bluuebunny/crossref_metadata_2025 huggingface dataset:
An efficient algorithm for automatic classification and centromere detection in G-band human chromosome image using band distance feature
Authors: Saravana Kumar P. , Vasuki S.
Published: May 2021

In chromosome analysis, centromere is an essential component. By analyzing centromere, genetic disorder can be identified easily. In this paper, automatic classification and centromere detection in human chromosome image using Band Distance Feature is proposed. Initially the microscopic image of G-band chromosome is preprocessed in order to remove the blobs. Then, the image is segmented using labelling algorithm and the endpoints are calculated. Now, the overlapping chromosomes are removed when the number of end points is greater than two. The non-overlapped chromosomes are straightened using Reversible Projection algorithm. From the straightened chromosome band distance feature is calculated. The extracted features are given to the ANN classifier to identify the class of chromosome and to calculate the centromere. From the experimental results, it is observed that the proposed method is superior to the traditional method.
Financial asset yield series forecasting based on risk-neutral fuzzy bilinear regression and probabilistic neural network
Authors: Wu Xinhao , Lu Qiujun
Published: May 2021

Application of quantitative methods for forecasting purposes in financial markets has attracted significant attention from researchers and managers in recent years when conventional time series forecasting models can hardly develop the inherent rules of complex nonlinear dynamic financial systems. In this paper, based on the fuzzy technique integrated with the statistical tools and artificial neural network, a new hybrid forecasting system consisting of three stages is constructed to exhibit effectively improved forecasting accuracy of financial asset price. The sum of squared errors is minimized to determine the coefficients in fitting the fuzzy autoregression model stage for formulating sample groups to deal with data containing outliers. Fuzzy bilinear regression model introducing risk view based on quadratic programming algorithm that reflects the properties of both least squares and possibility approaches without expert knowledge is developed in the second stage. The main idea of the model considers the sub-models tracking the possible relations between the spread and the center, also linking the estimation deviation with risk degree of fitness of the model. In the third stage, fuzzy bilinear regression forecasting combining with the optimal architecture of probabilistic neural network classifiers indicates that the proposed method has great contribution to control over-wide interval financial data with a certain confidence level. Statistical validation and performance analysis using historical financial asset yield series on Shanghai Stock Exchange composite index all exhibit the effectiveness and stability of the proposed hybrid forecasting formulation compared with other forecasting methods.
A memetic algorithm for energy-efficient distributed re-entrant hybrid flow shop scheduling problem
Authors: Geng Kaifeng , Ye Chunming
Published: May 2021

Facing the worsening environmental problems, green manufacturing and sustainable development have attracted much attention. Aiming at the energy-efficient distributed re-entrant hybrid flow shop scheduling problem considering the customer order constraints (EDORHFSP) under Time-of-Use (TOU) electricity price, a mathematical model is established to minimize the maximum completion time and total consumption energy cost. In the study, some customer orders require production in multiple factories and jobs belonging to the same customer order must be processed in one factory. Firstly, a memetic algorithm (MA) was proposed to solve the problem. To improve the performance of the algorithm, encoding and decoding methods, energy cost saving procedure, three heuristic rules about the population initialization and some neighborhood search methods are designed. Then, Taguchi method is adopted to research the influence of parameters setting. Lastly, numerical experiments demonstrate the effectiveness and superiority of MA for the EDORHFSP.
Smoothly clipped absolute deviation estimation for uncertain autoregressive model
Authors: Li Haiyan , Yang Xiangfeng
Published: May 2021

Uncertain time series is chronological sequence overtime where each period is described by an uncertain variable. In this paper, we investigate the smoothly clipped absolute deviation (SCAD) penalized estimation method to determine the unknown parameters in the uncertain autoregressive model, and the autoregressive model order can be simultaneously obtained for a pre-given thresholding parameter λ. Besides, an iterative algorithm based on local quadratic approximations for finding the penalized estimators is provided. Based on the fitted autoregressive model, the forecast value and the future value’s confidence interval are given. Besides, the sum of the squared error approach to select the optimal λ is discussed. Finally, some examples are used to validate the effectiveness of the proposed method by the comparative analysis.
Selection of new energy vehicles using hybrid approach: A case study of China
Authors: Wu Meiqin , Li Zhuoyu , Fan Jianping
Published: May 2021

With resource shortage and environmental pollution becoming more and more serious, the development of new energy vehicles (NEVs) plays an important role. In this paper, the hybrid method of best-worst method (BWM), Multi-Objective Optimization by Ratio Analysis plus Full Multiplicative Form (MULTIMOORA), and Evaluation based on Distance from Average Solution (EDAS) is used to evaluate new energy vehicles (NEVs) and select the best new energy vehicle. BWM method is used to obtain the subjective preference weight, MULTIMOORA method is used to integrate the objective data with the subjective weight to evaluate new energy vehicles, and the final ranking of alternatives is obtained by the EDAS method. The paper collect the data of 22 representative new energy vehicle types in China, the validity and feasibility of the method is verified.
Fault feature extraction method of gear based on optimized minimum entropy deconvolution and accugram
Authors: Zhong Xianyou , Gao Xiang , Mei Quan , Huang Tianwei , Zhao Xiao
Published: May 2021

