study. Place and Duration of Study: The study was conducted from March to April 2018 in a multidisciplinary lab of Army Medical College, Rawalpindi.Materials and Methods: The contractile effect of intestinal motility was recorded in the power lab. Subjects were twenty four healthy rabbits (Oryctolagus Cuniculus). Semi log dose-response curve was constructed for increasing concentrations of serotonin, ondansetron, fluoxetine, and paroxetine (10-9 to 10-6 M) alone and then in the presence of a fixed concentration of ondansetron (10-6 M) to observe the modulatory role of ondansetron. The serotonin mediated contractions were taken as control.Results: Ondansetron and serotonin caused an increase in the contractile response of rabbits ileum. A depressive response was observed when the contractions were recorded with increased concentration of fluoxetine and paroxetine in the presence of ondansetron. Conclusion: Ondansetron when used concomitantly with selective serotonin reuptake inhibitors(SSRIs), abolishes their antidepressant effects by causing a decrease in the intestinal motility of rabbit ileum.
Epidermal Growth Factor-Like Domain-8 (EGFL8) in Mammals: The Story so far
Authors: Subhan Fazli , Naeem Muhammad , Sajjad Wasim , Ali Liaqat , Tauseef Isfahan , Haleem Syed Kashif
Published: July 2020

Epidermal growth factor-like domain-8 (EGFL8) also known as vascular endothelial statin-2 (VE-statin-2). It was identified by using retroviral gene entrapment vectors, expressed in endothelial cells. It is located on chromosome6inhumansandchromosome17inthemouse. EGFL8codesaproteinof293aminoacidswithan amino-terminal signal peptide and has two EGF-like domains. EGFL8 plays a very important regulatory role in thymopoiesis, cell migration and invasion through the modulation of Notch signaling. Although the signaling regulatory factors of EGFL8 need to be explored but recent scientific advances have revealed some important aspect of its regulation. This review summarizes the current knowledge about all aspects of EGFL8 since its discovery.
A Clean Slate for Texas Foster Youth
Authors: Churchman Madison Howard
Published: July 2020

This Article will compare how Texas and other states implement this federal law differently and then discuss how Texas can improve its flawed system to better protect children negatively affected by identity theft. Section II of this Article will introduce and explain M.D. v. Abbott and the changes in Texas foster care on the horizon as a result of this case. Section III will introduce and delve into the issue of identity theft in foster youth as a whole, and it will tell the story of one foster youth who faced the results of identity theft. Finally, the Section breaks down how identity theft occurs and what the lasting effects are. Section III will discuss the federal legislation created as a response. Section III also includes a case study on California’s pilot project response that was initiated prior to the federal legislation, and looks into how Texas applies federal legislation and partners it with state legislation. This Section looks at both the strengths and weaknesses of state and federal responses to child identity theft. Section IV will introduce four state-level policy recommendations to assist Texas in resolving identity theft issues for youth in foster care. By implementing a holistic, multi-step approach beginning when the child initially enters foster care, particularly in light of the major foster care reform posed by M.D. v. Abbott, Texas will lead the country and serve as an example to other states in resolving this pressing issue. Section V will include conclusions from the content discussed in this Article.
Smart Growth Through Tiny Homes
Authors: Donnelly A. Robin
Published: July 2020

Tiny Homes are an environmentally friendly housing option popping up across the United States. Tiny Homes have a minimal environmental footprint due to their small size and eco-friendly design. As such, Tiny Homes could address several of the Environmental Protection Agency’s city development goals. The Environmental Protection Agency (“EPA”) has created a Smart Growth program that provides financial assistance to cities seeking to implement greener practices throughout city planning. Tiny Home Eco communities could become a popular Smart Growth development plan. Unfortunately, cities have not welcomed Tiny Homes, and this alternative green housing scheme has remained undeveloped. This Comment is a proposal to expand the EPA’s Smart Growth program to include pre-planned Tiny Home Eco communities. Currently, prospective Tiny Home owners lack the freedom to choose this environmentally-friendly housing option. This proposal seeks to incentivize cities to reform zoning regulations by providing public transportation to those implementing the proposed communities.
The Comparable Properties Standard
Authors: MacGorman Timothy R.
Published: July 2020

The Texas Constitution mandates that taxation shall be equal and uniform, and that property shall be appraised at market value for the purposes of ad valorem property taxation. While valuation methodology is crucial to property owners in such a context, the “Comparable Properties Standard” embodied in Sections 41.43(b)(3) and 42.26(a)(3) of the Texas Tax Code appears to allow wealthy property owners to unconstitutionally manipulate the appraised value of their property for ad valorem taxation purposes and shift their tax burden to other taxpayers. Unless the Texas legislature enacts a mandatory sales price disclosure statute, or directly amends or repeals the Comparable Properties Standard, such unconstitutional results will continue to diminish revenues for taxing units and shift the tax burden from the wealthy to Texas’ lower and middle-class taxpayers.

While scholars and practitioners have previously expressed the need for a Texas mandatory sales price disclosure statute in order to reduce inequity in other valuation contexts, City of Austin v. Travis Central Appraisal District (“City of Austin”) highlights the longstanding complaint that the Comparable Properties Standard, absent mandatory sales price disclosure, has distorted the appraisal process for ad valorem taxation purposes. With millions of dollars of tax revenue at stake, and a continuing shift of the tax burden from the wealthy to other Texans, the Comparable Properties Standard presents serious concerns that may ultimately affect Texans for years to come. Through the framework of City of Austin, this Article analyzes Texas’ difficulties in implementing an equal and uniform system of ad valorem taxation throughout the state, exposing the ways in which wealthy residential and commercial property owners exploit the Comparable Properties Standard in order to reduce their tax burden, and highlighting the necessity of mandatory sales price disclosure to ensure constitutionality in the ad valorem taxation process.
Transparency and Fairness in Machine Learning Applications
Authors: Shook Jim , Smith Robyn , Antonio Alex
Published: July 2020

Businesses and consumers increasingly use artificial intelligence (“AI”)— and specifically machine learning (“ML”) applications—in their daily work. ML is often used as a tool to help people perform their jobs more efficiently, but increasingly it is becoming a technology that may eventually replace humans in performing certain functions. An AI recently beat humans in a reading comprehension test, and there is an ongoing race to replace human drivers with self-driving cars and trucks. Tomorrow there is the potential for much more—as AI is even learning to build its own AI.

As the use of AI technologies continues to expand, and especially as machines begin to act more autonomously with less human intervention, important questions arise about how we can best integrate this new technology into our society, particularly within our legal and compliance frameworks. The questions raised are different from those that we have already addressed with other technologies because AI is different. Most previous technologies functioned as a tool, operated by a person, and for legal purposes we could usually hold that person responsible for actions that resulted from using that tool. For example, an employee who used a computer to send a discriminatory or defamatory email could not have done so without the computer, but the employee would still be held responsible for creating the email.

While AI can function as merely a tool, it can also be designed to act after making its own decisions, and in the future, will act even more autonomously. As AI becomes more autonomous, it will be more difficult to determine who—or what—is making decisions and taking actions, and determining the basis and responsibility for those actions. These are the challenges that must be overcome to ensure AI’s integration for legal and compliance purposes.
The saccade main sequence revised: A fast and repeatable tool for oculomotor analysis
Authors: Gibaldi Agostino , Sabatini Silvio P.
Published: July 2020

Saccades are rapid ballistic eye movements that humans make to direct the fovea to an object of interest. Their kinematics is well defined, showing regular relationships between amplitude, duration, and velocity: the saccadic ’main sequence’. Deviations of eye movements from the main sequence can be used as markers of specific neurological disorders. Despite its significance, there is no general methodological consensus for reliable and repeatable measurements of the main sequence. In this work, we propose a novel approach for standard indicators of oculomotor performance. The obtained measurements are characterized by high repeatability, allowing for fine assessments of inter- and intra-subject variability, and inter-ocular differences. The designed experimental procedure is natural and non-fatiguing, thus it is well suited for fragile or non-collaborative subjects like neurological patients and infants. The method has been released as a software toolbox for public use. This framework lays the foundation for a normative dataset of healthy oculomotor performance for the assessment of oculomotor dysfunctions.
Facile synthesis of 7-alkyl-1,2,3,4-tetrahydro-1,8-naphthyridines as arginine mimetics using a Horner–Wadsworth–Emmons-based approach
Authors: Lippa Rhys A , Murphy John A , Barrett Tim N
Published: July 2020

Integrin inhibitors based on the tripeptide sequence Arg–Gly–Asp (RGD) are potential therapeutics for the treatment of idiopathic pulmonary fibrosis (IPF). Herein, we describe an expeditious three-step synthetic sequence of Horner–Wadsworth–Emmons olefination, diimide reduction, and global deprotection to synthesise cores for these compounds in high yields (63–83% over 3 steps) with no need for chromatography. Key to this transformation is the phosphoramidate protecting group, which is stable to metalation steps.
A review of the tiger moth genus Amerila Walker, 1855 from Flores Island, Indonesia, with a description of a new species (Lepidoptera: Erebidae: Arctiinae)
Authors: Spitsyn Vitaly M. , Bolotov Ivan N.
Published: July 2020

The Flores Island is a part of the East Nusa Tenggara Group belonging to the Lesser Sunda Archipelago. The Lepidoptera fauna of this remote island comprises two species of the genus Amerila Walker, 1855, i.e. Amerila astreus (Drury, 1773) and Amerila rosenfeldae sp. nov. The first species is widespread from India and Southeast Asia to New Guinea, while the latter taxon appears to represent a lineage endemic to Flores.