Gear fault vibration signals are commonly non-stationary, and useful fault information is often buried in heavy noise, which makes it difficult to extract gear fault features. How to select the suitable fault frequency bands is the key to gear fault diagnosis. To address the above problems, a method combining the improved minimum entropy deconvolution (MED) and accugram, named IMEDA, is proposed for extracting gear fault features. Firstly, a selection index based on permutation entropy (PE) and correlation coefficient is defined. Then, the optimal filter length can be effectively selected by the step-length searching method using the proposed index as objective function, and the improved MED is employed to preprocess the gear vibration signals. Finally, the accugram analysis is performed for the preprocessed signals to obtain the optimal frequency band, and the fault characteristic frequencies are extracted from the square envelope spectrum of the signals in the optimal band. The method is validated by gear experimental data with gear wear-out failure. The analysis results demonstrate that the proposed method owns superior effect by comparing with the fast kurtogram (FK), MED combined with FK (MED-FK), accugram and infogram.
Automatic recommendation of medical departments to outpatients based on text analyses and medical knowledge graph
Authors: Zhou Qing , Peng Wei , Tang Dai
Published: May 2021

In many countries, outpatients generally visit a major hospital without a referral from health professionals due to the shortage of family physicians. Not knowing at which medical specialty department to register, outpatients have to wait in long queues to consult receptionists. We propose to alleviate this situation via a computer system offering an automatic recommendation of departments (ARD) to outpatients, which identifies the appropriate medical department for outpatients according to their chief complaints. Besides, ARD systems can boost the emerging services of online hospital registration and online medical diagnosis, which require that the outpatients know the correct department first. ARD is a typical problem of text classification. Nevertheless, off-the-shelf tools for text processing may not suit ARD, because the chief complaints of outpatients are generally brief and contain much noisy information. To solve this problem, we propose ARD-K, a deep learning framework incorporating external medical knowledge sources. We also propose a dual-attention mechanism to mitigate the interference of noisy words and knowledge entities. The performance of ARD-K is compared with some off-the-shelf techniques on a real-world dataset. The results demonstrate the effectiveness of ARD-K for the automatic recommendation of departments to outpatients.
Assessment of Affective-Behavioral States in Parkinson’s Disease Patients: Towards a New Screening Tool
Authors: Schedlich-Teufer Charlotte , Jost Stefanie Theresa , Krack Paul , Witt Karsten , Weintraub Daniel , Baldermann Juan Carlos , Sommerauer Michael , Amstutz Deborah , van Eimeren Thilo , Dafsari Haidar Salimi , Kalbe Elke , Visser-Vandewalle Veerle , Fink Gereon Rudolf , Kessler Josef , Barbe Michael Thomas
Published: May 2021

Background: Assessment of affective-behavioral states in patients with Parkinson’s disease (PD) undergoing deep brain stimulation (DBS) is essential. Objective: To analyze well-established questionnaires as a pilot-study with the long term aim to develop a screening tool evaluating affective-behavioral dysfunction, including depression, anxiety, apathy, mania, and impulse control disorders, in PD patients screened for DBS. Methods: Two hundred ninety-seven inpatients with PD underwent standardized neuropsychiatric testing including German versions of Beck Depression Inventory-II, Hospital Anxiety and Depression Scale, Apathy Evaluation Scale, Self-Report Manic Inventory, and Questionnaire for Impulsive-Compulsive Disorders in PD-Rating Scale, to assess appropriateness for DBS. Statistical item reduction was based on exploratory factor analysis, Cronbach’s alpha, item-total correlations, item difficulty, and inter-item correlations. Confirmatory factor analysis was conducted to assess factorial validity. An expert rating was performed to identify clinically relevant items in the context of PD and DBS, to maintain content validity. We compared the shortened subscales with the original questionnaires using correlations. To determine cutoff points, receiver operating characteristics analysis was performed. Results: The items of the initial questionnaires were reduced from 129 to 38 items. Results of confirmatory factor analyses supported the validity of the shortened pool. It demonstrated high internal consistency (Cronbach’s alpha = 0.72–0.83 across subscales), and the individual subscales were correlated with the corresponding original scales (rs = 0.84–0.95). Sensitivities and specificities exceeded 0.7. Conclusion: The shortened item pool, including 38 items, provides a good basis for the development of a screening tool, capturing affective-behavioral symptoms in PD patients before DBS implantation. Confirmation of the validity of such a screening tool in an independent sample of PD patients is warranted.
Pheniramine dependence in obsessive-compulsive disorder: A case report
Authors: Bhandutia Dron Kinnarbhai , Nayok Swarna Buddha , Akshatha H.S. Dhanashree , Thimmaiah Sathyanarayana Malleshwara
Published: May 2021

BACKGROUND: Pheniramine abuse is reported not only in patients with psychiatric disorders but also in the general population. CASE REPORT: We report a case of pheniramine dependence in a patient with obsessive-compulsive disorder. The patient took about 250 mg orally daily and injected about 90 mg every week from the last six months. It reduced his anxiety, was cheaper than his other psychiatric medications, and free of stigma. He had lethargy, headache, uneasiness, anxiety, and poor sleep as withdrawal symptoms. RESULTS: This case highlights the vulnerability of those with psychiatric disorders towards pheniramine abuse. Hence, this report advocates the strict evaluation of over-the-counter drugs for patients with pre-existing psychiatric disorders.
Achievement of maturational milestones among very low birth weight infants
Authors: Sullivan B.A. , Slevin C.C. , Ahmad S.M. , Sinkin R.A. , Fairchild K.D.
Published: May 2021

BACKGROUND:

Very low birth weight (VLBW) infants must achieve several maturational milestones to be discharged home from the NICU.

OBJECTIVE:

Describe the timing of maturational milestones in VLBW infants and the impact of clinical variables and milestone achievement on postmenstrual age (PMA) at discharge.

METHODS:

For VLBW infants without severe lung disease discharged home from a level IV NICU, we assessed PMA at the achievement of thermoregulation, cardiorespiratory stability, feeding, and discharge.

RESULTS:

In 400 infants (median GA 28.4 weeks), lower birth weight, white race, and having multiple comorbidities of prematurity predicted later discharge PMA. The most common milestone sequence was CPAP discontinuation, caffeine discontinuation, thermoregulation, apnea resolution, and full oral feeds. PMA at apnea resolution and full oral feeds correlated highly with discharge PMA.

CONCLUSIONS:

In a single-center VLBW cohort, comorbidities of prematurity impacted the timing of NICU discharge through delay in oral feeding and cardiorespiratory stability.
PENGARUH STRATEGI PROMOSI TERHADAP PENJUALAN PRODUK PRODUK PANIN SUPER BONANZA WOW PADA PT. PANIN INDONESIA BANK CABANG PONDOK INDAH
Authors: Purwanti Purwanti
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh Strategi Promosi terhadap Penjualan produk Produk Panin Super Bonanza Wow Pada PT. Panin Indonesia Bank Cabang Pondok Indah. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 96 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini variabel Strategi Promosi diperoleh nilai rata-rata skor sebesar 3,403 dengan kriteria baik. Variabel Penjualan produk diperoleh nilai rata-rata skor sebesar 3,828 dengan kriteria baik. Strategi Promosi berpengaruh positif dan signifikan terhadap Penjualan produk dengan nilai persamaan regresi Y = 8,160 + 0,885X, dan nilai koefisien korelasi 0,803 atau memiliki tingkat hubungan yang kuat dengan nilai determinasi 64,5%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
PENGARUH ATRIBUT PRODUK TERHADAP KEPUTUSAN PEMBELIAN PADA PT. COLOLITE INDONESIA DI JAKARTA
Authors: Triyadi Triyadi
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh atribut produk terhadap keputusan pembelian pada PT. Cololite Indonesia di Jakarta.Metode yang digunakan adalah explanatory research dengan sampel sebanyak 88 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis.Hasil penelitian ini variabel atribut produk diperoleh nilai rata-rata skor sebesar 3,406 dengan kriteria baik. Variabel keputusan pembelian diperoleh nilai rata-rata skor sebesar 3,819 dengan kriteria baik. Atribut produk berpengaruh positif dan signifikan terhadap keputusan pembelian dengan nilai persamaan regresi Y = 8,342 + 0,877X, dan nilai koefisien korelasi 0,806 atau memiliki tingkat hubungan yang kuat dengan nilai determinasi 64,9%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
PENGARUH GAYA KEPEMIMPINAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA MCDONALD BINTARO
Authors: Andi Dede
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh gaya kepemimpinan dan motivasi terhadap kinerja karyawan pada McDonald Bintaro. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 42 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini gaya kepemimpinan berpengaruh signifikan terhadap kinerja karyawan sebesar 42,1%, uji hipotesis diperoleh signifikansi 0,000 < 0,05. Motivasi berpengaruh signifikan terhadap kinerja karyawan sebesar 46,8%, uji  hipotesis diperoleh signifikansi 0,000 < 0,05. Gaya kepemimpinan dan motivasi secara simultan berpengaruh signifikan terhadap kinerja karyawan sebesar 55,9%, uji hipotesis diperoleh signifikansi 0,000 < 0,05.
PENGARUH CAPITAL ADEQUACY RATIO DAN BOPO RATIO TERHADAP RETURN ON ASSET PADA PT. BANK MUAMALAT INDONESIA, TBK PERIODE 2010-2019
Authors: Lutfi Asep Muhammad , Erlangga Heri , Nurjaya Nurjaya , Priadana Sidik , Dwiwarman Denny Aditya
Published: May 2021

Penelitian ini bertujuan untuk mengetahui Pengaruh Capital Adequacy Ratio dan BOPO Ratio Terhadap Return On Asset Pada PT. Bank Muamalat Indonesia, Tbk. Metode yang digunakan adalah explanatory research. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini Capital Adequacy Ratio berpengaruh signifikan terhadap Return On Asset sebesar 45,5%, uji hipotesis diperoleh t hitung > t tabel atau (2,583 > 2,306). BOPO Ratio berpengaruh signifikan terhadap Return On Asset sebesar 47,6%, uji  hipotesis diperoleh t hitung > t tabel atau (2,698 > 2,306). Capital Adequacy Ratio dan BOPO Ratio secara simultan berpengaruh signifikan terhadap Return On Asset diperoleh persamaan regresi Y = -0,158 + 0,013X1 + 0,035X2 dan nilai determinasi sebesar 66,1%, uji hipotesis diperoleh nilai F hitung > F tabel atau (6,823 > 4,350).
PENGARUH EARNING PER SHARE DAN DEBT TO EQUITY RATIO TERHADAP HARGA SAHAM PADA PT. DELTA DUNIA MAKMUR, TBK TAHUN 2006-2019
Authors: Sari Widya Intan , Affandi Azhar , Putra Ivan Gumilar Sambas , Ilham Dodi , Sunarsi Denok
Published: May 2021

Penelitian ini bertujuan untuk mengetahui Pengaruh Earning Per Share dan Debt to Equity Ratio Terhadap Harga saham Pada PT. Delta Dunia Makmur, Tbk. Metode yang digunakan adalah explanatory research. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini Earning Per Share berpengaruh signifikan terhadap Harga saham sebesar 81,3%, uji hipotesis diperoleh t hitung > t tabel atau (2,716 > 2,179). Debt to Equity Ratio berpengaruh signifikan terhadap Harga saham sebesar 36,2%, uji  hipotesis diperoleh t hitung > t tabel atau (2,607 > 2,179). Earning Per Share dan Debt to Equity Ratio secara simultan berpengaruh signifikan terhadap Harga saham diperoleh persamaan regresi Y = 0,277 + 0,459X1 + 0,002X2 dan nilai determinasi sebesar 82,5%, uji hipotesis diperoleh nilai F hitung > F tabel atau (25,884 > 3,590).
ANALISIS KANDUNGAN GLUKOSA DAN FRUKTOSA PADA NIPAH (Nypa fruticans) DAN AREN (Arenga pinnata)
Authors: Sarjani Tri Mustika , Hasby Hasby , Mawardi Abdul L
Published: May 2021

Nypa fructicans dan Arenga pinnata tergolong dalam suku palmae. Tumbuhan ini sering dimanfaatkan oleh masyarakat aceh sebagai sumber air nira. Tujuan penelitian ini untuk menganalisis kandungan glukosa dan fruktosa yang terkandung pada air nira (Nypa fruticans) dan air nira (Arenga pinnata). Penelitian ini menggunakan metode anthrone. Metode kolorimetri yang digunakan untuk menentukan konsentrasi gula dalam sampel berupa metode Anthrone. Sampel air nira dianalisis menggunakan spektrofotometer. Penelitian ini menunjukkan bahwa kandungan pada glukosa yang paling tinggi ada pada air Arenga pinnata sebesar 7,61%, sedangkan yang paling rendah pada air Nypa fruticans sebesar 4,66%. Demikian juga dengan kandungan fruktosa, dimana air Arenga pinnata sebesar 4,17% memiliki kandungan fruktosa yang paling tinggi sedangkan air Nypa fruticans  mengandung fruktosa paling rendah yaitu 1,90%.
Nonlinear Properties Analysis of Metallic Fatigue Damage Process Based on the Combined Nonlinear Parameter
Authors: Zhang Yuhua , Quan Silong , Li Yuezhong , Liu Guoquan
Published: May 2021

To effectively extract the nonlinear properties of fatigue crack extension and evaluate the fatigue damage of metallic specimens, the chaos and fractal theory is applied to analyze the nonlinear output signal in a nonlinear ultrasonic experiment. A combined nonlinear parameter using the Lyapunov exponent, Kolmogorov entropy, and correlation dimension is proposed to evaluate the nonlinearity of fatigue damage. The nonlinear ultrasonic experiment is carried out on specimens with different stages of fatigue life, wherein the ultrasonic nonlinear output signal is collected and its combined nonlinear parameters are calculated. With the increase of fatigue damage in metallic specimens, the combined nonlinear parameter increases monotonically and tends to become saturated when a macroscopic crack appears, which indicates that complexity and randomness gradually increase during the accumulation of fatigue damage. According to microcrack propagation, the combined nonlinear parameter is very sensitive to the evolution of fatigue damage in metallic specimens, especially earlier fatigue damage. The relationship between the combined nonlinear parameter and the fatigue damage of specimens is established, which can provide an effective analytical method for evaluating fatigue damage and predicting the service life of specimens.
A Review : Load Balancing in Cloud
Authors: Kaur Harneet , Sharma Raju
Published: May 2021

Presently, Cloud Computing is an internet-based technology which is growing rapidly, and we are adopting it in a fine way where we have more than enough technologies to develop advance communication technologies such as IOT, Big data, Machine learning and AI. Among all these technologies we have load balancing, which is the process of distributing a set of tasks and network traffic across multiple servers. This has increased the availability of applications and websites for end-users. This paper presents a detailed review about the load balancing techniques. It also ensures the advantage and limitations of the existing methods and highlighted them with extreme challenges. This paper also suggests the new insight and best usage towards load balancing in cloud computing.
Server Operated Easy Payment in Shopping Mall
Authors: Agarwal Subham , Rai Prakhar , Kumar Manish , Kashyap Adarsh , Swaraj Shubham
Published: May 2021

In today’s' era we see a huge crowd in the shopping malls. This is due to the growing population and the less numbers of billing counters in the shopping mall. The customers waste a lot of expensive time standing in the queue for billing. Keeping this in mind the idea of “SERVER OPERATED EASY PAYMENT IN SHOPPING MALL” is originated. This is also named as “EASY PAY”. An application is designed which holds the product. The customer can add the products to the cart of his/her choice. The total bill calculation is done by the application itself. After buying, a payment page pops up which allows the customer to make his payment then and there. This reduces the time of standing in queue. The payment is sent to the database we designed, which is connected to the application. The database holds the record of every customer which a unique customer Id to ensure safety of every customers. At the other end the security checker matches the product bought by customers by matching the Id with the database to ensure safety and stealing of products. This saves the time of the customer and he have to not stand in queue anymore for billing. This idea defines that how internet and technology can change the world if used in a proper manner.
Dynamic Environment Improvement for Vanets
Authors: Singh Ratan Deep , Gugnani Pankaj
Published: May 2021

Vehicular Ad-Hoc Network (VANET) are dynamic network because no fixed topology available in this environment, in this paper we try to check VANET environment and studied how we create the message with the help of simulator and send message source to destination simulator used dedicated short range protocol (DSRC) for communication. We check the efficiency of the environment and collect the data for improvement of the network.
Quantum Clocks with Double Audit and Relations with Gravity
Authors: Jindal Harsh , Kaur Jagdeep
Published: May 2021

In this paper, a non-repeating quantum algorithm is introduced that depends on detectable Byzantine’s quantum solution that attains Clk synchronization in the arbitrary faultier processes’ presence through utilizing a double quantum system only. Precisely, it has been shown that general relativistic mass–energy equivalences intimate gravitational relation among Clks, however, energy’s quantum mechanical superposition resulted in a non-fixed metric background. Depending only on assumptions that gravitational principles held in such conditions, it has been shown that the Clks essentially gets involve over time dilation effect that ultimately results in a double Clk coherence loss. Therefore, the measured time through a double Clk is not defined precisely. Although, the time’s general relativistic notion is recuperated in the Clks conventional limits.
A Simple Application of Managing Employee Details Using Core Technologies
Authors: Sonavane Rupali
Published: May 2021

Employee management System is an application that enables user to create and store Employee Records. The application also provides the facilities of a payroll system which enables user to make payments too. This application is helpful to department of the organization which maintains data of employees related to an organization. Java is a platform independent language. Its created applications can be used on a standalone machine as well as on distributed network. More over applications Developed in java can be extended to Internet based application.
Trends in Cloud Computing
Authors: Dadpe Shreya S. , Patil Pratiksha P. , Sultanpure Prof. V. M.
Published: May 2021

In today's world cloud computing is widely used in many it industries. Cloud computing is an emerging model of business computing. Cloud computing which is based on internet has the most powerful architecture of computation. Because of the newly in innovative technologies in cloud computing, the number of labs is transformed into cloud named as the virtual labs. It considers a collection of integrated and networked hardware, software and internet infrastructure. Cloud computing is a development of parallel computing, distributed computing, grid computing and virtualisation technologies from cloud computing adoption accept and also focuses on cloud interoperability issues. We also present the popular platforms of cloud computing. In this paper, we explore several cloud computing system providers about their concerns on security and privacy issues. We also present the characteristics and applications of different well-known cloud computing platforms. We also purpose to recognise the challenges and issues of cloud computing. However, security and privacy issues present a strong roadblock for users to adapt into cloud computing systems.
A Privacy-Preserving Outsourcing Data Storage Scheme with Oruta Data Auditing
Authors: Kalaiyarasi Mrs. A. , Punarselvam Dr. E. , Lavanya B. , Nivetha A. , Lakshmi A. Salai Amirtha , Kowsalya S.
Published: May 2021

Cloud Computing has been envisioned as the next generation architecture of IT Enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, Cloud Computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. With cloud computing and storage, users are able to access and to share resources offered by cloud service providers at a lower marginal cost. With cloud computing and storage services, data is not only stored in the cloud, but routinely shared among a large number of users in a group. In this project, we propose Oruta, a privacy-preserving auditing scheme for shared data with large groups in the cloud. We utilize ring signatures to compute verification information on shared data, so that the TPA is able to audit the correctness of shared data, but cannot reveal the identity of the signer on each block. We can implement the batch auditing scheme to perform efficient public auditing to protect both identity and data privacy in cloud environments.
Palm Fracture Detection using Convolution Neural Network
Authors: Dave Dr. Harsh S , Patel Dr. Vaishnavi , Gopalak Dr. Aash , Bhatt Dr. Harsh , Degadwala Dr.  Sheshang , Vyas Dhairya
Published: May 2021

Palm fractures are due to punching heavy objects (such as a wall or a jaw). A major part of the human body is the palm. Palm provides the hand movement capability. Palm Bone breaks in the human body are fundamental. If the outcome of these fractures is someone's sting in the lips, the skin may be broken. In such instances, wound can be contaminated with bacteria from the other person's mouth and cause illnesses that can permanently impair use of the hand if they are not handled quickly. For analysis of the broken palm, the specialists use the X-ray picture. The manual crack detection is repetitive and the risk of error is high. In order to analyses the broken bone, a robotic system must therefore be developed. In this article, several methods are examined for identification, extraction and characterization. In addition, an inspection is often completed in good conditions and inconvenience. The proposed CNNs are also exploring the expectations of palm bone cracks as positive or negative.
Lung Cancer Prediction Using Chest X-Rays
Authors: Jeevana Vegi , Charan B. Sai Ram
Published: May 2021

Cancer is the most important cause of death for both man and women .The early detection of cancer can be helpful in the curing of the disease completely. So the requirement of techniques to detect the occurrence of cancer in early stage is increasing. To design a model that can be useful in early identification and prediction of a lung diseases have become a necessity in the research, as it can facilitate the subsequent clinical management of patients. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common treatable blinding retinal diseases. Our framework utilizes a technique, which trains a neural network with a fraction of the data of conventional approaches. For such purpose, we employ the Deep learning techniques and machine learning approaches to train the data and evaluate the efficiency of our proposed research.
A Review : On Phytochemical Analysis and Antioxidant activities with Medicinal uses of Combretaceae Family
Authors: Stacey Christian , Maitreya Bharat
Published: May 2021

The Combretaceae family consists of 600 species of trees, shrubs and lianas in about 18-20 genera. Plants belonging to this family are found in tropical and subtropical regions, mostly in Africa and India. Combretum and Terminalia are the largest and most widespread genus of Combretaceae. Species of Combretaceae family are reported for treating many diseases and have important secondary metabolites with antioxidant activities. This review focuses on 11 medicinal plants, 9 phytochemical containing plants and 33 plants having antioxidant activity.
Analysis of Physico Chemical Parameters of Medchal Lake in Telangana State
Authors: Potharaju Raju , Aruna M.
Published: May 2021

In the present work an attempt was made to assess the Physico Chemical Parameters of a water body in Telangana state for a period of one year during January 2019 to December 2019. Water samples were collected from four different sampling stations of Medchal Lake labeled as S1, S2, S3, and S4. Samples were collected at monthly interval in order to assess physico chemical parameters such as temperature, pH, turbidity, total dissolved solids, total hardness, chlorides, phosphate, nitrates, sodium, potassium, dissolved oxygen and biological oxygen demand, following the standard methods of APHA (2005)[1]. The results revealed that there was significant variation in some physicochemical parameters and most of the parameters were found to be in normal range of permissible limit and thus indicated better quality of lake water. It has been found that the water was suitable for drinking purpose
A Review on Recent Advances of Diagnosis and Monitoring of Different Kinds of Diabetes Mellitus
Authors: Baba Ibrahim Bala , Bharti Jaya
Published: May 2021

The increased incidence of non-communicable diseases like Diabetes, with its associated mortality and morbidity amount has contrived the healthcare society to come up with a new way to deal with it. Type 1 Diabetes has usually been the area of importance as the source of the autoimmune reaction, can be refer to many genetic and environmental circumstance. These audits of essay aims to element the origins of Type 1and Type 2 Diabetes and also investigate novel procedure in the examination and monitoring of patients, within the area from conventional blood glucose levels and glycosylated in the level of hemoglobin to genetic markers, hormone levels and autoimmune antibody levels. Monitoring and therapeutic mediation have also proceed from syringe and vial policy of glucose to portable Glucometers, insulin pumps and the artificial pancreas device system. The invention of the Non-invasive Blood glucose monitoring structure is also ongoing. Digitalization in healthcare management has get to the improvement of smart phone operation for the desertification of health data for diabetic patients leading to further global electronic health records that can promote care delivery. The advocacy of self-management with the support of health data operation, increased the consciousness due to diabetic educators, national and global campaigns, and the arrangement of hysterical and psychological support to the patients, has helped to improve consent to fight the disease. The holistic, interdisciplinary and patient centric design used to access the management of Type 1 and Type 2 Diabetes, has shown revised patient result.
Políticas Públicas De Formação Docente: Implicações No Processo De Ensino E Aprendizagem Na Educação Básica
Authors: Araujo Luiz Carlos Marinho de
Published: May 2021

O presente estudo discute a temática formação em serviço dos professores partindo do questionamento: De que forma as políticas públicas de formação docente desenvolvidas pelo município de Itamari, Bahia estão contribuindo para a melhoria do processo de ensino e aprendizagem? Objetiva-se identificar se os programas de formação PACTO e PNAIC colaboram com o processo qualificação do ensino e aprendizagem nas turmas iniciais do Ensino Fundamental. O artigo é resultado da pesquisa realizada com os professores do município de Itamari que participaram das formações oferecidas pelos programas PACTO e PNAIC entre os anos 2013 a 2018, ambos os programas têm a pretensão de cumprir a meta 05 do Plano Nacional de Educação (PNE), por meio da estratégia 5.6. O estudo teve seu início em 2018 com a elaboração do resumo “As políticas públicas de formação docente e o impacto no processo de ensino e aprendizagem”, contendo a proposta de pesquisa apresentado no II Seminário Internacional Educação, Políticas Públicas e Desenvolvido Social, promovido pela Universidade Estadual da Bahia (UNEB), compus XI, na cidade de Serrinha. Pretende-se analisar em que medida os programas fortalecem a melhoria da aprendizagem dos alunos do 1º, 2º e 3º ano do Ensino Fundamental. Para alcançar os objetivos da pesquisa foi realizado um estudo qualitativo por meio da pesquisa de campo, utilizando os instrumentos – questionário e observação em sala de aula. Os dados foram analisados tendo como base referencial a Análise Textual Discursiva (ATD) que evidenciaram pontos significantes acerca da relevância dos referidos programas para o aprendizado dos alunos dos três primeiros anos do Ensino Fundamental. A realização da pesquisa apresenta resultados significativos para os envolvidos com o Sistema Educacional Brasileiro ao oferecer debates que fortalecem as reflexões sobre a adesão de programas de formação continuada para os professores que atuam na Educação Básica. O estudo também aponta subsídios para a ampliação das discussões que abarcam os efeitos de um programa de formação docente, alinhado aos resultados que a Avaliação Nacional da Alfabetização (ANA) aponta no âmbito do município de Itamari, Bahia.
Ricardo Carvalho Calero e o teatro
Authors: Tato Fontaíña Laura
Published: May 2021

Neste artigo, a autora fai un percurso polas actividades dramáticas de Ricardo Carvalho Calero. Comeza coa súa primeira obra, escrita en 1934, dentro do programa de modernización e actualización do teatro galego iniciado polas Irmandades da Fala e continuado polo Grupo Nós, a xeración das Vangardas e a do Seminario de Estudos Galegos. Pasa polas obras escritas na soidade da posguerra e os traballos relacionados co teatro escolar en Fingoi, para acabar coas últimas reflexións do autor sobre os pactos da Transición política, en 1980, coa escrita de Os xefes.
Proposta de reforma das Normas Ortográficas e Morfolóxicas da Real Academia Galega (1970-1971), presentada por Ricardo Carballo Calero en 1979
Authors: Monteagudo Henrique
Published: May 2021

No presente traballo dáse a coñecer a proposta articulada de reforma das Normas ortográficas e morfolóxicas da RAG presentada por Carballo á Academia en 1979, e reconstrúense os antecedentes e o curso da mesma, o que permite coñecer a evolución da posición de Ricardo Carballo Calero en relación coa codificación normativa do galego e supón unha nova achega á propia historia desta cuestión.
TELAAH SOSIO YURIDIS TERHADAP KEPATUHAN WARGA PADA SISTEM REGULASI PENCEGAHAN DAN PENANGGULANGAN PANDEMI COVID-19
Authors: Adrian Muhammad
Published: May 2021

Tujuan dari penelitian ini ialah untuk mengetahui kondisi kepatuhan warga terhadap aturan hukum penanggulangan pandemi COVID-19. Penelitian ini menggunakan metode penelitian hukum dengan fokus pada penelitian normatif empiris. Hasil penelitian ini adalah setelah pemerintah memberlakukan regulasi dan kebijakan penanganan pandemik COVID-19, dampak yang ditimbulkan selama pandemi cukup signifikan dalam bidang kesehatan, sosial, dan ekonomi. Berbagai langkah telah ditempuh untuk mencegah, mengendalikan dan menanggulangi pandemi COVID-19
EFEKTIFITAS HUKUM PEMBERLAKUAN PP NO 21 TAHUN 2020 DI PABUARAN MEKAR KABUPATEN BOGOR
Authors: Pratama Anugrah Bintang , Al-Afghani Mohamad Mova
Published: May 2021

The purpose of this study is to see whether the current regulations have met the expectations and targets that are wanted in the context of dealing with the spread of the Coronavirus. The research data were collected using a questionnaire and also interviews. The research was conducted in the Pabuaran Mekar environment. The results showed that (1) the majority of the public already knew about the regulations made by the government regarding PSBB in general. (2) The majority of the people have carried out the government's recommendations as stated in the PP. (3) The majority of the public thinks that the existence of regulations regarding PSBB will be able to reduce the spread of COVID-19 to be smaller which continues to increase every day.

 

Abstrak

Tujuan dari penelitian ini adalah untuk melihat apakah peraturan yang telah ada saat ini telah memenuhi ekspektasi dan juga target yang dinginkan dalam rangka penanganan penyebaran virus Corona. Data penelitian dikumpulkan dengan menggunakan cara kuesioner dan juga interviu. Penelitian dilakukan di lingkungan Pabuaran Mekar. Hasil penelitian menunjukkan bahwa (1) Mayoritas masyarakat sudah mengetahui tentang peraturan yang dibuat oleh pemerintah mengenai PSBB secara garis besar. (2) Mayoritas masyarakat telah menjalankan anjuran pemerintah sebagaimana yang telah tertuang di dalam PP tersebut. (3) Mayoritas masyarakat menilai bahwa dengan adanya peraturan mengenai PSBB ini akan mampu menekan angka penyebaran COVID-19 menjadi lebih kecil yang terus meningkat setiap harinya.
EFEKTIFITAS KEPUTUSAN BUPATI BOGOR NOMOR 443/432/KPTSPER-UU/2020 TENTANG PERPANJANGAN KETIGA PEMBERLAKUAN PEMBATASAN SOSIAL BERSKALA BESAR (PSBB) DI DESA GUNUNG PUTRI
Authors: Ariananda Yogi , Lestari Nisa
Published: May 2021

Bogor Regent Decree Number 443/432 / Kpts / Per-UU / 2020 contains the prohibition of locations that must be closed and locations that are allowed to be opened in the context of Preventing the Spread of Corona Virus Disease (COVID-19). This study aims to analyze the effectiveness of the decision of the Bogor Regent Number 443/432 / Kpts / Per-UU / 2020 concerning Large-Scale Social Restrictions (PSBB) phase three. The research data were collected using a questionnaire, interview, and observation instruments. Research shows that residents have tried to follow the rules and obey them so that people are free from the spread of Covid-19 and try to provide the best service according to the rules.

 
Abstrak
Surat Keputusan Bupati Bogor Nomor 443/432/Kpts/Per-UU/2020 yang berisi tentang Larangan lokasi yang harus ditutup maupun lokasi yang diperbolehkan dibuka dalam rangka Pencegahan Penyebaran Corona Virus Disease (COVID-19). Penelitian ini bertujuan untuk menganalisis efektivitas keputusan Bupati Bogor Nomor 443/432/Kpts/Per-UU/2020 tentang Pembatasan Sosial Berskala Besar (PSBB) tahap tiga. Data Penelitian ini dikumpulkan dengan menggunakan instrumen kuesioner, wawancara, dan observasi.  Penelitian menunjukkan bahwa warga telah berusaha mengikuti aturan dan mematuhinya, supaya masyarakat terbebas dari penyebaran Covid-19 dan berusaha memberikan pelayanan terbaik sesuai aturan.
EFEKTIVITAS PELAKSANAAN ATURAN DALAM PENCEGAHAN DAN PENANGGULANGAN COVID-19 DI PERUMAHAN CIBINONG CITY KELURAHAN SUKAHATI KECAMATAN CIBINONG
Authors: Umayyah Siti Indah , Daming Saharuddin
Published: May 2021

This study aims to determine the effectiveness of implementing regulations in the prevention and control of COVID-19. This study uses legal research methods based on empirical normative research. The results of the research: it was found that a series of government policies in handling the COVID-19 pandemic, had a significant impact after the implementation of policies during the pandemic period, efforts to prevent, control and control the COVID-19 pandemic were carried out in such a way at the research location despite facing various obstacles and violations.

 

Abstrak

Penelitian ini bertujuan untuk mengetahui efektivitas pelaksanaan aturan dalam pencegahan dan penanggulangan COVID-19. Penelitian ini menggunakan metode penelitian hukum yang berbasis pada jenis penelitian normatif empiris. Adapun hasil penelitian: ditemukan rangkaian kebijakan pemerintah dalam penanganan pandemik COVID-19, terjadi dampak yang cukup signifikan pasca penerapan kebijakan di masa pandemi, upaya pencegahan, pengendalian, dan penanggulangan pandemi COVID-19 dilakukan sedemikian rupa di lokasi penelitian meski menghadapi berbagai kendala dan pelanggaran.
PELAKSANAAN PERWALI NOMOR 64 TAHUN 2020 DI RUKUN WARGA 16 BUMI MENTENG ASRI BOGOR
Authors: Setiawan Ricko , Mustika Desty Anggie
Published: May 2021

Perwali no.64 of 2020 is a regulation issued by the Mayor of Bogor by implementing administrative sanctions for the people of Bogor City who violate the regulations of the Perwali to prevent the spread and transmission of Covid-19. From the observations there were residents' activities that were at risk of causing the spread and transmission of Covid-19 and receiving administrative sanctions during the PSBB. Of the activities that have received administrative sanctions, residents of Rukun Warga 16 have tightened health protocols following applicable regulations.

 

Abstrak

Perwali no.64 tahun 2020 adalah peraturan yang dikeluarkan oleh Wali Kota Bogor dengan menerapkan sanksi administratif bagi masyarakat Kota Bogor yang melanggar aturan dari Perwali tersebut dalam rangka pencegahan penyebaran dan penularan Covid-19. Dari hasil observasi terdapat kegiatan warga yang berisiko menyebabkan penyebaran dan penularan Covid-19 serta mendapat sanksi administratif selama PSBB berlangsung. Dari kegiatan yang telah mendapat sanksi administratif itu, warga Rukun Warga 16 mengetatkan protokol kesehatan sesuai dengan peraturan yang berlaku.
TINJAUAN SOSIOLOGI HUKUM TERHADAP PENERAPAN REGULASI DALAM PENANGANAN PANDEMI COVID-19 DI DESA PURWASARI KECAMATAN DRAMAGA KABUPATEN BOGOR
Authors: Nisa Zamillatun , Daming Saharuddin
Published: May 2021

COVID-19 is a virus that is very dangerous for all humans in all corners of the world because this virus can attack anyone of all ages, gender, race, ethnicity, religion, profession, and others. To prevent the transmission of the COVID-19 virus from becoming increasingly high, the government has issued several regulations for the handling and handling of the COVID-19 pandemic. One of them is the implementation of large-scale social restrictions in several areas. This policy inevitably has a socio-economic impact on society and the government itself. The income level of residents has greatly decreased due to weak economic activity, and many have even lost their income due to layoffs. Meanwhile, the social assistance provided by the government has been misplaced and overlaps with local government assistance. The nominal amount received by each poor family is very inadequate to meet basic needs, where several officials for the distribution of social assistance often make illegal cuts and without the consent of the residents. This study uses legal research methods with an emphasis on normative-empirical research. The purpose of this study was to determine the problem factors and efforts to prevent and overcome COVID-19 in the area, especially in the location of Purwasari Village, Dramaga, Bogor.

Keywords: COVID-19, Economic Factors, Health Factors

Abstrak

COVID-19 merupakan virus yang sangat berbahaya bagi seluruh manusia di segala penjuru dunia, karena virus ini dapat menyerang siapa saja dari semua kalangan usia, gender, ras, etnis, agama, profesi, dan lain-lain. Untuk mencegah penularan virus COVID-19 yang semakin tinggi maka pemerintah mengeluarkan sejumlah regulasi penanganan dan penanggulangan pandemi COVID-19. Salah satu di antaranya adalah penerapan pembatasan sosial berskala besar di sejumlah daerah. Kebijakan tersebut tak pelak menimbulkan dampak sosial ekonomi pada masyarakat maupun pemerintah sendiri. Tingkat Penghasilan warga, sangat menurun akibat lemahnya aktivitas perekonomian, bahkan banyak yang malah kehilangan pendapatan akibat terkena pemutusan hubungan kerja. Sementara bantuan sosial yang disalurkan pemerintah, banyak yang salah sasaran dan tumpang tindih dengan bantuan pemerintah daerah. Jumlah nominal yang diterima setiap keluarga miskin, sangat tidak memadai untuk memenuhi kebutuhan dasar, di mana sejumlah oknum Pejabat penyaluran bantuan sosial tersebut, sering melakukan pemotongan tidak resmi dan tanpa persetujuan warga. Penelitian ini menggunakan metode penelitian hukum dengan penekanan pada penelitian normatif-empiris. Tujuan Penelitian ini untuk mengetahui faktor permasalahan dan upaya pencegahan dan penanggulangan COVID-19 yang ada di daerah khususnya di lokasi Desa Purwasari, Dramaga, Bogor.